diff --git a/notebooks/analysis/new_frame.ipynb b/notebooks/analysis/new_frame.ipynb
index 9e3f27ab5a3af3a06023aae09de7f87a19548a9b..fbdc5497fb94109c9f4d064c4e186c7b5b0312ee 100644
--- a/notebooks/analysis/new_frame.ipynb
+++ b/notebooks/analysis/new_frame.ipynb
@@ -271,25 +271,33 @@
"use_all = False"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Evolution of loadings over time"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 209,
"metadata": {},
"outputs": [],
"source": [
"\n",
"components = ['PC-1', 'PC-2']\n",
- "\n",
+ "removed = ['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY']\n",
+ "#removed = ['iso','cow','GY']\n",
"loadings={}\n",
"for start_year in range(min_year, max_year+1):\n",
- " pca.fit(G[start_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY'])) \n",
- " loadings[start_year] = pd.DataFrame(pca.components_.T*np.sqrt(pca.explained_variance_), columns=components, index=G[start_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY']).columns)\n",
+ " pca.fit(G[start_year].drop(columns=removed)) \n",
+ " loadings[start_year] = pd.DataFrame(pca.components_.T*np.sqrt(pca.explained_variance_), columns=components, index=G[start_year].drop(columns=removed).columns)\n",
" loadings[start_year]['Survey']=start_year"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 210,
"metadata": {},
"outputs": [],
"source": [
@@ -303,91 +311,748 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 211,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "PC-1 4.21953\n",
+ "PC-2 3.71071\n",
+ "Survey 14.00000\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 211,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "loadings_df.loc['Use.of.contraception'].abs().max()-loadings_df.loc['Use.of.contraception'].abs().min()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 212,
"metadata": {},
"outputs": [
{
"data": {
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- "* plotly.js v1.58.2\n",
- "* Copyright 2012-2020, Plotly, Inc.\n",
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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,U),i=(i=Math.imul(A,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(A,H)|0,i=(i=i+Math.imul(A,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(A,W)|0,i=(i=i+Math.imul(A,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,X)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,X)|0,n=n+Math.imul(A,J)|0,i=(i=i+Math.imul(A,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,X)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,X)|0,n=n+Math.imul(C,J)|0,i=(i=i+Math.imul(C,K)|0)+Math.imul(L,J)|0,a=a+Math.imul(L,K)|0,n=n+Math.imul(A,$)|0,i=(i=i+Math.imul(A,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var Mt=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(P,J)|0,i=(i=i+Math.imul(P,K)|0)+Math.imul(z,J)|0,a=a+Math.imul(z,K)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(A,rt)|0,i=(i=i+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(A,at)|0,i=(i=i+Math.imul(A,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(A,lt)|0,i=(i=i+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(A,ft)|0,i=(i=i+Math.imul(A,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ft)|0,i=(i=i+Math.imul(C,ht)|0)+Math.imul(L,ft)|0,a=a+Math.imul(L,ht)|0;var Lt=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(i=(i=i+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ft)|0,i=(i=i+Math.imul(P,ht)|0)+Math.imul(z,ft)|0,a=a+Math.imul(z,ht)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function T(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(x,v),i(b,v),i(_,v),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(m[t])return m[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var 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a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],248:[function(t,e,r){var n=[.9999999999998099,676.5203681218851,-1259.1392167224028,771.3234287776531,-176.6150291621406,12.507343278686905,-.13857109526572012,9984369578019572e-21,1.5056327351493116e-7],i=[.9999999999999971,57.15623566586292,-59.59796035547549,14.136097974741746,-.4919138160976202,3399464998481189e-20,4652362892704858e-20,-9837447530487956e-20,.0001580887032249125,-.00021026444172410488,.00021743961811521265,-.0001643181065367639,8441822398385275e-20,-26190838401581408e-21,36899182659531625e-22];function a(t){if(t<0)return Number(\"0/0\");for(var e=i[0],r=i.length-1;r>0;--r)e+=i[r]/(t+r);var n=t+607/128+.5;return.5*Math.log(2*Math.PI)+(t+.5)*Math.log(n)-n+Math.log(e)-Math.log(t)}e.exports=function t(e){if(e<.5)return Math.PI/(Math.sin(Math.PI*e)*t(1-e));if(e>100)return Math.exp(a(e));e-=1;for(var r=n[0],i=1;i<9;i++)r+=n[i]/(e+i);var o=e+7+.5;return Math.sqrt(2*Math.PI)*Math.pow(o,e+.5)*Math.exp(-o)*r},e.exports.log=a},{}],249:[function(t,e,r){e.exports=function(t,e){if(\"string\"!=typeof t)throw new TypeError(\"must specify type string\");if(e=e||{},\"undefined\"==typeof document&&!e.canvas)return null;var r=e.canvas||document.createElement(\"canvas\");\"number\"==typeof e.width&&(r.width=e.width);\"number\"==typeof e.height&&(r.height=e.height);var n,i=e;try{var a=[t];0===t.indexOf(\"webgl\")&&a.push(\"experimental-\"+t);for(var o=0;o<a.length;o++)if(n=r.getContext(a[o],i))return n}catch(t){n=null}return n||null}},{}],250:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=f[M],this.lastCubeProps.axis[M]=h[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,f,h);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=h[M]:E[M]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(M=0;M<3;++M){var C=[0,0,0];h[M]>0?C[M]=a[1][M]:C[M]=a[0][M];for(var L=0;L<2;++L){var I=(M+1+L)%3,P=(M+1+(1^L))%3;this.gridEnable[I]&&this._lines.drawGrid(I,P,this.bounds,C,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(L=0;L<2;++L){I=(M+1+L)%3,P=(M+1+(1^L))%3;this.zeroEnable[P]&&Math.min(a[0][P],a[1][P])<=0&&Math.max(a[0][P],a[1][P])>=0&&this._lines.drawZero(I,P,this.bounds,C,this.zeroLineColor[P],this.zeroLineWidth[P]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(v,A[M].primalMinor),O=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=k/r[5*L];z[L]*=D[L]*R,O[L]*=D[L]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,O,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(M=0;M<3;++M){var U=A[M].primalMinor,V=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[M]&&(q[L]+=k*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,U,V);for(L=0;L<3;++L)q[L]+=k*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(L=0;L<3;++L)q[L]+=k*U[L]*this.labelPad[L]/r[5*L];q[M]+=.5*(a[0][M]+a[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":251,\"./lib/cube.js\":252,\"./lib/lines.js\":253,\"./lib/text.js\":255,\"./lib/ticks.js\":256}],251:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":259,\"gl-vao\":358}],252:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<M)+(L<<A)+(1-L<<S),P=z+(1-L<<A)+(L<<S);o(c[z],c[I],c[P],f)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<M);else{for(L=0;L<2;++L){I=(z=L<<M)+(L<<A)+(1-L<<S),P=z+(1-L<<A)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<A)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<M)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(M=0;M<3;++M)V[M]=q&1<<M?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":97,\"gl-mat4/multiply\":295,\"robust-orientation\":548,\"split-polygon\":566}],253:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":254,\"gl-buffer\":259,\"gl-vao\":358}],254:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n vec4 pp = projection * view * model * vec4(p, 1.0);\\n return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n vec3 major = position.x * majorAxis;\\n vec3 minor = position.y * minorAxis;\\n\\n vec3 vPosition = major + minor + offset;\\n vec3 pPosition = project(vPosition);\\n vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n vec4 pp = projection * view * model * vec4(p, 1.0);\\n return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n vec3 A = project(a);\\n vec3 B = project(b);\\n\\n return atan(\\n (B.y - A.y) * resolution.y,\\n (B.x - A.x) * resolution.x\\n );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio = alignOpt.y;\\nbool enableAlign = (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n return mod_angle((a < 0.0) ?\\n a + TWO_PI :\\n a\\n );\\n}\\n\\nfloat look_upwards(float a) {\\n float b = positive_angle(a);\\n return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":335,glslify:257}],255:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var 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n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":252,\"extract-frustum-planes\":240,\"gl-mat4/multiply\":295,\"gl-mat4/transpose\":306,\"gl-vec4/transformMat4\":429,\"split-polygon\":566}],259:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:495,\"ndarray-ops\":490,\"typedarray-pool\":595}],260:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*k),a.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],C=x[2],L=g[y],I=n.length(L)*k,P=0;P<8;P++){a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.positions.push([S,E,C,A++]),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vectors.push(L),a.vertexIntensity.push(I,I,I),a.vertexIntensity.push(I,I,I);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":261,\"./lib/shaders\":262,\"gl-vec3\":377}],261:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,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=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var M,A=h;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495}],262:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:263}],263:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],264:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\"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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":335,glslify:267}],269:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: 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u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":353}],270:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":66,\"gl-constants/lookup\":265,\"glsl-shader-name\":431,\"sprintf-js\":567}],271:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),M=a.mallocUint8(2*w),A=a.mallocUint32(w),S=0,E=l?b-1:b,C=l?_-1:_,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<_-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<_-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=y*(r[z]-c),D=y*(r[z+1]-c)):(O=z<b-1?y*(r[z]-(r[z+1]-r[z])/2-c):y*(r[z]-(r[z]-r[z-1])/2-c),D=z<b-1?y*(r[z]+(r[z+1]-r[z])/2-c):y*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(L+V)*b+(z+U):L*b+z],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,M[2*S]=U,M[2*S+1]=V,A[S]=L*b+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(M),this.colorBuffer.update(T),this.idBuffer.update(A),a.free(k),a.free(T),a.free(M),a.free(A)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":272,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"iota-array\":463,\"typedarray-pool\":595}],272:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n fragColor = color;\\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n vec2 d = step(.5, vWeight);\\n vec4 id = fragId + pickOffset;\\n id.x += d.x + d.y*shape.x;\\n\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n vWeight = weight;\\n\\n fragId = pickId;\\n\\n vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:273}],273:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],274:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n vec4 startPoint = project(position);\\n vec4 endPoint = project(nextPosition);\\n\\n vec2 A = startPoint.xy / startPoint.w;\\n vec2 B = endPoint.xy / endPoint.w;\\n\\n float clipAngle = atan(\\n (B.y - A.y) * screenShape.y,\\n (B.x - A.x) * screenShape.x\\n );\\n\\n vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n sin(clipAngle),\\n -cos(clipAngle)\\n ) / screenShape;\\n\\n gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n worldPosition = position;\\n pixelArcLength = arcLength;\\n fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":335,glslify:276}],275:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var 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o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":274,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495}],276:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],277:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15];return t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],278:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,g=a*o,m=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-m,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=h+m,t[9]=p-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],283:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],284:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,g=a*c,m=o*s,v=o*l,y=o*c;return t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],285:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],286:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],287:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],288:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],289:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],291:[function(t,e,r){e.exports=function(t){return 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r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,M=u*m-h*d,A=u*v-p*d,S=f*m-h*g,E=f*v-p*g,C=h*v-p*m,L=y*C-x*E+b*S+_*A-w*M+T*k;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(i*E-n*C-a*S)*L,t[2]=(g*T-m*w+v*_)*L,t[3]=(h*w-f*T-p*_)*L,t[4]=(l*A-o*C-c*M)*L,t[5]=(r*C-i*A+a*M)*L,t[6]=(m*b-d*T-v*x)*L,t[7]=(u*T-h*b+p*x)*L,t[8]=(o*E-s*A+c*k)*L,t[9]=(n*A-r*E-a*k)*L,t[10]=(d*w-g*b+v*y)*L,t[11]=(f*b-u*w-p*y)*L,t[12]=(s*M-o*S-l*k)*L,t[13]=(r*S-n*M+i*k)*L,t[14]=(g*x-d*_-m*y)*L,t[15]=(u*_-f*x+h*y)*L,t}},{}],294:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":291}],295:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],296:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],297:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],298:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],299:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E=n[0],C=n[1],L=n[2],I=Math.sqrt(E*E+C*C+L*L);if(Math.abs(I)<1e-6)return null;E*=I=1/I,C*=I,L*=I,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=C*E*o+L*i,_=L*E*o-C*i,w=E*C*o-L*i,T=C*C*o+a,k=L*C*o+E*i,M=E*L*o+C*i,A=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*M+f*A+g*S,t[9]=l*M+h*A+m*S,t[10]=c*M+p*A+v*S,t[11]=u*M+d*A+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],300:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],301:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],302:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],303:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],304:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],305:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],306:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],307:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:78,\"polytope-closest-point/lib/closest_point_2d.js\":525}],308:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:310}],309:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function L(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function I(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*M(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,A)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];O=Math.min(O,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];O=Math.min(O,F),D=Math.max(D,F)}this.intensity=I||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],g.push(Z[0],Z[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(X[0],X[1],X[2],this.opacity*M((I[W]-O)/(D-O),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=A(t),s=S(t),l=E(t),c=C(t),f=L(t),h=I(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),M=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,M,P,R,z,O,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":307,\"./lib/shaders\":308,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-shader\":335,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,normals:498,\"simplicial-complex-contour\":556,\"typedarray-pool\":595}],310:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],311:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],312:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*k/A,t[w]=2*(T-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*f[0].length,P=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),z=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=C[1]*m/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,O,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=C[3]*m/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,O,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335}],313:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"gl-buffer\":259,\"gl-shader\":335}],314:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n vec2 delta = normalize(perp(start - end));\\n vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n float dataOffset = textCoordinate.z;\\n vec2 glyphOffset = textCoordinate.xy;\\n mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n glyphMatrix * glyphOffset * textScale + screenOffset;\\n gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:316}],315:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var A=2/h[2+(1^t)]-h[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t]&&T&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],k<M&&i[M]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[M]-i[k]))),y[t+2]&&T&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":314,\"binary-search-bounds\":96,\"gl-buffer\":259,\"gl-shader\":335,\"text-cache\":575}],316:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],317:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":311,\"./lib/grid\":312,\"./lib/line\":313,\"./lib/text\":315,\"gl-select-static\":334}],318:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(M,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,f*(Math.exp(A)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":441,\"mouse-change\":483,\"mouse-event-offset\":484,\"mouse-wheel\":486,\"right-now\":542}],319:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n uv = position;\\n gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":335,glslify:320}],320:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],321:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},M=i(r,k);M.enable=!k.disable;var A=t.spikes||{},S=o(r,A),E=[],C=[],L=[],I=[],P=!0,z=!0,O=new Array(16),D=new Array(16),R={view:null,projection:O,model:D,_ortho:!1},F=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:M,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,F);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},P=!0,z=!0)},N.add=function(t){N._stopped||(t.axes=M,E.push(t),C.push(-1),P=!0,z=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){M.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<I.length;++t)I[t].dispose();_.dispose(),r=null,M=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(z=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,P=P||t,z=z||t,M.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=N.pixelRatio,L.axes=N.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(z=z||v,P=P||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);M.autoTicks?M.update({bounds:d,tickSpacing:y}):M.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(L=E[o]).axesBounds=d,N.clipToBounds&&(L.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var A=!1;M.enable&&(A=A||M.isTransparent(),M.draw(R)),S.axes=M,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(L=E[o]).axes=M,L.pixelRatio=N.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(R),L.isTransparent&&L.isTransparent()&&(A=!0)}if(A){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),M.enable&&M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),M.isTransparent()&&M.drawTransparent(R);for(o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}P=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(P=!0,Y())},N},createCamera:n}},{\"./camera.js\":318,\"./lib/shader\":319,\"a-big-triangle\":64,\"gl-axes3d\":250,\"gl-axes3d/properties\":258,\"gl-fbo\":269,\"gl-mat4/ortho\":296,\"gl-mat4/perspective\":297,\"gl-select-static\":334,\"gl-spikes3d\":345,\"is-mobile\":467,\"mouse-change\":483}],322:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n highp float a = 12.9898;\\n highp float b = 78.233;\\n highp float c = 43758.5453;\\n highp float d = dot(co.xy, vec2(a, b));\\n highp float e = mod(d, 3.14);\\n return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n // if we don't jitter the point size a bit, overall point cloud\\n // saturation 'jumps' on zooming, which is disturbing and confusing\\n gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n if(pointCloud != 0.0) { // pointCloud is truthy\\n // get the same square surface as circle would be\\n gl_PointSize *= 0.886;\\n }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n float radius;\\n vec4 baseColor;\\n if(pointCloud != 0.0) { // pointCloud is truthy\\n if(centerFraction == 1.0) {\\n gl_FragColor = color;\\n } else {\\n gl_FragColor = mix(borderColor, color, centerFraction);\\n }\\n } else {\\n radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n gl_PointSize = pointSize;\\n\\n vec4 id = pickId + pickOffset;\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:323}],323:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],324:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":322,\"gl-buffer\":259,\"gl-shader\":335,\"typedarray-pool\":595}],325:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],326:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],327:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":600}],328:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":335,glslify:329}],329:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],330:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,C=0;C<16;++C)v[C]=0;for(C=0;C<4;++C)v[5*C]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var L=(m+1)%3,I=(m+2)%3,P=A(x),z=A(b);P[L]=1,z[I]=1;var O=p(0,0,0,S(_,P)),D=p(0,0,0,S(w,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=L;L=I,I=F}O[0]<0&&(P[L]=-1),D[1]>0&&(z[I]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*I+C],2);P[L]/=Math.sqrt(B),z[I]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function I(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&C(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){I(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){I(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*k.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),I=o.mallocUint32(S);if(S>0){var z=0,O=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)C[4*z+$]=D[$];I[z]=y;var tt=J[K[Q]];L[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)C[4*O+$]=R[$];I[O]=y;tt=J[K[Q]];L[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(I),o.free(E),o.free(C),o.free(L),o.free(I)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":326,\"./lib/glyphs\":327,\"./lib/shaders\":328,\"gl-buffer\":259,\"gl-mat4/multiply\":295,\"gl-vao\":358,\"is-string-blank\":470,\"typedarray-pool\":595}],331:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n gl_FragColor = color;\\n}\\n\"])},{glslify:332}],332:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],333:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var 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i=n.prototype;i.update=function(t){t=t||{},this.enable=(t.enable||[!0,!0,!1,!1]).slice(),this.width=(t.width||[1,1,1,1]).slice(),this.color=(t.color||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]).map((function(t){return t.slice()})),this.center=(t.center||[1/0,1/0]).slice(),this.plot.setOverlayDirty()},i.draw=function(){var t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],343:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],344:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n vec3 vertexPosition = mix(coordinates[0],\\n mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n vec2 delta = weight * clipOffset * screenShape;\\n vec2 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\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":335,glslify:343}],345:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":344,\"gl-buffer\":259,\"gl-vao\":358}],346:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n gl_Position = projection * view * tubePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:347}],347:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],348:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=h;h=p,p=A;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,M,A=a[0][d],S=a[0][v],E=a[1][g],C=a[1][y],L=a[2][m],I=(o-A)/(S-A),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,M=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,M=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,M=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,M=x*h*f;break;case 1:b=d,_=v,k=m*f,M=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,M=x*f*h}var O=i[b+w+k],D=i[b+w+M],R=i[b+T+k],F=i[b+T+M],B=i[_+w+k],N=i[_+w+M],j=i[_+T+k],U=i[_+T+M],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Y=n.create(),W=n.create();n.lerp(Y,V,H,P),n.lerp(W,q,G,P);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,M=k*k,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=g(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*i&&I.length<i&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-M>-1e-4*M){I.push(N),O=N,P.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}L=N}}var U=o(m,t.colormap,S,A);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*A/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":346,\"gl-cone3d\":260,\"gl-vec3\":377,\"gl-vec4\":413}],349:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 localCoordinate = vec3(uv.zw, f.x);\\n worldCoordinate = objectOffset + localCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n vec4 clipPosition = projection * view * worldPosition;\\n gl_Position = clipPosition;\\n kill = f.y;\\n value = f.z;\\n planeCoordinate = uv.xy;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * worldPosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n lightDirection = lightPosition - cameraCoordinate.xyz;\\n eyeDirection = eyePosition - cameraCoordinate.xyz;\\n surfaceNormal = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness) {\\n return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n if (\\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\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n worldCoordinate = objectOffset + dataCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n vec4 clipPosition = projection * view * worldPosition;\\n clipPosition.z += zOffset;\\n\\n gl_Position = clipPosition;\\n value = f + objectOffset.z;\\n kill = -1.0;\\n planeCoordinate = uv.zw;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Don't do lighting for contours\\n surfaceNormal = vec3(1,0,0);\\n eyeDirection = vec3(0,1,0);\\n lightDirection = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n float vh = 255.0 * v;\\n float upper = floor(vh);\\n float lower = fract(vh);\\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n if ((kill > 0.0) ||\\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":335,glslify:350}],350:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],351:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new A(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function A(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=A.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],C={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function L(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=C.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=C.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return C.showSurface=o,C.showContour=s,C}var I={model:w,view:w,projection:w,inverseModel:w.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},P=w.slice(),z=[1,0,0,0,1,0,0,0,1];function O(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=P;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=L(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return O.call(this,t,!1)},S.drawTransparent=function(t){return O.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=L(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),M=x.get(1,o,v,1),A=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-M*A,C=A*w-S*_,L=_*M-w*k,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),b.set(o,v,0,E*I),b.set(o,v,1,C*I),b.set(o,v,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),C=b.get(Y+1,W+1,1),L=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=C,N[j++]=L,P[0]=Math.min(P[0],X+this.objectOffset[0]),P[1]=Math.min(P[1],Z+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,J),z[0]=Math.max(z[0],X+this.objectOffset[0]),z[1]=Math.max(z[1],Z+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,M=+x[1],A=0|M,S=0|Math.min(A+1,i[1]),E=M-A,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*f.get(_,A)+I*f.get(_,S)+P*f.get(w,A)+z*f.get(w,S),D=L*p.get(_,A)+I*p.get(_,S)+P*p.get(w,A)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":349,\"binary-search-bounds\":96,\"bit-twiddle\":97,colormap:131,\"gl-buffer\":259,\"gl-mat4/invert\":293,\"gl-mat4/multiply\":295,\"gl-texture2d\":353,\"gl-vao\":358,ndarray:495,\"ndarray-gradient\":488,\"ndarray-ops\":490,\"ndarray-pack\":491,\"surface-nets\":570,\"typedarray-pool\":595}],352:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)k[A++]=t.position[2*M],k[A++]=t.position[2*M+1];else for(var C=0;C<S;C++)k[A++]=t.position[M][0],k[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var O=this.counts[P],D=this.font[P]||this.font[0],R=this.fontAtlas[P]||this.fontAtlas[0],F=0;F<O;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],I[2*z]=D.width[B],F){var j=I[2*z-2],U=I[2*z],V=I[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}I[2*z+1]=V}else I[2*z+1]=.5*I[2*z];z++}this.textWidth.push(I.length?.5*I[2*z-2]+I[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:I,type:\"float\",usage:\"stream\"}),u.freeUint8(L),u.freeFloat(I),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":97,\"color-normalize\":125,\"css-font\":144,\"detect-kerning\":172,\"es6-weak-map\":233,\"flatten-vertex-data\":244,\"font-atlas\":245,\"font-measure\":246,\"gl-util/context\":354,\"is-plain-obj\":469,\"object-assign\":499,\"parse-rect\":504,\"parse-unit\":506,\"pick-by-alias\":511,regl:540,\"to-px\":578,\"typedarray-pool\":595}],353:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var 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s=t.adjacent,l=0;l<=r;++l){var c=s[l];if(c.boundary&&!(c.lastVisited<=-n)){for(var u=c.vertices,f=0;f<=r;++f){var h=u[f];i[f]=h<0?e:a[h]}var p=this.orient();if(p>0)return c;c.lastVisited=-n,0===p&&o.push(c)}}}return null},u.walk=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,a=this.tuple,o=e?this.interior.length*Math.random()|0:this.interior.length-1,s=this.interior[o];t:for(;!s.boundary;){for(var l=s.vertices,c=s.adjacent,u=0;u<=n;++u)a[u]=i[l[u]];s.lastVisited=r;for(u=0;u<=n;++u){var f=c[u];if(!(f.lastVisited>=r)){var h=a[u];a[u]=t;var p=this.orient();if(a[u]=h,p<0){s=f;continue t}f.boundary?f.lastVisited=-r:f.lastVisited=r}}return}return s},u.addPeaks=function(t,e){var r=this.vertices.length-1,n=this.dimension,i=this.vertices,l=this.tuple,c=this.interior,u=this.simplices,f=[e];e.lastVisited=r,e.vertices[e.vertices.indexOf(-1)]=r,e.boundary=!1,c.push(e);for(var h=[];f.length>0;){var p=(e=f.pop()).vertices,d=e.adjacent,g=p.indexOf(r);if(!(g<0))for(var m=0;m<=n;++m)if(m!==g){var v=d[m];if(v.boundary&&!(v.lastVisited>=r)){var y=v.vertices;if(v.lastVisited!==-r){for(var x=0,b=0;b<=n;++b)y[b]<0?(x=b,l[b]=t):l[b]=i[y[b]];if(this.orient()>0){y[x]=r,v.boundary=!1,c.push(v),f.push(v),v.lastVisited=r;continue}v.lastVisited=-r}var _=v.adjacent,w=p.slice(),T=d.slice(),k=new a(w,T,!0);u.push(k);var M=_.indexOf(e);if(!(M<0)){_[M]=k,T[g]=v,w[m]=-1,T[m]=e,d[m]=k,k.flip();for(b=0;b<=n;++b){var A=w[b];if(!(A<0||A===r)){for(var S=new Array(n-1),E=0,C=0;C<=n;++C){var L=w[C];L<0||C===b||(S[E++]=L)}h.push(new o(S,k,b))}}}}}}h.sort(s);for(m=0;m+1<h.length;m+=2){var I=h[m],P=h[m+1],z=I.index,O=P.index;z<0||O<0||(I.cell.adjacent[I.index]=P.cell,P.cell.adjacent[P.index]=I.cell)}},u.insert=function(t,e){var r=this.vertices;r.push(t);var n=this.walk(t,e);if(n){for(var i=this.dimension,a=this.tuple,o=0;o<=i;++o){var s=n.vertices[o];a[o]=s<0?t:r[s]}var l=this.orient(a);l<0||(0!==l||(n=this.handleBoundaryDegeneracy(n,t)))&&this.addPeaks(t,n)}},u.boundary=function(){for(var t=this.dimension,e=[],r=this.simplices,n=r.length,i=0;i<n;++i){var a=r[i];if(a.boundary){for(var o=new Array(t),s=a.vertices,l=0,c=0,u=0;u<=t;++u)s[u]>=0?o[l++]=s[u]:c=1&u;if(c===(1&t)){var f=o[0];o[0]=o[1],o[1]=f}e.push(o)}}return e}},{\"robust-orientation\":548,\"simplicial-complex\":558}],460:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\");function i(t,e,r,n,i){this.mid=t,this.left=e,this.right=r,this.leftPoints=n,this.rightPoints=i,this.count=(e?e.count:0)+(r?r.count:0)+n.length}e.exports=function(t){if(!t||0===t.length)return new v(null);return new v(m(t))};var a=i.prototype;function o(t,e){t.mid=e.mid,t.left=e.left,t.right=e.right,t.leftPoints=e.leftPoints,t.rightPoints=e.rightPoints,t.count=e.count}function s(t,e){var r=m(e);t.mid=r.mid,t.left=r.left,t.right=r.right,t.leftPoints=r.leftPoints,t.rightPoints=r.rightPoints,t.count=r.count}function l(t,e){var r=t.intervals([]);r.push(e),s(t,r)}function c(t,e){var r=t.intervals([]),n=r.indexOf(e);return n<0?0:(r.splice(n,1),s(t,r),1)}function u(t,e,r){for(var n=0;n<t.length&&t[n][0]<=e;++n){var i=r(t[n]);if(i)return i}}function f(t,e,r){for(var n=t.length-1;n>=0&&t[n][1]>=e;--n){var i=r(t[n]);if(i)return i}}function h(t,e){for(var r=0;r<t.length;++r){var n=e(t[r]);if(n)return n}}function p(t,e){return t-e}function d(t,e){var r=t[0]-e[0];return r||t[1]-e[1]}function g(t,e){var r=t[1]-e[1];return r||t[0]-e[0]}function m(t){if(0===t.length)return null;for(var e=[],r=0;r<t.length;++r)e.push(t[r][0],t[r][1]);e.sort(p);var n=e[e.length>>1],a=[],o=[],s=[];for(r=0;r<t.length;++r){var l=t[r];l[1]<n?a.push(l):n<l[0]?o.push(l):s.push(l)}var c=s,u=s.slice();return c.sort(d),u.sort(g),new i(n,m(a),m(o),c,u)}function v(t){this.root=t}a.intervals=function(t){return 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this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":461}],461:[function(t,e,r){arguments[4][243][0].apply(r,arguments)},{dup:243}],462:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],463:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],464:[function(t,e,r){e.exports=!0},{}],465:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
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- " * @license MIT\n",
- " */\n",
- "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],466:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],467:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|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|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|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|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],468:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],469:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],470:[function(t,e,r){\"use strict\";e.exports=function(t){for(var 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n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return 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r={transparent:[0,0,0,0],aliceblue:[240,248,255,1],antiquewhite:[250,235,215,1],aqua:[0,255,255,1],aquamarine:[127,255,212,1],azure:[240,255,255,1],beige:[245,245,220,1],bisque:[255,228,196,1],black:[0,0,0,1],blanchedalmond:[255,235,205,1],blue:[0,0,255,1],blueviolet:[138,43,226,1],brown:[165,42,42,1],burlywood:[222,184,135,1],cadetblue:[95,158,160,1],chartreuse:[127,255,0,1],chocolate:[210,105,30,1],coral:[255,127,80,1],cornflowerblue:[100,149,237,1],cornsilk:[255,248,220,1],crimson:[220,20,60,1],cyan:[0,255,255,1],darkblue:[0,0,139,1],darkcyan:[0,139,139,1],darkgoldenrod:[184,134,11,1],darkgray:[169,169,169,1],darkgreen:[0,100,0,1],darkgrey:[169,169,169,1],darkkhaki:[189,183,107,1],darkmagenta:[139,0,139,1],darkolivegreen:[85,107,47,1],darkorange:[255,140,0,1],darkorchid:[153,50,204,1],darkred:[139,0,0,1],darksalmon:[233,150,122,1],darkseagreen:[143,188,143,1],darkslateblue:[72,61,139,1],darkslategray:[47,79,79,1],darkslategrey:[47,79,79,1],darkturquoise:[0,206,209,1],darkviolet:[148,0,211,1],deeppink:[255,20,147,1],deepskyblue:[0,191,255,1],dimgray:[105,105,105,1],dimgrey:[105,105,105,1],dodgerblue:[30,144,255,1],firebrick:[178,34,34,1],floralwhite:[255,250,240,1],forestgreen:[34,139,34,1],fuchsia:[255,0,255,1],gainsboro:[220,220,220,1],ghostwhite:[248,248,255,1],gold:[255,215,0,1],goldenrod:[218,165,32,1],gray:[128,128,128,1],green:[0,128,0,1],greenyellow:[173,255,47,1],grey:[128,128,128,1],honeydew:[240,255,240,1],hotpink:[255,105,180,1],indianred:[205,92,92,1],indigo:[75,0,130,1],ivory:[255,255,240,1],khaki:[240,230,140,1],lavender:[230,230,250,1],lavenderblush:[255,240,245,1],lawngreen:[124,252,0,1],lemonchiffon:[255,250,205,1],lightblue:[173,216,230,1],lightcoral:[240,128,128,1],lightcyan:[224,255,255,1],lightgoldenrodyellow:[250,250,210,1],lightgray:[211,211,211,1],lightgreen:[144,238,144,1],lightgrey:[211,211,211,1],lightpink:[255,182,193,1],lightsalmon:[255,160,122,1],lightseagreen:[32,178,170,1],lightskyblue:[135,206,250,1],lightslategray:[119,136,153,1],lightslategrey:[119,136,153,1],lightsteelblue:[176,196,222,1],lightyellow:[255,255,224,1],lime:[0,255,0,1],limegreen:[50,205,50,1],linen:[250,240,230,1],magenta:[255,0,255,1],maroon:[128,0,0,1],mediumaquamarine:[102,205,170,1],mediumblue:[0,0,205,1],mediumorchid:[186,85,211,1],mediumpurple:[147,112,219,1],mediumseagreen:[60,179,113,1],mediumslateblue:[123,104,238,1],mediumspringgreen:[0,250,154,1],mediumturquoise:[72,209,204,1],mediumvioletred:[199,21,133,1],midnightblue:[25,25,112,1],mintcream:[245,255,250,1],mistyrose:[255,228,225,1],moccasin:[255,228,181,1],navajowhite:[255,222,173,1],navy:[0,0,128,1],oldlace:[253,245,230,1],olive:[128,128,0,1],olivedrab:[107,142,35,1],orange:[255,165,0,1],orangered:[255,69,0,1],orchid:[218,112,214,1],palegoldenrod:[238,232,170,1],palegreen:[152,251,152,1],paleturquoise:[175,238,238,1],palevioletred:[219,112,147,1],papayawhip:[255,239,213,1],peachpuff:[255,218,185,1],peru:[205,133,63,1],pink:[255,192,203,1],plum:[221,160,221,1],powderblue:[176,224,230,1],purple:[128,0,128,1],rebeccapurple:[102,51,153,1],red:[255,0,0,1],rosybrown:[188,143,143,1],royalblue:[65,105,225,1],saddlebrown:[139,69,19,1],salmon:[250,128,114,1],sandybrown:[244,164,96,1],seagreen:[46,139,87,1],seashell:[255,245,238,1],sienna:[160,82,45,1],silver:[192,192,192,1],skyblue:[135,206,235,1],slateblue:[106,90,205,1],slategray:[112,128,144,1],slategrey:[112,128,144,1],snow:[255,250,250,1],springgreen:[0,255,127,1],steelblue:[70,130,180,1],tan:[210,180,140,1],teal:[0,128,128,1],thistle:[216,191,216,1],tomato:[255,99,71,1],turquoise:[64,224,208,1],violet:[238,130,238,1],wheat:[245,222,179,1],white:[255,255,255,1],whitesmoke:[245,245,245,1],yellow:[255,255,0,1],yellowgreen:[154,205,50,1]};function n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return n(\"%\"===t[t.length-1]?parseFloat(t)/100*255:parseInt(t))}function a(t){return(e=\"%\"===t[t.length-1]?parseFloat(t)/100:parseFloat(t))<0?0:e>1?1:e;var e}function o(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,s=t.replace(/ /g,\"\").toLowerCase();if(s in r)return r[s].slice();if(\"#\"===s[0])return 4===s.length?(e=parseInt(s.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===s.length&&(e=parseInt(s.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=s.indexOf(\"(\"),c=s.indexOf(\")\");if(-1!==l&&c+1===s.length){var u=s.substr(0,l),f=s.substr(l+1,c-(l+1)).split(\",\"),h=1;switch(u){case\"rgba\":if(4!==f.length)return null;h=a(f.pop());case\"rgb\":return 3!==f.length?null:[i(f[0]),i(f[1]),i(f[2]),h];case\"hsla\":if(4!==f.length)return 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Qt=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};Qt.prototype.compare=function(t,e){return this.collator.compare(t,e)},Qt.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var $t=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},te=function(t){this.sections=t};te.fromString=function(t){return new te([new $t(t,null,null,null,null)])},te.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},te.factory=function(t){return t instanceof te?t:te.fromString(t)},te.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},te.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ee=function(t){this.name=t.name,this.available=t.available};function re(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function ne(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof Kt)return!0;if(t instanceof Qt)return!0;if(t instanceof te)return!0;if(t instanceof ee)return!0;if(Array.isArray(t)){for(var e=0,r=t;e<r.length;e+=1)if(!ne(r[e]))return!1;return!0}if(\"object\"==typeof t){for(var n in t)if(!ne(t[n]))return!1;return!0}return!1}function ie(t){if(null===t)return Ot;if(\"string\"==typeof t)return Rt;if(\"boolean\"==typeof t)return Ft;if(\"number\"==typeof t)return Dt;if(t instanceof Kt)return Bt;if(t instanceof Qt)return Ut;if(t instanceof te)return Vt;if(t instanceof ee)return qt;if(Array.isArray(t)){for(var e,r=t.length,n=0,i=t;n<i.length;n+=1){var a=ie(i[n]);if(e){if(e===a)continue;e=jt;break}e=a}return Ht(e||jt,r)}return Nt}function ae(t){var e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Kt||t instanceof te||t instanceof ee?t.toString():JSON.stringify(t)}ee.prototype.toString=function(){return this.name},ee.fromString=function(t){return t?new ee({name:t,available:!1}):null},ee.prototype.serialize=function(){return[\"image\",this.name]};var oe=function(t,e){this.type=t,this.value=e};oe.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!ne(t[1]))return e.error(\"invalid value\");var r=t[1],n=ie(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new oe(n,r)},oe.prototype.evaluate=function(){return this.value},oe.prototype.eachChild=function(){},oe.prototype.outputDefined=function(){return!0},oe.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof Kt?[\"rgba\"].concat(this.value.toArray()):this.value instanceof te?this.value.serialize():this.value};var se=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};se.prototype.toJSON=function(){return this.message};var le={string:Rt,number:Dt,boolean:Ft,object:Nt},ce=function(t,e){this.type=t,this.args=e};ce.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in le)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=le[s],n++}else a=jt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=Ht(a,o)}else r=le[i];for(var l=[];n<t.length;n++){var c=e.parse(t[n],n,jt);if(!c)return null;l.push(c)}return new ce(r,l)},ce.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!Wt(this.type,ie(r)))return r;if(e===this.args.length-1)throw new se(\"Expected value to be of type \"+Gt(this.type)+\", but found \"+Gt(ie(r))+\" instead.\")}return null},ce.prototype.eachChild=function(t){this.args.forEach(t)},ce.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ce.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var ue=function(t){this.type=Vt,this.sections=t};ue.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Dt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Ht(Rt))))return null;var c=null;if(o[\"text-color\"]&&!(c=e.parse(o[\"text-color\"],1,Bt)))return null;var u=n[n.length-1];u.scale=s,u.font=l,u.textColor=c}else{var f=e.parse(t[a],1,jt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new ue(n)},ue.prototype.evaluate=function(t){return new te(this.sections.map((function(e){var r=e.content.evaluate(t);return ie(r)===qt?new $t(\"\",r,null,null,null):new $t(ae(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},ue.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},ue.prototype.outputDefined=function(){return!1},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var fe=function(t){this.type=qt,this.input=t};fe.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Rt);return r?new fe(r):e.error(\"No image name provided.\")},fe.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ee.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},fe.prototype.eachChild=function(t){t(this.input)},fe.prototype.outputDefined=function(){return!1},fe.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var he={\"to-boolean\":Ft,\"to-color\":Bt,\"to-number\":Dt,\"to-string\":Rt},pe=function(t,e){this.type=t,this.args=e};pe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[0];if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");for(var n=he[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,jt);if(!o)return null;i.push(o)}return new pe(n,i)},pe.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof Kt)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":re(e[0],e[1],e[2],e[3])))return new Kt(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new se(r||\"Could not parse color from value '\"+(\"string\"==typeof e?e:String(JSON.stringify(e)))+\"'\")}if(\"number\"===this.type.kind){for(var o=null,s=0,l=this.args;s<l.length;s+=1){if(null===(o=l[s].evaluate(t)))return 0;var c=Number(o);if(!isNaN(c))return c}throw new se(\"Could not convert \"+JSON.stringify(o)+\" to number.\")}return\"formatted\"===this.type.kind?te.fromString(ae(this.args[0].evaluate(t))):\"resolvedImage\"===this.type.kind?ee.fromString(ae(this.args[0].evaluate(t))):ae(this.args[0].evaluate(t))},pe.prototype.eachChild=function(t){this.args.forEach(t)},pe.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},pe.prototype.serialize=function(){if(\"formatted\"===this.type.kind)return new ue([{content:this.args[0],scale:null,font:null,textColor:null}]).serialize();if(\"resolvedImage\"===this.type.kind)return new fe(this.args[0]).serialize();var t=[\"to-\"+this.type.kind];return this.eachChild((function(e){t.push(e.serialize())})),t};var de=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],ge=function(){this.globals=null,this.feature=null,this.featureState=null,this.formattedSection=null,this._parseColorCache={},this.availableImages=null,this.canonical=null};ge.prototype.id=function(){return this.feature&&\"id\"in this.feature?this.feature.id:null},ge.prototype.geometryType=function(){return this.feature?\"number\"==typeof this.feature.type?de[this.feature.type]:this.feature.type:null},ge.prototype.geometry=function(){return this.feature&&\"geometry\"in this.feature?this.feature.geometry:null},ge.prototype.canonicalID=function(){return this.canonical},ge.prototype.properties=function(){return this.feature&&this.feature.properties||{}},ge.prototype.parseColor=function(t){var e=this._parseColorCache[t];return e||(e=this._parseColorCache[t]=Kt.parse(t)),e};var me=function(t,e,r,n){this.name=t,this.type=e,this._evaluate=r,this.args=n};me.prototype.evaluate=function(t){return 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a=Ne(e,n),o=rr.interpolationFactor(this.interpolation,n,e[a],e[a+1]),s=r[a].evaluate(t),l=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ve[this.type.kind.toLowerCase()](s,l,o):\"interpolate-hcl\"===this.operator?tr.reverse(tr.interpolate(tr.forward(s),tr.forward(l),o)):$e.reverse($e.interpolate($e.forward(s),$e.forward(l),o))},rr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},rr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},rr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var ir=function(t,e){this.type=t,this.args=e};ir.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=e.parse(o[a],1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!s)return null;r=r||s.type,i.push(s)}var l=n&&i.some((function(t){return Wt(n,t.type)}));return new ir(l?jt:r,i)},ir.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ee&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},ir.prototype.eachChild=function(t){this.args.forEach(t)},ir.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ir.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};ar.prototype.evaluate=function(t){return this.result.evaluate(t)},ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new ar(r,o):null},ar.prototype.outputDefined=function(){return this.result.outputDefined()},ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e];t.push(n[0],n[1].serialize())}return t.push(this.result.serialize()),t};var or=function(t,e,r){this.type=t,this.index=e,this.input=r};or.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Dt),n=e.parse(t[2],2,Ht(e.expectedType||jt));return r&&n?new or(n.type.itemType,r,n):null},or.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new se(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new se(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new se(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},or.prototype.eachChild=function(t){t(this.index),t(this.input)},or.prototype.outputDefined=function(){return!1},or.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var sr=function(t,e){this.type=Ft,this.needle=t,this.haystack=e};sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);return r&&n?Xt(r.type,[Ft,Rt,Dt,Ot,jt])?new sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\"):null},sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ie(e))+\" instead.\");if(!Zt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ie(r))+\" instead.\");return r.indexOf(e)>=0},sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},sr.prototype.outputDefined=function(){return!0},sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var lr=function(t,e,r){this.type=Dt,this.needle=t,this.haystack=e,this.fromIndex=r};lr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,jt),n=e.parse(t[2],2,jt);if(!r||!n)return null;if(!Xt(r.type,[Ft,Rt,Dt,Ot,jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Dt);return i?new lr(r,n,i):null}return new lr(r,n)},lr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Zt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new se(\"Expected first argument to be of type boolean, string, number or null, but found \"+Gt(ie(e))+\" instead.\");if(!Zt(r,[\"string\",\"array\"]))throw new se(\"Expected second argument to be of type array or string, but found \"+Gt(ie(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},lr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},lr.prototype.outputDefined=function(){return!1},lr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");var r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);for(var i={},a=[],o=2;o<t.length-1;o+=2){var s=t[o],l=t[o+1];Array.isArray(s)||(s=[s]);var 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e=this.input.evaluate(t);return(ie(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},cr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},cr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},cr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];e.push(1===h.length?s(h[0]):h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var ur=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};ur.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 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fr=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function hr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function pr(t,e,r,n){return 0===n.compare(e,r)}function dr(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Ft,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,jt);if(!a)return null;if(!hr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type '\"+Gt(a.type)+\"'.\");var o=e.parse(t[2],2,jt);if(!o)return null;if(!hr(r,o.type))return e.concat(2).error('\"'+r+\"\\\" comparisons are not supported for type 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0,o={}),e=e.concat(Xr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Jr,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Vr(It(a[1]))?e.concat([new St(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(bn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=zr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new St(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new St(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return Lr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new St(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new St(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new St(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new St(t.key,c,\"integer expected, found \"+l)]}}function Qr(t){var e=(\"property\"===t.expressionContext?Yr:qr)(It(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new St(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new St(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". 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en={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function rn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};tn(t)||(t=an(t));var e=qr(t,en);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function nn(t,e){return t<e?-1:t>e?1:0}function an(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?on(t[1],t[2],\"==\"):\"!=\"===r?cn(on(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?on(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(an))):\"all\"===r?[\"all\"].concat(t.slice(1).map(an)):\"none\"===r?[\"all\"].concat(t.slice(1).map(an).map(cn)):\"in\"===r?sn(t[1],t.slice(2)):\"!in\"===r?cn(sn(t[1],t.slice(2))):\"has\"===r?ln(t[1]):\"!has\"===r?cn(ln(t[1])):\"within\"!==r||t}function on(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(nn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function ln(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function cn(t){return[\"!\",t]}function un(t){return tn(It(t.value))?Qr(Ct({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==zr(r))return[new St(n,r,\"array expected, \"+zr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new St(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat($r({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Lt(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Lt(r[1])&&o.push(new St(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new St(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=zr(r[1]))&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+i+\" found\"));for(var s=2;s<r.length;s++)i=zr(r[s]),\"$type\"===Lt(r[1])?o=o.concat($r({key:n+\"[\"+s+\"]\",value:r[s],valueSpec:a.geometry_type,style:e.style,styleSpec:e.styleSpec})):\"string\"!==i&&\"number\"!==i&&\"boolean\"!==i&&o.push(new St(n+\"[\"+s+\"]\",r[s],\"string, number, or boolean expected, \"+i+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==i&&o.push(new St(n+\"[1]\",r[1],\"string expected, \"+i+\" found\"));break;case\"within\":i=zr(r[1]),2!==r.length?o.push(new St(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"object\"!==i&&o.push(new St(n+\"[1]\",r[1],\"object expected, \"+i+\" found\"))}return o}(t)}function fn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new St(r,a,'unknown property \"'+o+'\"')];if(\"string\"===zr(a)&&Lr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new St(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new St(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Or(It(a))&&\"identity\"===Lt(a.type)&&f.push(new St(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Lt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new St(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new St(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new St(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new St(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new St(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new St(n,r,'missing required property \"source\"'));return e=e.concat(Xr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return bn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:un,layout:function(t){return Xr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return pn(Ct({layerType:s},t))}}})},paint:function(t){return Xr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return hn(Ct({layerType:s},t))}}})}}}))}function gn(t){var e=t.value,r=t.key,n=zr(e);return\"string\"!==n?[new St(r,e,\"string expected, \"+n+\" found\")]:[]}var mn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===zr(r))return gn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,gn({key:e+\".\"+i,value:r[i]}));return n}};function vn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new St(r,e,'\"type\" is required')];var a,o=Lt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return Xr({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:mn});case\"geojson\":if(a=Xr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:mn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,Qr({key:r+\".\"+s+\".map\",value:l[1],expressionContext:\"cluster-map\"})),a.push.apply(a,Qr({key:r+\".\"+s+\".reduce\",value:u,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return Xr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return Xr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new St(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return $r({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function yn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=zr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new St(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=a.concat(l&&n[l[1]]&&n[l[1]].transition?bn({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r}):n[s]?bn({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r}):[new St(s,e[s],'unknown property \"'+s+'\"')])}return a}var xn={\"*\":function(){return[]},array:Zr,boolean:function(t){var e=t.value,r=t.key,n=zr(e);return\"boolean\"!==n?[new St(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:Jr,color:function(t){var e=t.key,r=t.value,n=zr(r);return\"string\"!==n?