diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 2de40d4cf..6272b393d 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -61,7 +61,7 @@ jobs:
         run: pip install ./
 
       - name: Run local tests
-        run: nbdev_test --skip_file_re '(models|distributed|ets).*.ipynb' --pause 1.0
+        run: nbdev_test --skip_file_re '(models|distributed|ets).*.ipynb' --pause 1.0 --do_print --timing
 
   run-tests:
     runs-on: ${{ matrix.os }}
@@ -86,7 +86,7 @@ jobs:
         run: pip install ./
 
       - name: Run tests 
-        run: nbdev_test --skip_file_re '(distributed).*.ipynb' --pause 1.0
+        run: nbdev_test --skip_file_re '(distributed).*.ipynb' --pause 1.0 --do_print --timing
 
       - name: Run integration tests
         run: |
diff --git a/nbs/docs/getting-started/.notest b/nbs/docs/getting-started/.notest
deleted file mode 100644
index e69de29bb..000000000
diff --git a/nbs/docs/getting-started/0_Installation.ipynb b/nbs/docs/getting-started/0_Installation.ipynb
index a58dedf2c..62172ac14 100644
--- a/nbs/docs/getting-started/0_Installation.ipynb
+++ b/nbs/docs/getting-started/0_Installation.ipynb
@@ -58,6 +58,29 @@
     "$ conda activate statsforecast\n",
     "```"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "58909f00-5456-4398-80d6-72f8afbdd0e1",
+   "metadata": {},
+   "source": [
+    "## Extras"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "id": "ecb9b7ac-36a3-48f9-a847-0fcba777d921",
+   "metadata": {},
+   "source": [
+    "The following features can also be installed by specifying the extra inside the install command, e.g. `pip install 'statsforecast[extra1,extra2]'`\n",
+    "\n",
+    "* **polars**: provide polars dataframes to StatsForecast.\n",
+    "* **plotly**: use `StatsForecast.plot` with the plotly backend.\n",
+    "* **dask**: perform distributed forecasting with dask.\n",
+    "* **spark**: perform distributed forecasting with spark.\n",
+    "* **ray**: perform distributed forecasting with ray."
+   ]
   }
  ],
  "metadata": {
diff --git a/nbs/docs/getting-started/1_Getting_Started_short.ipynb b/nbs/docs/getting-started/1_Getting_Started_short.ipynb
index cad221489..93156b18a 100644
--- a/nbs/docs/getting-started/1_Getting_Started_short.ipynb
+++ b/nbs/docs/getting-started/1_Getting_Started_short.ipynb
@@ -43,8 +43,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "#| hide\n",
-    "# ! pip install statsforecast"
+    "# uncomment the following line to install the library\n",
+    "# %pip install statsforecast"
    ]
   },
   {
@@ -53,9 +53,22 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import os\n",
+    "\n",
     "import pandas as pd"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# this makes it so that the outputs of the predict methods have the id as a column \n",
+    "# instead of as the index\n",
+    "os.environ['NIXTLA_ID_AS_COL'] = '1'"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -123,12 +136,12 @@
        "</div>"
       ],
       "text/plain": [
-       "       unique_id          ds    y\n",
-       "0  AirPassengers  1949-01-01  112\n",
-       "1  AirPassengers  1949-02-01  118\n",
-       "2  AirPassengers  1949-03-01  132\n",
-       "3  AirPassengers  1949-04-01  129\n",
-       "4  AirPassengers  1949-05-01  121"
+       "       unique_id         ds    y\n",
+       "0  AirPassengers 1949-01-01  112\n",
+       "1  AirPassengers 1949-02-01  118\n",
+       "2  AirPassengers 1949-03-01  132\n",
+       "3  AirPassengers 1949-04-01  129\n",
+       "4  AirPassengers 1949-05-01  121"
       ]
      },
      "execution_count": null,
@@ -137,7 +150,7 @@
     }
    ],
    "source": [
-    "df = pd.read_csv('https://datasets-nixtla.s3.amazonaws.com/air-passengers.csv')\n",
+    "df = pd.read_csv('https://datasets-nixtla.s3.amazonaws.com/air-passengers.csv', parse_dates=['ds'])\n",
     "df.head()"
    ]
   },
@@ -163,19 +176,28 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "StatsForecast(models=[AutoARIMA])"
+      ]
+     },
+     "execution_count": null,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "%%capture\n",
     "from statsforecast import StatsForecast\n",
     "from statsforecast.models import AutoARIMA\n",
     "\n",
     "sf = StatsForecast(\n",
-    "    models = [AutoARIMA(season_length = 12)],\n",
-    "    freq = 'M'\n",
+    "    models=[AutoARIMA(season_length = 12)],\n",
+    "    freq='M',\n",
     ")\n",
     "\n",
-    "sf.fit(df)\n",
-    "\n"
+    "sf.fit(df)"
    ]
   },
   {
@@ -218,50 +240,49 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th>unique_id</th>\n",
        "      <th>ds</th>\n",
        "      <th>AutoARIMA</th>\n",
        "      <th>AutoARIMA-lo-90</th>\n",
        "      <th>AutoARIMA-hi-90</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>unique_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>AirPassengers</th>\n",
+       "      <th>7</th>\n",
+       "      <td>AirPassengers</td>\n",
        "      <td>1961-07-31</td>\n",
        "      <td>633.230774</td>\n",
        "      <td>589.562378</td>\n",
        "      <td>676.899170</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>AirPassengers</th>\n",
+       "      <th>8</th>\n",
+       "      <td>AirPassengers</td>\n",
        "      <td>1961-08-31</td>\n",
        "      <td>535.230774</td>\n",
        "      <td>489.082153</td>\n",
        "      <td>581.379456</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>AirPassengers</th>\n",
+       "      <th>9</th>\n",
+       "      <td>AirPassengers</td>\n",
        "      <td>1961-09-30</td>\n",
        "      <td>488.230804</td>\n",
        "      <td>439.728699</td>\n",
        "      <td>536.732910</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>AirPassengers</th>\n",
+       "      <th>10</th>\n",
+       "      <td>AirPassengers</td>\n",
        "      <td>1961-10-31</td>\n",
        "      <td>417.230804</td>\n",
        "      <td>366.484253</td>\n",
        "      <td>467.977356</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>AirPassengers</th>\n",
+       "      <th>11</th>\n",
+       "      <td>AirPassengers</td>\n",
        "      <td>1961-11-30</td>\n",
        "      <td>459.230804</td>\n",
        "      <td>406.334930</td>\n",
@@ -272,13 +293,12 @@
        "</div>"
       ],
       "text/plain": [
-       "                      ds   AutoARIMA  AutoARIMA-lo-90  AutoARIMA-hi-90\n",
-       "unique_id                                                             \n",
-       "AirPassengers 1961-07-31  633.230774       589.562378       676.899170\n",
-       "AirPassengers 1961-08-31  535.230774       489.082153       581.379456\n",
-       "AirPassengers 1961-09-30  488.230804       439.728699       536.732910\n",
-       "AirPassengers 1961-10-31  417.230804       366.484253       467.977356\n",
-       "AirPassengers 1961-11-30  459.230804       406.334930       512.126648"
+       "        unique_id         ds   AutoARIMA  AutoARIMA-lo-90  AutoARIMA-hi-90\n",
+       "7   AirPassengers 1961-07-31  633.230774       589.562378       676.899170\n",
+       "8   AirPassengers 1961-08-31  535.230774       489.082153       581.379456\n",
+       "9   AirPassengers 1961-09-30  488.230804       439.728699       536.732910\n",
+       "10  AirPassengers 1961-10-31  417.230804       366.484253       467.977356\n",
+       "11  AirPassengers 1961-11-30  459.230804       406.334930       512.126648"
       ]
      },
      "execution_count": null,
@@ -287,8 +307,7 @@
     }
    ],
    "source": [
-    "forecast_df = sf.predict(h=12, level=[90]) \n",
-    "\n",
+    "forecast_df = sf.predict(h=12, level=[90])\n",
     "forecast_df.tail()"
    ]
   },
@@ -307,2280 +326,18 @@
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "        <script type=\"text/javascript\">\n",
-       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
-       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v2.25.2\n",
-       "* Copyright 2012-2023, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
-       "*/\n",
-       "/*! For license information please see plotly.min.js.LICENSE.txt */\n",
-       "!function(t,e){\"object\"==typeof exports&&\"object\"==typeof module?module.exports=e():\"function\"==typeof define&&define.amd?define([],e):\"object\"==typeof exports?exports.Plotly=e():t.Plotly=e()}(self,(function(){return function(){var t={98847:function(t,e,r){\"use strict\";var n=r(71828),i={\"X,X div\":'direction:ltr;font-family:\"Open Sans\",verdana,arial,sans-serif;margin:0;padding:0;',\"X input,X button\":'font-family:\"Open Sans\",verdana,arial,sans-serif;',\"X input:focus,X button:focus\":\"outline:none;\",\"X a\":\"text-decoration:none;\",\"X a:hover\":\"text-decoration:none;\",\"X .crisp\":\"shape-rendering:crispEdges;\",\"X .user-select-none\":\"-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;user-select:none;\",\"X svg\":\"overflow:hidden;\",\"X svg a\":\"fill:#447adb;\",\"X svg a:hover\":\"fill:#3c6dc5;\",\"X .main-svg\":\"position:absolute;top:0;left:0;pointer-events:none;\",\"X .main-svg 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var 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strict\";t.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}},62499:function(t,e,r){\"use strict\";var n=r(71828),i=r(44467),a=r(26218),o=r(38701),s=r(96115),l=r(89426),u=r(63583);t.exports=function(t,e,r){var c=i.newContainer(e,\"colorbar\"),f=t.colorbar||{};function h(t,e){return n.coerce(f,c,u,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,v=r.height-p.t-p.b,g=\"v\"===h(\"orientation\"),y=h(\"thicknessmode\");h(\"thickness\",\"fraction\"===y?30/(g?d:v):30);var m=h(\"lenmode\");h(\"len\",\"fraction\"===m?1:g?v:d);var x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var M=r.font,S={outerTicks:!1,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(f,c,h,\"linear\",S),s(f,c,h,\"linear\",S),o(f,c,h,\"linear\",S),h(\"title.text\",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,\"title.font\",L),h(\"title.side\",g?\"top\":\"right\")}},98981:function(t,e,r){\"use strict\";var n=r(39898),i=r(84267),a=r(74875),o=r(73972),s=r(89298),l=r(28569),u=r(71828),c=u.strTranslate,f=r(1426).extendFlat,h=r(6964),p=r(91424),d=r(7901),v=r(92998),g=r(63893),y=r(52075).flipScale,m=r(71453),x=r(52830),b=r(13838),_=r(18783),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(30939).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,D=o?e.y:1-e.y,z=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,H=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),q=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},Z=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,H),W=Y.fill,X=Y.line,J=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),K=J/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*K:D-it*K,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=K,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,H);lt.position=K+(o?I+P/B.w:D+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=D+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ct=Z.size,ft=u.constrain($/50,4,15)+1,ht=(H[1]-H[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(W);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=H.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?H[0]:(W[a]+W[a-1])/2,a===W.length-1?H[1]:(W[a]+W[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(J,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?X:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+J).call(p.lineGroupStyle,j.width,q(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+J+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-J-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=J+M/2;-1===gt.indexOf(\"inside\")&&(n=p.bBox(mt.node()),s+=o?n.width:n.height),dt=vt.select(\"text\");var u=0,f=o&&\"top\"===V,v=!o&&\"right\"===V,g=0;if(dt.node()&&!dt.classed(A.jsPlaceholder)){var m,x=vt.select(\".h\"+lt._id+\"title-math-group\").node();x&&(o&&ut||!o&&!ut)?(u=(n=p.bBox(x)).width,m=n.height):(u=(n=p.bBox(vt.node())).right-B.l-(o?rt:st),m=n.bottom-B.t-(o?st:rt),o||\"top\"!==V||(s+=n.height,g=n.height)),v&&(dt.attr(\"transform\",c(u/2+yt/2,0)),u*=2),s=Math.max(s,o?u:m)}var b=2*(o?P:O)+s+S+M/2,w=0;!o&&U.text&&\"bottom\"===C&&D<=0&&(b+=w=b/2,g+=w),F._hColorbarMoveTitle=w,F._hColorbarMoveCBTitle=g;var N=S+M,j=(o?rt:st)-N/2-(o?P:0),H=(o?st:rt)-(o?$:O+g-w);t.select(\".\"+A.cbbg).attr(\"x\",j).attr(\"y\",H).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max($+N,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var q=v?Math.max(u-10,0):0;t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?rt:st+P)+q).attr(\"y\",(o?st+O-$:rt)+(f?xt:0)).attr(o?\"width\":\"height\",Math.max(J,2)).attr(o?\"height\":\"width\",Math.max($-(o?2*O+xt:2*P+q),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M});var G=o?nt*b:0,Z=o?0:(1-it)*b-g;if(G=R?B.l-G:-G,Z=z?B.t-Z:-Z,t.attr(\"transform\",c(G,Z)),!o&&(S||i(E).getAlpha()&&!i.equals(F.paper_bgcolor,E))){var Y=mt.selectAll(\"text\"),W=Y[0].length,X=t.select(\".\"+A.cbbg).node(),K=p.bBox(X),Q=p.getTranslate(t);Y.each((function(t,e){var r=W-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=K.right+Q.x+st-S-2+I-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=K.left+Q.x+st+S+2-s)<0&&(n=0)}n&&(W<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var 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h=v.width;a=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(a+=\"m-\"+h+\",0h\"+2*h),o.size()?c&&(o=o.transition().duration(s.duration).ease(s.easing)):o=e.append(\"path\").style(\"vector-effect\",f?\"none\":\"non-scaling-stroke\").classed(\"yerror\",!0),o.attr(\"d\",a)}else o.remove();var p=e.select(\"path.xerror\");if(d.visible&&i(r.y)&&i(r.xh)&&i(r.xs)){var y=(d.copy_ystyle?v:d).width;a=\"M\"+r.xh+\",\"+(r.y-y)+\"v\"+2*y+\"m0,-\"+y+\"H\"+r.xs,r.noXS||(a+=\"m0,-\"+y+\"v\"+2*y),p.size()?c&&(p=p.transition().duration(s.duration).ease(s.easing)):p=e.append(\"path\").style(\"vector-effect\",f?\"none\":\"non-scaling-stroke\").classed(\"xerror\",!0),p.attr(\"d\",a)}else p.remove()}}))}}))}},62662:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901);t.exports=function(t){t.each((function(t){var e=t[0].trace,r=e.error_y||{},a=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(i.stroke,r.color),a.copy_ystyle&&(a=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",a.thickness+\"px\").call(i.stroke,a.color)}))}},77914:function(t,e,r){\"use strict\";var n=r(41940),i=r(528).hoverlabel,a=r(1426).extendFlat;t.exports={hoverlabel:{bgcolor:a({},i.bgcolor,{arrayOk:!0}),bordercolor:a({},i.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:a({},i.align,{arrayOk:!0}),namelength:a({},i.namelength,{arrayOk:!0}),editType:\"none\"}}},30732:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972);function a(t,e,r,i){i=i||n.identity,Array.isArray(t)&&(e[0][r]=i(t))}t.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],u=l[0].trace;if(!i.traceIs(u,\"pie-like\")){var c=i.traceIs(u,\"2dMap\")?a:n.fillArray;c(u.hoverinfo,l,\"hi\",o(u)),u.hovertemplate&&c(u.hovertemplate,l,\"ht\"),u.hoverlabel&&(c(u.hoverlabel.bgcolor,l,\"hbg\"),c(u.hoverlabel.bordercolor,l,\"hbc\"),c(u.hoverlabel.font.size,l,\"hts\"),c(u.hoverlabel.font.color,l,\"htc\"),c(u.hoverlabel.font.family,l,\"htf\"),c(u.hoverlabel.namelength,l,\"hnl\"),c(u.hoverlabel.align,l,\"hta\"))}}}},75914:function(t,e,r){\"use strict\";var n=r(73972),i=r(88335).hover;t.exports=function(t,e,r){var a=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&i(t,e,r,!0),t._hoverdata&&e&&e.target&&(a&&a.then?a.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},26675:function(t){\"use strict\";t.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},54268:function(t,e,r){\"use strict\";var n=r(71828),i=r(77914),a=r(38048);t.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),a(t,e,(function(r,a){return n.coerce(t,e,i,r,a)}),s)}},23469:function(t,e,r){\"use strict\";var n=r(71828);e.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},e.isTraceInSubplots=function(t,r){if(\"splom\"===t.type){for(var n=t.xaxes||[],i=t.yaxes||[],a=0;a<n.length;a++)for(var o=0;o<i.length;o++)if(-1!==r.indexOf(n[a]+i[o]))return!0;return!1}return-1!==r.indexOf(e.getSubplot(t))},e.flat=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=e;return r},e.p2c=function(t,e){for(var r=new Array(t.length),n=0;n<t.length;n++)r[n]=t[n].p2c(e);return r},e.getDistanceFunction=function(t,r,n,i){return\"closest\"===t?i||e.quadrature(r,n):\"x\"===t.charAt(0)?r:n},e.getClosest=function(t,e,r){if(!1!==r.index)r.index>=0&&r.index<t.length?r.distance=0:r.index=!1;else for(var n=0;n<t.length;n++){var 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n=r(39898),i=r(92770),a=r(84267),o=r(71828),s=o.strTranslate,l=o.strRotate,u=r(11086),c=r(63893),f=r(39918),h=r(91424),p=r(7901),d=r(28569),v=r(89298),g=r(73972),y=r(23469),m=r(26675),x=r(99017),b=r(43969),_=m.YANGLE,w=Math.PI*_/180,T=1/Math.sin(w),k=Math.cos(w),A=Math.sin(w),M=m.HOVERARROWSIZE,S=m.HOVERTEXTPAD,E={box:!0,ohlc:!0,violin:!0,candlestick:!0},L={scatter:!0,scattergl:!0,splom:!0};function C(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa?t.xa._id:\"\",t.ya?t.ya._id:\"\"].join(\",\")}e.hover=function(t,e,r,a){t=o.getGraphDiv(t);var s=e.target;o.throttle(t._fullLayout._uid+m.HOVERID,m.HOVERMINTIME,(function(){!function(t,e,r,a,s){r||(r=\"xy\");var l=Array.isArray(r)?r:[r],c=t._fullLayout,h=c._plots||[],v=h[r],m=c._has(\"cartesian\");if(v){var x=v.overlays.map((function(t){return t.id}));l=l.concat(x)}for(var b=l.length,_=new Array(b),w=new Array(b),k=!1,A=0;A<b;A++){var S=l[A];if(h[S])k=!0,_[A]=h[S].xaxis,w[A]=h[S].yaxis;else{if(!c[S]||!c[S]._subplot)return void 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ct=o.apply3DTransform(c._invTransform)(st,lt);if(st=ct[0],lt=ct[1],st<0||st>_[0]._length||lt<0||lt>w[0]._length)return d.unhoverRaw(t,e)}else st=\"xpx\"in e?e.xpx:_[0]._length/2,lt=\"ypx\"in e?e.ypx:w[0]._length/2;if(e.pointerX=st+_[0]._offset,e.pointerY=lt+w[0]._offset,q=\"xval\"in e?y.flat(l,e.xval):y.p2c(_,st),G=\"yval\"in e?y.flat(l,e.yval):y.p2c(w,lt),!i(q[0])||!i(G[0]))return o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ft=1/0;function ht(t,r){for(Y=0;Y<it.length;Y++)if((W=it[Y])&&W[0]&&W[0].trace&&!0===(X=W[0].trace).visible&&0!==X._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(X._module.name)){if(\"splom\"===X.type?J=l[K=0]:(J=y.getSubplot(X),K=l.indexOf(J)),$=I,y.isUnifiedHover($)&&($=$.charAt(0)),et={cd:W,trace:X,xa:_[K],ya:w[K],maxHoverDistance:N,maxSpikeDistance:H,index:!1,distance:Math.min(ft,N),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:X.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 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data\"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=dt(v),(!at.vLinePoint||at.vLinePoint.spikeDistance>h.spikeDistance)&&(at.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function dt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ht();var vt={fullLayout:c,container:c._hoverlayer,event:e},gt=t._spikepoints,yt={vLinePoint:at.vLinePoint,hLinePoint:at.hLinePoint};t._spikepoints=yt;var mt=function(){nt.sort((function(t,e){return t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=(\"x\"===xt||\"y\"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==H&&0!==nt.length){var _t=pt(nt.filter((function(t){return t.ya.showspikes})),H,bt);at.hLinePoint=dt(_t);var wt=pt(nt.filter((function(t){return t.xa.showspikes})),H,bt);at.vLinePoint=dt(wt)}if(0===nt.length){var Tt=d.unhoverRaw(t,e);return!m||null===at.hLinePoint&&null===at.vLinePoint||B(gt)&&F(t,at,vt),Tt}if(m&&B(gt)&&F(t,at,vt),y.isXYhover($)&&0!==nt[0].length&&\"splom\"!==nt[0].trace.type){var kt=nt[0],At=(nt=E[kt.trace.type]?nt.filter((function(t){return t.trace.index===kt.trace.index})):[kt]).length;ht(j(\"x\",kt,c),j(\"y\",kt,c));var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<At;Mt++)Ct(nt[Mt]);for(Mt=nt.length-1;Mt>At-1;Mt--)Ct(nt[Mt]);nt=St,mt()}var Pt=t._hoverdata,Ot=[],It=U(t),Dt=V(t);for(Z=0;Z<nt.length;Z++){var zt=nt[Z],Rt=y.makeEventData(zt,zt.trace,zt.cd);if(!1!==zt.hovertemplate){var Ft=!1;zt.cd[zt.index]&&zt.cd[zt.index].ht&&(Ft=zt.cd[zt.index].ht),zt.hovertemplate=Ft||zt.trace.hovertemplate||!1}if(zt.xa&&zt.ya){var Bt=zt.x0+zt.xa._offset,Nt=zt.x1+zt.xa._offset,jt=zt.y0+zt.ya._offset,Ut=zt.y1+zt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+Dt,x1:Ht+Dt,y0:qt+It,y1:Gt+It}}zt.eventData=[Rt],Ot.push(Rt)}t._hoverdata=Ot;var 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r=n.select(this);if(this._imgSrc!==e.source)if(r.attr(\"xmlns\",s.svg),e.source&&\"data:\"===e.source.slice(0,5))r.attr(\"xlink:href\",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(\"crossOrigin\",\"anonymous\"),n.onerror=i,n.onload=function(){var e=document.createElement(\"canvas\");e.width=this.width,e.height=this.height,e.getContext(\"2d\",{willReadFrequently:!0}).drawImage(this,0,0);var n=e.toDataURL(\"image/png\");r.attr(\"xlink:href\",n),t()},r.on(\"error\",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function y(e){var r,o,s=n.select(this),u=a.getFromId(t,e.xref),c=a.getFromId(t,e.yref),f=\"domain\"===a.getRefType(e.xref),h=\"domain\"===a.getRefType(e.yref),p=l._size;r=void 0!==u?\"string\"==typeof e.xref&&f?u._length*e.sizex:Math.abs(u.l2p(e.sizex)-u.l2p(0)):e.sizex*p.w,o=void 0!==c?\"string\"==typeof 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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A=v._isShape;(v.showlegend||v._dfltShowLegend&&!(v._module&&v._module.attributes&&v._module.attributes.showlegend&&!1===v._module.attributes.showlegend.dflt))&&(x++,v.showlegend&&(b=!0,(!A&&n.traceIs(v,\"pie-like\")||!0===v._input.showlegend)&&x++),i.coerceFont(g,\"legendgrouptitle.font\",m)),(!A&&n.traceIs(v,\"bar\")&&\"stack\"===r.barmode||-1!==[\"tonextx\",\"tonexty\"].indexOf(v.fill))&&(_=u.isGrouped({traceorder:_})?\"grouped+reversed\":\"reversed\"),void 0!==v.legendgroup&&\"\"!==v.legendgroup&&(_=u.isReversed({traceorder:_})?\"reversed+grouped\":\"grouped\")}var M=i.coerce(e,r,l,\"showlegend\",b&&x>(\"legend\"===t?1:0));if(!1===M&&(r[t]=void 0),(!1!==M||f.uirevision)&&(p(\"uirevision\",r.uirevision),!1!==M)){p(\"borderwidth\");var S,E,L,C=\"h\"===p(\"orientation\"),P=\"paper\"===p(\"yref\"),O=\"paper\"===p(\"xref\"),I=\"left\";if(C?(S=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(e.xaxis)?P?(E=1.1,L=\"bottom\"):(E=1,L=\"top\"):P?(E=-.1,L=\"top\"):(E=0,L=\"bottom\")):(E=1,L=\"auto\",O?S=1.02:(S=1,I=\"right\")),i.coerce(f,h,{x:{valType:\"number\",editType:\"legend\",min:O?-2:0,max:O?3:1,dflt:S}},\"x\"),i.coerce(f,h,{y:{valType:\"number\",editType:\"legend\",min:P?-2:0,max:P?3:1,dflt:E}},\"y\"),p(\"traceorder\",_),u.isGrouped(r[t])&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"xanchor\",I),p(\"yanchor\",L),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",C?\"left\":\"top\");var D=i.extendFlat({},d,{size:i.bigFont(d.size)});i.coerceFont(p,\"title.font\",D)}}}}t.exports=function(t,e,r){var n,a=r.slice(),o=e.shapes;if(o)for(n=0;n<o.length;n++){var s=o[n];if(s.showlegend){var l={_input:s._input,visible:s.visible,showlegend:s.showlegend,legend:s.legend};a.push(l)}}var u=[\"legend\"];for(n=0;n<a.length;n++)i.pushUnique(u,a[n].legend);for(e._legends=[],n=0;n<u.length;n++){var f=u[n];c(f,t,e,a),e[f]&&e[f].visible&&(e[f]._id=f),e._legends.push(f)}}},43969:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(74875),o=r(73972),s=r(11086),l=r(28569),u=r(91424),c=r(7901),f=r(63893),h=r(85167),p=r(14928),d=r(18783),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(82424),x=r(53630),b=r(10130),_=1,w=/^legend[0-9]*$/;function T(t,e){var r,s,f=e||{},h=t._fullLayout,d=O(f),v=f._inHover;if(v?(s=f.layer,r=\"hover\"):(s=h._infolayer,r=d),s){var w;if(r+=h._uid,t._legendMouseDownTime||(t._legendMouseDownTime=0),v){if(!f.entries)return;w=m(f.entries,f)}else{for(var T=(t.calcdata||[]).slice(),S=h.shapes,I=0;I<S.length;I++){var D=S[I];if(D.showlegend){var z={_isShape:!0,_fullInput:D,index:D._index,name:D.name||D.label.text||\"shape 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j=i.ensureSingle(F,\"g\",\"scrollbox\"),U=f.title;if(f._titleWidth=0,f._titleHeight=0,U.text){var V=i.ensureSingle(j,\"text\",d+\"titletext\");V.attr(\"text-anchor\",\"start\").call(u.font,U.font).text(U.text),L(V,j,t,f,_)}else j.selectAll(\".\"+d+\"titletext\").remove();var H=i.ensureSingle(F,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),q=j.selectAll(\"g.groups\").data(w);q.enter().append(\"g\").attr(\"class\",\"groups\"),q.exit().remove();var G=q.selectAll(\"g.traces\").data(i.identity);G.enter().append(\"g\").attr(\"class\",\"traces\"),G.exit().remove(),G.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==R.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,f)})).call(x,t,f).each((function(){v||n.select(this).call(E,t,d)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(r);r||(r=e._fullLayout[s]);var 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t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},82424:function(t,e,r){\"use strict\";var n=r(73972),i=r(10130);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else g(b,_,m),v=Math.max(v,(x.name||\"\").length)}if(!f.length)return[];var T=!h||!l,k=[];for(a=0;a<f.length;a++){var A=c[f[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e})),k[a].sort(E);var L=k[a][0].trace,C=null;for(o=0;o<k[a].length;o++){var P=k[a][o].trace.legendgrouptitle;if(P&&P.text){C=P,s&&(P.font=e._groupTitleFont);break}}if(u&&k[a].reverse(),C){var O=!1;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){O=!0;break}k[a].unshift({i:-1,groupTitle:C,noClick:O,trace:{showlegend:L.showlegend,legendgroup:L.legendgroup,visible:\"toggleitem\"===e.groupclick||L.visible}})}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]]}return e._lgroupsLength=k.length,e._maxNameLength=v,k}},85167:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,u=s.legend.itemclick,c=s.legend.itemdoubleclick,f=s.legend.groupclick;if(1===r&&\"toggle\"===u&&\"toggleothers\"===c&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=!1):o=!1,1===r?l=u:2===r&&(l=c),l){var h=\"togglegroup\"===f,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var v=e._fullData,g=(s.shapes||[]).filter((function(t){return t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var B,N,j,U,V=!0;for(x=0;x<y.length;x++)if(B=(U=y[x])===m,N=!0!==U.showlegend,!(B||N||D&&U.legendgroup===k||U.legend!==P||!0!==U.visible||n.traceIs(U,\"notLegendIsolatable\"))){V=!1;break}for(x=0;x<y.length;x++)if(!1!==(U=y[x]).visible&&U.legend===P&&!n.traceIs(U,\"notLegendIsolatable\"))switch(m.visible){case\"legendonly\":tt(U,!0);break;case!0:j=!!V||\"legendonly\",B=U===m,N=!0!==U.showlegend&&!U.legendgroup,tt(U,!!(B||D&&U.legendgroup===k||N)||j)}}for(x=0;x<S.length;x++)if(_=S[x]){var H=_.constructUpdate(),q=Object.keys(H);for(b=0;b<q.length;b++)w=q[b],(A[w]=A[w]||[])[E[x]]=H[w]}for(T=Object.keys(A),x=0;x<T.length;x++)for(w=T[x],b=0;b<M.length;b++)A[w].hasOwnProperty(b)||(A[w][b]=void 0);C?n.call(\"_guiUpdate\",e,A,{shapes:L},M):n.call(\"_guiRestyle\",e,A,M)}else{var G=d.label,Z=p.indexOf(G);if(\"toggle\"===l)-1===Z?p.push(G):p.splice(Z,1);else if(\"toggleothers\"===l){var Y=-1!==Z,W=[];for(x=0;x<e.calcdata.length;x++){var X=e.calcdata[x];for(b=0;b<X.length;b++){var J=X[b].label;P===X[0].trace.legend&&G!==J&&(-1===p.indexOf(J)&&(Y=!0),a(p,J),W.push(J))}}if(!Y)for(var K=0;K<W.length;K++){var $=p.indexOf(W[K]);-1!==$&&p.splice($,1)}}n.call(\"_guiRelayout\",e,\"hiddenlabels\",p)}}}}function Q(t,e){var r=M.indexOf(t),n=A.visible;return n||(n=A.visible=[]),-1===M.indexOf(t)&&(M.push(t),r=M.length-1),n[r]=e,r}function tt(t,e){if(!d.groupTitle||h){var r,a=t._fullInput||t,o=a._isShape,s=a.index;if(void 0===s&&(s=a._index),n.hasTransform(a,\"groupby\")){var l=S[s];if(!l){var 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in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},37113:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use strict\";t.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},28674:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(85501),s=r(37113),l=r(89573);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(\"visible\")){var l=o(\"step\");\"all\"!==l&&(!a||\"gregorian\"===a||\"month\"!==l&&\"year\"!==l?o(\"stepmode\"):e.stepmode=\"backward\",o(\"count\")),o(\"label\")}}t.exports=function(t,e,r,c,f){var h=t.rangeselector||{},p=a.newContainer(e,\"rangeselector\");function d(t,e){return n.coerce(h,p,s,t,e)}if(d(\"visible\",o(h,p,{name:\"buttons\",handleItemDefaults:u,calendar:f}).length>0)){var v=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);d(\"x\",v[0]),d(\"y\",v[1]),n.noneOrAll(t,e,[\"x\",\"y\"]),d(\"xanchor\"),d(\"yanchor\"),n.coerceFont(d,\"font\",r.font);var g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},21598:function(t,e,r){\"use strict\";var n=r(39898),i=r(73972),a=r(74875),o=r(7901),s=r(91424),l=r(71828),u=l.strTranslate,c=r(63893),f=r(41675),h=r(18783),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(89573),y=r(70565);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},70565:function(t,e,r){\"use strict\";var n=r(81041),i=r(71828).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},97218:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(37113)}}},layoutAttributes:r(37113),handleDefaults:r(28674),draw:r(21598)}},75148:function(t,e,r){\"use 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n=r(39898),i=r(73972),a=r(74875),o=r(71828),s=o.strTranslate,l=r(91424),u=r(7901),c=r(92998),f=r(93612),h=r(41675),p=r(28569),d=r(6964),v=r(73251);function g(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function y(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function m(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" 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i=o.ensureSingle(t,\"g\",v.grabberMinClassName),a=o.ensureSingle(t,\"g\",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,\"stroke-width\":v.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,\"rect\",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr(\"height\",n._height),o.ensureSingle(a,\"rect\",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr(\"height\",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+\"-\"+e._uid}var 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d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select(\"g.\"+v.grabberMinClassName).attr(\"transform\",s(m,y)),t.select(\"g.\"+v.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,u,f),\"bottom\"===r.side&&c.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},549:function(t,e,r){\"use strict\";var n=r(41675),i=r(63893),a=r(73251),o=r(18783).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return 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n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){\"use strict\";t.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},8389:function(t,e,r){\"use strict\";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\")},34122:function(t){\"use strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},59402:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},32485:function(t,e,r){\"use strict\";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},53777:function(t,e,r){\"use strict\";var n=r(79952).P,i=r(1426).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},90849:function(t){\"use strict\";t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},35855:function(t,e,r){\"use strict\";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y<g.length)switch(u._fullLayout.selections[y].type){case\"rect\":v=\"select\";break;case\"path\":v=\"lasso\"}}var m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},75549:function(t,e,r){\"use strict\";var n=r(71828).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},47322:function(t,e,r){\"use strict\";var n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);$(e,s),Y(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function H(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=H(t[0])?0:t[0][0][0],n=r,i=H(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(H(t[o]))e.push(q(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(W),u=r.map(W);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=J(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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n=r(50215),i=r(41940),a=r(82196).line,o=r(79952).P,s=r(1426).extendFlat,l=r(44467).templatedArray,u=(r(24695),r(9012)),c=r(5386).R,f=r(37281);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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v=\"pixel\"===h.xsizemode?h.xanchor:h.x0,g=\"pixel\"===h.xsizemode?h.xanchor:h.x1;(f=c(u=i.getFromId(t,h.xref),v,g,h.path,a.paramIsX))&&(h._extremes[u._id]=i.findExtremes(u,f,s(h)))}if(\"paper\"!==h.yref&&\"domain\"!==d){var y=\"pixel\"===h.ysizemode?h.yanchor:h.y0,m=\"pixel\"===h.ysizemode?h.yanchor:h.y1;(f=c(u=i.getFromId(t,h.yref),y,m,h.path,a.paramIsY))&&(h._extremes[u._id]=i.findExtremes(u,f,l(h)))}}}},21459:function(t){\"use strict\";t.exports={segmentRE:/[MLHVQCTSZ][^MLHVQCTSZ]*/g,paramRE:/[^\\s,]+/g,paramIsX:{M:{0:!0,drawn:0},L:{0:!0,drawn:0},H:{0:!0,drawn:0},V:{},Q:{0:!0,2:!0,drawn:2},C:{0:!0,2:!0,4:!0,drawn:4},T:{0:!0,drawn:0},S:{0:!0,2:!0,drawn:2},Z:{}},paramIsY:{M:{1:!0,drawn:1},L:{1:!0,drawn:1},H:{},V:{0:!0,drawn:0},Q:{1:!0,3:!0,drawn:3},C:{1:!0,3:!0,5:!0,drawn:5},T:{1:!0,drawn:1},S:{1:!0,3:!0,drawn:5},Z:{}},numParams:{M:2,L:2,H:1,V:1,Q:4,C:6,T:2,S:4,Z:0}}},84726:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(89827),s=r(30477);function 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n=r(7901),i=r(71828);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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m,x,b,_,w=[],T=f[y][0],k=T;switch(T){case\"M\":h[++p]=[],d=+f[y][1],v=+f[y][2],w.push([k,d,v]),g();break;case\"Q\":case\"S\":m=+f[y][1],b=+f[y][2],d=+f[y][3],v=+f[y][4],w.push([k,d,v,m,b]);break;case\"C\":m=+f[y][1],b=+f[y][2],x=+f[y][3],_=+f[y][4],d=+f[y][5],v=+f[y][6],w.push([k,d,v,m,b,x,_]);break;case\"T\":case\"L\":d=+f[y][1],v=+f[y][2],w.push([k,d,v]);break;case\"H\":k=\"L\",d=+f[y][1],w.push([k,d,v]);break;case\"V\":k=\"L\",v=+f[y][1],w.push([k,d,v]);break;case\"A\":k=\"L\";var A=+f[y][1],M=+f[y][2];+f[y][4]||(A=-A,M=-M);var S=d-A,E=v;for(o=1;o<=a/2;o++){var L=2*Math.PI*o/a;w.push([k,S+A*Math.cos(L),E+M*Math.sin(L)])}break;case\"Z\":d===s&&v===c||(d=s,v=c,w.push([k,d,v]))}for(var C=(r||{}).domain,P=e._fullLayout._size,O=r&&\"pixel\"===r.xsizemode,I=r&&\"pixel\"===r.ysizemode,D=!1===i,z=0;z<w.length;z++){for(o=0;o+2<7;o+=2){var R=w[z][o+1],F=w[z][o+2];void 0!==R&&void 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return 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0!==x?o.call(\"_guiRestyle\",t,y,e,x):o.call(\"_guiRelayout\",t,y,e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(F)})).on(\"input\",(function(t){this.text(t||\" \").call(f.positionText,_.x,_.y)}))),R.classed(\"js-placeholder\",M),T}}},7163:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399),a=r(1426).extendFlat,o=r(30962).overrideAll,s=r(35025),l=r(44467).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},75909:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},64897:function(t,e,r){\"use strict\";var n=r(71828),i=r(85501),a=r(7163),o=r(75909).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:u}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function u(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},13689:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(7901),o=r(91424),s=r(71828),l=r(63893),u=r(44467).arrayEditor,c=r(18783).LINE_SPACING,f=r(75909),h=r(25849);function p(t){return t._index}function d(t,e){return+t.attr(f.menuIndexAttrName)===e._index}function v(t,e,r,n,i,a,o,s){e.active=o,u(t.layout,f.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(f.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",f.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,u=i.active,c=i.buttons[u]||f.blankHeaderOpts,h={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(m,i,c,t).call(M,i,h,p),s.ensureSingle(e,\"text\",f.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(f.arrowSymbol[i.direction])})).attr({x:l.headerWidth-f.arrowOffsetX+i.pad.l,y:l.headerHeight/2+f.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var u=n.select(this);u.call(m,o,s,t).call(M,o,b),u.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(v(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(v(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),u.on(\"mouseover\",(function(){u.call(w)})),u.on(\"mouseout\",(function(){u.call(T,o),c.call(_,o)}))})),c.call(_,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(c.size()?function(t,e,r,n,i,a){var o,s,l,u=i.direction,c=\"up\"===u||\"down\"===u,h=i._dims,p=i.active;if(c)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else for(o=0,l=0;l<p;l++)o+=h.widths[l]+f.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var v=\"left\";s.isRightAnchor(e)&&(r.lx-=h,v=\"right\"),s.isCenterAnchor(e)&&(r.lx-=h/2,v=\"center\");var g=\"top\";s.isBottomAnchor(e)&&(r.ly-=p,g=\"bottom\"),s.isMiddleAnchor(e)&&(r.ly-=p/2,g=\"middle\"),r.totalWidth=Math.ceil(r.totalWidth),r.totalHeight=Math.ceil(r.totalHeight),r.lx=Math.round(r.lx),r.ly=Math.round(r.ly),i.autoMargin(t,A(e),{x:e.x,y:e.y,l:h*({right:1,center:.5}[v]||0),r:h*({left:1,center:.5}[v]||0),b:p*({top:1,middle:.5}[g]||0),t:p*({bottom:1,middle:.5}[g]||0)})}function A(t){return f.autoMarginIdRoot+t._index}function M(t,e,r,n){n=n||{};var i=t.select(\".\"+f.itemRectClassName),a=t.select(\".\"+f.itemTextClassName),s=e.borderwidth,u=r.index,h=e._dims;o.setTranslate(t,s+r.x,s+r.y);var p=-1!==[\"up\",\"down\"].indexOf(e.direction),d=n.height||(p?h.heights[u]:h.height1);i.attr({x:0,y:0,width:n.width||(p?h.width1:h.widths[u]),height:d});var v=e.font.size*c,g=(l.lineCount(a)-1)*v/2;l.positionText(a,f.textOffsetX,d/2-g+f.textOffsetY),p?r.y+=h.heights[u]+r.yPad:r.x+=h.widths[u]+r.xPad,r.index++}function S(t,e){t.attr(f.menuIndexAttrName,e||\"-1\").selectAll(\"g.\"+f.dropdownButtonClassName).remove()}t.exports=function(t){var e=t._fullLayout,r=s.filterVisible(e[f.name]);function a(e){i.autoMargin(t,A(e))}var o=e._menulayer.selectAll(\"g.\"+f.containerClassName).data(r.length>0?[0]:[]);if(o.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",\"pointer\"),o.exit().each((function(){n.select(this).selectAll(\"g.\"+f.headerGroupClassName).each(a)})).remove(),0!==r.length){var l=o.selectAll(\"g.\"+f.headerGroupClassName).data(r,p);l.enter().append(\"g\").classed(f.headerGroupClassName,!0);for(var u=s.ensureSingle(o,\"g\",f.dropdownButtonGroupClassName,(function(t){t.style(\"pointer-events\",\"all\")})),c=0;c<r.length;c++){var m=r[c];k(t,m)}var x=\"updatemenus\"+e._uid,b=new 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var 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t.newIndex-e.newIndex})),a=0;a<l.length;a+=1)s.splice(l[a].newIndex,0,l[a].trace);r.data=s;var d=e.redraw(r);return u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){var s=I(r=o.getGraphDiv(r),n,i,a,(function(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=D(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.extendTraces,c,t,arguments),l},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var 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e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=ot,r._calcInverseTransform(t),r._container=e.selectAll(\".plot-container\").data([0]),r._container.enter().insert(\"div\",\":first-child\").classed(\"plot-container\",!0).classed(\"plotly\",!0),r._paperdiv=r._container.selectAll(\".svg-container\").data([0]),r._paperdiv.enter().append(\"div\").classed(\"user-select-none\",!0).classed(\"svg-container\",!0).style(\"position\",\"relative\"),r._glcontainer=r._paperdiv.selectAll(\".gl-container\").data([{}]),r._glcontainer.enter().append(\"div\").classed(\"gl-container\",!0),r._paperdiv.selectAll(\".main-svg\").remove(),r._paperdiv.select(\".modebar-container\").remove(),r._paper=r._paperdiv.insert(\"svg\",\":first-child\").classed(\"main-svg\",!0),r._toppaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),r._modebardiv=r._paperdiv.append(\"div\"),delete r._modeBar,r._hoverpaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),!r._uid){var i={};n.selectAll(\"defs\").each((function(){this.id&&(i[this.id.split(\"-\")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(\".main-svg\").attr(y.svgAttrs),r._defs=r._paper.append(\"defs\").attr(\"id\",\"defs-\"+r._uid),r._clips=r._defs.append(\"g\").classed(\"clips\",!0),r._topdefs=r._toppaper.append(\"defs\").attr(\"id\",\"topdefs-\"+r._uid),r._topclips=r._topdefs.append(\"g\").classed(\"clips\",!0),r._bgLayer=r._paper.append(\"g\").classed(\"bglayer\",!0),r._draggers=r._paper.append(\"g\").classed(\"draglayer\",!0);var a=r._paper.append(\"g\").classed(\"layer-below\",!0);r._imageLowerLayer=a.append(\"g\").classed(\"imagelayer\",!0),r._shapeLowerLayer=a.append(\"g\").classed(\"shapelayer\",!0),r._cartesianlayer=r._paper.append(\"g\").classed(\"cartesianlayer\",!0),r._polarlayer=r._paper.append(\"g\").classed(\"polarlayer\",!0),r._smithlayer=r._paper.append(\"g\").classed(\"smithlayer\",!0),r._ternarylayer=r._paper.append(\"g\").classed(\"ternarylayer\",!0),r._geolayer=r._paper.append(\"g\").classed(\"geolayer\",!0),r._funnelarealayer=r._paper.append(\"g\").classed(\"funnelarealayer\",!0),r._pielayer=r._paper.append(\"g\").classed(\"pielayer\",!0),r._iciclelayer=r._paper.append(\"g\").classed(\"iciclelayer\",!0),r._treemaplayer=r._paper.append(\"g\").classed(\"treemaplayer\",!0),r._sunburstlayer=r._paper.append(\"g\").classed(\"sunburstlayer\",!0),r._indicatorlayer=r._toppaper.append(\"g\").classed(\"indicatorlayer\",!0),r._glimages=r._paper.append(\"g\").classed(\"glimages\",!0);var s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._selectionLayer=r._toppaper.append(\"g\").classed(\"selectionlayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),v._shouldCreateBgLayer&&delete v._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},v._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),t._fullLayout.title.text&&t._fullLayout.title.automargin&&h.allowAutoMargin(t,\"title.automargin\"),v._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=v._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!v._glcanvas&&v._has(\"gl\")&&(v._glcanvas=v._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],(function(t){return t.key})),v._glcanvas.enter().append(\"canvas\").attr(\"class\",(function(t){return\"gl-canvas gl-canvas-\"+t.key.replace(\"Layer\",\"\")})).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var i=t._context.plotGlPixelRatio;if(v._glcanvas){v._glcanvas.attr(\"width\",v.width*i).attr(\"height\",v.height*i).style(\"width\",v.width+\"px\").style(\"height\",v.height+\"px\");var a=v._glcanvas.data()[0].regl;if(a&&(Math.floor(v.width*i)!==a._gl.drawingBufferWidth||Math.floor(v.height*i)!==a._gl.drawingBufferHeight)){var s=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(!k)return o.log(s+\" Clearing 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c={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:u,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],c)}return(u.calc||u.plot)&&(u.fullReplot=!0),i&&u.nChanges&&u.nChangesAnim&&(u.anim=u.nChanges===u.nChangesAnim&&o?\"all\":\"some\"),u}(t,u,y,x,b,A);if(W(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(m),C=0;C<E.length;C++){var P=E[C],O=P.substring(0,5);if(\"xaxis\"===O||\"yaxis\"===O){var I=m[P]._emptyCategories;I&&I()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,y);var D=[];if(a&&(t._transitionData={},h.createTransitionData(t),D.push((function(){return e.addFrames(t,a)}))),m.transition&&!v&&(S.anim||k.anim))k.ticks&&D.push(w.doTicksRelayout),h.doCalcdata(t),w.doAutoRangeAndConstraints(t),D.push((function(){return h.transitionFromReact(t,S,k,p)}));else if(S.fullReplot||k.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in k.arrays){var F=k.arrays[z];if(F.length){var B=c.getComponentMethod(z,\"drawOne\");if(B!==o.noop)for(var N=0;N<F.length;N++)B(t,F[N]);else{var j=c.getComponentMethod(z,\"draw\");if(j===o.noop)throw new Error(\"cannot draw components: \"+z);j(t)}}}D.push(h.previousPromises),S.style&&D.push(w.doTraceStyle),(S.colorbars||k.colorbars)&&D.push(w.doColorBars),k.legend&&D.push(w.doLegend),k.layoutstyle&&D.push(w.layoutStyles),k.axrange&&H(D),k.ticks&&D.push(w.doTicksRelayout),k.modebar&&D.push(w.doModeBar),k.camera&&D.push(w.doCamera),D.push(M)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit(\"plotly_react\",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error(\"This element is not a Plotly plot: 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h=s.distinctVals(t),p=Math.pow(10,Math.floor(Math.log(h.minDiff)/Math.LN10)),v=p*s.roundUp(h.minDiff/p,[.9,1.9,4.9,9.9],!0);f=Math.max(v,2*s.stdev(t)/Math.pow(t.length,n?.25:.4)),i(f)||(f=1)}q.autoTicks(l,f)}var g,y=l.dtick,m=q.tickIncrement(q.tickFirst(l),y,\"reverse\",a);if(\"number\"==typeof y)m=function(t,e,r,n,a){var o=0,s=0,l=0,u=0;function c(e){return(1+100*(e-t)/r.dtick)%100<2}for(var f=0;f<e.length;f++)e[f]%1==0?l++:i(e[f])||u++,c(e[f])&&o++,c(e[f]+r.dtick/2)&&s++;var h=e.length-u;if(l===h&&\"date\"!==r.type)r.dtick<1?t=n-.5*r.dtick:(t-=.5)+r.dtick<n&&(t+=r.dtick);else if(s<.1*h&&(o>.3*h||c(n)||c(a))){var p=r.dtick/2;t+=t+p<n?p:-p}return t}(m,t,l,u,c),g=m+(1+Math.floor((c-m)/y))*y;else for(\"M\"===l.dtick.charAt(0)&&(m=function(t,e,r,n,i){var a=s.findExactDates(e,i);if(a.exactDays>.8){var o=Number(r.substr(1));a.exactYears>.8&&o%12==0?t=q.tickIncrement(t,\"M6\",\"reverse\")+1.5*M:a.exactMonths>.8?t=q.tickIncrement(t,\"M1\",\"reverse\")+15.5*M:t-=S;var l=q.tickIncrement(t,r);if(l<=n)return l}return t}(m,t,y,u,a)),g=m;g<=c;)g=q.tickIncrement(g,y,!1,a);return{start:e.c2r(m,0,a),end:e.c2r(g,0,a),size:y,_dataSpan:c-u}},q.prepMinorTicks=function(t,e,r){if(!e.minor.dtick){delete t.dtick;var n,a=e.dtick&&i(e._tmin);if(a){var o=q.tickIncrement(e._tmin,e.dtick,!0);n=[e._tmin,.99*o+.01*e._tmin]}else{var l=s.simpleMap(e.range,e.r2l);n=[l[0],.8*l[0]+.2*l[1]]}if(t.range=s.simpleMap(n,e.l2r),t._isMinor=!0,q.prepTicks(t,r),a){var u=i(e.dtick),c=i(t.dtick),f=u?e.dtick:+e.dtick.substring(1),h=c?t.dtick:+t.dtick.substring(1);u&&c?et(f,h)?f===2*A&&h===2*M&&(t.dtick=A):f===2*A&&h===3*M?t.dtick=A:f!==A||(e._input.minor||{}).nticks?rt(f/h,2.5)?t.dtick=f/2:t.dtick=f:t.dtick=M:\"M\"===String(e.dtick).charAt(0)?c?t.dtick=\"M1\":et(f,h)?f>=12&&2===h&&(t.dtick=\"M3\"):t.dtick=e.dtick:\"L\"===String(t.dtick).charAt(0)?\"L\"===String(e.dtick).charAt(0)?et(f,h)||(t.dtick=rt(f/h,2.5)?e.dtick/2:e.dtick):t.dtick=\"D1\":\"D2\"===t.dtick&&+e.dtick>1&&(t.dtick=1)}t.range=e.range}void 0===e.minor._tick0Init&&(t.tick0=e.tick0)},q.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),t.minor&&\"array\"!==t.minor.tickmode||\"array\"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,q.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}\"period\"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||\"M\"!==t.dtick.charAt(0))}var n=r(),a=q.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=E,o&&!n&&t.dtick<E&&(t.dtick=E)):/%p/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%[Aadejuwx]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[UVW]/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[Bbm]/.test(a)?(e=T,o&&(n?nt(t.dtick)<1:t.dtick<k)&&(t.dtick=\"M1\")):/%[q]/.test(a)?(e=b,o&&(n?nt(t.dtick)<3:t.dtick<_)&&(t.dtick=\"M3\")):/%[Yy]/.test(a)&&(e=y,o&&(n?nt(t.dtick)<12:t.dtick<m)&&(t.dtick=\"M12\")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0),t._definedDelta=e}(t),t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),vt(t)},q.calcTicks=function(t,e){for(var r,n,a=t.type,o=t.calendar,l=t.ticklabelstep,u=\"period\"===t.ticklabelmode,c=s.simpleMap(t.range,t.r2l,void 0,void 0,e),f=c[1]<c[0],h=Math.min(c[0],c[1]),p=Math.max(c[0],c[1]),d=Math.max(1e3,t._length||0),v=[],L=[],C=[],P=[],I=t.minor&&(t.minor.ticks||t.minor.showgrid),D=1;D>=(I?0:1);D--){var z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?q.prepMinorTicks(R,t,e):q.prepTicks(R,e),\"array\"!==R.tickmode)if(\"sync\"!==R.tickmode){var F=K(c),B=F[0],N=F[1],j=i(R.dtick),U=\"log\"===a&&!(j||\"L\"===R.dtick.charAt(0)),V=q.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;\"category\"!==a&&\"multicategory\"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var H,G,Z=null,Y=V;D&&(j?G=t.dtick:\"date\"===a?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,H=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var W=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=q.tickIncrement(Y,W,!f,o))),D&&u&&(Y=q.tickIncrement(Y,W,!f,o),H--);f?Y>=N:Y<=N;Y=q.tickIncrement(Y,W,f,o)){if(D&&H++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===Z)break;Z=Y;var X={value:Y};D?(U&&Y!==(0|Y)&&(X.simpleLabel=!0),l>1&&H%l&&(X.skipLabel=!0),C.push(X)):(X.minor=!0,P.push(X))}}else C=[],v=at(t);else D?(C=[],v=ot(t)):(P=[],L=ot(t))}if(I&&!(\"inside\"===t.minor.ticks&&\"outside\"===t.ticks||\"outside\"===t.minor.ticks&&\"inside\"===t.ticks)){for(var J=C.map((function(t){return t.value})),$=[],Q=0;Q<P.length;Q++){var tt=P[Q],et=tt.value;if(-1===J.indexOf(et)){for(var rt=!1,nt=0;!rt&&nt<C.length;nt++)1e7+C[nt].value===1e7+et&&(rt=!0);rt||$.push(tt)}}P=$}if(u&&function(t,e,r){for(var n=0;n<t.length;n++){var i=t[n].value,a=n,o=n+1;n<t.length-1?(a=n,o=n+1):n>0?(a=n-1,o=n):(a=n,o=n);var s,l=t[a].value,u=t[o].value,c=Math.abs(u-l),f=r||c,h=0;f>=m?h=c>=m&&c<=g?c:y:r===b&&f>=_?h=c>=_&&c<=x?c:b:f>=k?h=c>=k&&c<=w?c:T:r===A&&f>=A?h=A:f>=M?h=M:r===S&&f>=S?h=S:r===E&&f>=E&&(h=E),h>=c&&(h=c,s=!0);var p=i+h;if(e.rangebreaks&&h>0){for(var d=0,v=0;v<84;v++){var L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it=\"y\"===t._id.charAt(0),st=1;\"auto\"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&a<=10||e>=15*M)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick=\"M\"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=q.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+dt(e,n,st)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,u,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if(\"D\"===l){var c=\"D2\"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},q.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,u=K(a)[0],c=t.dtick,f=r(t.tick0);if(i(c)){var h=l((u-f)/c)*c+f;return\"category\"!==t.type&&\"multicategory\"!==t.type||(h=s.constrain(h,0,t._categories.length-1)),h}var p=c.charAt(0),d=Number(c.substr(1));if(\"M\"===p){for(var v,g,y,m=0,x=f;m<10;){if(((v=q.tickIncrement(x,c,o,t.calendar))-u)*(x-u)<=0)return o?Math.min(x,v):Math.max(x,v);g=(u-(x+v)/2)/(v-x),y=p+(Math.abs(Math.round(g))||1)*d,x=q.tickIncrement(x,y,g<0?!o:o,t.calendar),m++}return s.error(\"tickFirst did not converge\",t),x}if(\"L\"===p)return Math.log(l((Math.pow(10,u)-f)/d)*d+f)/Math.LN10;if(\"D\"===p){var b=\"D2\"===c?ht:ft,_=s.roundUp(s.mod(u,1),b,o);return Math.floor(u)+Math.log(n.round(Math.pow(10,_),1))/Math.LN10}throw\"unrecognized dtick \"+String(c)},q.tickText=function(t,e,r,n){var 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if(t._inCalcTicks&&t._prevDateHead===l){var f=Rt(t),h=t._trueSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(u+=\"<br> \")}else t._prevDateHead=l,u+=\"<br>\"+l;e.text=u}(t,o,r,u):\"log\"===c?function(t,e,r,n,a){var o=t.dtick,l=e.x,u=t.tickformat,c=\"string\"==typeof o&&o.charAt(0);if(\"never\"===a&&(a=\"\"),n&&\"L\"!==c&&(o=\"L3\",c=\"L\"),u||\"L\"===c)e.text=bt(Math.pow(10,l),t,a,n);else if(i(o)||\"D\"===c&&s.mod(l+.01,1)<.1){var f=Math.round(l),h=Math.abs(f),p=t.exponentformat;\"power\"===p||mt(p)&&xt(f)?(e.text=0===f?1:1===f?\"10\":\"10<sup>\"+(f>1?\"\":P)+h+\"</sup>\",e.fontSize*=1.25):(\"e\"===p||\"E\"===p)&&h>2?e.text=\"1\"+p+(f>0?\"+\":P)+h:(e.text=bt(Math.pow(10,l),t,\"\",\"fakehover\"),\"D1\"===o&&\"y\"===t._id.charAt(0)&&(e.dy-=e.fontSize/6))}else{if(\"D\"!==c)throw\"unrecognized dtick \"+String(o);e.text=String(Math.round(Math.pow(10,s.mod(l,1)))),e.fontSize*=.75}if(\"D1\"===t.dtick){var 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v=Object.keys(n),m=1/0,x=0,b=1/0,_={},w={},T=!1;for(r=0;r<v.length;r++)w[o=v[r]]=l=p[a(o)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),_[o]=c=Math.abs(l._m)/n[o],m=Math.min(m,c),\"domain\"!==l.constrain&&l._constraintShrinkable||(b=Math.min(b,c)),delete l._constraintShrinkable,x=Math.max(x,c),\"domain\"===l.constrain&&(T=!0);if(!(m>u*x)||T)for(r=0;r<v.length;r++)if(c=_[o=v[r]],f=(l=w[o]).constrain,c!==b||\"domain\"===f)if(h=c/b,\"range\"===f)s(l,h);else{var k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,O=Math.abs(E-L),I=L-O*h*1.0001,D=L+O*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>P&&(P=F);h/=(P-C)/(2*O),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},29323:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(84267),s=r(38520),l=r(73972),u=i.strTranslate,c=r(63893),f=r(7901),h=r(91424),p=r(30211),d=r(89298),v=r(6964),g=r(28569),y=r(64505),m=y.selectingOrDrawing,x=y.freeMode,b=r(18783).FROM_TL,_=r(33306),w=r(61549).redrawReglTraces,T=r(74875),k=r(41675).getFromId,A=r(47322).prepSelect,M=r(47322).clearOutline,S=r(47322).selectOnClick,E=r(42449),L=r(85555),C=L.MINDRAG,P=L.MINZOOM,O=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var r=0;r<t.length;r++)if(!t[r].fixedrange)return e;return\"\"}function R(t,e,r,n,i){for(var a=0;a<t.length;a++){var o=t[a];if(!o.fixedrange)if(o.rangebreaks){var 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t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function H(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function q(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var 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s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==c&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===c||\"north america\"===c&&50===u)&&(r(\"showsubunits\",x),r(\"subunitcolor\"),r(\"subunitwidth\")),d||r(\"showframe\",x)&&(r(\"framecolor\"),r(\"framewidth\")),r(\"bgcolor\"),r(\"fitbounds\")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):y?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:u,fullData:r,partition:\"y\"})}},74455:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(73972),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},u={cursor:\"auto\"};function c(t,e){return 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r,i,a,o,s,h,p,d,v,g=c(0,e);function y(t){return e.invert(t)}function m(r){var n=e.rotate(),i=e.invert(t.midPt);r(\"projection.rotation.lon\",-n[0]),r(\"center.lon\",i[0]),r(\"center.lat\",i[1])}return g.on(\"zoomstart\",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=y(r)})).on(\"zoom\",(function(){if(h=n.mouse(this),function(t){var r=y(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?y(h)&&(d=y(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=y(r=h),v=!0,t.render(!0);var l=e.rotate(),u=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":u[0],\"geo.center.lat\":u[1],\"geo.projection.rotation.lon\":-l[0]})})).on(\"zoomend\",(function(){n.select(this).style(u),v&&f(t,e,m)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var 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g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},27659:function(t,e,r){\"use strict\";var n=r(73972),i=r(85555).SUBPLOT_PATTERN;e.AU=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e.a0=function(t,e){var r,i=[],a=[];if(!(r=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.NG=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},75071:function(t,e,r){\"use strict\";var n=r(16825),i=r(1195),a=r(48956),o=r(85555),s=r(38520);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else 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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,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function 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o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,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.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=!1;function w(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var T=w.prototype;T.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var k=!0;T.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!k||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return k=!1,r},T.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},T.