[new St(e,r,\"color expected, \"+n+\" 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r=r.concat(bn({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:_n,\"*\":function(){return[]}}})),t.constants&&(r=r.concat(Et({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),Tn(r)}function Tn(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function kn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Tn(t.apply(this,e))}}wn.source=kn(vn),wn.light=kn(yn),wn.layer=kn(dn),wn.filter=kn(un),wn.paintProperty=kn(hn),wn.layoutProperty=kn(pn);var Mn=wn,An=Mn.light,Sn=Mn.paintProperty,En=Mn.layoutProperty;function Cn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1)t.fire(new kt(new Error(i[n].message))),r=!0;return r}var Ln=In;function In(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],this.d=(e=i[1])+2*(r=i[2]);for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length+1];this.keys=i.subarray(i[3+n.length],l),this.bboxes=i.subarray(l),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var u=r/e*t;this.min=-u,this.max=t+u}In.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},In.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},In.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},In.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},In.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[h]=!0,a.push(c[h])):o[h]=!1}}},In.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},In.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},In.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},In.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),i[3+t.length+1]=a+=this.keys.length,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Pn=self.ImageData,zn=self.ImageBitmap,On={};function Dn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),On[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var Rn in Dn(\"Object\",Object),Ln.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Ln.deserialize=function(t){return new Ln(t.buffer)},Dn(\"Grid\",Ln),Dn(\"Color\",Kt),Dn(\"Error\",Error),Dn(\"ResolvedImage\",ee),Dn(\"StylePropertyFunction\",Wr),Dn(\"StyleExpression\",Ur,{omit:[\"_evaluator\"]}),Dn(\"ZoomDependentExpression\",Gr),Dn(\"ZoomConstantExpression\",Hr),Dn(\"CompoundExpression\",me,{omit:[\"_evaluate\"]}),Tr)Tr[Rn]._classRegistryKey||Dn(\"Expression_\"+Rn,Tr[Rn]);function Fn(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function Bn(t){return zn&&t instanceof zn}function Nn(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(Fn(t)||Bn(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Pn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1)n.push(Nn(a[i],e));return n}if(\"object\"==typeof t){var o=t.constructor,s=o._classRegistryKey;if(!s)throw new Error(\"can't serialize object of unregistered class\");var l=o.serialize?o.serialize(t,e):{};if(!o.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(On[s].omit.indexOf(c)>=0)){var u=t[c];l[c]=On[s].shallow.indexOf(c)>=0?u:Nn(u,e)}t instanceof Error&&(l.message=t.message)}if(l.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==s&&(l.$name=s),l}throw new Error(\"can't serialize object of type \"+typeof t)}function jn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||Fn(t)||Bn(t)||ArrayBuffer.isView(t)||t instanceof Pn)return t;if(Array.isArray(t))return t.map(jn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=On[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i<a.length;i+=1){var o=a[i];if(\"$name\"!==o){var s=t[o];n[o]=On[e].shallow.indexOf(o)>=0?s:jn(s)}}return n}throw new Error(\"can't deserialize object of type \"+typeof t)}var Un=function(){this.first=!0};Un.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom<r&&(this.lastIntegerZoom=r,this.lastIntegerZoomTime=e),t!==this.lastZoom&&(this.lastZoom=t,this.lastFloorZoom=r,!0))};var Vn={\"Latin-1 Supplement\":function(t){return t>=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},\"Arabic Supplement\":function(t){return t>=1872&&t<=1919},\"Arabic Extended-A\":function(t){return t>=2208&&t<=2303},\"Hangul Jamo\":function(t){return t>=4352&&t<=4607},\"Unified Canadian Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description Characters\":function(t){return t>=12272&&t<=12287},\"CJK Symbols and Punctuation\":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},\"Hangul Compatibility Jamo\":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},\"Bopomofo Extended\":function(t){return t>=12704&&t<=12735},\"CJK Strokes\":function(t){return t>=12736&&t<=12783},\"Katakana Phonetic Extensions\":function(t){return t>=12784&&t<=12799},\"Enclosed CJK Letters and Months\":function(t){return t>=12800&&t<=13055},\"CJK Compatibility\":function(t){return t>=13056&&t<=13311},\"CJK Unified Ideographs Extension A\":function(t){return t>=13312&&t<=19903},\"Yijing Hexagram Symbols\":function(t){return t>=19904&&t<=19967},\"CJK Unified Ideographs\":function(t){return t>=19968&&t<=40959},\"Yi Syllables\":function(t){return t>=40960&&t<=42127},\"Yi Radicals\":function(t){return t>=42128&&t<=42191},\"Hangul Jamo Extended-A\":function(t){return t>=43360&&t<=43391},\"Hangul Syllables\":function(t){return t>=44032&&t<=55215},\"Hangul Jamo Extended-B\":function(t){return t>=55216&&t<=55295},\"Private Use Area\":function(t){return t>=57344&&t<=63743},\"CJK Compatibility Ideographs\":function(t){return t>=63744&&t<=64255},\"Arabic Presentation Forms-A\":function(t){return t>=64336&&t<=65023},\"Vertical Forms\":function(t){return t>=65040&&t<=65055},\"CJK Compatibility Forms\":function(t){return t>=65072&&t<=65103},\"Small Form Variants\":function(t){return t>=65104&&t<=65135},\"Arabic Presentation Forms-B\":function(t){return t>=65136&&t<=65279},\"Halfwidth and Fullwidth Forms\":function(t){return t>=65280&&t<=65519}};function qn(t){for(var e=0,r=t;e<r.length;e+=1)if(Hn(r[e].charCodeAt(0)))return!0;return!1}function Hn(t){return!(746!==t&&747!==t&&(t<4352||!(Vn[\"Bopomofo Extended\"](t)||Vn.Bopomofo(t)||Vn[\"CJK Compatibility 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0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},ii.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var ai=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(Or(t))return new Wr(t,e);if(Vr(t)){var r=Yr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=Kt.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};ai.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},ai.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var oi=function(t){this.property=t,this.value=new ai(t,void 0)};oi.prototype.transitioned=function(t,e){return new li(this.property,this.value,e,u({},t.transition,this.transition),t.now)},oi.prototype.untransitioned=function(){return new li(this.property,this.value,null,{},0)};var si=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};si.prototype.getValue=function(t){return x(this._values[t].value.value)},si.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].value=new ai(this._values[t].property,null===e?void 0:x(e))},si.prototype.getTransition=function(t){return x(this._values[t].transition)},si.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new oi(this._values[t].property)),this._values[t].transition=x(e)||void 0},si.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},si.prototype.transitioned=function(t,e){for(var r=new ci(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},si.prototype.untransitioned=function(){for(var t=new ci(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var li=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};li.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};ci.prototype.possiblyEvaluate=function(t,e,r){for(var n=new hi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},ci.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1)if(this._values[e[t]].prior)return!0;return!1};var ui=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ui.prototype.getValue=function(t){return x(this._values[t].value)},ui.prototype.setValue=function(t,e){this._values[t]=new ai(this._values[t].property,null===e?void 0:x(e))},ui.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ui.prototype.possiblyEvaluate=function(t,e,r){for(var n=new hi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var fi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};fi.prototype.isConstant=function(){return\"constant\"===this.value.kind},fi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},fi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var hi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};hi.prototype.get=function(t){return this._values[t]};var pi=function(t){this.specification=t};pi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},pi.prototype.interpolate=function(t,e,r){var n=Ve[this.specification.type];return n?n(t,e,r):t};var di=function(t,e){this.specification=t,this.overrides=e};di.prototype.possiblyEvaluate=function(t,e,r,n){return new fi(this,\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)}:t.expression,e)},di.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new fi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ve[this.specification.type];return n?new fi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},di.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new fi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new fi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new fi(this,{kind:\"constant\",value:s},e)}return new fi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(di),mi=function(t){this.specification=t};mi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new ii(Math.floor(e.zoom-1),e)),t.expression.evaluate(new ii(Math.floor(e.zoom),e)),t.expression.evaluate(new ii(Math.floor(e.zoom+1),e)),e)}},mi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},mi.prototype.interpolate=function(t){return t};var vi=function(t){this.specification=t};vi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},vi.prototype.interpolate=function(){return!1};var yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new ai(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new oi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Dn(\"DataDrivenProperty\",di),Dn(\"DataConstantProperty\",pi),Dn(\"CrossFadedDataDrivenProperty\",gi),Dn(\"CrossFadedProperty\",mi),Dn(\"ColorRampProperty\",vi);var xi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=(e=e).metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ui(r.layout)),r.paint)){for(var n in this._transitionablePaint=new si(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new hi(r.paint)}}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){void 0===r&&(r={}),null!=e&&this._validate(En,\"layers.\"+this.id+\".layout.\"+t,t,e,r)||(\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e)},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e&&this._validate(Sn,\"layers.\"+this.id+\".paint.\"+t,t,e,r))return!1;if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var n=this._transitionablePaint._values[t],i=\"cross-faded-data-driven\"===n.property.specification[\"property-type\"],a=n.value.isDataDriven(),o=n.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var s=this._transitionablePaint._values[t].value;return s.isDataDriven()||a||i||this._handleOverridablePaintPropertyUpdate(t,o,s)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Cn(this,t.call(Mn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:At,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof fi&&Lr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Mt),bi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},_i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},wi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ti(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i=bi[t.type].BYTES_PER_ELEMENT,a=r=ki(r,Math.max(e,i)),o=t.components||1;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ki(r,Math.max(n,e)),alignment:e}}function ki(t,e){return Math.ceil(t/e)*e}wi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},wi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},wi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},wi.prototype.clear=function(){this.length=0},wi.prototype.resize=function(t){this.reserve(t),this.length=t},wi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},wi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(wi);Mi.prototype.bytesPerElement=4,Dn(\"StructArrayLayout2i4\",Mi);var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(wi);Ai.prototype.bytesPerElement=8,Dn(\"StructArrayLayout4i8\",Ai);var Si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(wi);Si.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i4i12\",Si);var Ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(wi);Ei.prototype.bytesPerElement=8,Dn(\"StructArrayLayout2i4ub8\",Ei);var Ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(wi);Ci.prototype.bytesPerElement=18,Dn(\"StructArrayLayout8ui2ub18\",Ci);var Li=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(wi);Li.prototype.bytesPerElement=24,Dn(\"StructArrayLayout4i4ui4i24\",Li);var Ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(wi);Ii.prototype.bytesPerElement=12,Dn(\"StructArrayLayout3f12\",Ii);var Pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.uint32[1*t+0]=e,t},e}(wi);Pi.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1ul4\",Pi);var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(wi);zi.prototype.bytesPerElement=20,Dn(\"StructArrayLayout6i1ul2ui20\",zi);var Oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(wi);Oi.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2i2i2i12\",Oi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(wi);Di.prototype.bytesPerElement=16,Dn(\"StructArrayLayout2f1f2i16\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(wi);Ri.prototype.bytesPerElement=12,Dn(\"StructArrayLayout2ub2f12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(wi);Fi.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3ui6\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(wi);Bi.prototype.bytesPerElement=48,Dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,M,A,S,E){var C=34*t,L=17*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=f,this.uint16[C+11]=h,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=g,this.uint16[C+15]=m,this.uint16[C+16]=v,this.uint16[C+17]=y,this.uint16[C+18]=x,this.uint16[C+19]=b,this.uint16[C+20]=_,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=M,this.float32[L+14]=A,this.float32[L+15]=S,this.float32[L+16]=E,t},e}(wi);Ni.prototype.bytesPerElement=68,Dn(\"StructArrayLayout8i15ui1ul4f68\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){return this.float32[1*t+0]=e,t},e}(wi);ji.prototype.bytesPerElement=4,Dn(\"StructArrayLayout1f4\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(wi);Ui.prototype.bytesPerElement=6,Dn(\"StructArrayLayout3i6\",Ui);var 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a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Sa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Sa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ea=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ea.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new ii(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new ii(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ea.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ea.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=ka(r),a=ka(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ea.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ea.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ea.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ea.prototype.getBinding=function(t,e,r){return new va(t,e)};var Ca=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Ca.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Ca.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Ca.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=n[r.min],a=n[r.mid],o=n[r.max];if(i&&a&&o)for(var s=t;s<e;s++)this.zoomInPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],i.tl[0],i.tl[1],i.br[0],i.br[1],a.pixelRatio,i.pixelRatio),this.zoomOutPaintVertexArray.emplace(s,a.tl[0],a.tl[1],a.br[0],a.br[1],o.tl[0],o.tl[1],o.br[0],o.br[1],a.pixelRatio,o.pixelRatio)}},Ca.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,oa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,oa.members,this.expression.isStateDependent))},Ca.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var La=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof fi&&Lr(o.property.specification)){var s=Pa(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Aa(l.value,s):new Ma(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=za(a,c,\"source\");this.binders[a]=h?new Ca(l,c,u,e,p,t.id):new Sa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=za(a,c,\"composite\");this.binders[a]=new Ea(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};La.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Sa||e instanceof Ea?e.maxValue:0},La.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Sa||o instanceof Ea||o instanceof Ca)&&o.populatePaintArray(t,e,r,n,i)}},La.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Aa&&n.setConstantPatternPositions(t,e)}},La.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Sa||h instanceof Ea||h instanceof Ca)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},La.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Ma||r instanceof Aa)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},La.prototype.getPaintVertexBuffers=function(){return this._buffers},La.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Ma||i instanceof Aa||i instanceof Ea)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},La.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property;this.binders[l].setUniform(o.binding,n,r.get(l),s)}},La.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Ca){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Sa||r instanceof Ea)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},La.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Sa||r instanceof Ea||r instanceof Ca)&&r.upload(t)}this.updatePaintBuffers()},La.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Sa||e instanceof Ea||e instanceof Ca)&&e.destroy()}};var Ia=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new La(o,r,n,t)}this.needsUpload=!1,this._featureMap=new fa,this._bufferOffset=0};function Pa(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function za(t,e,r){var n={color:{source:Gi,composite:Yi},number:{source:ji,composite:Gi}},i=function(t){return{\"line-pattern\":{source:Ci,composite:Ci},\"fill-pattern\":{source:Ci,composite:Ci},\"fill-extrusion-pattern\":{source:Ci,composite:Ci}}[t]}(t);return i&&i[r]||n[e][r]}Ia.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ia.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ia.prototype.get=function(t){return this.programConfigurations[t]},Ia.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ia.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Dn(\"ConstantBinder\",Ma),Dn(\"CrossFadedConstantBinder\",Aa),Dn(\"SourceExpressionBinder\",Sa),Dn(\"CrossFadedCompositeBinder\",Ca),Dn(\"CompositeExpressionBinder\",Ea),Dn(\"ProgramConfiguration\",La,{omit:[\"_buffers\"]}),Dn(\"ProgramConfigurationSet\",Ia);var Oa={min:-1*Math.pow(2,14),max:Math.pow(2,14)-1};function Da(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Oa.min||o.x>Oa.max||o.y<Oa.min||o.y>Oa.max)&&(_(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=l(o.x,Oa.min,Oa.max),o.y=l(o.y,Oa.min,Oa.max))}return r}function Ra(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Fa=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Mi,this.indexArray=new Fi,this.segments=new ia,this.programConfigurations=new Ia(na,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ba(t,e){for(var r=0;r<t.length;r++)if(Wa(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Wa(t,e[n]))return!0;return!!Va(t,e)}function Na(t,e,r){return!!Wa(t,e)||!!Ha(e,t,r)}function ja(t,e){if(1===t.length)return Ya(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Wa(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ya(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(Va(t,e[o]))return!0;return!1}function Ua(t,e,r){if(t.length>1){if(Va(t,e))return!0;for(var n=0;n<e.length;n++)if(Ha(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(Ha(t[i],e,r))return!0;return!1}function Va(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++)if(qa(n,i,e[a],e[a+1]))return!0;return!1}function qa(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function Ha(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++)if(Ga(t,e[i-1],e[i])<n)return!0;return!1}function Ga(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return t.distSqr(i<0?e:i>1?r:r.sub(e)._mult(i)._add(e))}function Ya(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)(n=r[s]).y>e.y!=(i=r[l]).y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function Wa(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function Xa(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function Za(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function Ja(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function Ka(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++)s.push(t[l].sub(o));return s}Fa.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Da(c):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),d,r)){p||(d.geometry=Da(c));var g=a?a.evaluate(d,{},r):void 0;i.push({id:u,properties:c.properties,type:c.type,sourceLayerIndex:h,index:f,geometry:d.geometry,patterns:{},sortKey:g})}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y.geometry,b=y.index,_=y.sourceLayerIndex,w=t[b].feature;this.addFeature(y,x,b,r),e.featureIndex.insert(w,x,b,_,this.index)}},Fa.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Fa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Fa.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Fa.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,na),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Fa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Fa.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=f.vertexLength;Ra(this.layoutVertexArray,c,u,-1,-1),Ra(this.layoutVertexArray,c,u,1,-1),Ra(this.layoutVertexArray,c,u,1,1),Ra(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),f.vertexLength+=4,f.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Dn(\"CircleBucket\",Fa,{omit:[\"layers\"]});var Qa=new yi({\"circle-sort-key\":new di(At.layout_circle[\"circle-sort-key\"])}),$a={paint:new yi({\"circle-radius\":new di(At.paint_circle[\"circle-radius\"]),\"circle-color\":new di(At.paint_circle[\"circle-color\"]),\"circle-blur\":new di(At.paint_circle[\"circle-blur\"]),\"circle-opacity\":new di(At.paint_circle[\"circle-opacity\"]),\"circle-translate\":new pi(At.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=us(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var fs=hs;function hs(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(ps,this,e),this.length=this._features.length}function ps(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function ds(t,e,r){if(3===t){var n=new fs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}hs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new ss(this._pbf,e,this.extent,this._keys,this._values)};var gs={VectorTile:function(t,e){this.layers=t.readFields(ds,{},e)},VectorTileFeature:ss,VectorTileLayer:fs},ms=gs.VectorTileFeature.types,vs=Math.pow(2,13);function ys(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*vs)+o,i*vs*2,a*vs*2,Math.round(s))}var xs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Si,this.indexArray=new Fi,this.programConfigurations=new Ia(os,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function bs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}xs.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ts(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Da(o):[]};if(this.layers[0]._featureFilter.filter(new ii(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Da(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(es(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},xs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},xs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},xs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},xs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},xs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,os),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},xs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},xs.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Qo(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>8192}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>8192}))))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!bs(v,y)){f.vertexLength+4>ia.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),ys(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g+=b),ys(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>ia.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===ms[t.type]){for(var w=[],T=[],k=f.vertexLength,M=0,A=s;M<A.length;M+=1){var S=A[M];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];ys(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var 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a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Ts(s,s),f=Ts(s,l),h=Ts(l,l),p=Ts(c,s),d=Ts(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=i.z*(1-m-v)+r.z*m+a.z*v;if(isFinite(y))return y}return 1/0}for(var x=1/0,b=0,_=e;b<_.length;b+=1)x=Math.min(x,_[b].z);return x}var Ms=Ti([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,As=gs.VectorTileFeature.types,Ss=Math.cos(Math.PI/180*37.5),Es=Math.pow(2,14)/.5,Cs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Ei,this.indexArray=new Fi,this.programConfigurations=new Ia(Ms,t.layers,t.zoom),this.segments=new ia,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return 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a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1)this.addLine(f[u],t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Cs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===As[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 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o=e.y*n-e.x,s=-e.y-e.x*n;this.addHalfVertex(t,e.x+e.y*r,e.y-e.x*r,a,!1,r,i),this.addHalfVertex(t,o,s,a,!0,-n,i),this.distance>Es/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Cs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((t.x<<1)+(n?1:0),(t.y<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&s)<<2,s>>6);var l=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,l),o.primitiveLength++),i?this.e2=l:this.e1=l},Cs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Es-1):this.distance},Cs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Dn(\"LineBucket\",Cs,{omit:[\"layers\",\"patternFeatures\"]});var Ls=new yi({\"line-cap\":new 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n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Zs(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),qs(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),qs(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Zs(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Gs.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Js,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ks,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,tl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Qs,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,$s,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,el,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,rl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,nl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,il,e)},writeBytesField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Gs.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Gs.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Gs.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Gs.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var hl=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},pl={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};pl.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},pl.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},pl.tlbr.get=function(){return this.tl.concat(this.br)},pl.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(hl.prototype,pl);var dl=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=fl(i),o=new po({width:a.w||1,height:a.h||1});for(var s in t){var l=t[s],c=r[s].paddedRect;po.copy(l.data,o,{x:0,y:0},{x:c.x+1,y:c.y+1},l.data)}for(var u in e){var f=e[u],h=n[u].paddedRect,p=h.x+1,d=h.y+1,g=f.data.width,m=f.data.height;po.copy(f.data,o,{x:0,y:0},{x:p,y:d},f.data),po.copy(f.data,o,{x:0,y:m-1},{x:p,y:d-1},{width:g,height:1}),po.copy(f.data,o,{x:0,y:0},{x:p,y:d+m},{width:g,height:1}),po.copy(f.data,o,{x:g-1,y:0},{x:p-1,y:d},{width:1,height:m}),po.copy(f.data,o,{x:0,y:0},{x:p+g,y:d},{width:1,height:m})}this.image=o,this.iconPositions=r,this.patternPositions=n};dl.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new hl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},dl.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},dl.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl;r.update(e.data,void 0,{x:n[0],y:n[1]})}},Dn(\"ImagePosition\",hl),Dn(\"ImageAtlas\",dl);var gl={horizontal:1,vertical:2,horizontalOnly:3},ml=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};ml.forText=function(t,e){var r=new ml;return r.scale=t||1,r.fontStack=e,r},ml.forImage=function(t){var e=new ml;return e.imageName=t,e};var vl=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function yl(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=vl.fromFeature(t,i);f===gl.vertical&&v.verticalizePunctuation();var y=ni.processBidirectionalText,x=ni.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),Ml(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new vl;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var M=0,A=x(v.text,v.sectionIndex,Ml(v,c,a,e,n,p,d));M<A.length;M+=1){var S=A[M],E=new vl;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,Ml(v,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,M=0;if(b.length()){for(var A=0;A<b.length();A++){var S=b.getSection(A),E=b.getSectionIndex(A),C=b.getCharCode(A),L=0,I=null,P=null,z=null,O=24,D=!(l===gl.horizontal||!u&&!Hn(C)||u&&(xl[C]||(H=C,Vn.Arabic(H)||Vn[\"Arabic Supplement\"](H)||Vn[\"Arabic Extended-A\"](H)||Vn[\"Arabic Presentation Forms-A\"](H)||Vn[\"Arabic Presentation Forms-B\"](H))));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,L=w+(24-F[1]*S.scale),O=(I={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]}).advance;var B=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;B>0&&B>M&&(M=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:h,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),h+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:h,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),h+=I.advance*S.scale+c)}0!==k.length&&(d=Math.max(h-c,d),Sl(k,0,k.length-1,m,M)),h=0;var q=a*_+M;T.lineOffset=Math.max(M,w),p+=q,g=Math.max(q,g),++v}else p+=a,++v}var H,G=p- -17,Y=Al(o),W=Y.horizontalAlign,X=Y.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c,u=(e-r)*i;c=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var g=d[p];g.x+=u,g.y+=c}})(t.positionedLines,m,W,X,d,g,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}vl.fromFeature=function(t,e){for(var r=new vl,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},vl.prototype.length=function(){return this.text.length},vl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},vl.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},vl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},vl.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;e+=n&&Gn(n)&&!Us[t[r+1]]||i&&Gn(i)&&!Us[t[r-1]]||!Us[t[r]]?t[r]:Us[t[r]]}return e}(this.text)},vl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&xl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&xl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},vl.prototype.substring=function(t,e){var r=new vl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},vl.prototype.toString=function(){return this.text},vl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},vl.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(ml.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},vl.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(ml.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_(\"Reached maximum number of images 6401\")}else _(\"Can't add FormattedSection with an empty image.\")},vl.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var xl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},bl={};function _l(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function wl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function Tl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function kl(t,e,r,n,i,a){for(var o=null,s=wl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],f=wl(e-u.x,r,i,a)+u.badness;f<=s&&(o=u,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function Ml(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=_l(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"\\u200b\")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(xl[d]||(f+=_l(d,p,n,i,e,o)),h<t.length()-1){var g=!((s=d)<11904||!(Vn[\"Bopomofo Extended\"](s)||Vn.Bopomofo(s)||Vn[\"CJK Compatibility Forms\"](s)||Vn[\"CJK Compatibility Ideographs\"](s)||Vn[\"CJK Compatibility\"](s)||Vn[\"CJK Radicals Supplement\"](s)||Vn[\"CJK Strokes\"](s)||Vn[\"CJK Symbols and Punctuation\"](s)||Vn[\"CJK Unified Ideographs Extension A\"](s)||Vn[\"CJK Unified 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o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,g=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+g+n[1]):f=(p=i[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*a,v=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+m-n[0],h=i[1]+v+n[2]):h=(u=i[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:f,bottom:h,left:p,collisionPadding:o}}bl[10]=!0,bl[32]=!0,bl[38]=!0,bl[40]=!0,bl[41]=!0,bl[43]=!0,bl[45]=!0,bl[47]=!0,bl[173]=!0,bl[183]=!0,bl[8203]=!0,bl[8208]=!0,bl[8211]=!0,bl[8231]=!0;var Cl=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);function Ll(t,e){var r=e.expression;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new ii(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:i}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new ii(s)),maxSize:r.evaluate(new ii(l)),interpolationType:i}}function Il(t,e,r){var n=e.uSize,i=r.lowerSize;return\"source\"===t.kind?i/128:\"composite\"===t.kind?Ue(i/128,r.upperSize/128,e.uSizeT):n}function Pl(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var i=t.interpolationType,a=i?l(rr.interpolationFactor(i,e,t.minZoom,t.maxZoom),0,1):0;\"camera\"===t.kind?n=Ue(t.minSize,t.maxSize,a):r=a}return{uSizeT:r,uSize:n}}Dn(\"Anchor\",Cl);var 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h=Hl(n.stretch-x,b,u,t.left),p=Gl(n.fixed-T,k,n.stretch,g),d=Hl(a.stretch-_,w,f,t.top),v=Gl(a.fixed-M,A,a.stretch,m),y=Hl(l.stretch-x,b,u,t.left),S=Gl(l.fixed-T,k,l.stretch,g),E=Hl(c.stretch-_,w,f,t.top),C=Gl(c.fixed-M,A,c.stretch,m),L=new i(h,d),I=new i(y,d),P=new i(y,E),z=new i(h,E),O=new i(p/s,v/s),D=new i(S/s,C/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];L._matMult(N),I._matMult(N),z._matMult(N),P._matMult(N)}var j=n.stretch+n.fixed,U=a.stretch+a.fixed;return{tl:L,tr:I,bl:z,br:P,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+U,w:l.stretch+l.fixed-j,h:c.stretch+c.fixed-U},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:O,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:A/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var C=ql(h,v,g),L=ql(p,y,m),I=0;I<C.length-1;I++)for(var P=C[I],z=C[I+1],O=0;O<L.length-1;O++)a.push(E(P,L[O],z,L[O+1]));else 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k=s[m.imageName];x=k.sdf,y=1/(b=k.pixelRatio)}var M=a?[m.x+T,m.y]:[0,0],A=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],S=[0,0];w&&(S=A,A=[0,0]);var E=(m.metrics.left-y)*m.scale-T+A[0],C=(-m.metrics.top-y)*m.scale+A[1],L=E+v.w*m.scale/b,I=C+v.h*m.scale/b,P=new i(E,C),z=new i(L,C),O=new i(E,I),D=new i(L,I);if(w){var R=new i(-T,T- -17),F=-Math.PI/2,B=12-T,N=new i(22-B,-(m.imageName?B:0)),j=new(Function.prototype.bind.apply(i,[null].concat(S)));P._rotateAround(F,R)._add(N)._add(j),z._rotateAround(F,R)._add(N)._add(j),O._rotateAround(F,R)._add(N)._add(j),D._rotateAround(F,R)._add(N)._add(j)}if(c){var U=Math.sin(c),V=Math.cos(c),q=[V,-U,U,V];P._matMult(q),z._matMult(q),O._matMult(q),D._matMult(q)}var H=new i(0,0),G=new i(0,0);u.push({tl:P,tr:z,bl:O,br:D,tex:v,writingMode:e.writingMode,glyphOffset:M,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:H,pixelOffsetBR:G,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. 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Fi,this.programConfigurations=t,this.segments=new ia,this.dynamicLayoutVertexArray=new Ii,this.opacityVertexArray=new Pi,this.placedSymbolArray=new Ji};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Ds.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ac,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Dn(\"SymbolBuffers\",cc);var uc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ia,this.collisionVertexArray=new Ri};uc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Fs.members,!0)},uc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Dn(\"CollisionBuffers\",uc);var fc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=eo([]),this.placementViewportMatrix=eo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Ll(this.zoom,e[\"text-size\"]),this.iconSizeData=Ll(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1),this.sortFeaturesByY=(\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey)&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return gl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fc.prototype.createArrays=function(){this.text=new cc(new Ia(Ds.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new Ia(Ds.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new $i,this.lineVertexArray=new ta,this.symbolInstances=new Qi},fc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Us[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof te&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new ii(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Da(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Da(y));var k=void 0;if(l){var M=n.getValueAndResolveTokens(\"text-field\",T,r,p),A=te.factory(M);lc(A)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ei()||this.hasRTLText&&ni.isParsed())&&(k=js(A,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ee?E:ee.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Da(y),properties:y.properties,type:ic[y.type],sortKey:C};if(this.features.push(L),S&&(f[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(gl.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)f[D.image.name]=!0;else{var R=qn(k.toString()),F=D.fontStack||I,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},fc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},fc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===gl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,M=b.tex,A=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,C=b.minFontScaleY,L=b.glyphOffset,I=b.isSDF,P=b.sectionIndex,z=d.vertexLength,O=L[1];oc(p,s.x,s.y,_.x,O+_.y,M.x,M.y,r,I,A.x,A.y,E,C),oc(p,s.x,s.y,w.x,O+w.y,M.x+M.w,M.y,r,I,S.x,A.y,E,C),oc(p,s.x,s.y,T.x,O+T.y,M.x,M.y+M.h,r,I,A.x,S.y,E,C),oc(p,s.x,s.y,k.x,O+k.y,M.x+M.w,M.y+M.h,r,I,S.x,S.y,E,C),sc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(z,z+1,z+2),h.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i);this.addCollisionDebugVertices(a.x1,a.y1,a.x2,a.y2,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new uc(Oi,Bs.members,qi),this.iconCollisionBox=new uc(Oi,Bs.members,qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},fc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},fc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},fc.prototype.hasTextData=function(){return this.text.segments.get().length>0},fc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},fc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},fc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=this.symbolInstances.get(n[r]);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,i.verticalPlacedTextSymbolIndex),i.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.placedIconSymbolIndex),i.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,i.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Dn(\"SymbolBucket\",fc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fc.MAX_GLYPHS=65535,fc.addDynamicAttributes=sc;var hc=new yi({\"symbol-placement\":new pi(At.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new pi(At.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new pi(At.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new di(At.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new pi(At.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new pi(At.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new pi(At.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new pi(At.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new pi(At.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new di(At.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new pi(At.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new pi(At.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new di(At.layout_symbol[\"icon-image\"]),\"icon-rotate\":new di(At.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new pi(At.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new pi(At.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new di(At.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new di(At.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new pi(At.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new pi(At.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new pi(At.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new di(At.layout_symbol[\"text-field\"]),\"text-font\":new di(At.layout_symbol[\"text-font\"]),\"text-size\":new di(At.layout_symbol[\"text-size\"]),\"text-max-width\":new di(At.layout_symbol[\"text-max-width\"]),\"text-line-height\":new pi(At.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new di(At.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new di(At.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new di(At.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new pi(At.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new di(At.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new pi(At.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new pi(At.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new di(At.layout_symbol[\"text-rotate\"]),\"text-padding\":new pi(At.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new pi(At.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new di(At.layout_symbol[\"text-transform\"]),\"text-offset\":new di(At.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new pi(At.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new pi(At.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new pi(At.layout_symbol[\"text-optional\"])}),pc={paint:new yi({\"icon-opacity\":new di(At.paint_symbol[\"icon-opacity\"]),\"icon-color\":new di(At.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new di(At.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new di(At.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new di(At.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new pi(At.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new pi(At.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new di(At.paint_symbol[\"text-opacity\"]),\"text-color\":new di(At.paint_symbol[\"text-color\"],{runtimeType:Bt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new di(At.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new di(At.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new di(At.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new pi(At.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new pi(At.paint_symbol[\"text-translate-anchor\"])}),layout:hc},dc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ot,this.defaultValue=t};dc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},dc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},dc.prototype.outputDefined=function(){return!1},dc.prototype.serialize=function(){return null},Dn(\"FormatSectionOverride\",dc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,pc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(this.layout._values[\"icon-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(this.layout._values[\"text-rotation-alignment\"]=\"point\"!==this.layout.get(\"symbol-placement\")?\"map\":\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Vr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=pc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new dc(a),s=new Ur(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new Hr(\"source\",s):new Gr(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new fi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=pc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1)if(n.overrides&&n.overrides.hasOverride(r[e]))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof te)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){i||(t instanceof oe&&ie(t.value)===Vt?a(t.value.sections):t instanceof ue?a(t.sections):t.eachChild(o))},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(xi),mc={paint:new yi({\"background-color\":new pi(At.paint_background[\"background-color\"]),\"background-pattern\":new mi(At.paint_background[\"background-pattern\"]),\"background-opacity\":new pi(At.paint_background[\"background-opacity\"])})},vc=function(t){function e(e){t.call(this,e,mc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),yc={paint:new yi({\"raster-opacity\":new pi(At.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new pi(At.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new pi(At.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new pi(At.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new pi(At.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new pi(At.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new pi(At.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new pi(At.paint_raster[\"raster-fade-duration\"])})},xc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(xi),bc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(xi),_c={circle:oo,heatmap:vo,hillshade:xo,fill:as,\"fill-extrusion\":ws,line:zs,symbol:gc,background:vc,raster:xc},wc=self.HTMLImageElement,Tc=self.HTMLCanvasElement,kc=self.HTMLVideoElement,Mc=self.ImageData,Ac=self.ImageBitmap,Sc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Sc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof wc||t instanceof Tc||t instanceof kc||t instanceof Mc||Ac&&t instanceof Ac?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Sc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Sc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Sc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ec=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Ec.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Ec.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Ec(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Lc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Nn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(jn(e.error)):n(null,jn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Nn(e):null,data:Nn(n,a)},a)}:function(t){i=!0},s=null,l=jn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Ic=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Ic.prototype.setNorthEast=function(t){return this._ne=t instanceof Pc?new Pc(t.lng,t.lat):Pc.convert(t),this},Ic.prototype.setSouthWest=function(t){return this._sw=t instanceof Pc?new Pc(t.lng,t.lat):Pc.convert(t),this},Ic.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Pc)e=t,r=t;else{if(!(t instanceof Ic))return Array.isArray(t)?4===t.length||t.every(Array.isArray)?this.extend(Ic.convert(t)):this.extend(Pc.convert(t)):this;if(r=t._ne,!(e=t._sw)||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Pc(e.lng,e.lat),this._ne=new Pc(r.lng,r.lat)),this},Ic.prototype.getCenter=function(){return new Pc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ic.prototype.getSouthWest=function(){return this._sw},Ic.prototype.getNorthEast=function(){return this._ne},Ic.prototype.getNorthWest=function(){return new Pc(this.getWest(),this.getNorth())},Ic.prototype.getSouthEast=function(){return new Pc(this.getEast(),this.getSouth())},Ic.prototype.getWest=function(){return this._sw.lng},Ic.prototype.getSouth=function(){return this._sw.lat},Ic.prototype.getEast=function(){return this._ne.lng},Ic.prototype.getNorth=function(){return this._ne.lat},Ic.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ic.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ic.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ic.prototype.contains=function(t){var e=Pc.convert(t),r=e.lng,n=e.lat,i=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(i=this._sw.lng>=r&&r>=this._ne.lng),this._sw.lat<=n&&n<=this._ne.lat&&i},Ic.convert=function(t){return!t||t instanceof Ic?t:new Ic(t)};var Pc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Pc.prototype.wrap=function(){return new Pc(c(this.lng,-180,180),this.lat)},Pc.prototype.toArray=function(){return[this.lng,this.lat]},Pc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Pc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Pc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Ic(new Pc(this.lng-r,this.lat-e),new Pc(this.lng+r,this.lat+e))},Pc.convert=function(t){if(t instanceof Pc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Pc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Pc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var zc=2*Math.PI*6371008.8;function Oc(t){return zc*Math.cos(t*Math.PI/180)}function Dc(t){return(180+t)/360}function Rc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Fc(t,e){return t/Oc(e)}function Bc(t){return 360/Math.PI*Math.atan(Math.exp((180-360*t)*Math.PI/180))-90}var Nc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Nc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Pc.convert(t);return new Nc(Dc(r.lng),Rc(r.lat),Fc(e,r.lat))},Nc.prototype.toLngLat=function(){return new Pc(360*this.x-180,Bc(this.y))},Nc.prototype.toAltitude=function(){return this.z*Oc(Bc(this.y))},Nc.prototype.meterInMercatorCoordinateUnits=function(){return 1/zc*(t=Bc(this.y),1/Math.cos(t*Math.PI/180));var t};var jc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=qc(0,t,t,e,r)};jc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},jc.prototype.url=function(t,e){var r,n,i,a,o,s=(n=this.y,i=this.z,a=Lc(256*(r=this.x),256*(n=Math.pow(2,i)-n-1),i),o=Lc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},jc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},jc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Uc=function(t,e){this.wrap=t,this.canonical=e,this.key=qc(t,e.z,e.z,e.x,e.y)},Vc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new jc(r,+n,+i),this.key=qc(e,t,r,n,i)};function qc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Vc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Vc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Vc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Vc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Vc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?qc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):qc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Vc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Vc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Vc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Vc(e,this.wrap,e,r,n),new Vc(e,this.wrap,e,r+1,n),new Vc(e,this.wrap,e,r,n+1),new Vc(e,this.wrap,e,r+1,n+1)]},Vc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Vc.prototype.wrapped=function(){return new Vc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.unwrapTo=function(t){return new Vc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Vc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Vc.prototype.toUnwrapped=function(){return new Uc(this.wrap,this.canonical)},Vc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Vc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Nc(t.x-this.wrap,t.y))},Dn(\"CanonicalTileID\",jc),Dn(\"OverscaledTileID\",Vc,{omit:[\"posMatrix\"]});var Hc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Hc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Hc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Hc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Hc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Hc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Hc.prototype.getPixels=function(){return new po({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Hc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Dn(\"DEMData\",Hc);var Gc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Gc.prototype.encode=function(t){return this._stringToNumber[t]},Gc.prototype.decode=function(t){return this._numberToString[t]};var Yc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Wc={geometry:{configurable:!0}};Wc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Wc.geometry.set=function(t){this._geometry=t},Yc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Yc.prototype,Wc);var Xc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Xc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Xc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Xc.prototype.getState=function(t,e){var r=String(e),n=u({},(this.state[t]||{})[r],(this.stateChanges[t]||{})[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var i=this.deletedStates[t][e];if(null===i)return{};for(var a in i)delete n[a]}return n},Xc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Xc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1)delete this.state[o][c][h[f]];s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var p in t)t[p].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Ln(8192,16,0),this.grid3D=new Ln(8192,16,0),this.featureIndexArray=new ra,this.promoteId=e};function Jc(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof hi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Kc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Qc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new gs.VectorTile(new Hs(this.rawTileData)).layers,this.sourceLayerCoder=new Gc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=rn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=Kc(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=Kc(t.cameraQueryGeometry),d=0,g=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1)if(Wa(t,f[u]))return!0;for(var h=0;h<t.length-1;h++)if(Xa(t[h],t[h+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)}));d<g.length;d+=1)h.push(g[d]);h.sort(Qc);for(var m,v={},y=function(i){var u=h[i];if(u!==m){m=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(v,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Da(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},x=0;x<h.length;x++)y(x);return v},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new ii(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=Jc(x.paint,v.paint,p,y,o),x.layout=Jc(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new Yc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=rn(i),u=0,f=t;u<f.length;u+=1)this.loadMatchingFeature(l,r,n,f[u],c,a,o,s,e);return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;return this.promoteId&&\"boolean\"==typeof(r=t.properties[\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e]])&&(r=Number(r)),r},Dn(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var $c=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};$c.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},$c.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},$c.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1)r[s[o].id]=t}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof fc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fc&&o.hasRTLText){this.hasRTLText=!0,ni.isLoading()||ni.isLoaded()||\"deferred\"!==ei()||ri();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Xi},$c.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},$c.prototype.getBucket=function(t){return this.buckets[t.id]},$c.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Sc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Sc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},$c.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},$c.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},$c.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=rn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new ii(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new Yc(p,l,c,u,d);g.tile=f,t.push(g)}}}},$c.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},$c.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},$c.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},$c.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)},$c.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},$c.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},$c.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},$c.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},$c.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},$c.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},$c.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=this.dependencies[n[r]];if(i)for(var a=0,o=e;a<o.length;a+=1)if(i[o[a]])return!0}return!1};var tu=self.performance,eu=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},tu.mark(this._marks.start)};eu.prototype.finish=function(){tu.mark(this._marks.end);var t=tu.getEntriesByName(this._marks.measure);return 0===t.length&&(tu.measure(this._marks.measure,this._marks.start,this._marks.end),t=tu.getEntriesByName(this._marks.measure),tu.clearMarks(this._marks.start),tu.clearMarks(this._marks.end),tu.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=ho,t.CanonicalTileID=jc,t.CollisionBoxArray=Xi,t.Color=Kt,t.DEMData=Hc,t.DataConstantProperty=pi,t.DictionaryCoder=Gc,t.EXTENT=8192,t.ErrorEvent=kt,t.EvaluationParameters=ii,t.Event=Tt,t.Evented=Mt,t.FeatureIndex=Zc,t.FillBucket=rs,t.FillExtrusionBucket=xs,t.ImageAtlas=dl,t.ImagePosition=hl,t.LineBucket=Cs,t.LngLat=Pc,t.LngLatBounds=Ic,t.MercatorCoordinate=Nc,t.ONE_EM=24,t.OverscaledTileID=Vc,t.Point=i,t.Point$1=i,t.Properties=yi,t.Protobuf=Hs,t.RGBAImage=po,t.RequestManager=q,t.RequestPerformance=eu,t.ResourceType=ht,t.SegmentVector=ia,t.SourceFeatureState=Xc,t.StructArrayLayout1ui2=Hi,t.StructArrayLayout2f1f2i16=Di,t.StructArrayLayout2i4=Mi,t.StructArrayLayout3ui6=Fi,t.StructArrayLayout4i8=Ai,t.SymbolBucket=fc,t.Texture=Sc,t.Tile=$c,t.Transitionable=si,t.Uniform1f=va,t.Uniform1i=ma,t.Uniform2f=ya,t.Uniform3f=xa,t.Uniform4f=ba,t.UniformColor=_a,t.UniformMatrix4f=Ta,t.UnwrappedTileID=Uc,t.ValidationError=St,t.WritingMode=gl,t.ZoomHistory=Un,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=sc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ut>ot&&(t.getActor().send(\"enforceCacheSizeLimit\",at),ut=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete(\"mapbox-tiles\");t&&e.catch(t).then((function(){return t()}))},t.clipLine=jl,t.clone=function(t){var e=new to(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new to(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ns,t.config=F,t.create=function(){var t=new to(16);return to!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new to(9);return to!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new to(4);return to!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=qr,t.createLayout=Ti,t.createStyleLayer=function(t){return\"custom\"===t.type?new bc(t):new _c[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=Cn,t.endsWith=m,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Il,t.evaluateSizeForZoom=Pl,t.evaluateVariableOffset=$l,t.evented=ti,t.extend=u,t.featureFilter=rn,t.filterObject=y,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Al,t.getAnchorJustification=tc,t.getArrayBuffer=yt,t.getImage=bt,t.getJSON=function(t,e){return vt(u(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=ei,t.getReferrer=mt,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement(\"source\");r=t[a],n=void 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r}function ft(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function ht(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(pt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(pt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function pt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function dt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,gt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function gt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)mt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)mt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var f in u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function mt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function vt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)J(r,t.features[n],e,n);else J(r,\"Feature\"===t.type?t:{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=rt(t,1,-1-r,r,0,-1,2,e),a=rt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=rt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=ut(i,1).concat(n)),a&&(n=n.concat(ut(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function xt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}F.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(N(t[l],l));this.trees[i+1]=new D(s,G,Y,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new D(s,G,Y,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},F.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(V(r),q(a),V(i),q(n));u<f.length;u+=1){var h=l.points[f[u]];c.push(h.numPoints?j(h):this.points[h.index])}return c},F.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=i.points[c[l]];u.parentId===t&&s.push(u.numPoints?j(u):this.points[u.index])}if(0===s.length)throw new Error(n);return s},F.prototype.getLeaves=function(t,e,r){var n=[];return this._appendLeaves(n,t,e=e||10,r=r||0,0),n},F.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.radius/a.extent,s=(r-o)/i,l=(r+1+o)/i,c={features:[]};return this._addTileFeatures(n.range((e-o)/i,s,(e+1+o)/i,l),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-o/i,s,1,l),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,s,o/i,l),n.points,-1,r,i,c),c.features.length?c:null},F.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},F.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},F.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?U(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},F.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},F.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.reduce,a=n.radius/(n.extent*Math.pow(2,e)),o=0;o<t.length;o++){var s=t[o];if(!(s.zoom<=e)){s.zoom=e;for(var l=this.trees[e+1],c=l.within(s.x,s.y,a),u=s.numPoints||1,f=s.x*u,h=s.y*u,p=i&&u>1?this._map(s,!0):null,d=(o<<5)+(e+1)+this.points.length,g=0,m=c;g<m.length;g+=1){var v=l.points[m[g]];if(!(v.zoom<=e)){v.zoom=e;var y=v.numPoints||1;f+=v.x*y,h+=v.y*y,u+=y,v.parentId=d,i&&(p||(p=this._map(s,!0)),i(p,this._map(v)))}}1===u?r.push(s):(s.parentId=d,r.push(B(f/u,h/u,d,u,p)))}}return r},F.prototype._getOriginId=function(t){return t-this.points.length>>5},F.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},F.prototype._map=function(t,e){if(t.numPoints)return e?H({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?H({},n):n},vt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},vt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=yt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=dt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=rt(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=rt(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=rt(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=rt(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=rt(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=rt(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},vt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=yt(t,e=(e%o+o)%o,r);if(this.tiles[s])return ht(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[yt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ht(this.tiles[s],i):null):null};var bt=function(e){function r(t,r,n,i){e.call(this,t,r,n,xt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n<e.features.length;n++)t(e.features[n],r);else if(\"GeometryCollection\"===i)for(n=0;n<e.geometries.length;n++)t(e.geometries[n],r);else if(\"Feature\"===i)t(e.geometry,r);else if(\"Polygon\"===i)f(e.coordinates,r);else if(\"MultiPolygon\"===i)for(n=0;n<e.coordinates.length;n++)f(e.coordinates[n],r);return e}(o,!0);try{e._geoJSONIndex=n.cluster?new F(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=t.createExpression(h[1]),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=d.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new vt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded;return n&&n[t.uid]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l),_t=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:bt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return _t.prototype.setReferrer=function(t,e){this.referrer=e},_t.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},_t.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},_t.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},_t.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},_t.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},_t.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},_t.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},_t.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},_t.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},_t.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},_t.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},_t.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},_t.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},_t.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},_t.prototype.getWorkerSource=function(t,e,r){var n=this;return this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),this.workerSources[t][e][r]||(this.workerSources[t][e][r]=new this.workerSourceTypes[e]({send:function(e,r,i){n.actor.send(e,r,i,t)}},this.getLayerIndex(t),this.getAvailableImages(t))),this.workerSources[t][e][r]},_t.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},_t.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new _t(t.window)),_t})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"==typeof window||\"undefined\"==typeof document?\"not a browser\":Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(void 0===n[r=t&&t.failIfMajorPerformanceCaveat]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),t.addEventListener(e,r,\"passive\"in n&&l?n:n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),t.removeEventListener(e,r,\"passive\"in n&&l?n:n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e];this._notify(n.ids,n.callback)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){e.version=this.images[t].version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1)this.images[i[n]]||(r=!1);this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented),p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++)r[n]=Math.max(0,Math.min(255,Math.round(255-255*((this.gridOuter[n]-this.gridInner[n])/this.radius+this.cutoff))));return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1)i.push({stack:a,id:s[o]});t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){var c=t[l];n.push({left:i=s*r,right:a=(s+=c)*r,isDash:o=!o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.width*(this.nextRow+r+i),o=0,s=t[o],l=0;l<this.width;l++){l/s.right>1&&(s=t[++o]);var c=Math.abs(l-s.left),u=Math.abs(l-s.right),f=Math.min(c,u),h=void 0,p=i/r*(n+1);if(s.isDash){var d=n-Math.abs(p);h=Math.sqrt(f*f+d*d)}else h=n-Math.sqrt(f*f+p*p);this.data[a+l]=Math.max(0,Math.min(255,h+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f);this.data[o+c]=Math.max(0,Math.min(255,(l.isDash?h:-h)+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=new e.Actor(i[a],n,this.id);o.name=\"Worker \"+a,this.actors.push(o)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n=n||function(){})},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor,e.request=this.actor.send(i,{type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId},(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),I=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),P=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=Math.max(i-r,a-n),u=Math.max(0,Math.floor(-Math.log(c)/Math.LN2)),f=Math.pow(2,u);return new t.CanonicalTileID(u,Math.floor((r+i)/2*f),Math.floor((n+a)/2*f))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,I.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),z=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1)this.urls.push(this.map._requestManager.transformRequest(i[n],t.ResourceType.Source).url);t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,I.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(P),O=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,I.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(P),D={vector:S,raster:E,\"raster-dem\":C,geojson:L,video:z,image:P,canvas:O};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];f[g.featureIndex]||(f[g.featureIndex]=!0,h.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=e.attributes[this.attributes[r].name];void 0!==n&&t.enableVertexAttribArray(n)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){this.buffer&&(this.context.gl.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var H=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var 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e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var 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e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function 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t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Ct=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Ct.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()},Ct.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},Ct.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Ct.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Ct.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Ct.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Ct.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Ct.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Ct.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Ct.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Ct.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Ct.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Lt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=Math.ceil(t.width/this._source.tileSize)+1,r=Math.ceil(t.height/this._source.tileSize)+1,n=Math.floor(e*r*5),i=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,n):n;this._cache.setMaxSize(i)},r.prototype.handleWrapJump=function(t){var e=Math.round((t-(void 0===this._prevLng?t:this._prevLng))/360);if(this._prevLng=t,e){var r={};for(var n in this._tiles){var i=this._tiles[n];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),r[i.tileID.key]=i}for(var a in this._tiles=r,this._timers)clearTimeout(this._timers[a]),delete this._timers[a];for(var o in this._tiles)this._setTileReloadTimer(o,this._tiles[o])}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Pt(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1)this._loadedParentTiles[o[a]]=r}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Pt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){this._state.updateState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.removeFeatureState=function(t,e,r){this._state.removeFeatureState(t=t||\"_geojsonTileLayer\",e,r)},r.prototype.getFeatureState=function(t,e){return this._state.getState(t=t||\"_geojsonTileLayer\",e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Pt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(Yi.workerUrl)}Lt.maxOverzooming=10,Lt.maxUnderzooming=3;var Ot=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[Ot]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={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 Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}var Zt=function(t,e){this.reset(t,e)};Zt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Zt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Jt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Kt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function Qt(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function $t(e,r){var n=[e.x,e.y,0,1];ue(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function te(t,e){return.5+t/e*.5}function ee(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function re(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ce(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),ee(x,f)){var b=te(n.transform.cameraToCenterDistance,x[3]),_=t.evaluateSizeForFeature(c,u,y),w=s?_/b:_*b,T=new t.Point(y.anchorX,y.anchorY),k=$t(T,a).point,M={},A=ae(y,w,!1,l,r,a,o,e.glyphOffsetArray,p,h,k,T,M,g);m=A.useVertical,(A.notEnoughRoom||m||A.needsFlipping&&ae(y,w,!0,l,r,a,o,e.glyphOffsetArray,p,h,k,T,M,g).notEnoughRoom)&&ce(y.numGlyphs,h)}else ce(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ne(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=se(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=se(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ie(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ae(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ne(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=$t(w.first.point,s).point,k=$t(w.last.point,s).point;if(i&&!n){var M=ie(e.writingMode,T,k,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(se(m*l.getoffsetX(A),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=$t(h,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=$t(C,a),I=L.signedDistanceFromCamera>0?L.point:oe(h,C,S,1,a),P=ie(e.writingMode,S,I,d);if(P)return P}var z=se(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};g=[z]}for(var O=0,D=g;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function oe(t,e,r,n,i){var a=$t(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function se(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=$t(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var M=m-d;v=oe(0===x?o:new t.Point(u.getx(M),u.gety(M)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var A=(_-x)/b,S=v.sub(y),E=S.mult(A)._add(y);E._add(S._unit()._perp()._mult(n*d));var C=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:C,path:w}}Jt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Jt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Jt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Jt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Jt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Jt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}return this._forEachCell(t,e,r,n,this._queryCell,o,{hitTest:i,seenUids:{box:{},circle:{}}},a),i?o.length>0:o},Jt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[];return this._forEachCell(a,s,o,l,this._queryCellCircle,c,{hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}},i),n?c.length>0:c},Jt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Jt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Jt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Jt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Jt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Jt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++)if(i.call(this,t,e,r,n,this.xCellCount*p+h,a,o,s))return},Jt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Jt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Jt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Jt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var le=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ce(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(le,3*n)}}function ue(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var fe=function(t,e,r){void 0===e&&(e=new Jt(t.width+200,t.height+200,25)),void 0===r&&(r=new Jt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function he(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}fe.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},fe.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=$t(g,o),v=te(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=$t(g,s).point,b=ne(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,M=new t.Point(-100,-100),A=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Zt,E=b.first,C=b.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return $t(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=M.x&&F.x<=A.x&&R.y>=M.y&&F.y<=A.y?[L]:F.x<M.x||R.x>A.x||F.y<M.y||R.y>A.y?[]:t.clipLine([L],M.x,M.y,A.x,A.y)}for(var N=0,j=D;N<j.length;N+=1){var U;S.reset(j[N],.25*k),U=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var V=0;V<U;V++){var q=V/Math.max(U-1,1),H=S.lerp(q),G=H.x+100,Y=H.y+100;d.push(G,Y,k,0);var W=G-k,X=Y-k,Z=G+k,J=Y+k;if(T=T&&this.isOffscreen(W,X,Z,J),w=w||this.isInsideGrid(W,X,Z,J),!e&&this.grid.hitTestCircle(G,Y,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},fe.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},fe.prototype.insertCollisionBox=function(t,e,r,n,i){(e?this.ignoredGrid:this.grid).insert({bucketInstanceId:r,featureIndex:n,collisionGroupID:i},t[0],t[1],t[2],t[3])},fe.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},fe.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return ue(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},fe.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},fe.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},fe.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var pe=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};pe.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var de=function(t,e,r,n,i){this.text=new pe(t?t.text:null,e,r,i),this.icon=new pe(t?t.icon:null,e,n,i)};de.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var ge=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},me=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ve=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},ye=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function xe(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function be(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}ye.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var _e=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new fe(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new ye(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function we(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}_e.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=he(n,1,this.transform.zoom),g=Kt(f,h,p,this.transform,d),m=null;if(h){var v=Qt(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ve(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x];e.push({sortKey:_.sortKey,symbolInstanceStart:_.symbolInstanceStart,symbolInstanceEnd:_.symbolInstanceEnd,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},_e.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=xe(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(be(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(be(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return y.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}):void 0},_e.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),M=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var A=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new ge(!1,!1,!1);else{var p,T=!1,A=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,i.markUsedOrientation(o,n=a,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=i.attemptAnchorPlacement(N[d%N.length],t,a,s,c,b,_,f,l,g,d>=N.length,e,o,n,u);if(m&&(h=m.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=m.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&!(C&&C.box&&C.box.length)&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\");I=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,e.collisionCircleDiameter,W),T=y||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?be(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};A=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var Z=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=v||0===e.numIconVertices;if(Z||J?J?Z||(A=A&&T):T=A&&T:A=T=A&&T,T&&p&&p.box&&i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,L&&L.box&&O?O:z,g.ID),A&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new me);for(var $=0;$<I.circles.length;$+=4)Q.circles.push(I.circles[$+0]),Q.circles.push(I.circles[$+1]),Q.circles.push(I.circles[$+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new ge(T||k,A||M,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];A(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)A(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},_e.prototype.markUsedJustification=function(e,r,n,i){var a;a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:{left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex}[t.getAnchorJustification(r)];for(var o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];o<s.length;o+=1){var l=s[o];l>=0&&(e.text.placedSymbolArray.get(l).crossTileID=a>=0&&l!==a?0:n.crossTileID)}},_e.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1)e.text.placedSymbolArray.get(s[o]).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},_e.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new de(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new de(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new de(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},_e.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},_e.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new de(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new de(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=i.opacities[g];r[g]?m=o:m||(i.opacities[g]=m=p),r[g]=!0;var v=a.numIconVertices>0,y=i.placedOrientations[a.crossTileID],x=y===t.WritingMode.vertical,b=y===t.WritingMode.horizontal||y===t.WritingMode.horizontalOnly;if(s>0||l>0){var _=Le(m.text);d(e.text,s,x?Ie:_),d(e.text,l,b?Ie:_);var w=m.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=w||x?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=w||b?1:0);var T=i.variableOffsets[a.crossTileID];T&&i.markUsedJustification(e,T.anchor,a,y);var k=i.placedOrientations[a.crossTileID];k&&(i.markUsedJustification(e,\"left\",a,k),i.markUsedOrientation(e,k,a))}if(v){var M=Le(m.icon),A=!(h&&a.verticalPlacedIconSymbolIndex&&x);a.placedIconSymbolIndex>=0&&(d(e.icon,a.numIconVertices,A?M:Ie),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=m.icon.isHidden()),a.verticalPlacedIconSymbolIndex>=0&&(d(e.icon,a.numVerticalIconVertices,A?Ie:M),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=m.icon.isHidden())}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var S=e.collisionArrays[n];if(S){var E=new t.Point(0,0);if(S.textBox||S.verticalTextBox){var C=!0;if(c){var L=i.variableOffsets[g];L?(E=xe(L.anchor,L.width,L.height,L.textOffset,L.textBoxScale),u&&E._rotate(f?i.transform.angle:-i.transform.angle)):C=!1}S.textBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||x,E.x,E.y),S.verticalTextBox&&we(e.textCollisionBox.collisionVertexArray,m.text.placed,!C||b,E.x,E.y)}var I=Boolean(!b&&S.verticalIconBox);S.iconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,I,h?E.x:0,h?E.y:0),S.verticalIconBox&&we(e.iconCollisionBox.collisionVertexArray,m.icon.placed,!I,h?E.x:0,h?E.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},_e.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},_e.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},_e.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},_e.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},_e.prototype.setStale=function(){this.stale=!0};var Te=Math.pow(2,25),ke=Math.pow(2,24),Me=Math.pow(2,17),Ae=Math.pow(2,16),Se=Math.pow(2,9),Ee=Math.pow(2,8),Ce=Math.pow(2,1);function Le(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Te+e*ke+r*Me+e*Ae+r*Se+e*Ee+r*Ce+e}var Ie=0,Pe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Pe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;)if(e.getBucketParts(a,n,t[this._currentTileIndex],this._sortAcrossTiles),this._currentTileIndex++,i())return!0;for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;)if(e.placeLayerBucketPart(a[this._currentPartIndex],this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0;return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new _e(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Pe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Oe=512/t.EXTENT/2,De=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};De.prototype.getScaledCoordinates=function(e,r){var n=Oe/Math.pow(2,r.canonical.z-this.tileID.canonical.z);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*n),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*n)}},De.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Re=function(){this.maxCrossTileID=0};Re.prototype.generate=function(){return++this.maxCrossTileID};var Fe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Fe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Fe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new De(t,e.symbolInstances,e.bucketInstanceId),!0},Fe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1)delete this.usedCrossTileIDs[t][i[n].crossTileID]},Fe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Be=function(){this.layerIndexes={},this.crossTileIDs=new Re,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Be.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Fe);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Be.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var Ne=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},je=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ue=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ve=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i,a=t.styleSpec.$root[n];a.required&&null!=(i=\"version\"===n?r:\"array\"===a.type?[]:{})&&(e[n]=i)}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Be,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){o.dispatcher.broadcast(\"syncRTLPluginState\",{pluginStatus:e.pluginStatus,pluginURL:e.pluginURL},(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ve,!1)},r.prototype._load=function(e,r){if(!r||!Ne(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=this._layers[n[r]];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=this._layers[u[c]];f.recalculate(e,this._availableImages),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Ne(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=function(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)d.hasOwnProperty(o=f[i])?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)g[g.length-1-i]!==(o=h[h.length-1-i])&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,n.push({command:Ut.addLayer,args:[d[o],c=g[g.length-i]]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}(this.serialize(),e).filter((function(t){return!(t.command in Ue)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in je)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Lt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(Ne(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1)i.push(f[u])}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var h=[],p=this._order.length-1;p>=0;p--){var d=this._order[p];if(r(d))for(var g=i.length-1;g>=0;g--){var m=i[g].feature;if(n[m.layer.id]<p)break;h.push(m),i.pop()}else for(var v=0,y=t;v<y.length;v+=1){var x=y[v][d];if(x)for(var b=0,_=x;b<_.length;b+=1)h.push(_[b].feature)}}return h},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1)c.push(o[f[u]]);c.sort(B);for(var h=function(){var r=d[p],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1)o.push(f[u])}},p=0,d=c;p<d.length;p+=1)h();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=r[t[e].source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=a}))};for(var m in s)g(m);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&Ne(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=this._layers[u[c]];if(\"symbol\"===f.type){if(!l[f.source]){var h=this.sourceCaches[f.source];l[f.source]=h.getRenderableIds(!0).map((function(t){return h.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var p=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||p}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var d=0,g=this._order;d<g.length;d+=1){var m=this._layers[g[d]];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var He=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ge=vr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ye=vr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),We=vr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Xe=vr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Ze=vr(\"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);}\"),Je=vr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Ke=vr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Qe=vr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),$e=vr(\"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);}\"),tr=vr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),er=vr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),rr=vr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),nr=vr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ar=vr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),or=vr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),sr=vr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),lr=vr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),cr=vr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ur=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=vr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),hr=vr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),pr=vr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),dr=vr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),gr=vr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),mr=vr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function vr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var yr=Object.freeze({__proto__:null,prelude:Ge,background:Ye,backgroundPattern:We,circle:Xe,clippingMask:Ze,heatmap:Je,heatmapTexture:Ke,collisionBox:Qe,collisionCircle:$e,debug:tr,fill:er,fillOutline:rr,fillOutlinePattern:nr,fillPattern:ir,fillExtrusion:ar,fillExtrusionPattern:or,hillshadePrepare:sr,hillshade:lr,line:cr,lineGradient:ur,linePattern:fr,lineSDF:hr,raster:pr,symbolIcon:dr,symbolSDF:gr,symbolTextAndIcon:mr}),xr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};xr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);t.extVertexArrayObject&&this.vao&&this.boundProgram===e&&this.boundLayoutVertexBuffer===r&&!l&&this.boundIndexBuffer===i&&this.boundVertexOffset===a&&this.boundDynamicVertexBuffer===o&&this.boundDynamicVertexBuffer2===s?(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind()):this.freshBind(e,r,n,i,a,o,s)},xr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},xr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var br=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ge.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ge.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function _r(t,e,r){var n=1/he(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}br.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new xr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var wr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Tr=function(e,r,n,i,a,o,s){return t.extend(wr(e,r,n,i),_r(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},kr=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(kr(e),_r(n,r,i))},Ar=function(t,e){return{u_matrix:t,u_world:e}},Sr=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Er=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=he(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=he(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Lr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Pr=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:he(e,1,r),u_intensity:n}},Or=function(e,r,n){var i=e.transform;return{u_matrix:Nr(e,r,n),u_ratio:1/he(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Dr=function(e,r,n){return t.extend(Or(e,r,n),{u_image:0})},Rr=function(e,r,n,i){var a=e.transform,o=Br(r,a);return{u_matrix:Nr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/he(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Fr=function(e,r,n,i,a){var o=e.lineAtlas,s=Br(r,e.transform),l=\"round\"===n.layout.get(\"line-cap\"),c=o.getDash(i.from,l),u=o.getDash(i.to,l),f=c.width*a.fromScale,h=u.width*a.toScale;return t.extend(Or(e,r,n),{u_patternscale_a:[s/f,-c.height/2],u_patternscale_b:[s/h,-u.height/2],u_sdfgamma:o.width/(256*Math.min(f,h)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:u.y,u_mix:a.t})};function Br(t,e){return 1/he(t,1,e.tileZoom)}function Nr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var jr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Ur(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ur(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Vr,qr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Hr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(qr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Gr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Hr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Yr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Wr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/he(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Xr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Zr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var M=0,A=0,S=f;A<S.length;A+=1)for(var E=S[A],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(M++,I,P,z,O,0),k.emplace(M++,I,P,z,O,1),k.emplace(M++,I,P,z,O,2),k.emplace(M++,I,P,z,O,3)}(!Vr||Vr.length<2*h)&&(Vr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Vr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Lr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Jr=t.identity(new Float32Array(16));function Kr(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function Qr(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=v.hidden||!v.crossTileID||e.allowVerticalPlacement&&!v.placedOrientation?null:i[v.crossTileID];if(y){var x=new t.Point(v.anchorX,v.anchorY),b=$t(x,n?l:s),_=te(o.cameraToCenterDistance,b.signedDistanceFromCamera),w=a.evaluateSizeForFeature(e.textSizeData,u,v)*_/t.ONE_EM;n&&(w*=e.tilePixelRatio/c);for(var T=Kr(y.anchor,y.width,y.height,y.textOffset,y.textBoxScale,w),k=n?$t(x.add(T),s).point:b.point.add(r?T.rotate(-o.angle):T),M=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,A=0;A<v.numGlyphs;A++)t.addDynamicAttributes(p,k,M);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:k,angle:M})}else ce(v.numGlyphs,p)}if(f){d.clear();for(var S=e.icon.placedSymbolArray,E=0;E<S.length;E++){var C=S.get(E);if(C.hidden)ce(C.numGlyphs,d);else{var L=g[E];if(L)for(var I=0;I<C.numGlyphs;I++)t.addDynamicAttributes(d,L.shiftedAnchor,L.angle);else ce(C.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function $r(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function tn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,M=i;k<M.length;k+=1){var A=M[k],S=r.getTile(A),E=S.getBucket(n);if(E){var C=a?E.text:E.icon;if(C&&C.segments.get().length){var L=C.programConfigurations.get(n.id),I=a||E.sdfIcons,P=a?E.textSizeData:E.iconSizeData,z=v||0!==g.pitch,O=e.useProgram($r(I,a,E),L),D=t.evaluateSizeForZoom(P,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a)B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText&&(F=S.imageAtlasTexture.size,j=S.imageAtlasTexture,U=z||e.options.rotating||e.options.zooming||\"composite\"===P.kind||\"camera\"===P.kind?d.LINEAR:d.NEAREST);else{var V=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=I||e.options.rotating||e.options.zooming||V||z?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=he(S,1,e.transform.zoom),H=Kt(A.posMatrix,v,m,e.transform,q),G=Qt(A.posMatrix,v,m,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();y&&re(E,A.posMatrix,e,a,H,G,v,u);var X=e.translatePosMatrix(A.posMatrix,S,o,s),Z=y||a&&w||W?Jr:H,J=e.translatePosMatrix(G,S,o,s,!0),K=I&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:O,buffers:C,uniformValues:I?E.iconsInText?Gr(P.kind,D,x,v,e,X,Z,J,R,F):Hr(P.kind,D,x,v,e,X,Z,J,a,R,!0):qr(P.kind,D,x,v,e,X,Z,J,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:I,hasHalo:K};if(b)for(var $=0,tt=C.segments.get();$<tt.length;$+=1){var et=tt[$];T.push({segments:new t.SegmentVector([et]),sortKey:et.sortKey,state:Q})}else T.push({segments:C.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var rt=0,nt=T;rt<nt.length;rt+=1){var it=nt[rt],at=it.state;if(p.activeTexture.set(d.TEXTURE0),at.atlasTexture.bind(at.atlasInterpolation,d.CLAMP_TO_EDGE),at.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),at.atlasTextureIcon&&at.atlasTextureIcon.bind(at.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),at.isSDF){var ot=at.uniformValues;at.hasHalo&&(ot.u_is_halo=1,en(at.buffers,it.segments,n,e,at.program,_,f,h,ot)),ot.u_is_halo=0}en(at.buffers,it.segments,n,e,at.program,_,f,h,at.uniformValues)}}function en(t,e,r,n,i,a,o,s,l){var c=n.context;i.draw(c,c.gl.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function rn(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,M=k.patternPositions[T.to.toString()],A=k.patternPositions[T.from.toString()];M&&A&&_.setConstantPatternPositions(M,A)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Sr(S,t,g,x,E):Ar(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):kr(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function nn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),M=r.paint.get(\"fill-extrusion-vertical-gradient\"),A=u?Tr(k,t,M,h,g,f,m):wr(k,t,M,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,A,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function an(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.fbo;if(c){var u=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}}(e,r,n);u.draw(s,l.TRIANGLES,i,a,o,Et.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function on(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function sn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var ln=new t.Color(1,0,0,1),cn=new t.Color(0,1,0,1),un=new t.Color(0,0,1,1),fn=new t.Color(1,0,1,1),hn=new t.Color(0,1,1,1);function pn(t,e,r,n){gn(t,0,e+r/2,t.transform.width,r,n)}function dn(t,e,r,n){gn(t,e-r/2,0,r,t.transform.height,n)}function gn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function mn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=At.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=Math.floor((f&&f.byteLength||0)/1024),p=r.getTile(n).tileSize,d=512/Math.min(p,512)*(n.overscaledZ/e.transform.zoom)*.5,g=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(g+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,g+\" \"+h+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,d),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var vn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=At.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=t.evaluateSizeForZoom(g.textSizeData,l.zoom),v=he(d,1,r.transform.zoom),y=Kt(p.posMatrix,u,c,r.transform,v),x=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(m){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);Qr(g,c,u,s,t.symbolSize,l,y,p.posMatrix,b,m,x)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&tn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&tn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Zr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Zr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Er(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,M=d;k<M.length;k+=1){var A=M[k],S=A.state;S.program.draw(c,u.TRIANGLES,f,h,p,Et.disabled,S.uniformValues,n.id,S.layoutVertexBuffer,S.indexBuffer,A.segments,n.paint,e.transform.zoom,S.programConfiguration)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=At.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id);e.useProgram(\"heatmap\",p).draw(a,o.TRIANGLES,Mt.disabled,s,l,Et.disabled,zr(u.posMatrix,f,e.transform.zoom,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:0,u_color_ramp:1,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,k),S=v||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas,L=C.patternPositions[E.to.toString()],I=C.patternPositions[E.from.toString()];L&&I&&k.setConstantPatternPositions(L,I)}var P=f?Rr(e,w,n,p):c?Fr(e,w,n,c,p):h?Dr(e,w,n):Or(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),A.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);rn(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);rn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))nn(t,e,r,n,a,At.disabled,St.disabled),nn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();nn(t,e,r,n,a,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?on(t,p,r,a,o,At.disabled,s):\"translucent\"===t.renderPass&&an(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof P?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=sn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var M=jr(x,T||[0,0],w||1,_,r);o instanceof P?s.draw(i,a.TRIANGLES,v,At.disabled,l,Et.disabled,M,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,M,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=At.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Wr(b,i,t,c,{tileID:x,tileSize:l},m):Yr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)mn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},yn=function(t,e){this.context=new Ct(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Lt.maxUnderzooming+Lt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Be,this.gpuTimers={}};yn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1)this.style._layers[i[n]].resize()},yn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,He.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,He.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,I.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,He.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},yn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Pr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},yn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Pr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},yn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},yn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new At({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=At.disabled,e),n]},yn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},yn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},yn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},yn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++)if(this.style._layers[i[g]].is3D()){this.opaquePassCutoff=g;break}this.renderPass=\"offscreen\";for(var m=0,v=i;m<v.length;m+=1){var y=this.style._layers[v[m]];if(y.hasOffscreenPass()&&!y.isHidden(this.transform.zoom)){var x=f[y.source];(\"custom\"===y.type||x.length)&&this.renderLayer(this,a[y.source],y,x)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var b=this.style._layers[i[this.currentLayer]],_=a[b.source],w=u[b.source];this._renderTileClippingMasks(b,w),this.renderLayer(this,_,b,w)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var T=this.style._layers[i[this.currentLayer]],k=a[T.source],M=(\"symbol\"===T.type?h:f)[T.source];this._renderTileClippingMasks(T,u[T.source]),this.renderLayer(this,k,T,M)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&vn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&function(t){var e=t.transform.padding;pn(t,t.transform.height-(e.top||0),3,ln),pn(t,e.bottom||0,3,cn),dn(t,e.left||0,3,un),dn(t,t.transform.width-(e.right||0),3,fn);var r=t.transform.centerPoint;!function(t,e,r,n){gn(t,e-1,r-10,2,20,n),gn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,hn)}(this),this.context.setDefault()},yn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),vn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},yn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},yn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},yn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},yn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},yn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:he(r,n[0],this.transform.zoom),a?n[1]:he(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},yn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},yn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},yn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},yn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new br(this.context,yr[t],e,Xr[t],this._showOverdrawInspector)),this.cache[r]},yn.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()},yn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},yn.prototype.initDebugOverlayCanvas=function(){null==this.debugOverlayCanvas&&(this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512,this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,this.context.gl.RGBA))},yn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var xn=function(t,e){this.points=t,this.planes=e};xn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new xn(a,o)};var bn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};bn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new bn(n,i)},bn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},bn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},bn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var _n=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};_n.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},_n.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},_n.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},_n.prototype.clone=function(){return new _n(this.top,this.bottom,this.left,this.right)},_n.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var wn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new _n,this._posMatrixCache={},this._alignedPosMatrixCache={}},Tn={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}};wn.prototype.clone=function(){var t=new wn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Tn.minZoom.get=function(){return this._minZoom},Tn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Tn.maxZoom.get=function(){return this._maxZoom},Tn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Tn.minPitch.get=function(){return this._minPitch},Tn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Tn.maxPitch.get=function(){return this._maxPitch},Tn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Tn.renderWorldCopies.get=function(){return this._renderWorldCopies},Tn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Tn.worldSize.get=function(){return this.tileSize*this.scale},Tn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Tn.size.get=function(){return new t.Point(this.width,this.height)},Tn.bearing.get=function(){return-this.angle/Math.PI*180},Tn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Tn.pitch.get=function(){return this._pitch/Math.PI*180},Tn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Tn.fov.get=function(){return this._fov/Math.PI*180},Tn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Tn.zoom.get=function(){return this._zoom},Tn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Tn.center.get=function(){return this._center},Tn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Tn.padding.get=function(){return this._edgeInsets.toJSON()},Tn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Tn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},wn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},wn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},wn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},wn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},wn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=xn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new bn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_));if(g.zoom===h||w>3+(1<<h-g.zoom)-2&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var T=0;T<4;T++){var k=(m<<1)+T%2,M=(v<<1)+(T>>1);u.push({aabb:g.aabb.quadrant(T),zoom:g.zoom+1,x:k,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},wn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Tn.unmodified.get=function(){return this._unmodified},wn.prototype.zoomScale=function(t){return Math.pow(2,t)},wn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},wn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},wn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Tn.point.get=function(){return this.project(this.center)},wn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},wn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},wn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},wn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},wn.prototype.coordinateLocation=function(t){return t.toLngLat()},wn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[1]/i,s=n[1]/a,l=r[2]/i,c=n[2]/a,u=l===c?0:(0-l)/(c-l);return new t.MercatorCoordinate(t.number(r[0]/i,n[0]/a,u)/this.worldSize,t.number(o,s,u)/this.worldSize)},wn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},wn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},wn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},wn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},wn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},wn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},wn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},wn.prototype._calcMatrices=function(){if(this.height){var e=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var r=Math.PI/2+this._pitch,n=this._fov*(.5+e.y/this.height),i=Math.sin(n)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-r-n,.01,Math.PI-.01)),a=this.point,o=a.x,s=a.y,l=1.01*(Math.cos(Math.PI/2-this._pitch)*i+this.cameraToCenterDistance),c=this.height/50,u=new Float64Array(16);t.perspective(u,this._fov,this.width/this.height,c,l),u[8]=2*-e.x/this.width,u[9]=2*e.y/this.height,t.scale(u,u,[1,-1,1]),t.translate(u,u,[0,0,-this.cameraToCenterDistance]),t.rotateX(u,u,this._pitch),t.rotateZ(u,u,this.angle),t.translate(u,u,[-o,-s,0]),this.mercatorMatrix=t.scale([],u,[this.worldSize,this.worldSize,this.worldSize]),t.scale(u,u,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=u,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,h=this.height%2/2,p=Math.cos(this.angle),d=Math.sin(this.angle),g=o-Math.round(o)+p*f+d*h,m=s-Math.round(s)+p*h+d*f,v=new Float64Array(u);if(t.translate(v,v,[g>.5?g-1:g,m>.5?m-1:m,0]),this.alignedProjMatrix=v,u=t.create(),t.scale(u,u,[this.width/2,-this.height/2,1]),t.translate(u,u,[1,-1,0]),this.labelPlaneMatrix=u,u=t.create(),t.scale(u,u,[1,-1,1]),t.translate(u,u,[-1,-1,0]),t.scale(u,u,[2/this.width,2/this.height,1]),this.glCoordMatrix=u,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(u=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=u,this._posMatrixCache={},this._alignedPosMatrixCache={}}},wn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},wn.prototype.getCameraPoint=function(){var e=Math.tan(this._pitch)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,e))},wn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(wn.prototype,Tn);var kn=function(e){var r,n,i,a;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=!1,i=null,a=function(){i=null,n&&(r(),i=setTimeout(a,300),n=!1)},function(){return n=!0,i||a(),i})};kn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},kn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},kn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},kn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},kn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},kn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Mn={linearity:.3,easing:t.bezier(0,0,.3,1)},An=t.extend({deceleration:2500,maxSpeed:1400},Mn),Sn=t.extend({deceleration:20,maxSpeed:1400},Mn),En=t.extend({deceleration:1e3,maxSpeed:360},Mn),Cn=t.extend({deceleration:1e3,maxSpeed:90},Mn),Ln=function(t){this._map=t,this.clear()};function In(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Pn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Ln.prototype.clear=function(){this._inertiaBuffer=[]},Ln.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Ln.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Ln.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Pn(r.pan.mag(),o,t.extend({},An,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,In(s,l)}if(r.zoom){var c=Pn(r.zoom,o,Sn);s.zoom=this._map.transform.zoom+c.amount,In(s,c)}if(r.bearing){var u=Pn(r.bearing,o,En);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),In(s,u)}if(r.pitch){var f=Pn(r.pitch,o,Cn);s.pitch=this._map.transform.pitch+f.amount,In(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var zn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),On=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Dn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Rn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Rn.prototype.reset=function(){delete this._mousedownPos},Rn.prototype.wheel=function(t){return this._firePreventable(new Dn(t.type,this._map,t))},Rn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseup=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.dblclick=function(t){return this._firePreventable(new zn(t.type,this._map,t))},Rn.prototype.mouseover=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.mouseout=function(t){this._map.fire(new zn(t.type,this._map,t))},Rn.prototype.touchstart=function(t){return this._firePreventable(new On(t.type,this._map,t))},Rn.prototype.touchmove=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchend=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype.touchcancel=function(t){this._map.fire(new On(t.type,this._map,t))},Rn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Rn.prototype.isEnabled=function(){return!0},Rn.prototype.isActive=function(){return!1},Rn.prototype.enable=function(){},Rn.prototype.disable=function(){};var Fn=function(t){this._map=t};Fn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Fn.prototype.mousemove=function(t){this._map.fire(new zn(t.type,this._map,t))},Fn.prototype.mousedown=function(){this._delayContextMenu=!0},Fn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new zn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Fn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new zn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Fn.prototype.isEnabled=function(){return!0},Fn.prototype.isActive=function(){return!1},Fn.prototype.enable=function(){},Fn.prototype.disable=function(){};var Bn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Nn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Bn.prototype.isEnabled=function(){return!!this._enabled},Bn.prototype.isActive=function(){return!!this._active},Bn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Bn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Bn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Bn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Bn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Bn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Bn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Bn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var jn=function(t){this.reset(),this.numTouches=t.numTouches};jn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},jn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1)r._add(i[n]);return r.div(e.length)}(r),this.touches=Nn(n,r)))},jn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Nn(r,e);for(var i in this.touches){var a=n[i];(!a||a.dist(this.touches[i])>30)&&(this.aborted=!0)}}},jn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Un=function(t){this.singleTap=new jn(t),this.numTaps=t.numTaps,this.reset()};Un.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Un.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Un.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Un.