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){_=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},T.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,w=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(w,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;w.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,h,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(w,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(w,T,\"bordercolor\"),fontFamily:d.castHoverOption(w,T,\"font.family\"),fontSize:d.castHoverOption(w,T,\"font.size\"),fontColor:d.castHoverOption(w,T,\"font.color\"),nameLength:d.castHoverOption(w,T,\"namelength\"),textAlign:d.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||_)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},T.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var A=[\"xaxis\",\"yaxis\",\"zaxis\"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=A[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}T.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&M(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=A[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var 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i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=T(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=T(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function k(t){return[t.lon,t.lat]}b.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return _[t[0].trace.type]-_[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var u=Object.keys(a);t:for(n=0;n<u.length;n++){var c=u[n];for(i=0;i<t.length;i++)if(c===(r=t[i][0].trace).uid)continue t;(e=a[c]).dispose(),delete a[c]}},b.updateLayout=function(t){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,u=r[o].angularaxis,c=l.makeCalcdata(e,\"r\"),f=u.makeCalcdata(e,\"theta\"),h=e._length,p=new Array(h),d=c,v=f,g=0;g<h;g++)p[g]={p:v[g],s:d[g]};function y(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=Array.isArray(r)?u.makeCalcdata(e,t):u.d2c(r,e.thetaunit))}return\"linear\"===u.type&&(y(\"width\"),y(\"offset\")),n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],c=s[0].trace;!0===c.visible&&l(c,\"bar\")&&c.subplot===r&&i.push(s)}var f=u({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},6135:function(t,e,r){\"use strict\";var n=r(71828),i=r(22184).handleRThetaDefaults,a=r(98340),o=r(55023);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},27379:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(95423).getTraceColor,o=i.fillText,s=r(59150).makeHoverPointText,l=r(10869).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return v(m,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-m)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=u[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,c,t),s(_,c,f,t),t.hovertemplate=c.hovertemplate,t.color=a(c,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},23381:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:r(23580),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:r(55023),layoutAttributes:r(40151),supplyDefaults:r(6135),supplyLayoutDefaults:r(19860),calc:r(74692).calc,crossTraceCalc:r(74692).crossTraceCalc,plot:r(60173),colorbar:r(4898),formatLabels:r(98608),style:r(16688).style,styleOnSelect:r(16688).styleOnSelect,hoverPoints:r(27379),selectPoints:r(81974),meta:{}}},40151:function(t){\"use strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},bargap:{valType:\"number\",dflt:.1,min:0,max:1,editType:\"calc\"}}},19860:function(t,e,r){\"use strict\";var n=r(71828),i=r(40151);t.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var 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r=n.select(this),s=a.ensureSingle(r,\"g\",\"points\").selectAll(\"g.point\").data(a.identity);s.enter().append(\"g\").style(\"vector-effect\",l?\"none\":\"non-scaling-stroke\").style(\"stroke-miterlimit\",2).classed(\"point\",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=f.c2p(t.s0),s=t.rp1=f.c2p(t.s1),l=t.thetag0=h.c2g(t.p0),d=t.thetag1=h.c2g(t.p1);if(i(o)&&i(s)&&i(l)&&i(d)&&o!==s&&l!==d){var v=f.c2g(t.s1),g=(l+d)/2;t.ct=[u.c2p(v*Math.cos(g)),c.c2p(v*Math.sin(g))],e=p(o,s,l,d)}else e=\"M0,0Z\";a.ensureSingle(r,\"path\").attr(\"d\",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},53522:function(t,e,r){\"use strict\";var 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ct,ft;(E={}).pos=E[_]=B[r],L=E.pts=nt[r].sort(f),P=(C=E[x]=L.map(h)).length,E.min=C[0],E.max=C[P-1],E.mean=o.mean(C,P),E.sd=o.stdev(C,P,E.mean),E.med=o.interp(C,.5),P%2&&(lt||ut)?(lt?(ct=C.slice(0,P/2),ft=C.slice(P/2+1)):ut&&(ct=C.slice(0,P/2+1),ft=C.slice(P/2)),E.q1=o.interp(ct,.5),E.q3=o.interp(ft,.5)):(E.q1=o.interp(C,.25),E.q3=o.interp(C,.75)),E.lf=p(E,C,P),E.uf=d(E,C,P),E.lo=v(E),E.uo=g(E);var ht=y(E,P);E.ln=E.med-ht,E.un=E.med+ht,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=L.filter(j),M.push(E)}e._extremes[m._id]=i.findExtremes(m,e.notched?tt.concat([at,ot]):tt,{padded:!0})}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r<t.length;r++){for(var n=t[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;o.tagSelected(n,e,i)}}(M,e),M.length>0?(M[0].t={num:T[S],dPos:N,posLetter:_,valLetter:x,labels:{med:l(t,\"median:\"),min:l(t,\"min:\"),q1:l(t,\"q1:\"),q3:l(t,\"q3:\"),max:l(t,\"max:\"),mean:\"sd\"===e.boxmean?l(t,\"mean ± σ:\"):l(t,\"mean:\"),lf:l(t,\"lower 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g=i.distinctVals(d);\"category\"!==o.type&&\"multicategory\"!==o.type||(g.minDiff=1);var y=g.minDiff/2;n.minDtick(o,g.minDiff,g.vals[0],!0);var m=f[\"violin\"===t?\"_numViolins\":\"_numBoxes\"],x=\"group\"===f[t+\"mode\"]&&m>1,b=1-f[t+\"gap\"],_=1-f[t+\"groupgap\"];for(s=0;s<r.length;s++){var w,T,k,A,M,S,E=(u=c[r[s]])[0].trace,L=u[0].t,C=E.width,P=E.side;if(C)w=T=A=C/2,k=0;else if(w=y,x){var O=a(f,o._id)+E.orientation,I=(f._alignmentOpts[O]||{})[E.alignmentgroup]||{},D=Object.keys(I.offsetGroups||{}).length,z=D||m;T=w*b*_/z,k=2*w*(((D?E._offsetIndex:L.num)+.5)/z-.5)*b,A=w*b/z}else T=w*b*_,k=0,A=w;L.dPos=w,L.bPos=k,L.bdPos=T,L.wHover=A;var R,F,B,N,j,U,V=k+T,H=Boolean(C);if(\"positive\"===P?(M=w*(C?1:.5),R=V,S=R=k):\"negative\"===P?(M=R=k,S=w*(C?1:.5),F=V):(M=S=w,R=F=V),(E.boxpoints||E.points)&&v>0){var q=E.pointpos,G=E.jitter,Z=E.marker.size/2,Y=0;q+G>=0&&((Y=V*(q+G))>M?(H=!0,j=Z,B=Y):Y>R&&(j=Z,B=M)),Y<=M&&(B=M);var W=0;q-G<=0&&((W=-V*(q-G))>S?(H=!0,U=Z,N=W):W>F&&(U=Z,N=S)),W<=S&&(N=S)}else B=M,N=S;var X=new Array(u.length);for(l=0;l<u.length;l++)X[l]=u[l].pos;E._extremes[h]=n.findExtremes(o,X,{padded:H,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}t.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],u=\"h\"===l?i:n,c=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||c.push(f)}s(\"box\",t,c,u)}},setPositionOffset:s}},36411:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(7901),o=r(73927),s=r(26125),l=r(4322),u=r(53522);function c(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],u[e])}var c,f=r(\"y\"),h=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),v=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&v&&v.length,c=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(v))}var g,y,m=o(f),x=o(h),b=m&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(m)){case\"00\":var k=s(\"x0\")||s(\"dx\");g=!s(\"y0\")&&!s(\"dy\")||k?\"v\":\"h\",y=c;break;case\"10\":g=\"v\",y=Math.min(c,_);break;case\"20\":g=\"h\",y=Math.min(c,h.length);break;case\"01\":g=\"h\",y=Math.min(c,b);break;case\"02\":g=\"v\",y=Math.min(c,f.length);break;case\"12\":g=\"v\",y=Math.min(c,_,f.length);break;case\"21\":g=\"h\",y=Math.min(c,h.length,b);break;case\"11\":y=0;break;case\"22\":var A,M=!1;for(A=0;A<h.length;A++)if(\"category\"===l(h[A],w,T)){M=!0;break}if(M)g=\"v\",y=Math.min(c,_,f.length);else{for(A=0;A<f.length;A++)if(\"category\"===l(f[A],w,T)){M=!0;break}M?(g=\"h\",y=Math.min(c,h.length,b)):(g=\"v\",y=Math.min(c,_,f.length))}}else 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c=r(a+\"points\",l);c?(r(\"jitter\",\"all\"===c?.3:0),r(\"pointpos\",\"all\"===c?-1.5:0),r(\"marker.symbol\"),r(\"marker.opacity\"),r(\"marker.size\"),r(\"marker.angle\"),r(\"marker.color\",e.line.color),r(\"marker.line.color\"),r(\"marker.line.width\"),\"suspectedoutliers\"===c&&(r(\"marker.line.outliercolor\",e.marker.color),r(\"marker.line.outlierwidth\")),r(\"selected.marker.color\"),r(\"unselected.marker.color\"),r(\"selected.marker.size\"),r(\"unselected.marker.size\"),r(\"text\"),r(\"hovertext\")):delete e.marker;var f=r(\"hoveron\");\"all\"!==f&&-1===f.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}t.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,u,r,i)}if(c(t,e,s,i),!1!==e.visible){o(t,e,i,s),s(\"xhoverformat\"),s(\"yhoverformat\");var l=e._hasPreCompStats;l&&(s(\"lowerfence\"),s(\"upperfence\")),s(\"line.color\",(t.marker||{}).color||r),s(\"line.width\"),s(\"fillcolor\",a.addOpacity(e.line.color,.5));var 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e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,x=h?(a+o)/2:f.l2p(e)+v,b=r.whiskerwidth,_=h?a*b+(1-b)*x:f.l2p(e-d)+v,w=h?o*b+(1-b)*x:f.l2p(e+d)+v,T=f.l2p(e-s*m)+v,k=f.l2p(e+l*m)+v,A=c.c2p(t.q1,!0),M=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(A,M)+1,Math.max(A,M)-1),E=void 0===t.lf||!1===r.boxpoints,L=c.c2p(E?t.min:t.lf,!0),C=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),O=c.c2p(t.un,!0);u?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+A+\",\"+a+\"V\"+o+(y?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+O+\",\"+o:\"\")+\"H\"+M+\"V\"+a+(y?\"H\"+O+\"L\"+S+\",\"+T+\"L\"+P+\",\"+a:\"\")+\"ZM\"+A+\",\"+x+\"H\"+L+\"M\"+M+\",\"+x+\"H\"+C+(0===g?\"\":\"M\"+L+\",\"+_+\"V\"+w+\"M\"+C+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+a+\",\"+A+\"H\"+o+(y?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+o+\",\"+O:\"\")+\"V\"+M+\"H\"+a+(y?\"V\"+O+\"L\"+T+\",\"+S+\"L\"+a+\",\"+P:\"\")+\"ZM\"+x+\",\"+A+\"V\"+L+\"M\"+x+\",\"+M+\"V\"+C+(0===g?\"\":\"M\"+_+\",\"+L+\"H\"+w+\"M\"+_+\",\"+C+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,u=n.bPos,c=r.boxpoints||r.points;i.seedPseudoRandom();var f=t.selectAll(\"g.points\").data(c?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extra Bold Italic\",\"Open Sans Extra Bold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var 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s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},9578:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var _r=function(t,e){this.type=t,this.args=e};_r.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Di.prototype.transitioned=function(t,e){for(var r=new Ri(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Di.prototype.untransitioned=function(){for(var t=new Ri(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var zi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};zi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:\"constant\",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},oo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Ci||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Ci||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Bi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function ji(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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",
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+      "text/plain": [
+       "<Figure size 2400x350 with 1 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "df[\"ds\"]=pd.to_datetime(df[\"ds\"])\n",
-    "sf.plot(df, forecast_df, level=[90], engine='plotly')"
+    "sf.plot(df, forecast_df, level=[90])"
    ]
   },
   {
diff --git a/nbs/docs/getting-started/2_Getting_Started_complete.ipynb b/nbs/docs/getting-started/2_Getting_Started_complete.ipynb
index fc4bacb33..29d59a9c4 100644
--- a/nbs/docs/getting-started/2_Getting_Started_complete.ipynb
+++ b/nbs/docs/getting-started/2_Getting_Started_complete.ipynb
@@ -7,16 +7,18 @@
    "outputs": [],
    "source": [
     "#| hide\n",
-    "\n",
-    "# This is to render Plotly plots into HTML\n",
-    "# For more information, see https://quarto.org/docs/interactive/widgets/jupyter.html#plotly\n",
-    "import plotly.io as pio\n",
-    "pio.renderers.default = \"plotly_mimetype+notebook_connected\"\n",
-    "\n",
-    "import warnings\n",
-    "warnings.simplefilter('ignore')\n",
-    "\n",
     "import logging\n",
+    "import warnings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#| hide\n",
+    "warnings.simplefilter('ignore')\n",
     "logging.getLogger('statsforecast').setLevel(logging.ERROR)"
    ]
   },
@@ -105,6 +107,28 @@
     "Depending on your internet connection, this step should take around 10 seconds. "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# this makes it so that the outputs of the predict methods have the id as a column \n",
+    "# instead of as the index\n",
+    "os.environ['NIXTLA_ID_AS_COL'] = '1'"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -186,10 +210,7 @@
     }
    ],
    "source": [
-    "import pandas as pd\n",
-    "\n",
     "Y_df = pd.read_parquet('https://datasets-nixtla.s3.amazonaws.com/m4-hourly.parquet')\n",
-    "\n",
     "Y_df.head()"
    ]
   },
@@ -210,12 +231,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\n",
     "uids = Y_df['unique_id'].unique()[:10] # Select 10 ids to make the example faster\n",
-    "\n",
-    "Y_df = Y_df.query('unique_id in @uids') \n",
-    "\n",
-    "Y_df = Y_df.groupby('unique_id').tail(7 * 24) #Select last 7 days of data to make example faster\n"
+    "Y_df = Y_df.query('unique_id in @uids')\n",
+    "Y_df = Y_df.groupby('unique_id').tail(7 * 24) #Select last 7 days of data to make example faster"
    ]
   },
   {
@@ -257,4083 +275,18 @@
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "        <script type=\"text/javascript\">\n",
-       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
-       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        requirejs.config({\n",
-       "            paths: {\n",
-       "                'plotly': ['https://cdn.plot.ly/plotly-2.25.2.min']\n",
-       "            }\n",
-       "        });\n",
-       "        require(['plotly'], function(Plotly) {\n",
-       "            window._Plotly = Plotly;\n",
-       "        });\n",
-       "        }\n",
-       "        </script>\n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#393b79",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
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",
+      "text/plain": [
+       "<Figure size 2400x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "StatsForecast.plot(Y_df, engine='plotly') "
+    "StatsForecast.plot(Y_df)"
    ]
   },
   {
@@ -4392,7 +345,6 @@
    "outputs": [],
    "source": [
     "from statsforecast.models import (\n",
-    "    AutoARIMA,\n",
     "    HoltWinters,\n",
     "    CrostonClassic as Croston, \n",
     "    HistoricAverage,\n",
@@ -4409,7 +361,6 @@
    "source": [
     "# Create a list of models and instantiation parameters\n",
     "models = [\n",
-    "    AutoARIMA(season_length=24),\n",
     "    HoltWinters(),\n",
     "    Croston(),\n",
     "    SeasonalNaive(season_length=24),\n",
@@ -4443,12 +394,11 @@
    "outputs": [],
    "source": [
     "# Instantiate StatsForecast class as sf\n",
-    "sf = StatsForecast(\n",
-    "    df=Y_df, \n",
+    "sf = StatsForecast( \n",
     "    models=models,\n",
-    "    freq='H', \n",
+    "    freq=1, \n",
+    "    fallback_model = SeasonalNaive(season_length=7),\n",
     "    n_jobs=-1,\n",
-    "    fallback_model = SeasonalNaive(season_length=7)\n",
     ")"
    ]
   },
@@ -4510,10 +460,8 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th>unique_id</th>\n",
        "      <th>ds</th>\n",
-       "      <th>AutoARIMA</th>\n",
-       "      <th>AutoARIMA-lo-90</th>\n",
-       "      <th>AutoARIMA-hi-90</th>\n",
        "      <th>HoltWinters</th>\n",
        "      <th>HoltWinters-lo-90</th>\n",
        "      <th>HoltWinters-hi-90</th>\n",
@@ -4530,36 +478,12 @@
        "      <th>DynamicOptimizedTheta-lo-90</th>\n",
        "      <th>DynamicOptimizedTheta-hi-90</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>unique_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>0</th>\n",
+       "      <td>H1</td>\n",
        "      <td>749</td>\n",
-       "      <td>592.461792</td>\n",
-       "      <td>572.325623</td>\n",
-       "      <td>612.597961</td>\n",
        "      <td>829.0</td>\n",
        "      <td>-246.367554</td>\n",
        "      <td>1904.367554</td>\n",
@@ -4577,11 +501,9 @@
        "      <td>611.652649</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>1</th>\n",
+       "      <td>H1</td>\n",
        "      <td>750</td>\n",
-       "      <td>527.174316</td>\n",
-       "      <td>495.321777</td>\n",
-       "      <td>559.026855</td>\n",
        "      <td>807.0</td>\n",
        "      <td>-268.367554</td>\n",
        "      <td>1882.367554</td>\n",
@@ -4599,11 +521,9 @@
        "      <td>546.621826</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>2</th>\n",
+       "      <td>H1</td>\n",
        "      <td>751</td>\n",
-       "      <td>488.418549</td>\n",
-       "      <td>445.535583</td>\n",
-       "      <td>531.301514</td>\n",
        "      <td>785.0</td>\n",
        "      <td>-290.367554</td>\n",
        "      <td>1860.367554</td>\n",
@@ -4621,11 +541,9 @@
        "      <td>512.424133</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>3</th>\n",
+       "      <td>H1</td>\n",
        "      <td>752</td>\n",
-       "      <td>452.284454</td>\n",
-       "      <td>400.677155</td>\n",
-       "      <td>503.891785</td>\n",
        "      <td>756.0</td>\n",
        "      <td>-319.367554</td>\n",
        "      <td>1831.367554</td>\n",
@@ -4643,11 +561,9 @@
        "      <td>478.260956</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>4</th>\n",
+       "      <td>H1</td>\n",
        "      <td>753</td>\n",
-       "      <td>433.127563</td>\n",
-       "      <td>374.070984</td>\n",
-       "      <td>492.184143</td>\n",
        "      <td>719.0</td>\n",
        "      <td>-356.367554</td>\n",
        "      <td>1794.367554</td>\n",
@@ -4669,61 +585,40 @@
        "</div>"
       ],
       "text/plain": [
-       "            ds   AutoARIMA  AutoARIMA-lo-90  AutoARIMA-hi-90  HoltWinters  \\\n",
-       "unique_id                                                                   \n",
-       "H1         749  592.461792       572.325623       612.597961        829.0   \n",
-       "H1         750  527.174316       495.321777       559.026855        807.0   \n",
-       "H1         751  488.418549       445.535583       531.301514        785.0   \n",
-       "H1         752  452.284454       400.677155       503.891785        756.0   \n",
-       "H1         753  433.127563       374.070984       492.184143        719.0   \n",
-       "\n",
-       "           HoltWinters-lo-90  HoltWinters-hi-90  CrostonClassic  \\\n",
-       "unique_id                                                         \n",
-       "H1               -246.367554        1904.367554           829.0   \n",
-       "H1               -268.367554        1882.367554           807.0   \n",
-       "H1               -290.367554        1860.367554           785.0   \n",
-       "H1               -319.367554        1831.367554           756.0   \n",
-       "H1               -356.367554        1794.367554           719.0   \n",
+       "  unique_id   ds  HoltWinters  HoltWinters-lo-90  HoltWinters-hi-90  \\\n",
+       "0        H1  749        829.0        -246.367554        1904.367554   \n",
+       "1        H1  750        807.0        -268.367554        1882.367554   \n",
+       "2        H1  751        785.0        -290.367554        1860.367554   \n",
+       "3        H1  752        756.0        -319.367554        1831.367554   \n",
+       "4        H1  753        719.0        -356.367554        1794.367554   \n",
        "\n",
-       "           CrostonClassic-lo-90  CrostonClassic-hi-90  SeasonalNaive  \\\n",
-       "unique_id                                                              \n",
-       "H1                  -246.367554           1904.367554          635.0   \n",
-       "H1                  -268.367554           1882.367554          572.0   \n",
-       "H1                  -290.367554           1860.367554          532.0   \n",
-       "H1                  -319.367554           1831.367554          493.0   \n",
-       "H1                  -356.367554           1794.367554          477.0   \n",
+       "   CrostonClassic  CrostonClassic-lo-90  CrostonClassic-hi-90  SeasonalNaive  \\\n",
+       "0           829.0           -246.367554           1904.367554          635.0   \n",
+       "1           807.0           -268.367554           1882.367554          572.0   \n",
+       "2           785.0           -290.367554           1860.367554          532.0   \n",
+       "3           756.0           -319.367554           1831.367554          493.0   \n",
+       "4           719.0           -356.367554           1794.367554          477.0   \n",
        "\n",
-       "           SeasonalNaive-lo-90  SeasonalNaive-hi-90  HistoricAverage  \\\n",
-       "unique_id                                                              \n",
-       "H1                  537.471191           732.528809       660.982117   \n",
-       "H1                  474.471222           669.528809       660.982117   \n",
-       "H1                  434.471222           629.528809       660.982117   \n",
-       "H1                  395.471222           590.528809       660.982117   \n",
-       "H1                  379.471222           574.528809       660.982117   \n",
+       "   SeasonalNaive-lo-90  SeasonalNaive-hi-90  HistoricAverage  \\\n",
+       "0           537.471191           732.528809       660.982117   \n",
+       "1           474.471222           669.528809       660.982117   \n",
+       "2           434.471222           629.528809       660.982117   \n",
+       "3           395.471222           590.528809       660.982117   \n",
+       "4           379.471222           574.528809       660.982117   \n",
        "\n",
-       "           HistoricAverage-lo-90  HistoricAverage-hi-90  \\\n",
-       "unique_id                                                 \n",
-       "H1                     398.03775             923.926514   \n",
-       "H1                     398.03775             923.926514   \n",
-       "H1                     398.03775             923.926514   \n",
-       "H1                     398.03775             923.926514   \n",
-       "H1                     398.03775             923.926514   \n",
+       "   HistoricAverage-lo-90  HistoricAverage-hi-90  DynamicOptimizedTheta  \\\n",
+       "0              398.03775             923.926514             592.701843   \n",
+       "1              398.03775             923.926514             525.589111   \n",
+       "2              398.03775             923.926514             489.251801   \n",
+       "3              398.03775             923.926514             456.195038   \n",
+       "4              398.03775             923.926514             436.290527   \n",
        "\n",
-       "           DynamicOptimizedTheta  DynamicOptimizedTheta-lo-90  \\\n",
-       "unique_id                                                       \n",
-       "H1                    592.701843                   577.677307   \n",
-       "H1                    525.589111                   505.449738   \n",
-       "H1                    489.251801                   462.072876   \n",
-       "H1                    456.195038                   430.554291   \n",
-       "H1                    436.290527                   411.051239   \n",
-       "\n",
-       "           DynamicOptimizedTheta-hi-90  \n",
-       "unique_id                               \n",
-       "H1                          611.652649  \n",
-       "H1                          546.621826  \n",
-       "H1                          512.424133  \n",
-       "H1                          478.260956  \n",
-       "H1                          461.815948  "
+       "   DynamicOptimizedTheta-lo-90  DynamicOptimizedTheta-hi-90  \n",
+       "0                   577.677307                   611.652649  \n",
+       "1                   505.449738                   546.621826  \n",
+       "2                   462.072876                   512.424133  \n",
+       "3                   430.554291                   478.260956  \n",
+       "4                   411.051239                   461.815948  "
       ]
      },
      "execution_count": null,
@@ -4732,8 +627,7 @@
     }
    ],
    "source": [
-    "forecasts_df = sf.forecast(h=48, level=[90])\n",
-    "\n",
+    "forecasts_df = sf.forecast(df=Y_df, h=48, level=[90])\n",
     "forecasts_df.head()"
    ]
   },
@@ -4751,26379 +645,18 @@
    "outputs": [
     {
      "data": {
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-       "config": {
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-       },
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",
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7/1NTU+nevXtDHwIhhBBCCCGEEC1E5TWuEKJ5kiCQOvL09ASUX3peXl4OHo2oL5PJxJo1axg3bhxOTk6OHo4QjUo+/+LfTD7/4t9KPvvi36yxPv9FRUW0bt0aT09Pfv31V2JjY4mJianWLiMjA4Dg4OAqjwcHB5OUlGRv4+zsjK+vb7U2la/PyMggKCio2vaDgoLsbf7p3Xff5fXXX6/2+DfffIObm1sd9lIIIYQQQgghxL+BXq/n7rvvtt8XFUI0TxIEUkeVKXK9vLwkCKQZM5lMuLm54eXlJTdCxL+OfP7Fv5l8/sW/lXz2xb9ZY3/+U1NTeeyxx1izZg0uLi61tvtn+RWbzXbekiz/bFNT+3Nt54UXXuDJJ5+0/78ycGXq1KlyfdvMmUwm1q5dyxVXXCG/58W/inz2xb+ZfP7Fv5l8/sW/WWN9/ouKirj77ruldKgQzZwEgQghhBBCCCGEEBcpLi6OrKws+vXrZ3/MYrGwZcsWPv30U44ePQoomTxatWplb5OVlWXPDhISEoLRaCQ/P79KNpCsrCyGDh1qb5OZmVmt/+zs7GpZRirpdDp0Ol21x52cnGTyvIWQ91L8W8lnX/ybyedf/JvJ51/8m13qz7/8bAnRMqgdPQAhhBBCCCGEEKK5GzFiBAcOHCAuLs7+p3///txyyy3ExcXRvn17QkJCWLt2rf01RqORzZs32wM8+vXrh5OTU5U26enpHDx40N5myJAhFBYWEh0dbW+za9cuCgsL7W2EEEIIIYQQQgghxL+XZAIRQgghhBBCCCEukqenJ2FhYVUec3d3x9/fn8jISAAef/xx3nnnHTp16kSnTp145513cHNz4+abbwbA29ubu+66i6eeegp/f3/8/Px4+umniYqKYuzYsQB069aNCRMmcM899/DVV18BcO+99zJ58mS6dOnSiHsshBBCCCGEEEIIIZoiCQIRQgghhBBCCCEawbPPPktZWRkPPvgg+fn5DBo0iDVr1uDp6Wlv89FHH6HVapk+fTplZWWMGTOGuXPnotFo7G3mz5/Po48+yrhx4wCYMmUKn376aaPvjxBCCCGEEEIIIYRoeiQIRAghhBBCCCGEuAQ2bdpU5f8qlYpZs2Yxa9asWl/j4uLC7NmzmT17dq1t/Pz8mDdvXgONUgghhBBCCCGEEEK0JBIEIpo9m8123jYqlaoRRiKEEEIIIYQQQgghhBBCCCGEEEI4jgSBiCblxIl0XnhpPhaLlQEDOjJoQCf69++AzQapqbmkpOaRmppLaloeqal5pKXlkZ1ddM5teni40KVLKN26htOpUwipqcUcOnwarUaLxWIlITGLI0dSiT+SwunTOdx6y+XceceYRtrjpstisXL0WBoHDiTh4eFCWJgfYWH+BPh7SlCNEEIIIYQQQgghhBB1UFxcxrPP/Uh2dhFXXz2Qq6cMxMvL1dHDEkIIIYQQLZgEgYgmY/eek7zw4jxKSw0ALF26m6VLd1/0dktKytmz5xR79pyyPzbv58O1tv/m2/UA/8pAkIyMAqJjjhMdfZzde05SVFRWrY1O50RoqC9hoUpQSFCQN2r1maAQFxdnwkJ97c9pNOrG3AUhhBBCCCGEEEIIIZqE8nIjzz73I/v2JwHwxZer+X7uBiZN7MtNN15GWJifg0cohBBCCCFaIgkCEU3CmjVxvPXOn5jNFnr3juDmGy9jz95TREcfJyEhC4CAAK+KbBR+9gCE8DA/goN9ag00sNlsZOcUKZk+4lM4ciSVzMxc3NzdACVwISzUj65dw+jWLYykpBy++noN33y7Hq1Ww8wZIxvpCDS+4uIyUlPzSEnNZf+BJKKjj5OcnFOljYeHC717RWAwmElNzSUzqxCDwURCQpb9fTkXrVZDp06tGDMqitGjowgJ8blEeyOEEEIIIYQQQgghxKWTmVlAWloeBYV6Cgv1GAwmBg7oSLt2wTW2N5stvPTKL+zbr2TZvf22UaxeHcfxE+ksXLSLVavjeO8/t9Kvb4dG3hMhhBBCCNHSSRCIcLg/Fmzno4+XATBmdBSvvDwNZ2ctw4d3A6CwUI9Op8XFxble2/f19aBzp1CmXDUAk8nEihUrmDRpEk5OTjW2V6lUfPnVar78ag1arYabb7qsfjvWxJSUlLN162HWbzzAwYPJNWb50GjUdO8ezsABnRg4sBPduoah1Wrsz5vNFjIyCkhJzbWX48nJKcJmO7ON0tJy5bn0fMxmC/HxKcTHp/Dp5yuJjGxD3z7tCAvzJyzUj9at/QkM9G6M3RdCCCGEEEIIIYQQol4OHz7NPfd9ie3sSbAKffu257prB3PZ8G72eTSr1cpbby9gx46j6HRO/N97M+nVK4KbbhxO7N5TfPX1Wg4eTObJp+by2qvTGT0qqrF3SQghhBBCtGASBCIcymy28NnnqwC4YfowHnl4Imp11awe3t5ujTqmmTNGYDab+ebb9Xz62Uo6dAhh0MBOjTqGhnT6dA6ffb6KnbuOYTSaqzzn5+dBWJgfHTuEMHBAJ/r2bY+nZ+01SbVaDeHh/oSH+5+3X4vFSmZmATt3HWP9+gPE7Uvk4MFkDh5MrtLuvnvHcdvMkfXaNyGEEEIIIYQQQgghLrVNmw9hs9nw8XEjPDwAby83zGYLMbtPEBt7itjYU3h5ueLh7gKAyWwhO7sIjUbNO2/dTK9eEYCy+Kxf3w7M/qQNr7/xO5s2H+KVV3+l8Ck910wd5MA9FEIIIYQQLYkEgQiHysgswGg04+ys5dFHJqFSqRw9JADuuH00p05lsmHjQfbtS2zWQSCvzfqNI0dTAYiICGTM6J4MH9aV1q0DcHPTXbJ+NRo1oaF+XHvNYK69ZjDZOUVs2XKYU6cySU3L49SpTHJyioiNPSVBIEIIIYQQQgghhBAXqKioDE9PlyYzn9aS7Yk9BcAjD1/JxAl97I9nZBSw+K9oliyNoaCgtErmXY1GzSsvT2PIkC7VtqfTOfHmGzfx3w+XsPivaP7vg784eTKDu+4cg6+vx6XfISGEEEII0aJJEIhwqLS0PABCQ32b1AWrSqUiIiIIgIKCUgePpv7S0vI4cjQVtVrFnK8foGuXMIcd58AAL667drD9/1u3xfPc8z+h1xscMh4hhBBCCCGEEEI0HqvVyvHj6SSfziElJZfk0zm4ujgzdkxPeveOqJYZVpzb5s2HePnVX4iMbMObr99IQICXo4fUYpWUlHO0YoFVv77tqzwXEuLD/feN4847RnPyVAZWy5lyMUHB3gSe433RaNQ88/TV+Pt78u1361m4aBerVsdx6y2Xc8P0Ybi61q80thBCCCGEEBIEIhwqLbUyCMTPwSOpztfHHWjeQSCbtxwGoHevCLp1DXfwaKpyc1MuZEv15Q4eiRBCCCGEEEIIIS4lg8HEk0/NZW9cQrXnFv8VTXCwDxPG96ZH99a1Ll7ROmno3SsCnc7pUg+3yTOZzMz+dAUWi5V9+xK5467PeOuNm+wlR0TDiotLwGq10aZ1AEFB3jW2cXbW1mvuTaVScdedY+gZ1ZbPvljFsWNpfD1nLX8u3Mk7b91MVFTbix2+EEIIIYT4F5IgEOFQaen5QNMMAvGpCALJb8ZBIFu2HALg8st7OHgk1bm7KTVS9Xqjg0fieCaTmZMnMzlyJIVTCZm0bRPIqFGR+Pl5OnpoQgghhBBCCCHERbFYrLw26zf2xiWg0znRpXMo4a39aR0eQHp6Pus37Cczs4Afftx03m2Fhfnx4vPXEhnZ+tIPvAlb/Fc0aen5+Pt74u3txqlTmTz86Dc88vAkpl0/pEll220JKkvB9OvX/jwt62/AgI581+9B1m84wFdfryUtLY8PPlzC3O8elvfzIhQW6onbl8i+fYnkF5TYH1ehok+fdkyc0AetVuPAEQohhBBCXBoSBCIcqrIcTFhTDALxbd6ZQPLyitl/IBmAEZd3d/BoqnNz0wFQWvrvzQSSmprH//33L/buPYXJZKny3EefLKNPn3aMGd2Tfn3bExbmJ6lxhRBCCCGEEEI0KzabjY8+XsqWrYdxdtby0Ye307tXuyptnnh8Mtu2xbNm3T5ycopr3VZ6ej6pqXk89Mg3XDN1IBFtrZd6+E1Sqd7A93M3AnDXHaMZP74P7/5nIevW7+fjT5axf38izz17DZ6erg4eacuxZ89JAPr2uXRBIABqtZorxvZi4IBOTL32PY4fT2dP7Cn69+twSfttaU6fzmHZ8j38vf0Ip05l1tpu1eq9/PrbNh55eBKDB3VuxBEKIYQQQlx6EgQiHCotrelnAmmuQSBbtsZjs9no1i2c4GAfRw+nGnd3JQhErzdis9n+dasaNm46yDvv/klpqQEAT09XunYNo327YA4cSOJwfAp79pxizx5ltYmHhwtdu4TRtWsY3bqF07VrGCHBPvU6blarlf37k4g/ksLYMT3x95eMI0IIIYQQQgghGt5P87awcNEuVCoVr74yrVoACIBO58SYMT0ZM6bnObdVUlLO7M9WsHTpbhYtjsbbW4efXwdGj+75r5pT+OWXrRQUlNI63J/Jk/uj1Wp4fdYN9OjRmk8/W8mGjQeJP5LKG7NupEePf3fGlIZQUFDKiZMZAPTpe2mDQCp5e7tx5aS+LFy0i19/2yZBIHWg1xvYui2epUtjiN1btexUREQgfXq3IyzM3/67oqSkjD8X7iQhIYsnn5rLkMGdeeKJqwgP83fE8IUQQgghGpwEgQiHSq3IBBLaytfBI6nOtyIIpKioDIvFikbTvLIwbN6slIJpillA4EwmEJvNRlmZ0f7/ls5oNPPZ5yv5Y8EOAKKi2vDcM9fQrl1QlUmr1NQ81m84wLa/4zl2LI2SknJ27znJ7orVJ6AEKnXuHEp4mB9hYf6EhflhMpo5cjSV+COpHDuWhrOzVgkc6RpO2zYBbNiYxPc/fExWViGgrKR6/LHJjXsQhBBCCCGEEEK0eGvWxPHlV6sBeOzRKxk9Kuqitufh4cILz13L6FFR/Oe9hWRmFvLKa7/x6+/befCBCfTpXT3ApKXJyyvml1+3AXDffePsZSxUKhU3TB9GVGQbXn3tV9LS87n/wa+4954ruOnG4dXKXZjNFlatjsPZWcsVY/9dQTQXKnavsjinQ4cQ/Hw9Gq3fG6YPY9HiaLZvP0piYhYREUGN1ndzYLPZiI9PYVf0cWJ2n+DgwdOYzUqWXbVaxaBBnZkwvjf9+nWo9X27Yfpwvv9hA3/+uZMdO48Rf98XfPB/t9O9W3hj7ooQQgghxCUhQSDCYYqLyyguLgOgVRMMAvHycgOUi4rCIn2jXuhdrOLiMnu90hEjejh4NDVzcXFCrVZhtdrQ6w3/iiCQmJgTzP50hX0FyS03X859915RY+3RsDA/Zs4YwcwZIzCbLZxKyOTIkVTi41M4ciSVEyczKCgoJTr6ONHn6Xf79qNs3360xucqg0GEEEIIIYQQQoiGkpCQyX/eXwTAzTddxvRpQxts24MGdmLudw/x5ls/ELs3i0OHTvPQw3MYPrwbr792A66uzg3WV1Mz94eNlJUZ6dYtnFEjI6s93717a+Z+/wjvvb+I9RsO8MWXq1m2bDd33TmGMWN6olar2L79KLM/W0Fycg4Aq1bt5YXnryEw0Luxd6dZqMzQ2q+RsoBUat06gOHDu7J1azy//vY3zz93TaP235QdPJjMJ7OXc+jQ6SqPh4b6MWliH66c1K9OWZG9vFx57JEruXbqIF6b9RtHjqbyyKPf8M7btzBoYKdLNHohhBBCiMYhQSDCYdLSlVIwvr7uTTIAQKvV4OXlSlFRGfn5Jc0qCGT7jqOYzRYiIgJp2ybQ0cOpkUqlws1NR0lJOaV6AwGOHtAldPx4Op99sYro6OOAcpH5ykvTGDasa51er9Vq6NwplM6dQply1QAADAYTJ09mcPJUJqmpuaSm5ZGamodKpaJrlzC6dQ2jS5cwDAYT8UfOBI5oNAZuuXkcZXoj7/xnIUUVgVhCCCGEEEIIIURDKCsz8tIrP1NebmLAgI48cP/4Bu/DzU3HZcPDefqpm/hp3haWLN3Ntm3xREcfb7KLYS5WRkYBixYry0AefGB8rdk7PDxceOP1Gxk4sBNffLmK0ym5zHrjd374aRN+fh72oAYfHzf0eiM7dx3j1pn/4+mnpjB2TE8KC/Xk5hZTWKine/dwXFxablBNXeyJVTKy9m3kIBCAm24cztat8axavZd7772iWc1NXgrp6fl88eVq1q3fDygLzAYP6syAAR0ZMKBjvUu5tG4dwOzZd/Pii/OJ2X2Cp5/5gVdeup5x43o34OiFEEIIIRqXBIEIh0mrLAUT6ufgkdTOx8edoqIyCgpKHT2UC7J5S2UpmKY98VEZBKLXGxw9lEtm3vwtfPHlamw2G1qthmuvGcTtt43Cp6LcUH3pdE50796a7t3PX983MrINACaTiRUrVnD5Zd3YvVuZ9CmWIBAhhBBCCCGEEA3EZrPxfx/8RWJiNgEBXrz26vRLWl7X39+TZ56eSklJOWvX7Sc1Ne+S9eVoGzcdxGKx0qtXBP36djhnW5VKxVWT+zN6dBR//LGdX37ZSkJCFgkJWTg5abhh+jBmzhhJTk4Rb7z1B0eOpPLarN94480/sFis9u1ERrZh9id3odM5Xerda5Kyc4pITs5BrVY5pNxQr54RdOsWTnx8CgsX7uTuu8Y2+hgcpbzcyH8/XEpiUhZFhXoKi/QUF5djs9lQqVRcOakv99xzBYEBXg3Sn7ubjg/+byZvvrWAdev3M+uN33F103HZ8G4Nsn0hhBBCiMZ26a7ChDiPyiCQsCYcBOJbcaO+IL/5BIEYDCZ27jwGwMgmvvrFvSIDTGlpywwCMRhMfPf9emw2G6NHRfLz/Md5/LHJFx0A0hA8PV0BKCkpd/BIhBBCCCGEEEK0FMuW72HV6r2o1Spen3VDo2UuqFxglJqW2yj9OcKWrYcBGD2qehmY2ri76bj9tlEs+OMZ7r5rDFOvHsgv85/gwQcm4OHhQkREEF9/eT933TkGjUZtDwDx9nZDp3Pi4MFkXn/zd6xW63l6apliK0otd+4cap9HaUwqlYqbbhwOwMJFuzAYTI0+BkdZsnQ3y1fs4dCh05xOyaWoqAybzUbfvu35/ruHePGF6xosAKSSk5OWWa9N58pJ/QBYsGBHg25fCCGEEKIxSSYQ4TCVQSCtWvk6eCS1862YrGhOmUB2RR+nvNxESIgPnTuHOno451RZBqilZgLZE3uK8nITQUHevPnGTbWmanUETy9l8kIygQghhBBCCCGEaAgnT2Xw3w+XAHDvPeMaNXNCmD0IJL/R+mxMefklHDiQBMBlw7tf8Os9PV25844xNT6n1Wq4684xXH/dEMrLjfj5eeDkpGXv3lM8/uT3bNp0iM+/WM3DD028qH1ojvbsUUrB9HNAKZhKI0f0ICTEh4yMAjZsOMDEiX0dNpbGYrFY+f2P7QDccvNlDB3aFW8vN3x83PDz87ykfavVam6/bRTLV+xhT+xJ8vKKL3mfQgghhBCXgmQCEQ6TVnFh3pQzgVRmbMhvRkEglReow4d1bVJBBzVxc2/ZmUC2bYsHmuZ74enhAiiZQM5O9SqEEEIIIYQQQlwoq9XKe+8vxmg0M2RwZ2695bJG7b8yE0jlgqOWZvvfR7BabXTpHEpIiM8l6cPb243gYB+cnJQ1g336tOelF64D4OdftvLnwp2XpN+mbE9FJpDzld+5lLRaDeOu6AXA3rgEh42jMf29/QhpaXn24KU+vdvRvn1wowVjhIX50b1bOFarjY0bDzZKn0IIIYQQDU2CQITDVF6YhzaDIJDmlAmksrxHcLCPYwdSB+4tOBOI1Wpl299HABjeBOuHnp3GtKUG4QghhBBCCCGEaBwrVu7l4MFk3Fydef65a1CrG3fKMSxMmVtKT89vkQsdKkvBXHZZ484vjBvXm3vvuQKAjz5eyp7Yk43avyOlp+eTnp6PRqOmZ8+2Dh1L9+6tATgcn+LQcTSW3377G4CpVw/E1dXZIWMYO7YnAOvW73dI/0IIIYQQF0uCQIRDWCxW0jMKAAkCaWjl5Up9UBedk4NHcn4tORPI0WNp5OQU4ebqTN8+jksbWhsnJy0uLspnRErCCCGEEEIIIYSor6KiMj7/YhUAd94xhsBA70YfQ0CAF05OGiwWK1nZhY3e/6VUVmYkOuYEAJdfduGlYC7WbTNHMm5cb6xWG4v/im70/h2lMutGt27h9nLGjtK9WzgACQlZlLbAhVRnO3osjb1xCWg0aq67drDDxjFmdBQqlYp9+5PIympZv1OEEEII8e8gQSDCIbKzizCbLWi1GgIDvRw9nFo1zyAQIwAuDoqUvxBuLTgTyNatSimYQYM64+ysdfBoaubhoWQDkSAQIYQQQgghhBD1NeebtRQUlBIREcj06UMdMgaNRk2rEF+g5ZWEiY4+jtFoJrSVLx06hDR6/yqVimuuHggoJYit1paXaaUme/cqQSB9erdz8EiUIKfgIG9sNhtHjrTsbCC//65kARk1MpKgoMYPKKsUGOhNr15KBpj1Gw44bBxCCCGEEPXVNO9Mihav8oK8VYgPGk3TjUXyrQgCyW9GQSBlFUEgri5NPwjkTDmYcgePpOFt26YEgTTFUjCVPD1dyMkpoqREgkCEEKIpmf/zFrZvP0pIiA9hYX6EhfnTM6otrVr5Nmg/FrOZOZ/cRklOKi6e/nj5tyIguD39B19DUEjDTnaXlBTw3UczMJWX4uoVgLd/GIGtOjB4+A14eQc2aF/pacf55YuHwGbF1TsQn4BwgsO6MOzym9G5uFVrH/vXYg6tXYNXUBA+YeH4hoUR3iMSv9atz9vXof0bWfXrG6i1zrj5BOEbEE5Y2ygGD5uORtuwl1pbN81j16o5aF3ccfcJwi+oDRGdBtBvwFUN2g/AkgXvcmz3KpzcvPD0DcY3qC1do0bRrfvwi972oXVr2LN4EV6BQfiEhnL4+CZKylNxCfLFy68VfsER9Oo7kbbtejXAngghhLjUjh5LY9HiXQA8+cQUtFqNw8YSGupH8ukc0tLy6dfXYcNocPZSMJd3R6VSOWQMPXq0xs1NR0GBnuPH0+nSJcwh42hMcfuUIJDevSIcO5AK3bu3JjOrkMOHU+gZ1cbRw7kkcnOLWbtOKb9y4w3DHDwaGDO6J3Fxiaxbv5+bbrz482AhhBBCiMYkQSDCIdLS8wFo1YRLwUBzzQSilIPRuTSDcjD2IBCjg0fSsNLT8zlxMgO1WsXQIV0cPZxaeXkqmUCKJBOIEEI0GYsX7+Kzz1dVe9zdXcfihc/h7u7SYH19+787KE2KRwUYSovIzkgg+9B2Dm75jac/2IFa3TCBumazkTn/dyPW/CwAyooLKEs9Qcb+zRzc+RdPvrm2QfoBKCnO46ePbkdjUL7b9EV56E8fJW3veo4d2Mj9T82v0v7whvWs/OD9atvRODvz0G9/4BlQe4BKasoRln//LBqLBStQUpBNSeIhTu9eTWrSAabPfLfB9utA3Fp2LvwQNWDRF1OUl0HRqf0k7lxGSVEuI8bc3mB9rV89h2Nb/kAFmPXF5Oekkn88lpN/L8LpkS/p2Glgvbd9KnoXf731JjaL5R/P2FB1SyE36zS5R6I5suUP7n9zNV5eARe1L0IIIS4tq9XKfz9cgtVqY+yYnvTv18Gh4wkNVQJmU1NzHTqOhmQ2W/h7+xHAMaVgKmm1Gvr2ace2v4+wK/pEiw8Cyc4uJDU1D7VaRc+ebR09HAC6dw9n46aDHD582tFDuWQWLd6F2WwhMrIN3bufPyD7Uhs1KpKPPl5KfHwKKam5hIf5O3pIQgghhBB11nRTMIgWrTITSFhow65obWg+vkoQSFFRWbNJd1nenDKBuCtBIKWlLSsTyLa/lSwgPXu2xdu7+orjpuJMOZiWdfyFEKK52rnzGP/9aCkA114ziPvuHcdVk/vj5eVKaamBPbGnGqyv3396ieLEQwD4du6PX5cBOAW1xgpozCaOHtneYH19+8mdWPOzsAIhPUfg07EPGj8llbm1MJeS4oZJ2V4ZbKIxlGFRqQjvNw6v9lHgqZxvFqUcq3I+l3LgAEvefhOAnhMmMer+B+h91RTc/fyxGI2c3LWr1r6KinKY/8mdaCwWLFonwvuNw6Ntd6yuyrnj6aO1v/ZCpZyOZ+XcF1EDNjdPWvUejVt4FyxOyrne4d0rG6yv/XvXELv8C1SAxi+E4KjLcQntgEWjQQVEb/293tvOOnmSP195CZvFQtcRI2kzph/qADM42QAVri7t0IVEYFGp0NhsRG//s6F2SwghxCUSHX2CgweTcXN15pGHJzp6OIRWLDRKbUHlYPbvT6KoqAxvbzeiIh2b/WHAgI4AxOw+7tBxNIa9cYkAdO4U2qBB2BejMiji0OGWWQ7mcHwKC/7cAcCN0x2fBQTAz9eDfhXBbevXS0kYIYQQQjQvkglEOERlEEhoU88EUnED32KxUlxc3qRv6FcqK1Mygbi4Nv0gkJaaCWTbNmWVzmXDHbdKpy48KzKBSDkYIYRwvOPH03n5lZ+xWKxMmtiXp56cYk/37eSkYeGiXcTEnGiQFaDrV88hOWYlKiCg+xBuu/8z+3P/fWk0FBcQt+uvBin98dsPL1CSpKQw7zbyJiZf+wygrBz+4KnBaCxmdm3/kzHj77novr75+A6sBTlYgZE3vMTAodcCSnaQL14ai8Zi4eTxGDp1GUR+agp/vPAcFqORTsOHc+XzL6DWKOnrN38zh20/fE9CTDS9r5xcrR+z2cg3/3czGkM5FpWa6x/8nPYd+wEQf3gbK758FGtxAXp9IW5uF1fHvKgoh5//dxcaqwWLkzN3P/Mzfv7Kyts1yz/jwOpvKc5MvKg+Kp1OPsSqH15EA9g8vHng+QX28jnzv3mCjP2bST8VV69tF+fk8NuzT2PU62nTuw/tpgxl/bxXcW4NBPpRHl+EnyaMm1/8hM/+cz3laac4cWAzYyfc1yD7JoQQ4tKI3asEqI4Z05PAwIv7zmsIYRVzTGlp+Q4eScOpLAUzbFhXh5baARg4sBOgBKaUlxtxaQaLj+orLq6iFEzvhi2ReDG6dglDo1GTk1NEdnaRo4fTYCwWK/Pmb+Gbb9dhsVhp1y6Iyy9vOvNpV4zpSUzMCdav389tM0c6ejhCCCGEEHUmmUCEQ6Q2kyAQJyctHh5KxH9+QYmDR1M3BoMSUOGia/rlYCpXU7SkTCDFxWX2ibDhw7o6eDTn5umpHP9iKQcjhBAOlZ1TxDPP/Yi+zEjfvu157tmpVeq9V064R0df/KrLA3Fr7ZkenIPbMOPe2VWeD2nXC6DeN/vPtn7VV5zesxpQgk0qA0AA1Go17sHKatbjBzdddF+/zn2O0mQlE1fkmBn2ABAAD08/VO5eAOzdtZiyoiJ+e/Zp9IUFhHTpytRXX7cHgAC0H6iUO0ncvRtbDZng5nx0G7ZCJdhk1E0v2wNAALp0HYpFo0ENxOxYdFH7ZDKW883/3aQEm6iVYJPKABCAQcOmYUPJ3HLqZOxF9VVUmM0v/7sHjdWKxcmZu56ebw8AAeg5QAmGsRblUVZ+YefExrIyfn/+WYqyMvFv04YhD9zGup9nKReiHj7c9MwnACTv34fJYKBD98uUMWU0XOYbIYRoCKmpeXz2+SoOHWq5pRgu1IGDyQBERTWNchlhYZVBIC0jE4jNZrMHgTiyFEylNq0DCA7yxmSyELcv0dHDuaTi9lUGgUQ4diBncXV1pn27YADi41tGNpCMjAIefvQbvvp6DRaLlTGjo/jis/scHvB0tssv74FWq+HEyQwSEjIdPRwhhBBCiDqTIBDhEM0lEwiAj4+S1rugoNTBI6mbykwgrs0iE4gyRn2ZwcEjaTg7dx3DYrESERFI69ZNu459ZSYQCQIRjmKz2Rw9BCGahP/8ZyFZWYW0bRvIO2/dgpNT1WR9ffu0R6NRczoll/T0+q9sNRnLWfnjy0pZEQ9v7n3qZ9TqqpcDPftPAsBSmIuhXF/vvnJyUtiz8mtUgC6kXbVgE4D23ZQ0z0VpJ+vdD0D8wS2kxK4FIChyOBOvfqJam6CISABST8Sy5pOPyE1Oxis4mOn/eR9nV9cqbUO798DZzQ19YQEZx6sG3qxf9RX600cBJdhkwOCpVZ5Xq9W4BoYDcHT/hovarz/mvYytMBcrMPqmV2jfoW+V5719grC5eQAQu/PiAk7mf/kwGqMSbDL9oS/x9Qut8nyPqFFY1GrUwJ6df13QtjfN+YqMo0dw8/bhhvc/4K/5z1cEm+i485mfadWxM56BgViMRk7vi2PgsOuV4BaTkdPJhy5qv4QQoiEYjWbm/rCRW2Z8zPyft/Do499yuIXcgL0YJpPZfiM6KsqxZUoqtaqYYyos1FNS0vwXm2RkFpCRUYBWq2FgRSkWR1KpVGdKwsSccPBoLp28/BISE7MB6N0rwrGD+Ydu3ZTzzJbyO+i5F35i375E3FydeeWl63nj9Rvx8nI9/wsbkZeXK716KYFuEgQohBBCiOZEgkBEoysrM5KfrwRUhLbydfBozq85BYFYrVYMhopyMC7NIBOIm5KJoiWVg9m2TVmFPHxYNweP5PzOBIE0/8kx0bwYjWa+n7uBcRPeYM43ax09HCEcam9cAjt2HkOjUfPeuzNqnPT08HChR0UN8OiLmHBf+ud/0JhNWFQq7nxqXpVMD5W6R551sz96Sb37WjTvZTQ2GxZnHfc8Pb9asAnAgMpMFiYjKafj693Xqj/eRQWofQK45e6Pa2wTVRHcYszI5eDaNQBc9+bbeAZUD9jUaLW07asEXCTE7LI/bjGb2bPuBwA8I3rUGGwC0K7rUAAKUuv/XhUVZpOyb6OyvYFX0n/Q1TW2C2yjrApOOb6n3n2dOrGH0lQl2GXI1MeJaN+7Whu1Wo2LvxIYcmTf+jpvuzAjndjFSoDKlFde5eDxTVBcgA247v7/4esbgkqlot0AJftKQkwMfv5h2FyU8+/d2/+s934JIURDiI09xczb/8fXc9ZiNJrx8nKlrMzI08/MJTk5x9HDc6hjx9IxGs14e7vRpoksgHB309nncNLSm382kKQkJRChdbh/kym98m8IAtlXkeWkQ4cQvLyaVlnoHj2Ua4L4+FQHj+TiFReXcfx4OgDfffswEyf2rZINsSkJqih3ld8M5oaFEEIIISpJEIhodJUX4p6ervab0E2Zr29FEEh+0z/RLy832f/dVCYIzsXNTQe0nHIwFouVnbuUmyjDhjbtUjAgmUCEY+zec5KZt/+POd+so7TUwNKluyUjiPjXstlsfP21EpAw5ar+tGlT+w2UMxPu9SsJU6Yv4kT0cgDCeo6oUlbkbBqtFhf/VgAcjltTr77SUo9ScGo/AH3GzETn7FJju4CAcGwVgSgx2xfUq689MUux5mdiAyZMf7nGYBOAnr3GYVGpsKZpwGaj26jRhHarPa16u/5nghIqrVzyERpjOVaVimtnvlvrawcOvR4AjbGc9PT6ZTlZOP9VJYhG68TV01+qtV2PvuMBMOZnYjbXL6h22a9voALw9OWykbfW2q5tl8EA5KUcrfO2t879HovJRETffrQbMJCdK78CwD28Cx06DbC3az9A+fepmGgA/Ft3ASD5WPSF7IoQQjSoxKQsHnviO5KTc/Dz82DWq9P5849n6NoljIICPU889T05OUWOHqbDHDiYBEBUZJsmdeM2LLTllISpDDQ61zliY+vfrwMAJ05mkJtb7ODRXBp745RSMH2aUCmYSt27V2ScO5qG1dq8r6MTK4KcAgO9mtRnvCa+vkr2vfxmMDfsaGVlRv78cwczbvsfM2/7H2vW7sNaQ4nNhpCTlcQPXz7E+08O4v+eu4zN6+dekn4AkhL38/VHM3n/iQH896Ux7N2z4pL1dWj/Rj599zref2IAn7wxmRPHa78mMhsMxC1fxrd33cFXt97M3qVLsJrNderHarWyc/uffPzaRN5/YgBfvH9jva9fz8diNrNu1Vf898VRvP/EAL779F6KCrMvSV+Gcj1LFrzL/z07nPefHMRvP7xwUVlOz2Yxmzm4dg1z77+HL266ga3zvufX757l/aeH8P7TQ1m+6AMsdTz+QgjRGLTnbyJEw0pLU9KYhzWDUjBwJhNIc4j2LjecCQLR6Zr+j7e7uxIEotcbsdlsTWriqD4OHz5NcXEZnp6u9tUZTZmHh3JTToJARGPIyCjgy69Ws2btPgD8/DwoLi4jJ7eY5NM5tG0TWOtrzWYLH3+yjLVr92E9K2CkdXgAd901hqFDujT73x9NWWZmAUuX7SY+PoWi4jKKi8ooLimjd692vPXmTXLsL8LOncfYtz8JZ2ctt9826pxtBw7sxLffrSdm90ksFisazYXFci9d8C4aiwWLWsM1N712zrZtuwzhRPYC8lOOXVAflf6a/xpqwOrqzpjx952zrX/rruQfjyX5aP1u9m9a/DEAzkGt6RZ5ea3tNFotWk0ApsJiUMHld919zu22r8hMcfrAfkzl5VjVcHjbAjRAUNdBBASE1/raoJB2WHSuaAxlxGz/gynXPX9B+5STnUz20WjUQI/LpuFUSxANQO++E9n0y1tobDbiYlfTf+BVF9TX4YObMWadRgWMvvapc7YdMOw6TmxbgNpQRnZWEoFBbc/ZPjc5if0rlcnRkffex/rVX6EuK8UKTL31jSptI/opQSBZJ09QkptLt97j2H48FkNuOhazGY226Z/XCiFanvXrD2CxWOkZ1Zb/e3+mPYj+gw9u4/4HviIlJZcnn5rLZ5/e0ywWuDS0/QeUIJDIyHN/HzS20FBfDh0+TWpq8w8CqcwE0rZt7ddKjc3X14POnUM5diyNmN0nmDC+j6OH1OD2xSUC0Lt3O8cOpAYRbYNwc3VGX2YkN7d5z+UkJWYByj41dZULBPMLShw8kqYrO6eI33/fzpIl0RSfVY5r1uu/8fMvW3nwgfEMHNCpQfo6cXQX8dFfcGx9FmpAA2A2sfuv/7F7/Q+Mvu4Z+vSb1CB97YlZytYVX2LOTUdV2VdxPht+eJktyz7jyptfo2OngRfdj9VqZcv6uezZNA+KC6CiL3NOGotn3497eGemznibVq2UQDx9QQG7Fy5gz6KF6AsK7NtZ8f5/2PXbL4y69346X3Z5jfM1ZrORVUs+IX7nX6grgiM0gD7lGPPenYZ/5/5cP+NtvLwv/runTF/E0gXvkhi3AY3ZZO8r/9huvnx1Im37jmXqDa/WmKX0QuXnpbHk97fJPLILjdVqX/2esmc1n+xbT/fh05g45Yl6XVuWl5QQu3ghuxf+SXH2meCVLV/NQeVsRdvKjNrXypGNP3No+yIGT7yPy0fPvOh9EkKIiyWZQESjq1yNERra9EvBAPg2pyCQMmUFqIuLU60rYZuSykwgNpuNsrLmXxLm7+3KythBAzuh1WocPJrzq5yobAm1koVjWK1W8vJL7GWoalJcXMZnn6/ixps/ZM3afahUKq67djC/zH+CqEildnhs7KlaX2+xWHnn3YUsXLSL4pJySksN9j9HjqbyzLM/8vAj37SYmsi1sVqtbN0Wz8efLGPZ8j1kZRVe0r5KSsrZseMozz7/E9dN+z+++34DO3Ye49Ch0ySfziE/v5SNmw5KTeQLYLFUXf1ktVr5ao5SDun664YQWJFiuDbduobh4eFCcXEZR4+l1drOYCxn68afqqy2MhpKSN2/CYD2Aybg5nbuvvoPvRYAVbmenOzkc7bV66t+FhNPxVFaETwyZOL95z0f6dZ7rDLuipv9tbFardX62r7lVyjOxwZM/kdgi9ViqbYNVbpSKk8dqCKgbUStfZmM5bgH+uMVHIzFZCJ5XxzLFrxbUUpHzTU3v37OfQLwDVMmOBPjd5yzXVl5SbUMHovmv4LaZsPi7MKEqx4/5+udnF3Q+iiTc4f2rDxnW72+sNoqvNUVpXQ0vsHnnSgNDeuCxVmHCoj++48qz/3zeOv1hWz+Zg42q5VOw4cT0qUre9f/CIBvh160Cq06Aezu60twp84AJOyOoe+gKVgBjc3GgX3rzjkuIYS4VDZvPgTAlCkDqgR5+Pl68NF/78DPz4MTJzN4/4PFDhqh49hsNg4cUM4RevZs4+DRVBXakjKBnFZuNLU5R8C8IwxswSVhiorKOHEyA4DevSIcO5gaaDRqunZVMvqlpTfvgITKTCBtI5rW57smkgmkdkajmR9/2syNN33I/J+3UFxSTliYH088Ppn77h2Hu7uOY8fSePyJ73nzrT8uKhNsfn4GX/33VpZ//ShOxUoAiEXnSofh1+LRtjtWgJJCNvzwMnM/v/+i9is15Qj/e/MqNv30GpaKABCbhzddR92MU1BrbIA5N53Fs+/nrz/euai+jhzexkevXMGepZ/aS2eqfYPpPmYGePmh4kyAxraNPxOz4A8lC8X336EvKMArKJjRDzzE2IcfxdXbm9ykJBa89AJ/vPActn9c/0VvX8iHL4zi6KZfUJfrsQK6kHZ0G30rVhc31FQEaLw2kWNHz30tey5Wq5U1yz9j9ktjOb17NRqzCatKhWdEDzoOvx6L1gmNzUrKnjV88tJocnLqP6dnNhv58+fXmPP6VeQc3oHGasWiVhPQfQjh/cZjUavRmM0c3fQLH70yFoOx7vPgNquVuOXL+PLmG9j41ZcUZ2ejdtGiCTGhDTeB1obNqMaU5IwtzR+LDWUxyOKPmf3ONfXeJyGEaCiypEo0ulR7EEjzygTSHMrBlJWfCQJpDpRgFRVWqw293mAPCmmuduxUgkCGDOni4JHUjVfFRGaRZAIRFyA7p4iYmBNEx5wgJua4fRLE2VmLl6crnl6uFX+74e6uY8eOoxQVKZ+xvn3a8fBDk+yTVn37tid2bwKxe09xzdRB1fqyWq289/4iVq3ei0aj5uWXrqdHdyXLjtliYcWKWH7/Yzt74xK4+57PGTmyB7fNHEWXzqGNdDQuXuUN2dpulJvNFjZsOMCP8zZz6lRmlefaRQTRp0872rQJJCzMj7AwP/x8PaktMYfNZiM7u4iU1DxSU3PJyMinoEBPcXGZkuGjuIyiIj0lJeXVUgv37duesaOj8PXzxMvLlT/+2M6mzYdYsTKWyMimNfHflFgsVrbvOMrixbvYues4nTu14qEHJ9C/f0c2bTrEsWNpuLnpuPWW2jNYVNJqNfTt054tWw8THX2c7t1qzkTx16+vc3r3aqLXfs/Y65+le9QYko78hcZmxaLVctW02kuLVAoL74rFSYfGZCBm+59MvPqJGtvN/+YJMvZvRhsQylU3v077jv1Y+ssspbSIhw/DR95y3r76DpjCtj/eR2OzcujABnr2GVdjuy/ev4GytJO4h3fhupnvEBDUlr9XfI4acAvrSPsOfbFZrSTsjiH2r8Uc+3sb/uGtGXX/A3QaNpzEPXvQp+SByoY2sJz8vDR8/Wr+XfHJrInYSgrRuitlcY5t38rJ5BVogPBeI+u0IqprrzFEn9pPeU4qVqu1xp9xg7Gc2S+OBquViL5XcPWNr5GbnUTBqQOogX5jb6vTKqXwjv1JjllBdtKhWtukpx1n3ns3YtNoiLz8RiZMeZy9e5Zjzc/CBoyf9sJ5+wHwDu1ISeIhEuJ3YJtq4/S+OGL/Wkz8po14BQUx8p77MHgaWDvnNcxHdaCCEXfdy8olH6IxGrCqVEy95c0at91+wAAyjx8jYXcMUeMnoPEOwFaYw4E9K+jdb0KdxieEEA0lJTWXEycz0GjUDB9WvdRnWJgf7783k/vu/5L16w8wdkwvRlxee5mxliY9PZ/c3GK0Wg3dutaeHcsRKrPOplZkoW3OkpKUcjDnyproCAMHdGTe/C3ExJxoEVldz7ZvfyI2m422bQPx8/N09HBq1L17a2L3JpDe7INAlEwgTe3zXRP7AsH85n3MG9rf24/wyf+Wk5KSC0CPHq2ZOWMkQ4d0sWeuvHrKAH74aRMLFuxg5aq9jBoZyfDh3S6oH4vZzJIF73B85xI0VisqwOjiwWWT7mfo5Tfar7UST8WxZP6rmLJTyDkSzaH9G+nR89wZN/+prLyEBT++SMbBbagBG0rWyVGTHyaq9xVKo2ue5kDcWtb88R9Uxfkc3fYn2SNuOW+mxH8qLMjit++eoijxECrACni26ca4a56ifYe+AEy8+gm2bZrP9uWfQ46Bze/OhjIVrcIj6TR8BEFREbQb3R9nD2VOvdeVk9n5y3x2/voLx//exv5VK+k16UrSUo+y4PtnMWWdRgNYVSoCuwxg4rXPEByiZBeZMOVxVi/9hAObf0FjNrP0x5d54s21F7zQ9MjhbSyf/xoU56MBLGo1rXuP5sprnrFfSxumPsmS394iYfcqNCYjf3z3DA88+8sF9QMQs3MRG//8AI2hTOnLyZkug6cw4arH7dlFiq55ikXzXyUrfifq0iIW/vwqN93+/nm3nXroEKs/+ZD0+HgCgzvTc9S1ZJUfItu4F6PVgtXVnX43Tccj35Md8+dhzCpl0IQ7OVG4g5LkeIwZSWxY8w2jx507C6kQQlxKEgQiGl16xYV4swsCaQaZQAzlymp8FxdnB4+kblQqFW5uOkpKyinVG2jaFUDPLTu7kOPH01GpVAwe1DDpDS+1ytVsxcVlLW7iRjSs7JwiNmw4wLr1+2vN/GA0msnJLSanhrrQ7doF8dCDExkyuHOVz1mfPu2B9ezdm1DtM2iz2fjvh0tYtnwParWKWa9OZ8yYnlW2++ADE7j2msF88+06Vq7ay6ZNh9i06RBDBndm5oyR9GqCK7cATCYz0dEnWLdhP1u3HEaj1dC/XwcGDOhI//4dKC01EB+fwpEjqezefYK0dOV7081Nx+hRkSQkZBF/JIWExCwSKlLoXgre3m6MH9ebqVMHVkvRa7FY2bT5EOvW7+exR69Ep2sewYeNwWKxcvRoKtt3HGX58j1knpW15eixNB59/DsGDexkD4q96cbh9nON8xk4sCNbth4mJuZEreVjyvRFWAF1SQHr5r7IpoBQrDlpaIBuw65Hd47SImfzDu1ASdJhTh7eBrUEgWSdPgIoKWoX/u8eXELaYchMRgWMmFrza/5J5+Jmv9m/b/fyWoNASnNSKlLUHuWHd6/DJagNan0JFhsMH3oXf//4A/tWLic/5cwKopykRP544Tla9+qFoVRJc6sOtKF2hujtfzJ+8iM19mUrKUQNmKyZgDN7V/+FrrMFi0bDNTe+Wqf96j/oanYu+giN1Ur8wc01Tj5mZZxEU5H95PTu1XwStwGNq0dFKR0PRo27p0599RtyDckxK0BfTFFhdo1BKieO7UJts4HZTPyGeRzavlA5HoAuuM05S+mcrXPkSHbHH6b4QApf33YrOQkJ9ucK0tJY/Ppr6AI8segrsq74WJg3934s+iKllE63wbWW0mk3YBA7fp5PQkwMNpuN0A59SI1dS2bigTqNTQghGtKWzYcB6NO7HV5eNaco794tnFtuvowff9rMB//9iz69I2pt29IcOKhkAenSObTJnQeGhbWMTCClegM5OUUAtGnTtGZLoqLa4uysJSe3mISELNq3D3b0kBpMXJxybtMUs4BUqlwYkZbe9OcpzyUxUckEEiGZQJqlr75eww8/bgIgwN+TBx+cwPhxvavNLfr4uPPYI1fipNUwb/4WZn+6gkGDOuHkVLfbUkWF2Xz19jWoy/XKTX6tE/3H30NxeSCDhk2qEqAQ0b43j76yhI9em4g1P5NVv75Jt8gRFxTE8NmsK1Hpi+3lTcde/zx9BlxZrV1U7yvoFjmCD58ficZYzh/fP8ODz/1e537Kykv46vXJaCxmVIDKO4BrZ75Nh04DqrUdPvIWzIl6/v72ewDadx3GoKF3oEIFuZD6xyl0AS64t/PCq7sfI++5D527Bxu++IyNX32JZ4cQ/vz8XtQ2GzbAJaQd0+583x78UUmtVjPx6ifo3H04C2ffh7o4n41r5jBmwrlLvJ5t966/2DT/dXtQi2+H3ky/4328vKp+j+mcXZg24y22te7GroX/pTTlKIcPbqZ75Ig697V80Qcc2fizPaglrNcorrv1rWpzHl5eAdz2wOcsmP8KSbuWc3rvenKuTCYgsPYFTftWLGfZu28D0LbjQAYPvwuNWks7hgJQpi4kpGcHfHsGoNKo8AwIYNl/3iHuz7944JffmD/3cYoTDrJ79TcMG3lrnedhhBCioUkQiGh0mZkFAISE+Dh0HHXVnIJAKjOBuDaTIBAA94ogEL3e4OihXJSdu44DykRg5cVhU+fhoZyAWixWystNuLo2n8+NaBxHj6Ux+9MV9iANUIK3unYNY+CAjgwc0JEePdpgMpkpKi6jqOhMNoni4nKKivS0auXLqJGR9lUgZ+vRvTXOzlry8kpISsomIuJMoMFP8zazaHE0KpWKV16eVi0ApFJIiA8vv3Q9N900nJ9+2sy69fvZsfMYO3YeY+aMEdx/3/hLc3Dq6cefNjN//uYqNXIBNm46yMZNB2t8jbe3G9OnDeX664bYg7eKisrYvecE8fEppKbmVfzJRX+e0lqenq5K1pBQP0JD/fDz88DTsyJ7S8UfLy/l73NN6Pft046QEB8yMgrYvOUw467odYFHovnJzy8hM7OQ4GBvfHzc7ZNbRqOZk6cyiI9PITb2FDG7T1J8VoYlLy9XJl/Zn9Gjo1izJo6Fi3axK1r5zvD2duPGG4bVeQyVNZQPHEyuNYPWbfd/VrEC6hVM2amYKwJALM46Jl39ZJ376hQ1kr1Jh9FnJdeaycJaUcbEotGgsVgwZCSgAtS+QfQfeFWd+2rVoTdpsevISjhzs7+sqIiC9DQ8AwJx9/MDq1JuxKzSoC61oj+UirXECZvemaUvninPonN3J2r8RCLHT+DY1i1E//4rp/ftA8DJxQX3XgGU55zg5KGtUEMQiNlstNfLtPmoABu2Uis2E3QYPAlXN6867ZOrmxdqT18ozmdfzLIag0DKSpUAIStgU6mVGsnFStDXsCsfrPNkZfuO/bBotWjMZqJ3LGRsDZN05WVKgJ5FpUJls9lrP9uAK298lfKSEvJTU/Dw98fDP8D++baazeQkJ5EeH0/yvjhORu/CmKt87nJIwMnFhR5jr6DXlZNJ3LObHT/Px5BTDBXr5rStzFCUp3wGz1NKp3VUFFpnZ0pyc8hOOEXfQVeTGrsWW0khJSUFeHj41Ol4CCFEQ9i0RcmuNGJEj3O2u+P20WzZepjExGw++d9yXnl5WmMMz+EOHEgCIDKq6WWEq1xwlJ6ej8VirfE6pDlITlZukFeerzclOp0TPaPasnvPSQ4eSm5RQSB7K4JA+vRu5+CR1K57dyWgNidHj77MgLdT0wrEqguDwUR6xWKHfy44aIp8fc/MDcsiKti3L5Eff9oMwM03XcYdd4zG/TzZnW+7bRQrVsZyOiWXPxbs4OabLqtTX17egWhd3DCX6wntOYLrb30btcaJFStW1Pqaq2e8xZ//uwd1SQHrV33JFZMerFNfhnI9Kr1y3dRuyFSunvbiOTMzarXODJ/yKDsWvI8+9QQH928gsufoOvWVeCIWjcWMFeg3+cFzZovIOnmSHT/8BEDnvsPp1+s2VKhwCXXHWmbGmG/AkFOu/MkuI/DyMAZcP429SxaTn5rKpm+/VMqNqtWMueU1+g0497V6h04D8GkfRdGpA+xZ8x3DR86wZ9U4nyP7N6ICLM4uXHvfx3TsNPCc7YePvIWYjT9hzc9i5S+v0/XNdXW+Dk48slP5h6cvtz78Na1adThn+6k3vMKHe9dXBO08ywPP/lpju4K0NFZ//CEAw6bcSdvAYWCDnJIjaJ098HEOx9XqTWFcDsbsMoJGhdNz4iR2L1pIxtEjbP5mDtPufp85syajMRlZOP8Vbrrj/+q0T0II0dAkCEQ0uspABXf35hEB6duMgkDKy5RMILpmUg4GsN/AKi1t3kEg27crq6GHDOns4JHUnaurMxqNGovFSnFxmQSBCDuz2cJP8zbz3fcbsFiUciVRUW0YO6Yno0ZGEhBQ9Saos7MWd3cXWoX4XlA/zs5a++ThnthT9iAQg8HEz79sBeCpJ69i/Lje591Wh/YhzHrtBu6+eyxffb2G9esPsGPnsSYVBGI2W5jzzVosFisB/p6MGhXJ2DE9UalURMccJybmBAcPncbN1ZmuXcPp2jWMbt3CGDigU7Wb/V5eroweFcXoUVH2x2w2G2az5ZxjqOtqm/NRq9VMmtiX777fwIqVsc02CGTz5kPk55dUBL+44e7hgsFgUgKaivTk5pVw9FgqR46kkpFRYH+dm5uOsDA/NGo1J05mVDvuHh4u9O/Xgcsu687oUZH2gJru3cK5/vohfPX1GrZsOcxDD068oPOhsDA/Qlv5kpaez964BIYNrZ6eHipXQC1l754VrP/z/7CVFDJwwn11Ki1SaeCQa9mz7HM0Fgsnj8fQqUsNJZssJtRAz1G34uruza5Vc8BYzqQbXq5xmyd37aQgLQ1XLy9cPD1x8fTEbDQS7NyB5NyN2DKL+ePl58k+cZL81FT765xcXTGhxqxyRmV0xlyRPUNhwcnVlYi+/eg0bDg9xozF2U2ZoArr3p1+11zLlu++4eCa1Yy46x6KvAvYv/IEJZlJNY6xtKTA/u/731zOnDtuxZBTgrnclcnX161kSqWQ9r3I2LeJ9IR9NfelV/qyaTTcP2sFC356idzju3H2D2Po5TdeUF8ewRGUpZ7gxIHN9iCQpL2xZCcm4OrpRXb8CaylKtC5c/nER9i+ei6G7CycnAJY/cr75J1Otm9Lq9PhGxqKk6sb2adOYir/R81kNajdLfhFdeG2Vz7HxUMJfg2PjKLPlKuZ89RtlJ7IQdfek6lPv8Wy+bMw5WXQZdi11VaAnU2r09Gmdx9ORe8iISaGAdOm2wOMYnb8yagr7rqgYyKEEPWVk1PEwYpMF5dfdu6U9TqdEy8+fx33PfAVK1ftZcyYngxtJuVBL8aBA8rxiWqCZQEDArxwctJgMlnIyi684GuUpiIpSQkCaaqlMsLD/dm956R9oVdLYDZbOH48HYCePSMcO5hzCAz0JjDAi+ycIk6cyKBf346OHtIFS07OwWaz4enhgp9f019IVblA0Gy2UFJS3uQCsxpTebmRt9/9E5vNxuQr+/HwQxPr9Dp3Nx333zuOd/6zkO/nbmDChD741XER3fV3f4RGoyU0TPl+NZlM52zfvmM/fDv0ovDkPvau+4Hho2fi6nL+vjIyTgBKkP7UG16uUzDC0MtvJHr9D1jyM1n965t0jxxZp9flZCvXozYn53MGgFjMZpa8/SZWs5nhk++lTZByXZ6o38XIcbehUqkw602UJhSTtzuT0sRirMbTBI0OZ8xDj7DgxefJiI7HqYsKp2D/8waAVJp++//x1axJaMwmFsx/mVvu+rBOrystUsqY+YR1PG8ASKWrZ7ytBO0UF7B+9VdcMfGBOr3OoFeyZbXtPvS8ASCgBO0Mu+phdv75AaUpx2rMPGKzWln23juYysroN/pGewBIUv52YhO/YOC1T9Bz0ChKk4vJi86kLLWUjNXJBF/RmnGPPsaPDz1A3LKl9LvmWjoMmkTizmWcjttAdlbSBZcLEkKIhiBBIKLRVZYs0emax8fPngmkUN/ko73Lm2EmEDd35cZmc84EYjKZiYlRLhSGNKMJP5VKhaenKwUFpRQXlxEU5O3oIYkmIDExizffXkB8vFJSYeSIHjzyyKRLNnnap087du85SWzsKa67djAA69bvp6iojJAQH66eUreLxkrhYf7MuHUE69cfILeG0jSOlJFRgMVixdlZy6KFz1VZlRgZ2YY77xiDyWRGq9XU67tGpVI1WJBHXUyY0Ifvvt9ATMwJsrIKm93vkA0bDvDyqxdWc9bHx52CglL0eoN9ghiUjB5du4QRGdmGgQM70a1rGFqtpsZthIf58+brN9XrnEKlUjFgQEf+WhJDdPTxWoNAKvXpN4nInlewbNkyho2YfEF9eXj6oXL3gtIiYncurjEIxGZRgjF0rh6MGHM7I8bcXmvWkITdu/n16XNlIlECZY6lbbE/4ubjg76wEFNZGaDGBtgwo/PwoFWXroR2706HgYMI6xGJppYVkF5BQUx+/kWufO4FVCoVRYXZ7Fs5B43ZxKmTsfZay5VKS5UViTbA0yuAfhOuZfu8H+na7ooLTuHaa8BkMvZtwlqUR1l5SbWJx/KKSStUary8A7nz4a+xWq0X1Eel9t2Hcyj1BEUZpwBIP3qE+Y8/iq3K9nSAmXUHPqr4vxMWCilHyUji5uNDWXExZoOB7LPKvDi7uhHSpQth3bvTbsBAtsb8QHb8dkqdM+wBIJXcff1w7+mH2T0Vz4gOdOw0kMdnraj1c/FP7QYM4FT0Lk7FRDPohhtxC2yDISOBYwc2NYsgkG+++Ya5c+eSmJgIQI8ePXj11VeZOFGZHL/99tv54Ycfqrxm0KBB7Ny50/5/g8HA008/zS+//EJZWRljxozh888/Jzz8TBmd/Px8Hn30UZYsWQLAlClTmD17Nj4+Ppd2B4X4l9iyVSkF06NHawIDz39+ExnZhhumD+PX37bx3vuLmP/T4/asiy1RaWk5J09lAEpZkKZGo1HTKsSX5NM5pKXlNdsgkORk5UZaUysFUyk42AeAzMzCczdsRnJzi7FYrGi1GoKC6pb9zVHCW/uTnVNEVlaRo4dSL4lJSlnTthFBTXqetZJO54Sbmw693kB+fum/Ogjky6/WkJKSS1CQN48+Ur1MyrlMmtSXPxfu5OixNObMWctzz15Tp9e1bnPurFw1mX77+3z52kQ0ZhML573CLXd/dN7XZGcq10A2jeaCSshMmfk2f35yN+qSQtat/IJxVz503tfk5ypzbhpdzZ+l8kw9+bHZFGfkMqTvPWgHueLsrLQ9mrmUg2m/ErC/NVG9xqB1c8K7hx/OPs5kbkihLK2UjNVJdBgzlHb9B5CwOwZzmhb39nWfs/H2CaLjoMkk7FhC2v7NZGUkEBRy/gxJ5aUFALifI/j/n9p37IdP+54UndrP3rVzuXzUbXXKPGIuL0UDePuF1rmvYSNuJnrDT1jzM6tkHjHklpO3O4uSjDx6d7yJAd3vwNnZDWzg2dmHmN+/QI2VgKC2aFy1eHXxxdnXhcy1yRiyy0hfkUSrcd3pPnoMhzesZ+3/PuGG//6Xj2LXoTGWs+D7Z3ngud/qPE4hhGgozeMuvGhRDIbKIJDmka2iOUV7l1UE2Lg0o4wOLSETyL79SejLjPj5edClc91PPJsCTw8XJQikpOz8jUWLl5dXzL33f6n8rvNw4cknpzDuil6XdFKmX98OzGEde+NO2W+K/7lQuRk29epB9Urf7O/nCSgZnJpSCuiUlFxAWTVX25gaM4jjYoWH+dO7dwRxcYmsWr2XmTNGOnpIdVaqN/Dx/5YDSnYOZ52WoqIySkrKcXFxspfI8fZ2p2OHELp2DaNz51A8KjKFpKfnk5qWh8lkpkvnMEJCfOoV0FEfAwd24q8lMezefbLOr7mQCayzBbWLIvvg36Sd2ltzA4uSAeXsEik19WU2Gln90QcABHfqhM7dg/LiYsqLi9E6O+Pi5QVWDUP630Va/n7aje5JSNcuuHp5YTYayU9N5ftZ08AKU5/8H516D6n38fbyDgQ3T9AXs3fX4upBIBWZQGwqFWq1mvYDB7J93o8k7tl9Qf0BdI8cyQq1Go3VSuyuJQwbcXOV5/UVqYbRnPm5r+97NWjY9RxcOxeNyUhy0iHW/fdDbFYrge3a4ebjS3rSEYzFpai0GkIiuhAQ1IFuERMxaopx6epMSNcuuPv6YjGbKcrMID81lfKSEoI6dMC/dRtUZ42rSJ3LuvjtWApzMJuNaLVVzzvNhnJUKnByPnPOXOfSNgMGsZ5PSY7bi8Vspl23IRzJSKAw7US9jktjCwsL4z//+Q8dOyorcn/44Qeuvvpq9u7dS48eyuT1hAkT+P777+2vcXauevwef/xxli5dyq+//oq/vz9PPfUUkydPZs+ePWg0SnDZzTffTEpKCqtWrQLg3nvvZcaMGSxdurQxdlM4WHpGPn6+Hs3mero52rxFCQIZeZ5SMGe7956xbPs7npSUXObN39ykstE1tEOHT2O12mjVypfAgKZ5ozw01K8iCCSffn3P374psmcCads0M4EEBys3EzNaUCaQnBzl3Mzfz6Pe52SNpTKDQl5e01r4UFeVn++IJvr5romvr3tFEEhJkw3OutT2xiXwx4IdADz/3DUXHPCoVqt57LErefChOSxZuptrrhlE506XZh7VyzuQToOncGr7YtIObCY9/eR5s0Xk5ZwGQOV0YfvVvkNffDv0pvBkHHHrf+CyMbedN/NIUX4mAE6unlUet9lsFMfnkxudCTZwwhUn94rrKhX49A7kyOJNqIDVv75Jj6hR9t9XrmEehExoS+ba0xiyy8lcncyYBx/hmztnYi3QoNFf2P2CKdNe5MPYNWgM5fwx91keev6P877GVFaCCvD2Dbmgvm644//sQTsL5r1Up6AdTMq9hICAC8tKZi8XVKyUCxrc+RZyt6djs9jQokPrcSYTr1cPP5y7OaP+TVlcEdzqTOYllyBXWk2KIGNNMqYCA+krkxh5zwMc27aVpL2xnPx7u71cUGnq8QsqFySEEA3FoWe0W7Zs4aqrriI0NBSVSsXixYvtz5lMJp577jmioqJwd3cnNDSUmTNnkpaWVmUbBoOBRx55hICAANzd3ZkyZQopKSlV2uTn5zNjxgy8vb3x9vZmxowZFBQUNMIeipoYjBWrRp2bx6SVTueEW0VQRVMvCVOZCcSlGU0IureATCA7dhwFYPDgzk1+ouCfKoOaiovLz9NS/BvsiT1FSUk5YWF+/PTjY4wf1/uSr8rp1i0MFxcnCgr0nErI5PDh0xw5koqzs5arJver1zZ9fNxRq1VYrTby80saeMT1dzpFWc0XHubv4JE0nEkTlfdoxYpYbDabg0dTd998u46cnCLCwvz47NN7+PzTe5n342MsXvgcv/78JHO+eoD/fnA7r74yjZtvvoy+fdvbJ7h0OiciIoIYNrQrI0dE0qqVb6OuXqusuZ6dc+lX/YW2iQTAXFbLz5G1IgjkHxNX/7Tz15/JTU7G3c+PW//3GTNmf8Y9c3/kkT8X8cAvv3HHV3PoN+QmdM4etAseiktukLLqBtA6O+Ma4I3G24rG10pox64XfbzdfJVjWJiXUe25Mr2ymtVW0Udgu/YAlOblYa1Shub81Go1mooAmdyc5GrPG8uV46rWXHzwl69fKNaKAIE9ixaQHh+Pzt2dmz78hFv/9ylBE7vgEmnAa2Qwd379LQNH3IpW44IbgbhkB6NzViYpNVotvmHhtB84iO6jxxDQNqJKAAhA18iRyriBosLsamMxm5VzOqdaVrWdS2A7ZXWZ2WCgvLiIgcOmYQNQqdDrm/5K44kTJzJp0iQ6d+5M586defvtt/Hw8KiS6UOn0xESEmL/4+fnZ3+usLCQb7/9lv/+97+MHTuWPn36MG/ePA4cOMC6desAiI+PZ9WqVXzzzTcMGTKEIUOGMGfOHJYtW8bRo0cbfZ9F49qy9TDTpn/Azbd+bM/EIC5OWloeMTEn7JmYior0xMYqWZVGXF73IBAXF2ceelDJ+rNgwY4mP3dwMeylYJpgFpBKoaFK9o/U1FwHj6T+kk9XZgJpmjfJz2QCKXDoOBpSTsX59T/LnzZFlSVU8vKazvXuhTgTBBLk4JHUnW9F4E1+QfM85herrMzI2+8oZWCumtyfwYPqVw67d692jBkdhc1m4+s5axt4lFVNuf5FLDpX1Db46+dXz9u+IE/J9ql1db/gvqbf/h4WtRqN2czS398+b/vKsikuHmeyVVnNVnK2ppO7SwkAycw+zNrl73E4eSlh17anzU2d8e0dwNSZ72AFVKVFbN34Y5XtugS60mpSWzSuGoz5BrR5nmhClfsEJYcu7DtRq3XmsimPA1CWdpKTx2PO+xqrQVlk6Osffp6WVXl5B9Jx0BQA0g5soaQ475ztzWYj6opzt8CQ9hfUV2W5IBUabIfN5GxNw2axkVeYyLoV77M3/jfCprajzU2d8B8YTNZZZYK8vav+znL21dFqUlu0Hk6Yi02YT8Hgm24BYONXXzLkshvQ+AajAtYueO+CximEEA3BoctNS0tL6dWrF3fccQfXXXddlef0ej2xsbG88sor9OrVi/z8fB5//HGmTJnC7t1nVuLJSqnmxWKxYqwIAnFxaT6BCj4+7ujLjBQUlNK6ddON9i6vyATiKplAGtX2iiCQoYObTymYSmeCQCQTiID4+FQABg3s1GilPZyctERFtSUm5gSxsafsYxgzOso+yXKhNBo1fr4e5OQWk5tb3GQm8c7OBNJSjBoVyYcfLSH5dA4HDyY36ZsBlY4fT2dBxeqlp56Y0uxWUld+b+r1hkteps7NTfk9UFn25Z9UNmXSxc299jTrBWlp/P3DXADGPvxotfIhAOXZZXiqgrBYTVixQAakLUskeExrnH11FJcoJVrUah3qYieKUvIw5JZjLjFhNViwGq1YDBZ0fi74DQ5G51d95ZalzIzNBmonFU46N8oAk7H6d5890ECtXEc4u51JQ2ssK8PF89wBL/+kdnLGChj01SeLy8uUlZtqbQN9BjVabOUWji3fCMCIu+/FM0A5bzUZ9ABonV0wFRopS1FuTqp1Goy55aQtTSR4TDi6wDOBG1azFVO+AUNuOcbcckzFRqxGK1aDhclRX1NiSKcoJQ8//7Aqw7AYDThrPHB3DsBqtKDSqlGp6/Y5VanVOLm6Yiorw6jXExjWlttfXUJAwIVNIjYFFouFP/74g9LSUoYMGWJ/fNOmTQQFBeHj48OIESN4++23CQpSJhP37NmDyWRi3Lhx9vahoaFERkayfft2xo8fz44dO/D29mbQoDMlmgYPHoy3tzfbt2+nS5eaz0cNBgMGw5nz7aIi5UaXyWQ6b1110TTk5ZXw7n8WYrXaSE/P5977vuTVV65nQH9l4lvexwtnNlt4+JFvyMgsoHOnVjz04AQyMpXyfe3bBxMc7HVBx3XI4I506tSK48fTmTd/M/fde8UlHL3j7N+fCED3bmEO/dxV9l3TGEJCfADl/Ls5/mxYLFZOV5SDCQv1aZL74O+v3CTNyirEYDA0uwUxNcnMKgDAz9+jSR7zs/n4KOdsOTlFTX6sNUlIVMrBhIf7NZvx+3gr1wXN9ZhfrF9+3UpaWh6BgV7cf98VF3UMbr9tJOs3HGDXzuNkZeVf8NzPuX7//1PvkbdwYPU3FJ0+ir60GKdzlPgsrsjO4ezqecH75+rmQ2jk5WTu30TSwW3nfX1ZxTWum6c/JpMJc4mJ3C0ZmPIMoIJSXQbrl/4XFy8vht7/H1RuaqxYsZqshLXugVtoB8rTTrJv+0KGXn5LlW2r3NX4DA4id2M6RYfzCOrYnvS0I5RnFpKZkIBfeN2vrfoPvoa/V36BqqSQLWu+pU1E73O2V1mU/fbxD7/gYzhp6jP8L3oZGouZDavnMPHq2svJZmacQoVSxtXP78L7mnLtLBIXxxLooZTYNXoVseq7t3By0TH1oVmoPDRYsWE1mchIV7Kw2jRaLBYLloqMqHYuKnyHBZG9JpWSk4VEDruKXb/9Sl7KaZL372Pstc+y+tunsBRkk55+ioCA1hc01n+6kM9/Q/QjhGjeHBoEMnHiRHt95H/y9vZm7dqq0aCzZ89m4MCBJCcn06ZNG/tKqZ9++omxY8cCMG/ePFq3bs26desYP368faXUzp077RNlc+bMYciQIRw9erTWSTJxaVQGgEDzKQcDShBIWno++U18NY89E0gzCrBxd2vemUBSU/NISspGo1EzYEDH87+gifHwVC5+WkoQiMlkprik3J4aVVyY+CNKJq1u3Rr3Zlu/vu2JiTnBxk0HOXRISb953bWDL2qbfv6eShBIE1oZlZKqrGQID/M7T8vmw91Nx6iRkaxctZdlK/Y0+SAQq9XKBx/+hcViZdTISAYPrt/qJUeqzE5mtdowGs2X9HzK1b0igMpqqfac1WpFVZH8xc295qAxm83G6o8/xGw0EtG3Hz3G1nwzrOiw8rORkr+Do8UbmRT1FuZiE2lLE1DrNJiNJq7q+Q1atY7M1Sk1bgOUuslpSxLwjvTHp3cAKhWUJhZTdCQfQ9aZ77mx3s9hiCziWNnG6tuwl2hRgkA0Tk6oNRqsFku9gkA0TjqsgNFQ/RzSWBGYodY2TPCuSqPFlGbFWm4kuFNn+k09U2PbZFQyfmmddRTFK8fbNdwD/8HBZK5LwVRgIG1FIhoXLTaLDZvVhs1sVWbVauCsdcdP2xFrrI0cfQZ+/QJRadXok4sZEnQfQRFdwAZJ848p++isxrtnAN6RfucNXHKuDAIpU96z5hYAcuDAAYYMGUJ5eTkeHh4sWrSI7t27A8r177Rp02jbti0JCQm88sorjB49mj179qDT6cjIyMDZ2Rlf36qBVcHBwWRkKFkfMjIy7EEjZwsKCrK3qcm7777L66+/Xu3xNWvW4OZ2/prbwrFsNhsLFx2jsFBPYKAbri4akk8X88KLPzNyRBsGDgipNn8izu/YsTx7KYtjx9N57Inv0emU3/+tQrSsWLHigrcZFenJ8ePp/LFgO/5+etzcms+1eV1YrTb27U8AoCA/iRUrchw8Imr87KenK9918fEJ9XofHa2goByjyYxGoyI2dgdxcY2Xda6uLBYlGNhksrBgwRI8PJrPYqTa7NqlXIuWFOc2+c9NWqqSSeP4ieQmP9Z/slptJCUpQSAJCQfJz28eZf+Ki5VFHdHRcThpq2fDa+mWLDkAQL++/mzZsuGitxcS4k5GRimfffY7ffteWOmQSnU597GYA7GoVGisVn747k1C2wyrtW12xmmcAL3RVq+fK7VrF2xsQl1eyi8/f4G3T+3zI2XFBTgDeYVlbPlrE21KWqG1aTCrzCR5pHNwkVI+0rt3X7bs3FXt9U7e3ShPO4khO4XFixfYM2meLUwXhL/Bh4Ft7mSl78sY800s+fILgobWfgxq4uTTEXPJHjJPxLJs2bJag/6MhhLUFdePhw4lceJk/gX1A6DyDoO8JA5Fr8Dm1LXWdrlZhwCwqFSsXXdhn0c3swtti0MJ9OiKyVLGrpzfKNiWBdjwjurF9rg4iIuzt08+uU3pS33uc8MQXQBB5X7k7crGp3MPsvfvZsW33xI6ZixGrTPOZiO//vAG7btdU+s2LsSlPvfX6/WXdPtCiMbRfArPo6THValU+Pj4ALJSqjkqKT3z5aFW2xr9WNY3UtK7Ito7N7dpR3uXlioT/M7O2iY9zrNVBqwUl+ibzZjP9vffSr3oqMg2uLg07eNe0+e/shxPYWFpkx57Xb319p9s2HCQr7+6j44d63cR+W9lsVg5dlQpudapY0ijfh569lTqd8bFJQLQpUsonTpd3Bj8fCtWpmXmV/nuduTnPKWiHExISNNczVdfI0d0Z+Wqvezbl9jk92v5ilgOHEjG1dWZhx4c3+THWxON5sxNgKKiUnx8zp2q9mI++866ioA6q7Xa6/X6IipHotPVvFLq+N/bOLFjO2qtljGPPoa5hnIqljIzpYnKefbJ7NUU2rIIHB9O7pZ0jFnlWPRmVKhw0iirHdWuGpz9dDj56nDydkatU6Ny1qBSqyg+mEdZcimFB3IpOVWIzWzDaqgewAKgc/Iiyulqsram4jMgEFXFcS0tVTKBqNRnvtOdXF0xlJSgLy7C1bf2rCc10WidMQHlZSXVjlF5RZkdjZNzg3wWbSVqrHnKzcsrHn8Ci82GpWK75oogEBcnL4pPFADg3tkLXFQEjgsj7+8MylP1WPRV3yO1ToOTnw5nPx1abyfUOg1qZw3zZ99GF/9xtPUfQfGRfEqTlPfQWmYhyE25vrJhQ1XxKbEareTvzqI8W4/vkCDU2tpXCzu5KO+1vrj4oo+LI1ZJdenShbi4OAoKCvjzzz+57bbb2Lx5M927d+eGG26wt4uMjKR///60bduW5cuXc+2119a6/X9m/akpkOZ8mYFeeOEFnnzyzGq6oqIiWrduzbhx4/DyahoZs0Ttli/fw4mT0Tg5aXjvP7fTprU/H3+ygmXL97Bps1Ka4+WXZuLk1LICDi61jZt+AmDKVf1RqVQsXbYbQ8X3xp13TKnX9YTNZuPQoa85eiyN7BxXHrh/3Plf1IwkJmVjNEbj6uLMzJnXodE4LvuDyWRi7dq1XHHFFdU++11OZrBo8XH0ehuTJk1y0Ajrb+eu48A+2rQJZPLkKx09nFr98ONRsnOKiOo5gG5dw87/giZu/4HFQBr9+kUyadIIRw/nnHx9j7B85SnUal2z+4ynpOZisUTj7KzlhhumOvT3yIVIS1/Pvv3ZBAaFNrtjfrFSU/PIyt6FRq3mwQem2+fJL0ZJqQ+ffb6a9AzrBR/Pc/3+r8nXx3+nPO0kpsKjTJpUe6mWEzGzAYho373e7/Enh36FkkKspUeYdPMDtbY7uvkdAC7rcC0+BeFgAyc/HSEj2hJkDiF69psAXH3vffiEhlZ7vdU6gU+eX4XGYsZVk8L4SY9Xb2OykrksCXcC6DfoJnas+hHz6WQmTnzrgjKKFg7tz/dvXoWTxUzbcGeietd8bnPyeDTJ25SyKVdPnV6vDFEdIrxY/e1TOJUXM3BgVK1ZMzatSyf/AKicLux3YMnxQgpissEGBk0Jmw/PosCQiSpZuR6aeMcdtOrarcprfv9xKxmAi4f3OfuyWWxkrTwNBTD68jv5bf9uyhNPMWH8OIoyN5B1cCvmgoSL/v1xoZ//+qq8HyqEaN6aTRBIeXk5zz//PDfffLN9kkpWSjU/RUVKYI1Go7KX53GEC42ULKlI0bZrVyxqVealGFKDOHZMWZFz+nRis1kJcDpZuel8/NipZjPmsy1ZegQAH29Lsxn/2Z//rEzl+B84EM+KFc07G0hRsYF16/djs8H8n5czoH8rRw+pWcnO1lNWbsTJSc2hQzHExzfeajOLxYqTkxqTSVlN1qG9y0X/POn1BQDs2BmL6qzf245aJWu12kityARy/Pg+MjOPOGQcl0J6hnIjOz+/qEn/HrRabXz2RSwAgweFEBOzzcEjqj+tVo3ZbGXFitX4+NSezvZs9fnslxQr3xFqm63aih+9/szK363bdqJWV7+sOPbt1wD49xvAroOH4OCham2CyvwIsQaQb8mioCwRq0bL6g2rwQYuXs6AipzsQxSfWEcZBtpf9hiUofxJqz5mLw93QvVBOFck3jCqTeTpCsnTFWJWWVChIuXYKlqbAunRajqlJ4rISsgkyTMNs9pC4vF4AMzWM6u/LBUTZJvWrcM15MK+W0rLDGiAnOyMaj8fWRmpqAF9mbFBfnZMp5QADm0bb+ISEolLSLQ/V1JciDPgYYjA5mKjXG1kw95NEFfRwAY6L2dUqLBhw6ayYVVZMassYADSK/5UyC9PYU/y12S5GejpPhJdmbL616QycyxzJclZ66BtFOFtRqC2qfAxehKqD6IsqYS8lFySPNIwamoOzCivCKj4e/NmPJNPX/RxgcZdJeXs7EzHjkp2uP79+xMTE8Mnn3zCV199Ve11rVq1om3bthw/fhyAkJAQjEYj+fn5Va5xs7KyGDp0qL1NZmb165Hs7GyCg4NrHaNOp0On01V73MnJSQIHmrjU1Dw+/ayitO09V9C1i5Id54Xnr6VVK1/mfLOO2L0ZaDQaeS8vQGpqHtExyurzGbeOJCzMj2nXD+WHHzfi5+9J167h9S65dvddY3nmuR9Z/Fc0t946okVlKczKVG4ItG4TgItL9d8pjlDT77HWbZR5wMIiPQaDBQ+Pup0vNRWV1w0RbYOa9M91cIgP2TlF5OaWNOlx1lV+vnICGRTk2+T3JyjIB1DG3NTH+k+pKcoca9s2gU3m90hd+Psr9yOKCsua3TG/WH9vV8pg9+nTjoCAhikdPH5cHz7/Yg0HD50mO7uY0NALz5ha1/PYfpffyN+/vo0h+zQmk95e9vSfLAY9GsAvIKze73GHnqM4tX0xWSdj0Wg0tQZCqMxmBrR9CJ985bzOo6M3/kNCUGvVHF2+AZvVQnCnTgS2rT2biF9EJIUn4zget47J1z5TvYETaHqAeZeVdqEjSG1/mORTu8lNSKDVBWTHDwgMw8kvBEteBru3/UbfATUHJ+bnKtduNq22xuuOuojsNYoVzi5ojOX8veF7rr/lzRrbFRco9/U0Lm51eq9sNhu5OzMpPlJRhqetJ0EDwijck4GqQIWpvByvoGBaR0ZVO//TFytzHy4ePufuywmCRoSRujQBjV5Hl55jObp/Han79zNywr38dnAran0xaanxtI3oWZfDcU6X+jru3/Z7ToiWqlkEgZhMJm688UasViuff/75edvLSqmmKzk5hy++isPV1TGR6vWNlEw+vYYDB7MJDm7NpEkTLuEIL07cvoVAFlFR3Zk0abijh1MnRlM0m7acxtcvsNlF0peXG/nokz0A3Hb7VbRvV/vEe1NQ0+e/oHAbO3elERAQ0uyO/z/9NG8ztoq0g65uAc1+fxrbipV7gQN079baIavNtmzLJzr6BN5ebjz++M3onC/uYiMtfT37D2QTEKCs0mmsSPnapKfnY7VG4+ykZfr0q1tEzexKiYlZ/PjTIVQqTZP+ucvPL+H//hsNwMsv3Y5Wq3HwiOrv628Okp9fyqDBw+jQ/tzfPRfz2S8syOKH6DmogLFjR+LicuYmVlJCHH/tUFb5TJ48pdprrRYzBz94D4DpzzyLu1/1ST2bxUb6okSsWNC2tcJ+UFN9xe62TanEHs7E4ly380eryUrp8UK0nk64hLnTXl31nH+lOZ5jW36jwJrDZe0fxd3oSmRZJ1zbeKALSOFI6gFc3DzsfaX/8Su5xcUM6NuXNr37nLf/s+WmrCA/PwWPGs5904/9Rmke+PkHNcjPzsGP3wcgsHebats7EfMpoKKLzxCwQUi/UDp26V7vvo79/X9gMePVRkP7MV0pPVGE2kWDa2sPFr94NxqziUG9+jNo6JnSn4asMnK3ZOBarqObvgOubTxwCXXDpZUrauczP48/r15BSnYWvaOi6HL5xa3CbQqrpGw2W5UMk2fLzc3l9OnTtGqlBBf169cPJycn1q5dy/Tp0wFIT0/n4MGDvP++8v4OGTKEwsJCoqOjGThwIAC7du2isLDQHigiWg6Lxcpbb/+BvsxIr14R3HjDmWs8lUrFzTddxvyft1JUZODAwdP079f8ylM6ypKlMQAMGtiJsIpSfe3bB/P6rBsvettDh3ahW7dw4uNTmD9/C4883HTPjy5USqpSDiE09MIyYzU2dzcdPj5uFBToSU/Pp1On5rVAIDlZueHUpk2Ag0dybsHB3hw8CJkVZZWau5wc5fs8IODCyv85gp+fcl5eUKDHbLY0q2ubxCSllErbtoEOHsmFqczAmJ/fdErONpZNm5Vg/hEjejTYNgMCvOjXtz2795xk3fr9zJwxssG2/U8DBl7Nlj/+g8ZiYfPa75h49RM1NzQpZdb9A+tf5nbk+Hs5sX0xGpORQ/vXE9W7eknUoqIc2voOo7XfUFCB/+AQPLv42O9VHd28CYAul488Z19DRs1g1ck4LAXZ5OWm4udfPSNTjuEUGVkH6Bw8mYHDZ5KSuJdD69ZcUBAIQLf+Ezm45nsKkuKxmM1otNVvK+blKKVb1c6uF7Ttf2rVZQBZB7aSeHBrrW2KC5SSUs5udft9XZZSqgSAqMC3byDeUf6oVCrcQiIoTlTG3WXEiBrvF5ZVLA529/I/bz/Ofi749gkkf082vftex8nD2zi0di1XvfQyuHtBaRFb1n7LjHs+qdO4hRDiYjX5IBCTycT06dNJSEhgw4YNVQIwZKVU82OxKndoXXSOPY4X+j76+1VEexc37Whvg1FZAeru7tqkx3k2Ly/lIqq8zNRsxlwpZvcpjEYzwUHedO4UVu+VYo3t7M+/j48ycVBaamh2x/9sVquVFSvj7P9PTs5p1vvjCMePK0u8u3Vr7ZBjN3ZML6KjTzB9+lA83C8+41ZQoLKy458roxz1PZ6RqZSYCA3zrfeKiKbKw1N5v8rLm/bvcWNFphlXV2dcXZvXatB/cnXVkZ9fislkrfMxr89n38f3zMSsobwYT88z59tGo5L5wKZS1bjd8vJy+789fH3R1tCmJLkQa7kFjZsWl9CKnwtr9X0yGZVMVSqNtm774AS6XtUzAVZy8/ABIKN4H2FXtSNzfQqmAgOlx4vowmg6RV1ORvlhtBotKrUK54osgFbjhX/GKwNnLObq37MWszLJ6FzH1UvnYrPZwKycZ1tV1cdps5gI8YzCxeaFykmNdxc/1E71v1mg1joDekwGPc6uOpyjzprEtyqlFDw8qq6idQpzwmWKK1kbUzBkl6M/WYT+ZBGowDXMnaBR4ai1apzdlHNDq9HYYL9TGmuV1Ouvv87UqVNp3bo1xcXF/Prrr2zatIlVq1ZRUlLCrFmzuO6662jVqhWJiYm8+OKLBAQEcM01Sl1ob29v7rrrLp566in8/f3x8/Pj6aefJioqirFjxwLQrVs3JkyYwD333GPPLnLvvfcyefLkWkudiubrl1+3sW9/Em6uzrzy0vXVUubrdE5cfnk3Vq2KY926/RIEUkcmk5lly3cDMPXqgQ2+fZVKxV13juHpZ35g4aJdzLh1xHnLtzUXaWlKhoqw0PPfCHG0kGBfCgr0ZGQWNLsgkKRmcpM8JNgHgMyKa53mLie3IgjEv+kHgXh5uaFSKeeABQWlBAQ0nwWLiUnKzduIiKb9+f6nypKzlRlj/i2ysws5dEjJ8HD55fUPIq/JuCt6sXvPSdas3XdJg0A0Wm1F1ox9HIldXWMQiNlsRG1V5gyCQtrVuy9f3xC0vsFY8zPZuWlejUEgmSkniQxVykT69g3Eq+uZ62xDaSkJu5VA1a4jzh0Q36PnKJY769AYDWxc/TXX3Vw9q31O9mkOpy+gtd9wXJ18iOgwhEPr1jL6/gdRa+p+PXj56NvYv3YuGquFXdsXMPTy6kGzhflKdg6ty8Wd81x+xV0sOLAVSotITjpIm7aR1droi5SgVFeP8wel2qw28mKU+4PePfzw6XkmwLLnwKvZuvoLANoNrvmc0FRWDICnT90Wf3pH+lNyvBCKoFO3kRzZsokJTz9DRORlJO1aTvrRmDptRwghGkKTXoZaGQBy/Phx1q1bh79/1YvMs1dKVapcKVUZBHL2SqlKslLKcQwGJUjBWdd0bxLVxKfiRL+giZ/oG8qV9NkuLs3n+Lq5KTd9SkvLz9Oy6dmxQ0mHOHRol2YTAPJPnp7KjdDi4uZdCmZvXAJpaXn29yExMVu5ISbqLP5IKgDdujmmlvOVk/ry+29Pcfttoxpke/4Vq7dycosbZHsXKyVFuUAND2v6E+YXyqXiO91oNGOxWB08mtrp9cpK/MrvnebMzVUpvVG5T5eKVutM5TtaUpxX5Tl9aYHyj1qy2hgrymOotVq0zs41tik6rGzTq6svbl7K5I3aZsNqrfo5Kq+YdFFrG+b8xtVV+f1gs5hx8nImbEoEwWPD8ezqS5m1ELVaS6hbTww5ynejs6uykslYduHngTpX5RzSYqr+XpkrHnPSXXzgm/msTBNmS/W+bBYTHQLHA+DZyeeiAkAA1E7Ke2ooq/47VlXx/evmUT3NstbdiVaTIgge1xqv7n44eTuDTVmZVZ6uHN/K4204q8RKc5GVlcWMGTPo0qULY8aMYdeuXaxatYorrrgCjUbDgQMHuPrqq+ncuTO33XYbnTt3ZseOHXh6nrnZ9NFHHzF16lSmT5/OsGHDcHNzY+nSpWjOmqSdP38+UVFRjBs3jnHjxtGzZ09++uknR+yyuIROnEhnzjfKXMfjj02uNU362DFKOulNmw9hMpkbbXzN2ZYth8nPV26aDhvW9ZL0MWRwZ9pFBGEwmNgbl3BJ+nCEVHsQSNPOBAIQEuIDQEZGvmMHUg/JpyszgTTtm+TB9iCQAoeOoyGYTGYKCpRzj+YQUKHRqHFzU86Nc/OaV2aKpEQlyCmibe1B202Rb0Vpr/yC5nW8L9bmLYcBiIpqQ2AD/2yMGNEDJycNp05lcuJE+vlfcBEGj5oBgDk/i/y86nVFszITUAE2ICi4/kEgAN36KVnE85MOYzFXPzcrO16Kq7MfpcYcvLpXPb87seNvLCYT/m3aEBBx/nGEdO4PQMKBzTU+X5iXitVm4kThBgAie0+mNDeP5H1xF7JLuLp54RqsZEjZu31BjW1Ki5SfbZc6BGacS9uIntjcPFEBW9d+W2Obcr0SfOjpff7AjOJjBZgKjah1Grx7Vs2w1cqtA1hUoLVxKnNPja+3GJR5Ab+A8DqNX6VW4d1Tmfvr3nMiFoOJE9v/ZuS4e7ABGmM5hw/W/H4JIURDc2gQSElJCXFxccTFxQGQkJBAXFwcycnJmM1mrr/+enbv3s38+fOxWCxkZGSQkZGB0aismjt7pdT69evZu3cvt956a60rpXbu3MnOnTu55557ZKWUgxgMSpCCTtfkk9BUUblqp6CgaQeBlJUrPxuuLjXfbGmK3CtuxunLLu2NrIZms9nYXhEEMmRw8/1d4umh3GgpLml+QThnW7ZcOVGfML43arWK4uIy8prZRIgjmUxm+wV3t251u6hpaCqVivAw/wYLqPL3U26o5TaZIJCKCfPwlhcE4up65junvOJ7vimyB4G4Np/vyNq4uin7UNYI3502lXK5UFpS9QZKWeXNf3XNwQSVN/B1bjUHOBiyyzDklKPSqPDs4oN7xUSRCjAYq978N5ZXBpQ0zHtnrwFdkbFCpVHj1tqTgCEhbCv8jIyifUq/ucp3o7Orsg9G/YUHTOrsmUCq/2xYzYaKNhcfBHJ2wITZWv1z4abxJ8S7NzZseHW7+Bt3mor3wlBe9bvWarWeCQJx86nxtSq1CrcwD/wHBRN+bQfc2yuTyQb78VbOTUxlzS8I5LPPPiMxMRGDwUBWVhbr1q3jiiuU1X+urq6sXr2arKwsjEYjSUlJzJ07l9atW1fZhouLC7NnzyY3Nxe9Xs/SpUurtfHz82PevHkUFRVRVFTEvHnz8PHxaazdFI3AaDTz+pt/YDJZuOyyblx5Zb9a2/bt0w53dyeKisrYtet4I46y+Vr0l7JI6KrJ/S5ZCQWVSkVUlHKz5EhFsHVLYM8E0gwCm4ObaZaKkpJy+zVM2yZfDsYHgIwWEASSm6uc02i1Gry9L/7crDG4uytBIHlN5Jq3Lmw2mz0TSNtmlgnEt2KBYGFhWZNe/NDQ7KVgLm+4UjCVPD1dGTpEmVNds3Zfg2//bJE9R2Nx1qEGNq7+ptrzWRlKwKZVrUZ7kdedI8begVWlQmOxEL1jYZXnzHoT7nnKZ/9gzmLU2qq3545sVoIDulw+sk7zYyOuuFv5R2kRKafjqz1fWTYl1XwAtU6Dh2cgbdoN4NDaNRe8X72GKNkLS9MTMJRXv1YrKykA6lY25Xza9rgMgNSju2p83lyu3KPx9jt3pi+r0UJ+rBKc4tsnAI2u6nnf8b//BkDjbSE+dlXNG6lHmSCPDt5oPZzQ6Tzo0PkyDq1bS0BgG9Teyvf6jg0/1nlbQghxMRwaBLJ792769OlDnz5Kbe0nn3ySPn368Oqrr5KSksKSJUtISUmhd+/etGrVyv5n+/bt9m3ISqnm5UymiuZ1A6a5BIGUl1Uc32Z0g+tMJpDmFQSSlJRNeno+Tk4a+vXr4Ojh1JunZ0UQSDPOBFJcXMbGjQcBuPaawfZVkgmJWY4cVrNy4mQGJpMFLy9XwmpZZdrc+PufCQJpCllhKuunt8RMIM7OZwI7DRXBiE2RXq+MrSVkAnF1VfahTN8Ix7si04deX/UGSmV2DpWm5sDeykwgzrUEgRQfLwDAra0nGhctHu4+9udK/5F1xGBQzr80DRQE4upeGQRSffLWbDJQoD+l9PuPoARjWT2CQCqzjtQYBFIRHF0RKHIxKo83aps9uORsEd5KBkSzRxlOXhd/HLXOSiYxo6Hq5J/BqKdyqtK9jivAdAEVx/efQTf1ON5CtBRzvlnHyZMZ+Pq689yz15zzJoBGo6ZbV+X8YvXauEYaYfOVlJxNbOwp1GoVV00ecEn76tpVybDXUoJArFYraWlKUGhtmWmakuaaCSQ5WblZFRDghbt70y5hGBysnFO1hEwgOTkVpWACPJtNptfKIJDmlAkkJ7eY0lIDarWK1uFNO8jpn5QSPCpsNhuFRc0vWLk+CgpKiavIZjVyRMMHgQBccUUvANau218tI2RDC+mkBNUmHNhY7bnc7CTlH04XP1/g6uaFS3AboHrWjPy9OajRkld6gkzzkSrPmQwGTu7cAUCX85SCqdS2XS971ozNa+ZUe76ybIrOwwPvHsp3d49eV3Jk02bMxgubTxhy2Q1Y1Go0NhtbNv5Q7XmTXpkj8PIJuaDt1mTUhHuVrBmGcuIPb6v2vM2oXDv6B7au9tzZCvbnYjVYcPJ2xrNL1etTq8XCsa1bAFD7WDHlplNUmF2ljaFcj6ZiTjE4pO7z/yq1Cu8o5fy8W9RETu2Kpry4mC59xwGQm3Dgkn/ehRACHBwEMnLkSGw2W7U/c+fOJSIiosbnbDYbI0eOtG9DVko1L801E4hvRRBIfkFpk7iZWJvKTCAuzajcjrt7RSaQS5zSvqFVZgHp06d9lVXwzU1LCAJZu24fRqOZdu2C6N49nIgIJaVokgSB1Fl8fAoAXbuGN5sJr/OpDAIxGs2UNIFMN6mV5WBaYCYQtVptL0NWVtb0M4FUfu80Z24VmUD0ZY0QBPL/7P13mCRXffYP31XVXZ1nunty2pyj0kpaSSighAICg5ExIMNjDDwGgzGyMVi/1yaYYEwOBhtkS0aAwPYjTBQSytIGSSvtatPMptnJeaZnOlZ1ddX7x6lT3T1hZzpW6Ppcly7tztT2OX26+lTV+d7nvlVhdTIxl/djYTkRSJI6gSzMA5YlGfFe8nqBjUEAgJN3a9Ez811H0qrQgCvDghyQFSewi9zTSWIKkcR5AFlRgrMEEYjHQ1wulMxCG2BZtQYujwhEFSpzQCadf14oioLVoavJn1szJbcFZEUgaTF/THIFPLnCngvBN5DXEiZVEYjXFoHY1DaHj/Tixz95DgDwib99C8Kh5eeIbdvI/cXzz3cjbrLnqmrzi1+QHPa9V27WRAKVYqsmAhk09DrCSpmaikIUJXAcqxX/jUwrdakYjejaj0Lp6yMFqFUGdwEBsmM8MxPX1vvMyuQUuTelz5FmQHMCmTaPEwhdp+loD+dtJjADxCWGPBfMzJhHeFMKzz9/ErKsYNOm9oqJ/66+agu8XhfGxiI4erS/Im1QrlVdM5TYLIaHevJ+F1EjYhxlcGkEgN1XEteM2PBZzTVDnE4hdioCAHht6CG4/MG8f3PuxYNIp1Koa2lB2+aVx9Wt2n4NAGCoe6FrBo1N8dc3oW5rCIyTRTDUgcaGDTh78EBB78nh4FHfRfp14qVfL/g9jU0JNrQX9LqLkeea8US+4ESWZTAZ8lzb1Lx0ZE46KmL2OHk+De9pBsPmr3cOHT+G+PQ03H4/lCBHXGLmCWlGR88AIDFBDY0XFpzMJ7CxHpzXAZ8/jFWr96D72Wdw3c1/BhkAl5Fw6MVfFPR6NjY2NsWgqwjEpvbQRCC8eUQKQNYJRBSl6hRciiSVMq8TSCIhmmphbP8B8rBAbQvNSiBACi+pVNq0GeI0CuaNd14GhmGwVhWB2E4gK4fuTqQL1VbA5XLC7yfnt96RMLIsa/npVnQCAaCJQFKCca+RWhyMBZxAvNQJpAr3JAynfrbJeSIQ1X51qYgW4QJOIMmBGGRRBud1wN2a/b0WPROP5B1PhQZOvjy7Yf0B8j1kgAU2thlJxEyC7HYTZwTIkqxF2hQTT+KjQgh5ofhCkcl11+0tPVubOoEwrAJZyj8vUiMJ+PhGiFIc7o7yLGryLvI6kpgvsqOfnYyVf16uBnI+ZxISMkkp67xSRPyOjY3ZkaQMPvf5/4GiKLjzjkvxumu2rujftbb40NXVAEFI41nVtt1mIYqi4MknjwIA3vjGyyre3rp1LXA6OURjKe1e0MwMDpH30NISrFiMTjnRnEBM5lLR1z8JAFi9yvhRGYGAR9sUMz5urtid+UxOkmfGpsbS78uqhZ86gZgoDua8KnJara7bmI1QkAgzZ2aM7RRdLp7SomC2VawNl8uJ668nLiNPV/geZs26iyB7/WAAPD8vjoPGpvBleDYDgKuufbvmmnFQdQOZfpm0MZx4DdPx0/DV5Yv9ep55GgCwZYVRMJQbbqWuGUmcP3c473fZ2JR2sDyH+m1EzLNj951ae4Vw+bV/DAAQJ4chzHsWhPoc2lhAbMqF2HTxTQCAyfNH834+PT2sFTVbWtct+e9nXpkAZAXuNi88nQtF1d1PPw0A2Hj1NWjZRJIKzh19Ju+YiTE1JojjwLKFlVIZjkX9DrL2sH337eh++mn4/UG4mkgM98vP/bSg17OxsbEpBlsEYlNVsk4g5hKBeDy81ueIgW/0U6oTiMdtnvGlO7IVRalKMascxOMpHD58HoD5RSC59rJRA7glFMqZMyPo7h6Cw8Hh1lsuAgCsWU0Wy87bIpAVc1IVgWzZ0qlzT8qLFgmj886oiYk5U+2aLAYa85YysBMIjR2zggiELrYnk5Xf7c06VJeX+U4g6mIS51xcBCLGye8XE4FEz6i7kTbU5+/GURdV5juBSAK5Pjl4T6HdX5Rch4podDLvd7IkIpmegsQIgAKkZwQ41XgSKmwphAtFz0DdveTxlL7jVIirfeOyMTOU2VOkaDcUOQBfXbDktgDAqYlA8oUaCTUHWilg0ZJ1clpEjTCVAu8ln3MxohsbG7Pz6O8OY2hoGuGwH3/5kTtW/O8YhsFNN+4CADz2+JFKdc/0nDkzirHxWbhcTlxx+caKt+d0OrBhA8mqt0IkzLAqZOnoMH4UDAC0thLnr+npmKlcKmgcjBmcQBiGsUwkDBWBNDaayQmE3D9NmygOhq7T0HUbs0E3CdaCE0gslsLLLxMXhEpFwVAuvoi4OZw9O1rRdgAg1L4BADA5fDrv54kocW/1+stzjXM4ePBBInYa6D0MMSIgORQHGOC1MSIKqQu2aMdn0mmcfuEFACuPgqE0Na+GrArwT/fsz/sdjU0Jqy4WddtCUBgF4cbVyMwUvhlz18W3QgYpKvaeeVn7eTIVy8amtJUnNv3iy+8CALBpEclU9js3PnoWAJBhGHiWEO1I8bTmPhre07JAVKMoCrqffRoAsPna67Bpx/UAgHQ0fy1ienIAAMAU6Uoa2BwEHAr8gSbwArm+7LjiLmRcbjR3VP5e1MbGxsYWgdhUlZT64O02kUiBQm/0IxHjikCoiIIW48yAy+UEqxaAzGJd/NLLZ5DJyOjqbDB9tAPHsZpbghkjYX73GFnkvuaaLQipVtlr1pKHLLrDxObCJJMienvHAADbtlrHCQTIEYFM6isCGRwiiwntbSFT7JosBtsJpLpQEUgiUfnxpk4fVPRBoe4cS0W0LOUEkklKSA6RBRz/hnmiqCWiZySJfHbUfaJULhQ9QyNaBCfpozCV0pwp0kXEk1woeoYKQ7wrjE25EGKSfD4Mq+RFz8hpGcl+8l76pp9DoEyLmi43uS+eHz2TSKq7gAvcJcU3knsRcSpVkujGxsbMSFIGD/4nyah/5zuuzRNrr4SbbtoJgDyrmCkaoJo8/8JJAMDll2+o2saULZtpJIz5RSBDqhNIR4UiAcpNXV3WpWJszDwuFTQOZrVJiuQtzUEAwKiJxngxsnEw5nECoXEwem96KIS+fnOd3/MJhagIxLhrw+Xit4++gnQ6g1WrGrXY5UpBHX2rsZmruWMTACAxM5b3c0F9BvUHy/de6xrJRquZsT5EeyIAAG+XH9E4iWQONWQ3Yp18+imkYlH4QiF07thZcFuuOrI+PTpwUvtZbmxKcwsR2nBuB9yryLWxsW4j5ExhcaGcwwG4yfPx+bOvaD8fHyHCDBlAuKE8G8za2jdBZhgwAM6eelH7+eR4H/mDY+l7uejpWUABXC0euBoW3lOfe/Eg5sbG4HS7se7yK7Bh0xUAADYjIZYTcRqZHiFNuRfG3K4E1sHCv4Wse7S37oIQj+P6m/4UH//nfXjrOz5T1Gva2NjYFIItArGpKoKgZp+bzAkEAEKqCGR2zpgL0rIsQxRVW3ETiWwYhoFPi4Qxhwhk//5TAIC9JncBoQQC5OY9FjWfEwhdQLj0kqzKnNrmTk/HMDtrzO+rkTh1ahiyrKCxIYCmJmu5VDSEiTBoUmd73MFBNQrG5KKxC2EGJxBLikCq4ARCnT7E+SIQgcyvDufiRUpxCRFI7Ky6GNPkAV+f/1kwHMkFnx89kxGpCKQ8TiBA1qlifvQMFVBIbtKmmCMCEYsQgfhVEchi0TOMoopAvKXPvZpggkNe9Ez8/ByQAaKpEUzFT8NVpoxrl5uI7OZHzyTj6mfHFiZ4c4XJeVSq6MbGxsw8/vvXMDQ0jWDQize/6fKC/31nRwO2be2ELCt46qljFeih+XnueVIYed3VK4vZKQc0brG7e7BqbVYKszmB5LpUjI7NLHO0caDxNWaJkWxpCQKwnUD0gIpApqfM40oxMhIBYJ55ZD5085HVnUBmZxP4wf1PAADe9odXFRRNUgw0HmhyKoq5uco+A6xeexEAQE7mf4aSKqoPhtvK1laLKjgR5mYQOxMBAAQ2h7KxKc0kNkVMJvHk9/4FAHDpH7wVLFf45qFgE3H6mKECCeTHpjTnuHPUbyIOJPXBdsyOjhTclkuNsRkb7NZ+Nq7GpihFxKYsBcuygPr82pcjOJmZIvdU3BLrA4qsIHqKXPfrNocW/D4jSfj9t74JALjozjfC6XajuXUtMqrg5EyO4CSmxgS5fMU/s9etI9fzULgLE+f7yjY+NjY2NivBnnFsqko2Dsahc08Kh/bZqDaiqVS2X7Q4ZBZoQY5a9RsZRVGwf38PAOCqq6whAjGzEwjNHaZ5zwA5n+hClB0Jszwn1QXpLVutFQUDZHdx6W2POzhInECsLQJRnUBSZnACMdc1cjHodTNZBScQpyryEIV8AUNapBEti4tqqAjENV8EkhMFMx8aPZNK5gu3Mhlyj8MXuftmUVSRQmKeCASy6qLhJwINIU8EUriwMNdOOBrL7iiSJFF7ECuHCISON1jkRc/Q8e6ffr6giJblcHvIAjh1TqGkVJtepsCFy1wnkFJENzY2ZiWTkfHgg8QF5I/f/rqin+euU+3aD750pmx9swoTE7Po7h4CwzBVfY7bQkUgPcOQF4sGMxHUCaTdJE4gANDaQoo/ZnECSSQEzeE1rArajY514mCIkLWx0XYCqRSyLGtrOHTNxmzUihPI93/wOKLRJNavb8Wb7tpT8fZ8Xhdamslc0tdX2XW89ZuuhAKAUxSMj/ZqP1fS+bEp5WD1+ksAAJ3uHZBFGZzPAYQVLTaluZUIM/b/6CFEx8dR39qKK9/xzqLaauncAgAQ5rJxp3mxKe7sNcXdQJ63/IEmTJw7X3BbIVW8EpkY0H6WjU0pzMluOTz1RCA0NnRK+9lchLi4OJeIVU0Ox5GJS2B5Ft7VC4859Mj/YLLvPLz1QbzuT9+r/ZxVn3H7e1/VfpZQn+G9geLvffggD0WRwbt8mD7XX/Tr2NjY2BSDLQKxqSpZEYh5nCooTicRgaTThdmkVYvcwhvPm0tk4zWRE8ip0yOYnIrC7Xbiot1r9e5OWaBOIHMGEoEoi9nmLwJdaGqdt4CgWUnakTDLcvIkEYHQXYpWolGNg9HfCYQ8hFtZBOJRnUCSKWMKJQFrOYFoIpBk5UUgDnV3DY1/oUjqItlSES2LOYEIUymIMwIYjoFv7cIFdtZB3peQzF9UVSQaJ1jGnZlLRM9QAYUjRO5VxRkBvBpPUowowZUXPZMVgSTi2WKUv670Yhodb4ZTwKjX0HQsjdRoAgoU9E8/B4Up36OfW81ezo2eAQBBFfAwXGH3+rzqBCLF0nDyxY+3jY1ZeeLJo+gfmERdnQdvecuVRb/OnstIzv0rr5yDJBnzuVUvXniB7Fbdvr0L4XD1dvqvWdMMnncgkRAwoAqDzcqQyZxAgOxmgdFRcziBUPG618Ob5p416wRiDqHNUkxNmc8JxK+KQOJxwdBifMr0dAySlAHLMmgykdgmF+oEYuSo8FI5c2YEP/9f4oTwV395Z9UibakbSG+FN3P5/UHIqgPlmVMHAeTHpjS1lG+td/2my6EAWNdwAwAgsCmIibFzpE0A4XA7IiMjOPCTHwEAbvrQh+F0FTf3r1EFJ0glkVGF+tnYlHxxMedxIJ1JgmFYzBYx3q1dxFFNiGbva2anh0lTnjJu3AAQal4FAJibzDqqxVWhi9u/0OUDAKI95Jrv31AP1pH/DByfmcGz/34/AOC6978fnkB2LvKoUUDjw6e1n4nqekGghJgghmMhymTOiA2Z437ExsbGOtgiEJuqQt0qzCkCITe96bS0zJH6QMfW7XaazlbM6zOPE8iRI+cBABdfvM50YpulqKNxMDH9iy2SlMGfvPub+PBf3r/sTrlkUtTiXubvIllTxTxRs0Pzybda0Akk3EAWaKam5pY5srIMqrsmzWLpXAwu1QlEMPDiY0J1zTDLgvqFoDvEk1WIg6EiD0nIv0Zk0mQ8nQWIQKgFrrfLD861cDGRRs8IqXz3Hll1AnF5yrcjlkbPJBP5BQtGvfZ4gj6wPAvICniWtJtOFHed1KJnYtkFHxpDo6A84pZcJxAWJHqGjrfoiSGZngLKeH/opXa48jwRiPrZsRfIZ14MzsXBESD/xpFRXUGKcF6xsTEjsizjgQefBAC8/Y+u0aIyi2HjxjbU1XmQSAg4qd7j2RCeU0Ug11QxCgYAHA4Omza1A8jed5uReELQip4dZnIC0UQgEV37sVKoECHcYB4hguYEMh7RtyMlIIqStrbQ2GAecQLPc9q6lN7ulyuBCoUaG+uqJiwoN5oTSMT4410MiqLg69/4FWRZwetv2IFLLllXtba1zVznK7+Zy+En89ZQH4nPm54a1Ipkra0bytaOx+2Hz7cKjf4tUKAgsDG4IDblie98C5IoYvUll2DzddcX3dbaDZdBAXkWHBw8AeDCsSkZjqwlCJOFP3Ot3XApAIARUpDUaJvYLPncXN7yzqFtq4jLnRjNPksLsQgAwK/G0uQiJdJIDJDvZ2DTQpHIMz/4NwixGFo2bsJFd7wx73fhViIAik4NZ19PjXStD5e4cc5N1hmkWeNunLKxsbEm5qoU25geQTSzCER1AhGNKQJJqoU3t9t8NvdmcgLp6VEL5hZyTcjGwaR07gmJdzlzdhSvvHIOr7xy7oLH0kUmr9elvQfKmjVNACq/g8DsCEJa25FIF6etBHUC0TMjWVGUmoiDsZ1AqgsVgSSq4ARCRR5SOv8aLat/d7kWF2YIyXwRiCIriJ0jgqzFomCApaNnoO7K8pRxQWmx6BlZlkEDU7yBMPgG0h9OIv8XihUlLBI9E4+TRSyFQVnEu0KOEwgAzEWntCiYObea88yVT7zq9akLavMEm4L62XGOwu9HXep4swL5bNK2E4hNjfD008dx/vwEAn43/vCte0t6LY5jceklxFr85ZftSBhKIiHg0CFiif66a7ZUvf2tWiSMeUUgw6qoORj0wucrr9V7JaGOkaYRgaixHg0miYIB8p1AVuroaTSo+Mbp5FBXt7BYalQYhtFig6ZMIQKJAMgKh8xIKEjG26pxME89dQyvvNoLnnfgQx+6raptV3Mzlz9M1r8m1biUsZFsbIrLvfgmh2LZ0HIrACCCATh8zmxsCu/G+UMvo/uZp8FwHG75yF+BKSG+08W7IaubKs6dfglATmyKd6Gw0FFPnrnkIh651qy9CDJIYbGv9wgAIKGKNLyB8q57rd9I4ojYtABBjaRNJ8l8VxdqXXB87PQsoACuZg/4UP7az0hPD1795S8AALd+9K/Azosw7Vi1g7x+juAE6rpHQ1NpMUHuBnJesZL56jY2NjbmxhaB2FQVU8fB8KoTiEFtdVPJrBOI2fCpTiCJuP4ihOXoOUXUwFs2W0cEQuNgogaIg0nlFJD/95cvXfDYbJbswgUEuoOgzxaBXJDc8a6vK++DrhFoMEAczORUFIKQBsex2k5EK0KvPUa2IbaSCMRLRSBVEE+63GS3W2a+CESNAVlqkUxMkIVRlxqlkhpPQk5lwLo4eDoWL2w4XKSoND96BrIqAlki87cYWFWkkBs9k0jMaSIQn69eEyUwoioELtIJZLHomaQaB1OuiBbqBKKoLxcfn4EUTYPhGEyD2ACzZRSB+HxBANCiZ7R+pMh4cs7Cv2dUdCMnyKcgJpOmLSbZ2KyUubkEvvPdRwEAd9999QJhczHsuYyIQF6yRSAaL710BqIooaMjrBWZqsmWLcRxz8xOIMNqFEx7m3lcQICsQGFULT4bHc0JpIqRRaXS3ESexwUhrblpmI1JLQqmrqQirB5QEci0zhGoK4F+D1uag7r2oxSC1Alkxviim0IRhDS+9Z3fAgDe9c5r0da6eNRGpVhbpTgYAGhqJ24fiZlRAMDkxHnyC2d5C/SyJGN14AoAwNnIswCAiOoywbm8eOybXwcAXPqmP0Dz+vUlt8cHyDV6uP84ACA+S2JTPP7ggmP97eRnLtZf8DOXw8FD4ck967kzLwMABNVhs5TYlMXo7NoOGQADoFdtS1bFIOHGfGGGoiiInoqQfmwOLvjd49/6OqAo2H7TzejatXtBW+s3XQ4AYKU0kqkYJEkEq256aG4pzRWnbjXZrOh1h5FOGb/+YWNjYx1sEYhNVREEtWBgQhEIrzmBGFQEIpDCm8fETiDxhHGLhwApblJF+mYLOYFoIhADxMFQtyAAeOaZExd8sKZWoq3zomAAYPVq8tAxNj6LuAkcZvQiqboI8LwDHGe9WwIqAolGk3nnVjWhLiAtLUHNUcqKUBeqlAmcQEqx2TcKHg95D8kqOIG43GRhWZby25IlVXy6hDBDi4PxkYXS1AgRB3jafWDYxRfXnbzqOjJPBEKFBpr7RBmgIgVRyIpA4rFsprHPG9RECUqcihKKK2xko2eyIpA4/TNbHitsLQ5GfTlxVHVqafEiKZDrJVNgRMuF8Kv5yzR6hkIFPA5n4YVsKrrJzJF7bUWWIQn2NdzGumQyMj716Z9hZGQG7e1h/NHdV5fldS/bQwobx44NmMJpsRo898JJAMA112zVpcBLnUBOnRpGJnPhyEujMqQ6gXR0mEsEQkXY4+Ozphj7KdXBsKHBPE4gPO/QnrvGTCK2mc/kJLkva2w0j/iGknUCMb4IJOsEEtS1H6VAnUDicUHb6GgVXj50FmNjETQ2BPCud15b9fapo+/YWKTi63hday8CAGQS5HszM0VEmovFppRCoi8KJ+tBQpxE39gLAIDYLFlXdooeTJw7B5fPh2vf+2dlaa+ukYhOZ8bIJoCU6kTpq2tacGxwLXHRqKtvx+zYaMFtueqI48foIInby6iOkMFweV2GOYcDcJPPpe/cqwAARl2LaGxZnXdscjgOKZYGy7Pwrcl3EZ0ZHMTAkSNgHQ68/s8/tGhbbe2bIDMMGADnTr2E8bFeMCARrs3Na0p6H4EuMl519W2YPH++pNeysbGxKQTrVXxsDI2QMq9bhcNJVtXFtDHjYDQnEI/5RCA+LQ7G2ErY02dGIcsKwmG/FjNhBQJaHIz+IpDcArIkZfDbR19d8tgLLSDU1Xm0hai+vsrniZoVKh4zozBvJQQCHi0jeWZaH7vWoRqIggHM4QQSt5ITiLd6IhC3GsGiZObd/6juHEuJQIQ4WQRyqXEwyeGsCGQpeBo9I2YX/WRZzhGBlM862qGKQIRUjghEdeeQQRabXA1ksSkTzYBhOEiiCFkq/D6Q5ej3I7s4LyTLKwIRVOcVOEhxU5kh//e0+7LuHEVEtCyFL0eQQ6NtAEASyL2cgy9cBEJFN5mYBCdPxr5Y4Y2NjRn49/94AgcOnoLL5cQXPvfOsriAAEBHexhtbSFIUgZHjpwvy2uamUxGxr59pEBxzdXVj4IBgK6uRng9PJJJEf395nw2GaJOIO3mEoE0NtaB41hkMrLmsmFkpqfN5wQCAC3N5B5tVN2oYTaoCKTBhOs8mhOIKeJg6EYe88bBBAJubQNNJGKtSJgXXzwNgAgm9Ygar6vzaudzpdfxNm4i7hycLGN6aigbm1JG50kAiJ0l5/z5qachqzGkyZj67DRHzqO1ey6Hp648sactHZtIG6rQRFJjU+oXiU1xNXihKDLc7gCmzvQX3FZQjUeJjBPBCdJkbaKhafVS/6RoXHWNAIjgZG52QitotrZuyDuOxqH619eDdeSXPc+99CIAoGvXLtQ1L+5WwrIsoDqd9p17FeOjvQAAmWXhLOL5NheH3wkpI4LjHJg+O1zSa9nY2NgUgi0Csakq2TgY8+2G1pxADCoCSaqFN7cJi7leTQRi7J1qPWqG8+bNHaazCL0QRoqDEea5CPzily8taUs4uswuErqLoBp5ombFzMK8lZCfkazPou/gkCoCMdmuyUIxkxOIFUQgHi8Z72RSrHhchtdLFmmXEoHQ389HcwLxeiGLGQgT5Brjbls6esrloa4j2fsBIRXTIlr8/vJ9j5zqLq9c15GEulNKYckjkqPOCcbJAjJQH2wDAIhFWLeyqq2wmBM9k1R3nTGO8twTa04gDg4MWDhiZJHK0+aFqO7K4spob+xye0H3U8diOSIQNTbIWcQuOs7tgMNPrkdNbRsBkEgYGxuzI8syXj3ci8HBKW3Ofv75k/iPB54CAPztx9+MjRvbytYewzC47FIaCXO2bK9rVo4fH0AkkkDA78buXWt06QPHsdi0meyMNWskDBWBdHSYS9jMcSyaqUBhNKJvZ1bA1DR1AjGXGIE+k5vXCSQbB2M2GujzrglETtlI36C+HSkBhmEQCpExt5wI5CUSI3f55RuWObJyrKlStHN9sBkZNbLzTM9BJGbJuo3HX94IHHGGPBuNzR0FpygYH+2FoDpCpifIc+W6PZeXrb3V6y8hf0glIMtyTmxK54JjWQcLIU3mjbkiRDctnURYm5qdRFpMZWNTWtcW0/ULEmxeBQCIjPdjdJScpzKAuvp8h5N0hIy3p2PhxpNzLx0EsPx4e9TXHB3sxtSEKnApw3M0wzAQZXKNj49ESn49Gxsbm5Vii0BsqoomAuHNV3B0aiIQg8bBpEzsBOIjhYp43OgiEKLU3bK5vNZ2ekNFILGo/k4sdI5Yv74VHg+P/v5JHF5iByNdYKKLevPR8kR7bRHIUlDxmBljpFYKXUCl1srVZtB2AjEEmYysXSe9XvOf7171Wp/JyBDFyopTPT51MVyed/+jLvK4l3DnyBWBpMYSgAI4Ak44A0uPP42eyaSz51FcFWYAgG+RLONiodEz6RwRiBbXwpBHJIZhtIiShmaymFWMKIHTXEey8xD9M3UJKRU63gzPIeRdB1bhwLo48GE30qoIpJiIlguhqILYeHRa+1kmTe4lqKtLoVA3kMYWUsAWE7YIxMb8/L9HDuJDf/F93P32r+D2Oz+Hv/74g/jMP/4XAOAP33ol3nDrxWVv87LLyHfo0CFbBPL0M8cBAHv3bobDUR73pWLYspkUYE72mFMEMkxFIO3lLZBVAxofOjo6c+EDDcD0FHUCMU8cDGB+EQgVUDQ2mE8EElYFCdMXiNI1Cstt5DELoRApMM/MWEcEMjoaQV/fBFiWwaWXrNetH9o6XhU2c3Gq4+Vg32tabIo/uLhDRDEoGRmZBHlWj2bINfTs6YPICAkoGSCpOuOsLaMIZP2my6EAYBUFoyOntdiUptZ1ix4vO8nvhanCn7lyBSdjubEpLeUXgbR1bgUACNEpTKpRN8q8qFNFUZCOkvfjmLfmkJEk9B16BQCwds8VF2wr1EycTOYmBxGZJnUAR5HPtvNhvEQMLs0Zc4OxjY2NNbFFIDZVJaU5gZhPBMLzZMHIuCIQWsw139jSgpyZnECshN9ATiB0jgiH/Ljppl0AiBvIYowvYyWq7SDos0UgS0GL4i4TzhsrpUG1Up7WyQlkRN1xaDbr7EKhQqKkQZ1AcmNTrOAEkmvPW+lIGJ83SP4gy3k/Z9Xd7D5fcMG/URQFQpKKQHxIDpM/e9qWjoIBFo+eiasuEzIARxnjTBaLntFEIFy2SKiJEprJwpmYKHyxd7HoGfpntkzviYpAWN6BpsAOAIC71QuGZZAWi49ouSCqY0o8kbV+z0j0unLhz3opqOgm3EB2e6VtJxAbk6MoCh75Odl5yDAMZmcT2LevB7FYCjt3rsKH/+L2irR7qeoEcvrMiCkKg5UinZbw6O/Iov+NN+7StS9btpBnSDM6gUhSBiMj5Hpsxnva1tYggGwB2shoTiBmi4NRn8nNKgKZUONgmhrNNe5ANjpoWqdNDytFENKac4b5RSBEeDNjoevrSy8Td4Vt27q0jWJ6QNfxquHo6wuTiJSJkbOQ1GezYKh8zmxSnDzTMhyDjLoEMXj+GJAWIUdZQFEQ7lqFYFv52vS4/ZBVccSxw48vGZtCcQbVZ1Gh8BLhug2XEcEJgBOvPQGAxKaU85mdsnbjZQAARkhhaoJE17Dznm1lUYaSJmsW1F2SMnT8GMRkAt76IFo3brxgW22rtgMAxNgMohFyHvJLuJ8WiqeJzB2cZP41KRsbG/Ngi0Bsqgrd5W/G6AG6a6jSO26LhRaB9MhtLBUzOIEIQlpTom/eZDUnEDL+RhCBaG5BbifedBdRwz/11DHMzSXyjlMUBWPLWImuWV36DgJJyuDo0T784P7f4/3/93t41598A8+ouwmtgNXjYAD9nUCSSTKv+X1lLr4aDCokEgzqBEJFhhzHgufNF0k3H45jNUFtpQWUXtUSl1UUyKoQREgltIgW7yIiEEkUoWSIaNbl9SI5TBbVPO0XFgZ41AzmXBFIIk7meqXMMWwuD+lLbvRMSs1pZrjsOUJFCaEGsiOoGCcQB78weiZd5ogWgYpAXDyaA2Thio63pIpAnHyZF3RZMk7JHBGILJE5gHcVJwKhopv6elIsFYoQ3djYGImenmH09o6D5x345f9+At//1z/HX37kDvzx26/BFz73Ts1tstyEQ35s3ECKCrXsBvLccycRiSTQ2FiHvVdu0rUvW1URyKlTw5AkY24sWYqJiTlkMjKcTg5NTeZzSmjRnEAiuvZjOWRZ1orKDQ3mcgJp1ZxAZi98oEGZVEUgDaYUgegbf7pS6Lnh9fDaGpRZsaITyIsvngYAXL5HvygYIBvrXA0nkEbVHSM2PQJZfU4LLRKbUixSlDwXOfxO+BvIOvLE8CmwskxEIChvFAzFqbpnnj3+AgBAZgB/YHEBp09193JxgYJjZl28G7L6LEvbgrMy4oY1ay+CDFLIHDz7KmnKk3+dpOPNujmwjvyS57mXXgQArN2zBwx74XLoug1EcMKKAuKzJCbHGyiPC1qduk7t8zQgkzbmBiobGxvrYf5VcBtTIZjaCYTGwRhTBEKdQMxYzKW7so3sBHL27CgyGRnBoG/J+BGzUkfjYOICZFkGu8wNcSXRnClcDmzd0oGNG9pw+swIHv3dYdz9tqu042YicYiiBIZhllyIXLOW3FwPD8/g2edO4NJL1mmCI4AISWZmYhgamsbg0DSGhqYwMjKDyGwC0WgSc3MJTE7MITFvl/0n7/sR7n7bVfjQB99QsYX7apFMmVc8tlIa1YW8qeko2lqrPz+makBoAxjfCYReX7xeF5gyiwn0wuPhIQjpyjuBqCIQBoAgJuBx+xGPZ+3UA/6FC0q5bhksnFo2r7vtwjaqXrrDJid6RnOZKPO1SYuekbLnbCpFFs9zI1qoKKGunhRTi3Gm4F3kOksdOYCsE4ijDAtlsiRBEsgY824fwj6yu4k6r0hp9XdlsrGlMJwDSAtIUQcVEAEPg6yrS6FQ0Y3P2wCO420nEBvT85tHiQvF667ZinA4gHA4gO3bu6rS9mWXrcfpMyN4+eWzuPmm3VVp02j84lcvAwDuuP0SXaNgAKCjIwyOYyGKEmZmYmhqMs8z5dAQiTdsawvp+qxYLJoTiMFFILOzCWQyRHBLnQbMgtnjYCYnTRwHo4pApqdjUBTFsM86YzlRMEbt40oJBlURSMQaTiCZjKw5gVxxhb6CSRoHMzIyA0FIV7R+0LlmF/oO/hqZ+CwYdQNDU/Oasr1+OkajSZxoatuAaO8xxMb7wQHIzKkikMsvHE1SDIGGDsxGJhAd6wUHQLlA/GjDhnaMnBxAINCK6MQk6pqbCmqLD4SRmR7V2nK4y/u8SXE4eCi8GxBTWluueVGxkjrezsDC99v7IhGBrGS8u1bt0AQn8clBcAD89YWNy1LUr2nG3P5Z+PwNmOrtR/Mm/aKXbGxsagdzV69sTIcgEAGFGUUgtNibNuiuHVpo9HjMV8z1qSKQuIFFIN1qFMyWzR2mf2Cdj99PilOKoiAeF3S1ftQK5i4eDMPgrrv24Ctf/QV+91i+CIQuIDQ0BJYUYoSCPjQ21mFycg6f+ORD4DgWO3asQn2dF0PD0xgenl5R8bSuzoM9l23A5ZdvxPnz4/jJw8/jZ/+1D0eP9eOzn367KS2RKbUgUMi3x61+hnktRO4A2XMoZXAnECtEwVC8XhcikfgCoVq5CeTsGopHp1URSAQAyfx1LbLQQ6NJnB4PhFFSxOfDLnDuCz96UMFJbvSMJjBgy1u8c6uCEyVHBCJqES3Z76vDR/7s4HhwDh5ionBRglMVX2TSWRGIlC5fREuuO0lz3RZwrBMpeQ6OOtJ36nbCl3lRjnWQzzOVzC6AUxcXt7u44hXr5gCWAWQFLre/KOcVGxujkE5LePzxIwCA2267pOrt77lsA37y8PN48aUzhi4MVoqRkRm89BIpat15x2U69wZgWRahoA+TU1FMT5tMBDJMxJ8dHQ0696Q4qAjE6AKFaTUKJhj06i5aKhQaBzM5FYUoSqZy3hOEtOaK2thoPhFIKEwECaIoIRZL6bqecyFyRSBmJxSkcTDWcALpOTWMubkk/H635lqlF6GQH3V1HszNJdHfP4mNG8sXlTKfDZuuwAsAuEx2nb+l7cJRIYUgRVURiJ9HV91unNv3c3BpEbLAACIL1uHA6osvLlt7lOaOjZg9exhcWnXGcC09J7gafJAkEQ4Hj6lT/QWLQOoaOzEzPaq1xRe5EWAluOrCkCaHtbZ8dY15v88d71ySc3MY7j4JgDiBLAfncEBxeQAhqbVVHy6PI7jD7UBKiMLtCmD67LAtArGxsakK5rkrt7EEWScQ8516Tid5CE8bNA6GFt7MKLAxgxNIT88wAGCTxaJgAOJy43I5tcUPPRcNRDFflHDV3s34CoDTp0fyFpO0BYQLuLIwDIN//qd78KtfH8KLL57GwOAUjhw5n3cMyzJobq5He3sYHR1hdLSHEQ75Eajzoi7gRjDow6pVTeC47I63iy9ai89+7r9x8uQg/uz938XDP/4Y6uqMudCyHJqDkAnnjZXSqMbBkEXV6otAtBg0l/kEeoVA3WRShncCsc7n4FVFnzRyqFI4HLy2EyYWnUZj0yrEY6QYJC9RUKTRJLzHi+TIyqJggIXRMyzLIpkkIpDciJZysFj0DHXnyI1oYRwMefMy4HL5ICbz48lWgstN3nsmnf2syhnRQkU3rMOBZh/ZvTeV7gXDkJ1OskTFaOW1OGfVc0NI5tiPqy4uHl9xC4AMw4BzscgkM+BdPlsEYmNq9u0/hdnZBBoaArrYq+/evQYOB4exsQgGB6fQ1dW4/D+yEL/69ctQFAV7LtuAjg5jiLZDYT8mp6KmKxxSJ5CO9urfS5eD1hbS79GxiKEFUTTOg4rYzUQw6APPOyCKEiYm5gzznVsJU1Nk3HneYcqYEhfvRMDvRjSWwtR01LAikFFNBGIeAdxShLU4GGs4gdAomMsuXa+7AI1hGKxd04wjr/Wh9/x4RUUgjU2rkGFZcOoGBJlh4J/nLlEKuc4UGzv34hn15zQKpnPHTvDe8jtnrFp7MU4/+1/a3+fHpuTCMAxS6Vn4HU2YG5wquK2Wjk2YOfWy9nfvIi6h5aK+sQtTk8Pa3+uCLXm/z3VeyeX8oZcBRUHTunUINK5M5OKub0R6fED7e7ixfC5+acThRgDxUXPGp9nY2JgP81XibUyLJGU0a0uXCYth1G1ATBvTCSSZNLETiE91AokbWARyitxobtliPREIAAQCHiICiaWWP7iCZONgyE17a2tQ2wVw9twotm4h+Zw0T3a5BYTNmzuweTPZyTA8PI2XD52FKEroaA+jo6MBbW3BgiNdrrlmKx74j7/ABz/0fYyNRXDolbO44fodBb2GUdCcQEw4b6yUhoZsHEy1URSlJtxWAOM7gdDrS24klNnxqIKWZKLyY64wLKDImviDCjPALG4JL8ZJccvl8yE5TP7sXoEIZLHoGUF1mSi3CGSx6Jm0QAQHXE5ECxElcKoowa8JLgrBrQpOcqNnyhnRIiSy493Ak2zridQp7fdyRgKLrBilXHBOFxGBpHIWwNVFVK+n+AV+1uVAJpmBy+UvSnRjY2MUfvtbEgVzy827dSmqeDw8du1chVde7cW+/T34oxoSgUhSBr/69SEAwBvfqL8LCCWsRnxMm6xwODw8DcC8TiD0mTGZFDE3l0R9fWXs6ktlaoqcFw0mFIEwDIO2thD6+iYwODRlKhFINgomYFiB0HKEGwKIxlKYnophzepmvbuzKNk1nKC+HSkDNK5pJmIuQd9SHFRFIHoIVhdjjSoCOX9+vOJtsR4/ECfPtkqZnzelKHlOd/id8AUbkGE5cHIGMo2C2XN5WdujbNh0OZ7I+bvbF7zg8QpPNkWI04WvB69adzG6n/qx9nd/sHLzT2vnFkx1H9T+HmrozPt97njncvYg+TeFjHeweRUmckQgzS1rC+7vUrA+BpCAzJwx60s2NjbWw3xhnjamhe6GBszpBMIb3QlEUHf0u81XzKVOIMmkCDnHAt4oiKKEc+fGAEATFFiNgJ8URqkNql5ozhRqQZlhGGxRhR893UPaccUsILS3h3HXG/fgD9+6F3v3bsaqVY0FC0Aoba0hXLWX7LZ+7WhfUa9hBLLxO9YVKDQ0qAs003HIslLVtkVRgqKQNq0stAGy78/4TiDWiYPxeFQXrQrHwQAAWPLIkEiQuTcb0bL4owR1AqkPtyMTlwAWcDcvX3Dx5yxQxaOk4CQKNKKlvN8hj4+KQLL3HWmRXAMd89w5WBe5B3QV6Uzhoq4jOSKQDLXMdZUuzKDCFF99A/wM2d00Hj+p/Z66nXjKbM9Lo2xEISvUYNQ5z1vCLjrWRc4r2wnExsxEInHs298DALhdhygYyjXXbAUAPPvsCd36oAcHXzyNiYk51Nd7ce3rtundHQ1aOKSxH2ZhWI2DMWsMpsvlRDhMxn50dEbn3izNNHUCaSguUk1v1qwm9yDVKNyWk8kpcl9rxigYSoN6fuux8WGlWCoORnMCMb8IJB5P4dixfgDA5ZeXLwqlFNasIUKCaswlvhw3iQvFphSD5kyhihI4XwCKknUCWXt5ZUQg/kAYmRxBy/zYlPnwIfKczQiFC5Y3bNyD3FW2YLhyzi2r1+VH5zQ2r877u+a8kiMCURQFvS+9CABYW4AIpLVjS97fm9vKF9viaSLztUMxpmuTjY2N9bBFIDZVg4pAGIYxVT4oxan2OS0ZU6mZsoATiKIoSBqwgHj23CgkKYP6ei9aLfDAuhjUMlRvEYggkEIVz2dv2rdsJu4r3T1Z2z8jLCDs3EkeOI6+ZmYRiHnFYyslFPKDYRhkZBnJZHVFfHniRxNe9wqBColSqbQmfDESVo6DqUqUGkcWhJKq+CORUBeYl9gtRUUJTU1kIdHd7AXrXP6xw8m7QSUZ1HVksYiWcuDLiZ6haBEtznzHGCoCKVaU4PGQokJu9IwsqSIQdzmcQMh4t7ZtBcMwmE0OICFMZw9Qc66pI0m5oCIQKp5Jiynt4dK3zI6zC8Hlim6KcF6xsTECv3/iNUhSBps2tWP9+lbd+nHdtdsBAEdeO28Z2/qV8ItfvgQAeMMbLjbU2gMVIpjts8jGwZhTBAJknxtHRyO69uNCmNkJBMgWbvv6JnTuSWFoTiCN5hx3IBshZGSBGV3DabVAHIzmBDITM+SzbyG88movMhkZnZ0NhhH6aSKQvsqLQMKt67Q/O8v4rCSnZcgp8gzmCJDnWF+oDUqcAWQGDM+hdeOmsrU3H0dONGddqOUCRwL+LuLy5XYW/t30eOsgO7Lrt+WMTZnPug2X5QlOmluzwgxFUTQRCB1vAJjq78Pc+Bg4nseq3RetuK21G7IuchmGgcddPnFmcB15LvB5GpBJG68GYmNjYz1sEYhN1aC7g3neYUqLRadq4ZtOG9MJJEmLuSbc0e9yOcGy5JyoSjGrQHpU8cGmTe2mPHdXAhWBxPSOgxHynUCArPtKd0+uE0gEgL4ikF2qCKTn1HBesd9M1EJUicPBIRgkRdZ4vLpRJXR8nU5O92zdSkMFiIqiQDSgY1ZcjUyxkhNIrotWpaFRLCk1BkZU4z/YZUQg4RCZJ91tKxc6KOp1Nh6PkNdSXSZyI1rKgT83eiZF2pDSqghknjCD46kowY90EfEkHroIlxM9I2doHFfpi410vBubiIXzRPSYJjIhjakRLd7yLro7VccUKp6JqZ8ZAPgCxS8i54luErYTiI05+Y0aBXPbGy5e5sjK0tYWwsaNbZBlBS+80K1rX6rF5OQc9u0jLix33WmcKBjAnHEw8XhKiwxtbQ3q25kSoJs5RtXnSCNCnUBonKXZWKsWbnvN5gQySe5vzTruQFZgNjVlTCcQRVEwNm6dOJhgkDiBiKJUHVfGCvKiwaJggOxcMjAwlbcGryhK2UU3Hauz0c7uEpwM50MFCSzPagL3xrZ1yETJn/2dDWC5yq0R+RuyUebzY1Pm07CJCDd8vgbEJqYveOxiOHPGramMsSnzcbm9kNWNITKAcDj7HjPJDJQMOTccvuz6JnUBWbVrN5zulUcDr1m7W9ucgjI7kobWtkGWM+B5L6Z7h5b/BzY2NjYlYotAbKoGLZKatdioOYGIxnQCEWgx14ROIAzDwKcWs+JxfUUIi9Gjig+2WDQKBgD8AWPEwVAnkNx5YssWMu7nzo1p84i2gNCs3y6StrYQGhoCyGRknDg5qFs/SiGlzcvmmzcKge6mi8WrK9aphbgdiivnPRoxEsaacTDke5tMVl48SaNYUslo3v8Zx+LnNhUl1HmJHaynrYDIE5YshiVUQUFaUCNanCtftFkJfn9WpBCNkcUuLaKFzxeBsO7SnEC8PiI4yY2eUST1eucpfVcRHe9Q/SoAwHj0OGQpu2DKKKRdLQKnTPAuMk5UBEI/MwWAiy/e4STrBFKc6MbGRm/Onx9Hd/cQOI7FLTfv1rs7uO5aEofyTA1EwiiKgq99/VfIZGTs3LkKa9deePdrtQmFzRcHMzFBCuQBv9vU91FUwGJoJxAqAgmbMw5mdRUjHMpJ1gnEvHEwRncCmYnEIYoSGIZBU5N5x5ni8fDas5jZnJ1yicdTWnSdUaJgAKCpqQ5erwuZjIzBQeJE9eOP/SW+cvutGD97pqxtrd98pfZn/zKxKYUgxchzpSMnmqStYxvkCCnFNWxet+i/KxdNbVlRT2PT6gscCXiCfqRS5Frf+/whHPzpw3j4b+7Ff37ozxGfWT5CLdCQXStvba2smIhXN3IoHAc2J5qWjjfnc4DhyKaSjCSh++mnARQWBQMQh1JFdb3kyhwTxDo5JJJk/WHm7EhZX9vGxsZmMWwRiE3VoMVdl0mLYbyTLEiLBncC8ZhUZEMXlBIJ46noqRPI5s3tyxxpXjyqCEBvRwsqZsqdJ1pbgqiv90KSMjh7bgyiKGk7XFp0tBJlGAY7d5KC29Gj/br1oxRSyYXOK1aE7uqKV1sEojrbuCwusgGI44pTvU5Ww5miUBKqUMLrMW/xYj504bEau8+yIhCyyKm5cyyxK0ZIJsC7fHBwZOGEbyhAwMFREQgR+1GBgYMv72eXFz0TJYuLmSUiWli+NBEIjUbJjZ6hriAuT+kL4UIiAYZh4ebJa0WS56GoTiMZScqJaCnvNdOl2uJm0uT7FY+TRUKFYfIW5Qql1PgdGxu9efY5Ira4/PKNmmW8ntBImJdePoO4AV0Xy8lPf/YCnnr6GBwODh/+0O16d2cBoRARRc4YtFC7GOMT5HrcpKP4vhxQEciYkZ1A1DiYsEkdKVavaiSxdLMJUxXG6dqCmUUgDQ3GdgKh37uGhgCcTuNEdJUCXWMYH5vVuSfFcfr0CP70vd/ByMgM/H43Lr2ksqKEQmAYZoGzkBCLQ4jFMDNY3g1YLS1rkVGdKAPLxKYUQjqqRpP4yfPy9MAAjt7/CygpFmAUrN5TWaeyzjW7tD+3tK2/wJGElETO4+O/fgK///Y3cfbAfgy8dgQ9zz2z7L9taifCjwzDwFWGqNMLUddIBCcMn7++IKnj7VTHe25sDD/88AfRf+QwGJbFxquvLrgtV4AITpze8l+TJYaspyTHjDln29jYWAtbBGJTNWhx2WWgTN5CoA8qUtqYTiC0mGvWYqPXp4pADOYEkk5LOHtuFIC1nUBcqghA7x38WhxMjgiEYRht7Ht6hrTdaDzv0Gw49YJGwhw92qdrP4qlZpxA1HznWKy64gShBuJ2cqHfW/o9NhKWdgKpgniSU21XxVQcACAI8byfz0dMJOD3k51UnIcD61j5I8f86Bka0UJdJ8rJ/OgZRaLf2fyiba4zBXXdKISAGo2SGz1DRSA+b+kFBzGRgNcXBsOwUBgZqXREe/14IqId5/M3lNxWLi41yoZGzyRV4Y5SYnQeq8Xv2CIQG3Oy/8ApAMDVV23WuSeEdeta0NERhihKOKj2zYq89lofvvMvjwIAPvwXt2HHjlU692ghNLJhJhLXuScrZ3ycXI+bm8wuAiHFHNsJpHK43TzaVLGNmdxAqNCp0aTiGyDrfGlUJ5BsnK+555FcOtrJ/f3QcOHxGXqiKAp++auX8b4PfBcDg1Noaa7HV7/8Hvh85XVdLJXVa5oAZOeSUCeJNJkZKm98BsuycAZJWxs3X1W216VxMI6AEyefehL3/9n/wdT5PsChwLEuje2XXl+2thZj6/ZrkWEYZDgHgqG2ZY/n68k6STDUgXWXX4H2bURAHFnBeO+8+FYoADh/5b/fG3dcBwDwh/M3aeaO99mDB/CD974HQ8eOweX3462f/RwaV68puK32dSTSsbG9/C45rJ+sj2Ri8jJH2tjY2JTOiqrxl1xySUEvyjAMfvGLX6Cjw7oFU5vCocVGszqBOA3uBELH1+xOIHGDOYGQDMoM/H432tpCenenYtDiLXWU0QvNMWjeebx5cwcOvnga3T1DWL2KPKC1tgTBlFhoKpWdO1QRyLE+yLJc0s5nPRBSNeIEEtbJCaSG4mAAEkcWjaWQSho3DsbntY7giV43qxEH43S6kUbWAURaJqJFTCTgC5C5mu5+WimsGjFDI2eoy4SzAiIQsByQkbQYEzkjgUNW3KAdlutMMVe4CMQ7L3rG5faWNaJFTCTgDxDRjeJSACha9Ew8prpzAPCWQXCSC42yodEziTgpFNJIn2LhSozfsbHRk7m5JI4dIw5xe680hgiEYRhcd+12/Pgnz+GZZ4/j9a/fqXeXys70TAz/39//BJmMjJtu3IU/fOtevbu0KGHVGSYSiZvm2WGCOoGYPMKhtSUIABgdW97aXg9EUcLcHLnmNZhYjLBmbTOGR2bQe34cF19sHGeBpRBFSYubWLWqfFEQ1SZMnUCmjbmrfGxM/zjfctPZ2YCDL57G0NCU3l0piO//4Pd44MGnAAB7r9yEv///3Y36+sq6NxTD2+++Gm964x4t1i3UQUQg00Plj2L+v3/7M4yPn8fqHPeMUqHOFEOnjuKX//r3AICu3btx41/9JVgPh1C4sk7T/kAY7/7kz8DznhXda3RcvB0zL0/goje8Ca03rsJL//0zDJ84viLRzboNl+Lue/8TjU1d5ej6BXndDfego2sbulZtz/t5WhWBTI2cx/98+28ARUHrps14y2f/EaH24uqTb33nZ9B75Zuwdv2lJfd7Ph3XbEVseAobN+0p+2vb2NjYzGdFIpDDhw/j3nvvhd+/vBpdURR88YtfhCBY22bUpnA0JxCTFhupE0jaoE4g1H7f7TFngYuqzo3mBDKrFnvCIb/ugoNKQneUC3o7gaiihPlisS1byANSd/cQLtq1BgDQbIAFhE2b2sDzDszNJdE/MIk1q5v17lJBJGtEpBAIkAxPQaju/J0y+XWvUIztBEL6ZCUnkGrGqDlc5BqdFklxQlT/7+CXFoFQUYIjUNj5zzp4yACEJNklTSNaXK4K7IrliAgkmVDFCxkiZvDMi2jJOoEUJ0pwqdEzLIB4bBrhcDsYNRnG5ytdYComEvCpziuslyzyMWr0DBW4KEDZi41uVVSiqOOWSqmFB640EUhe/E4Rzis2Nnry0kunkcnIWLOmyVAC8uuu3YYf/+Q57Nvfg3RasowdPwDIsox/+NTDmJycw5o1TfjE3/6BYZ/bqIthJiNjdjZhiLig5Rgft4gIRHWoiEQSSCZF7fnXKND4FIeD055dzMjaNc3Yt68H5/sm9O7Kiujrm0AmI8PvdxtifaFY6KaHSCSOTEYGxxlLYDaqOYEEde1HOenoICJvKiIyA5KUwc9+9gIA4M/eeyPe8+4bDCtG3LAh370ipG40nqmACMTjrSurAAQAJNWF9sQLvwcAXH73H+HGP/8QWEf17r9aWpePgaE4A+SaKKfIRoKs6GZlziurVu8osHfFs27DQlGGFCXjfeaVFwBFwa7b78BtH/trOFzFr/+wLIv1Gysj0mhc34XG9ZUXzdjY2NgAKxSBAMDf/M3foLl5ZcWtr3zlK0V3yMa6CGZ3AlEXpEXReE4gmYys9cusxVyvujs7YbCc6niMiFL8fmNZI5Yb+r1M6e0EskR8xpbN5AHk3LkxDKgP2UZYQHA6Hdi2rROHD5/H0aP9phOB0M/brOKxlUIXecUqi/hSNeK0QqHnkRGdQOKqwNBrMJvbUtDiYKrgBMK7SNFKUsUfGVF15+AXL1II8ThCfrL70+Ev7PznnC7IAEQ1ckaW0mCAiuQLk+gZISsCUd0zPPMcM3KdQNKJ4pwpFIYBFAWJWASpVBS0POnzBYt6vVyERBx+1XmFVxfwWJDoGU0EUoEFXo9XLZbIqghEHUeWK23OY/NEN7YIxMZc7D9I4laM4gJC2b69Cw0NAUxNRXHo0DlceeUmvbtUNo4dG8ChQ+fgdjvx+X98p6EFnw4Hh/p6L2ZnE5iZiZtCBDIxqcbBmLhADhBRuN/vRiyWwujojLa73ChMqTEeDWFzbz5ZrT4Pn+81RxwMjf5dv67F1OMeDPrAsgxkWcH0TAxNjcYSbY1ZUATS2UFiFgeHzBMHc653DImkCJ/PhXf/iXEFIIsR7qhMHEyloPEkk4NnwHAcrvuz91dVAFIonI88v0mqe26u6EZRFMPPj3S8R86dAABc/74PlCQAsbGxsbESK7ra9/b2oqmpacUveuLECaxevbroTtlYEy3mwaQiBad6syZJxnMCoQIbAIbb0bJSfF5SmIsbTAQSVUUgPouLQNxutXgr6Fu8FURVLMbnzxMtLfUIBr3IZGTs29+j/cwI0EiY117r07knhbOU6MZqeNV5MS1WN29TG1+XOeflQqHnkTGdQKwXB0Ov94lk5cebRrFIqvhDUiNa+CUiWkgcDHGmoLuKVtyWGjEjpIgIRMmo3yNP+a3Rs9EzpMBFI1q88/KM2RKdQMiLkMeueHwGsbnsYrG3zHEwLnWXOUCiZ5KJaF775cSniUDIuAmqcIdxlHZN4TTRjR9pOw7GxkTIsowDB6gIxFgiC5Zlce3rtgIAnnn2uM69KS/n+0ixefeuNVizxviCbBoJM606PxidiXFVBNJkjGevUmhrJe48I6MRfTuyCNNT5HodNnEUDECcQADg/HmTiEDOjgEA1q1r1bknpcFxrCbUGjagKGGcxsFYSQTSSUQgQ0NTUFQHPqNzVF2z2rF9leHcYpYj1ElECXPj45AM7j6fETKQ1bWnWGwSrRs3gvcY2+HJ4SM1j0xCgiIrqG9tA8OySCeTiM8YM0aNosiKJgKJzY0j2NaOQKN5471sbGxsys2KrvirV68uSPHX1dUFrkQbYBvrIWgxD8ZVvl4I3sBOILnuDWYV2RjWCUTdPe630O7xxdCKtzrv4E8tIUpgGAabN5GHvlOnhgFkc531ZtdOIgI5esx8IpAkdaow6byxUjxenZxAhNoQ2VComCxpQCcQS8bBaE4glReBuNyqfb0q/pAlVQSyhDuHkEhozhSFOoHMj55RMuR7WxkRiBqFloxDlmUtQsXrDeYdx7nKEE/CkvvfZGIOiQRZCJcBOBylC5Ny42A8IR+o3C0em0YyOZvXfjnx+oMAstEzNMKHK5MTCMc5IKdl0yys29icPj2C6ekYvB4eu9T4QiNx7bUkP/25508ik6muMLaSUCv+rq4GnXuyMkJhVQQybQ4RyPiEGgfTbCxngWJoUSNhRkeNV9DKdQIxM6tXk/u/yakoolHjCznPUSeQ9cZyhimGrk5yLzhgwHiSMTVWqtUgG3nKQVtbCAzDIB4XEInE9e7Oijh6rB8AsHPnKp17UjjeYAi8xwsoCiIjI3p354LQaBJJFpCRRHTu2Klzj5aHczsABoACZJISHDyPuhYyL84Mlj+Cp5xICQlQAAUykokIOndUL5rGxsbGxgwULPtcs2YNPvOZz6C/v78S/bGxMNQJxKw7omluciYjQ5aNtWhGC25ut9PwFm1L4fGQwlw1djQXQqxG4mCoCEDPHfyKomTniUWK5lu2dOT93Si7SHbsIA/Q/f2Tpnn4p2iiG5M6CK0UOr9U2wmEjq+rRkQgHlUEIugcK7UYVGBoJREIPa+rIwIhBQlZIm1lJHpuLy7MEJNJ+PykGOcIFHb+O3nqOqIWDmQiAvF6y79ozDnJGIpCHIKYyEa0+EN5x2VFCU5kihQDM46sCCQeI8UnhSnPDjwhxwnEEXCS6BmARM8kSVGJRN+Ul0CAfMY0ekYUiUCG40v7njEORntKdTo9kETjzSk2NotB3eouvWw9eN54Gx8uuXgtvB4e09Mx9PVN6N2dskFFIJ2d5tj1GQoRYeWMCZxABCGN2Vkyt1vDCSQIABgZiejaj8WYnladQMLmdgLx+91oaiKCofMmmGfOniNOIBvWt+nck9KhzhSDg5M69yQfUZQwpTrdGGUNpxy4XE40q+e6WSJhNBHIDvO5tzMMo7mBGD0ShrpSxOPq/YkJRCAMy8AxPxKmPRsJY2SkGHlWFIQoFEVBx07jj7eNjY1NNSl45fHee+/F//7v/2LdunW4+eab8fDDD0MwuA2XjTHQYh5M6gTizFnIS1d5N/ly0MI93YVtRqitfcpgIhDNCcTqIhA6/in9dvCLoqTt9l3M0WbL5nwRSLNBdpHU13u1HU/HjplHICnLsuZsZHknEHVurPbcnaoRpxUKFW8ldZxHFkNRFGuKQFSHm2QVHLTcXrLAqWTInKFIasSf27fo8azMaW4QdDFppfDzomdo1Ii7DLEp83GoIhAhFUc8FtF+7vcF847LFSVwLA9ZKlwIwqrjkUpFkVTjZ8oV0SKlRHhU9xKH35mNnknMQkiRImMlMqh9vqxYJh6fQVogwh2Ho0QRCMNo7isul7949xUbmyqzX4uC2axzTxbH6XRgtRrVMDBgrCJhKQxoIhBzOIHQOBgziEAmJsj1yuPhLfE83NZGrluGdAJRi+QNDeZ2AgGgxTIZPRJmbi6JcdWhYt06CziBqG5IAwPGcgKhbkIulxP19Yu7CJqVjpxIGKMzMTmHkZEZsCyDbdu79O5OUYQ6OgGYQZRA1kMik0Ss0rlzl57dWTGclzwvSnHyrBvqpONtcNFNlIz37AxxiOkyyXjb2NjYVIuCVx4//OEP49ChQzh06BC2bduGj3zkI2hra8Nf/MVf4JVXXqlEH20sgrYj2qTFMKcjG3FkOBGI6gTiMfFu/mzx0FgikGi0RkQg6vdS0LF4KwjZthebJzbPE4G0NBtDBAJkI2FeO9oHWZbx6uFefO9fH8Orr57TuWdLkyv4MfPcsRLo+xPT1XUCEbQ4GGuPL4W+z5TB5nFRlDTbeyuJQOh7SSTFisdleNQoFk0Eov7f413cGt7JEXEI62HAsIU5lLk85N/SyBkaNeKbJ8woBw6eZDNLYhLxGNnBJwNw8vnXfIZhwPI5kTCpVMFtsU51HkrGkUyoIpAyxWc6oJ7XnEJcS7TomVktooUtQ+zMfFxurxY9E4vNaBE+NNKnFFhVNM67fBCTtgjExvjMziZw4sQAAGDvlZt07s3SdHURt4x+i4hAFEXJxsGYRQSiOj2YIQ6GFsibGutM6ziaS1srEYGMjBhPBELPB7M7gQDAGnWDhNFFIOd6SRRMS0vQEus9NA5m0GBxMGNjEQBAS0u9JeaRXDo7qPuKscZ8MY4eJfHF69e3wmfSZ+JQB1kTnDa4CCStihJic+Ooa25BXXOzzj1aGXTzRkZ1AgmbTHQTnR0D7/Giae06nXtkY2NjYyyK3n62e/dufOMb38DQ0BD+4R/+AT/4wQ+wZ88e7N69G//+7/9uZzfbLCBbDDOpCMSZXagX08VZgVeKpAV2m2edQIy1g5w6gfh85l8UuBD0e5kS9BeBOBwcHI6FhbGWlnoEg6Q4GAx6DVVY36mKQB599FX8wVu/hA/9xffxnz98Gv/0pZ/r2q8LkftZG9GyvJxQx4S0WG0nEHNf9wpFm0cM5gSSyHHKsJLgyau+l0wm6+pTsbb8QfIHNZqF/t/tWViokDMZuHkiDuEKdAEBshEzGSkNQUxpDyveCohAqOtIWkwhoQozlCUWpzk3dabwQUwWnnHPOWhcUgypJNnty7DlmXudLHkfrIcFwzBa9EsqMQdRiOe1X27oeMXjEUgiuWdyquKaUmBd5JPnXT6IicLH28am2hx88TRkWcG6dS2Gtrtfpe0Ut4YIZHJyDoKQBsexmsuD0aFxMNMmcAKhO/ibmhcXfZqNVjUOZlQtShuJqWnrOIGsNYkTyNmzJApm/Xrzu4AAQKc6vw8OTRlqTX5sjMwjRr42FktHRxiAOeJgslEwq3TuSfFknUAM7kyhxpPEYpPo3LFD596sHIePOoGQ9ZygSUQ31AkkFp1Ex/btYMu00cLGxsbGKhQtAkmn0/jZz36Gu+66C/feey8uu+wy/OAHP8Ddd9+N++67D+985zvL2U8bC0ALvGZ1AmEYRhOCpCtcbCkUGqHiNnFxixb0jeYEEovVhhOIizqx6BjHk3ULWrwoxjCMFgnT0hysVrdWxM6d5EF6ciqKiYk5rTg7NDwNSTKWcxBFyHFnYssUSWBUvDlOILJcPTcQsztgFYpRnUASCRqZ5gTHWedczxXCVXru9qlRIzSahYpAvN6FjkxiMgm/nyxC83WF7zLTomekNBKx7IJqwB8u+LWWIxs9k0Iiru4KXmI+ZF3UCcSPdBHOFA7VXURIxZFKli+iRVEU8DwpGFHRDX3dZHIOopDIa7/s0OiZ2AwyaVUE4ird6jsbB+NDugjRjV784Ac/wK5du1BXV4e6ujrs3bsXv/3tb7XfK4qCT33qU2hvb4fH48H111+P48eP572GIAj48Ic/jMbGRvh8Ptx1110YHMxffJ2ZmcE999yD+vp61NfX45577kEkEqnGW7RZggMGj4KhUCcQq4hAaOxBa2twURG5EcnGwcR17snyjI8TgWRzk3EcGEuBCoWmp2N5LpRGYGpSFYFYwAmExk6d75vQuScX5tw54gSyfl2rzj0pD+1tIbAsg2RSxKQaL2QEqBNIqwVFIJ0mioM5+hpxAqEutmYk3GkSZwpVlBCPTpomCgbIPkvSOBjqBBIxuOgmrYpuyHjv1Lk3NjY2Nsaj4JXHV155Bf/xH/+Bn/zkJ+A4Dvfccw++9rWvYcuWLdoxt9xyC6699tqydtTG/AiCmh/Pm7cY5nQ6kE5nkDZYUZfu6PeYeLe5V3MCMVbxMBavDRGI26XuUDaAE8iFHD62bOnAgYOnDLeLZFVXI/7Pe27A2NgsrrtuOy7fswG3vOEzSKczmJiYM+TORFo09njMO2+sFI8nW4gWBAkuV3XsT1NCVnxQCxjdCcRKUTAAwHEsXC4nBCGNZFLUnJIqgddP5jBWUSDLshbR4vEtIgJJJOALEBtwZ33hY54bPROPk52DCkj0SLnJjZ5JJdTFcnbxImKuKEFIFC8CkcQkRIGKQEqfGyRRhM+XL7phHTxkkOiZtOrO4XBW6PxnOSCTQTIxi4xEhW+ln4tZ0Y254mA6OjrwxS9+ERs2bAAAPPjgg3jTm96EV199Fdu3b8eXvvQlfPWrX8UDDzyATZs24R//8R9x8803o6enB4EAOfc/+tGP4pe//CUefvhhNDQ04N5778Wdd96JQ4cOgVN3tr3jHe/A4OAgHn30UQDA+9//ftxzzz345S9/qc8br3FkWcaBgz0AjB0FA5B7VsA6cTCDQzQKplHnnqyccJiIQMwQBzNBnUAsIgIJBDzwel1IJASMjM5gzWpjWPQrioIpC8XBUCeQkZEZJJOiYZ34NCeQddZwAnE6HWhtDWF4eBqDA5NoajSGgw913mk2UJxvuaBxMEYXgQhCGj2nhgFkXWzNhKIoSKdE+BqaoYBFZGQMqXgCmXQGYkqEIlU39vdCKIqixZPEYtNo2bQFYlJY5l8ZBPXRNB0VISYFeMONUMAiMRfD7PgkPAFjXp+kObLuFo1No2XTVvOMt4rTzVsuKsvGxsZYFCwC2bNnD26++WZ897vfxZvf/GY4nQsXL7dt24a3v/3tZemgjXWgxbCldvmbAaM7gbgMFI9RKNTFRE8nisXQnEAsHgdDF2ZEUUImI+uyW15zTbhANMkdt1+KEycH8da3XFmtbq0IhmHwvj+7Oe9nrS1BDAxOYXhk2pAikJTmzmTeeWOl5F53UikRdXWVK5bnIqSWFzZZCY9B5/F4gszjVhOBAGTMBSGNRIUXOnyqCIQBkEjMaVaCft/CuU2Ix+EPkGKcM1D4ua+5i8gZJGLEnUOu0KKIy00KcRkpjSSNaOEWvwblihKKcabIjZ4RkmT3N+so/ZwU4nH4/WS8XSESw8I5XZBBomckkfTVUYaIlsVgOCeQFpFKzEFOk+8+7yl9js2KbvxFxe/oxW233Ya6umzR5XOf+xy++93v4sCBA9i2bRu+/vWv47777sNb3vIWAEQk0tLSgh//+Mf4wAc+gNnZWdx///344Q9/iJtuugkA8NBDD6Grqwu///3vceutt+LkyZN49NFHceDAAVxxxRUAgO9///vYu3cvenp6sHmzsZ0orEj/wCQikQTcbid27TJ2caVTFYHMzMQRi6VML3SnTiA0BsEMhMLUCSQGRVEMvfA/MaE6gVgkDoZhGLS1hXD27ChGRyKGEYEkEoK2IYKKhMxMMOhDMOhDJBJHX98Etmzp0LtLC1AUBed6aRyMNZxAAKCrswHDw9MYGJzCxRev07s7AIBJbR6xngikXY2DiUQShr6mnjg5iExGRmNjnRaLZSbSKRGfueM+8hcnWQv8p7d8FgDwyr/s06tbi+J2u/HOt72TiPuEDfi3jz6od5dWTEO4AW++482IDE7je3f8C/mhOt7//PYv6tizpWFZFu95x3vAMAymUqvww79/BMAjenerIP7+158D77HeWpWNjY1xKLgaf+7cOaxefeGFDZ/Ph//4j/8oulM21kRzAjFxMczpJF8ZMW0sJxAaoWJmJxCPQeNg4qoIxGfQh7lyketUIAhpXYqlmijhAudxR0cYX//q/6lWl0qirT2MgcEpjAzPAJfo3ZuFCKnacalgWRYeN49kSqyqQIHOZ7USB0PfZ8pg9to0DsZnQRGI1+tCJBLX3mOl8PuC2p8nx89n2/cvFIGIiQR8qijB4S/83NfcRWQZiQRZNAZTGWGii7qOSGkIy4lA+BxnikThogQakZJJp5CmwowyuHOIiYQmunGoohsH70YagCgkIKUFtd/ld1IBstEzqWQMciYNFoDbXXoBK88JpAjnFSOQyWTwX//1X4jH49i7dy96e3sxOjqKW265RTvG5XLhuuuuw759+/CBD3wAhw4dQjqdzjumvb0dO3bswL59+3Drrbdi//79qK+v1wQgAHDllVeivr4e+/btW1IEIggCBCErGJubI9+vdDqNdNpY87bZGBokQoS2thAURUY6Xd0dqfTzW8nnyDtZNDQEMDUVRe/5US1q0awMDJC4ibbWoGnO44CfzP2iKCESiRm2aAgAY+MRAESYYMTxLeTcpzQ31+Hs2VEMDU0inV5bqa4VxNgYEb16vS44HIwhx7pQVq9qRCQSx9lzI1i/3hhim1zGxiKIxVLgOBZtbfWmHPPFzv/2DnJv3tc3bpj3NDZOHIVCIa9h+lQueCeLcMiP6ZkY+vrGsGlTu95dWpQjR3oBANu3d0KSjLWpcSWkTdTngJ88X8YT8apGEZeDeIJsVPB6vGBZ1hT99/v8YBgGaSmNVCqld3eKIi1JYNKFrXcUc/9TDFabs21sapWCRSDLCUBsbJZC0Hadm9cJhDeqEwjdbW5Qm82V4PbQGAFjiUC0OBiLO4HwfL5Tgh4ikJXEwZiJdtX9Y3hkRueeLE4yRWOkrDHey+HxVF8Eos3NNSC0AbJOIEaL9bJqHAyQjVJLVtgJxMm7IQNgAUyoIhAFgNe7cGewmEjA6yO74hyBws99f4Ds5mYVBclEhPyQrYwIhLqOKBkJQopGtCw+J3LuXGeKwkUJLjdxx8ikRYgC+fc0IqYUxEQ8G7+jim7o66bFJDLUncNdGQckGj0jpKJQMuT+2O0pfcc4mxO/YyYnEAA4evQo9u7di1QqBb/fj0ceeQTbtm3Dvn1kp2JLS77tfEtLC/r6SE776OgoeJ5HKBRacMzo6Kh2THPzwoJac3OzdsxifOELX8CnP/3pBT9/7LHH4PVWRiRUKxx5bRwAwEDAb37zG9368fjjj6/oOK8XmJoCfvXLJ3DurHliVBbj5MnzAICRkXP4zW+m9e1MAfA8C1GU8fP//Q3CIeM+Zw4OEpHNqZ7XMBs5q3Nvlmal5z4ACClSkH5h3yE4HBOV6lJBDAwQUZ7Lxeg6h5QThiHX7ieeOAApPaRzbxZy5ix5Rg+FXHj88cd07k1p5J7/c7PE3eTQoRP4zW+MsW45PEyEkt0nj2Bq8rTOvSk/Hi+AGeCXv3oCW7cY05XqySdJZB3Hxkw5xyiKgks+eBUAYOAXP0e09xxab7gR4V27de7ZQkLpOiAFJKLD6LxIQfNVV+vdpZWjAHJMBsuwuPz9r4PIpjH0+O8we+I4mq68Ck1XGMuRGQACkg9IAvHoBNq2JND2+pv07lLBPP7E40W7whVy/1MMCZNuxrCxsclnRdX4cDiMU6dOobFxZQsEq1atwnPPPWcLRmzyyIpAzFsMc6qF8rRkLCcQKpxwm3hsNSeQpHFUppKU0Yq4Rt6hVQ4YhoHb7UQqldbec7Wh0RlmForl0mZwEQidNy7kvGIlPB4emKluVIlQYyIQt2GdQKwrAvF41WtnhZ1AAEBhWECRMTNFFvIVEJed+QhzKbhYP2RZAucpfD7PjZ6Jzqn52ku4c5RKbvSMoAozOMfi39c8J5AiRAkuN9kVlpFESCI5J51lEIEI0QRcLiLwoE4gTjX6JS0kIUvUkagyIhDOqYpAkjFAJvfHHm/pedFcrhNIcq7k16smmzdvxuHDhxGJRPA///M/ePe7341nnnlG+/38Rb6VxEHMP2ax45d7nU9+8pP42Mc+pv19bm4OXV1duOWWW/IibGwKZ2T0SQC92LFjI26//faqt59Op/H444/j5ptvXjSudz7HTqQxMPAKGhq7cPvtN1Shh5VBlmV8/ZuvAAD+4A9uRWeHMYtvi/HQj09jaGgau3Zdil07jblulk5L+NKXXwQAvPnNtyEUMl5MSaHnPgBEYy/glVcfg9fXoMv3dTGefOoYgJPo6moxTJ9KJZk6gMNHfguHo86Q7+mhHz0L4BR279pgyP6thMXO/3DDaTzxZB/SktMQ70sQ0vinfz4IAHjLW+5AIFCZeEI9OXwkhaGhI2huXo3bb79W7+4sQFEUfO9fjwIA7n7brdi6tVPnHpXGk0N9eLn3DDpC9RCdXEHzfzWYOzaNucPTiEUncMNb3ox1BhROXIiRn/chE0vj+quvg6vZg/3RCJ47cRSt9X7c/qY36t29BcROzSLy4gTi0Qlcfecd2H7zLcv/IwtQzP1PMVDnSBsbG3OzohXVSCSC3/72t6ivX1l+39TUFDIZYxXJbfQnW+A1zs1ZoTgdqhNI2hiKegoVTnhM7QRC+i4IaciyvGhhqdrEYlkrOZ/PesXD+bjdvK4iEFo4drvMex7nQp1ARg0qAtEECiaekwvBozkmVNEJxGLn9HK4De8EYr3PwaNmxyZyxlxRFKRzXLXSkoRMOgMxJUKRird0VRQHFFnCzPgIFJmFzLIQF3EgESMiXABSYjSvHyuF57xQZHIPQNtiwC/aVqk4HT4oMgtFAYR4grTFuhdtS2HI2LlcPiTnYgX3x6m+L1nIIC0IUGQWLOcp+X0lJhNwww0xnYAkpQEJcKhtSSkBGTEDVmbhKENbi8EwHigyi1Q8AUUCFJmFg/WW3JYMMt68y4/p6AjEpACnmy96l1Q14XkeGzZsAABcdtlleOmll/CNb3wDf/u3fwuAOHm0tbVpx4+Pj2vuIK2trRBFETMzM3luIOPj47jqqqu0Y8bGxha0OzExscBlJBeXywWXa+H9rNPpNNTiuRmZnCRxUm1tYV3HcqWf5ZrVxElmaGja1J/9xMQsBCENjmPR1dkEh/qsbgbCYT+GhqYxN5cy7GcwORWDoihwOjk0NtYb4vl8KQqZxzo6yOa2sbFZw4z97CwRlzY2BAzTp1JZv45c5/r7Jw35ns6fJy4wGze2GbJ/hZB7/ufO7xzH6f69HRunLjdOhEIBU9zHFcqqVcSRb3Q0Yshzqa9/ArNzCfC8A1u3dmkx52alYdUqAMDc6Ajc69Yb7j5WnCHzeTw2hVW7dxuqbyvB6XciE0sDKQVOpxON6njPjowY8r1kYmS9IR6bxPaLXmfIPlaSSp//tTaeNjZWZcVX/ne/+91lb/zZZ5/FP//zP+PQoUMYGRnBI488gje/+c3a7xVFwac//Wn827/9G2ZmZnDFFVfgO9/5DrZv364dIwgC/vqv/xo/+clPkEwmceONN+Jf/uVf0NmZVbbOzMzgIx/5CH7xi18AAO666y5861vfQjAYLPt7slkaLerBxAVHzQlENJbISRBUJxATxzrkRlKkUmlD7NimUTAeD2+qRcVioW4Feu3it0JkVC5t7SQOwahOIEm1OGtm8Vgh0PM7WUWRExVU1Yrbiu0EUn0Wi4NJp0R85o77Fhz7yr/sK7G1awAAkRMpANcDwKLtbNqwCa/b246pqRh+ssjvV8b1K2qrPJDXjx5X/3wC+MxTC9tqa23D7TffDqe7Cb+8/zn85v5Xim6LLIevQ+QE8Jn/Lu19re5ajZuuvwmzs/GcMeK0tij7Twxh/3cqMYarAKxC5AQAkN2P//OJx/E/KM2aNhwK4w/u/APw7iCe+tkZPPWz+/D3v/4ceI/5vseKokAQBKxduxatra14/PHHcfHFFwMARFHEM888g3/6p38CAFx66aVwOp14/PHHcffddwMARkZGcOzYMXzpS18CAOzduxezs7N48cUXcfnllwMADh48iNnZWU0oYlNdRsciAICWlpVtmtGbri5SBB8YmNK5J6VB+9/WFjLds1pYddWYmYnp3JOlmVCLt02NdboXkstJa2sQADA2GtG1H7lMTxMhWbihdCcto7BmLREjDA5NQRSlvPhZI3D2HBFTrl/XqnNPyktbWwgcx0IUJUxMzKGlJahrfyYm1Hmkqc6SAhAA6FBdqAaHjHlNPXq0HwCwbVun6QUgABDuIPWeyPAwjPjtTYzPggUPxqXAEzCf0x7nI+eIFCdrOiG1vjY9OKhbny5EbHgGAAshk0CwrV3v7tjY2NgYkhU9ycmyXPB/69atW/Z14/E4du/ejW9/+9uL/v5LX/oSvvrVr+Lb3/42XnrpJbS2tuLmm29GNBrVjvnoRz+KRx55BA8//DCef/55xGIx3HnnnXlOJO94xztw+PBhPProo3j00Udx+PBh3HPPPSt56zZlRBCJe4aZnUB4J1lcEg3qBGLmyAGXy6E9FKaK2DlcCeKqE4jPZ+0oGAo9fwSdxj9bMLeGKIE6gUxOzmkCFyNRawIFPZxA6HfJzHNzIRjXCYT0x4oiED3O6+UI+EkBIxYzbmGrGASBCG1cvLHOIzre0Vh0mSPNhVHHezk+/elP47nnnsP58+dx9OhR3HfffXj66afxzne+EwzD4KMf/Sg+//nP45FHHsGxY8fwnve8B16vF+94xzsAAPX19Xjve9+Le++9F0888QReffVVvOtd78LOnTtx000k43rr1q14wxvegPe97304cOAADhw4gPe973248847sXnzZj3ffs0yPj4LALoX21bKKlUE0j8wCUVRdO5N8QwMkoJbV6d5YmAo4TARgUxPG/daOT5BzuumZnOIm1ZKW6v6jDYVNcwz2tQUOQ8awtYRgTQ2BODx8JBlBSOjxtoUkU5L6OsjTiDr1i/toGVGHA5Oi6Wlc6SeaCKQRvMVw1dKZwfZ/DM4OK1zTxbn6NE+AMDOHcaMHiuUUEcHACAyPGTIexg5QdwMfW2hZY40Jg4fWbuS4qTuEWon4x2fnoKYSOjWr6UQZ9XNm41+ywrNbGxsbEpFVwnobbfdhttuu23R3ymKgq9//eu477778Ja3vAUA8OCDD6KlpQU//vGP8YEPfACzs7O4//778cMf/lBbFHvooYfQ1dWF3//+97j11ltx8uRJPProozhw4ACuuOIKAMD3v/997N27Fz09PfZCWRWxwi5/h5PGwRjLCSSVMr8TCMuycLudSCZFJJIiwnp3CFknEL/fXAWIYqGRFdV0SsjFCm5BudTXe+H18EgkRYyORbBatQk1ClYb7+XwLOKYUGlSNTbGersJLYWlnUDU90TfIwA43Tz+/tef0/6eliT87ne/w6233gqno/h7sG9++g4gFgEbbIIcmYDs9uOjn/3dguO6H9oPAAh3An//D59b8PuV8LW/vQ6cLGlt8c1d+L9/83DRfV+KdFrAd//u9QCgtdWw5Qq8871fXXCsFJcw9st+uFxO7H1DM27+8F8W1FZP93787v6/RoZhwLr9YJJRbLn+j3HLHX9R0nvo+ekBQAG8oZT2uT/5u+/j2O8fgOzyQUknwckyXv+uz2DH7htLamsxfvrgJzB27Dlt/ADgT//hV/D7S1v4lCUZI/99HhzH4ZKr/bjz7z4Jpwnuc8fHx3HPPfdgZGQE9fX12LVrFx599FHcfPPNAICPf/zjSCaT+OAHP6g5XT722GMIBLKFv6997WtwOBy4++67NafLBx54AByXdTr40Y9+hI985CO45RaSe33XXXctubHCprLIspwVgZikWN7eHgbLMkgkBExPx9BgUveBQbXA2WFCEUjIBE4g9LxubrJW8ba+3guPh0cyKWJsbBarVjXq3SXNCaRBFQdZAYZh0NEexpmzoxgcnDLUs3B//yQyGRk+nwutJhHvFUJXZwMGB6cwODCJyy5dr2tfJnOcQKxKp3oNmpycQyolGm5d9siR8wCAXTutIQKpb2kFy3GQRBGSwUTwSkYGB/J83rTJnONNRSAZ1QnEHQjAU1+P5OwsZoaH0aJGXhoBRVHASg6AA0JrjOgLY2NjY2MMDFuN7+3txejoqLawBZAc4+uuuw779u3DBz7wARw6dAjpdDrvmPb2duzYsQP79u3Drbfeiv3796O+vl4TgADAlVdeifr6euzbt29JEYggCNoONACYmyM3rul0Gum0sYobZoHuOuc4RrcxpO0W2z61mU2lBEOdBwm1qMk7OUP1q1CoCCQWTSCd1v8hMRKJAyBOIGYeV8py5z+vCrTi8aQu7zeRIKIbp5O1xHgDQGtbCOfOjWFgYALtbUG9u5NHXBU58bzDMuN9IagAMRZLVeX9SpmMJhjU87pXTRwOsvMimRQN9X5jMZLL63JZ71xf6rxmHFmzP0ZhwDk5MByT9/NC4VwOyAkZmXQMLCuD49lFX88BdeGTzxTdHsMzYMRsWw4XX1Lfl4J3eKCwMlhAa4v3eBZti1rjcpwTGTFdcH98dUEwalsKRLCsDJfPV/L7YmUHwAAyK2qv5Q4EwLAyABEskwHDKvDW1VdkDF1eLxg2+1kBgNdfelssx0CBDAYslIwCxsFCkgp34iv13r/Qdr7zne+grm7pe1iGYfCpT30Kn/rUp5Y8xu1241vf+ha+9a1vLXlMOBzGQw89VHR/bcpHJBKHKEpgGMY0RS6ed6C1NYTh4Wn0D0yaWAQyCcCcTiBUBGJkJxC6g7/ZJOKmlcIwDFpbg+jtHcfI6IwhRCCjajSN1VxXOjsbcObsKIaGjOWQcPbsKABg3boWS+4cp6IEQziBTFpfBFJX50Ug4EE0msTQ8LShIoamp6PoH5gEwzDYaRERCOtwoL6tDTODgxAjEb27k0dyKg6GYZBOp9Bx8Q69u1MUDhoHk8g+d4U6OokIZGjQUCKQTDINjuOhKDLadm/Ruzs2NjY2hsWwIpDRUXJT3tKSb83X0tKCvr4+7Rie5xEKhRYcQ//96OgompubF7x+c3OzdsxifOELX8CnP/3pBT9/7LHH4PV6C3szNmoWNlkcff75Z+Hz6bsr+vHHi8spn54iC02vvnIYijxSzi6VxPAwyTM9cfIoZHlY594UjyyTm8wnn3wGPT36L0YePUZ2tCYSc/jNb36jc2/Kx1LnfzQaAQC8ePBlJOJ9VewRobubtDk01G+Z8WYZItD6/ePPY2rytM69yaen5zwAYHCwzzLjfSEmJ8k8efx4N37zm8ovuAti1jHq6aefhNNpnSz1pUgmyRyeycj45S9/BY4zxnvuPT8AADh79hR+85uIvp0pMwMDQwCAU6fOLPs9LvbehyKIGTgBZIQUWABiRl60zc0ysYztGzmPsSLnlowCcDltxRKpis1TCsMAiqK1NTE5vXhbCrBDWQ+W4TA2NFpwf1LJCACSxZlOi+AAnOsdRKLE97VOaATcwMjEkNan8dHzpMuZNFjVJvmVV4+h5/RkSW0txug4KTDQ8ZMB/O6xx8ry2pszq+Di3JidjJT8+Zd6/i9HwoD2yDbVYXSMuCU0NATgdBp2eWUBq7oaMTw8jcHBKVx80Vq9u1MUtMDZ2WE+EQiNg5mZievck6WZoHEwTdYSJgBAa2sIvb3jmvhCT2RZxtAwEUl0dBjBD7V80PczNKS/GCGXs+fIc6GRivXlpEuN/DKCCIQ6CjVaOA4GIOd6d/cQBgeNJQI58hpZY1u3rgV1dR6de1M+Qu0dmBkchBAxVtTU+ImzAFxIJKYQar9I7+4UBafFwWQF9KGODgyfOI6ZwUG9urUoEz3k/E4mIliz+YpljraxsbGpXQy/SjFfla0oyrJK7fnHLHb8cq/zyU9+Eh/72Me0v8/NzaGrqwu33HLLBXd32SyOIKbxpS+/CAC4/fZb4fO5delHOp3G448/jptvvhlOZ+FClJdejuP0mRls2rwVt99+ZQV6WByP/LwfQBRX7b0CV165Se/uFM3P/rsXs7PjuPiSy3S3rQSARGI/gHNYu6YLt99+u97dKZnlzv/9B+bQ2zuLzVu24fbb91S9fye7fwkcGsW2bVtw++3XV739SnDmLHDm7EGEGzpw++23LP8Pqsix4/8LYAzbt2/F7bdfq3d3Kk7v+Ufx6uFxdHR04fbbF4+iKyfT0zF8/RsvAwDuuusOS+4ym48oSvjmtw8BAK6/4UYE/MZYaPrdY2MAIrjyisvw+tebc0fOUsQT+/Hc84NobGxd8jpV6r0PZbD7R0jFp8DJRODk9QcWtKlIMoYePgcAWLdtHS4q8tp55uA3gLSgtdXU3Fax63DP058DMpLW1rr1m3HbEm31/7gbkIHG+saC+yOkEvjXfd8AAK2tSy+7ArsvfkPRfVcUBQMP9QAA2ta24nK1Tz0n6vC74/8LVpZBZ55bbrkT9cGFwvhSeeLRfhzvf1F7TwrLlu2z6v9ZNyAC9f5g0a9ZrvN/OahrpE3tMTYWAQC0tJirUN7V1YADB0ksghmRZVlzF6AFTzMRpk4gRo6D0ZxArLf+1dYaBACMjOhfQJycjEIUJXAca7loko52IgIZNJgTSF8f2eyzdm3574uMAHUCoW5JekKdQKzmKDSfzo4GdHcPGU7wRKNgdu+yhgsIJdTZCbx4EOJMRO+u5DHTO4Ig1kBxZEy7/kPjYORUBrIkg3WwCHV0AgBmhof07NoCJk71IYAOpJUk2BJib21sbGysjmFnyNZWopwdHR1FW1ub9vPx8XHNHaS1tRWiKGJmZibPDWR8fBxXXXWVdszY2NiC15+YmFjgMpKLy+WCy7UwO97pdFZ0AdGq0N3BAOD3e7VYFb0o9nPkefJvFBmGOg8EkYyv3+8xVL8Kxesh37l0WjbE+0iqEUaBgLnHdT5Lnf8eLxl/Uczo8n5F1TnB63FbZrw7O8mi9NjYrOHekyCQecPns854XwgqPhQEqSrvN5Mhu+/dbid43li5wJXC4XCAZRnIsoJMxjjXyWRSBAAE6ryG6VO58KtCG0FIL/veSr2H5V0epECcLADAyS+8Nopx4n4kigm4/cWPN+vkIee05XL7KvfZcRyQkbS2vP7g0m1xAGSAkdmC++N01mvvibZVF2go6X1lkhJYxgFFkeH08dprBerJ4n+uF08w1ASHo/xj6PMH89tiCx+bpWCdLCACrMKV/JqVfoaz2txis3LoLmezFW+1neID+hcJi2FyMgpBSJPCuVrQNxOmiINRz+2mRusVb9vayPrh6Kj+IhBaNG5tDeq+TlZuqBjBaIXxSU2YENS3IxWiS12DGBqaRiYj6+rOSGOlmizuBGLUc10Tgexeo2s/yk1YFSWIBnMCSU5GEWwEXGHzOsizPAvGwUCRFGQSEtg6HuEO4vRpNCeQ+PA0AsEOcH7DljdtbGxsDEHBd4Icx2F8fHzBz6empsBx5XtgWbt2LVpbW/Ose0VRxDPPPKMJPC699FI4nc68Y0ZGRnDs2DHtmL1792J2dhYvvviidszBgwcxOzurHWNTeQSBFGA4jjX1g62TJ30X04VnkleSlFrgcnvMXWh0e8gCOn0/ehONpQBki2xWx+0i40+jm6pNSp0nXG7rFFLoAqMRdpnNJ6V+zm63ueeNleJR58dkleaXVIqOr3XO5+VgGEY7n4wyjwNAIkGECV6v9c51ryreS1RhvJ18/mKWw7lQLC1FyXkfj06C9xW/+MXNe23eXbmFNIbLXzRyu/1LH6t+nRm5uMV0Zd6OMI+vtMJaOkbGOxGPgPdl71UCgfxoBBmAw1GZ89/jC+b/gC3ffT7rIuPMGnffgo0NRlUnELPtcja7CGRA3eHe1hYy5foCjYNJJATdnr0uRCYjY3IqCsCqTiDqM5oBRCDUJaPDhLFGy0Hf0/DwDDIZWefeZJlSz+3GBv0jiCtBS0s9HA4O6XRGEyrqgSzLmuCmqcl680guNPpocNA4rjfxeAqnz5AY84ssJgIJqqIEMRLRtyM5yJIERiT3I/VdS286NjoMw2huIDQShjqBTA8ZRwSiKAqkmLohtjW0zNE2NjY2tU3BK5iKmis9H0EQCt7pGovFcPjwYRw+fBgA0Nvbi8OHD6O/vx8Mw+CjH/0oPv/5z+ORRx7BsWPH8J73vAderxfveMc7AAD19fV473vfi3vvvRdPPPEEXn31VbzrXe/Czp07cdNNNwEAtm7dije84Q143/vehwMHDuDAgQN43/vehzvvvBObN28u9O3bFAndce5ymbsYxqs5z2mDiUCSKVUEYvLx9ahOINSBQ2/imghEn/iiakNFRCmdxt8q80Qu7aoIZHjEOIsBFKHGRApVF4GoC/oul/WEBxeCnk96zSOLQQUSVDBhJeh5TYUulYR3+/L+7uAXCiSlGBnrWGwSvNe34PcrxenMv+663JVbpGfnuWN4fEsvUrOqGJhRiiw4svmPXn5/aQtWUpSMdzw2Cd6bFcr4fPmvO198Uk583vzC93xRTSlwbvJatgjExshk42CCuvajUFapIpDBoSlDFWdXCi20dXWas3Du87nA82RuM2IkzPRMTHMQCIetVyin7jGjoxFd+wFknQM61SKylWhuJmIEScpgfEI/MUIusixjSnXgabCoCMTh4NDeTu4FB3SMhIlE4shkZDAMY9mxpnR2GM8J5Oixfsiygva2EJqazCVUXY5cJ5Cl6lTVZvTMaXh9ZB4PrWvXuTelwc0XgXQS0c3c+Dgk0RibfWZHRuDmyXN7eH2nzr2xsbGxMTYrXlH75je/CYAoAn/wgx/A78/ukstkMnj22WexZcuWghp/+eWXccMNN2h//9jHPgYAePe7340HHngAH//4x5FMJvHBD34QMzMzuOKKK/DYY48hEMjePH7ta1+Dw+HA3XffjWQyiRtvvBEPPPBAnivJj370I3zkIx/BLbfcAgC466678O1vf7ugvtqUhqAVw8y9iOvURCAZnXuSj7bj3OROIB61eJhMVr6YtRJicVUE4rNe4XAxqIgoldLnpl6gYiYLiRLa1Bzkubkk4vGUFkliBDTxWK05gVTp/Lbi+bwSNCcQneaRxcg6gVhvLvdWUdzkmicC4V0L3TnSuU4g3ouLbsvhmi8CKV5Qshysg0TPULyepRdJOTcHCXLxogTWAWSy95Bef2kFH0l1AonHJtHgzebau9zevDid+eKTcuJV42C0prjyzXkOjxNpSOBYHoqimDZb28bajI2RwqbZRCDNzfXgeQdEUcLYWATt7eYqQA+qhc1Ok4pAGIZBKOTH2FgEM9MxzZnCKNAomIaGgK5REpWiVRXqT05GIYqSJsjRgyELO4FwHIv2thD6ByYxNDhliPN8djYBSSL3Yg0NS7u/mZ2uzkb0909iYGAKl+/ZqEsfaBRMOOw3pWNTIdBr0ehYBIKQNsTGJqtGwQBAsK0NYBjIooj4zDT4lla9u4SBw0fQGNgOAODrzb3u4PCSa2ImTjbqeYMh8F4vxEQCM0ODaFq7Ts/uAQD6XzsCf4A8/7obKrdWYGNjY2MFVvyk87WvfQ0AcQL53ve+lyey4Hkea9aswfe+972CGr/++usvqNhkGAaf+tSn8KlPfWrJY9xuN771rW/hW9/61pLHhMNhPPTQQwX1zaa8ZEUg+t8Il4LTSc57I4lAMhkZokhuzDwmL+a6q7xTfzniMVI49NWKEwgt3upkSUydQMzuaJOLz+tCfb0Xs7MJDA/PYOPGNr27pFFzTiBuneJgLHQ+rwSjOYHIsqx95lYUgWgOWlURgeQvlM93BgGyooRYbBIub/ERLvOjZzzeyllIc05Xvghknqgh71i3ExIEONjiziWGcwBpcm8hA3Dxpd1f0PidWHTheCsMA9DnLLZyxS3fPCEL6yzfvajDxwNIgud9kEQRTpf1vsM25oda7be2mGuXLcex6OgIo7d3HP0DkyYUgajuCSYVgQBAKOTD2FgE09PGcwKhrg1WjXAIBX1wuZwQhDTGx2d1PY+scC5fiI6OMPoHJjE4NI3LLtO7N9komGDQq23ysiKdXeR8oueXHlARSFOjNeeRXMJhP0IhH2Zm4jh1egQ7d6zSu0s4bGERiMPlQsOqVZjq68NoTw9CBhCBjJ44g+a1u6FABucz99wyPw6GYRi0bNiIgdeOYKS72xAikMEjx7C1+U4AgLOuttbcbGxsbAplxZL+3t5e9Pb24rrrrsORI0e0v/f29qKnpwe/+93vcMUVV1SyrzYmhhaDrCICoaILI5BbsDd7Mdfj1jeOZD7RWBIAEPAvtLy3IlrxVicRTsoiYrH5tGmRMPpnTueSskiM1ErRKw7G7A5NhaKJbQziBJL7efusKALxquNdhTgY9zwhhsu1tAiEOIEULwKZ7zLi9lTOQtrhzD8vfL7gksc61fF2ONyQpcLvBVlHdkGwHBEtuU4gC8Y7x/2D4Sq3+zIwTwTCOcp3TeFV9yyXywcxkSjb69rYlAtRlLSCYnOzuUQgQDYSZmBAv7iAYhlQC5tdnY0696R4wmEirpyJxHXuyULGx0nxttliEQIUhmHQ1hYEAIzo+IymKAqGhlUnEJMJsVZKRyeNyTBGPOqkOmc3NFhbmECjsvSMg5mYJPNIo0XFZLkwDIPt24nw4/jxfp17Q+5PTp4cBGBNEQgAtG/dBgAYOXFC556QuTyqftcYN2N690IqYqEiEADo2EZcToaOH9elT/OZOTcEAFA4GazT2k5DNjY2NqVSsK/jU089hVAoBFEU0dPTA6mIExyU+gABAABJREFUBVCb2oM6gZi92EhtQtNp45z3tGDPMIzpi+dugxUP4zESB+PzW69wuBj0/NHLCSRl0fiMdlUEMjpqLBFI0iIxUiul6iKQGnUCcRnMCSQeJ+IIjmN1tfquFNTdJJEUK56H7JknxHB5FlpoZ1Lk/iiVipYkAnF58gUmXm/lilAOPl/o6QssXYRxqvFwvMsHMZUquC02V3BShoiWjECc6VLJRcY7x/2DKaMwYz40eobCOcvnnsa5yXvgXT6kk8myva6NTbmgbgk870AwaD4r6i4qAtFxp3gxyLKcdU/oMq97QjhErqNGdAKZUM9tM4qbVkpri/qMNhbRrQ+zswnE1DWHjg6LikBUccvQkDHmmSlNBFI5gbERoAK5wQH9xp06ZdWCEwgAbN/WBQA4fmJA554AJ08OQhQlhEI+TfBpNdpUEchwt/4ikKm+Pjg58ixmhWgS6gRC42AAoH0bGe+hE/qLQGLT05CT5AmUr68N524bGxubUih49TGZTOK9730vvF4vtm/fjv5+onD9yEc+gi9+8Ytl76CNNRBEa+zwpzmWack4cTCpnEgHs6uNaZFWLyeK+cTiZEHG76uNm0pt/HUq3tI4GJfFRCCaE8iwMXY/UQSLim6WotoikFobX0rW0ckY83hCdcjwenjTXyMXw6ue15mMXPGouvlCDLd7oQhEVkUJohAH7yneRWt+9IzHV7kiFO/K9lMB4OKXFq+QeBLVmaIIUQLnyBHdsaXvWNLGW4yD9+T3m+GyIhCWq+w8lOtq4igx4iYX1kXGyOXyFzXeNjaVZkwtHre2BE15jdGcQPrN5QQyNRWFKErgOBatLUG9u1M0IU0EEtW5JwuphRgHIziBUHeMpqY606+VLUWnwZxAqAik0eIiECqQGx6ZgaTT+iV1ArGymCyX7ds6AQAnTgzq3BPgyGvnARAXEDPen6yEtq1bAQAj3d1QZHmZoytL/2uHEQg0A7CGKGF+HAyQdQIZP3cW6SI2Q5STwdeOwK+OtytUG87dNjY2NqVQsAjkE5/4BI4cOYKnn34abnf2wnbTTTfhpz/9aVk7Z2MdrBIHozmBGCkORi20mX1sgWyx1ChOIDHNCcT8N/ErgToWCHqJQCx0LudCRSB6LjAuRsoiDk0rpdoiJy3eyF0bTisUt8GcQDQRiAWjYICsgxaQfa+VwucP5bc9T5ihyAoUibiRKEwGbAkRJO55ghO/L7TEkaXD58TaKAwD9gIOHZwr15mi8HiSXIFEOSJaMqp4UhQScM1zAsmNnuGcFT7/c8bMyZdvIY6KQHg7DsbGoIyPkV3OLSYVItAiodniYIaHyT11S3O9tknDjGhxMDMGjINRnUCamq0rAmltVZ/RdHRrpO4YVnUBAbLvbXBoquKudSthskacQFqa68HzDkhSBmPqtaraaGKyGoiDAYCtWzvBMAxGRmZ0F/cdOXIeALB71xpd+1FJmtauBeNwQozHMdWvbwTPwJEj8NcRUYIzYP71NYcaByOLMuQ0EdgEmpvhb2yEkslg9FSPnt1D/2tHEFDH22GB8baxsbGpNAWLQH7+85/j29/+Nq655po8Nem2bdtw9uzZsnbOxjpoO/xd5rZidzpJ/8UK77YtBLqr3WOBSAdapEsl9S8eCkJa21Ud8NeGstilswjHqqKE9jay8DVsIBGIJGW089sKc8dKcHtUkZOQRiZT+Z0itRoH4zaqE4jPmiIQjmM14VylXW6880Qg3nnxMLKYc2/kKG3H2fzomfltl5Pc6BllmZ1yWWeK4pxA8kUgpc0NiqJASZNiipQRwPH5czmb4zrCOSs8z+e4mjhd5btn4nhbBGJjbGiMREuLOXc507iAkdGIoeJOl4O667W3m7twrjmBzBgvDmZ0NAIAaGkO6tqPSqIJ9Yf1e0YbVEUgnR3mjTVajva2MBiGQTIpYsYA5/rUZG2IQFiW1aJ4Bgb1EfpN1oCjUC4+nxtr1jQBAI7r6AaSych47WgfAOCi3Wt060elYTkHPK2tAICh48d07cvAa0cQCJDP3lFn/vU1lufAOEnJkLqBMAyjuYEMHdc3EmbgyBH41fF2WmC8bWxsbCpNwSKQiYkJNDc3L/h5PB63rMWYTekI2o5ocxfDeKcaB2MkJxAhGwdjdjQnkGRldzOvhLgaBcMwDLze2rippOOvhxNIbpSB5ZxA2rNOIEbY/QRk52TAeuO9FLlil2oIFHKjumoJozmBxBPks7aqEwiQPbcTFb52zncC8cxz65BFIq5Kp1PgPaU5aOVGzygAvN7KLR7nRc8sE9HC5ThTCPHCRSC5LhksV5owmo43ADAOZcFzWK7ww+GsrKNZbvQMf4E4nUKhohuOc0BM6Gs7bGOzGHR3tVmt7sNhP1wuJxRFwdi4PjvFi4EKq+k9tlnRnECm9S+M5yJJGYyr54PZx/hCrF1L1jXPnBmpikB8MWhESoeFRSA879DmSCNEwtRKHAyQdXsaHJzSpX0aB1MrTiAAsH1bFwDg+PEB3fpw9two4nEBXq8LGza06daPcjP6eD/6fnIKwnT2mcDbRt7f0MkTenULc2NjmB0dzTqBWESUQCNhMjmRMO3btgEAhk7oJwIR4nGMnTmddQKxyHjb2NjYVJKCRSB79uzBr3/9a+3vdMHx+9//Pvbu3Vu+ntlYCk0EYvJio4OKQHTK1FyMlLrz122ByAGP+h6SBigexmI0QoC/oDW8lXC71B38QvXHP1eUYLWiOc0qTyZFRCLGsHumBXqGYbSYK6vDOx2gNdJEhR0TgOw5bbXzeTnc2jxuMCcQC4tAvKoIJJmo7Jj7fcG8v/v8+X+XBXJvJAoJ8N7ShAAeX74IpJLXYVeu68gyES1ZUYIT6XjhzhS8KzsubIkRLdR5RZIEONwLX4vLEX44+QqLQBzZeS7XWaX012Ugy0R4nY7rLxC2sZnPmOoE0mrSOBiGYdDWFgQAjBrIsW45aMQiddszKw2qCITGUxiF0bEIZFkBzzu0PlqRNaub4fW6kEiKOHduTJc+UFFEp4XjYICcSBidxAi51EocDJB1e9Ij8iuZFLV45VoSgWxTRSAnTugnAqFRMDt3rALHWWctM5PKQE5lIM1ln3k9be0AgGEdRQn9rx2BxxOEw8EDDODwW2P9h0bCpGPZtVrqBDJ8Qj/RzeCxo2AZDl4fua5YIX7HxsbGptIUfDfwhS98Affddx/+/M//HJIk4Rvf+AZuvvlmPPDAA/jc5z5XiT7aWABNBMKb++LMq3EwRrLLpYU2jwUKjW61kJWqQoF2OWIxssPX76ts4cRI0LgMPWIcckUgVhMluFxONKoWqCMGWWDPnTdqxcWLCF5IAbfSxXIg+z0yu/ixUPR0FFoMKgLxWVkEor63SsfBOHk3cvfJ+nz5u4MzqihBFOMli0ByXUeUCgsxPZ7swjS7TEQLESWQ91mMKMHlyRbTSo1oWU50kxvLUs6IlsXgcqJnXK4yikAYBpJMzmvJAFGBNjbzoW4JLSYVgQBAW6vqWKfGf5iBITUOhsZ5mBXqjhCNJit+DS8EGo/S3h6y9GYIjmO1XfvHjvfr0gcaB2NlJxAgG3dDv7t6oSiK5gTS0Gh9EUhnp35OIBNqFIzXw8NXQ2tqO7arIpCTg7o5DFEXkl27VuvSfqVwBsjzhhTNPhN4VRHI+NmzRUV1loOh48c0FxCH3wmGtcb6mmOR8W7bvAUMy2JufAzRyQld+jV04rgWBcPyrLZJw8bGxsZmaQp+orvqqqvwwgsvIJFIYP369XjsscfQ0tKC/fv349JLL61EH20sgFWcQJxqcTotGscJhBba3B4rOYHovwgWU+Ng/IHKFk6MhOYEokPxlrqP8LzDkouN7eoi9bBBRCB03jB7RFehONVc02rMMdmoLvPPzYVgpHkcqA0nEI+XxsFUfswVJjs/L3QCIQud5XAC8QdyiiEVvib4chxOch0tFoOIEsg5JRUx3i53tuBQakQLjYMRxSVEIDnRM3wZhRmLkStocZc5ukdWyFwqp4wjwLaxAUgxkTqBmFkE0tqajS00C7SvHe3mdk/w+dzw+cj9yfiEceJ4siIbc4/vStixQ7/ohkRCwLQaBdRhO4FUhXhc0NYmayEOpkuNgxnQQwQySea0xhpyAQGAtWtb4PHwSCQE9PXpUyTv7h4CAGzd0qlL+5XCoTo+pKPZZzBnIAB/YxMUWcZoT7cu/Rrp6c5GkwSss/bjrCPjLeWMN+/1omntOgDAkE5uICPd3VnRTYCvmU1tNjY2NqVQ1Krqzp078eCDD+LYsWM4ceIEHnroIezcubPcfbOxEFaxxefVOBjRgE4gbpMLbAB9nSjmQ60r/T7rFg7nQ7+foihVfdeCJmYy+RyxFDRPe3jYGAvsqVRtChToHJ5MVj5WwOrn9FK4DOoE4vVa91z3eMh1ir7XiqIKMmSAWN7mIGtOIAm4ShWB5EbPsJV1h8qNnuGWcQIBgIzqTJFJFS4Iduc4gZQa0ZJ1AonD5Vk43rnRM5UXgWTfi9td3qKKzJD3mTGQANvGBgCi0ZQmvmtpqV/maOPSZjCh8nKIoqTtMKf312amuYmcO+NjxhGBZEU25h/f5di+fRUA4Nix6juB0CiY+novAhbfeEIdKeh71ovJKTJ3+HyumngOpnEwIyMzkKocaT0+Tsa6lqJgAOIwtGVzBwB9ImGi0ST61fifLVs6qt5+JaFOIOlo/jpD+9atAPQRJWQkCWOnTsFfR5wpqHDCCjiWGu9t2wDoE8GjKApGuk8iECAiEDsKxsbGxmZlFCwCmZubW/S/aDQKUdS/cGtjTASBiCbM7gTiUAuIUto4C9HUOpYWgcyMtoPcAJbfcdXm3eevHevK3GJ1bjxLNRAs7ppAnUBGRvRd+KJo4rEaEyg4edUJpCpxMOo5bfLrXqF4PHQeN8Y9YbwGnEC82phXQQTCkfsgZZEdN5oIRCg9DiY3eobhKisCyY2e4fjlzxMZ5J42IxQuCM51yXC6ShujTI7oZrHxdrmzgpNc8UklyBW0eH3lXexXVBGIIiplfV0bm1KhLiDBoNfUz7j0HnXUJCKQ0dEIFEWB2+1EKFhZgVs1oJEwY+PGEYEM15ITiBrd0D8widnZRFXbHhpWo2BM7mizEjQnkCF9nUC0KJgacAEBgMbGAFwuJzIZuepuT1Ss19RoXpFksWzTYqaqLwLpOTUMgAg8gxa4RubiWMSZAgDaNBFI9UUJk+d7IYki6kMklsZpJScQLQ4mf7w7tm0HAAwdr/54RycmEJ+eRqC+BQDgqLPOeNvY2NhUkoJFIMFgEKFQaMF/wWAQHo8Hq1evxj/8wz9AlvXJvrMxJtTZweWq7EJ+peGdpP+GcgKhIhAL7HKmxUNBSOs+h0SjJE/SX0P5pbkL2Kkqi0BowdzFm3uOWIpVq8jOgJ6eYZ17QhBq3gmkGnEw6nWvxoQ2VPRS7TlkKWoiDqaKwhtNkLFIRAt1pkgvIUooFCo0YR2VvS74c0QgDsfy54nCkvsTRSz8PsXjzS6E58a1FEOuE8hi4817sgu/LndlF4EdOe8l11mlPC+uij+Mc+ttYwMAGFeL9i3NQX07UiKtVKg8ag4RyPAIFSiELGEB3qy6yIyPR/TtSA40Dqa9BsQJdXVerFpF3BKOHa+uGwh1xaAuGVamo4O8x9nZhOa4qgdTk0QEUgtRMADAsqx2flU7EmZSjYNpbq4tJxAgKy7Twwnk5MlBANDcSKyEJkqIpaHIWXF4+1YiStDDmWL45EkAQKiRRO9YKQ6Gxu/IooyMkN0I27GdjPdITzfkTHU3yA53k/EONxMXLyuJbmxsbGwqScEikAceeADt7e34u7/7O/z85z/HI488gr/7u79DR0cHvvvd7+L9738/vvnNb+KLX/xiJfprY1Ks4gTiVEUgaQM6gdCdwGbGk/MeUjpHCcTjZHHCV0MiEIZhNGeIakc5CKK1RQmXXboeANDdM4Tp6ajOvckK82rNpcLJExFIohoikBoV2rjVeTxlECeQWhCB0PdWDREI63DSPyz4XUYVRZTDCYS0walNVfY75PVni1wO1wqu+VQEUoQowZcjAilVmCHT8V5CdJMby5IrPqkEue/F5ytvfADjUIu8clEppjY2FWNUdQJpaQnq2o9SaWsNAgAmJ6MQReOrrbJRJdYQKGhxMGp0ghGgY0xdYqzOjh36RMIMqkV56pJhZXxeF0Ihcq8wpKMbyGSNOYEAQBcVgagRIdUi6wRSeyKQbaoI5FzvWHXiOnPo7h4CAGzd2lnVdqsB53WA4RhAAaR4dr2yZdMmMByH6MQE5iYmqtqnkZ5uAIDHQ66XTgs5U7AOFpyHPPNLc9l1hoZVq8F7vUgnk5jo7a1qn0ZUEUigznYCsbGxsSmEglfTHnzwQXzlK1/BZz/7WbzxjW/EXXfdhc9+9rP48pe/jJ/+9Ke477778M1vfhP/+Z//WYn+2pgULerB5AVHp7qL3EgLZFaKg3G5nNqOLr2jBOgOlUCgdkQgQDYepNrjTwvmvMndgpaioSGAzZuIReSBg6d17g2QpAIFC4jHCoF3ktseKoKpJEKNxsEYzwmEfNY+C4tAqIAyUYWYIyrIYNRYmFw0ZwoxAZe3DM4TahtchUUgrpzomZW4czD0MpUpXJTgC2QLPSWLQDQnkARcvoWvlevI4fFUttiRGz3j9QXL+tqsGuPF2CIQG4MxpolAzG11Hwz64HY7oSiK9p6MzPAwESi0WUSg0NJMRSDGiIOJx1NaLEp7uzXGeDl2bCcikONVjm7QnEA6rO8EAmTdQAar7EiRSzYOpnaECdQJpNrjTkUgjU3mvkYWQ1NjHZqb6yHLCnp6hqradrfa3pYt1nMCYRgGDr8aCZMjSuA9HjStXQeg+m4gI93d4F0+cAzpF3XPsAo0gicdza7tsByH9i0kgqfa4z3a3Q2G4eB0kA0QTouNt42NjU2lKHg1bf/+/bj44osX/Pziiy/G/v37AQDXXHMN+vurq6K3MTZ0l79VnEAkyThOIIkkUZZ7LFDMzXWiSFahSHsh4nEyrrXkBAIALpe6i1+nOBi3haMz9u7dDADYf6BH554AQq06gahCvmoUy+l3yMrn9GLYTiDVJxsHU/mdZpyTjCPjWHhey+KF40kKhUbPOPjKX4dp9IzTtXy/mRJECbnRM64ShRnaeIuLj3eu+0fZI1rmkRs94y+3CMSlOsKgtuZSG+OjiUBMHgfDMIwmqDBDJMywxaJKaBzMmEHiYKjIJhj01sxzcG50QyZTvUjawSHqBFIbIhAqdqFxQ3owOakKE2rJCaSLxB1VOw5mQh3rpqbaEdzksm0bceI4VkVx2cxMTHNysmIcDJCNW8kVJQBAx7ZtAICh49UTJUiiiPGzZxCoawZAnEpYh7VE606/GsETzV/bad9GImGGqigCURQFIz3d8PkbwIABwzHgvNbcRGhjY2NTbgq+OnV2duL+++9f8PP7778fXV3k4WlqagqhUG3sGrBZGbTAa3YRCM8b2QnE/CIQIFsw1buAGI0lAQB+f20sflGycTDVHX9Rcwuyxnm8GHuv3AQAePHgad2FZLUqUODV4m01iuXUbcRVY2NsPCcQ64tA6Hurht2w00muiSy3iAgkzwmkdBEIjZ5xOKvw2anRMy7X8u4crIvMI6yy0A1lOXKjUtwlikCy8TuLx8HkRs+U251jPjR6RgbgLLNoh3OTxT2Ora251IbwzLMn8PY//io+/dmf6d2VBVDnBrM7gQBZV42RkYi+HVkBWlSJVUQg6i55umteb6jIpq3NGuO7EtaubYHX60IiKaK3d6wqbabTkjaHdHbWxljT2BtDOIE01o4IRHMCqWIcTCYjY3o6BqB2RSA7thGHoRMnqicC6ekZBgCs6mq07DomdX6YL0roUEUJ1XSmGD97BrIkIdyyRu2b9dYys04g88Z7e/XHOzIyjOTcHOrDbaRvAV5zErexsbGxuTAFS+a+/OUv421vext++9vfYs+ePWAYBi+99BK6u7vx3//93wCAl156CX/0R39U9s7amBcaB+MyedQDdQLJZGTIsgyW1V/lm7KYCMTj5jGDuBZXoRdxNQ6mVnZAUTxudRd/lcc/ZZE54kJs29aFujoP5uaSOHFiELt2rdatL1Q85nZbY95YKdQJpBpxR5q7jYWFTYuRdaWwnUCqRTXH3OEi10RuEWGGvIwooVBYBw8ZgGMFES0lw3FARspztFjyULcTmAU4tvDvtsvthQyiws916iiGrOgmDpdn4Xh7/UHtz7kOJJXA4yUL/EoFFuKcXvU8YK37Hba5AIqC/oFJBAJVmAcKZHSMikCC+nakDLS1UhGICZxARlQnEIvEwTSrcTCxWArxhKB7fN2wJrKxxviuBI5jsW1rJ14+dBbHjvVjw4a2irc5MhKBLCvweHiEQv7l/4EFoCIQGoOjB5NaHEztiEC6VBHI6FgE6bSkrWlWkumZGDIZGRzHIlwj5/d8tqsOQ4ePnIckZeBwFC4eL5ST3YMAgC1bOyvell4s6QSyfQcAYPjkCQiJeHmiSZdhuPskAKB1zRbStzrrCdapsEWaN97UCWTi/HlEJycRaGyseF9GTqrjvXab2jfrjbeNjY1NpSi4gn3XXXfh1KlTuP322zE9PY3JyUncdttt6O7uxp133gkA+PM//3N89atfLXtnbcyLIBDnDJfJC460gAgA6bQxImESFhOBGCVKIKbGwQQsqqBfCupaoF8cjDXO48XgOBaX79kIANi3X99IGKHmnUAqO78oilITEUeLQd+vKEqQ5epZai9FVtBn3QKy5gRSheumR3Wy4N0LF3Rz40lcvtIX3mgb3goLGACAVUUtgbqmZY91eMg5XowIBAAU1XUkFGot6t9TsvE7CfCLjHcw2AoFxJ3DF6is1Xww3E7+wJW/sOD0k8/G4ait+zEbAt1BTG3ljUImI2uxApZwAtFEIPoVZ1dCLJbC3Bxxa2yziAjE63Vpz5vjasSQnmhxOzXkBAIAO3aQXfvVim7QomDawzWzk5nGwVQ7liQX6gTSWENOIA0NAXg9PGRZqVoUz4TqchMO+8Fx+m+c04Pt27sQDPowO5vAy4fOVqXNk91DAICtW6wZBQMAzrrFnUAaVq9GuLMLkiji9AsvVKUvI93dAIBQIxHdOPzWW8t0BBZ3AvGHw8QNRFHQ/fRTVekLHe/GtrVq36w33jY2NjaVoqC7sXQ6jRtuuAGCIOALX/gC/t//+3945JFH8IUvfAFr1qypUBdtrIBokV3+uap5o4hAaDHTaxERiLajucpxJPOJqYVDq9ooLoUW5VBlEY5V3IKWY+/ezQCAAwdP6dqPWhUoVMsJRBQlKIoCoPbGOFfIVW1HofkoioK46gTis/Bc3tXViLveuAevu2Zrxdu69U1/hYYtV+D2t30i7+eKrOQ5gbh8pe/6u+1tn0TDlitwyxs/UvJrLceNf/hxNO24Gldd985lj3WqgqJiRSBXvPGD6LrsVqzfuKeof0/JdQJx+xeOd32wGZuuuxs7brwHrjJHtMxn+84b0HbR63H1m/6y7K/taw1jeO5VzHF9ZX9tG+NDRSBTU1FDCAspU1PR7C7nsPmLiW2q68PIaETfjiwDdQEJBr2WcvhqVt1kxtTCqZ5oIhCLxO2sFLpr/9jx/qq0N6SKQGhURy2wejUR2k5OzmlrLdUklRIRVzf6NDbUTkQJwzDo0CJhqiPAofFWTY21M87zcTg43HA9cad44omjVWmz+yRxAtm6pTacQOh6C0DO86033ggAOPHk76vSlxHVCcTrI98vKzpTUCeQTFyCksm/D9/2+psAACeefKIqfaHOK3XBFgBZgYqNjY2NzfIUVG1zOp04duxYzSjVbcpHNurB3BfpXCcQMS3p2JMsWqyDVUQgboM4gcTILrNai4Nx6+wE4rJ4dMYVVxAnkFOnhjE5OYdGnRZGqMjKys4ri+F0VscJRMj5/pj9ulcouUKulJDWtUiTTIqQZbI45LfwXL55Uzs+8bd/UJW2mppX4z0f/O6Cn8vp7KKQKMbh8pfuBLJuw6VYt+HSkl9nJVx86e24+NLbV3Qs73NDQhoOR3Hn9nU3/p+i/l0uijJfdLP4eN/11k8s+vNyw7Is3vGnX67Ia9e3NePqv3xHRV7bxviEQn6wLINMRsbMTNwwFv7jarG+sbHOErucqRPIqMHjYEaG1agSi7lUNDfV4ezZUa1wqic0DqajhuJgAGDHduIE0t8/ibm5BOrqSo+1uxADA5MAshEptUAg4EFjQwCTU1GcPz+uua9UCxoF43I5Le0QuBhdnQ04fXqkai4s4xPkGkmFnLXKTTftwiM/P4hnnj2Ov/nrN4HnK7fhaWJyDpNTUbAsg40bKx9ppRcOP1lbUdIyZCFflLD9xpvwwoMP4OyBA0hFo3AHKnfPKCaTmDx/nvQJLsiQtb5ZCdbNgXGwUCQZ6WgafDA7d2654fV4/NvfxODR1zA3Noa6lpaK9UORZYz2EDdllzMAWVDgtOB429jY2FSKglcs/uRP/gT3339/JfpiY2G0Xf68uS/SDMNoQpC0aCwRiNXiYKpha78UiqJou0RqzgmExvFUeQe/INaGM0U45MdWNaP1wMHTuvVDqFEnEJ6nTiBCRduh3x+Hg6tK/q+RYFlWE77oLeaLx8kuQ45ja+5crzbUlUJKC5DlTFVymPXCFSDvzel0Q5GVZY6uDFQAApQvfsfGxog4HBzCIeJ0Y4QCOYWKQFqazR8FA2SjVSanonlCVqNBBQptFhMoNKvn0ZjOcTCyLGOEjrHFhDbLUV/vxaquRgDViYShbWzc2F7xtozEmjXNAIDzfRNVb3tqkohAGhoCNbexsbOTnNuDg5NVaY+KTTo6asfpZjF271qNxsY6xGIpvPhiZdd+TqouIGvXtlhmbXgxWAcLzkvENFIs/36lae06NK1dC1mS0PPcsxXtx9jpU1BkGYGmZsgp8lxmRWcKhmE0hxMpmj/edU1NWLVrNwDgxFOVdQOZ6u+HmEzA6XYDIpm/rTjeNjY2NpWiYBGIKIr47ne/i0svvRQf+MAH8LGPfSzvPxub+WQyshadYoUijFMt6KUlo8XBWGM3g4c6UegYB5NKpZFRre5qTgTi0mf8hZQ13IJWwt4rNwEA9u/v0a0P2TgY6y4QLAavOoFUWmRWq3E7FI+HziP6FpKo1bTX66q5xd5qI4vZaBIA4L2V3UGrJ666rOAinai+nTmQHW9JEiFnpLLE79jYGJVGdSfxxKRxRCA0tqOp2Rq7nOvqPFq06KjOQoQLoUWVWEygQEUg4zrHwUxNxyCKEjiORUuLNQROhUCdKY4dq2wkTDIp4vTpEQCkSFxLrFmrikDOj1e97SnVCaTRII5S1aSri4gxBqoUB9PfT8QmNAKoVmFZFq+/gUTC/P6J1yraVnf3EABgy+aOirZjBLSIkujCtYatNKLkicpGwox0dwMAVu+4FFAAhmPAeawZbZ2N4Fm4hqZF8FR8vEkUTPuWHdpmCIe/ttYybWxsbEqhYBHIsWPHcMkll6Curg6nTp3Cq6++qv13+PDhCnTRxuxYzRbfqVr4GcEJJJ2WIKliFKuovakTRaXjGi5ELGf3uFXGdaVQUUC1dwGmtHgS888Ry7H3ys0AgBdfOq19f6tNsobGOxen5gRSYRGIoI6vBa55xUBjnfQU8wGoWUcnPaBOIKKQAO/1guWs64Dj8nuRkcg1UpiL69IHbbzFhNonWwRiY12onfykgUQgWSeQoL4dKRMMw6CtnQgrRgwcCaM5gbRZ0wlkXGe3m+EhIrJpbq6vOSc7ANi9ew0A4PnnT1a0neMnBpDJyGhprkdLS7CibRmNNaoo4Hxf9UUgNA7GKLFi1aRLdQKpVhxMfz9xeqHuOrXMTTfuAkDmlUqusVEnkK1brS8CcSzhTAEA215PRAm9h15GIhKpWB+GqShh3TbSJ7/TsptOnHV0vBcRgVx/AxiWxUh3N2aGBivWBzreXZsvAkBialin+eMYbWxsbKpFwTPmU089teR/Tz75ZCX6aGNy8kUg5lfGOp3kPYhp/Z1AcguZVhEreNz6xJHkEosmAdTm7nEq1Kq2CEcQpLz2rcyWLR0IBr2IxwUcrfBOs6UQatQJxKk+KFY6pkRztqkxkQ3FME4gqqDP77NFIJUmo+7IEYS45QUJrMOBdJrcJwjRhC59oDugRCEOh8sFzmH++2sbm6VoalSdQAwYB9NskTgYAGhrDQIARg0sAhkZISKFjnZrOYG0aE4gEV37QUU27RaL21kp1127DU4nhzNnR3HmzEjF2nnttfMAgF015gICAGtpHEyvfk4gDY21JwLpVJ1AxsdnK77ZJ5USMToaAWA7gQDA9u1daG0NIpEUsa9CTrCKoqC7R3UC2dJZkTaMBHWmmB8HAwANq1ahZeMmKJkMup99umJ9oE4g4dY1pE9+6677ZJ1AFo63LxTGmksuBQCceKJykTAjPWS8m7s2AACcFh5vGxsbm0pgy+ZsKg4t7jqdHFjW/Kec06nGwRjACYQW6p1OzjK7dWhROqnjDvJYDe8ep84QqWo7gQi1EwfDcSwuv5xEwhw8eEqXPtDxrjWnCl6dv6sXB1NbIhuK26X/PA4AcTUOxue3Rlyakcl1pnD7fMscbX6kDLlPEGP6xsGIQtyOgrGxPI2GFoFYIw4GAFpVd40RtXhnNBRFwfCw6gRiMZFCs+ooMz42C0VRdOuHVeN2VkpdnRdX7SWOjb977EjF2jnyWh8AYNeuNRVrw6isUUUgI6ORqjsG1nIcTCjog8/ngqIoGFIdfyoFjZypq/MgGLT+M8FyMAyDG19P3EB+//vKRMKMjMxgdjYBh4PDhvWtFWnDSGjOFIuIQABg+42VjYRJRaOYHiCbufwBInSiQgkrknVeWXzO3kbH+8nKiEAykoSxU2TdtD7cofbJuuNtY2NjUwmKqsi/9NJL+PjHP463v/3teMtb3pL3n43NfATRWsVGTQSiU4xDLlQEYhUXEADwelUnEB3jYGjhsBZFIPRcEqq8g1+osXiSyy5ZBwA4cuS8Lu3TucNtobljJTh5cttT+TgYa133CsWtOoFUex6ZDxX0+by1N5dXm1xRAl8TIhAyh6Tj+ohAMjmiG1cNjLdNbUPjYCYMFAczpolAgvp2pIy0tRJhxfBIZQuExTI1FYUoSmBZBq0Wi9CgYqJEUkRMJ3EhkI0CareY00oh3HrrRQCAxx4/jExGLvvrS1IGx1UnyF07a88JJBTyo77eC0VR0Nc/WdW2azkOhmGYqkXC9KlRMLYLSJabbtwJANi3vwfxhFDW185kZPzwoWcAABvWt4Lnre8OqDmBLOJMAQBb1UiYvldfRXSyvPOMoijY96MfAgDq29rApEl9wBmw7rqPM2e8FxOqbr72OrAch/GzZzB5/nzZ23/xZz+FJIpw+XzgOS+ArDDFxsbGxmZlFCwCefjhh3H11VfjxIkTeOSRR5BOp3HixAk8+eSTqK+3jh2qTfmgO6KtssOfV+Ng0mn9nUASmgjEOrucjeEEUrsRAvR7Wu0Yh1qKgwGAiy5aCwA4cXKw4pasiyHUqEiBOoFIUqaiczjd2VarcTCGcQKJUyeQ2pvLq40skEJJWkzUhDOFLJM5VEroc47nxsG4/LYIxMbaUBHIpEFEIJKU0XaUt1goDqZddQIZHYno25EloAKFpqZ6yzhgUtxuHnV1HgDA+MSsbv0Yok4gFnNaKYSr9m5BwO/GxMQcXj3cW/bXP3tuDImkCJ/PhXXrWsr++maAuoGcP1/dSJipGhaBAEBnJ4mEGRysrPimXxWBrOqyRSCUTZva0dXZAEFI44XnT5btdUVRwj986mH87y9eAsMwePsfXV221zYyVHAhJzNglIXx3cG2NnRs3w4oCrqffqps7cqShN/88z9h/48eAgBc+fZ3aO4Ylo6D8TsBBlAyCjKJhWtonro6rLv8CgDAiSfL576iKAqe/O538OR3vwMAuOKP/lhzf7HyeNvY2NhUgoJFIJ///Ofxta99Db/61a/A8zy+8Y1v4OTJk7j77ruxatWqSvTRxuSIarGRt0ix0akqq9OiEZxAiIrca6Hd/NSJotI79S9ELJoEUJuFQ+rEUe3ibUpQnSksMk8sR0dHGA0NAaTTGZw4OVj19lM15rxCcTqztz2VnGMELQ6mtsaXQp1Aqi0mm09cE/RZRyhpVHKdQGohDkYGeb+STud4fvyO9UU3NrVNY4Ox4mAmJ6NQFAUOB4dQyDrzXTYOZkbnnizOsCoC6bCoQKElJxJGL2o9DgYAeN6B17+e7Np/9Hevlv31X3vtPABg547V4DjzRyUXwxrVIaK3t9oiEHINqcU4GADo6iIiEBrXUin6+lQRyKrGirZjJhiGwY03qpEwTx4ty2vG4ync+zcP4MmnjsHh4PDpT/0RbrnlorK8ttFhXRwYdV2Hlxdfb9n2+vJGlKQFAf/z9/8fDv/yF2BYFrf9zcdx2VveijQVJVg4noRhGTh8NBJm8Wffbar7yoknfl+WWLuMJOFXn/8c9v/4RwCAGz7wf3HNe/6PJgJxWni8bWxsbCpBwU8dZ8+exR133AEAcLlciMfjYBgGf/VXf4V/+7d/K3sHbcwP3XHuclnDls6p7jwSDeAEkkqqhUYLiUBo0VTPOBgaIVCLTiB0/KseB6M6gdRK0ZxhGFy0ew0A4HAFdpldCEVRtOK8leaOlcBxrBbpVUkRSM3HwahOINXO+p5PrIajvapNRsyJJ/FbX5SgMOT9ZgR97gWzohs7DsbG+lAnkGg0qYt72nzG1SiYpqY6sKx1irg0DmZ6OmaIcZ4PFSi0WVSg0KRGwtCooWojCGlMThKnhFp2AgGykTBPP3287Peyr73WBwDYubN2N9BRJ5C+vuqJQNJpCZFIAkAtO4EQUUb/wERF2+lXY37sOJh8blQjYQ4ePIWouumsWCYmZvGhD/8Ahw6dg9fD4yv//G7cpIpMagGGYTQ3ED6z+HrLlhteDzAMBo++hrmxsZLaS8zO4if3fhSnnnsWHM/jLZ/5R1xy15shp2XIKfJMZnVnCkcdWd9JRxe/Jm563bXgeB5T/f0YP3umpLaEeBz/9cm/xWuP/gYMx+HOT/wdrnrXnwCA7QRiY2NjUyQFr1qEw2FEo+ThsKOjA8eOHQMARCIRJBKJ8vbOxhJki7vWKDY6eVJATKf1dwJJqE4gHgsVcj1aHIx+i49a4TBQe4VDrXhb5cVfLT6jhormu1URyBF1MbBaSFJGy7iuRZFCNdyGNJGNRa57heIxjBMIuUb6alDQV200ZwohDpe3BkQJLNnhJOvkCpd1AomDt0UghuIrX/kK9uzZg0AggObmZrz5zW9GT09P3jHvec97wDBM3n9XXnll3jGCIODDH/4wGhsb4fP5cNddd2FwMN85bGZmBvfccw/q6+tRX1+Pe+65B5FIpNJvser4/W5NJGwEN5Cx8QgAoNlCUTAAEAi44VOds2j0ipEYHiZ9sqpAgUYLTegUBzM6FoGiKPB4eASDtX1d2bVzNdraQkgkBDxXxugGRVG0577du9aU7XXNxtq1RATSW8U4mOnpGACyIaC+3lu1do3Els3tAIATJyoXR6soCvoHiAjEdgLJZ/26Vqxd24x0OoNnnztR9Ouc7B7Ee//sX3Dq1DBCIR++/a33Yc+eDWXsqTmgzhuuJZxA6pqasGrXbgDAiaeKdwOZ6O3Ff7z/vRg4cgQunw9//OWvYct11wMApBhZT2J5FpzLWjF183H6qRPI4mtoLp8PG67cCwA48UTx4x0ZGcGDH/wAzh7YD4fLhbd97ovYfcedAIBMUoKSUQDGFoHY2NjYFMqKRSB/+qd/img0ite97nV4/P/P3p3HR1HffQD/zN7Z3PdFIOFIQC655Kwgl4qoiOJVFWv1sYdWqlZrbRWtR7XV2mqr9Wi1olXbiheI3CgFBDnkDggkQO57k+y9O88fs7NJgJCE7OwmM5/36+XreZrMzvz2x2R2Z+Yz3++qVQCAa6+9Fvfccw/uuOMO3HDDDZgxY4ZiA6Xeq+XmrjoqgZiMgXYwPaASiHwTU03tYOTKBJGsBNLSQkB7Nw5b2jiEd/7lyiNmjVQCARCsBLJ3TzG83vDdSGx9Y14rlVdak0MgdkVDINoLNbVm7mGVQKLZDkZxfrcULJMqgWjg5lHgK63o7X6523Phk+fbxXYwPc3//vc//PSnP8WWLVuwatUqeL1ezJ49G83NzW2Wu+SSS1BWVhb8b/ny5W1+v2jRIixduhTvvfceNm7ciKamJsydOxc+X8v3hRtvvBG7du3CihUrsGLFCuzatQs333xzWN5nOAmCgNSUQEuY6siHQKoqpTGkqywEIghCsBpITwyBlJXJlUDUGQJJC7SDiVQlkLJgyCYJgiBEZAw9hU6nw+xZ0s3DL1buCtl6y8vrUV1tg16vw3nn9QnZenub3H5SCKSkpDZs19TkKjfJybGqquDUFbm5aUhNjYPb7cW3gbZEoVZVZYPD4YZer0Of7GRFttGbydU61qw5t5Ywq9fsxo9/8iqqaxqRl5uGV1/5MQYPzg7lEHsNuR1Ie5VAAGBI4B7VubaE+W7LZrz14/9DfWkpEjKzsPDlv6HfqFHB38utUbQQSGipBNJ+gKy7LWFO7P4W/7jjh6g6ehTRScm46c9/waDJk4O/l+dbbzVA0Gn7ewoRUVd1+tvvW2+9BYfDgZdeegnXX389AOChhx7C/fffj4qKCsyfPx9vvPGGYgOl3svllk7szCZ1fDEyyiEQd88JgaizEkjkbh42Nmk4BBK4eRvOdjCiKAaPE1qqTNG/fzpiYyywO9w4/F1Z2LYr35iXWqOoI5zXFcFjTKCSkhLkp6u0GLIBelAlELt2j+Xh1lIJxA6zBkIJOoN04SlSIZBgOxh3szZCN73Ihx9+iFtvvRVDhw7FyJEj8Y9//APHjx/H9u3b2yxnNpuRkZER/C8pqaXFRUNDA9544w0899xzmDlzJkaNGoUlS5Zgz549WL16NQDgwIEDWLFiBV5//XVMnDgREydOxGuvvYbPPvvstMojapAih0B6UCWQ1FR1hUAAIDNQZaOsvOeFQEoDwZQslbaDSQu0PaqsiEwIpCTQbketlVa6Sm4J8/XXh1Fb1xSSdco33gcXZGu2WiAgtdKyWs3w+fw4caImLNusrmkJgWiVIAjBihFbt3avXUN7jh+XWs1kZyXBYFB3ZYRzMWO6FALZ9s13qK9v7mDptv759no88uh7cLu9mDixAK/+7UfIzlbn52FnGOIC7WDaqQQCAEOmXQRBp0PZgQOoKznZ7nJnsv2jpfjgwV/A1dyMviPPxw9efR2pef3bLOORW5PEqv94Lrffaa8SCAAMnDQZRosF9WWlKDvYtSpa+1avwpJ77oa9oR4Z+QW47bU3kH3eeW2WkVvBGDUw30REodbpuz9yiq/1BSqdTocHHngADzzwQOhHRqoh3wxTyxPRRqN0MuPuAe1g5BCIRUUhkEhVomitWX56PEZ7Nw7lm9bhDOG0bk+iluNEZ+h0OowYkYv/bTqIXbuKMGRweJ4Ia2lVop25bi0qWG1IuYCC1udYrgQSyTAfADQ3BdrBaPBYHm5tQwnqD4EIgdaA8EfmKSSthW56s4YG6YZu63NoAFi/fj3S0tKQkJCAqVOn4sknn0RamvR09Pbt2+HxeDB79uzg8llZWRg2bBg2bdqEiy++GJs3b0Z8fDzGjx8fXGbChAmIj4/Hpk2bUFBQcNpYXC4XXK6WAKTNJgUqPB4PPJ7IhvY6kpws7ecVFXURH2t5RT0AICUlJuJjkcnj6O545OomJSU1Pea9AYDf7w8GgJKTo3vU2EIlSd7HK+sj8v5KSqQWDhnp8b1qfkO1758qOysRBQVZKCwsxZo132LelRd0e527dh0DAAwd2qdXzbEScvulYv+Bk/juSBlycpS/kV1ZKYXIkhLVdfzo6v4/ZnR/LF++A1u3Hobn/2aGfDxHj5YDAPrkJKtqnkMlMzMegwZl4vDhMqxZuxtXXD62U68rKanFK39bCQC47tpJuPP/ZkGv12l6joUo6Zlmk8/U7jyYYmLRd9QoFG/fjr2rV2HCjTd1at32+nqs/NMfIfr9GD7nMsy+5+fQG42nbcfdIF031ln16v+3CMy3x+Zu970KBgMGTJyEg+vWYs+qlUgdOKhTq/Y4nVj++2fg93pRcOFUzPnlr2C0WE7bjktL890JSn3/aW87RNS7dekRYK2XhaRzo7YnouUn5709KARijVJPqXv5vTgUvEHbkaZAO5hYDd44lNuxhPMJfperpaqOWo4TnTVyZCAE8u0x3HD9lLBssyWgoJ7wWFdYgu1glKsEovU5DlYCiWBbL6DlWM5KIMoSRbGlHYzLDrNV/b3W9WYD4AIEf2RKire032mGOZqVQHoqURRx7733YsqUKRg2bFjw55deeikWLFiAfv364dixY/jNb36D6dOnY/v27TCbzSgvL4fJZEJiYtsn8tPT01FeLt1gKS8vD4ZGWktLSwsuc6qnn34ajz322Gk/X7lyJaw9/O/WZpNuUG/bthtxsZGplCD77vBxAMCJ44exfHl4nmLvLLlt77mqrZUq0+3YeQDLl0e+6qWsudkTDIx//fVX0OvV186hrk76zlJeXodly5aF/drb9u2HAuM4vT1Vb9Ddff9MUpIFFAJYteprmIzV3V7fps37AAAed3WvnONQ0uml/X316v/BYS9WfHtr1x4FANjtdaqc+87u/3a7dI763ZFyfPDBR4iJCe256lcbiwAAXo9NlfMcClmZBhw+DPz7Pxtg0Fd26jVfbZSqWOTmxiO3nw9ffLFCySH2CkafAUPQHya/AatWrgLa+cj0JKcCALZ+/BFqEzoXOKvZ8Q38Xi8s6RnwDxmKL9r5++rXmIV4xKCwuBA1FVvP6X30FjpRh2EYCL/LjxXLVsAv+M+4nD1OChPvWvE5HH1zO/Vdpn7/Prjtdhjj42EYNx6r1q4943J9mtKRhHgcLTuGLcu3n3EZLVLi+09rdrtd0fUTUXh0KQSSn5/f4QG8tra2WwMi9ZFvhqnlCX+jSa4EEvkLY3I7AzW1g5FDAC6XdLEvEhf5tFwJRG6V4XZ74ff7w9IzV676otMJmisbev7IXADA7t3FYZ9vrQVuZPLx0qFgQMHp0vYcRwdCF03NygVtOqNJPpZHqyco2RPJgQRAO5VADBYpBKLr2qlUSEihm9aVQBgC6anuuusu7N69Gxs3bmzz8+uuuy74/w8bNgxjx45Fv379sGzZMsyfP7/d9Ymi2OZc/Ezn5acu09pDDz2Ee++9N/i/bTYbcnJyMHv2bMTFxXX6fUWC3b4ZW7eVITY2GXPmzInoWF57Q7qRe8kl01FQkBXRscg8Hg9WrVqFWbNmwWg89+8esXEHsHbdcQhCVMTnubVDh0oB7EBSYgwuv3xupIejCJfLg1df/xYejx/f+95FiIsLbzDrrbelNlKXz52O88/PDeu2uyNU+/6ZxMUdxP82/QsOh77bfw+NjQ488/uvAQALF85DYqL6vyudTYNtI/buXQWTKVHxY83Jkhr84fltAIBbbpmD0aPyFN1eOJ3L/r9iZRkOHy5DQmIeZs8aGdLxrF33TwAVmDZ1HObMGRPSdavFqNF12PDlCzh5shHjJ3wPyUlnb1Hk9/vx1tt/AgDc9P2ZmDVzRDiG2eOJfhEl7x2Bzq/D9EnTYEk882emY8oU/GXNKjirqjB+2FAk9+3X4brf+ngpAGDygmsx5rLL2l2u4rPj8NS7MWL8+YjKVv/5WOm/j8Hv8mH6hGkwJZ/5WrnXPQMvrfoC7sZGjOybgz7DO95fP1i3BgAw7sqrMOUs8121qgSuCgeGjBqKsf2129pLpuT3n9bkypFE1Lt16crlY489hvh49fW+JWW1tIMJ/4VyJRgDN6k9PSAEYg/cxFRTCKT1e3G6PIi2hv/mXWOTdp8eb33T2uXyhmXfcsrVgsxGzVWcKijIgtlsREODHUVFVejfP13xbWq+SoVF+RCIS+NzHBsbBUC64B1JdjvbwYSDHEjwet3w+32aaE+ijzIBDYBOiEAIxOMHpC6dmgnd9EZ33303PvnkE3z55Zfo0+fs7d4yMzPRr18/HD58GACQkZEBt9uNurq6NtVAKisrMWnSpOAyFRUVp62rqqoK6eln/i5hNpthNp/+vdpoNCp68TAU0tOleaipaYroWD0eL+rqmgEAWdnJPW7euvtvmdNHemK2vLy+R723+nrp+0RqalyPGlcoGY1GJCRYUV9vR22tHcnJ4bvu1tjoQHl5PQBg8OA+vXKOlTiODRmSAwAoKq6CKAowmc79M//AwSMAgJw+yUhLS+xgafUbMCATAFB8vFrx/e3vf18Hn8+PiRPyMf6CfEW3FSld2f/HXzAIhw+XYceOY7hsTufakXTW8RNSdaz+/TN75XEkHPrmpGHoeTnYt/8ENm4sxDVXTzzr8jt3HkV5eT2sVjOmXzSc89qKMd4MT50L/kY/jGlnnhdjcjLyxl2AI1s249CXG3DhD3541nVWHj2CisOHoDMYMOLiS9qdb1EU4W2S7glYEqI08e9iSrbAWdoMX4MXxox25ttoRMH3LsSeL1bg0IYNyBt99jCYrbISRTukqh7nX3bZWefR1yzPt0UT891ZSp/Hca6J1KFLjxxff/31WLhw4Vn/IzqV3OpBPZVApJN/tzvy7WCcKgyBmFsFASLVSqC5Wa4Eor2nx1tf3HI4wzP/waCYBqsmGI0GDBsmXWD8dndRWLbZOnSjRfLxUg4IKEFtFbC6KjZWCl1EMgTidnvhdkvfP7QY6AsnvytQlcIt3Ri1xKj/SShjIKCq14f/+5cvMN8+nwd+n1cToZveRBRF3HXXXfjwww+xdu1a5OV1/MRxTU0NTpw4gcxM6abYmDFjYDQa25T3LSsrw969e4MhkIkTJ6KhoQFbt7aUn/7666/R0NAQXEZNUlOlSiVV1ZF9Gq2qygZRFGE06pGYoL5jXUZGAgCgvr5Z0bBsV1VVSS2A5P1ArdLSEgAAlVXhbXn03XdSG6DMzMRgkJeA9PR4xMVFwefz4+jR00N3XbFmzR4AwOjR/UMxtF4vt5/UzuzEiWp4vcpdV9u//wTWrN0DQRDw4x9drNh2epMLLhgEANi67TuIohiy9TqdblRU1AMA+vZNCdl61WhmoJrH6tW7O1x2+ec7AQAzpg/X7AMm7TEmSedjntqzX9cZOmMmAGD/mtUd7vN7Pv8cADBw4iRYExLaXc7v8kH0StUwDTHauOZjTpKuqbhrnGdd7rzAfB9YvxZ+39mP73tXrgBEETkjRyIxK7vd5US/CG+zdI3NEKuN+SYiCqVOh0C09nQ2hU5LJRB1fFCbjNJNciVPVjvLocIQiCAIwWoU4QohtOb3+9EcaGGgxRuHOp0u+LcqVzNQmkvjN8xHjsgFAOzadSws25OPG5Yobc63fLx0Krh/B4M2Ggw2AT2jEkhTc8vFCWsEKkppidwOxu2UQiAmq/pujJ7KFCPt4wa9KaQX0DsjON9uqT+vOTq8LQPo7O677z4sWbIE7777LmJjY1FeXo7y8nI4HNLxsKmpCffffz82b96MoqIirF+/HpdffjlSUlJw1VVXAQDi4+Pxwx/+EPfddx/WrFmDnTt34qabbsLw4cMxc6Z0YXXIkCG45JJLcMcdd2DLli3YsmUL7rjjDsydOxcFBQURe/9KSQnc/K+utoX9b661ymAYIV6V10diY6MQG6ieVVZWF+HRtKiuaQQApKSoPQQiVf+orAxvCOTQYSkEMmhgZli329MJgoD8QVLLp0OHS895PQ0NdqxdJ4VALp8b2soLvVVGRgLMZiPcbq9ixxpRFPGXv64AAFx6ySgM5P4NABgxvB/MZiNqahq7HW5q7fiJagBAfLwVCSoMSYbS9IuGQRAE7N5THAzOnInD4ca6wLHj0ktHhWl0vYcpWTrHd3cQAsn/3oXQm0yoKS5G5ZEj7S7n93qxZ+UXAIARl1x61nV6G6XrPfooA3SG8LcwjwRTivT90NVBCCRv7DhYYmPRXFuL47t2trucKIrYvUIK3Yy45OxtwbzNHkAEBL0AfZQ6qswTEYVTpz+pInmxhXo3tYVAjEapHYz8hHEkqbEdDNBy4zQSlUBqa5sgiiJ0OkGzJ6/B+Q9TCKelPYk6jhFddf750lPCu74tCstnrStYCURdx43OigqEXxwO5SqBuDS+T8t97JuanBH7/tgcaOtltZqh12vjwkyktFQCkUIJFg20J5FDIIKgk9qzhJE83y5nEwCwEkgP88Ybb6ChoQHTpk1DZmZm8L/3338fAKDX67Fnzx5ceeWVyM/Px8KFC5Gfn4/NmzcjNralv/Uf//hHzJs3D9deey0mT54Mq9WKTz/9FHq9PrjMO++8g+HDh2P27NmYPXs2RowYgbfffjvs7zkcUpKlufF4fGhosEdsHJUV0s359DT1tsjNyJRaVZSV95wQSFWVVAFG9ZVAAu+voiK8IZDDgUoggwbxJvmp8vOlEEhh4bmHQJYt3w6324v8/CwMGXL29mBaodfr0K+f1H6qqLhKkW1s2lyInbuOwWQy4PYfzlRkG72RyWTAqMD1h63bvgvZeo8fl0IgrALSsdTUeIwc2Q8AsPSjr9tdbsOX+2B3uJGVlRR8cIhaBCuB1LjOes3BHB2NgROktjvbl/633eWOfrMNzbU1iIqPx8CJZ6+q52nSXlUKc7IUAvHUuSD6259vvdGIwVOnAQC+Wfphu/82pQcOoKa4GAazGUMumn7WbcuhG0OM9lqIExGFQqevivv9fqSlpSk5FlIp+UayekIgUurU44l8CER+ot8apa6nnKMCZQ4dYapE0Zr8JEpqajwMBn0HS6uTXGZSrmagtGBQzKSOY0RXDRuaA71eh6oqW1ieupSPyVqvBGJXMGQWnGONBm3iApVAfD6/om13zkau6BQdra7Px57IF2iP53Y1w2AyQa+BvrHmGCt8Pul7oFyZI1z8bu2FbnqThoYGiKJ42n+33norACAqKgpffPEFKisr4Xa7UVxcjDfffBM5OTlt1mOxWPDiiy+ipqYGdrsdn3766WnLJCUlYcmSJbDZbLDZbFiyZAkSzlK6ujczGg3BcLYcCIiEikCFhrR09YZAsgIhkPIeVAkkGAJRfSWQBADhrwRy+DBDIO2RQyDnWgnE7/fjo4+ltl1XzRvPm1et5AZCIMeOVYZ83T6fH399WaoCsuCaScFWVyS54IKBAICtWw+HbJ3FgTBP35zUkK1Tza6+agIA4O0lX2LLlkNnXObzQCuYSy8ZxWPHGZgSTBAhwu/ywWc/+/X5MVfNBwDs/ORj7Fu98ozL7Pl8OQBg6MxZHZ7Pehul6z1aaQUDSIEXnUkH0SfCXX/2azyjrpwHQa9H4Yb12L70wzMus2eFNN8FF06FOfrsD2B6m7Q330REocRHI0lxjYGncdXSX1auBOLpAe1gnCqtBBIVKN0fiUog8k14+QKoFrVUAglPCETrrTMsFhMKAhcY9x84qfj2HA6NVwKRQ2Z2BUMgcrBJo/u02WyEySQFJm0Ragkjt4PRYluvcGtdCcSskUCCOSYGHre0b3vD/F1FDoF4XM3Q6fUwmBl0Im2Qq0BUVUcuBFIVaAeTlqreEEhLJZD6yA6klerAv7na28HIN6pLS2vDtk2Pxxu8Cc8QyOny86U5OXKkHD5f10Of27cfxcmTNbBazZg1c0Soh9er5eZKDxkeKwpdSxLZhg37cOxYJWJjo3DzTVNDvv7ebtw4KQSyc9ex4AM53XX8uBQCkSu80NnNmDECV14xDqIo4tHH3j/tuF9RUY9vtkutSy69hK1gzkQw6ODUS+dhnWlRMummWwAAy5753WltYZyNjSjc+BUAYMSlZ29NAgDeQCUQo4YqgQiCAFOSdG3F3cF8Zw0eguk/+jEAYNWfX8DJPXva/N7rdmPf6lUAOm69AwCeRu1VXiEiCiWGQEhxjTbpInmcSkIg8o0tTw9qB2NRWQhEDgM4wtSOpLXSQAgkU8shEHN42/EEK4FY1LUfd4W8v9XWNim+LZcrcNzQaEAhKlA5yaFoJRBtB5uAluBnY4RCIHI7mOgYhkCUJlfCcLuaNdOaxGy1wuOR9m1XU3hbU/hcgfkOhG74ZCBphRwCqY5gCCRYCUTF7WAyMwIhkJ5UCaRaG+1gBg7IACC1Z/H7w1NlqqioCl6vD7ExFmSkJ4Rlm71JTp8UWCxGOJ0enDhR3eXXL/1YavVw6SWjYLUytNna4IJsAMA33xw5p4DN2XyxahcA4Kp5FyAuTh3XIUOpf146UpJj4XZ7sWdPcUjWyXYwXffzRZfjvCF90NjowEMPv9MmkLP88x0QRRHnn5+LrKykCI6yZ3PopXP+jkIJADD19juQN24cPE4n/vPrh+BsbAz+bt/qVfC53UjNy0NGfkGH6wq2J4nV1jVMU6AljKu64/kef90NGDJ9Bvw+H/77m4fRVFMT/N2hjV/B2diI2NRU5I4Z2+G6gqGbGG3NNxFRqPToEIjX68Wvf/1r5OXlISoqCv3798fjjz/e5oRYFEUsXrwYWVlZiIqKwrRp07Bv374263G5XLj77ruRkpKC6OhoXHHFFTh5UvmnrUkiPwWsnkogUgjE7Yl8JRCHQyrBZlVZCCT4pH4EK4FoOgQiVwIJUzsY+Ya52WwIy/Z6org4KwDAZlP+ZmJLQEFdx43OkisnKRkyky/gWFTSBu1cxMZKFwhsNlYCUbs2lUCirREeTXjojUZ4PYGLjk0dXwQLpWA7GJcdZuvZS+cSqUlKcqASSATbwVRWSCGQdDWHQDJ7VgjE5fKgoUH6fqz2EEjfvikwm41wONw4cbKm4xeEwOHvWlrBMFR4Or1eh4EDpWoghw51rSVMVbUNX311AAAwb94FIR9bbzdmTH/ExFhQU9OI3SEKIgBSAF1urzFr5siQrVdNBEHABRcMAgB8HYKWMKIo4nggJMVKIJ1nMhnw5BM3IiEhGocPl+HRxe/jD899jOuufw6vvb4aADDnktERHmXP5jBI18Q7qgQCADq9HvMeeQxx6emoO3kSHz76a6z88wv4283fx4rn/wAAGH7JnE59FnoCoQSttScxJ3euEgggHWfmPvgQUnLz0FRTjf/++ldY85eX8NoPFmLpo78BAAybfTF0+o7bsHtZCYSIqFt6dAjkmWeewSuvvIKXXnoJBw4cwLPPPovf//73ePHFF4PLPPvss3j++efx0ksvYdu2bcjIyMCsWbPQ2CrRuWjRIixduhTvvfceNm7ciKamJsydOxc+X+Rv4mtBYzAEoo4bMcF2MBGuBCKKYjAkobZ2MHJlk0iGQLTdDkaa/3C1g+ENcyA+XrpxWl/frPi2nE5tVwKxRAUqDSl0fPH5/HAHPh+0GrQBekAlkGbpglB0NJ+6VFpLKEE7lUAAwOuTjiGe5vDu4y2hm2aYYxgCIe0ItoOJYAgkWAkkXb0hkKxgO5ieEQKpqZGu65hMBtU8VNIeg0GPgQOlaiCFhV0LHJyrw4elEIgcdKDT5Qfa5BwKzFVnffbZN/D5/Bg5oh8G9M9QYmi9mtFowIUXngcAWLt2TwdLd96GL/fD4/EhLy8NAwZw3tszYUI+AGm+RFHs1rqqqmxwONzQ63XIZtWKLklPT8Djj10PnU7Al1/tx4dLv8aJkzXQ63UYf8EgzJjBNlJnE6wE0onKFABgTUjANU8+Db3JhGPbtmHbvz9AddExQBCQM3IkRl42t8N1iH4xWJlCq5VA3LVOiP6OjxsmqxXXPPkUTFYrTu7dgy3vvYvK76TgWdaQ8zD2qqs7tV1vk3TerbXQDRFRqPTox643b96MK6+8EpdddhkAIDc3F//617/wzTffAJBugr/wwgt4+OGHMX/+fADAW2+9hfT0dLz77ru488470dDQgDfeeANvv/02Zs6cCQBYsmQJcnJysHr1alx88cWReXMa4ff70RR4QlJ+0r23C4ZAvJENEbndXvgDX7qiVFZaNEquRBHBdjAZmg6BSPPvCtP8B0MgGr5hLodAGsJaCUSbJ1DBSiB2lyLrb13GVatzDPSEEEigHQwrgSjO527VniRNOyEQnyj9rXvs4f2u0tJ+x66p0A1RsB1MTWRCIC6XJxjWTUtVbwgkIyMBANDQYEez3YXoCJ9nyqGflJQ4TVSqKMjPwr59J3DoUClmz1K+isHhw1LYZNAghkDak5+fBaBrlUC8Xh8+/mQbAGDevPGKjEsNZlw0HMuX78C69Xux6J650Ou7/5zi6jW7AQAzefP8rCZOLIDJZMDJkzX47rvybh0DDhyQKm1nZyfBYOj4qX5qa+yYAXjgF/Pw0cdbMfS8HIwbNxCjR0mVcujs5EogPocXXrsHBmvH118yCwbjyl8/gk3vLEFmQQHyxo5D7pixiIrrXLUxn90L+EVAAAzWHn1bLeSM8SYIBh1Erx+eBjdMiR1/R0zu2w/zH38C6197FWkDBqD/OGm+oxM7Fxjze/zwOaT7L1oL3RARhUqP/rSaMmUKXnnlFRw6dAj5+fn49ttvsXHjRrzwwgsAgGPHjqG8vByzZ88OvsZsNmPq1KnYtGkT7rzzTmzfvh0ej6fNMllZWRg2bBg2bdrUbgjE5XLB5Wq5QWSzSRcfPB4PPJ7wPB2vBo1NjmCq3GIxRHzu5O13Zxw6nXTxye2K7L5ga2ypGKDXde899TSmQFuQ5mZnWN+Xz+dHRUU9ACAtNVZVcwp0fv83maT5bwrT/Nvt0s1ag1GnujnvrJgY6eSpvr5Z8TmwB9pIGY16Tc23/F6NRuniot3hVuT9NzW1BHkEQdTUHLcmV+Cor2+KyBzIrZWsVqNm/w1kofjuczY+p1T5xu2yIzYqUTPz7ZdDIM2usL5nbyDI53Y3w5Rg1cx8nyul9/9Tt0PKSU2JbCWQqmppuyaTIRjeVaPoaAvi4qJgszlQXl4X8QoG8ryrvRWMrKAgGwBQeKhE8W2JohisBMIQSPvyBwVCIIdLIYpip8JIy5bvQGVlA+Ljrbho2jClh9hrjR07ALExFtTWNmH37iKMGtW/W+urrWvC9u1HALAVTEeirWZMGJ+PL7/aj3Xr93brGCAHniZPGhyq4WnOFZePwxWXj4v0MHodURBhiDfC2+CBu8bVqRAIAAy5aDqGXDT9nLbZuhWMoFN/OLU1QRBgSjbDVeGAq8bZqRAIAAwYPwEDxk84p23KVVd0Jh30ZobMiIjORY8OgTz44INoaGjA4MGDodfr4fP58OSTT+KGG24AAJSXlwMA0tPT27wuPT0dxcXFwWVMJhMSExNPW0Z+/Zk8/fTTeOyxx077+cqVK2G1qveiT6jV1wdu7hp0WL16ZYRH02LVqlXn/NojR6RKEdXVtVi+fHmohtRlDQ3SjVyDQYcvvlgRsXEoobxcespm374DWL5c+fYYMpvNBZ/PD51OwNatG4OBH7XpaP+vrJQuBu7Zsw+xMfWKj+fAAel4XVpyIqJ/U5F05Gg9AODEiXLF5+DEcemi8qFDB7B8ebWi2+qJdmyXLlI1NjYrMtfysdlo1OHzzz8P+fp7i9qaCgDArl37EB8X/ht2Bw4eBQCUlBzX7HHlVN357nM2BfW5MMMEt7sZpZWVmpnvaJcUNCopPol9y0+GbbsDG/rCCgvcLjua6r2ame/uUmr/l9ntylfy0rqUCIdAKiukVjDpafGqr0iRmZEIm82BstLIh0Cqq+VKILERHUe4BKtOFHY+cHCuyivq0djkhMGgR15ummLb6e3690+HXq+DzeZARUVDsFpOe6qrbfjLX6VzgIW3TAs+YEGnk1rCDMWy5duxZu2ebodA1q3bC5/Pj8GDs9GnT3KIRqle0y8ahi+/2o+16/bgjttnntPx5uTJGmz5+hAEQcBVV7HqDYWfKckCb4MHrhoHrDnKV0l0V0uVTk0J6qrI3VnmZAtcFQ64axzAQOUr47kC823U6HwTEYVCjz4bef/997FkyRK8++67GDp0KHbt2oVFixYhKysLCxcuDC536hfVzpwsd7TMQw89hHvvvTf4v202G3JycjB79mzEdbJEGAV62b72LRISojFnzpxIDwcejwerVq3CrFmzYDSeW5n+b7YfwX8+PIQoa2Tf09FjFXjl1V2IiYnqEXMbSqVla7B9ezmysvqG9b3t2lUEYBcyMxIxd+5lYdtuuHR2/z9y9HN8u7sKffvmYc6cmYqP62DhZwDKMWRIAebMuUjx7fVEBw6W4D//LQRgVHyf/2JlBYAGjBs3BtMv0s6TafL+P3PmRXj19W/h9Yq49NJLQ35x/dixSrzy6i5YrRbVHZu7orxiLbbvqEBaelZE5uHrrR8AqMKoUcMxZ865PXWiFqH47nM2JR8chej2w+2yY9iwKZiikf1+y8EPAABpSWmYNGds2LZb/nExvI0euN3N6D9oOGZpZL7PldL7v0yuGknKkStB1Nc3w+32hv3GamWVFAJJTVNvKxhZZlYiCg+Voqy8LtJDCYZ+UlPUP+8A0D8vDQaDHo1NTpSV1SErq3Pl0s+FXAUkLzcNRmOPvjQYUSaTAXm5afjuSDkOHS7tMATyxxc+Q1OTE4MHZ2PBNZPCM8hebMb04Vi2fDvWb9iHny+6vFstYVav/hYAq4B01uTJg2E06nH8eDWOHqs4p9Df0o++BgBMGD8IfbIZvKHwMyaZgWONcNc4w7I9Z4UU/Dana/MBYVOy1KbIFeb5tmh0vomIQqFHn+n94he/wC9/+Utcf/31AIDhw4ejuLgYTz/9NBYuXIiMDOkLanl5OTIzW0rXVVZWBquDZGRkwO12o66urk01kMrKSkya1P4Jmdlshtl8esrQaDQqegFRbRwOqWxXbGxUj5q37vw7RkVJ+4XP64/oe/IEesJbo0w9am5DITpa+lLpdnvD+t6qqhsBAFlZSaqb09Y62v+tVmn+PR5fWObB4/EFt6vmeT+b5CTpxobNZld8DlxuqXVDTEzPOi6HS2ysdPLo94sQRQEmU2jnwOuTW6Cp79jcFQkJ0lM4zc2uiMyDw+EGAMTFRWv636E1Jb7DiqIIMfB9xO1uhjU2TjPzLchnUT4xrO/ZL8+3y46ouFjNzHd3KX0Ox38H5cXHW2EyGeB2e1FT24jMjMSOXxRClZUtlUDUTp7bsrL6yA4ELSEQrVQCMRoNGNA/HYWHSlF4qDQsIRC2gulYfn6WFAI5VIoLv3deu8vJrTX0eh0eenB+twINWjF27ADExkahtrYJ335bhNGjz60aSEVFPb7dXQxBEDBzxvAQj1KdoqMtGH/BIGz830GsW7e3yyEQp9ONz5ZtBwDMn6/t0D1FjilJukYfjlCCKIpwVkiVKbQaSjAnRwEA3DUuxSuWAWg131GKboeISM169BmJ3W6HTtd2iHq9Hn6/dPEzLy8PGRkZbcr7ut1ubNiwIRjwGDNmDIxGY5tlysrKsHfv3rOGQHord+DmXk/R2Ch9WMfFqefLkSnwlIzbE9m5djqlG1yWKFNEx6EEi0V6T/JNvHApLa0FAGRkJoR1uz2NxSLdyHA6w9Pf3uXytNmuFsm95Z1OT3A+lOIM/F1pdb7N5pb3bbe7Qr5+l1Pb8yuLjZVO0hsbw/OEyKmamqXtyqFCUoYcSACkUII5RvkSvD2FYJAueIleMWzbFEURfrcUnHS77LBEa2e+iQRBQEqyFASojkBLmIpAO5g0LYRAMqUQSHkPqARSXROoBJKqnWqs+QVSS5jCwlJFt8MQSOfJc3ToUPv/Js3NTjz3/CcAgBuun8J57SSDQY+pF0rBmjVr95zzetaskV47cmQ/pKaq/zgdKhdNkyqDrlu/t8uvXb16NxobHcjMTMSE8fmhHhpRpxgTAw9qNnvhcyp7nd7T4Ibf5YOgF2BO1uZ1BmO8CYJegOj1w2NT9pq91+6FN7ANc5p67isREYVbjw6BXH755XjyySexbNkyFBUVYenSpXj++edx1VVXAZAuBC1atAhPPfUUli5dir179+LWW2+F1WrFjTfeCACIj4/HD3/4Q9x3331Ys2YNdu7ciZtuugnDhw/HzJnKtzkIF5vNgdmXPI6LZjwKr9cX6eEE2QIhEPlmkBoYjHoALdULIsUeuJEbpcIQiPyeHM7whkDKyqQLnVmZyj1x1Ru0hEDCM/9y2KT1zXmtiY42B58Ua2iwK7qt4LHDor5jR2fo9brgPq5E0Ezeny0a3p+B1iEQR0S23xwIgcTEsHeskuRAgs/ngd/vhTk6OsIjCh+dKXAa5Vf26afWRI8fCGRO3O5mmDQ030QAkJIiBQGqIhACkSuBaCIEEqgEUloW+RBIsB2MhkIgBflSCORsgYNQOPxdIAQykGGFjhQEgjmHAsGZM3n5lS9QVWVDdnYSfnjbjHANTRWmT5cqd6zfsBc+n7+Dpc9s9ZrdANgKpqumTBkCg0GPY8cqUVRU2enXiaKI/364BQBw1bzxrHpDEaMz6WCMk65tKV0NxFkeaAWTGgVBH75zwJ5E0AkwJQWqdys8365AKxhTohl6s17RbRERqVmP/pb24osv4pprrsFPfvITDBkyBPfffz/uvPNO/Pa3vw0u88ADD2DRokX4yU9+grFjx6KkpAQrV65EbGxLudA//vGPmDdvHq699lpMnjwZVqsVn376KfR69XyAxMSY4XC4IYoi6uqaIj2cIJstUAlERSGQYCWQCFddkW9eWqPUd4MrGEIIcyUQue+1/PSbVsk3r8NVCcTpCiS7NXzTXBCEYDUQJUMgrT8jEhK0e/MwGDRTIgTCyjYAgNhY6cJApEIgTU1SlZcYVgJRlN8lhUA8XukCkLZCINL3QcEfvtMpX6Dyit/vhc/ngSVGO/NNBLQEAaqqGQJRknwuVBbhEIgoiq3awWgpBJINADhYWAJRVKbaVGOjI/jvO5AhkA7JQZnKygbU1ze3+Z3f78crf/sCHy79GgDw4ANXafq89lyMHTMAcXFRqKtrxq5vj3X59YWFJThYWAK9XodpU4cqMEL1io2NwrhxAwF0rRrI/v0nUXioFCaTAXMvG6PU8Ig6xZQcnlCCMxBKsGRouyqFPN+uas43EVFv0KNDILGxsXjhhRdQXFwMh8OBI0eO4IknnoDJ1PL0siAIWLx4McrKyuB0OrFhwwYMGzaszXosFgtefPFF1NTUwG6349NPP0VOTk64346idDodEgM39Gpre04IpFGFlUCMgRBIpCuuOAJtDFRZCURuBxOmEIKsrJQhEKClxZBT4bYkMpdLClRp/aZ5fJwcAmnuYMlzZ7e7ggG2pCTtthGICoTnlKwEYtZopRVZpCuB2NkOJizkdjAed+CpKA21JzFYpO+DOoQvVH566EY7800EACmBEIjcmiVcRFFESUkNACA7S/0VAzMyEgBIn+FNTZFp6yZt3xn83pqqoRDIwIEZ0Ot1qK9vRrVCgafvjpQDkP6t4+LUc61GKdHRFvTpkwwAeOKp/wQrJrhcHjy6+H388+0NAIA7bp+JsWMGRGycvZXUEkYKb/z735u79FpRFPHHFz4DAMyYPhyJifxu1FXBljDrOh8CkauAzJg+XNMPl1DPILdmUbwSiBxKSNd2KMGcEt7QjVnj801E1F09OgRCXZMYuKFX0wNDIGq6sGAySRf7I14JJHCjMcqqvhuNwRBCGCuBeDze4FOFWVoPgQTCGK4wtYNxsR0MACA+QflKIHJI0BplgkXDIQUlK4HIfzdabwcjVwBranIq9hRre3w+f7DtUXS0+qpl9SRyOxiXUzq2mDVUmUIfOI7ohPD9rcvzrcXQDREA5Aeexv/660Nh3W5dfTPsDjcEQdBEWNxqNSMh8L20vDxy1UCqqqWwT1xclKbOE8xmI/r1SwUAFBYq0xKmsLAEADBoEKuAdNZN378QOp2ATZsKcdMtf8LTv/sQd/3sdaxZuwcGgx6/efga/ODW6ZEeZq913bWTodfr8OVX+7F9x5FOv+6Llbuwe08xoqJM+OlPLlFwhOp14feGQK/X4bsj5Th+vLrD5XfuPIo1a6X2O1fPn6D08Ig6FKwEomBlCk+TB75mLyBI7WC0LDjftU6IfmWu9fjdPrhrpYdfLenanm8iou5iCERFkpOkFjisBKIsg0EKgfh8fvj959avNBQcjkAlEBXeyLXKN2jDFEIAgIrKBvj9Ikwmg6YrJACAxRzeSiwuuX2Ghi7unkmwEohN+RBIosb3cTkEYmc7GMXIn/s+nx/2QOWqcGlubtleTAwrgSjJF6hM4XQ0AtBWOxiTVQoY6XXGsAWd5EogLqdUMUpL800EAFOmDIHRqMexokocOVoetu2WnJSqgKSlxmkmjJCRIYVdSiPYEkaLrWBkBflZAIBDh5UJgWz4cj8AYOTwXEXWr0ZXXD4OS/55Dy783nnw+0V8+tk32LfvBGJjo/DC8z/ApZeOjvQQe7X+/dMx78oLAAB/+tOyTlXebW524i9/XQEAWHjLRUhNVX+7LiXExVmDFWw++njrWZfdsuUQfn7fm/B4fJg8aTCGDOkTjiESnZU51QLoAG+TB+4GZa49uOSqFMkW6Izavp1mSjBDZ9LB7/bDVaVM5VdnpbReQ6wRBqs2vnsTESlF259aKiPfuO5JIRBbo/QlSU0hEFOgBzwAeDyRawkjP8GuxnYwcoUCZxhDIK1bwQiCELbt9kTmwM3rcM2/fNNcKxfV2xMXH4ZKIHXS54PWg04tlUBCf4GgpR2Mtvdns9kIo1EKTdrC3BKmOdAKxmQyBFu4kTLkdjBulxxK0M6xxRhoNSQIOojeMIVAAvPtdAZCNxqqvEIESOeU48fnAwDWrNkTtu2eLKkFAGRnq78VjEyujFgWwRBIdbV0rNNSKxhZfiAEUngo9CGQsvI6fPttEQRBwMyZI0K+fjXLzU3D756+CX97+U6MGdMfgwuy8erffoTRo/tHemiqcPsPZyI2NgrfHSnHp5990+Hy/3hzHWpqGpHTJxnXXzc5DCNUr2sXTAIA/PfDzSgJfOadasOGfXjgl2/D7fZi0qQCPPHbGzR/7Yx6Bp1Rj6hM6bzIflyZeyLOcrYmkQk6AVF9pPN+pedb6613iIhCgSEQFWkJgTRGeCQtGhulGzFqCoG0vqEUyRCI3a7eEEjLDdrwVKIApIthAFvBAK3bwYRn/uWwidYrJyTESyetioZAaqTPhySN90q2KtgORg6BaL2yjSAIwc/+xgiFQFgFRHlyZQq32w5Br4fRop05N0Zb4fdL719u06K04Hw7tRe6IZLNnD4cALBmze6wVeEpKZEqgWT3SQ7L9noCue1NeXl9xMZQVSW1g0lN1V4IpKAgUAlEgXYwq1Z9CwAYNSoPaWmsnHAuhg/vhxf/dDv+/sZP0a9vaqSHoxrx8Vb88LYZAIDXXl911nOIoqJKvP/B/wAAi+6Z2+ZhLeq6CRPyMW7cQHg8Prz8yorTfr9y5S78+pF/wev1YfpFw/D0k9/X/EM81LNY+0rV0e3Hlbkn4qxgKKG14Hyf4HwTEfV0DIGoSE+sBKLOdjAtfzZujzdi45BvnFujzBEbg1KCIQSXBz5feFrulLaqBKJ1coshuUKHkvx+f7B1Q7TGb9iGpR1MsBJIrGLb6A3kfU2JcEKwvZEKW3V1VaRCIE2BEEi0VX2fjz2NHH5wu+ywREdr6mlAS4wVHo+0r/k94fmu4gvOdzMgCDBbeVGMtGfylCEwmQw4cbIGhw6XhWWbwUogWdoJgcjtYCJbCUS77WAGDZJCIBWVDairC931HVEU8cUXuwAAl8w+P2TrJQqV+VeNR25uKurr7fj7m2vPuIzX68Mfnv8EPp8fUyYPxsSJBWEepfoIgoC7f3opBEHA2nV7sWdPcfB3q9fsxuNP/Bs+nx+XXjIKix+9jtUWqcex5kj3RFyVDvgcob1W73N64WkIPLyWrp77G91hzY4GdICnwR3yFjx+rx+uauk825LB810iou5iCERF5Jt6PasSiHTjJy5OPV+SdDodDAapxL3HHbkQiPwEuyVKfen71tVNwhFEAICyMuniLkMgrdvBKD/39fXN8Pn8EAQBiQnaLmsfbAdTr2AIpJbtYICWSih1dc0hXzcr27SIWCWQJgbLwsXnlEMJTZqrSmGyRsPjlo7XcpsWpfkD8+1yNcNstULQ8VSOtCfaasakSdINvzVrdodlm3IlkD59tNMOJrMHtIOpktvBaLASSLTVjL45KQAQ0rDT4e/KcKyoEiaTAdOmDQvZeolCxWDQ42d3XQYA+M9/NmPHjqNtfu92e/Hwb97Fjh1HYTIZ8LOfXRaJYarSwIGZmHvZGADAn19aDlEUsWHDPjz2+Afw+0VcPncsHv7V1cHroUQ9iSHaCFOKdP5vPxHah2PlqhTGBDP0FgagAEBnUq4Fj6vaCfhF6KP0MMTyuhoRUXfxyqGKBCuBhPBJke7w+fxoalJfOxgAMBkDIRBvBNvBOOR2MOp70tlsNgafJnYq0K7hTMoCpY4ZAmlpY+FyeeD3K3tjqzrQniQxMVrzFxMS4sNZCURbN2tPlZioXPs0ubKNGlt1dVVLCMQZ1u3KlUBiohkCUZrPLoVh7fZ6mKK1FeQzWa3wuKWAk98VnlCwN/BUm0OD803U2szpIwAAa9buCUtLmGA7mGztVAKRW2TKLTMjobpKqgSSqsFKIACQny9VAyksLAnZOuUqIJMnDWbbPOqxJkzIx5TJg+Hz+XH3PW/glb+thNfrg9PpxgO/fBtffXUAJpMBTz5xI/po6LgcDnfcPhNRUSbs23cCf3juE/zm0ffg8/lxycWj8OAD86BjAJl6MGuOMi1hnBXSOR+rgLSlVAseV6tWMFqqNEpEpBR+e1OR5MBNvZqanhECkQMgABCnshCIMdBvNLKVQKQbjVYV3mgUBCH4FL3DGaYQSBnbwchat7FwKXxjqybwhF9ysrbbkwBSD2QAaKgPfXUKWbASSKLWQyDSzVMlKoFUabh0+amCIRBbmCuByCEQ3txQnNcuVYxy2Oth0VgowRwdDXcgBOJuDs8+7mvW7nwTtTZpUgGiokwoK6vDgQMnFd1WU5MT9YEqbX2ytVMJJCMjAYD0/sNd0Uum5XYwADB4cDYAhGwf9/n8WLXqWwDAxRefH5J1Eill8aPXYe5lYyCKIv759nrc+eO/4ef3vYmtWw8jKsqEP/x+ISZPGhzpYapOSkocvn/j9wAASz/6Gl6vDzNmDMevHprPAAj1eNF9petcjtLmkLbrdLYKJVALpVrwyPNt5nwTEYUEv8GpiNwOprHRAXcEwwky+WJRVJRJdU/4GwPvx+2JXCUQp0O6ERBlVV8IBGh5ij4clUBcLg9qAhUpsjK1c3G3PWZzS3lDp8IhHHneUxgCaWkHo2AlkDq2gwGgbOWsqsoGAEB6WnzI193byK3gbGG+edQkt4NhJRBFiaIYvNjjsNfBHKOt44rBZILHKwWO3E2h7YPcHnm+7fY6zbXfIWrNYjEFb/6tUrgljFwFJCEhWlOfKxaLKRiajUQ1EK/XF/yepsV2MAAwbGhfAMDefSdCUvFm586jqK5pRFxcFCZOyO/2+oiUZLWa8auHrsYTv70BsbFROHDgJL79tgjR0Wa88PwPMHbMgEgPUbVuuP57wePu1AvPw6O/uVZ113RJnYyJZhhijBB9IhyloXngx+fywV0jnfMxBNKWEi14RJ8fzkq58grnm4goFBgCUZHYWEvwi3ldD2gJI9/0UVsrGKBnVAKxByqBRFnUGQKRq1E4nB7FtyVf2LRazcGbllqm0+lgDrSEcbqUnX+5HQwrgQDxcdIJTnOzC14FWk2JooiaQAgkUeMhkMQE6f2H+rPS7/ejUi5dnsoQSFywHUxkKoFER6uvXVpP4nf6AD8gQoTDboNZY5UpBEGA3ycFJb125VseiX4RPof02eCw12sudEN0qhkzpJYwa9fuUbR9YUlJLQAgW0NVQGSZGYGWMKXhD4HU1jbB7xeh1+uCYRStKSjIgl6vQ01NI8or6ru9vhUrdwEApl80HEaj4ewLE/UQ0y8ajrff+hkmTshHdnYSXvzT7Rg+vF+kh6VqUVEm/OXFO/Crh67G449dzwAI9RqCIIS8RUnToXpABIwJUsCE2gp1C56mozaIHj/0VgNMibyeQ0QUCgyBqIhO13KBRImnm7tKvumjtlYwAGA0SidBHgVu1HaWI1AhI0qF7WCA8FYCkS9sZmYmst9ggNyOR+n5r2EIJCg2Niq4/zU0hL4aiN3hhisQ6tF6Oxi5EkhDgx0+X+huHNXXN8Pr9UEQBKSkcJ+WQ6C2RuWq25yJ3I6O7WCU5bVLQVi/6IEo+jQXAgEAP6Q58DiUD6z6AvMtwg+XswlmK5+MIm2bMH4QoqPNqKqyYc+e44pt52QgBNKnT7Ji2+ipMrMCIZAIVAKRW8EkJ8dqtgWB2WzEoEGZAIB9+050a10ulwfr1+8DAFw8+/zuDo0orNLS4vHcH27Fv9+/P9gmiZTVp08y5l42hoEx6nWsgZYw9hNNEP3dq6Il+kQ07Je+B8YP1V4YuDNC2YJHFEU07JUq8MWdlwRBx+vzREShoM2zaRVLDrSEqa3tOSEQNVYCMQVOhDyeyFUCaQmBqDMZK4cQ7CEMIVRVNWDZ8u14dPF7WHTvP7B9xxEALRc2MzMTQ7at3s4SpkogbAfTQq/XITZWummtRAhEbgUTFWWC1arO40Znxcdbpaf4/WJI2+9UBFrBJCfH8okptHz+NzYqXyWhtWY728GEg88ufT54/NL3PS22JxEF6UKX36X890E5dOODB4DISiCkeWazEVMvHAoA+GzZdsW2I7eDyc7S3sX/YCWQsvCHQKrkymop2mwFIxs2NAdA90Mga9fthd3uQmZmIoYP7xuKoREREfU4lnQrdGY9/C4fXJXdq0jadLQBPrsX+igDYgZo+/tIe0LZgsdxsgmeejcEow5xBQmhGSAREYGRXpWRS/z3hBCILXBjTY0hEINcCcQdmUogfr8fzkCblCirSiuBBNrBOJ1dD4E0Njpw+HAZTpysQUlJDUpKanGsqAJFRVVtlvvmm+/ww9tmBJ8az2IIJMgsVwJRuB1PsB0MqyYAkFrC2GyOkAYTZPLnQqLGq4AAgMGgR3x8FOrr7airawpZZZTKSumGRZpGe9efKjZS7WBYCSQs5FCC2yMdr8wx2qsEIodAfGEIgcihG69Pu6EbolNdecU4LP98B1av2Y2775qjSFtHOQSixUog8ns+9RwqHKoClUC0Xllt6NC++M9/t2DvvnOvdiOKIt7911cAgCsuH6fZyipERKR+gk6AtU8Mmo40oPl4IywZ51Y9UapKIVUBiTsvEYKen51nIrfgse2vhf14I6L7nfv3toY9gfkuSIDOxIeqiIhChSEQlZFvZPWEEIj85K8aQyByJRB3hCqBuFxeiKJU1s6q0nYwSYHKEBWd6H/s9fqwbPkO7Nx5FAcOnMSJkzVnXE4QBAwZnI0LLhiEysoGLP98B157fTX0gS/zrATSwhqoMGMPPFGvlJZ2MLxpDgDxCdE4cbIGDQ3dS9CfSW2dNNdyKxStS0yIkUIgtU1A/9Css7KyHgCQlh4fmhX2cnJlm3CHQJqape8f0RqveKM0uT2JyyXdqNNkKEEvfRfze7pXargz5NCNyyN9PmgxdEN0qmHD+mLAgAwcOVKOz1fswHXXTg75NuR2MNnZ2guBFBRIbRcOHjwJv98f1vCA3A4mVePB2mFDpaodhw6Vwu32wmTq+iW8zVsO4ciRclijTLhq3vhQD5GIiKhHsfYNhECO2ZA0Nu2c2oo4TjbDU++CYNAhtoDXis/G2i8Gtv21aC5uRPIEP3TGrn9fdFY54KywAzqpFQwREYUOQyAqk5wsXYCvqW2M8Ehabvoo8URWpBkDiVSPJzKVQBwO6ca8IAgwB9p2qE1uv1QAHT95tuvbY/j9Hz7GsWOVbX6emZmI3Nw0ZGclIjs7GX2ykzF8eF/ExbWkwMeM7o/fP/dxsNoFQyAtEhOlm0tKBspEUWQ7mFPEB/bPhobQ3zSX/y1DVfWit0tMisGxokrU1oUucNNSCYQhECDylUCiWQlEUXIIxGGvBwCYo7UXShAMgQuKXuVDIC2hG+lz02zV3nwTnUoQBFw17wL84blP8NHHW3HtgkkQhND1D3e5PMG2JNnZ2rsgPaB/OkwmAxqbnDh5shZ9+6aEbdvyvKekaPs7VVZWIhISolFf34xDh0oxbFjXW7kseWcDAODKKy9Q5bUZIiKi1qw5sdBH6eGze9Fc3IiYvK4HShv2Sg8XxhYkQG9mVYqzsaRbYYgzwWtzo+lIA+IGd/3aesMeab5j+sfDEK3O+xxERJHCEIjKyGX+63pEJRDppo8aK4EYDdKfjidClUDsDqlFSpTFGNILnT1JXm4aAKCoqPKMv6+vb8Zf/roCy5ZLPcATEqy4ev5EDB2ag8EF2UhI6PjmyKWXjsbgwdn4zaPvoby8HucN6RO6N9DLJQdCGfJTeEpobHTC7Zb+hlidQhIfL4dAlGsHw7mWyEGnurrQfV5WVTUAYAhEFhf4/G9qckIUxbB9XsmVQGKiGQJRkjfQnqS5SXpKXpMhEPkppzBkgk8L3cTwWE4EABfPPh9/+esKFBdXYefOYxg9OkTlvQCUldVBFEVYrWYkduLcQm0MBj3y87Owd+9xHDh4MqwhkMrAd6pUjbeDEQQBw4bmYOP/DmLf/hNdDoHs3Xscu3YVwWDQK1Iph4iIqKcR9AJi8xNR/201bAdquxwCcVU54Cy3AwIQz6oUHRIEAXGDE1G7tQK2A7WILUjo0rUfT4Mb9mLpQYf4YZxvIqJQY0MzlZFv3PaESiA2m3QTU5UhELkSiDsyIRCnHAJRcan73LxACKS4En6/v83vvF4ffnLXq8EAyBWXj8O/3rkXP7xtBiaMz+9UAESWl5eOt9/6GT775CGkpGi73HBr8lzIlTqUUFMjBUxiY6NUW9Gmq1pCIAq0g2EIpA25IkooQyAVlYEQCNvBAGj5/Pf5/Iq3lmqtuVnaVnSMej8jewI5lNDUWA0AsGgwlKAzBU6lROVPqeTQjb25DoA2QzdEZxIdbcHFs88HACz96OuQrvtkoMVkdnaSaoP3HZFD8vv3nwjrdktLpWNdZhYrNQ4NtITZu+94l1/7zrtfAgBmzx6JtDR+PyUiIm2IHZwACICrwgFXrbNLr63f26oqRQyvVXZG7KB4CAYBnno3nGVde6itYZ8031F9omFK5IM8REShxhCIysg3tZRs4dBZaq4EYjJKlUDcEWsHEwiBRJkisv1wyM5KgsGgh9PpCd5YlRUfr0JRURUsFiP+9vKd+OWDVwVvnp8LQRBgsah3Ls9FMFCmaAiErWBOFQyB2JSrBJLIdjAAWuYhlJ+XVZWsBNKa2WyE0SiFJm1hagkjimIwcMJKIMryBkIgjbUVAABztPaOLQaLdFFQJypfIjgYurFJbfK0GLohas+8eRcAANZv2IfaED4MUVIqVTrqk50csnX2NkPkEMiBk2HbpsfjRUVFPQAgW8NzLxs6NAcAsG9f14I4xcer8OVXBwAAN914YcjHRURE1FMZrEZE95OuNdr213b6dfYTTbAXsSpFV+lMesQMlK6D2Q50fr6dFXY0HqoHAMQP53c+IiIlMASiMknJPSkEIiVt41QYAjEGQiDeCIVAWtrBqDe4YDDokZMjfQEsOta2JcyhwlIAQEFBNoYP7xf2sWmBHMyoVjAEIq87mSGQoLg4KQRiU6IdTKDiRXIybxwCLRVR6upCU3XF7/ejMtC/nk9aSgRBCAZBG8MUAnE43PD5pOpR0QyBKEb0ifA7pe9ADbVlAABzjPYqU+ijAiEQwQBRFBXdlhy6sdXJoRvtzTdRe/IHZWHo0Bz4fH58+tn2kK23dSUQrZIrgRw+XAavNzznvuXl9fD7RZjNRobFIQVxdDoB5eX1XWrV+e6/voIoipgyZQhyA61WiYiItCIu0Mql+agNPlfH32F8Di+qNkrXm+OGJMKUxOsJXRE3RJpv+4kmeJo8HS7vd/tQ9WUpIALR/eMQlcHzWyIiJTAEojJJidJFkqYmJ1yujj9wlSQ/9RsXp8YQiPTEp9sTmXYwDof0lLOaK4EAQF7gYtWxorYhkMJDgRBIflbYx6QVcjCjulr5SiDJGu/13VpCghQCqVciBCK3g0nkfAOtKoGEqB1MfX0zvF4fBEFACvfpoHCHQJqbpQCqXq+DxcLSrUrxOgLff3SAo6keAGC2au+ijTHQlk8QdBB9yoVA/B4/RI8UbrLVBEI3DIEQtXHVvPEAgI8/2RoMA3ZXSUmgEkgf7T6Z2KdPMmJjLHC7vThypDws25TnPSsrUbNteFqLtprRPy8dQOergZwsqcGKFTsBsAoIERFpkzktCqYkM0SfGKw20R5RFFG1sQx+pw/GBDMSxzI82VWmBDMsmVZABBoP1nW4fM2WCnibPDDEGJEyMSMMIyQi0iaGQFQmNtYSDCiE6sbWuVJzOxh5jj2RCoHY1d8OBkDwiaXi4qo2P2cIRHlyMKO2tlGxp5ur2Q7mNPEKVgKpC3wmyBUwtE5un1YXos9KuW1VcnIsDAblW0P0FuEPgUghyehoM28cKchnl4LGOkvLqYTJeu5t2XorkzUKoijdbPa7Q3PT+Uzk+RaMOjiapGONFtvvEJ3NjOnDERsbhfLyeuzcdSwk6zxZwkoggiBgcKAayIEwtYQpCc67dsM3p5JbwuztRAjE6/Xhscc/gMfjw9gxAzBiBCtnEhGR9giCEKxO0XiwDqK//WubjYX1cJxsgqAXkDY1CzoDb5mdi+B8H6qH39v++XHTURuajjQAApB6YRZ0Jl5DIyJSCj/RVEYQhJYbWxFsCeP1+mC3SzdiVBkCMUntYNzuyLSDcTgDIRCrNkIgrSuB+P1+HA6EQPILGAJRSnKSFMzweHyw2ZS5eVtTzXYwp4qLl26iNthCGwKx211wBNpIJTIEAgBITJSeoq+tbQpJ0KmyMtAKJjWu2+tSk5YQiDMs22tqkrYTw1YwivIFWpMIgWIrJqsVOr32LtyYoq3wuKV9zq9gi0C5FUzr0I05hsdyotbMZiOmTB4MAPj668PdXp/X60NZmfQUY3aWtsMIckuY/WEKgZwslSqBaDl8c6qhQ/sCAPbtP97hsm/9cz327TuBmBgLfvXQ1UoPjYiIqMeK7h8HnVkPb5MH9uNnrnTsrnehdqvUcjNxTBrbwHSDNScGhhgj/C6fFPI4A2+TBzWbpeqWCSOSYUnX3sMkREThxBCICiUly0/wRy4E0vqJ35gY9X15MhmlEEi4+iKfSr6ZG2VRdwhEbgdTVFQZvEl78mQt7A43zGYj+vVNjeTwVM1kMiA+EEiorul87+muCLaDYQgkKCFeCibYbI6QlTIHWipDmc1GWFVeQaiz5HYwbrcX9sAxtTuqqqQT3LS0+G6vS02CIRCFwmSnagq0g4lmCERRcihBNEjHKa0GEsxWKzwead8WFa0EIodupO9CBrMZeoNBse0R9VbjLxgEANi6tfshkMrKBvh8fphMBqSlaTvgOSTMIZDSQAikTxZDILJhgUogBw6UwOv1obnZic2bC7F+w1643S3VSffuPY4331oHALj/3iuQkZEQieESERH1CDqDDrH5CQCAqi9L0Xys7fVNZ7kd5V8ch+gTEZUdjbjzEiMwSvUQdAJiB0tzWLOl/LQ2PK5qB8pWFMPv9sOcYkHC+byuT0SkNIZAVEiuBFIT0RCIfBPGrMqy+HI7mNYXXMIpGAJR+c3cnJwU6HQCmpqcwcBA4aESAMDAgRmq3Ld6EjmcIc99qNWwHcxp4uKkG+aiKAYrGoSCXBkqKSmGLTICoqJMwWNoKCpnVVQwBHImcbFSGMMWrnYwgb+b6BhzWLanVb5m6fuPH1KbErM1OpLDiRiT1QqPW9q3/QpWhwuGbvSB0E20Nue7N3juuecwbtw4xMbGIi0tDfPmzUNhYWGbZURRxOLFi5GVlYWoqChMmzYN+/bta7OMy+XC3XffjZSUFERHR+OKK67AyZNtb8DX1dXh5ptvRnx8POLj43HzzTejvr5e6bfYo40bNxAAcPi7sm5/f5VbwWRmJkKn0/ZlE7kSSFFRZbDap5JKSuRKINquwNJa374piI2xwOXyYOGtL+LiS3+L+37xFn718Lu4esHv8faSDaiqasBjv/0APp8fs2eNxOzZ50d62ERERBGXMDIFUdnREH0iKteXoG5nFUS/iLpdVShbUQyf3QtjnAkpUzJ5vSwE4s9LRHRuLOAHqv9XhpqvKyD6RTTsq0XpsiJ4Gz3QRxuQOjUbgo7zTUSkNG1fzVCppGQpBFJbq8yN286QK4GosRUMABgDlUA8nsiEQOx2OQSi7ptcJpMB2YEnwIoCLWEOBVrBFOSzFYzS5BBIdbUyx5LqYCUQbT9d2ZrRaIDVKv1dNzSEriWMXBlKDgmSJDFBupFaV9f9EEiwEkgqQyCttbSDCVMIJHBziu1glOW1S+EPryjNtzlGm6EEc3Q03IFKIH6PgpVAmqX59guB0E00j+U91f/+9z/89Kc/xZYtW7Bq1Sp4vV7Mnj0bzc3NwWWeffZZPP/883jppZewbds2ZGRkYNasWWhsbPm+tWjRIixduhTvvfceNm7ciKamJsydOxc+X0vY6MYbb8SuXbuwYsUKrFixArt27cLNN98c1vfb0yQmxgTPEbZu+65b65KDCH0YREBKShxSU+Pg94soDJyLKUUUxWAlELaDaaHT6TBseD8AUqtUv19EdnYSUlPjUFPTiJdf+QLz5j+LkpJapKfF4757r4jwiImIiHoGnVGH9Jk5iBsqfa+o31WNEx98h/qd1YAIxAyMR9YVeTBYjREeqToIeh1Sp2UjYVQKAMC2vxYnPvhOarnjB6x9Y5F9ZX8Y49T9YCsRUU/BOsIqJN/k6wntYNQbAglUAlGw//vZOJ1SCMRqVf8Xpty8NJw4WYOi4iqMHTsQhYWBEEhBdoRHpn4pCoZAHA538EnC5BRWAmktId4Ku92FhoZmACkhWafcDiYxiTcOW0tMikFpWV1IPi8rKgMhkHSGQFoLdwikKVgJhCEQJcntSdxe6ca2VkMJrSuB+FwKVgJxSPOt9dBNb/Dhhx8iLq4l3PqPf/wDaWlp2L59Oy688EKIoogXXngBDz/8MObPnw8AeOutt5Ceno53330Xd955JxoaGvDGG2/g7bffxsyZMwEAS5YsQU5ODlavXo2LL74YBw4cwIoVK7BlyxaMHz8eAPDaa69h4sSJKCwsREFBQfjffA8xfvwgFB4qxddbD+PSS0ad83pOnpQqgTCIIDlvSB9sqNqPAwdOYtT5eYptp6amEU6nBzqdwFYmp7j7rksxaGAG+uelY9SoPKSmxsPj8WLV6t14550vcayoEoIg4De/XqDa6zBERETnQtAJSL4gHaZEM6o3lcHn8EIwCEiemInYgbyGE2qCICDx/FSYEsyo+qpUmm+9gKRxaYgdnMiKK0REYcQQiAolJUU+BGKzSU+wq/XigxwC8UaqEohG2sEAQF5uGr766gCOHauEKLY8fZbPSiCKa2kHY+tgya6TS3RHRZkQbVV3RZuuiou3orSsTpFKIMkMgbSRGAhNhqQSSCUrgZxJ2CuBNEshEFYCUVYwBOKW/nYsGm1PIoVApGO1R8EWCXL7HbdX2pZFo6Gb3qihQfpsSEqSggTHjh1DeXk5Zs+eHVzGbDZj6tSp2LRpE+68805s374dHo+nzTJZWVkYNmwYNm3ahIsvvhibN29GfHx8MAACABMmTEB8fDw2bdp0xhCIy+WCy9Wyn9ps0vc7j8cDj8cT2jceQaNH5+Gfb2/Atm2H4XK5zqmVi93hwuo1uwEAffsm9/j5kcen5Djz8zOx4cv92LfvuKLbKT4uVX+U2uuJPX7uwyk7KxE/vG168H/LczNr5nDMmD4U27cfhclkwPDhOZqZt3Ds+0Q9Ffd/0rJz3f8tudFIje4DR3EjovPjYYwz8W9IQabsKKRe3Af2IzZYB8TBlGiG1xuZeylqEq7jP/82iNSBIRAVSk6Sbtz2hHYwcaoNgUh/OpGqBOJwSBdwLRb1h0D69UsDILWDKS+vR2OjAwaDHv3z0iI8MvVLSZGeZO1uT/UzqQ4ES+SgCbWIj7MCABpsCrSDYQikjWDlrG6GQPx+PyqrpH06NY3tjVqLWCWQaIbLlOQNhECcTmm/N2k1BGKJgscj7XNeJUMgjrahG63Od28jiiLuvfdeTJkyBcOGDQMAlJeXAwDS09PbLJueno7i4uLgMiaTCYmJiactI7++vLwcaWmnfxdOS0sLLnOqp59+Go899thpP1+5ciWsVmsX313P5fP5YTLqUFfXjLfe+i/S07v+97J2XTGqqmyIjzfD7yvD8uXLFRhp6K1atUqxddtsUqBpx87vFJ2PPXurAABmk7/XzHtPU1KyP9JDCDsl932ino77P2lZt/b/ytCNgzqB8x1ySh//7fbQXZcmoshhCESFEntCJRC5HUycOkMgJpP0p+NxRya96rAH2sFopBIIABQVV6LwUAkAYED/9GAQh5STEqwEEvoQSE2gxQxDIKeLT5BuVjTUhzIEIs23HHogSWKiNNd1dc3dWk99fTO8Xh8EQUBqCkMgrYW9EkjgRnw0K4FAFEVFyqz63T6IXj8AwG6vA6DdyhSCTgefX3o6xutQ5ikZURThtUvrlkM3ZoZAeoW77roLu3fvxsaNG0/73al/m535ez11mTMtf7b1PPTQQ7j33nuD/9tmsyEnJwezZ89u08JGDTZtsWHTpkKYzBmYM+d7XXrt4e/K8IfntgEAfvXLazBhQr4SQwwpj8eDVatWYdasWTAaleln39TkxPsfPI2GBhcmTZqKhARljkNl5WsBHMWIEYMwZ84cRbZB6hGOfZ+op+L+T1rG/Z+0LFz7v1w5koh6N95FVSG5EkhNBEMgjY3SU5HqrQQitYPxeCNUCcQZaAejgTYa/fqlApBu0m7d+h0AIL+ArWDCQQ5oVFUrUQlEWmcKQyCniQ+E50JaCSRQ6SKRlUDaCFX7tMrKQGWbpBgYDPpuj0tN5O8BjU1hCoEEKoHExGg3BNKwrwa2/XWIHZyIhOHJIV+/XAVEZ9LBGdj3zTHaDSX4Ic2Hz6lMCMTv8gFS5kbzoZve5O6778Ynn3yCL7/8En369An+PCMjA4BUySMzMzP488rKymB1kIyMDLjdbtTV1bWpBlJZWYlJkyYFl6moqDhtu1VVVadVGZGZzWaYzaefOxiNRtVdPJ8wPh+bNhXim+1HcevC6R2/IMDv9+OPf1wGn9+Pi6YNw/e+N1TBUYaekv+WiYlG9O2bguPHq3H4uwpMmnh6y6FQKC+vBwDk5KSqbr8k5ajxOEbUWdz/Scu4/5OWKb3/82+LSB263iCXejz5ppbd7oIzEBYIN1ujdPMyVu0hEE+EKoE4AiEQDVQCiYoyISMjAQCwZu0eAEBBPkMg4ZCc0lIJRBTFkK5bri7CSiCni48PtINpYDsYpSUGKqPU1XcvBFJRKZVIl/rXU2stlUCcIT+OnIkcMJP/jrRI9APeJg9c1coEb3yBEIg+yoCmmhoAQFR8giLb6g18kL6T+RzKBIO9zYHQjUWPpppqAEBUAo81PZUoirjrrrvw4YcfYu3atcjLy2vz+7y8PGRkZLQp3et2u7Fhw4ZgwGPMmDEwGo1tlikrK8PevXuDy0ycOBENDQ3YunVrcJmvv/4aDQ0NwWW0bPwFgwAAu3cXw96FVk2ffLIN+/afgNVqxqJ7LlNqeL3WeUNyAEjzqpSSkloAQFZWYgdLEhEREREREdHZMASiQtHR5mC7kki1hJHLvqs3BCK3g4lQJRA5BGJRfwgEaGkJI+9XBfnZkRyOZshVOlwuD5qbO38BvTMYAmlffHygHUxD91qUtFYnh0ASOd+tye1xuvtZWVXFEEh74gKVbXw+f5duxJ0LURRRXFwFoKWKlBaZU6QqKO5qpyLrlyuB6KONqC4uAgCk9OunyLZ6A4enHgAg2gVFgk5y6MZgNbTMd1/tzndPd99992HJkiV49913ERsbi/LycpSXl8PhkL7DCoKARYsW4amnnsLSpUuxd+9e3HrrrbBarbjxxhsBAPHx8fjhD3+I++67D2vWrMHOnTtx0003Yfjw4Zg5cyYAYMiQIbjkkktwxx13YMuWLdiyZQvuuOMOzJ07FwUFylRo6E369ElGZmYivF4fdu481qnXVFfb8PIrXwAA/u+OWUhN5Wf6qcaNHQAA2LylULFtlJRK4cLs7NBXsiIiIiIiIiLSEoZAVEgQhJCVuD9Xag+BmAIhEHfEKoFIN9K0UAkEAHIDIRAA0Ot1GDgwI4Kj0Q6LxYToaKlseHVNaPsAsh1M+4KVQELUDsbpdMMeCI6xEkhbiYlS4KaurnuBm4oKKQSSmhrX7TGpjdlsDFbPsjUq2xKmpqYRTU1O6HQCcvqkKLqtnsycLIVAvE0e+Jyh/57is0ttT3RmAfVlZQCAlNzckG+nt/CKdni9bgh+HTy20Ffg8wbmW281oKZIevo+JTfvbC+hCHrjjTfQ0NCAadOmITMzM/jf+++/H1zmgQcewKJFi/CTn/wEY8eORUlJCVauXInY2JbvRH/84x8xb948XHvttZg8eTKsVis+/fRT6PUtLcfeeecdDB8+HLNnz8bs2bMxYsQIvP3222F9vz2VIAjBaiBfbzvc4fLffVeGH/34b2hscqIgPwtXz5+g9BB7pQkT8iEIAg4fLgsGYEOpudmJ+nrp+2+f7KSQr5+IiIiIiIhISxgCUankJOkiYm1dpEIg0tOn8hPAamM0SRdgvZ5IVQKRbghEWbUXAunXLxVmM3vShUtKinRTW67cESrBSiApDIGcKj4uEAKpD00IRA4DmkyGYKiHJEmBz8rGRke32nvJN0LS0xJCMSxVEQShVUsYZUMgRUWVAIA+2cnBimhapDPpYYyXvh+4FKgGIlemcHuaAVFEVFwcrAnaLdtvskahruY4AGWqr8jz7Re8cDvs0On1SOzTJ+TbodBoaGiAKIqn/XfrrbcGlxEEAYsXL0ZZWRmcTic2bNiAYcOGtVmPxWLBiy++iJqaGtjtdnz66afIyclps0xSUhKWLFkCm80Gm82GJUuWICEhIQzvsneQQyBffXUAX6zchd27i1FZ2QC/399mubXr9uD/fvQKSsvqkJWVhMcWXw+9npdJziQxMQbnDZGOP5s2Hwr5+k8GWsEkJFgRHW0J+fqJiIiIiIiItES7V8hVLlGuBBLiG7edpfZKIEZD5CqB+Hx+uFxSCMQapY0buq1DIAX5WREcifYkJ8eiuLgKNdUKhUBYCeQ08QmhrQQih0CSkmIgCEJI1qkWsbEW6PU6+Hx+1Nc3n3Pp94rKQCWQNFYCOZPY2CjU1jYpHgI5FgiBtP7M0CpTsgWeBjdc1Q4Y00P7XUFuB9PcJN2sS8nN0/SxxRwdjdrqIqSmD4Sr2oGYAaFtISGHQBxO6TiT1CcHegNP4Yg6MmbMABgMelRU1OOxxz8I/txiMSIvLx15eWnQ63X49NNvAADjxg3Ebx+7HnGBMC6d2aRJBdi3/wQ2bT6IK68YF9J1l5QEWsFksRUMERERERERUXfxEReVSpZDIBGqBGIL3LxUbQgkUAnEE4FKIE5nS6lxi0UbFTFy+6UG//98hkDCSm7XUh3CEIjH40VDgz2wft40P1WwEkiDHaIodnt9NXIIJJGtYE6l0+mQmCC1hOlO+7SqSlYCOZtwVwLJzU3tYEn1M6dIc65kZYqGmlIA2m4FAwAmqxU11UUAlKm8IodumhqqAHC+iTorJsaC3z52PeZcOhqjR+UhMzMRer0OTqcHBw6cxPLlO4IBkBuun4Lnfr+QAZBOmDSxAADwzTdHgg8mhEpJoBJINlvBEBEREREREXUbHyNTqaRACKSmJvwhEI/HC6dTuiAUp9IQiMkYqATiDn8lELtDCoHo9TrNlLuPjY1CRkYCysvrcd55OR2/gEJGrtRRHcKqQvJxyWjUq7ZlVHfEx0s3IHw+P5qbXYiJ6V457Lpa6d9O/lygthITY1Bd04i6uuZzer3f70dVtQ0AK4G0pyUEEvob5K0VFUk3yVkJBDAlK9cOxmuXvuPVlBUDAFL65YZ8G72JyWpFbfUxAIC7xgnRL0LQha4yii8w3/VVJwEAyQyBEHXa1KlDMXXq0OD/9np9KCmtxdGjFTh6tAJlZXWYPHkwLpo27Cxrodby87OQkhyL6ppG7Nx1DBPG54ds3QyBEBEREREREYWONu4ga5D8xHddBCqByE/6CoKg2l6+BqNUCcTrjUAlkEAIJCrKpKny64sfuQ7HiioxfFjfSA9FU+QQSE2NLWTrlFvBJCXFamof7iyLxQSz2QiXy4P6huZuh0DkilCJDIGcUWI3K2fV1zfD4/FBEASkpjAEciZyCKS+/tyCNp0lt4PJ03gIpOZ4MT78zSOYOe1B+BzeYOWOUBBFMbi+iqJCAKxMYbZGw9ZQAZ/fAz2M8NS7YEoK3fdfuRJI1YmjAIBUjc83UXcYDHr065uKfn1TGfw4R4IgYOKkAnz66TfYtLkwtCGQ0kA7mGy2gyEiIiIiIiLqLraDUakk+cZtbeie3u8sWyAEEhNthl6vzl2sJ1QCiYoyhX3bkTRiRL+Q952mjqUEbmrXhLASiFxVRG41Q6fLzEwAAPz972u73RKmlu1gzioxUWoHc66hycpKKSCVnBQDg0EfsnGpSXZWIgDgrbfW4cuv9iuyjfr6ZtTXN0MQBPTrp+12MOv+9goqjx5GfV0JAKk6Raj4nT4gcEgqPyqHQPJCtv7eKD4zE4CI6goppOGsDl3bI9EnSnMOoOyI9Lej9fkmosibNHEwAGDTpsKQtC6UBSuBZLESCBEREREREVF3qfMOPQVv9hUXV6Eo8GRsuMjl3mNV2goGkNpYAFK7Br/fH7bt+v1+fBW4gRZl0VYIhCIjRZF2MIGb5gyBtOtnd18GvV6HFV/sxD/eXNvl19fWNuKLlbvwxJP/wapV3wJgO5j2yJ+XclimqyoqGwAAqWnxIRuT2lx/3RSMHt0fdocbv3xoCd58a11IbxoBQFGx9F0nIyMBFo1/Pl7+8K8xaMoU1FQVAQAOrdoEMUTfVeSqFIIJ8Hs9MFmtiE3VduhmyEXTMfziS1ATaAlzeNVm+DyekKzb5wiEjXWAraYcgk6HpBxWRCOiyBo3dgCMRj1KS2tRfLwqJOv0eLyoDHynYjsYIiIiIiIiou5jCESlCgqykJGRAJvNgdtu/ws+X7EzbNu22ewA1B0CMZlaOil5POFpCVNWXoefLfo7/v4P6YbwhReeF5btkrYlpwRCINWhDIFI62IIpH0Txufjvp9fDgB4/Y01WPGFdAz3en1Yt34vfvnQEvz6N+9iyTtf4pvtR1Bb14RvvvkOf/nrCiz8wYuYe8XTeOzxD7D88x1obHIiNsaC0aP7R/It9ViJwfZpXW9V0tzsxOrVUsgmnSGQdsXGRuGF53+Aq+dPAAC8+toq/Po3/8Lu3cWntVXzen04crQctV2sZFZ0TAqB5Gq8FQwgtSdZ8OTvkDAgHQDgqmxG8Yf/wfFdO+F1u9ss6/f5UHXsGGxVnbuJ57NL4QYfpPWk9MvVfFsvvcGAyx/+DbJGFwAAxGbgnUU/w9GtX8PjcrVZVvT7UXO8GA3lZZ1atzcw3zBIIZ6EzEwYzebQDZ6I6BxYrWacf75UlWjTpsKQrLO8vB5+vwiLxchzBCIiIiIiIqIQMHS8SGSVlJTgwQcfxOeffw6Hw4H8/Hy88cYbGDNmDACpN/ljjz2GV199FXV1dRg/fjz+8pe/YOjQocF1uFwu3H///fjXv/4Fh8OBGTNm4K9//Sv69OkTqbelOIvFhNdf/TEWP/YBvtl+BL994t/YufMoZs0cCZvNDlujA42NDths8v+1w2DUY+HN0zBwYGa3tt0YaAej5hBI65L/Ho8PZrMx5NvweLwoK6tHSUkNDn9Xhn++vQF2uwsWixF33zUH8668IOTbJDqVXAnEbnfB4XCHpA2RHChJSeEF3rOZN288Skpr8c67X+Hp332I/QdOYv26vW2qsqxdt7fd1+fnZ+GCcQNxwQWDMGJ4vzbhNWpxLu1gRFHE2rV78Kc/Lwv+ezCYd3YGgx733XsFBgzIwHPPf4J16/di3fq9iI42Y8zoAUhNjUPhoVIcOlQKt9uLpKQYfPDefbBaO3fD+1ig6lkeQyAAAEGnw/ArZ6H0syIkp+ahaeUxvHfvIhgtFvQ9fxQSs7NR8d1hlB86BI/DAXN0NH707vuISTr709dyJRCXW/p7ScnNVfqt9AqCIGDYlTNx8j9HkJiUg5Jl+/Cv+34OvcmEviNHIiU3D5VHvkN5YSFczc0wmEy4460lSOrgXMQXmG+PT6qyx1YwRNRTTJpYgG3bvsOmTQdx4w3f6/b65FYwWVlJmg8XEhEREREREYVCj74jVFdXh8mTJ+Oiiy7C559/jrS0NBw5cgQJCQnBZZ599lk8//zzePPNN5Gfn48nnngCs2bNQmFhIWJjpRuMixYtwqeffor33nsPycnJuO+++zB37lxs374der2+na33fklJsfjj8z/AW/9chzf+vhafLduOz5ZtP+trvvrqAO79+eW4fO7Yc774IodA4uLUGwKR28EAgNvjhd/vR1WVDXq9DsnJsR3Ond3uQm1dE1JT4toESMrK67B27R6sWbMHhw6Xwu9vWy5/xPB++PWvr0Gf7OTQviGidlitZlgsRjidHtTUNKJPn+7ve9WsBNJpP/7RxSgprcX69fvwn/9sBiCFFuZeNhYxMRYcPFiCAwdPory8HinJsbjggkG4YNxAjB03MNjmhM4u2A7mDCEQn8+P5mYnbDYHKirrUVJSi5KSWuzZW4xdu4oAADl9knH/fVdi3LiB4Rx2rzXvygswcEAG3nt/I77ZfgQ2mwNfBtqctVZb24TPP9+Bq6+e2Kn1FhVLlSxy+2m7NUlrpiQzoAPM5hhknD8BtuJC2OvqcGTL5tOWdTU3Y+fHH+F7P7it3fWJoojmIun43WST5puhhBaGGCN0Zj3gAsbOvQ4HNq9EY1UVjm3bhmPbtrVZ1ut245v//huz7/n5Wdcpz7fdUQeAoRsi6jkmTxqMP/15Gb7dXYymJidiYizdWl9JSQ0AtoIhIiIiIiIiCpUeHQJ55plnkJOTg3/84x/Bn+W2uvgpiiJeeOEFPPzww5g/fz4A4K233kJ6ejreffdd3HnnnWhoaMAbb7yBt99+GzNnzgQALFmyBDk5OVi9ejUuvvjisL6ncNPrdbjtBzMwYkQuXnnlC7jcXsTGWhAXa0VsbBTi4qKC//d//zuIzVsO4XfPLMWOncfwwP1XdvoJXED691i16lu89c/1AID4+GiF3lXk6XQ6GAx6eL0+/N+dr6CqqiHYFsZiMSIrKwnZ2Ult5s/n9aO8Qqrs0brtQEpKHLKzk+D1+LBv/4k227FYjMjOTkZ2VhLGjRuIeVdeAL2eXZwofARBQHJyLEpKalFdY+t2CKSurgl79hQDALIyE0MxRFXT6XR49DfXQsC/0dTsxOVzx2LqhefBaGz78W23uxAVZeKTk+fg1HYwDocbT//uQ2z5+hCampztvs5kMuDmm6bipu9fqEg1KDUbNqwvnhh2I3w+Pw4dLsXWrd+hocGOgoIsDB6cja+/PowX/vQZ/v3fzbjqqvHQ6Tr+3CsqYjuYUwl6HUyJFrhrnBjwvcsw6Q9Po+7EcRz9+ms01dQgfdAgZA4ejPJDh/DJE49j+0dLMemmm6E3nnl/th9vgrO0GYJewKEDUmu6lH65YXxHPZsgCDAnW+Aobcb4y2/EzPt/guqiIhzbthX1ZaVIGzAQmYOHoLGqEu8/cD++Xb4MU2//P5ijz/x92VluR/MxGyAAx45tBMD5JqKeo0+fZPTtm4Ljx6vx1Vf7cemlo7u1viNHKwAA2Vl82IGIiIiIiIgoFHp0COSTTz7BxRdfjAULFmDDhg3Izs7GT37yE9xxxx0AgGPHjqG8vByzZ88OvsZsNmPq1KnYtGkT7rzzTmzfvh0ej6fNMllZWRg2bBg2bdrUbgjE5XLB1aqPt81mAwB4PB54PB4l3q6iRo7oi5f/esdZl7lszii89/4mvP76GqxcuQu7dh3D2DH9MXhwNgoKspCVmdjuDcaqahteemkFtu84CgDIyUnGlVeM7XFzJY8nFONKTo5BRUUDSkul0rV6vQ6iKMLp9ODo0QocDVzIao/JaIDb40V1tQ3V1dL+JQgCRo7shxkXDcPEiQVISWlbVcTv98Hv93V77KRN57r/yyGQior6bv/tvPb6KjQ1OZE/KBPDh+f0uGNET6TTAYsfXdDqJ+Jp82Y06uD1esM7sF6mvf0/Nk4K69XVNaG2zoaHHnoXe/Yeb7NMlMWE5JRYZGUlIjsrCVlZiZgyeTCyspLOuE7qvIED0jFwQHqbn108ewRee30Vjh+vxubNhbjggrNXWWlqcqKqSvoczc5O5L9HK8YkE9w1TkT5LPD6fEjql4ukU4IEsekZiE5ORnNNDfauWYXzZsw6bT2iz4+areUAgOiCOJx8czcAIKFPH853K4YkE1DaDEdlM6IGxCChTx+MOqXlS2Lfvkjq2xe1x49j52efYsz8q09bj+gXUb2lDAAQPTAOxR9+A4DzfS5C+d2/M9sh0pJLLh6FV19bhX//dzMuuWTUOYeRnU431qyRPlcuYGU1IiIiIiIiopDo0SGQo0eP4uWXX8a9996LX/3qV9i6dSt+9rOfwWw245ZbbkF5uXQxOj297c2D9PR0FBdLT5qXl5fDZDIhMTHxtGXk15/J008/jccee+y0n69cuRJWq7W7b63HSogHrr9uMD7+9DAqKxuw/POdWP75zk6/3mAQMHFCNi4Yl4kDB77BgQMKDrYbVq1a1e11XHZpX5SWNSE+zoyEBDPi4swQRRENDS7U1bvQ0OCC1+sPLi8IQEyMCYkJFiQkmGE26+FweFFf70J9vRNenx/98xIQE2MCUIVt26q6PUaiM+nq/u92SeXov/rqazgdxztYun3V1XZ8/MkeAMCY0QlYsWLFOa+L6Fyduv/Lx2mfz49bf/AnVFc7YDbrceXlA5GWFg2LRX+GCkz12LVrC3btCs+YtWjI4ER8s70cL//tU1RXF5x12dJSqZVPTIwRX365NhzD6zUSXXHIQQasXstZj/3Rg89D8/++wpq/v4Ei1+k3s1MdSch0pMAteLBh/2r4PG4IBgP+t2MHBP4hBMW5o5GLbNQUVWNLXfstGM35g4Hjx/HVO2+j3Gw57cZpkjMefezp8Ao+bDqxCc11UuD4m4MHoT96TNH3oFah+O5/Nna7XdH1E/VEV14xDm++tQ4HD5Zg374TGDas7zmtZ83aPWhsciIzM7HD4CcRERERERERdU6PDoH4/X6MHTsWTz31FABg1KhR2LdvH15++WXccsstweVOvXAqimKHT6F0tMxDDz2Ee++9N/i/bTYbcnJyMHv2bMTFxZ3L2+lVbrrJhe07juLgwRIUFpai8FApbDbHWV8zcUI+7r7r0h7dx9fj8WDVqlWYNWsWjO2UOydSq3Pd/48c/RwHC7cgPT0Hc+bM7vgF7Xjwl0sgisCUKYPxox9df87rIToXZ9v///baHjQ1OVFd7UB8vBV/+P0tyB+UGaGREgCMGFmDm25+EUeP1mP48AuQk5PS7rJSWHUfCgpyMGfOnPANshdw17lQuewEorxmzJw5EyaT6YzLNU+ciFe2boGjrAzn5+Uia8h5wd95m72o+KQYIkRkTOoDX2ktCgGk5ubhsrlzw/ROegef3YuyD4sQ5TfjktmXQGc4cysj90XT8PLmTXDV1WFwcjIGTJgQ/J3f5UP5J8Xww4+UMekY6XVjH4C4tHRcPu+q8LwRFQnXd3+5aiSRliQmxmDmzBFYvnwH/v2fTeccAvno460ApFBJZ1rAEREREREREVHHenQIJDMzE+edd16bnw0ZMgT//e9/AQAZGRkApGofmZktN2sqKyuD1UEyMjLgdrtRV1fXphpIZWUlJk2a1O62zWYzzGbzaT83Go2aCA/Exxsx/aIRmH7RCABSaMbn87e7vCAIZ3hSuufSyr8j0Zl0df9PTY0HANTV2c/57+brrYex5evDMBj0uPunc/j3RxFzpv0/KSkGTU1OpCTH4k8v3Ia8vPR2Xk3hkpebgUkTC/C/TQfx0Sff4N5Fl7e77IkTNQCA/nnpPLacwpBigKAXoPfp4St3wxsF+D1++JxeeG0eeBrd8Da6IRh0uPCKn+DrFUuw86Ol6DdiJADp+1/dt5UQfSLMaVGIG5SIfVulilCpeXmc71MY4gzQR+nhc/jgPumAIdoIv8cPv8snzbXNDU+jB4IOmHbVXdj0yd+x86MPMfh73wMgzXfNNzXwu/wwJpiRMDQFRZ9tAgCk5OZyvrtB6e/+/LchrVpw9UQsX74Da9ftxV132ZCa0rUHZg4fLsO+fSeg1+sw97IxCo2SiIiIiIiISHt6dAhk8uTJKCwsbPOzQ4cOoV+/fgCAvLw8ZGRkYNWqVRg1ahQAwO12Y8OGDXjmmWcAAGPGjIHRaMSqVatw7bXXAgDKysqwd+9ePPvss2F8N72bIAgwGPSRHgYRRUBKciwAoKam8Zxe7/X68OcXlwEArr56wlmf6CeKhOuvnYz1X+7H/fdegT59kiM9HApYsGAi/rfpIJYv244775iF6GjLGZcrKq4EAOTmpoVzeL2CoBNgTDLDXeVEzZftt0EEgMz4EZh33bOoqT6GkuVHILoEeJvcEL0iACB5QgYEQUB1oOViSm6u0sPvdQRBgDklCvYTTajeWHbWZZNNg3D5NU+jruY4TnxaCJ3fCE+jB6JHCl0nj0+HoBNQXVwEgPNNRD1TQUE2Ro7oh293F+Ojj77GHbfP6tLr5SogUy88D0lJsUoMkYiIiIiIiEiTenQI5Oc//zkmTZqEp556Ctdeey22bt2KV199Fa+++ioA6ULrokWL8NRTT2HQoEEYNGgQnnrqKVitVtx4440AgPj4ePzwhz/Efffdh+TkZCQlJeH+++/H8OHDMXPmzEi+PSKiXiEl8ERfdU3XS527XB688upKHDtWibi4KPxg4fRQD4+o2+bNG49588ZHehh0inFjByI3NxVFRVVYtnwHrl1w5gpuRccYAjmbmPx4VFQ3wWK1QGfUQ2fUQWfWwRhrgiHWBGOcEd4mD5qLGuEoa0JySh7cFe6WFQhA4qhUmJOlEE510TEAQEpuXiTeTo8XW5AAV60TAKS5NuqgM+mluY41whBngt/pRfOxRthLGpGY3Bfeaj8AV3Ad8cOSEJUVDQCoLioCwPkmop5rwTWTpBDIx1ux8JaLYDJ17jKT3e7CFyt3AQDmXXmBgiMkIiIiIiIi0p4eHQIZN24cli5dioceegiPP/448vLy8MILL+D73/9+cJkHHngADocDP/nJT1BXV4fx48dj5cqViI1teYrkj3/8IwwGA6699lo4HA7MmDEDb775JvR6VrYgIupIcqtKIF6vDwcOlmD79iPQ6QQMHpyNwQV9EBcXddrrtm37Dn947mOcOCm1avi/O2adcTkiojMRBAELrpmE3//hY/z9H2swYng/DB6c3WYZp9ONsvJ6AEAeQyBnZM2LxYEDRzFnztlbccUNScKB1evx7b8+h9EchTHXXYXs84fAEGOEoBcAAKLfH6wEksrKFGdkzYlF35yOn2aPzU/Esa+/weZX3oPJEo2R8+ag34TzYYg2QmdoabEoh0BSGQIhoh7qwgvPQ1paPCorG7Bm7R5cesmoTr1u1erdsNtdyOmTjNGj+ys8SiIiIiIiIiJt6dEhEACYO3cu5s6d2+7vBUHA4sWLsXjx4naXsVgsePHFF/Hiiy8qMEIiInVLSZFuZtlsDsyZ+ySampynLdOnTzIy0hMQGxuFuLgo1NU148uv9kuvT47Fz352GWZMHx7WcRNR7zfn0tFYvnwH9u0/gbvveR3P/f5WjBjRL/j74uPVEEURCQlWJCRER3Ck6lAwbQp2Ll+Kg9u+wneF63HNU7/DgPETgr+3VVXC43BAZzAgMSv7LGuizsi9YAx2LvsIB9atwuEDa3HlI4tx3vQZwd+77M2wVVYAAJJz+7W3GiKiiDIY9Jh/1Xi88reV+OCD/2H6RcNgNrcfOpR9HGgFc+UVF0Cn03WwNBERERERERF1RY8PgRARUWTFxkYhNsaCxiYnmpqciI2NwtgxA6DTCzh4sAQlJbU4ebIGJwMVP2Q6nYCr50/A/90xC9HRlgiNnoh6M7PZiBdeuA2/eOAt7NpVhEX3/h3P/u5mjB07EKIoorCwBABbwYSKzmDAtU8/i/8+8mt8t+l/+OCXD+Cqx36LwRdOhSiKKCssBAAk5+RAZ+BpRHcJgoB5jyyG3mjE3pVf4KPHHoXH6cTIOZcBACoOHQIARCclIyo2LpJDJSI6qysuH4e//2MtCg+VYv41z+LaBZMx/6rxiI2NQmOjA/sPnMT+/SdQVWWDzWZHfX0zDhaWwGjUY86c0ZEePhEREREREZHq8OotERGdlSAIePKJG3GwsBSjR+WhoCAben3L03o2mx2HDpWitrYJtkYHGhsdcLk8uGjaMBQU8ElxIuqeaKsZz//hVjz0q3fw9dbDuP+Bf6JvTgpKSmvhcLgBALn9GAIJFYPZjGuefBof//YxHFi7Bh8+8muk9e+P+tJSuJqbAQDJ/XIjO0gV0RkMuOLh38BosWDnJx/js6efxLb/fICGsnI4mxoBACmsAkJEPVxCQjQee/Q6/OnFZSgvr8ffXl2Jt99ej7T0eBQVVbX7utmzzmclLyIiIiIiIiIFMARCREQdGjt2IMaOHXjG38XFWdv9HRFRKFgsJjzzu5vxyKPv4cuv9uO7I+UApJBadnYS5lzKp4hDSW8wYN4ji2E0m7H78+WoOHw4+Lv4jAyMuuLKCI5OfQSdDpfe/wCMZgu2/vv9NvMdm5qKsVddHcHRERF1ztSpQzF58mCsXrMb77z7FY4cKQ8GQLKzkzB0aF/0yU5CXJwV8fFWJCZGY+SI3MgOmoiIiIiIiEilGAIhIiIioh7PZDLgid/egG++OQK/KCI7OwmZGYkwmfh1Vgk6vR5zf/krDJt9MTwuFxKzspGQlQWj2RzpoamSIAiYeffPUHDhhXA0NiIxOxsJmVkwRUVFemhERJ1mMOhxycWjcPHs87Fz5zE4HG6cd14fJCbGRHpoRERERERERJrCq+ZERERE1CsYDHpMmJAf6WFohqDTIW/suEgPQzMEQUDf80dFehhERN0mCAJGj+4f6WEQERERERERaZYu0gMgIiIiIiIiIiIiIiIiIiIiou5jCISIiIiIiIiIiIiIiIiIiIhIBRgCISIiIiIiIiIiIiIiIiIiIlIBhkCIiIiIiIiIiIiIiIiIiIiIVIAhECIiIiIiIiIiIiIiIiIiIiIVYAiEiIiIiIiIiIiIiIiIiIiISAUYAiEiIiIiIiIiIiIiIiIiIiJSAUOkB9BbiKIIALDZbBEeCXWHx+OB3W6HzWaD0WiM9HCIwor7P2kZ93/SKu77pGXh2v/lc0T5nLE34PmtevA4T1rFfZ+0jPs/aRn3f9IynuMSUVcwBNJJjY2NAICcnJwIj4SIiIiIiIh6msbGRsTHx0d6GJ3C81siIiIiIiI6m950jktEpxNERrk6xe/3o7S0FLGxsRAEIdLDoXNks9mQk5ODEydOIC4uLtLDIQor7v+kZdz/Sau475OWhWv/F0URjY2NyMrKgk7XOzqu8vxWPXicJ63ivk9axv2ftIz7P2kZz3GJqCtYCaSTdDod+vTpE+lhUIjExcXxSyJpFvd/0jLu/6RV3PdJy8Kx//e2p6N4fqs+PM6TVnHfJy3j/k9axv2ftIznuETUGYxwEREREREREREREREREREREakAQyBEREREREREREREREREREREKsAQCGmK2WzGo48+CrPZHOmhEIUd93/SMu7/pFXc90nLuP+TFnA/J63ivk9axv2ftIz7P2kZ938i6gpBFEUx0oMgIiIiIiIiIiIiIiIiIiIiou5hJRAiIiIiIiIiIiIiIiIiIiIiFWAIhIiIiIiIiIiIiIiIiIiIiEgFGAIhIiIiIiIiIiIiIiIiIiIiUgGGQIiIiIiIiIiIiIiIiIiIiIhUgCEQUoWSkhLcdNNNSE5OhtVqxfnnn4/t27cHfy+KIhYvXoysrCxERUVh2rRp2LdvX5t1uFwu3H333UhJSUF0dDSuuOIKnDx5MtxvhahLOtr3b731VgiC0Oa/CRMmtFkH933qjXJzc0/btwVBwE9/+lMAPO6TunW0//PYT2rm9Xrx61//Gnl5eYiKikL//v3x+OOPw+/3B5fhZwD1djy/JS3jOS5pFc9xSct4jktaxnNcIlIKQyDU69XV1WHy5MkwGo34/PPPsX//fjz33HNISEgILvPss8/i+eefx0svvYRt27YhIyMDs2bNQmNjY3CZRYsWYenSpXjvvfewceNGNDU1Ye7cufD5fBF4V0Qd68y+DwCXXHIJysrKgv8tX768ze+571NvtG3btjb79apVqwAACxYsAMDjPqlbR/s/wGM/qdczzzyDV155BS+99BIOHDiAZ599Fr///e/x4osvBpfhZwD1Zjy/JS3jOS5pGc9xSct4jktaxnNcIlKMSNTLPfjgg+KUKVPa/b3f7xczMjLE3/3ud8GfOZ1OMT4+XnzllVdEURTF+vp60Wg0iu+9915wmZKSElGn04krVqxQbvBE3dDRvi+Korhw4ULxyiuvbPf33PdJLe655x5xwIABot/v53GfNKf1/i+KPPaTul122WXibbfd1uZn8+fPF2+66SZRFPndn3o/nt+SlvEcl6gFz3FJy3iOS1rCc1wiUgorgVCv98knn2Ds2LFYsGAB0tLSMGrUKLz22mvB3x87dgzl5eWYPXt28GdmsxlTp07Fpk2bAADbt2+Hx+Nps0xWVhaGDRsWXIaop+lo35etX78eaWlpyM/Pxx133IHKysrg77jvkxq43W4sWbIEt912GwRB4HGfNOXU/V/GYz+p1ZQpU7BmzRocOnQIAPDtt99i48aNmDNnDgB+96fej+e3pGU8xyWS8ByXtIznuKQ1PMclIqUwBEK93tGjR/Hyyy9j0KBB+OKLL/CjH/0IP/vZz/DPf/4TAFBeXg4ASE9Pb/O69PT04O/Ky8thMpmQmJjY7jJEPU1H+z4AXHrppXjnnXewdu1aPPfcc9i2bRumT58Ol8sFgPs+qcNHH32E+vp63HrrrQB43CdtOXX/B3jsJ3V78MEHccMNN2Dw4MEwGo0YNWoUFi1ahBtuuAEAPwOo9+P5LWkZz3GJJDzHJS3jOS5pDc9xiUgphkgPgKi7/H4/xo4di6eeegoAMGrUKOzbtw8vv/wybrnlluByrZPDACCK4mk/O1VnliGKlM7s+9ddd11w+WHDhmHs2LHo168fli1bhvnz57e7bu771Ju88cYbuPTSS5GVldXm5zzukxacaf/nsZ/U7P3338eSJUvw7rvvYujQodi1axcWLVqErKwsLFy4MLgcPwOot+L5LWkZz3GJJDzHJS3jOS5pDc9xiUgprARCvV5mZibOO++8Nj8bMmQIjh8/DgDIyMgAgNMSj5WVlcH0ZEZGBtxuN+rq6tpdhqin6Wjfb+81/fr1w+HDhwFw36fer7i4GKtXr8btt98e/BmP+6QVZ9r/z4THflKTX/ziF/jlL3+J66+/HsOHD8fNN9+Mn//853j66acB8DOAej+e35KW8RyXiOe4pG08xyUt4jkuESmFIRDq9SZPnozCwsI2Pzt06BD69esHAMjLy0NGRgZWrVoV/L3b7caGDRswadIkAMCYMWNgNBrbLFNWVoa9e/cGlyHqaTra98+kpqYGJ06cQGZmJgDu+9T7/eMf/0BaWhouu+yy4M943CetONP+fyY89pOa2O126HRtT2P1ej38fj8AfgZQ78fzW9IynuMS8RyXtI3nuKRFPMclIsWIRL3c1q1bRYPBID755JPi4cOHxXfeeUe0Wq3ikiVLgsv87ne/E+Pj48UPP/xQ3LNnj3jDDTeImZmZos1mCy7zox/9SOzTp4+4evVqcceOHeL06dPFkSNHil6vNxJvi6hDHe37jY2N4n333Sdu2rRJPHbsmLhu3Tpx4sSJYnZ2Nvd9UgWfzyf27dtXfPDBB0/7HY/7pHbt7f889pPaLVy4UMzOzhY/++wz8dixY+KHH34opqSkiA888EBwGX4GUG/G81vSMp7jktbxHJe0jOe4pFU8xyUipTAEQqrw6aefisOGDRPNZrM4ePBg8dVXX23ze7/fLz766KNiRkaGaDabxQsvvFDcs2dPm2UcDod41113iUlJSWJUVJQ4d+5c8fjx4+F8G0RddrZ93263i7NnzxZTU1NFo9Eo9u3bV1y4cOFp+zX3feqtvvjiCxGAWFhYeNrveNwntWtv/+exn9TOZrOJ99xzj9i3b1/RYrGI/fv3Fx9++GHR5XIFl+FnAPV2PL8lLeM5LmkZz3FJy3iOS1rFc1wiUoogiqIY2VokRERERERERERERERERERERNRduo4XISIiIiIiIiIiIiIiIiIiIqKejiEQIiIiIiIiIiIiIiIiIiIiIhVgCISIiIiIiIiIiIiIiIiIiIhIBRgCISIiIiIiIiIiIiIiIiIiIlIBhkCIiIiIiIiIiIiIiIiIiIiIVIAhECIiIiIiIiIiIiIiIiIiIiIVYAiEiIiIiIiIiIiIiIiIiIiISAUYAiEiIiIiIiIiIiIiIiIiIiJSAYZAiIiIiIiIiIiIiIiIiIiIiFSAIRAiIiIiIiIiIiIiIiIiIiIiFWAIhIiIiIiIiIiIiIiIiIiIiEgFGAIhIiIiIiIiIiIiIiIiIiIiUgGGQIiIiIiIiIiIiIiIiIiIiIhUgCEQIiIiIiIiIiIiIiIiIiIiIhVgCISIiIiIiIiIiIiIiIiIiIhIBRgCISIiioA333wTgiCgqKgo0kPpNEEQsHjx4g6XC+V7y83Nxdy5c8/4u2+++QaCIODNN98M/qyxsREPPPAAZs+ejdTU1A7HvGPHDsycORMxMTFISEjA/PnzcfTo0TbLHDp0CPfffz/GjBmDhIQEJCUlYfLkyfjPf/7T7fdHRERERESkBjzH7ZyecI4rv5/2/vvd737X7fdJRERERJHFEAgREVEEXHbZZdi8eTMyMzMjPZRO27x5M26//fZID+Osampq8Oqrr8LlcmHevHlnXfbgwYOYNm0a3G43PvjgA/z973/HoUOH8L3vfQ9VVVXB5VauXIlly5bh6quvxr///W+88847GDRoEBYsWIDHH39c4XdERERERETU8/EcVxlKnOPK/1an/jdr1iwAwFVXXaXkWyIiIiKiMDBEegBERERalJqaitTU1EgPo0smTJgQ6SF0qF+/fqirq4MgCKiursbrr7/e7rKPPPIIzGYzPvvsM8TFxQEAxowZg0GDBuEPf/gDnnnmGQDA9ddfj5/+9KcQBCH42ksvvRTV1dV45pln8OCDD8JsNiv7xoiIiIiIiHownuMqQ4lz3DP9WzU3N2Pz5s2YMmUKCgoKlHtDRERERBQWrARCRETUCbfeeityc3NP+/nixYvbhAMEQcBdd92Ft99+G0OGDIHVasXIkSPx2WeftXndmcrJiqKIZ599Fv369YPFYsHo0aPx+eefY9q0aZg2bdpZXwsA69evhyAIWL9+fZufr169GjNmzEBcXBysVismT56MNWvWdHkOzlR2dsuWLZg8eTIsFguysrLw0EMPwePxdHndoSKXr+2I1+vFZ599hquvvjp4cQyQLrBddNFFWLp0afBnKSkpZ1znBRdcALvdjtra2tAMnoiIiIiIKEx4jqvdc9wzef/999HU1NTjK6MQERERUecwBEJERBRiy5Ytw0svvYTHH38c//3vf5GUlISrrrrqtD68p3rsscfw4IMPYtasWfjoo4/w4x//GHfccQcKCwvPeSxLlizB7NmzERcXh7feegsffPABkpKScPHFF5/TRbLW9u/fjxkzZqC+vh5vvvkmXnnlFezcuRNPPPHEacv6/X54vd4O//P5fKe9VhTFTi/bWUeOHIHD4cCIESNO+92IESPw3Xffwel0nnUd69atQ2pqKtLS0s55HERERERERD0dz3HVf477xhtvIC4uDgsWLDjnMRARERFRz8F2MERERCHmcDiwevVqxMbGAgBGjx6NrKwsfPDBB/jlL395xtfU19fjmWeewVVXXdWmvOvQoUMxefLkcyrHarfbcc8992Du3LltnvqZM2cORo8ejV/96lf4+uuvu7xe2eOPPw5RFLF27Vqkp6cDkHoLDxs27LRlb7vtNrz11lsdrnPq1KmnPeW1fPlyGI3Gcx7nmdTU1AAAkpKSTvtdUlISRFFEXV1du/2sX3/9daxfvx5/+tOfoNfrQzo2IiIiIiKinoTnuOo+xz148CA2bdqEO++8E1arNaTjIiIiIqLIYAiEiIgoxC666KLgxTEASE9PR1paGoqLi9t9zebNm+F0OvH973+/zc8nTZqEfv36ndM4Nm3ahNraWixcuBBer7fN7y655BI8++yzaG5uRnR09Dmtf926dZgxY0bw4hgA6PV6XHfddXjsscfaLLt48WLcddddHa6z9bzJpkyZgj/+8Y+n/fzAgQO45ZZbzmHkLc5WVre9333++ef46U9/imuuuQZ33313t7ZPRERERETU0/EcV93nuG+88QYAsBUMERERkYowBEJERBRiycnJp/3MbDbD4XC0+xr5qZ2MjIzTfnemn3VGRUUFAOCaa65pd5na2tpzvkBWU1PT6fH27dsXffr06XCdZ7ooFR8fj7Fjx57TGNsj/xvJ895abW0tBEFAQkLCab/74osvMH/+fMyaNQvvvPNOp3ozExERERER9WY8x1XvOa7H48E///lPjBw5MuRjIiIiIqLIYQiEiIioEywWC1wu12k/r66uDsn65Qs25eXlp/2uvLwcubm5bcYC4LTxnDqWlJQUAMCLL76ICRMmnHG7rZ9wOpcxtzfeU3WnVK4SBgwYgKioKOzZs+e03+3ZswcDBw4MzrPsiy++wLx58zB16lT897//hclkUnycRERERERESuA57pnHrKVzXAD47LPPUFlZid/85jeKj5GIiIiIwochECIiok7Izc1FZWUlKioqgheV3G43vvjii5Csf8KECbBYLHjnnXdw9dVXB3++adMmFBcXt7lAJv//u3fvbtNH+ZNPPmmzzsmTJyMhIQH79+/vVJnarrrooovwySeftJkTn8+H999//7Rlu1MqVwkGgwGXX345PvzwQzz77LPB7R4/fhzr1q3Dz3/+8zbLr1y5EvPmzcOUKVPw0UcfwWw2h2WcRERERERESuA57um0dI4re+ONN2CxWE5r20NEREREvRtDIERERJ1w3XXX4ZFHHsH111+PX/ziF3A6nfjzn/8Mn88XkvUnJibi/vvvxxNPPIHbb78dCxYswIkTJ7B48eLTSs+OGzcOBQUFuP/+++H1epGYmIilS5di48aNbZaLiYnBiy++iIULF6K2thbXXHMN0tLSUFVVhW+//RZVVVV4+eWXz3nMv/71r/HJJ59g+vTpeOSRR2C1WvGXv/wFzc3Npy2bm5vb5iKfkj7//HM0NzejsbERALB//3785z//AQDMmTMHVqsVAPDYY49h3LhxmDt3Ln75y1/C6XTikUceQUpKCu67777g+jZu3Ih58+YhIyMDv/rVr7Br16422zvvvPMQFxcXlvdGREREREQUCjzHPZ1WznFlpaWlWLFiBa677jokJiaG5b0QERERUXjoIj0AIiKi3iAvLw8ff/wx6uvrcc011+AXv/gFFixYgFtuuSVk23j88cfx9NNPY+XKlbjiiivw4osv4pVXXmnzJBQA6PV6fPrppxg8eDB+9KMf4ZZbboHZbMZLL7102jpvuukmrFu3Dk1NTbjzzjsxc+ZM3HPPPdixYwdmzJjRrfEOGzYMq1evRlxcHBYuXIj/+7//w4gRIyJeRvbHP/4xFixYgNtuuw0A8O9//xsLFizAggULUFlZGVxu8ODBWL9+PYxGI6655hrceuutGDhwIL788kukpqYGl1u9ejUcDgeKioowffp0TJw4sc1/O3bsCPt7JCIiIiIi6g6e455OK+e4sjfffBM+nw+333572N4LEREREYWHIIqiGOlBEBERUfumTZsGAGHpI0xERERERESkJJ7jEhEREREpi5VAiIiIiIiIiIiIiIiIiIiIiFTAEOkBEBERUWR5vd6z/l6n00GnY26UiIiIiIiIej6e4xIRERGR1rEdDBERkYYVFRUhLy/vrMs8+uijWLx4cXgGRERERERERHSOeI5LRERERMQQCBERkaa53W7s3r37rMtkZWUhKysrTCMiIiIiIiIiOjc8xyUiIiIiYgiEiIiIiIiIiIiIiIiIiIiISBUMkR5Ab+H3+1FaWorY2FgIghDp4RAREREREVEPIIoiGhsbkZWVBZ1OF+nhdArPb4mIiIiIiOhMeuM5LhGdjiGQTiotLUVOTk6kh0FEREREREQ90IkTJ9CnT59ID6NTeH5LREREREREZ9ObznGJ6HQMgXRSbGwsAOmgFxcXF+HR0LnyeDxYuXIlZs+eDaPRGOnhEIUV93/SMu7/pFXc90nLwrX/22w25OTkBM8ZewOe36oHj/OkVdz3Scu4/5OWcf8nLeM5LhF1BUMgnSSXyI2Li+NFsl7M4/HAarUiLi6OXxJJc7j/k5Zx/yet4r5PWhbu/b83tVXh+a168DhPWsV9n7SM+z9pGfd/0jKe4xJRV7CZExEREREREREREREREREREZEKMARCREREREREREREREREREREpAIMgRARERERERERERERERERERGpAEMgRERERERERERERERERERERCrAEAgRERERERERERERERERERGRCjAEQkRERERERERERERERERERKQChkgPgIiIiMjr9WHPnmIUFGTDajV3+fUejxfVNY1oanSiqckBp9ODkSNzz2ldRERERERERN1hs9lRVWXDgAEZkR4KEREREWkQQyBEREQUcf/9cAv+9OdlSEiw4qYbp2L+/PGwWEzB33u9PgCAwaA/7bVFRZVYdO8/UFnZ0ObnWVlJePHPP0RmRqKygyciIiIiIiIK+PbbIjz08Duor2/Grx66GnMvGxPpIRERERGRxjAEQkRERBG3d99xAEB9vR0v/fVzvPOvL3H53HGorW3E4cNlOHqsAhazEQ8/fA0u/N55wdfV1jXh/l+8hcrKBhgMesTFRSEmxgKbzY7S0lr89K7X8NKfb0dqamyk3hoRERERERFpxGfLtuPZ338UfJDh93/4CLn9UjFsWN8Ij4yIiIiItEQXyY0//fTTGDduHGJjY5GWloZ58+ahsLCwzTK33norBEFo89+ECRPaLONyuXD33XcjJSUF0dHRuOKKK3Dy5Mk2y9TV1eHmm29GfHw84uPjcfPNN6O+vl7pt0hERET/z955h0dVJWz8d6en994TOgFCr4oFURF7x3VXP9cttnXV3bWsWyyrq261rWtdRUVFUVCkCNKkQwKEUEJ6732Sqff7485MCKmQCZOE83seHpK5555z7p2bO3PPec/79oHc3AoArrl6BtFRQdTVtfD+B5v4+pt9HDteisVio6m5jcef+JCvv9kHgMlk4dHHllJaVkd0dDArv3yUr1c+zrKPHuK9d+4nLjaE8vJ67r3vTYpLajx4dAKBQCAQCAQCgUAgGM7YbHb+/fJq/vLc51itNi68IJXzzxuHxWLj8Sc+pKq60dNdFAgEAoFAIBCcQ3hUBLJ582buvfdedu7cyfr167FarSxcuJCWlpYO5S677DLKyspc/1avXt1h+4MPPsiKFStYtmwZ27Zto7m5mcWLF2Oz2VxllixZQkZGBmvWrGHNmjVkZGRw++23n5XjFAgEAoFA0D0Wi5XCwmoAbr99Pss+fojHHr2OSxZM5I6fXMhfnl3Cp8se5opFU7HbZf7y3Ocs/XALz/7lczIzC/HzNfDSiz8mMNDHVWd4eACvvHI3CQlhVFQ28KsH36Wurs1ThzjsWPbJNlZ8ucvT3RhUtBhNGI0mT3fjnMHc2kpbc7Onu3HOYDGZaG0SExcCgUAgEAgE3fHKq9+y7JNtAPzfnRfx9FO38IcnbyQ5OYLqmiYef/xDTCaLh3spEAgEAoFAIDhX8GgczJo1azr8/u677xIeHs6+ffs4//zzXa/r9XoiIyO7rKOhoYG3336bDz74gAULFgCwdOlS4uLi+O6777j00ks5cuQIa9asYefOncycOROAN998k9mzZ3Ps2DFGjx49QEcoEAgEAoGgN4qKarDZ7Hh76YiMCESSJK5cPI0rF0/rUO7xx64jMNCbDz/aymuvK98h1GoVf/nLbSQmhHeqNyzUn1df/in3P/A2efmVbPuhmNtu69z+9h3H2Lcvh1/+4lI0GvWAHONwIiennH+/rAhy42JDmDZthId75Hna2sz8+Cf/xm6XWfbRr9HrtZ7u0rDGbrXyv1/8jObaGn6+9GO8AwI83aVhjSzLfPzwg1RkZ/Oz95cSENH1c5lAIBAIBKeD1WrjyT98TGFhNQsWTOTyy6YQGRno6W4JBGdEcXENyz/fAcCTv7+Ryy+bDIC3t56/Pnc7d939Koezinjxb1/x+8dv8GRXBQKBQCAQCATnCB4VgZxKQ0MDAMHBwR1e37RpE+Hh4QQGBjJ//nyeffZZwsOVyZ59+/ZhsVhYuHChq3x0dDSpqals376dSy+9lB07dhAQEOASgADMmjWLgIAAtm/f3qUIxGQyYTK1r+ZsbFRWvlksFiwWodoeqjjfO/EeCs5FxPUvGKxknygFIDExHKvV2mPZn929AD8/A/95Yz0Ajzx8FRMnxHd7Xfv5GXjoocXc/8A75ObV09bW0anBZrPz7F+WU1fXwpgx0Vwwf7wbjmjwU1ZWx/MvfElSYjhXXzWdpKTOIpru+H7TIdfPL/1tJe+8/Uu02kH1lfKs8+2a/ZSV1QGwe/dxZs0a5eEetTMc7/3Ht26hMjdH+XnbVsYvvNTDPRreFB04QNGBAwBkbdzItBtu9HCP+s7Zuv6H09+XQCAQnC3+9/4mNm/JAuDNt77jrbc3MG1aCj+9awETUuM93DuB4PT475vrsdnszJo5yiUAcRITE8wzT93Krx9+j9Wr93PdNTMZNy7OQz0VCAQCgUAgEJwrDJoRe1mWeeihh5g3bx6pqamu1y+//HJuvPFGEhISyMvL48knn+Siiy5i37596PV6ysvL0el0BAUFdagvIiKC8vJyAMrLy12ikZMJDw93lTmV5557jj//+c+dXl+3bh3e3t79OVTBIGD9+vWe7oJA4DHE9S8YbGzdVgyAWmPqFPnWFQH+cMtNY7Ba7SCXsXp1WY/l7XYZg0FDW5uV99//kthYP9e24uIm6uqUGLqvv96CsaWgH0cydNj4fQEZGeVkZOSz4svdxMX6MXlyBGNGByNJUo/7rl6d6fq5sKiap55+l9mzYvrUrt0uk5ffQGOjiUkTw1Gpem5rKCDLMv/7X/s5WfbJemprT3iwR+3IskxLYQGmmhrWWq2oNIPmq3+/yPt0mevnrSu+oMBq66H02UOWZYwlJbRWlBE0YSJqnd7TXXILhSu/dP286+tVVHr7dF94kDLQ332MRuOA1i8QCATDjcOHi3jvf98DcPNNc8nOLmV/eh579pwgK6uIVV89hsGg83AvBYK+cex4Kd9tOAjAL36xsMsy06aN4JIFk1izNp3PPt/BH4UIRCAQCAQCgUAwwAyakeD77ruPgwcPsm3btg6v33zzza6fU1NTmTZtGgkJCXzzzTdcd9113dYny3KHSYyuJjROLXMyjz32GA899JDr98bGRuLi4li4cCH+/v59Pi7B4MJisbB+/XouueQStFph1S44txDXv2CwsmPnMqCE88+bwqJFcwakjX37W9j4/WGs9kAWLWp3DXj1tfZoOmOrlkWLFg1I+4ONFV/+B4ARKZHk5VVSVNxEUXETCfGXccMNs7vdr7Kygb++uAtJkvjlLxby2utr2bW7gnvuuYGoyKBu9yssrObbNemsXXeAmpomAJKTR3LrLfPce2Ae4OChAiqrdrt+Ly0zcfnll/cqphlI6svKyFz7LZlr19JYoQieY0JDuOgX93isT+6iOj+fzMJ2sZapuJhLFy5E7UGBS1NVFYfXr+XQmm+pK1ZEbeFeXlz2yG891id30VRVxX/+/pLr99bSEi6ePx+9z9AQgpyt7z5O10iBQCAQ9I7RaOLPT3+KzWbnkgUT+dUDVwBQUlLL/b96i/LyerZvP8ZFF03wcE8Fgr7xn/+sBWDhJZMYNTK623I33DCbNWvT2bDhEPffeznBwX7dlhUIBAKBQCAQCPrLoBCB3H///axcuZItW7YQGxvbY9moqCgSEhLIzs4GIDIyErPZTF1dXQc3kMrKSubMmeMqU1FR0amuqqoqIiIiumxHr9ej13devafVasXk6TBAvI+Ccxlx/Qs8QUtLG8+/sIIxo2O4bcn5HbblF1QBMGJE9IBdm3PnjmXj94fZvfsEv7p/MaCIQbdtO+oqk51dhixL6HSD4uvRgNHU1Er2CUUY8Le/3YFsl/nf+5tY8eUuPv5kOzfcMKfbeJedO5XvX6mpcdy25Hx27DhOekYer762lr8+dzsAtXXNHDiQz7FjpWRnl3I8u8wl/AAwGLS0tVlY9skP3HjDXLy8hvYqzy+/2gMog76bNh+moqKBoqJaUlIiPdKf9S//i92ffuL6XWswYGlr48DKlcz70Y/xCeperDMUOLDqKwBGzptHyaFMjA31VBw9QsLkKR7pT+GBDD588AHsjigr5/nOXLuG835yJ4HR3U8EDAUOrf4G2W4jflIazTU11BYXUZyRzpgLLvR0106Lgf7uI75XCQQCQd/598urKS6uISI8gIcfutr1ekxMMAsvmcT7H2zmuw0HhQhEMCTYtz+HXbuzUatV/PSnC3osO25sLOPHxXE4q4ivVu7hzjsuOku9FAgEAoFAIBCci6g82bgsy9x333188cUXbNy4kaSkpF73qampoaioiKioKACmTp2KVqvtYPFbVlZGZmamSwQye/ZsGhoa2L27fZXmrl27aGhocJURCAQCgUAwMNjtdp5+ZjkbNhzijf+up7XV7NpmMlkoLq4BIDm5a2GmO5gxPQVJgry8SsrK6gA4caKc0rI6dDoNfn5emM1WsrN7jpYZDmQcyEeWZeLjQgkL9Sc8PIBfPXAFISF+VFc3svH7zG733bLtCADnnzcOSZJ45OGrUKtVbN16hD/8cRm3/eifLL7yLzzx+494/4NN7Nh5nJqaJtRqFXPnjOEvzy5h9ddPEBMTTH29kc+/2HmWjnpgqKpuZNOmwwAsWXIe06alAPDD9qM97TaghCengCSRNG06V//hT9z3xVcYIiKwtLWya9lHHuuXO2hrbubgmm8BmHHDTaTMVlxrsrf/4LE+Fezfj91qJTgunsWPPs6DX31N0vTp2G02tr3/P4/1yx3YLBbSHaKbadffwAjHc5Mnz7dAIBAIhjZbtx1h5ao9SJLE739/A/7+Xh22L7h4IgDbdxyjpaXNE10UCPqMLMu8/rriAnLN1TOIjQnpdR+n6+KKL3djHSSRhgKBQCAQCASC4YlHRSD33nsvS5cu5aOPPsLPz4/y8nLKy8tpbW0FoLm5mUceeYQdO3aQn5/Ppk2buPLKKwkNDeXaa68FICAggLvuuouHH36YDRs2kJ6ezo9+9CMmTJjAggWKAnvs2LFcdtll3H333ezcuZOdO3dy9913s3jxYkaPHu2x4xcIBAKB4Fxg6Ydb2LI1CwCr1UZ6Rp5rW2FhNXa7jJ+vgdCQgbPD9ff3JiZGqX+7Y4J+8xZl8n7GjJFMnJAAQObhwgHrw2Bh//5cACZPbhff6nQarr9uFgDLlm1DluVO+zU1tbr2PW/eOACSkiK45ea5AHy34SB5+ZWAEjNz1ZXTefihq3jjP79g7bdP8uILP+aC+akYDDru+IniIvDRx1swGk0d2jl6tIScnHJ3HvKA8dVXu7HZ7EyamMCokdHMnTMGgO3bj3msT2Mvupj7PvucJf/4F6mXLERrMBA+R4nd2fvF57TU1XUoX5WXS+nRI57o6mlzaM23WFpbCU1IJGHKVEbOUa69Ezu2e6xPjZWK22DqJQuZdMVidN7enH/nTx39XU1daUmH8rVFRRQdPHjW+3kmHN38PS21tfiGhjLqvPNd5ztn5w5ku93DvRMIBALBUMNstvK3v68EYMmt85g6JaVTmZSUSBISwjCbrWzZOjS+nwjOXbb9cJSsI8V4eem4846+uaRddGEqwcG+VFc3smnz4QHuoUAgEAgEAoHgXMajIpDXX3+dhoYGLrjgAqKiolz/PvlEsbBWq9UcOnSIq6++mlGjRvGTn/yEUaNGsWPHDvz82ieK/vGPf3DNNddw0003MXfuXLy9vVm1ahVqtdpV5sMPP2TChAksXLiQhQsXMnHiRD744IOzfswCgUAgEJxKcXENn3+xE5tt+E2q7dx1nDf+q7h1RUcHA7B7d7Zre26eMoGanByBJEkD2pcRyYGAsrIQYMsWRZgy//xxjB8fB5wjIpB0RcgxZUpyh9evuXoGer2WY8dLyThJqONkx87j2Gx2EhLCiI8Pdb3+f3dezLXXzOD662bx7DOK08f7/3uAR393LddfN4sJqfF4e3eM2Lt0YZrLDeSLFbtcr3/+xU7uuvs17rnvzUG/Ms5isfLVSiUK5vrrlRV9s2cp4uLMw4U0NBg90i+dlxcBER2jaPySU4gYNRpLW1sHN5DMdWt5686f8MG9v6Stuflsd/W0kO129n7xOQBTr78eSZJImj4DlVpNTUEBdSXFHulXY6UifPIPD3e9FjthAsnTZ2C32fjh/fddr2dv/4E377idD+6/x7XfYGbv58r5nnL1tag1GuImTkLn7U1LXR2lRz3ndiMQCASCock3q/dRWdlAaKg/P72r69gMSZJcbiAbNg4N0aTg3OW77w4AynNUcHDfFjRotRquuXoGAMuX7xiwvg0HbDY7b739HZ9+tp22NnPvOwgEAoFAIBAIOuDxOJiu/t1xxx0AeHl5sXbtWiorKzGbzRQUFPDee+8RFxfXoR6DwcDLL79MTU0NRqORVatWdSoTHBzM0qVLaWxspLGxkaVLlxIYGHiWjlQgEAgEgu556pnP+NvfV7L62/2e7opbKS2t5Y9/+gRZlrnqyunce89lAOzZc8JVJs8hAklKGrgoGCcpKYEA7NufS05OOSdyylGrVcybO5bU1HgADh8uGvB+eJLGRiMnTiguG1MmdxSBBAb6sOjyyQB8/EnnuIet2xTRzPnnjevwupeXjt88cg0PP3QVF16QSmCgT6/90GjUrgxspxvI2+9s4G9/X4ksyzQ1tdLY6BkRRV/ZtPkwNTVNhIb4Mf985ZxERgYyIiUSu11m567jHu5hO5IkMfcndwBON5Ba9iz/lK+e/jN2mw2r2UxT1eAWJeTt20ttUSE6b28mXKrcSwy+vsRNmgR4zg3EJQKJ6HgPO+//7gLgoMMN5NCab/ns8Uexms3Idjv1pziEDDbKjh2jOPMQKo2GyVdeBYBaqyV5xkzAs+4rAoFAIBh6WCxW3v9gMwA/uu189Hptt2UvvngCALt2ZQ/674OCcxe73c6evcpz7XnnjT2tfa+5egZqtYqDhwo4drx0ILo3LNi6LYt33t3IP//1Ndff+CIffby1Q7SsQCAQCAQCgaBnPCoCEQgEAoFguFJaWktxSU2v7h5l5XVkZiruEzt2eC5Cwt3IssyTf1xGU1Mr48bG8tCvr2TqlBRUKom8/EoqKxsAyM1tdwIZaEJCvIiMDMRstvKPf64CYNKkRAICvBk7NhaVSqK8vJ7q6sYB74unSE/PQ5ZlEhLCCOkifuemm5S4hx9+OEphYbXrdbPZyo4diqjhvHmnN8jZHQsvmURsbAj19UZ+9ov/8PY7GwBcjjB19S1uaWeg+Oqr3QBcffUMtFqN6/U5cxQ3kB9+GFxOCSmzZhM1ZgyWtjY+fPAB1v3rnwBIKuVxwFhf77nO9YH0r74EYOLli9B7twuNRsyeAyguG57AGQdzshMIQGzqBJJnzES22fj0d79l5bNPI9tsQ+d8r/wSgLEXXoRvSHu+vfN8n/DQ+RYIBALB0OSb1fupqKgnJMSPq6+a3mPZxIRwRo6Mwmazi7gMwaDl+PEy6uuNeHvrSR0ff1r7hob6c9GFqYBwA+mJ/emKO6VaraKuroVXXv2WG256kW3bRFSUQCAQCAQCQV8QIhCBQCAQCNzMzp3HufnWv3PTzX/j4kv+xO0/+TdP/uFjjh7tvPL7++8zXT/v2Xti0Edg9JXS0jqOHClGo1Hz7DNL0Ok0+Pt7MXZMLAC7HW4guXnKKvqkpPBu63IXkiQxe/YooH1Ayeng4OOtJ9nhRjKc3UD2OaNgTnEBcZIQH8bcOWOQZZlPP2uf5N2fnovRaCIkxI9x42Ld0heNRs2dP1Gys3NzK5AkiYd+fSWJCWEA1NUNXhGILMuuVXsXXpDaYdvcOWMA2LXruMf+no8f20GrsaOYSZIkzrtTcaeoylWug/PvupvYCcpq25a6urPbydOk/LgiQhp7Qce89ZFzFOFSQXo6JuPZvWbampsxG5UVyv7hnYVs5935fwBU5yv3mxk33ezq7+A/34ooccwp5ztl1myQJMqPH6OpusoTXRMIBALBEENxAdkE9O4C4uTii5RImO++E5EwgsHJLkfE6dSpyWg06l5Kd+b665Q4ye+/P4TdPvxiYd1BhuOZ/cknbuDxR68jOiqIuroWfv+HjzmUOfxjXAUCgUAgEAj6ixCBCAQCgUDgRsrK6/jTU59gs9lRq1WYzVZycsrZsPEQzz73ObIsdyh/sgikpcU0bAQIhw8rgzKjRkYRERHoen3GjBEA7N6dTWurmbIyZSI0+SzEwQDMnjWqw+8nR5s4I2EyDw/fAaV0x0Da1Cldi0AAbrlFmaT+ZvV+Xn5lNR99tJXPPlOiH+bNHYNK5b6vj5dcMonRo6LRaNT88Q83ccP1swkKUlwe6uqa3daOu2lqaqOlxQRATExwh23jxsUREOBNU3MbhzILKS+v5+//XMVli57mnXc3DHjf3v73Xax89V5WfPznTttGzJ5D4pSpSCoVlz30COfdcSc+gUHAmTlTrFj2FC88OI0dW5f1t9s9YrdaqS9XRDd1bRUdtgXHxRMUG4vdaiVv716aa2rY+Pqr/POqK1j3r3+cUXv/fvpKXnhkNtXVxT2Wc7qAePn7ozUYOm2PTZ3A2AuV2KMLfvYLFtz3AD7ByvVirK/HYm7jpUfn87fHL8RibjujvvaV2poSXnhoJq/85fo+lW8oU2KjgqJjOrzuGxxM9Fjlvnlixw6MDQ1seect/nXNVXz11J8AOH5kOy88OI33/3u/2/ovEAgEgqHLt2vSKS+vJzjYl2uuntGnfRY4ImH2p+dSW9s0kN0TCM6I3Q4RyMwZI89o/3HjYtFo1BhbzVRWDl8nyjOlocHIiRzl++i0aSksXjyNZR8/xLy5YzCbrfzu0fcpKan1cC8FAoFAIBAIBjdCBCIQCAQCgZswm638/smPaWxsZezYWL5b90eWf/oIL/71x3h56cjJKWfv3hxX+fLyeg5nFSFJElMck/I7dx33VPfdyuEsRcwybnxch9dnTFcGyfbuO0FeXgWyLBMY6ENQkO9Z6VdaWiIGg7L6cMyYmA4ClfGOvmYO01VFdXXN5DgG0tImJ3VbbsrkZEaPisZksvDxsm288tq37NjpiII5STTjDjQaNa+/9jNWf/0ECy+ZBEBgoCICqR/EcTBl5Yp4KTjYt9NqVrVaxSyH2Oj557/gxptfYvnyHTQ2tvLue99TXFIzoH0LDI1FAooPbqKxoaNTgyRJ3PLS33lw5TdMvfY6ALwdIpAzcabIPbgJtd3O1q/+jc1q7Xffu6OpphpkQJLZsLqjsEOSJFdEyYZXX+aVm65nx0cf0lJXx57ln1F27PRitlqNjZirSlCbTaxY+kSPZRsrFScjvy5cQJxc88c/8+DKr5l7+4+RJAnvwEAAWurrOHF8N5KxCZobWPX586fVz9Nl784vUVstmMrz2L6lZ9GO2WjE2FAPQEBkZKftzvO97X/v8sqN17H13Xdorqkmc/068vbuZc8Pn6G226nM/IH83Ax3H4pAIBAIhhBWq43/vb8J6LsLCEB0dDDjx8Vht8sdRPMCwWCgxWji4KECAGbOGNVL6a7RaNTExSmRe/n5lW7r23Ah40A+AAkJYQQHKzGmGo2aP/3xZkaPiqa+3sjDv3mPxkbFla+iop4PP9rC3/6+clA/RwoEAoFAIBCcTYQIRCAQCAQCN/Gvf3/DkSPF+Pt78czTt6LXa4mODmbu3DFcccVUAJZ9ss1V/vtNyoDmpEkJLLp8CgC7dmWf/Y4PAFlZygr68eM6ikDGj4/D21tPfb2RtesyAEhOPjsuIAB6nZZZM5WBugvmd4zxcDqBHDlaMixiebKzyygsrHb9np6huIAkJYUT3IPoRpIk/vKX27jvnsu59ZZ5LLxkElOnJrNo0RRmTB/h9n4aDDp8fdtdFJyCoMEcB1PucLCJigzqcrszEqaouAabzc60qSmMHx+HzWbn7XcG1g3kqhsew6bRopZlPl/6+07b1Vot3gEBrt+9g5xOIKcvArG1Km4tanMb3678+xn2uHcqC5T4GkknI9dXsW/Pqg7bnREr9aWl2MxmYlJTSZyi3HM3vfnGabWVn38QyfFzfe4hSoqPdlvW6QTiH959nJVKrcYnqN0txieo3XmluLB9UuvE7m86Rfi4k6qyE66ff/jmtR5txxsqFLGYwc8Pg2/ne8XIOYoIpLGiAktrKxEjRykxMcCm//6HuipFBCgBqz7+k5uOQCAQCARDkTVrMygrqzstFxAnCxY4ImE2iEiY08Vut3Mos5B/vfwNjz/xIaWlwjHBnezfn4vNZicmJriTK+DpkJSofIfMEyKQTmQ4nl2nnLJ4wdtbzwsv/JiI8AAKC6t56OH3uO/+N7nuhhd59bU1fP7FTh565D1aWgbWZU8gEAgEAoFgKCBEIAKBQCAQuIG16zJY8eUuJEnij0/e1Gly+KYb5yBJEjt2HicvT5k43LjxEAAXXzjBNbl+9FgJtYM4BqMvmM1Wjmcr0Q3jT3EC0WjULteTr7/ZB0ByUvcTqAPBr399JQ8/dBW3OmJPnMTFhuDn54XZbCX7RNlZ7ZO7qatr5u6fv85tt/+Td9/biNVqY/9+ZSK9pygYJ1GRQSxZch7337eIP/3xZl7+10/5/eM3nFHe9ekyFJxASp0ikKiuRSDz5o5h3ryxXHhBKm++8Uv+/a+7eOShqwBYt+6Ay5FlINDqDKSefzMA1cf3UF1Z0GN5pzOF8TSdQFrbmlHZ2t0/srYtxzRAkSY5h3YDiggEYNOKjm4g8WmTGXfxAkbOm8eP/v0qP3ntDRb99neo1Gpyd+2kMCO9z20V57dPNKmArz78Q7dlnU4gPYlATuXk811Z2i76U9tsXUb4uIv6k6JtVK3NbFz3ZvdlS5X7X0BkVJfbI0aOYtIVV5I8cxa3vPR37nr7XRY/9gRaLy9Kj2TRktc+kWGqKORI5hY3HYVAIBAIhhKyLLsiBW+9ZR4Gg+609r/wAkWwffBQIVXVIi6jL9TXt/Cvl7/huhte5Oe/+A+ffPIDmzYf5t773xLRGW6kv1EwThIdIhDhBNIZ5wKGtLTODpZhof68+MKP8fbWk3WkmP3peciyTFpaIoGB3hw9WsJvf/cBJpPlbHdbIBAIBAKBYFAhRCACgUAgEPSTpqZWXnjxSwDu+MkFzJ49ulOZ2JgQzj9vLACffLq9QxTMBRekEhrqz8gRyoTbnj0nOu0/lMjOLsNisREY6E1MdOeVUTMdgpfWVjMAyUlnzwkElEGj66+bhVar6fC6SqUi1SFaOXy46Kz2yd1kHMjHbLZis9l5863v+OU9/3VFukzpgwjEkwQFKSKQukEshnLGwXQnAjEYdLzw/O08+8wSlxBq9OgYLrowFVmWeePN9R3Kr1mbzuO//5Dc3Aq39O/SxQ9g0xtQybBy2Z9cr9usVj5869f866krKS1RYlJOdqY4HQpyM5AAO2BTqVBbraz69FnX9lZjI2/+8w5eff5GGhuru62nL5TnKG4csl5CBmiuZ+umpa7tdfXllOqzaIqqIXr8WCRJIigmlrTFivDm+/++gSzLrvLHtmxm+ROPUXokq1NbTmGGTaPcH4wlJ8jJ3uPanp+bwb+eWsyy935HY4XTCaTv9zDvQOWeaKyvcwkznG2dGuGTsW8N//jj5Xz71T86V3SatDreA2db+7/7X4cIn03r3+Eff7yMHVs/pb5cEYEERnUtApEkicWPPsatL/2dlJmzkCQJ3+BgZtx4EwDWPAuyrLQlAd+88RTLn3iMgvT9AHz16V/4558WcSRrW5f1CwQCgWB4cOxYKdknytDpNFy5eNpp7x8eHkBqajyyLLN58+EB6OHwwmKx8shv/scnn/xAZWUD3l46Fl4yifi4UCoq6rnvASEEcRe7HCKQGf0UgQgnkK5pamolO1v5Pjq5CxEIwIgRUbzw/O3MnjWKX/z8Uj5f/htee+Vn/P2lO/H21pOekccTT340LBw+BQKBQCAQCM4UIQIRCAQCgaCfbNmaRWurmcTEMP7vzou7LXfzzYrzxJq16Xz51S5AiYIJCVEybmfOVAaRhnokTObhQgDGjYtDkqRO208dLEs6yyKQnnBO2GdmFnq4J/3j4EHF/WHs2Fh8fQ0cziqizOFeMTltcItAhoITSHscTOBp7Xf33ZegVqvYtu0IhzILsVisvPjSlzz19Gds2nSYX977Xw654dpTazRMX3gXAI0FWTQ3ltBQX86//ryI8oObsVaXsPSl2zmRvdvlTNFymnEwRQWKk5GsNxCfptz3cvd+i9HYQGFBJq/8aRGNuQdpK83hjWeuoaoXR5KeaChTBoE1Ad74xCkiu52r/6NYnWes552/XEdbWS71J9J55dlrXLEq8+64A41eT/Ghg5zYsR27zcbG/7zG8ice49iWzSz91f3k7tndsa2aEgCCE1PBP1gRMSx7CoAtG9/n03/dhbW6lJL96zmy93vgzJxAWurqaHMIM0ZMX+SK8PniwycB+PLTZ1j/v8ex11WQteEDPn7vt2dw5tqxO6J7piy8C7skuSJ8bFYr/3v9HvauegV7XSXbPnueA9tXA92LQLpj1i1L0Pv6QpuEvVbF3Kt/jaVcjSmjhWNbNvPxw7/mH7+6ghPblmOrLWfVG79i7+5VvVcsEAgEgiHJqq8VEeX888fh7+99RnU43UC+/z6zl5KCl1/9lqwjxfj5Gnju2dv45usn+NMfb+aVl39KfLxDCHL/m0II0k9KSmopLq5BrVb1yWGxJxKT2p1AThYsn+scPFiALMvExYYQGurfbbkpU5L520t38OPb57ucWMeMieHFF36MTqdh+/ZjPP3MZz3GIAoEAoFAIBAMZ4QIRCAQCASCfrJhgzIZesmCSajV3X+0TpqYyJgxMZjNVj5YqtjjX3ThBNf2WTNHAbBr9/EhPVCRlaW4aIwfF9fl9tjYECJPmjwfTCKQ1NR4ADKHuBPIgYP5ANx801zef+8Bl/vH2LGxBASc2SD82SIoyBeAurrBKwIpK68HILIbJ5DuSIgPY9HlUwB4+ZXV3Hv/W6z4cjeSJBETE0xTUyu/evBtdjpcW/rD/IvvRPb2QwUUHvqEd567AbmhWnHuUKtR26x88eo9lJQfAU7fCaSqVHEs0vkEcvUtTyp12u289fcfs+zvd6BqM2KTJGyShKrNyLt/vZnCgjObwGmrU0QdXqFBXPOjZ7ADqjYj/3nxFta88zvUVis2tRo7YK+r5NWnr6KhvhK/0DCmX38DAJve+A/LfvMQOz5UHESCY+OwtLbyyW8fIWvjBldbrQ4njpCIJC6+9hEAzFUl/OfFJez+8p+oZRmbRguArcmo9Cu479eB03mltbERq1ERZsQmTHRF+FQd282rz91AzrYvUIGrrdL93/HOyz89o8+GVmMjKpuyCnJi2kLCx84ClAiffz91BdVHdiI52lIBVceV1dbdxcF0h8HPjxGXzAPAUq6lbN1BbGVaQAID2CwWjPtrsVarsWk0qGWZ75f+kc0b3jvtYxIIBALB4Ka11cy69QcAuPLK6Wdcj1MEknEgn5qaJrf0bTjy3YaDLF++A4A/PHkT8+ePR69XvkOEhvrzyr9/SkJCGBWVDdx3/5s0Nho92d0hze49yoKN1NR4fHwM/aorLjYUtVpFc3Mb1eL6duGKgpnctQtIb0xOS+Ivz96GWq1i/XcH+Wb1fnd2TyAQCAQCgWDIIEQgAoFAIBD0g4YGI3v2KpOhF180sceykiRxy83KBJksy0oUzPzxru0TJsTj7aWjrq7FZX86FDmcpUQcjOtGBCJJEjOmK24goaH++Pt7nbW+9ca4sYp7SWlp7aCOI+kJo9Hkun4mTUwgMjKQf//z/3jh+dt55ulbPdy73glyOIHUDVInEFmWXa4q3cXB9MT/3XkROp2GzMxCMjML8fM18OILP+b99x5g1sxRtLVZ+M3v3ufzL3aSnp7r+tfQcHqD9SqVivOv+hUAurYm1FYLNrWaBT95htt/8xE2nQG13c4PXytRI60NDWz7/iO2b1lGc1PvK0TrqxWhlG9QJF4GX0bOUqJXLJVFqGU7Nr2BGx54kyt//i9FIGIxs+yfd7JhzRts37KM7VuWsfOHzzCZ23pty9asREcFx8QTFZVC0Ig0pc8lJ5SHGb8g/u+JFcy5/hHsEkgtjbzx7DVs/f4D1Ek+aAw6KnNzyNuzB63BwLV/eoq7//cBYy+6GLvVyoo//YEdH31IQXo6lsoW7E0SwQFxpE29DHVwJBLQUnQUCdBHJnL/M+sZcf6NyGbF6ejLZY/xw+aPXMd16MCGrg4DAK+AAABkux2VSRFmJCRP6hDh01aWqxzv6Ok8/MIPhDpEG3XZ+3n9hZtc7WzfsozsY7t6PX/5zugeSSI0PIFrl/zZFeFjr6/CDiTNvoZfP78ZfWQiskk5rr3pKzq0VVTYuxW/PjkANDKYJY5t2YxKo0ETZ0E/pg11iBWQsBZpSRvxI+w2f2iS2LX0ZT56/ZEObVVXDW03JoFAIDjX+X5TJi0tJqKjg5lyhhO5AJGRgYwbG6tEwmwRkTBdkV9QyfPPfwHAj2+fz9y5YzqVcQpBYmNDqKhs4MOPtp7tbg4bnK6dM/sZBQOg02mIiVGiAvPzRCSME6cIpLsomL4wZ/ZofvnzSwF45dVvqR2iz/YCgUAgEAgE/UGIQAQCgUAg6AebNh/GZrMzcmQU8fGhvZa/6MJUwsOVScCJExM62JtqtRqmTE0B2nOGhxp1dc2UlioTyOPGxnZb7oILFPFL2qTEs9GtPuPra3ANxOXkVni4N2fG4cNF2Gx2IiMDiYgIBBRBwLx5Y102uYMZpxNIU1ProMxwbmpqxWg0ARDpOL+nQ0REIDfeMBuAlJRI3n7rXubMHo2Xl46/Pv8jLlkwEZvNzt/+vpJ773/L9e/6G17gyNHi02prxpzrkALDAJB9A7jjd58yeeoioqJHcvfjyxWnELUMKPbTOz99iR3LX+C1Jy+lIP9gj3W3NihRJiERiQBcef3vsOn0AGjD47jnj6tJTpnC2HHzuPlXbytxJzYbGavfYMfyF9ix/AV++OQ5/vXERTTUdz/obbdakU2K+0XsGEVod/2PnsEmKY8xgSMm86s/f0toaCxz5y/hkh//BZukQm1qY/eKf7B39b8hWBEUSQaJH738CuMuXoBGp+OaP/yJKddcC7LMxtdfZekD92I7psF8Qs+OF94lb+9eFt38e+yOM5Qw4wrueXQ5Xt7+XLLglyA74q5M9ez8/CXXca17+ze8/uKtXbp2qDUavPwd932rhF2SCAtPQq3RMPOyu5FRxBqTFv2cO+99A7VGw09++Rrx0xchA22lua52dix/gZWv/pKP3/1Nj++VK7pHZ0ClUuHvH0riVGVQ3KZWc9Htf+a6W/+AVmfgnkeXg00DQHPlsQ5tffLS7axf/VqPbdVW56OJsgLgFxbGj195jcCpo5EkkFI0jF+stLvn42WYD5oxn9BjOaEn76Mf2PZW+zl895lryNi3pse2BAKBQDB4WbVKiYK5cvE0VKr+DT1eeKEjEmaTiIQ5ldZWM0888RHGVjNTJifx07sWdFs2JMSPB+5bBMCnn20XzipngNVqY9/+HKA9yrW/JCUqkTB5+UIEAtDS0saxY0o8Y39EIAA33TSHkSOjaGpq5d///sYd3RMIBAKBQCAYUggRiEAgEAgE/WDDBmWitDcXECcajZqf3X0JKpXEzTfN6bTduaJo567+x0F4giyHC0hCQhh+ft07fMyaOYq33ryHRx6++mx1rc8kO+JpcoeoCMQZBTNxYqJH+3Gm+PkZXLFK9YPQDcTpAhIS4uey2T5dfvmLS3nt1bt567+/JDY2xPW6Vqvhj3+4if+78yKSEsNJTAwjMTGM0BA/jK1mHvnN/1wiq77y04c/wnfMIu55YiXhke0DqUHB0dzzh5V4xaSAMuePDR02SUJtt/HJyz+nrra023ptrcpquqi4sQBoNDp++thy5v/oz9z3+Ap8fQNdZRMSJ3LHb5ehDo7EptW5/tklUJvaeOvFW7p1BKkqKQAkkGRGTpzn6vstD73H5T/7B3c98DYajc5VPm3qZVx7z6vgF+hqhxg1mpEmdKNaWbHiDy5xhkqt5rKHHuHie+4jLDkZv8hwJIMdtDI2i4XPf/8YgfoIrv7lK9zw4Dvc8KOnXRNZjZXK/UHn6w2+fh2OSwaMRcf4+J2Huzwm70Dl3MhWySXMACXCZ+Gdz/OjRz9lwWU/77DPjbc/w4SFd2I3eLW35YiKKUnfwJpV/+72vaoqU9yq9Ce9Jzfd/iznL/kDd/9hFVOnX+l63dLWimxWzo/dR9/ellqNBGSseYt9e1Z121Z9dRGaUBshFyfys/8tJWZ8Kj/91XvMufFR7n/6W6753R+5/JHfEj5iJKEJiYQkJKD2ViJjLPlaLG06bCoVKhnWffB7CvIOdNuWQCAQCAYn+QWVHDhYgEolsWjRlH7X54yESU/PE6v5T2HV13vJy68kNMSPP//pFjQadY/l584dw/hxcZhMFv73waaz0sfhRFZWMS0tJgICvBk1MtotdSY6RCD5QgQCwMGDBdjtMtFRQa4FDWeKRqPm0d9di0olsW79gSE7xiIQAFgazTRk1mBrtXq6K+cE1mYLDZk1WJstnu6KQCAQ9AuNpzsgEAgEAsFQpba2if3pim3/xRdN6PN+iy6fwuWXTUaSpE7bZs0cBcChQ4W0tLT1O2f4bHM4S4mIGD++6yiYk+nJKcSTJCdHsGVr1pAXgaRNTPBsR84QlUpFQIA3tbXN1NW1dHDLGQyUlSsikMjIwDOuQ6VSkTap65VtKpWKn961oMNKzpaWNu65902yT5Tx0CPv8cbrvyAgwLtPbXl5+xMZMx2trvO9xNs7gHsf/Yw3Dt9GdX4eN//0FVShBpb94w7UFhNvv7iEe//4NV4G3w77tbY1o7Ipg08JSWmu14NDYggOiemyH+GRSTz4p9UdXkvft5rv/vd7VE31/PfFW7j3sS86rRY+lr5N+UEnExmV4no9PiG122MeOXomDz+7scNr6755lYNr36atLJcP/ns/P/nFq4ASTzXr1iXMunUJ61e/xsE1b2HVGogypVF0IINlv3mYO/7zJv5hYR3qa6xUBupDYuP5v+ff6bDto7cfpuzA95Qf3Mw3K17iimsf6bDdOyiImsJCsHYUZgBMnLyw2+O6dPH9XLr4ftfvdrud/7x4C60lJzi0/j2CQ2KZMee6TvvVVyviPL/gqA6vT591TaeyDeXlAHj5+/PQP9udOEzmNl55ajGqxlo2fPhngoKiSR4xtdP+rY01SEDUuFQMfn6A4n4y+7ybXGWmXH0NU65ub9tmsbD8909wYvs2dKWBXPvXZ/ns3XtRm0188srP+enjn3d7XQkEAoFg8PH11/sAJY4hzA3f46KjgxkzOoajx0rYsiWLa66e0e86hwtbt2UBsGTJeYSE+PVaXpIkfv6zS3jgwXf46qvdLLnlvH59pz3XcMaUTJmc7BKt9xfhBNIR5zlO60eM1MmMHRPLDdfP5tPPtvPSS1+x9INfYTDoet9RIBgkyLJMc3Y9NbsqkK0yDYdrCb8wBkN438YDBKdPc24jNTvKsJvt1B+sIWx+NN4xvr3vKBAIBIMQ4QQiEAgEAsEZ8v2mw9jtMmPHxroiRPpKVwIQgJiYYKKjg7HZ7GQeLnJHN88qhx19Hj+udxHIYCU52eEEkjf0RCBWq831HgxVJxCAwEAfYLA6gdQDnNVoHR8fAy+99BMiwgMoLKzm0cc+wGRy34oUpzNFS10d8QmpXH7Hc9glkFoaebOLWJOC3AwkwA5ERKZ0qq+vTJ66iClX/BIZMFcU8t5rv+hUpviYEmUiGVQdBCKWRjOmmq7dQ7pi4RX3EueIQKnO2sHK5c91KlNZmo2EiotH/J75c39F7OhJNFVW8slvHsbU0vFadIpA/MMjOtWz5K6/4ROvOKRkff8RO7Yu67DdO1C5dmSr1EmYcTqoVCru/vX7SAGhqIBNnzzL8WM7OpVrbXRG9yT3WmdDmSICCYjs2C+1Wc0dd72PTW9Abbez/LV7qK4q7LS/3eEQE+04/t6QZZmqTeXMmngXI6bMo7WhgW+ffo5rfvJ3bCo1aouZd166jdY2sfJbIBAIhgIWi5XV3+4H4Morp7ut3gscbiDffy8iYZw0N7eRkZEPwLy5ffvcBZg2bQRTpyZjsdh4972Nve8gcHHwUAGgxLq6i8QkhwgkrwJZlt1W71DlZKGNu7j77ksIDw+gtKyOd94V17xg6GBrs1K5sYTqH8qRrTKSRsJmtFL2bQGNWbXinuFm7GYbVVtKqdpcgt1sR9JI2E02KtYVUZdRLc63QCAYkggRiEAgEAgEZ8iGjc4omL67gPQFp0OGMwt3qGC328k6oggQxg1hEUhKcnsczFB7yDt+vJS2Ngt+fl4kJob1vsMgJShIEYHUDULLb6cTSFTU2ROBAISF+vO3l+7A19fAgYMFvPi3r9xWt0+QcizGeuXYJqRdwoyr7kcGLFUlfPDf+zuULypQhBmy3tDJueN0ufjSu0mceQUAdcf38u1X/+iwva5YERqofdpX7Mk2O2Wr8yn9Og9Lg7nPbd38k+fwS1Lu18e3fMbe3R1jTRpqSkgKvZgQQxL2NjsXXv5r/ELDqMw5wVdP/7lDWWccjH94eJdt/fTBd1EFRaACti5/kcKC9kkrn5NEIMERiX3uf1dodQZ+9ttl2A3eqGWZL9/4Fc3N9R3KOIUZUbFjeq2vvrwMgICodhGILMuUrS2kcVMDS+58B5tajdpq4b2//7iDQMhobEBtswGQkJjWp/635DXSWtyM3Wxn9ryfEhybQF1JCTte/x+X/eQv2CUJqaWR/75wCzarsD4WCASCwc4P249SX99CaIgfs2eNclu9F12oiED2p+cOSpGwJ9i16zg2m52EhLAO8YJ94ed3K85jq7/dT2Fh9UB0b9hht9vJdIhAJrlRbJ8QH4YkSTQ2tlJ3jl/bra1mjh5VxkAmp7nHCQTAx1vPIw9dBcCyT36gubnvQnKBwFOYa9so+TIPY2ETqCBoWjjxN4/EJ9EP7FCzq4KqLaXI9qE1ZjVYsTSaKfkqj+acBpAgcFII8beMwm9UIAD16VVUbCjGbrX3XJFAIBAMMoQIRCAQCASCPvD+B5tYfNVf+M8ba2lqaqWqupEDB5RBIHeLQMaMUWzvnQMgQ4WCgipaWkzo9VqXkGIoEhcXikajxmg0UV5R7+nunBYHDjoHJhP6PTnvSZxOIINxILS8zDMiEFBcav7yzBIA1q7NoMVocku9LieQ+nrXa/MvvpOE6YsAqDi2u8Nkf1XpCQB0PoFuaf+G257GN3E8AId3dhS3GKtrATAEB7S/VtyCrdUGdmg6Xs/pcNf9b6MKDEUCdm38X4dttiYj46JuUH6RwNZo45qfPY+kUpH9wzYaq6pcZXtyAgHQaHT8/HfLFOcMWWbr+rdd25znGytEx447rf53ha9fMD/69f+wqVSorVa2b/7Qta3V2IjKIcxITJ7ca10NDhFIYGSk6zVTRSvWRkVso6/158q7/oYdxSnmWNY2V7n83AwA7JJEaHjvK2TtFju1exzW5xLYmm0svv3PaPR6ig8dJMIviVnXPIgMmOoqKC8/0WudAoFAIPAsO3YcB2DBgkloNGq31RsbG8LIkVHYbHa2bM1yW71DmW3bjwIwd07vIs9TSU2NZ+6cMdhsdt56+zt3d21YkpdfSVNzG15eOkaMiOx9hz6i12tdzxX5eed2JMzRYyXYbHZCQ/3d/qw1b95Y4uNCsVpt7N6T7da6BQJ3YzPZqNhQjK3VijZAR/TiJAInhKDSqQm7IIbgGeEgQUtuI41H6jzd3SGP3WKnYmMx1mYLGl8tUZcnEDQlHJVWRejcKELnRiGpJVqLmmk4WOPp7goEAsFpMXRnBwQCgUAgOEvIssynn22ntraZ9z/YzI03v8Tzz3+BLMtMmBBPRESgW9sb6xCBHBliIpDDWcWAImJx56Dv2UajUZOQoLho5OYOrUiYAwfygaEdBQMQFKTkrdbVDT4RSKkHRSCgWHg7I6MyHHbJ/cXb6QRS13EA6fJrH8EOqG02TmTvcr1eX604/vgGu28A/MLLfwmA3NKI0djget3S1ApAQHS067WW3PbtTSfqT2v1k1qjYcKc65V6KjvGmYwNvAydxheLvo3wCxVHJls5TJi9GID8fXtdZXtzAgHw9g4gdsxsAMrzD7le1/p4AYoTSELypD73vSeiolLwjVJss3NOEmbk5aYr0T19FGbUlzmcQE6Kg2k+6Xy35DUyevRcVL6KKOfA3m9c24qdDjG6vjnE1B+sxma0ovHVErkwHiSwVtiYduEtgHK+z7vwdiZeehe3PfwBMX1wMhlsPPfcc0iSxIMPPuh67Y477kCSpA7/Zs2a1WE/k8nE/fffT2hoKD4+Plx11VUUFxd3KFNXV8ftt99OQEAAAQEB3H777dSfJOQSCAQCT+CMcpg61X1RDk4udETCrF2b4fa6hxo2m50dO44BMHfumX0+/uzuSwDYsPGQcFfpA4ccYvtx42Ld/qyblOiIhMk/t0UgRxzjCePHxQ5I/bPnjAbaxWqC/nE8u5SvVu6hra3vzoxnyo6tn/Lq8zditQ58W3t3fcV3a94Y8HYAvl//Nju3f97hNdkuU7W5RBEk+GmJuiIRfYiB6vx89n25AlNLCwHjQwiZqSxGaMisQbb1/Dxst9v5+osXycrcPGDH4qS1rZkVnzzdwQlzoKirLeWLj5+iurq498LdIMsy1T+UYakzofZSE3VFAoYIb+pKS9i34guM9fX4jQpEGqssrGjIqsFutrnrEAQCgWDAESIQgUAgEAh6ITevgtraZnQ6DYmJYTQ2trJjpzJwcPFFE93e3qhRymRnRUU9tYMwDqM7srKUieHU8UM3CsZJsiObeSiJQGRZ5uChfEBxAhnKBDmcQAbbgLQsy+1OIJGeEYEATJuaAsDefTluqc/pTGE8ZQLZ1zcQyccfgIzdX7teb21QbMNDwhPd0j7AiNGzsKnUqIC9J7mByK2KA0lUijLBYTfbMBYp90VJI2FvsykWuSdhMylZvnUZVdgtne1ap8+6FhlQW60U5B0AoLGkmuTgCwHwmeSLT4IfAanBAIwbdQW+fmGniEB6dgJxMmGa4qZib6zF1GYEoMWkXEOyVSIs3H1W18lj5wLQVJ7veq3YMfjWV2FGQ1nHOBjZJtOSr5xfSSMhW2WacxsJS1CcW8ryDmC32Kn6oQyv8mC0am/0fr3/bVgazTRkKi4vwTPC8Yr2IWiKIr5Lip5HYHCs63wvvOLeISkA2bNnD//973+ZOLHz94TLLruMsrIy17/Vq1d32P7ggw+yYsUKli1bxrZt22hubmbx4sXYbO0DjkuWLCEjI4M1a9awZs0aMjIyuP322wf8uAQCgaA7qqobKS6uQaWS3BqX4eSySycjSRLpGXkUFZ3bESaZmYU0Nrbi5+fFhNT4M6pj5MgoRqREIsuy275TDmcODEAUjJNEhwgk/xwXgQx0tOycWYoIZOeu4x1cDgWnR8aBPB5+5D3uuPMV/vrCCn7zu/cxmSwD1l5tTQnblv+VttIcXv/rTQMeEbnx46c5sPoN/vefewe0neqqQvatepVty57l6y9ecL1el15Fa0kLkloi/KJYKvKOs/z3j/PGj29jzd9e5KOHfkVbczN+owJRe2uwGa0059T32NaB9DUc2/Qx3/z31+z84bMBPa4Nq18n94cVLPvHHWQf29X7Dv3gq2VPkbfjS955/kaqKgvOqI7Gw7W05DWCBOEXxFJbXshXT/2J15fcwpq/v8QH991DS10tX615nMa2EmSLTM2hcvceiEAgEAwgQgQiEAgEAkEv7NuXC8CkSYm8/94DPP7odYSHBxAS4seCi90bBQPg42MgPj4UgGNDyA3kcNbADtqcTZKTFYeDnCEkAiksqqa+3ohOp2H06BhPd6dfBLniYAaXCKqxsRVjq7L6KCIioJfSA4dzde1+x72pv/gEKpP2LXWdrWRD48YCUHpiv+s1W6vyvkQ5trkDlUqFIVQRwB0/9L3Sn5YGcCz2GpE2T3mtsAnZJqMN0OE/VhFpnBoJU7unguacBurTqyn+PIem7HpkuX11VEBgOLKXco3t3/UVsixTtb0USVJRVLeDqLGKyCZoajj6cC9UkoY5F/yM/H17kWUZ2W6nyREN05MTCMC48fOxSRIqIH2f4prRYFQG+GWryq2xTdNmO8QtFhNlpYrNdVWZEqGi9w3sUx3tcTCKCKS1tBm7yYbaS03gJOVzqfl4PeMmXwqApb6K2v0VNB+vJ1Y1mYXj/s6Y8Mt6dWep3VMBdhlDtA/e8X4ABEwIwSvWBwkV8y78JUUHDg74IO9A0dzczG233cabb75JUFBnUYxerycyMtL1Lzg42LWtoaGBt99+m7/97W8sWLCAyZMns3TpUg4dOsR33ymW/UeOHGHNmjW89dZbzJ49m9mzZ/Pmm2/y9ddfc+zYsbN2nAKBQHAy6emKC8jIEVH4+hrcXn9kZCAzZ4wE4Otv9rm9/qHEDy7NlMgAAQAASURBVI4omNmzRvXLlWKG43zu2iXiMXrD6QQyYYL7xfZJScIJBNqdRccNkBPIpEmJeHvpqKlp4vjxsgFpYzhTWdnAL+95g3vufZMdO4+jUknodBr27cvld48tHTAhSHBIDKkX/QgZMFcU8p8XbxmwZwRTmxG1QyBUnbWDD9781YC0A1BVkY8ESMDRTcv49qt/0FLQ6Iob8ZscwBfPPsa7d9/Fsc2bQJbRGgyUHTnCst88hNnU6lq0UH+wpsfnr6py5fNZBWz95Dn27FwxYMfVUFsKgNpuZ8Xr95GTvWfA2mpxLE5Rm028++Ktp+0I0lrWQu1ex+KOtCC+fuUZ3vzJ7WSuX4dss6H18qK6IJ+PHvwVpoZ6jlesBKB6fzHG5kb3HoxAIBAMEBpPNv7cc8/xxRdfcPToUby8vJgzZw5//etfGT1aUeZaLBZ+//vfs3r1anJzcwkICGDBggU8//zzRJ9kCX3BBReweXNHO6ubb76ZZcuWuX6vq6vjgQceYOVK5WZ91VVX8fLLLxPozOQWCAQCgaAbnCujpk1NQaNRs3jxNK64Yio2m33AYk/GjImlsLCao8dKmD179IC04U7a2swu14xxYwdm0OZskpKsrO7PG0IiEGcUzLhxseh0Hv2K128CgwanE0iZwwUkNMQPvV7rsX5MdTiBZJ8oo66u2RWfc6Z4O0QgpzqBAIxLu4StR3dhrq/EZrVitrahsimDbgnJU/rV7qnEj5pOTmURdSXKRMSRfZsBCSSZxFFKbEpLrjLY4pPsj29SAA2HamgtaXHl97aVG2nOVuJL1D4abC1WqreV0XikjrB5UeiClUmp4JhR1J9Ipyh7Dy25jaiatVjtJg5UfcH5qv8DQFJJhF8QQ/HnOYSGJaOXAqgtKkTn7YPdakVSqfANCenxmNQaDbrgSGw1ZRzJ+I5Zc2+kqcUxwG+T3Hr+QsPisesNqE1t7N2xgiuv/y31joEwv+CoXvYGU0sLrY3K+Q2IVIRwzc7zneSP38hA6vZXYapuY+yM+XwvSQTpY2nMqkNCosVSg482hFGaiyn5MpfQedEYwr06tWMsacZY2AwShMyMQJKU8yBJEmHnRVP8RS7+AZGEhqRQdvQIsanuF1sONPfeey9XXHEFCxYs4Jlnnum0fdOmTYSHhxMYGMj8+fN59tlnCXcIivbt24fFYmHhwoWu8tHR0aSmprJ9+3YuvfRSduzYQUBAADNnznSVmTVrFgEBAWzfvt31PH0yJpMJk8nk+r3R8V5bLBYsloFbvSkYeJzvn3gfBZ5m/37lmWnixPgBux4XXT6ZnbuO883qfdy2ZA5wbl7727YdAWDWrJH9Ov4pU5L46OOt7N6djdlsdn0mCzpSXd1IaVkdKpXE6FGRbr/mYmOVidz8vMo+1z3c7v01tU1UVNQjSRIpyeEDclySBFOmJrNt21G2/ZBFSkrPYm5BR/79yjccOFiAVqvmskvTuOWWudTUNPPb333A7t3ZPPb4Up5+6pYBGYtYsOg+LBYTx7d8SltZLm/968fEjF7i9uuktq6jw0Ploa0sfeshbv7JX93aDkBDQ5XrZwnI3bKakXULUKPBd0wAu9YuJXf3LiSVmnEXX8zMW5Zgs1n55OFfU5KZybJHHuL6Z55HpVdhbbLQeKIO7yS/LttqaW5f7KECNn38DLIsMXnaFW4/rjZju0un2m7j89fu4bpfvkZCUprb27KYW9vbMrXxzl9v5o5HPiaoD8++tjYbld+XgAzeSX4c3POVIraRJEafdz4zl9yGztuHj3/9AJW5OVAOhSN2MDbyenz04ax7/V8s+MUD6A3ebj+u3jhb9//h8vkiEJzreHSGYPPmzdx7771Mnz4dq9XKE088wcKFC8nKysLHxwej0cj+/ft58sknmTRpEnV1dTz44INcddVV7N27t0Ndd999N0899ZTrdy+vjgOOS5Ysobi4mDVr1gDws5/9jNtvv51Vq1YN/IEKBAKBYMhitdpIT1dW2zsnXkGZrBooAQjA2DExrFuXwZEh4gRy/HgZNpudkBA/wsM955DgLpIdIpD8gkqsVtuAvtfu4qBjddrECYme7YgbCApURA11dYNMBFKuDJ5ERnkuCgYgOMiXlJRIcnLK2b8/l4sv7l8slY/DqcDYhRPIpGmL2LzsGdSyTObB79AbfJEAOxAR4b4oE4Cps64lZ9sXSG1G6mpLKchyrPLVS6g1GmytVlpLlWvCNzkArb8OQ6Q3beVGmrLrCZwYSvV2ZVWf36hAQmZF0JBVR/2Basw1bZStLST6ikS0/jpGT7yIXSfSMRh1VO9QBvuOla/EZui4gkrjo8UnyZ/mEw2kjDqP/H37iBytRJP4hoai0vT+OBU7YgoFNd9QU6Ss2m02Ogb8LDJ2q7VPdfSVwOgRNOVlUnBsJwCtjdVIQEhEcq/7NpQr58HL3x+9jw92i90VteObHIDaS4N3vB/Ggiba8oxoAkKZHH4XEhLeCX4sX3UHI4LmMzHxdiwNUL6ukKjLE9CHtK8GNzeYqNqsrA7zHxuMLlDfoQ9qgwbfEQE0Hq51nO+9Q04EsmzZMvbv38+ePV2verv88su58cYbSUhIIC8vjyeffJKLLrqIffv2odfrKS8vR6fTdXIQiYiIoNzxHpWXl7tEIycTHh7uKnMqzz33HH/+8587vb5u3Tq8vc/+4KXA/axfv97TXRCc42z7QYkgs1prOsVcuQubzY63t4ba2mb++9/ljBwZfM5d+/X1beQXVCFJ0FCfx+rVRWdcl8ViR6ORqKpu5IMPPic0VHwedMXRY8rK/NAQLzZv3uj2+k1mJe6ttq6Zzz//Ci+vvovNh8v1f+KE8hwSHGwYkHPsxNdHEcSuWbOHsFDjgLUz3GhqNrNp02EAbr15DFFRGg4eUKI+rr16BJ99foydu7L55b0vc901owZGUKYdizZuGpaivZhKczje8rZbXRUBGuuVMRU7QEgSqpo8Kg5u4pWXfkryuOvc2lZpoXL+LGoNssGftKCrUMsa6mwVpBce4thqJY41/trrkJKS2X1EEf/FXH0deZ8to/jQId689xfMvPIeoginZGch2VkFiqLkFPJylDhrs94XZBs6cyubPn6KzMwjhISPc+txVVeVoQEsvqHQWo/WZmX5a78kftpP8fHrXZxxOrQ2N6EDrIExSA2lqE2tvP3Xmxkx+z50up4XykQYQ4gwhdCmNnGg+ghHlysxObGXX4F23Hj2n1CErdFXXUveJx9jNbZgylZzNGEHU8OuZqT/Bbz6zHWMmnWf26/DvjLQ93+jUdwjBYLhgEdFIE5BhpN3332X8PBw9u3bx/nnn09AQECnm9nLL7/MjBkzKCwsJD6+PffS29ubSMeKtVNx2uXu3LnTtVrqzTffZPbs2Rw7dqzLlVICgUAgEAAcO1ZKS4sJP18Do0dF976DmxjjiPM4dmxoiECOHFVWm48dGzssVpBFRgbi5aWjtdVMcUkNiQmDd5WQLMts2nyYrY4VgWmTEj3bITfgdAKpqxtccTBOJ5CoyEDPdgTFmSgnp5y9+3L6LQLxdjjjtTU3YbNYUGvbB571OgPqgBDkhhoy968lPGYUALLe4PbBjrj48dg0WtRWC3t2rKAqXxl4UXsrjywteY0ggz7UgNZfByhiD6cIBAksDWZUBjVB08KR1CoCJ4TgNyKA8nWFmGtNlK8tJOqKRKbOuJJD33zIeUm/QbbYqTHnkV35Nf4pnQUHfqMCaT7RQHzSNA7vX+ESzfQWBeNk8oyrKNj1DRibaG6qpa2tFpABCWNjI74nRYH0l5Gp89mfl4mxqgi73Y69tRk1EBU7ptd96x1RMAFRymedsagJ2Sqj8dOiC1WEHH6jAzEWNNGc00Ba0q2EMBKLrRXviRGovrSQW/0dc+78BfZDatoqjFSsV8631k+HtcVC+dpC7CYbuhADQVNCu+yH36hAGg/XEh03kb0H3nfPiTlLFBcX86tf/Yp169ZhMHQdhXDzzTe7fk5NTWXatGkkJCTwzTffcN113Q8uy7Lc4fO1q8/aU8uczGOPPcZDDz3k+r2xsZG4uDgWLlyIv79/r8cmGLxYLBbWr1/PJZdcglbrOZcqwblNXV0zf31RmdC6847rCAgYODFBcYmOZZ/8QFk5jBzJOXftL/98J3CASZMSue66q/pd39ZttezZm4OXdwyLFs3ufweHITm53wInmDs3lUWLFg1IGx8vy6aiooGRo9KY2IfImeF273/7nQ3AcWZMHzNg5xhg+vRG1qz9G2XlLcyZM59ARwypoGfefmcjdrvMhAnx3HXXTZ22T5+ey6OPf8iJE/WEhY1mxowRA9ORRYtYufxZ8nesRNNQysgRoYwcNcNt1Wce3MDGfSCrVPzq0Y94/z+/pDEnA2vZIS66758YDP1z4DyZdV+f4Gg2qPVe/PI3n1P+ZSEAGQXvMHb85RyxWAhJSOSme+7t9P2+bPZsPvntwxiLi/AOaEWqU+Fl0XPhxPPxiuvcx49K11FdDr6BIdz2i9d5+4WbULc2U1+wkdvveMRtxwRQmPku5gaIih/FBZf9gk/+fRdaq4XG8q3cePN7bm3r+Pa/AZA65SJi4saz7v3H0FlN2IyZLLrmqW73s5ttlK0oQMZOzNwETMdKOGw04hsaxs0P/hr1KYs0qufN452f/wS5VYVWZ8WqMuOtCyXFayKBvvXMu+BHbj2u3jhb93+nc6RAIBjaDCqv8IYGxbo5uIeB0IaGBiRJ6hTj8uGHH7J06VIiIiK4/PLL+eMf/4ifn2KBJexyBU6Gm12iQHA6iOv/zNi1W1HMT0pLxG63Ybfbzkq7iUmhqFQSVVWNlJfXEhLSta3jYCEzU3lgHT0qalBeY2dy/ScmhHHkaAnZ2aXERHvW+aE7jh8v5ZVX13DA4QISHx/K+PExg/I9OB38fBV3gJYWEy0trYMm3qakVFkFGB4e4PFznJaWwCef/sDevTk99qUv177GywtJpUK222morsYvtOPkfHjCBCoObqI87yCyY2mRzidwQM6BT3g8baU5nDi8FWOlIrrRBvhgsVhoylGeFQyJvq62dTEGJJ0KW4uV+nQlEzhwaih2lR27xe44QAi5MIrKtSVYmy2UrysgeG4k5418HIM2gGaq2Vb0MnbZSlBYZwt7VZAG9Ha0GLDXStSWKuI839CwPp2D2PiJ2NRq1DYbu7d/gdzWAhoNWKGxqhK9n/vu72nTFrNv1auobTYyD36P2qZ8ZsUmTOi1r7XFipjPPyJCOd8n6gHwSvTF6sjd1oTqXDE7CSgDrofLPqMpdx4AdkkiMDwG5stUrSvBUm+mfG0hIRdEUbOlDFuLFY2flpALI7Fhx+Z8j05C8lGh8pegUY3eEoCxqQltN4KK3jjbVrkZGRlUVlYydepU1zabzcaWLVt45ZVXMJlMqNUdnaWioqJISEggO1uJQYqMjMRsNlNXV9fBDaSyspI5c+a4ylRUdI4rq6qqIiIioss+6vV69Hp9p9e1Wu2wmDwSiPdS4FkyDyufISkpkYSGDqwr4NVXz2DZJz+wa/cJJqelnXPX/s5dyufFvLlj3XLcM2eOYs/eHPbty2XJref3u77hSOZhxW1l0qSkAbvWkhIjqKhooKiolqlT+j6BPlyu/yNHFae41NT4AT2e6OgQRo6MIju7jH3787js0skD1tZwwWy2suprxZH9phvmdPn+zJo1mksWTOKb1fs4eKiQuXPHDlh/rr/1T7yYsRFVazNHDqxj3Pi5bqu7zeiY9Fap0ev13HX/W7z00AzUdjuZGeuZfV5nAcyZYmpTHC7VWh2mE22oJQ3Vzceorc9kz+dKP6ZffwM6na7TvvETJzLlyqvZuewjSjLTiV8whYaDNTQdrscvKbCTaMRsUtrSGrwJDolkwU2PsvF/v8fWVIskyWg0nds4U6xmZT7Ny9uPhMRUxs27gWObPqaxIs/tf9uyTXkG8/ULIm3qQjJ2raDm6C7K8w/22FZ9VgOyxY42UIdfciDpf10BwNRrrsHg1TnONGrUKNRhVmxlWhrySwlfEEvtnkpGRVzJniMfceEld7r1uPrKQN//h8Nni0AgGEQiEFmWeeihh5g3bx6pqaldlmlra+PRRx9lyZIlHVYr3XbbbSQlJREZGUlmZiaPPfYYBw4ccLmICLtcwakMF7tEgeBMENf/6bF+veKuYNC3DpitcXcEBRmoqWnlw49WMiJlcIoQnOzbr4hlmhpLzvp5Oh1O5/rXas0ArF37A8aWgoHq0hmTcaCStevyANBoJGZMj2bmjCg2bvzOwz3rP7Iso1JJ2O0yX6xYhb9f54lLT3DwoHKdV1cXe/w6N5msSBKUlNby8ccrCAjo+Rz1du2rDAZsRiPrvv4ar1O+N1tQfrc31VGcexgtYEY/IOfAro8Ecmgsy8VWp3G8pue7VesZ05CEjMyOE7uw5rYL8qKlMEJR7pFNmhYOZm2FI53r1qm1pEhxUAflXxfgow2hqa2M74r+gcVYhQaorrd1eVyhUiDRhBMfP50fvl4KQHVzc5/Pgd0rCHVzNXu2rUBtsyFp1MhWie/XrcM3vvfVnqeDRWdAZ27j28//gQawAbt2Z6JSZfW4X9mOHQDUGI2s/XoN4+pTkJDYW5iOqcTsKhduDyaSUCQkao255Fat4/iqQ2gAq1rrcnvUoGaEKh6aoHxVARISZsnCEVUulo2He+xLkNWPOKJISpnDinfexjexf9FDZ8sqd/78+Rw6dKjDtjvvvJMxY8bwu9/9rpMABKCmpoaioiKiohR75KlTp6LValm/fj033aQMNJeVlZGZmckLL7wAwOzZs2loaGD37t3MmKGIcXbt2kVDQ4NLKCIQCE4fWZZ57fW1ZBzIo7XV7Pp3/nnj+N1vrxkWbncDRUaG8p30bDjSJcSHMWlSIgcO5JN5uIqbe99l2NDS0kZ6unKu57lpknXmjJG88uq37E/Pw2y2Dhrx9WDBaDSRna24pfXFoeNMSUwMZ+eu4+TnVw5YG4MVu93O0SOKkGzc2NgBb2/2rNFkZ5exffsxIQLpAxu/P0RdXQthYf7Mnz++23JpaYl8s3of6Y7Pg4EkMDqFxpwDlORkuLXelhZlEYLkcIJQqVToAsOx1ZZzPHOTW0UgbUZlgYOXPpimY0q7R2pXY29U0VReid7XlwmXXtbt/nFpaexc9hGFGRlc9kAwjYdrMVe3Ya41dYjjBLCYlGcVnV5xvpkwaQHfSb9HJctkHthI2tTu2zld7BZFBGLwVubuJs+4kmObPkZlaqOutpSgYDc6LNuUhQo+vspYwOgJ89l+dBfmugrsdnuXzqV2i52Gw7UABE4MpfTIEUqPZKHWapl81dVdNmNqM6L2tWMDqo7n4DsygMo9RfgZotBWDf7oaIFAcG4zaL7Z33fffRw8eJBt27Z1ud1isXDLLbdgt9t57bXXOmy7++67XT+npqYycuRIpk2bxv79+5kyZQog7HIFCsPNLlEgOB3E9X/6mMwW/vGvfQDcfvuVJCaEndX2Mw60sXbdAfz8olm06MKz2vbp0NhodNk/3377Nfj7Dz6x5Jlc/y3GHRw8tAaNxn9ALWnPlGWfvgLA+eeN5b57LyMiItCzHXIzb797hJqaJqZMmcWoke7Njj1TPl2uDGhdsmAe06cPkMXtabB+QyWHDxfhH5DAokVTuizT12u//PNPqc7LY2rqeBKnTe+wzWZdyL8PfYZalpFbFLeNEaPTBuTvorp6Ah8+9wNamxV7mwoZFSMmTWFG0lQaM2oxRHqzcMGlHY+x3kTF10Wgkhh5xVjG+k3qtn5zrYmq9cVgAZvGwrYTz2Oz1qCWZQAWLf4REZGdBQe2Viuly3MJDU9B3aSsOJo0cxbT+noOzIc5sXU5UmO54qXieAqbMGoUYy+6uG919JHqwq+pz96H1KhMWKD3YvHixb3u9+WuHdQAk2fPYdSo2dTvrkIbpOfiKxZ0KGdtsVD+pSKMO9S4EpBdbXkFhHS4LiyNZqrWFmM32VHpVMQtTCE5sPdJK7vFTtHHx/APiCShrYSZZ3itnW2rXD8/P2JiYjps8/HxISQkhNTUVJqbm/nTn/7E9ddfT1RUFPn5+Tz++OOEhoZy7bXXAhAQEMBdd93Fww8/TEhICMHBwTzyyCNMmDCBBQuU92Ls2LFcdtll3H333bzxxhsA/OxnP2Px4sUi6lQg6Ac7dh7nw4+2dHp95ao9xMWFcNsS4ZLQHekZ+QBMTuufaK+vXLV4GgcO5HPwYBV2e2dXqeHK3r05WK02YmNDiI/vOlbtdElOjiA0xI/qmiYOHipg2tQUt9Q7XMg6UozNZiciPIDIAYyETEpSRNc5uV0vVhzOFBfX0tTchk6nISWl66h3dzJ3zmje/2ATu3ZnY7Xa0GjEJG5PLF+uCMWvuXpGj+fKef8/cqSY1lYzXl7uc5c4lZSx80jPOUBbbalb621tUYQZqpOcMaKSJlFcW0510VG3tmVqU6JvRwReiGyV0YUYMNa0YKtWzvGky69A18NC5PiJk0CSqC0uwthSj1e0D8aiZlpLmjuJQKzmVgD0XkpUjEajQ+UXDI21ZB34zr0iEKsZFeDlEwhATOwYV+Tr/t2ruPiyn7utLRyf/75+IQCkTV3Ets9eQG23cyJ7F6NGd444azpej91kQ+OnxSfJnw3P/hOAcRddjE9Q1+kEjY1VSN4ySDJtTU3UlhaiCpegEsJ1IzAaG/D2HlgXNIFAIDhTBoUI5P7772flypVs2bKF2NjOil+LxcJNN91EXl4eGzdu7FWEMWXKFLRaLdnZ2UyZMkXY5Qo6Id5HwbmMuP77zoGDhZjNVkJD/BiREnXWV/+NGxfH2nUHOJ5dNqjfs+wTymdsbGwIISGD+8HndK7/kSOUFQr5+VWD7vzb7XbKypTVIvffdwUxMd1H6Q1VggJ9qKlpoqmpbVCcf1mWqSivByAuLmxQ9Gn6tBEcPlxERkY+11w9s8eyvV37PkFBVOflYWpu7lROq9WiC47EVlPmEktEx48bkHMQFZWMXW9AbWpDNiv33OQJM2krVCxs/VICO/cvTEvEwjhUWjWG4M72rR3KRmhRL4yn6Xg9vmP9adlbg8pxTHYJomNGdLliSKvVYtY0obcFkDLqPNJ3f0pQVFSfz8H0OddzYuty1/lDp7Rhampy+3kcl3YJ27P3udrS+3Y+Z13R6HheCo6Jpa1YWS3mmxLQ+XwHaom8LB4A/+9jqCnb42rLP7jjOdGGaIm8LIHGrFr8xwZ3GpDsFi3YfdpQt2pRNer7fY4Gi1WuWq3m0KFDvP/++9TX1xMVFcWFF17IJ5984ooyBfjHP/6BRqPhpptuorW1lYsvvpj33nuvg5PIhx9+yAMPPMDChQsBuOqqq3jllVfce2ACwTmE3W7nv28qrkGLLp/CZZem4eWlJ+NAHq++tobX/7OW0aNjxAR5FzQ0GMnJUSau09ISz0qbF16Yyt//uYr6BhMZGfnMnHluCOB27zkBwKyZI91WpyRJzJgxktXf7mfXrmxxjZ/CoUOK8HXCALqAAIwfF+dorxCTyYJe7/lnjbNF1hElbmf06OizIsgYNy4Of38vGhtbycoqZuLEgX1vhzJZWUVkHSlGq1Vz9dUzeiwbFRVERHgAFZUNZGYWDuiiibSpV7D/ayUCsyDvAAlJ3S8COB2ccTAqbfucUOrkhRTvW4u9uR6TuQ297sxiKk/FbDKiUXmR4K08xwdODCGqfjw1jXmAzNTrru9xf4OfHxEjRlCRnU3RgQxiY6Y4RCAtBE7sKBJ0RrQYvNqfN8Ljx1GZuY2Kgky3HI8T2enO4dPuZuwdGoupPI+cI9vdJgKx2+2u53g/f+V4vbz9kbz9wNjEoX3fdhKByDY7DZlKxG/AhBBa6uvI2rgBgGnX39BtW02N1UgqkHzsyM1qCjLSGT3xYqory4jwn0D6nm+YO3+JW45LIBAI3E3nEc6ziCzL3HfffXzxxRds3LiRpKTOKwacApDs7Gy+++47QkJCeq338OHDWCwWl6XuyXa5ToRdrkAgEAh6Y+/eHACmTkvxiP3zmDGKMPLo0RJk58ThIOTIWbRuPZskJytC0eKSGkwmi4d705Hq6ibMZitqtYqIiMEtvDlTgoKUVSr19S0e7olCQ4MRY6sSiTFYXFemTk0GYN/+3H7fI3wClUEaY11dl9tjR3R0GklI7tp5xB0ERo9AlgFHAknCiDTMtY5s4VjfLvfxjvHFEN6zAMSJIdybsHnReIX4ogloHyCTdV5dCkCc+I1WxFZJKXNQqdT4dxE32R3RMaOxadtXlGm8lYHFlvquz3d/mDJ9MSevifYL7puTTn2ZspLOPyICU4UiAvHu5nx7RfrgFenD1FkdLXNDIpI7ldUHGwibF913AYizrinKZ0pY0EhaautPa9/BxKZNm/jnP/8JgJeXF2vXrqWyshKz2UxBQQHvvfcecXFxHfYxGAy8/PLL1NTUYDQaWbVqVacywcHBLF26lMbGRhobG1m6dCmBgYFn6agEguHHpk2HOX68FG9vPffdeznTpo1g/Pg4ltx6Hosun4LdLvOHPy6jsrLB010ddBw4mA9AQkIYwcF+PRd2EwaDjosuVKKkN23uOe5sOLFnryICmT7dfSIQgBmOydrde7LdWu9w4MBBRQQy0EKBpKRwIsIDMJut7N+fO6BtDTayshQRyLixcb2UdA9qtYqZM5S/oe073OvuMNz47HPFBWTBxRMJDur6ucCJJEmkTVbmdjIODGwkjJ9/CBaHUCNj7zduq7etrQkAzUlCjzHjzsMmSaiAg/vXuK0ti8lIctglaCUD2gAd3gl+UKoIKFT+dqya3seg4tOUOKOCjHS8opX3p63SiN3S0SHLblUerL1OcqsYM/EipR/1Vdis1v4fkBNXREug66W4kVMBaCjLcVszxpZ6nKO0ThEIQHDMKABKctI77dN0ogGb0YraW4PfiADSV36F3WolZvx4oseO67at5iZFOCL5K2MuhRkZeMf4Ist2Ar0SyM/c46ajEggEAvfjURHIvffey9KlS/noo4/w8/OjvLyc8vJyWlsViyqr1coNN9zA3r17+fDDD7HZbK4yZrPy4ZWTk8NTTz3F3r17yc/PZ/Xq1dx4441MnjyZuXPnAh3tcnfu3MnOnTu5++67hV2uQCAQCHpk3z6HCGSKZ1ZDjRwRiVqtora2maqqRo/0oS84RSBjh5kIJDjYl4AAb+x2mfyCKk93pwMlJcpDaGRk4LC1rw0MVKxP6+oGhwikrFyZrA8N9R80Wemp4+PR6TTU1DT1Oz/c2yEC6U6UMHnGVa6f7UBExMDZvY9Mne9wAZFAAq1NuRa0/jo03u4991HJaa6fdScNVHVZdmoKra0NGLz8iIlPwz+8a0fB7vA7KWZG769Mkhnr60+rjr6gN3ij8m93B+pKmHEqbc3NtDUpg57eumBkm4xKr0Yb2LONc0LSJGya9vckOr73qJe+EjwyiubmKjRaPaXbj7mtXoFAIDgVm83Om29/B8AtN88lMNDHtU2SJH7zyNWMHBlFfX0LT/z+I8xmN06WDAPSM5TJvrMVBeNk7pwxgBLjM5gF8+6itLSW4uIa1GoVUya791xPc4hAsrPLqK1tcmvdQxmbzU5mZiEw8CIQSZKYNUuZvNyx6/iAtjXYyMo6++MJcxz3j61bj5wT948zoba2iQ0bDgFwww2dYzW6Im2Scm9yfi4MJGpfJa65KHuf2+o0tyoRLRpd++ICtUaDNlBp6+jBjW5ry262MiJMiWEJnBSKpbWV7E1blTbDbOzfs6rXOuInpQGKKEHjr0XjqwU7tJUbO7blFIH4tItAJk65DDuglmWOZHWOwjtTpFMiWgDSpivRpFKbkcYG94ytNTYq9ciAr2/7s+/IVCW6r622vENcnCzLNBxyuICkhmCX7ez/agUA066/sce2Wpprlf77KbKTwox0VHo1RkkZO9E2nDvOTQKBYOjhURHI66+/TkNDAxdccAFRUVGuf5988gkAxcXFrFy5kuLiYtLS0jqU2b59OwA6nY4NGzZw6aWXMnr0aJcl7nfffdfJLnfChAksXLiQhQsXMnHiRD744AOPHLdAIBAIBj/NzW0cOaoMRnjKEtdg0JGUqKw0P3qsxCN96A1Zlskapk4gkiSR4nADyc0ZXNnMJSXKQ2hMTO8OaUMV5wTMYHECccbvREUFerYjJ6HXa5k0MRGAvfv6t6rG2+Eg0J0TSFLKVGyO79ay3tCjY0Z/mT7rWlcUjOSlcrlS6CO7z0Q+UyZNu8L1s19QzxnkKo2aRpNyv0sZdR4+QUE9lj+VlHHzXD/7hin39u7Od3+JTJzg+jkqdkyv5RvKlXucV0AAtnplsMwQ4d0nFyyf8HjXzwmJaafZ0+6RJAmjShncs5TZeyktEAgEZ87adRkUFFTh7+/FrbfM67Rdr9fyl2duw8/XwOGsIt5+Z4MHejl4yUhXJvvSJiWe1XYnT05Eo5GorGwgN7dzBPRwwxkFM35cHD4+7okjcBIc5MuoUUoU5p697lupPdTJL6jEaDTh7aUjJbnn74nuYNZMRQSyc+e5IwIxm61knygD2iNxzgZzZo9Gp9OQl1/pWtQi6Mj3mw5jtdoYNzaWsWP6NtbjFANmZRUPuJuqb7AiXjNWu+/9M7cpz506fcfnzogExXmqstB9zlOB6mgM2gAsUis+Sf6c2LEdU0sLKm8NKj87+Ud39lqHUwRSnZ+Hsb4er2hlDKW1tLljwS4iWvQ6Ayq/QAAOp6/v/wEBVqvZNdno59fuzpGQOBGbWoMEpO/92i1tOcUksiR1GJuYPP1KZEBts5Gfl+F63VxnwtpkQdJI+I0OpDAjnebqanyCghh7wYU9ttXcrDyzqwI1qHU6WmprqS0qQh+tiIXC9SMxtRl7qkIgEAg8hsfjYLr6d8cddwCQmJjYbZkLLrgAgLi4ODZv3kxNTQ0mk4kTJ07wr3/9i+Dg4A5tCbtcgUAgEJwOGRl52O0ysbEhREYGeqwfo0fHAEokzGCksrKB2tpm1GqVa+BwOOGMhMnNG1wDy8VOEUh0cC8lhy7OOJi6uuZeSp4dysvqAYiKPL2J/4FmqkOk1p0IxG624Wf26XWFm7dD0NCdM4VKpcI7TBmY1fkO7Dnw9QtGRhlQ0fp50epYyeQ1ACKQ0ePmYXMMGoVE9r6q1itR6UNk9Djsls7n1G6101LQhGzvvG367Gtxvhoeq7xvA+EEApA65VLXz4nJk3st31CuDL4HREa5Vo4Z+ni+E0fPAsAuSYSGu3eVbMDYUOx2KzaTFbvZ5ta6BQKBAMBisbpEHbf/aH63k+sxMcH89jfXAPDN6n3YbEKcBopw3jmBO9nN7hS9YTDoiI9XVjX/cA44Ru1xiEBmzBgxIPW7ImF2i0gYJzknFJHsiBFRqNUDP4Q+bVoKarWK4uIaiotrBry9wcCJE2VYLDYCAryJjj57z1l+fl5c6IiUWvX13rPW7lBiryN+6rzzuo/JOJW4uBBCQvwwm62umJ+BIjQyTZnst1ooKXZPrI/F7Fh84NUx2mx82gIA7E21WMxtbmkrVK88D7bq6pFUEnl7lUiRkLFJSBI0VuT3Wod3YCBhScpnb9HBA3jFOEQgJacspLEpz1G+/h0XEYU6FguU5R044+M4mabGatfPfg73FCeGECWiNPvwVre05RRmyKcsTvH1DUT2Us7DgZOigtrKlHNiiPBGpVG5znfKzNmotT07ebQalShAtU5HjCM2pjAjnZgJSsJAhF8q6fu+7e8hCQQCwYDgURGIQCAQCASDld2OB15PuYA4GTNmcItAnC4gyckR6PXDzwIxOckhAhlkqwtLSpVBwZiY4SsCGXROII44mMhBJgKZNi0FvV6LRt11LFDdziqSmmNoyqrvsR4fhzi6uzgYgAsW34fd4M3U+beeaXf7TGT0RADix07FXKMMtBki3C8CUalUJE+/HNnHn3kX3dFr+dELzqOltQaVSo2xsLNdeu3uCio3FlO3r3M8T1BwNEEjJqMKCmfMFGW1UcsAOYGkTlyALiIer5gRfRJmOEUggZFRtFUo0Zx9FYHMX/B/SAEhRIyb7XaHmIRpk1nz9TPsz/oQmyziFwQCgftZuWovZWV1hIT4cf11s3ose/754/DzNVBb2+yKiDjXOXSoALtdJiYmmLCwgN53cDMpyYEA7NjhngnAwYrNZncJfqdPHzkgbcyYodS7Y+cxrFYhvIT2hQDOhQEDjY+PgUmO2JkdO4e/sAno4CraFwc6d3LV4mkArP/uIK2t5rPa9mDHZrOzf38ucHpjYpIkkZaWCAx8JIzeEIBdrywcSN+90i112iwmAAynikAmXoRdklDJkHnAPW5gYd6KgMDqp7SZv0+JtUm75EoAVOY2amt6HweMT1ME/4UZ6RiifEACS4MZa3O7E4vkWBByckQLwKjUCwAw11d2iE45UxodIhA74GXw7bAtNmUqAHWlJ/rdDoDRIQJB3TkuNihaETUWn2iPCmotcywsiVLGmfL3KeKvxKlTe22rzag896u0hg7n2yvCG6vdhEEbSHGme4Q0AoFA4G6ECEQgEAgE5yRWq40XX/qSDRsOdtomyzJbtx4BYPbs0We7ax0Y6xCBZB0pGpQDE0eGaRSMk2SH7W/OYBOBnANxMO1OIINDBFLqioMZXCKQMaOjWfvtkzz7zJJO22ytVlqLFCeVpsN12EzdD+j35gQCkDrxIn7zwjbOu+BH/et0HwjyUgbbU0bOAhk0vo6M4wHghtue5pHnNhEa2vt9zODnR4zjc6GloKMIxG6x05zTCEDjkTqsxs4WyHc98Da//vMaAsOU4zP2ILrpD2qNhvuf+JJ7fvdpn4QZ9aWKCCQ8ZiSy1Y5Kp0IXpO9TW75+wTz09Hp+/PNX+tXnrvDy9+dny97nJ6/9B62+b/0RCASCvmK12vhg6WYA7vjxBRgMuh7La7Ua5s4dC8DmLe6zhB/KZDucEvoaFeBunCKQQ5mFNDYOXyv2Y8dLaWpqxdfX4Ho+dDdpkxIJDvalvt54TsWR9EROjvIMmHKWRCAAs2Yp3zPPlfcgK0sZTxjrgfGEtLQkYmNDMBpNbPz+0FlvfzBz7HgpTc1t+PoaGD369Bxf0yYpzhQZGfkD0LOO+DvE7oXZ7nFzcYlAvDuKQDQaHWp/ZQFO1sH+i0DsFhvBXsp5UgerqCstob6sFJVaTdqFi7BptEjAvj6IW5yRMAUZGaj1avShijCmtVQZR2lta26PaPEP7bBv2vRF2AG13c7xo9v7fVzNjcpiJVnq/Pw5adrlAEjGZpqb6/vdlrFFqUNSdx4jcMawtlaXKv2xy+1ul1HetDY2UnZMEdolTpvWa1umVuW5X6PTE5+WBkDBgQxQSTSplMUfukb3xrQJBAKBuxAiEIFAIBCck+zceZwVX+7m+RdWdMoqPZ5dRkVFPQaD1mWL6ylGjIgiMNCHxsZWHn186YDnqp4uzpU7nhi0ORvExikii6qqRiyWwbMK3SkCiR3GTiBBDieQukHiBFJSMjjdV1QqFTpd59UvAM05DTjzR2Szncas2m7r8XY4gRgHyJnidKkrUVY9BfgqEx19daU4G/gk+gOKze7JESUt+Y3IVmUFlWyTqT/QvY2383y3NTVhs3r+3lJXqpzv4MBEAPQR3kiqs7saszuE+EMgEAwUW7ZkUVnZQFCQD1deOb1P+8yfPx6AzVsO9xq1di6Qm6uIQFJSIj3SfkCAnqTEcOx2mZ27hm+MiTMKZsrkZDSart3f+otGo+aSBZMAWLM2fUDaGGrkOK7vs+UEAjB71igA9u3PHXTP/gNB1hElMmT8uLiz3rYkSSy+QpkAXrVKRMKczN69ivPQ5MlJp33PmZymiBsOZRYO+BhKgiOWsrnSPe5cslVZeOXl3dnZKjxe+fyvLMjsdztt5a2oJDXNpgq8Q/3J36tcfzHjU9F5e+PjiGHNO9K7MMPpTFGZc4LWpsb2SBiHCKSxvn1Bk59fx7EML4Mvko/ybJuZvrafRwVNzY7xhi7is5JSpmJTqZGAjJNiWs4UZ0SLSttZwDt1xlVKVJDNSmFBJqaaNmSLY6FDsIGC9P0gy4QmJOIXGtZp/1MxtSkLa7Q6b2LGp6JSq2mqrKShrAzvWOX8hetGuC0qSCAQCNyJEIEIBAKB4JzEae3a0mLih+0d7YO3blVW9s2cMdLjESc6nYa/PvcjvLx07Nlzgif/8PGgsee12+2umJrh6gQSFOiDVqtGlmWqazpHP3iCxsZWmpqUuIbo6MElSHAnQUGOOJi6Zg/3RLHDLS1VxBGxQ8R9RZZlmrLrAWjUKgNADZm12Nq6HojzCVKuJVNLC1az512H6koUgZnOrjjCDCYRiDZQhzZAB3YZY1H79dmcrQxEOQfemo7XYWnq+lx6+fsjORw6enJfOVvUFSvn20urXN9eAxC9IxAIBIONzz7fAcA1V8/oVlB5KjNnjECv11JWVsfx7LKB7N6QwOmWdzadEk5l1iwlxmT7juEbn7F7tyJwmT7ACxQuuzQNgG0/HHU9b5yrtLS0UV5eD5xdkVNycgRhYf6YzVbS0wc2TsPTmEwWiooU0fSoUafnNuEuFl0+GbVaxcFDBeQXdI5zPFfZ64hHnj7t9O85SUnhBAZ6YzJZBjzWOG36YgDUFjMV5Tn9rk92iPO9fTq7f46ZdDEAloaafov4W0uVZ8iqpiz8/ELJc0aTOFwp4kYp/zeU5/Zal29ICMFx8SDLFB08iFd0uwhEtss0NSl/Y3YUR5NTCY5RhGclORn9OiboOaJFpVKhD1bupcczN/e7rTaHO4da23nBgH9AGLJBeZ7N2Ps1bWXKeIgh0gdJJZG3dw/QNxcQAEub8nmoM3ij8/IiaqziCleQkU7iFCXGNtR3NAf2f9ePIxIIBIKBQYhABAKBQHBOkpvX/oC/dl1Gh21bHPbO55837mx2qVsmTEjgr8/fjk6nYdsPR/nz059is/U/r7O/FBZWYzSaMBi0JCaGe7o7A4IkSa5886rKRg/3RqGkVHmIDwnxw8urZ9vyoUygwwnE2Gr2+Cq4yqoGrFYbWq2asDB/j/alr5ir27DUm0EtUeRThjZIj2y103Coa3cKg68vklpZ5eVpUYLJ2EJLXR1qtQ67wwhmMIlAJEnCO0GxCG7JVwafLI1m2iqMIEHo3CgMUd5gh/oD1V3WoVKr8fJXrqWBioTpK7LdTl1ZKZIkoWpVBuwG0/kWCASCgeB4dikHDuSjVqu45pqZfd7PYNC5Vupv3nx4oLo3JLBabRQUVAGecwKBdueEXbuOD4pnJHdjNJo4lKmscp85Y+SAtjVqVDRJieGYzVa+39T/1e5DGed4QWioP/7+Z+97kSRJzHJc0zt2Dl9hE0BRUTWyLOPnayA42NcjfQgN9XdFAH/99T6P9GGwYTJZOHioAIBpU1NOe39JklyRMOkZAytkCg2Nw6ZTRAD7d/UendIrdmXBla9/54Ufk9IuUaJTZJmszO/71UxLiTK2VNV8GH//UAr2Kdde0lRFlJA2TRG3SG2tNNT3Lk5yRpQUZqSjD/NC0qqwm2yYa9poblTcOWRV144uI1PPB8BUW47d3r/P0FZHRIuqC7EJQEyy0s/akv7HXZmMynO4VufV5faASOUaLDq+l9YyJQrGK0q5l+c7znfi1D6KQMzK/jqDcp9KmKS4rxRmpKMP9sJorUWt0lGeObzv2QKBYGgiRCACgUAgOCfJy2u3RNyx4zgNDcqX+pKSWk7klKNWq5gzZ4ynuteJaVNT+Muzt6HRqNmw4RCvvb7G013iiCMKZvSo6AGzJR4MhIcrE7WVVQ0e7omCMwomZhi7gAD4+hpc11VdnWcjYUqKFeFEdHQw6i6sTQcjThcQ7zgfbCo7/pOU66XxSB1WY2dRjaRS4R0QCHhelOCMgolJngh2UHtr0Ph61pXpVNojYZqxW+yu8+0V7YPGR0vQFMVWtvlEA5YGU9d1BCkrzDwtummqqsJmNhMUEo9sBUmjQhciMo0FAsHwZvlyxQXkggvGExZ6egLPkyNhzmUKCquwWm14e+uJjAz0WD/Gp8bh62ugocFIVlaRx/oxUGQcyMdqtREVFTTgsYSSJHHppcrk1rkeCZPrcLk5m1EwTpzCpp07+z9ROphxisjiE8KQJM/FEF65WJkI/nbN/kEVAespDmUWYjZbCQ31JyGh96iMrpg0KRHgrLjZ+IUnAJB/bHe/65IcIgg/v84iEK3OgMpPeX7LzFh/xm3Y2qzYGhSxSWVTFo2llRgb6tF5eRM9Tvl+EZ+Qik2tQQL27e5d3BI/KQ1QRAmSSsIrqt0NpMUV0dL1mN3kaYuV6BS7jbyc/gmh2loVcYu6i4gWgNQplwIgtzTS2tY/x1ezSRkj0uq7FoEkjZ0DQGt1GaYKZbzXEO1DY0UFtUWFSCoVCZOn9KktmyPmxeClLASJc4luMpAkiSa1ItTRN3XdF4FAIPAkQ2MUWyAQCAQCN2Kz2V0DDsHBvlitNjZ+fwiArdsUF5BJkxIJCBhcK6HnzB7NY7+7FoD16w94uDeQ5RCBjB179vN7zybhDieQyopBJgIZ4EFgTyNJkssNpL7esyKQYocIZKicc7vVTkueMgDjnaJMbBlivNGHeSHbZBoOdu0G4hMYCEBLnYdFII5oktikNEBxpfDkwHBX6IL1aPy0yDYZY1ETzSeU+4PvyEAADOHeeMX6ggx1GV27gXgHKoOInj7ftY7onYRR0wEwRHghqQbX+RYIBAJ30tBgZJ3ju/SN18857f3nzB6NRqMmL6+SgsIqd3dvyJCT0z5J7snPaY1a7XLI+GH78FuFu2dPeyzD2TjPly6chCRJZGTkU1bm2e8oniQntxzwTNTR9GkjUKtVFBXXUFzS9ff24YDz/pmY4FlX0dmzRhEa4kddXUunqOBzEWcUzLSpKWd8z5k8WXFhOHSoYMDjjBNHK25eTZX5/arHZG5zTZT5+od2WSY0TlkoVp536IzbaStXBAmNrcW02hop2K8IL+ImTUKtaY9R8QpVIpJysrb1WmdCmiLeKz9+HFNLiyuetLWkBaPDnUNSd72owtc3ENlbcbg4sPfbMziidtqMzoiWrhcUjBozB5tKhQrI2LO6X21ZTE53Dp8ut0+beTUyEKZPQLbJqL3UaAN0ruidqDFjMfj2zYHIZlEWdRi8lbGVuAkTkVQq6stKaayowDdBea4P04/AavV8tK5AIBCcjBCBCAQCgeCco7S0FrPZil6v5dZb5gGwdm0GAFu2Dq4omFOZMiUZgPoGI7Ise7QvR48pq/XHjInxaD8GGmcczOBxAhlagoT+EBSkPNDX1fVvlUh/KSlVhDexMZ1XBA1GjAVN2M12NL5a9JHKahRJklzuFI3H6rt0A/EeJM4UdaXKvSU0TLEfHozRJJIk4ZOgDALV7avCZrSi0qnwjmsfSHKe75bcRsz1nd1A2s/34HBeCY9WBjUH4/kWCAQCd7Jy1R7MZiujRkUzYUL8ae/v5+flssjfvDnL3d0bMuR6cJL8VOY44hx27Bh+IpDde7IBmDF9xFlpLyIi0DWBe2ps6rlEbo5yfXvCCcTHx8DECYq7wXB2A3EuzDlTtwl3odGoufxyxRFglYiEYe/eHACmTzv9KBgnI1Ii8fPzwthq5sjREnd1rUumzLwKALXZREV5zhnX09TYLtz360YEMnbixQBY6ivPeLLfGU1S1XwYVGpXNEnStOkdysWNVBxq6ktP9Fqnf0QEgdHRyHY7hRkZLhFIW6WRtmZlLEWl7d5ZMzhaEVIWn9hzmkfTEVOr0lZ3ES0qlQpdkHJPPXpwQ7/asjrcOZwRLacSFByNXW8gzFdxVzFE+SBJEvkOEUjStL5FwQDYrcrYiZdPIAB6Hx8iRyvfO/L372PkrJnIsp0ArzgO7v7ujI5HIBAIBgohAhEIBALBOYcz3zcxIYyFC9OQJImDhwrIyiri4EEl+/S888Z6sovd4nRGsFptNDe3eawfNpudHMfA2KhRUR7rx9kgImKwiUCcTiBDQ5DQH5zXe90gcQKJjR0a59wZTeI7IqDD6i2vaB8l5sMuu1YgnYy3wwnEOAicQFRqDT56ZfBtsIoSfBIVO1hrszIo5JsSgErT/nilDzFgiHYMwJV1voa9B4vzisMJJMBXEfQZIgbn+RYIBAJ3YLXa+GLFLgBuvGH2Ga9yPv98RTB+LkfCOJ1AUlIiPdwTmDVrFJIkkX2ijMrKwfGd3R00NBjJczy7Tp165hOyp8vll7VHwnh64YEnkGWZHEccTEqyZ67vuY5o2tXf7h+270H+IBGBACy+YioAu3YdH1b3kNOlqanVtdhnWj9EICqViqlTlQVMexxCtoEiIjIFm05xntiz/fMzrqfZIQKxA3pd104Wk6Ytwi6BWpY5lH5mkTDO58KqpixkSUNhhhK9lTi1oyhh2uzrAZDajFRXF/dar1NEkrd3N1o/HRo/LcigMyrPo2qNvtt9x0xSxC1tNWXYHZE4Z4LZ4c6hNXT/PBk3Uvlbqy46csbtwMkRLd1H+gVGjyTMT/m+5hXljSzL5O1VRCCnnu+eG1Nionx8A10vJU11nO89u9H7eFFnVuLoKjPPXIgkEAgEA4EQgQgEAoHgnCMvTxnQSUqKICzU37WS75m/LMdulxk1KpqoyCBPdrFb9Hot3l5KvqYnIzKKiqtpa7NgMGiJi+16lcRwwekEUlXZ6OGeKDhdKWKizwUnEGVVR32dh0UgJUPnnFuaLbQ5Vhf5jgjotF0fogxomes6O1P4DCInkJDQJCRUim2rf9eZwp5GF2pA7dNu2dvl+Q51nO/aLs534CA53yUl+AdGoVHpkNQS+lCRZSwQCIYvP/xwlIqKegIDvVlw8cQzruf888YiSRJHjhRTUVHvvg4OITwZl3EqQUG+jB6lWOcfOlTg4d64j0JHXEZEeMBZjSq94IJU9HothYXVA76KfzBSW9tMQ4MRSZJISvJMVMnll09Gp9Nw9GgJhw4VeqQPA4ndbqewUJl0TxwEIpC4uFAmpyVht8t8s/rcdQPZn56H3S6TkBDmGgc5U2ZMU9yLnJFWA0lgtDKml3d0xxnX0dSo3G9lVffTZXqdAU2AMv51KH3NabdhNVqwNJiRkalqPoLUqsbS1oZPUBDhyckdysbGjcWm1SEBe/sgbnGJQPYobh5ONxBfq9Jftb5rYQsobip2QG23c/jQ96d9XE4s5p4jWgCmzroOAMnYTEN95Rm3ZXM4sXh5+3VbZkzqxQT7KNehLsKL6vx8Wmpr0Oj1xI5P7XtjdiXSyMe3fTwoabrjfO/biyzLtBkU8ZhXa//+bgQCgcDdCBGIQCAQCM452kUgyoDOpZemAZCfrzz0nT9IXUCcON0RPCkCyc4uA5SVf2r18P46ER6urCwYDE4gJpOFqipFjHJOxMG4nEA8Fwcjy7IrgmcoOIE0n6gHwBDljdavs3hCF6ysAOpKBOJypvB0PElxCeGRir2qIcL7jFdpDzSSJOGTqNwfdEF6xWXlFHRBvZ9vjzuvlBS7zrc+3AtJPTjPt0AgELiDlV8rK0CvunI6en331ui9ERzsx8SJSlyDM07yXKKlpY3y8npgcDiBACQmKs92TvHucMDlRhd3dr+D+njrXc/Ea9amn9W2BwO5DheQ2Jjgft0n+kNQkC+XLkwD4JNPf/BIHwaSisoGTCYLGo2aqKjBsQDnyisVZ4Cvv9nXLzeEoczevYpgY5obnIemT1ciRjIPF9Fi7Pws5E5GTbgQgNaq4jN+75qbHM9kKnWP5aJTlOigyvzM027DuVijVarHYmtBblLG0hKmTEXqQnziH6kIQ3KytvVad+LUaSBJVBfk01hVhVe0sqAmgFgAtPruhYReBl9U/sr40sG935zGEXXEZnK6c3QvzEhMTsOm0SIBu3ecuXOL7Iho8fbt/v4xIflSVJKGFlMVecV7yd+nCGTiJk5Eo+/eGeVUJMc15efX/lkcmzoBrcFAS20tVbm5hI9X/mYivEbT1Fhz2scjEAgEA8XwnrURCASCIYTVauPzz3e4BhwEA4fTUjc5SVm1Nv/8cR0Gd+afP94j/eorgyEi4/hxRQQyauTwjoIBCHesgKmpacJqtXm0L2VldciyjLe33nUdDGeCgjx/rdfUNNHWZkGtVhEZGeixfvQVja8WbZAev5GBXW7XBilCBUtXooRB4ARiNZlorKokLlGxiTVEDe7rPCA1GJ9EP0JmR3YpVtE5zre53tTJynswOK/IskxdcQnxjvPtNcjPt0AgEPQHs9nK/v25AFyyYFK/63PGNTjrPJdwPrOGhvrj7z84YsTiHEKJouJqD/fEfRQ5RCCecF5ceEkaAJs3Hx62cSTd4XK58bDA6aab5gBK7FRZmWdFw+6mwBEFExcbgkbT86T72eLCC1Lx9TVQVlbHvn3n3n0dYO8+JcpimsPFoz/ExAQTHR2MzWYnIz2v3/X1xLTZ1ylOFjYbJ47tPKM6jC3K35ik0fRYbvKMqwCQmxtobq4/rTZaHVEw9XYlOsTeoNxbnS4epzJiwnwAWip7d7jy8vcnaozyvSR/7x68orxBAh91MN66UHT6np/zopKU70XleQf7cCRdY7MqYwwG7+4jWgB8IxQR7YnMLWfcVntES/ciELlWeT6vaj5Mxp5V5O1ThMDOKJe+YGozuiZQ/QPaXYs0Oh1xk9IAJRImefJkLLZW9Fp/Dm49s6gggUAgGAiECEQgEAgGCZ8t38Hf/rGK519Y4emuDGusVhsFDltdpxOIj4+BefOUh6Xo6GCSB4GlcU8EBg0CJ5ATighk5Mhoj/XhbBEU5INarcJul6mpafJoX0qcsSQxwYPWHcGduARPHoyDKXa4gESEB6DV9jwgNBjwGxFIzNVJ+CR3PfDidKawNluwmzuKmrwd8SQtHnSmqC8rIzAoluCQeFBJ+CT1PIDkaTTeWsIvjMUQ0fUEmDZAByqQLXaszZYO2waD84qxvg6NyouIKOUzsLvrRiAQCIYDhzILMJksBAf7uuX7/oTUeEBZ5XzOTZLnDJ4oGCcxMYoIpKR4+KzAdQpaPOFGN21aCl5eOqqqGjl67NyKhMnJUUROnh4XSEmOZPq0EdjtMss/P/OYi8GIUwSSkOj5KBgner2WhZcoE+GrHK5R5xKVlQ0UFFShUklMmZzkljqnT1PcEXbvyXZLfd3h6xuI5KM8x6TvXnlGdbQaFedXSdNzFOmI0bOwqdWogH27Tm/81ukEUmPORbaBvUERMiROndZl+Rmzr0MG1FYruSd6jylyihvy9uxGpVOjD1NiPsP9JqDvIaIFYOL0KwCwN9bS2nZmTqx2izOipedIlORx8wBoKu+HOMjhzuHj1/3nY2u5Mo5U1ZRFSfZ+CtMVZ6vEaV2f765oamoXlvqd0laSo57cvXtQa9TUWPIBaM4fPo5kAoFg6CNEIAKBQDAIMJutfLxMsfc7cqSY1lazh3s0fCkprcVisWEwaDus6l9y63kEB/uy5NZ5g35y3dNxMLIsc/x4KXBuOIGoVCrCwpyRMI0e7YtTkHAuRMGAYoMMnhU8uYQ3QyAKxokkSd3ex9R6NWpvRcxyakSJT6DTmcJzooTakmJSRiqDQj7xvqj1g2Nl4JkiqSR0AV1HwgwG55W64hKSR85BklQYIruOEBIIBILhwp497Suc3fF9f8yYGNRqFTU1TcNulX5v5DicQDztlHAy7U4gw0cEUlzkcAKJO/tOIHq9llkzRwGwZcu5FXmUmzc4RCAAN988F4CVq/YMeKTG2cQlAokfPCIQgCsXK5O6m7ccpqHB6OHenF1+2H4UgHHj4vDz83JLndOnK44iexwxMwNJeGIqAKU5+89o/zajsuBHre05JkSlUuEVpkSsHDv4fZ/rt7VaXYsCqownsDeqQIbguHgCo7oeV/MPCANvJVpl/64ve20jabpDBLJvL7Is4xWjjB1G+E3E4N19RAvAuNQLsKlUirhl51d9PKqOyA53Dm+fwB7LzZx7gyJusZgpKjx82u3Y7XZUDvHtqcIMVxmrHXONEk9T3XwMa1kdppYWvAMDiRgxss9tNTYqIhA7oNV1jH9NmjYDgMKMdKxmM3KQssgmUB48340EAoFAiEAEAoFgELBmbTrV1crkss1m53BWkYd7NHzJcwzoJCaGozopc3PsmFi+Xvk41107y1Nd6zNBHo6Dqa5por6+BZVKGlQDvwNJRLiykqGqssGj/SgpdQgSooeOIKE/hIQoAxUVFfUe64Mri30YCW+cbiCnihJ8Q5Xrqqm6GrvNM9FHdUUlJKTMVPrTTaTNUEMbrJzvUyN4fEOUCR1TczNtzWe22qq/1BYXkzxSmVwYLudbIBAIusM5CTVjev9t7kGZJB89SnHFy8wsdEudQwVXXMYgmCR3EutwAqmtbaalpc3Dvek/siyfFAfjme/+558/DoAtW88dEYjdbneNGQyGZ91ZM0cSHxdKS4uJ1at7dwIYKrhEIAmDSwQyenQMo0ZFY7HYWLsuw9PdOas4xV7nzRvrtjqnTU1BkiTy86uoqhrYsZQJUy4HwNpQjcV8+p8Bra3KmGxvIhCApDGzAagv6bu4xVTdCihOka2memwNymKHUfPO63G/0Hjl/SjO7v3vPzZ1AlqDgZbaWqpyc/GKURbVhPmNx2Do2Z1DpVJhCFG+0xw9uKHXtrrEFdHS89hJUHA0ssOZZO+OL067GWNLPU4pr79/1yJJc20byKAyqGm21iDXK+O/I+fOQ6Xu+0KTZocIRFZ1nkYNT0nBJzgYq8lEyeFMkqdPASDUaySlhcdP44gEAoFg4BAiEIFAIPAwNpudDz9UchC9vJQVuAcO5HuwR8ObvLxKAJKTBs+A5eniaSeQ7GwlCiYhPgy9XuuRPpxtwsKUB+bKAR646I2T42DOBZyDgrW1zR673tvdV4aP8EYXpKxgOVUEEhARiUavx2Y2U1dS7ImuYam2YjD4YZVNeEX3bFk7VOjufBt8ffENVQatqvMGNie7O4ylTfj6hWGzW/BJ7Hl1mEAgEAxlGhuNHD2qRFo47endQaojEubQOSQCkWW5PS5jEEySO/Hz8yIwUIlnKy4Z+lbsdXXNGI0mJEkiKirII32YPWs0arWKvLxKioqqe99hGFBaVkdbmwWdTkNMtOefuVQqFTfeOAeATz/bjs1m93CP3EN+gTIuM9hEIABXXjEVUCJhzpWor5aWNvbtzwXaxV/uwN/fmzFjYgDYszfHbfV2xYTJl2CTJFQypO9dfdr7m1sVUb5W33XM58lMn3M9AGpzG2VlfTsuU7UiTNGHemFpa1WcQIDR553f437jp1yq9K+uAqu1Z9dozf+zd97xcZR3/n/PVmklrXrvkm25yN0GG2xswNjGlEBIIRAnpJBckiPhSC53CZd+OfLLhZDOJUACoYQUSqjGprngXmRbtizb6r2vtFpJW+f3x+ysLEuy2rZZz/v10gusnZ159tHszDzP8/l+PgYDuYuXAFIkjDE5CofbhkEXQ6IhZ8I25pdIRXE9jdMTMAjeiJY488RzJ8m5JQDUVx6c8nH6+iQRmQjEjuMEcmF/GxLTcVu8opsJ+vtibP3e5wnNaOGIIAgUeqN8qg8dJL2oiH5HBxqNjsq9H0zpOCoqKiqBQhWBqKioqISYnTtP0dDYRVxcNJ+55zoATpyoC3GrIhfZ2rWwMC3ELZk+PhFIT2gWxeUomNmXQRSMTJrXCaS9PbRxME1NkedKcSliTEayvJPecsVpsJGFN6HIYg8UhiTZCWRkhZRGqyW1UMp/bq8K7CTdeJjcUj+7YgYQNOEdzTVZfM4r3aMr0tKKpIXI9urQ9Ld+UKoOs+ssaHTq0FBFRSVyOXykClEUKSxI84l7/cFCrwjkcnIC6ezsw2odRKvVUBBmC7g5OZK4sjECBAsN3iiY9PT4kAnvzeZoli0tAmD37oqQtCHYyAKngoI0dLrwiCXccuMy4mKjaGrqZv9+5VeX9/UN0OOdywi3OBiAG25YgsGgo6qqlQqveDDS2b//LC6Xm7y8FL//TWTh5cFDgY2E0ekMGBKlYq9Tx96a8vsddin+xzAJEUh6RjFubzTIkX0vTGr/9g7JCcSYEoWzcxDcAtpoA1nzLy26WbLsRjyCgFYUOXlsx4THKVzhFSUcPoSgEWjrl+JWzJ6J5++Wr74dAGFogM7OqRWFuFwO30JjXNzEEWZzF28AwN7dgtvlmtKx+vuk+6MoCCMcni9Edl4xpkSRmjQXnAJooHDFyikdy2aTCsEEnW7M1wu8+6s5fAhBELCIUr+JHaFxVlVRUVG5GHWmT0VFRSWEiKLIn5/ZCcBHP7Ka1aukzN3yU/W4XOoDYyCQnUAKVSeQaSM7gcyZnRWS44eC1FQzAO3tlpC1we32+PLmI8mVYiLkCtNqb/Z8MBFF0RcHE0nuK7IowdljH1XdluoVJXTUVAe9Xa4BF/GxUoVSdN7Ek29KwdfffQ7Ei6o3ZRFIR3Xw+9vjdBMfJfW3LiM8FjlUVFRG09jYxetvHOH/fr+d73z3L9z7hUf52cP/pLlZ+U4HweSQd/FphR9dQGDYCeR8VSuDg5eu0I0U5EXynJzksHMFlCNhIsEJRHajy82ZeDEtkFyzVooiuFwiYarDMOooOtrAtdcuBODESeUXDNXVSyKttLR4TKaJozeCjdkczTo5CmnX5XHey9/vtWv85wIis9IbwXb48PmAO6vkzJZcXDobpi5aczkk0YAhOnZS2ydkS5+r5sy+CbcVRXHYmSI1Gne79LyQODtnwmgSvSEKXbx0Hzh59M0Jj1W44goA6suO4XI4aOs9AUDU0MQC2Jzcebj1BgTg0Ad/n3D7C7H2DYsv4xImFhItv+JWPIDW4+F0+XtTO1a/VwQyjgAEwNEx3N9xTunZQBPnpn+gZ0rHGvSKQDQ6w5ivF66U+rvlzBkG+/qIypHcNZN1BXg8keHcpKKiomxUEYiKiopKCDl46DxnzzYTFaXnI3esprAwjbjYKAYHHZw73xLq5kUcLpebeu+Eg5KdQBJDLAI5e+4ydgLpCJ0TSEdHH06nG51O62vP5YAc3SQvOASTvr5B+vulyYNwsIP2F/p4IwjgcXhw20ZW3aQVStWe7SEQJVjP9aDRaOloO0fSrOygHz9QaE06NAYNiOCwjFwgTC2S+zv4TiC2GitarZ5eSwvxRcq9J6qoRDI7d57iE3c/wo//5wX+/PT7vPPuSU6dbuDFlw7w8U/8nB/86G8+gbPKpZFt6K9YOduv+01PTyA11Yzb7aGiIjRRasGmKgwXyWVyc6WFnobGyHECCbUb3Zo1kgjkZHk93d3WkLYlGMjC86IwO7/l+Yv6+o4Qt2Tm1NVJnyEcXUBk5s2ThNJNzV0hbkngcTpd7PM6zPgzCkZmYWk+UVF6urv7qaoKrLvnslVeJ4uBfnotU3s+cjmkcX9U1OQiMksWXQvAYEfjhIv9rn4nHrsbNKBPNODplrZPX1gyqWNlFS8DoL22fMJt04qLiUlKwmW301h+knbrSQC0A3o8jomLDc2Zkli2umJqcSZ9XhGIB4iOmlhIY4wyoTVLcywnphjfM9Bvkf5HM7Y7h9vuxtknjbuNKVG0n5LOb228m0N7J+fcIjM0IM0BavRjC9bMqamk5BeAKFJ75DDz1qxBFD2Yo7KpPLZ3SsdSUVFRCQQhFYE89NBDrFy5kri4ONLS0rjtttuorKwcsY0oinz/+98nKyuL6Oho1q9fz6lTp0ZsY7fbue+++0hJSSEmJoZbb72VxsaRg++enh62bt1KfHw88fHxbN26FYvFEuiPqKKionJJnn76fQBuvWUlCQkxaDQaFi7KB9RImEDQ2NiFy+XGFG0gIz0h1M2ZNrITSI/FFvSMWpttyBePcTmJQNK9oouO9t6QtUGegMrMSECrvXx0vMXFXhFICOJg5Pid1FQzUVFjV34oEUErSEIQRkfCpBZ7nSmCHAcjiiJ9ldK1pbbmAHHJkeN2IwgChkTJLnhUf/ucQKqCfj3vPSOd39XnPiApO3JENyoqkcJ775fzX9/9C263h7lzs7n9tiv416/cyHe/81GuuGI2breHt94q457P/paT5cpfFAwkTU3dNDd3o9VqWLK00O/790XCnLo8ImFkYW6x160tnJDd8hoblL9w2+gVssjCllCRnp7A3LnZiKLIng/OhLQtwWBY5BRe53deruQEUB8BUUd1ddLifH5B+IpAsrwFAM3NU3MNUCLHymro7x8iKSmWBfNz/L5/g0HHksXSvVcWZAaKouJluHU6BODgJGNaZDxOOwBRJvOktl+5+sOSk4XbzfnK/ZfcVnYBMSRG0VZ1HhwCaESyFi6Y1LGWrroVANHWR78sgBgHQRAoXC5Fwpzbv5chRyfWoWYQBQZbBiY81uzSawCwtU/tmebCiJbJklG0BIDWmhNTOtaAzQKMH9Hi6JL6Wxerp9/SQdu5cwBo4j1UndozpWMNDUniR503/mcsCld6I2GOHCY2IZHuoVoAmk5cHjFqKioq4U1IVxB27tzJV77yFfbv38+OHTtwuVxs3LgRm224svmnP/0pP//5z/nNb37DoUOHyMjI4IYbbsBqHVaf33///bz00ks8//zz7Nmzh/7+fm6++Wbc7mF141133UVZWRnbtm1j27ZtlJWVsXXr1qB+XhUVFZULKTtew9FjNeh0Wj5x5xrf7xctLADg+PHa0DQsgqmuGc73FaYwMAk3ZBGIw+EKuu30+fPSpFhaWryvHZcDqV4RSGeXFbc7NJaOsvjmcoqCgeEJ2JrqtqAvkkdiFIyMIUkWgdhH/F6OJ+luasRpt496X6Cwdw7hsXlwuexYHc0Il7B2VSJyfzsv6u+UggIEjYbBvj76u4K3YOXsdeDscuDxeGjvOoPBFDnxOyoqkcB775fz3e89j9vtYePGJTz2+y/x79+4jbs+sZbNm5byi59/hj8+/hWuukqqID1wUHUQvBSHDkmT/6WlecQEIHpAjoQ5efIyEYF4F8mLwmyRHIYFE3KUipJpaAyPOBiAa9Z6ozEiPBLGbnf6HFjCzQkkz+ua0dTUHbLxqL9QghNIVmYiwGURvbZ7t7RQffXVc9EEaAwmR8LI0WyBJDa9AIDz5bum9D6PS5pbM8VMznXVZIpHEytte+zgK5fc1tEpRc0YU6M4u2c3AJo4DwkpkyusmjX7StxaLRrg8L4XJ9xejiipOXgAwOcGMtjcP+F7V151ByKgdbmoPn9kUu0DsPV7BVMTxNtcyJIrbgHAY+1hcGDyrruyCGQ8dw673N8pw/0dl5uGoANr69QcT+2Dsggketxt5AiemkMHAbAZpeuGsV8dY6uoqISekM6ubtu2jXvuuYcFCxawePFi/vSnP1FfX8+RI9INRhRFfvGLX/Dggw/y4Q9/mNLSUp566ikGBgZ47rnnAOjt7eWJJ57g4YcfZsOGDSxdupRnnnmGkydP8vbbbwNQUVHBtm3bePzxx1m9ejWrV6/mscce47XXXhvlPKKioqISDERR5Pd/2AHATVuWkX6BK8WSxQUAHD9RG/QFz0hHtssuLAyvCZ2pEh1twGCQFO/BjoTxRcHMunxcQACSEmPRajW43R66eyYeOAeCYRFI5AkSLkVeXgo6nZaBQQetrZagHlteQMiJQOGNIXFsEUhMUhLR8fEginTW1gStPYNN0veqsb4Mc0bkRZPox+lvvdFIYrZUcdcRxEgYeQKwraUCU8rkqt1UVFSCw/s7hwUgmzYt4TsPfmRMB7C5c7P53nc+hlaroatrkIYIqA4PFAcPS4tOK1cUB2T/C0slJ8fyU/URP35zudy+BVzZrS2ckJ/Zurv7sdmGJtg6fBFF0SdGzgmxEwgMi0AOH67CNhA8kXCwqa1tx+32YDZHk5oaXs9HGRkJGAw6HA5X0MdE/sYnAskPXxFIptcJpLd3wBcPGomIosjuPZIIRP6eB4IrrpBEIEeOVtET4PmU4gVrAbA2ncfpmPzfTnRJMammmMRJvyetcBEADRX7LrmdvUNqhzElmrO7dwJSNElc3OREfhqNBlOa13Xs0GsTbl+wQnKm6KiuwWMXaO2TRCAD9f2Inks/p5jNKRAjXf/2vPvkpNoHYLPJIpCx3TnGYu78tbg1GjTAzrf/NOn3DXmFGdrxRCAj+lsSgSy64UavuMXJybIdkz6Wc0gSlBiM4ws68pYuQavXY2lupqXyDMkluQCkRZXQ0aq6fKuoqISWyV+Vg0Bvr2SxnpQkPWjV1NTQ2trKxo0bfdsYjUbWrVvH3r17+eIXv8iRI0dwOp0jtsnKyqK0tJS9e/eyadMm9u3bR3x8PFdeeaVvm1WrVhEfH8/evXspKRmdv2a327FfUP3Y1yepEZ1OJ06n078fXCVoyH879W+oEmoOHjzP8eO1GPQ6PvnJtSPOyeLiNAx6HT09Nmpr2/yWAaye//jyR/PzkxXfDwkJMbS399LZ2Utq6uQyS/1BZWUTIE36KqkP/XH+JyfH0d7eS0tzFwnx41cBBAq56jIrK1FRfe8P8vJSqK5uo/JsEykpE+fL+gt5QS0jI0GxfT7eua+Jk4YB9u6hUa+lFBbSUFZGy9mzpBQFZsHsYhy90nO3pbsRc0mmYvt7PDRxUkXUeP3d3VBPy7lz5C5dFpT22OX+7mkkPjPy+lsmWM8+kdp/KsHHah3kv//7H7jdHjZvWsqD377jkhFwcXHRLFtayKHDVezec4aiostLpDsZ3G4PR45IVZ8rV84OyDHmzMnEYNDR2ztAQ0MXeXmhd24IFE3N3TgcLqKi9L5K+XAiLi6ahAQTFssAjU3dlMzJCnWTpkVXl5XBQQcajRAW/VxYmEZOTjKNjV0c2H+W665bGOomBYRz5yRXpdmzM8POOVSr1ZCdnURNTTsNDZ2kpQVvDsCfOBwumlukxeKCMBaBxJiMJCTEYLHYaG7pZs5sZV5LJqKyspn29l6iow2sWB64cV9xUQZz52Zz5kwTr752hE9tXRewY12z4TMc3/EUWo+bd7b9ns23fm1yb/RIjvKxcZO/5l67+V94/uRuhAEr5SfepXTRdaO2ET0i9i5JSODwWGmvqgJENPEe4syT/w6sWHcXHzz/YwZba+nsbCQlZfzoHnNqKkVXXEn1wQO4O7W0mk6jMWhwD7gYah0gOuvSrr7FS66n+oOXaK3Yj8vlQKebOBp3wOsEopnEtjIajYakokX0ni+jfN9Lk/5bOQYlIdF4ES2yEwgxHuqOlwGweNPNlNX9E3d3K7u2/Z6FS26Y1LGcDilCxxg9/jXXaIph7vprObVjO4dffIEt3/xPzpzeh0mfzJHXX2Hz5+6b1LFUVFRUAkHYiEBEUeSBBx5gzZo1lJaWAtDaKi12pKePrC5IT0+nrq7Ot43BYCAxMXHUNvL7W1tbSUsbXVGYlpbm2+ZiHnroIX7wgx+M+v327dsxqXbJimfHjskrPlVU/I0oijz1dDkAixencPjQB6O2SUuLprHJyjPPvsqihf6tiL6cz/+T5dIEcEdHHW+80Rvi1swMQZAWnN5+eyc1NcGbGDxyRHLQ6utr5o033gjacf3FTM5/nU6aFNi27X1qaoLvxnHihHT+dnfV8cYbkW9LeyFRRqkqZ9u2XfRagueWUF4uHau9vU6R5/uFXHzu69065lGE02LnzdffQLxgntsmSIKFg+++Q8MElUL+oqgvh1hM2Po76elxKb6/L0YjCpQyG8+gm7de24ZbM2zjbfFWnZXt3kVnbHAm9POtmcQTh83aiUXvjLj+vphAP/sMDEycr62iMhlee/0IA4MOiorSJxSAyKxZM9crAqng05+6NgitVBaVZ5uxWgeJjY1i3tzsgBxDr9dRUpLFyZP1lJ+qj2gRSEO9JJDNzU0JWGzATMnJScFiqaexoVOxIhDZjS4jPQG9PvRTt4IgsO6a+Tz73G7efe9kxIpAzp73ikBmhed5k5ebQk1NO3X1HSxfXhjq5kyLxsYu3G4PMTFGkpPDW8iSnZUkiUCaI1cEIkc8XXnlbIxGfUCPdceHV/Hj/3mBl/95gLvvWjupZ5zpEB0VS1KxV1iw/+VJCwsEjzQ+i4mbfCFeTu48dEkZuLtb2fnGo2OKQJy9DkSXiKATqCrbC4Am1gM6MJkm7zh0xarb2fXiw2gdQ7z18sPc/flHLrn98g/fIYlAurQIeSIxRWasZyxYz1kmFIFsuuWr/Gbvy2jdbt7b/jg3bPnyhO0bGpQKqKciAgG44db7+fvP70Gw9VFRvot5pddM+B77kOSIrB/DncM14MI94AIB6iuPIrrdpBUVk5iVzRXXfYp9//gpA83V9PS0kpg4cayd2ykVT0RdQgQCsOL2Ozi1Yzun397Bhq/cR29UKyZ3MmZbGm6XC60u9PdyFRWVy5Owufr867/+KydOnGDPnj2jXrtYfS2K4oSK7Iu3GWv7S+3nW9/6Fg888IDv3319feTm5rJx40bM5vCyBFSZPE6nkx07dnDDDTeg1wf24VZFZTx27jxNW9tBoqMN/NeDnyIhYfTDd2OTgWef2w0ksGXLFr8c93I//51OFz/7+SEAPvbRm0hLm1zOZ7jy3vtdtLWdZ9bs+dy4eWlQjul0uvj5Lw4DcOfHbyIzDKrSJos/zv8DB/tpbj5Fbm4xW7as9nMLL01Xt5X/978H0GgEtm69nejoqQ2slU6PZTenK95Gr0/02zVxMvzhcUmwd8vN1zNHoYsI4537oijS/LcacHrYcNX1vrgSgOMeN28dO0IcBK2/W16sxe1y0W/t5PqNH/NZ2EYSLS/X4u53sW7FNURlDE9YnY2N5eW9H2B0OoPW322vN+DssdNv7eTKO25j3nXXB+W4wSZYzz6ya6SKykxwuz288IJkJ/6xj1416cWRNVfP5ZFfvM7p0410dPaRqkY8jeCwNwpm2dIidLrJ59RPlYWl+ZIIpLyeLTcGx9UpFNR7XdLycsNX6JKbk0x5eT2NTcoVTTc2yFEw4dPPG65fxLPP7WbPB2ew2YaIiRm7AlvJXOgEEo7k5UmuAfX1yo3/qqv3RsHkpYad28rFZGUlcup0A81NPaFuSsCQo2DWrglcFIzMhusX8evfvEFrq4V9+ypZs2ZewI7lExb091Jxeg/z5q+55PZOxxDyU5fZPLXr7sprP8n+F37GQHPVmMIC2ZXCmBzN2W1SNIkm3oNHEKYkptRoNBQv20Dt/tdoOv3BhMKCWatWY4iPwdFrQ+zREDcrAesZCwN1VjwONxrD+M9EJlM8CQWlWGtOcuKDFyYnAhmQIlp0hrEjWsYjv2AR2sQ0PD3tvP/G7yYlAnHaJQH+WBEtDm9/6+ONnN27C4DZa6WIoFVrPsaef/4SrdPOtn/+nE/c89MJj+V22hGAKNOlRSDZpaWkz55N27lzHH/jNRZs3Ej3mx1kxJayZ8dzrLvxUxMeS0VFRSUQhIUI5L777uOVV15h165d5OQMW1llZEg3zdbWVjIzhx/A29vbfe4gGRkZOBwOenp6RriBtLe3c9VVV/m2aWtrG3Xcjo6OUS4jMkajEaNx9E1Lr9dflounkYb6d1QJFW63hz8++S4Ad378alJTE8bcbunSIp59bjfl5fV+P1cv1/P/3LlWX75vVlZy2E84TERikhSJYbUOBe3vWVvbidPpJibGSG5u+E/ajMVMzv+MDOk5o6vbFvTvUFVVOyBNlpnNl67aiETkarya2vag9b1twE5Pj1Rhkp+frvjr5ljnviHRiL19EI/VjT5t+LWM2ZJdfmdNTVA+t+gWpWodwGbtJCU/X/H9PRbGxCgG+vul/s4d3d9dtTVoNRo02sAtUsq4bZKbVH9/Byl5eRHZ3xcS6GefSO8/leCwd18lzS09mM3RbLxh8aTfl5JiJjMzhpYWG3v2VHD7bVdO/KbLiBMnJRfZpUsDWzVfWirlv58srw/ocUJNY6NXnOCnyNJAILetoVG5C+UN3n7ODaN+njMni/z8VOrqOti563TEiZ1EUeS81wlkTtiKQKTFaTmyUonU1XlFIGEcBSOTlSW5fza3KFdQdinq6juoqmpFq9Vw9VUlAT+e0ajn5ptW8NxfdvPCi/sDKgLJL1iENiEVj6WD91/77YQikN6+4e9UXPzU3JhXr72TD175FVqnY0xhgSwCEWKh3htNoon3IGqmPubbdMv9PHrgdbQuFzvffZLrNn5+3G01Wi2JC3Jp23sGTxsYUqLQJxhwWhz01/RhLrl0UdeGW77Ki7+6F8Haw9nKfcwpuXQhlM+dwzB1B/1l19zJ4X/+iv6ms/T1dmCOv/T1weXwCmvGcOeQ+1ufqKdqvySuLlkrCUs0Gg0Fi9fTcPgtGk7sxOPxTCjE8TgdaIFo06ULCQVBYPltH+aN//1/HH35Ja782J2cdx4hSZ+H9VQL3HjJt6uoqKgEjJB6N4qiyL/+67/y4osv8u6771JYOHJQXlhYSEZGxgj7XofDwc6dO30Cj+XLl6PX60ds09LSQnl5uW+b1atX09vby8GDB33bHDhwgN7eXt82KioqKsFg+/Yyams7iIuL5hN3rh13u4WleQiCQENjF11dVlwuN4cOneexx3fw0E9e5BvffIrPfu633Pe1x7FaB4P4CZTLsbIaABYvLlCkeOFiZAcZi8UWtGOeOx++GcnBIC1Nqqxtbw9+lNCZM00AlJQExsY83CkqlkS7dXUdOJ2uoByzyWvDnZBgIjY28iodQRKBADh67CN+n1pUBEB/VycDvYE/311eQYLLZcfhtBGfNrZIW+nox+nvxOxsdEYjLocDS3NzwNvhtrvxOCS7Y1t/F4k54+dJq6ioBI+//12yCL/1lpVERU3N8WvObGmhaueu035vl5IRRZHTpxsAKF2QF9Bjyfuvrm7DZhsK6LFCiRKcQGQRiOymoURkAUs4iW0EQfAJ1N7aXhbaxgSAlpYebDY7er02bAUK8veuXskiENkJJN+/sceBwCcCaY5MJ5B33jkBwBUrZ2E2T33hfjrcftuVCILAgYPnAi5mWrbuEwD0N1XS19txyW37vSIQD2A0TG3sr9FoyF8kxfHJwoILsXdKzwTtzWcRPR5is1PRGEXQTr02OzYuibjcuQCU7f7rhNubihJBEBH7RZorKoidlQBA//mJx/hFs5ajMUvfgXdf+82E2zvsXhFI1NTPpTXrPolbp0cjwrZ//nzC7d0OqU+joke738n9belpwDk0RGJ2NhlzhkVOmz/0AB4BtC4ne95/ZuLGuaX5J1PMxE7IC27YiDE2lp6mJqoOHiB+rnQvyYtZQfX5oxMfS0VFRSUAhFQE8pWvfIVnnnmG5557jri4OFpbW2ltbWVw0KuQFATuv/9+/ud//oeXXnqJ8vJy7rnnHkwmE3fddRcA8fHxfO5zn+PrX/8677zzDseOHeOTn/wkCxcuZMOGDQDMmzePzZs3c++997J//37279/Pvffey80330xJSeCVrioqKiogRWk8/sd3ANj6yXWXXFSMi4umuEhaBPuv7zzHTTf/mK/92x/505Pv8eprh9m7t5IzlU0cOVLN9h3Hg9J+pVNWVgvAksXKzM69mESvCKQniCKQqqpWAGbNCs/KqECTliop/zs6gi8CqayURSDKjCSZKRnpCZhMRtxuT9AmPeVK1+zs8Jl89zeGJOk+5OgZuVhlNMUQ73Xh66iuDng7XFYHADZrFwmZWWgiNC9X7m/nRf2t0WpJKZDuTe3VVQFvh6tfEt0MDvZiMEURHadGR6iohJqq6lYOH6lCoxH48O2rpvz+2bOliekjR6pUgfgFNDV3Y7EMoNdrAx7vIDmyJCKKIidPRq4biM8JRAkikCblikBkAUtumPXzDV4RyJEjVXR1WUPcGv8iR8EUFqYHNDpqJshxMO3tvQwOOkLcmunhcwLJC69zeyyysqR7a3Nz5DmBiKLIjrclEciG6xcF7bjZ2UmsWjUHgBdfPhDQY40QFrzyi0tua7VK11xxCvEsF7L5Q/+GB0lY8MHOZ32/F90eHN3S2K9iv1TAnDBHKuzR6KbnJHjdLf8KgKe3i+qqSwsLXNjRJEiilCMvvUBssRkEsLcP4uy1X/K9AIvXfhwAa/0Z+q2X/h74Ilqipu5cq9XpyF0ouXXUHn9/lJDmYjwuaTwbfVFEiyiKPhHI+eN7AJh//YYRRWzm+FRis6Vz8MjO5yZunMcNQGzcxCIQQ3Q0i2+8Sdr3iy9QtHoxLo+duKgsDr3x94mPpaKiohIAQioCefTRR+nt7WX9+vVkZmb6fv7612El4ze/+U3uv/9+vvzlL7NixQqamprYvn07cXHDF/lHHnmE2267jY997GNcffXVmEwmXn31VbQXWCk/++yzLFy4kI0bN7Jx40YWLVrE008/HdTPq6KicnnzyquHaWnpITk5jo/cMfHk7qJF+QAcP1GHtX+IhIQYtty4jHs/v4H//I/buf22KwDYufNUQNsdCbjdHo6fqAVg6ZLIEIGEwglEnkjND7PJyGCRmiaJQNo7+oJ+7DOVkjvA3MvUCUQQBIq8wriqqtERf4GgyZsjH9EikHGcKQBSCyU3kGCIEpz9cjRJJwnZkXuOX9jfoiiOeC0tiP09LLqJ7P5WUVES//iHZFd9zTXzychImPL7k5Oiyc9Pxe32sG9fpZ9bp1xOn5JcQGbPysRgCLzAcMWKYgD+8tc9AT9WKBgacvgc8cLZCSQ3R2pbd3e/Il1ZRFH0jbtywuw5NCc7mQULcvF4RN72ughECj7XyzAueIiPNxEfL1XZK1HkJIqiT0gWbgKnsZCdQFpae3C7L70orTTOn2+lrq4Dg0HHNdfMD+qx7/iwNB/6xutHGBoKnJhphLCg7N1LCgts/V6BwzQiWgDiE9KIzZYiPg+/PywCcXTbwQOCXuD8kT0gCETnJUiHmqYIZE7JaohLQADeefWXl9zWMWRDlyo5WZx+9x0cDhvR2dJconUSbiDrr/8Mbp0OjSjy1gTHctul+60xanREy2TwCWmcdvbv+dslt5VFIKbYhBG/d/U78djdoIFTe7YBkgjkYtZv+bLU5p526movfS8TvOdNnHlyDlHLb/8wAOf376Ovo40Bk+QklGzPZmAg+AVlKioqKiGPgxnr55577vFtIwgC3//+92lpaWFoaIidO3dSWlo6Yj9RUVH8+te/pquri4GBAV599VVyc3NHbJOUlMQzzzxDX18ffX19PPPMMyQkJAThU6qoqKhIE2ZPPfUeAPd8av2kLJ4//rGrWXXlHD7+8av53W/v5dV/fov/evAjfOae67j1lpXc9QlpMHOsrIbe3oGAtl/pVFe30d8/hMlkZNasjFA3xy/4RCA9QRSBXAbOCJciLVWqlu/o6JuwMsGfdHVZ6ezsQ6MRAl7FGs7I7kjV1cERgchVanm5kXu+y6IEt82F2+4e8VpakbSQ1VETDCcQaRLHZu0g+aJn+EhCbzYgaAVEl+j7zDKpxZIIJDjOK8Oim+ScyO1vFRWl0Nc3wLa3ygD46EemH1e75mrJHnzXbjUSRuaUNwpmwYLgXOs+9cn16HRaDh06z8FD54JyzGAijwXi4qJ9C9HhSGxslG+s1NikvAr+zs4+hoacaLUanxNBOLFp4xKAiHMkPXtuOPo0nJHFEw31yhOBWCw2+vuHEASB7OykUDdnQtJS49FqNTidbjo7g18IEkh2vC19f69aXUJMTHCjT1ddOZusrCSs/UM+N5JAcaGw4MAH4wsLbP0W6X+mEdEis+6mYWFBfV05APZOyZ1tyCXtP2/xEtxaaSymnWLszIUsvOoOAHpqyhkcGP/cdA4NIJhE9IlRuB0Ojr/+GnEXRMKIHnHc94IkpMmefzUAVcd2XHIezO2SCkuiTNMTgSQmZWHKksbEB9/986U3Hieixd4h9bdbM4TTPkRqUZFvXuNC5pVegxhjRgDefmV8cYvdMeRbPI01T064lpSbS9HKK0AUOfrPlyhesxSA3IRV7Hj1t5Pah4qKioo/mZQIZNmyZVP6Wb58OU1NTYFuu4qKiopieOHF/XR2WcnMTOTWW1dO6j25uSn8/OF7+Np9N7FkcSFa7chLdnZ2ErNnZeJ2e9jzQUUgmh0xlB2vAWDRwvywtXadKolBdgLxeDy+LNxwyqYOJsnJcWg0Ai6Xm54gim/OeKNg8vNSMZmMQTtuuFFcLAm4qqtbg3K88974o+KiyBCOjYXGoEVrkia6nJaRbiBpsiihKnjxJP39naSOMUkTKQgaAX28JAId1d+y6CaIzis2ayepxZHb3yoqSuHV1w5jtzuZPSuTJYsLpr2ftWvnAbB//1nsducEW18enPI6gSyYHxwRSHZ2ks+t8dFH3wqqaDgYyJF84ewCIuOLhAlSjKA/kcU2GRkJYTl2ve66hWi1GioqGmlQYP+Ox3mfE0h4P/vneWNUghWR6U/kczstLR6jcXouCMFEq9WQmRl5kTCiOOzkE8woGBmNRsOHb7sSgOf/uieg98oLhQX7d/xp3O0GbRapbfqJC/bGY37pOp+wYNuLPwXwRZM0e0Uh86/fgH2wHwCdIXrax7pu0724tVq0osjrL/3vuNs5HYMIApjnSbHCh198AWOmEY1Bg3vAxVDLxPNam277uiSksQ+xd9dfxt3O4/S6c8QkTOmzXMg1N34JAFd3K7XVZeNvKEe0XCTMkPu7o+08MLYLiEzp6tsB6KoqGzfqxto3fJ2Nm6QIBGD5hyWRzrFXX0GXpGNI7MOgi2Ggsj3ing1VVFTCn0mJQMrKyrj++uv50Ic+NOHPrbfeyqlTp7DbJ84VU1FRUbkc6O8f4ulndgLwuc9ej17vPyvidesk28adu9SKv0txrEwSgSxZUhDahviRYMfBdHVZsdulirTp2JRHAjqdluRkqaqhvSN4No5nzkgikJLLNApGpqjQGwcTBCcQl8tNbW07AMVhPhE8UwwJkrDo4kzg1MJhJ5CLo0v8jRxP0m/tJK14VkCPFWr03v52XCQCSS2SJie7GxtxBngcdTn1t4pKuGO3O/nb3/cC8NGPrB6RWT5VSuZkkppqZmDQweHDgReUhTsOh8sX7zA/SE4gAPd8+lpMJiOVZ5t5+52TQTtuMJAXcHMU4JKW6xWBNDQqzy1BbrMcaxNuJCXGsnKF9PwQKW4gfX2DtLZaAJgVxnEwAHm5UiRBo6LP7fC/hsjIkTBN3oKYSKD8VAOtrRZM0QauuqokJG245ZYVxMQYqalpZ/eeMwE91vW33o8IeCwdlJ94d8xthrxuGlr9zIpulq77BAC9NeV0dtRj75JECfWVRxC0WuatvxbHkCQC0Run76il0xnIWbgOgOrDb+F0jB195nZKv09ekE9scgp97W2Uv72dmCIp6ri/ZmKHm5SUHF/UzYHtj4+7neieuQhk4eLrfVE3b/z9f8bcxuPxoPHOT8TFjbyWOLz9XVtxCIAFlxCBXL/5i7h1OrSiyCt/+/GY2/T1SnNCHsA4BeeWWauvIjkvjyGrlWMvv4y5RLqf58Wt4N3tj016PyoqKir+YNJxMP/+7//O9773vQl/vv/976PXh7+aV0VFRSVYPP/XPfT1DZKfn+qzTvUX69YtAODgwXMMDKjiu7EQRZGysloAliwuDG1j/IgsAhkYdASl2lO2Uk5PD8+KtGCRlioNltvbg2cHW1kpi0CygnbMcER2Amlp6cEW4OtdY2MXDoeL6GgDWZnhZ8PtT4ZFCSPzmJPz8tBotdhtNvraAyu8cfRJx7b1d5JaGDnX6bHQx3tFNxf1d2xyCtFmM6LHQ1ddbUDb4JRFIP0dY9rjqviPhx56CEEQuP/++32/E0WR73//+2RlZREdHc369es5derUiPfZ7Xbuu+8+UlJSiImJ4dZbb6WxsXHENj09PWzdupX4+Hji4+PZunUrFoslCJ9KxZ+8+tphOjr6SEuLZ+MMxwkajcYXCXP4qCoCOXu2GafTTUKCieys4MUOJCbGcvddawH4wx+243S6gnbsQKNIJ5AmBS6UN4S/2GbjxsUAbN9eFnCxcDCQXUAyMxOJi5t+dX4wyFewE4jsHJMbxuf2xchjwZaWyHECedsbBbNm7fxJRVUHgri4aD5yx2oAnnrqvYBeR+bOX4MuWRJ3vfPyz8fcZmjQCsxcBHLtxntxG6PQAK8+/2OcvdK4y9LTSOGKlZgSEnDapcgSY1TMjI5160e/jVvQoHW7eOOfY38ut1M6vikukVWfuAuAvc/8mah0SdDg6J7cvMqWj30bEaC/l0P7Xxp7I29ES0zszJ65rtr8BQBsTedpbBjtej0w0IcsmTZf5M4hF1r0dDWQOW8eidk54x5Hb4hi1sotADSe3DlmrI7NKt2PRc2kl1AB0Gi1XLX10wAc+OtfiM+V+iQ+Opdj7z6juoGoqKgElUldwWpqakhNTZ30Tk+fPk1+fv60G6WioqISKVgsNp5/fg8A935+w6hIl5lSVJhOTk4yDoeL/fvP+nXfkUJdfQcWiw2DQce8eZHjpBAbG+UTYwTDDaRJrvxTUNVOIEhNMwPQEUwnkMpmAOZe5k4g8fEmUrxOLDUBdgOp8kbBFBWmo5nigF9p6BPGjifR6vUke5/n2wMYCeNxehAd0iSILs6AITq8J95nisHb346LnFcEQfBF4bRXVwfs+KIo+uJ3XJ5B4qYwxlOZGocOHeIPf/gDixaNtNn+6U9/ys9//nN+85vfcOjQITIyMrjhhhuwWq2+be6//35eeuklnn/+efbs2UN/fz8333wzbrfbt81dd91FWVkZ27ZtY9u2bZSVlbF169agfT6VmWO3O/nz05Jb4Ke2rsNgmLlbYOmCPAAqTjdOsGXkc+q0FAUzf37ujBxWpsOdH19DcnIczS09vPzPg0E9diBpbFDOeGA4DkZ5IpDGRu9CeRj389q18zEa9TQ0dlFxRvlx4Od8UTDh7QICUmwwSGIhpQlwfG5CYepyMxaR5gTidnt49z0pmuSGDcGPgrmQj3/saqKi9JypbOLAgXMBPdb1tz0AgLOzmbMVe0e97nPnMEzfnQMkQe6itR8HwN7QDB4Rl8uOrb+bBRtuAMDlkEQghujYGR0rNi6JjAWSkKZy/yu4XI5R23i8v4uOSWDprR/CFJ9AT1MTdRVHAHD2OiZ1HckvXExURgEAu1//3ZjbCF5hQ6x5ZiKQ1WvvRDTFoQFe+9t/j3rd2tcBgAjExAwX7LgHXXiG3IiiSJ+lhQXX3zDhsW66/ZtSrI7Hw6sv/L9Rr/dbvd97zdQL4RZsuIGEzCxsPT2c2f8eACZDCjq7gz3vPzPl/amoqKhMl0nNaufn509p0Jybm4tWe/lWCauoqKjIPPPsLgYGHZTMyWK917XDnwiCwLprpP2+v/PUBFtfnsguIKWleX6N4gk1giCQEC8NUIMhApGr6IJZSRmODDuBBEcE0tVlpbOzD41GYPbs8J+UDDSFRcGJhJH3X1ScHtDjhAOGceJJAFILpYiSjurAiUBc/dLElMNuIykv8oVOsvOK02IfNeEmR8J0BFB04x50gUey0Y1NTwr6wujlQn9/P3fffTePPfYYiYnDk5OiKPKLX/yCBx98kA9/+MOUlpby1FNPMTAwwHPPPQdAb28vTzzxBA8//DAbNmxg6dKlPPPMM5w8eZK3334bgIqKCrZt28bjjz/O6tWrWb16NY899hivvfYalZWVIfnMKlPnlVcP0dnZR3paPDfftMIv+5RjT85UNuFyuSfYOrI57RWBLJgfvCgYmehoA5/7zHUA/OnJdyPGsVFJTiBylIoinUDCPA4GIMZk5MorpHiAMm/0qpKRRSCzFBADmZOTjEYjMDBgx2YLvCOoP1FmHIz0HNfcHBlOIMfKaujqshIXF80VK0MbC5mQEMPtt10JwJ+eejegoqaFi69Hk5CCALz14k9Hve4YGgBAHzXzgoQbtnwFt95AQpQ0trX0NKE16ClZew0ALqf0TBAVHTfjY33oY9/BLQhonQ52vP7b0Rt43TlMsYkYoqO54uN3AvDB838CAUSXB/fA5BzLNt3xH4iA2NvF8aPbRrzmcjl8i4wXR7RMh5U33AOAta6CttaRY2OrVXoWEQUBrW54jtfRI/Vrv7Udt8fJvOuun/A4xigT+UukyJjao9uxXxSrM2CTRCCCbupzyVqdjtWf/CQAe59/CsGgQRA0xBozOLj9iSnvT0VFRWW6TPkKVlBQwGc/+1nuuece8vLyAtEmFRUVlYhh5y5JmHHPPdcFrJp8/boFPPvcLvbuq8ThcPmlijCSkCelliwuCG1DAkBCQgydXVZ6guEE4o2DUULlXyAJtgjkjDcKJj8vFZNpZtakkUBxUQaHDp2nuro1oMc573UCKS4K/4ngmSKLEtw2Fx6nG41+WMidVlTM6XfepiOAzhQuqzR53W/t9DlhRDJ6swE0ILpEXDYX+tjhGE05mqW9JvD9PTjQQ0pxZEfvhJKvfOUr3HTTTWzYsIH//u/hCraamhpaW1vZuHGj73dGo5F169axd+9evvjFL3LkyBGcTueIbbKysigtLWXv3r1s2rSJffv2ER8fz5VXXunbZtWqVcTHx7N3715KSkbnu9vtduz24YXovj7J8tjpdOJ0KmsRKRK40AXk7rvXIgjitP8O8vucTicZ6WZiY6Lotw1RebaJOZexgLT8lCQCKSnJCsk5vmnTYv701Ht0dPRRdryGlSuUfY+z9g/6hOcZGfFhcd248Ny/mPR0yb2vu7sfi8VKTExUUNs2Xdxuj88tIVz6eTyKi9PZtfs058+3hHU7J8PZs5LzYlFRWth/FkGAjIwEmpt76O4ZCvv2yoii6IuDycgM73P7QtK9TqDNTd2KafOleGv7MQDWXTMfmP6zh7/46EdW8cIL+zl5sp5Dh8+xdMnkxieXuv6Px9U3fpndf/kh9rZ6zp89RH7hkuH92b0iEEOMX/qkZNWt6M9Jzhi9PU0UX7kKjcGA0+nE45QEE8aouBkfyxSTSPKsZVjOHeHk7r9x3eYvj5x7dkttiI6WjrX4llvZ99wzdNRW49G60Lh0DHYPEDUJB5SComXoU7JwdTbz7j9/yfyFwyKLXstwkU50dMKMP9eqNXdx4K0n0A4N8MpffsQ9//rY8LF6vE4ggmbEcYa6pL+hpaeZ3EWLiU6YXDs23/YNfn9sB1q3m9de+Am3fuRB32u2fq8IRGuY1mead/0N7P7Tn7B2dOBw96PHRExUJn2WBva8/xxXXv3RKe8Tpnf+z+Q4KioqymbKK4Vf//rXefLJJ/nhD3/Itddey+c+9zluv/12jEZ1YUJFRUXlQkRR9C0Uz5kTuAnYefOySUkx09nZx+EjVVy1evTE/+WKKIock0UgkxxMKomEBClDNChOIGocDABp6ZIIpK3NEpTjnfHaK5dc5lEwMsXFwXECqfaKQGYVR74IRGvUoo3W4h5047Q4MKYOVz+lFgc+nsTpjSbp7+8kfaWyF8gmg6AR0JuNOC12nBb7mCKQwDqvyKKbDtJKI7+/Q8Hzzz/P0aNHOXTo0KjXWlula0t6+kiXofT0dOrq6nzbGAyGEQ4i8jby+1tbW0lLSxu1/7S0NN82F/PQQw/xgx/8YNTvt2/fjsk0M+trlalz+EirtxLXgEZo44033pjxPnfs2AFASoqBftsQf//7NpYuiXxHq7EYGHDS0iJN3DfUn6KjPTQOOfFmDR0d8NZbu0LWBn/R0iJZ5cfE6Hn//XdC3JqRyOf+xZhMOgYGXPz1b6+SkR4T5FZND4tlCIfDhVYrcOzYPo4fD1/HLotFKhI4duysX65hocLt9lDtHVs0NpzhjTfC39nEaJQWdru7h8Y9/8ON/n4Hg4MOBAGOlx3gVLkyIjeHhiSXhO6efl5++VUMBuU6n4uiyHvvnQAgJsYWNt/b0tJkjh5r45FHXuTOj8+b0nundv4LOIwxGOw2/vHUd5h3xZd8r/RbLRiAbovVL/3i1paQGC3dN3t7mhksTPDt1+0YQgPUN7T65VgxqVfRfe4IWoedxx/9D3IKr/W9JojSteLEyXPU1ksxNOaFi+jYt5e2pnNkps+jbO8xuqMmV+QUn30NXZ3P4+lp49k/P0JiijT/bO2T5q08wHvv75nxZwKIyVrBUPUuLDUneOGFZ4iOllyJWxr2SccShBH9l21LI5kEei1NuFLTptS32tQ50HaGcwde51XjQrRaacm0+vwZAJwecdp/q7hFi+h/9x2aqk5RULCSGPMssBxk9+uP0tU7s2eTQF//BwYGArp/FRWV4DBlEch9993Hfffdx/Hjx/njH//IV7/6Vb785S9z11138dnPfpZly5YFop0qKioqisNiseF0uhEEgZTkmdv8jYdGo2HdNfN54cX97Nx5ShWBXEBLSw8dHX3odFpKFwTfCjrQBEsEIoqiGgfjJSdbEsHIdtiBprJSFoFkBeV44U5hgbToWVvbHrBj2AbsNHsXjoovAxEISG4g7sEBHBb7SBFIQQEAXQ31eNxuNAGIe3T2Sc4ENmsnqUXX+H3/4YghweATgZAznAWd4u1va0cHQ/39RMXOLCd6LJwXOK/MLVrl9/1f7jQ2NvK1r32N7du3ExU1ftX5xTE8oihOGM1z8TZjbX+p/XzrW9/igQce8P27r6+P3NxcNm7ciNlsvuSxVfyL3e7ksSd+AcAXPr+RW25ZOaP9OZ1OduzYwQ033IBer6e5xUht3S602kS2bNnihxYrj737KoGj5OWl8OEP3xqydlTXaDhftY+EhEy2bNkcsnb4gx1vnwBOUVycFTbn1cXn/sW8sa2Fkyfrycuby4brF4aghVNn//6zwHHy89O4+eabQt2cS7K4qZuXXv4lPT0ONm7ahE6hseDnz7fi8RwiNiaKO++8TRFReVXVAjU1++nuHhz3/A83jp+oA46Rnp7ArbfeHOrmTIk/Pnkaq3WQRYuvoKhQueLKs2ebGRg4SHS0gXs//9GwiUtevtzCJ+7+JXX1feTllVJaOrHz/ETX//FIThjgwAv/i9bazqKFBeTkzgfg3IFfAFBUXOK3e9y5Px8GwNLTyC3f/S6JqVJxYOX7kkvgshWrWLrcP8f6U8v7WGtOYms+zOYv/T80Gg1DQ/2c92o2N226hcQk6fiDV1/N/931cSzt9WSmz2Nu7hwSVqZO8khb+M1/v4unp53epl3c/al/A+B0+U7aDkkRLf7qP7drI7/6znVoHXYGOvdxxxeluJu336zh9FnQGowjjtX6Rh0uu5PeniY+9I1vYE6f/HfVuuZKHv/hTeg9brTus2y55RsA/KX1bTqaISY2ftqfy3nddfz+2FEsnfVQsJLSuRs5V/8cBruNzDSRpSumfq+f7vk/VWTnSBUVFWUz7bv94sWL+eUvf8nPfvYzfve73/Ef//EfPProo5SWlvK1r32Nz3zmM4p4cFZRUVEJFO0d0sNSUlJswAdX69Yt4IUX97N7z2n+3fUhdDplTsD4m7LjtYDklhIVZQhtYwJAQmJwRCC9vQPYbNJCbXb25S0Cyc+XBsc9PTYsFptPiBMozlRK1sRzVScQAPK9IpDu7n56eweIj/d/9bpcCZiSYg7I/sMRQ4KRoZYBnBbHiN/HZ2SiMxpx2e1YmptJyvW/mG6wwyr9d6iHxOzL4zyXInisOCz2Eb+PiosjNiWF/s5OuupqyV5Q6vdjD3VL9wtbfyepRUV+3//lTllZGe3t7Sxfvtz3O7fbza5du/jNb35DZaXkBNDa2kpm5rBLXHt7u88dJCMjA4fDQU9Pzwg3kPb2dq666irfNm1tox2ROjo6RrmMyBiNxjHdO/V6vSIWjyKJl14+RHd3v3ch7Aq/jRPkv+XC0nxAchO7XP+2Z85Iz0+lpXkh7QP5ubG5uUfxf4uWFgsgRRSG22cZ7zqWn5fKyZP1iur/hkbJXaOwIC3s25yXl0p0tIHBQQdtrX0UFIx2qFICtbVStMCs2RkYDMqYM5D7urtnSDH38VbvNSQ3N0UR7b2QrMxEKq2DtLdbKZmTE+rmTJsjRyWXm+XLizGZoifYOnjk5KRy4+alvPb6Eba9dZylSyfvVjjV83/Nuk+w/83/QzNgZc/bT7D1C78CQHQ5EYCYuCS/nJ+i20OURnKR7XM0cvTIy2y+5avSix7JnSMh3n/X+Q994rv8+X8+inZogHOVH1C66Dp6uiy+15OSM9DppGPpU1JYftuH6Tgixea5+11Tase1t97PO099G2dnM4MDFszxqdgHvWIBrdZvn0mv17Pg6js4895zdFYd8+3XPiQ5rGh0Bt/vRFHEabEjoIFokeScqX1Pk5IzSJ97JZ0V+zl3bDv6j34LuCAmyGia9ufS6/Vc+fE7Of/mQQCixTiM6Xk42urZ88bvuGL1bdPar7zvQF5PlXatVlFRGZtpe685nU7+9re/ceutt/L1r3+dFStW8Pjjj/Oxj32MBx98kLvvvtuf7VRRUVFRHB3eKJjU1MBXVy5ZXIAp2oDFMkB9fXAcCsIVp9NFf/8Q3d1WDh48B8CSxZEXBQOQ6BUg9ARYBCJHwaSmmjEaL+9BQHS0gaxMaVGuJoBuFABdXVY6O/sQBIHZswMXKaUkYkxG0tMTAKipDUwkTNX5FgCKi5Rb5TVVJFECOHpHihI0Wi3JedJiYkdNYCJhHH1DAGhjdAFxGglH5P6+WHQDkFog3a86agJjRT7UJYluPFoXRpMyrPGVxLp16zh58iRlZWW+nxUrVnD33XdTVlZGUVERGRkZI6x7HQ4HO3fu9Ak8li9fjl6vH7FNS0sL5eXlvm1Wr15Nb28vBw8e9G1z4MABent7fduohC/b3joGwN13rQ2IUHz+fGniu7auA5ttyO/7VwKnTzcCsGB+aJ0A5RhF2VFPyTR4XfCUFA2Zm5sCDLddCdTVSYIEWUAUzmg0Gp8rwvmqsaPIlMBZ77P/7FnKGW/l5UnnR3e3cq7xDd45hVwFXUNksrxuqM3N3SFuycw4cECaH7vyitkhbslo1q6VHDlOnW4I+LEyZ0ku9p1NZ32/E12SW2JMTLxfjuHsdSAg4LDbcOi7aKg6AoDH40EjigDEmv33XUjPKEaIkeaeK8t3AmC1Svc+D6DTjRS4zVmzlr7eFl9bp8KS5Ztxa7UIQPlxyWrEZpOcVNH697l27fX3IAJat5vmJklMPzQgjWe1+mFxu3vAheDR4PG4SZ8/vUKH5Vd/BADR1ovbJcVAObwiEEPUzIqDpP6W7pOOXgebbv8mmsR0rrvtgQneqaKiojJzpiwCOXr0KPfddx+ZmZncd999LFiwgPLycvbs2cNnPvMZHnzwQV555RVeeumlQLRXRUVFRTG0d0gikLRU/wwiLoVOp6XQOwFTUxOYhVEl8NjjO1h37XfZuPmH3HzrQ2zfcRyQRDKRSLDiYOSJazkK5XKnoDDwkSQAZ7xRMAX5qZhMo6u3L1eK5P6vCUz/V3mdQGbNujyiYAD0CdKkkPMiZwqA1EJJlNBZW+v344qiCHbJOdCUluD3/YcrBrm/e+1SH1xAiq+/AyMCcdvcAEQlXh4uN8EmLi6O0tLSET8xMTEkJydTWlqKIAjcf//9/M///A8vvfQS5eXl3HPPPZhMJu666y4A4uPj+dznPsfXv/513nnnHY4dO8YnP/lJFi5cyIYNGwCYN28emzdv5t5772X//v3s37+fe++9l5tvvpmSEjUWMJxpa7Nw5kwTgiBw3bX+d/sBSEqKIyMjAVEUqTjTFJBjhDMej4fTFdIi0oIQx0Hm5kgihObmbtxuT0jbMlPkBdw8r7BCCcgL5cGKcfQHShKBwHB0YpWCRSDnznlFILOVE78pfw8tliGcTleIWzM5Ghql72Gugq4hMpEgArEN2DlZXg+Epwhk3lzJEbK2tp2BgdFjUn9SVHIlAM6+CwSaHmmMFBPrH+dbe5ckHrD0NKGJ89DbVgfAgM2C7JtvNvv3Oh+fXgBAa/0pAPqt0ucTNaOX/zLmzMHaL91vXP1OPK6pPaPozdL3uObsAQAGbdL8t0br36IxszkFj0GaCzvlFZzITiA6w7CbjaNHEsRZe9soXDm9mMWSuVfhATQinD27HwCXYxAAQ/TMYlqTc/NwuPsRRQ+i00NRwRX82w/eZMlyZUcFqqioKIMpi0BWrlzJuXPnePTRR2lsbORnP/sZc+fOHbHN/PnzufPOO/3WSBUVFRUl0t4u2eGlpQUnZ73QuzAaaHeCcEUURV559fCI3xkMOhbMz2XZssi0vA+WCKSpSZrsUFLlXyAp9NrvBlpwdf68NJk6e45yJiSDgSx4qw7Qta6qWur3oqLLRwRi8DpTuKyjJ4BkEUhHAEQJHrsbjSBVCyXkXUbOK2YDCOBxeHAPjpy4D6QTiOgR0Xik/o5VRX0h45vf/Cb3338/X/7yl1mxYgVNTU1s376duLg43zaPPPIIt912Gx/72Me4+uqrMZlMvPrqq2gvcMt59tlnWbhwIRs3bmTjxo0sWrSIp59+OhQfSWUK7NlTAUBpaS5JSXETbD19ZAcM2RHjcqKurgObzU5UlN7nUhAq0tLi0eu1OJ1u2r0ukUpEFMVhJ5Bc5dw/8rxtra/vHCW6DEdEUaS2Tnq+VYoIRBZNK1kEIgtvihTkApiaaiY6yoAoDkc1hTuNDd7CEgXOKWRnSU6gzc09IW7J9Dl2tBqXy01WVlJY/g1SUsykpcXj8YhUnm0O6LEWLN7gc5doajwDgOCNaIk1+0ek1O11GLL2tyOYRMSBPlwuB3190vVGBEwxCX45lkxu0VIAbF1S/9n6LdILY7hz6KOiMGem4rBLc4muvqm5gSRnzwKgo1Fy5xgc8IpA9P4vXjIlSS5N9eclNxWHVwSiv8Cdw+Kdm+vrayFvydJpHUdviEIwSc/mleXvA+BySOKSqKiZPbMLGg3ps2dh65eug86+wAqdVFRUVC5kyh5N1dXV5OfnX3KbmJgY/vSnP027USoqKiqRQLsvDibwTiDABU4gl6cIpLm5h64uKzqdljdee5CYGCOCIEz8RgXjE4H0BMcJJDvbP1URSsf3XQuw4EqulsrPU161VCApCKAIRxRFqrzim1nFl48IRBulQ2PU4rG7cfY6MCZH+V5LCaAowdUv2e4ODlhIWxSZYr2xELQa9GYDzl4HTosDnWm4YsrX3wEQ3bhsTgRBg9vlJKU4z+/7Vxmb999/f8S/BUHg+9//Pt///vfHfU9UVBS//vWv+fWvfz3uNklJSTzzzDN+aqVKsNjlFYFc47U9DxTz5uXwzrsnOR0EW/VwQ3Y/KSnJRqcLbcyYVqshKyuJuroOGho7yfRGCioNi8VGf/8QgiAoyhkwOzsZQRAYGLDT3d1PcnLghFf+oMdio69vEEEQyM9ThghEjk+UnfSUxsCAnS5vVJ6Szm1BEMjJTebcuRYaGjopLg7vKBtRFH1zCrJDkpLIyla+E8jBQ3IUzKwQt2R85s/Lob29l4rTjSxdErhIZ9ldQuuwc+r4O6SlFfiqpM1+EoHYWnqIFpLRxxsQrZK7xLkz+xG8rhweQUAzhkPHTJi/+HpOvf0UGvsQ/f0WbP3S+SqME9GSNW8efb2tpKQV4+x1YEiKGnO7sSiccyUd5R/g6JVELUMDUhGkzuB/EUhG3gLqWmuxtEnjY8eQN6LFOCwC6a1tJ4pERIMbQ3T0mPuZDOa0PKy1p2ipOQmA22lHAKJMMy/uzJo3n76OVmLjUnH2OojOUKNZVVRUgsOU7zYTCUBUQocoinR29oW6GSoqKl7kOJj0tCCJQOSF0VplTsDMlBMnJXvFkpIsYmOjIl4AApAYbCcQBU2MBRJZhFBb2xHQ4yi5WiqQ+OJgAtD/HR19WPuH0Go1iqnA9BeyG8jFkTCyE0hXfR0et9uvxxzqkq5d/dZOUouK/brvcEcfL/W346L+TiksAMDa3o7d5t9ru1xxZLN1kVp8+YhuVFTCBat1kKNHq4HAi0B8TiAVl58TiCwSnR0msW7y83NjY9cEW4YvDd5n0rS0eIxG/1q9BxKDQUdmRgKgjEgY2ZEiMyNBMf0sx8G0tPTQ3z8U4tZMHXlRPy4uGrN5+guHoSDbG1HSpABhQmdnH0NDTq8wTnliuKwL+loJrkJjceCAJAK54oo5IW7J+MyblwPgi3QLJKYkyW21vuoIVuvw/Tkuzk8iJbskQk2ale1zlzhzaif9/V43GT8LQABycufj1mgQgNMn3h1259AZxtw+a958+nqlAhhH79ScQEovcFNpa63CPiSNWy+MaPEXs+dfDYC7vxePx+Nz5zBGDUe0uKySu2bcDN3KcrxuKv1d0vOz6JL6JTpm5vP6mfOH+9s5xf5WUVFRmQmTuuMkJSXR2Tn5AVNeXh51dXXTbpTK1Ono6GXzlv/mIx/7GS6XfyfoVVRUpkeH7AQSLBGId2G0oaFLMbmw/uSkVwSyaOHlI1aUnUCs/UMBvfbLk9bZqhgBgAKvOKCry0pf30DAjuPLTVZgtVQgyfeKcALR/+e9VtZ5uSkYDFM2zFM0+gRpcuhiUUJ8RiY6gwG3w4Gl2b/WvL0NkpvOkKOPmETlTQjPBLm/LxbdRMeZiU2WvvOdfnYD6WuUFpdsti6SsnP8um8VFZWJ2bevErfbQ0FBKrm5gb23l5RkodVq6OzsU3QMyXSQRaL5+WkhbomEHJ/SoGQRiPeZNC/A520gyPM6atTXK0AEUqusKBgAs9lEaqpUIV2tQDcQudhBiY6X2dnKiSiRhWQZGQkhd2iaDhnpCWg0Ag6Hy+ccoySam7tpaOxCq9WwPIyjkmURiOzoFUgy8iQxbm9bLdY+6f7gAYwXRIxMF1uPhSijdF3MXbEAc5rkwNhaW86ALAIZx51jJmg0GvRm6Vp2/sxenzvHeBEtshMIgLN3aiK+xMQMPHppPFte9rYvVkZvnHn/Xczc0vV4AK0oUnXuEG6nN6LFK65x2u1E6aT+zlg0e2bHWrgeAGFokMGhfkSXNLce4wcRSNbcefRZpJggR8/gjPenoqKiMlkmdcexWCy8+eabxMdP7oLX1dWF28+VgiqXJjk5DrfLjcPhor6+U1FZlioqkYgoirR3SA/caUGKg0lLiycmxojNZqehoeuyuw6cuAxFIGZzNBqNgMcjYrHYSEmZuUXhxdhsQz6nkRwFTo4FApPJSEZGAq2tFmpq2lm8uMDvx7DZhujxxvzkKih7PRjEmIykpyfQ1ub//pfzzIsVHAUjiiLOoeHKEqfLhdvpxjHkQHR5xn2fJkaakLV3DeIYHClMSMwtoL3qPM1nzxGb4r9Ftf42C9Ekgl4cdcxIR2Py9nf30KjPnpxXiLWrm5ZzVaQWzWwi60J6GzsxEIcbBy6nG5zKGq/powyXhcuXSuSyO0hRMABRUQaKitI5d66F0xUNpAVJlB4O1NZJC+kFBeGxkJ7rFVE3KVkE4nXRUKI7XW5uMvsPDH+GcKbOK1QJFwHTZJlVnEFHRx9V1a0sWqSssbiSHS99TiBN4e8EIovglFrcoNNpSUuLp7XVQnNzT0DmXQLJwYOSC0jpglxiYycf+RFs5pZkIwgCLS09dPf0k5QYO/Gbpsns+VdTd/B13P299PVKzw2in9w5Gg6cxCik4HDYSMibR07RUipqT9Hf1ciAzQKAoAuM21NS5iw6LZ10NFaSmFEAjB/RklpQiM0m3XcGO/qnfKyoxHSc7Q3UnT+Cyy6JGgxR/o84MRqiIDoGBm1UlL+Hx+lAAKJN0rNt49FT6PTRuN0uMhbM7Bm7oHAJbkFAK4qcOvEeeKTxcmzczO8RcampOJH6aagrcMVkKioqKhczadnhpz/96UC2Q2WGaDQaZs/O5PiJOirPNl92i78qKuGG1TqI3e4EICUlONnDgiBQUJDGqVMN1NS0XVbXAat1kJoaaeC2cGFeiFsTPDQaDWazCYvFFjARSKN3UikhIYaYmPCdMAg2hQVpkgikNjAiELlaKjFR7fexKCxI84pA2lQRyEU4hxz88KYHR/3+6O/2XvJ9WRlZ3HjDjbSebua3P/n1Ra+mgD6F53/8BvCG39q66bpN5GQnUlszwPYx2hzJJCUmcfvNt9PXaOHRm3570at60K/i5V/t5uVf7fbbMdetWceswjiaW5xjniPhzndf/zGGaP/nTKuoBAOHw8W+fZVAcEQgIEXCnDvXwqlTjaxfVxqUY4Yau91JS4tUZVsQJgvpsnBC0U4g3ufSvDzlLeDK7iVKiIOpVaATCEBRUQb79p/l/PnWUDdlyjQ1ex0vFVjskO0VrihBBNLodRPKUXBxQ1ZWEq2tFhqbuhQndjp46DwAV1zhP3F5IIiNjSI/P4Xa2g4qKhq5+qq5ATvW3NL1bEdylzh/Zp/0S41/XGo6K+vJNqfg0khC//mLrqPi3WcQhgaxWqTrvHaciJaZUjBnJZ0V+7Fb2nHES/cSvXFsYYZGpyMqWXrN3e9GFMUpCe7Tc+fT2N5AT2u17/NERQdGIBWXmoetvoLm6hN4XE60gCk2AYC2k+dJ1y/E4elHM0OnIY1Ggy4uEbGvm6qKDxA8UhFNjB9EIIIgEOuNqBPtILpFBK1a4KCiohJ4JiVx9Hg8U/4pKgpfe7FIZc4cKc/u7Fn/WnWrqKhMHdl2OSEhJqh5vkWFkvCjxjuBdLlQXl6PKIrk5CSTlBQc0U24kOiNhJHdOvyNXLWoxImxQFLgjSSRc+f9jRoFc2nk+Ct/X+uqvDbWsxQsApkull4LAOY4M5oAZBSPRWysVN1l7VeerfJM6e3rRRRFooxRREUFR+gVFyPdHy/H/lZRCTVHjlQxMOggJTmOuXOzg3LM+bKtekVDUI4XDtTXd+LxiMTFRpGUFLgK4qkgP8s1N3fjdo/vyBXOKNkJRI6DUYITSG2dFGVUoDARyKxZ0nNzdbXyRCCNvjgY5Z3bWd44mNY2S9jHgstCslwFXkNk8r3Xkjrv91QpuFxuDh+pAuDKMBeBAMybKz+7NAb0OD53CaD+7CHpl36IaBFFkSGvq0ZUqrT/vIJFuAUBAWiuOS4dyhCY8d+CxTdI+3c5sfVK56rhEhEt8QXpeDweBFGDe3BqseKz5l8FgNvaMyqixd9kFy4GwNrZAG6pnaYY6Rpo9c5Z6sz+mXtPyJDWNFvrTvkWTs1m/8zLpcwuwOkcQkDAaXVM/AYVFRUVP3B5hZ1HOKoIREUlfPBFwQTZellemK4O0MJ0uHI5RsHIJHhFID0BEoE0NkkDKiVO+gaSQq/gSs6d9zeN3oGskqulAonc/7IDkD9wOl2+Sb2iYuU6KemjDHz39R/7/u10uXjrrbfYtGkTet34j/6iKNLyYh0aJ/zH099BnzBcnXRu315e+t53SCsu5p5H/+CXdno8Io1/kayJb/63TWSWhv+kpL9pfa0ed7+Lr/3uGxjTo32/bywv57kHvoY5NY1/efYvfjte1VPSpOM1W1fyqavu9dt+g4U+KjAVcyoqwUCOglm7dl7QhHbz5+cCcOZME263B602OMcNJXIUTH5BWtjER6WlxaPXa3E63bS395KZmRjqJk0Jj8fjGw8oUZyc63UCaWrqxuVyo5thlXCgGBx00NZmAYbH9Eqh2OtAWlXdNuVK8lDT5BOBKK/gISU5Dp1OwOXy0NpmCetIm0gocJAdepQmAjl9upH+/iHM5mhKSoIjQp0J8+fl8Oa2YwEXgcCwu4S9uwUtoPFDREtXfR3RhgQAkmZJ6zQXukvIx9IFSASSkpKDW6dH63L6jmWMHl8UmzVvHrbyDuLi03H2OtCZJt8H8xdey7t8D60o4rb1oWU4osXfzFu0nrM7n4dBm+8eExubRH93N1q35BQZX+CfOZz82SvpOXvY138AcXH+uXZlzZ9P9/utJKcU4Ox1YEhQXS5VVFQCjyoCiSBKZBHIuWY8Hk/QJpdUVFRGIzuBpKUGNytUro6vHaM63m530tE5wL59Z+no6KPPOshNW5ZHREb4Sa8IZOFlLAIJmBOIgnOSA0lhQWCcKGSGq6WUO1EWSOT+H+taN13q6ztxudzExBjJSE/w236DjSAIIyIzBKcGrV6LIcqAXn/pSR1DghF7xyDioIghc3gfmXNmI+Chp6EOnUGHRjvzBRRLQytarQ6Px01O6Sz0l2HMhzExioH+fsRBz4i/WeZcqb+tHa2IHhfGmJlnKzv6B4gySpVZGQuK1VgVFZUg4vF4LhCBBCcKBqQFK1O0gYFBB7W17YqOOpssdWHopKDVasjKSqKuroOGxk7FiUDa2noZGnKi02nJylJW2wHS0swYjXrsdietrZawFbbX10vnbkKCifj48au2w5H8/FS0Wg39/UO0tfWS4bW7D3dcLrdPeJOjQBGIRqMhISGKzs5Bmpq6w3a87vF4hucUFFzgUFAg3VdksaFSOHhIEt2vXDFLEWLQeV4B6+mKxoCLyrILF3O2vgKtN/JDq5/5+Kjm0EHiEyWxTXTqsPgiMbOY7r5u37H0l3DnmCnGhDRcnU2+Y11SBDJ/Pqc+2E1cfDr27kGiMyc/7oyOioUoEwwN+I5likmYUdvHo6h4BW5BQCuKIIoAxJqTqT18yNffsVn+OfbCxRsoe/1R32fyAMYo//y9MufOpe6fL5CcUsBAWy8x+ZeXk7WKikpoCOndf9euXdxyyy1kZWUhCAIvv/zyiNcFQRjz53//939926xfv37U63feeeeI/fT09LB161bi4+OJj49n69atWCyWIHzC4FJQkIbBoMNms9Pc3BPq5qioXNZ0dEgikNTU4Aos5DiYhoYunM5hK7/a2nY+dPtP+eOfTvKf336Whx95lccef5vf/2F7UNsXCFwuN6dOS1UCixbmhbg1wSfQIpBGNQ5mTORJoM7OPqzWQb/vf7haSrkTZYGkwCt46+yy0tfnn/6v9DqpFRdlKKqC0Z/I7h/OXvuI3ydkZqIzGHA5HFhaWvxyrI5KSbw3ZO9DHx2cOJRwQ++t/HFYRlrBRseZiU2WBGCdtbV+OVZbhWQD7XQOEZeuXldUVILJ6dONdHVZMZmMLFsavNhcrVbDglLp2fiDvZVBO24okcWhBfnh5aQgL87Kz9VKQhY85+WlhK2LxqXQaDS+5+n6MI6EkQVM+WF27k4GvV7nc0moqlJOJExrqwW324PRqCc5WZkLcQneZ8lwvra0t/fhcLjQajWKFtrL95Wmpu4Rc23hzuHD0hjgCgVEwYAUy6rXa+ntHQj42sbc0nUj/u2PiJb6Y8eJiZXuOfoLXB7yZq0YsZ3BOHOR/3ik5c4d8e+o6PGLExMysxgYkvq5r37qLjexKTkj/h0TFxixqEajQRubMOJ3ZnMqNUcOEx+fCeA3V420jELcF0QDiX4sso6OM+NEmr+yhvF1W0VFJbIIqQjEZrOxePFifvOb34z5ektLy4ifP/7xjwiCwB133DFiu3vvvXfEdr///e9HvH7XXXdRVlbGtm3b2LZtG2VlZWzdujVgnytU6HRairw2jGokjIpKaGlvD00cTGqqmZgYI263Z8Qk16uvHWZw0IFer2HWrAyWLCkA4FhZTVDbFwjOnmvBbncSFxftm3y6nEhMDLATSLPqBDIWMTFRpHu/3/50o5BR42AuTYzJ6Ov/Gj/FX+3xVmkvWVLol/0pEYNPlDBSBKLRaknOl5yWOmqq/XKs9tPShKRHq5xJVH/jE91c1N8AKQUFAHTU+uc+3XRMOr+dnoHLVuSkohIqZBeQ1avnYDAE14z1husXAbDtraOI3srJSKZWXkgvCK8xgfw816DACf9ab/ReocIiSi5EjoRpCGMRiO/czQuvc3eyzPI6DZ1XkAhEjjnKykpUrJNyYoK0aC1/lnCk0VvckJ2VpEghmUxqqhlTtAG32xPWopsLGRx0cNobqxJMEepMMBh0zJolLepXnAlsJEzx7JW4LxgX6Q0zc3vwuN301XnvMwYRrXH4fF+4eMOIbY2mwAnPZs27asS/TbHjCzMEQUAbK13/Bjv7p3ysrIJFI/4dZw6ck21ixvA8jYgUB9NVWY9Wp0cURHRxM4/zkTEkXHAv1vj3umWI98659I6eA1BRUVEJBCF9yr3xxhv57//+bz784Q+P+XpGRsaIn3/+859ce+21FBWNfHAxmUwjtouPH150raioYNu2bTz++OOsXr2a1atX89hjj/Haa69RWRl51TByJEylKgJRUQkpoYqDEQSBQq8bSI13ws7j8fDOuycBuPmmYp547Ev8708/jVarobXV4murUhmOgslT7OTNTJCdQLq7pz5gmwi73ek7P8LVOjmUFAQoEqavb5De3gFAFd9cCt+1zg/9PzjoYN/+swBcu37BjPenVORqJWfP6AmJ1AJp0sUfzhQetxtbi3RticlUfiTZdBlPdAOQWij398xFIKIo0lsriaUMiWoMjIpKsNm1+zQA1wQxCkbm2mtLMRh01NZ2cKayKejHDyYul9u3yB+uTiBNClk4vBD5OUuOHVUisgikfhpVzsFCjpgoCDMB02SR46aU5AQiR5RkK3i8leAVgcifJRxpiJDiBkEQyPMWHdWF8bXkQsrL63G53KSnxSsqzmv+PMld4vTpwIpALnaX0EdFz2h/7VXniTZK/RyVPNLp42J3iajowIlAFiy6jgtlv5cSgQDEZHhfH5p6oUBJ6TUj/h0XF7jvee6s5b7/FwWB/q5OBJck/DAkGP1a6JCaPWf4H1r/CrjNXrGn1u0/0YqKiorKpZjyVUyr1dLS0kJa2sgBYFdXF2lpabjdbr817kLa2tp4/fXXeeqpp0a99uyzz/LMM8+Qnp7OjTfeyPe+9z3i4qSb6b59+4iPj+fKK6/0bb9q1Sri4+PZu3cvJSUlYx7Pbrdjtw9PyPb1SVX9TqcTp9Ppz4/mV4qLpQWRysqmsG5nqJD7RO0blUDT1m4BICkpJujnW35eCuXl9VRVtbDumnmcOFlHe3svJpORosIEnE4nBr2e4qJ0zp5r4dixaq67rjSobfQnZcelBbIF83Muy+92rncy5fiJOoaG7H7Nea3zTkbGxBgxmfSK7t9AXP/z8lI4cPAcVVUtft1vba00eZqcHIder1F0vweSvLxk9h/AL/2/d28FdruTjIwECgtTI6rPp3LuC7FSlYuzz4Fj0I6gG76eJOZJkQLt1VUz7p/642XEmKRrV0JhZkT195SIkfrXM+RmqG8QbfTw0Cwx13/93VFTjV6QJiLjCzMuq/4O1rP/5dSnKlOjrr6DuroOdDotq1eNPfcQSGJiolh3zXx2vH2CN7cdY97cnInfpFBaWnpwOt0YDDoyMhJC3ZwR5CrZCUSO2FGwE0henlcEEsZOIHIcTLgJmCaLskUgyo09TfQKisNZYCa7ZuTmBM4hIFgU5Kdx5kwTtbUdsG7i7UON7Py7ZGmhopwA58/L4QWgoqIh4MdKSC/AYpXiUIxRsTPaV31ZGfGJUnGuIWl0tIwhIRV3lxStGm0KXCGEyRSPxxiF1j4EQOwEIpDk2TlQBXqtCY/Lg0Y3+TnF2XNW4REENF63ObM5cELG0sUbOPHmY4AU0VJ/7BgJCVJ/G5NnJuC5mKKSK2k9sRMAjc6/Yo20eUU4j4BOG4Vr0IkuWhWDqKioBJYpi0DGsxC12+0YDIYZN2g8nnrqKeLi4ka5htx9990UFhaSkZFBeXk53/rWtzh+/Dg7duwAoLW1dZRgBSAtLY3W1vEHJw899BA/+MEPRv1++/btmEwzswcLJB0dUiV4+alaXn/9dUU95AUT+fxQUQkEoijS0iJNKJw+fYzW1jNBPf7goDS5tW//CTLSh9jxdi0ARYVx6HQa3/kfF+cB4NXXdjE0VB/UNvoLURQ5cvgcALb+Zt54440Qtyj4SDnGWiwWG3/849/JzvZfRcHp09K5FBur5c033/TbfkOJP6//Vqs0KX7ocAVvvOE/i/VT3n43RXNZntOTRe7/w0cqmGk3vfraeQByc6Ii5ly/mEmd+yLMF4rQiTref+N9BnVDvpf6uqT7WvWJEzM+L5vfeZu1sz8OwJHKYwxUD03wjshljiafKI+RvW99gNUwHOtla5HGKY0VZ2bc3+1797As5XoATtWdoa/lyIz2p0QC/ew/MDAQ0P2rKJfdu6UomGXLioiNnXnW/HS4cfMydrx9grffPs59X7kRvT64kTTB4sI4DX+Kov2BvPjZ3NyN2+0Ju/aNhyiKw04gShaB+OJgwnOhXHKxkdqm1HhTOQ6mvqETh8MV9Oir6dDU7HWoyFKwCCTR6wTS3I3H4wlLZ9TWVgsAmZnKcaIYD9mpR77fhDvHjkkxnkqJgpGZ53UCqTzbjMvlDmiMUN6s5VjOHwPAOEN3jrpjR8lOWAkMOz5eSGr2HFq9IhBTTMKMjjURMcnZDDVL8asTuXNklpbQdLoGgzGGgbZeYrMn/13V6nQIMWbo70Vk5kKaS7YzazZurRat2w0aLXVlxzB7RTf6Mfp7JixYvIEP/v5TBECr9+++M0pmc2bnIWJik7HUtpEyL3IF2ioqKuHBpJ/Kf/WrXwGS/dnjjz9ObOzwRd3tdrNr1y7mzp3r/xZ6+eMf/8jdd99NVNTIiZN7773X9/+lpaXMnj2bFStWcPToUZYtW+Zr88WIonhJgcS3vvUtHnjgAd+/+/r6yM3NZePGjZjNwY13mAp2u5PnnqtgYMDFyivWkJZ6+Vpsj4XT6WTHjh3ccMMN6PWq0lIlMPT3D/HTnx0E4I47biE6OnACubFITT3Pu+89zdCQlo2bNvGHxx8G4K67bqDXUu07/6NNpzhy9G/0WQW2bNkS1Db6i5aWHvptB9HptNxzzx0YjZfn9/rosUHefa8ckWS2bNkw8RsmgaXXxhN/ehSAa9cvZcuWjX7Zb6gIxPU/L7+BbW89js0m+vU71Nb+HlDFokWzFfvdDAYFBY28ue0x+vtn1v8Oh4vf/K4MgHs+fROlpXl+amF4MNVzv+PdZuzNA6wsWU5syfBzZE9TI4+9/CIuSw+bN21Co53eZJzo8fCHp58hZqk0GbV287oRecmXG90ftDFQY2Vx0ULMi4YXIQb7+vj188/itPZx/fr1GGcgQv/Tiy9g9mZrX3ndavTm4D6XhJJgPfvLrpEqKhczHAUzL2RtWLGimOTkOLq6rOw/cI61a0LXlkAy7FgRfovoaWnx6PVanE437e29ilkMbW/vZWBAchpUcjSk7ATS3t7L4KAj6OPziWhu7sHlcmM06klPV+YcXmqqmbi4aKzWQWrr2pkzOyvUTZqQSIiDMZuNaLUaHA4XnZ1W0tLC7/xp7/BGJaeF71z6ZMn3OvXU+TkONhAMDTk4XSHFqSxdUhji1kyNvLwUTCYjAwN2amvbmeUdxwSCBYuv58S2xwGIMk1fBCJ6PNQfL2P+lluBsUUJRSWrfe4SE0W0zJTM/IXUyCIQ86VdeGKTkrENHMZgjKGjsm5KIhCQ3FR6+49LjiABFqIZzCm4e9oQdHrqy46xauUK6fcJ/r2vm80peAxGtA47WoN/Rdw6oxG7s48Ykuk+16CKQFRUVALOpEUgjzzyCCCJJ/7v//4P7QUTvwaDgYKCAv7v//7P/y0Edu/eTWVlJX/9618n3HbZsmXo9XrOnTvHsmXLyMjIoK2tbdR2HR0dpKenj7sfo9GI0Tj6hq3X68NaPKDX68kvSKW6uo2a6g6ys5Rvt3chHo+Hg4fOs3RJ4YwWe8P976iibHp6pMmEuLhozOaYCbb2P7O9Ey5NTd0cPVpLT4+N+HgTV14xm+3bq33n/1JvNUB1dRt2uztk1Ykz4XSFlG1eMieL2NjwdWkKNGvXzufd98rZt/8sX/nyjTPenyiK/OzhV+nstJKfn8q9n48c4Zw/r/+ziqXJiI6OPr9+h5qbJTvS3NzUiOn3QCBPBnV1WRkcdGE2T88C9PDhamw2OynJcSxeXBiWFXT+YLLnflRKNPbmAVwWx4jtU3Lz0BkMuBwOBro6Scye3mRF0+nTvvxbTZSWKAXee/xJVKqJgRrrqP7WJycTk5SMrbuL3qYmsufPn9b+uxsbGeiwoNMZQAPRiSYEzeXnFBjoZ3/1Wq0yFl1dVk6dkqzMQym80Om0bLxhMX95fg9vbjsasSIQX5xGGDpWaLUasrKSqKvroLGxSzEiENkFJDc3WdEOMmazifh4E729AzQ0doadQKGuXjp38/JSFPscKggCRYVpHD9RR3V1W9j18cWIougTgShZ4KTRCGRkJNDU1E1jY1dYikA6OiShbCQUKebnS3PsdfUdYeu8IlN+qgGn001qqllxkUcajYZ587I5cqSa0xWNARWBZGWX+NwlTDHTvze3V1fhHnJhipH6eixRwsIlG/jg7z9BAMwTuHPMlJIFa6nZ9zIwsRMIgEfnAqCvYeouN7nFy+itOg7TLBKZCsk5c2jvaUNw67E0t2COl1yo/O0EAmBKysLeWoPe4P+5ZsE7BWJr7fX7vlVUVFQuZtKjuJoaKUfu2muv5cUXXyQxMXiD1ieeeILly5ezePHiCbc9deoUTqeTzEzpAWH16tX09vZy8OBBrrjiCgAOHDhAb28vV111VUDbHSpK5mRRXd1G5dlm1kTYBM/f/7GPX/7qdT7ykdU8cP8toW6OygyorWvnlVcOs2njYkpKskPdHL8iVzqkh2gAnpJiJjY2iv7+IZ588j0Arl1fOspCMTXFTFZWEs3N3ZSfqmfVlXNC0dwZcfKkFGOzcGF+iFsSWlavmoNWq6G6uo2Wlp4ZTyy//M+D7N5dgV6v5fvf+3jYVcuFC3Fx0aSmmuno6KO2tt1vDhJyXrycH68yNjExUaSnxdPW3kttbTuLFk3vOvD+zlMAXHPN/LCeyAsWxmRpRsLRNTKiRaPVkpyfT9u5c3TU1ExbBFK58z3iE6T7viHR/5M1SsPg7W971+hInNTCQmzdXXTWVE9bBFK5830S5P5OMF6WAhAVlVCx54MziKLIvHk5pIZ48evGzUv5y/N7+OCDM/T1DWA2R554WnYCCdc4jZzsZOrqOmho7GTlylmhbs6kGHZXCT9hzVTJy0vh5Ml6GurDTwTi6+cwPXcnS1FROsdP1FFTE/4uCZ1dVux2J1qthoyMhFA3Z0ZkZyfR1NRNU3M3y5aFV+yH2+2hq8sKQGoYClSmSk52MlqthqEhJ+3tfWF97pSVSes4S5cUKjIqfsH8PLq7+9FqNYiiiHPIMeJ1p8uF2+nGMeRAdHlmdKzCpTdTf2YvS5bejGPQPq19VB86TJx3zKWJ1uJyu2DQNWIbgy6GpFlXYO1uJjdnybSPNRmKi1djSCvGEBWD6BYmPJYhMRpcMNRhm3K7rrzqTk7te528osB+JoC1132ef5w/RWb8EjrjqtFq9QhaAY/W4/djr7r2s7z38s9ZetXH/b5vQ1IMdks/gl47YVqBioqKykyZspT/vfekBUWHw0FNTQ3FxcXodNOrCOjv7+f8+fO+f9fU1FBWVkZSUhJ5edJCSl9fH3//+995+OGHR72/qqqKZ599li1btpCSksLp06f5+te/ztKlS7n66qsBmDdvHps3b+bee+/l97//PQBf+MIXuPnmmykpKZlWu8OdOXOyeHPbMSrPNoe6KX7n7XdOAPDuuye5/6s3qYs1CmRgwM6TT73H83/9AJfLzc5dp3j+uX9TdGXRxciVDqEa5AqCQEFBGuXl9Zw6LVUfbrh+0ZjbLl6UT3NzNydO1ClSBFLhtbcsXZAb4paEFrPZxKKF+Rwrq2HPBxV89CPTFznW1LTxq1+/AcCX/mUTJXPCa5I03CgoSKOjo49Dh88zNOSgs8uK6BG5/vpFk8rCttmG0Gg0PqGNKIo0NnQCkKvgqrRgUVCQRlt7L9U1bdMSgbhcbnbvkaz6169b4O/mKRJDiuSo4uix43F50OiGn7VSCgp9IpA5a9ZOed+iKHJm107yM1ZJxwpAxY7SMCZLfeC2uXAPudBGDV83UgoKqD1ymI7ammnv/8yuncQnSOOqQFRIqaiojM9wFMz0RFz+ZNasTGYVZ3C+qpV33j3J7bddGeom+RVRFKmVnUDyw1OwkOMV9zY2doe4JZNHXswvKhzfRVcp5OZKIpB673N2OCE7gYSrgGmyyOdJdfVoN+Zwo6lJEt2np8WPKpZRGtlZkvNAo7eQIJzo7unH7fag1WpISoyd+A1hjk6nJTc3mdraDmrr2sNaBHL0WDWAzwFYaXzxCzfwL1+UIokdg3Z+eNODY2539Hd7/XTEhfxi/yMz2sPsYmktqqGqnsdu+sM4W8UCc/jxru/O6FiTQ5of+eEbY/fdiC1z89mwPhNBTBq3ry9NKd37XJQ/O533TpUlWIC8nPUAdLR38PjNjwfoWEt57dAeXmNPgPYP8++6BkO0Ok5XUVEJHFNeQR8cHORzn/scJpOJBQsWUF8vVWF/9atf5Sc/+cmU9nX48GGWLl3K0qVLAXjggQdYunQp3/3u8I3w+eefRxRFPvGJT4x6v8Fg4J133mHTpk2UlJTw1a9+lY0bN/L222+PiKt59tlnWbhwIRs3bmTjxo0sWrSIp59+eqofXTHM8S7YnYswEUhXl5XTp6UF3+7uft//qyiHnbtOc9cnf8Ezz+7C5XKj1WpoaenhtdePhLppfqW93Zt5mhq6zNPCwuHJz+TkOBYvLhhzu0WLpN+fOFEb+Eb5GYfDxfmqVgDmqRmKXH31XECqOp0uLpeb7//gb9jtTq68YjYf+2hkOmb5k0JvZeRjj7/NV+//Iz/80d/50Y//wauvHprwvf39Q3z04w/z+Xt/h9MpVYn09g5g7ZccAZRsTRwsZs+WnN9276mY1vuPn6jFYhnAbI5micKykgOFLkaHxqgFEZw9Iyte0mfNBuDsnt2IojjlfbdXVdHT2EhCknTNVkUJoNFr0cdLIjB750g3kPTZkjjz3Acf4HG7p7zvvvZ2mk+fIj5RGhvo49X+VlEJFrYBO4cPSwUv16wND3fOzZuleZc3tx0LcUv8T2dnHwMDdrRaTdg6qeVkyyKQ8BMhjEdNJDmB5EoxDuEoAqmvl9qUn6dsEUihVwRSU6MEEYgkxsrODs/rxVSQoz7CUQTS4Z0bS06OQ6uNjCI+WWgoR5CFI3a70zdnvlShY1wlOiMkxkuOvJZeS2gbMg16+6TvarxZOY49CQkJgDL7W0VFRSWYTLn0/j//8z85fvw477//Pps3b/b9fsOGDXzve9/jP//zPye9r/Xr1084gfyFL3yBL3zhC2O+lpuby86dOyc8TlJSEs8888yk26V05ngXRNrae+np6ScxAtTWAHv3VY44X3bvqfCb9b5K4KmubuPB/3oWj0ckMzORf/vazbS2Wfj5I6/ypyffY8uNyzAaIyNPXY6DCWUe64XVWtddW4pWq8HjGb2AtNhbOX/qdCMul1tRVTDnz7fgcrmJjzeFdQVGsFhz9Tx+89s3OXasBpttiJiYqCnvo/xUPefOtxAXG8V/PfgR1W1pEly7vpQ33jyKRiOQnBSH0+WmsbGL4yfquOOO1Zd87+mKBiwWGxaLjbe2H+fmm5b7omBSU81ERakxPBNx6y0ree4vu9m3r5Kz55qnbO+90xsFs3bNfEVd/wKJIAgYk6MYbLZh7xrCmBrte23h5hvZ9cRjNJ8+Rd3RIxQsXzGlfVfueh+ApLQCAPRjZCVfjhiSo3D2OnB0DWHKGX5un3fttbzz21/T3VBP5a6dzLv2uintt3KXNE5KzSyWjqP2t4pK0Dhw4CxOp5ucnOSwWUDfeMNifvfoNsrL62lrs5CenhDqJvmN2lppMS47KylsHSZlcUpjU/gt1I6FKIq+mJLCMDmHZ0KuVwTSUB9+IhB58T7H20alIheiNLf0MDBgx2QKX/HpsAgkKcQtmTnyZ2hqDj+XIXluLDWEBVL+Js8r1gpnEcipUw04HC5SkuPCVhg5FfRRBr77+o9H/M7pcvHWW2+xadMm9NN0qPcXHTU1/OmLnyclQXK7vHrrOjb+QFkR9qJbpOlv1RgMBq65KZ/1Xx57LS4csHZ18ugnPk6KWXJyXfahlaz79sYQt2r66NV5PxUVlQAz5bvkyy+/zF//+ldWrVo1QpU5f/58qqqq/No4lekRExNFTk4yjY1dnD3XwpVXzA51k/yCXOVbXJxBVVUre/ZU8KV/2RTiVo2NKIq8tb2MkjlZvmqIy50DB8/h8YgsWpjPLx75DFFRBhwOF88+t5u2NgsvvXyAOz++JtTN9Asd7d44mBBmf1/oBLJhw+Jxt8vPTyU+3kRv7wBnzzYzf75yYlUqzjQBMG9ujiKrBPxNXl4Kebkp1Dd0cuDAOa67buGU9yFb95YuzCc5Oc7fTYxIFi8u4K03v+M7B/fvP8sD33iSysqmCd979myL7/+feXYnN25eqkbBTJGcnGSuv24hO94+wdNP7+RHPxztHDceHo+H93d6o2DWq1EwF2JIGRaBXEhsUhJLbr6Vwy/+gw+e/vOURSBndr6PVmcgyiBdX9Q4GAljchS26r5RTiBGUwwrP/JRdv/pj3zw9FPMXX/tlO53Z3a+DwjExkiLSqrziopK8Ni1Wxq7XrN2ftg8p6akmCkuyuDc+RbOVDZHlgikThIr5BeEr5OC7ATS1NTti0cIZzq7rPT3D6HRCD4BhZLJy/OKQMLMCcRmG8JisQGQo3BBQmJiLImJMfT02Kit62B+GLt1ynEwORHgBJJ1QRyMKIphc8+B4ajktBDOjfmbAu99Rr7vhCPHyqQoySVLCsPqfJgugiCMissQnBq0ei2GKAN6fWgLCpsryhHwkJgqFapGp8YoM95D7waXjp6qxrBuf+uZUwh4SE4vACBKqf2toqKiEiSmPOrs6OggLW10FYDNZouIB4tIocQbCXM2QiJh7HYnhw5Jdrr/9rWb0Wo11NS2h6XdIcD7O0/xwx/9nZ/+78uhbkrYcPx4LQBr1szzVbcbDDo++xmpqvXPT+9kYMA+3tsVRVu7BYC0tNBVO8wtySE+3sTckmxKF4wv7BAEgYULJTeQ4yfqgtU8v1BxRrK3nDcvO8QtCR9mGgkjV/sVFSq/2i+YXPj8U1Ii3X8bGruw2YbGewsw8h5dX9/J7j2nfU4gOTnKn2wPFp/auh6Ad98r92WqT4by8gY6O/swmYysXDErQK1TJsZkyUnI0TX6HF51111otFpqjxym6dSpSe+zs66WjupqEhKla7YmSos2KjyrtYONQe7v7tH9veKOj6KPjqbt3Dmq9u+b9D6tnZ00nDhOTGwSAlrQgN6sVhmpqAQDl8vNvr3Ss9g1a+eHuDUjkWPUzp9vmWBLZSE7gcg2/eFIenoCOp0Wp9Ptq44PZ2prpHFBTnYyBoPy79fZ3oVya/8QfX2DIW7NMI1eR4qEhJhpOTmGG0VFUhGUXFwQrjRGkBNIZmYCgiAwMGD3CYrChXZvgVQoXXL9jXyfke874cixY9UALFuqzCgYpVF/7Cg6ndFX6KBUt8uoFK8jpUODpTl815Pqjh1DKnSQBFmq26WKiorKpZmyCGTlypW8/vrrvn/LCx+PPfYYq1df2vZcJXjMiTARyOHDVdjtTtLTE1i6tJAlSwqAYXeQcEPOWW5u6QlxS8IDURQ5fqIWkKrmL+TGzUvJyUnGYrHxt7/vDX7jAkA4VDuYzdH842/f4He/vXdCgZ4cCXPC+zdSChUVXhHI3PCtMAo2a7wikH37K3G7PVN+f7V3sld1MJo+iYmxpHsnuSa6B8uvL/AKtf789E4avDnxkWDbGiyKizNYs2YeoijyzDO7Jv2+N948CkguIJGwuOFPfKKEniHEi64l8ekZlG6SIiE/eOapSe/z5JtvAjBr+VrpGKorhQ9ZdOPqd+Ieco14zRQfz/IP3Q7AB39+asIoTZlTO7YjejwULZbGZ3qzEUGjCvZVVIJB2fFarP1DJCTE+O7x4cKsWRlA5IlA6rwV2QX54esEotVqyMpKBKCxITyLWS6kukZaxA+XOKOZEhVlIClJWuBqDqPYDNmRIhLECDA8jqypCW8RSCT1u9GgJ80btyKLW8KFDjkOJiWS4mCkYg2LxUZv70CIWzMau91J+akGAJaoIpCAI4oi9WVlmOOl5yslFzoYk00AmOMzqDp4IMStGZ/6smPExCajEbSgEdDFqSIQFRUVlUsxZRHIQw89xIMPPsiXvvQlXC4Xv/zlL7nhhht48skn+fGPfzzxDlSCgiwCqahonPRkcTgjiz3WrpmLIAisXTPf+/vToWzWmPT1DbB//1lAGhREQv/PlNradnp7BzAa9cz1VsnL6HRaPvfZ6wF47i+7w6oqZzrYBuz090uVvKkhrnaIiYnyua5cikWLCgDJCUQp5+vAgN2XwTovjG1mg83ChfnExUXT2ztAeXn9lN8vO4FEymRvqCgpkZwOzlSOLwIZGLD7XD++9R8fxmjUc+ZME/v2VgKqE8hU+bTXDWTbW8doaZ1YgGm3O3nn3RMAbNm8LJBNUyS6WD0agwY84OgZ7dJ11d1bQRA4t2cP7ZOIg/S43Zzcvg2A/HnLAeVWSAUCjUGLzuvScXEED8AVH78TrcFAY/lJ6svKJtyfKIqc2PYGAMVLrwbUCikVlWBy+LDkYLnqyjlhF/kxa5bkBHLuXGSJQGq944L8MH+GzfU+3zU2hb8IRB4XFEaQQ2BmpiTCaW4Jn4XyxkbZkSIyBOBFheHvBGK1DvrmneQoFaWT7Y0SDTe3ZNn1KDWELrn+xmQy+oo+5DmpcOJ0RSMOh4ukpFjy88JXGBkpdNbWMNBrITFVKq5TcqGDPl4aL5rjM6gOUxGItbOTrvp64hOltQV9vEEtdFBRUVGZgCnPSFx11VV88MEHDAwMUFxczPbt20lPT2ffvn0sX748EG1UmQalpXno9VqaW3p8FRxKxePx8IHXTvfqq+cBsHaN9N8TJ+rCTnn97nvluFxuAJxOd8REnMwEOQpmwfwc9PrRiugN1y+isDCN/v4hXnn1UJBb51/kSoeYGCMxJmU8/JfMycJg0GGx2GhQQFUaQOXZZjwekbS0eJKT40LdnLBBp9OyetUcAHbtnppIrrd3gO7ufiC8qyiVgBwJU1nZNO4258+3IooiqalmiorSueWWFQAMDDoAyM2JjIngYLFgQS4rlhfjdnv4y192T7j9rt2nsdnsZGQk+NzFVIYRBAFDSjQwtighOS+PeddKcW57n/nzhPurPXoEa0cHUXFxxMZKi0mGeGXcI4PFpSJ44lJSWLzlJgD2Pj2x+0rr2bN0VFejNRhITi0AQK/gCUkVFaVx5Ihkw75iRXGIWzKa2V4RSHNLz4SxdUqhr2/Q9wybH+bPsDlepzcljLl8IpAwF9ZMBTkSpiWMHFubmr1RkBHgSAHDIpAa7/kTjjR53TKSkmIxKWTOZiJyvCKipjATmPniYELokhsIZMFhbV34nefy/OvSJYUTugKrzJz648cByC5eCCh7zCWLQOLiM6g9chi3yzXBO4JP40mpkEfubyWLblRUVFSCxbTKUhYuXMhTTz1FeXk5p0+f5plnnmHhwoX+bpvKDIgxGbnyitkAvP/+5PPaw5EzZ5ro6rJiMhlZukSyssvMTGRWcQYej8her0AkXNi+o2zEv3vCLJMzFJSdqANgyZKxrQi1Wg033yQtgJ4+3RC0dgWCDgUOcg0GHfPnS24aZcdrQtyaySFHwcz1Oi6oDHPttdL9eMfbJ6YUCVNTKwkGMzISImYyLFTM9TmBjC8CqTwrvTZntiQY+cSda3zVwoIgRIQ1cbD59KfXA/DKq4d9grzxeOMNKQrmxs1L0WjCq0o7XDAmeUUJnWMvEl699VMAnH73HTrrai+5rxNvSq4UCzbcgKvPCYA+Ub3OXIgcwWMfp79X3/VJBK2W6kMHaTpVfsl9nXhTiu4sWbMWj026DxjU/lZRCQr9/UNUnJGeU5ctLQpxa0YTH28izVvBfP58a4hb4x9ksUJaWnzYi/DlhdpwdwIRRdEXE1kQiU4gzWEkAmmKLCcQ2Tmmvb0XqzU8XV4jKQpGRv4s4RQHI4oinZ3e+bEQu+T6G7loprY2/JxAqqqle/vcuepcWTDoqJZcMRNTpPg/JbsvykUasXEpuOyOCcecoUB2IU3JlITWqruoioqKysRMeda7r69vzB+r1YrD4QhEG1Wmyfr1pQC8v1PZIhA5CmbVlbMxGIZdJNauldxAdn9QEZJ2jUVrq4WysloEQSAmRnp4svSoIhBZib7YGzsyFrPlfOoqZU9GDttdKmuQu3yZ9AC91xtFEe7Ik+tqFMxorlo9B7M5ms7OPo4cnTimQaamRrZ8Tg9U0y4bSrwTLg0NXdjGcYM6e1ayYZ8zR6rIzcxIZOMNiwFpksxo1AehpZHFsqVFlJbm4XC4+Ma//5m+vrGdwjo6+zjkteq/UY2CGRdDileU0D22KCF91mxmXXU1osfD3/7zm1g7O8fczm6zUblrJwClG7fgskoiELVqZySXcgIBSMjMZOENmwD4x399m56mxjG3czudnHp7BwALN2/BYZHGZ0quSlNRURLHj9fi8Yjk5CSTkZEQ6uaMySzvuOvc+ciIhJGdT4sU8AybmytHNox9zwwXenr6sVoHEQQhouIEssLRCcQb35ETIS6AcXHRpKZK0R+1YeoG0tQsCSVyIkR4A8PnT1MYxcH09g7gcEhOAikpkeXeKotA6urDTwRS5xWmFORHjoAvnJGLIaINCYCyx1yaKC0agwZB0BAXlx6WkTByf8eapHg9dU5BRUVFZWKmLAJJSEggMTFx1E9CQgLR0dHk5+fzve99D49n8tXHKoFhzdXz0Go1VFW1Ul8f3pMMl2LPB5LTxxpvBIyM/O8DB85htzuD3q6x2PG2ZAO3ZHEBubnSA4nlMncCaWntoa3NglarYcGC3HG3KyqWJiObmroZHFSuoKy9XRKBpKUqK/P0mrXzAThw8BxDQ+Hf/xUVkovCvHlqdcPF6PU6rr9uEQDbtpVN+n013gn0SLJ8DhVJibGkpcUjiiJnzzaPuc3Zc9Lv58wZPoc/c891ZGYmsmnjkmA0M+IQBIHvPPgRkpPjOHe+hQe+/uSYVvdvvVWGxyOyeFF+xEy4BwKfKKHbjugWx9zmxm98k4TMLHoaG3nu376GrWf0okrFe+/isttJzs8nJUNyBNMYtWiitIFrvAKRnUBc/U7cdveY21z/r/eRWlREf2cnz97/VfraRkc+nt+3l8HeXmKSksmbvwTR5QEB9HFqlZSKSjA4fEQS4C5fFn4uIDJyJEzEiUCKwl8EMhzZ0D0lx75gI7uAZGUlRpQwedgJJDzcEhwOF+0dklNCJLlSyIKsqurwjKYedl+JnD73XVuaw0cEIhdIJSbGjBkLrWTk6LG6MBM6ud0e6huk+f/8gsgR8IUznbV1aLV6NG7pHFeyKEEQBPRmacxojs8ISxFIl1cEohNMgLJFNyoqKirBYsoikCeffJKsrCy+/e1v8/LLL/PSSy/x7W9/m+zsbB599FG+8IUv8Ktf/Yqf/OQngWivyhQwm6NZsVyq7n9/Z/hZeE2GlpYeqqpa0Wo1XLW6ZMRrc0uySUkxMzjo8E22hZrtOyQRyMaNS0hMiAFUEYjsAlIyJ+uSERNJibEkJcUiiqJvMVqJdHQo0+5y1qwMMjMTsdudHDh4PtTNuSR9fQO+ibu5JaoTyFhs3rwUgJ27Tk1aVCXnNhdGkOVzKJkzR4p5GUsE4nC4qPZOispOICBVcL3w93/nX764MTiNjEByc1P45SOfJT7exOmKRr7xzT+P+A6Iosibb3qjYG5UXUAuhS5Oj8agAY+IwzK2o405NZW7f/Er4tLS6Kyt4S9fv59Ba9+IbU5sk6JgFm2+EVev7EphUDOqL0Jr1KKLkxbaxnMDMcXHc9fPf0lSbh69ra08e/9X6e8aOdl/YtubACzcuAlXvyQm0ZsNCFq1v1VUgsER77hUHoeHI7IIJFLiYORnKiWIQNLTE9DptDidbt8CaThSWxuZDoHZshNIa09YFK41t3QjiiKmaINv/igSkM+bcJ3XkRfJI8kJJMsraLFYBsImhkeJUcmTJd9bONPSagmbokSQ3KkdDhcGg47MjMRQN8evnP1gDzufeHzUWDOUDFmt2Lq7iItPB4SIKHTQeyNhzAkZtFRWMmCxhLZBF+BxuehubCTalIjgEdRCBxUVFZVJMmURyFNPPcXDDz/Mj370I2655RZuvfVWfvSjH/Gzn/2Mv/71rzz44IP86le/4s9//nMg2qsyRXyRMO8rMxLm3fdOArBoYT5ms2nEa4IgsH6d5F7w4kuhV6dWVbVSVdWKXq/l2vWlJHgH8T2qCASAxYsLJty2uFj5kTDNXmvZ9PSE0DZkigiCwDXXSN+n3btPj3r9yNEq3ns/PMRkFWckF5CcnGTM5ugQtyY8KV2QS05OMoODDnbumtz1X42D8S9zSyQRyJnKplGv1dS04XZ7iIuLJkNh1wolUFSUzi9+/hliY6M4fryWf//mU1R6/w5nKpuoqW3HYNBx3bULQ9zS8EYQBJ87haNr/MnkhKws7n7kl8QkJtJ27hx/+fq/0Vh+ElEU6WluouH4cRAESjdu9olJlFwhFUhk9xV75/j9HZuczN2P/JL4jAy6Gxt49v6vUnv0CKIoMmCxcH7fXgAW3ngjzh6pv/WJan+rqASDnp5+3zhmaRg7gczyikCqqlpxucZ2HlISPhGIAp5htVoNWVnSwlw4xTZcjG9cEGEOgampZrRaDU6nm64ua6ibQ1Oj15EiJzmixLGyIKs6TEUgdXXS+Z0fQed3jMnoK0SqDhMHlg6FRiVPhsSEGMzmaERRDKvYo1rvuZ2bm4JWO+Uln7Bmx69+wZ4n/0hr5dlQN8VHV30dAOm5UtGqPl75hQ76eElUkZY9G0SR2qNHQtyiYSwtLbidTpJS8wG10EFFRUVlskz5iWDfvn0sXbp01O+XLl3Kvn37AFizZg319fUzb53KjLlm7Tw0GoEzlU1hY3k5FWRnjQ0bFo35+kc/chWCILBvXyVVIRYOyG1dvaoEsznaJwK57J1ATtQCkxOBzIoAEUhdnZS/qcTsZDkSZs8HFSMmhNvaLDzw9Sd58L+e43wY2EZXVDQCMG+uGgUzHoIg+CJFtr1VNuH2vb0DdHf3A8P5tiozo6REOj8rxxCBVHrdQUrmZCl+kiBcKSnJ5uGf3UN0tIGjx2r4zOd+y71feJTfPboNgHXXzCc2NirErQx/hkUJYztTyCTn5XPXI78i2mympaKCp770RR7/7D289cjPAShasRJzWhpOrwhEtW0dm2HRzaX725yezt2//DWxKSl01tbw7Nfu4/db7+KN//1/eFwuMkrmklZUrIpuVFSCzLFjNYAkbE9KjA1xa8YnOzuJ6GgDDoeLxjAWIkyG7p5+LBYbgiBQoBDr+9wcKTa2IYz7Xl7ULIigRXIAnU5LundBurl5dIRdsGlsks6BSIolASjyOkuGixjhQiwWGxbLAAB53gjnSEF2oqwcJ4402MhRR0qLSp4MgiAwe7YkqDx7LvRzZDJ1tdJ8ZCTO6WSWzAWgtfJMiFsyTGdtLQBpOXOAyBhzySKQhGTJdTms+tsbBZNZMA9Q5xRUVFRUJsuURSA5OTk88cQTo37/xBNPkJubC0BXVxeJiZFlO6ZUEhNjWbJEyl9/f6ey3EBqato4d64FrVYzbrVubm4K69ctAODZ53YHs3kj8Hg8F0TBLAZQRSBI1XC13kHI4kUFE24vO4FUK1QEMjBgp63NAgxnhCqJhaV5JCSY6Osb5MSJOt/v//z0TpxOSRQin+ehpOKMJAKZO1eNgrkUsgjk8OHzdHZe2jKzplaaoMvISLhkbJPK5JnrFYHU1XUyMDAySkOOiJEn6lQCw8LSPP7vd19kw/WL0Om0nDrdwJEj1QBs2bI8xK1TBoZkyW1pqG1iW+m04mI+/egfWHTjFnQGA+3nz1G1XxKIL7xxCwBOixQHEwkTZIHAmOLt7/ZBRFG85LaJWdnc8+jvWfah29FHR9NVV0flrp2AFL0Dw/0t2/qqqKgEFjmidHkYu4CA5EYhV+qfCwOB90yQF5mzs5OIilKGJXhOjhRB0dAQniIQURSpqpbG40URGBOZ6XViCYciqSZZBJIVObEkMCwe6umx0dPTH+LWjEQu2snISCA6WhnXjMlScok40lAgR16lRmAcDAyP98+cGV30ESpkJxAlzkdOREaJ5LbRcrYyxC0ZprNOmjdNSJTmJiNBlCCPG6MMknirpTKc+rsWgOR0aZ3LkBBZ13AVFRWVQDFlEcjPfvYzHnnkERYvXsznP/957r33XpYsWcIvfvELHn74YQAOHTrExz/+cb83VmV6XOsVSShNBPLWdtlZYw7x8aZxt/vkJ68BYMfbx2lttQSjaaNobOymrc2C0ajn6qskdXKiKgLxCQkKC9Mu+TeUuTAOZqLFj3CkwZstm5BgmtTnDTd0Oi1XXyUpqnd5I2FaWy28+tph3zY73j4R8vzkigppkD1vnuoEcilycpIpLc3D4xEnFO/URqjlcyhJTo4jJcWMKIqcu6g6SK4WmuOtHlIJHLNnZ/LDH9zJyy9+ky9+YSO5OcmsWF7MiuXFoW6aIojOjgEBnBY7zj7HhNsn5+Vxy7f/i6++9AobvnIfKQWFZM1fQMnaa/C4PDitXlGCOmEzJsa0aASdBveAC8cE7isA8RmZ3PiNf+drL73Cpge+Ttqs2aQVz6J00yZEUcTZKzuBqP2tohIMjsgiEAXcY+RnkIufUZSGkqJgZGQRiOwCEW50dPTR1zeIVquJOCcQgKxMyXVDjnENJU1NkhBFPiciBZPJSFamJLaRo4XChbp65Tq3TkRJmDmBdLRHrhMIXNr5M1TI53ckXrvD0QlEjoOJjpKud5EwxtWb9SCAIGqJijbTerYybObnu7yim9hY6fodCaIbFRUVlWAwZRHIrbfeytmzZ9myZQvd3d10dnZy4403cubMGW6++WYAvvSlL/Hzn//c741VmR7XrFuAIAiUl9fT3t4b6uZMClEU2fG27Kyx5JLbzpubw/LlRbjdHp7/654gtG408uJ/Xm4KRqMeGHYC6bmMRSBl3iiYJZOIggHJslCr1dDXNzihc0E44ouCyVfugOuaa6RImJ27TiOKIk8/8z4ul5tFC/MxmYy0tVk4eTJ0cV8dnX10dvah0QiUzFFFIBOxedMSAN6aIBKm2mv5XKigCXQlMLdEmog7c8HEkNvt8cUqzSlRnUCCRVJSHJ/+1Hr++vzX+dUvPxdxGcmBQmvUEpUhiRoH6q2Tfl+02cyVd36CLz79LJ/5/WPoo6Loq+gBETRRWrTRukA1WdFodBpMOdLzo20K/W2MiWHF7Xdw75+e4t4n/0x0nJn+c714HB4EneCz9VVRUQkcbW0WGhq70GgElnqdOMOZWbMkEcj588p0YJTxOVYUKecZNjfXKwJp7AxxS8ZGdoe5cG4jksjKkkQgLWEkAom0OBgYHlfW1IRXJIzsVBuJi+Ql3rFlbW07drszxK2Bjk6vE0haZDuBnK9qHRGnHCpEUfSd35EockqfLUWu9DQ1MWSd/DgpkHTW1aLRaNF5pLFWJLhdCloNuljvukZSDkNWK5aW8BCWyc4rBo0UuaiKQFRUVFQmx5RmwJ1OJ9deey12u52HHnqIF198kZdeeomHHnqIgoKCADVRZaakpphZWJoHwM5dynADOXmynpaWHkzRBtZcPXfC7T959zoAXnn1EL29A4Fu3igavBM48oQOqHEwAMfLaoHJRcEAGI16Xy5rVVV4TRZMhto65Q+4rlg5i6goPW1tFnbvqeDV144A8MUvbvRFL4UyEqaiQoqCKShIizj71kBw/XVSDMa58y2XrPSUnUAicTIslAxXBw0PmhsaOhkachIVpfdlwquohDOmvDhgaqKEi3F0D9FzVLpHJi1PQxAEv7QtEpH7e6Bu+v3ttDroOiA9RyUsSUVQRU8qKgHn6FEpbmxuSTaxsVEhbs3EDItAIsQJREEikJxsac6gqakbtzu0DotjUeWNZp01KyPELQkMmV6HiuaW0MbBuN0enxuJfE5EEvJ3sjrMRCDDTiCRNw5LSTGTmBiD2+3xfY9DSbvPCSQyRSBZWYnExBhxOFxh4XjT09OP1TqIIAjkReD5bYqPJz5TenZpDYNIGJfdjqW5mThzOiAg6DVoTZFR6CAXEGQVLwSgNQwiYURRpKuulqhoM4JHAwLozeqcsIqKispkmNKMoF6vp7y8XJ24VSDr10uLt/985VBYKJQn4q3tZQCsW7dgUtm+V6ycxezZmQwNOXnhxX0Bbt1oZCeQnAsW9BISvU4gPZenCMRmG/JVES2epBMIQFGxNFlwPgwGrVNFdgIpKFCuCMRo1HPlFbMB+NF//x2Xy83y5UUsXVLIDTcsBuC990+G7DoiD67nzFYdFCZDfLyJtWukiJ/f/PbNcW0ca7xOIJGY+x1K5OqgyrPDTiByRvOsWZmqG4WKIojxihLsbYO4B11Tfr/oFunY3QwekejcWGJnR+ZEsL8w5caCBpy9DhzeOJepIIoinXtaEF0ejGnRxC+IvOpiFZVw5IhXBKKEKBiA4qJ0BEGgs8tKd09/qJszLURRpEaBcTDp6QnodFqcTjftHeHn1CqP4WWhUKQhx5Q0N4fWCaS9vReXy41eryU1AuMyCr3jyuowWBy/kDrvuDc/AosfBGHYLTXUkTA22xADA9JzbCSe3wAajWY4gicMImFkF5DMzMSIdHECyJxTAkBLGIgSuhsbET0ekjMk9zdDgiFi1sv08ZLDRmq29EzbEgYRPP1dndhtNuITpWucLlaPRqfOp6moqKhMhilfLT/1qU/xxBNPBKItKgFky43LiIuLprq6jVdfOxzq5lwSl8vNu++dBCaOgpERBIG777oGgH+8sI+hoYlz6/1JQ4OU53uhE0ii1wnEbncyOBjc9oQDR4/V4HZ7yMlJJj09YdLvm1XsrUpToAikts47oaBgJxCAa9ZKkTA2mzRo/+xnrgdg+bIiEhNjsFgGOHTofEja1toqTdZlZSWG5PhK5Ev/sgmDQcehw+fZNkYsTF/fAF1dUsV5JE6GhRLZkreursN3H5An5OQJIxWVcEcXq8eQIlW1DzRM3Z3CcrwTR7cdjVFLylUZETM5Fig0Bi3RmdIz5HTcQPpO9zDUOoCgE0hdm4WgUfs7mDz++OMsWrQIs9mM2Wxm9erVvPnmm77X77nnHgRBGPGzatWqEfuw2+3cd999pKSkEBMTw6233kpjY+OIbXp6eti6dSvx8fHEx8ezdetWLBZLMD6iyhiIosjhI1UALF9eFOLWTA6TyUiON4JCqW4grW0WBgYd6HTaEePwcEer1fjGMk2NXSFuzWjkiKDZkSoC8fZ9R0cfDsfUxa3+oqlJ+ttnZiZGpDDc5wRS3TZuIUKwsdudtLRaAMjPV/aczXjM8YkSQisCkaPI42KjItrBVXb+PBMGIhCfy02EntsAGSWSU3hrGIgSuuqlaJL0XEmYIgsnIgHZYcNslq7j4eAE0uWNgsnIl86BSIjeUVFRUQkWUx5pOBwOHn30UZYvX84Xv/hFHnjggRE/KuGJ2Wzi85+TFnIfe3wHVutgiFs0PgcOnqO3d4DExBiWL5v8JNp115aSlZmIxTLAE398Z8rHra1r5ze/fdP34DwVGryTN3KUCUgTa3q9Frg8I2EOHToHwMoVs6b0vlnFku1sONhXTgWXy02j9zxQeqTGVVfN9U1EyS4gADqdluuvXwTA9rdDEwnT1iZNJkxFWHS5k5OT7BPy/Po3r4+6HsnuKunpCcSY1IGUP0lJMZOSHIfHI3LX3Y/wne/9hQ8+kCYs5qgiEBUFIbuB2KYoSrB3DGI5IbmlJa/OQGeKzKo0f+OLhJliBI+j107PEemanrQyXbXIDQHZ2dn85Cc/4fDhwxw+fJjrrruOD33oQ5w6NRzJuXnzZlpaWnw/b7zxxoh93H///bz00ks8//zz7Nmzh/7+fm6++Wbc7mEXtrvuuouysjK2bdvGtm3bKCsrY+vWrUH7nCojaWnpob29F51Oy6KF+aFuzqTxRcKcU9a4S0aOgsnLS0GvV5YFuxwJ2BBmIhC73elzOS2O0DiYxMRYoqL0iKJIW5slZO2Q5w5ycpQjYJoK+XmpaDQCVusgnZ19oW4OIDn4iqJIXFy0r2gr0pCLEM6G2AmkvUP6m6emRbYD4Fjxr6Gi1utyUxDBIpDMEq8TSBjEwXTW1gKQmJILDEeoRAL6BOmzGDSxgOQEEmoxX6dXBJKSIa0TRVJ/q6ioqASaKYtAysvLWbZsGWazmbNnz3Ls2DHfT1lZWQCaqOIvbr/tSgoKUrFYBvjjk++Gujnjst0bBbPh+kXodNpJv0+n0/Jv998CwHN/2cPJk3WTep/H4+EfL+zjns/8huf+spv/+s5fxszmdbncY4o57Hanb/LgwgG8IAgkeAeWPZehCOSg1yniipVTE4EUe0UgdXUdOJ2hq8yZKi0tPTidboxGPenpyh7oxsebuGbtfPR6LV+8d+OI1zZukCJhdu06HXTHHYDWNskJJEMVgUyJuz6xhuLiDCyWAX7z2zdHvFZT8//Zu+/wtuq7//9Pbe+9t5PYznL2csJIyA5hlF1ogA7o3RYopbT3rxvuuy2lLaXc0PbbAmUllJYRZghJgJC9nDhxlkfiGc843rItWdLvjyMpMVkeGrb0flwX10Wko3M+Oj6Wdc55f15vR4z2yC5eGq5uuGEWarWK+oZWPv20kEr7hfXsLN+cXSl8U1C6UpTQVWPEaupfOzCbzUbjtlqwQXBmGCGZvhkF7Q5BacoFt57Gbno7zf1+XdOOOmwWGwFJwYTmRLhpdOJSli9fzooVK8jOziY7O5vf/OY3hISEsGvXLucyBoOBhIQE539RUWdb9rS2tvLiiy/y1FNPsWjRIqZOncrq1aspLCxk06ZNABw7doz169fzwgsvkJeXR15eHs8//zwffvghRcNgpp4/crSETEuL6Vcr0+Eiy/5dpHiEJoGcHIGtYBwc1w2qh1kRyMmyeqxWGxERQcREh3p7OG6hUqlIdLSEqfVeS5hTNWcASE7yzbZtBoOOtDSl2MmRLuNt5ee07/XVZDpH2uSJk3VevZ7WaC8CiYsd2dfGLsfR/rWktNbrrdfPHt++e13HkQTSXF1NT4d3W9mdrigHIChI+XvuS8X3ujBlcpjNBFp9AN3t7bTWeve7omN/h9rTSbQ+tL+FEMLdBjxd4vPPP3fZxrds2cIf/vAH8vPzqa2tZe3atdx4443O5++9915eeeWVPq+ZPXt2n4toPT09PProo/zrX/+iq6uLhQsX8te//pWUlBTnMs3NzTz00EO8//77AFx//fU8++yzREREuOy9jARarYaHHryWR374Mm+9tZMbrp9JRvrw+nLY1WVi67ZjACztZyuYc82bN5YVy6ex7uP9/Po3b/HKyw9e8kJcY2Mrv3niHfbsKXE+duJEHR9/vJ+VK2c4H7NYrPzw0VfYf+Akr7z0oDPaEqDaHuMZEhLgLPpwiIgIprGxzWeTQCwWK62tnURF9b1AVFfXQmXladRqFdMGkOYCEB8fTkhIAB0d3VRWnnYWhQx35178VatHfpzrr355G52d3URGhvR5fMKEVJISI6mpbWbb9uMssieDeILNZqPOHt+akBDhse36Aq1Ww3//6Ea+/Z2/s+7j/SxbOoUZ9pSeMseMER++WOBN3/zGQu644wqOHavm8OFKjhypIi4u3HnjRYiRQBeuRxump7fNhPFUZ78KOnoauzG39KDSqoieM/Ju0HmTNkiHITaQnsYujFUdhI29fAs0c6uJ7jojqCB2XqLP3twYSSwWC2+++SadnZ3k5eU5H9+8eTNxcXFERERw9dVX85vf/Ia4OOVvcH5+PmazmSVLzhbhJiUlMXHiRHbs2MHSpUvZuXMn4eHhzJ4927nMnDlzCA8PZ8eOHeTYZ0l+WU9PDz09Pc5/t7UpN2jMZjNmc/+LjcT5ysuVYoSU5Civ7EvHNge67cxMZbZwSUnNiDwGSk8oNyQyMmJG3PgTEyMAqKxsHFZjLzqutJ4aPSqB3t7hPyFjsMd+QkIEZWUNVFc1Mm1qhhtGdnmOxJXExIhhdQy40qjMeMrLGykuOcWMGd5vlVVWphSjpKZE+8Q+v9DxHxMT4ryeVlJa47W2TnV1SpFTdHSIT+zri4mPDyUoyIDR2ENpaY1Xr186kkBSkiN9cp931xkxt5iISs7gzKlyTh1T7h146706kkB0qkCwgSpY7TP73aa1odKpsZmtpI2bxsmDO6g+eoTgWO+lzDSWlQFg0IWCFdTBGp/Z34Mx2O8/g92OEGJk82pmZmdnJ5MnT+brX/86N9988wWXWbZsGS+99JLz33p93xv6Dz/8MB988AFvvPEG0dHR/PCHP2TlypXk5+ej0SgpEnfeeSfV1dWsX78egPvvv59Vq1bxwQcfuOmdDV9zZmczb+5Ytu84zrPPfcxTf7jH20Pq4/DhSrq7zcTHRzBuXMrlX3AB33/oWvbsLaWquom//2Mj33/o2gsu13i6jXu+/iwtLUb0ei0PfG85JlMvz/3lY/7x/EYWLpzk7F255vWt7N2nJFvs2l3ctwik6myM55cvuDtuoPtiEUj1qSZ++tM1lJU38PRT9zpvKAPOfTVuXAqhoYEDWq9KpWL0qHgOHqqg9ETdyCkCcfTfTPON6EW9XoteH3Le4yqVikWLJvPqa5vZsPGgR4tAWluNdHcrX0DjfDxW1B0mTkzj5ptm89bbu/jt797hnrsXkDcn29kOJnMEzqIcKYKDDMyYPpoZ00d7eyhCDIpKpSI4LZTWw00YK9r7VQTSWaa07wpKC0UTMLJi+oeDoPRQehq76Kxo71cRSEeZckM/MCkYbYi03fGmwsJC8vLy6O7uJiQkhLVr1zJ+/HhASQq59dZbSU9Pp6ysjF/84hdcc8015OfnYzAYqKurQ6/XExnZ92ceHx9PXZ1y86qurs5ZNHKuuLg45zIX8sQTT/D444+f9/iGDRsICgoaylv2e9u2KxemTaaW89r7eNLGjRsHtHxbm1IUVF7ewPvvf4hWO7IK2Q8eVM45z5yp9up+H4yaUy0AHC+qHFZj//SzcgDUauOwGtflDPTYN/Uo31G2bc9Hqx14O2BXOHZcSa6tqTnJunVnvDIGd+vtbQFg69YDRIQPrMWdO+zcpUz+MhqbRtTxfTlfPv6jo/R0dHTz9tufMCnXOxM98vOVv4stLfU+ta8vJDpaj9HYw5tvfcKkXO9cD+wxWZzpK0VFBVRWHvbKONwppyUDg1VPeOJozpwqZ9u6D4mZOXvAn/+uYLPZaKwoxxAQisqqxoaNTds/w6bybssUVxpjTSWIQAwRSiHZ9o8/5kSn0WvjqSkpRq3WorboQAVf7N1Cr9q76TvDgbuPf6PRez9zIYTrDOqK7N69e3nzzTeprKzEZOrbDuCdd97p93qWL1/O8uXLL7mMIy73Qhxxua+99hqLFi0CYPXq1aSmprJp0yaWLl3qjMvdtWuXc7bU888/T15eHkVFRRedKeXLHnxgBbv3lLBzZxG7dhczZ3a2t4fkdMjewmXy5IxBz2AMDQ3kJ//9FX74o1f4z5s7uOqq8Uydknnecps3H6alxUhqSjRPPrmKjPQ4TKZe3lm7m5qaM/zrja184+sLKSo6xfMvnP2jevz4qT7rcfTxTUuNOW8bjmSQlmbfKgLZubOIxx7/N+0d3QC8tmZLnyKQPXuVk+uBtoJxGD06gYOHKjhxYnjEhvZHebm9CMSH+286LFmsFIHs3FlE4+k2YmM8E/HvaLsUFRWCwSA3uAbj2/cvYcvWY9TVtfDk79cCOD9rMyUJRAhxCUHp9iKQ6g5sFisqzcVvFtqsNjrLlIv90gZmcILTQmne10B3bSeWHgsaw6VbJHbai0CCZX97XU5ODgUFBbS0tPD2229zzz338MUXXzB+/Hhuv/1253ITJ05kxowZpKen89FHH3HTTTdddJ02m63PudGFzpO+vMyX/eQnP+GRRx5x/rutrY3U1FSWLFlCWJgcN0Ox6bNXgAbmz5/N8mVTPb59s9nMxo0bWbx4MTpd/78j22w2Xlt9nI7ObiZMnMnoUSOnILjXYuHpP+cDcOsty0kaYS01amub+c9bRbS3mVm2bNmwSZJc/8k/AVi0MI9ly6Z4dzD9MNhjv6NzB/n7PyEwMIoVK1a4cYQXZrPZ+L9nDwBww/VLnG1TfE1kZDFbtq6hq0vjlf38ZW+/8zcAli69grl5I/9a8MWO/4pKDRWVOwgIiPXafv9iy2qggblzp7NixXSvjMFTysrVVFXtJCAgxmv7+3jRKWAfkZHB3Hzz9V4Zg7ud3lxLd3UnYyflUbbvU8Lt33kH+vnvCi21tRzp7SUiTmkHpA3WsfzaS9/fGmnO7KjHeLKd7PEzOPbF24RYer12fPd0dHD4j08SFq6kXap0KhZfu8Svky8H+/1noBzJkUKIkW3ARSBvvPEGd999N0uWLGHjxo0sWbKEkpIS6urq+MpXvuLyAUpcruslJoZz7YppvPf+Xj7/vJDp084vkPCWQ4fKARg/LnlI+3nGjFFcu2IaH63bz29++xavvvwAOp22T1zWwYPKtpYunUxykhKXp1LB/fct4rHH/8OaNVtZeM1EfvX4v7FYrCQnR3Hq1BmOHa/uM7aKCmUWfVLS+ZF74WEBADSdaRvxxw2A1WrltdVbeOnlzdhsNnKykyguqWXv3lJOnKglLS0Gq9XKvn0nAJg6NXNQ7zsjwx5NXFo7YvZbuf04SEnxTgx0f7gqLi41NYrc3DQKCyt5++0dfPMbC10xvMtytF6Kjwsftvt4uNPrNfz1uW/x0br97NlbyrFj1VitNgICdKSk+GZsqIOn4hKFGG5cdeyrIzSoAzVYuyx0VLcRkBR80WW764xYunpR6dVo4wzyezcYQSq04Xp6W010VLQSlBl60UXNLT2YW3pADfqkANnf5/BGVK5er2fMGKUQesaMGezdu5dnnnmGv//97+e9LjExkfT0dEpKlALqhIQETCYTzc3NfdJAGhoamDt3rnOZ+vr689bV2NhIfPzFb+IbDAYMBsN5j+t0Oo9fPPc1jmTIzIx4r+7LwfwsR42K51BhBZWVTYzNGVwSpzfU1LZgMvcSEKAjNTV22BRR9FdSUjRarQaTuZfm5q5h0erSZrNx8qTy2ZIzNnlEfS4M9NhPTVWuN9TVt3jlfTY1tdPVbUKtVpGaGotO55uJaTk5yg3SyqrT2Gwq9HrvvU+LxUqlvQXP6FGJI+r4vpwvH/9jx6YCUFJa57X32dTUAUBiQpRP7esLGT8uFdhJcUmt195rdXUzABnpcT67vw1RAXRXdxIRkQRAQ2kJyTNmeeV7bOsppXVaQsY4APThBp/b7wHRgRhPthMarNyDqy8pRqvVeqXwoqGmBoC4lCwAdGGG8zoF+Ct3H/++dlwL4a8G/A38t7/9LU8//TTf+973CA0N5ZlnniEzM5Nvf/vbJCa6ttegxOW6T0+PcvJz5EjpsInms1ptHLQXgbQ0V7Bu3ekhrS9rjIrAQC01Nc28+OJbpKWdneG2YcMG9uwtAqCzs7bPPrDZbCQlhlBT28E3vvUXurp6CQnWsWJ5Ks+/cIZTp87wzjvvE2CPNj90SLloe/p01Xn7sr5eSQ05fLiYdeuGf0/dy9m+o5pt25X3NGVyHAuvSea9D4yUlrbw52f+w6KFGdTVd9LaakSvU1NZUcip6iMD3k59vTJ7+MiR8mFzfF6KzWajtFT5UlpZcZx16yq9PKJLc0Vc3KhMPYWF8NbbO4iN6fJIfPTefUrfb6uta0QcF8NZXCysXJHEwgWxVFS2ERZmYPPmT709LI/wRlyoEMOBK479ZGsc0URQurWYytDaiy/XqSzXpGrm4CfHh7xdfxXfE0080VTuLuPk0Wq4yDW3eKOyXKumg0ObPvHsIEcIb0bl2my2PpMLztXU1ERVVZXzPHr69OnodDo2btzIbbfdBkBtbS2HDx/m97//PQB5eXm0trayZ88eZs2aBcDu3btpbW11FooIz+nuNlHfoLSWSL1AMuRw5ygCcdz8Hykc483MjB9xBSAAWq2GpKRIKitPU119elgUgdTXt9Le0Y1GoyYj3bcTApMSlWuItbXNXtn+qVNK+5e4uHCvFka4W1xcOKGhgbS3d1Fe0UB2VpLXxlJf34LJ1ItOpyEx8fJt9kaynBxlP5eU1GKxWNFcIr3PXRoalb+LsXG+nzSWM1YpdiotraO314JWe+n0PndwTE50TKjzRfpIpZBZr1baVjdXV5Nwke/X7na6ohyAmARlUq0u3PcKEnT2/a3u1aHWaOhqa6O1ro4IF9/76w/H/o5LtReB+OD+FkIIdxrw2caJEye49tprAWU2UWdnJyqVih/84Adcc801FyycGCyJy3Wf2NhS1n9Shg3DsIhlBDhxsh6TaQ+BgXpW3X0TWs3QvzgfOWpm46ZDaLQxrFixyBmXNWnSLDo69qDRqLn3npsICOj7BSI9PZfvPfgiXV1K4cZjv7qDmTPH8NG6SmpqmklLn8CM6aMBeOGfRwFYee01jBvXd/aUxbqPLVurCQmNHDb7ebBOn27jz//3fwB8/6EV3PQVJV0nMekEj/7oVY4XtfDr/13Iu+/tAQ4zY2YW1123clDb6uzsZs3rR+noMHPFFfMJCxvehVdnznTw+z/uQaVS8dU7b8CgH56Vsq6Mi1uy1MLOXc/Q0NCKTp/skejrk2UfA5VMnTKWFSuWun17wrd4Ki5RiOHGlce+qbmHhnVVRJhDyZo+FkN84HnL2Kw2at8uw4qV7CvGMSnRtyOg3am3w0zd+5WE9AaxYNJVBKaGnLeMzWaj7r0KLPSSOXs0EzKmeH6gw5ino3Iff/xxbrzxRlJTU2lvb+eNN95g8+bNrF+/no6ODh577DFuvvlmEhMTKS8v56c//SkxMTHORM3w8HC++c1v8sMf/pDo6GiioqJ49NFHyc3NdbY/HTduHMuWLeO+++5zpovcf//9rFy50i9bnXpbtb01aGhoIOHhw/uc5UJG2VvAnCwbmUUgozJHTgubL0tNibEXgTT1aa3qLaWlSnFnRkacTxcmACTa2we1thrp7OwmODjAo9s/ZU+4TEmO9uh2PU2lUjFmdAIHCsooLa3zahFIeYXSvjc1NcYrRRGelJoSTVCgHmOXicrKRjI9/DnZ02OmtVUpjo2NCffotr3h3P1dUdHI6NEXbmnvTo721Glpvl8E0ttuISwunraGeroukIznCafLlVb2oeHKz1oX5ntFCWf3t5n4MdnUFh2jrui4V4pAmuxFIBHRyj0XX9zfQgjhTgM+s4uKiqK9XZmln5yczOHDh8nNzaWlpeWSM6BcQeJyXScpSTnZPN3YNmzez7FjSsLExAlpBAa45iR89uxsNm46xP79ZX3e57HjSmrD2JxkQkPPjzOfOnU01yyYyGefH+bWW/KYO1eJeBs3NoWammZKSurJmzMWo7GHpibl9yEjI+G8fRkdrZzwtLV2DZv9PFgvv/oFPT1mcnPTuO3Wec4iqjmzs0lLjaGy6jSffnaY/PwyAGbPyhr0e46I0JGUGElNbTOVlU1MnTq8TxxrapQZRImJkYQED/+Lv674HNPpdNx80xz+9v8+4e13dnPdyplujwVsbFR+1xITfT9SVLiPr/wdF2KgXPLZH6cjNDuC9qIWWvNPk3RdJip1389+Y3UH1h4r6gANISlh5z0v+k8XqSN8YhSth5po3d9EaHo4qi/duOhp7MLS0YtKqyI0IwK1zrdvbAyWp6JyGxoaWLVqFbW1tYSHhzNp0iTWr1/P4sWL6erqorCwkFdffZWWlhYSExNZsGAB//73vwkNPdvu5+mnn0ar1XLbbbfR1dXFwoULefnll9GcUyC/Zs0aHnroIWdb1Ouvv57nnnvObe9PXJyjvUBaasyI7E3uKKIYqUkgjiKWkSglRbkmU2UvJPK20hNKUq43bmB6WnCQgfDwIFpbjdTUNJOV5dmbWo42p8nJUR7drjeMHnO2CMSbKuxFIBnpvnuT3EGtVpOVlcjBQxUUFdd4vAiksVEpjA0I0BEa6tkCK29Qq9VkZSdx8GA5x4tOeeUztKLSfnxn+G6Kky7MAGqwma2kTZjG4YaP6a73zudKU6VSBBKgC4Ne0PpgMoUmUIvaoMHaYyFt7HRqi45RW1TE2PkLPD6W0/b9HRwUDRZJAhFCiIHq91XCb3zjG7S3t3PllVc643Rvu+02vv/973Pffffx1a9+lYULF7ptoHDpuFwHR1yuowjk3LhcB4nLhdg45aZ6e0c3RqN34tO+rLBQaaGRm5vmsnXOnKGkdRwvOkVbW9d525o0Kf2ir/35z27hT3+8l4cevNb52LixKfb1Kf3/HBdsIiKCCAs7fzZsZIRSYNLc0jmUt+F1ZWX1fPRRPgAPfHd5nwucarWam26aA8B//rODQ4XKl7OZM4c2m2nMGOX3/NjxU0Najyc4ZpX4cvTihdxw/UwMBh0lJbUUHCx3+/bq6loASEjw7fhWIYQYziKnxaLWqzGd6aGjtOW85zvLlAu/wRlSAOIKEZNi0ARq6W0303rkzHnPd9j3d1BqqBSADAN/+ctfKC8vp6enh4aGBjZt2sTixYsBCAwM5JNPPqGhoQGTyURFRQUvv/wyqampfdYREBDAs88+S1NTE0ajkQ8++OC8ZaKioli9ejVtbW20tbWxevVqIiIiPPU2xTmqqpTzwZHYCgYgM1O5YVRTc4auLpOXR9N/juQSXygCcRQEeJsjCSRrjO8XgQAk2dNAarzQEqbEXhCR7gcFCVn26zonTgyPIhB/2OcA2dlK6kpRcY3Ht91gb5EWFxs+IosjB2NsjtISpqjI89cve3stzlQyXy5yUmlUSiEIkDRqIgBdXigCsdlsNFWUo1KpUFuUInBfTKZQqVTONJD4VCVpsK7IO21em+zJKzqVMunSF/e3EEK4U7+vFL7yyit0dXXx3HPPcccddwBKy5RHH32U+vp6brrpJl588cUBbbyjo4OCggIKCgoAKCsro6CggMrKSjo6Onj00UfZuXMn5eXlbN68meuuu+6icbmffvopBw4c4Gtf+9pF43J37drFrl27uO+++/w+Ljc4yEBIiFKR7fiC7m2Fh5U/6hMnuq4IJDY2nIyMWKxWG/sPnDi7LWcRSMZFXxsQoGfOnOw+UZFj7b0ej9sLE6rtM79SUi580S/CXgTSMsKLQP729w1YrTauvmo8ubnnF86sWD6NwEA9lVWnMZl6iYsLJ32IMYSO46DQXlQynDkvKPhw9OKFhIUFsWzpFADefHOH27dXV69coEuIj3D7toQQQlyYJkBLxBTle8+Z/EasJovzOWuvlc4KJbUpZNTIb584HKh1aiJnKN8vWg420WvsdT5ns9nOFt1kyv4WwhuqHEkgaSOzCCQyMoTISOWctay8wcuj6R+Tqdd5w8snikCqhksRiHIzzTEZw9clJSoTC2przy+wdCebzcZhx7WvCa679jVcOVIRSkprsdlsXhtHRYXy+eYv12xy7EUJxUWeLwJpPK18N42N85/vpjk53iu6qa5uwmKxEhioJy5ueKcoD5U+SilKiIpRrkt3NXg+xczY0kxXWxtBITFgU4pTtCG+mTSri1D2d1i48r2grrjY45/jvSYTzTWn0OkDoVcpKpMkECGEGJh+F4E4PuSjoqJISlK+3KjVan784x/z/vvv86c//alPS5b+2LdvH1OnTmXq1KkAPPLII0ydOpVf/vKXaDQaCgsLueGGG8jOzuaee+4hOzubnTt3nheXe+ONN3Lbbbcxb948goKC+OCDD86Ly83NzWXJkiUsWbKESZMm8dprrw1orL7I8eWwfhgUgZw5086pU2dQqVRMGJ96+RcMgKO/7t69pQB0dfU6L3BNGmDqiOOLfV1dC83NHc4kkNSUC/dydRSBGI09mEy9F1xmuCs4WMa2bcfQaNT8138tveAyISEBLFs61fnvmTPGDLnif5K92ORQYYVXLxb0x9kkEN+NXryYW29REpW2bD1KbZ37ZlF1dZloaVFajiUkRLhtO0IIIS4vbGwUunA91m4LLQdPOx/vOtWBzWxFE6TFEHd+QpoYnJDR4RhiArD1Wmnef/YmbXd9FxZjL2q9mqCU89sbCiHc79x2MCOVo5BipLSEcdzwCg42EBMdevkXDFOOm9GVVacxm717raCry+S8tuEvSSCJ9iIQTyeBVFU10dJiRK/XOq8v+bJRmXGo1SpaWjo5c6bDa+NwtMtI95NrNjnnJIFYrVaPbttRpBcfF+HR7XqTIwmkpKSW3l7LZZZ2reISJcUpPS3W55NX9PaihECD8vltOnOGnk7PTrqsLykBIDFDaRuvDdX77H53JIHoCUKt0WBsbaHNw+krjWUnsVmtRMUp9wg0gVrUOs1lXiWEEOJc2oEs7Oo/avPnz7/kzd1PPvnksutwxOU+++yzF13GEZcr+oqLDefkyXoah0ERiCOZIzMzjtBQ1940mDVjDG+9tZO9+5QkkFM1ygzVtLQYIiNDBrSu4OAA0tJiqKw8zfHjp5wnNxeL/w0NDUCjUWOxWGlp6Rz2Vdnd3SZ+9vPX6e42k5WVSHZ2Eu+8swuA66+bcclZEzffNIe17+4Ght4KBpSCG51OQ3NzJ6dOnXHOlHIoL2+gtdVIbm4aarV348/9NQkElIvGM6aPZl/+Cd55Zxff++5yt2ynvqEFgKBzUoyEEEJ4h0qjImpmPPWbqmg9eobueiNWk9WZUhGcGeazF8O8QaVSETU7gdqPyukoacXc0oPVbMVi399BaaGoNNIKRghvcCSBjNR2MACjMuPJzz85YopAqs45Bx/Jf2vi48MJDQmgvaObiopGryZwlJXVY7PZiIwMJipq5BbWDIQjCaSmxrNJII4E3HFjk9HpBnRJdkQKCNCTkhJNZeVpSk/UEe2Fwq2Wlk7nhJKRXLA3EOnpsQQE6DAae6ioaCQz03OpSY6WKFlZ/pEqBMrfo6AgA0ZjD+XlDR77PLfZbLz5lpLKO8PeDt2XOYoSbEYbYXHxtDXUU1dcxJhZsz02hr1vvwVA2lhlIqQvp1I49re51UzsqNHUlxRTc+wY4Qme+93e95ayv0dNUtrQ+/L+FkIIdxnQ1cLs7GyioqIu+Z8YOYZTEkjhYaUIJNeFrWAcpk7NRKNRU13dRG1dM9XVShHI5Eu0grmUceNSADhedMo58+tiSSAqlcqZBtI8AlrC5OefZOeuYg4UlPGfN3fw69+8xdFj1QQG6vnG1xde8rWjRsXzlRtnMW5cCvPmDr3VksGgc7bfOfSlljDt7V186/6/8Z3v/YNbbvsjL7y4yeMXbxyMxh7q61sA/+kv+2U33aSccG3ZctRt26irawGUFJCRfLFXCCF8RVBqCIEpwWCFnsZuzK0mbGYrqCE0K8Lbw/M5AXGBhIxWvrv3NHZjbjFhNSkzO0OzI7w4MiH8V2urkdZW5cbilwvWR5JRo5Tkh7KyEVIEcplz8JFCpVIxeoyjVYZnZ9Z+WYmftYIBSLFRq7GTAAEAAElEQVQXA5SVebYNkmMC1MSJ57fZ9VVj7C1hSktrvbJ9x6SdhIQIAgP94waiVqtxXk87crTao9t2tM8eNzbFo9v1Jo1G7dzfR495bn/n55/gyJEq9