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Vn=function(){this._zoomIn=new Un({numTouches:1,numTaps:2}),this._zoomOut=new Un({numTouches:2,numTaps:1}),this.reset()};Vn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Vn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Vn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Vn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Vn.prototype.touchcancel=function(){this.reset()},Vn.prototype.enable=function(){this._enabled=!0},Vn.prototype.disable=function(){this._enabled=!1,this.reset()},Vn.prototype.isEnabled=function(){return this._enabled},Vn.prototype.isActive=function(){return this._active};var qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},qn.prototype._correctButton=function(t,e){return!1},qn.prototype._move=function(t,e){return{}},qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},qn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},qn.prototype.enable=function(){this._enabled=!0},qn.prototype.disable=function(){this._enabled=!1,this.reset()},qn.prototype.isEnabled=function(){return this._enabled},qn.prototype.isActive=function(){return this._active};var Hn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(qn),Gn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Yn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(qn),Wn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Wn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Wn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Wn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Wn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Wn.prototype.touchcancel=function(){this.reset()},Wn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Nn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(){this.reset()};function Zn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function Jn(t,e){return Math.log(t/e)/Math.LN2}Xn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Xn.prototype._start=function(t){},Xn.prototype._move=function(t,e,r){return{}},Xn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Xn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[1],a=Zn(r,e,n[0]),o=Zn(r,e,i);if(a&&o){var s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}}},Xn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[1],o=Zn(n,e,i[0]),s=Zn(n,e,a);o&&s||(this._active&&r.suppressClick(),this.reset())}},Xn.prototype.touchcancel=function(){this.reset()},Xn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Xn.prototype.disable=function(){this._enabled=!1,this.reset()},Xn.prototype.isEnabled=function(){return this._enabled},Xn.prototype.isActive=function(){return this._active};var Kn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(Jn(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:Jn(this._distance,r),pinchAround:e}},e}(Xn);function Qn(t,e){return 180*t.angleWith(e)/Math.PI}var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:Qn(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=Qn(t,this._startVector);return Math.abs(r)<e},e}(Xn);function ti(t){return Math.abs(t.y)>Math.abs(t.x)}var ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ti(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ti(t)&&ti(e)&&a}},e}(Xn),ri={panStep:100,bearingStep:15,pitchStep:10},ni=function(){var t=ri;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ii(t){return t*(2-t)}ni.prototype.reset=function(){this._active=!1},ni.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:ii,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ai=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};ai.prototype.setZoomRate=function(t){this._defaultZoomRate=t},ai.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},ai.prototype.isEnabled=function(){return!!this._enabled},ai.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},ai.prototype.isZooming=function(){return!!this._zooming},ai.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},ai.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},ai.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},ai.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},ai.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},ai.prototype.renderFrame=function(){return this._onScrollFrame()},ai.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},ai.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},ai.prototype.reset=function(){this._active=!1};var oi=function(t,e){this._clickZoom=t,this._tapZoom=e};oi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},oi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},oi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},oi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var si=function(){this.reset()};si.prototype.reset=function(){this._active=!1},si.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},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 li=function(){this._tap=new Un({numTouches:1,numTaps:1}),this.reset()};li.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},li.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},li.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},li.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},li.prototype.touchcancel=function(){this.reset()},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};ci.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},ci.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},ci.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},ci.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var ui=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};ui.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},ui.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},ui.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},ui.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var fi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};fi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},fi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},fi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},fi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},fi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},fi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var hi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},pi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),(e.prototype=Object.create(t&&t.prototype)).constructor=e,e}(t.Event);function di(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var gi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Ln(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0];r.addEventListener(l,s[1],l===t.window.document?this.handleWindowEvent:this.handleEvent,s[2])}};gi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0];r.removeEventListener(a,i[1],a===t.window.document?this.handleWindowEvent:this.handleEvent,i[2])}},gi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Rn(e,t));var n=e.boxZoom=new Bn(e,t);this._add(\"boxZoom\",n);var i=new Vn,a=new si;e.doubleClickZoom=new oi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new li;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ei;this._add(\"touchPitch\",s);var l=new Gn(t),c=new Yn(t);e.dragRotate=new ui(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Hn(t),f=new Wn(t);e.dragPan=new ci(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new $n,p=new Kn;e.touchZoomRotate=new fi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new ai(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new ni;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new Fn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},gi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},gi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},gi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},gi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},gi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},gi.prototype.isMoving=function(){return Boolean(hi(this._eventsInProgress))||this.isZooming()},gi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},gi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},gi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r];this._el.contains(i.target)&&e.push(i)}return e},gi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||di(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||di(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},gi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},gi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},gi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!di(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},gi.prototype._fireEvents=function(e,r){var n=this,i=hi(this._eventsInProgress),a=hi(e),o={};for(var s in e)this._eventsInProgress[s]||(o[s+\"start\"]=e[s].originalEvent),this._eventsInProgress[s]=e[s];for(var l in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(l,o[l]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e)this._fireEvent(c,e[c].originalEvent);var u,f={};for(var h in this._eventsInProgress){var p=this._eventsInProgress[h],d=p.handlerName,g=p.originalEvent;this._handlersById[d].isActive()||(delete this._eventsInProgress[h],f[h+\"end\"]=u=r[d]||g)}for(var m in f)this._fireEvent(m,f[m]);var v=hi(this._eventsInProgress);if((i||a)&&!v){this._updatingCamera=!0;var y=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),x=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};y?(x(y.bearing||this._map.getBearing())&&(y.bearing=0),this._map.easeTo(y,{originalEvent:u})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:u})),x(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},gi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},gi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new pi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var mi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),(r.prototype=Object.create(e&&e.prototype)).constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=new t.Point(x.x+(i.padding.left-i.padding.right)/2,x.y+(i.padding.top-i.padding.bottom)/2).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(b)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var M=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),A=w/a.zoomScale(M-o);_=Math.sqrt(A/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+_*t)},z=function(t){return w*((L(I)*(C(e=I+_*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/_;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/_,z=function(){return 0},P=function(t){return Math.exp(D*_*t)}}return e.duration=\"duration\"in e?+e.duration:1e3*O/(\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed),e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),vi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};vi.prototype.getDefaultPosition=function(){return\"bottom-right\"},vi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},vi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},vi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},vi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},vi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},vi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var yi=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};yi.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},yi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},yi.prototype.getDefaultPosition=function(){return\"bottom-left\"},yi.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},yi.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},yi.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var xi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};xi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},xi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},xi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},xi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var bi={\"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\"},_i=t.window.HTMLImageElement,wi=t.window.HTMLElement,Ti=t.window.ImageBitmap,ki={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,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},Mi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},ki,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new wn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new xi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},bi,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof wi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new gi(this,e),this._hash=e.hash&&new kn(\"string\"==typeof e.hash&&e.hash||void 0).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new vi({customAttribution:e.customAttribution})),this.addControl(new yi,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),(i.prototype=Object.create(n&&n.prototype)).constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new zn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new zn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new zn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;return void 0===r?n.prototype.off.call(this,t,e):(this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this)},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\". Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;if(this._lazyInitEmptyStyle(),r instanceof _i||Ti&&r instanceof Ti){var c=t.browser.getImageData(r);this.style.addImage(e,{data:new t.RGBAImage({width:c.width,height:c.height},c.data),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r;this.style.addImage(e,{data:new t.RGBAImage({width:r.width,height:r.height},new Uint8Array(r.data)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:u}),u.onAdd&&u.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof _i||Ti&&r instanceof Ti?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;return void 0===a||void 0===o?this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\"))):a!==n.data.width||o!==n.data.height?this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\"))):(n.data.replace(s,!(r instanceof _i||Ti&&r instanceof Ti)),void this.style.updateImage(e,n))},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new yn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ai(this._canvasContainer),Ai(this._controlContainer),Ai(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(mi);function Ai(t){t.parentNode&&t.parentNode.removeChild(t)}var Si={showCompass:!0,showZoom:!0,visualizePitch:!1},Ei=function(e){var n=this;this.options=t.extend({},Si,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Ei.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Ei.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Ei.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ci(this._map,this._compass,this.options.visualizePitch)),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Ei.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Ei.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ci=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Gn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Yn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Li(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ci.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ci.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ci.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ci.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ci.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ci.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ci.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ci.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ci.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ci.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ci.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ii={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 Pi(t,e,r){var n=t.classList;for(var i in Ii)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var zi,Oi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Pi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Li(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ii[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Di={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0},Ri=0,Fi=!1,Bi=function(e){function n(r){e.call(this),this.options=t.extend({},Di,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==zi?n(zi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){n(zi=\"denied\"!==t.state)})):n(zi=!!t.window.navigator.geolocation),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ri=0,Fi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Fi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Oi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Oi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||e.originalEvent&&\"resize\"===e.originalEvent.type||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ri--,Fi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ri>1?(e={maximumAge:6e5,timeout:0},Fi=!0):(e=this.options.positionOptions,Fi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ni={maxWidth:100,unit:\"metric\"},ji=function(e){this.options=t.extend({},Ni,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ui(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?Vi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Vi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Vi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Vi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Vi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Vi(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*(o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o)));t.style.width=e*(s/r)+\"px\",t.innerHTML=s+\" \"+n}ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},ji.prototype._onMove=function(){Ui(this._map,this._container,this.options)},ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},ji.prototype.setUnit=function(t){this.options.unit=t,Ui(this._map,this._container,this.options)};var qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},qi.prototype._isFullscreen=function(){return this._fullscreen},qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Hi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Gi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Hi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),(n.prototype=Object.create(e&&e.prototype)).constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this;if(this._map&&(this._lngLat||this._trackPointer)&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._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=Li(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var i=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),a=this.options.anchor,o=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,Ii[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Pi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented),Yi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Mi,NavigationControl:Ei,GeolocateControl:Bi,AttributionControl:vi,ScaleControl:ji,FullscreenControl:qi,Popup:Gi,Marker:Oi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(Ot)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Ot),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Yi})),r}))},{}],474:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\"convex-hull\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\"convex-hull\":135}],475:[function(t,e,r){var n=t(\"./normalize\"),i=t(\"gl-mat4/create\"),a=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,M=u[3],A=u[7],S=u[11],E=u[12],C=u[13],L=u[14],I=u[15];if(0!==M||0!==A||0!==S){if(h[0]=M,h[1]=A,h[2]=S,h[3]=I,!s(f,f))return!1;l(f,f),y=m,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=C,e[2]=L,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var P=0;P<3;P++)r[P]*=-1,p[P][0]*=-1,p[P][1]*=-1,p[P][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":476,\"gl-mat4/clone\":278,\"gl-mat4/create\":280,\"gl-mat4/determinant\":281,\"gl-mat4/invert\":293,\"gl-mat4/transpose\":306,\"gl-vec3/cross\":365,\"gl-vec3/dot\":370,\"gl-vec3/length\":380,\"gl-vec3/normalize\":387}],476:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],477:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),i=t(\"mat4-recompose\"),a=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function h(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,f){if(0===o(e)||0===o(r))return!1;var h=a(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=a(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!h||!p)&&(n(u.translate,l.translate,c.translate,f),n(u.skew,l.skew,c.skew,f),n(u.scale,l.scale,c.scale,f),n(u.perspective,l.perspective,c.perspective,f),s(u.quaternion,l.quaternion,c.quaternion,f),i(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),!0)}},{\"gl-mat4/determinant\":281,\"gl-vec3/lerp\":381,\"mat4-decompose\":475,\"mat4-recompose\":478,\"quat-slerp\":527}],478:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},i=(n.create(),n.create());e.exports=function(t,e,r,a,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\"gl-mat4/create\":280,\"gl-mat4/fromRotationTranslation\":284,\"gl-mat4/identity\":291,\"gl-mat4/multiply\":295,\"gl-mat4/scale\":303,\"gl-mat4/translate\":305}],479:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],480:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"mat4-interpolate\"),a=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),f=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),h=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.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]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],h=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)h[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&h[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=h[c];else i(o,h,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],f(g,g);var m=this.computedInverse;a(m,o);var v=this.computedEye,y=m[15];v[0]=m[12]/y,v[1]=m[13]/y,v[2]=m[14]/y;var 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- "/*\n",
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- " * @license MIT\n",
- " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
- " */\n",
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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":70,\"color-normalize\":125,\"flatten-vertex-data\":244,\"object-assign\":499,\"pick-by-alias\":511,\"to-float32\":577,\"update-diff\":599}],535:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function m(t,e){if(!(this instanceof m))return new m(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=m.shaders.has(t)?m.shaders.get(t):m.shaders.set(t,m.createShaders(t)).get(t),this.update(e)}e.exports=m,m.dashMult=2,m.maxPatternLength=256,m.precisionThreshold=3e6,m.maxPoints=1e4,m.maxLines=2048,m.shaders=new d,m.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n vec2 adjustedScale;\\n adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) < length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) < length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x) / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n + positionFract * scale + translateFract\\n + position * scaleFract\\n + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},m.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},m.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},m.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>m.precisionThreshold||e.scale[1]*e.viewport.height>m.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=m.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},m.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},m.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<m.maxLines&&(d.depth=2*(m.maxLines-1-f%m.maxLines)/m.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,y;if(t.positions.x&&t.positions.y){var x=t.positions.x,b=t.positions.y;y=d.count=Math.max(x.length,b.length),v=new Float64Array(2*y);for(var _=0;_<y;_++)v[2*_]=x[_],v[2*_+1]=b[_]}else v=l(t.positions,\"float64\"),y=d.count=Math.floor(v.length/2);var w=d.bounds=i(v,2);if(d.fill){for(var T=[],k={},M=0,A=0,S=0,E=d.count;A<E;A++){var 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U,V=0;if(!t.dashes||t.dashes.length<2)V=1,U=new Uint8Array([255,255,255,255,255,255,255,255]);else{V=0;for(var q=0;q<t.dashes.length;++q)V+=t.dashes[q];U=new Uint8Array(V*m.dashMult);for(var H=0,G=255,Y=0;Y<2;Y++)for(var W=0;W<t.dashes.length;++W){for(var X=0,Z=t.dashes[W]*m.dashMult*.5;X<Z;++X)U[H++]=G;G^=255}}d.dashLength=V,d.dashTexture({channels:1,data:U,width:U.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var J=d.count,K=t.color;K||(K=\"transparent\");var Q=new Uint8Array(4*J+4);if(Array.isArray(K)&&\"number\"!=typeof K[0]){for(var $=0;$<J;$++){var tt=n(K[$],\"uint8\");Q.set(tt,4*$)}Q.set(n(K[0],\"uint8\"),4*J)}else for(var et=n(K,\"uint8\"),rt=0;rt<J+1;rt++)Q.set(et,4*rt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:Q})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],y=0;y<this.passes.length;y++)null!==this.passes[y]&&v.push(this.passes[y]);return this.passes=v,this}},m.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},{\"array-bounds\":70,\"array-normalize\":71,\"color-normalize\":125,earcut:177,\"es6-weak-map\":233,\"flatten-vertex-data\":244,glslify:536,\"object-assign\":499,\"parse-rect\":504,\"pick-by-alias\":511,\"to-float32\":577}],536:[function(t,e,r){arguments[4][257][0].apply(r,arguments)},{dup:257}],537:[function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){if(\"undefined\"==typeof Symbol||!(Symbol.iterator in Object(t)))return;var r=[],n=!0,i=!1,a=void 0;try{for(var o,s=t[Symbol.iterator]();!(n=(o=s.next()).done)&&(r.push(o.value),!e||r.length!==e);n=!0);}catch(t){i=!0,a=t}finally{try{n||null==s.return||s.return()}finally{if(i)throw a}}return 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s=t(\"color-normalize\"),l=t(\"array-bounds\"),c=t(\"color-id\"),u=t(\"@plotly/point-cluster\"),f=t(\"object-assign\"),h=t(\"glslify\"),p=t(\"pick-by-alias\"),d=t(\"update-diff\"),g=t(\"flatten-vertex-data\"),m=t(\"is-iexplorer\"),v=t(\"to-float32\"),y=t(\"parse-rect\"),x=b;function b(t,e){var r=this;if(!(this instanceof b))return new b(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),f(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,pixelRatio:t.context(\"pixelRatio\"),palette:n,paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),opacity:t.prop(\"opacity\"),marker:t.prop(\"markerTexture\")},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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vec2 position = vec2(x, y);\\n vec2 positionFract = vec2(xFract, yFract);\\n\\n vec4 color = getColor(colorId);\\n vec4 borderColor = getColor(borderColorId);\\n\\n float size = size * maxSize / 255.;\\n float borderSize = borderSize * maxSize / 255.;\\n\\n gl_PointSize = 2. * size * pointSizeScale;\\n fragPointSize = size * pixelRatio;\\n\\n vec2 pos = (position + translate) * scale\\n + (positionFract + translateFract) * scale\\n + (position + translate) * scaleFract\\n + (positionFract + translateFract) * scaleFract;\\n\\n gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n fragColor = color;\\n fragBorderColor = borderColor;\\n fragWidth = 1. / gl_PointSize;\\n\\n fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform bool constPointSize;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n return isDirect ? id / 255. : texture2D(palette,\\n vec2(\\n (id.x + .5) / paletteSize.x,\\n (id.y + .5) / paletteSize.y\\n )\\n );\\n}\\n\\nvoid main() {\\n // ignore inactive points\\n if (isActive == 0.) return;\\n\\n vec2 position = vec2(x, y);\\n vec2 positionFract = vec2(xFract, yFract);\\n\\n vec4 color = getColor(colorId);\\n vec4 borderColor = getColor(borderColorId);\\n\\n float size = size * maxSize / 255.;\\n float borderSize = borderSize * maxSize / 255.;\\n\\n gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n vec2 pos = (position + translate) * scale\\n + (positionFract + translateFract) * scale\\n + (position + translate) * scaleFract\\n + (positionFract + translateFract) * scaleFract;\\n\\n gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n fragColor = color;\\n fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.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},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width 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t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}return i({data:v.float(t),usage:\"dynamic\"}),a({data:v.fract(t),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return 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this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return 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u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var M=f(s.id,T,k),A=this.passes[M]||(this.passes[M]={});if(o.data&&(o.transpose?A.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:A.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},A.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var 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r,n=parseInt(e);if(isNaN(n))\"\\u95f0\"===e[0]&&(r=!0,e=e.substring(1)),\"\\u6708\"===e[e.length-1]&&(e=e.substring(0,e.length-1)),n=1+[\"\\u4e00\",\"\\u4e8c\",\"\\u4e09\",\"\\u56db\",\"\\u4e94\",\"\\u516d\",\"\\u4e03\",\"\\u516b\",\"\\u4e5d\",\"\\u5341\",\"\\u5341\\u4e00\",\"\\u5341\\u4e8c\"].indexOf(e);else{var i=e[e.length-1];r=\"i\"===i||\"I\"===i}return this.toMonthIndex(t,n,r)},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(t,e){if(t.year&&(t=t.year()),\"number\"!=typeof t||t<1888||t>2111)throw e.replace(/\\{0\\}/,this.local.name);return t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),f[t-f[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=h[o-h[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var f=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(f/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=f[t-f[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a=i||{}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=f[o.year-f[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++){s+=u&1<<12-d?30:29}var g=h[o.year-h[0]],m=new Date(g>>9&4095,(g>>5&15)-1,(31&g)+s);return a.year=m.getFullYear(),a.month=1+m.getMonth(),a.day=m.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a=n||{}}var o=h[i.year-h[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=h[a.year-h[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=f[a.year-f[0]];for(p=0;p<13;p++){var g=d&1<<12-p?30:29;if(l<g)break;l-=g}var m=d>>13;!m||p<m?(a.isIntercalary=!1,a.month=1+p):p===m?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p);return 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Coptic\",jdEpoch:1825029.5,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(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},{\"../main\":621,\"object-assign\":499}],609:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Discworld\",jdEpoch:1721425.5,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(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":621,\"object-assign\":499}],610:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},{\"../main\":621,\"object-assign\":499}],611:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.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(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},{\"../main\":621,\"object-assign\":499}],612:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,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 as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":621,\"object-assign\":499}],613:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,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(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":621,\"object-assign\":499}],614:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.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(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":621,\"object-assign\":499}],615:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{\"../main\":621,\"object-assign\":499}],616:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":621,\"object-assign\":499}],619:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return a.leapYear(t)},weekOfYear:function(t,e,r){var i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":621,\"object-assign\":499}],620:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"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(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":778,\"../../plot_api/plot_template\":816,\"../../registry\":910}],629:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":778,\"../color\":643}],630:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":804,\"fast-isnumeric\":241}],631:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/cartesian/axes\":827,\"./attributes\":626,\"./common_defaults\":629}],632:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var M=g(t.layout,_,e),A=M.modifyBase,S=M.modifyItem,E=M.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var C=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var L={x:{},y:{}},I=+e.textangle||0,P=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),z=P.append(\"g\").classed(\"annotation-text-g\",!0),O=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||O,R=z.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+C).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",C).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&A(v._name+\".autorange\",!0),x&&x.autorange&&A(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+C).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,M=e.width||b,D=e.height||_,B=Math.round(M+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(I+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=L[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*H($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(M-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?C:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?C:null,t)}V.select(\"rect\").call(u.setRect,N,N,M,D),j.call(u.setRect,F/2,F/2,B-F,q-F),R.call(u.setTranslate,Math.round(L.x.text-B/2),Math.round(L.y.text-q/2)),z.attr({transform:\"rotate(\"+I+\",\"+L.x.text+\",\"+L.y.text+\")\"});var kt,Mt=function(r,n){P.selectAll(\".annotation-arrow-g\").remove();var l=L.x.head,f=L.y.head,h=L.x.tail+r,p=L.y.tail+n,g=L.x.text+r,b=L.y.text+n,_=o.rotationXYMatrix(I,g,b),w=o.apply2DTransform(_),M=o.apply2DTransform2(_),C=+j.attr(\"width\"),O=+j.attr(\"height\"),D=g-.5*C,F=D+C,B=b-.5*O,N=B+O,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(M);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(m(Y,H,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var 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n=t(\"../annotations/attributes\"),i=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../plot_api/plot_template\").templatedArray;e.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},{\"../../plot_api/edit_types\":809,\"../../plot_api/plot_template\":816,\"../annotations/attributes\":626}],636:[function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/cartesian/axes\":827,\"../annotations/common_defaults\":629,\"./attributes\":635}],638:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,i=t(\"../../plots/gl3d/project\"),a=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var 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If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:c,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)c(t,e,r[i]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:h,worldCalFmt:function(t,e,r){for(var 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../../plot_api/plot_template\":816,\"../../plots/animation_attributes\":821,\"../../plots/font_attributes\":855,\"../../plots/pad_attributes\":889,\"./constants\":734}],734:[function(t,e,r){\"use 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T={y:e.y,b:u.height*g[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*g[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*g[b]),i.autoMargin(t,m(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var g=c.lineCount(l),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*p;return 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w=e._anchorAxis;w&&w.autorange&&-1!==(e.ticklabelposition||\"\").indexOf(\"inside\")&&!V(a,e._id)&&(a._insideTickLabelsAutorange||(a._insideTickLabelsAutorange={}),a._insideTickLabelsAutorange[w._name+\".autorange\"]=w.autorange,_.push((function(){v.each((function(t,r){var n=dt(this);e._vals[r].bb=h.bBox(n.node())}))})));var T=s.syncOrAsync(_);return T&&T.then&&t._promises.push(T),T},B.getPxPosition=function(t,e){var r,n=t._fullLayout._size,i=e._id.charAt(0),a=e.side;return\"free\"!==e.anchor?r=e._anchorAxis:\"x\"===i?r={_offset:n.t+(1-(e.position||0))*n.h,_length:0}:\"y\"===i&&(r={_offset:n.l+(e.position||0)*n.w,_length:0}),\"top\"===a||\"left\"===a?r._offset:\"bottom\"===a||\"right\"===a?r._offset+r._length:void 0},B.shouldShowZeroLine=function(t,e,r){var n=s.simpleMap(e.range,e.r2l);return n[0]*n[1]<=0&&e.zeroline&&(\"linear\"===e.type||\"-\"===e.type)&&!(e.rangebreaks&&e.maskBreaks(0)===P)&&(pt(e,0)||!function(t,e,r,n){var i=r._mainAxis;if(!i)return;var 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r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":833,\"has-passive-events\":441,\"mouse-change\":483,\"mouse-event-offset\":484,\"mouse-wheel\":486}],866:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":801,\"../cartesian/axes\":827}],867:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../plot_api/edit_types\":809,\"../cartesian\":840,\"../cartesian/attributes\":825,\"../cartesian/constants\":833,\"../get_data\":864,\"../layout_attributes\":881,\"./scene2d\":868}],868:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var M=k.prototype;M.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},M.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},M.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},M.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},M.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},M.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},M.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},M.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},M.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},M.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},M.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},M.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},M.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},M.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},M.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},M.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},M.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},M.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":661,\"../../components/fx\":683,\"../../lib/show_no_webgl_msg\":799,\"../../plots/cartesian/axes\":827,\"../../registry\":910,\"../cartesian/autorange\":826,\"../cartesian/constants\":833,\"../cartesian/constraints\":834,\"./camera\":865,\"./convert\":866,\"gl-plot2d\":317,\"gl-select-box\":333,\"gl-spikes2d\":342,\"webgl-context\":606}],869:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":684,\"../../constants/xmlns_namespaces\":754,\"../../lib\":778,\"../../plot_api/edit_types\":809,\"../get_data\":864,\"./layout/attributes\":870,\"./layout/defaults\":874,\"./layout/layout_attributes\":875,\"./scene\":879}],870:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],871:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":643,\"../../../lib/extend\":768,\"../../../plot_api/edit_types\":809,\"../../cartesian/layout_attributes\":841}],872:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":778,\"../../../plot_api/plot_template\":816,\"../../cartesian/axis_defaults\":829,\"../../cartesian/type_defaults\":852,\"./axis_attributes\":871,tinycolor2:576}],873:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":778,\"../../../lib/str2rgbarray\":801}],874:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":643,\"../../../lib\":778,\"../../../registry\":910,\"../../get_data\":864,\"../../subplot_defaults\":904,\"./axis_defaults\":872,\"./layout_attributes\":875}],875:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":778,\"../../../lib/extend\":768,\"../../domain\":854,\"./axis_attributes\":871}],876:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":801}],877:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":778,\"../../cartesian/axes\":827}],878:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],879:[function(t,e,r){\"use strict\";var n,i,a=t(\"gl-plot3d\"),o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),m=t(\"./project\"),v=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T)e=!1;else try{f.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(r){b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,e=!1}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),x(e),e.glplot.axes.update(e.axesOptions);for(var c,u=Object.keys(e.traces),d=null,g=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(g)&&(d=t),t.setContourLevels&&t.setContourLevels();function y(t,r){var n=e.fullSceneLayout[t];return h.tickText(n,n.d2l(r),\"hover\").text}if(null!==d){var b=m(e.glplot.cameraParams,g.dataCoordinate);t=d.data;var _,w=r._fullData[t.index],T=g.index,k={xLabel:y(\"xaxis\",g.traceCoordinate[0]),yLabel:y(\"yaxis\",g.traceCoordinate[1]),zLabel:y(\"zaxis\",g.traceCoordinate[2])},M=p.castHoverinfo(w,e.fullLayout,T),A=(M||\"\").split(\"+\"),S=M&&\"all\"===M;w.hovertemplate||S||(-1===A.indexOf(\"x\")&&(k.xLabel=void 0),-1===A.indexOf(\"y\")&&(k.yLabel=void 0),-1===A.indexOf(\"z\")&&(k.zLabel=void 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C={x:g.traceCoordinate[0],y:g.traceCoordinate[1],z:g.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};p.appendArrayPointValue(C,w,T),t._module.eventData&&(C=w._module.eventData(C,g,w,{},T));var L={points:[C]};e.fullSceneLayout.hovermode&&p.loneHover({trace:w,x:(.5+.5*b[0]/b[3])*s,y:(.5-.5*b[1]/b[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:d.name,color:p.castHoverOption(w,T,\"bgcolor\")||d.color,borderColor:p.castHoverOption(w,T,\"bordercolor\"),fontFamily:p.castHoverOption(w,T,\"font.family\"),fontSize:p.castHoverOption(w,T,\"font.size\"),fontColor:p.castHoverOption(w,T,\"font.color\"),nameLength:p.castHoverOption(w,T,\"namelength\"),textAlign:p.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},C,k),eventData:[C]},{container:n,gd:r}),g.buttons&&g.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),c=L}else 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n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&M(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,A=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-A),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+A)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var C=m[1][a]-m[0][a];m[0][a]-=C/32,m[1][a]+=C/32}if(\"reversed\"===s.autorange){var L=m[0][a];m[0][a]=m[1][a],m[1][a]=L}}else{var I=s.range;m[0][a]=s.r2l(I[0]),m[1][a]=s.r2l(I[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var P=c.aspectmode;if(\"cube\"===P)g=[1,1,1];else if(\"manual\"===P){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==P&&\"data\"!==P)throw new Error(\"scene.js aspectRatio was not one 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r=t.visible;return\"undefined\"==typeof r||!0===r})),d=!1,g=p.map((function(t,e){return d=d||\"undefined\"!=typeof t.groupId,t}));if(d){var m=n.nest().key((function(t,e){return\"undefined\"!=typeof t.groupId?t.groupId:\"unstacked\"})).entries(g),v=[],y=m.map((function(t,e){if(\"unstacked\"===t.key)return t.values;var r=t.values[0].r.map((function(t,e){return 0}));return t.values.forEach((function(t,e,n){t.yStack=[r],v.push(r),r=o.util.sumArrays(t.r,r)})),t.values}));p=n.merge(y)}p.forEach((function(t,e){t.t=Array.isArray(t.t[0])?t.t:[t.t],t.r=Array.isArray(t.r[0])?t.r:[t.r]}));var x=Math.min(h.width-h.margin.left-h.margin.right,h.height-h.margin.top-h.margin.bottom)/2;x=Math.max(10,x);var b,_=[h.margin.left+x,h.margin.top+x];d?b=[0,n.max(o.util.sumArrays(o.util.arrayLast(p).r[0],o.util.arrayLast(v)))]:b=n.extent(o.util.flattenArray(p.map((function(t,e){return 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P=n.range.apply(this,C);if(P=P.map((function(t,e){return parseFloat(t.toPrecision(12))})),s=n.scale.linear().domain(C.slice(0,2)).range(\"clockwise\"===h.direction?[0,360]:[360,0]),u.layout.angularAxis.domain=s.domain(),u.layout.angularAxis.endPadding=A?E:0,\"undefined\"==typeof(t=n.select(this).select(\"svg.chart-root\"))||t.empty()){var z=(new DOMParser).parseFromString(\"<svg xmlns='http://www.w3.org/2000/svg' class='chart-root'>' + '<g class='outer-group'>' + '<g class='chart-group'>' + '<circle class='background-circle'></circle>' + '<g class='geometry-group'></g>' + '<g class='radial axis-group'>' + '<circle class='outside-circle'></circle>' + '</g>' + '<g class='angular axis-group'></g>' + '<g class='guides-group'><line></line><circle r='0'></circle></g>' + '</g>' + '<g class='legend-group'></g>' + '<g class='tooltips-group'></g>' + '<g class='title-group'><text></text></g>' + '</g>' + '</svg>\",\"application/xml\"),O=this.appendChild(this.ownerDocument.importNode(z.documentElement,!0));t=n.select(O)}t.select(\".guides-group\").style({\"pointer-events\":\"none\"}),t.select(\".angular.axis-group\").style({\"pointer-events\":\"none\"}),t.select(\".radial.axis-group\").style({\"pointer-events\":\"none\"});var D,R=t.select(\".chart-group\"),F={fill:\"none\",stroke:h.tickColor},B={\"font-size\":h.font.size,\"font-family\":h.font.family,fill:h.font.color,\"text-shadow\":[\"-1px 0px\",\"1px -1px\",\"-1px 1px\",\"1px 1px\"].map((function(t,e){return\" \"+t+\" 0 \"+h.font.outlineColor})).join(\",\")};if(h.showLegend){D=t.select(\".legend-group\").attr({transform:\"translate(\"+[x,h.margin.top]+\")\"}).style({display:\"block\"});var N=p.map((function(t,e){var r=o.util.cloneJson(t);return r.symbol=\"DotPlot\"===t.geometry?t.dotType||\"circle\":\"LinePlot\"!=t.geometry?\"square\":\"line\",r.visibleInLegend=\"undefined\"==typeof 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U=[(h.width-(h.margin.left+h.margin.right+2*x+(j?j.width:0)))/2,(h.height-(h.margin.top+h.margin.bottom+2*x))/2];if(U[0]=Math.max(0,U[0]),U[1]=Math.max(0,U[1]),t.select(\".outer-group\").attr(\"transform\",\"translate(\"+U+\")\"),h.title&&h.title.text){var V=t.select(\"g.title-group text\").style(B).text(h.title.text),q=V.node().getBBox();V.attr({x:_[0]-q.width/2,y:_[1]-x-20})}var H=t.select(\".radial.axis-group\");if(h.radialAxis.gridLinesVisible){var G=H.selectAll(\"circle.grid-circle\").data(r.ticks(5));G.enter().append(\"circle\").attr({class:\"grid-circle\"}).style(F),G.attr(\"r\",r),G.exit().remove()}H.select(\"circle.outside-circle\").attr({r:x}).style(F);var Y=t.select(\"circle.background-circle\").attr({r:x}).style({fill:h.backgroundColor,stroke:h.stroke});function W(t,e){return s(t)%360+h.orientation}if(h.radialAxis.visible){var 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i=o.util.convertToCartesian(x+12,r+180);lt.text(o.util.round(it)).move([i[0]+_[0],i[1]+_[1]])})).on(\"mouseout.angular-guide\",(function(t,e){ot.select(\"line\").style({opacity:0})}))}var ht=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",(function(t,e){var n=o.util.getMousePos(Y).radius;ht.attr({r:n}).style({opacity:.5}),at=r.invert(o.util.getMousePos(Y).radius);var i=o.util.convertToCartesian(n,h.radialAxis.orientation);ct.text(o.util.round(at)).move([i[0]+_[0],i[1]+_[1]])})).on(\"mouseout.radial-guide\",(function(t,e){ht.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()})),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",(function(e,r){var i=n.select(this),a=this.style.fill,s=\"black\",l=this.style.opacity||1;if(i.attr({\"data-opacity\":l}),a&&\"none\"!==a){i.attr({\"data-fill\":a}),s=n.hsl(a).darker().toString(),i.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};k&&(c.t=w[e[0]]);var u=\"t: 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o=n.hsl(a.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",f=i||\"\";e.style({fill:u,\"font-size\":a.fontSize+\"px\"}).text(f);var h=a.padding,p=e.node().getBBox(),d={fill:a.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*h+l,m=p.height+2*h;return r.attr({d:\"M\"+[[l,-m/2],[l,-m/4],[a.hasTick?0:l,0],[l,m/4],[l,m/2],[g,m/2],[g,-m/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-m/2+2*h]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return i(a,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map((function(t,r){var 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s=i({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach((function(t,r){o.util.translator.apply(null,t.concat(e))})),e?(\"undefined\"!=typeof 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e,r,n,i,a=t[0],o=t[1]-a,s=L(a,360),l=s+o,c=Math.cos(I(s)),u=Math.sin(I(s)),f=Math.cos(I(l)),h=Math.sin(I(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(g=f*T))/n.h/2,m=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(g=h,y=(f-(d=h/T))/n.w/2,m=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=g,this.xDomain2=m,this.yDomain2=v;var 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e=m(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+u*r,p-u*n]+\"L\"+[f+a*r,p-a*n]},transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:w,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:function(t){return v(m(t))},labelFns:x})}F(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},O.updateFx=function(t,e){this.gd._context.staticPlot||(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1),this.updateMainDrag(t))},O.updateMainDrag=function(t){var e,r,s=this,c=s.gd,u=s.layers,f=t._zoomlayer,h=S.MINZOOM,p=S.OFFEDGE,d=s.radius,g=s.innerRadius,x=s.cx,T=s.cy,k=s.cxx,M=s.cyy,A=s.sectorInRad,C=s.vangles,L=s.radialAxis,I=E.clampTiny,P=E.findXYatLength,z=E.findEnclosingVertexAngles,O=S.cornerHalfWidth,D=S.cornerLen/2,R=m.makeDragger(u,\"path\",\"maindrag\",\"crosshair\");n.select(R).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(x,T));var F,B,N,j,U,V,q,H,G,Y={element:R,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-k,e-M)}function Z(t,e){return Math.atan2(M-e,t-k)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*O);var r=D/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,d)),o=a-O,l=a+O;return\"M\"+J(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+J(o,i)+\"L\"+J(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+J(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*O);var n,i,a=J(t,e),o=J(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=P(O,u,l,c);n=P(D,f,h[0][0],h[0][1]),i=P(D,f,h[1][0],h[1][1])}else{var p,d;c?(p=D,d=O):(p=O,d=D),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function $(t,e){return e=Math.max(Math.min(e,d),g),t<p?t=0:d-t<p?t=d:e<p?e=0:d-e<p&&(e=d),Math.abs(e-t)>h?(t<e?(N=t,j=e):(N=e,j=t),!0):(N=null,j=null,!1)}function tt(t,e){t=t||U,e=e||\"M0,0Z\",H.attr(\"d\",t),G.attr(\"d\",e),m.transitionZoombox(H,G,V,q),V=!0;var r={};at(r),c.emit(\"plotly_relayouting\",r)}function et(t,n){var i,a,o=F+(t*=e),l=B+(n*=r),c=X(F,B),u=Math.min(X(o,l),d),f=Z(F,B);$(c,u)&&(i=U+s.pathSector(j),N&&(i+=s.pathSector(N)),a=K(N,f)+K(j,f)),tt(i,a)}function rt(t,e,r,n){var i=E.findIntersectionXY(r,n,r,[t-k,M-e]);return W(i[0],i[1])}function nt(t,e){var r,n,i=F+t,a=B+e,o=Z(F,B),l=Z(i,a),c=z(o,C),u=z(l,C);$(rt(F,B,c[0],c[1]),Math.min(rt(i,a,u[0],u[1]),d))&&(r=U+s.pathSector(j),N&&(r+=s.pathSector(N)),n=[Q(N,c[0],c[1]),Q(j,c[0],c[1])].join(\" \")),tt(r,n)}function it(){if(m.removeZoombox(c),null!==N&&null!==j){var t={};at(t),m.showDoubleClickNotifier(c),a.call(\"_guiRelayout\",c,t)}}function at(t){var e=L._rl,r=(e[1]-e[0])/(1-g/d)/d,n=[e[0]+(N-g)*r,e[0]+(j-g)*r];t[s.id+\".radialaxis.range\"]=n}function ot(t,e){var r=c._fullLayout.clickmode;if(m.removeZoombox(c),2===t){var n={};for(var i in s.viewInitial)n[s.id+\".\"+i]=s.viewInitial[i];c.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",c,n)}r.indexOf(\"select\")>-1&&1===t&&_(e,c,[s.xaxis],[s.yaxis],s.id,Y),r.indexOf(\"event\")>-1&&y.click(c,e,s.id)}Y.prepFn=function(t,n,a){var l=c._fullLayout.dragmode,u=R.getBoundingClientRect();c._fullLayout._calcInverseTransform(c);var h=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var p=o.apply3DTransform(h)(n-u.left,a-u.top);if(F=p[0],B=p[1],C){var g=E.findPolygonOffset(d,A[0],A[1],C);F+=k+g[0],B+=M+g[1]}switch(l){case\"zoom\":Y.moveFn=C?nt:et,Y.clickFn=ot,Y.doneFn=it,function(){N=null,j=null,U=s.pathSubplot(),V=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(H=m.makeZoombox(f,q,x,T,U)).attr(\"fill-rule\",\"evenodd\"),G=m.makeCorners(f,x,T),w(c)}();break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},R.onmousemove=function(t){y.hover(c,t,s.id),c._fullLayout._lasthover=R,c._fullLayout._hoversubplot=s.id},R.onmouseout=function(t){c._dragging||v.unhover(c,t)},v.init(Y)},O.updateRadialDrag=function(t,e,r){var i=this,c=i.gd,u=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,g=i.radialAxis,y=S.radialDragBoxSize,x=y/2;if(g.visible){var b,_,T,A=I(i.radialAxisAngle),E=g._rl,C=E[0],L=E[1],z=E[r],O=.75*(E[1]-E[0])/(1-e.hole)/f;r?(b=p+(f+x)*Math.cos(A),_=d-(f+x)*Math.sin(A),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(A),_=d-(h-x)*Math.sin(A),T=\"radialdrag-inner\");var D,B,N,j=m.makeRectDragger(u,T,\"crosshair\",-x,-x,y,y),U={element:j,gd:c};F(n.select(j),g.visible&&h<f,{transform:l(b,_)}),U.prepFn=function(){D=null,B=null,N=null,U.moveFn=V,U.doneFn=q,w(c)},U.clampFn=function(t,e){return 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v=e.gd._fullLayout,y=v[e.id],x=_(A+c*t._invScaleX,E+m*t._invScaleY),b=P(x-z);if(L=C+b,i.frontplot.attr(\"transform\",l(e.xOffset2,e.yOffset2)+s([-b,d,g])),e.vangles){I=e.radialAxisAngle+b;var w=l(h,p)+s(-b),T=l(h,p)+s(-I);i.bg.attr(\"transform\",w),i[\"radial-grid\"].attr(\"transform\",w),i[\"radial-axis\"].attr(\"transform\",T),i[\"radial-line\"].select(\"line\").attr(\"transform\",T),e.updateRadialAxisTitle(v,y,I)}else e.clipPaths.forTraces.select(\"path\").attr(\"transform\",l(d,g)+s(b));D.each((function(){var t=n.select(this),e=u.getTranslate(t);t.attr(\"transform\",l(e.x,e.y)+s([b]))})),R.each((function(){var t=n.select(this),e=t.select(\"text\"),r=u.getTranslate(t);t.attr(\"transform\",s([b,e.attr(\"x\"),e.attr(\"y\")])+l(r.x,r.y))})),f.rotation=o.modHalf(L,360),e.updateAngularAxis(v,y),e._hasClipOnAxisFalse&&!o.isFullCircle(e.sectorInRad)&&O.call(u.hideOutsideRangePoints,e);var S=!1;for(var F in e.traceHash)if(a.traceIs(F,\"gl\")){var 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x={};x[h]=[v/d,(v+1)/d],a(l,e,m,x),o.id=y,f(s,l,m,o)}}},{\"../lib\":778,\"../plot_api/plot_template\":816,\"./domain\":854}],905:[function(t,e,r){\"use strict\";['Variables are inserted using %{variable}, for example \"y: %{y}\".','Numbers are formatted using d3-format\\'s syntax %{variable:d3-format}, for example \"Price: %{y:$.2f}\".',t(\"../constants/docs\").FORMAT_LINK,\"for details on the formatting syntax.\",'Dates are formatted using d3-time-format\\'s syntax %{variable|d3-time-format}, for example \"Day: %{2019-01-01|%A}\".',t(\"../constants/docs\").DATE_FORMAT_LINK,\"for details on the date formatting syntax.\"].join(\" \");function n(t){var e=t.description?\" \"+t.description:\"\",r=t.keys||[];if(r.length>0){for(var n=[],i=0;i<r.length;i++)n[i]=\"`\"+r[i]+\"`\";e+=\"Finally, the template string has access to \",e=1===r.length?\"variable \"+n[0]:\"variables \"+n.slice(0,-1).join(\", \")+\" and \"+n.slice(-1)+\".\"}return e}r.hovertemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"none\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r},r.texttemplateAttrs=function(t,e){t=t||{};n(e=e||{});var r={valType:\"string\",dflt:\"\",editType:t.editType||\"calc\"};return!1!==t.arrayOk&&(r.arrayOk=!0),r}},{\"../constants/docs\":748}],906:[function(t,e,r){\"use strict\";var n=t(\"./ternary\"),i=t(\"../../plots/get_data\").getSubplotCalcData,a=t(\"../../lib\").counterRegex;r.name=\"ternary\";var o=r.attr=\"subplot\";r.idRoot=\"ternary\",r.idRegex=r.attrRegex=a(\"ternary\"),(r.attributes={})[o]={valType:\"subplotid\",dflt:\"ternary\",editType:\"calc\"},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots.ternary,o=0;o<a.length;o++){var s=a[o],l=i(r,\"ternary\",s),c=e[s]._subplot;c||(c=new 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":642,\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../cartesian/layout_attributes\":841,\"../domain\":854}],908:[function(t,e,r){\"use 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n=t(\"d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,p=t(\"../plots\"),d=t(\"../cartesian/axes\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/dragelement/helpers\"),y=v.freeMode,x=v.rectMode,b=t(\"../../components/titles\"),_=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,T=t(\"../cartesian/select\").clearSelect,k=t(\"../cartesian/select\").clearSelectionsCache,M=t(\"../cartesian/constants\");function A(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=A;var S=A.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below 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E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var 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z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-A._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var 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n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../bar/hover\").getTraceColor,o=i.fillText,s=t(\"../scatterpolar/hover\").makeHoverPointText,l=t(\"../../plots/polar/helpers\").isPtInsidePolygon;e.exports=function(t,e,r){var c=t.cd,u=c[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,g=d?l:i.isPtInsideSector,m=t.maxHoverDistance,v=p._period||2*Math.PI,y=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);h.range[0]>h.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return g(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?m+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,f,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 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n=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c(\"labels\"),f=c(\"values\"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),m=c(\"texttemplate\");if(m||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),m||d&&\"none\"!==d){var v=c(\"textposition\");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1167}],1061:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":778,\"./layout_attributes\":1060}],1062:[function(t,e,r){\"use strict\";var 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0===d._deltaLastValue&&(d._deltaLastValue=a(r[0]));var l=C.select(\"text.delta\");function p(){l.text(o(a(r[0]),i)).call(m.fill,s(r[0])).call(f.convertToTspans,t)}return l.call(c.font,d.delta.font).call(m.fill,s({delta:d._deltaLastValue})),b(S)?l.transition().duration(S.duration).ease(S.easing).tween(\"text\",(function(){var t=n.select(this),e=a(r[0]),l=d._deltaLastValue,c=P(d.delta.valueformat,i,l,e),u=n.interpolateNumber(l,e);return d._deltaLastValue=e,function(e){t.text(o(u(e),c)),t.call(m.fill,s({delta:u(e)}))}})).each(\"end\",(function(){p(),E&&E()})).each(\"interrupt\",(function(){p(),E&&E()})):p(),u=k(o(a(r[0]),i),d.delta.font,A,t),l}(),O+=d.delta.position+d.delta.font.size+d.delta.font.family+d.delta.valueformat,O+=d.delta.increasing.symbol+d.delta.decreasing.symbol,p=u);d._hasNumber&&(!function(){var e=w(t,{tickformat:d.number.valueformat},d._range);e.setScale(),h.prepTicks(e);var i=function(t){return h.tickText(e,t).text},a=d.number.suffix,o=d.number.prefix,s=C.select(\"text.number\");function u(){var e=\"number\"==typeof r[0].y?o+i(r[0].y)+a:\"-\";s.text(e).call(c.font,d.number.font).call(f.convertToTspans,t)}b(S)?s.transition().duration(S.duration).ease(S.easing).each(\"end\",(function(){u(),E&&E()})).each(\"interrupt\",(function(){u(),E&&E()})).attrTween(\"text\",(function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);d._lastValue=r[0].y;var s=P(d.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(o+s(e(r))+a)}})):u(),l=k(o+i(r[0].y)+a,d.number.font,A,t)}(),O+=d.number.font.size+d.number.font.family+d.number.valueformat+d.number.suffix+d.number.prefix,p=l);if(d._hasDelta&&d._hasNumber){var D,R,F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=[(u.left+u.right)/2,(u.top+u.bottom)/2],N=.75*d.delta.font.size;\"left\"===d.delta.position&&(D=M(d,\"deltaPos\",0,-1*(l.width*y[d.align]+u.width*(1-y[d.align])+N),O,Math.min),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:u.left+D,right:l.right,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"right\"===d.delta.position&&(D=M(d,\"deltaPos\",0,l.width*(1-y[d.align])+u.width*y[d.align]+N,O,Math.max),R=F[1]-B[1],p={width:l.width+u.width+N,height:Math.max(l.height,u.height),left:l.left,right:u.right+D,top:Math.min(l.top,u.top+R),bottom:Math.max(l.bottom,u.bottom+R)}),\"bottom\"===d.delta.position&&(D=null,R=u.height,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height,bottom:l.bottom+u.height}),\"top\"===d.delta.position&&(D=null,R=l.top,p={width:Math.max(l.width,u.width),height:l.height+u.height,left:Math.min(l.left,u.left),right:Math.max(l.right,u.right),top:l.bottom-l.height-u.height,bottom:l.bottom}),z.attr({dx:D,dy:R})}(d._hasNumber||d._hasDelta)&&C.attr(\"transform\",(function(){var t=s.numbersScaler(p);O+=t[2];var e,r=M(d,\"numbersScale\",1,t[0],O,Math.min);d._scaleNumbers||(r=1),e=d._isAngular?_-r*p.bottom:_-r*(p.top+p.bottom)/2,d._numbersTop=r*p.top+e;var n=p[T];\"center\"===T&&(n=(p.left+p.right)/2);var i=g-r*n;return i=M(d,\"numbersTranslate\",0,i,O,Math.max),o(i,e)+a(r)}))}(t,I,e,{numbersX:p,numbersY:A,numbersScaler:S,transitionOpts:r,onComplete:d}),P&&(E={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},C={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var H=I.selectAll(\"g.angular\").data(z?e:[]);H.exit().remove();var G=I.selectAll(\"g.angularaxis\").data(z?e:[]);G.exit().remove(),z&&function(t,e,r,i){var a,c,u,f,p=r[0].trace,d=i.size,g=i.radius,m=i.innerRadius,v=i.gaugeBg,y=i.gaugeOutline,x=[d.l+d.w/2,d.t+d.h/2+g/2],T=i.gauge,k=i.layer,M=i.transitionOpts,A=i.onComplete,S=Math.PI/2;function E(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-S;return r<-S?-S:r>S?S:r}function C(t){return n.svg.arc().innerRadius((m+g)/2-t/2*(g-m)).outerRadius((m+g)/2+t/2*(g-m)).startAngle(-S)}function L(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()}))}T.enter().append(\"g\").classed(\"angular\",!0),T.attr(\"transform\",o(x[0],x[1])),k.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),k.selectAll(\"g.xangularaxistick,path,text\").remove(),(a=w(t,p.gauge.axis)).type=\"linear\",a.range=p.gauge.axis.range,a._id=\"xangularaxis\",a.setScale();var I=function(t){return(a.range[0]-t.x)/(a.range[1]-a.range[0])*Math.PI+Math.PI},P={},z=h.makeLabelFns(a,0).labelStandoff;P.xFn=function(t){var e=I(t);return Math.cos(e)*z},P.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*l)},P.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},P.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var O=function(t){return o(x[0]+g*Math.cos(t),x[1]-g*Math.sin(t))};u=function(t){return O(I(t))};if(c=h.calcTicks(a),f=h.getTickSigns(a)[2],a.visible){f=\"inside\"===a.ticks?-1:1;var D=(a.linewidth||1)/2;h.drawTicks(t,a,{vals:c,layer:k,path:\"M\"+f*D+\",0h\"+f*a.ticklen,transFn:function(t){var e=I(t);return O(e)+\"rotate(\"+-s(e)+\")\"}}),h.drawLabels(t,a,{vals:c,layer:k,transFn:u,labelFns:P})}var R=[v].concat(p.gauge.steps),F=T.selectAll(\"g.bg-arc\").data(R);F.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),F.select(\"path\").call(L).call(_),F.exit().remove();var B=C(p.gauge.bar.thickness),N=T.selectAll(\"g.value-arc\").data([p.gauge.bar]);N.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var j=N.select(\"path\");b(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){A&&A()})).each(\"interrupt\",(function(){A&&A()})).attrTween(\"d\",(U=B,V=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var U,V,q;j.call(_),N.exit().remove(),R=[];var H=p.gauge.threshold.value;H&&R.push({range:[H,H],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var G=T.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(L).call(_),G.exit().remove();var Y=T.selectAll(\"g.gauge-outline\").data([y]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(L).call(_),Y.exit().remove()}(t,0,e,{radius:N,innerRadius:j,gauge:H,layer:G,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var Y=I.selectAll(\"g.bullet\").data(O?e:[]);Y.exit().remove();var W=I.selectAll(\"g.bulletaxis\").data(O?e:[]);W.exit().remove(),O&&function(t,e,r,n){var i,a,s,l,c,f=r[0].trace,p=n.gauge,d=n.layer,g=n.gaugeBg,v=n.gaugeOutline,y=n.size,x=f.domain,T=n.transitionOpts,k=n.onComplete;p.enter().append(\"g\").classed(\"bullet\",!0),p.attr(\"transform\",o(y.l,y.t)),d.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),d.selectAll(\"g.xbulletaxistick,path,text\").remove();var M=y.h,A=f.gauge.bar.thickness*M,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(f._hasNumber||f._hasDelta?1-u.bulletNumberDomainSize:1);(i=w(t,f.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=h.calcTicks(i),s=h.makeTransTickFn(i),l=h.getTickSigns(i)[2],c=y.t+y.h,i.visible&&(h.drawTicks(t,i,{vals:\"inside\"===i.ticks?h.clipEnds(i,a):a,layer:d,path:h.makeTickPath(i,c,l),transFn:s}),h.drawLabels(t,i,{vals:a,layer:d,transFn:s,labelFns:h.makeLabelFns(i,c)}));function C(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*M})).attr(\"height\",(function(t){return t.thickness*M}))}var L=[g].concat(f.gauge.steps),I=p.selectAll(\"g.bg-bullet\").data(L);I.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),I.select(\"rect\").call(C).call(_),I.exit().remove();var P=p.selectAll(\"g.value-bullet\").data([f.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",A).attr(\"y\",(M-A)/2).call(_),b(T)?P.select(\"rect\").transition().duration(T.duration).ease(T.easing).each(\"end\",(function(){k&&k()})).each(\"interrupt\",(function(){k&&k()})).attr(\"width\",Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(f.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var z=r.filter((function(){return f.gauge.threshold.value})),O=p.selectAll(\"g.threshold-bullet\").data(z);O.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),O.select(\"line\").attr(\"x1\",i.c2p(f.gauge.threshold.value)).attr(\"x2\",i.c2p(f.gauge.threshold.value)).attr(\"y1\",(1-f.gauge.threshold.thickness)/2*M).attr(\"y2\",(1-(1-f.gauge.threshold.thickness)/2)*M).call(m.stroke,f.gauge.threshold.line.color).style(\"stroke-width\",f.gauge.threshold.line.width),O.exit().remove();var D=p.selectAll(\"g.gauge-outline\").data([v]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(C).call(_),D.exit().remove()}(t,0,e,{gauge:Y,layer:W,size:R,gaugeBg:E,gaugeOutline:C,transitionOpts:r,onComplete:d});var X=I.selectAll(\"text.title\").data(e);X.exit().remove(),X.enter().append(\"text\").classed(\"title\",!0),X.attr(\"text-anchor\",(function(){return O?v.right:v[L.title.align]})).text(L.title.text).call(c.font,L.title.font).call(f.convertToTspans,t),X.attr(\"transform\",(function(){var t,e=R.l+R.w*y[L.title.align],r=u.titlePadding,n=c.bBox(X.node());if(P){if(z)if(L.gauge.axis.visible)t=c.bBox(G.node()).top-r-n.bottom;else t=R.t+R.h/2-N/2-n.bottom-r;O&&(t=A-(n.top+n.bottom)/2,e=R.l-u.bulletPadding*R.w)}else t=L._numbersTop-r-n.bottom;return o(e,t)}))}))}},{\"../../components/color\":643,\"../../components/drawing\":665,\"../../constants/alignment\":745,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../../plots/cartesian/axes\":827,\"../../plots/cartesian/axis_defaults\":829,\"../../plots/cartesian/layout_attributes\":841,\"../../plots/cartesian/position_defaults\":844,\"./constants\":1118,d3:169}],1122:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;var c=e.exports=l(s({x:{valType:\"data_array\"},y:{valType:\"data_array\"},z:{valType:\"data_array\"},value:{valType:\"data_array\"},isomin:{valType:\"number\"},isomax:{valType:\"number\"},surface:{show:{valType:\"boolean\",dflt:!0},count:{valType:\"integer\",dflt:2,min:1},fill:{valType:\"number\",min:0,max:1,dflt:1},pattern:{valType:\"flaglist\",flags:[\"A\",\"B\",\"C\",\"D\",\"E\"],extras:[\"all\",\"odd\",\"even\"],dflt:\"all\"}},spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!1},locations:{valType:\"data_array\",dflt:[]},fill:{valType:\"number\",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},y:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}},z:{show:{valType:\"boolean\",dflt:!0},fill:{valType:\"number\",min:0,max:1,dflt:1}}},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),showlegend:s({},o.showlegend,{dflt:!1})},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{opacity:a.opacity,lightposition:a.lightposition,lighting:a.lighting,flatshading:a.flatshading,contour:a.contour,hoverinfo:s({},o.hoverinfo)}),\"calc\",\"nested\");c.flatshading.dflt=!0,c.lighting.facenormalsepsilon.dflt=0,c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 0},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../../plots/attributes\":823,\"../../plots/template_attributes\":905,\"../mesh3d/attributes\":1127}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\"),i=t(\"../streamtube/calc\").processGrid,a=t(\"../streamtube/calc\").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":651,\"../streamtube/calc\":1294}],1124:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var 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0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return r[t]}));return{uniqueValues:e,uniqueCounts:l,inds:i}}(t.values,e)}));p=l.isArrayOrTypedArray(e.counts)?e.counts:[e.counts],function(t){var e;if(function(t){for(var e=new Array(t.length),r=0;r<t.length;r++){if(t[r]<0||t[r]>=t.length)return!1;if(void 0!==e[t[r]])return!1;e[t[r]]=!0}return!0}(t.map((function(t){return t.displayindex}))))for(e=0;e<t.length;e++)t[e]._displayindex=t[e].displayindex;else for(e=0;e<t.length;e++)t[e]._displayindex=e}(r),r.forEach((function(t,e){!function(t,e){t._categoryarray=e.uniqueValues,null===t.ticktext||void 0===t.ticktext?t._ticktext=[]:t._ticktext=t.ticktext.slice();for(var r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,M={},A=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<A.length;b++)S.push(A[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),C=S+\"-\"+E.rawColor;void 0===M[C]&&(M[C]=f(S,E.color,E.rawColor)),h(M[C],x,d)}var L,I=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<I.length;b++){var P=I[b].containerInd,z=m[b].inds[x],O=I[b].categories;if(void 0===O[z]){var D=e.dimensions[P]._categoryarray[z],R=e.dimensions[P]._ticktext[z];O[z]={dimensionInd:b,categoryInd:L=z,categoryValue:D,displayInd:L,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(O[z],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(I,M,g))}},{\"../../components/colorscale/calc\":651,\"../../components/colorscale/helpers\":654,\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/filter_unique.js\":769,\"../../lib/gup\":775,\"fast-isnumeric\":241}],1144:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var i=r(\"values\"),a=r(\"visible\");if(i&&i.length||(a=e.visible=!1),a){r(\"label\"),r(\"displayindex\",e._index);var o,s=t.categoryarray,c=Array.isArray(s)&&s.length>0;c&&(o=\"array\");var u=r(\"categoryorder\",o);\"array\"===u?(r(\"categoryarray\"),r(\"ticktext\")):(delete t.categoryarray,delete t.ticktext),c||\"array\"!==u||(e.categoryorder=\"trace\")}}e.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,l,r,i)}var p=s(t,e,{name:\"dimensions\",handleItemDefaults:u}),d=function(t,e,r,o,s){s(\"line.shape\"),s(\"line.hovertemplate\");var l=s(\"line.color\",o.colorway[0]);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,f,h);o(e,f,h),Array.isArray(p)&&p.length||(e.visible=!1),c(e,p,\"values\",d),h(\"hoveron\"),h(\"hovertemplate\"),h(\"arrangement\"),h(\"bundlecolors\"),h(\"sortpaths\"),h(\"counts\");var g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/domain\":854,\"../parcoords/merge_length\":1157,\"./attributes\":1141}],1145:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1141,\"./base_plot\":1142,\"./calc\":1143,\"./defaults\":1144,\"./plot\":1147}],1146:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plot_api/plot_api\"),a=t(\"../../components/fx\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../components/drawing\"),c=t(\"tinycolor2\"),u=t(\"../../lib/svg_text_utils\");function f(t,e,r,i){var a=t.map(R.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var f=c.selectAll(\"g.trace.parcats\").data(a,h),v=f.enter().append(\"g\").attr(\"class\",\"trace parcats\");f.attr(\"transform\",(function(t){return s(t.x,t.y)})),v.append(\"g\").attr(\"class\",\"paths\");var y=f.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),h);y.attr(\"fill\",(function(t){return t.model.color}));var _=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);b(_),y.attr(\"d\",(function(t){return t.svgD})),_.empty()||y.sort(d),y.exit().remove(),y.on(\"mouseover\",g).on(\"mouseout\",m).on(\"click\",x),v.append(\"g\").attr(\"class\",\"dimensions\");var k=f.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),h);k.enter().append(\"g\").attr(\"class\",\"dimension\"),k.attr(\"transform\",(function(t){return s(t.x,0)})),k.exit().remove();var M=k.selectAll(\"g.category\").data((function(t){return t.categories}),h),A=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return s(0,t.y)})),A.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),w(A);var S=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h);S.each((function(){o.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var z=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),T(z),S.exit().remove(),A.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var O=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return p(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",O+\" -1px 1px 2px, \"+O+\" 1px 1px 2px, \"+O+\" 1px -1px 2px, \"+O+\" -1px -1px 2px\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return p(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){l.font(n.select(this),t.parcatsViewModel.categorylabelfont),u.convertToTspans(n.select(this),e)})),A.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){l.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",E).on(\"mouseout\",C),M.exit().remove(),k.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",L).on(\"drag\",I).on(\"dragend\",P)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),f.exit().remove()}function h(t){return t.key}function p(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function d(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){o.raiseToTop(this),_(n.select(this));var e=v(t),r=y(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,s,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var m=t.parcatsViewModel.dimensions[l],x=t.parcatsViewModel.dimensions[l+1];i=(m.x+m.width+x.x)/2,s=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,w=t.parcatsViewModel.y+s,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,M=k/t.parcatsViewModel.model.count,A={countLabel:k,probabilityLabel:M.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",A.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",A.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(f)[0];a.loneHover({trace:h,x:b-d.left+g.left,y:w-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:A,eventData:[{data:h._input,fullData:h,count:k,probability:M}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function m(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(d),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function y(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function x(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=y(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function _(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function w(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function T(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){k(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function A(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=k(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=k(t);_(e),e.each((function(){o.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=S(r,s,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=u.parcatsViewModel.model.count,y=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},M=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&M.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(M.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),M.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),M.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var A=M.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:A,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,s,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(S(t,e,this))})),i}(r,s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(b(e.pathSelection),w(e.dimensionSelection.selectAll(\"g.category\")),T(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(d),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?A(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function L(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}N(t.parcatsViewModel),B(t.parcatsViewModel),D(t.parcatsViewModel),O(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==a[e]}));o&&a.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?A(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,N(t.parcatsViewModel),B(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){D(t.parcatsViewModel,!0),O(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function O(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),h),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function D(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),h);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),h);r(t.dimensionSelection).attr(\"transform\",(function(t){return s(t.x,0)})),r(i).attr(\"transform\",(function(t){return s(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return p(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return p(t)?t.width+5:-5})).each((function(t){var e,r;p(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),h),l=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),T(l),a.each((function(){o.raiseToTop(this)})),a.exit().remove()}function R(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(N(g),B(g)),g}function F(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+i+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+i)+\" \"+l[s]+\",\"+(e[s]+i)+\" \"+(t[s]+r[s])+\",\"+(e[s]+i),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function B(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],M=k.bands.length,A=k.bands[M-1];if(void 0===A||v.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[M-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?F(s,x,l,m,.5):F(s,x,l,m,0),h[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function N(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(j(t,a))}t.dimensions=r}function j(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<h;c++)l=m[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){f(r,t,n,e)}},{\"../../components/drawing\":665,\"../../components/fx\":683,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../../plot_api/plot_api\":813,d3:169,tinycolor2:576}],1147:[function(t,e,r){\"use strict\";var n=t(\"./parcats\");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{\"./parcats\":1146}],1148:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/plot_template\":816,\"../../plots/cartesian/layout_attributes\":841,\"../../plots/domain\":854,\"../../plots/font_attributes\":855}],1149:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&A(r)):A(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||A(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function M(t,e){return t[0]-e[0]}function A(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(M)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),e.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",(function(t){return t.height})).call(x);var i=t.selectAll(\".highlight\").data(o);i.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(M)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":778,\"../../lib/gup\":775,\"./constants\":1152,d3:169}],1150:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":754,\"../../plots/get_data\":864,\"./plot\":1159,d3:169}],1151:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gup\":775}],1152:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1153:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,\"values\",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",v),n.coerceFont(u,\"tickfont\",v),n.coerceFont(u,\"rangefont\",v),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":653,\"../../components/colorscale/helpers\":654,\"../../lib\":778,\"../../plots/array_container_defaults\":822,\"../../plots/cartesian/axes\":827,\"../../plots/domain\":854,\"./attributes\":1148,\"./axisbrush\":1149,\"./constants\":1152,\"./merge_length\":1157}],1154:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":778}],1155:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1148,\"./base_plot\":1150,\"./calc\":1151,\"./defaults\":1153,\"./plot\":1159}],1156:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n p17_20, p21_24, p25_28, p29_32,\\n p33_36, p37_40, p41_44, p45_48,\\n p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(mask,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p){for(var d=[[],[]],g=0;g<64;g++)d[0][g]=g===i?1:0,d[1][g]=g===a?1:0;var m=t.lines.canvasOverdrag,v=t.domain,y=t.canvasWidth,x=t.canvasHeight,b=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[y,x],viewBoxPos:[o+m,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:d[0].slice(0,16),dim0B:d[0].slice(16,32),dim0C:d[0].slice(32,48),dim0D:d[0].slice(48,64),dim1A:d[1].slice(0,16),dim1B:d[1].slice(16,32),dim1C:d[1].slice(32,48),dim1D:d[1].slice(48,64),drwLayer:h,contextColor:[b[0]/255,b[1]/255,b[2]/255,b[3]<1?b[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+m)+(t.pad.l-m)+t.layoutWidth*v.x[0],scissorWidth:(n===r?y-o+m:c+.5)+(n===e?o+m:0),scissorY:l+t.pad.b+t.layoutHeight*v.y[0],scissorHeight:u,viewportX:t.pad.l-m+t.layoutWidth*v.x[0],viewportY:t.pad.b+t.layoutHeight*v.y[0],viewportWidth:y,viewportHeight:x},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k={currentRafs:{},drawCompleted:!0,clearOnly:!1},M=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),A=T.texture(u),S=[];C(e);var E=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"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:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({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:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":642,\"../../lib/extend\":768,\"../../plots/attributes\":823,\"../../plots/domain\":854,\"../../plots/font_attributes\":855,\"../../plots/template_attributes\":905}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":890}],1162:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":643,\"fast-isnumeric\":241,tinycolor2:576}],1163:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":778,\"../../plots/domain\":854,\"../bar/defaults\":924,\"./attributes\":1160,\"fast-isnumeric\":241}],1164:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":679}],1165:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":778}],1166:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1160,\"./base_plot\":1161,\"./calc\":1162,\"./defaults\":1163,\"./layout_attributes\":1167,\"./layout_defaults\":1168,\"./plot\":1169,\"./style\":1170,\"./style_one\":1171}],1167:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1168:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":778,\"./layout_attributes\":1167}],1169:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.trace,s=i.cx,c=i.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var f=u.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[m.castOption(f,t.pts)],_module:o._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var h=t.rInscribed||0,p=s+t.pxmid[0]*(1-h),d=c+t.pxmid[1]*(1-h),g=r.separators,y=[];if(f&&-1!==f.indexOf(\"label\")&&y.push(t.label),t.text=m.castOption(u.hovertext||u.text,t.pts),f&&-1!==f.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,g),f&&-1!==f.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,g),f&&-1!==f.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;a.loneHover({trace:o,x0:p-h*i.r,x1:p+h*i.r,y:d,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==f.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(b.bgcolor,t.pts)||t.color,borderColor:m.castOption(b.bordercolor,t.pts),fontFamily:m.castOption(_.family,t.pts),fontSize:m.castOption(_.size,t.pts),fontColor:m.castOption(_.color,t.pts),nameLength:m.castOption(b.namelength,t.pts),textAlign:m.castOption(b.align,t.pts),hovertemplate:m.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,u)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(s,i)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:M(a,o/e),rotate:A(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:M(a,o/e),rotate:A(i+Math.PI/2)}}function M(t,e){return Math.cos(e)-t*e}function A(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function P(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),z(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,s+=l*r.v/2,n=O(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+L(i.px0,i.pxmid,!0,1)+L(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+L(i.px0,i.pxmid,!1,T)+L(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var M=L(i.px0,i.px1,!0,1);if(T){var A=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+L(i.px1,i.px0,!1,T)+\"l\"+A*i.px0[0]+\",\"+A*i.px0[1]+M+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=C(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=C(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:O(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var M=v.targetY;i.yLabelMin=M-y.height/2,i.yLabelMid=M,i.yLabelMax=M+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function L(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):L(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),M=g.domain,A=a.w*(M.x[1]-M.x[0]),S=a.h*(M.y[1]-M.y[0]),E=(.5*A-d.r)/a.w,I=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:M.x[0]-E,xr:M.x[1]+E,yb:M.y[0]-I,yt:M.y[1]+I,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:L,prerenderTitles:_,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":643,\"../../components/drawing\":665,\"../../components/fx\":683,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../../plots/plots\":890,\"../bar/constants\":922,\"../bar/uniform_text\":936,\"./event_data\":1164,\"./helpers\":1165,d3:169}],1170:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":936,\"./style_one\":1171,d3:169}],1171:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":643,\"./helpers\":1165}],1172:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1186}],1173:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../lib/str2rgbarray\":801,\"../../plots/cartesian/autorange\":826,\"../scatter/get_trace_color\":1196,\"gl-pointcloud2d\":324}],1174:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":778,\"./attributes\":1172}],1175:[function(t,e,r){\"use 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=h({hoverinfo:f({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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o=n[t=i[w]],s=0,l={};for(T=0;T<o.length;T++)l[(e=o[T]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(T=0;T<o.length;T++)(e=o[T]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=a(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,k.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var C=[s.node.x[_]*g,s.node.y[_]*v];k.nodes[_].x0=C[0]-d/2,k.nodes[_].x1=C[0]+d/2;var L=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=C[1]-L/2,k.nodes[_].y1=C[1]+L/2}if(\"snap\"===s.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes));i.update(k)}return{circular:b,key:r,trace:s,guid:f.randstr(),horizontal:h,width:g,height:v,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:h?v:g,dragPerpendicular:h?g:v,arrangement:s.arrangement,sankey:i,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function b(t,e,r){var n=a(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:_,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function _(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,i=t.link.source.x1,a=t.link.target.x0,o=v(i,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2;return\"M\"+i+\",\"+c+\"C\"+s+\",\"+c+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"L\"+a+\",\"+h+\"C\"+l+\",\"+h+\" \"+s+\",\"+u+\" \"+i+\",\"+u+\"Z\"}}function w(t,e){var r=a(e.color),i=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u=\"node_\"+e.pointNumber;return e.group&&(u=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-i,zoneY:-s,zoneWidth:l+2*i,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join(\"_\"),interactionState:t.interactionState,figure:t}}function T(t){t.attr(\"transform\",(function(t){return h(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function k(t){t.call(T)}function M(t,e){t.call(k),e.attr(\"d\",_())}function A(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function S(t){return t.link.width>1||t.linkLineWidth>0}function E(t){return h(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function C(t){return h(t.horizontal?0:t.labelY,t.horizontal?t.labelY:0)}function L(t){return i.svg.line()([[t.horizontal?t.left?-t.sizeAcross:t.visibleWidth+n.nodeTextOffsetHorizontal:n.nodeTextOffsetHorizontal,0],[t.horizontal?t.left?-n.nodeTextOffsetHorizontal:t.sizeAcross:t.visibleHeight-n.nodeTextOffsetHorizontal,0]])}function I(t){return t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\"}function P(t){return t.horizontal?\"scale(1 1)\":\"scale(-1 1)\"}function z(t){return t.darkBackground&&!t.horizontal?\"rgb(255,255,255)\":\"rgb(0,0,0)\"}function O(t){return t.horizontal&&t.left?\"100%\":\"0%\"}function D(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function R(t,e,r,a){var o=i.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(i){if(\"fixed\"!==i.arrangement&&(f.ensureSingle(a._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){a._fullLayout._dragCover=t})),f.raiseToTop(this),i.interactionState.dragInProgress=i.node,B(i.node),i.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,i.interactionState.hovered),i.interactionState.hovered=!1),\"snap\"===i.arrangement)){var o=i.traceId+\"|\"+i.key;i.forceLayouts[o]?i.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=u.forceSimulation(a).alphaDecay(0).force(\"collide\",u.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,i){return function(){for(var t=0,a=0;a<r.length;a++){var o=r[a];o===i.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(i.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!i.interactionState.dragInProgress&&t<.1&&i.forceLayouts[e].alpha()>0&&i.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,i),function(t,e,r,i,a){window.requestAnimationFrame((function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[i].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),M(t.filter(N(r)),e),r.forceLayouts[i].alpha()>0)window.requestAnimationFrame(o);else{var l=r.node.originalX;r.node.x0=l-r.visibleWidth/2,r.node.x1=l+r.visibleWidth/2,F(r,a)}}))}(t,e,i,o,a)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=i.event.x,a=i.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),a=Math.max(0,Math.min(r.size-r.visibleHeight/2,a)),r.node.y0=a-r.visibleHeight/2,r.node.y1=a+r.visibleHeight/2),B(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),M(t.filter(N(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&F(t,a)}}));t.on(\".drag\",null).call(o)}function F(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}y.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function B(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function N(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,l,c){var u=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){u=!0}));var h=t._fullLayout._dragCover,p=r.filter((function(t){return m(t).trace.visible})).map(x.bind(null,l)),v=e.selectAll(\".\"+n.cn.sankey).data(p,d);v.exit().remove(),v.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",E),v.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=i.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),v.transition().ease(n.ease).duration(n.duration).attr(\"transform\",E);var y=v.selectAll(\".\"+n.cn.sankeyLinks).data(g,d);y.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var k=y.selectAll(\".\"+n.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(b.bind(null,t))}),d);k.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(D,v,c.linkEvents),k.style(\"stroke\",(function(t){return S(t)?o.tinyRGB(a(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return S(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return S(t)?t.linkLineWidth:1})).attr(\"d\",_()),k.style(\"opacity\",(function(){return t._context.staticPlot||u||h?1:0})).transition().ease(n.ease).duration(n.duration).style(\"opacity\",1),k.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var M=v.selectAll(\".\"+n.cn.sankeyNodeSet).data(g,d);M.enter().append(\"g\").classed(n.cn.sankeyNodeSet,!0),M.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var F=M.selectAll(\".\"+n.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(w.bind(null,t))}),d);F.enter().append(\"g\").classed(n.cn.sankeyNode,!0).call(T).style(\"opacity\",(function(e){return!t._context.staticPlot&&!u||e.partOfGroup?0:1})),F.call(D,v,c.nodeEvents).call(R,k,c,t),F.transition().ease(n.ease).duration(n.duration).call(T).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),F.exit().transition().ease(n.ease).duration(n.duration).style(\"opacity\",0).remove();var B=F.selectAll(\".\"+n.cn.nodeRect).data(g);B.enter().append(\"rect\").classed(n.cn.nodeRect,!0).call(A),B.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return o.tinyRGB(a(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return o.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),B.transition().ease(n.ease).duration(n.duration).call(A);var N=F.selectAll(\".\"+n.cn.nodeCapture).data(g);N.enter().append(\"rect\").classed(n.cn.nodeCapture,!0).style(\"fill-opacity\",0),N.attr(\"x\",(function(t){return t.zoneX})).attr(\"y\",(function(t){return t.zoneY})).attr(\"width\",(function(t){return t.zoneWidth})).attr(\"height\",(function(t){return t.zoneHeight}));var 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n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plots/attributes\":823,\"../../plots/template_attributes\":905,\"../scatter/attributes\":1186}],1221:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":778,\"../scatter/constants\":1190,\"../scatter/fillcolor_defaults\":1194,\"../scatter/line_defaults\":1199,\"../scatter/line_shape_defaults\":1201,\"../scatter/marker_defaults\":1205,\"../scatter/subtypes\":1211,\"../scatter/text_defaults\":1212,\"./attributes\":1220}],1223:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1224:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1225:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":778,\"../scatter/hover\":1197}],1226:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":840,\"../scatter/marker_colorbar\":1204,\"../scatter/select\":1208,\"../scatter/style\":1210,\"./attributes\":1220,\"./calc\":1221,\"./defaults\":1222,\"./event_data\":1223,\"./format_labels\":1224,\"./hover\":1225,\"./plot\":1227}],1227:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":665,\"../../plots/cartesian/axes\":827,\"../scatter/plot\":1207}],1228:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":778,\"../scatter/fillcolor_defaults\":1194,\"../scatter/line_defaults\":1199,\"../scatter/marker_defaults\":1205,\"../scatter/subtypes\":1211,\"../scatter/text_defaults\":1212,\"./attributes\":1228}],1231:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],1232:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":827}],1233:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":665,\"../../components/fx/helpers\":679,\"../../constants/interactions\":752,\"../../lib\":778,\"../../lib/gl_format_color\":774,\"../../plots/cartesian/axis_ids\":830,\"../../registry\":910,\"../scatter/make_bubble_size_func\":1203,\"../scatter/subtypes\":1211,\"./constants\":1240,\"./helpers\":1245,\"color-normalize\":125,\"fast-isnumeric\":241,\"svg-path-sdf\":574}],1242:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m);var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":778,\"../../registry\":910,\"../scatter/constants\":1190,\"../scatter/fillcolor_defaults\":1194,\"../scatter/line_defaults\":1199,\"../scatter/marker_defaults\":1205,\"../scatter/period_defaults\":1206,\"../scatter/subtypes\":1211,\"../scatter/text_defaults\":1212,\"../scatter/xy_defaults\":1213,\"./attributes\":1238,\"./helpers\":1245}],1243:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":643,\"../../constants/interactions\":752,\"../../lib\":778}],1244:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":1195}],1245:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1240}],1246:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,M=o._origY,A=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:M?M[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?A.text=h.htx:h.tx?A.text=h.tx:o.text&&(A.text=o.text),i.fillText(h,o,A),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,A),A}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d=t.cd,g=d[0].t,m=d[0].trace,v=t.xa,y=t.ya,x=g.x,b=g.y,_=v.c2p(e),w=y.c2p(r),T=t.distance;if(g.tree){var k=v.p2c(_-T),M=v.p2c(_+T),A=y.p2c(w-T),S=y.p2c(w+T);i=\"x\"===n?g.tree.range(Math.min(k,M),Math.min(y._rl[0],y._rl[1]),Math.max(k,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(k,M),Math.min(A,S),Math.max(k,M),Math.max(A,S))}else i=g.ids;var E=T;if(\"x\"===n)for(c=0;c<i.length;c++)s=x[i[c]],(u=Math.abs(v.c2p(s)-_))<E&&(E=u,f=y.c2p(b[i[c]])-w,p=Math.sqrt(u*u+f*f),a=i[c]);else for(c=i.length-1;c>-1;c--)s=x[i[c]],l=b[i[c]],u=v.c2p(s)-_,f=y.c2p(l)-w,(h=Math.sqrt(u*u+f*f))<E&&(E=p=h,a=i[c]);return t.index=a,t.distance=E,t.dxy=p,void 0===a?[t]:[o(t,x,b,m)]},calcHover:o}},{\"../../lib\":778,\"../../registry\":910,\"../scatter/get_trace_color\":1196}],1247:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":840,\"../scatter/cross_trace_defaults\":1192,\"../scatter/marker_colorbar\":1204,\"./attributes\":1238,\"./calc\":1239,\"./defaults\":1242,\"./format_labels\":1244,\"./hover\":1246,\"./plot\":1248,\"./select\":1250}],1248:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r){var n=t._size,i=t.width,a=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,i-n.r-(1-e.domain[1])*n.w,a-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_,{constPointSize:!0})),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=m.dragmode,A=l(M),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],C=E.trace,L=E.t,I=L.index,P=C._length,z=L.x,O=L.y;if(C.selectedpoints||A||S){if(A||(A=!0),C.selectedpoints){var D=v.selectBatch[I]=s.selIndices2selPoints(C),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<P;g++)R[g]||F.push(g);v.unselectBatch[I]=F}var B=L.xpx=new Array(P),N=L.ypx=new Array(P);for(g=0;g<P;g++)B[g]=y.c2p(z[g]),N[g]=x.c2p(O[g])}else L.xpx=L.ypx=null}if(A){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":661,\"../../lib\":778,\"../../lib/prepare_regl\":791,\"../scatter/link_traces\":1202,\"../scatter/subtypes\":1211,\"./edit_style\":1243,\"gl-text\":352,\"regl-error2d\":534,\"regl-line2d\":535,\"regl-scatter2d\":537}],1249:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else 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e,r,i,a,s,l,c,u,f,h,p,d,g=t._x,m=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,M=\"\";for(y&&(c=g[0],f=m[0],p=v[0]),y>1&&(u=g[y-1],h=m[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,m[e]),w=Math.min(w,m[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||g[e]===c||(a=!0,M+=\"x\"),s||m[e]===f||(s=!0,M+=\"y\"),l||v[e]===p||(l=!0,M+=\"z\");a||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(f>h?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var C=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?g:\"y\"===t?m:v},I=function(t){return\"x\"===t?A:\"y\"===t?S:E},P=function(t){return t[y-1]<t[0]?-1:1},z=L(M[1]),O=L(M[3]),D=L(M[5]),R=I(M[1]).length,F=I(M[3]).length,B=I(M[5]).length,N=!1,j=function(t,e,r){return 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M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=x.formatValue(u.v,l)),M.currentPath=x.getPath(t.data),h||(M.percentParent=d/x.getValue(p),M.percentParentLabel=x.formatPercent(M.percentParent,l),M.parent=x.getPtLabel(p)),M.percentEntry=d/x.getValue(e),M.percentEntryLabel=x.formatPercent(M.percentEntry,l),M.entry=x.getPtLabel(e),M.percentRoot=d/x.getValue(f),M.percentRootLabel=x.formatPercent(M.percentRoot,l),M.root=x.getPtLabel(f),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(k,M,i._d3locale,M,r._meta||{})}},{\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../bar/style\":934,\"../bar/uniform_text\":936,\"../pie/helpers\":1165,\"../pie/plot\":1169,\"./constants\":1301,\"./fx\":1303,\"./helpers\":1304,\"./style\":1309,d3:169,\"d3-hierarchy\":161}],1309:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":643,\"../../lib\":778,\"../bar/uniform_text\":936,d3:169}],1310:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:a(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:s({},i.zauto,{}),zmin:s({},i.zmin,{}),zmax:s({},i.zmax,{})},hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");u.x.editType=u.y.editType=u.z.editType=\"calc+clearAxisTypes\",u.transforms=void 0},{\"../../components/color\":643,\"../../components/colorscale/attributes\":650,\"../../lib/extend\":768,\"../../plot_api/edit_types\":809,\"../../plots/attributes\":823,\"../../plots/template_attributes\":905}],1311:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":651}],1312:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),i=t(\"ndarray\"),a=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),g=l.dataScale,m=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v])];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.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:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(m*v),[m,v]);for(r=0;r<m;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=g[2],w.intensityBounds[1]*=g[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var M=[!0,!0,!0],A=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[A[e]];M[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=M,p.enableHighlight=M,p.snapToData=!0,\"lighting\"in t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../components/colorscale\":655,\"../../lib\":778,\"../../lib/gl_format_color\":774,\"../../lib/str2rgbarray\":801,\"../heatmap/find_empties\":1070,\"../heatmap/interp2d\":1073,\"gl-surface3d\":351,ndarray:495,\"ndarray-linear-interpolate\":489}],1313:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},a(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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d=i.ensureSingle(h,\"g\",\"slicetext\"),T=i.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(C,s,S.font,{onPathbar:!0}));T.text(s._text||\" \").classed(\"slicetext\",!0).attr(\"text-anchor\",\"start\").call(a.font,E).call(o.convertToTspans,t),s.textBB=a.bBox(T.node()),s.transform=b(s,{fontSize:E.size,onPathbar:!0}),s.transform.fontSize=E.size,w?T.transition().attrTween(\"transform\",(function(t){var e=M(t,!0,A,[g,m]);return function(t){return _(e(t))}})):T.attr(\"transform\",_(s))}))}},{\"../../components/drawing\":665,\"../../lib\":778,\"../../lib/svg_text_utils\":802,\"../sunburst/fx\":1303,\"../sunburst/helpers\":1304,\"./constants\":1327,\"./partition\":1334,\"./style\":1336,d3:169}],1330:[function(t,e,r){\"use strict\";var n=t(\"d3\"),i=t(\"../../lib\"),a=t(\"../../components/drawing\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"./partition\"),l=t(\"./style\").styleOne,c=t(\"./constants\"),u=t(\"../sunburst/helpers\"),f=t(\"../sunburst/fx\"),h=t(\"../sunburst/plot\").formatSliceLabel;e.exports=function(t,e,r,p,d){var 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strict\";e.exports={attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../box/defaults\").crossTraceDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\"),crossTraceCalc:t(\"./cross_trace_calc\"),plot:t(\"./plot\"),style:t(\"./style\"),styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../box/select\"),moduleType:\"trace\",name:\"violin\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"violinLayout\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":840,\"../box/defaults\":948,\"../box/select\":955,\"../scatter/style\":1210,\"./attributes\":1337,\"./calc\":1338,\"./cross_trace_calc\":1339,\"./defaults\":1340,\"./hover\":1342,\"./layout_attributes\":1344,\"./layout_defaults\":1345,\"./plot\":1346,\"./style\":1347}],1344:[function(t,e,r){\"use strict\";var 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f={\"stroke-width\":u+\"px\",\"stroke-dasharray\":2*u+\"px,\"+u+\"px\"};o.selectAll(\"path.mean\").style(f).call(i.stroke,c.color),o.selectAll(\"path.meanline\").style(f).call(i.stroke,c.color),a(o,r,t)}))}},{\"../../components/color\":643,\"../scatter/style\":1210,d3:169}],1348:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../isosurface/attributes\"),a=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll,c=e.exports=l(s({x:i.x,y:i.y,z:i.z,value:i.value,isomin:i.isomin,isomax:i.isomax,surface:i.surface,spaceframe:{show:{valType:\"boolean\",dflt:!1},fill:{valType:\"number\",min:0,max:1,dflt:1}},slices:i.slices,caps:i.caps,text:i.text,hovertext:i.hovertext,hovertemplate:i.hovertemplate},n(\"\",{colorAttr:\"`value`\",showScaleDflt:!0,editTypeOverride:\"calc\"}),{colorbar:i.colorbar,opacity:i.opacity,opacityscale:a.opacityscale,lightposition:i.lightposition,lighting:i.lighting,flatshading:i.flatshading,contour:i.contour,hoverinfo:s({},o.hoverinfo),showlegend:s({},o.showlegend,{dflt:!1})}),\"calc\",\"nested\");c.x.editType=c.y.editType=c.z.editType=c.value.editType=\"calc+clearAxisTypes\",c.transforms=void 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- " });\n",
- " require(['plotly'], function(Plotly) {\n",
- " window._Plotly = Plotly;\n",
- " });\n",
- " }\n",
- " </script>\n",
- " "
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>PC-1</th>\n",
+ " <th>PC-2</th>\n",
+ " <th>Survey</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>Number.of.co.wives.2</th>\n",
+ " <td>3.424037</td>\n",
+ " <td>1.398217</td>\n",
+ " <td>2002</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>First.sex.by.15.W</th>\n",
+ " <td>5.450626</td>\n",
+ " <td>1.053491</td>\n",
+ " <td>2002</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Men.circumcised</th>\n",
+ " <td>25.950385</td>\n",
+ " <td>20.716164</td>\n",
+ " <td>2002</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Folk.Religion</th>\n",
+ " <td>2.147842</td>\n",
+ " <td>3.147581</td>\n",
+ " <td>2002</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wife.beating.justified.W</th>\n",
+ " <td>9.462745</td>\n",
+ " <td>5.672655</td>\n",
+ " <td>2003</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.higher.risk.sex.M</th>\n",
+ " <td>3.430280</td>\n",
+ " <td>6.604554</td>\n",
+ " <td>2015</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Men.circumcised</th>\n",
+ " <td>26.461233</td>\n",
+ " <td>13.445277</td>\n",
+ " <td>2015</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Folk.Religion</th>\n",
+ " <td>2.310135</td>\n",
+ " <td>1.596987</td>\n",
+ " <td>2015</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.higher.risk.sex.M</th>\n",
+ " <td>1.009951</td>\n",
+ " <td>5.771009</td>\n",
+ " <td>2016</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Men.circumcised</th>\n",
+ " <td>24.186164</td>\n",
+ " <td>14.752629</td>\n",
+ " <td>2016</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>73 rows × 3 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " PC-1 PC-2 Survey\n",
+ "Number.of.co.wives.2 3.424037 1.398217 2002\n",
+ "First.sex.by.15.W 5.450626 1.053491 2002\n",
+ "Men.circumcised 25.950385 20.716164 2002\n",
+ "Folk.Religion 2.147842 3.147581 2002\n",
+ "Wife.beating.justified.W 9.462745 5.672655 2003\n",
+ "... ... ... ...\n",
+ "Unprotected.higher.risk.sex.M 3.430280 6.604554 2015\n",
+ "Men.circumcised 26.461233 13.445277 2015\n",
+ "Folk.Religion 2.310135 1.596987 2015\n",
+ "Unprotected.higher.risk.sex.M 1.009951 5.771009 2016\n",
+ "Men.circumcised 24.186164 14.752629 2016\n",
+ "\n",
+ "[73 rows x 3 columns]"
]
},
+ "execution_count": 212,
"metadata": {},
- "output_type": "display_data"
- },
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "loadings_df[(loadings_df['PC-1']>1) & (loadings_df['PC-2']>1)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 213,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "bb = (loadings_df[(loadings_df['PC-1']>1) & (loadings_df['PC-2']>1)].abs().groupby(level=0).max()-loadings_df[(loadings_df['PC-1']>1) & (loadings_df['PC-2']>1)].abs().groupby(level=0).min())/(loadings_df[(loadings_df['PC-1']>1) & (loadings_df['PC-2']>1)].abs().groupby(level=0).max())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 214,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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+ " <th></th>\n",
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+ " </thead>\n",
+ " <tbody>\n",
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+ " <th>Access.to.media.M</th>\n",
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+ " <td>0.532496</td>\n",
+ " <td>0.000499</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Christian</th>\n",
+ " <td>0.188864</td>\n",
+ " <td>0.360756</td>\n",
+ " <td>0.002489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Ever.paid.for.sex</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>First.sex.by.15.M</th>\n",
+ " <td>0.013851</td>\n",
+ " <td>0.131822</td>\n",
+ " <td>0.000499</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>First.sex.by.15.W</th>\n",
+ " <td>0.400874</td>\n",
+ " <td>0.745258</td>\n",
+ " <td>0.006452</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Folk.Religion</th>\n",
+ " <td>0.432813</td>\n",
+ " <td>0.492630</td>\n",
+ " <td>0.006452</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Literate.M</th>\n",
+ " <td>0.392155</td>\n",
+ " <td>0.233950</td>\n",
+ " <td>0.002489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Literate.W</th>\n",
+ " <td>0.321000</td>\n",
+ " <td>0.263560</td>\n",
+ " <td>0.002489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Married.women.participating.in.decisions</th>\n",
+ " <td>0.371486</td>\n",
+ " <td>0.066240</td>\n",
+ " <td>0.002489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Men.circumcised</th>\n",
+ " <td>0.331088</td>\n",
+ " <td>0.379803</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Men.who.work</th>\n",
+ " <td>0.846147</td>\n",
+ " <td>0.257947</td>\n",
+ " <td>0.001993</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.co.wives.0</th>\n",
+ " <td>0.045050</td>\n",
+ " <td>0.562770</td>\n",
+ " <td>0.002489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.co.wives.2</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.wives.1</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.wives.2</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.higher.risk.sex.M</th>\n",
+ " <td>0.705578</td>\n",
+ " <td>0.278932</td>\n",
+ " <td>0.005952</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.higher.risk.sex.W</th>\n",
+ " <td>0.109443</td>\n",
+ " <td>0.089366</td>\n",
+ " <td>0.000499</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Use.of.contraception</th>\n",
+ " <td>0.201162</td>\n",
+ " <td>0.679893</td>\n",
+ " <td>0.002489</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wife.beating.justified.M</th>\n",
+ " <td>0.622305</td>\n",
+ " <td>0.807341</td>\n",
+ " <td>0.004968</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wife.beating.justified.W</th>\n",
+ " <td>0.458753</td>\n",
+ " <td>0.818855</td>\n",
+ " <td>0.004473</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Women.who.work</th>\n",
+ " <td>0.153267</td>\n",
+ " <td>0.392820</td>\n",
+ " <td>0.000996</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " PC-1 PC-2 Survey\n",
+ "Access.to.media.M 0.080989 0.532496 0.000499\n",
+ "Christian 0.188864 0.360756 0.002489\n",
+ "Ever.paid.for.sex 0.000000 0.000000 0.000000\n",
+ "First.sex.by.15.M 0.013851 0.131822 0.000499\n",
+ "First.sex.by.15.W 0.400874 0.745258 0.006452\n",
+ "Folk.Religion 0.432813 0.492630 0.006452\n",
+ "Literate.M 0.392155 0.233950 0.002489\n",
+ "Literate.W 0.321000 0.263560 0.002489\n",
+ "Married.women.participating.in.decisions 0.371486 0.066240 0.002489\n",
+ "Men.circumcised 0.331088 0.379803 0.006944\n",
+ "Men.who.work 0.846147 0.257947 0.001993\n",
+ "Number.of.co.wives.0 0.045050 0.562770 0.002489\n",
+ "Number.of.co.wives.2 0.000000 0.000000 0.000000\n",
+ "Number.of.wives.1 0.000000 0.000000 0.000000\n",
+ "Number.of.wives.2 0.000000 0.000000 0.000000\n",
+ "Unprotected.higher.risk.sex.M 0.705578 0.278932 0.005952\n",
+ "Unprotected.higher.risk.sex.W 0.109443 0.089366 0.000499\n",
+ "Use.of.contraception 0.201162 0.679893 0.002489\n",
+ "Wife.beating.justified.M 0.622305 0.807341 0.004968\n",
+ "Wife.beating.justified.W 0.458753 0.818855 0.004473\n",
+ "Women.who.work 0.153267 0.392820 0.000996"
+ ]
+ },
+ "execution_count": 214,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "bb"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 215,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
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+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>PC-1</th>\n",
+ " <th>PC-2</th>\n",
+ " <th>Survey</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>Access.to.media.M</th>\n",
+ " <td>0.927398</td>\n",
+ " <td>0.981246</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Access.to.media.W</th>\n",
+ " <td>0.930055</td>\n",
+ " <td>0.988193</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Age</th>\n",
+ " <td>0.841397</td>\n",
+ " <td>0.955511</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Buy.from.shopkeeper.with.AIDS.M</th>\n",
+ " <td>0.305357</td>\n",
+ " <td>0.948676</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Buy.from.shopkeeper.with.AIDS.W</th>\n",
+ " <td>0.418176</td>\n",
+ " <td>0.741522</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Christian</th>\n",
+ " <td>0.272206</td>\n",
+ " <td>0.750286</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Ever.paid.for.sex</th>\n",
+ " <td>0.658732</td>\n",
+ " <td>0.977124</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Female.headed.household</th>\n",
+ " <td>0.471017</td>\n",
+ " <td>0.985077</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>First.sex.by.15.M</th>\n",
+ " <td>0.812068</td>\n",
+ " <td>0.764604</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>First.sex.by.15.W</th>\n",
+ " <td>0.434706</td>\n",
+ " <td>0.781793</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Folk.Religion</th>\n",
+ " <td>0.855068</td>\n",
+ " <td>0.827562</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>General.fertility.rate</th>\n",
+ " <td>0.863888</td>\n",
+ " <td>0.957369</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Justified.condom.if.husband.has.STI.M</th>\n",
+ " <td>0.640107</td>\n",
+ " <td>0.961777</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Justified.condom.if.husband.has.STI.W</th>\n",
+ " <td>0.578646</td>\n",
+ " <td>0.803378</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Knowledge.about.AIDS.M</th>\n",
+ " <td>0.515341</td>\n",
+ " <td>0.854145</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Knowledge.about.AIDS.W</th>\n",
+ " <td>0.443169</td>\n",
+ " <td>0.998991</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Literate.M</th>\n",
+ " <td>0.441649</td>\n",
+ " <td>0.728124</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Literate.W</th>\n",
+ " <td>0.321000</td>\n",
+ " <td>0.870427</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Married.or.in.union.M</th>\n",
+ " <td>0.880272</td>\n",
+ " <td>0.759456</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Married.or.in.union.W</th>\n",
+ " <td>0.561714</td>\n",
+ " <td>0.951367</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Married.women.participating.in.decisions</th>\n",
+ " <td>0.606446</td>\n",
+ " <td>0.826137</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Married.women.who.disagree.with.wife.beating</th>\n",
+ " <td>0.983370</td>\n",
+ " <td>0.986209</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Mean.number.of.sexual.partners.M.Normalized</th>\n",
+ " <td>0.825976</td>\n",
+ " <td>0.768412</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Mean.number.of.sexual.partners.W.Normalized</th>\n",
+ " <td>0.587551</td>\n",
+ " <td>0.801960</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Men.circumcised</th>\n",
+ " <td>0.331088</td>\n",
+ " <td>0.392167</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Men.who.work</th>\n",
+ " <td>0.936255</td>\n",
+ " <td>0.994677</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Muslim</th>\n",
+ " <td>0.368704</td>\n",
+ " <td>0.965099</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.co.wives.0</th>\n",
+ " <td>0.229688</td>\n",
+ " <td>0.964847</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.co.wives.1</th>\n",
+ " <td>0.324648</td>\n",
+ " <td>0.976260</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.co.wives.2</th>\n",
+ " <td>0.629664</td>\n",
+ " <td>0.989514</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.wives.1</th>\n",
+ " <td>0.336881</td>\n",
+ " <td>0.952558</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Number.of.wives.2</th>\n",
+ " <td>0.339222</td>\n",
+ " <td>0.955504</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Other.Religion</th>\n",
+ " <td>0.856906</td>\n",
+ " <td>0.898276</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unaffiliated.Religion</th>\n",
+ " <td>0.891058</td>\n",
+ " <td>0.772102</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.higher.risk.sex.M</th>\n",
+ " <td>0.989984</td>\n",
+ " <td>0.834106</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.higher.risk.sex.W</th>\n",
+ " <td>0.970383</td>\n",
+ " <td>0.776797</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.paid.sex</th>\n",
+ " <td>0.989452</td>\n",
+ " <td>0.999941</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Use.of.contraception</th>\n",
+ " <td>0.379370</td>\n",
+ " <td>0.769138</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wealth.index.Gini</th>\n",
+ " <td>0.569617</td>\n",
+ " <td>0.976417</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wife.beating.justified.M</th>\n",
+ " <td>0.948032</td>\n",
+ " <td>0.947721</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wife.beating.justified.W</th>\n",
+ " <td>0.922156</td>\n",
+ " <td>0.971108</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Women.who.work</th>\n",
+ " <td>0.938755</td>\n",
+ " <td>0.830360</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>rural</th>\n",
+ " <td>0.955359</td>\n",
+ " <td>0.762415</td>\n",
+ " <td>0.006944</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " PC-1 PC-2 Survey\n",
+ "Access.to.media.M 0.927398 0.981246 0.006944\n",
+ "Access.to.media.W 0.930055 0.988193 0.006944\n",
+ "Age 0.841397 0.955511 0.006944\n",
+ "Buy.from.shopkeeper.with.AIDS.M 0.305357 0.948676 0.006944\n",
+ "Buy.from.shopkeeper.with.AIDS.W 0.418176 0.741522 0.006944\n",
+ "Christian 0.272206 0.750286 0.006944\n",
+ "Ever.paid.for.sex 0.658732 0.977124 0.006944\n",
+ "Female.headed.household 0.471017 0.985077 0.006944\n",
+ "First.sex.by.15.M 0.812068 0.764604 0.006944\n",
+ "First.sex.by.15.W 0.434706 0.781793 0.006944\n",
+ "Folk.Religion 0.855068 0.827562 0.006944\n",
+ "General.fertility.rate 0.863888 0.957369 0.006944\n",
+ "Justified.condom.if.husband.has.STI.M 0.640107 0.961777 0.006944\n",
+ "Justified.condom.if.husband.has.STI.W 0.578646 0.803378 0.006944\n",
+ "Knowledge.about.AIDS.M 0.515341 0.854145 0.006944\n",
+ "Knowledge.about.AIDS.W 0.443169 0.998991 0.006944\n",
+ "Literate.M 0.441649 0.728124 0.006944\n",
+ "Literate.W 0.321000 0.870427 0.006944\n",
+ "Married.or.in.union.M 0.880272 0.759456 0.006944\n",
+ "Married.or.in.union.W 0.561714 0.951367 0.006944\n",
+ "Married.women.participating.in.decisions 0.606446 0.826137 0.006944\n",
+ "Married.women.who.disagree.with.wife.beating 0.983370 0.986209 0.006944\n",
+ "Mean.number.of.sexual.partners.M.Normalized 0.825976 0.768412 0.006944\n",
+ "Mean.number.of.sexual.partners.W.Normalized 0.587551 0.801960 0.006944\n",
+ "Men.circumcised 0.331088 0.392167 0.006944\n",
+ "Men.who.work 0.936255 0.994677 0.006944\n",
+ "Muslim 0.368704 0.965099 0.006944\n",
+ "Number.of.co.wives.0 0.229688 0.964847 0.006944\n",
+ "Number.of.co.wives.1 0.324648 0.976260 0.006944\n",
+ "Number.of.co.wives.2 0.629664 0.989514 0.006944\n",
+ "Number.of.wives.1 0.336881 0.952558 0.006944\n",
+ "Number.of.wives.2 0.339222 0.955504 0.006944\n",
+ "Other.Religion 0.856906 0.898276 0.006944\n",
+ "Unaffiliated.Religion 0.891058 0.772102 0.006944\n",
+ "Unprotected.higher.risk.sex.M 0.989984 0.834106 0.006944\n",
+ "Unprotected.higher.risk.sex.W 0.970383 0.776797 0.006944\n",
+ "Unprotected.paid.sex 0.989452 0.999941 0.006944\n",
+ "Use.of.contraception 0.379370 0.769138 0.006944\n",
+ "Wealth.index.Gini 0.569617 0.976417 0.006944\n",
+ "Wife.beating.justified.M 0.948032 0.947721 0.006944\n",
+ "Wife.beating.justified.W 0.922156 0.971108 0.006944\n",
+ "Women.who.work 0.938755 0.830360 0.006944\n",
+ "rural 0.955359 0.762415 0.006944"
+ ]
+ },
+ "execution_count": 215,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(loadings_df.abs().groupby(level=0).max()-loadings_df.abs().groupby(level=0).min())/(loadings_df.abs().groupby(level=0).max())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 216,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "PC-1 0.955359\n",
+ "PC-2 0.762415\n",
+ "Survey 0.006944\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 216,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "(loadings_df.abs().loc['rural'].max()-loadings_df.abs().loc['rural'].min())/loadings_df.abs().loc['rural'].max()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 217,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "aa = (loadings_df.abs().groupby(level=0).std())/(loadings_df.abs().groupby(level=0).mean())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 218,
+ "metadata": {},
+ "outputs": [
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+ "metadata": {},
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+ }
+ ],
+ "source": [
+ "fig = px.scatter(\n",
+ " #loadings_df.abs().groupby(level=0).std().reset_index(),\n",
+ " #bb.reset_index(),\n",
+ " aa.reset_index(),\n",
+ " x=\"PC-1\",\n",
+ " y='PC-2',\n",
+ " color='index'\n",
+ ")\n",
+ "\n",
+ "fig.update_layout(title='STD of PCs', height=800)\n",
+ "\n",
+ "#figbox.write_html('../../../thesis_prelim_presentation/plots/pca_change.html', auto_open=True)\n",
+ "fig.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 219,
+ "metadata": {},
+ "outputs": [
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+ "data": {
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+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>index</th>\n",
+ " <th>Survey</th>\n",
+ " <th>variable</th>\n",
+ " <th>value</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>Use.of.contraception</td>\n",
+ " <td>2002.0</td>\n",
+ " <td>PC-1</td>\n",
+ " <td>6.902945</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>Ever.paid.for.sex</td>\n",
+ " <td>2002.0</td>\n",
+ " <td>PC-1</td>\n",
+ " <td>1.419680</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>Wife.beating.justified.W</td>\n",
+ " <td>2002.0</td>\n",
+ " <td>PC-1</td>\n",
+ " <td>8.958700</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>Wife.beating.justified.M</td>\n",
+ " <td>2002.0</td>\n",
+ " <td>PC-1</td>\n",
+ " <td>2.710286</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>Unprotected.paid.sex</td>\n",
+ " <td>2002.0</td>\n",
+ " <td>PC-1</td>\n",
+ " <td>0.246218</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1285</th>\n",
+ " <td>Christian</td>\n",
+ " <td>2016.0</td>\n",
+ " <td>PC-2</td>\n",
+ " <td>5.617072</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1286</th>\n",
+ " <td>Muslim</td>\n",
+ " <td>2016.0</td>\n",
+ " <td>PC-2</td>\n",
+ " <td>8.416423</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1287</th>\n",
+ " <td>Folk.Religion</td>\n",
+ " <td>2016.0</td>\n",
+ " <td>PC-2</td>\n",
+ " <td>1.103131</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1288</th>\n",
+ " <td>Unaffiliated.Religion</td>\n",
+ " <td>2016.0</td>\n",
+ " <td>PC-2</td>\n",
+ " <td>1.583120</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1289</th>\n",
+ " <td>Other.Religion</td>\n",
+ " <td>2016.0</td>\n",
+ " <td>PC-2</td>\n",
+ " <td>0.116333</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>1290 rows × 4 columns</p>\n",
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+ "text/plain": [
+ " index Survey variable value\n",
+ "0 Use.of.contraception 2002.0 PC-1 6.902945\n",
+ "1 Ever.paid.for.sex 2002.0 PC-1 1.419680\n",
+ "2 Wife.beating.justified.W 2002.0 PC-1 8.958700\n",
+ "3 Wife.beating.justified.M 2002.0 PC-1 2.710286\n",
+ "4 Unprotected.paid.sex 2002.0 PC-1 0.246218\n",
+ "... ... ... ... ...\n",
+ "1285 Christian 2016.0 PC-2 5.617072\n",
+ "1286 Muslim 2016.0 PC-2 8.416423\n",
+ "1287 Folk.Religion 2016.0 PC-2 1.103131\n",
+ "1288 Unaffiliated.Religion 2016.0 PC-2 1.583120\n",
+ "1289 Other.Religion 2016.0 PC-2 0.116333\n",
+ "\n",
+ "[1290 rows x 4 columns]"
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+ },
+ "execution_count": 219,
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+ "legendgroup": "Unaffiliated.Religion",
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",
+ "image/png": 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\"y\"}], {\"height\": 800, \"legend\": {\"title\": {\"text\": \"index\"}, \"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], 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{\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"PC-2 over time\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Survey\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"value\"}}}, {\"responsive\": true} ).then(function(){\n",
" \n",
- "var gd = document.getElementById('cb914cf6-996d-4ece-8fda-29f6b3d1341b');\n",
+ "var gd = document.getElementById('ddda1379-9034-400e-a6ba-50538ea12a0f');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
@@ -6139,207 +13146,70 @@
],
"source": [
"# Plot trajectories\n",
- "diff = 3\n",
- "bla=np.abs(loadings_df)\n",
- "figbox = px.scatter(\n",
- " bla.reset_index(), \n",
- " x=\"PC-1\",\n",
- " y=\"PC-2\",\n",
- " hover_name='index',\n",
+ "indicator='Men.circumcised'\n",
+ "\n",
+ "figbox1 = px.scatter(\n",
+ " pd.melt(loadings_df.abs().reset_index(), id_vars=['index','Survey'], value_vars=['PC-1']),\n",
+ " x=\"Survey\",\n",
+ " y='value',\n",
" color='index',\n",
- " hover_data=['Survey'], \n",
- " range_x=[0,loadings_df['PC-1'].max()+diff],\n",
- " range_y=[0,loadings_df['PC-2'].max()+diff]\n",
+ " trendline='ols'\n",
")\n",
"\n",
- "figbox.update_layout(height=800)\n",
- "\n",
- "#figbox.write_html('../../../thesis_prelim_presentation/plots/pca_change.html', auto_open=True)\n",
- "\n",
- "figbox.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "# Fit model with data from the last group\n",
- "if use_all == False:\n",
- " if use_zscore == False:\n",
- " X2D_G4 = pca.fit(G[max_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY'])) \n",
- " elif use_zscore == True:\n",
- " X2D_G4 = pca.fit(G[max_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY']).apply(zscore)) \n",
- "if use_all == True:\n",
- " if use_zscore == False:\n",
- " X2D_G4 = pca.fit(df.drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY'])) \n",
- " elif use_zscore == True:\n",
- " X2D_G4 = pca.fit(df.drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY']).apply(zscore)) "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "# Create a similar dict but composed of the PCs\n",
- "PCG={}\n",
+ "figbox2 = px.scatter(\n",
+ " pd.melt(loadings_df.abs().reset_index(), id_vars=['index','Survey'], value_vars=['PC-2']),\n",
+ " x=\"Survey\",\n",
+ " y='value',\n",
+ " color='index',\n",
+ " trendline='ols'\n",
+ ")\n",
"\n",
- "if n == 2:\n",
- " components = ['PC-1', 'PC-2']\n",
- "elif n == 3:\n",
- " components = ['PC-1', 'PC-2', 'PC-3']\n",
+ "figbox1.update_layout(title='PC-1 over time', height=800)\n",
+ "figbox2.update_layout(title='PC-2 over time', height=800)\n",
"\n",
- "for start_year in range(min_year,max_year+1):\n",
- " if use_zscore == False:\n",
- " PCG[start_year]=pd.DataFrame(pca.transform(G[start_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY'])), columns=components, index=G[start_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART']).index)\n",
- " elif use_zscore == True:\n",
- " PCG[start_year]=pd.DataFrame(pca.transform(G[start_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY']).apply(zscore)), columns=components, index=G[start_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART']).index)\n",
+ "#figbox.write_html('../../../thesis_prelim_presentation/plots/pca_change.html', auto_open=True)\n",
"\n",
- "#PCG[start_year]=pd.DataFrame(pca.transform(G[start_year].drop(columns=['iso','cow','GY'])), columns=components, index=G[start_year].index)\n",
- "#PCG_norm[start_year]=pd.DataFrame(pca_norm.transform(G[start_year].drop(columns=['iso','cow','GY']).apply(zscore)), columns=components, index=G[start_year].index)\n",
- "#PCG[start_year]=pd.DataFrame(pca_norm.transform(G[start_year].drop(columns=['iso','cow','GY']).apply(zscore)), columns=components, index=G[start_year].index) "
+ "figbox1.show()\n",
+ "figbox2.show()"
]
},
{
"cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
+ "execution_count": 221,
+ "metadata": {},
"outputs": [],
"source": [
- "# Calculate loadings if you want\n",
- "loadings=pd.DataFrame(pca.components_.T*np.sqrt(pca.explained_variance_), columns=components, index=G[min_year].drop(columns=['Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','ART','iso','cow','GY']).columns)"
+ "results1 = px.get_trendline_results(figbox1)\n",
+ "results2 = px.get_trendline_results(figbox2)\n",
+ "#for i in range(len(results)):\n",
+ "# print(results.loc[i,'index'])\n",
+ "# print(results.iloc[i].px_fit_results.params[1])\n",
+ "#for indicator in results['index']:\n",
+ "#results[results['index'] == 'Use.of.contraception'].iloc[0].px_fit_results.params[1]"
]
},
{
"cell_type": "code",
- "execution_count": 21,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
+ "execution_count": 222,
+ "metadata": {},
"outputs": [],
"source": [
- "def minmax(X):\n",
- " return (X - X.min()) / (X.max() - X.min())\n",
+ "PC_trends = pd.DataFrame([], columns=['Indicator', 'PC1_trend', 'PC2_trend', 'PC1_range', 'PC2_range'])\n",
"\n",
- "norm_loadings = minmax(loadings)\n",
- "#norm_loadings_true = minmax(loadings_True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "array([0.58387288, 0.13644022])"
- ]
- },
- "execution_count": 22,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "pca.explained_variance_ratio_"
+ "for indicator in results1['index']:\n",
+ " PC1_trend = results1[results1['index'] == indicator].iloc[0].px_fit_results.params[1]#/loadings_df.loc[indicator].abs()['PC-1'].mean()\n",
+ " PC2_trend = results2[results2['index'] == indicator].iloc[0].px_fit_results.params[1]#/loadings_df.loc[indicator].abs()['PC-2'].mean()\n",
+ " PC1_range = (loadings_df.loc[indicator].abs()['PC-1'].max()-loadings_df.loc[indicator].abs()['PC-1'].min())#/loadings_df.loc[indicator].abs()['PC-1'].min()\n",
+ " PC2_range = (loadings_df.loc[indicator].abs()['PC-2'].max()-loadings_df.loc[indicator].abs()['PC-2'].min())#/loadings_df.loc[indicator].abs()['PC-2'].mingeary()\n",
+ " \n",
+ " PC_trends=PC_trends.append({'Indicator':indicator, 'PC1_trend':PC1_trend, 'PC2_trend':PC2_trend, 'PC1_range':PC1_range, 'PC2_range':PC2_range}, ignore_index=True)\n",
+ " "
]
},
{
"cell_type": "code",
- "execution_count": 23,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
+ "execution_count": 224,
+ "metadata": {},
"outputs": [
{
"data": {
@@ -6362,122 +13232,468 @@
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
- " <th>PC-1</th>\n",
- " <th>PC-2</th>\n",
+ " <th>Indicator</th>\n",
+ " <th>PC1_trend</th>\n",
+ " <th>PC2_trend</th>\n",
+ " <th>PC1_range</th>\n",
+ " <th>PC2_range</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th>Use.of.contraception</th>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
+ " <th>5</th>\n",
+ " <td>General.fertility.rate</td>\n",
+ " <td>0.000305</td>\n",
+ " <td>-0.077133</td>\n",
+ " <td>2.004758</td>\n",
+ " <td>1.762531</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Ever.paid.for.sex</th>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
+ " <th>23</th>\n",
+ " <td>Mean.number.of.sexual.partners.W.Normalized</td>\n",
+ " <td>0.000500</td>\n",
+ " <td>0.002492</td>\n",
+ " <td>0.039450</td>\n",
+ " <td>0.156624</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Wife.beating.justified.W</th>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
+ " <th>24</th>\n",
+ " <td>Mean.number.of.sexual.partners.M.Normalized</td>\n",
+ " <td>0.000528</td>\n",
+ " <td>0.007611</td>\n",
+ " <td>0.080251</td>\n",
+ " <td>0.185190</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Wife.beating.justified.M</th>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
+ " <th>11</th>\n",
+ " <td>Number.of.wives.1</td>\n",
+ " <td>-0.006410</td>\n",
+ " <td>-0.056091</td>\n",
+ " <td>2.286933</td>\n",
+ " <td>1.893212</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Unprotected.paid.sex</th>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
+ " <th>4</th>\n",
+ " <td>Unprotected.paid.sex</td>\n",
+ " <td>-0.006818</td>\n",
+ " <td>0.002266</td>\n",
+ " <td>0.372445</td>\n",
+ " <td>0.777407</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
+ " <th>8</th>\n",
+ " <td>Number.of.co.wives.0</td>\n",
+ " <td>-0.009230</td>\n",
+ " <td>-0.037069</td>\n",
+ " <td>2.427301</td>\n",
+ " <td>2.659495</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Christian</th>\n",
- " <td>27.943851</td>\n",
- " <td>5.617072</td>\n",
+ " <th>12</th>\n",
+ " <td>Number.of.wives.2</td>\n",
+ " <td>-0.009819</td>\n",
+ " <td>-0.056923</td>\n",
+ " <td>2.301327</td>\n",
+ " <td>1.889366</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Muslim</th>\n",
- " <td>27.695426</td>\n",
- " <td>8.416423</td>\n",
+ " <th>40</th>\n",
+ " <td>Folk.Religion</td>\n",
+ " <td>0.016661</td>\n",
+ " <td>-0.015391</td>\n",
+ " <td>2.595095</td>\n",
+ " <td>2.604819</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Folk.Religion</th>\n",
- " <td>0.900068</td>\n",
- " <td>1.103131</td>\n",
+ " <th>1</th>\n",
+ " <td>Ever.paid.for.sex</td>\n",
+ " <td>0.019022</td>\n",
+ " <td>0.103497</td>\n",
+ " <td>1.858164</td>\n",
+ " <td>4.026869</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Unaffiliated.Religion</th>\n",
- " <td>0.420607</td>\n",
- " <td>1.583120</td>\n",
+ " <th>41</th>\n",
+ " <td>Unaffiliated.Religion</td>\n",
+ " <td>0.019877</td>\n",
+ " <td>0.009976</td>\n",
+ " <td>0.718751</td>\n",
+ " <td>1.222329</td>\n",
" </tr>\n",
" <tr>\n",
- " <th>Other.Religion</th>\n",
- " <td>0.235233</td>\n",
- " <td>0.116333</td>\n",
+ " <th>19</th>\n",
+ " <td>Justified.condom.if.husband.has.STI.W</td>\n",
+ " <td>-0.023989</td>\n",
+ " <td>-0.207548</td>\n",
+ " <td>8.313688</td>\n",
+ " <td>5.137060</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>22</th>\n",
+ " <td>Unprotected.higher.risk.sex.M</td>\n",
+ " <td>-0.042564</td>\n",
+ " <td>0.030637</td>\n",
+ " <td>3.395922</td>\n",
+ " <td>7.001835</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>Wife.beating.justified.M</td>\n",
+ " <td>-0.056227</td>\n",
+ " <td>-0.365827</td>\n",
+ " <td>3.570065</td>\n",
+ " <td>9.375772</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>42</th>\n",
+ " <td>Other.Religion</td>\n",
+ " <td>-0.063098</td>\n",
+ " <td>-0.019807</td>\n",
+ " <td>0.898454</td>\n",
+ " <td>0.570154</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>14</th>\n",
+ " <td>First.sex.by.15.M</td>\n",
+ " <td>0.066412</td>\n",
+ " <td>0.039541</td>\n",
+ " <td>2.354873</td>\n",
+ " <td>2.814929</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>36</th>\n",
+ " <td>Wealth.index.Gini</td>\n",
+ " <td>-0.075649</td>\n",
+ " <td>0.045832</td>\n",
+ " <td>3.460425</td>\n",
+ " <td>2.222634</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>35</th>\n",
+ " <td>Age</td>\n",
+ " <td>-0.083839</td>\n",
+ " <td>0.004780</td>\n",
+ " <td>1.859557</td>\n",
+ " <td>0.853409</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>9</th>\n",
+ " <td>Number.of.co.wives.1</td>\n",
+ " <td>0.106171</td>\n",
+ " <td>-0.047282</td>\n",
+ " <td>2.899337</td>\n",
+ " <td>2.747412</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>16</th>\n",
+ " <td>Knowledge.about.AIDS.M</td>\n",
+ " <td>0.109933</td>\n",
+ " <td>0.264535</td>\n",
+ " <td>5.656438</td>\n",
+ " <td>5.781273</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>20</th>\n",
+ " <td>Justified.condom.if.husband.has.STI.M</td>\n",
+ " <td>-0.115044</td>\n",
+ " <td>-0.060368</td>\n",
+ " <td>4.007779</td>\n",
+ " <td>2.457852</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>Wife.beating.justified.W</td>\n",
+ " <td>-0.116482</td>\n",
+ " <td>-0.080153</td>\n",
+ " <td>9.136705</td>\n",
+ " <td>12.964877</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>39</th>\n",
+ " <td>Muslim</td>\n",
+ " <td>0.117888</td>\n",
+ " <td>0.300165</td>\n",
+ " <td>11.644737</td>\n",
+ " <td>14.554822</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>18</th>\n",
+ " <td>Buy.from.shopkeeper.with.AIDS.M</td>\n",
+ " <td>0.120645</td>\n",
+ " <td>0.381866</td>\n",
+ " <td>5.592712</td>\n",
+ " <td>7.300826</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>30</th>\n",
+ " <td>Access.to.media.W</td>\n",
+ " <td>-0.128271</td>\n",
+ " <td>0.050166</td>\n",
+ " <td>3.922019</td>\n",
+ " <td>3.258055</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>13</th>\n",
+ " <td>First.sex.by.15.W</td>\n",
+ " <td>-0.133545</td>\n",
+ " <td>-0.083092</td>\n",
+ " <td>2.975676</td>\n",
+ " <td>3.233123</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>31</th>\n",
+ " <td>Access.to.media.M</td>\n",
+ " <td>-0.150138</td>\n",
+ " <td>0.189041</td>\n",
+ " <td>4.014457</td>\n",
+ " <td>5.972910</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>10</th>\n",
+ " <td>Number.of.co.wives.2</td>\n",
+ " <td>-0.152257</td>\n",
+ " <td>-0.062677</td>\n",
+ " <td>3.429491</td>\n",
+ " <td>1.742908</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>17</th>\n",
+ " <td>Buy.from.shopkeeper.with.AIDS.W</td>\n",
+ " <td>0.163824</td>\n",
+ " <td>0.259484</td>\n",
+ " <td>8.862844</td>\n",
+ " <td>4.923680</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>7</th>\n",
+ " <td>Married.or.in.union.M</td>\n",
+ " <td>-0.168499</td>\n",
+ " <td>-0.030781</td>\n",
+ " <td>4.805114</td>\n",
+ " <td>2.642024</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>34</th>\n",
+ " <td>Female.headed.household</td>\n",
+ " <td>-0.177425</td>\n",
+ " <td>0.028594</td>\n",
+ " <td>3.637561</td>\n",
+ " <td>1.448882</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>38</th>\n",
+ " <td>Christian</td>\n",
+ " <td>0.178027</td>\n",
+ " <td>0.064581</td>\n",
+ " <td>8.529311</td>\n",
+ " <td>9.573503</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>32</th>\n",
+ " <td>Women.who.work</td>\n",
+ " <td>-0.188090</td>\n",
+ " <td>0.113007</td>\n",
+ " <td>8.235155</td>\n",
+ " <td>4.539865</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>21</th>\n",
+ " <td>Unprotected.higher.risk.sex.W</td>\n",
+ " <td>-0.189581</td>\n",
+ " <td>0.113000</td>\n",
+ " <td>3.800467</td>\n",
+ " <td>4.877162</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>27</th>\n",
+ " <td>Married.women.who.disagree.with.wife.beating</td>\n",
+ " <td>-0.208154</td>\n",
+ " <td>-0.246119</td>\n",
+ " <td>9.828834</td>\n",
+ " <td>14.863317</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>6</th>\n",
+ " <td>Married.or.in.union.W</td>\n",
+ " <td>-0.225589</td>\n",
+ " <td>0.051262</td>\n",
+ " <td>6.120360</td>\n",
+ " <td>3.465814</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>Use.of.contraception</td>\n",
+ " <td>0.228375</td>\n",
+ " <td>-0.171689</td>\n",
+ " <td>4.219530</td>\n",
+ " <td>3.710710</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>15</th>\n",
+ " <td>Knowledge.about.AIDS.W</td>\n",
+ " <td>0.249106</td>\n",
+ " <td>0.225979</td>\n",
+ " <td>6.237221</td>\n",
+ " <td>6.903173</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>37</th>\n",
+ " <td>rural</td>\n",
+ " <td>0.277656</td>\n",
+ " <td>0.194860</td>\n",
+ " <td>6.719365</td>\n",
+ " <td>11.974992</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>25</th>\n",
+ " <td>Men.circumcised</td>\n",
+ " <td>-0.357294</td>\n",
+ " <td>-0.171994</td>\n",
+ " <td>10.546517</td>\n",
+ " <td>8.189396</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>33</th>\n",
+ " <td>Men.who.work</td>\n",
+ " <td>-0.407904</td>\n",
+ " <td>0.032341</td>\n",
+ " <td>10.625329</td>\n",
+ " <td>4.029093</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>28</th>\n",
+ " <td>Literate.W</td>\n",
+ " <td>-0.412874</td>\n",
+ " <td>-0.265778</td>\n",
+ " <td>8.390357</td>\n",
+ " <td>7.463483</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>26</th>\n",
+ " <td>Married.women.participating.in.decisions</td>\n",
+ " <td>0.453592</td>\n",
+ " <td>-0.017905</td>\n",
+ " <td>11.541291</td>\n",
+ " <td>4.637108</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>29</th>\n",
+ " <td>Literate.M</td>\n",
+ " <td>-0.460485</td>\n",
+ " <td>-0.153224</td>\n",
+ " <td>8.175207</td>\n",
+ " <td>4.645954</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
- "<p>86 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
- " PC-1 PC-2\n",
- "Use.of.contraception 0.000000 0.000000\n",
- "Ever.paid.for.sex 0.000000 0.000000\n",
- "Wife.beating.justified.W 0.000000 0.000000\n",
- "Wife.beating.justified.M 0.000000 0.000000\n",
- "Unprotected.paid.sex 0.000000 0.000000\n",
- "... ... ...\n",
- "Christian 27.943851 5.617072\n",
- "Muslim 27.695426 8.416423\n",
- "Folk.Religion 0.900068 1.103131\n",
- "Unaffiliated.Religion 0.420607 1.583120\n",
- "Other.Religion 0.235233 0.116333\n",
+ " Indicator PC1_trend PC2_trend \\\n",
+ "5 General.fertility.rate 0.000305 -0.077133 \n",
+ "23 Mean.number.of.sexual.partners.W.Normalized 0.000500 0.002492 \n",
+ "24 Mean.number.of.sexual.partners.M.Normalized 0.000528 0.007611 \n",
+ "11 Number.of.wives.1 -0.006410 -0.056091 \n",
+ "4 Unprotected.paid.sex -0.006818 0.002266 \n",
+ "8 Number.of.co.wives.0 -0.009230 -0.037069 \n",
+ "12 Number.of.wives.2 -0.009819 -0.056923 \n",
+ "40 Folk.Religion 0.016661 -0.015391 \n",
+ "1 Ever.paid.for.sex 0.019022 0.103497 \n",
+ "41 Unaffiliated.Religion 0.019877 0.009976 \n",
+ "19 Justified.condom.if.husband.has.STI.W -0.023989 -0.207548 \n",
+ "22 Unprotected.higher.risk.sex.M -0.042564 0.030637 \n",
+ "3 Wife.beating.justified.M -0.056227 -0.365827 \n",
+ "42 Other.Religion -0.063098 -0.019807 \n",
+ "14 First.sex.by.15.M 0.066412 0.039541 \n",
+ "36 Wealth.index.Gini -0.075649 0.045832 \n",
+ "35 Age -0.083839 0.004780 \n",
+ "9 Number.of.co.wives.1 0.106171 -0.047282 \n",
+ "16 Knowledge.about.AIDS.M 0.109933 0.264535 \n",
+ "20 Justified.condom.if.husband.has.STI.M -0.115044 -0.060368 \n",
+ "2 Wife.beating.justified.W -0.116482 -0.080153 \n",
+ "39 Muslim 0.117888 0.300165 \n",
+ "18 Buy.from.shopkeeper.with.AIDS.M 0.120645 0.381866 \n",
+ "30 Access.to.media.W -0.128271 0.050166 \n",
+ "13 First.sex.by.15.W -0.133545 -0.083092 \n",
+ "31 Access.to.media.M -0.150138 0.189041 \n",
+ "10 Number.of.co.wives.2 -0.152257 -0.062677 \n",
+ "17 Buy.from.shopkeeper.with.AIDS.W 0.163824 0.259484 \n",
+ "7 Married.or.in.union.M -0.168499 -0.030781 \n",
+ "34 Female.headed.household -0.177425 0.028594 \n",
+ "38 Christian 0.178027 0.064581 \n",
+ "32 Women.who.work -0.188090 0.113007 \n",
+ "21 Unprotected.higher.risk.sex.W -0.189581 0.113000 \n",
+ "27 Married.women.who.disagree.with.wife.beating -0.208154 -0.246119 \n",
+ "6 Married.or.in.union.W -0.225589 0.051262 \n",
+ "0 Use.of.contraception 0.228375 -0.171689 \n",
+ "15 Knowledge.about.AIDS.W 0.249106 0.225979 \n",
+ "37 rural 0.277656 0.194860 \n",
+ "25 Men.circumcised -0.357294 -0.171994 \n",
+ "33 Men.who.work -0.407904 0.032341 \n",
+ "28 Literate.W -0.412874 -0.265778 \n",
+ "26 Married.women.participating.in.decisions 0.453592 -0.017905 \n",
+ "29 Literate.M -0.460485 -0.153224 \n",
"\n",
- "[86 rows x 2 columns]"
+ " PC1_range PC2_range \n",
+ "5 2.004758 1.762531 \n",
+ "23 0.039450 0.156624 \n",
+ "24 0.080251 0.185190 \n",
+ "11 2.286933 1.893212 \n",
+ "4 0.372445 0.777407 \n",
+ "8 2.427301 2.659495 \n",
+ "12 2.301327 1.889366 \n",
+ "40 2.595095 2.604819 \n",
+ "1 1.858164 4.026869 \n",
+ "41 0.718751 1.222329 \n",
+ "19 8.313688 5.137060 \n",
+ "22 3.395922 7.001835 \n",
+ "3 3.570065 9.375772 \n",
+ "42 0.898454 0.570154 \n",
+ "14 2.354873 2.814929 \n",
+ "36 3.460425 2.222634 \n",
+ "35 1.859557 0.853409 \n",
+ "9 2.899337 2.747412 \n",
+ "16 5.656438 5.781273 \n",
+ "20 4.007779 2.457852 \n",
+ "2 9.136705 12.964877 \n",
+ "39 11.644737 14.554822 \n",
+ "18 5.592712 7.300826 \n",
+ "30 3.922019 3.258055 \n",
+ "13 2.975676 3.233123 \n",
+ "31 4.014457 5.972910 \n",
+ "10 3.429491 1.742908 \n",
+ "17 8.862844 4.923680 \n",
+ "7 4.805114 2.642024 \n",
+ "34 3.637561 1.448882 \n",
+ "38 8.529311 9.573503 \n",
+ "32 8.235155 4.539865 \n",
+ "21 3.800467 4.877162 \n",
+ "27 9.828834 14.863317 \n",
+ "6 6.120360 3.465814 \n",
+ "0 4.219530 3.710710 \n",
+ "15 6.237221 6.903173 \n",
+ "37 6.719365 11.974992 \n",
+ "25 10.546517 8.189396 \n",
+ "33 10.625329 4.029093 \n",
+ "28 8.390357 7.463483 \n",
+ "26 11.541291 4.637108 \n",
+ "29 8.175207 4.645954 "
]
},
- "execution_count": 23,
+ "execution_count": 224,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "fake = loadings.copy()\n",
- "fake.iloc[:,:] = 0\n",
- "blabliblou = fake.append(np.abs(loadings))\n",
- "blabliblou"
+ "sortby='PC1_trend'\n",
+ "PC_trends.iloc[PC_trends[sortby].abs().argsort()]"
]
},
{
"cell_type": "code",
- "execution_count": 24,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- },
- "slideshow": {
- "slide_type": "slide"
- }
- },
+ "execution_count": 70,
+ "metadata": {},
"outputs": [
{
"data": {
@@ -6487,1205 +13703,4860 @@
},
"data": [
{
- "hovertemplate": "index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>",
+ "customdata": [
+ [
+ 2002
+ ],
+ [
+ 2003
+ ],
+ [
+ 2004
+ ],
+ [
+ 2005
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{\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"range\": [0, 34.85408269551064], \"title\": {\"text\": \"PC-1\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"range\": [0, 23.882430991118675], \"title\": {\"text\": \"PC-2\"}}}, {\"responsive\": true} ).then(function(){\n",
" \n",
- "var gd = document.getElementById('7d3d67dc-ed25-41c9-95a0-3bfb8487bd78');\n",
+ "var gd = document.getElementById('fa840f0c-e36b-4e75-b38c-6097915b10a8');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
@@ -8576,19 +19445,335 @@
}
],
"source": [
- "# Plot loadings\n",
- "#fig = px.scatter(loadings.reset_index(), x='PC-1', y='PC-2', color='index', text='index')\n",
- "fig = px.line(blabliblou.reset_index(), x='PC-1', y='PC-2', color='index', text='index')\n",
- "fig.update_traces(textposition='top center')\n",
- "fig.update_layout(height=800)\n",
- "#fig = px.scatter(norm_loadings, x='PC-1', y='PC-2',hover_name=loadings.index)\n",
- "fig.show()"
+ "# Plot trajectories\n",
+ "diff = 3\n",
+ "\n",
+ "figbox = px.scatter(\n",
+ " loadings_df.abs().reset_index(), \n",
+ " x=\"PC-1\",\n",
+ " y=\"PC-2\",\n",
+ " hover_name='index',\n",
+ " color='index',\n",
+ " hover_data=['Survey'], \n",
+ " range_x=[0,loadings_df['PC-1'].max()+diff],\n",
+ " range_y=[0,loadings_df['PC-2'].max()+diff]\n",
+ ")\n",
+ "\n",
+ "figbox.update_layout(height=800)\n",
+ "\n",
+ "#figbox.write_html('../../../thesis_prelim_presentation/plots/pca_change.html', auto_open=True)\n",
+ "\n",
+ "figbox.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Normal loadings [2014-2018]"
]
},
{
"cell_type": "code",
- "execution_count": 302,
+ "execution_count": 316,
"metadata": {},
+ "outputs": [],
+ "source": [
+ "#n = 2\n",
+ "n = 0.95\n",
+ "pca = PCA(n_components = n)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 317,
+ "metadata": {
+ "extensions": {
+ "jupyter_dashboards": {
+ "activeView": "grid_default",
+ "views": {
+ "grid_default": {
+ "col": null,
+ "height": 2,
+ "hidden": true,
+ "row": null,
+ "width": 2
+ }
+ }
+ }
+ }
+ },
+ "outputs": [],
+ "source": [
+ "# Fit model with data from the last group\n",
+ "if use_all == False:\n",
+ " if use_zscore == False:\n",
+ " X2D_G4 = pca.fit(G[max_year].drop(columns=removed)) \n",
+ " elif use_zscore == True:\n",
+ " X2D_G4 = pca.fit(G[max_year].drop(columns=removed).apply(zscore)) \n",
+ "if use_all == True:\n",
+ " if use_zscore == False:\n",
+ " X2D_G4 = pca.fit(df.drop(columns=removed)) \n",
+ " elif use_zscore == True:\n",
+ " X2D_G4 = pca.fit(df.drop(columns=removed).apply(zscore)) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 318,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "components = []\n",
+ "for i in range(len(pca.explained_variance_ratio_)):\n",
+ " components.append('PC-'+str(i+1))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 319,
+ "metadata": {
+ "extensions": {
+ "jupyter_dashboards": {
+ "activeView": "grid_default",
+ "views": {
+ "grid_default": {
+ "col": null,
+ "height": 2,
+ "hidden": true,
+ "row": null,
+ "width": 2
+ }
+ }
+ }
+ }
+ },
+ "outputs": [],
+ "source": [
+ "# Create a similar dict but composed of the PCs\n",
+ "PCG={}\n",
+ "\n",
+ "for start_year in range(min_year,max_year+1):\n",
+ " if use_zscore == False:\n",
+ " PCG[start_year]=pd.DataFrame(pca.transform(G[start_year].drop(columns=removed)), columns=components, index=G[start_year].drop(columns=removed).index)\n",
+ " elif use_zscore == True:\n",
+ " PCG[start_year]=pd.DataFrame(pca.transform(G[start_year].drop(columns=removed).apply(zscore)), columns=components, index=G[start_year].drop(columns=removed).index)\n",
+ "\n",
+ "#PCG[start_year]=pd.DataFrame(pca.transform(G[start_year].drop(columns=['iso','cow','GY'])), columns=components, index=G[start_year].index)\n",
+ "#PCG_norm[start_year]=pd.DataFrame(pca_norm.transform(G[start_year].drop(columns=['iso','cow','GY']).apply(zscore)), columns=components, index=G[start_year].index)\n",
+ "#PCG[start_year]=pd.DataFrame(pca_norm.transform(G[start_year].drop(columns=['iso','cow','GY']).apply(zscore)), columns=components, index=G[start_year].index) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 320,
+ "metadata": {
+ "extensions": {
+ "jupyter_dashboards": {
+ "activeView": "grid_default",
+ "views": {
+ "grid_default": {
+ "col": null,
+ "height": 2,
+ "hidden": true,
+ "row": null,
+ "width": 2
+ }
+ }
+ }
+ }
+ },
+ "outputs": [],
+ "source": [
+ "# Calculate loadings if you want\n",
+ "loadings=pd.DataFrame(pca.components_.T*np.sqrt(pca.explained_variance_), columns=components, index=G[min_year].drop(columns=removed).columns)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 228,
+ "metadata": {
+ "extensions": {
+ "jupyter_dashboards": {
+ "activeView": "grid_default",
+ "views": {
+ "grid_default": {
+ "col": null,
+ "height": 2,
+ "hidden": true,
+ "row": null,
+ "width": 2
+ }
+ }
+ }
+ }
+ },
+ "outputs": [],
+ "source": [
+ "def minmax(X):\n",
+ " return (X - X.min()) / (X.max() - X.min())\n",
+ "\n",
+ "norm_loadings = minmax(loadings)\n",
+ "#norm_loadings_true = minmax(loadings_True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 230,
+ "metadata": {
+ "extensions": {
+ "jupyter_dashboards": {
+ "activeView": "grid_default",
+ "views": {
+ "grid_default": {
+ "col": null,
+ "height": 2,
+ "hidden": true,
+ "row": null,
+ "width": 2
+ }
+ }
+ }
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>PC-1</th>\n",
+ " <th>PC-2</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>Use.of.contraception</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Ever.paid.for.sex</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wife.beating.justified.W</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Wife.beating.justified.M</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unprotected.paid.sex</th>\n",
+ " <td>0.000000</td>\n",
+ " <td>0.000000</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>...</th>\n",
+ " <td>...</td>\n",
+ " <td>...</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Christian</th>\n",
+ " <td>27.943851</td>\n",
+ " <td>5.617072</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Muslim</th>\n",
+ " <td>27.695426</td>\n",
+ " <td>8.416423</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Folk.Religion</th>\n",
+ " <td>0.900068</td>\n",
+ " <td>1.103131</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Unaffiliated.Religion</th>\n",
+ " <td>0.420607</td>\n",
+ " <td>1.583120</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>Other.Religion</th>\n",
+ " <td>0.235233</td>\n",
+ " <td>0.116333</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>86 rows × 2 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " PC-1 PC-2\n",
+ "Use.of.contraception 0.000000 0.000000\n",
+ "Ever.paid.for.sex 0.000000 0.000000\n",
+ "Wife.beating.justified.W 0.000000 0.000000\n",
+ "Wife.beating.justified.M 0.000000 0.000000\n",
+ "Unprotected.paid.sex 0.000000 0.000000\n",
+ "... ... ...\n",
+ "Christian 27.943851 5.617072\n",
+ "Muslim 27.695426 8.416423\n",
+ "Folk.Religion 0.900068 1.103131\n",
+ "Unaffiliated.Religion 0.420607 1.583120\n",
+ "Other.Religion 0.235233 0.116333\n",
+ "\n",
+ "[86 rows x 2 columns]"
+ ]
+ },
+ "execution_count": 230,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "fake = loadings.copy()\n",
+ "fake.iloc[:,:] = 0\n",
+ "blabliblou = fake.append(np.abs(loadings))\n",
+ "blabliblou"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 231,
+ "metadata": {
+ "extensions": {
+ "jupyter_dashboards": {
+ "activeView": "grid_default",
+ "views": {
+ "grid_default": {
+ "col": null,
+ "height": 2,
+ "hidden": true,
+ "row": null,
+ "width": 2
+ }
+ }
+ }
+ },
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
"outputs": [
{
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- "mode": "markers+text",
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},
{
"hovertemplate": "index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>",
"legendgroup": "Ever.paid.for.sex",
- "marker": {
+ "line": {
"color": "#EF553B",
- "symbol": "circle"
+ "dash": "solid"
},
- "mode": "markers+text",
+ "mode": "lines+markers+text",
"name": "Ever.paid.for.sex",
"orientation": "v",
"showlegend": true,
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+ "Ever.paid.for.sex",
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+ "dash": "solid"
},
- "mode": "markers+text",
+ "mode": "lines+markers+text",
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"orientation": "v",
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+ "dash": "solid"
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"hovertemplate": "index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>",
"legendgroup": "Unprotected.paid.sex",
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- "symbol": "circle"
+ "dash": "solid"
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- "mode": "markers+text",
+ "mode": "lines+markers+text",
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\"showlegend\": true, \"text\": [\"Access.to.media.W\", \"Access.to.media.W\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 0.910673512868346], \"xaxis\": \"x\", \"y\": [0.0, 2.5080571602065698], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Access.to.media.M\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Access.to.media.M\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Access.to.media.M\", \"Access.to.media.M\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 2.7046835790753323], \"xaxis\": \"x\", \"y\": [0.0, 5.8877247872442835], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Women.who.work\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Women.who.work\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Women.who.work\", \"Women.who.work\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 2.158903152500601], \"xaxis\": \"x\", \"y\": [0.0, 4.32796968073196], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Men.who.work\", \"line\": {\"color\": \"#ab63fa\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Men.who.work\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Men.who.work\", \"Men.who.work\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 2.639413866054291], \"xaxis\": \"x\", \"y\": [0.0, 1.9494906802895522], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Female.headed.household\", \"line\": {\"color\": \"#FFA15A\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Female.headed.household\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Female.headed.household\", \"Female.headed.household\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 4.284438388308283], \"xaxis\": \"x\", \"y\": [0.0, 1.0744016809667811], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Age\", \"line\": {\"color\": \"#19d3f3\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Age\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Age\", \"Age\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 0.8491220756993401], \"xaxis\": \"x\", \"y\": [0.0, 0.3785619463888939], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Wealth.index.Gini\", \"line\": {\"color\": \"#FF6692\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Wealth.index.Gini\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Wealth.index.Gini\", \"Wealth.index.Gini\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 2.614580767813977], \"xaxis\": \"x\", \"y\": [0.0, 2.2763154315847958], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"rural\", \"line\": {\"color\": \"#B6E880\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"rural\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"rural\", \"rural\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 5.939823608495054], \"xaxis\": \"x\", \"y\": [0.0, 11.953731068533234], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Christian\", \"line\": {\"color\": \"#FF97FF\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Christian\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Christian\", \"Christian\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 27.943850778916822], \"xaxis\": \"x\", \"y\": [0.0, 5.617071983913638], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Muslim\", \"line\": {\"color\": \"#FECB52\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Muslim\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Muslim\", \"Muslim\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 27.695425968637032], \"xaxis\": \"x\", \"y\": [0.0, 8.416422848524212], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Folk.Religion\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Folk.Religion\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Folk.Religion\", \"Folk.Religion\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 0.9000676411117959], \"xaxis\": \"x\", \"y\": [0.0, 1.1031308894953293], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Unaffiliated.Religion\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Unaffiliated.Religion\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Unaffiliated.Religion\", \"Unaffiliated.Religion\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 0.4206072701517245], \"xaxis\": \"x\", \"y\": [0.0, 1.5831195079658666], \"yaxis\": \"y\"}, {\"hovertemplate\": \"index=%{text}<br>PC-1=%{x}<br>PC-2=%{y}<extra></extra>\", \"legendgroup\": \"Other.Religion\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"mode\": \"lines+markers+text\", \"name\": \"Other.Religion\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Other.Religion\", \"Other.Religion\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [0.0, 0.23523253478427852], \"xaxis\": \"x\", \"y\": [0.0, 0.11633272651524611], \"yaxis\": \"y\"}], {\"height\": 800, \"legend\": {\"title\": {\"text\": \"index\"}, \"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"PC-1\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"PC-2\"}}}, {\"responsive\": true} ).then(function(){\n",
" \n",
- "var gd = document.getElementById('4142f3fa-c33a-4f24-9ddc-67fbb607709b');\n",
+ "var gd = document.getElementById('dfaa363e-b104-4a57-ab97-e49e10c03c7f');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
@@ -10634,8 +21873,8 @@
],
"source": [
"# Plot loadings\n",
- "fig = px.scatter(loadings_1.reset_index(), x='PC-1', y='PC-2', color='index', text='index')\n",
- "#fig = px.line(blabliblou.reset_index(), x='PC-1', y='PC-2', color='index', text='index')\n",
+ "#fig = px.scatter(loadings.reset_index(), x='PC-1', y='PC-2', color='index', text='index')\n",
+ "fig = px.line(blabliblou.reset_index(), x='PC-1', y='PC-2', color='index', text='index')\n",
"fig.update_traces(textposition='top center')\n",
"fig.update_layout(height=800)\n",
"#fig = px.scatter(norm_loadings, x='PC-1', y='PC-2',hover_name=loadings.index)\n",
@@ -10644,69 +21883,7 @@
},
{
"cell_type": "code",
- "execution_count": 303,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "#G[start_year].drop(columns=['iso','cow','GY']).shape[1]\n",
- "#pd.DataFrame(pca.transform(np.eye(G[start_year].drop(columns=['iso','cow','GY']).shape[1])))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 391,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [
- {
- "ename": "KeyError",
- "evalue": "'PC-2'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-391-e01f3248f75b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m#Sort the loadings by absolute value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mloadings\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2016\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mloadings\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'PC-2'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mabs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margsort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m: 'PC-2'"
- ]
- }
- ],
- "source": [
- "#Sort the loadings by absolute value\n",
- "loadings.iloc[loadings['PC-2'].abs().argsort()]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
+ "execution_count": 238,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -10745,7 +21922,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 239,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -10780,7 +21957,7 @@
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{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 240,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -10805,7 +21982,7 @@
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{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 241,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -10830,7 +22007,7 @@
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{
"cell_type": "code",
- "execution_count": 45,
+ "execution_count": 242,
"metadata": {},
"outputs": [],
"source": [
@@ -10841,7 +22018,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 243,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -10970,374 +22147,7 @@
},
{
"cell_type": "code",
- "execution_count": 53,
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- "activeView": "grid_default",
- "views": {
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- "col": null,
- "height": 2,
- "hidden": true,
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- " vertical-align: middle;\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>PC-1</th>\n",
- " <th>PC-2</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>Use.of.contraception</th>\n",
- " <td>-10.056854</td>\n",
- " <td>-2.436320</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Ever.paid.for.sex</th>\n",
- " <td>-2.339932</td>\n",
- " <td>0.187879</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Wife.beating.justified.W</th>\n",
- " <td>8.142672</td>\n",
- " <td>-12.644560</td>\n",
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- " <th>Wife.beating.justified.M</th>\n",
- " <td>2.808450</td>\n",
- " <td>-6.673154</td>\n",
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- " <tr>\n",
- " <th>Unprotected.paid.sex</th>\n",
- " <td>-0.010851</td>\n",
- " <td>0.192565</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>General.fertility.rate</th>\n",
- " <td>1.883246</td>\n",
- " <td>-0.078484</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Married.or.in.union.W</th>\n",
- " <td>6.404839</td>\n",
- " <td>-2.373397</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Married.or.in.union.M</th>\n",
- " <td>1.677675</td>\n",
- " <td>-2.212818</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Number.of.co.wives.0</th>\n",
- " <td>-9.657487</td>\n",
- " <td>-1.212667</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Number.of.co.wives.1</th>\n",
- " <td>8.216544</td>\n",
- " <td>0.360226</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Number.of.co.wives.2</th>\n",
- " <td>2.017054</td>\n",
- " <td>0.663322</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Number.of.wives.1</th>\n",
- " <td>-5.692713</td>\n",
- " <td>-0.094292</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Number.of.wives.2</th>\n",
- " <td>5.692713</td>\n",
- " <td>0.094292</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>First.sex.by.15.W</th>\n",
- " <td>3.939164</td>\n",
- " <td>0.906044</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>First.sex.by.15.M</th>\n",
- " <td>-2.202848</td>\n",
- " <td>3.136269</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Knowledge.about.AIDS.W</th>\n",
- " <td>-13.598144</td>\n",
- " <td>-3.884379</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Knowledge.about.AIDS.M</th>\n",
- " <td>-10.976110</td>\n",
- " <td>-3.990881</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Buy.from.shopkeeper.with.AIDS.W</th>\n",
- " <td>-18.896295</td>\n",
- " <td>-6.303723</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Buy.from.shopkeeper.with.AIDS.M</th>\n",
- " <td>-18.063655</td>\n",
- " <td>-7.695805</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Justified.condom.if.husband.has.STI.W</th>\n",
- " <td>-14.367483</td>\n",
- " <td>2.173830</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Justified.condom.if.husband.has.STI.M</th>\n",
- " <td>-5.868199</td>\n",
- " <td>-1.866598</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Unprotected.higher.risk.sex.W</th>\n",
- " <td>-1.076275</td>\n",
- " <td>5.227720</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Unprotected.higher.risk.sex.M</th>\n",
- " <td>1.009951</td>\n",
- " <td>5.771009</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Mean.number.of.sexual.partners.W.Normalized</th>\n",
- " <td>-0.039707</td>\n",
- " <td>0.101757</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Mean.number.of.sexual.partners.M.Normalized</th>\n",
- " <td>-0.050429</td>\n",
- " <td>0.157621</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Men.circumcised</th>\n",
- " <td>24.186164</td>\n",
- " <td>14.752629</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Married.women.participating.in.decisions</th>\n",
- " <td>-17.527384</td>\n",
- " <td>4.150280</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Married.women.who.disagree.with.wife.beating</th>\n",
- " <td>-7.224448</td>\n",
- " <td>11.482953</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Literate.W</th>\n",
- " <td>-19.767279</td>\n",
- " <td>1.628534</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Literate.M</th>\n",
- " <td>-12.717439</td>\n",
- " <td>3.061619</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Access.to.media.W</th>\n",
- " <td>-0.910674</td>\n",
- " <td>2.508057</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Access.to.media.M</th>\n",
- " <td>-2.704684</td>\n",
- " <td>5.887725</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Women.who.work</th>\n",
- " <td>-2.158903</td>\n",
- " <td>4.327970</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Men.who.work</th>\n",
- " <td>2.639414</td>\n",
- " <td>-1.949491</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Female.headed.household</th>\n",
- " <td>-4.284438</td>\n",
- " <td>1.074402</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Age</th>\n",
- " <td>-0.849122</td>\n",
- " <td>-0.378562</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Wealth.index.Gini</th>\n",
- " <td>-2.614581</td>\n",
- " <td>2.276315</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>rural</th>\n",
- " <td>-5.939824</td>\n",
- " <td>-11.953731</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Christian</th>\n",
- " <td>-27.943851</td>\n",
- " <td>5.617072</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Muslim</th>\n",
- " <td>27.695426</td>\n",
- " <td>-8.416423</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Folk.Religion</th>\n",
- " <td>0.900068</td>\n",
- " <td>1.103131</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Unaffiliated.Religion</th>\n",
- " <td>-0.420607</td>\n",
- " <td>1.583120</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>Other.Religion</th>\n",
- " <td>-0.235233</td>\n",
- " <td>0.116333</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " PC-1 PC-2\n",
- "Use.of.contraception -10.056854 -2.436320\n",
- "Ever.paid.for.sex -2.339932 0.187879\n",
- "Wife.beating.justified.W 8.142672 -12.644560\n",
- "Wife.beating.justified.M 2.808450 -6.673154\n",
- "Unprotected.paid.sex -0.010851 0.192565\n",
- "General.fertility.rate 1.883246 -0.078484\n",
- "Married.or.in.union.W 6.404839 -2.373397\n",
- "Married.or.in.union.M 1.677675 -2.212818\n",
- "Number.of.co.wives.0 -9.657487 -1.212667\n",
- "Number.of.co.wives.1 8.216544 0.360226\n",
- "Number.of.co.wives.2 2.017054 0.663322\n",
- "Number.of.wives.1 -5.692713 -0.094292\n",
- "Number.of.wives.2 5.692713 0.094292\n",
- "First.sex.by.15.W 3.939164 0.906044\n",
- "First.sex.by.15.M -2.202848 3.136269\n",
- "Knowledge.about.AIDS.W -13.598144 -3.884379\n",
- "Knowledge.about.AIDS.M -10.976110 -3.990881\n",
- "Buy.from.shopkeeper.with.AIDS.W -18.896295 -6.303723\n",
- "Buy.from.shopkeeper.with.AIDS.M -18.063655 -7.695805\n",
- "Justified.condom.if.husband.has.STI.W -14.367483 2.173830\n",
- "Justified.condom.if.husband.has.STI.M -5.868199 -1.866598\n",
- "Unprotected.higher.risk.sex.W -1.076275 5.227720\n",
- "Unprotected.higher.risk.sex.M 1.009951 5.771009\n",
- "Mean.number.of.sexual.partners.W.Normalized -0.039707 0.101757\n",
- "Mean.number.of.sexual.partners.M.Normalized -0.050429 0.157621\n",
- "Men.circumcised 24.186164 14.752629\n",
- "Married.women.participating.in.decisions -17.527384 4.150280\n",
- "Married.women.who.disagree.with.wife.beating -7.224448 11.482953\n",
- "Literate.W -19.767279 1.628534\n",
- "Literate.M -12.717439 3.061619\n",
- "Access.to.media.W -0.910674 2.508057\n",
- "Access.to.media.M -2.704684 5.887725\n",
- "Women.who.work -2.158903 4.327970\n",
- "Men.who.work 2.639414 -1.949491\n",
- "Female.headed.household -4.284438 1.074402\n",
- "Age -0.849122 -0.378562\n",
- "Wealth.index.Gini -2.614581 2.276315\n",
- "rural -5.939824 -11.953731\n",
- "Christian -27.943851 5.617072\n",
- "Muslim 27.695426 -8.416423\n",
- "Folk.Religion 0.900068 1.103131\n",
- "Unaffiliated.Religion -0.420607 1.583120\n",
- "Other.Religion -0.235233 0.116333"
- ]
- },
- "execution_count": 53,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "loadings"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 54,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "# Number of clusters we want is 3 (from inertia basically)\n",
- "#k=3#\n",
- "\n",
- "#kmeans = KMeans(n_clusters=k, random_state=0)\n",
- "\n",
- "#ccenters={}\n",
- "#clabels={}\n",
- "\n",
- "#for start_year in range(min_year,max_year+1):\n",
- " #print(start_year)\n",
- " #kmeans.fit(PCG[start_year].iloc[:,:2])\n",
- " #print(kmeans.cluster_centers_)\n",
- "\n",
- " #idx = np.argsort(kmeans.cluster_centers_.sum(axis=1))\n",
- " #lut = np.zeros_like(idx)\n",
- " #lut[idx] = np.arange(k)\n",
- " #print(lut[idx])\n",
- " #print(lut)\n",
- " #print(kmeans.labels_)\n",
- " #print(lut[kmeans.labels_])\n",
- " \n",
- " #ccenters[start_year]=[kmeans.cluster_centers_[i] for i in idx]\n",
- " #PCG[start_year]['Cluster']=lut[kmeans.labels_]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 55,
+ "execution_count": 244,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -11362,7 +22172,7 @@
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{
"cell_type": "code",
- "execution_count": 56,
+ "execution_count": 245,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -11391,7 +22201,7 @@
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{
"cell_type": "code",
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+ "execution_count": 246,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -11421,7 +22231,7 @@
},
{
"cell_type": "code",
- "execution_count": 58,
+ "execution_count": 247,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -11451,7 +22261,7 @@
},
{
"cell_type": "code",
- "execution_count": 59,
+ "execution_count": 248,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -11505,7 +22315,7 @@
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{
"cell_type": "code",
- "execution_count": 60,
+ "execution_count": 249,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -11552,7 +22362,7 @@
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{
"cell_type": "code",
- "execution_count": 68,
+ "execution_count": 250,
"metadata": {},
"outputs": [],
"source": [
@@ -11561,7 +22371,7 @@
},
{
"cell_type": "code",
- "execution_count": 123,
+ "execution_count": 252,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -11587,12 +22397,12 @@
},
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
+ "Burundi",
"Kenya",
"Lesotho",
"Malawi",
- "Namibia",
"Rwanda",
"Uganda",
"Zambia",
@@ -11602,17 +22412,17 @@
"marker": {
"color": "#890000",
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+ 7.17
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- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -11620,10 +22430,10 @@
"orientation": "v",
"showlegend": true,
"text": [
+ "Burundi",
"Kenya",
"Lesotho",
"Malawi",
- "Namibia",
"Rwanda",
"Uganda",
"Zambia",
@@ -11631,65 +22441,51 @@
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- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Angola",
"Benin",
"Cameroon",
- "Congo",
- "Congo Democratic Republic",
- "Cote d'Ivoire",
"Ethiopia",
- "Gabon",
"Ghana",
- "Liberia",
- "Mozambique",
- "Nigeria",
- "Togo"
+ "Nigeria"
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"color": "#2a6b28",
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- 48.7,
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- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
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"mode": "markers+text",
@@ -11700,74 +22496,47 @@
"Angola",
"Benin",
"Cameroon",
- "Congo",
- "Congo Democratic Republic",
- "Cote d'Ivoire",
"Ethiopia",
- "Gabon",
"Ghana",
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- "Mozambique",
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+ "Nigeria"
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- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Chad",
- "Gambia",
"Mali",
- "Niger",
- "Senegal",
- "Sierra Leone"
+ "Senegal"
],
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
"size": [
- 17.3,
- 42.8,
- 14.5,
- 24,
- 45.3,
- 49.9
+ 0.74,
+ 0.92,
+ 0.14
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -11776,34 +22545,25 @@
"showlegend": true,
"text": [
"Chad",
- "Gambia",
"Mali",
- "Niger",
- "Senegal",
- "Sierra Leone"
+ "Senegal"
],
"type": "scatter",
"x": [
106.50329786573892,
- 90.2374988942314,
- 127.53783129277707,
- 133.4451066110771,
- 104.90858582145705,
- 81.46842208112281
+ 133.55351015317075,
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],
"xaxis": "x",
"y": [
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- -53.51887497472844,
- -34.44646603905687,
- -21.034129333022356,
- -0.10942508409849645
+ -41.842037807025726,
+ -14.507777528821553
],
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -11814,7 +22574,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -11826,16 +22586,16 @@
],
"type": "scatter",
"x": [
- -64.08872713031413
+ -60.125650231098355
],
"xaxis": "x",
"y": [
- -13.268223401181201
+ -14.857210009724628
],
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -11846,7 +22606,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -11858,16 +22618,16 @@
],
"type": "scatter",
"x": [
- 19.635048851514718
+ 23.55197492968705
],
"xaxis": "x",
"y": [
- 26.43411050788179
+ 34.88680011960773
],
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -11878,7 +22638,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -11890,11 +22650,11 @@
],
"type": "scatter",
"x": [
- 107.35012376106738
+ 113.23111742355479
],
"xaxis": "x",
"y": [
- -26.829421561699057
+ -30.15437354661643
],
"yaxis": "y"
}
@@ -11903,7 +22663,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Kenya",
"Lesotho",
@@ -11917,16 +22677,16 @@
"marker": {
"color": "#890000",
"size": [
- 14.7,
- 14.5,
- 15.3,
- 23.7,
- 4.8,
- 8.4,
- 9.4
+ 4.24,
+ 24.3,
+ 10.7,
+ 18.79,
+ 3.99,
+ 5.78,
+ 12.53
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -11965,7 +22725,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -11978,15 +22738,15 @@
"marker": {
"color": "#2a6b28",
"size": [
- 5.1,
- 21.1,
- 30.634,
- 9.9,
- 3.9,
- 7.1
+ 1.5,
+ 5.24,
+ 4.95,
+ 2.25,
+ 17.73,
+ 3.51
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12022,7 +22782,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Chad",
@@ -12033,13 +22793,13 @@
"marker": {
"color": "#4f5a90",
"size": [
- 7.409000000000004,
- 2.1,
- 5.858000000000008,
- 4.2
+ 0.45,
+ 1.55,
+ 2.09,
+ 1.45
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12069,7 +22829,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -12080,7 +22840,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12101,7 +22861,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -12112,7 +22872,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12133,7 +22893,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2002<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -12144,7 +22904,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12170,7 +22930,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Kenya",
"Lesotho",
@@ -12183,15 +22943,15 @@
"marker": {
"color": "#890000",
"size": [
- 14.7,
- 14.5,
- 15.3,
- 24,
- 9.4,
- 25.8
+ 4.24,
+ 24.3,
+ 10.7,
+ 2.26,
+ 12.53,
+ 11.79
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12227,7 +22987,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -12240,15 +23000,15 @@
"marker": {
"color": "#2a6b28",
"size": [
- 5.1,
- 21.1,
- 10.3,
- 9.9,
- 3.9,
- 7.1
+ 1.5,
+ 5.24,
+ 2.79,
+ 2.25,
+ 17.73,
+ 3.51
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12284,7 +23044,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Chad",
@@ -12296,14 +23056,14 @@
"marker": {
"color": "#4f5a90",
"size": [
- 7.409000000000004,
- 2.1,
- 2.1,
- 4.2,
- 5.5
+ 0.45,
+ 1.55,
+ 0.46,
+ 1.45,
+ 0.65
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12336,7 +23096,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -12347,7 +23107,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12368,7 +23128,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -12379,7 +23139,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12400,7 +23160,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2003<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -12411,7 +23171,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12437,7 +23197,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Kenya",
"Lesotho",
@@ -12451,16 +23211,16 @@
"marker": {
"color": "#890000",
"size": [
- 14.7,
- 14.5,
- 15.3,
- 54.8,
- 24,
- 29.4,
- 25.8
+ 4.24,
+ 24.3,
+ 10.7,
+ 10.28,
+ 2.26,
+ 7.32,
+ 11.79
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12499,7 +23259,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -12512,15 +23272,15 @@
"marker": {
"color": "#2a6b28",
"size": [
- 17.7,
- 21.1,
- 10.3,
- 9.9,
- 3.9,
- 7.1
+ 0.87,
+ 5.24,
+ 2.79,
+ 2.25,
+ 17.73,
+ 3.51
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12556,7 +23316,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Chad",
@@ -12569,15 +23329,15 @@
"marker": {
"color": "#4f5a90",
"size": [
- 7.409000000000004,
- 2.1,
- 2.1,
- 7.4,
- 2.1,
- 5.5
+ 0.45,
+ 1.55,
+ 0.46,
+ 1.22,
+ 0.33,
+ 0.65
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12613,7 +23373,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -12624,7 +23384,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12645,7 +23405,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -12656,7 +23416,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12677,7 +23437,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2004<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -12688,7 +23448,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12714,7 +23474,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Kenya",
"Lesotho",
@@ -12729,17 +23489,17 @@
"marker": {
"color": "#890000",
"size": [
- 14.7,
- 14.5,
- 15.3,
- 54.8,
- 24,
- 29.4,
- 39.4,
- 25.8
+ 4.24,
+ 24.3,
+ 10.7,
+ 10.28,
+ 2.26,
+ 7.32,
+ 10.17,
+ 11.79
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12781,7 +23541,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -12796,17 +23556,17 @@
"marker": {
"color": "#2a6b28",
"size": [
- 17.7,
- 21.1,
- 10.3,
- 9.9,
- 9.9,
- 4,
- 3.9,
- 7.1
+ 0.87,
+ 5.24,
+ 2.79,
+ 0.66,
+ 2.25,
+ 1.1,
+ 17.73,
+ 3.51
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12848,7 +23608,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Chad",
@@ -12861,15 +23621,15 @@
"marker": {
"color": "#4f5a90",
"size": [
- 7.409000000000004,
- 2.1,
- 2.1,
- 7.4,
- 2.1,
- 5.5
+ 0.45,
+ 1.55,
+ 0.46,
+ 1.22,
+ 0.33,
+ 0.65
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12905,7 +23665,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -12916,7 +23676,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12937,7 +23697,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -12948,7 +23708,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -12969,7 +23729,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2005<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -12980,7 +23740,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13006,7 +23766,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Kenya",
"Lesotho",
@@ -13021,17 +23781,17 @@
"marker": {
"color": "#890000",
"size": [
- 58.4,
- 14.5,
- 15.3,
- 54.8,
- 24,
- 29.4,
- 39.4,
- 25.8
+ 4,
+ 24.3,
+ 10.7,
+ 10.28,
+ 2.26,
+ 7.32,
+ 10.17,
+ 11.79
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13073,7 +23833,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -13087,16 +23847,16 @@
"marker": {
"color": "#2a6b28",
"size": [
- 17.7,
- 21.1,
- 10.3,
- 9.9,
- 20.6,
- 4,
- 16.9
+ 0.87,
+ 5.24,
+ 2.79,
+ 0.66,
+ 1.46,
+ 1.1,
+ 2.53
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13135,7 +23895,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Chad",
"Ethiopia",
@@ -13148,15 +23908,15 @@
"marker": {
"color": "#4f5a90",
"size": [
- 2.1,
- 2.1,
- 7.4,
- 2.1,
- 5.5,
- 12.7
+ 1.55,
+ 0.46,
+ 1.22,
+ 0.33,
+ 0.65,
+ 1.5
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13192,7 +23952,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -13203,7 +23963,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13224,7 +23984,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -13235,7 +23995,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13256,7 +24016,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2006<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -13267,7 +24027,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13293,7 +24053,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Kenya",
"Lesotho",
@@ -13307,16 +24067,16 @@
"marker": {
"color": "#890000",
"size": [
- 58.4,
- 54.93400000000004,
- 54.8,
- 24,
- 29.4,
- 39.4,
- 25.8
+ 4,
+ 22.2,
+ 10.28,
+ 2.26,
+ 7.32,
+ 10.17,
+ 11.79
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13355,7 +24115,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Congo",
@@ -13368,15 +24128,15 @@
"marker": {
"color": "#2a6b28",
"size": [
- 17.7,
- 10.3,
- 9.9,
- 20.6,
- 4,
- 16.9
+ 0.87,
+ 2.79,
+ 0.66,
+ 1.46,
+ 1.1,
+ 2.53
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13412,7 +24172,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Ethiopia",
"Mali",
@@ -13424,14 +24184,14 @@
"marker": {
"color": "#4f5a90",
"size": [
- 2.1,
- 7.4,
- 2.1,
- 5.5,
- 12.7
+ 0.46,
+ 1.22,
+ 0.33,
+ 0.65,
+ 1.5
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13464,7 +24224,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -13475,7 +24235,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13496,7 +24256,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -13507,7 +24267,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13528,7 +24288,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2007<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -13539,7 +24299,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13565,7 +24325,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Kenya",
@@ -13581,18 +24341,18 @@
"marker": {
"color": "#890000",
"size": [
- 40.6,
- 58.4,
- 54.93400000000004,
- 73.1,
- 54.8,
- 77.2,
- 29.4,
- 39.4,
- 59.7
+ 0.46,
+ 4,
+ 22.2,
+ 8.7,
+ 10.28,
+ 1.47,
+ 7.32,
+ 10.17,
+ 11
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13637,7 +24397,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Congo Democratic Republic",
@@ -13649,14 +24409,14 @@
"marker": {
"color": "#2a6b28",
"size": [
- 17.7,
- 9.9,
- 20.6,
- 4,
- 16.9
+ 0.87,
+ 0.66,
+ 1.46,
+ 1.1,
+ 2.53
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13689,7 +24449,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Mali",
@@ -13701,14 +24461,14 @@
"marker": {
"color": "#4f5a90",
"size": [
- 30.4,
- 7.4,
- 2.1,
- 29.6,
- 12.7
+ 0.37,
+ 1.22,
+ 0.33,
+ 0.22,
+ 1.5
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13741,7 +24501,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -13752,7 +24512,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13773,7 +24533,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -13784,7 +24544,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13805,7 +24565,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2008<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -13816,7 +24576,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13842,7 +24602,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Kenya",
@@ -13857,17 +24617,17 @@
"marker": {
"color": "#890000",
"size": [
- 40.6,
- 58.4,
- 54.93400000000004,
- 73.1,
- 77.2,
- 75.3,
- 39.4,
- 59.7
+ 0.46,
+ 4,
+ 22.2,
+ 8.7,
+ 1.47,
+ 6.19,
+ 10.17,
+ 11
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13909,7 +24669,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -13926,19 +24686,19 @@
"marker": {
"color": "#2a6b28",
"size": [
- 36.7,
- 53.8,
- 38.1,
- 9.9,
- 37.8,
- 38.8,
- 20.6,
- 4,
- 49.2,
- 16.9
+ 0.68,
+ 2.78,
+ 2.7,
+ 0.66,
+ 2.09,
+ 0.19,
+ 1.46,
+ 1.1,
+ 13.9,
+ 2.53
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -13986,7 +24746,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Senegal",
@@ -13996,12 +24756,12 @@
"marker": {
"color": "#4f5a90",
"size": [
- 30.4,
- 29.6,
- 12.7
+ 0.37,
+ 0.22,
+ 1.5
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14028,7 +24788,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -14039,7 +24799,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14060,7 +24820,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -14071,7 +24831,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14092,7 +24852,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2009<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -14103,7 +24863,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14129,7 +24889,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Kenya",
@@ -14143,16 +24903,16 @@
"marker": {
"color": "#890000",
"size": [
- 40.6,
- 58.4,
- 54.93400000000004,
- 73.1,
- 77.2,
- 75.3,
- 59.7
+ 0.46,
+ 4,
+ 22.2,
+ 8.7,
+ 1.47,
+ 6.19,
+ 11
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14191,7 +24951,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -14207,18 +24967,18 @@
"marker": {
"color": "#2a6b28",
"size": [
- 36.7,
- 53.8,
- 38.1,
- 37.8,
- 38.8,
- 69.3,
- 20.6,
- 49.2,
- 16.9
+ 0.68,
+ 2.78,
+ 2.7,
+ 2.09,
+ 0.19,
+ 3.2,
+ 1.46,
+ 13.9,
+ 2.53
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14263,7 +25023,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Mali",
@@ -14275,14 +25035,14 @@
"marker": {
"color": "#4f5a90",
"size": [
- 30.4,
- 14.5,
- 24,
- 29.6,
- 12.7
+ 0.37,
+ 1.02,
+ 0.17,
+ 0.22,
+ 1.5
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14315,7 +25075,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -14326,7 +25086,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14347,7 +25107,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -14358,7 +25118,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14379,7 +25139,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2010<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -14390,7 +25150,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14416,7 +25176,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Lesotho",
@@ -14431,17 +25191,17 @@
"marker": {
"color": "#890000",
"size": [
- 40.6,
- 54.93400000000004,
- 73.1,
- 81.4,
- 77.2,
- 75.3,
- 80.2,
- 59.7
+ 0.46,
+ 22.2,
+ 8.7,
+ 7.83,
+ 1.47,
+ 6.19,
+ 8.56,
+ 11
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14483,7 +25243,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -14501,20 +25261,20 @@
"marker": {
"color": "#2a6b28",
"size": [
- 36.7,
- 53.8,
- 38.1,
- 22.1,
- 37.8,
- 38.8,
- 69.3,
- 50.8,
- 49.2,
- 30,
- 50.1
+ 0.68,
+ 2.78,
+ 2.7,
+ 0.31,
+ 2.09,
+ 0.19,
+ 3.2,
+ 0.96,
+ 13.9,
+ 2.11,
+ 1.16
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14565,7 +25325,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Gambia",
@@ -14578,15 +25338,15 @@
"marker": {
"color": "#4f5a90",
"size": [
- 30.4,
- 42.8,
- 14.5,
- 24,
- 29.6,
- 49.9
+ 0.37,
+ 1.38,
+ 1.02,
+ 0.17,
+ 0.22,
+ 0.92
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14622,7 +25382,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -14633,7 +25393,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14654,7 +25414,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -14665,7 +25425,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14686,7 +25446,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2011<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -14697,7 +25457,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14723,7 +25483,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Kenya",
@@ -14739,18 +25499,18 @@
"marker": {
"color": "#890000",
"size": [
- 40.6,
- 84.9,
- 85.5,
- 73.1,
- 81.4,
- 85.5,
- 75.3,
- 80.2,
- 59.7
+ 0.46,
+ 2.69,
+ 21.9,
+ 8.7,
+ 7.83,
+ 1.26,
+ 6.19,
+ 8.56,
+ 11
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14795,7 +25555,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Benin",
"Cameroon",
@@ -14814,21 +25574,21 @@
"marker": {
"color": "#2a6b28",
"size": [
- 36.7,
- 53.8,
- 38.1,
- 22.1,
- 37.8,
- 38.8,
- 69.3,
- 48.5,
- 50.8,
- 49.2,
- 30,
- 50.1
+ 0.68,
+ 2.78,
+ 2.7,
+ 0.31,
+ 2.09,
+ 0.19,
+ 3.2,
+ 1.08,
+ 0.96,
+ 13.9,
+ 2.11,
+ 1.16
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14882,7 +25642,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burkina Faso",
"Chad",
@@ -14896,16 +25656,16 @@
"marker": {
"color": "#4f5a90",
"size": [
- 30.4,
- 17.3,
- 42.8,
- 14.5,
- 24,
- 45,
- 49.9
+ 0.37,
+ 0.74,
+ 1.38,
+ 1.02,
+ 0.17,
+ 0.14,
+ 0.92
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14944,7 +25704,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -14955,7 +25715,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -14976,7 +25736,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -14987,7 +25747,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15008,7 +25768,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2012<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -15019,7 +25779,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15045,7 +25805,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Kenya",
"Lesotho",
@@ -15060,17 +25820,17 @@
"marker": {
"color": "#890000",
"size": [
- 84.9,
- 85.5,
- 83.3,
- 81.4,
- 85.5,
- 75.3,
- 80.2,
- 80.6
+ 2.69,
+ 21.9,
+ 5.6,
+ 7.83,
+ 1.26,
+ 6.19,
+ 8.56,
+ 7.17
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15112,7 +25872,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Angola",
"Benin",
@@ -15132,22 +25892,22 @@
"marker": {
"color": "#2a6b28",
"size": [
- 48.7,
- 36.7,
- 53.8,
- 38.1,
- 22.1,
- 37.8,
- 38.8,
- 69.3,
- 48.5,
- 50.8,
- 49.2,
- 30,
- 50.1
+ 1.77,
+ 0.68,
+ 2.78,
+ 2.7,
+ 0.31,
+ 2.09,
+ 0.19,
+ 3.2,
+ 1.08,
+ 0.96,
+ 13.9,
+ 2.11,
+ 1.16
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15204,7 +25964,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Chad",
"Gambia",
@@ -15217,15 +25977,15 @@
"marker": {
"color": "#4f5a90",
"size": [
- 17.3,
- 42.8,
- 14.5,
- 24,
- 45.3,
- 49.9
+ 0.74,
+ 1.38,
+ 1.02,
+ 0.17,
+ 0.14,
+ 0.92
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15261,7 +26021,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -15272,7 +26032,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15293,7 +26053,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -15304,7 +26064,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15325,7 +26085,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2013<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -15336,7 +26096,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15362,7 +26122,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Kenya",
@@ -15378,18 +26138,18 @@
"marker": {
"color": "#890000",
"size": [
- 67.8,
- 84.9,
- 85.5,
- 83.3,
- 81.4,
- 85.5,
- 85.2,
- 80.2,
- 80.6
+ 0.51,
+ 2.69,
+ 21.9,
+ 5.6,
+ 7.83,
+ 1.26,
+ 2.97,
+ 8.56,
+ 7.17
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15434,7 +26194,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Angola",
"Congo Democratic Republic",
@@ -15449,17 +26209,17 @@
"marker": {
"color": "#2a6b28",
"size": [
- 48.7,
- 22.1,
- 44.2,
- 69.3,
- 48.5,
- 50.8,
- 30,
- 50.1
+ 1.77,
+ 0.31,
+ 0.21,
+ 3.2,
+ 1.08,
+ 0.96,
+ 2.11,
+ 1.16
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15501,7 +26261,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Chad",
"Gambia",
@@ -15514,15 +26274,15 @@
"marker": {
"color": "#4f5a90",
"size": [
- 17.3,
- 42.8,
- 14.5,
- 24,
- 42,
- 49.9
+ 0.74,
+ 1.38,
+ 1.02,
+ 0.17,
+ 0.14,
+ 0.92
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15558,7 +26318,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -15569,7 +26329,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15590,7 +26350,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -15601,7 +26361,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15622,7 +26382,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2014<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -15633,7 +26393,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15659,7 +26419,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Kenya",
@@ -15675,18 +26435,18 @@
"marker": {
"color": "#890000",
"size": [
- 67.8,
- 84.9,
- 85.5,
- 83.3,
- 81.4,
- 85.5,
- 85.2,
- 80.2,
- 80.6
+ 0.51,
+ 2.69,
+ 21.9,
+ 5.6,
+ 7.83,
+ 1.26,
+ 2.97,
+ 8.56,
+ 7.17
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15731,7 +26491,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Angola",
"Benin",
@@ -15746,17 +26506,17 @@
"marker": {
"color": "#2a6b28",
"size": [
- 48.7,
- 38.2,
- 22.1,
- 44.2,
- 48.5,
- 50.8,
- 30,
- 50.1
+ 1.77,
+ 0.6,
+ 0.31,
+ 0.21,
+ 1.08,
+ 0.96,
+ 2.11,
+ 1.16
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15798,7 +26558,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Chad",
"Gambia",
@@ -15809,13 +26569,13 @@
"marker": {
"color": "#4f5a90",
"size": [
- 17.3,
- 42.8,
- 49.6,
- 49.9
+ 0.74,
+ 1.38,
+ 0.14,
+ 0.92
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15845,7 +26605,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -15856,7 +26616,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15877,7 +26637,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -15888,7 +26648,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15909,7 +26669,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2015<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -15920,7 +26680,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -15946,7 +26706,7 @@
{
"data": [
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=0<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Burundi",
"Kenya",
@@ -15961,17 +26721,17 @@
"marker": {
"color": "#890000",
"size": [
- 67.8,
- 84.9,
- 85.5,
- 83.3,
- 85.5,
- 85.2,
- 86.9,
- 80.6
+ 0.51,
+ 2.69,
+ 21.9,
+ 5.6,
+ 1.26,
+ 2.97,
+ 6.26,
+ 7.17
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -16013,7 +26773,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=1<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Angola",
"Benin",
@@ -16026,15 +26786,15 @@
"marker": {
"color": "#2a6b28",
"size": [
- 48.7,
- 38.2,
- 71.2,
- 44.2,
- 48.5,
- 40.71500000000001
+ 1.77,
+ 0.6,
+ 2.07,
+ 0.21,
+ 1.08,
+ 1.83
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -16070,7 +26830,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=2<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Chad",
"Mali",
@@ -16080,12 +26840,12 @@
"marker": {
"color": "#4f5a90",
"size": [
- 17.3,
- 18.9,
- 49.6
+ 0.74,
+ 0.92,
+ 0.14
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -16112,7 +26872,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=3<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_0"
],
@@ -16123,7 +26883,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -16144,7 +26904,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=4<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_1"
],
@@ -16155,7 +26915,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -16176,7 +26936,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>Ever.receiving.HIV.test.W=%{marker.size}<br>Country=%{text}<extra></extra>",
+ "hovertemplate": "<b>%{hovertext}</b><br><br>Cluster=5<br>gy=2016<br>PC-1=%{x}<br>PC-2=%{y}<br>HIV.incidence=%{marker.size}<br>Country=%{text}<extra></extra>",
"hovertext": [
"Centroid_2"
],
@@ -16187,7 +26947,7 @@
10
],
"sizemode": "area",
- "sizeref": 0.01773469387755102,
+ "sizeref": 0.004959183673469388,
"symbol": "circle"
},
"mode": "markers+text",
@@ -16225,7 +26985,7 @@
},
"sliders": [
{
- "active": 11,
+ "active": 14,
"currentvalue": {
"prefix": "gy="
},
@@ -17114,7 +27874,7 @@
}
},
"title": {
- "text": "Evolution of countries on 2D PCA Space<br>Size represents Ever.receiving.HIV.test.W"
+ "text": "Evolution of countries on 2D PCA Space<br>Size represents HIV.incidence"
},
"updatemenus": [
{
@@ -17205,13 +27965,13 @@
}
}
},
- "image/png": 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" }).then(function(){\n",
" \n",
- "var gd = document.getElementById('e34251c5-07dc-43ff-b664-08b3c08cb264');\n",
+ "var gd = document.getElementById('3c166a02-82e3-445a-b5f0-54f290e8cbb0');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
@@ -17241,7 +28001,7 @@
}
],
"source": [
- "size = outputs[3]\n",
+ "size = outputs[0]\n",
"\n",
"# diff = 10%\n",
"diff = 1.1\n",
@@ -17277,7 +28037,7 @@
},
{
"cell_type": "code",
- "execution_count": 125,
+ "execution_count": 253,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -21651,7 +32411,7 @@
1
],
"range": [
- -0.5079505300353357,
+ -0.5074380165289256,
2.5
],
"title": {
@@ -21676,13 +32436,13 @@
}
}
},
- "image/png": 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@@ -22003,10 +32763,10 @@
" <th>PC-2</th>\n",
" <th>HIV.incidence</th>\n",
" <th>HIV.prevalence</th>\n",
- " <th>Cluster</th>\n",
" <th>Ever.receiving.HIV.test.W</th>\n",
" <th>Ever.receiving.HIV.test.M</th>\n",
" <th>ART</th>\n",
+ " <th>Cluster</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Country</th>\n",
@@ -22029,10 +32789,10 @@
" <td>-45.697377</td>\n",
" <td>5.78</td>\n",
" <td>7.0</td>\n",
- " <td>0</td>\n",
" <td>8.4</td>\n",
" <td>12.1</td>\n",
" <td>0</td>\n",
+ " <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2006</th>\n",
@@ -22040,10 +32800,10 @@
" <td>-46.132418</td>\n",
" <td>7.32</td>\n",
" <td>6.5</td>\n",
- " <td>0</td>\n",
" <td>29.4</td>\n",
" <td>23.2</td>\n",
" <td>8</td>\n",
+ " <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011</th>\n",
@@ -22051,10 +32811,10 @@
" <td>-37.509424</td>\n",
" <td>6.19</td>\n",
" <td>6.7</td>\n",
- " <td>0</td>\n",
" <td>75.3</td>\n",
" <td>55.7</td>\n",
" <td>23</td>\n",
+ " <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016</th>\n",
@@ -22062,32 +32822,39 @@
" <td>-19.658928</td>\n",
" <td>2.97</td>\n",
" <td>6.1</td>\n",
- " <td>0</td>\n",
" <td>85.2</td>\n",
" <td>72.9</td>\n",
" <td>60</td>\n",
+ " <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
- " PC-1 PC-2 HIV.incidence HIV.prevalence Cluster \\\n",
- "Country Survey \n",
- "Uganda 2000 1.229915 -45.697377 5.78 7.0 0 \n",
- " 2006 -17.100374 -46.132418 7.32 6.5 0 \n",
- " 2011 -31.351547 -37.509424 6.19 6.7 0 \n",
- " 2016 -37.786357 -19.658928 2.97 6.1 0 \n",
+ " PC-1 PC-2 HIV.incidence HIV.prevalence \\\n",
+ "Country Survey \n",
+ "Uganda 2000 1.229915 -45.697377 5.78 7.0 \n",
+ " 2006 -17.100374 -46.132418 7.32 6.5 \n",
+ " 2011 -31.351547 -37.509424 6.19 6.7 \n",
+ " 2016 -37.786357 -19.658928 2.97 6.1 \n",
+ "\n",
+ " Ever.receiving.HIV.test.W Ever.receiving.HIV.test.M ART \\\n",
+ "Country Survey \n",
+ "Uganda 2000 8.4 12.1 0 \n",
+ " 2006 29.4 23.2 8 \n",
+ " 2011 75.3 55.7 23 \n",
+ " 2016 85.2 72.9 60 \n",
"\n",
- " Ever.receiving.HIV.test.W Ever.receiving.HIV.test.M ART \n",
- "Country Survey \n",
- "Uganda 2000 8.4 12.1 0 \n",
- " 2006 29.4 23.2 8 \n",
- " 2011 75.3 55.7 23 \n",
- " 2016 85.2 72.9 60 "
+ " Cluster \n",
+ "Country Survey \n",
+ "Uganda 2000 0 \n",
+ " 2006 0 \n",
+ " 2011 0 \n",
+ " 2016 0 "
]
},
- "execution_count": 75,
+ "execution_count": 258,
"metadata": {},
"output_type": "execute_result"
}
@@ -22098,7 +32865,7 @@
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{
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+ "execution_count": 259,
"metadata": {
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@@ -22193,7 +32960,7 @@
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]
},
- "execution_count": 76,
+ "execution_count": 259,
"metadata": {},
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}
@@ -22204,7 +32971,7 @@
},
{
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+ "execution_count": 260,
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@@ -23187,7 +33954,6 @@
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",
+ "image/png": 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{
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],
"title": {
"text": "PC2.diff"
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}
},
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" <th>PC-2</th>\n",
" <th>HIV.incidence</th>\n",
" <th>HIV.prevalence</th>\n",
- " <th>Cluster</th>\n",
- " <th>gy</th>\n",
" <th>Ever.receiving.HIV.test.W</th>\n",
" <th>Ever.receiving.HIV.test.M</th>\n",
" <th>ART</th>\n",
+ " <th>Cluster</th>\n",
+ " <th>gy</th>\n",
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" <tr>\n",
" <th>Country</th>\n",
@@ -25646,11 +36399,11 @@
" <td>0.000000</td>\n",
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- " <td>2002</td>\n",
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" <td>7.2</td>\n",
" <td>0</td>\n",
+ " <td>1</td>\n",
+ " <td>2002</td>\n",
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" <th>Burkina Faso</th>\n",
@@ -25659,11 +36412,11 @@
" <td>0.000000</td>\n",
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" <td>1.8</td>\n",
- " <td>2</td>\n",
- " <td>2002</td>\n",
" <td>7.409</td>\n",
" <td>7.4</td>\n",
" <td>1</td>\n",
+ " <td>2</td>\n",
+ " <td>2002</td>\n",
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" <th>Cameroon</th>\n",
@@ -25672,11 +36425,11 @@
" <td>0.000000</td>\n",
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- " <td>1</td>\n",
- " <td>2002</td>\n",
" <td>21.100</td>\n",
" <td>16.0</td>\n",
" <td>3</td>\n",
+ " <td>1</td>\n",
+ " <td>2002</td>\n",
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" <th>Chad</th>\n",
@@ -25685,11 +36438,11 @@
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- " <td>2</td>\n",
- " <td>2002</td>\n",
" <td>2.100</td>\n",
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" <td>0</td>\n",
+ " <td>2</td>\n",
+ " <td>2002</td>\n",
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" <tr>\n",
" <th>Ethiopia</th>\n",
@@ -25698,11 +36451,11 @@
" <td>0.000000</td>\n",
" <td>2.09</td>\n",
" <td>3.4</td>\n",
- " <td>2</td>\n",
- " <td>2002</td>\n",
" <td>5.858</td>\n",
" <td>2.1</td>\n",
" <td>0</td>\n",
+ " <td>2</td>\n",
+ " <td>2002</td>\n",
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" <th>...</th>\n",
@@ -25724,11 +36477,11 @@
" <td>9.047650</td>\n",
" <td>1.26</td>\n",
" <td>2.9</td>\n",
- " <td>0</td>\n",
- " <td>2016</td>\n",
" <td>85.500</td>\n",
" <td>80.8</td>\n",
" <td>65</td>\n",
+ " <td>0</td>\n",
+ " <td>2016</td>\n",
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" <th>Senegal</th>\n",
@@ -25737,11 +36490,11 @@
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- " <td>2016</td>\n",
" <td>49.600</td>\n",
" <td>20.5</td>\n",
" <td>56</td>\n",
+ " <td>2</td>\n",
+ " <td>2016</td>\n",
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" <tr>\n",
" <th>Uganda</th>\n",
@@ -25750,11 +36503,11 @@
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- " <td>0</td>\n",
- " <td>2016</td>\n",
" <td>85.200</td>\n",
" <td>72.9</td>\n",
" <td>60</td>\n",
+ " <td>0</td>\n",
+ " <td>2016</td>\n",
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" <th>Zambia</th>\n",
@@ -25763,11 +36516,11 @@
" <td>39.834315</td>\n",
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- " <td>0</td>\n",
- " <td>2016</td>\n",
" <td>86.900</td>\n",
" <td>77.6</td>\n",
" <td>79</td>\n",
+ " <td>0</td>\n",
+ " <td>2016</td>\n",
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" <tr>\n",
" <th>Zimbabwe</th>\n",
@@ -25776,11 +36529,11 @@
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- " <td>2016</td>\n",
" <td>80.600</td>\n",
" <td>64.1</td>\n",
" <td>64</td>\n",
+ " <td>0</td>\n",
+ " <td>2016</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
@@ -25802,38 +36555,38 @@
"Zambia 2018 -42.244600 39.834315 6.26 11.5 \n",
"Zimbabwe 2015 -20.147756 -7.682860 7.17 14.0 \n",
"\n",
- " Cluster gy Ever.receiving.HIV.test.W \\\n",
- "Country Survey \n",
- "Benin 2001 1 2002 5.100 \n",
- "Burkina Faso 2003 2 2002 7.409 \n",
- "Cameroon 2004 1 2002 21.100 \n",
- "Chad 2004 2 2002 2.100 \n",
- "Ethiopia 2000 2 2002 5.858 \n",
- "... ... ... ... \n",
- "Rwanda 2014 0 2016 85.500 \n",
- "Senegal 2017 2 2016 49.600 \n",
- "Uganda 2016 0 2016 85.200 \n",
- "Zambia 2018 0 2016 86.900 \n",
- "Zimbabwe 2015 0 2016 80.600 \n",
+ " Ever.receiving.HIV.test.W Ever.receiving.HIV.test.M \\\n",
+ "Country Survey \n",
+ "Benin 2001 5.100 7.2 \n",
+ "Burkina Faso 2003 7.409 7.4 \n",
+ "Cameroon 2004 21.100 16.0 \n",
+ "Chad 2004 2.100 4.1 \n",
+ "Ethiopia 2000 5.858 2.1 \n",
+ "... ... ... \n",
+ "Rwanda 2014 85.500 80.8 \n",
+ "Senegal 2017 49.600 20.5 \n",
+ "Uganda 2016 85.200 72.9 \n",
+ "Zambia 2018 86.900 77.6 \n",
+ "Zimbabwe 2015 80.600 64.1 \n",
"\n",
- " Ever.receiving.HIV.test.M ART \n",
- "Country Survey \n",
- "Benin 2001 7.2 0 \n",
- "Burkina Faso 2003 7.4 1 \n",
- "Cameroon 2004 16.0 3 \n",
- "Chad 2004 4.1 0 \n",
- "Ethiopia 2000 2.1 0 \n",
- "... ... ... \n",
- "Rwanda 2014 80.8 65 \n",
- "Senegal 2017 20.5 56 \n",
- "Uganda 2016 72.9 60 \n",
- "Zambia 2018 77.6 79 \n",
- "Zimbabwe 2015 64.1 64 \n",
+ " ART Cluster gy \n",
+ "Country Survey \n",
+ "Benin 2001 0 1 2002 \n",
+ "Burkina Faso 2003 1 2 2002 \n",
+ "Cameroon 2004 3 1 2002 \n",
+ "Chad 2004 0 2 2002 \n",
+ "Ethiopia 2000 0 2 2002 \n",
+ "... ... ... ... \n",
+ "Rwanda 2014 65 0 2016 \n",
+ "Senegal 2017 56 2 2016 \n",
+ "Uganda 2016 60 0 2016 \n",
+ "Zambia 2018 79 0 2016 \n",
+ "Zimbabwe 2015 64 0 2016 \n",
"\n",
"[316 rows x 9 columns]"
]
},
- "execution_count": 96,
+ "execution_count": 269,
"metadata": {},
"output_type": "execute_result"
}
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\"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"PC-1 movement vs. HIV incidence\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"PC-1\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"ART\"}}}, {\"responsive\": true} ).then(function(){\n",
" \n",
- "var gd = document.getElementById('db44c0f4-8107-4485-a4e7-dbe0b0427bcc');\n",
+ "var gd = document.getElementById('5531a851-003c-44d3-885f-90b64594072d');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
" if (!display || display === 'none') {{\n",
@@ -30604,7 +41313,7 @@
},
{
"cell_type": "code",
- "execution_count": 104,
+ "execution_count": 271,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -30628,7 +41337,7 @@
},
{
"cell_type": "code",
- "execution_count": 107,
+ "execution_count": 274,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -30647,13 +41356,13 @@
},
"outputs": [],
"source": [
- "indicators = df.columns.drop(['ART', 'Ever.receiving.HIV.test.W', 'Ever.receiving.HIV.test.M', 'iso','cow','GY'])\n",
+ "indicators = df.columns.drop(removed)\n",
"clusters = ['0','1','2']"
]
},
{
"cell_type": "code",
- "execution_count": 110,
+ "execution_count": 277,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -30720,7 +41429,7 @@
},
{
"cell_type": "code",
- "execution_count": 111,
+ "execution_count": 278,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -30827,7 +41536,7 @@
},
{
"cell_type": "code",
- "execution_count": 112,
+ "execution_count": 279,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -30850,12 +41559,12 @@
"#indicator = 'Justified.condom.if.husband.has.STI.M'\n",
"#indicator = 'General.fertility.rate'\n",
"#indicator = 'rural'\n",
- "indicator = 'Men.circumcised'\n",
+ "#indicator = 'Men.circumcised'\n",
"#indicator = 'ART'\n",
"#indicator='Men.who.work'\n",
"#indicator = 'Use.of.contraception'\n",
"#indicator = 'Knowledge.about.AIDS.M'\n",
- "#indicator='Buy.from.shopkeeper.with.AIDS.M'"
+ "indicator='Buy.from.shopkeeper.with.AIDS.M'"
]
},
{
@@ -30882,7 +41591,7 @@
},
{
"cell_type": "code",
- "execution_count": 113,
+ "execution_count": 280,
"metadata": {
"extensions": {
"jupyter_dashboards": {
@@ -30909,7 +41618,7 @@
"data": [
{
"alignmentgroup": "True",
- "hovertemplate": "Cluster=%{x}<br>gy=2002<br>Men.circumcised=%{y}<extra></extra>",
+ "hovertemplate": "Cluster=%{x}<br>gy=2002<br>Buy.from.shopkeeper.with.AIDS.M=%{y}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000"
@@ -30932,20 +41641,20 @@
"x0": " ",
"xaxis": "x",
"y": [
- 84.277113877794,
- 49.5747521546131,
- 21.7278365422234,
- 16.845245603113,
- 10.4503592942751,
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+ 73.5,
+ 46.9,
+ 83.9,
+ 66.51799999999999,
+ 63.64900000000001,
+ 53.86499999999999,
+ 63.65699999999998
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
- "hovertemplate": "Cluster=%{x}<br>gy=2016<br>Men.circumcised=%{y}<extra></extra>",
+ "hovertemplate": "Cluster=%{x}<br>gy=2016<br>Buy.from.shopkeeper.with.AIDS.M=%{y}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000"
@@ -30969,21 +41678,21 @@
"x0": " ",
"xaxis": "x2",
"y": [
- 42.3169065562852,
- 91.8965260932654,
- 74.2701004856573,
- 28.5148595443723,
- 30.0307558946009,
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- 30.6481351725594,
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+ 84.3,
+ 83.9,
+ 79.7,
+ 87.5,
+ 92.1,
+ 80.3,
+ 80.4,
+ 83.1
],
"y0": " ",
"yaxis": "y2"
},
{
"alignmentgroup": "True",
- "hovertemplate": "Cluster=%{x}<br>gy=2002<br>Men.circumcised=%{y}<extra></extra>",
+ "hovertemplate": "Cluster=%{x}<br>gy=2002<br>Buy.from.shopkeeper.with.AIDS.M=%{y}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28"
@@ -31005,19 +41714,19 @@
"x0": " ",
"xaxis": "x",
"y": [
- 94.11867213761559,
- 93.8867371031423,
- 91.956463321059,
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+ 40.326,
+ 50,
+ 57.54299999999999,
+ 35.9,
+ 41.8,
+ 68.9
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
- "hovertemplate": "Cluster=%{x}<br>gy=2016<br>Men.circumcised=%{y}<extra></extra>",
+ "hovertemplate": "Cluster=%{x}<br>gy=2016<br>Buy.from.shopkeeper.with.AIDS.M=%{y}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28"
@@ -31039,19 +41748,19 @@
"x0": " ",
"xaxis": "x2",
"y": [
- 97.0446734491313,
- 95.43327661857029,
- 96.19154061600531,
- 93.0320514903748,
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+ 65.4,
+ 31.6,
+ 57.9,
+ 51.6,
+ 35.9,
+ 48.8
],
"y0": " ",
"yaxis": "y2"
},
{
"alignmentgroup": "True",
- "hovertemplate": "Cluster=%{x}<br>gy=2002<br>Men.circumcised=%{y}<extra></extra>",
+ "hovertemplate": "Cluster=%{x}<br>gy=2002<br>Buy.from.shopkeeper.with.AIDS.M=%{y}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90"
@@ -31071,17 +41780,17 @@
"x0": " ",
"xaxis": "x",
"y": [
- 90.37084524907301,
- 95.35944040196979,
- 90.872534890205,
- 97.51059017585449
+ 36.90499999999998,
+ 18.3,
+ 35.93999999999999,
+ 33.33599999999998
],
"y0": " ",
"yaxis": "y"
},
{
"alignmentgroup": "True",
- "hovertemplate": "Cluster=%{x}<br>gy=2016<br>Men.circumcised=%{y}<extra></extra>",
+ "hovertemplate": "Cluster=%{x}<br>gy=2016<br>Buy.from.shopkeeper.with.AIDS.M=%{y}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90"
@@ -31100,9 +41809,9 @@
"x0": " ",
"xaxis": "x2",
"y": [
- 96.65600940665442,
- 98.9021108921111,
- 98.1875480781308
+ 52.5,
+ 42.2,
+ 37.6
],
"y0": " ",
"yaxis": "y2"
@@ -31701,7 +42410,7 @@
}
},
"title": {
- "text": "Distribution of Men.circumcised for [2000-2004] & [2014-2018]"
+ "text": "Distribution of Buy.from.shopkeeper.with.AIDS.M for [2000-2004] & [2014-2018]"
},
"xaxis": {
"anchor": "y",
@@ -31759,7 +42468,7 @@
100
],
"title": {
- "text": "Men.circumcised"
+ "text": "Buy.from.shopkeeper.with.AIDS.M"
},
"type": "linear"
},
@@ -31775,11 +42484,11 @@
}
}
},
- "image/png": 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",
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@@ -31832,7 +42541,7 @@
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@@ -31878,7 +42587,7 @@
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@@ -31902,7 +42611,7 @@
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"\n",
- "divide by zero encountered in double_scalars\n",
+ "invalid value encountered in double_scalars\n",
"\n",
"/home/jeffrey/anaconda3/envs/thesis/lib/python3.7/site-packages/statsmodels/regression/linear_model.py:1715: RuntimeWarning:\n",
"\n",
@@ -31910,11 +42619,11 @@
"\n",
"/home/jeffrey/anaconda3/envs/thesis/lib/python3.7/site-packages/statsmodels/regression/linear_model.py:1715: RuntimeWarning:\n",
"\n",
- "divide by zero encountered in double_scalars\n",
+ "invalid value encountered in double_scalars\n",
"\n",
"/home/jeffrey/anaconda3/envs/thesis/lib/python3.7/site-packages/statsmodels/regression/linear_model.py:1715: RuntimeWarning:\n",
"\n",
- "invalid value encountered in double_scalars\n",
+ "divide by zero encountered in double_scalars\n",
"\n"
]
},
@@ -31984,7 +42693,7 @@
2014
]
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"legendgroup": "0",
"marker": {
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@@ -32012,21 +42721,22 @@
],
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- 91.8965260932654,
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@@ -32048,7 +42758,7 @@
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{
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+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 6.76087 * Buy.from.shopkeeper.with.AIDS.M + -481.386<br>R<sup>2</sup>=0.998143<br><br>Cluster=0<br>Country=Kenya<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
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"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
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+ 73.5,
+ 73.5,
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+ 79.6,
+ 79.6,
+ 79.6,
+ 79.6,
+ 83.9,
+ 83.9,
+ 83.9,
+ 83.9,
+ 83.9
+ ],
+ "xaxis": "x",
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},
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2014
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000",
@@ -32186,22 +42897,23 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 79.7
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"xaxis": "x",
"y": [
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"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.56587 * Men.circumcised + -101.66<br>R<sup>2</sup>=0.865048<br><br>Cluster=0<br>Country=Lesotho<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.11661 * Buy.from.shopkeeper.with.AIDS.M + -86.288<br>R<sup>2</sup>=0.986930<br><br>Cluster=0<br>Country=Lesotho<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#890000",
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"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
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+ 68.9,
+ 68.9,
+ 79.7,
+ 79.7,
+ 79.7,
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+ 79.7
+ ],
+ "xaxis": "x",
+ "y": [
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},
@@ -32331,7 +43044,7 @@
2015
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000",
@@ -32359,21 +43072,22 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 87.5
],
"xaxis": "x",
"y": [
@@ -32395,7 +43109,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 6.42702 * Men.circumcised + -97.721<br>R<sup>2</sup>=0.402300<br><br>Cluster=0<br>Country=Malawi<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 9.62512 * Buy.from.shopkeeper.with.AIDS.M + -783.733<br>R<sup>2</sup>=0.726887<br><br>Cluster=0<br>Country=Malawi<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#890000",
@@ -32406,38 +43120,39 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
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+ 90.2,
+ 90.2,
+ 90.2,
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+ 90.2
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+ "xaxis": "x",
+ "y": [
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@@ -32488,7 +43203,7 @@
2013
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000",
@@ -32513,18 +43228,19 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 84.9
],
"xaxis": "x",
"y": [
@@ -32543,7 +43259,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 5.37562 * Men.circumcised + -59.0998<br>R<sup>2</sup>=0.971948<br><br>Cluster=0<br>Country=Namibia<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.50295 * Buy.from.shopkeeper.with.AIDS.M + -129.919<br>R<sup>2</sup>=0.931705<br><br>Cluster=0<br>Country=Namibia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
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@@ -32554,32 +43270,33 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
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},
@@ -32646,7 +43363,7 @@
2014
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000",
@@ -32675,22 +43392,23 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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],
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@@ -32713,7 +43431,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.5333 * Men.circumcised + 12.6641<br>R<sup>2</sup>=0.538203<br><br>Cluster=0<br>Country=Rwanda<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.61122 * Buy.from.shopkeeper.with.AIDS.M + -251.413<br>R<sup>2</sup>=0.879839<br><br>Cluster=0<br>Country=Rwanda<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#890000",
@@ -32724,40 +43442,41 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
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+ "xaxis": "x",
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@@ -32820,7 +43539,7 @@
2016
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
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@@ -32848,21 +43567,22 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
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@@ -32884,7 +43604,7 @@
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},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.10744 * Men.circumcised + -5.54796<br>R<sup>2</sup>=0.459865<br><br>Cluster=0<br>Country=Uganda<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.09458 * Buy.from.shopkeeper.with.AIDS.M + -179.77<br>R<sup>2</sup>=0.571150<br><br>Cluster=0<br>Country=Uganda<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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@@ -32895,38 +43615,39 @@
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"textposition": "top center",
"type": "scatter",
+ "visible": true,
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+ 75.1,
+ 79.5,
+ 79.5,
+ 79.5,
+ 79.5,
+ 79.5,
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+ 80.3,
+ 80.3
+ ],
+ "xaxis": "x",
+ "y": [
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},
@@ -32985,7 +43706,7 @@
2018
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000",
@@ -33012,20 +43733,21 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 15.6735661339682,
- 15.6735661339682,
- 12.7821010016215,
- 12.7821010016215,
- 12.7821010016215,
- 12.7821010016215,
- 12.7821010016215,
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+ 63.65699999999998,
+ 63.65699999999998,
+ 72.5,
+ 72.5,
+ 72.5,
+ 72.5,
+ 72.5,
+ 83.5,
+ 83.5,
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+ 83.5,
+ 83.5,
+ 80.4
],
"xaxis": "x",
"y": [
@@ -33046,7 +43768,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.87733 * Men.circumcised + -17.6549<br>R<sup>2</sup>=0.670478<br><br>Cluster=0<br>Country=Zambia<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.72632 * Buy.from.shopkeeper.with.AIDS.M + -228.988<br>R<sup>2</sup>=0.968291<br><br>Cluster=0<br>Country=Zambia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#890000",
@@ -33057,36 +43779,37 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 72.5,
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+ 83.5,
+ 83.5,
+ 83.5
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"y": [
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"yaxis": "y"
},
@@ -33149,7 +43872,7 @@
2015
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000",
@@ -33177,21 +43900,22 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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- 14.6156221095203,
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+ 67.3,
+ 67.3,
+ 67.3,
+ 67.3,
+ 67.3,
+ 80.3,
+ 80.3,
+ 80.3,
+ 80.3,
+ 80.3,
+ 83.1,
+ 83.1,
+ 83.1,
+ 83.1
],
"xaxis": "x",
"y": [
@@ -33213,7 +43937,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 7.21918 * Men.circumcised + -25.089<br>R<sup>2</sup>=0.579983<br><br>Cluster=0<br>Country=Zimbabwe<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.1473 * Buy.from.shopkeeper.with.AIDS.M + -187.069<br>R<sup>2</sup>=0.952146<br><br>Cluster=0<br>Country=Zimbabwe<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#890000",
@@ -33224,38 +43948,39 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 67.3,
+ 67.3,
+ 67.3,
+ 80.3,
+ 80.3,
+ 80.3,
+ 80.3,
+ 80.3,
+ 83.1,
+ 83.1,
+ 83.1,
+ 83.1
+ ],
+ "xaxis": "x",
+ "y": [
+ 24.743989076867308,
+ 24.743989076867308,
+ 24.743989076867308,
+ 24.743989076867308,
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"yaxis": "y"
},
@@ -33294,7 +44019,7 @@
2016
]
],
- "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=0<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "0",
"marker": {
"color": "#890000",
@@ -33316,15 +44041,16 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 30.7613696555178,
- 30.7613696555178,
- 30.7613696555178,
- 30.7613696555178,
- 30.7613696555178,
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- 42.3169065562852
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+ 84.8,
+ 84.8,
+ 84.8,
+ 84.8,
+ 84.3,
+ 84.3,
+ 84.3
],
"xaxis": "x",
"y": [
@@ -33340,7 +44066,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.35385 * Men.circumcised + -31.8076<br>R<sup>2</sup>=1.000000<br><br>Cluster=0<br>Country=Burundi<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -54.4 * Buy.from.shopkeeper.with.AIDS.M + 4653.72<br>R<sup>2</sup>=1.000000<br><br>Cluster=0<br>Country=Burundi<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#890000",
@@ -33351,26 +44077,27 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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- 30.7613696555178,
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+ 84.3,
+ 84.3,
+ 84.8,
+ 84.8,
+ 84.8,
+ 84.8,
+ 84.8
],
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"y": [
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+ 40.599999999999454,
+ 40.599999999999454
],
"yaxis": "y"
},
@@ -33433,7 +44160,7 @@
2017
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -33461,21 +44188,22 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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],
"xaxis": "x",
"y": [
@@ -33497,7 +44225,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 1.30998 * Men.circumcised + -98.9918<br>R<sup>2</sup>=0.003822<br><br>Cluster=1<br>Country=Benin<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.535766 * Buy.from.shopkeeper.with.AIDS.M + 4.57199<br>R<sup>2</sup>=0.039859<br><br>Cluster=1<br>Country=Benin<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#2a6b28",
@@ -33508,38 +44236,39 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 28.413587313737285
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"yaxis": "y"
},
@@ -33590,7 +44319,7 @@
2018
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -33615,18 +44344,19 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 50,
+ 50,
+ 50,
+ 58.4,
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+ 58.4,
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+ 57.9
],
"xaxis": "x",
"y": [
@@ -33645,7 +44375,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 22.8925 * Men.circumcised + -2127.78<br>R<sup>2</sup>=0.995715<br><br>Cluster=1<br>Country=Cameroon<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 4.23745 * Buy.from.shopkeeper.with.AIDS.M + -190.577<br>R<sup>2</sup>=0.914301<br><br>Cluster=1<br>Country=Cameroon<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#2a6b28",
@@ -33656,32 +44386,33 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 50,
+ 50,
+ 50,
+ 57.9,
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],
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"y": [
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"yaxis": "y"
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@@ -33720,7 +44451,7 @@
2016
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -33742,15 +44473,16 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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],
"xaxis": "x",
"y": [
@@ -33766,7 +44498,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 16.4627 * Men.circumcised + -1487.36<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Ethiopia<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 1.2 * Buy.from.shopkeeper.with.AIDS.M + -17.72<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Ethiopia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
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"marker": {
"color": "#2a6b28",
@@ -33777,26 +44509,27 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
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+ 38.800000000000026,
+ 38.800000000000026,
+ 38.800000000000026,
+ 44.20000000000003,
+ 44.20000000000003,
+ 44.20000000000003
],
"yaxis": "y"
},
@@ -33827,7 +44560,7 @@
2012
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -33847,13 +44580,14 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 91.956463321059,
- 99.0507096608745,
- 99.0507096608745,
- 99.0507096608745,
- 99.0507096608745,
- 99.0507096608745
+ 57.54299999999999,
+ 71.7,
+ 71.7,
+ 71.7,
+ 71.7,
+ 71.7
],
"xaxis": "x",
"y": [
@@ -33867,7 +44601,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 5.45033 * Men.circumcised + -470.559<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Gabon<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.73123 * Buy.from.shopkeeper.with.AIDS.M + -126.529<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Gabon<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -33878,22 +44612,23 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 91.956463321059,
- 99.0507096608745,
- 99.0507096608745,
- 99.0507096608745,
- 99.0507096608745,
- 99.0507096608745
+ 57.54299999999999,
+ 71.7,
+ 71.7,
+ 71.7,
+ 71.7,
+ 71.7
],
"xaxis": "x",
"y": [
- 30.633999999999617,
- 69.29999999999984,
- 69.29999999999984,
- 69.29999999999984,
- 69.29999999999984,
- 69.29999999999984
+ 30.63399999999986,
+ 69.29999999999997,
+ 69.29999999999997,
+ 69.29999999999997,
+ 69.29999999999997,
+ 69.29999999999997
],
"yaxis": "y"
},
@@ -33956,7 +44691,7 @@
2014
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -33984,21 +44719,22 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 95.7665045115608,
- 95.7665045115608,
- 95.7665045115608,
- 95.7665045115608,
- 92.63804395431309,
- 92.63804395431309,
- 92.63804395431309,
- 92.63804395431309,
- 92.63804395431309,
- 96.0340163518794,
- 96.0340163518794,
- 96.0340163518794,
- 96.0340163518794,
- 96.0340163518794
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9
],
"xaxis": "x",
"y": [
@@ -34020,7 +44756,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.92533 * Men.circumcised + -344.398<br>R<sup>2</sup>=0.145115<br><br>Cluster=1<br>Country=Ghana<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -1.53492 * Buy.from.shopkeeper.with.AIDS.M + 86.4481<br>R<sup>2</sup>=0.100776<br><br>Cluster=1<br>Country=Ghana<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34031,38 +44767,39 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 92.63804395431309,
- 92.63804395431309,
- 92.63804395431309,
- 92.63804395431309,
- 92.63804395431309,
- 95.7665045115608,
- 95.7665045115608,
- 95.7665045115608,
- 95.7665045115608,
- 96.0340163518794,
- 96.0340163518794,
- 96.0340163518794,
- 96.0340163518794,
- 96.0340163518794
- ],
- "xaxis": "x",
- "y": [
- 19.23766857961118,
- 19.23766857961118,
- 19.23766857961118,
- 19.23766857961118,
- 19.23766857961118,
- 31.51792116597403,
- 31.51792116597403,
- 31.51792116597403,
- 31.51792116597403,
- 32.56799448760967,
- 32.56799448760967,
- 32.56799448760967,
- 32.56799448760967,
- 32.56799448760967
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 35.9,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9
+ ],
+ "xaxis": "x",
+ "y": [
+ 31.34444444444442,
+ 31.34444444444442,
+ 31.34444444444442,
+ 31.34444444444442,
+ 31.34444444444442,
+ 31.34444444444442,
+ 31.34444444444442,
+ 31.34444444444442,
+ 31.34444444444442,
+ 20.599999999999966,
+ 20.599999999999966,
+ 20.599999999999966,
+ 20.599999999999966,
+ 20.599999999999966
],
"yaxis": "y"
},
@@ -34129,7 +44866,7 @@
2018
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34158,22 +44895,23 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.5014091625706,
- 97.5014091625706,
- 97.5014091625706,
- 97.5014091625706,
- 99.1326984621465,
- 99.1326984621465,
- 99.1326984621465,
- 99.1326984621465,
- 99.1326984621465,
- 99.1605677782688,
- 99.1605677782688,
- 99.1605677782688,
- 99.1605677782688,
- 99.1605677782688,
- 98.86916889375341
+ 68.9,
+ 68.9,
+ 68.9,
+ 68.9,
+ 48.4,
+ 48.4,
+ 48.4,
+ 48.4,
+ 48.4,
+ 54,
+ 54,
+ 54,
+ 54,
+ 54,
+ 48.8
],
"xaxis": "x",
"y": [
@@ -34196,7 +44934,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 10.516 * Men.circumcised + -1017.58<br>R<sup>2</sup>=0.523336<br><br>Cluster=1<br>Country=Nigeria<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -0.776388 * Buy.from.shopkeeper.with.AIDS.M + 63.5324<br>R<sup>2</sup>=0.376446<br><br>Cluster=1<br>Country=Nigeria<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34207,40 +44945,41 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.5014091625706,
- 97.5014091625706,
- 97.5014091625706,
- 97.5014091625706,
- 98.86916889375341,
- 99.1326984621465,
- 99.1326984621465,
- 99.1326984621465,
- 99.1326984621465,
- 99.1326984621465,
- 99.1605677782688,
- 99.1605677782688,
- 99.1605677782688,
- 99.1605677782688,
- 99.1605677782688
+ 48.4,
+ 48.4,
+ 48.4,
+ 48.4,
+ 48.4,
+ 48.8,
+ 54,
+ 54,
+ 54,
+ 54,
+ 54,
+ 68.9,
+ 68.9,
+ 68.9,
+ 68.9
],
"xaxis": "x",
"y": [
- 7.74793519278262,
- 7.74793519278262,
- 7.74793519278262,
- 7.74793519278262,
- 22.131362487692172,
- 24.902652137931113,
- 24.902652137931113,
- 24.902652137931113,
- 24.902652137931113,
- 24.902652137931113,
- 25.19572721030329,
- 25.19572721030329,
- 25.19572721030329,
- 25.19572721030329,
- 25.19572721030329
+ 25.955213688883347,
+ 25.955213688883347,
+ 25.955213688883347,
+ 25.955213688883347,
+ 25.955213688883347,
+ 25.64465859709621,
+ 21.607442403863416,
+ 21.607442403863416,
+ 21.607442403863416,
+ 21.607442403863416,
+ 21.607442403863416,
+ 10.03926523479251,
+ 10.03926523479251,
+ 10.03926523479251,
+ 10.03926523479251
],
"yaxis": "y"
},
@@ -34287,7 +45026,7 @@
2011
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34311,17 +45050,18 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.5846724446685,
- 97.5846724446685,
- 97.5846724446685,
- 97.5846724446685,
- 97.5846724446685,
- 99.2563840565058,
- 99.2563840565058,
- 99.2563840565058,
- 99.2563840565058,
- 99.2563840565058
+ 64.9,
+ 64.9,
+ 64.9,
+ 64.9,
+ 64.9,
+ 67,
+ 67,
+ 67,
+ 67,
+ 67
],
"xaxis": "x",
"y": [
@@ -34339,7 +45079,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 16.6297 * Men.circumcised + -1612.5<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Congo<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 13.2381 * Buy.from.shopkeeper.with.AIDS.M + -848.852<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Congo<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34350,30 +45090,31 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.5846724446685,
- 97.5846724446685,
- 97.5846724446685,
- 97.5846724446685,
- 97.5846724446685,
- 99.2563840565058,
- 99.2563840565058,
- 99.2563840565058,
- 99.2563840565058,
- 99.2563840565058
+ 64.9,
+ 64.9,
+ 64.9,
+ 64.9,
+ 64.9,
+ 67,
+ 67,
+ 67,
+ 67,
+ 67
],
"xaxis": "x",
"y": [
- 10.300000000000864,
- 10.300000000000864,
- 10.300000000000864,
- 10.300000000000864,
- 10.300000000000864,
- 38.100000000000364,
- 38.100000000000364,
- 38.100000000000364,
- 38.100000000000364,
- 38.100000000000364
+ 10.300000000000182,
+ 10.300000000000182,
+ 10.300000000000182,
+ 10.300000000000182,
+ 10.300000000000182,
+ 38.10000000000002,
+ 38.10000000000002,
+ 38.10000000000002,
+ 38.10000000000002,
+ 38.10000000000002
],
"yaxis": "y"
},
@@ -34420,7 +45161,7 @@
2013
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34444,17 +45185,18 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 96.867642410427,
- 96.867642410427,
- 96.867642410427,
- 96.867642410427,
- 96.867642410427,
- 98.204101651346,
- 98.204101651346,
- 98.204101651346,
- 98.204101651346,
- 98.204101651346
+ 50.2,
+ 50.2,
+ 50.2,
+ 50.2,
+ 50.2,
+ 56.7,
+ 56.7,
+ 56.7,
+ 56.7,
+ 56.7
],
"xaxis": "x",
"y": [
@@ -34472,7 +45214,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 9.1286 * Men.circumcised + -874.366<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Congo Democratic Republic<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 1.87692 * Buy.from.shopkeeper.with.AIDS.M + -84.3215<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Congo Democratic Republic<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34483,30 +45225,31 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 96.867642410427,
- 96.867642410427,
- 96.867642410427,
- 96.867642410427,
- 96.867642410427,
- 98.204101651346,
- 98.204101651346,
- 98.204101651346,
- 98.204101651346,
- 98.204101651346
+ 50.2,
+ 50.2,
+ 50.2,
+ 50.2,
+ 50.2,
+ 56.7,
+ 56.7,
+ 56.7,
+ 56.7,
+ 56.7
],
"xaxis": "x",
"y": [
- 9.900000000000205,
- 9.900000000000205,
- 9.900000000000205,
- 9.900000000000205,
- 9.900000000000205,
- 22.100000000000023,
- 22.100000000000023,
- 22.100000000000023,
- 22.100000000000023,
- 22.100000000000023
+ 9.900000000000006,
+ 9.900000000000006,
+ 9.900000000000006,
+ 9.900000000000006,
+ 9.900000000000006,
+ 22.10000000000001,
+ 22.10000000000001,
+ 22.10000000000001,
+ 22.10000000000001,
+ 22.10000000000001
],
"yaxis": "y"
},
@@ -34553,7 +45296,7 @@
2013
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34577,17 +45320,18 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 98.8485274404937,
- 98.8485274404937,
- 98.8485274404937,
- 98.8485274404937,
- 98.8485274404937,
- 99.2254430872605,
- 99.2254430872605,
- 99.2254430872605,
- 99.2254430872605,
- 99.2254430872605
+ 54.5,
+ 54.5,
+ 54.5,
+ 54.5,
+ 54.5,
+ 49.5,
+ 49.5,
+ 49.5,
+ 49.5,
+ 49.5
],
"xaxis": "x",
"y": [
@@ -34605,7 +45349,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 124.166 * Men.circumcised + -12269.6<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Liberia<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -9.36 * Buy.from.shopkeeper.with.AIDS.M + 514.12<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Liberia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34616,30 +45360,31 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 98.8485274404937,
- 98.8485274404937,
- 98.8485274404937,
- 98.8485274404937,
- 98.8485274404937,
- 99.2254430872605,
- 99.2254430872605,
- 99.2254430872605,
- 99.2254430872605,
- 99.2254430872605
+ 49.5,
+ 49.5,
+ 49.5,
+ 49.5,
+ 49.5,
+ 54.5,
+ 54.5,
+ 54.5,
+ 54.5,
+ 54.5
],
"xaxis": "x",
"y": [
- 4.000000000005457,
- 4.000000000005457,
- 4.000000000005457,
- 4.000000000005457,
- 4.000000000005457,
- 50.80000000000291,
- 50.80000000000291,
- 50.80000000000291,
- 50.80000000000291,
- 50.80000000000291
+ 50.79999999999984,
+ 50.79999999999984,
+ 50.79999999999984,
+ 50.79999999999984,
+ 50.79999999999984,
+ 3.999999999999943,
+ 3.999999999999943,
+ 3.999999999999943,
+ 3.999999999999943,
+ 3.999999999999943
],
"yaxis": "y"
},
@@ -34666,7 +45411,7 @@
2011
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34685,12 +45430,13 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.13981519668779,
- 97.13981519668779,
- 97.13981519668779,
- 97.13981519668779,
- 97.13981519668779
+ 55.5,
+ 55.5,
+ 55.5,
+ 55.5,
+ 55.5
],
"xaxis": "x",
"y": [
@@ -34703,7 +45449,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.38913<br>R<sup>2</sup>=-inf<br><br>Cluster=1<br>Country=Cote d'Ivoire<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.681081<br>R<sup>2</sup>=nan<br><br>Cluster=1<br>Country=Cote d'Ivoire<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34714,20 +45460,21 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.13981519668779,
- 97.13981519668779,
- 97.13981519668779,
- 97.13981519668779,
- 97.13981519668779
+ 55.5,
+ 55.5,
+ 55.5,
+ 55.5,
+ 55.5
],
"xaxis": "x",
"y": [
- 37.79999999999998,
- 37.79999999999998,
- 37.79999999999998,
- 37.79999999999998,
- 37.79999999999998
+ 37.8,
+ 37.8,
+ 37.8,
+ 37.8,
+ 37.8
],
"yaxis": "y"
},
@@ -34754,7 +45501,7 @@
2013
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34773,12 +45520,13 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.660495529226,
- 97.660495529226,
- 97.660495529226,
- 97.660495529226,
- 97.660495529226
+ 57.5,
+ 57.5,
+ 57.5,
+ 57.5,
+ 57.5
],
"xaxis": "x",
"y": [
@@ -34791,7 +45539,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.513002<br>R<sup>2</sup>=-inf<br><br>Cluster=1<br>Country=Togo<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.871304<br>R<sup>2</sup>=-inf<br><br>Cluster=1<br>Country=Togo<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34802,20 +45550,21 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.660495529226,
- 97.660495529226,
- 97.660495529226,
- 97.660495529226,
- 97.660495529226
+ 57.5,
+ 57.5,
+ 57.5,
+ 57.5,
+ 57.5
],
"xaxis": "x",
"y": [
- 50.10000000000001,
- 50.10000000000001,
- 50.10000000000001,
- 50.10000000000001,
- 50.10000000000001
+ 50.09999999999999,
+ 50.09999999999999,
+ 50.09999999999999,
+ 50.09999999999999,
+ 50.09999999999999
],
"yaxis": "y"
},
@@ -34838,7 +45587,7 @@
2015
]
],
- "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34856,11 +45605,12 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.0446734491313,
- 97.0446734491313,
- 97.0446734491313,
- 97.0446734491313
+ 65.4,
+ 65.4,
+ 65.4,
+ 65.4
],
"xaxis": "x",
"y": [
@@ -34872,7 +45622,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.501831<br>R<sup>2</sup>=-inf<br><br>Cluster=1<br>Country=Angola<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.744648<br>R<sup>2</sup>=nan<br><br>Cluster=1<br>Country=Angola<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "1",
"marker": {
"color": "#2a6b28",
@@ -34883,18 +45633,19 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.0446734491313,
- 97.0446734491313,
- 97.0446734491313,
- 97.0446734491313
+ 65.4,
+ 65.4,
+ 65.4,
+ 65.4
],
"xaxis": "x",
"y": [
- 48.69999999999999,
- 48.69999999999999,
- 48.69999999999999,
- 48.69999999999999
+ 48.7,
+ 48.7,
+ 48.7,
+ 48.7
],
"yaxis": "y"
},
@@ -34937,7 +45688,7 @@
2010
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -34960,16 +45711,17 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 90.37084524907301,
- 90.37084524907301,
- 90.37084524907301,
- 90.37084524907301,
- 89.481475846225,
- 89.481475846225,
- 89.481475846225,
- 89.481475846225,
- 89.481475846225
+ 36.90499999999998,
+ 36.90499999999998,
+ 36.90499999999998,
+ 36.90499999999998,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9
],
"xaxis": "x",
"y": [
@@ -34986,7 +45738,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -25.8509 * Men.circumcised + 2343.58<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Burkina Faso<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.83503 * Buy.from.shopkeeper.with.AIDS.M + -134.123<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Burkina Faso<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -34997,28 +45749,29 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 89.481475846225,
- 89.481475846225,
- 89.481475846225,
- 89.481475846225,
- 89.481475846225,
- 90.37084524907301,
- 90.37084524907301,
- 90.37084524907301,
- 90.37084524907301
+ 36.90499999999998,
+ 36.90499999999998,
+ 36.90499999999998,
+ 36.90499999999998,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9,
+ 42.9
],
"xaxis": "x",
"y": [
- 30.400000000000546,
- 30.400000000000546,
- 30.400000000000546,
- 30.400000000000546,
- 30.400000000000546,
- 7.4090000000001055,
- 7.4090000000001055,
- 7.4090000000001055,
- 7.4090000000001055
+ 7.408999999999963,
+ 7.408999999999963,
+ 7.408999999999963,
+ 7.408999999999963,
+ 30.39999999999995,
+ 30.39999999999995,
+ 30.39999999999995,
+ 30.39999999999995,
+ 30.39999999999995
],
"yaxis": "y"
},
@@ -35065,7 +45818,7 @@
2014
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35089,17 +45842,18 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 95.35944040196979,
- 95.35944040196979,
- 95.35944040196979,
- 95.35944040196979,
- 95.35944040196979,
- 96.65600940665442,
- 96.65600940665442,
- 96.65600940665442,
- 96.65600940665442,
- 96.65600940665442
+ 18.3,
+ 18.3,
+ 18.3,
+ 18.3,
+ 18.3,
+ 52.5,
+ 52.5,
+ 52.5,
+ 52.5,
+ 52.5
],
"xaxis": "x",
"y": [
@@ -35117,7 +45871,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 11.7232 * Men.circumcised + -1115.82<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Chad<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.444444 * Buy.from.shopkeeper.with.AIDS.M + -6.03333<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Chad<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35128,30 +45882,31 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 95.35944040196979,
- 95.35944040196979,
- 95.35944040196979,
- 95.35944040196979,
- 95.35944040196979,
- 96.65600940665442,
- 96.65600940665442,
- 96.65600940665442,
- 96.65600940665442,
- 96.65600940665442
+ 18.3,
+ 18.3,
+ 18.3,
+ 18.3,
+ 18.3,
+ 52.5,
+ 52.5,
+ 52.5,
+ 52.5,
+ 52.5
],
"xaxis": "x",
"y": [
- 2.1000000000001364,
- 2.1000000000001364,
- 2.1000000000001364,
- 2.1000000000001364,
- 2.1000000000001364,
- 17.299999999999955,
- 17.299999999999955,
- 17.299999999999955,
- 17.299999999999955,
- 17.299999999999955
+ 2.1000000000000068,
+ 2.1000000000000068,
+ 2.1000000000000068,
+ 2.1000000000000068,
+ 2.1000000000000068,
+ 17.30000000000002,
+ 17.30000000000002,
+ 17.30000000000002,
+ 17.30000000000002,
+ 17.30000000000002
],
"yaxis": "y"
},
@@ -35182,7 +45937,7 @@
2005
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35202,13 +45957,14 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 90.872534890205,
- 92.6253862234778,
- 92.6253862234778,
- 92.6253862234778,
- 92.6253862234778,
- 92.6253862234778
+ 35.93999999999999,
+ 26.1,
+ 26.1,
+ 26.1,
+ 26.1,
+ 26.1
],
"xaxis": "x",
"y": [
@@ -35222,7 +45978,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -2.14394 * Men.circumcised + 200.683<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Ethiopia<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.381911 * Buy.from.shopkeeper.with.AIDS.M + -7.86787<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Ethiopia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35233,22 +45989,23 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 90.872534890205,
- 92.6253862234778,
- 92.6253862234778,
- 92.6253862234778,
- 92.6253862234778,
- 92.6253862234778
+ 26.1,
+ 26.1,
+ 26.1,
+ 26.1,
+ 26.1,
+ 35.93999999999999
],
"xaxis": "x",
"y": [
- 5.858000000000004,
- 2.099999999999966,
- 2.099999999999966,
- 2.099999999999966,
- 2.099999999999966,
- 2.099999999999966
+ 2.099999999999995,
+ 2.099999999999995,
+ 2.099999999999995,
+ 2.099999999999995,
+ 2.099999999999995,
+ 5.858000000000005
],
"yaxis": "y"
},
@@ -35307,7 +46064,7 @@
2018
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35334,20 +46091,21 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.51059017585449,
- 97.51059017585449,
- 98.15245576935659,
- 98.15245576935659,
- 98.15245576935659,
- 98.15245576935659,
- 98.15245576935659,
- 98.42857910873519,
- 98.42857910873519,
- 98.42857910873519,
- 98.42857910873519,
- 98.42857910873519,
- 98.9021108921111
+ 33.33599999999998,
+ 33.33599999999998,
+ 36.7,
+ 36.7,
+ 36.7,
+ 36.7,
+ 36.7,
+ 55.2,
+ 55.2,
+ 55.2,
+ 55.2,
+ 55.2,
+ 42.2
],
"xaxis": "x",
"y": [
@@ -35368,7 +46126,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 11.6161 * Men.circumcised + -1130.39<br>R<sup>2</sup>=0.831045<br><br>Cluster=2<br>Country=Mali<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.406367 * Buy.from.shopkeeper.with.AIDS.M + -7.24367<br>R<sup>2</sup>=0.667302<br><br>Cluster=2<br>Country=Mali<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35379,36 +46137,37 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.51059017585449,
- 97.51059017585449,
- 98.15245576935659,
- 98.15245576935659,
- 98.15245576935659,
- 98.15245576935659,
- 98.15245576935659,
- 98.42857910873519,
- 98.42857910873519,
- 98.42857910873519,
- 98.42857910873519,
- 98.42857910873519,
- 98.9021108921111
+ 33.33599999999998,
+ 33.33599999999998,
+ 36.7,
+ 36.7,
+ 36.7,
+ 36.7,
+ 36.7,
+ 42.2,
+ 55.2,
+ 55.2,
+ 55.2,
+ 55.2,
+ 55.2
],
"xaxis": "x",
"y": [
- 2.3106490136333377,
- 2.3106490136333377,
- 9.766651046154948,
- 9.766651046154948,
- 9.766651046154948,
- 9.766651046154948,
- 9.766651046154948,
- 12.974139031919321,
- 12.974139031919321,
- 12.974139031919321,
- 12.974139031919321,
- 12.974139031919321,
- 18.474751582361023
+ 6.302984772605761,
+ 6.302984772605761,
+ 7.670004045548829,
+ 7.670004045548829,
+ 7.670004045548829,
+ 7.670004045548829,
+ 7.670004045548829,
+ 9.905023665402222,
+ 15.187797312328424,
+ 15.187797312328424,
+ 15.187797312328424,
+ 15.187797312328424,
+ 15.187797312328424
],
"yaxis": "y"
},
@@ -35471,7 +46230,7 @@
2017
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35499,21 +46258,22 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 98.1053592952659,
- 98.1053592952659,
- 98.1053592952659,
- 98.1053592952659,
- 98.1053592952659,
- 97.7636390435517,
- 97.7636390435517,
- 97.7636390435517,
- 97.7636390435517,
- 97.83267142652309,
- 97.958685580722,
- 98.08145677622672,
- 98.1875480781308,
- 98.1875480781308
+ 36.1,
+ 36.1,
+ 36.1,
+ 36.1,
+ 36.1,
+ 43.8,
+ 43.8,
+ 43.8,
+ 43.8,
+ 43.6,
+ 38.6,
+ 43.7,
+ 37.6,
+ 37.6
],
"xaxis": "x",
"y": [
@@ -35535,7 +46295,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -20.4928 * Men.circumcised + 2035<br>R<sup>2</sup>=0.037959<br><br>Cluster=2<br>Country=Senegal<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.56819 * Buy.from.shopkeeper.with.AIDS.M + -75.1835<br>R<sup>2</sup>=0.269204<br><br>Cluster=2<br>Country=Senegal<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35546,38 +46306,39 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.7636390435517,
- 97.7636390435517,
- 97.7636390435517,
- 97.7636390435517,
- 97.83267142652309,
- 97.958685580722,
- 98.08145677622672,
- 98.1053592952659,
- 98.1053592952659,
- 98.1053592952659,
- 98.1053592952659,
- 98.1053592952659,
- 98.1875480781308,
- 98.1875480781308
- ],
- "xaxis": "x",
- "y": [
- 31.55091366539341,
- 31.55091366539341,
- 31.55091366539341,
- 31.55091366539341,
- 30.136248836366576,
- 27.553869607495926,
- 25.037947589128635,
- 24.548118735561502,
- 24.548118735561502,
- 24.548118735561502,
- 24.548118735561502,
- 24.548118735561502,
- 22.863842813814927,
- 22.863842813814927
+ 36.1,
+ 36.1,
+ 36.1,
+ 36.1,
+ 36.1,
+ 37.6,
+ 37.6,
+ 38.6,
+ 43.6,
+ 43.7,
+ 43.8,
+ 43.8,
+ 43.8,
+ 43.8
+ ],
+ "xaxis": "x",
+ "y": [
+ 17.52820959041948,
+ 17.52820959041948,
+ 17.52820959041948,
+ 17.52820959041948,
+ 17.52820959041948,
+ 21.380497500948493,
+ 21.380497500948493,
+ 23.94868944130117,
+ 36.78964914306454,
+ 37.04646833709981,
+ 37.303287531135055,
+ 37.303287531135055,
+ 37.303287531135055,
+ 37.303287531135055
],
"yaxis": "y"
},
@@ -35624,7 +46385,7 @@
2012
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35648,17 +46409,18 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 99.3982707146662,
- 99.3982707146662,
- 99.3982707146662,
- 99.3982707146662,
- 99.3982707146662,
- 99.66888445530192,
- 99.66888445530192,
- 99.66888445530192,
- 99.66888445530192,
- 99.66888445530192
+ 31.2,
+ 31.2,
+ 31.2,
+ 31.2,
+ 31.2,
+ 32.4,
+ 32.4,
+ 32.4,
+ 32.4,
+ 32.4
],
"xaxis": "x",
"y": [
@@ -35676,7 +46438,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 80.9272 * Men.circumcised + -8041.92<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Niger<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 18.25 * Buy.from.shopkeeper.with.AIDS.M + -567.3<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Niger<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35687,30 +46449,31 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 99.3982707146662,
- 99.3982707146662,
- 99.3982707146662,
- 99.3982707146662,
- 99.3982707146662,
- 99.66888445530192,
- 99.66888445530192,
- 99.66888445530192,
- 99.66888445530192,
- 99.66888445530192
+ 31.2,
+ 31.2,
+ 31.2,
+ 31.2,
+ 31.2,
+ 32.4,
+ 32.4,
+ 32.4,
+ 32.4,
+ 32.4
],
"xaxis": "x",
"y": [
- 2.1000000000067303,
- 2.1000000000067303,
- 2.1000000000067303,
- 2.1000000000067303,
- 2.1000000000067303,
- 24.000000000003638,
- 24.000000000003638,
- 24.000000000003638,
- 24.000000000003638,
- 24.000000000003638
+ 2.1000000000000227,
+ 2.1000000000000227,
+ 2.1000000000000227,
+ 2.1000000000000227,
+ 2.1000000000000227,
+ 24,
+ 24,
+ 24,
+ 24,
+ 24
],
"yaxis": "y"
},
@@ -35757,7 +46520,7 @@
2013
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35781,17 +46544,18 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.9982784160636,
- 97.9982784160636,
- 97.9982784160636,
- 97.9982784160636,
- 97.9982784160636,
- 99.55896401474779,
- 99.55896401474779,
- 99.55896401474779,
- 99.55896401474779,
- 99.55896401474779
+ 40.3,
+ 40.3,
+ 40.3,
+ 40.3,
+ 40.3,
+ 43.1,
+ 43.1,
+ 43.1,
+ 43.1,
+ 43.1
],
"xaxis": "x",
"y": [
@@ -35809,7 +46573,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 23.8357 * Men.circumcised + -2323.16<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Sierra Leone<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 13.2857 * Buy.from.shopkeeper.with.AIDS.M + -522.714<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Sierra Leone<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35820,17 +46584,18 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 97.9982784160636,
- 97.9982784160636,
- 97.9982784160636,
- 97.9982784160636,
- 97.9982784160636,
- 99.55896401474779,
- 99.55896401474779,
- 99.55896401474779,
- 99.55896401474779,
- 99.55896401474779
+ 40.3,
+ 40.3,
+ 40.3,
+ 40.3,
+ 40.3,
+ 43.1,
+ 43.1,
+ 43.1,
+ 43.1,
+ 43.1
],
"xaxis": "x",
"y": [
@@ -35839,11 +46604,11 @@
12.699999999999818,
12.699999999999818,
12.699999999999818,
- 49.89999999999918,
- 49.89999999999918,
- 49.89999999999918,
- 49.89999999999918,
- 49.89999999999918
+ 49.89999999999975,
+ 49.89999999999975,
+ 49.89999999999975,
+ 49.89999999999975,
+ 49.89999999999975
],
"yaxis": "y"
},
@@ -35870,7 +46635,7 @@
2013
]
],
- "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
+ "hovertemplate": "Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35889,12 +46654,13 @@
],
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 94.5,
- 94.5,
- 94.5,
- 94.5,
- 94.5
+ 53,
+ 53,
+ 53,
+ 53,
+ 53
],
"xaxis": "x",
"y": [
@@ -35907,7 +46673,7 @@
"yaxis": "y"
},
{
- "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.45291<br>R<sup>2</sup>=nan<br><br>Cluster=2<br>Country=Gambia<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
+ "hovertemplate": "<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.807547<br>R<sup>2</sup>=-inf<br><br>Cluster=2<br>Country=Gambia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>",
"legendgroup": "2",
"marker": {
"color": "#4f5a90",
@@ -35918,20 +46684,21 @@
"showlegend": false,
"textposition": "top center",
"type": "scatter",
+ "visible": true,
"x": [
- 94.5,
- 94.5,
- 94.5,
- 94.5,
- 94.5
+ 53,
+ 53,
+ 53,
+ 53,
+ 53
],
"xaxis": "x",
"y": [
- 42.8,
- 42.8,
- 42.8,
- 42.8,
- 42.8
+ 42.79999999999999,
+ 42.79999999999999,
+ 42.79999999999999,
+ 42.79999999999999,
+ 42.79999999999999
],
"yaxis": "y"
}
@@ -36761,11 +47528,11 @@
1
],
"range": [
- 3.94031174798579,
- 105.1139203134321
+ 13.875118858954043,
+ 96.52488114104595
],
"title": {
- "text": "Men.circumcised"
+ "text": "Buy.from.shopkeeper.with.AIDS.M"
},
"type": "linear"
},
@@ -36777,8 +47544,8 @@
1
],
"range": [
- -4.068766373236484,
- 106.71724196243915
+ -27.62602657663163,
+ 93.65303887154627
],
"title": {
"text": "Ever.receiving.HIV.test.W"
@@ -36787,11 +47554,11 @@
}
}
},
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54.93400000000004, 54.93400000000004, 85.5, 85.5, 85.5, 85.5, 85.5], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.56587 * Men.circumcised + -101.66<br>R<sup>2</sup>=0.865048<br><br>Cluster=0<br>Country=Lesotho<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": \"x\"}, \"mode\": \"lines\", \"name\": \"0, Lesotho\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [49.5747521546131, 49.5747521546131, 49.5747521546131, 49.5747521546131, 49.5747521546131, 55.3981032230803, 55.3981032230803, 55.3981032230803, 55.3981032230803, 55.3981032230803, 74.2701004856573, 74.2701004856573, 74.2701004856573, 74.2701004856573, 74.2701004856573], \"xaxis\": \"x\", \"y\": [25.542350954874678, 25.542350954874678, 25.542350954874678, 25.542350954874678, 25.542350954874678, 40.48429976795215, 40.48429976795215, 40.48429976795215, 40.48429976795215, 40.48429976795215, 88.90734927717337, 88.90734927717337, 88.90734927717337, 88.90734927717337, 88.90734927717337], \"yaxis\": \"y\"}, {\"customdata\": [[\"Malawi\", 2004], [\"Malawi\", 2004], [\"Malawi\", 2004], [\"Malawi\", 2004], [\"Malawi\", 2004], [\"Malawi\", 2010], [\"Malawi\", 2010], [\"Malawi\", 2010], [\"Malawi\", 2010], [\"Malawi\", 2010], [\"Malawi\", 2015], [\"Malawi\", 2015], [\"Malawi\", 2015], [\"Malawi\", 2015]], \"hovertemplate\": \"Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": \"cross\"}, \"mode\": \"markers+text\", \"name\": \"0, Malawi\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\", \"Malawi\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [21.7278365422234, 21.7278365422234, 21.7278365422234, 21.7278365422234, 21.7278365422234, 22.1566516781849, 22.1566516781849, 22.1566516781849, 22.1566516781849, 22.1566516781849, 28.5148595443723, 28.5148595443723, 28.5148595443723, 28.5148595443723], \"xaxis\": \"x\", \"y\": [15.3, 15.3, 15.3, 15.3, 15.3, 73.1, 73.1, 73.1, 73.1, 73.1, 83.3, 83.3, 83.3, 83.3], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 6.42702 * Men.circumcised + -97.721<br>R<sup>2</sup>=0.402300<br><br>Cluster=0<br>Country=Malawi<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": \"cross\"}, \"mode\": \"lines\", \"name\": \"0, Malawi\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [21.7278365422234, 21.7278365422234, 21.7278365422234, 21.7278365422234, 21.7278365422234, 22.1566516781849, 22.1566516781849, 22.1566516781849, 22.1566516781849, 22.1566516781849, 28.5148595443723, 28.5148595443723, 28.5148595443723, 28.5148595443723], \"xaxis\": \"x\", \"y\": [41.9241940778836, 41.9241940778836, 41.9241940778836, 41.9241940778836, 41.9241940778836, 44.68019658633368, 44.68019658633368, 44.68019658633368, 44.68019658633368, 44.68019658633368, 85.54451166972832, 85.54451166972832, 85.54451166972832, 85.54451166972832], \"yaxis\": \"y\"}, {\"customdata\": [[\"Namibia\", 2000], [\"Namibia\", 2006], [\"Namibia\", 2006], [\"Namibia\", 2006], [\"Namibia\", 2006], [\"Namibia\", 2006], [\"Namibia\", 2013], [\"Namibia\", 2013], [\"Namibia\", 2013], [\"Namibia\", 2013], [\"Namibia\", 2013]], \"hovertemplate\": \"Cluster=0<br>Country=%{customdata[0]}<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": \"diamond\"}, \"mode\": \"markers+text\", \"name\": \"0, Namibia\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\", \"Namibia\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [16.845245603113, 20.7021604966556, 20.7021604966556, 20.7021604966556, 20.7021604966556, 20.7021604966556, 26.3340374196315, 26.3340374196315, 26.3340374196315, 26.3340374196315, 26.3340374196315], \"xaxis\": \"x\", \"y\": [23.7, 54.8, 54.8, 54.8, 54.8, 54.8, 81.4, 81.4, 81.4, 81.4, 81.4], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 5.37562 * Men.circumcised + -59.0998<br>R<sup>2</sup>=0.971948<br><br>Cluster=0<br>Country=Namibia<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": 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{\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.35385 * Men.circumcised + -31.8076<br>R<sup>2</sup>=1.000000<br><br>Cluster=0<br>Country=Burundi<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": \"x\"}, \"mode\": \"lines\", \"name\": \"0, Burundi\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [30.7613696555178, 30.7613696555178, 30.7613696555178, 30.7613696555178, 30.7613696555178, 42.3169065562852, 42.3169065562852, 42.3169065562852], \"xaxis\": \"x\", \"y\": [40.60000000000005, 40.60000000000005, 40.60000000000005, 40.60000000000005, 40.60000000000005, 67.80000000000004, 67.80000000000004, 67.80000000000004], \"yaxis\": \"y\"}, {\"customdata\": [[\"Benin\", 2001], [\"Benin\", 2001], [\"Benin\", 2006], [\"Benin\", 2006], [\"Benin\", 2006], [\"Benin\", 2006], [\"Benin\", 2006], [\"Benin\", 2011], 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-470.559<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Gabon<br>Men.circumcised=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"circle\"}, \"mode\": \"lines\", \"name\": \"1, Gabon\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [91.956463321059, 99.0507096608745, 99.0507096608745, 99.0507096608745, 99.0507096608745, 99.0507096608745], \"xaxis\": \"x\", \"y\": [30.633999999999617, 69.29999999999984, 69.29999999999984, 69.29999999999984, 69.29999999999984, 69.29999999999984], \"yaxis\": \"y\"}, {\"customdata\": [[\"Ghana\", 2003], [\"Ghana\", 2003], [\"Ghana\", 2003], [\"Ghana\", 2003], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2014], [\"Ghana\", 2014], [\"Ghana\", 2014], [\"Ghana\", 2014], [\"Ghana\", 2014]], \"hovertemplate\": 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80.2, 80.2, 80.2, 86.9], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.72632 * Buy.from.shopkeeper.with.AIDS.M + -228.988<br>R<sup>2</sup>=0.968291<br><br>Cluster=0<br>Country=Zambia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": \"circle\"}, \"mode\": \"lines\", \"name\": \"0, Zambia\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [63.65699999999998, 63.65699999999998, 72.5, 72.5, 72.5, 72.5, 72.5, 80.4, 83.5, 83.5, 83.5, 83.5, 83.5], \"xaxis\": \"x\", \"y\": [8.21872131030699, 8.21872131030699, 41.17061155952757, 41.17061155952757, 41.17061155952757, 41.17061155952757, 41.17061155952757, 70.60857751778184, 82.16018441279294, 82.16018441279294, 82.16018441279294, 82.16018441279294, 82.16018441279294], \"yaxis\": \"y\"}, {\"customdata\": [[\"Zimbabwe\", 2005], 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83.1], \"xaxis\": \"x\", \"y\": [25.8, 25.8, 25.8, 25.8, 25.8, 59.7, 59.7, 59.7, 59.7, 59.7, 80.6, 80.6, 80.6, 80.6], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 3.1473 * Buy.from.shopkeeper.with.AIDS.M + -187.069<br>R<sup>2</sup>=0.952146<br><br>Cluster=0<br>Country=Zimbabwe<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"0\", \"marker\": {\"color\": \"#890000\", \"symbol\": \"x\"}, \"mode\": \"lines\", \"name\": \"0, Zimbabwe\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [67.3, 67.3, 67.3, 67.3, 67.3, 80.3, 80.3, 80.3, 80.3, 80.3, 83.1, 83.1, 83.1, 83.1], \"xaxis\": \"x\", \"y\": [24.743989076867308, 24.743989076867308, 24.743989076867308, 24.743989076867308, 24.743989076867308, 65.65891878053469, 65.65891878053469, 65.65891878053469, 65.65891878053469, 65.65891878053469, 74.47136517824765, 74.47136517824765, 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4.57199<br>R<sup>2</sup>=0.039859<br><br>Cluster=1<br>Country=Benin<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"circle\"}, \"mode\": \"lines\", \"name\": \"1, Benin\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [31.6, 31.6, 36.7, 36.7, 36.7, 36.7, 36.7, 40.326, 40.326, 44.5, 44.5, 44.5, 44.5, 44.5], \"xaxis\": \"x\", \"y\": [21.502203969545363, 21.502203969545363, 24.23461133817938, 24.23461133817938, 24.23461133817938, 24.23461133817938, 24.23461133817938, 26.17729940066309, 26.17729940066309, 28.413587313737285, 28.413587313737285, 28.413587313737285, 28.413587313737285, 28.413587313737285], \"yaxis\": \"y\"}, {\"customdata\": [[\"Cameroon\", 2004], [\"Cameroon\", 2004], [\"Cameroon\", 2004], [\"Cameroon\", 2004], [\"Cameroon\", 2004], [\"Cameroon\", 2011], [\"Cameroon\", 2011], [\"Cameroon\", 2011], [\"Cameroon\", 2011], [\"Cameroon\", 2011], [\"Cameroon\", 2018]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"square\"}, \"mode\": \"markers+text\", \"name\": \"1, Cameroon\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\", \"Cameroon\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [50.0, 50.0, 50.0, 50.0, 50.0, 58.4, 58.4, 58.4, 58.4, 58.4, 57.9], \"xaxis\": \"x\", \"y\": [21.1, 21.1, 21.1, 21.1, 21.1, 53.8, 53.8, 53.8, 53.8, 53.8, 71.2], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 4.23745 * Buy.from.shopkeeper.with.AIDS.M + -190.577<br>R<sup>2</sup>=0.914301<br><br>Cluster=1<br>Country=Cameroon<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"square\"}, \"mode\": \"lines\", \"name\": \"1, Cameroon\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [50.0, 50.0, 50.0, 50.0, 50.0, 57.9, 58.4, 58.4, 58.4, 58.4, 58.4], \"xaxis\": \"x\", \"y\": [21.295578395031953, 21.295578395031953, 21.295578395031953, 21.295578395031953, 21.295578395031953, 54.7714148173109, 56.89013864150576, 56.89013864150576, 56.89013864150576, 56.89013864150576, 56.89013864150576], \"yaxis\": \"y\"}, {\"customdata\": [[\"Ethiopia\", 2011], [\"Ethiopia\", 2011], [\"Ethiopia\", 2011], [\"Ethiopia\", 2011], [\"Ethiopia\", 2011], [\"Ethiopia\", 2016], [\"Ethiopia\", 2016], [\"Ethiopia\", 2016]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"cross\"}, \"mode\": \"markers+text\", \"name\": \"1, Ethiopia\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [47.1, 47.1, 47.1, 47.1, 47.1, 51.6, 51.6, 51.6], \"xaxis\": \"x\", \"y\": [38.8, 38.8, 38.8, 38.8, 38.8, 44.2, 44.2, 44.2], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 1.2 * Buy.from.shopkeeper.with.AIDS.M + -17.72<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Ethiopia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"cross\"}, \"mode\": \"lines\", \"name\": \"1, Ethiopia\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [47.1, 47.1, 47.1, 47.1, 47.1, 51.6, 51.6, 51.6], \"xaxis\": \"x\", \"y\": [38.800000000000026, 38.800000000000026, 38.800000000000026, 38.800000000000026, 38.800000000000026, 44.20000000000003, 44.20000000000003, 44.20000000000003], \"yaxis\": \"y\"}, {\"customdata\": [[\"Gabon\", 2000], [\"Gabon\", 2012], [\"Gabon\", 2012], [\"Gabon\", 2012], [\"Gabon\", 2012], [\"Gabon\", 2012]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"circle\"}, \"mode\": \"markers+text\", \"name\": \"1, Gabon\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Gabon\", \"Gabon\", \"Gabon\", \"Gabon\", \"Gabon\", \"Gabon\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [57.54299999999999, 71.7, 71.7, 71.7, 71.7, 71.7], \"xaxis\": \"x\", \"y\": [30.634, 69.3, 69.3, 69.3, 69.3, 69.3], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 2.73123 * Buy.from.shopkeeper.with.AIDS.M + -126.529<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Gabon<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"circle\"}, \"mode\": \"lines\", \"name\": \"1, Gabon\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [57.54299999999999, 71.7, 71.7, 71.7, 71.7, 71.7], \"xaxis\": \"x\", \"y\": [30.63399999999986, 69.29999999999997, 69.29999999999997, 69.29999999999997, 69.29999999999997, 69.29999999999997], \"yaxis\": \"y\"}, {\"customdata\": [[\"Ghana\", 2003], [\"Ghana\", 2003], [\"Ghana\", 2003], [\"Ghana\", 2003], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2008], [\"Ghana\", 2014], [\"Ghana\", 2014], [\"Ghana\", 2014], [\"Ghana\", 2014], [\"Ghana\", 2014]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"markers+text\", \"name\": \"1, Ghana\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\", \"Ghana\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [35.9, 35.9, 35.9, 35.9, 42.9, 42.9, 42.9, 42.9, 42.9, 35.9, 35.9, 35.9, 35.9, 35.9], \"xaxis\": \"x\", \"y\": [9.9, 9.9, 9.9, 9.9, 20.6, 20.6, 20.6, 20.6, 20.6, 48.5, 48.5, 48.5, 48.5, 48.5], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -1.53492 * Buy.from.shopkeeper.with.AIDS.M + 86.4481<br>R<sup>2</sup>=0.100776<br><br>Cluster=1<br>Country=Ghana<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"lines\", \"name\": \"1, Ghana\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [35.9, 35.9, 35.9, 35.9, 35.9, 35.9, 35.9, 35.9, 35.9, 42.9, 42.9, 42.9, 42.9, 42.9], \"xaxis\": \"x\", \"y\": [31.34444444444442, 31.34444444444442, 31.34444444444442, 31.34444444444442, 31.34444444444442, 31.34444444444442, 31.34444444444442, 31.34444444444442, 31.34444444444442, 20.599999999999966, 20.599999999999966, 20.599999999999966, 20.599999999999966, 20.599999999999966], \"yaxis\": \"y\"}, {\"customdata\": [[\"Nigeria\", 2003], [\"Nigeria\", 2003], [\"Nigeria\", 2003], [\"Nigeria\", 2003], [\"Nigeria\", 2008], [\"Nigeria\", 2008], [\"Nigeria\", 2008], [\"Nigeria\", 2008], [\"Nigeria\", 2008], [\"Nigeria\", 2013], [\"Nigeria\", 2013], [\"Nigeria\", 2013], [\"Nigeria\", 2013], [\"Nigeria\", 2013], [\"Nigeria\", 2018]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"square\"}, \"mode\": \"markers+text\", \"name\": \"1, Nigeria\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\", \"Nigeria\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [68.9, 68.9, 68.9, 68.9, 48.4, 48.4, 48.4, 48.4, 48.4, 54.0, 54.0, 54.0, 54.0, 54.0, 48.8], \"xaxis\": \"x\", \"y\": [7.1, 7.1, 7.1, 7.1, 16.9, 16.9, 16.9, 16.9, 16.9, 30.0, 30.0, 30.0, 30.0, 30.0, 40.71500000000001], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -0.776388 * Buy.from.shopkeeper.with.AIDS.M + 63.5324<br>R<sup>2</sup>=0.376446<br><br>Cluster=1<br>Country=Nigeria<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"square\"}, \"mode\": \"lines\", \"name\": \"1, Nigeria\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [48.4, 48.4, 48.4, 48.4, 48.4, 48.8, 54.0, 54.0, 54.0, 54.0, 54.0, 68.9, 68.9, 68.9, 68.9], \"xaxis\": \"x\", \"y\": [25.955213688883347, 25.955213688883347, 25.955213688883347, 25.955213688883347, 25.955213688883347, 25.64465859709621, 21.607442403863416, 21.607442403863416, 21.607442403863416, 21.607442403863416, 21.607442403863416, 10.03926523479251, 10.03926523479251, 10.03926523479251, 10.03926523479251], \"yaxis\": \"y\"}, {\"customdata\": [[\"Congo\", 2005], [\"Congo\", 2005], [\"Congo\", 2005], [\"Congo\", 2005], [\"Congo\", 2005], [\"Congo\", 2011], [\"Congo\", 2011], [\"Congo\", 2011], [\"Congo\", 2011], [\"Congo\", 2011]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"markers+text\", \"name\": \"1, Congo\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Congo\", \"Congo\", \"Congo\", \"Congo\", \"Congo\", \"Congo\", \"Congo\", \"Congo\", \"Congo\", \"Congo\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [64.9, 64.9, 64.9, 64.9, 64.9, 67.0, 67.0, 67.0, 67.0, 67.0], \"xaxis\": \"x\", \"y\": [10.3, 10.3, 10.3, 10.3, 10.3, 38.1, 38.1, 38.1, 38.1, 38.1], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 13.2381 * Buy.from.shopkeeper.with.AIDS.M + -848.852<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Congo<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"lines\", \"name\": \"1, Congo\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [64.9, 64.9, 64.9, 64.9, 64.9, 67.0, 67.0, 67.0, 67.0, 67.0], \"xaxis\": \"x\", \"y\": [10.300000000000182, 10.300000000000182, 10.300000000000182, 10.300000000000182, 10.300000000000182, 38.10000000000002, 38.10000000000002, 38.10000000000002, 38.10000000000002, 38.10000000000002], \"yaxis\": \"y\"}, {\"customdata\": [[\"Congo Democratic Republic\", 2007], [\"Congo Democratic Republic\", 2007], [\"Congo Democratic Republic\", 2007], [\"Congo Democratic Republic\", 2007], [\"Congo Democratic Republic\", 2007], [\"Congo Democratic Republic\", 2013], [\"Congo Democratic Republic\", 2013], [\"Congo Democratic Republic\", 2013], [\"Congo Democratic Republic\", 2013], [\"Congo Democratic Republic\", 2013]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"circle\"}, \"mode\": \"markers+text\", \"name\": \"1, Congo Democratic Republic\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\", \"Congo Democratic Republic\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [50.2, 50.2, 50.2, 50.2, 50.2, 56.7, 56.7, 56.7, 56.7, 56.7], \"xaxis\": \"x\", \"y\": [9.9, 9.9, 9.9, 9.9, 9.9, 22.1, 22.1, 22.1, 22.1, 22.1], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 1.87692 * Buy.from.shopkeeper.with.AIDS.M + -84.3215<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Congo Democratic Republic<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"circle\"}, \"mode\": \"lines\", \"name\": \"1, Congo Democratic Republic\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [50.2, 50.2, 50.2, 50.2, 50.2, 56.7, 56.7, 56.7, 56.7, 56.7], \"xaxis\": \"x\", \"y\": [9.900000000000006, 9.900000000000006, 9.900000000000006, 9.900000000000006, 9.900000000000006, 22.10000000000001, 22.10000000000001, 22.10000000000001, 22.10000000000001, 22.10000000000001], \"yaxis\": \"y\"}, {\"customdata\": [[\"Liberia\", 2007], [\"Liberia\", 2007], [\"Liberia\", 2007], [\"Liberia\", 2007], [\"Liberia\", 2007], [\"Liberia\", 2013], [\"Liberia\", 2013], [\"Liberia\", 2013], [\"Liberia\", 2013], [\"Liberia\", 2013]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"markers+text\", \"name\": \"1, Liberia\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Liberia\", \"Liberia\", \"Liberia\", \"Liberia\", \"Liberia\", \"Liberia\", \"Liberia\", \"Liberia\", \"Liberia\", \"Liberia\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [54.5, 54.5, 54.5, 54.5, 54.5, 49.5, 49.5, 49.5, 49.5, 49.5], \"xaxis\": \"x\", \"y\": [4.0, 4.0, 4.0, 4.0, 4.0, 50.8, 50.8, 50.8, 50.8, 50.8], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = -9.36 * Buy.from.shopkeeper.with.AIDS.M + 514.12<br>R<sup>2</sup>=1.000000<br><br>Cluster=1<br>Country=Liberia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"lines\", \"name\": \"1, Liberia\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [49.5, 49.5, 49.5, 49.5, 49.5, 54.5, 54.5, 54.5, 54.5, 54.5], \"xaxis\": \"x\", \"y\": [50.79999999999984, 50.79999999999984, 50.79999999999984, 50.79999999999984, 50.79999999999984, 3.999999999999943, 3.999999999999943, 3.999999999999943, 3.999999999999943, 3.999999999999943], \"yaxis\": \"y\"}, {\"customdata\": [[\"Cote d'Ivoire\", 2011], [\"Cote d'Ivoire\", 2011], [\"Cote d'Ivoire\", 2011], [\"Cote d'Ivoire\", 2011], [\"Cote d'Ivoire\", 2011]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"cross\"}, \"mode\": \"markers+text\", \"name\": \"1, Cote d'Ivoire\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Cote d'Ivoire\", \"Cote d'Ivoire\", \"Cote d'Ivoire\", \"Cote d'Ivoire\", \"Cote d'Ivoire\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [55.5, 55.5, 55.5, 55.5, 55.5], \"xaxis\": \"x\", \"y\": [37.8, 37.8, 37.8, 37.8, 37.8], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.681081<br>R<sup>2</sup>=nan<br><br>Cluster=1<br>Country=Cote d'Ivoire<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"cross\"}, \"mode\": \"lines\", \"name\": \"1, Cote d'Ivoire\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [55.5, 55.5, 55.5, 55.5, 55.5], \"xaxis\": \"x\", \"y\": [37.8, 37.8, 37.8, 37.8, 37.8], \"yaxis\": \"y\"}, {\"customdata\": [[\"Togo\", 2013], [\"Togo\", 2013], [\"Togo\", 2013], [\"Togo\", 2013], [\"Togo\", 2013]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"markers+text\", \"name\": \"1, Togo\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Togo\", \"Togo\", \"Togo\", \"Togo\", \"Togo\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [57.5, 57.5, 57.5, 57.5, 57.5], \"xaxis\": \"x\", \"y\": [50.1, 50.1, 50.1, 50.1, 50.1], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.871304<br>R<sup>2</sup>=-inf<br><br>Cluster=1<br>Country=Togo<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"diamond\"}, \"mode\": \"lines\", \"name\": \"1, Togo\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [57.5, 57.5, 57.5, 57.5, 57.5], \"xaxis\": \"x\", \"y\": [50.09999999999999, 50.09999999999999, 50.09999999999999, 50.09999999999999, 50.09999999999999], \"yaxis\": \"y\"}, {\"customdata\": [[\"Angola\", 2015], [\"Angola\", 2015], [\"Angola\", 2015], [\"Angola\", 2015]], \"hovertemplate\": \"Cluster=1<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"square\"}, \"mode\": \"markers+text\", \"name\": \"1, Angola\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Angola\", \"Angola\", \"Angola\", \"Angola\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [65.4, 65.4, 65.4, 65.4], \"xaxis\": \"x\", \"y\": [48.7, 48.7, 48.7, 48.7], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.744648<br>R<sup>2</sup>=nan<br><br>Cluster=1<br>Country=Angola<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"1\", \"marker\": {\"color\": \"#2a6b28\", \"symbol\": \"square\"}, \"mode\": \"lines\", \"name\": \"1, Angola\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [65.4, 65.4, 65.4, 65.4], \"xaxis\": \"x\", \"y\": [48.7, 48.7, 48.7, 48.7], \"yaxis\": \"y\"}, {\"customdata\": [[\"Burkina Faso\", 2003], [\"Burkina Faso\", 2003], [\"Burkina Faso\", 2003], [\"Burkina Faso\", 2003], [\"Burkina Faso\", 2010], [\"Burkina Faso\", 2010], [\"Burkina Faso\", 2010], [\"Burkina Faso\", 2010], [\"Burkina Faso\", 2010]], \"hovertemplate\": \"Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"diamond\"}, \"mode\": \"markers+text\", \"name\": \"2, Burkina Faso\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Burkina Faso\", \"Burkina Faso\", \"Burkina Faso\", \"Burkina Faso\", \"Burkina Faso\", \"Burkina Faso\", \"Burkina Faso\", \"Burkina Faso\", \"Burkina Faso\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [36.90499999999998, 36.90499999999998, 36.90499999999998, 36.90499999999998, 42.9, 42.9, 42.9, 42.9, 42.9], \"xaxis\": \"x\", \"y\": [7.409000000000004, 7.409000000000004, 7.409000000000004, 7.409000000000004, 30.4, 30.4, 30.4, 30.4, 30.4], \"yaxis\": \"y\"}, {\"hovertemplate\": 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[\"Chad\", 2014], [\"Chad\", 2014]], \"hovertemplate\": \"Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"x\"}, \"mode\": \"markers+text\", \"name\": \"2, Chad\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Chad\", \"Chad\", \"Chad\", \"Chad\", \"Chad\", \"Chad\", \"Chad\", \"Chad\", \"Chad\", \"Chad\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [18.3, 18.3, 18.3, 18.3, 18.3, 52.5, 52.5, 52.5, 52.5, 52.5], \"xaxis\": \"x\", \"y\": [2.1, 2.1, 2.1, 2.1, 2.1, 17.3, 17.3, 17.3, 17.3, 17.3], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.444444 * Buy.from.shopkeeper.with.AIDS.M + -6.03333<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Chad<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} 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\"2, Ethiopia\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\", \"Ethiopia\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [35.93999999999999, 26.1, 26.1, 26.1, 26.1, 26.1], \"xaxis\": \"x\", \"y\": [5.858000000000008, 2.1, 2.1, 2.1, 2.1, 2.1], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.381911 * Buy.from.shopkeeper.with.AIDS.M + -7.86787<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Ethiopia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"cross\"}, \"mode\": \"lines\", \"name\": \"2, Ethiopia\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [26.1, 26.1, 26.1, 26.1, 26.1, 35.93999999999999], \"xaxis\": \"x\", \"y\": [2.099999999999995, 2.099999999999995, 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2.1, 2.1, 24.0, 24.0, 24.0, 24.0, 24.0], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 18.25 * Buy.from.shopkeeper.with.AIDS.M + -567.3<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Niger<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"cross\"}, \"mode\": \"lines\", \"name\": \"2, Niger\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [31.2, 31.2, 31.2, 31.2, 31.2, 32.4, 32.4, 32.4, 32.4, 32.4], \"xaxis\": \"x\", \"y\": [2.1000000000000227, 2.1000000000000227, 2.1000000000000227, 2.1000000000000227, 2.1000000000000227, 24.0, 24.0, 24.0, 24.0, 24.0], \"yaxis\": \"y\"}, {\"customdata\": [[\"Sierra Leone\", 2008], [\"Sierra Leone\", 2008], [\"Sierra Leone\", 2008], [\"Sierra Leone\", 2008], [\"Sierra Leone\", 2008], [\"Sierra Leone\", 2013], [\"Sierra Leone\", 2013], [\"Sierra Leone\", 2013], [\"Sierra Leone\", 2013], [\"Sierra Leone\", 2013]], \"hovertemplate\": \"Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"square\"}, \"mode\": \"markers+text\", \"name\": \"2, Sierra Leone\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\", \"Sierra Leone\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [40.3, 40.3, 40.3, 40.3, 40.3, 43.1, 43.1, 43.1, 43.1, 43.1], \"xaxis\": \"x\", \"y\": [12.7, 12.7, 12.7, 12.7, 12.7, 49.9, 49.9, 49.9, 49.9, 49.9], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 13.2857 * Buy.from.shopkeeper.with.AIDS.M + -522.714<br>R<sup>2</sup>=1.000000<br><br>Cluster=2<br>Country=Sierra Leone<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"square\"}, \"mode\": \"lines\", \"name\": \"2, Sierra Leone\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [40.3, 40.3, 40.3, 40.3, 40.3, 43.1, 43.1, 43.1, 43.1, 43.1], \"xaxis\": \"x\", \"y\": [12.699999999999818, 12.699999999999818, 12.699999999999818, 12.699999999999818, 12.699999999999818, 49.89999999999975, 49.89999999999975, 49.89999999999975, 49.89999999999975, 49.89999999999975], \"yaxis\": \"y\"}, {\"customdata\": [[\"Gambia\", 2013], [\"Gambia\", 2013], [\"Gambia\", 2013], [\"Gambia\", 2013], [\"Gambia\", 2013]], \"hovertemplate\": \"Cluster=2<br>Country=%{customdata[0]}<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y}<br>Survey=%{customdata[1]}<extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"circle\"}, \"mode\": \"markers+text\", \"name\": \"2, Gambia\", \"orientation\": \"v\", \"showlegend\": true, \"text\": [\"Gambia\", \"Gambia\", \"Gambia\", \"Gambia\", \"Gambia\"], \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [53.0, 53.0, 53.0, 53.0, 53.0], \"xaxis\": \"x\", \"y\": [42.8, 42.8, 42.8, 42.8, 42.8], \"yaxis\": \"y\"}, {\"hovertemplate\": \"<b>OLS trendline</b><br>Ever.receiving.HIV.test.W = 0.807547<br>R<sup>2</sup>=-inf<br><br>Cluster=2<br>Country=Gambia<br>Buy.from.shopkeeper.with.AIDS.M=%{x}<br>Ever.receiving.HIV.test.W=%{y} <b>(trend)</b><extra></extra>\", \"legendgroup\": \"2\", \"marker\": {\"color\": \"#4f5a90\", \"symbol\": \"circle\"}, \"mode\": \"lines\", \"name\": \"2, Gambia\", \"showlegend\": false, \"textposition\": \"top center\", \"type\": \"scatter\", \"x\": [53.0, 53.0, 53.0, 53.0, 53.0], \"xaxis\": \"x\", \"y\": [42.79999999999999, 42.79999999999999, 42.79999999999999, 42.79999999999999, 42.79999999999999], \"yaxis\": \"y\"}], {\"height\": 800, \"legend\": {\"title\": {\"text\": \"Cluster, Country\"}, \"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": 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\"Ever.receiving.HIV.test.W\"}}}, {\"responsive\": true} ).then(function(){\n",
" \n",
- "var gd = document.getElementById('982a4a67-4bb3-4cbf-a69a-2c571a43ca7b');\n",
+ "var gd = document.getElementById('1e0453c3-0055-440b-8513-24cbc5babfdb');\n",
"var x = new MutationObserver(function (mutations, observer) {{\n",
" var display = window.getComputedStyle(gd).display;\n",
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@@ -36863,566 +47630,6 @@
"fig.show()"
]
},
- {
- "cell_type": "markdown",
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "source": [
- "#### iv. Multiple linear regression of those indicators against HIV.incidence"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "source": [
- "##### Cluster 0"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "indicators = df.columns[:-3]\n",
- "indic=[]\n",
- "p_value = 0.1\n",
- "cluster = 0\n",
- "for indicator in indicators:\n",
- " data1 = final_data_G[(final_data_G.Cluster==cluster) & (final_data_G.gy == 2002)][indicator]\n",
- " data2 = final_data_G[(final_data_G.Cluster==cluster) & (final_data_G.gy == 2016)][indicator]\n",
- " result = ks_2samp(data1, data2)\n",
- " if result[1] < p_value:\n",
- " indic=np.append(indic,indicator)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "indic = ['Men.circumcised','Knowledge.about.AIDS.W','Knowledge.about.AIDS.M','Buy.from.shopkeeper.with.AIDS.W','Buy.from.shopkeeper.with.AIDS.W','Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','rural']\n",
- "#indic = ['Use.of.contraception', 'Wife.beating.justified.W','Wife.beating.justified.M', 'Number.of.co.wives.0','Number.of.co.wives.2', 'Knowledge.about.AIDS.W','Knowledge.about.AIDS.M', 'Buy.from.shopkeeper.with.AIDS.W','Buy.from.shopkeeper.with.AIDS.M','Justified.condom.if.husband.has.STI.M','Ever.receiving.HIV.test.W', 'Ever.receiving.HIV.test.M','Married.women.participating.in.decisions', 'Men.who.work', 'ART','Folk.Religion', 'Other.Religion']\n",
- "#indic\n",
- "indic = ['Knowledge.about.AIDS.W','Buy.from.shopkeeper.with.AIDS.W','Ever.receiving.HIV.test.M']\n",
- "#indic=['Married.or.in.union.W','Married.or.in.union.M','Knowledge.about.AIDS.W','Knowledge.about.AIDS.M','Buy.from.shopkeeper.with.AIDS.W',\n",
- "## 'Buy.from.shopkeeper.with.AIDS.M','Justified.condom.if.husband.has.STI.W','Justified.condom.if.husband.has.STI.M','Ever.receiving.HIV.test.W',\n",
- " # 'Ever.receiving.HIV.test.M','Men.circumcised','Married.women.participating.in.decisions','Married.women.who.disagree.with.wife.beating',\n",
- " # 'Literate.W','Literate.M']\n",
- "indic"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "final_data_sy.loc[['Benin']].drop_duplicates('HIV.incidence')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "addHIV2(XXX, 'incidence').values"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "cluster = '1'\n",
- "\n",
- "country = 'Benin'\n",
- "\n",
- "#indic = ['Knowledge.about.AIDS.W','Knowledge.about.AIDS.M']\n",
- "indic = ['PC-1', 'PC-2']\n",
- "for country in XX[XX.Cluster==cluster].index.get_level_values('Country').unique():\n",
- "#XXX = XX.loc[[country]][indic]\n",
- " XXX = final_data_sy.loc[[country]].drop_duplicates('HIV.incidence')[indic]\n",
- " yyy = addHIV2(XXX, 'incidence').values\n",
- " \n",
- " # XXX = sm.add_constant(XXX)\n",
- " \n",
- " model11 = sm.OLS(yyy, XXX).fit()\n",
- " print(country)\n",
- " print(model11.summary())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "#import statsmodels.api as sm\n",
- "cluster='0'\n",
- "\n",
- "final_data_sy['Cluster']=final_data_sy['Cluster'].astype(str)\n",
- "\n",
- "# List indicators that have moved between 2002 and 2016 and for which clusters:\n",
- "# Set limit of p-value to list indicator:\n",
- "\n",
- "XXX = XX[XX.Cluster == cluster][indic]\n",
- "\n",
- "#XXX = final_data_sy[final_data_sy.Cluster==cluster][['PC-1','PC-2']]\n",
- "\n",
- "yyy = addHIV2(XXX, 'incidence').values\n",
- "\n",
- "XXX = sm.add_constant(XXX)\n",
- "\n",
- "model11 = sm.OLS(yyy, XXX).fit()\n",
- "model11.summary()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "source": [
- "##### Cluster 1"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "indicators = df.columns[:-3]\n",
- "indic=[]\n",
- "p_value = 0.1\n",
- "cluster = 1\n",
- "for indicator in indicators:\n",
- " data1 = final_data_G[(final_data_G.Cluster==cluster) & (final_data_G.gy == 2002)][indicator]\n",
- " data2 = final_data_G[(final_data_G.Cluster==cluster) & (final_data_G.gy == 2016)][indicator]\n",
- " result = ks_2samp(data1, data2)\n",
- " if result[1] < p_value:\n",
- " indic=np.append(indic,indicator)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "#indic = ['Knowledge.about.AIDS.M','Buy.from.shopkeeper.with.AIDS.W','Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','rural']\n",
- "#indic\n",
- "\n",
- "indic=['Married.or.in.union.W','Married.or.in.union.M','Knowledge.about.AIDS.W','Knowledge.about.AIDS.M','Buy.from.shopkeeper.with.AIDS.W',\n",
- " 'Buy.from.shopkeeper.with.AIDS.M','Justified.condom.if.husband.has.STI.W','Justified.condom.if.husband.has.STI.M','Ever.receiving.HIV.test.W',\n",
- " 'Ever.receiving.HIV.test.M','Men.circumcised','Married.women.participating.in.decisions','Married.women.who.disagree.with.wife.beating',\n",
- " 'Literate.W','Literate.M']\n",
- "indic"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "XX.reset_index()[(XX.reset_index().Cluster == cluster) & (XX.reset_index().Country != 'Mozambique')].set_index(['Country','Survey'])[indic]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "addHIV2(XXX, 'incidence').values"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "outputs": [],
- "source": [
- "#import statsmodels.api as sm\n",
- "cluster='1'\n",
- "\n",
- "final_data_sy['Cluster']=final_data_sy['Cluster'].astype(str)\n",
- "\n",
- "# List indicators that have moved between 2002 and 2016 and for which clusters:\n",
- "# Set limit of p-value to list indicator:\n",
- "\n",
- "#XXX = XX[XX.Cluster == cluster][indic]\n",
- "XXX = XX.reset_index()[(XX.reset_index().Cluster == cluster) & (XX.reset_index().Country != 'Mozambique')].set_index(['Country','Survey'])[indic]\n",
- "\n",
- "#XXX = final_data_sy[final_data_sy.Cluster==cluster][['PC-1','PC-2']]\n",
- "\n",
- "yyy = addHIV2(XXX, 'incidence').values\n",
- "\n",
- "XXX = sm.add_constant(XXX)\n",
- "\n",
- "model11 = sm.OLS(yyy, XXX).fit()\n",
- "model11.summary()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
- "views": {
- "grid_default": {
- "col": null,
- "height": 2,
- "hidden": true,
- "row": null,
- "width": 2
- }
- }
- }
- }
- },
- "source": [
- "##### Cluster 2"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "extensions": {
- "jupyter_dashboards": {
- "activeView": "grid_default",
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- }
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- "outputs": [],
- "source": [
- "indicators = df.columns[:-3]\n",
- "indic=[]\n",
- "p_value = 0.1\n",
- "cluster = 2\n",
- "for indicator in indicators:\n",
- " data1 = final_data_G[(final_data_G.Cluster==cluster) & (final_data_G.gy == 2002)][indicator]\n",
- " data2 = final_data_G[(final_data_G.Cluster==cluster) & (final_data_G.gy == 2016)][indicator]\n",
- " result = ks_2samp(data1, data2)\n",
- " if result[1] < p_value:\n",
- " indic=np.append(indic,indicator)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
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- "outputs": [],
- "source": [
- "indic=['Married.or.in.union.W','Married.or.in.union.M','Knowledge.about.AIDS.W','Knowledge.about.AIDS.M','Buy.from.shopkeeper.with.AIDS.W',\n",
- " 'Buy.from.shopkeeper.with.AIDS.M','Justified.condom.if.husband.has.STI.W','Justified.condom.if.husband.has.STI.M','Ever.receiving.HIV.test.W',\n",
- " 'Ever.receiving.HIV.test.M','Men.circumcised','Married.women.participating.in.decisions','Married.women.who.disagree.with.wife.beating',\n",
- " 'Literate.W','Literate.M']\n",
- "indic=['Number.of.co.wives.0','Number.of.co.wives.2','Ever.receiving.HIV.test.W','Ever.receiving.HIV.test.M','Literate.W','Literate.M','Access.to.media.M','ART']\n",
- "indic"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
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- "outputs": [],
- "source": [
- "#import statsmodels.api as sm\n",
- "cluster='2'\n",
- "\n",
- "final_data_sy['Cluster']=final_data_sy['Cluster'].astype(str)\n",
- "\n",
- "# List indicators that have moved between 2002 and 2016 and for which clusters:\n",
- "# Set limit of p-value to list indicator:\n",
- "#indic=indic[2:-1]\n",
- "XXX = XX[XX.Cluster == cluster][indic]\n",
- "\n",
- "#XXX = final_data_sy[final_data_sy.Cluster==cluster][['PC-1','PC-2']]\n",
- "\n",
- "yyy = addHIV2(XXX, 'incidence').values\n",
- "\n",
- "#XXX = sm.add_constant(XXX)\n",
- "\n",
- "model11 = sm.OLS(yyy, XXX).fit()\n",
- "model11.summary()"
- ]
- },
{
"cell_type": "code",
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