Hott982z2Pb9RadvSjB1GIicaySxFF3/LjHtl9XXETpju2o1GrSxk1XxhTmu58pjiIQi7GXlAmTAag5dsxj22+uOUXhRmWC+JjpVwC+vb+FEMJdBlR2/vjjjxMePryTDET/xccrP8uGYVEEotzkz811/YlwcHAAE8ancqiwgvz8k1SfUopAJk0a3LbG5iTzyScFHDt+iupq5QJUyiVmE0REBNPU1E7LCCgCcRS1jBuXwqTcdIqLa6g+1cTdq+b3a8bGjx690aXjmZSbTmFhJYcOVbBi+TTn4zt3FmE09gBKccA/X/qMf770GbfdOpeHv7/SpWO4HMdFyIiIYMLDgzy67eHCUVBVVd1Ep7GH4CCDy7dxbhGIEEKI4SHu6mSMpzpRqVWo9WrUOjXaEB2aAN+f2eoN0XMTCEoNgXP2tyZIhzZI9rcQ3uA4d4qLCx/RNxad7WBGWhGID8zoHzM6gYKCck6c8G4RiOPmfJYfFYGMG5uMWq2itraZxsZWYmM9c62z0D7BZbDXo0ai0aMT+Ozzw5R66Tgv99Pk1gnj0ygoKOfIkUpWXjvdI9tsPN3G6aZ21GqVXyWBAIwfl8L+/Sc5erSa66+b6ZFtvvzK5wBcf/1Mr6TseJo2RIdKq8bWayUlZwpFWzZTe9xzRQnbX30FgPELF6G26gGzTydTqPUaNMFaLJ29JI/KJZ83qTnmvsl/X7ZzzWpsFgujZs0mQB9OJ20+vb+FEMJdBnTF8I477iAuzj/6J/oDx0mut4tATKZeZ6X4JDcUgYASi3eosIKdO4upq1OKMQadBGKvZj9YUEZ7Rzdw6ZlfERFKYcBIKAJxXFCbPSuL++9b7OXROIqCtjovlDhs2ap86bz99nmMG5vChx/uY1/+Cd59bw8PfG85Wq3n+gM6W8H4aQoIQGRkCLGxYTQ2tlFaUsvkyRku34azCCQ+wuXrFkIIMThqvYaQzDBvD8NvqLVqgmV/CzFsnC1GGNmJFKMylWs8jY1ttLV1ERbm2vasrlZln4jhC20dHMkb3ro57nDkSBUA2dlJXh2HJwUHBzBmTCLFxTUcOlTBwoWT3L7NtrYuysqV5JGJE1Ldvr3hwlFcdMJLiTdHjyrHt6PgzV9MmKBcuzzqwSSQIvu13fT02BFdHDkY48cr+/uYh5JADh4sZ/+BMrRaDXd99UqPbNPbVCoV+kg9PY3dxCZlAXisCKSx7CTHv9gMwLxVd9O1V5mY6OvJFPpIA12dvUTFKsnttUXHsVosqDXuve7e1tDAwXUfAXDFPfdiLvOP/S2EEO7Q73YwEr/ve+LjhkcRSFHRKcxmCxERwSQnu6el0KyZypfD7TuKsFhsREWGDHpbWVmJqNUqZwFITHToJZMPHO1gRkIRSOUwm1XlaA9UVt5AW5sStdzTY2bXrmIAFi+azJLFk3nmz98gNDQQk6nX47OoKir9c1bJl2VnKRcMi0tq3LL++oYWABISIt2yfiGEEEIIIQaistJRjDCyzwOCgwOItxdaj4SWMFVVTQCkpg2Pc9ah8HabDIBOY4/zHG6KG4r5h7PJ9jSOg4fKPbK9I0eUVjCpKdFERoZ4ZJvDgaPtUXlFI2Zzr0e3bbFY2bZduUk8Z3a2R7ftbRPGK4VGJ07W0dVl8sg2jxf5XysYB0/v71de3QzAiuXTnH/D/YEuMgCAkOAYUKlob2yk/XSj27e747VXAci5ej7RqRlYOpXPMl9PptDb97deHYI+MAhzVxeny8vdvt1d/1qDtbeXtClTScmdhLlN+Z3S+vj+FkIId+h3EYjNZnPnOIQXxNnbwdR7uQjE0RM1NzfNbcVG48enEBRkcB7HQ9lWYKCejIyziTgpl5n5FWkvAmluHv5FIMOtv3JkZIhzhlfhYeU4yd9/EmOXidjYMMbmKIUHKpWK8ePssxw82H8TzhbOpPnARcihyM5WZvcUF7vnAqYjCcTRxkoIIYQQQghvqvKh84CR0hKms7ObpialvWtqysjf75mZ8ahUKs6c6eDMmXavjKGwsAKr1UZSYiRxcf51ruVIhz14qOLSC7rIIXvCaa4ftYIBJc0zJCSA3l6LM0nVU44eq6a5uZOQkACmTs306La9LTY2nLi4cKxWG8ePe+Y6maMIJCfHf1KFHGJjw4mJCcNqtVFUfMqt2zp2vJpdu4vRaNSs+trVbt3WcKOPUCZhWjttGKKV7wE1R93bouRMdTVHPt0EwLxV99BrL0hQ69WoDZ5LovYGfaSyv80tJhLHjgVwe0uYjjNnOPD+e4CSAmIx9mLrtYEKdCFSBCKEEAPV7yIQq9UqrWB8TJy9HYzR2ENnZ7fXxlF42H4iPNF9J8JarYZp55zwTZw4tOjNc6vaL3fxaaQkgXR1mWhsbAOG14XMXHuLIEdLmC1blC+bV14xDrX67EeYI3rxiD3q01OqHTPRhkl6ire4OwnE2Q5GkkCEEEIIIcQwUDXMUhSHwtES5uTJ4V0E4kgBiYwMJiQkwMujGbrAQL1zAsaJE97Z9wUF5QBMmeJfN8gBJtmLMU6cqKOjw/3XxBwTW9x57Ws4UqlUjHak3ng4uXWrvZVw3pxsj7YNHi7OXidzfxGIzWZztvoe64dJIMDZyWlu3t+vvLIZUNKR3ZWoPVw5ihJ6W0wEJSqT0WqOubclzI7Vr2GzWhk9J4/EnBxnKoUu3ODzyfk6RxFIcw9J48YB7i8C2fPvf9FrMpE0fgIZ02ecTQEJ1aPS+Pb+FkIId+h3EYjwPYGBekJDlX6/9fXeSwM5eyKc5tbtzJw5xvn/jsKCwRo7Ntn5/ymXSc0YKUUg1dXKBbXw8CDCwoK8PJqzHBdmDhVWYLFY2bpN+bJ51VXj+yw3fpxS2HPMg/1ObTbbsEtP8RZH/+iysgaXR7z29lo4fVopUEpIiHDpuoUQQgghhBgoq9VKlf38Kc0nikDsSSDDvQik2tGCZ+TvcwfHzfESL7WEcbRC8bdWMAAxMWEkJ0dhtdo4bG/V4i69vRaO2iesTMp177Wv4cjR+sjT7Xu3blNuDl9xxTiPbne4mDheOdaOemCy1OnTbZw504FGoybL3gLI34y3t4Q55saE4qqq02zZehSVSsXdq/wrBQTOKQJpNxOcpBTduLMoobP5DIXr1wFKKgWAudVeBBLm+6kU+nA9qMBqspKUnQu4d3+burrIX7sWgCvuvheVSuVX+1sIIdxBikD8XLw97rPBSy1h2tu7OHOmA4CsrES3bmv2rGxUKhUGg2bIJyTjzikCudwFqJFSBDJcZ7Ll5jpOWqs5eLD8bJTnl2YqjbPPcCivaPRYss2ZMx0Yu0yo1SqSkvyr+v7LEhIiCA0NpLfXwsmyBpeu+/TpdiwWK1qthugo/+mdLIQQQgghhqfGxjZ6esxotRqfKFI+tx3McG4FPFzPWYdizBjv3BwH6OkxO28OT/bDIhA4pyXMwXK3bqe0tI7ubjOhIQGkp8e6dVvD0ZgxyvW+klLPHeeVlaepqGhEq9WQNyfHY9sdTsZPUK6THT7i/iKQY/YUkIyMOAIC/PNmrScSijd/cQRQJjqe26rcX2gCtagDlFSfqPjRANQeP4bNanXL9oq3bcNqsZCQM5aUiUoRxNkkEN8/zlUatbP4IiZ+FAANJ09i7nbPdfeTe/dg6jISkZjEmLlzAf/a30II4Q5SBOLnYh1FII3eKQJxtHiIiAgiKMjg1m2lpcXwuyfu4rZbxg45BnL06ATnOi7XOiVyhBSBVA7TRIv0tFjCw4MwmXp54Z9KD8a5eTnodNo+y0VFhpCYGInNZnOefLqbYyZaQnwEer32Mkv7NpVK5SzkKil2bUuYuvpmAOLiwvu0ABJCCCGEEMIbHMUIyclRPtFiICMjDpVKRWur0TlJYziqtLeDSblMS9aRxHFz3NNtMgCOHqvGbLYQHR162YRTX+VMHj1U4dbtONogT5yY5pfntI6JWMeOVWOxuOdm7Zc5UmSnTs30ifZRgzE2JxmNRs3p021un/znbAWTk3yZJX3X2JxkVCoVdXUtnDnT7pZtONJtrv5SOrI/caSBhIXGozUY6OnspKnSPWlOxdu2ApBz1VXOx/wtmcKxv7W2AEKiY7BZLNQVF7llWyVblf2dfeWVzlY7/ra/hRDC1fzvzEP04e0kkLr6FgAS4iM9sr05s7NIShp6koDBoOMn//0V7r9v8WUrrx1JIM3DvAhkuM6qUqlUzlZBjn7FV1154ZMdT/XfdKh2XIQcZvvMW7KzlJYwxSUuLgKxF4v5wixLIYQQQggx8lVUDs9zp8EyGHSkJCvJhsO5JYzjnDUtzXcKFhxtMsrLG+jttXh02470iymTM5w3W/yNIwHlyNEql7c1PdehQqUIZKitiUeq7OwkQkMCaG/v8khrEoCtW5Wb5Vf5aSsYgIAAvbPllLtbHhUVOYpAkty6neEsJCSA9HTle8GxY66fnNbU1M4Re6qLv7Y4grNFCYHWABKyswH3tCgxGY2U7dsLQPYVVzof97dkCp19f5ubTSSNU467mqOu39/W3l5KdmwDIPuKc4pu/Gx/CyGEq0kRiJ+LsxeB1Nd7pwiktlaZ4Z+QGOGV7Q/F8uXTuPeeBZe9WOIoAmlv7/L4RZ2BGM49rc+9UKLTaZg9J/uCy42zF4EcO+aZiwrDNT3FW7KzlVlsxcWu7WctRSBCCCGEEGI4cRYjDMNzp8E6tyXMcGSz2agephMXhiIhIYLgYANms4WKykaPbrvAXgTir61gQPkdjohQkkePF7l2MsO5DhcqN+Ad7W79jVarYdbsLAC273DPDPJzNTd3UHhY2ef+fLMcYMJ490+WOjeRd+zYFLdtZyQYPz4VgKNuuC65bftxbDYb48alEBsT5vL1jxSOIpAAi57EscokQXcUgZzcuweLyUREUhKxmUorFEt3L9Ye5dq+1k+SKRz729TSQ9L4CYB79ndVYSFdbW0EhoWRmqu03rFZbfS2SxKIEEIMhRSB+Lk4LyeB1NYpRSCJCZ5JAvGGsLAgZ6FIa6vRy6O5uOGaBAIw6ZwikBkzxhB8kdZBE5wnWx5KArEXzgzHfeYNjiSQ0tJarC7sx1nvTAyKcNk6hRBCCCGEGKzhfO40WM4ikGGaBNLS0kl7RzcqlYqUZN8pwlepVM40kBOlnmsJ09tr4bA9nWKKHxeBqFQqJuVmAHDoULlbtlFf30J9QysajZrx41Ldso2RYG7eWAB27nR/Ecj2HUXYbDays5OI9/PrCBMmKIVHR9yYwFJf30pLSycajZox9tY//sqRUHzEDUU3W7YqN94vlo7sL3SRSnunAIuBxHHK58opNyRTFG/dAkDOlVed15pEE6xFrfWP22p6+/42t/SQZC+6OeWGIpDibcr+zpp7BWqt0nLd3G4CG6i0KjRB/t2GXQghBss//lqJi3IWgTR6pwik3g9m+Gs0asLDAwHlwtVw1NpqdBaoDMdewGPHJqPTKb22L3Wyk52dhEajprGxjUYPHNOO9BRJAlGkpcWg12sxdpmorj7jsvU6k0D8/OKNEEIIIYQ/KSur55VXN/PRunxvD+U8lc4kEN85DxiVObyLQKrsrTjj48MxGHReHo1rOdo1lHiwCKSktBZjl4nQkABnAZC/mjRJmXRy8FCFW9bvSKTIGpNIYKD/zmSeMzsLlUpFSWmt26/XbN2m3KC80s9TQADG25NAjh8/5bZ0YkcrmFGZ8T73+TxQjkKvY0ersNlsLluv0dhDfv4JQI5rfYTyOaqzaYkfpRSBNJSW0NvT47JtWHt7Kd25A+jbCqansUsZQ+SFJyf6Im2IDpVGhc1iIyZ5NKhUtNbW0tnsuuu+NpuN4q1bAci68pz93XB2f/tr2zohhBgqKQLxc/HnJIG48stpfznawfhyEgicbQnTPEyLQBwz2WJjw4blRQmDQcctN+cxflwKC+ZPvOhygYF658XLc6Mu8/ef4OvfeI4DBWUuG5PVavXJGYBDodVqnLPYiktcF6Vb50gC8eFiMSGEEEII0dex46f4+z82DLsikJ4es/M81pfOA85tB+PKVD9XOduK03f2uYMzCeSE54pACgrKAaUVjFrt35cGHUkohYUVbjn29+wpAWDylAyXr3skiYwMcRYk7NhZ7LbtdHeb2LOnFIArr/Tvm+WgtDwKCQmgp8fMCTcV+Z1tBZPslvWPJGPGJKDXa2nv6HamB7vC7j0lmEy9pKREk5kZ57L1jkRqnQZtuFJsZCCM4MhIrBYL9aUlLttGVeEhutraCAqPIGVirvPxrjplAmVgQrDLtjXcqdQq9DFKGggdKmLSlMLJmmPHXLaNxpMnaamtQavXM2rmLOfj3fb9HeBH+1sIIVzNv8/0BLGxSg/Bri4T7e3dHt++v9zcdRSBDNckkJFQzPDgAyt44fnvEhYWeMnlxtmjFx0tYTo7u3n8f96kqLiGDz/c57LxNDa2YTL1otGoff74HYjsbKUlTHGxa4pAbDbb2SQQHy8WE0IIIYQQZ+Xk2L9XFtUMq6KEispGrFYbYWGBREeHens4LpOaGoNOp6Gry0SNvchlOKmudpyz+k76isOYMYkAlHqyCOSgMkFish+3gnHIzk7CYNDR2mqkoqLRpeu2Wq3s3KUUPMydk+PSdY9Ec/OUfbBj53G3bWP79uP09JhJSIggy/675c/UajXj7a2TjxypdMs2jhdJEYiDVqtxXhdzZatqRyuYK68YJ4kIgCFWuTZsauwmcZySGF3jwhYlRfZWMGPmznW2JrFZbWeLEhKDXLatkSAgXnm/3fVGkpz723VFII79nTlzFvpA5Wdrs9noqlXuo/jb/hZCCFeSIhA/FxCgJzxc+UPqifYZ5zIae5wtSHz95u6wLwKxV6enDeMikP6aMMF+cmvvd/r//r6B06fbACgrb3DZdhz7LDkpCq1W47L1jnTZWcpFluKSWpesr7XVSE+PGTjbvkoIIYQQQvi+9LRYAgJ0GLtMzhSI4aCsTDmnGDUq3qduxGi1GjIylNnFJ04Mv5YwlSNg4sJgOVJYTp9u88g1A6vVyiF765MpkzPdvr3hTqvVOK8juLolTElJLU1N7QQF6qXghrNFIPv2ncBk6nX5+i0WK/98+TMAli+b6lOf0UMxwZ7Acm5irqvYbDZnO5icHCkCARhvn5zmuC45VL29FnbsKAIk3cZBH6cUCvQ0dDmLEk4ddU0RiM1mo3ib0prk3FYwpqZubGYrar0afVSAS7Y1UpxbBJI4XjkGa44ecdn6L7S/ezvMWDp7QQ0BcVIEIoQQgyVFIIK4WOXGan1D/4pAbDYbn28+zMGD5UParmN2f2hoICEhvv3lKXK4F4H40AU1x8nW8eOnOHSognfW7nY+V1HR6LK2R9X2fZbigzPRhuLcJBBX7OvaOmUWYnR0KHq9dsjrE0IIIYQQI4NWqyHLXmB83B41PxyctMfpO9pQ+pKzbUlcU9DtSlVVvjNx4cuCggwkJ0cBnkkDKS9vpLXVSECAzpm44+8cLWHy959w6Xp37FRu3M6YMUbOZ1GuF8REh9LVZXKm0bjSp58VUlbWQGhIAHfcfoXL1z9S5U5U2jfk559weSvwuroWWluNfdoD+ztnEcgR1xSBFBwsp729i4iIIOfP0t8Z4pT7COYzPSTlKEUJp44cdsm6G06U0lpbi9ZgYNSs2c7HHa1gAuKDUKn9q8DMkbzS224mcfTZ5BWrxTLkdbfV11NXdBxUKrLmzXM+3l2r7G9DTCBqndzCFEKIwZJPUOGcXd9gb81yOR99lM/Pfv463/neP/jr39bT2zu4P/iOm7v+0ErDkQRy4EAZJ056LuL1Qqqrmyg83DcC8mx/5ZFf0JCREUdgoB6jsYef/+J1bDYbSxZPRqtVoo3r612TeFNpvwjpiz2ph2L06AQ0GjUtLZ3OBJah2LjxEHB2dpwQQgghhPAfjlnFRUWuaTXoCo4ikEwfLAIZPcpRBDK8kkCsVivV9iRGX5i4cCGOthUnPFAEcqBAufk+cUKapFrazZmdDcDOHUXOJEpXcBSBzJ0rrWAAVCoVc+Yo+9qRbOAqvb0W/vnPTwH46levJDT00q2E/cnUqZkEBuqpb2jlmIuLKvP3nwRgzJgEKXSymzJFSVg6fvwU9f281n4pW+2tYObNHYdGI7dyADTBWkxqM9ggJn4MGp2OlpoaGk4MvZCveKuSSpE5cya6gLOTVrudrUmCh7yNkUZj0KCPMgAQFpxAQEgo3e3tVB06OOR1F2/fBkDKxFyCI6OcjztawQRKKxghhBgS+eYgzhaBNF7+hm1l5WmefuZD579Xr9nCg99/kcZB3Oyts/cZTvTxVjAAaWmxgHKxZdXd/8fX7n6G1Wu2DLqAZih+9N+v8l/f+bsz/tVms529oJY28i+oaTRqxtovFp9uaiciIoiHv7/S2Tu63EUtYXy5J/VQGAw60uzHUXHx0GYQnjnTztp3lSSXr94hs3iEEEIIIfzNOPv3+uNFwygJpMyeBOKDRcqjxziKQLw7ceHLGhvb6Okxo9GofXYSyWj7DPqSUvensOzaVQzA9Omj3b6tkWLChFTi48IxdpnYtbvEJetsbu5wtt/Isxc+iLMFMY4CGVf5ZEMBlVWnCQ8P4tZb57p03SOdwaBztuL54gvXtXAA+OyzQgCuvELalDjExYUzeXIGNpuNTz8tHNK6bDYbW7YeA6QVzLlUKhWd2i4ArK02Rs/JA+DIxg1DXnfR1i0AZF9xlfMxm9VGd72STOGvRQmOljCmxh5yrp4PwGEX7O/ibY79fbYVjM1mcyaB+GPRjRBCuJJXi0C2bNnCddddR1JSEiqVinfffdf5nNls5r//+7/Jzc0lODiYpKQk7r77bmpq+s4Amj9/PiqVqs9/d9xxR59lmpubWbVqFeHh4YSHh7Nq1SpaWlo88A5HBmcRyGXawZjNvTz2+L/p6jIxbdoo/vfxOwgKMnDwYDn33PssOwd4Aldnr4b21Ys451qyeDK/+fWdXHXleHQ6DSdP1vPXv61n9ZotHh2HydTrbIny/IsbAaVQoqvLhEajJinRNwpyxtv7nQI89OC1REQEk5Gu9Lcuc1ERSFW1JIFcjLMlTMnQZmz+641t9PSYGT8uhdmzslwxNCGEEEIIMYI4kkCKi2uwWKxeHg0YjT3U2icz+HI7mOpTTXR3m7w8mrMc7UuTk6N8NrnC0fro2LFqt26nq8vE3n2lAFxxxVi3bmskUalUzF8wEYDPPx/aTVuH3XtKsNlsZGUlEmtvwyxg5swstFoN1dVNzt/toTKbe/nnS58BsOquqwkOMrhkvb7k6qsnALB582GXtYRpazM6P0+uuSbXJev0FUsWTwZgw6ahJSWUlNZSX9+CwaBj1swxrhiazzDai0C6G7qYuHgJAEc+3YjNOvjvi631ddSXFKNSq8mae7Y1SU9jF7ZeG2qDBl2kf36+GOKUIpDueiMTFy8G4Pjmz+k1Df77Ynd7OxX79wOQc+XZohtzmwlLVy8qjcrZikYIIcTgeLUIpLOzk8mTJ/Pcc8+d95zRaGT//v384he/YP/+/bzzzjsUFxdz/fXXn7fsfffdR21trfO/v//9732ev/POOykoKGD9+vWsX7+egoICVq1a5bb3NdI4ikDqG1ouudw/nt/E8aJThIUF8suf38rChZN46cXvkTUmkZaWTn74o1d47PF/c6a5o1/bdVw8S/SRwoNLUalULJg/kd898TU+fP+n3L3qagDWf3LA5f04L6XxnLSX/PyT7N9/kqpK5aQ7MTESnc43ohsd8aJ5eTksXTIFgMxMpQjEFUkgvb0WTp06A0CKJIGcx9H/dNv244NeR3NzB2+/swuAb3xjISqVf/XbFEIIIYQQkJ4eS0CAjq4uk8tuFg6F41wiJjqU8HDfmwkaFRVCREQQVqvNZcXzruBoX5rmo61gACZOTAOgrKyB9vYut21nz95STKZekhIjfbKQaSiuWaDcxN62/bhLWsI42p3kzZFWMOcKDjIwZXIG4Lo0kI8+yqe2tpno6FBuumm2S9bpa/LyctDrtVRVNzkTrYZqy5ajWCxWssYkkm5PQBaKBfMnotGoKS6uobxi8H9Pt9pTQGbNGkNAgN5Vw/MJjiSQngYjo+fMRR8YRGtdHdWHDw96ncXbzm1NcvZ+RXedPZUiIchvr08GJCjFGKbmHlLGTyIkOobu9nZO7tk96HWe2L0Tq8VCTHoGUampzscdKSCG2EDUWmlkIIQQQ+HVT9Hly5fz61//mptuuum858LDw9m4cSO33XYbOTk5zJkzh2effZb8/HwqKyv7LBsUFERCQoLzv/DwsxX2x44dY/369bzwwgvk5eWRl5fH888/z4cffkhRkWujB0eqeEcSSP3Fk0D27i1lzetKasVP/vsmZ+FIamoM//j7f3H77fNQq1Vs2HiQr975NB9+lH/Z4oa6uhYAEvygHcy5QkMDWfW1q9HrtVRWnqa01HNRu1/uRfn8i5uorGwEIDXFd4oZpk8bzRuvP8KTT3zN+eU8I8N1SSD19a309lrQ67XO3x9x1qKFk9DpNBw7Vs3Ro1WDWscb/95Od7eZsTnJEp0rhBBCCOGnNBo12VlKytyx495vCXPypHLjLNNHb56rVCpnW5ITJ1xzk9AVHCmMKT6cwhgVGeI8Jz98uPIySw/etm3KDcUrrhjntzeyLmbC+BTi4sIxGnvYvWdoLWF6ey3OdcybK0UgX5Znb03iKJQZCpOpl5de+RyAu1ddLTfKLyI4yOBMknBVS5hP7a1gFthTdMRZERHBzJ6tJNpu2nRo0OvZsvUoAFddOd4l4/Il3RoTKr0aW68NW4eNnKuVCZdHPt046HUWO1rBXHlln8e7ajsB/20FA6AN0qEN1YENTE0mxi9cCMCRTUPZ31sByD4nBQSg276/A/x4fwshhKuMqGn/ra2tqFQqIiIi+jy+Zs0aVq9eTXx8PMuXL+dXv/oVoaGhAOzcuZPw8HBmzz5bCT5nzhzCw8PZsWMHOTkXPhnr6emhp6fH+e+2NiVBwWw2YzYPfUbAcBIZpfxBbWhsw2QynXchwGKx8tvfvQ3A9dfNYO7c7D77QK2G7/7XEq5ZMIE//PF9Skvr+O0Tb9Pd3cMN18+86HZr65QkkJiYEI/tU8d2vP0z1Os1zJ6dxdatx9iwsYCMDM9czKqpVdIrMtJjqalp5uDBcrqMynGenBzl9f3iSomJ4dhsVsxmJQYwJSUKgPKyhgse5wNRXq5cEE1OisJisWCxWIY+YA/w1PEfEmJgwfyJbNh4kDff2sFPf3J+od+ltLYaeevtnQDcveoqent73TFM4WeGy+e/EJ4mx77wZ546/uX3y73Gjk3mUGEFRUWnWL5sqlfHcsI+e3rUKN8sAgEYPSqB/PyTnDjhuckKl1PlTALxnYkLF5Kbm05VdROHCiucN8ldyWKxsn2HktZ45ZXjXL7+kU6tVrNg/kT+/Z/tfPb54SHddD1ypIr29i7CwgIZPz718i/wM3Pn5vDsc+s4UFBGp7FnSO1b9uwpobGxjZjoUK6/7uLXIAXMnz+RbduPs3nzEb7x9YVDWldrq5F9+SeAsyk6oq8liyazY0cRGzYe5JuDSLitrWumpKQWtVrFvLnSvus8KjDEBtB9ykh3g5EJixZTuP5jjn32KYsf/D4a7cBue3W1t1FZcACA7CvOFiXYLFZ6GpTUkYDEYNeNfwQKiAuio72V7nojExYvYc9//k3xtq2YjEb0QQMr2Og1mSjdpVz7zb7ibNGNzWajy568Epjg3/tbCCFcYcQUgXR3d/P//X//H3feeSdhYWHOx++66y4yMzNJSEjg8OHD/OQnP+HgwYNs3KhUIdbV1REXF3fe+uLi4qiru/hFjSeeeILHH3/8vMc3bNhA0AD/qA13vb3KTfKeHjPvvPM+gYG6Ps83NBipr29Fr1MzZjSsW7fuouu68fpUNm6ycvBQAx9+uB2dtvGCy5nNFpqblarOw4V7KS3x7KHoOD68KTJCuVj80Ud7SE7q8cgsnJ27lNlzIaE2cifFkJ9fR3FJLQCtrXWX/NmOdL29VlQq6Ojs5j9vvkdoyOBnh+TvVz47tFrziNxnnjj+4+OVwo1Nnx4iO0tDUJDuMq84a8vWKrq6TMTFBdHScoJ16066a5jCDw2Hz38hvEGOfeHP3H38G41Gt67f3+XkJANQVDR8kkB8uQhkjDMJZBgVgdhbmKam+W4SCChFIOs+3k+hm5JAjh6toqWlk9CQACZPynDLNka6axYoRSDbth2jp8eMwdD/89hz7dylJFzMnpWFRiNR9l+WlhpDcnIUp06dYd++E1x91eALbhwtZa66avygf17+4op5Y9Fo1JSeqKO6uomUISQCb9lqbwWTlUiaj382D9YVV4wjIEBHdXUTx46fcrZO7i9HK5jc3HQiIuRm+IXo4wKVIpC6LjKvnkFQRATGlhbK8/cxevacAa3rxE57a5KMTKJSzv6suhu7sVlsaAI16ML9O2koICGQjhOt9NR3kbh8LFEpqZyprqJ421YmLlk6oHVVHNiPyWgkJDqGpHFnC1PNLSas3RZUGhWG2ABXvwUhhPA7I6IIxGw2c8cdd2C1WvnrX//a57n77rvP+f8TJ04kKyuLGTNmsH//fqZNmwZwwZvrNpvtkjfdf/KTn/DII484/93W1kZqaipLlizpU4TiK1586SgtLZ1MmjyLrDGJfZ5b++4eoJBJkzO54YbrLruuqKjjHDz0LyCAFStWXHCZispGYB/BwQa+8pXrPBZDajab2bhxI4sXL0an8+7J4YIFJjZs/D0trT2MGTOVnJwkt2/z2PEPgGqmTZ3AjTfO5Kt3PuPsdbts2VXMmD7a7WPwpv+8dZKqqiZGj84d0nstKV0HVDB9+nhWrFjiugG6maeP/737/sHx46foMUVxyy1XXnZ5m83Gx+sLOFCwH4AHH7ieq2SGmnCR4fT5L4QnybEv/Jmnjn9HaqRwj7H286Si4hosFqtXb6iWOYpAfLQdDMAoexFI6Ynay1438QSzuZeaWiVFNC3Vt280TspNA5Rijd5eC1qtxqXr32pvBZOXl+PydfuKCRNSiY0No7GxjT17S7nyisGdjzranMyV2fsXpFKpyMvL4a23drJj5/FBF4HYbDZ27pR93V9hYUFMmzqKvftK+WLLEe6686rLv+giHK1gJAXk4oKCDFx5xTg2bjrExo0HB14Esk1awVyOIU4pEuhuMKLSaBh/zSL2vfMWRzZuGHARSPE2R2uSvtcvna1JEoK9/p3I2wzxysTontNdYLUxYfFitr70Tw5v3DDgIhDH/s664gpU6rPf7R372xAfhEqKKIUQYsiGfRGI2Wzmtttuo6ysjM8+++yyBRjTpk1Dp9NRUlLCtGnTSEhIoL7+/F62jY2NxMdf/MKNwWDAYDg/jlCn0/nkBfS4uHBaWjppPmM87/0dPVoNwJTJGf1676mpsQDU1bdcdPnTjR0AJCREotd7vop2OPwcdTod8+aO5dPPCvliy1EmTkx3+zYbT7cDkJQURUJ8FDffNIfX/6V86crMSPD6PnG3zIx4qqqaqK4+Q96cwV8gqKlRLkKmp8eNyH3mqeP/1pvz+N/fvMV77+/ja3ddfckLjVVVp3nyD++yf7+S+jFt2igWzJ+IWi1f+IVrDYfPfyG8QY594c/cffzL75Z7paXFEhiop6vLRGVlI5leKsBoazNyukk5n8rIPD9t1FeMyoxDpVLR0mLkzJkOoqNDvTqeU6fOYLFYCQoyEBPjexNyzpWeHktoSADtHd2UlNYybuzAbhhejqMI5IpBFjb4A0dLmP+8uYPPPi8cVBFIfX0LpSfqUKlUzJ6V5YZR+oa59iKQnTuLB11wdvJkPfUNrRgMOqZPG+WGUfqe+fMnsHdfKZs3D74IpLXVSL6zFcxEVw7P5yxZPIWNmw6x6dNDPPC95f0uZG1r66KgoByQ9l2Xoo8KQKVRYe22YG4zMWHxYva98xZFW7Zg7u5GF9C/JIlek4kTu3YBfVvBAHTbW5MEJPhWMvxg6ML0qAM0WLst9JzuZsIipQjk5N49dDY3ExwZ2a/12KzWs0U3V/QtujnbCkb2txBCuMKwvrvmKAApKSlh06ZNREdfPqbuyJEjmM1mEhOVNIu8vDxaW1vZs2ePc5ndu3fT2trK3Llz3Tb2kSYhPgKA8oqG8547eKgCgEn9jAtNSFDW1dbWRWdn9wWXqatTbqIn2pf1V9dco1TMf/pZITabze3bq69vAZSiH4C77rySqKgQUlOiiYvz7QtqABkZysXa8vLzj/OBqKr2j57UQ3XNNblERARRX9/CdvtMqAt5993drLrn/9i//yQGg47vfXcZf/7T16UARAghhBBCoNGoyc5Szu+PH/deS5iTZcrkkoSECIKDzp8w4isCAvSkJEcBcOKk91vCVFQoLWbT02N9fgauWq1mYq4yOaSw0LUtYSorT1NR0YhWq2HO7GyXrtvXOJINtm07hsnUO+DXv7N2NwCTJkkLh0uZOiWTgAAdp0+3OdsUD5TjOsP06aOkFUw/XXXleFQqFUeOVtHQ0DqodXyx5QgWi5Xs7CRSfTyhaahmzRpDWFggTU3tHDjQ/1bHO3Yex2KxkpkZR0qyXHu8GJVGhSEmEICeeiPJEyYSnpiIqctIyY7t/V5P+f58TF321iRjz04atPZa6W7oAiAwUT7PVSoVAXFKcUZ3vZHotHQScsZis1g4vvnzfq+ntug4HadPow8MImPadOfjNqvtbNGN7G8hhHAJr95h6+jooKCggIKCAgDKysooKCigsrKS3t5ebrnlFvbt28eaNWuwWCzU1dVRV1eHyWQC4MSJE/zP//wP+/bto7y8nHXr1nHrrbcydepU5s2bB8C4ceNYtmwZ9913H7t27WLXrl3cd999rFy5kpycHG+99WFn6tRMAGeMokNdXQv19S1oNGomjE/t17qCgwMICwt0vv5Cau2PJ/h5EcjcvByCAvXU1bVw5EiV27fnOMFzFP1ERobwrzU/4OWXHvSLG+6Z9hl7ZUMoAjGbe6m1xxGnyMnuJRkMOq5bOROAt9/eecFlTp9u46mnP8Bk6mXmzDGsfvX73HXnVRJPLIQQQgghnMbaExGOF3mxCMTRCmaU77aCcRg9xt4SpnQYFIFU2otA0mK9PBLPmOQsAqlw6Xq3bVdSQKZOzSQkpH8zo/3VxIlKS5jOzh527S4e0Gvb27t4+x1lNvmdX718S1R/ZjDomDFjDHD+tcj+2rnzOAB5c+T6bn9FR4c6W099seXIoNZxthWMpIBcjk6ndRaWvf/Bvn6/butW5TNbWsFcniFeuQfRXdeFSqViwqLFABR8+H6/13FuKsW5rUmMle1gtaEN0aENk0IzgIAE+/6uV4pjJjr290cfYrNa+7UOx/4ePWcO2nMS4rtqO7H2WFDr1Rhi5LuKEEK4glfv+u7bt4+pU6cydepUAB555BGmTp3KL3/5S6qrq3n//feprq5mypQpJCYmOv/bsWMHAHq9nk8//ZSlS5eSk5PDQw89xJIlS9i0aRMazdkbiGvWrCE3N5clS5awZMkSJk2axGuvveaV9zxcXTFPiZY7eKiCtrYu5+OH7BcesrOTCAzsf9uWxAQl/svRu/fLHDfRExL6FxPmqwwGnTOK1XES5S6dnd10dCjJLI4kEIDQ0MAB/WxHMlckgdTUNmO12ggM1BPj5WjkkeDGG2ehVqvYl3/igvv9w4/ysVis5Oam8ec/fZ1k+6xDIYQQQgghHHJykgAoKqrx2hicRSBeakfjSWNGK0UgjvfsTecmgfiD3InKzdlDhRUuTQt1FIEMpr2Jv1Gr1SxaOAmAN/69bUA/h7fe3onR2MOoUfHMmyuFCZczd46SSrNjEEUgbW1GCg8riTlzZV8PyAJ7UcKbb+2kt9cyoNfW1JxxtvF1FDeIS7v+OmVy1KZPD3Ho0OUL/Hp6zM4CtCulCOSyAuLPJlPYbDYmr1iJWqOhbO9eirdvu+zrbVYrxVvtRSBX9i3eay9RJlOGjAn3+TSy/nIkgfQ0GLFZbUxYvARdYCB1Rccp/GR9v9ZRvHULcH4rmA7H/h4djkot+1sIIVzBq0Ug8+fPx2aznfffyy+/TEZGxgWfs9lszJ8/H4DU1FS++OILmpqa6OnpobS0lGeeeYaoqL43EaOioli9ejVtbW20tbWxevVqIiIiPP+Gh7Hk5CgyM+KwWKx9ZjocOlQOnJ2N0l+JSUpxR+1FikDq7G1JEhP9uwgEYKH94sJnnxdi7WfF7GDU1ytfpEJDAgjy4fjiS0lPi3H2t25u7hjUOhwXIVNSouUEoB8SEyKdRWar12zp85zFYuW99/cCcOMNs2V/CiGEEEKICxqbkwxAcUkNFov7zpkuxdEOxi+SQEbZk0BODIMkEGcRiH+kMI4fn4JGo6axsc15Dj9Ura1G543HefPGXmZpAXDH7fPQ6TQUFJSTv79/LRyMxh7+86Yyae3uVfP9Im11qPLylOKNI0eqaGnpHNBrd+0uwWq1kZkZ55yIJvpn5bXTiYgIprq6iXUf7+/362w2G3/68wdYLFZmzhhDSoq0KemPsWOTuW7lDACe+tP7ly28yd9/kq4uE7GxYYy1F8GKiwuID0KlUdHbYcZ0poeolBRm334HABuf+TPmnp5Lvr7m2DE6zzShDwoifeo05+PmdhPdNcrnUsiY8Iu93O/oowNQGzRYTVa664yEREdz5T1fB+DTvz5Hd3v7JV9/prqaxrIy1BoNo/PynI9beix0ViivDcmKcNv4hRDC38gZiXByXAzYbp8hAjgvFEyaNMAiEPsJWG3dRYpAnEkgEQMdps+ZPSuLkJAAGhvbOHzYfS1hHK1g4u2tYPxRQIDeWXg02DSQ7duVuNHx41JcNi5fd/fd8wFY/8mBPvt91+5i6utbCAsLlBhRIYQQQghxUampMQQF6unuNjuLAjzJZrNRVqZ8j830gyQQRzuY8vKGAc8SdyWbzeZ37WACAvRkZSUCZ5NZh2rX7mKsVhtZYxLlZnk/xcaGc8P1yuz9F//5ab/SQN7/YC+trUZSUqJZeI0kJPRHfHwEY0YnYLPZ2L2nZECvdaSHzM2TwqaBCgoycI/9Os1LL31GT4+5X6/bsvUYO3YUodVq+MEPVrpxhL7nv769hNDQQEpKa3ln7e5LLrtly1FASe2WYrLLU+vUBKaGANB5sg2AK+75OqFxcbTU1rBj9aXT4B2pFKPn5PVpTdJRqlxHD0gMQhfqHwna/aFSqwjOUJKxO04q+2jWbbcTk56BsaWFzS/845KvL96m7O+0KVMJDA1zPt55ohWsNvRRBgzR0gpGCCFcRb5JCCfHbP1du4rp7bXQ3t7FCXv864CTQOw32usukARiMvVyukmp7JQLEKDXa5k9KwuA/P0n3LYdR/pKXLx/Vy9n2lvClA2iCMRk6mXz5sMALFo0yaXj8mXjx6Vw5ZXjsFptvPjPT52Pv/vuHgBWLJ+OwSC9NYUQQgghxIVpNGqyspXZsMeLTnl8+2fOdNDaakStVpHhB21JkhIjCQzUYzL1Ul3d5LVxNDW109nZg0ajJjnZf2acO66/FLqoCGSP/eb6HHvrDdE/q752NXq9loMHy8nPv/S1GpOpl9f/pbQd+NpdV6HRyOXW/nKkgezYcbzfr7FYrOy2pxhLK5jBufGGWcTFhVPf0Mq77+257PJGYw9//vMHANx155VkpMe5e4g+JTIyhO98ewkAz7+wkaamC6clHDhwkvWfHADgqqukFUx/hWQqxQQdZa3YbDb0QUEsfuAhAHa+vpoz1dUXfF1tURH5774DQM45rWBsNpuzCCRUUinOE2zf38aKdmwWKxqdjqU/eASA/e+upbbowi2+mior2fX6GgCyr7yqz3Pt9v0tKSBCCOFaclYinCZMSCUiIoj2jm4OHarg8OFKbDYbKSnRREeHDmhdZ5NAWs57rt5ejBAQoCM8PGiow/YJkydnAPSrN+RgOZNA4iLcto2RIMNeBDKYJJDde0po7+gmJjqUKZMzXT00n3b/txajUqn49LNCiktqqKtrYecu5aTghhtmenl0QgghhBBD98ILLzBp0iTCwsIICwsjLy+Pjz/+2Pm8zWbjscceIykpicDAQObPn8+RI0f6rKOnp4cHH3yQmJgYgoODuf7666n+0oXr5uZmVq1aRXh4OOHh4axatYqWlhZPvEWvGjtWaQlz9Kj70hMv5qR9ckRKcrRfFC+r1WpG2RNPTnixJYwjBSQpMRK9Xuu1cXiaowjEFUkgNpuNvXtLAZg5c8yQ1+dPYmPDub6faSDr1uVz+nQbcXHhLF821VND9Alz7UUgu3aX9Dt56OjRKlpbjYSGBJA7Mc2dw/NZBoOOe+9ZAMCrr22mq8t0yeVfevlz6htaSUyMdKaIiIG57rqZjB2bTGdnD3/56/rznj92vJof/fdrmEy9XDFvLDNnjPbCKEemwJQQVFo1ls5eehq6ABg7fwGZM2diMZnY8MzT532Gn64o540f/oCezk7SJk9h7NULnM911xrp7TCj1qsJSh/YPRF/EBAfhCZQi9VkpeuU0jInY/oMxi9chM1q5ZOn/4jtSy3vW+vreP0H36ezuZn4rGwmL1/hfK6nqRtTUzeoVYSMCkMIIYTrSBGIcNJo1OTNUU6+tm0/zsFBtoKBs0kgtTVnznvO0SImMSESlUo12OH6FMc+Pnyk0m09rs+2g/HvJJCMDGXm3mCSQDZuPAjAwoWTZGbPAI0eneCMxH3hhU188OFerFYb06aN8ptoZyGEEEL4tuTkZH73u9+xb98+9u3bxzXXXMMNN9zgLPT4/e9/z5/+9Ceee+459u7dS0JCAosXL6b9nN7ZDz/8MGvXruWNN95g27ZtdHR0sHLlSiyWszfG7rzzTgoKCli/fj3r16+noKCAVatWefz9etpk+znTgQNlHt/2yTKlCGTUKN9vBeMwarTyXku9WQRib/2T7gfpK+fKzVVuap84UUensWdI6zpZVs/ppnYMBt2AE17FOWkghyrYt+/CaSBGYw+r1yjx9nd+9Up0Ov8pWHKFCRNSCQ0NpL29iyNH+lfkt32HMqFk1uwstFqNO4fn01ZeO53k5Ciamzt5860dF13uxMk63vi3knTzyMPXERAgrTEGQ6NR8+gPb0ClUrH+kwO89PJn1NknT5aV1fPID1/GaOxh2rRR/O//fFVawQyAWqsmKN3eEqZMaQmjUqlY+vAjqLVaTuzayWd/+yvNp5TC6pbaWl7/wfcxtraQkDOW2578Axrd2SLf9pIWQEm8UGvl5/BlKrWK4Ex7Sxj7/gZY+L0H0QcGcerIEdb/6Skay5Tv7B1nzvD6Dx6mraGe6PR0vvrU0+iDzk4M7nDs77QQNAHyN1QIIVxJ/oqJPubNU3ppbt9+jEOF5QBMnpQx4PUkJEQA0N7RTXt7V5/nHF9wExKlFYzD6FEJBAUZ6Ozscc4yczVHO5j4+Ai3rH+kcLSDqSgfWC/xri4T27YfA2CxtIIZlG99cxEajZpt24/znzeVCwxfuWGWl0clhBBCCOEay5cvZ8WKFWRnZ5Odnc1vfvMbQkJC2LVrFzabjT//+c/87Gc/46abbmLixIm88sorGI1GXn/9dQBaW1t58cUXeeqpp1i0aBFTp05l9erVFBYWsmnTJgCOHTvG+vXreeGFF8jLyyMvL4/nn3+eDz/8kKKLRC/7iqlTRqFSqSgrb+DMmQvHqLuL4xzNn4pAssYkAnDsuOfb7zg4ikDS/KxoPDY2nISECKxWG0f7eVP8YhwpIFMmZ/hVmoqrxMaEccMl0kB6ey38/Bf/oqa2mejoUK6/boY3hjmiabUaZ4vkNf/a2q+JUTt3Kn/v5uaNdevYfJ1Wq+Fb31wEwJo1W2hrM563TFNTO7/5zdtYLFauunK887qxGJzx41K40X4d7PkXNnHTLb/nuw/8g+//4CVaW42MG5fCk79b5RepY67maAnTWd6Gzap8VkenpZN319cA2PWvNfz1jtt46dv3sebhB2lvbCQmPYOv/vFPGIKDneux9FgwVijfM6UVzMUFj1ImmRor27H2Kp/bYbGxXP2t+wDY/95a/nH3XbzwjXtY89ADnKmqJCw+njuf+jPBkWfvCdksVjpOKoUk0gpGCCFcT84ARR+zZylV9FXVTdTUKokdg0kCCQoyEBERREuLkbq6FkJDA53P1drXm+DnxQjn0mjU5E5MY/eeEg4dKicrK9Hl23AkgcTF+XcSSLq9COR0UzttbV2EhQVe5hWKbduP0d1tJjk5inHjUtw5RJ+VlhbD8mVT+fCjfDo7e4iMDJYep0IIIYTwSRaLhTfffJPOzk7y8vIoKyujrq6OJUuWOJcxGAxcffXV7Nixg29/+9vk5+djNpv7LJOUlMTEiRPZsWMHS5cuZefOnYSHhzN79mznMnPmzCE8PJwdO3aQk5NzwfH09PTQ03M2UaCtTbnYajabMZvNrn77bhEUpGP06HhKS+vYu7eUa66Z6LFtnzippGGkpkYPu/3lGI+rxzVxYioAhw6VYzR2eSXdwNHCMyU5ctjtd3ebOCGVuroW8veXMmXK4BM8du8pAWD69Eyf24fuOva/7I7b5/Le+3s5VFjBk79fy3e+s4SgQAM2m40nfreWXbuLCQjQ8ev/uQONRuVz+9kTbrl5Nl9sOcK2bcd45v8+5MEHll902XUfH6CktBaNRs0MHzyu+8tVx//VV40jMyOOsvIG7v3Gczz80LXk5WUDsP9AGf/7v29xprmDkOAAHvjeUr/d3670wANLGTMmno0bD1FwsJyCgnJAmbT25BN3odepZT9fxoWOf22sAZVejaXLQsepNgISlKSJuavuISI5hSMbPqFifz41R5WEvvCEBG79/R/RBQf3WU9HaSs2iw1thB5VuEZ+FhehDtegCdZi6eylvbzVmcQy5cavEBwdQ+EnH1O2Zzf1Jcr3kODIKG77w58IjIrqs0+NFR1YeyxogjRoY/Wyv/vBU99/5GchhG+QIhDRR3BwAFOnZrJ3bykWi5WIiCDSUmMGta6EhEhaWozU1jX3KWpwJFIkShJIH5MmpbN7TwkHD1Vw8815Ll23zWZzFoH4e/FNcJCB+Lhw6htaqahoIPcCkbjV1U30WixkpMc5H9u46RAAixZOkjZGQ/D1e69h/ScF9PZaWHntDInKFUIIIYRPKSwsJC8vj+7ubkJCQli7di3jx49nxw4lBS0+vm+SRHx8PBUVShvOuro69Ho9kZGR5y1TV1fnXCYuLo4vi4uLcy5zIU888QSPP/74eY9v2LCBoHPimIe7CHs9+7vvfUF3d6VHtmmz2SgtqQGguuo469Z5ZrsDtXHjRpeuz2azERSkxWg089JLb5OSEurS9fdHUbGSgnHqVCnr1rknMXO4CjAoM/LXvruL+Lhu1OqBn4P29lrJz1damHR31bJu3TqXjnG4cPWxfyHz5ibx+eZK3v9gH1u2FnLtitGcONHCrt01qFSwckUm5eWHKC8/5Pax+KplSzP54MNS3np7F2fO1DBzxvmToxobjby6WrmBO29uEjt2fOHpYQ47rjj+r7wylqYzLdTVtfD//XQN2VmRxMQEsXPXKWw2iIkJ5MYbssjPv3jLGDEwahUsXRJP3pwIjh1r4kxLN1fOS2b79s3eHtqI8uXjP1kVTzThFG09yqngvm3AQ+ZfQ/bMWbQeP053YwNxc+ayde/e89Y5pjWNIAKo7Klm/8eH3Tr+kS7BEkMcUZTtKqHiSG2f5wLnXUn2tBm0FR3HWFNDzKxZ7Dp0CA71/TuZ0Z5MGMHUWBs4sP6YJ4c/4rn7+4/ReH46lBBi5JG7b+I8V8wb64wMnZSbMegb3kmJkRw/fsqZ/OFQ50gCsbeMEQpH252Dh8qx2WwuLTRobunEZOpFpVIRGxvmsvWOVKNGJ1Df0MpLL3/O7574Wp9Y3O07jvPTn63BarXxyA+u4ys3zqatrYtdu4oBWLxosreG7RMSEyP53neXsXnzYW67da63hyOEEEII4VI5OTkUFBTQ0tLC22+/zT333MMXX5y9SfXl7/j9+d7/5WUutPzl1vOTn/yERx55xPnvtrY2UlNTWbJkCWFhI+f8ICKyiH35r9N0xsKKFSs8ss26uhZM5j1otRruvPMraLUaj2y3v8xmMxs3bmTx4sXodK6Nj9+7r5PPNx9Bb4hnxYr5Ll335XR1mXjyD7sBuP326wgPHznFSq6wcJGZrdv/RGurkYiI0VxxxcBbMOw/UEZv716iokK4++6bfW4ygzuP/S9bsQKuW3mSJ55cS2NjG6//65izNcyPf3QjK5ZPdev2/cGKFZCcvI3/9/eNfL65iquvnsP8qyc4nzd29fDt//oHvb1WZs0cw+OP3YVa7b9dzl19/H/1qz288soXvPnmTopLmikuUa7dLl82lYe/v4KAAP2QtyGEq1zs+O+uNXL60xpibVFMWjodlWZgf/d6Grtp/KQa1DD92lloAuTW2aWYmnto+KiKcEsYyxZNRq0f2GeyudVE/QdKcfXkpVPRhsrnTH946vuPIzlSCDGyyV8ycZ4r5o3j6T9/CAyuFYyDI+nj3CKQ3l4LJSVKZWi6n/X1vZzx41PQaNQ0NrZRV99CYoLrklIa6pUUkOiokGF30dIb7r17Pvv3n2TX7mJ+9vPX+c2v70Sv17Jl61F+/ot/0dtrAeAPf3yPyqrTZKTH0dtrYdSoeL/qA+4ut982j9tvm+ftYQghhBBCuJxer2fMmDEAzJgxg7179/LMM8/w3//934CS5JGYeHZ2c0NDgzMdJCEhAZPJRHNzc580kIaGBubOnetcpr7+/ESExsbG81JGzmUwGDAYDOc9rtPp3H7z1JWmTxuDWq2iurqJ5majR1pdVlY1AZCeHktgYIDbtzdY7vhZzpgxhs83H6GgoBzdtzx7nJwsawQgIiKImBj/a2mq0+m4buUMVq/Zwrvv72XBgtwBr+PAgTIAZs4cg17vuzdWPPU5NmdODqtf/T5/fuZDPl5/AIBv37+EG66f5fZt+4tVX5tPY2M7b7+zi9/89h0OHChn6ZIp5Oam8edn1lFZeZrY2DB+9cvbLvg3zR+56vgP1+l46MFruXbFdP74p/cpKanl4e+vZOW1010wSiHc48vHvzYljObAeixdFnobTQSlhgxofWeKlO/YIaPDCQjtX/twf6aN1aIL12NuNWGq7SZ0zMC+r7UWnwYgKDWEwKhgdwzRp7n7+89IOkcUQlyc/5ZMi4tKTIwkNzcNjUbN7NlZg15Pgr2IobbubBFIUVENxi4ToaGBjB4tN9PPFRCgJyc7CYBDhypcuu56ewueeD9vBeOQm5vOH55chV6vZfuO4/z8l/9i46aD/Oznr9Pba2HhNbnc961FAPz739v509PvA5ICIoQQQgghBsZms9HT00NmZiYJCQl9YntNJhNffPGFs8Bj+vTp6HS6PsvU1tZy+PBh5zJ5eXm0trayZ88e5zK7d++mtbXVuYwvCwkJYGxOMgD5+096ZJsnTyo3BEZlnt+Gx9dNnzYagMNHKunp8Wxf8IoKpQjEnyeP3HjDLFQqFXv3llJZeXrAr99jT3idNWOMq4fmt0JDA/nFz2/lmae/wf88fgd3r7ra20PyKSqVioe/v5L5V0/AZOrl3ff28J3v/YMbvvIkn3xSgEaj5n8eu4PIyIHd2BX9N3p0An/7y/188vEvpABEjDgqtYrgDCXhruNk64Bea243YaxoByB8QpTLx+aLVCoVwZnK/u48MbD9benupaNUeU3YxGiXj00IIYRCikDEBT35xCpeeelBRo9KGPQ6HEkgdbUtzsf2H1Au1E2dkunXsY0XM8neEubQoXKXrre+QflS5YmZciPFjBlj+L29EGTbtmP86rF/Y7FYWbJ4Mr/65W18/d5r+J/H70Cv12I2K8kgixZO8vKohRBCCCHEcPX444+zdetWysvLKSws5Gc/+xmbN2/mrrvuUm5sPfwwv/3tb1m7di2HDx/m3nvvJSgoiDvvvBOA8PBwvvnNb/LDH/6QTz/9lAMHDvC1r32N3NxcFi1SCpTHjRvHsmXLuO+++9i1axe7du3ivvvuY+XKleTk5Hjz7XvMtGmjAMjff8Ij2ysrU3rKZ2b63ySG1NRoYmPDMJstFBa6dqLC5VRWKkUgaen+WwSSlBTF3Dzl9/qdtbsG9NrWViNFRTUAzJgpRSCuNnPmGBYtnORzLXaGA41Gza//96v8+emvs2L5NIKCDDQ1KTdm779vMZMnZ3h3gH5Co5FrtmJkCrGnUXSWtWFq6en369qOngEbBCYFo48cvslvw03I6HBQQVdNJ90NXf1+XdvxZmwWG/roAALiJXVFCCHcRb7RiQuKiAgectuLpMTzk0D222drOS7cib4m29vvHJQkEI+YNTOL3z3xNfR6pTPW8mVT+cXPb3W2zFm0cBLP/t+3iI+PYNHCSSQnSyW4EEIIIYS4sIaGBlatWkVOTg4LFy5k9+7drF+/nsWLFwPw4x//mIcffpjvfve7zJgxg1OnTrFhwwZCQ0Od63j66ae58cYbue2225g3bx5BQUF88MEHaDRnWzquWbOG3NxclixZwpIlS5g0aRKvvfaax9+vtzjOJfd7KgmkzJ4E4odtIVUqlTMNZF++Z/a3Q3m5Unzjz0kgADffNAeAdR/vp6vL1O/X7dtXis1mY9SoeGJjwtw1PCHcQq1WM2tmFj//2S189MFP+fX/fJWf/fRm7rrzSm8PTQgxzBliAglKCwEbNOc39us1lh4L7cWOVAq59jsQujC9s/DmzL56bDbbZV9j7bXSdky5XxQ+MUoKKoUQwo203h6A8F0JCREAdHR0097eRWCgnkP22UPTpmZ6cWTDV669COTkyXra2roIC3NNJWyDPQkkPl6SQL5szuxs/v63b3OyrIEliyefN9shd2Ia77z1I/lCKoQQQgghLukvf/kLYWEXv9mqUql47LHHeOyxxy66TEBAAM8++yzPPvvsRZeJiopi9erVQxnqiDZ5UgYajZq6uhZqas6QlOS+i/UWi9VZjOCPRSAA06ePYv0nBzyWvOJQYW9/ku7HSSAAs2aNISUlmurqJj7ZUMCNN8zq1+v27FNawcyUFBAxwhkMOq65JtfbwxBCjCCR0+MwVnVgrGynu8FIQFzQJZdvL27B1mtFF2kgMCnYQ6P0HZFTYuk82UZPfRdd1R0EpYZecvnOk21Yuy1ogrXO9j1CCCHcQ5JAhNsEBOiJjFS+ONXUNnP8+Cm6ukyEhQX67QW0y4mKDCEtNQaAwsOuSwOpcyaBSBHIheTkJLN82dSLxl1KAYgQQgghhBDDQ2CgngnjUwHId3MayKlTZzCZejEYdM6kS3/jSF45fvwUnZ3dHtmmxWKlqkqKQEBJRPjKjbMBeOedXf2aYWuz2dizRykCmTVDikCEEEL4F32E4Zx0ioZL/u20WWxKKxggfIKkUgyGNkRH2DilKPvMvkZs1kvsb5uN1iNNAISPj0Kllv0thBDuJEUgwq0SE5QLZXW1zew/UAbA1CmZqNVy6F3MJHsaiCt7LjuSQOLiIly2TiGEEEIIIYTwhunTlcIEdxeBnCyrAyAzI85vz2ETEyJJTo7CYrFScLDcI9usq2vBZOpFp9M4ryn4s2tXTMdg0FF6oq5fP4OTZfXU17eg02mYMkVSWIUQQvifyKmxqDQqZzrFxXSWt2Ex9qIJ1BAySlIpBit8UjRqvRpzSw8dJ1svulzXqU7MLSZUOjWh2RGeG6AQQvgp/7yKITwmMUm5YFNb18z+A8oFuqlTR3lzSMPepEkZABw81P8iEJOp96LP9fZaaGpqByA+TpJAhBBCCCGEECObI51if/6JfiUjDFZZmX+3gnFw7O/8fPcW3ThUVDYCkJoac9G0Rn8SFhbIsqVTAPjH8xsve8x/+GE+ALNnZxMYqHf38IQQQohhRxusI2z8pdMpzB1mzuxTvuuFjYtCJd85Bk1j0BA+SUk3b97fiLXXet4ylq5ezuypByA0OwK1XuPRMQohhD+Sv2zCrRyzdqqqmjh0qByA6dOkCORSJtuTQI4dq75kcYfDlq1HWbz0cVav2XLB5xtPt2G12tDpNM72PEIIIYQQQggxUk2ckIZer+V0UzuV9rYh7nDypHKhelSmfxeBTJ82GsA5scPdKiqUIpD0NP9uBXOue+9ZgF6v5eDBcnbsLLrocj09ZtZ9vB+AG2+Y5anhCSGEEMNOeO7ZdIqWg6f7FIL0Gs3Ura/AYuxFF64nbJwkjw1V2LhINEFaLJ29NO9r6LO/LT0W6j6pxNxqQhOsJXxitBdHKoQQ/kOKQIRbJdr7Jm/ZepTubjPh4UFkZsZ5eVTDW0pKNFFRIZhMvRw+XHnJZdvbu/jDH9/DbLawfcfxCy7TUK9EsMXGhvtthLEQQgghhBDCdxgMOiZOTANg69ZjbtuOswjEz5NAHBM5SkpqaW01un17ziKQdCkCcYiPj+DWW+YC8Lf/9wkWy/kzbAE++/ww7e1dxMdHMHtWlieHKIQQQgwrGoOGiCnKd4mWgtPUrqvA1NKDpbuXuvWV9Lab0YbqSFiaJqkULqDWqomcrtz3aTvWTM0HZfQ0dWM1WajbUImpuQdNoIbEpelog7ReHq0QQvgHuSMs3MqRBOJoRzJ1SqYUIlyGSqVixowxAOzZW3rJZf/+jw3OfVt1kRlw9fUtACTESysYIYQQQgghhG9YtmQKAP95c0e/EhQHymTqdaaM+HsRSHR0KJkZcdhsNo+kgZSVK8U3UgTS16qvXU1oaCAnT9az/pMDF1zmvff2AHD9dTOklY4QQgi/FzY+kui8BFQ6NT2NXZx6r4yaD8qVRIogLQlL09AG67w9TJ8ROiac2KuSUBs0mM70UPNBGac+KMd0uhu1QUPC0nR04dKqTgghPEXOCIVbJSb1jVKbOjXTSyMZWWbPtBeB7Cm56DJHj1ax9t09zn+fOdNBZ2f3ecvVNyhJIHFxEa4dpBBCCCGEEEJ4yZIlU4iNDeP06TY+2VDg8vVXVZ3GYrESHGwgNjbM5esfaWbMUFrCfPHFEbdux2KxUlpaB0B2VqJbtzXShIUFcs+q+QA8/8ImenrMfZ4/ebKeQ4UVaDRqVq6c4YURCiGEEMOLSqUibGwkKTeOIjA5GKw2ejvMSiLFsjR0oVKQ4Goho8NJ+coogjNCwQa9bSbUejUJS9PQRxq8PTwhhPArXi0C2bJlC9dddx1JSUmoVCrefffdPs/bbDYee+wxkpKSCAwMZP78+Rw50veCQ09PDw8++CAxMTEEBwdz/fXXU11d3WeZ5uZmVq1aRXh4OOHh4axatYqWlhY3vzsBkBAf0eff06aO8s5ARpiZ9iKQouIamps7znu+t9fCk394F5vNxrKlU4mMDAagqqrpvGUb7EUg8ZIEIoQQQgghhPARer2WO26/AoA1a7ZctD3GYJ0sO9sKRqVSuXTdI9HSpVMB2PzFEdrauty2narq03R1mTAYdKSlSRLIl9188xzi48JpaGjl7bd39XnuvfeVSSJXzBtLbIwULgkhhBAO2hAd8YtTibkyieCMUBKWpaMLl4IEd9EEaolbkELcgmSCMkJJWJqGITrA28MSQgi/49UikM7OTiZPnsxzzz13wed///vf86c//YnnnnuOvXv3kpCQwOLFi2lvb3cu8/DDD7N27VreeOMNtm3bRkdHBytXrsRisTiXufPOOykoKGD9+vWsX7+egoICVq1a5fb3J5RezdHRoQCEhweRmRnn5RGNDDExYYwZnYDNZmNf/onznn/7nV2UlNQSGhrIAw8sJzUlBlAumH2Zox1MfJwUgQghhBBCCCF8x/XXzyQ0NJDKqtNs2XrUpes+edJeBJLp361gHMaNTWbUqHhMpl42fXrQbdspLqoBICsrUdqZXIDBoOO++xYD8Mqrn7Nnr5Ie2tNjZv16pUXMDdfP8tr4hBBCiOFKpVIROiacuAUp6COkAMQTgjPCiF+QgiEm0NtDEUIIv+TVM+rly5fz61//mptuuum852w2G3/+85/52c9+xk033cTEiRN55ZVXMBqNvP766wC0trby4osv8tRTT7Fo0SKmTp3K6tWrKSwsZNOmTQAcO3aM9evX88ILL5CXl0deXh7PP/88H374IUVFRR59v/4qISECUFrBqNVyEae/Zs/OAmD3l1rCnD7dxvPPbwTgu99ZRlRkCKmp9iKQqvOLQCoqGgFITo5253CFEEIIIYQQwqOCgwzccvMcAF5b/QU2m81l6z43CUQoN05WXjsdgA8/ynfbdoqKlSKQnOwkt21jpFu6ZAo52Um0d3Tz8A9e4vs/+Ccvvfw57R3dJCZGMmvWGG8PUQghhBBCCCGEl2m9PYCLKSsro66ujiVLljgfMxgMXH311ezYsYNvf/vb5OfnYzab+yyTlJTExIkT2bFjB0uXLmXnzp2Eh4cze/Zs5zJz5swhPDycHTt2kJOTc8Ht9/T00NPT4/x3W1sbAGazGbPZfMHXiAvLGpPAkSNVzJ6V5fV959i+t8fRH9OmZbLm9a3s2VOCyWRyRhCveX0Lxi4T48Yms2zpJMxmM8nJkYBS8HHue+vqMlF96gwAGRkxI+J9C/cZSce/EK4mx7/wV3LsC3/mqeNffr+865ab83j9X9s4fvwU+fknmDHDNTfAHUkgmZIE4rR0yRT++rdPOH78FKWltYwZk+jybUgRyOVpNGqe+fM3eOnlz3n7nV3s3VvK3r2lAFx/3UyZfCOEEEIIIYQQYvgWgdTV1QEQH9/3gkt8fDwVFRXOZfR6PZGRkect43h9XV0dcXHntyCJi4tzLnMhTzzxBI8//vh5j2/YsIGgoKCBvRk/l55m5dZbcrBZa1i3rtbbwwFg48aN3h7CZfX2WtFq1Zw+3c6rr75NbGwQXV29vLNWiXidMCGE9evXA9BQrxR6HD5ygnXr1jnXcaqmHZvNRnCwjh07vvD8mxDD0kg4/oVwFzn+hb+SY1/4M3cf/0aj0a3rF5cWGRnCddfN4K23dvLami0uKQLp7jZRU9MMSBLIuSIjQ7jiirFs3nyEj9bt5/sPXevS9dtsNortRSDZOVIEcilhYUF8/6FrueXmPP7x/AY2bjpEUKCea1dM8/bQhBBCCCGEEEIMA8O2CMTBkX7gYLPZznvsy768zIWWv9x6fvKTn/DII484/93W1kZqaipLliwhLCysv8MXw4zZbGbjxo0sXrwYnU7n7eFc1tbtzezZU0pAYBIrVszllVc3YzZbGTM6gQe+91XnMZwztp533y+hvd3C8uXLnY+//8E+4CgTxqezYsUKL74TMRyMtONfCFeS41/4Kzn2hT/z1PHvSI0U3vPVO65g7drd7N1bSmFhBbm56UNaX3l5IzabjYiIYKIiQ1w0St+w8toZbN58hPWfHOC731mKTue6y0o1Nc10dHSj02nIzDh/Mo84X3JyFI8/dgff+MZC1CoVMTFyvUoIIYQQQgghxDAuAklISACUJI/ExLMRow0NDc50kISEBEwmE83NzX3SQBoaGpg7d65zmfr6+vPW39jYeF7KyLkMBgMGg+G8x3U6nVxA9wEj5ec4Z3Y2e/aUkp9/kptvyuPtd3YDsGrV1ej1eudymRnKsdzR0U1np4lI+4XKsrIGALKykkbE+xWeMVKOfyHcQY5/4a/k2Bf+zN3Hv/xueV9iQiQrlk/jgw/38fSfP+SF578zpJYYJ8uUawiSAnK+WTPHEBMTxunTbWzbfpwF8ye6bN1FxacAGD0qwaXFJf4gPS3W20MQQgghhBBCCDGMDNuz6szMTBISEti4cSNTp04FwGQy8cUXX/Dkk08CMH36dHQ6HRs3buS2224DoLa2lsOHD/P73/8egLy8PFpbW9mzZw+zZs0CYPfu3bS2tjoLRYQYrmbNzALgQEEZb729k9ZWI8nJUeddaDMYdMTHhVPf0Ep1dZOzCKS0VGl5NGZMgmcHLoQQQgghhBAe9O37F/PZ54UcLzrFR+v2c93KGYNeV1GRUowgRSDn02o1rFg+lVdf+4IPP8p3aRGIoxVMVnbiZZYUQgghhBBCDFcWiwWz2eztYQjh83Q6HRqN5qLPe7UIpKOjg9LSUue/y8rKKCgoICoqirS0NB5++GF++9vfkpWVRVZWFr/97W8JCgrizjvvBCA8PJxvfvOb/PCHPyQ6OpqoqCgeffRRcnNzWbRoEQDjxo1j2bJl3Hffffz9738H4P7772flypXk5OR4/k0LMQCZmXHExobR2NjG8y9sAuCur16JVnv+L3Vqagz1Da1UVp0mNzcdq9VK6QkpAhFCCCGEEEL4vqioUL75jYX837Pr+Nv/+4T5V08gNDRwwOvZvaeEd9YqCYy5E9NcPUyfcO2K6bz62hfs3l1MY2MrsbHhLllvUZFSBJKTneSS9QkhhBBCCCE8x2azUVdXR0tLi7eHIoTfiIiIICEhAZVKdd5zXi0C2bdvHwsWLHD++5FHHgHgnnvu4eWXX+bHP/4xXV1dfPe736W5uZnZs2ezYcMGQkNDna95+umn0Wq13HbbbXR1dbFw4UJefvnlPpUva9as4aGHHmLJkiUAXH/99Tz33HMeepdCDJ5KpWLWzCw+WpdPb6+F6OhQli+fdsFlU1Oj2Zd/gqqqJgDq6lowGnvQ6TQSDSuEEEIIIYTwebfcnMd77++loqKRf770Gd9/6NoBvb6kpJaf/fx1LBYrSxZPZuE1uW4a6ciWmhrDlCkZFBSU8977e/nWNxcNeZ02m42iYkcRSPKQ1yeEEEIIIYTwLEcBSFxcHEFBQRe8KS2EcA2bzYbRaKShoQGAxMTzEzW9WgQyf/58bDbbRZ9XqVQ89thjPPbYYxddJiAggGeffZZnn332ostERUWxevXqoQxVCK+ZNWsMH63LB+CO2+dhMFy453hqagwAVVWnASixt4LJzIy/YHKIEEIIIYQQQvgSrVbDw99fyQ8eeYm33t7J9dfNIDOzfy1d6utb+OGPXsFo7GHa1Ex++pObUavVbh7xyHXzV+ZQUFDO2nd3c/eq+ej1Q7u81NjYRktLJxqNWpIshRBCCCGEGGEsFouzACQ6OtrbwxHCLwQGKumnDQ0NxMXFndcaRq5oCDHMzZqZRUhIAFFRIdx4w6yLLvflIpDS0loAxoyWC2hCCCGEEEII/zB7VhZXXjkOi8XKn/78ARaL9bKvaWvr4pFHX+b06TYyM+N44rdfG3JRg6+7+uoJxMaG0dzcyaefFQ55fY4UkPT02ItOfBBCCCGEEEIMT2azGYCgoCAvj0QI/+L4nXP8Dp5LikCEGObCw4N45eUHeemfDxAcHHDR5VJTlCKQ6lNNWK3Ws0UgMotKCCGEEEII4UceeuBa9Hot+fkneeJ371yyEKSm5gz/9d3/R1lZAzExYTz1h3sJDQ304GhHJq1Ww01fmQPAm2/uuGTKa38UFZ0CICc7achjE0IIIYQQQniHtIARwrMu9TsnRSBCjACJCZHExoRdcpmkpEg0GjXd3WZOn253toMZM+b8PlBCCCGEEEII4auSk6P4xc9uQaNRs+7j/RctBCk8XMm37v8b5eWNxMaG8fRT95KQEOH5AY9Q1183A71ey/GiUxw+XDmkdRXbk0CypQhECCGEEEIIIYQYMikCEcJHaLUaEhMjAThedIqamjOAtIMRQgghhBBC+J+FCyfx2C9vcxaC/PaJt7FYrFitVpqbO/j44/08+NALtLR0kp2dxAv/+A6j5dxpQCIjQ1iyeDIA/3lrx5DW5WgHk5MjRSBCCCGEEEIIIcRQSZNbIXxIamoM1dVNfPHFEQBiYsKIiAj28qiEEEIIIYQQwvMWLpyESqXiV4//m4/XH2DHziI6Orr7pIJcMW8sj/3qdoKCDF4c6ch1yy15fPhRPps3H6GhoZW4uPABr+PMmXYaG9sAyMqSIhAhhBBCCCGEEGKoJAlECB+SlhoDwNZtxwDIGiMz2YQQQgghhBD+65prcnn8sdvRaNS0thqdBSAREcHcvepqnvjt16QAZAiys5KYMiUDi8XK2nd3D2odxcW1gHI+Gyw/CyGEEEIIIYQQYsgkCUQIH5KSEg1AR0c3AGPGJHpzOEIIIYQQQgjhddcsyGXypAwaGluJjgolKioErVbj7WH5jFtvmUtBQTnvvb+Hr95xJWFhgQN6feHhCgCysyUFRAghhBBCCOE5r776Kj/4wQ+oqanBYDhbkH7zzTcTHBzMq6++6sXRCTE0kgQihA9xJIE4SE9rIYQQQgghhIDo6FDGjU0hLi5cCkBc7MorxpGUFEVLi5FHf/wKRmNPv19bXFLDmte3AjBjxmh3DVEIIYQQQgjhYTabja4uk1f+s9ls/RrjrbfeisVi4f3333c+dvr0aT788EO+/vWvu2vXCOERkgQihA9J/VIRiLSDEUIIIYQQQgjhTlqthief+BrffeB5Dh+u5Cc/W8Mfnrwbvf7Sl5za2rr46U/XYDL1kpeXw8prp3toxEIIIYQQQgh36+42s3DxY17Z9qcbHyMwUH/Z5QIDA7nzzjt56aWXuPXWWwFYs2YNKSkpzJ8/382jFMK9JAlECB8SFxfmvNCm12vPKwoRQgghhBBCCCFcbfToBJ76wz0EBurZu7eUxx7/N729losub7Vaefx//0NNbTNJiZH86he3olbLJSohhBBCCCGEZ913331s2LCBU6dOAfDSSy9x7733olKpvDwyIYZGkkCE8CFqtZqUlGhOnqwnMyNOYo6FEEIIIYQQQnjExIlpPPnE1/jhj15h8xdH+M53/0F6eiyhYYGEhQYSGxNGfHwE8fERbNhYwM6dRej1Wn7zm7sICwvy9vCFEEIIIYQQLhQQoOPTjY95bdv9NXXqVCZPnsyrr77K0qVLKSws5IMPPnDj6ITwDCkCEcLHpNqLQMaMSfT2UIQQQgghhBBC+JEZM8bwP49/lZ//4nWOHK3iyNGqSy7/4x/dSE52kodGJ4QQQgghhPAUlUrVr5Ysw8G3vvUtnn76aU6dOsWiRYtITU319pCEGDIpAhHCx8ybN44dO4u46qrx3h6KEEIIIYQQQgg/c/VV43nlpQc5fKSStrYuWluNtLUZaWxso66+mbq6Frq7zdx6Sx4rlk/z9nCFEEIIIYQQfu6uu+7i0Ucf5fnnn+fVV1/19nCEcAkpAhHCx6y8djrLlk6RVjBCCCGEEEIIIbxi1Kh4Ro2Kv+BzNpuN7m7zgCKahRBCCCGEEMJdwsLCuPnmm/noo4+48cYbvT0cIVxCikCE8EFSACKEEEIIIYQQYjgaSbHQQgghhBBCCP9QW1vLXXfdhcFg8PZQhHAJKQIRQgghhBBCCCGEEEIIIYQQQgjhV86cOcOGDRv47LPPeO6557w9HCFcRu3tAQghhBBCCCGEECPdU089xcyZMwkNDSUuLo4bb7yRoqKiPsvce++9qFSqPv/NmTOnzzI9PT08+OCDxMTEEBwczPXXX091dXWfZZqbm1m1ahXh4eGEh4ezatUqWlpa3P0WhRBCCCGEEEIInzJt2jS+/e1v8+STT5KTk+Pt4QjhMlIEIoQQQgghhBBCDNH27dv53ve+x65du9i4cSO9vb0sWbKEzs7OPsstW7aM2tpa53/r1q3r8/zDDz/M2rVreeONN9i2bRsdHR2sXLkSi8XiXObOO++koKCA9evXs379egoKCli1apVH3qcQQgghhBBCCOErysvLaW1t5dFHH/X2UIRwKWkHI4QQQgghhBBCDNE777xDWFiY898vvfQScXFx5Ofnc9VVVzkfNxgMJCQkXHAdra2tvPjii7z22mssWrQIgNWrV5OamsqmTZtYunQpx44dY/369ezatYvZs2cD8Pzzz5OXl0dRUZHMXBJCCCGEEEIIIYTwc1IEIoQQQgghhBBCuFhraysAUVFRfR7fvHkzcXFxREREcPXVV/Ob3/yGuLg4APLz8zGbzSxZssS5fFJSEhMnTmTHjh0sXbqUnTt3Eh4e7iwAAZgzZw7h4eHs2LHjgkUgPT099PT0OP/d1tYGgNlsxmw2u+5NC49z/Pzk5yj8jRz7wp/J8S/8mRz/wp956viX3y8hfIMUgQghhBBCCCGEEC5ks9l45JFHuOKKK5g4caLz8eXLl3PrrbeSnp5OWVkZv/jFL7jmmmvIz8/HYDBQV1eHXq8nMjKyz/ri4+Opq6sDoK6uzlk0cq64uDjnMl/2xBNP8Pjjj5/3+IYNGwgKChrKWxXDxMaNG709BCG8Qo594c/k+Bf+TI5/4c/cffwbjUa3rl8I4RlSBNJPNpsNODtjSoxMZrMZo9FIW1sbOp3O28MRwqPk+Bf+TI5/4a/k2Bf+zFPHv+Mc0XHOCPDAAw9w6NAhtm3b1mfZ22+/3fn/EydOZMaMGaSnp/PRRx9x0003XXQbNpsNlUrl/Pe5/3+xZc71k5/8hEceecT579bWVtLS0sjLyyM0NPQy71AMZ2azmc8//5wFCxbI57zwK3LsC38mx7/wZ3L8C3/mqeO/vb0d6HuOK4QYeaQIpJ8cH3qpqaleHokQQgghhBBCiOGmvb2d8PBwHnzwQd5//322bNlCSkrKJV+TmJhIeno6JSUlACQkJGAymWhubu6TBtLQ0MDcuXOdy9TX15+3rsbGRuLj4y+4HYPBgMFgcP7bUbiSmZk5sDcphBBCCCGEEMIvOM5xhRAjkxSB9FNSUhJVVVWEhoZedHaVGP7a2tpITU2lqqqKsLAwbw9HCI+S41/4Mzn+hb+SY1/4M08d/zabjfb2dhITE3nggQdYu3Ytmzdv7leBRVNTE1VVVSQmJgIwffp0dDodGzdu5LbbbgOgtraWw4cP8/vf/x6AvLw8Wltb2bNnD7NmzQJg9+7dtLa2OgtFLkfOb32HfM4LfyXHvvBncvwLfybHv/Bnnj7HTUpKcts2hBDuJ0Ug/aRWqy87i0uMHGFhYfIlUfgtOf6FP5PjX/grOfaFP/PE8R8eHs53v/tdXn/9dd577z1CQ0Opq6tzPhcYGEhHRwePPfYYN998M4mJiZSXl/PTn/6UmJgYvvKVrziX/eY3v8kPf/hDoqOjiYqK4tFHHyU3N5dFixYBMG7cOJYtW8Z9993H3//+dwDuv/9+Vq5cSU5OTr/GK+e3vkc+54W/kmNf+DM5/oU/k+Nf+DNPneOKgcnIyODhhx/m4Ycfdvm6VSoVa9eu5cYbb3T5uoXvUnt7AEIIIYQQQgghxEj3t7/9jdbWVubPn09iYqLzv3//+98AaDQaCgsLueGGG8jOzuaee+4hOzubnTt3Ehoa6lzP008/zY033shtt93GvHnzCAoK4oMPPkCj0TiXWbNmDbm5uSxZsoQlS5YwadIkXnvtNY+/ZyGEEEIIIYQQYiS79957L1hcsXnzZlQqFS0tLYNar0ql4t1333X++/jx46hUKnbv3t1nudmzZ2MwGDAajc7HTCYTQUFB/OMf/wCUhNDly5f3e9svv/wyERERgxq38B2SBCKEEEIIIYQQQgyRzWa75POBgYF88sknl11PQEAAzz77LM8+++xFl4mKimL16tUDHqMQQgghhBBCCCE8b+zYsSQmJvL5558ze/ZsADo6Ojhw4ADx8fHs2LHDmQC6e/duurq6WLBgAQAJCQleGbPFYkGlUqFWS6bESCQ/NeFXDAYDv/rVrzAYDN4eihAeJ8e/8Gdy/At/Jce+8Gdy/At/IMe58Fdy7At/Jse/8Gdy/At/Jse/d7399ttMmDABg8FARkYGTz311EWXzcjIAOArX/kKKpXK+e/58+ezefNm53Jbt24lOzub66+/vs/jmzdvJjk5maysLKBvqkh5eTkqlYp33nmHBQsWEBQUxOTJk9m5c6fztV//+tdpbW1FpVKhUql47LHHACVh5Mc//jHJyckEBwcze/bsPtt1JIh8+OGHjB8/HoPBQEVFBZs3b2bWrFkEBwcTERHBvHnzqKioGNL+FO6nsl1uupIQQgghhBBCCCGEEEIIIYQQQgjxJd3d3ZSVlZGZmUlAQACgpGWazN1eGY9eF4BKperXsvfeey8tLS19WreAUkyxYMECmpubOXHiBLNmzeKxxx7j9ttvZ8eOHXz3u9/lr3/9K/feey+gFH48/PDDPPzwwzQ2NhIXF8dLL73EsmXL0Gg0xMbG8vzzz/ODH/yAlpYWtFotP/7xjzEajVx11VU888wzbN++HYBrrrmG5ORkZ9tXlUrF2rVrufHGGykvLyczM5OxY8fyxz/+kaysLH72s5+xd+9eSktLsVqt/O1vf+OXv/wlRUVFAISEhBASEsJdd91FeXk5v/vd70hKSmLt2rX8/Oc/p7CwkKysLF5++WXuv/9+Zs6cyR/+8Aeio6NJSEggPT2d++67j//6r//CZDKxZ88eFixYQFpammt+YGLQLvS75yDtYIQQQgghhBBCCCGEEEIIIYQQQriEydzN9x5b6JVt/+WxTzHoA/u9/IcffkhISEifxywWi/P///SnP7Fw4UJ+8YtfAJCdnc3Ro0f5wx/+4CwCOVdsbCwAERERfVq5zJ8/n87OTvbu3UteXh6bN2/mRz/6EVdddRWrVq3CaDSi1WrZtWsXzz333CXH/Oijj3LttdcC8PjjjzNhwgRKS0sZO3Ys4eHhqFSqPts+ceIE//rXv6iuriYpKcm5jvXr1/PSSy/x29/+FgCz2cxf//pXJk+eDMCZM2dobW1l5cqVjB49GoBx48ZdfqcKr5N2MEIIIYQQQgghhBBCCCGEEEIIIfzOggULKCgo6PPfCy+84Hz+2LFjzJs3r89r5s2bR0lJSZ9ikcvJysoiJSWFzZs309bWxoEDB7j66quJj48nMzOT7du3s2vXLrq6urjmmmsuua5JkyY5/z8xMRGAhoaGiy6/f/9+bDYb2dnZzmSQkJAQvvjiC06cOOFcTq/X91l3VFQU9957L0uXLuW6667jmWeeoba2tt/vWXiPJIEIIYQQQgghhBBCCCGEEEIIIYRwCb0ugL889qnXtj0QwcHBjBkzps9j1dXVzv+32WzntZex2WyDGtv8+fP5/PPPmTRpEllZWcTFxQH8/+zdd3gU1dfA8e/upvfeIA1IQgmELk16EaSroCLCi2BFRBFQUaTZ+AkoKqCIgIAiKiAg0gm9hg4htISakBAI6WV35/1jycqaDgmB5HyeJw/JzJ1772wmy97dM+fQpk0btm7diqWlJf7+/gQEBBTaj7m5ufH73Lnp9foC2+v1ejQaDREREWg0GpN9d2dBsba2znOu8+fPZ8SIEaxbt47ffvuNDz/8kI0bN9KsWbNinbMoHxIEIoQQQgghhBBCCCGEEEIIIYQQolSoVKoSlWR5mNWuXZudO3eabNu9ezfBwcF5AipymZub55slpF27dowYMYLatWvTtm1b4/Y2bdrw7bffYmlpWWQWkKJYWFjkGbtBgwbodDri4+N5/PHHS9xngwYNaNCgAe+//z7Nmzfnl19+kSCQh5yUgxFCCCGEEEIIIYQQQgghhBBCCCH+Y9SoUWzevJnJkydz5swZFi5cyLfffsu7775b4DEBAQFs3ryZuLg4bt26Zdzerl070tLS+Omnn2jTpo1xe5s2bTh48CB79+6lXbt29zXfgIAAUlNT2bx5Mzdu3CA9PZ3g4GAGDBjAiy++yPLly4mOjubAgQN88cUXrF27tsC+oqOjef/999mzZw8XL15kw4YNnDlzhlq1at3XHEXZkyAQUSFcvXqVF154AVdXV2xsbKhfvz4RERHG/YqiMGHCBHx8fLC2tqZt27acPHnSpI+srCzefPNN3NzcsLW1pWfPnibpnoR4GBV17Q8ePBiVSmXy9d/oTLn2xaMoICAgz7WtUql44403AHneFxVbUde/PPeLikyr1fLhhx8SGBiItbU11apVY9KkSSYpT+X/APGok/WtqMxkjSsqK1njispM1riiMpM17qOhYcOGLFu2jKVLlxIaGsr48eOZNGkSgwcPLvCYadOmsXHjRnx9fWnQoIFxe2BgIP7+/qSkpJgEgVSpUgU/Pz8yMzPvOwikRYsWvPrqq/Tv3x93d3emTp0KGMq6vPjii4waNYqQkBB69uzJvn378PX1LbAvGxsbTp8+zVNPPUVwcDAvv/wyw4cP55VXXrmvOYoHQBHiEXfz5k3F399fGTx4sLJv3z4lOjpa2bRpk3Lu3Dljm88//1yxt7dX/vzzT+X48eNK//79FW9vbyU5OdnY5tVXX1WqVKmibNy4UTl06JDSrl07JSwsTNFqteVxWkIUqTjX/qBBg5QnnnhCiY2NNX4lJiaa9CPXvngUxcfHm1zXGzduVABl69atiqLI876o2Iq6/uW5X1RkU6ZMUVxdXZU1a9Yo0dHRyu+//67Y2dkpX331lbGN/B8gHmWyvhWVmaxxRWUma1xRmckaV1RmFWWNm5GRoZw6dUrJyMh4IOMJIQwK+9uTIBDxyBs7dqzSqlWrAvfr9XrFy8tL+fzzz43bMjMzFUdHR2XOnDmKoihKUlKSYm5urixdutTY5urVq4parVbWrVtXdpMX4j4Ude0rimGR1KtXrwL3y7UvKoq33npLqV69uqLX6+V5X1Q6d1//iiLP/aJie/LJJ5UhQ4aYbOvbt6/ywgsvKIoir/3Fo0/Wt6IykzWuEP+SNa6ozGSNKyqTirLGlSAQIcpHYX97Ug5GPPJWrVpF48aNeeaZZ/Dw8KBBgwbMnTvXuD86Opq4uDg6d+5s3GZpaUmbNm3YvXs3ABEREeTk5Ji08fHxITQ01NhGiIdNUdd+rvDwcDw8PAgODmbYsGHEx8cb98m1LyqC7OxsFi9ezJAhQ1CpVPK8LyqV/17/ueS5X1RUrVq1YvPmzZw5cwaAo0ePsnPnTrp16wbIa3/x6JP1rajMZI0rhIGscUVlJmtcUdnIGlcIUVYkCEQ88i5cuMDs2bMJCgpi/fr1vPrqq4wYMYKff/4ZgLi4OAA8PT1NjvP09DTui4uLw8LCAmdn5wLbCPGwKeraB+jatStLlixhy5YtTJs2jQMHDtC+fXuysrIAufZFxbBy5UqSkpKMNRjleV9UJv+9/kGe+0XFNnbsWJ577jlq1qyJubk5DRo0YOTIkTz33HOA/B8gHn2yvhWVmaxxhTCQNa6ozGSNKyobWeMKIcqKWXlPQIj7pdfrady4MZ9++ikADRo04OTJk8yePZsXX3zR2O7uyGEARVHybPuv4rQRorwU59rv37+/sX1oaCiNGzfG39+fv//+m759+xbYt1z74lEyb948unbtio+Pj8l2ed4XlUF+178894uK7LfffmPx4sX88ssv1KlThyNHjjBy5Eh8fHwYNGiQsZ38HyAeVbK+FZWZrHGFMJA1rqjMZI0rKhtZ4wohyopkAhGPPG9vb2rXrm2yrVatWly6dAkALy8vgDwRj/Hx8cboSS8vL7Kzs7l161aBbYR42BR17Rd0jL+/P2fPngXk2hePvosXL7Jp0yaGDh1q3CbP+6KyyO/6z48894uKZPTo0bz33ns8++yz1K1bl4EDB/L222/z2WefAfJ/gHj0yfpWVGayxhVC1riicpM1rqiMZI0rhCgrEgQiHnktW7YkKirKZNuZM2fw9/cHIDAwEC8vLzZu3Gjcn52dzbZt22jRogUAjRo1wtzc3KRNbGwsJ06cMLYR4mFT1LWfn8TERC5fvoy3tzcg17549M2fPx8PDw+efPJJ4zZ53heVRX7Xf37kuV9UJOnp6ajVpstYjUaDXq8H5P8A8eiT9a2ozGSNK4SscUXlJmtcURnJGlcIUWYUIR5x+/fvV8zMzJRPPvlEOXv2rLJkyRLFxsZGWbx4sbHN559/rjg6OirLly9Xjh8/rjz33HOKt7e3kpycbGzz6quvKlWrVlU2bdqkHDp0SGnfvr0SFhamaLXa8jgtIYpU1LWfkpKijBo1Stm9e7cSHR2tbN26VWnevLlSpUoVufZFhaDT6RQ/Pz9l7NixefbJ876o6Aq6/uW5X1R0gwYNUqpUqaKsWbNGiY6OVpYvX664ubkpY8aMMbaR/wPEo0zWt6IykzWuqOxkjSsqM1njisqqoqxxMzIylFOnTikZGRkPZDwhhEFhf3sSBCIqhNWrVyuhoaGKpaWlUrNmTeWHH34w2a/X65WPP/5Y8fLyUiwtLZXWrVsrx48fN2mTkZGhDB8+XHFxcVGsra2V7t27K5cuXXqQpyFEiRV27aenpyudO3dW3N3dFXNzc8XPz08ZNGhQnutarn3xqFq/fr0CKFFRUXn2yfO+qOgKuv7luV9UdMnJycpbb72l+Pn5KVZWVkq1atWUcePGKVlZWcY28n+AeNTJ+lZUZrLGFZWZrHFFZSZrXFFZVZQ1rgSBCFE+CvvbUymKopRvLhIhhBBCCCGEEEIIIYQQQgghhBCPmszMTKKjowkMDMTKyqq8pyNEpVHY3566gGOEEEIIIYQQQgghhBBCCCGEEEIIUYEsWLAAJyenBzLW4MGD6d279wMZS/xLgkCEEEIIIYQQQgghhBBCCCGEEEJUOnFxcbz55ptUq1YNS0tLfH196dGjB5s3by6zMQMCAvjqq6/KrP+tW7fSrVs3XF1dsbGxoXbt2owaNYqrV6+W2ZgF+frrr1mwYMEDH7eykyAQIYQQQgghhBBCCCGEEEIIIYQQlUpMTAyNGjViy5YtTJ06lePHj7Nu3TratWvHG2+8ke8xOTk5D3iWJfP999/TsWNHvLy8+PPPPzl16hRz5szh9u3bTJs27YHPx9HR8YFlHRH/kiAQIYQQQgghhBBCCCGEEEIIIYQQlcrrr7+OSqVi//79PP300wQHB1OnTh3eeecd9u7dC4BKpWLOnDn06tULW1tbpkyZAsDs2bOpXr06FhYWhISEsGjRIpO+J0yYgJ+fH5aWlvj4+DBixAgA2rZty8WLF3n77bdRqVSoVCrjMX/++Sd16tTB0tKSgICAPEEbAQEBfPrppwwZMgR7e3v8/Pz44YcfjPuvXLnCiBEjGDFiBD/99BNt27YlICCA1q1b8+OPPzJ+/Ph8H4fz58/Tq1cvPD09sbOzo0mTJmzatMmkzaxZswgKCsLKygpPT0+efvpp474//viDunXrYm1tjaurKx07diQtLQ3IWw5Gr9fzxRdfUKNGDSwtLfHz8+OTTz4p1u9LFJ9ZeU9ACCGEEEIIIYQQQgghhBBCCCFExaAoCtrszHIZ28zCyiSwoiA3b95k3bp1fPLJJ9ja2ubZf3f2io8//pjPPvuMGTNmoNFoWLFiBW+99RZfffUVHTt2ZM2aNfzf//0fVatWpV27dvzxxx/MmDGDpUuXUqdOHeLi4jh69CgAy5cvJywsjJdffplhw4YZx4iIiKBfv35MmDCB/v37s3v3bl5//XVcXV0ZPHiwsd20adOYPHkyH3zwAX/88QevvfYarVu3pmbNmvz+++9kZ2czZsyYfM+5oIwcqampdOvWjSlTpmBlZcXChQvp0aMHUVFR+Pn5cfDgQUaMGMGiRYto0aIFN2/eZMeOHQDExsby3HPPMXXqVPr06UNKSgo7duxAUZR8x3r//feZO3cuM2bMoFWrVsTGxnL69OnCflXiHkgQiBBCCCGEEEIIIYQQQgghhBBCiFKhzc5k5uiW5TL2iP/twtzSush2586dQ1EUatasWWTb559/niFDhpj8PHjwYF5//XUAY+aQL7/8knbt2nHp0iW8vLzo2LEj5ubm+Pn50bRpUwBcXFzQaDTY29vj5eVl7HP69Ol06NCBjz76CIDg4GBOnTrF//73P5MgkG7duhnHHTt2LDNmzCA8PJyaNWty9uxZHBwc8Pb2LvqBuktYWBhhYWHGn6dMmcKKFStYtWoVw4cP59KlS9ja2tK9e3fs7e3x9/enQYMGgCEIRKvV0rdvX/z9/QGoW7duvuOkpKTw9ddf8+233zJo0CAAqlevTqtWrUo0X1E0KQcjhBBCCCGEEEIIIYQQQgghhBCi0sjNVFGcrCGNGzc2+TkyMpKWLU2DXFq2bElkZCQAzzzzDBkZGVSrVo1hw4axYsUKtFptoWMU1OfZs2fR6XTGbfXq1TN+r1Kp8PLyIj4+3nhOxTmf/0pLS2PMmDHUrl0bJycn7OzsOH36NJcuXQKgU6dO+Pv7U61aNQYOHMiSJUtIT08HDAEkHTp0oG7dujzzzDPMnTuXW7duFXiOWVlZdOjQocRzFCUjmUCEEEIIIYQQQgghhBBCCCGEEEKUCjMLK0b8b1e5jV0cQUFBqFQqIiMj6d27d6Ft8ysX899gi7sDMHx9fYmKimLjxo1s2rSJ119/nf/9739s27YNc3PzfMfIL4Ajv5Iq/z1epVKh1+sBQ/aQ27dvExsbW6JsIKNHj2b9+vV8+eWX1KhRA2tra55++mmys7MBsLe359ChQ4SHh7NhwwbGjx/PhAkTOHDgAE5OTmzcuJHdu3ezYcMGvvnmG8aNG8e+ffsIDAw0GcfauugMLaJ0SCYQIYQQQgghhBBCCCGEEEIIIYQQpUKlUmFuaV0uX8XNhOHi4kKXLl347rvvSEtLy7M/KSmpwGNr1arFzp07Tbbt3r2bWrVqGX+2tramZ8+ezJw5k/DwcPbs2cPx48cBsLCwMMnuAVC7du18+wwODkaj0RTrnJ5++mksLCyYOnVqvvsLOqcdO3YwePBg+vTpQ926dfHy8iImJsakjZmZGR07dmTq1KkcO3aMmJgYtmzZAhh+3y1btmTixIkcPnwYCwsLVqxYkWecoKAgrK2t2bx5c7HOR9w7yQQihBBCCCGEEEIIIYQQQgghhBCiUpk1axYtWrSgadOmTJo0iXr16qHVatm4cSOzZ882lnf5r9GjR9OvXz8aNmxIhw4dWL16NcuXL2fTpk0ALFiwAJ1Ox2OPPYaNjQ2LFi3C2toaf39/AAICAti+fTvPPvsslpaWuLm5MWrUKJo0acLkyZPp378/e/bs4dtvv2XWrFnFPh9fX19mzJjB8OHDSU5O5sUXXyQgIIArV67w888/Y2dnx7Rp0/IcV6NGDZYvX06PHj1QqVR89NFHxuwiAGvWrOHChQu0bt0aZ2dn1q5di16vJyQkhH379rF582Y6d+6Mh4cH+/btIyEhwSQgJpeVlRVjx45lzJgxWFhY0LJlSxISEjh58iQvvfRSsc9TFE2CQIQQQgghhBBCCCGEEEIIIYQQQlQqgYGBHDp0iE8++YRRo0YRGxuLu7s7jRo1Yvbs2QUe17t3b77++mv+97//MWLECAIDA5k/fz5t27YFwMnJic8//5x33nkHnU5H3bp1Wb16Na6urgBMmjSJV155herVq5OVlYWiKDRs2JBly5Yxfvx4Jk+ejLe3N5MmTWLw4MElOqfXX3+d4OBgvvzyS/r06UNGRgYBAQF0796dd955J99jZsyYwZAhQ2jRogVubm6MHTuW5ORk434nJyeWL1/OhAkTyMzMJCgoiF9//ZU6deoQGRnJ9u3b+eqrr0hOTsbf359p06bRtWvXfMf66KOPMDMzY/z48Vy7dg1vb29effXVEp2jKJpKya+YkBBCCCGEEEIIIYQQQgghhBBCCFGIzMxMoqOjCQwMxMrKqrynI0SlUdjfnrqc5iSEEEIIIYQQQgghhBBCCCGEEEIIIUqRBIEIIYQQQgghhBBCCCGEEEIIIYQQQlQAEgQihBBCCCGEEEIIIYQQQgghhBBCCFEBSBCIEEII8RBZsGABKpWKmJiY8p5KsalUKiZMmFBku9I8t4CAALp3757vvoMHD6JSqViwYIFxW0pKCmPGjKFz5864u7sXOedDhw7RsWNH7OzscHJyom/fvly4cOG+5y2EEEIIIYQQFZGsZYvnYVzLnjp1CktLS1QqFQcPHryX0xJCCCGEEA8ZCQIRQgghHiJPPvkke/bswdvbu7ynUmx79uxh6NCh5T2NQiUmJvLDDz+QlZVF7969C217+vRp2rZtS3Z2NsuWLeOnn37izJkzPP744yQkJDyYCQshhBBCCCHEI0TWsmWjrNeyOp2OIUOG4ObmVgazF0IIIYQQ5cWsvCcghBBCiH+5u7vj7u5e3tMokWbNmpX3FIrk7+/PrVu3UKlU3Lhxgx9//LHAtuPHj8fS0pI1a9bg4OAAQKNGjQgKCuLLL7/kiy++eFDTFkIIIYQQQohHgqxly0ZZr2VnzJjBlStXGDt2LG+99VaZnYcQQgghhHiwJBOIEEIIcR8GDx5MQEBAnu0TJkxApVIZf1apVAwfPpxFixZRq1YtbGxsCAsLY82aNSbH5ZdmVlEUpk6dir+/P1ZWVjRs2JB//vmHtm3b0rZt20KPBQgPD0elUhEeHm6yfdOmTXTo0AEHBwdsbGxo2bIlmzdvLvFjkF862r1799KyZUusrKzw8fHh/fffJycnp8R9lxaVSmXy+yiIVqtlzZo1PPXUU8Y3zcDwxlu7du1YsWJFWU5TCCGEEEIIIR4IWcvKWvbs2bOMHz+eWbNmmRwjhBBCCCEefRIEIoQQQjwgf//9N99++y2TJk3izz//xMXFhT59+hRZn3fixImMHTuWTp06sXLlSl577TWGDRtGVFTUPc9l8eLFdO7cGQcHBxYuXMiyZctwcXGhS5cu9/Tm2d1OnTpFhw4dSEpKYsGCBcyZM4fDhw8zZcqUPG31ej1arbbIL51Ol+dYRVGK3ba4zp8/T0ZGBvXq1cuzr169epw7d47MzMx77l8IIYQQQgghHjWylq14a1lFURg6dCjdu3enZ8+e9zyuEEIIIYR4OEk5GCGEEOIBycjIYNOmTdjb2wPQsGFDfHx8WLZsGe+9916+xyQlJfHFF1/Qp08fk7SvderUoWXLloSEhJR4Hunp6bz11lt0797d5G6gbt260bBhQz744AP27dtX4n5zTZo0CUVR2LJlC56enoChPnRoaGietkOGDGHhwoVF9tmmTZs8d3+tXbsWc3Pze55nfhITEwFwcXHJs8/FxQVFUbh169YjVedaCCGEEEIIIe6HrGUr3lr2u+++4/jx4yxbtqxU5yGEEEIIIR4OEgQihBBCPCDt2rUzvmkG4OnpiYeHBxcvXizwmD179pCZmcmAAQNMtrdo0QJ/f/97msfu3bu5efMmgwYNQqvVmux74oknmDp1Kmlpadja2t5T/1u3bqVDhw7GN80ANBoN/fv3Z+LEiSZtJ0yYwPDhw4vs8+7HLVerVq2YMWNGnu2RkZG8+OKL9zDzfxWWbrc4qXiFEEIIIYQQoqKQtWzFWstevHiR999/n6+++srkXIUQQghRsQUEBDBy5EhGjhxZ6n2rVCpWrFhB7969S71vcW8kCEQIIYR4QFxdXfNss7S0JCMjo8Bjcu/m8fLyyrMvv23Fcf36dQCefvrpAtvcvHnznt84S0xMLPZ8/fz8qFq1apF95vdGlqOjI40bN76nORYk93eU+7jf7ebNm6hUKpycnEp1TCGEEEIIIYR4mMlatmKtZd944w1CQ0N56qmnSEpKAgxZVgBSU1O5ffs2jo6OpTo/IYQQ4mEWHx/PRx99xD///MP169dxdnYmLCyMCRMm0Lx58/KeXpkJCAjg4sWL7Nmzh2bNmhm3jxw5kiNHjuTJZlaY2NhYnJ2dy2CW4l5JEIgQQghxH6ysrMjKysqz/caNG6XSf+4bOXFxcXn2xcXFERAQYDIXIM98/jsXNzc3AL755huTF3d3u5+7gVxdXQuc73/dTwrdslC9enWsra05fvx4nn3Hjx+nRo0axsdZCCGEEEIIIR5VspbNf86VYS174sQJLl68mO8HNe3atcPR0dEYHCKEEEJUBk899RQ5OTksXLiQatWqcf36dTZv3szNmzfLe2plzsrKirFjx7Jt27b76udeg3xF2VGX9wSEEEKIR1lAQADx8fHGO5IAsrOzWb9+fan036xZM6ysrFiyZInJ9t27d+dJvZv7JtqxY8dMtq9atcrk55YtW+Lk5MSpU6do3Lhxvl8WFhb3POd27dqxefNmk8dEp9Px22+/5Wk7YcIEDhw4UOTX999/f8/zKQkzMzN69OjB8uXLSUlJMW6/dOkSW7dupW/fvg9kHkIIIYQQQghRlmQtm1dlWcsuXbqUrVu3mnyNHTsWgDlz5rBmzZoHMmchhBDiYZCUlMTOnTv54osvaNeuHf7+/jRt2pT333+fJ598EoDbt2/z8ssv4+HhgYODA+3bt+fo0aPGPs6fP0+vXr3w9PTEzs6OJk2asGnTJpNxZs2aRVBQEFZWVnh6eppkNsvKymLEiBF4eHhgZWVFq1atOHDggHF/eHg4KpWKzZs307hxY2xsbGjRogVRUVElmkN+XnnlFfbu3cvatWsLbHPgwAE6deqEm5sbjo6OtGnThkOHDpm0UalUrFy5EoDmzZvz3nvvmexPSEjA3NycrVu3AobXnWPGjKFKlSrY2try2GOPPZDA2cpEMoEIIYQQ96F///6MHz+eZ599ltGjR5OZmcnMmTPR6XSl0r+zszPvvvsuU6ZMYejQoTzzzDNcvnyZCRMm5ImubdKkCSEhIbz77rtotVqcnZ1ZsWIFO3fuNGlnZ2fHN998w6BBg7h58yZPP/00Hh4eJCQkcPToURISEpg9e/Y9z/nDDz9k1apVtG/fnvHjx2NjY8N3331HWlpanrYBAQEmd4CVpX/++Ye0tDTjG2KnTp3ijz/+AKBbt27Y2NgAMHHiRJo0aUL37t157733yMzMZPz48bi5uTFq1KgHMlchhBBCCCGEKEuyls2rsqxl88uiEhMTA0CjRo1KvVSNEEKIyklRFHIyM8tlbHMrq3xLsuXHzs4OOzs7Vq5cSbNmzbC0tDTZrygKTz75JC4uLqxduxZHR0e+//57OnTowJkzZ3BxcSE1NZVu3boxZcoUrKysWLhwIT169CAqKgo/Pz8OHjzIiBEjWLRoES1atODmzZvs2LHDOMaYMWP4888/WbhwIf7+/kydOpUuXbpw7tw5XFxcjO3GjRvHtGnTcHd359VXX2XIkCHs2rULoMg5FCQgIIBXX32V999/nyeeeAK1Om/+iJSUFAYNGsTMmTMBmDZtGt26dePs2bPY29vnaT9gwAD+97//8dlnnxl/D7/99huenp60adMGgP/7v/8jJiaGpUuX4uPjw4oVK3jiiSc4fvw4QUFBxfrdicJJEIgQQghxHwIDA/nrr7/44IMPePrpp/H29uadd94hISGBiRMnlsoYkyZNwtbWllmzZrFo0SJq1qzJnDlz+PLLL03aaTQaVq9ezfDhw3n11VextLTk2Wef5dtvvzVGLed64YUX8PPzY+rUqbzyyiukpKTg4eFB/fr1GTx48H3NNzQ0lE2bNjFq1CgGDRqEs7MzAwcO5KmnnuLll1++r77vx2uvvWZyx9nvv//O77//DkB0dLTxDbyaNWsSHh7O2LFjefrppzEzM6N9+/Z8+eWXuLu7l8fUhRBCCCGEEKJUyVo2L1nLCiGEEKUnJzOT/3XuUC5jj96wGQtr62K1NTMzY8GCBQwbNow5c+bQsGFD2rRpw7PPPku9evXYunUrx48fJz4+3hgg8uWXX7Jy5Ur++OMPXn75ZcLCwggLCzP2OWXKFFasWMGqVasYPnw4ly5dwtbWlu7du2Nvb4+/vz8NGjQAIC0tjdmzZ7NgwQK6du0KwNy5c9m4cSPz5s1j9OjRxn4/+eQTYxDFe++9x5NPPklmZiZWVlZFzqEwH374IfPnz2fJkiUMHDgwz/727dub/Pz999/j7OzMtm3b6N69e572/fv35+2332bnzp08/vjjAPzyyy88//zzqNVqzp8/z6+//sqVK1fw8fEB4N1332XdunXMnz+fTz/9tND5iuJRKYqilPckhBBCCFFybdu2BZA0aUIIIYQQQgghHhmylhVCCCEqlszMTKKjowkMDMTKygqA7IyMRyIIJFdmZiY7duxgz549rFu3jv379/Pjjz+SkJDAe++9h/V/+svIyODdd9/liy++IC0tjYkTJ7JmzRquXbuGVqslIyODUaNGMXXqVFJSUmjZsiWxsbE88cQTPPHEE/Tp0wcbGxuOHTtGWFgYMTEx+Pv7G/vv06cPzs7O/PTTT4SHh9OuXTvi4+ONgZ2HDx+mYcOGXLx4ET8/vyLnAIasHyNHjmTkyJF5fp40aRLz588nKiqKMWPGcOTIEeNrtfj4eMaPH8+WLVu4fv06Op2O9PR0vv32W15//XXAUA5mxYoV9O7dGzBkK/Pz82POnDlER0dTrVo1jhw5QlhYGL///jv9+vXD1tbW5DHNysqib9+++ZbiE/nL728vl2QCEUIIIYQQQgghhBBCCCGEEEIIUSrMrawYvWFzuY1dUlZWVnTq1IlOnToxfvx4hg4dyscff8zrr7+Ot7d3vsGrTk5OAIwePZr169fz5ZdfUqNGDaytrXn66afJzs4GwN7enkOHDhEeHs6GDRsYP348EyZM4MCBA+Tmavhv+RpFUfJsMzc3N36fu0+v1xdrDkV55513mDVrFrNmzcqzb/DgwSQkJPDVV1/h7++PpaUlzZs3L7TvAQMG8NZbb/HNN9/wyy+/UKdOHWOmEr1ej0ajISIiAo1GY3KcnZ1dseYriiZBIEIIIYTIl1arLXS/Wq3Ot0agEEIIIYQQQghRXmQtK4QQQpQ/lUpV4mwcD5PatWuzcuVKGjZsSFxcHGZmZsYSbP+1Y8cOBg8eTJ8+fQBITU0lJibGpI2ZmRkdO3akY8eOfPzxxzg5ObFlyxa6dOmChYUFO3fu5PnnnwcgJyeHgwcPGjN2FEdx5lAYOzs7PvroIyZMmECPHj3y9D1r1iy6desGwOXLl7lx40ah/fXu3ZtXXnmFdevW8csvv5iUmWnQoAE6nY74+HhjuRhR+uTVrhBCCPGICg8PL7P0uTExMZibmxf6NWnSpDIZWwghhBBCCCFExSVrWSGEEEI8LBITE2nfvj2LFy/m2LFjREdH8/vvvzN16lR69epFx44dad68Ob1792b9+vXExMSwe/duPvzwQw4ePAhAjRo1WL58OUeOHOHo0aM8//zzxgwdAGvWrGHmzJkcOXKEixcv8vPPP6PX6wkJCcHW1pbXXnuN0aNHs27dOk6dOsWwYcNIT0/npZdeKvZ5FDWH4nj55ZdxdHTk119/zdP3okWLiIyMZN++fQwYMCBPeZz/srW1pVevXnz00UdERkYaA1wAgoODGTBgAC+++CLLly8nOjqaAwcO8MUXX7B27doSzVkUTDKBCCGEECIPHx8fDhw4UGQbIYQQQgghhBDiYSFrWSGEEEKUhJ2dHY899hgzZszg/Pnz5OTk4Ovry7Bhw/jggw9QqVSsXbuWcePGMWTIEBISEvDy8qJ169Z4enoCMGPGDIYMGUKLFi1wc3Nj7NixJCcnG8dwcnJi+fLlTJgwgczMTIKCgvj111+pU6cOAJ9//jl6vZ6BAweSkpJC48aNWb9+Pc7OzsU+j6LmUBzm5uZMnjzZJGAD4KeffuLll1+mQYMG+Pn58emnn/Luu+8W2d+AAQN48sknad26NX5+fib75s+fz5QpUxg1ahRXr17F1dWV5s2bG7ONiPunUnKLDQkhhBBCCCGEEEIIIYQQQgghhBDFlJmZSXR0NIGBgVhZWZX3dISoNAr725NMIMWk1+u5du0a9vb2qFSq8p6OEEIIIYQQQoiHgKIopKSk4OPjg1r9aFRclfWtEEIIIYQQQoj8PIprXCFEXhIEUkzXrl3D19e3vKchhBBCCCGEEOIhdPnyZapWrVre0ygWWd8KIYQQQgghhCjMo7TGFULkJUEgxWRvbw8YnvQcHBzKeTbiXuXk5LBhwwY6d+6Mubl5eU9HiAdKrn9Rmcn1LyorufZFZfagrv/k5GR8fX2Na8ZHgaxvKw55nheVlVz7ojKT619UZnL9i8pM1rhCiJKQIJBiyk2R6+DgIG+SPcJycnKwsbHBwcFBXiSKSkeuf1GZyfUvKiu59kVl9qCv/0eprIqsbysOeZ4XlZVc+6Iyk+tfVGZy/YvKTNa4QoiSkGJOQgghhBBCCCGEEEIIIYQQQgghhBAVgASBCCGEEEIIIYQQQgghhBBCCCGEEEJUABIEIoQQQgghhBBCCCGEEEIIIYQQQghRAUgQiBBCCCGEEEIIIYQQQgghhBBCCCFEBSBBIEIIIYQQQgghxH2aNm0aTZo0wd7eHg8PD3r37k1UVFSedpGRkfTs2RNHR0fs7e1p1qwZly5dMu7PysrizTffxM3NDVtbW3r27MmVK1dM+rh16xYDBw7E0dERR0dHBg4cSFJSUlmfohBCCCGEEEIIIYR4BEgQiBBCCCGEEEIIcZ927drFG2+8wd69e9m4cSNarZbOnTuTlpZmbHP+/HlatWpFzZo1CQ8P5+jRo3z00UdYWVkZ24wcOZIVK1awdOlSdu7cSWpqKt27d0en0xnbPP/88xw5coR169axbt06jhw5wsCBAx/o+QohhBBCCCGEEJXBggULcHJyKpexBw8eTO/evctlbPFoMyvvCQghhBBCCCFEeVP0ClkJGWRcM3xg71jXFbWZxMyXFUVRyE7MJP1KGopOj1M9N9Tmj/bjvXz5chwcHIw/z58/Hw8PDyIiImjdujUA48aNo1u3bkydOtXYrlq1asbvb9++zbx581i0aBEdO3YEYPHixfj6+rJp0ya6dOlCZGQk69atY+/evTz22GMAzJ07l+bNmxMVFUVISMiDOF0hhBAViF6v59elOwkJ9qFx4xrlPR0hhBBCiAdm8ODBJCUlsXLlSpPt4eHhtGvXjlu3btG/f3+6detWrP4WLFjAyJEjSy1b59dff42iKCU+7uWXX2bevHksWbKEZ599tlTmIh4tEgQihBBCCCHEQ+jatZuEbzvJjp2R6PV6WraoRds2dfDzcyvVcfR6PadOhHNgx2/cuHgSlZk5viGP0bL9IKr61irVsXRaLYcOrubwnhUkXTuHmZUdgaGP83j7Qbi5+5XqWFnZmezbuYwTB9aQmnAZSwc3gsPa07LdQBwc/n0Ms25mcvtYIulXUlBy/l1Uxx+JxrGZC541q6NSqQodKzU1id3bFnP60AYykxKwcfOhTuNutHj8OSytbEr1vG7dvMaOLQs5f3wbOWnJOHgHUr9Zbxo/1gszM4tSHSv22ll2bl7IpdN70GVn4uZXi8at+hEa1hG1+t4CNnJuZ3PraALpl1NQsv99vOMOnefI7eVcTdgHgFf1+jRrM4CgkMdK5VzKw+3btwFwcXEBDH9rf//9N2PGjKFLly4cPnyYwMBA3n//feNdPREREeTk5NC5c2djPz4+PoSGhrJ79266dOnCnj17cHR0NAaAADRr1gxHR0d2796dbxBIVlYWWVlZxp+Tk5MByMnJIScnp9TPXTw4ub8/+T2Kykau/dK1Nfwk381ah6urPX/+PqrI1z6ifMn1Lyozuf5FZfagrn/5+8rL2toaa2vrBzqmTqdDpVLh6OhY4mPT09P57bffGD16NPPmzSvzIJDs7GwsLEr3PSlx/x7qIJAJEyYwceJEk22enp7ExcUBhrvHJk6cyA8//MCtW7d47LHH+O6776hTp46xfVZWFu+++y6//vorGRkZdOjQgVmzZlG1atUHei5CCCGEEEIUx779Z5k9Zz1nzlwz2X78+CXmfL+eatU8eeXlzjze6v4DNP5a9ilRe/9CozUs8HM/1r8SsYHfIjagt7al3VNjaNy0x32No9frWTx3BHGRe9Ho9QBoACUrkwu7VnB+1wpU9k70GfIl1ao3vK+xsrIzmT/zJZIvn0Zz504JDaC9cZVTmxdxYvMizF28ePHNuTjaeXHt7wugNXzQkZWVxvVrkXj61MLS0p6bW26wdeb31O3TkdDOXfKMdetWHD9/M4zsG1eNj50GyIqN5tDq7zi4Zha2PtX5v7d+wtrK7r7O69LFE/w+dyRK8k1yP5bRAGkXI9l1MZLtv3+Be1AjBr02+54DNHIdPbSOjcs+g/QUk7FunT3ExrOHWKcxo3qTJ3jq+Ukl6lev1XN17XmUTMPPOdkZxMVG4uZeDWsbJxrZ9SfzyC0S9EeJz9jJqhM70VlY4hZQl36Dp2Jn53Rf5/UgKYrCO++8Q6tWrQgNDQUgPj6e1NRUPv/8c6ZMmcIXX3zBunXr6Nu3L1u3bqVNmzbExcVhYWGBs7OzSX93r4Pj4uLw8PDIM6aHh4exzX999tlnedbWABs2bMDGpnQDlUT52LhxY3lPQYhyIdd+6fj9j9MAJCam8OuvK3BysiriCPEwkOtfVGZy/YvKrKyv//T09DLt/1H03+weR48eZeTIkRw8eBCVSkVQUBDff/89qamp/N///R+AMaj2448/ZsKECdy6dYu33nqL1atXk5WVRZs2bZg5cyZBQUEmYyxevJgxY8Zw5swZzp49y8SJE00ylej1ev73v/8xd+5cLl++jKenJ6+88grjxo0zzvf333+ndu3avP/++3h7exMTE0NAQABRUVHUrFmTyMhIatasaWw/ffp0Zs6cSXR0NCqVilOnTvHuu++yfft2bG1t6dy5MzNmzMDNzXBTVdu2bQkNDcXCwoKff/6ZOnXqsG3bNqZPn878+fO5cOECLi4u9OjRg6lTp2Jn9+97YnPnzmXSpEkkJibSpUsXHn/8cSZNmmSSOWX16tVMmDCBkydP4uPjw6BBgxg3bhxmZg91WMND56F/tOrUqcOmTZuMP2s0GuP3U6dOZfr06SxYsIDg4GCmTJlCp06diIqKwt7eHjDUU169ejVLly7F1dWVUaNG0b17dyIiIkz6EkIIIYQQorxlZeXw0fhfSU3NRK1WUb9+IO3a1EGjURO+/RQREee5cOE64z9eyprVH2BrY3nPY8VcOMLZnX+gAfSAxtGNwDqtSE9L4tqZg6gzUlFnpLFl6WQaNn7yvgILdm3/hYSTuw1jqcDCtQrV6jxO4vULxF84hiY7E1KSWPHTaEZ9svmexwFYvewT0i5FogF0KjW2XgEE1mrBleijJF2ORKPVorsZx2/z3uWpZl+CVsXtW9fYt2sBVp521GzdmmzrG+iuZWFj40KTRi9y4LdFBDRqjJ2rq8lYv88fjfZOAIhOo8Gxagh+NRoRfXoPqbEX0Oj1ZFw9x8qlk3hu8NR851tcf857B+4EgOjMLXALqItHlWAunNpJVsIVNHo9N6MOEL7pJ9p3HnrP4+j1etYvmYAmJ9vws5UNXkGNsHd0J/rkTrS34tHotMTsXcPZRk+WKFPHrUMJKJmQlprInu0/onZUkZByEptLDjSvPRI31+q0afc2h/f/RrRmOypdMprsLG6cO3TfQTQP2vDhwzl27Bg7d+40btPfCYDq1asXb7/9NgD169dn9+7dzJkzhzZt2hTYn6IoJndl53eH9n/b3O3999/nnXfeMf6cnJyMr68vnTt3NilhIx49OTk5bNy4kU6dOmFubl7e0xHigZFrv/QkJCTzv2n7jT+7e9SgU8d65TgjURS5/kVlJte/qMwe1PWfmznyfimKQk5mdqn0VVLmVhZlmtlswIABNGjQgNmzZ6PRaDhy5Ajm5ua0aNGCr776ivHjxxMVFQVgDIAYPHgwZ8+eZdWqVTg4ODB27Fi6devGqVOnjL/P9PR0PvvsM3788UdcXV3zvQHk/fffZ+7cucyYMYNWrVoRGxvL6dOnTdrMmzePF154AUdHR7p168b8+fOZOHEiISEhNGrUiCVLljB58mRj+19++YXnn38elUpFbGwsbdq0YdiwYUyfPp2MjAzGjh1Lv3792LJli/GYhQsX8tprr7Fr1y5juRq1Ws3MmTMJCAggOjqa119/nTFjxjBr1iwAdu3axauvvsoXX3xBz5492bRpEx999JHJ3NevX88LL7zAzJkzefzxxzl//jwvv/wyYAioEcX30AeBmJmZ4eXllWe7oih89dVXjBs3jr59+wKGC87T05NffvmFV155pVj1lIUQQgghhHhYbA0/QWpqJl5eTvz04xs4Odka9/Xu/RjJyRkMfXkWV64ksnNnJF0617/nsbasnYUKUGzseeX9P3BwdDfZf/nSSZZ+ORCNVsuhg3/fVzaQQ9t/A8DcvSrDRv+S5wP9g/tXs23xxygpt4iPi8bDK/Cex4o+tgU14BzUiBdf+86kRIper2fN8i84u/13bJItSTufjKLoOXJ4Gc9/Px17t38fA32Onuvhl8i8kkGT5gM5vTmcxv2eMu7Pykwn6eIpNED1Vn3p+fQH/wbK9HobnVbLz9+/wc2oA1yJ3HPP5wNw9cppdEk3UAEtnx1Hsxb/zoO+o8nKTOeHac+Tff0SJ/avvq8gkIN7V6LJyUYPPPXWj3kys6Sm3GTOp31RpSWza/OCYgeBZCVkkHwyEVARsf9Xnv5qCtt2LSBp51EyzZLxHxCKckZD+oVUGjV7Dm99MCG92rJry8/kZGegeYTu9njzzTdZtWoV27dvN8lA6ebmhpmZGbVr1zZpX6tWLWOwiJeXF9nZ2dy6dcskG0h8fDwtWrQwtrl+/XqecRMSEvD09Mx3TpaWllha5g0aMzc3lzfPKwj5XYrKSq79+7d5ywn0+n9LtJ0+fZVuXRuV44xEccn1Lyozuf5FZVbW139p9Z2Tmc2kJ8cV3bAMjP/7Eyysi3/j1Jo1a0yyVYChHEtBLl26xOjRo43ZNHKzeQA4OjqiUqlMPtvODf7YtWuXcW2/ZMkSfH19WblyJc888wxgCPSZNWsWYWFh+Y6bkpLC119/zbfffsugQYMAqF69Oq1atTIZa+/evSxfvhyAF154gREjRvDxxx+jVqsZMGAA3377rTEI5MyZM0RERPDzzz8DMHv2bBo2bMinn35q7POnn37C19eXM2fOEBwcDECNGjWYOtX0hqeRI0cavw8MDGTy5Mm89tprxiCQb775hq5du/Luu+8CEBwczO7du1mzZo3xuE8++YT33nvPeH7VqlVj8uTJjBkzRoJASuihfyft7Nmz+Pj4YGlpyWOPPcann35KtWrViI6OJi4uzqRWsqWlJW3atGH37t288sorxaqnXBCpmVwxSc1AUZnJ9S8qM7n+xaNi1aoDAHTr2gBbW4s816y1tRnt24Xy86JtbNh4hPbt6uTXjVFB175Wm82Nc4fRAMGNu2Ft45SnjZd3MOau3ugSYzm4fSlhDZ64p3O6ceOysVxKiy7DMNNY5hkrrMETbPn9czRZGWxZ/0OJy4zkOn50E+rMDBTgib5jUBRVnrHad3mds7tW06iqIT3nmVNb8GoYgpVj3sfAtY0PMb8cx1xjw80TceT0+Xf/pn9mo1EUdGo1nZ98C51Ol+cNgvZPvsnvUS+izkjjbNQBAqrVv6fz2rT6G1SA3tqORk165pmnWmNOw8efZe8fU8lKuMzt24nY2Nxbdod9Ww2LfisPP3z96uYZy9LKnsB6bYnZs4r484fJysoqMkuMolNI2HkNUBFzfi8ONdyw8/DkbMQG1IBHUGOc3aqguCrcvhKPebYNaReScXDwoFuf0cC9PX8/6HrJiqIwfPhwVqxYQXh4OIGBpsFMFhYWNGnSxHg3UK4zZ87g7+8PQKNGjTA3N2fjxo3069cPgNjYWE6cOGF8c6V58+bcvn2b/fv307RpUwD27dvH7du3jW8mCSGEEMWhKAp/r40AoEmTGhw4cI4TJy6X86yEEEIIIR6sdu3aMXv2bJNt+/bt44UXXsi3/TvvvMPQoUONSQieeeYZqlevXmD/kZGRmJmZ8dhj/95I4+rqSkhICJGRkcZtFhYW1KtXcEa2yMhIsrKy6NChQ4Ft5s2bR5cuXYylW7p168ZLL73Epk2b6Ny5M88++yyjR49m7969NGvWjCVLllC/fn3jDSsRERFs3bo1T1AMwPnz541BII0bN86zf+vWrXz66aecOnWK5ORktFotmZmZpKWlYWtrS1RUFH369DE5pmnTpiZBIBERERw4cIBPPvnEuE2n05GZmUl6erqUtC2BhzoI5LHHHuPnn38mODiY69evM2XKFFq0aMHJkyeNtY7/e6eTp6cnFy9eBChWPeWCSM3kik1qBorKTK5/UZnJ9S8eZjdvZXLkaAwqFVha3GLt2rX5tjM3zwBg376z/PnnKqyti35J/99r/+rF7Wj0OnQqFdkEFDyWYxC6xFhuX45izZpVqNUlXz6cP/k7aiDbzJzLV7Vcjc1/LI2TP1w/TfTxbQXOpyinD3yPGZBj48iBg6eAU/m2q+P3IraWHqSm3OBoxHICag4ocExntTW+Ohtc7AJY+euvWDg6AnBq90osAJx82bhpS77HAuRYWGORncFfy74kqN7zJT4nvV5PbNR+zAEL15AC56nXW6JVqzHT6/n5pwn4VetY4rGyMpPJvH4JNWDpWq/AsXTqQEMJoZxsflk0Axf3WoX265HhgleGG1mZqUTs+xWfXj1Ysmgm6oxUFMDC/t+xHFTWBGCDl0dtli+Yj7Vn3qyQJfWg6iWPGjWKP/74g7/++gt7e3vjmtPR0RFra2sARo8eTf/+/WndujXt2rVj3bp1rF69mvDwcGPbl156iVGjRuHq6oqLiwvvvvsudevWNWa3rFWrFk888QTDhg3j+++/B+Dll1+me/fuhISElOm5CiGEqFhOnLzMpUs3sLIyZ8Sb3Rj44kzOnoslMzMbKyuLojsQQgghhCiAuZUF4//+pOiGZTR2Sdja2lKjRg2TbVeuXCmw/YQJE3j++ef5+++/+eeff/j4449ZunRpngCHXLnlUvLbfnfZGmtr60LL2OS+t1AQnU7Hzz//TFxcHGZ3ZVTV6XTMmzePzp074+3tTbt27fjll19o1qwZv/76K6+88oqxrV6vp0ePHnzxxRd5+vf29jZ+b2tra7Lv4sWLdOvWjVdffZXJkyfj4uLCzp07eemll0xunvnv+f33sdHr9UycONFYBeRuVlZWhZ6/MPVQB4F07drV+H3dunVp3rw51atXZ+HChTRr1gzIWwu5sDrIJWkjNZMrJqkZKCozuf5FZSbX//1ZteoAF2LieWVYJ6yt5c3gsvLDXMMH1Y81DeLZZ/NfNObati2ec+fjsLD0oVu3vJH3uQq69r+dMgcA+6oh9OqVd1GVKzOzNbM/7IiZosfVMZ3mjz9bklNCr9fz9Y7P0QABddvSvXv3AtteqRvA8q/+D4vsTOqG+uPrV3iWk/9KT08maoshg8hj7V/g8Xbd8m2XdSOT+JuGO1wP7P4Z1+oB9L2TYjI/ukwt136/gKt7NXL0KTTu1o3LF09wdnMaAL2eHUu16gWnTM9OPsClA2vR375Et275z6kwe3YsxVyvQ6+CF4dNwc7OpcC2P0WvIDXmBNqkc3TrNr3EY61cOhE1oDO3YNCQcYVm+Pjm5C8oSQloU07TbdCoAtvl3M7m+t+XAIjY+wvWro48/fIrzP/WULJG7ejGM/1fMrbXa/Vc/iUKewdPfNIv0vweHjPj2A+4XvK8efMAaNu2rcn++fPnM3jwYAD69OnDnDlz+OyzzxgxYgQhISH8+eefJqlbZ8yYgZmZGf369SMjI4MOHTqwYMECNBqNsc2SJUsYMWKEMetlz549+fbbb8vsHMuTVqvDzExTdEMhhBAltvZOFpB2bUOpFuiJm6s9NxJTOB11lfph916eTwghhBBCpVKVqCTLoyY4OJjg4GDefvttnnvuOebPn0+fPn2wsLDIkym2du3aaLVa9u3bZ8zgmZiYyJkzZ6hVq/Aba+4WFBSEtbU1mzdvZujQvKWA165dS0pKCocPHzZ5D+H06dMMGDCAxMREXF1dGTBgAGPHjuW5557j/PnzPPvsv+/3NWzYkD///JOAgACTQJKiHDx4EK1Wy7Rp04zvJy1btsykTc2aNdm/f3+e4+7WsGFDoqKi8gTliJJ7qINA/svW1pa6dety9uxZevfuDRiyfdwdeRQfH2/MDlKcesoFkZrJFZv8HkVlJte/qMzk+i+5xMQUvpq5Fp1Oz/lz15n25SBsbSXqurRptTrWrT8KQM+eTYq8Tjt2DOPc+Ti2bD1J3z7Ni+z/7mv/etx5dLeuowIe7zK00LHMzZ2x8fQnKy6G4/tX0br9wOKfFBBxYDWa7Cz0QJeeIwodK7BaGIqNPar0FPZsXUi1oTNKNNb2TfMM5Vk0Gtq0H4Qmn4WqPkfPrd3xqFARfWE3sVdPEtD1sSIeA3O0FumY59iRcTENc3Nztq2fgwpQbB0Iqdms0Hm16/oqCw6sRZOdxbmoPdQKbV2i8zqyy7BgtvGuhrOzZ6Ftm7V9nk0LPkB76zrpabdwdPIo0Vgxx8NRA1VqNc93LXS3kAadOL31F25dOoVGo8k3YETRKcTvvgJ6SEyKJubCPtq98iqKXsvtS6fQAKHNepk+/uaAgxZSzdElKJhpNKiKKDdTlAdVL/n27dvFumFgyJAhDBkypMD9VlZWfPPNN3zzzTcFtnFxcWHx4sUln+wjZPPmY3w3ex31wwIZ/9Ez5T0dIYSocDIzs9m0+RgA3bo1RKVSERrqR/i2k5w4cVmCQIQQQggh8pGRkcHo0aN5+umnCQwM5MqVKxw4cICnnnoKgICAAFJTU9m8eTNhYWHY2NgQFBREr169jBk97e3tee+996hSpQq9evUq9thWVlaMHTuWMWPGYGFhQcuWLUlISODkyZO89NJLzJs3jyeffJKwsDCT4+rUqcPIkSNZvHgxb731Fn379uW1117jtddeo127dlSpUsXY9o033mDu3Lk899xzjB49Gjc3N86dO8fSpUuZO3euSXDJ3apXr45Wq+Wbb76hR48e7Nq1izlz5pi0efPNN2ndujXTp0+nR48ebNmyhX/++cckccP48ePp3r07vr6+PPPMM6jVao4dO8bx48eZMmVKsR8rAff3btoDlpWVRWRkJN7e3gQGBuLl5WWS2jc7O5tt27YZAzzurqecK7eestRKFkIIIYQo2tp/DqHT6QE4dvwiI0b+RHJyunG/Xq/n/Pk40tIyy2uKFcLuPVEkJqbg7GxLyxY1i2zfqaOhPujhw9HcuJFcorE2rfkWFaC3siG0Xvsi29dr1huAtNgLZGWX7Pe8d/NCACzdq+DiWqWI1uBXx5AN4WrU/iJa5hV10FBOxL1Gw3wDQABu7r+ONjkbzBUidi8FtUJC5pki+3Zr6AuAh0sIsefOkHDuEAAhjYvOUuHmVhW1oysAe7YuKta5GOebeJWshKsANOtQcLaSXHXrd0ZnZo4aCN/4Y4nGOn50M+rMdBSgY/fhRbZv02mooSSMTkvE/lX5trl1OIHsxEwwg+3rvkWl0VD3iW5s3fgjGr0enVpNm04v5TnOq2k1AHy8Qrl87HiJzkNUHFbWFsTFJRF5uuAUvEIIIe7dtu2nSEvLwtvbmQb1DQEfoXX8ADhx4lJ5Tk0IIYQQ4qGl0WhITEzkxRdfJDg4mH79+tG1a1cmTpwIQIsWLXj11Vfp378/7u7uTJ06FTBkCW3UqBHdu3enefPmKIrC2rVrS3zTykcffcSoUaMYP348tWrVon///sTHx3P9+nX+/vtvYzDK3VQqFX379jVmMHVwcKBHjx4cPXqUAQMGmLT18fFh165d6HQ6unTpQmhoKG+99RaOjo6FZoytX78+06dP54svviA0NJQlS5bw2WefmbRp2bIlc+bMYfr06YSFhbFu3TrefvttkzIvXbp0Yc2aNWzcuJEmTZrQrFkzpk+fjr+/f4keJ/GQZwJ599136dGjB35+fsTHxzNlyhSSk5MZNGgQKpWKkSNH8umnnxIUFERQUBCffvopNjY2PP+8odZ2ceopCyGEEEKI/CmKwpo1hpR8/fu1ZN36w0RGXuHNEfMYNrQje/aeYfuOUyQmptCgfiDffTusnGf86Fq92vA4d+vaEHPzol+ie3s7Exrqx4kTl9i85Tj9+7Us1jh6vZ6rp3ajAarVLzoABKBF62fZu2omGr2eXeGLad85b7rJ/KSm3CQ99gJqoFHr54p1TNtOQ/n5wD9osjI4G7WPoJDHinXc+bMHUKUlowDtn3wj3zZpF1NIOZMEQHTsDrKz09C46MhJiiU15SZ29gWXWXEK9iBxdxy2dq7sX/oHGp0OnUpFx66vFmt+Nep34Oy2ZdyIPoZery900Xy3jWu+MZRnsbCiQaMni2yvVqtxqxbGrTMHOX90CzzzQbHGAdi1wfBGgJmzJ55e1Ytsb2fnhIVbFbQ3rhKx83ea3AkWypURl8bt44kAxKUdIyM9ieBWj2Pv5sbJfYagEZfAulha5M0sZOvryDXdeSwsbbm0IwK/+mF52oiKr1atqgBcunSDtLRMyUIlhBClbO1aQ1Br1ycaGF+bhIbeCQI5ealY5bSFEEIIIR51CxYsyHd727ZtURQFgMGDBxvLvFpYWPDrr78W2ufs2bOZPXu2yTZnZ2d+/vnnAo+5e4zC5qdWqxk3bhzjxo3L0zYnJ6fA/mfOnGny839LtdwtKCiI5cuXF7g/PDw83+1vv/02b7/9tsm2gQNNswoPGzaMYcOGmfz839IvXbp0oUuXLgWOL4rnoc4EcuXKFZ577jlCQkLo27cvFhYW7N271xjtM2bMGEaOHMnrr79O48aNuXr1Khs2bMDe3t7Yx4wZM+jduzf9+vWjZcuW2NjYsHr16gLT1QghhBBCCIMjR2O4fCURG2sLhg3tyHffDMPFxY6z52IZ894iVqzcR2JiCgCHj0Rz6dKNcp7xoykh4TZ79kYB0L1742If17GDIRvIpk3Hin3M/r0r0Ghz0AOdnnyzWMeYmVlg7xMEwIn9q4s91sa136FWQGdmTvPHny36AMDDKxCVvaGM467NC4o91tZ/DAtrlYML/gH18uzXpudwY1csALYh9hzc8Jthhyd3smbMK7R/tZkaxd6wkLbLckdRwL5qMNY2RZf+AENwix7QaHM4enhdsY7R6/VcPL4dAL/Qx4sdONKqw2DD8ck3uZFQvLt4M9KTSb5iuAbDWj1drGMAajcxZEJJvhKFVptt3K7L0pGw/RoAttUd2LvGkBGmfveeXLp4AiX5JgBtnsg/iEalVmHmYThfdbIleq222HMSFYeLsx2enk4oisLpqKvlPR0hhKhQkpLSOBhxHjAEIecKCfHBzEzDzZupxMbeKq/pCSGEEEKICurLL7/k6NGjnDt3jm+++YaFCxcyaFDR2W9FyT3UQSBLly7l2rVrZGdnc/XqVf78809q165t3K9SqZgwYQKxsbFkZmaybds2QkNDTfrIraecmJhIeno6q1evxtfX90GfihBCCCHEIyc3O0WHjvWwsbGkWjVPZn37Mj4+Ljg52dKzRxOmfzmYJo0N0dqbNh8tz+k+stb8HYFerxBWzx9/P/diH9ehfV3UahUnT13m2rWbxTpm/xbDHQdWXv44OBZ/rEatngEgK/4y6em3i2yv1+s5d2gDAF4hTYodwABQPawdAPHnD6PX64tsn5WZzs0LhkCY2k3yZstQFIWEHbHos3RYuFhyOW4/OZmZuPkH4FbHsHY4e2RjnuP+y7uZITuGr29j1FmWtOo0pNjn5ODghrmrNwAHthV+t0iuwxF/o8nORA907F68gB2A4Fot0FlaoQLC188t1jGb/pmDRlHQaTQ83m5g0Qfc0brdIHQqFRq9nj07DXeQKIpC4p44dGlazOzNuZEdRfrtJOxc3aj+2GNsXvMNKkCxdSg004tPi2AAPL1qErP/ULHnJCqWWrUMZaQiIyUIRAghStPRYxdRFIXAAA98fP7NhmZpaU5wkOE1i5SEEUIIIYQQpW3//v106tSJunXrMmfOHGbOnMnQocXLOixK5qEOAhFCCCGEEOUjJSWDLVuPA9CzexPjdj8/N37/bRR/r/6A98b2oVmzYLp0qQ/Axk3HjGkSRfEk3Ejml193ANCzZ9MSHevqak/DBtUA2LS56GwgRyLWkR1/GYBm7UsWYd+oaU90Gg1qYPumBUW2X7/6a9QZaShAhyeHl2isNrlZM3KyOXl8a5Htf1s4Bo1ej06tpn2XV/LsTz1/m8xraag0KhwaO7Fj4U8ANOjZi+Z3Ah50STe4mVj4h8x2fs6kpt/A3NwKL+tm1K3fqUTnVavREwAkXT6NrojMFjqtlq1/fgmApXsV3Nyqlmgs72DD32zMyR1Ftk1NTSJy5x8AuNdoiJmZRbHHsbSywcYzAIBje1YCkHEllbToZFCBS3N3wn80ZGkJ696da7FnuXHmAAAhjbsV2reVmy0Z2iTUajNi958v9pxExVKrpuHaj4y8Us4zEUKIiuXo0RgAwsIC8uyrU8dw89yJkxIEIoQQQgghSteyZcuIj48nIyODkydP8uqrxSu1LEpOgkCEEEIIIUQeGzcdJTtbS7VqntSubfoBtEqlMqkP3qZ1bSwszLh4MYFz5+Ie9FQfaTNn/k1aWha1alWlc6ewEh/f6c4xG4soCaPVZrNh6WRUgJmbD02a9S7ROBozM5z8DBn5zhYRmHHrVhzHty4BwCWoEVWq1izRWM7OXpg5ewBwaE/B9UcBLpyL4PrJ3QCEtOyLpZVNnjYpp5MAcApzY+fSeaTdvImrnx8Ne/ehTr126MwtUQF7d/xW6Fh7dvzGxeuGoIpqPm1KdE4ArdsPQq8CjU7HiWObCm371++fokpPQQ/0emFKycfqeCdLSVoyt5PiC227dN7baHRadBoNTw38pMRj1WvWyzDU9RgAku883g61XTjwz2/cunoVOzc3mj83gD9+fAe1AnprW7r1eqfIvm0C7ACw0jqjzcoq8dzEo69WrTtBIKclCEQIIUrT0WMxQP5BIKGhfgCcOHH5Ac5ICCGEEEIIUZokCEQIIYQQQuSRWwqmR/fGJgEf+bG1taJF8xDAEDwiimfPnig2bzmORqNm7JjeaDQlf2nepnUdunSpz6uvdC40C8uKXz9Gk5WBXqWi39AZ9zTfwDulOzJuXS+03dK5bxsyc5iZ89xL0+5pLA/fWgDcjL1QYBu9Xs+K+WNQA4qdIz2eei9Pm+xbWWQlZIAKUpU4Dv21EoCu747BzMKQ8cLW3fAh89WYggNpMjJT2fnXV1xO2W6Yn3sQqXG3SnRO1jYOqGwdATgftbfAdvFx0Zzb+xcAPvXa4B9Y8uAg/8AwdBoNKuDU8fAC2508tpWk84a/2Qadh+Dg4FbisRo26Y4CaPR6rp4/TcbVVAB0dmnsWbIYgC4j32HHjsXobl1HAboOmIjGzKzIvqu2CEFR9Dh5+qAUnjxFVFA1QwzlYOLikrh1K7WcZyOEEBVDenoWZ85cAyCsXkCe/blBIGfPxZKZmf0gpyaEEEIIIYQoJRIEIoQQQgghTERFXSXqzDXMzTV06Vy/WMd07FAPMJQlkZIwRcvMzObL6asAeObpFgQH+dxTPw4O1nz8UT9atqhZYLBOavJVrh7dAkBgk254+wTd01g1Qw3ZL9TZWaSn3863TcSB1aRdiQKgeY/hWNs43NNY/jUaA5CTnFhgm3/+mg4pt9ADPQd9ilqdd2mTcjYJAOuqtvzz1VRQFOo90Q3/Bg2NbTx9DZlKkhMKTnm+bP4YNDnZpCg3uHHjPCqVmoSIkqdId3A3pFe/fimywDZLfxyJRlHQWVjR78XPSjxGLnN7FwBizh3Id79Oq2Xtko9RAWpnDzp1fe2exrGzd0FvbgioiTscDQpYelizbtb/0Gu11GjRkioN6nJo/Y8AOFarS2i99sXq28zWAt+ngqj2Ql3MbS3vaX7i0WZnZ4WfnyE46fTpwks2CSGEKJ6TJy+j0+nx9HTCy8spz34vTyfcXO3R6fScjpLnXiGEEEIIIR5FEgQihBBCCCFM/LXK8KFx69a1cXKyLdYxLVvWxMbagri4JE6clNTRRflp/hZiY2/h6eHI0Jc6lOlYl04sM5bg6PPsx/fcT5WqtdCp1IbsEie259mfk53J5mWfoQLM3avyeLuB9zxWnXrtANDotNy4kbcMxK2b1zi5bSkA7jWbEhzSPE8bRacn9ZwhWOVa7FHiz5/D2tGRDm8MN2lXPbgZALrU2+j1+jz9nI3aR3ykIXNH7db9SFUMJY908aDoSxbw5OMfCkDqzWv57t8Rvpic+MsoQPt+72NuYVWi/u/m7BUIQMLVM/nuX/HbRNQZqeiBp+8xY0suKyd3QIX1bWcAbmXEcPnoUcytrHji7Xf4dd7baHQ6dBoznnupZJlozB0tisxGJCo2KQkjhBClq7BSMGAo/SglYYQQQgghhHi0SRCIEELch4SE23z9zd9cuVrwncpCCPEoOXcultVrDKVgevdqWuzjLC3Nebx1bUBKwhTl/IU4fl26E4B33umJjU3ZZTjYumEuFhnJJSrBURC1Wo3GzlDOJObM/jz7f180Dk1WJjqViv7D7q3kTC5nFx90d+YaeSI8z/5f5440lpzpP+TLfPtIv5SKPkuHylLFpp+/AqDDa29g4+Rk0q5mnccN5UwUhSuXT5ns0+v1rFr4vmHRZO9Mt97vYu1rS1ZmKhosjKVPiiu4VivDNxlpaLWm6dUzMlPZs+obAGyrBtO4aY8S9f1fVas1ACAzKT7Pvutx57mwf62hXYMO+PrVua+xXH2CcLerhbXaEZWZik0/G4JKWg8ZyqW4EyRHnwCg0RPDsLuToUSI4qpV804QSKTcjS6EEKXBGARSz7/ANqF1DEEgx+60LakbN5K5eTPlno4VQgghhBBC3D8JAhFCiPuw5u8IfvttF38u31veUxFCiPum1+v54n8r0en0tG1Th0YNq5fo+NySMFu2HEer1ZXFFCuEFSv2odPpadWqFo+3qlWmYx3b9TsA9v51il2CozCOHoYPC65fMS1notfruXInO0i1pt3w9CrZtZMfCwdDCYhL5yJMtqem3CT96jkAWvQcgbWVXb7H55aCScq4SE5mBr71wqjX7ck87axtHNDfybhx+sQ2k31Rp3ZCahJ6oPfgz1Gr1fjUqkn0ud2GMc4kleicqgc1RY9hEXb2tOlrhx2bF6LR5qBTq3l22Fcl6jc/te4q35OaajrPTWu+NZScsbTimYGf3PdYATUa4+/aFoB0bpB6KxGPatVp8kw/tq/7/k7JGU86dBl232OJyufuTCBSbkwIIe6PVqvj5J2sfWH1Agps16hRNQAOHbpATo622P1fvXqTTz79kz5PTeWFF2fKmkAIIYQQQohyIkEgQghxH1JTMw3/pmSW80yEEOL+/bXqACdPXsbGxpK3R3Yv8fFNm9TAwcGamzdTOXIkugxmWDEcjDgPwJPdGpXpOBnpySiphnIoLTsOKZU+qwTUBSD9ZqzJ9ujzEWh0OhTgiZ5vl8pYLt6GDx9uXDtnsv3A3hWoAJ1GQ4vWz+V7bE5qDhlX0wCIOr4JgHpduxVYVsTaxROAK9GmWWyOHvwbALWdE9WDmgDgFRzC+bOGTC7pl1PRpucU+5w0ZmaobOwBOHt6l8m+86cMfdp5V8PZ2avYfRbE2ycYndpQvuf0SdPglriY4wBUrdkcMzOL+x6rZkgbqjgZHp8zkVsACO3cBY2ZGWnxlwCo27z3fY8jKqfgIG80GjU3b6YSH3+7vKcjhHiAzl+IIzMzu+iGotiioq6RmZmDg4M1AQHuBbYLCvLGxcWO9Ixsjh2/WGS/CTeS+ezz5Tz7/HT+XhuBTqcnKSmNhBvJpTl9IYQQQgiRj4CAAL766qvynoZRTEwMKpWKI0eO3Fc/bdu2ZeTIkaUyp4KoVCpWrlxZ7PYTJkygfv36ZTaf0iRBIEIIcR9y74jJzJI3poQQj7bExBRmz1kPwMvDOuHu7ljiPszNzWjXNhSAjZuOler8KoqEhNtcunQDtVpFwwaBZTrWoQNrUANalYqgmi1Kpc+QOq0N32RmkJX9bwDkkQOrDd/Y2JdauQ/fO+VMsv5TzuTsnYwjNu6+qNX5L2dS72QBsfCw5MIRQ8aNgEaNCxzL3ScYgKTrMSbbY+8EhbgH/FsuxcLGBgsnCxKunwUFUs+W7ENpW1cfQ98XT5psT4kzjF2tVssS9VcQQ/keJwCizxwwbs/KTEeffBOAuo27lcpY5jet0agtSEq/yOn9hiCQgMaNuRh9FI1WiwI0adanVMYSlY+lpTnVAg2BWpGnr5TzbIQQD8qChVsZ+OJMhr48m6ys4gdcisIdPRoDQL16AQW+jgLD64jHmgYBsHfvmSL7HffhL6xecxCdTs9jTYNwdrYFICFegkDEw0ev1/PPusOcPRtbdGMhhBAV3uDBg1GpVKhUKszNzfH09KRTp0789NNP6PX68p5esRw4cICXX3652O11Oh0zZsygXr16WFlZ4eTkRNeuXdm1a1fRB//H4MGD6d27t8k2X19fYmNjCQ0NLXF/d1u+fDmTJ0++rz6Ka8GCBcbroKCv8PDwUhkrPDwclUpFUlJSqfRXEAkCEUKI+5CVbQgCycqUN6WEKC9XriQydNgsJk5eJumG78PXM/8mNTWTmiFVeKpvs3vup2NHQ0mY8PATZGcXP3V0ZXEw4gIAwcE+2Ntbl+lYUccMH8Yr1k6FvslfEgHVGqBXqVADZ07tMG6/ctZQssWlakipjANQM7QtAGptDsm3E4zbk+5kBvELaZrnGEWvkHM7m9RzhsCMTE0iep0OJ28fnLy9CxwrINjQlzblpnGbVptNTpJh3Nr1O5u0965Zi3NRhvNPOZNUohIVXn61Dcfd+PfD7NhrZ9HkZKEAjZuXXrCEo4cfAPFXThu3HY74GzWgU6moXafNffWv6BVyUrKNZXGiY8PRZWVjZWePZ40gDu37y9DO2hZHJ4/7GktUbjVrVQEgMvJqOc9ECPEg/LZsFz/M3QjAhQvX+ebbteU8o4rjyLEYAOoXUgomV7NmhiDZvfvOFtouPT3LWGLm25lDmTH9//D3N2QZiU+QDE7i4fPT/C1MnvI7745ZKO8hCCGEAOCJJ54gNjaWmJgY/vnnH9q1a8dbb71F9+7d0Wof/vc33d3dsbGxKVZbRVF49tlnmTRpEiNGjCAyMpJt27bh6+tL27ZtS5QVoyAajQYvLy/MzMzuqx8XFxfs7e3vez7F0b9/f2JjY41fzZs3Z9iwYSbbWrQonZvsHhQJAhFCiPuQ+wFnVtbD/0JAiIooJiae19/4gVORV1i//ghzf9xU3lN6JO0/cJZNm4+hVqsYO6Y3Gs29v0SsHxaIm6s9KamZ7N9f+BvGlVHEnVIwjRtVL5P+9Vo9ScduoE3NIfGK4a5NK+eAUutfrVYby5mcO70HAJ1WS9bN6wDUCutYamN5e1dHp9agAk6dCAfgxo0rqLMyAGh8J7OEPlvHjV2xXP7zPDE/n+bK8vNoU3NQW6iJObcPgIBGhZfeqR3aBgXQ6PXEXjNct0cPr0ejKOhVKsLqdzKdW61aXIo5gFaXjTY1h8zY9GKfV407WVmU9BR0d95IOLhnheFcLK1wc/crdl9FqRoQBkDaXeV7Io8YnictXLzQ3MNiXK/Vk7g3jivLzxOz6DRX/jhP9q0s9IqWi9GGrCv+DRui1mi4fNaQgcSlSvD9noqo5GrVrApAZKRkAhGiIklOTufipQSTOyxXrznI1zMN5djatzPcObh8xT527IwslzlWJHq9nmN3gkDCwgKKbN+0SRAqlYrz5+MKLccVHR2Poii4utrTsKGhnJ/HnayCUsZLPGx27ozkp/mGYPmEhGT2FCPTjRBCiIrP0tISLy8vqlSpQsOGDfnggw/466+/+Oeff1iwYAFDhgyhe3fT0tlarRYvLy9++uknwFC6ZMSIEYwZMwYXFxe8vLyYMGGCyTHTp0+nbt262Nra4uvry+uvv05qaqpx/4IFC3BycmLNmjWEhIRgY2PD008/TVpaGgsXLiQgIABnZ2fefPNNdLp/Axn/Ww4mKSmJl19+GU9PT6ysrAgNDWXNmjUALFu2jD/++IOff/6ZoUOHEhgYSFhYGD/88AM9e/Zk6NChpKUZSiznlj75/vvv8fX1xcbGhmeeecaYwWLChAksXLiQv/76yyRbxn/LweRmvli/fj0NGjTA2tqa9u3bEx8fzz///EOtWrVwcHDgueeeIz393/fY7i4Hk9vHf78GDx5sbL969WoaNWqElZUV1apVY+LEiSZBPGfPnqV169ZYWVlRu3ZtNm7caNxnbW2Nl5eX8cvCwgIbG5s823ItWrSIgIAAHB0defbZZ0lJSTHuUxSFqVOnUq1aNaytrQkLC+OPP/4ADKVy2rVrB4Czs7PJOaxbt45WrVrh5OSEq6sr3bt35/z589wrCQIRQoj7kJ0l5WCEKC9nz8by+vC53EhMwdPD8CbjosXb2Lb9VDnP7NGzYaOh5EWvnk0ICalyX31pNGo6dDBkA9m46eh9z60iURTFGATSqIyCQG7suMatiATi919GlWFYRLp61y/VMRzcfQGIu2T4MCby1HY0ih490LBJ90KOLDkze2cAou8EExzcsxwVoDO3wKdKCDnJ2VxbE0PKmSS0ydmggEqjwtzZEpfHPIk+ZDiuqCAQBwc39OaGhVzkiW0AnDpsWAiaObpibmFl0t6nVm102mwuxewH4PapmxRXcK2W6AG1ohAdfQiAi1GGYBUn79K9LoLrPA6AKiuDrEzDIjrxsiErSNXqDUvcnzYth9i1F0mOvEXO7WzQ33m8nSxIcrlM5k1DgI5/w0bo9XoyEw3BJ8H12pXG6YhKrFYtQxDI6airj0w6XiFE4bRaHUOGzuK552fQveenjPvwF76btY7PvzAERj7/3ONMnvQczz3bCoBPP/uTBMkqcV9iYhJITs7AysqckBCfIts7OtpQ+87z775CgrvPnY8DoFo1T+O23NKSCQlSDkY8PC5dusHEycsAcHGxA+CvVfvLc0pCCFGhKYqCPkdfLl8lydhakPbt2xMWFsby5csZOnQo69atIzb235ts1q5dS2pqKv369TNuW7hwIba2tuzbt4+pU6cyadIkk0ADtVrNzJkzOXHiBAsXLmTLli2MGTPGZNz09HRmzpzJ0qVLWbduHeHh4fTt25e1a9eydu1aFi1axA8//GAMKvgvvV5P165d2b17N4sXL+bUqVN8/vnnaDQaAH755ReCg4Pp0aNHnmNHjRpFYmKiyZzPnTvHsmXLWL16NevWrePIkSO88cYbALz77rv069fPmEmlqGwZEyZM4Ntvv2X37t1cvnyZfv368dVXX/HLL7/w999/s3HjRr755pt8j23RooVJVo4tW7ZgZWVF69aG0tXr16/nhRdeYMSIEZw6dYrvv/+eBQsW8Mknnxgfl759+6LRaNi7dy9z5sxh7NixBc61MOfPn2flypWsWbOGNWvWsG3bNj7//HPj/g8//JD58+cze/ZsTp48ydtvv80LL7xgzLjy559/AhAVFUVsbCxff/01AGlpabzzzjscOHCAzZs3o1ar6dOnzz2/D3J/eViEEKKSy80EkinlYIR4oCJPX2Hk2/NJSckgJNiHGdP/j4U/h/Pbsl1M+eR3qgW+ga+vW3lP85GRW6s7tE7pZCDo2KEevy3bxY6dkWRkZGNtbVH0QZXAlSuJXI+/jZmZhrB6/mUyhkMdV9JiUsi8mImDVRWScq7j4Fh6mSUAvPzrkBJzktSbhrIMxw4aUrSr7Z2xtCpe6snicvIM4NbtG9y4arhDL/qUoTapvWcgGdfSiN96BX22Ho2NGa7NvbB0sUJja4ZKpSI9KYnrZw0fWPg3bFzkWJaO7mhvXOXyhcMAxF88YTjfavXztPWsXgONuTknD6+lWo1WZFxOJfN6OlaeRZ+/pYUVWNlAZjpnT+2iRlBT0hMuowFqhN5feZb/Cgisj06lQqMoREXupFqNxpBuuDOh/mN5F/uFyUzIIH7zZXQZOtSWGsPj7W6NmY0ZKrUK9SUt+jTDPQZuwYFEnd6NRm8IDmrctGepnpeofKpX88TCwozU1EyuXLmJn5/8Hy/Eo+7w4WiuXTMEUSYlpbM1/IRxX5/eTXnj9SdQqVS88nJnIg5d4MyZa0ya8jtfzxhSamXuKpujd7KA1Knji5mZpljHNGsWzMlTl9mzN4oe3fN/PXX+giEIpEZ1L+M2Dw8HQDKBiIdHWnoW73+wmLS0LOrV9Wf06F4MfHEme/ee4fr1JDw9ncp7ikIIUeEoWoWLi6PKZWz/F0JQmavuu5+aNWty7NgxWrRoQUhICIsWLTIGbcyfP59nnnkGOzs7Y/t69erx8ccfAxAUFMS3337L5s2b6dTJkGE2N6sFQGBgIJMnT+a1115j1qxZxu05OTnMnj2b6tUNNwo9/fTTLFq0iOvXr2NnZ0ft2rVp164dW7dupX///nnmvGnTJvbv309kZCTBwYbMrNWqVTPuP3PmDLVq1cr3fHO3nznzb6aszMxMFi5cSNWqhuDgb775hieffJJp06bh5eWFtbU1WVlZeHl55dvn3aZMmULLli0BeOmll3j//fc5f/68cX5PP/00W7duzTc4w8LCwjhGYmIiw4YNY8iQIQwZMgSATz75hPfee49BgwYZz3ny5MmMGTOGjz/+mE2bNhEZGUlMTIzxXD799FO6du1a5Lz/S6/Xs2DBAmOpmoEDB7J582Y++eQT0tLSmD59Olu2bKF58+bGuezcuZPvv/+eNm3a4OLiAoCHhwdOTk7Gfp966imTcebNm4eHhwenTp0iNDS0xPOUVZMQQtwHYzkYCQIR4oFJT89i1LsLSUnJIDTUj5lfv4STky1vvP4EYfX8SUvL4v1xS8jIkAw9xZVbq9v9TkaV+1W7dlV8fFzIzMxh1+7TpdJnRZCbBSQ01Bcrq7IJjLHysMbGzx4VKup498fGvWqpjxFUy3BHLumpaLXZxEUfA8AjoOSLkaL43gnAyLgVD0BK/EUAGgQ+Q9yGS+iz9Vi6WeHTIwBbP3vM7MxRqQyL/IuHDVk23AMDsbuzuCqMm08NAG7FXiAjMxV9ShIA9RrmXQxqzM3xqFGDlOTraG0MGVduHowv9p0mNi7eAFyNOcaF84fQ6LQoQONmvYt1fHGp1WrUtoYPYc6d3kvE/r8MmVQ0GqpVLzowJlfqhWTi/rmILkOHuZMlPj0CsAt0wNzOHJXa8Hhn30gFRQVmCrG3znHsgCGVv8rOEWsbh1I9L1H5mJlpCAoy/N1EnpaSMEJUBJu3HAfgyW6NmDPrFV4e1onHmgbx/HOPM+qdnsb/zy0szJg4oT9WVuZERFxg2e+7y3Paj7Sjxwyvo8LqBRT7mGaPGT44OHDgHFqtLt8258/lEwSSWw5GsreIh4CiKHz66Z9Ex8Tj5mrPJ1Oep3o1LxrUD0SvV1jzd0R5T1EIIcRDSlEU4+vSoUOHMn/+fADi4+P5+++/jQEIuerVq2fys7e3N/Hx8caft27dSqdOnahSpQr29va8+OKLJCYmGsuvANjY2BgDQAA8PT0JCAgwCTbx9PQ06fduR44coWrVqsYAkHuRe84Afn5+xqAJgObNm6PX64mKKnmAz92Pj6enJzY2NiYBKoWdV66cnByeeuop/Pz8jBk0ACIiIpg0aRJ2dnbGr2HDhhEbG0t6ejqRkZH5nsu9CAgIMAaAgOnv+dSpU2RmZtKpUyeTufz8889FlnY5f/48zz//PNWqVcPBwYHAwEAALl26dE/zlEwgQghxH7KzDcEfmVkSBCLEg/LPP4dISkrDx8eFGdP/D1sbS8DwAdHkSc/xfy99x4UL15n5zd+MHdOnnGf7aMhN0+zuXjof1KpUKjp2qMfPi8LZuOkoHTvUK/KYyuDgnSCQxmVUCiaXcyN30i7exsepERneGaQVfUiJBAU3NZQzAaJO7UKXnIgaCG3YpZRHgpqhbTi27kfU2ZlcOBeBJicbH6emeKYa7kywre6AWwtv1GZ5Y9tjIgxv5gY0Kl6wg3+NxsQd20Z2ciKH969BDejUamoVkJ3Dp2YtYiMjuZJwiED7NmTFZ5BxORUbP/t829/N07cmF6+d53b8JQ7v+wsAxcYOB4fSz27g4O5LSuptrl8+ReJ1wzVo7Val2HdRZ1xLI2H7VVDAxtcO9zY+qM3z3j0cE3EQALW9novnDxIXY/hwz92vdimdiajsatWqysmTlzl9+ipdOtcv7+kIIe6DVqtj2/aTAHTpHEa9ev7UKyRLmr+fOyPefJKp/1vJT/O30K1rQ6ytzR/UdCsERVE4eiQaKFkQSM2aVXB0tOH27XROnLxE/bDAPP3mloOpXuPfIJDc4HIpByMeBouXbGdr+AnMzDR88skAXF0Nr9d79WzC4SPRrFlzkMGD2qHRyP2yQghRmlRmKvxfCCm3sUtDZGSk8YP4F198kffee489e/awZ88eAgICePzxx03am5ubvkZVqVTGUh4XL16kW7duvPrqq0yePBkXFxd27tzJSy+9RE5OTqF9FNbvf1lbWxd6TsHBwZw6lX859chIQ+nnoKCgAo/PDRC5O1CkuO4+j5KeV67XXnuNS5cuceDAAczM/g1z0Ov1TJw4kb59++Y5xsrKKt8bt+7lHKDw33Puv3///TdVqpiWXbe0tCy03x49euDr68vcuXPx8fFBr9cTGhpKdva93ewqr2yEEOI+ZBnLwUjGASEeBJ1Oz2937v57rn9LYwBILjc3ByZ8bKjDuObvCKkbXgxpaZmkp2cB4O5Wenfrd+poCPzYu/cMKSkZpdbvo0qv13Po8AUAGjUs2yCQ29lxxCRuA6CGRSu4/zKoJszMLMDacPfBjvVzUSsKOpWKumEdS3cgoErVWuhUKlTAhhXTcLIOpLH/qwA41HLG/XGffANAAGIOGYJA/Bs2KtZYteu2BUCj03L0TmCGpYtXgcES3jUNgSiXI4/gUNuQaeRmRAKKvugHPDC4KQC61CSunDPM07VK2bwx4u1nyNCSmniVpGvnAPC7M35RspOyiN96BRSwreaAR4eq+QaAwL+Pt9peT8KV0+QkJQBQu36n+z0FIQAIDvIB4OzZa+U8EyHE/Yo4dIHbt9NxcrKlfv3Aog8AenRvTI3qXqSmZvLzom1lPMOK5/JlQ1lCc3MNdesWv1SgRqOmaRNDtrS9e8/m2Z+QkExKSgYajZoAfw/jdo87weWJiSkFZhAR4kHYf+As3/+wAYC3R3anbui/13+bNnVwcLDmevxt9u3Pe30LIYS4PyqVCrW5uly+7vXD/btt2bKF48ePG0t0uLq60rt3b+bPn8/8+fP5v//7vxL1d/DgQbRaLdOmTaNZs2YEBwdz7Vrpr2/r1avHlStXTEq63O3ZZ5/l7NmzrF69Os++adOm4erqaixfA4YsFHfPc8+ePajVamOmEQsLC3S6B/N6b/r06fz222+sWrUKV1dXk30NGzYkKiqKGjVq5PlSq9XUrl0733MpbbVr18bS0pJLly7lmYevry9geMwAk8ctMTGRyMhIPvzwQzp06ECtWrW4devWfc1FgkCEEOI+ZBuDQCQTiBAPwq7dp7lyJRF7e2u6dcv/g91GDasTFhaATqfnz+V7H/AMHz25d+fZ2VlhY1N4NHJJVK/uRWCgBzk5OrZtzz+6vDI5f/46SUnpWFtbULt26ZdoudvBPcuJjPsTnT4b5TbY59iW+hh2roZI9pTLhnI/5k7uhuCQUqZWq9HYOQGgjYunefVRmKktsa5ii0tTzwIX9cnx8dy8fAmVWo1//QbFGsvFtQo6jeEOgtTLhpSWVWsUHEDic6dOalxUFA61HVFbqMlJyiL1fNHBZ7XrtEEBNIpC9g3D4rNmWIdizbOkgmq1MHyTkYYq0xCQ1ahZ0VmSdJlarm+6bCi542GNW0vvAh/vrLQ0rt25W0RjryMr4SoaRUGvgvoNnyidExGVXtCdO8zPnosrduklIcTDactWQ7aodm3rYGaWf3Dhf2k0al571ZB17I8/93D9elJZTa9COnDQEAhat65/icsSNmtmCFTduy/vBwm5WUD8fN2wsPj3TkxnZzs0GjU6nZ5bt1LvddpC3Jdr124y/uOl6PUK3Z9sRO9epoHQlpbmdH2iIQCrVh0ojykKIYR4SGRlZREXF8fVq1c5dOgQn376Kb169aJ79+68+OKLxnZDhw5l4cKFREZGMmjQoBKNUb16dbRaLd988w0XLlxg0aJFzJkzp7RPhTZt2tC6dWueeuopNm7cSHR0NP/88w/r1q0DDEEgffr0YdCgQcybN4+YmBiOHTvGK6+8wqpVq/jxxx+xtf33vUQrKysGDRrE0aNH2bFjByNGjKBfv354eRnW6AEBARw7doyoqChu3LhhktWkNG3atIkxY8bw5Zdf4ubmRlxcHHFxcdy+bXgfbvz48fz8889MmDCBkydPEhkZyW+//caHH34IQMeOHQkJCeHFF180nsu4ceNKfZ729va8++67vP322yxcuJDz589z+PBhvvvuOxYuXAiAv78/KpWKNWvWkJCQQGpqKs7Ozri6uvLDDz9w7tw5tmzZwjvvvHNfc5EgECGEuA+5QSDZ2doi01QJIe7f0t92AtC7V1OsrQt+8/LZ/q0AWLFyPxkZkqmnMLl1ukurFMzdOnUMA2DjpqOl3vejJrcUTFi9AMzNy7YiY/TpPWTm3OJipuGNTO8Mt2JlpygJLz9DAETuYsKnWv1S7f9ujh5+aNSWtKz2DtbmzmSbpePRtgoqdcF3deSWJvEKCcHKvujyLLksHAx3EeSeV4OmPQts6+rnj4W1DTmZmdyMvYJjPUMpl1uHE9BrC39NYG3jgN7CyjiWHmjQtHux51kSNe4q36MCdGbmVPWtVegxik4hfutVtCk5mNmZ49m+aoEZVwAuHTmCotNh5+GOyuLfx0/j4Ib5nfOsDKZNm0aTJk2wt7fHw8OD3r17F1oj95VXXkGlUvHVV1+ZbM/KyuLNN9/Ezc0NW1tbevbsyZUrV0za3Lp1i4EDB+Lo6IijoyMDBw4kKSmpDM7q4REQ4IFGoyYlJUPKCwjxCNNqdWzbZigF065d3RId26xZMA0bViM7W8tP87eWxfQqrAMHDEEguVk9SuKxpoZjzpy5RmJiism+87mlYKp7mWzXaNS43Sm5ER8vz9mi7C1esp2+T09lwsTf2LDhCAkJt3l/3BKSkzOoVasqo97pmW9Ac88ehtKRu3af5sYNuVaFEKKyWrduHd7e3gQEBPDEE0+wdetWZs6cyV9//YVG82/QcseOHfH29qZLly74+PiUaIz69eszffp0vvjiC0JDQ1myZAmfffZZaZ8KAH/++SdNmjThueeeo3bt2owZM8aYdUKlUrFs2TLGjRvHjBkzqFmzJo8//jgXL15k69at9O7d26SvGjVq0LdvX7p160bnzp0JDQ1l1qxZxv3Dhg0jJCSExo0b4+7uzq5du8rknHbu3IlOp+PVV1/F29vb+PXWW28B0KVLF9asWcPGjRtp0qQJzZo1Y/r06fj7G8pOqtVqVqxYQVZWFk2bNmXo0KF88sknZTLXyZMnM378eD777DNq1apFly5dWL16tbG0UJUqVZg4cSLvvfcenp6eDB8+HLVazdKlS4mIiCA0NJS3336b//3vf/c1j7J9B1oIISq43CCQ3O9LekeNEKL4Ik9f4ciRGDQaNU8/1azQtq1a1qRKFReuXr3J2n8O0bNH8cpBVEa5H6S5uzuWet8dO9Tjh7kbiYg4z82bKbi4FP/D+EedTqdHURTj3a0RhwxBII0blW0pGICUmItoAPz1qG6rscq2JONyGhY1Su//qBo1m3Nh90rjz/WalE0AA0CVgHpY5zyGk00gmTm38elaHbWF6V3Dil6PXq9Hc6cWaG5pksCGjUs0lrN3NW7cug6ATmNGtUIygag1GrxCQrh05DDXTkdSr0s3kk/dRJemJfXcbRxqOhc6lrWzB9nXLxn6snfC2squRHMtLjMzC7Cxg3TDXbj2ngFFHnMzIp7MuHRU5mo8O1ZFY226bFT0evQ6HZo7NVBjDhmCbmo0bcbJ2Kto7gTGegXWK8Uzefjt2rWLN954gyZNmqDVahk3bhydO3fm1KlTJnfRAKxcuZJ9+/bl+6bRyJEjWb16NUuXLsXV1ZVRo0bRvXt3IiIijG8+Pf/881y5csV4J8/LL7/MwIED803nWlFYWprj5+dGdHQ8Z8/F4uFR+v9vCSHK3sGI8yQnZ+DsbEv9sIASHatSqXj9tScYOmwW6zccxcc7tGwmWcFotTpjWcLGjUseBOLiYk/NkCqcjrrKvv1n6da1oXFfbhBIjRpeeY5z93Dkevxt4hNuUwffe5y9EEW7dSuVH+dtIjtbS1xcEhs2/nsTgpOTLZ9OeR5LS/N8jw0M9KReXX+OHb/I32sPMejFtg9o1kIIIR4WCxYsYMGCBcVqm5GRQVJSEi+99FKefeHh4Xm2rVy50uTnt99+m7fffttk28CBA43fDx48mMGDB5vsnzBhAhMmTMgz57vFxMSY/Ozi4sJPP/2U7zkAmJmZMWrUKEaNGlVgm7u99tprvPbaa/nuc3d3Z8OGDXm2353Bs23btnkyehbnXO9+TPN7HP6rS5cudOnSpcD9wcHB7Nixo8B53i2/32dB8xg5ciQjR440/qxSqRgxYgQjRowocC4fffQRH330kcm2jh07cuqUaUbt+8mEKplAhBDiPtwdBCIlYYQoW7/9Zogi7tixXpEBCxqNmv79WhqOW7ZLMvUUIj7ekAnEowwygVSt6kqtWlXR6xW2bj1R6v0/rG7eSqVHr0/p1v0TJk5eRvi2Exw5HA1Ao0bVynTsPyZ+gPaEBu0NDQ1bdMe2miHwJut6RqmOE1z7cXL/qnRqNSE1W5Rq/yZjVX8cXxdDdp99sXNx9HI32Z+Vnsa3/Z5iercnWP7xR5zavMmYCcS/UckCwPyq//uhho170WV7fGoaMmpcO3UStZnaGPiRGZde5LHuVUL+/d6/TonmWVK55XsAAmsV/rvSZelIiTLUHHV/3AcLZ9NMHjqtlh8GDeTLJzrx+wfvcXzdP0Qf2A9AQKPGxvI9AHUbdS2lM3g0LF++nMGDB1OnTh3CwsKYP38+ly5dIiIiwqTd1atXGT58OEuWLMHc3PQDidu3bzNv3jymTZtGx44dadCgAYsXL+b48eNs2rQJgMjISNatW8ePP/5I8+bNad68OXPnzmXNmjWFZh6pCIJqeANw7lxcOc9ECHGvtmwxlIJp2ya02KVg7la7VlXatwtFURTCt18u7elVSKdPXyU1NRN7e2tCgkt2x2qu5s0NNd/D72RxyXWugEwg8O/6Ine9IURZ+XP5XrKztdSo7sXAF9oYr0eNRs2USc/h6elU6PHduxsCxyWDpRBCiILo9XquXbvGRx99hKOjIz17Fpw5VoiHxSOVCeSzzz7jgw8+4K233jKmzC2oLvXUqVMZPXo0YIgw2rZtm8n+/v37s3Tp0jKdrxCi4pMgECEejOvXk9h85w3jZ+8EdxSlW9eGzJ27kStXEtmzJ2/9amGQm/K2LMrBAHRoV5fIyCts236Kp55qXiZjPGx2744iKckQBLB+/RHWrz8CgL29NUFB3mU6dqpi+PBen2yOs4sPt91vwenbZN/ILNVxLC2swMoaMjOwcvVGrS672HKnTF+SVTdJSDmF4pZ3+XLx0CGSrxuyd0Ru2Uzkls0AaMzN8a1bskwUNUPbcmj1dwD4hxSecQjAt3599i79hfN796IoCpbu1gBkJRQddBMQ3JSrhzYCUKdB5xLNs6S8/Gpz4XIUCtC4eZ9C26aeTULRKpg7W2Ljlzc7ybVTp7gRYwhqOrNjO2d2bDfu82/YCMdTftxOvolOpaZ2nTaleh6Pmty6tC4uLsZter2egQMHMnr0aOrUyRv8ExERQU5ODp07/3tN+Pj4EBoayu7du+nSpQt79uzB0dGRxx57zNimWbNmODo6snv3bkJCQvL0m5WVRVZWlvHn5GTDc39OTk6Z1estC4GBhiCwM2euPlLzLku5j4M8HuJRoNXq2LbdcGdbmza17vm6fWlIe7ZtP8WFC0lERJyjUaOSZ7eoTPbtN6yFGjYIRK/XodfrStxHm9a1mb9gK3v3niEx8TYODjbk5Gi5eDEBAH8/1zy/T9c75WCuX78lz1GlTJ77/5WZmc2ff+4FYMCAx2nfLpShL7Xn+vUk9HoFb2/nIh+nFs2D0GjUXLhwnQsXYvH1dXsQUxf3SK5/UZk9qOtf/r7yunTpEoGBgVStWpUFCxZgZvZIfbwuKqlH5io9cOAAP/zwA/Xqmb6RGxsba/LzP//8w0svvcRTTz1lsn3YsGFMmjTJ+LO1tXXZTVYIUWmYBIFkZZfjTISo2P74cw86nZ6GDQIJCalS9AGAjY0lvXo1ZfGS7Sz7fQ9dOnuW8SwfTbk1usuiHAxA69a1+XbWPxw+Ek1ycgYODhX/NVhu6ZdOHevh6upA+LYTxMUl0bFD3TINlgBIVmIBBSVdRVJsLJZuht9rzq0s9Fo9arPSG989oB6Jp/dRp2nZ3f2g1+pJPWP4IP1swnqaPvNcnja5pV+CWrXC3T+Q09vCuXnlMsGtHsfcyipP+8J4e1dHb2WLkpXOYy2fKbJ9YOMmmFtZkRx/nbgzZ/CsZvgQSpuagzY9BzOb/NNOA4TW68D23z8HtYZ6YZ1KNM+SavhYL87tWoHGwQU3d78C2yl6heTThkAih1rO+Qbc5z7e/g0b4luvPlHbw0m4cIGAho2wc3EhrGkPtp07goNviLE8T2WkKArvvPMOrVq1IjT033IFX3zxBWZmZgWmBI2Li8PCwgJnZ9NyQp6ensTFxRnbeHh45DnWw8PD2Oa/PvvsMyZOnJhn+4YNG7CxsSn2eZW3mzeTADh67Dxr164t38k8ZDZu3FjeUxCiSBeik0hJycDWxpyrV04Rey3ynvsKrePG0WPx/DhvLdevSxBIYTZsMATeWFqm39dzp7u7DQkJ6Xw3axlh9TyIj09Hp9Njaanh4MFdeV433LhheM/26LEo1q4teeCJKJo898Ohw9e5nZyOo6Ml6WkXWbv2ksn+w4eL14+vrz0xMbeZ++NKmj12bxlzxIMl17+ozMr6+k9PLzq7aWUTEBBwX2U5HlXFKcEiHl6PxLtyqampDBgwgLlz5zJlyhSTfV5epukG//rrL9q1a0e1aqaptm1sbPK0FUKI+6HT6dFq/30jI0sygQhRJo4fv8jSO6Vgnu3fqkTHPv1Uc35dupMjR2MIq5f3jnYBCWWcCaRqVVcCAz2Ijo5nz94ounSuXybjPCwURSHioCEIpEePJjRuVJ03h3clPv628W7IsvTKuKX8GP0iSdFXOLNzO/V79SFHpcVcMSP7RiZWXqX3Ye8LL39NQsJlvL2rl1qf/5UWnYw+S4fGRkPn4eNw9/TP0ya39Evdzk9Qq1172r7yKik3bmDjeG+BTa+NX01OdjrOLkW/+WtuaUm1x5oRtS2cMzu24x0SgrmzJTm3sshKyMTMv+AgEDs7J175+G9UajXmFiULVikp/4B6vPTxaqysC38ezLiaijYlB7WFGrvq+T9+uY93rXYdaNS7D21eGkrKjQSs7A3PIU2a9cE/oD6OLmWb9eZhN3z4cI4dO8bOnTuN2yIiIvj66685dOhQgRktC6Ioiskx+R3/3zZ3e//993nnnXeMPycnJ+Pr60vnzp1xcCib5/+ykJiYwu9/RJGUlEX79h2xsrIo7ymVu5ycHDZu3EinTp3ylBcS4mHz+RcrAejUqT7duz95X335+l1k+Js/cf7Cbdq27YCNjWUpzLDiSc/IYtoMw//dgwf1okoVlyKOKNitJHt+mLuJ6/HQrVs3Nmw8ChwnJKQqTz6Z9/dpZX2CreGXMDe3o1u3bvc8rshLnvsNdDo9i5d8A8DgQR3o3v2xIo4omFbrzrQZa7ger5fr9SEn17+ozB7U9Z+bOVII8Wh7JIJA3njjDZ588kk6duyYJwjkbtevX+fvv/9m4cKFefYtWbKExYsX4+npSdeuXfn444+xty/4jfiKki5XmJJ0caI0ZWaaZv5ITct4qK8tuf7Fo+jmzVTGffQLOp2etm3q0LRp9RJdw87ONrRvF8rGTcc4cjRerv985NbodnG2LbPHp1XLmkRHxxO+7QTt2+Utf1CRXLyUwI3EFCzMzagZ4m18TF1cbFEUPTk5+jIdX63S0OCJXmyd/R1R27cT+mQP0s0ycMyxJz0uFY1rab5JoMLNza/MrhtFUbh96iYAtsFOOLjkTeWcdvMmCRcuAOATWte439rJCYV7+z/P0tIWS8vi/z1Ub96cqG3hRO3YTotBg7FwNQSBZFxPxcKn8OAOG1tDtocH8dxk7+BR5FhJJxMN86rugE7RocsxvWs3JzOTqydPAFC1XpixLytHJ5O+nV2rFjnWg1BeqXLffPNNVq1axfbt26latapx+44dO4iPj8fP799sLDqdjlGjRvHVV18RExODl5cX2dnZ3Lp1yyQbSHx8PC1atAAMN0Jcv1MC6W4JCQl4euaf9crS0hJLy7wfkJqbmz9Sb557ejrj5GRLUlIal6/conatqkUfVEk8ar9LUTkdORoDQNu2ofd9vYbW8cPFxYqbNzPZvfsMXbs2LIUZVjwnD15Aq9Xh7e2Mv79HiYMQ79alcwN+mLuJI0diSLqdQUyMoRRMUA3vfH+fPt6GgJMbCcny/FRGKvtz/46dx7l67SYODtb07NH0vh6Ldu3qMv2rvzl9+iqJiWl4eTmV3kRFmajs17+o3Mr6+r+fvitjtgwhylNhf3MPfRDI0qVLOXToEAcOHCiy7cKFC7G3t6dv374m2wcMGEBgYCBeXl6cOHGC999/n6NHjxaaMqmipMsV+ZN0caI0ZGRoTX7esWM3Vy6fLKfZFJ9c/+JRodcr/LYskhs3UnBxsaJ+fWv++eefEvfj5GQI6rwQncSGDRvu643Pikar1ZOUlAbAkSP7OHOmbBaQKlUqALt3n2bVqjWYlWJJkofNoUOGUgze3jZs3lw+z7fZOYb/ny4dPcI/q1bhbeaDY449l07EcPHinnKZ072wybGiRoofevTsidmH7lLeAJqk04b05lbuHoTv3v2gpwiANiMDVCoSLpxn5S+/4Gnthy9exEZdY1fs/nKZ072w1JkTcjsQBYUD1w6Rc12bp01qTDS6nBzM7O3Zc+wYquPHy2GmJfegUuUqisLw4cNZsWIF4eHhBAYGmrQbOHAgHTt2NNnWpUsXBg4cyP/93/8B0KhRI8zNzdm4cSP9+vUDDCVQT5w4wdSpUwFo3rw5t2/fZv/+/TRt2hSAffv2cfv2bWOgSEWlUqkIquHNgYPnOHcuVoJAhHiEpKZmEhtrKDlWs5jlHQujUqmoU9uNHTuvsG7DEQkCKcCBg+cAaNK4xn2vg7y9nalb14/jxy+xefMxzp0zvO6tXj3/zMu55SYTbiSj1+vLvCyiqFwUReGXX3YA8FTfZlhb3192MBcXe+rV8+fo0Ri27zhFv2cq9msqIYQobbmBI+np6VhbV/xS0EI8LHLfk8oveOuhDgK5fPkyb731Fhs2bMCqGPW8f/rpJwYMGJCn7bBhw4zfh4aGEhQUROPGjTl06BANG+a/SKwo6XKFKUkXJ0rTjRvJzPw2wvhzWL0GtGpVsxxnVDi5/sWjZs73G7h0OQVrawtmTB9KgL/7PfWTlZXDX6s+JyUlm+Dg/2fvvMPbKs/3/9H23ntneGXvQSAJZAAhhB0om1LaX0tpKaMUKG3pXpRZ+i2zLStsCCMhe287zvJ2vPde2tL5/XEkOcY7lizJOZ/r8kWwjs559Fo6Oud97+e+Z5OaKuX72hEn4o+iVim54YZ1LhPICILApk2VNDZ1EBmZxuLFaS45jidw8NAGAFatmseaNcvcVsebO7bReLaEZF8fWk16AMJUIUxdM9ttNY2U5n116Dq7CJgUzOWLr+h3m815Z6gCpi1bxmVutG3W7t9LRc5x4lVKZl26gPovKwgU/LnyiiuRyb1DeNZ6tJHu9nZ8EwJYtXx1v9vsfvUVyoD0xRf1a/vuaYy1Ve7DDz/MRx99xOeff05gYCB1deLiWHBwML6+voSHhxMeHt7ruSqVipiYGNLT0x3b3nvvvTz88MOEh4cTFhbGI488wvTp0x0CkszMTK644gruu+8+/v3vfwPw/e9/n7Vr1zr2M56ZPDnGIQKRkJDwHs6eFR2MoqKCCQpyTnPVlMxw9u6rIiurRLzOjJDm677N0aN2EYhz4vtWr5zJqVMVbN12ksZG8ftvIBFIREQgMpkMk8lCW7uWsFApnlPCeeScKCM3rwq1WskNNyx2yj6XL5vKiRNl7Np9WhKBSEhISIwQhUJBSEgIDQ0NAPj5+UmNeBISLkQQBLRaLQ0NDYSEhKBQKPps49EikKysLBoaGpg7d67jdxaLhT179vDSSy9hMBgcL2rv3r0UFBTw/vvvD7nfOXPmoFKpKCoqGlAEMl7sciX6R/o7SjgDq7X3RYzJbPWK95X0/pfwBvbuy+O9DfsBePKJG0idfP7CDZVKxaxZKRw5UkxWdilTpiQ7q0yvp7VVVApHRAahVo+uc2ooLrkkk08+Pcz+gwUsXTo+I2EsFivHc8oAWDA/za3n2vRLltJ4toSzhw7is3AJyMCitSAzgtLf878DzFoTunLRQSZkasSAY1lxPBuAifNHZ/88WjKWLaMi5zglB/az+Du3IlPJEUxWhC4r6vChxezuxmq0oC3pBCBkavjA453jGeM9UsbKKvf1118HYPny5b0ef/PNN7n77ruHvb9nn30WpVLJ+vXr0el0rFixgv/85z+9bujfeecdfvKTn7B6tSjYWbduHS+99NLoXoiXMNm22Fhk60CXkJDwDopLROHWpIn9x1adDyEhPkyflsSp0xVs3XqCW79zidP2PR5obu7k7Nl6ZDIZc+c6RwRy6WXTee6Fr8jLq3L8buIAf1OlUkF4WABNzZ00NrRLIhAJp/LVV2JT1pVXzHbae2vp0ik8/8JXnDhRTktLJ2FhA0fJS0hISEj0JSZGvFezC0EkJCRcT0hIiOOz9208WgSyYsUKTn3LYviee+4hIyODxx57rNck2Ouvv87cuXOZOXPmkPs9c+YMJpOJ2NhYp9csISFx4WA09s5/Nxjcm3svITGeePM/OwC4ef0SLrt0+qj3t3D+ZI4cKebw4SLuuH35qPc3XmhobAcgKsr1XZNLl07hk08Ps29fHpZHrCgU488Ouri4ls5OHX5+GjIyRm9zPhrSLlnKvv++Sdmxo6TOnY8qRIOp1YChUecVIpDOwjYQQBPli2YAEUVbbS1tNTXIFAqSZs4a0/q+TdrFl7Dl+eeoPHUSXXs7mkhf9DXdGBp1A9bvSXSVtCOYraiC1fjE9t+dre/spK6gAICUOXP73eZCp729fcSukWVlZX1+5+Pjw4svvsiLL7444PPCwsJ4++23R1riuGDyZPE+vqSkDkEQpO4yCbfR2NjOBx8eYP36JZIDxTAoKRGdQAZyjThfVq+awanTFXyzJUcSgXyLY1klAKSlxhIS4u+UfYaFBjBv7iQOHykCIC4uDH+/vk10diKjgmlq7qShsYN0J8QASUiA2PmaZXt/X3rpNKftNzYmlIyMePLzq9m7L59r1s132r4lJCQkLgRkMhmxsbFERUVhMklrJRISrkalUvXrAGLHo0UggYGBTJvW+0LO39+f8PDwXr/v6Ojgww8/5Jlnnumzj5KSEt555x3WrFlDREQEubm5PPzww8yePZslS5a4/DVISEiMX4xGc6//1+uNbqpEQmJ8UVnZRH5+NQqFnDvvcE6cxsKFqbz4z82cPFWBVmvAb5CJygsJu4XzWCxczJ41gYAAH1pbu8nNrWT69PHnyGKfaJ89awJK5cAX4GNBTFoaQVHRdDTU01VRjnrhYkytBvQNOvxTPH+hSlsuulIEpoUMuE1Zttj9F5eZicbfOQsb50twTCzRqanUFxVRdGA/STHzHSIQMkLdWttw6D5nvAdaUC/POY5gtRKWmERQVNRYlich0YuUlEiUSgVdXXrq6tuIjfH8z5jE+OTPf/2MgwcL6OjU8fhj17u7HI+npER075nsZBHI8uVTef7FTRQV1VJyto5JE527f2/m6DExCmbevMlO3e+qVTMdIpCh/p5RkUHk5UFDQ7tTa5C4sKmuaaG+oR2lUsEMJ99XLl82lfz8anbtOi2JQCQkJCTOE4VCMejCtISExNgwLlowN2zYgCAIfOc73+nzmFqtZvv27Vx++eWkp6c7LHO3bdsmnYQkJCRGhdFk6fX/er2kbpWQcAbbtp8EYN7cSYQ6ydY1ISGckGANZrOFrOyzTtnneMAuAomKCnb5sVQqJRctTgdgz95clx/PHWRlie+tuXMnurkSsfsi7RKxG7ajqBB1hOhGYWjUubOsYWHWmjC2GADwSxz4HFCedQzwHFeKtEuWAlC4dw+aSF/AO8bbarKirxfrHHS8baIbTxlviQsXlUpJSnIkAMVSJIyEm8jNq+LgQdEd6ciRYgRBcHNFno0gCBTbRCCTJjtXpBEU5Oe4xvzmmxyn7tvbKbGdI2fMcO4i+bKlU1Crxb7CyUP8PSMjRfFxY6MkApFwHvb7rqlTEvDxcW6s6bJlYnTpsawSOjs9/1peQkJCQkJCQmIgvE4EsmvXLp577rlev/v+97+PVqslOLjvAkZiYiK7d++mubkZg8FAcXExzz//PGFhYWNUsYSExHhFioORkHA+giCwddsJQOwwcxYymYwJE8TrhEOHCp22X2/HPhkbMUYW5ksvmQLAnj25426xxGQyk3OiFBAFTJ5Auk2U0FlSgipUnBw1NusRrJ499rrqbgDUET4ofPo3LhQEgdIsmyhh7rwxq20w7ON99ugR5EHibZap3YjFYBnsaW5HV9sNVgFloApl0MCT6GV20c1cSQQi4X7skTDFxbVurkTiQuU/tuhCgPr6Niorm91YjedTV9eGVmtAqVSQnBTp9P1ffvksALZsPYHVanX6/r2VmpoWAOLjnDsH6u/vwxWXzwZgwfzUQbeNjBTvwRoaOpxag8SFTXa26MA41wX3XclJkUxIicJisfKnv3zC0aPFmM2efT0vISEhISEhIdEfXicCkZCQkPAUjIbecTCSCERCYvSUlNRRVtaIWq10CAacxcSJIQAcOlw47gQI50vDGDqBACxclIZKpaCyqpmysoYxOeZYkZtbhV5vIiTEj4kTo91dDgCJM2ehCQjAotNSX1GAXC1HsAgYW/TuLm1QdFVdAPjFD+xK0VxeTndLM0q1moSpzssBHw1RkyYTHBOD2WCg/MQxlIEqAAxNnt1BqKsWx9s3PmDAKJiulhYaS0WRU/LsOWNWm4TEQNjjB4okEYiEGygoqGbf/nzkchlJiREAHD1a5OaqPBt7FExKcqRLIvMuWpxOYIAPDQ3tnDhZ7vT9eyMdHTo6u8RrvthY58dmPfLwOj775LEhXUbs9xkNkhOIhJMQBMHh7jlntmscGK+4QhQ57dp1hp/+7A3WXfsn/vb3zygorHHJ8SQkJCQkJCQkXIEkApGQkJA4T4zG3iIQKQ5GQmL0bN0mRsEsXpRGQICPU/edlBiESqWgtraVisomp+7bW7HHwUSOkROIv5+GmTNSAMbdBP2xLFs32pxJyOWecYmtUCpJmSfmWFefOeUVESWCVUBXIzqB+Cb4D7hdqc2VImH6DJQazZjUNhQymYxJixYDUHnqJJoo23g3ePB4CwK6KnG8/QYZ7/JscbyjU1PxCwkZi9IkJAZlcqooApHiYCTcwRs2F5CVK2awZo0ojDt8tNidJXk8roqCsaPRqFhsi4Q5dkz6WwDU1oouIGFhAfj6OjcuA0CpVAxLSB5lj4NpkEQgEs6hvLyRlpYu1GolU6cmuuQYt9+2lBeev5drr1lASIgfbW1aPv3sCPd89yV+8MP/Y8vWE5hM5qF3JOE0jDodVrM05hISEhISEiPBM2aoJSQkJLwQgyQCkZBwKoIgsG27KAJZtdJ5UTB21GqFo1NNioQBq9VKU9PYOoEATLJ1b1dUjC8hTpbdkniOa7rRzpfICWI9LZWVDlGC3oNFIIZGHVajFblGgSbCd8DtyrNtUTBzPCuaJGqiaEndXFGBjxeIbkztRsxdJpDL8IkZWARSluWZ4y1x4WKPg6mubkGrNbi5GokLicKiGvbuzUMmk3H3XZc6ojCys89KcQGDYHcCsbv4uAJ7LES2zSHgQqemthVwjQvISIh0OIF0SG6MEk4hyya+nz49CY1G5ZJjyGQy5s2dxM8fvZaNnz3Oc8/ew6qVM1Ao5Jw6VcFvnn6fW259lq4uz3ZYHC+8es9d/G31CupLStxdygXBoQ3v8uKN19FWIznfSEhISHg7kghEQkJC4jzp4wRiMLqpEglPRK83ShPBI+TMmUpqa1vx81Vz0UXpLjnGwgWTAUkEAtDa2o3FYkUulxEWNnDshrNJThJt08srGsfsmK6mu1vP6dOVAMybN9nN1fQmPCkJEEUJDicQD3am0NqiYHzj/JHJ+48msZhMlGdnA5Ayd96Y1TYcwpNFoVlzRXkv5xVPXfSwR8H4xPghV/V/aygIAmePHgE8b7wlLlzCQgMIDw8U359n691djsQFxJtvii4gKy6bTkpKFGlpsQQH+6HVGsjNrXJzdZ6LwwnEhSIQeyzEmdwqdDrp3rymRnQCiY8Lc2sddsdBg8FEZ6fnXoN6Gy/9cxP/+vdx6uvb3F3KmJN1XBR6zZ0zaUyOp1QqWDA/lad/cwuffvxzvnfvCvx81dTWtpKfL533xwK1j+gS21otjfdYkLdzJx319ZQcPuTuUiQkJCQkRokkApGQkJA4T4zG3s4fBskJ5IKnoaGdjz4+yI9/8horVz/N2nV/5A9//Jj9+/MxGKT3x1Bs3XYCgIsvmYKPj/MtiwEWLhC7NY/nlKLXX9iTw/Zc7rCwQJdksw9EcnIkINr4jhd278nFbLaQnBxJfLx7J9q/TZhNBNJSUYE6XJw8M3easOg900pXVz10FMzZI0fQd3XiHxZObEbGWJU2LMKTRBFIW00N8gA5MoUMq9GKqcMzzzfaYUTBVJ85TUd9PSpfX5Jnzxmr0iQkhsTuKFBcXOvmSiQuFErO1rF7Ty4ymYx77r4UALlczjybA8WRo0XuLM9jMRhMVNqiGF0pAomLCyU6OgSz2cLJU+MrdvB8qKnxDCcQjUZFSIgfIN4vS4ye0tJ6Pvr4MB0dRr78Ksvd5YwpVqvV4fbjDgfGiIggvnvPCmbbRGeVVc1jXsOFSFiCGPvTUlXp5kouDHQd4rlaGm8JCQkJ70cSgUhISEicJ3YnEJlM7FSW4mAuXCwWK0/96j2uvf4v/OPZL8jOPovVKtDRoeOrr7N49LH/cdXaP7B7T667S/VYLBYrO3aeBmDVihkuO05yciTRUcEYjWayj5e67DjeQGOjGAUTacvpHivsIpDa2tZxI47ats0eYzTD8Z3gKYTGx4NMhqG7C313O6pgUWBlaPI862Kz1oyxWazLL35gd5rc7VsBmHLZZcgVYydgGg4B4eFo/P0RTD2g3QABAABJREFUrFbaaqsdwhujB4631WRFX6cFwHfQ8d4GQPrFl6CydeFJSHgCEyZEA1A2jkSFEp7N/v35ACy5KN3x/gOYP190ATt6rNgtdXk6ZWUNWK0CwcF+RIQHuuw4MpmMuXPFhVkpEsZznEAAIiN7ImEkRs//3t7tcJnbtv2UxzrOuYKSkno6OnT4+qrJzExwWx0JieEAVFZKIpCxIDQhHoDWSskJZCzQtdtFINJ4S0hISHg7kghEQkJC4jyxi0ACA8UFEYNxfCxmSoycvfty2b7jFDKZjBnTk3ngx2v4YMPD/PPF73HTjYuJigpGqzPy4ktfX1ATNCPheE4pzc2dBAb6smCB6+I0ZDIZCxemAdJEfaOtEy9qjEUgoaEBBAb4IAgCVeOgc6q1tcvxXlq5Yqabq+mLUq1BHSxOvDdXlKMO1QBgajW4s6x+0dWI0STqcB8Uvsp+tzHp9RTs2wvAlBUrx6y24SKTyRxuIM3l5ajDxPE2euB46+u6wSqgDFA5xEHfxmqxkLtDjD6YsmLVWJYnITEkKSmiqFASgUiMFWdyxY5Yewe4HbsIJDe3iq4uzxP9uZtzo2BcLZada/vbZGWVuPQ43kBtrc0JJM69TiAAUTYRSKMkAnFgtVp59929fPHlMaxW67CfV1XVzNatooOmQiGjpqaV02cunG79bFsUzMwZKWPqZvltEhNEEUhVVZPbariQcDiBSHEwLsdqsaDvEu/LWyUnEAkJCQmvRxKBSEhISJwndhFIUJBobSo5gVy4bNiwH4A7bl/G//3rB3znlotJSAhn9uyJ/OzBq3nvnZ/h46OipqaFvPxqN1frmWzefByAS5dPQ6Xqf/HXWcybJ1p2Zx27sCeHG5vc4wQik8lIGkeRMDt3ncZisZKeFkdSUoS7y+kXTZg4SdlUXo7KJgIxtnmeKEFniybxjR84mqTowH5MOh3BsbHET502VqWNiPBkUQTSVFGOOsRzRSDac8Z7oEW58uPH6W5pxicwkIkLFoxleRISQ5KSHAWILgMSEq5GEARyc8XFpynf6j6PjQklMSEci8VKluRA0Qe7CGSyC6Ng7MyxxUPkF1Rf0IIcq9VKbZ0oAomLdb8TSFSUeL/R2CjFwdj5z3938tLLm/jTnz/h/gdeo6p6eOL4t97ejdUqsHBhKhnp4t9269YcF1bqWdgFXnbXH3eRYBeBDPPvJjE6Qm0iEEmU4Hr0XV1ga15rranBarG4uSIJCQkJidEgiUAkJCQkzpMeJxBfAAySCOSC5MyZSk6eKkepVHDjDYv63cbXV83FSzIB2LrtxFiW5xV0denZvuMUAFddNdflx7NPDheX1NHa2uXy43kqDQ12EUjwmB/bHglTXuH9IpBt2+1RMJ7nAmJHHSZOEJ/rBOJpogTBKqCrEUUJfglDR5NMvWylx0Xv2DnXCUQVKrqFmTxMdCMIArpq8fznO+h4i9E7GcsvRaFSjUltEhLDxe4E0tDQTrfWsz5jEuOPxsYOmps7USjkpKfH9Xl8wYJUAI4eLRrr0jyesyX1gOgE4mqio0NISAjHahU4caLM5cfzVJqaOjGZLCgU8jEXfPeHIw6mQRKBABw5WsTrb4hOa2q1khMnyrjzrhf4+OODmM0DL7jW1bXx9aZsAO68YxlTpogC9G3bTw36vPGC2WzheI4Y6Wq/p3cXiQni2FdXt2CxDN/JReL8CEsQxZfdra0YurvdXM34Rt/R49hkNZvpqK93YzUSEhISEqNFEoFISEhInCffFoHoDZII5EJkwwf7AFi9aiYREQNPsK1aJS4Qb99+Spok+Bbbtp3AYDAxISWKaVMTXX68sNAAxyT0hZwX3tgkTsK6Y2I4OckuAvFu+9yGhnZOnCgH4LLLpru5moGxO4E0V1SgDukRJQhWz4mnMjTpsBosyNVyNJG+/W6j7+qi+NBBAKas9LwoGDt2J5DmygrUIWLMirnLhNXoOZPz5g4j5k4TyME3tn/nFYvJRP7uXQBM9cDoHQmJoCA/wsJEEdN4cJaS8GzsUTATJ0bj49M3QsseCXP06IUdN9gfxSW1wNiIQADm2haHL2RXlpraFkAUxbgzMsNOVJRNBCLFwdDQ0M5vnn4fQRC4+up5vPv2g8yZPQG93sQzz37B0uVPsXT5U6y+4rdcd8Nfee75L6mrawPg7Xd2Y7FYmTt3ItOmJpKSHExIiD9tbd0XxLmnsKiW7m4DAQE+pKX2FeONJVFRwahUCkwmiyRuGgM0/v74h4rRVi1VUiSMK9F19H4/t0juKxISEhJejSQCkZCQkDhPHHEwdhGI3ujOciTcQG1dK7t2nQHg5vVLBt124YJUAgN8aGrq4OTJsjGoznvY+OUxANaunTdmnf3S5DA02pxAotzgBJJkE4FUePmi3bbtJxEEgZkzkomJCXF3OQOiOccJRBmoQqaQIVgEzF2eI160u4D4xPkjk/d/HijYsxuL0UhEcgpRkyaPZXkjIjwxCRCdQOQaBQpfMeLK2OY51wmO8Y7yQ67q/5aw5Mhh9J2dBIRHkDRr9liWJyExbFLszlJSJIyEixkoCsbOnNkTUSjkVFY1O2I4JKClpZPW1m5kMhkTJ0SNyTHnOK7zL9zox5oa8T0YH+f+KBiASFuzRENDm3sLcTNms4Vf/uo92tq0pKXF8dCDVxMXF8YLz9/LQz+7Gj8/jWO7ri499fVtfPDhAW66+e/8+jcb+PKrLADuvutSAORyGZdeOhWAb7aOf8dRu7vPrJkpKBTuXdJQKOTE2T5fVVVSJMxYIEXCjA3a9m+JQKol0Y2EhISENyOJQCQkJCTOE4cIJMguAvGcxTSJseGjjw5isViZN3cSqamxg26rVitZtkycoNm67eRYlOcVFBbVkJ9fjVKp4IrLZ43ZcefNnQT0ZApfaAiCQGOTPQ7GDU4gyaJ9bnlFI4LgOW4UI8UeBbPSg6NgoMcJpL2uDrPRgCrE8yJhDI06AHyi/Qbcxh4FM2XlKo+NggEIjY9HplBg1Grpam5yRPCY2vRurqwHQ6NYi0/M0OOdedllyBXu7yKWkOiP5GRxUbnMy0WFw0WvN/LV11mUlkrW3GNNXp646DRlSv+udQEBPkyZIgpEso5dmNeX/VFcUgdAYkJ4vw4qrsAu9i4urqO9XTsmx/Q0ampEJ5DY2FA3VyKSmChe+1dWNmO4gBxUzWYLBYU17N59hg3v7+PxJ97h9OkKAgJ8+MPvbkWjEaP25HI5N96wmM1f/5LNX/+Szz55jPfe/Rl/+8udzJs7CYvFytZtJzEazcyYnsyc2T1RKKtWzgBg795cdDrPERy7gvx8cTF66tQkN1cikpgg3mNVVnm3u6W3YI+EkZwpXMu5cTAArZWSCERCQkLCm5FEIBISEhLnicEoTl4EBYkLKEajGatVivm4UOju1rPxi6MA3HLLxcN6zirbQvHOXacviMze4fClzQVk6SWZhIYGjNlxZ82agFwuo7Kqmfr6tjE7rqfQ1aV3TBK6QwSSEB+OQiFHpzPS6KW20JWVTeTnV6NQyLn00mnuLmdQFL6++AQFgSDQUlXpECUYWz1DlCAIQo8oYYAomO7WVkqzxPOFp0eTKNVqQmNFi+rm8nJUoZ4ruhkoesek11O4by/g+eMtcWGTkiI6gZSVj28nEIvFypdfHmP9Lf/gD3/8mHvve5n9+/PdXdYFg8ViJT+/GsAh9OiPGdPFOLDcPGnBxE5JiShYmjgpesyOGRYWyISUKARB4HjOhen6Z3cCifMQJ5Do6GDCwgKwWKwUFtW6uxyXYzKZ+fSzw9y0/u/c892XePzJd3jhxa/Zf0A8bz/1y5uIj+/7t1EqFQQF+REVFUxyUiRLlmTwwvP38sZr97PisunExoby4/uv7CWGnpKZQHx8GDqdkb17c8fsNboD+3k4IyPezZWIJCTYxE2SE8iYEOoQgUjfsa5E9y0RiCS6kZCQkPBuJBGIhISExHnybSeQc38nMf758qssursNJCdHsmhh6rCeM2fORMLCAmhv114Qmb1DYTCY+OabHACuvnr+mB47IMCHzAxbt+Y4jYRpbGyntrZ/O3K78CIw0HfMujLPRalUOCY+y720e9vuAjJ37iTCxlDAdD7IZLJeESVqmxOIyUNECeZOE1aDBZlChjrMp99t8nbtQLBYiEnPICyx/y5sTyI8WVwIbKooP0d04xnjbTFYMHWIIjBNRP/jXbR/HyadjuDYWOKmTB3L8iQkRkSKzQmkvMw7v0uGw7GsEu6650X++OdPaGrqQK1WotebeOzxt/js8yPuLu+CoKy8Aa3OiK+v2vGe6w/7tWWeJAJxUGRb8J80MWZMjzt3ruiUkD1Or/OHorZWdAKJi/MMJxCZTOaIUsrNHb8Limazhc8+P8L6W/7B3/7+OfUN7QQG+DB1SiIrVkzn9tuW8sLz93LJxZkj2m9GRjy/++13+PjDR5k2rbcLhkwmY/Uqsdlky7bxGwnT1aV3iC0y0j1FBCLez1ZLIpAxIcwRByN9x7oSbYcYBxOeJJ5rWqU4GAkJCQmvRhKBSEhISJwnRoMo+AgM7BGBSJEwFw6ffnYYgJvXL0EuH97XqUIh5zKbY4AUCQO7d5+hs0tPTEwI8+dNGvPj2yeHj41Dy+7Gpg6+c9tz3HDT37jr7hd5483tlJTUYTCYMBhMDnFIVFSw22pMTha7t8srvHPhbtfuMwCsXDHDzZUMjzDbJE5TxTnOFG2eIUqwu1Kow3yQKfqPeSnYvRvwHleK8CRRBNJLdONh460MUqPwUfa7Tf4e23hfttKjo3ckJOxOINU1LZhM40+MXVvbykMP/4ezZ+sJDPTlgR+v4esvn+SqNXOxWgX++rfPeP2N7V4dreYN5OWKCyAZ6fEoFANf92faXEKKbddcEnDyVDkAUweI0XEVc2yRMFlZF6YIpNrDnEAAMjPHv0jq9Te289e/fUZ9fRsR4YH87MG1bPz8cV595Yf87unv8KMfXuGIJXUmq2wikMOHi+jq8gynP2dTUCi6gMTGhhIcPHCc4ViSKDmBjClSHMzYYI+DsTcCtNbUYDWPv2tsCQkJiQuF/mf9JCQkJCSGxO764aNRoVYrMRrNkgjkAqGjQ0tFhZj7uuKy6SN67qqVM/no40Ps2ZuLwWBy5ABfiGy0RcFctWbusIU0zmTe3En8763dZGWXIAjCuFro/Pjjg2i14oJzUXEtRcW1vPb69j7bRUaMfRSMneSkSPaS55VOIBaLlbIyMXpgzuwJbq5meISd6wRiE4GY2o0IFiuyQRa0xoKhokkAGkvFRZyk2bPHpKbRYncCaa4oR2UTgVh0Fix684DCi7HCPt4DRe8ANJ71rvGWuHCJiAjCz0+DVmugsrKZiRPHLnJiLNi67SRms4UpmQn845l7HA6ETzx+PdHRwbzx5g7+99Yeli9L5Kqr3FzsOOaMzblgyhBChpjoEEJC/Glr66aoqLZPx/6FRmNTBzU1LcjlMqZPH9uxmD1rIjKZjNKyBhoa2t0qfB5rDAYTTU22RbxYz3ACgZ7Pz3iOS9qx4xQAd96xnHvuvnTM7vVTkqMICwugpaWL6poW0tPixuS4Y4k9CiY93XNeW0JiOAA1NS1YLNZBRYISo8ceB6Nta8PQ1eXmasYvunbRCSR60mRy1WosRiPtDfWExnmGA4+EhISExMiQrk4kJCQkzhO7CEStUTlu7vUGoztLkhgjCgtrAIiPD+vlBDMcpk1LIiYmBK3WwIGDBa4ozyuoqmomO/ssMpmMq9bMdUsN06cno1YraWzsoKKyyS01uAKdzsinn4n28E/84nqefOIGLl6SgVrde+FZLpex5KJ0d5QInOME4oUikIbGdkwmC0qlgujoEHeXMyzsdq7NFeUo/JTI1XIQRCGIu9E7RCD9R5MYtN10t4i25mHxCWNW12iIcDiBVCBXyVEGitcJnhAJYxhivAWrldYacaLdG6J3JC5sZDIZE1LEeA67OG88sd0WPbZu3fxeEZQymYzv3buS//eDywHIzZO6kF2JfdF6ypTBv4NkMpljm7z88bvQPVxOnCgDYPLkWPz9+//OcRXBwX7MmCF+F2/afHxMj+1uautEFxA/P43HOCYAZGaIC4hVVc10dGjdXI3zaWrqoLKqGZlMxu23LR3zZg+7uL/JFvs53sgvEK9NM9I9514gKjIYlUqByWShoaHd3eWMezR+/viHie5G9nsVCeej6xTPIX4hIQ7hhxTBIyEhIeG9SCIQCQkJifPEIQJRK/HxEW/wDZITyAVBgU0Ecj4dNjKZzBEfsWlTtlPr8iY+/uQQAAsXpBITE+KWGjQalaNDMytr/ETCfL0pm85OHfHxYVx55RyuWjOXv/7lTrZ+8yu2bvm142f71t9www2L3VZncpIoAvFGAU5VpbjYFhcX6jUdX2E2UUJLZSUIgsOdwt2RMFazFWOzaFs9kBOIfdLJLzgEn8DAMattNNjjdzoa6jHqdI5IGHeLQARBGNJ5paOxAYvRiFyhIDhqfLkqSIxPkm2RMGXl40sEUlbWQFFxLUqlguXLpva7zVVr5gDQ0KClvX38Lap6Anq9kbNn6wGYkjn04mNmhrjNeHY7GC52EchMmxhjrLl67TwAvvjyGFar1S01uINaexRMbKhHOR0GBfmRkCA6J4zHz0eO7f2emhpLQMDYip4AIm1uNw2N41OMYHcCycjwHCcQhUJOfLwoSqis8r57Wm8kLEEUqEuiBNehaxdFID5BQedE8EjjLSEhIeGteMestYSEhIQHYjCKgg+1WomP3QlEEoFcEBQUiCKQtPO0Wb3qKtH54sDBAhrH6STNYHR16fnii6MArF9/kVtrsWcyHxsnIhCr1cr7H+wH4Ob1S3oJFFQqJf5+GsePu6OIkmwikIaGdrq17ndHGAlV1aIIxD6R7Q2ExMYgVyox6fV0NDY4ImHcLUowNutBAIWvAmVA/+/J1mpx0jc0wXssaP2Cg/ELCQGgpbIClT2Cx83jbeowYjVakSlkqMP6X6CwT6qGxMYhV0rpoSPhmWeeYf78+QQGBhIVFcW1115LQUGP65fJZOKxxx5j+vTp+Pv7ExcXx5133klNTU2v/RgMBh544AEiIiLw9/dn3bp1VH1r8rW1tZU77riD4OBggoODueOOO2hraxuLl+lxpCTbnUC8z1lqMLbZXEAWLkglKKj/bv7w8ECHs5Z9wV3CuRQU1GCxWIkIDxxWpEimTSiSNw4XuUeKQwQyM8Utx790+TT8/TXU1LSQfbzULTW4g5oa0T0tNs5zomDsTBnHn4+cHPE9NstN73e7E0jjOHQC6ejQUV0tvq8z0j3rfiAhIQKAykrJkWssCI23OVNUj79ziKeg6xDnKP2Cgx2im5aqSneWJCEhISExCiQRiISEhMR5YjJZAFCrlPj4qAHQGyQRyIWAPQ7mfEUgyUmRzJyZgtUq8PWmC8ueGGDjF0fR6oxMSIli4YJUt9Yy1yYCyc4+Oy46BPcfKKCqqpnAAB/WXDnH3eUMSlCQL2FhAQBUVnhX51RVlTjJl2ib9PMG5AqlYxKnubzcIQJxtyjB0GRzpYjwHbBb1d55ZK/fWwhPtkXCVPSMt7udV+wuIOpwH2TyAcbbNqlqz92WGD779+/n/vvv59ChQ2zduhWz2czq1avp7u4GQKvVkp2dzVNPPUV2djaffPIJhYWFrFu3rtd+HnzwQT799FM2bNjAvn376OrqYu3atVgsFsc2t956Kzk5OWzevJnNmzeTk5PDHXfcMaav11NI8eJ4sYEQBIFt20QRyMqVMwbdds7sCQBk51w4i9xjid2xIHNKwrBcFeyRFxUVTXR16V1amyfT2amjxOag4q5FcV9fNatXzQRwCNAvBGpqbU4gcWFurqQvdpFUbu74W8C1O4HMmpXiluNHRo5fEUhhoSgIj4sLG1AU6S4S4sWmAHuTgIRrcTiBVEtxMK5C1yGeQ3yDgh33g5LzioSEhIT34lUikD/96U/IZDIefPBBx+/uvvtuZDJZr59Fixb1et5wOqkkJCQkRsq5cTAaexyMJAIZ93R36x3xFecrAoEee+Ivv7qw7InNZgsffngAgFtuudjtFsWZGfH4+Wno6NBRVFzn1lqcwYYN+wC45poF+Plp3FzN0CQliSKK8grvWrhzOIHEe97k+mCE2yJKmivKHc4U7nYCMTTYRCBR/UeTQE+nV2i8d4kSwhPF8W4qr+jlvCIIgttqGioKBqC1SpxUDZNEICPmk08+4e6772bq1KnMnDmTN998k4qKCrKysgAIDg5m69atrF+/nvT0dBYtWsSLL75IVlYWFRUVALS3t/P666/zzDPPsHLlSmbPns3bb7/NqVOn2LZtGwB5eXls3ryZ1157jcWLF7N48WJeffVVvvzyy17OIxcKKSmiE0h5RSMWy/i4piosqqWisgm1WsnFF2cOuu3sWaII5Hi2JAJxBbm5Yvfr1CnDEyKGhgYQGys6MOTnX7jzTidPlSMIAokJ4YSFuS/K7eq18wHYvSeXjo4LIzLJ7gQSF+uBTiC2z1FefpVbr4ecTXu71hEbNXNGiltqiBrHcTB59iiYdM+JgrGTmGgTgUhOIGNCWKIUB+NKLCYTRq34XSnFwUhISEiMD7zG3/fo0aO88sorzJjRtwvmiiuu4M0333T8v1qt7vX4gw8+yBdffMGGDRsIDw/n4YcfZu3atWRlZaFQKFxeu4SExPjEaBN8qDVKNBrxdCrFwYx/ioprAXGSJSw04Lz3c+nyaTz73BdUV7dwPKeUuXMmOatEj2bX7jPUN7QTEuLv6MxzJ0qlgpkzkjl4qJCcnFLSRyHscTf5+dUczylFoZBz4w2L3V3OsEhOiiQnp8zrurftk3zxXhQHAxCeJDpTNJWXo14rihLMXSasJityleu14W0nm1D4KglMDXH8ztAkdklrIgYWJdjtZ73NmeJcJxBVkAZkIJisWLrNA0bfOJOOPHERKCizR6xkaBTH22cQEYhjvL1MdOOJtLeLCzFhYQMLxtrb25HJZITY4oOysrIwmUysXr3asU1cXBzTpk3jwIEDXH755Rw8eJDg4GAWLlzo2GbRokUEBwdz4MAB0tPT+xzHYDBgMPSIvjpsXX4mkwmTybuvXyMiAlCrlBiNZqqqGj2y+32kfPON6BS3eHEaapV80L/R1Gmi80RZeSP19a0Oly0J53DGJgJJS40d9mclIz2O2tpWTp+pYObMZFeW57Hk5JwFYPr0JJedY+z7HWz/EydGMnlyDMXFdXy9KYsbrl804LbjhWqbCCQ6Ktjjzu8TUiJQKOS0tHRRXd1EdHSIu0tyCtnZYrRocnIkAQGaMRn3b7//Q0NFh4zGhnaP+7uPFnt8UOoIzsNjRWxMCACVlU0eV9t4JDAmBhCbBMIY/PwvMXK6W8TvD2QyFBoNgTGxALTVVGPQ65ArvGYpcVwznOsfZx5HQkLCu/GKM3dXVxe33XYbr776Kr///e/7PK7RaIixXQR8G3sn1VtvvcXKlSsBePvtt0lMTGTbtm1cfvnl/T5vPE+SXciM1ZekxIWBweYEIpeJbiAA2m6dR76/Ghrb2bBhPyZTMytXGt1djleTZ5sITp0cM6q/tVIpY8WK6WzceIzPPz/CjOlJzirRYxEEgXff2wvAddfORy4fu/PxYOf/6dOTHCKQ669bMCb1uIJ339sDwGWXTiM01M8jz0XfJiFBXKgrLav3inoBrFarI5M6NsbzJte/zbnv/ZAEcaGwqawMq0JA7qPAqrega+pGHeHj2jo6jLRmiWIfma8cTbQvFp0Zc5dYnzxEOeBY2juPgmJGd94da0JsIoqmsjLMVjPKIDXmdiPapm58Nf4uPbbFYKH5kNiRikaGb2IAVrMVY4soApGHDjbe4vdcUKznTbSPFHdOkAmCwEMPPcTFF1/MtGnT+n2eXq/nF7/4BbfeeitBQaKNe11dHWq1mtDQ3h3c0dHR1NXVObaJiorqs7+oqCjHNt/mT3/6E08//XSf32/ZsgU/P8+yVj8fgoNVNDaZ+fjjTUya5Hnd7yNBEAS+3pQDQGiIia+//nrI50RF+tHQqOWNNz9lSqZ3CRQ9me5uE3V1bQBUVJymvj5/WM8ThE4Adu3KIjSk01XleTS7dp8BQBDah/UeHg1bt24d9PEJyRqKi+G993bho2l2uxOhKxEEgQqbw15R0UlaW4vdXFFfIiJ8qK/X8s67X5CRPj7OVzt2lgMQGiJz+fv929jf/03NottbbV3LmNfgao7niO/jtrZKj3tt7e3i2kFVdTNffvkV8gHiFiWcg8UojreuvR2LXj/k+V9iZOibRNdjhUbD5m++QRAEZEolVrOZje9/gNomWpfwDFz9/tdqLwwHNQmJ8Y5XiEDuv/9+rrrqKlauXNmvCGTXrl1ERUUREhLCsmXL+MMf/uCYFBtOJ1V/jPdJsgsd6SJRYrQIguCIg9m7dzetLeKFcvbxE8hk9e4srReCIJCT08CuPRUYjaI99ukz/+TyVSkEBXl+VIQnsnNXie1fXaOegAgJ1tn2eZqpU9T4+HjF1/J5U1XVSX5+NQqFDH+/DrdM4PR3/u/uEifnjx4r5KuvvvLKiWGj0cLOXacBiI21eNzk2EDU17cBcOZMqdfU3NFhwGgyI5fLyM4+SE6Od7xftm7dira2BoCaoiK+/vprJpjjCcSfrL3HaNW4Nj/c3+TLJET73qrtpRQGlxNo8iOFeHQKA5u3bu73eVajke5m0XnlWG4eirPeE3dgaGsFoKminK++/JJkXRwhBHH60EkafVtdemwfs5o0UgCo21NFYXAZGouayUISJpmZLbu2Qj9vXUEQaK4URSAniorJbxof1tbumCD78Y9/zMmTJ9m3b1+/zzGZTNxyyy1YrVZefvnlIY8hCEKv76f+vqu+vc25PP744zz00EOO/+/o6CAxMZHVq1c7BCjezNFj3ezYeZrIqBTWrFni7nJGxenTFXR0HMHPT8OPfngzGs3gzkEmk4ntO8ppaNQCwaxZs2ZsCr0AOHKkGMgmKTGC665bN+znxcWVsWv3m7S2WS7Iv4fBaOIfzx0D4Pbb15IQ75qFfpPJxNatW1m1ahUq1cCfk0su0bF7z99pbNIxcdIsMjPiXVKPJ9DRoeWvfz8CwPr16/DxUQ/xjLEnr8DCxo3H8PWNZs2a1UM/wQv4bOO/Abj66qWsXDF9TI757fd/d7ee1984icFgYfmlK/DzHR/zPe3tWv7yt8MA3HH7tQQGDuxm5w6sVitvvHkao8nM3LkXOeLAJFxHxdv/o7ulBWNbK+vuuHPQ87/EyKg8eYJiIDA83HH9Uv/xhzSVlTIzdTIT5ntv09R4YrjXP6PF3hQvISHh3Xj8atOGDRvIzs7m6NGj/T5+5ZVXctNNN5GcnExpaSlPPfUUl112GVlZWWg0mmF1UvXHeJ8ku1AZqy9JifGP0Wh2TK5ceeXlFJ/dRH5BC5MmpbJmzSVurk6kvKKRv/1tI6dOixnzEyZEUVHRyNmzbfznv7ncd98Krr1mAQqF6yMAxhMffiwu1Fx11TKWXNTXbn0kCILAgQPNFJfUgSyaNWsWDv0kL+ZXv34fgCuumM1NN10zpsce7PxvNJr58KNCtFoz06cvJCkpYkxrcwYHDxZisRwjJiaE795zk9cIWWprW/no4wI62k1cfvkVXnE+yj5eCuQQFxfG2rVXubucITn3vW81GHj+nbcwd3exYtkydHlauvLbyUxMJ2RepEvr6D7bSesBUSSpsapZHD0PmUJG55k2IiZEkrpoar/PaygpIRcxk/jq6693aY3Oxmqx8Ox/38RiMrFk7lzkTRo6TrQwKWYi85dEu/TYuupumneK8WUqQcn80NmoQtW0ZzcTmBDMmmX9L0p2NjZyxmxGJlew7uabUSg9/nZxUNw1QfbAAw+wceNG9uzZQ0I/MUYmk4n169dTWlrKjh07et1fxsTEYDQaaW1t7XUP29DQwEUXXeTYpr6+r+i4sbGR6Oj+31sajQaNpu+CkEqlGhf3RRMmRMPO01RWNnv969m5S3RQWHrJFAIChteAkpwUxLGsOo7nlHn96/ckymxxdZMnx4xoXKdOTUIul9HY2EF7u46IiAtrDun0mSpMJgvh4YGkJEe7/Lp0qPNYWJiK5ZdOY8uWHDZtOs6M6SkurcedNDSK4vbw8EACA13rOna+TJuazMaNxygoqBkX56turYGiIvGaa+6cSWP+muzv/5AQFX5+GrRaA21tOoKDxkc02NnSBgASEsIJC/PMc2l8fBilZQ3U1rWTlNTXqU3CuYQlJtLd0oKhtXXcXMd6CiabsN0vOMQxrmGJiTSVldJeWyuNtYfh6ve/9PeWkBgfePSsXmVlJT/96U/ZsmULPj79W1TffPPNjn9PmzaNefPmkZyczFdffcX1g0wUD9YlBd45SSYIAo2NHURFBbu7FI/Hk/+OEt6BwWBx/Nvf39fRZWEyWT3ivXX4SBG/ePxtDAYTfr5q/t//u5y1V83h3Xc/5fDRNk6dquCFFzeh05m45+7L3F2u12AwmCi3TQZPnZLolL/1unXz+cezX/DVV9msv2mJ1yzej5Tq6hb27ssD4Ds3X+K2z0l/53+VSsXUqYkczynl9JkqJk2KdUtto+HoMdGhZvGidNRqz+v4G4j4+AjUaiVGo5mm5i6XdYo6k9raNgASE8I94nw/XFQqFSo/PwLCI+hqbqK9poag8Di6aMfcYXb9azEKACgDVZg7TXTlt6PwF29FfKP9Bzx+Z504qR4Wn+BV4w2ASkVYYiKNZ8/SXlNNbOw0OmjB3G50+WvR25LflAEqzN0mtKWdKBvFYw463vWiSD4kNgYfX8/qtBwNYzVBJggCP/7xj/n000/ZtWsXEyZM6LOtXQBSVFTEzp07CQ/vfd6bO3cuKpWKrVu3sn79egBqa2s5ffo0f/3rXwFYvHgx7e3tHDlyhAULxI68w4cP097e7hCKXGikJItCttKyBjdXMjrMZgvbd5wCYOXKGcN+XmJiIHK5jKqqZhoa2qU5ASdRUiKKrSZN6j9+eCD8/DQkJ0dSWtpAXn41l1zsmQuXruLEiTIAZs5I9ph7m3Vr57FlSw7bd5zi549e6zF1OZvaGtFpLC7Oc90IpmSK4sj8gmosFqtXiMAH49TJcqxWgbi4MLefeyMjgygvb6SxsYPkJNcKvMeK/PxqANLT49xcycAkJIZTWtZAVWUTCxekurucUVFZ2URRUS2trV20tnXT3W3giitmk57mOeMfGp9A5YkTGNtc66w4FrTV1lKbn4e2rY3utlb0nZ1kLr+MxBnDvwZ0JjqbsN33HIF6mC3itNUWGerNdDY1Un3mDN2trWjb2tB1tDN58UVMlBxOJCQkxjEeLQLJysqioaGBuXPnOn5nsVjYs2cPL730EgaDAYVC0es5sbGxJCcnU1RUBAyvk2o8UFnZxBO/fJeuTh0ffvAISqVi6CdJSEicN0ZjT/a7SqVw2Kzq9a7NnB8Oe/fl8cun3sVksjB37kSefPxGYmJCMJlMhIf78sJz1/HOu/t47fXtfPV1Nnffdem4nQRzNiUldVgsVkJD/Z3W0bd61Sxe+ucmikvqyMuvdkyKjTc+/OgAVqvAooVpTJzo2g7482HmzBSO55Ry4kQZ16yb7+5yRoQgCBw8VAjAokVpbq5mZCgUciakRFFQWENxca1XiECqq8V4jIQEz6+1PyInTqCruYmG4iIiFosL1KZWvcuPa9GKEWr+yUFY9Ga6ituxdIu/00T2L/YGaKmuAiCsHzcFbyBywkQaz56lobiI5CniPY2p3YhgFZC5MDPcbBtvn1g/5GoFHWdaMHeJ1yiDjneVON6hCYkuq2088/DDD/PRRx/x+eefExgY6HCeDA4OxtfXF7PZzI033kh2djZffvklFovFsU1YWBhqtZrg4GDuvfdeHn74YcLDwwkLC+ORRx5h+vTprFy5EoDMzEyuuOIK7rvvPv79b9GC/vvf/z5r164lPX10LmXeSkqK2HlbXt44ZMOHJ3PgYAGtrd2EhvqzYP7kYT9Po1GSlhZHfn41WdlnufKK2S6s8sKhpET8fI5UBAKQmZkgikDyqrjk4kxnl+bROEQgM1PcWse5zJiRjEIhp6tLP66bp6prWgCIjQ1zcyUDk5wcia+vGp3OSFl5A5Mmjvzz5UnknBCjCmfNSnFvIUBkRI8IZLxgF4FkpnvuvYD9HraqusXNlYyOxqYObr39OSwWa6/fZx8/y3/ffMBNVfUlzHafYmz1bhGIobubV+66HZNO1+v3BXt28+MPP3HLtay+HxFIaKL42bPfJ3orFrOZ1+65C21bW6/fn9q0iQc3fonC2xpOJCQkJIaJR8utV6xYwalTp8jJyXH8zJs3j9tuu42cnJw+AhCA5uZmKisriY0Vu3jP7aSyY++kGk8ikKioYJqbO6lvaGfX7jPuLkdCYtxjMIqLK2q1EplMhkYjauoMBveKQLZvP8kTT76DyWRh+fKp/OPvdxMTE9JrG7lczi03X4xaraSmpoWzpX3txC9EGhvbefKX7/LgQ286fh57/C3Kyns6SgsKawBIS41z2g1ZUJAvl146DRCFEuORzk4dX34p5oLffPMSN1fTP/ZJ6hMny9xax/lQVdVMTU0LSqWCuXMmurucEZNm6+oqKKhxcyXDo6rKu0UgMWniAnFdYSGqENHFyqKzYNGZXXpci1b8flT4KQlbEI3CV/zelKnkqIIHzixvdYgSPHfidzDOHW9loAqZUoZgETB1GF16XItOHG+ln5LQOZEog2wOQTLQhA/s8NFqF93Ee+d4u5vXX3+d9vZ2li9fTmxsrOPn/ffFOLSqqio2btxIVVUVs2bN6rXNgQM91wDPPvss1157LevXr2fJkiX4+fnxxRdf9Lr/feedd5g+fTqrV69m9erVzJgxg7feemvMX7OnkJgYgVwuo6tLT3Nzp7vLOW+++EK8Xlpz5ZwRN3bMmS0K+7KyS5xe14WI2Wxx3AeczyK1Xdidm+fdiyYjxWKxOuJIPUkEolQqHNdudmfH8UipPToj3nNFIAqFnIz0eADycr3/85GTUwbArJl93b/GGru4qbGx3c2VOI/8ApsTSIbnOFF8m0TbuaWyqsnNlYwOe9OTv7+G5cumcs26+SgUcoqKah33wJ6AvTnA4OUikObKCkw6HUq1mrRLljJ73TWofH3pqK+nJi/PLTXp2sVzh29wj1DSLrpp9XIRSGdDA9q2NmQKBakXX8ystVfjFxyCvquT0qxj7i5PQkJCwmV4tAgkMDCQadOm9frx9/cnPDycadOm0dXVxSOPPMLBgwcpKytj165dXH311URERHDdddcB9Oqk2r59O8ePH+f222/v1Uk1HtBoVNxw/SIA3tuwD0EQ3FyRhMT4xmgTgWjU4iKWRuN+J5BNm7L59dPvY7FYWb16Fr/9zS2oVP0bPvn5aZg3bxIAe/bkjmWZHss/X97Mzl2nOXKkyPGzd28ev/3dh45OCPsitbOtSNffJIoSt207Oa4mbOx88cUxtDojEyZEjairdSyZNi0JhUJObW0r9fVt7i5nRNhdQGbOTMbPb+DFdE/Fbi1bWOglIhBbh5c3uJb0R48ooQC5So4qVHzP6Ou1Lj2u2SYyUfgpUWgURCyJARn4JQQM6ojRWi1O/IZ6qSjh3PGWyWRoIkQBhr7OteNtd15R+KmQK+VEXhwLchk+sf7IVQPfAvaIbuJdWt94pb29HUEQ+vzcfffdAKSkpPT7uCAILF++3LEfHx8fXnzxRZqbm9FqtXzxxRckJvZ2ZwkLC+Ptt9+mo6ODjo4O3n77bUJCQsbuxXoYarWS2FjR+bOy0jsXYRob2zl4qACAtWvnjfj5s2fZRCBZZ6X5ACdQUdGEyWTBz1dNbGzIiJ+faY+8yK+6oP4excW1aLUG/P01HufwkJQUAUB5xfgUgQiCwPEc0ZVi+vRkN1czOFOmjA+RlMFgcrwGT3ACsbuVjhcnkLa2burq2gBIT/Pca9OERPHcUlXpOUKJ86GhQZyLmjEjhT/+4TYe+/l1zLE1mezYedqdpfUizHZN7O1xMB0NomgvanIqN/3xz6x59DFSLxKbpvJ37nBLTdoOmwgk8Jw4GJsIpK22BqvZtY0jrqSjQWyADImNZf2f/spVjz1O5ooVAOS5abwlJCQkxgKPFoEMhUKh4NSpU1xzzTWkpaVx1113kZaWxsGDBwkMDHRsN5xOqvHAddctRK1WkpdXxalTFe4uR0JiXGOyiUBUNhGIj49oG6c3uLazdyA+++wwv/vDR1itAldfPY+nnrxxyO7BpZdMAWDvXvcozD2JkrN1bN12EoAHf7qWp355E08+cQP+/hry86v55NNDQM8idZqT81AzMxKYNSsFi8XKRx8fcuq+3Y3ZbHE4nHzn5os91p7d309DaqroIma3sPYWDh8WRSCLF3pnBIB9Qi+/oNrjF0msVqujCyrRNtnnbdhFCfUlxVjMZnxj/ADQ1Y6NKEHpJ35v+iUGknjTZCIujh30eS227OEwL40niUkTI5paq6vRd3biYxvvMROB2BxXfKL9SLxpEtErBhfT2G1+vXW8JS5swsICAGjvcO3ny1V8vek4VqvAzJkpJCdFjvj506eLgtb6+jZqarx7YcQTKDkrRsFMmBiNXD7yqbPJk2JQqRR0dOio9vKIgJGQY7uOnjFdjF/xJOyfq/HqBGIXsysUcqZPS3J3OYOSmWETSdlcHryVM2cqMZstREQEER/nfveVyMjxJQIpKqoFRAfGgICB4wzdjb05oLqmBbPZ4uZqzh97M0z0OXFZl106HYCdO0+5o6R+CY0T5w8sOh26Du99r3fUi9cZQVFRjt9lXnoZAHm7dox4bkRb3UVHbguC9fznVBxxMOc4gQRGRKBUq7FaLLTV1p73vt1Ne70oAuk13svF8S7cuwfLCAUu+jot7aebEb4VnyQhISHhafTfIn4ezJkzZ0Tby2QyNm7cSHz8yJS8u3btcvzb19eXb775Zsjn2DupXnzxxREdy9sICw3g8stn8cUXx9jw/j5mzPBs5b+EhDdjPCcOBnpEIAY3OIG8/8F+nn/hKwBuvHExD/7kqmFNVF68JAOZTEZ+QTX19W1ER4e4uFLP5dVXtyEIApcun+Zw5QCxs+fvz2zk369s5eIlmY7JYFd0odxy88Xk5JTx2WeHuevO5V7p6NAfO3edpr6hndBQf1atmunucgZl5swU8vOryTlRxurVs9xdzrAwGExkZZ8FYOGiVDdXc35MnhyDQiGntbWbpuZOIiOChn6Sm2hu7sRgMKFQyPtEbXkLoXFxaPz9MXR301xejn9MJB15rS4VJQiC0EeUAKD0Hzx316TX09koLtR4axyMb1AQwbGxtNfWUl9cRFRsOuSAvq4bQRBcJowzf0t0I/578PEWBMERB+OtzisSFzaBgaLTTmen3s2VjByr1coXtui8defhAgLg66tm6pRETp4qJ/v4WeI9OA7CGygpERcLJk86PzcLlUpJWlocZ85Ucup0hdfGyI2UHJsThSdFwdhJThZFIBUV3ukWNBTZx8Wxz8xM8Ph7SXscZElJHWazZcTxV57C4SNFAMyameIRzQ72OJiGceIuWmFz9kpJHrkwciyJigoiMMCHzi49JWfrHU6X3ka9zQnk3LnBpZdk8vdnPqegsIbq6haPuLZQ+/kREhtHW20N9UWFBIUvdndJ54XdCSQ4Otrxu0kLF6Hy8aG9ro7agnziMjKHtS9jq576rZUgiA6fkcviB3XbHAi7qMY3qKe5WiaXEzlpErV5edQVFjicWLwNx3hH9VzXJc6YgX9YGN0tLZRlHWPSwkXD2pepy0Td1goEs4CuppuoyxKQKz1L+CohISFhx2lnp5ycHFasWME111wz5M+6des4c+YMBoPBWYeXsHHzTaJt2O49uVRVe7cNnYSEJ2P4tghEY3MCGWMRyP/e2uUQgNx261J+9tO1w+5UCwsLdHQI7dt34bqB5OZVsWdvLnK5jPu+1zsm7NprFjB1SiJarYHHfvEWJpOFgAAf4uJCnV7HkosySEgIp7NLz6ZN2U7fvzsQBIH3NuwD4IbrF6HRDL4A6W7sOc7e5ARyPKcUo9FMVFQwEydED/0ED0SjUTkm5QsLPDsSxu4CEhMT4rWT1TK5nOhU0Z2irrDA4UxhajNg0bnG3lUwWREsYkeSwm/4GvTWGrE71CcgEN8gzxUHDYUjEqagAE2ELzKFDIvOgqnDNe5hgiA4/pYjGe+u5mZMej0yuZyQ2MEdWiQkPBGHCKRD5+ZKRk728VJqalrw99dw6aXTzns/U6eKE/MlJXXOKu2CxT6Gk85TBAIwc0YKACdPljmhIs/HarU6nEBmz57o3mL6weEEMk7jYI4fF4Xhc2ZPcHMlQxMXG4q/vwaTyUJZWYO7yzkvzGaL4759+fKpbq5GxC6mbxonTiD2eDdPd2CUy+Vk2CLA8nIr3VzN+eNwAonucYEIDQ1wxM3t3OU5kTAxGRkA1OZ771xmh92Z4hwRiMrHh8kjjIQRBIGmA3VgMwDpLuukYWfVeTlU9IhAgnv9Pi5TdJKuyfPeOPH+xluuUJC+dBkAeTt3Dms/giDQfKgOwSwOuK66m/qtlVhNkiOIhISEZ+JUidqjjz7Kr3/96yF/fvOb36BSefZCkLcycWI0ixamIQgCH354wN3lSEiMW+xOIBq1eC7T+KgB0BvGTgTyv7d28X//3gLAvd9dwY9+ePmIu0/skTB7LuBImFde3QrA5atnkZIS1esxuVzOzx+9FoVCTrFtIjgtLc4lXT4KhZybbS4k7394AMs4sBQ8ebKc/Pxq1Gol11270N3lDMlMm4NWaVkDbW3dbq5meBw6JEbBLFyY6hHdZ+eLvVuqoNCzLaGrbHbudstfb8UeUVJXWIDCR4kqVOwW1de7xg3E7kohV8tH1CHTaosmCU2I9+r397njLVfK0USKC9V6F0XwWPUWxyTguc4rQ2F3AQmOjkEh3atJeCF2EUhHp/fFwXzxxVEAVq+aiY/tvuJ8SLItctsXziTOH7sD4GhEINOni9eWJ0+WO6UmT6e0rIH2di0+PioyM5zvnDha7J+PhoZ2urXjqylNEASHE4gnCnC+jVwuJy3Vfv3v2SLwgTh8uIim5k5CQvy45OLhdeu7GnscTHNLl1fHktiptMdweoGT0hSbCORMbpWbKzl/6uttTiBRvQUAdnHqjkEiYQwGE7t3n2Hb9pOuK9BGa0sNbWbxO7o2z7VzmbU1RXzy3m85eugzp++7J55EFCWcLc7io3eeInCyKMbP27lzwEgYi8lE0YH9nNy8ic7CNgwNOmRKORFLYpApZGgruqjfXoXV3Hde0Wq1curEdj5460mqq/J7PabrEN8D58bBQI8IpDp3ZCIQi9nMkQOf8MFbT9LR4dprU4NRz+7tb/LJe7/BbO7bbNHeT/wOQObySwEo3Lt7wEgYq9nM2aNHOP7FRrpL29FVdiFgpdb/FDKVHH2dlrotFViN3n/elZCQGH84LQ6mtLSUyMjh27Pl5uYSF+ed9miezi23LOHQ4UK+/CqL79270jEZJiEh4TwGjIMZIxFIUVEtr762DYAf/r/LueP2Zee1n0suyeSllzeRffwsHR06goIurPPF8ZxSjhwpQqGQ8917VvS7TWpqLLfcvIR33t0L4FJrzzVr5vLKa9uoqmpm/4F8h0jHW9nwvugCcsXlswkNDXBzNUMTEuJPSkokZWWNnDhZzrKlnj/+dhHI4kVpbq5kdKSlxbFp83GPnwTu6Ubz/InIwYhxOIGI7x/fGD9MrQZ0tVr8U5zvuNFfFMxwaLGJQMISvNNy1s63x9snxg99nRZ9nZagDOc7S5ltLiByH8WIbIB7xluKgpHwToIccTDe5QTS0aFl9x5xUv3qtfNHta8k2/dT+TiNuxgrurr01NW1ATBp4vmLQGZMF10XS8sa6OjQEhTk54zyPJbjNhHC9OnJHumYFhTkS2ioP62t3VRWNJHhgUKV86W2tpX6+jYUCrnD7dPTSUuL43hOKYWFNVy1Zq67yxkxG78UxXtXXjEHlcpp0+ujIjTUH4VCjsVipbm50+sjf6ts914JHu4EAjB1ini/kpvnnU4ggiDQ0E8cDMCyZVN55h8byc+vpra2ldhY8f7FbLaw/0ABO3acZP/+fLQ6ceE9JMSfeXMnObW+9rYGdm97neITO7G0N0GXDNBQdfqk0yM2m5qq2Lnp/yjP3QfdHciAkkOfM23WSnx9nDev1dEgikD2H3ibL756ErlevH41KzQoNT601dZQV1hIbLroKilYrZQcOUzeju0U7t2LvqsTH58grrs9CRlyQudEEpgWijJATf32SnTV3TTsrCJ6ZSIymYzCvAPs2/4fmkpPojCJf6sPirP52dObHDXp2m0ikMDecwLxU8S5sbrCAixmMwrl4Oe840e/4sie92ivKkBhEYUR7zdXc9+D/xnlqPXGarWyf/c7nDz0Od11pShsopmNwPXf+U2vbTttcTDnOoEAJM2chV9ICNq2NsqPZzNx/gJA/EyUZ2eRu2M7Bbt3o21vQ6nyQb0+Aj9NKAV1n5Nb+xHLrv41kQ0ZGBp01G2pJHZN8nlF8UhISEi4Cqc5gSQnJ4/oCzcxMRGFwvNuCscD8+dNZuLEaHQ6IxttHUUSEhLOxWgTe9hFIBqN+F/DGMTBWCxW/vq3z7BYrFy6fNp5C0BAtNWckBKFxWLl4KECJ1bp+QiCwCuviE4q666eN2i26XfvWUFMTAjQc3PvCnx91Vx7jXjDYRdQeCu7dp92LGjcvP4iN1czfOy23d4QCVNd3UJFZRMKhZx5cye7u5xRkWYTV3l8HIwtai/e251AbBNJ9UVFCFarIxJGX+ea7vnziSaBHmeK0HjvFiXY42CaKsox6nT4xNrHu3vA7q7RYBfdKEc63g7nFe8eb4kLlx4nEO8SgXyzJQej0Uxqaizp6aMTG9udDurqWh2idYmRc/asuDATGRk0KpF8aGgASUni4uWpUxVOqc2TsYtA5niwE4U9gnC8RcLYXUAyMxPw89O4uZrh4bj+93AReH80NXVw4IA4f3L12nlurqYHuVxOhC0SptHLI2HMZgs1ta0AJHmBCCTT5gRSVtbolU5DrW3dGI1mZDKZw1HGTlhoALPskTA7xUiYltYu7n/gVR5/4m22bjuJVmdEoRCXmQ4edO7cosGo59+/vpKiPR8itDeJi1l+AiCg7+h0LO47A6vVyht/vIGKo18jswlABEAuCGQd+txpx7GYTHQ1i3MLrRXZyPU6BNuxlBYDcTPFiCl7JIy+q4sNjz7M+48+zMlNX6Pv6kSuUDB7wXpkVjnqMA1BmaI4xzfOn5jVSSCXoavqxthioDDvABv/9WNaC4+hMBntppGYW+sxGPUAmAwGzEZRHPJtJ5CwhEQ0AQGYDQYaS88O+tp2bHmNHW89RVd5LgqLxXGs1irnzzm//79fcOTTZ9HXnkUhCI5jlecf7rNte0Nv5xU7cqWS9GXLAcizjbdJr+eTX/2Sdx78Ccc3fo62vQ1kMHPOdfhpQuky1JFXJ74fjp/5lJgrkpGp5BgadS6bU5GQkJA4X5waB2MnJSWF3/72t1RUjP+bXE9EJpNxy80XA/DRRwfHRaSAhISn0ccJRDN2cTCffX6EM7mV+PlpePDBtaPe3yU2t4m9e70323Gk1NW18cjP/8eJk+Wo1UruvuvSQbf39VXzwvP38vNHrnF53u+NNyxCoZCTk1PmtfnI5RWN/P4PHwPwnVsuZsKE6CGe4TnYJzdyTpS6uZKhOXRYdBWYPj2JgAAfN1czOtJSRcvT+oZ2j47iqa6yxcF4gSXxYIQnJqHUaDDqtLRUVTlEIKY2g0Ow4UzscTAjFoGME1FCQHg4AeERIAg0lBSjifBFppBh0VkwdfS1qh0t5+u8Ml5ENxIXLj1OIHo3VzIyNm06DogLiaPtZA0LC8DPT4PVKlBT0+KM8i5I7FEwk0cRBWNnhi0S5sTJslHvy5MRBIHjObY4Etv1tCeSbBNKlZePLxHI8ePiotyc2Z479t8mLU28/i8qqsVq9a55y683HcdisTJ9elKfSFl3Y1/Ab2zybhFIbW0rFosVjUZFRESgu8sZkvDwQKKjQxAEgfx874uEabBFwYSHBfTrbHPpcjESZueu05ScreO+7/+LU6cqCAjw4ZabL+bVf/+QXz11EwBHjhY7tTaN2gdNWAwWpYrQtHlc+f1niZiyEJmvuORfnXvGaceqqS5AYTYhADEzlnHDg2+gjhIbwfJPbHPacTqbmkAQQCZgUclIXnAVdzzxIYKvPwCWYNE9I2/3Tlqrq/jv//s+Z48cRuXjw7zrb+SOl17m5l89y4TJixEEK+EXxfRyn/CJ9sMvSXQt6Spp59TxzcgAi1JJ6rL13Pv011hkMuRA9uGNQI8LiFyhQO3X27lMJpcTlyHGXtUMEQlTfEZ0Ubb6+DHjiu9xy6PvIAAKo4GaaucKQerOnhD/ERTGgusfYuktvwTA3NaAydhzP2Do7sbQ1SVuGt33nO2IhNmzh/b6Ot564Efk79qJXKlk1tXruPXZF4iYl0hq5mXi/iebmHzJtQC0VheiCfchYKJ47u0qbnfqa5SQkJAYLS4RgTz88MN8/vnnTJw4kVWrVrFhwwYMBu9TwXozq1bOICjIl/qGdo46+eJLQkICDHYRiKZ3HIxe7/zFnHNpbOrg//79DQD/7weriYwYvW3/UlvkxaFDhWMWZ+MuLBYrH318kNvveI6DBwtQqRT87MGriYwMHvK5CfHhXHvtQuRyl3x1OoiMDGbmzBQAcrzAjeLbaLUGnnjiHbRaA7NnTeCH/+9yd5c0IuxOIEVFtWg9vIPnsE0Esmihd0fBAPj7+ziynguLPLMbUBAEhxNIYoLnd6MNhlypJHqy6B5TV1iAwkeJOlTsGtXXO79zxeFM4asa0fNaqsdPPElMWk8kjFwpRxMpLlbra50/3ucruhkv8TsSFy72qI2ODu/pwKurayO/oBq5XMaKy6aPen8ymczRMS1Fwpw/xcWiCGTiKKJg7MywXVuePFk+6n15MmVlDbS1daPRqMjM9NyYFbsTSMU4cgIRBMHhBDJnjue6sHyb5KRI1GolWp2RqirvEa0JgsAXtiiY0UZ4uYIomwjEHu3hrVRW2e+7wl0+B+Mspk4R71lyc71PBFJf3wZAVFT/c2PLl01FJpNxJreSH/zg/6itbSUhIZxXX/khP3lgDVOnJjJ/3mRkMhklJXU0OVmEdO9Db/HI3w/y3R+/wpRpy5g6+3Lk/qJ4rOr0KacdpyBXdOS1qtTc9r1nSZk4i5TMxQC0VBU67Tgd9eJ1hkwloA6J4Mbbf0d0zCTCE0WhRZupHKVaTWtVFa99926ayssIjIzkzn/+i8t/9hAJU2egagkBoDB3B51d9X2OETBJ/Ft2n22nsaoIgJDEDNbd8AtCQ2PQhItuTHk5okOyrkP8m/kGBfUrSo6zRcLU5A0uAulsEt//E2Zeyqo1PyIhMRPBR7z3Pbr/42GO0PAwdYpuQQtX3sMly29nzoK1orhFEMjJ7om5sUfv+AQEovHz77Of5Fmz8Q0ORtvexit33k5tfj5+wSHc/vyLXPXzXxCdkcq8iXcil8spKzlEeGQU85esB0Bh0FNfV9Iz3uUdWE3eJWyUkJAY37jkKuqBBx4gKyuLrKwspkyZwk9+8hNiY2P58Y9/THZ2tisOKfEtNBoVl6+eBfTkVEpISDiPbzuBaBwiENeKKF544Su6uw1kZiZw3bULnbLPjPQ4IiOD0OqMHMsqcco+PRGLxcojj/6Xfzz7BVqdkZkzkvnvfx7gmnWeN3EzbaqY43z6jHc5agmCwJ//8imlZQ1EhAfy26dv8cg88MGIiQkhNNQfi8VKhQcvnhiNZrKyxY6/RYu8XwQCkGazwC/w0EiY5uZOdDojcrmM2NgQd5czauwRJXWF4mSW3Q1E5wJRgkUrfjeORJRgNhjosFn7jgdnip7xFrufeiJhXDDeOnG8lX7DF90IgnCO84rnLt5JSAxGoMMJxHviYPbuEyfSZ8xIJjTUOTnz9viRykrPvY7xdM7anUAmj14EMnOG6ASSl181rgX3dhHC9GlJ/XaRewoOJxAPvs4fKbW1rdTXt6FQyJk+Ldnd5QwbpVLhcNvxVBF4fxw/Xkp1dQt+fhouu3Sau8vpg73BxdmL8GON/TssIdF7HBinZIpC6rw8LxSB2ERD0dEh/T4eHh7IzJni+UWrMzJn9gRe/fcPHedUgJAQf9JtMU9Hjzl3bjEgMKyXGGj6rFXgLzqBFB074LTjVJefBEAT3PO65l8kOpwoDDoa6pzjGGu/z5WpBYKjes7bU+aITVTGjnomLhTnfI1aLbEZGdzzymuOe8r2U82YO00YTd2cyP6U0qNH+hzDLz4AuUaBRWfBXx8CQIxNZAKQlC5GUTdX5gOg6xDfA75B/QuB4jKHJwKxdIv7SZncE5UVmiDWXV5wcNDnjoTW1joUFnFuPmOaGJOuVKpRh4pOxKezNju2tY93UHT/LsVypZL0S5YC4nhHJKdw9yuvkjhjJgBl+08T5j8Ro7Gb7MPvc/boEWJjJ2HRiI68R/Z/jCbKF2WgCsEsoK3odNrrlJCQkBgtLpXSzpw5k+eff57q6mp+/etf89prrzF//nxmzpzJG2+84ZIMbIke7LmU+/bl09La5eZqJCTGF3YRiEYtLrD4aFSO37vKyvTAwQK27ziFXC7j549e68jbHC1yuZxlNjeQb77Jcco+PZEzZyo5fKQItVrJIw+v458v3UdKsmdZt9qZPs0mAjntXSKQjz85xLbtJ1Eo5Pz+d7cSHu75tq39Ye+grfDgxZOTJ8vQ6YyEhweSOjnW3eU4hfQ0ceHZU3PB7S4gMdEhHr24MVwGFiU4P47HrBu5M0VrTQ0IAhp/f/xCQpxe01jT4wRiG+8YsQNJX9ft9Hsiy3k4gXS3tmLUaUEmIyQ2zqn1SEiMFYGB4kSsN4lA9tjiGJfa4hmdQWKiJAIZDYIgUHJW7BidNHH0kYYJCeGEhvpjMlk8VujqDHLsUTAeHkdidwKprGwaN9HJdgHOlCkJ+Pqq3VzNyEj3cBF4f2z88hgAK1fMwM9P4+Zq+mJ3i21sHB8iEG9yYMy0OYGcya10cyUjx+EEEj2wS+511y5ELpex7ur5PPuPewgO9uuzzYIFotvkkaNFLqnTjlKpxhoqHr+tohqrxeKU/bbaRB5hMT3fZbGxk7CobYv9Bz50ynHa623OHWqIS+4Rk82edxVWmQyFIBA8JQGZXM6Uy1Zwx4svExghfn8Z2w20nRTnJrT+DZhNes72IwKRKWT4TxDPB4n+cwGYmNbTTDj/ohvF7fRampqqHHEwPkH9O07bRSCNpaUYtP3PGdTWlqCwWhGAjCmXOH4/ZdZqAPTNtVjMzomfLcgVY2csCgURET1NI4lpYqNfU0We43ftNueVoKiB54BnXX0NcoWCSYsWc9f/vUJonDg/Ze42oa4R5zZPln+KXt9B6RFxvEPjUwEoyz+ATCZzuIF0lXi3E5OEhMT4wqUiEJPJxAcffMC6det4+OGHmTdvHq+99hrr16/nySef5LbbbnPl4S94Jk+OZUpmAmazhc2bj7u7HAmJcYXRKHZxqVSiy4GPT89ki8HgnAvac2loaOf3f/gIgJtuusihrncWV60Rbwh27zlDe7v3WGiPhEO26IxLLsnk+usWebSl6NSpYgdJRUWTV1mav/X2bgB+fP+VzJjhPV1o38YbFk8OHhLfzwsXpvZr1emN2HPBCzxVBGKzqY5P8J5utMGITu0RJQiCgE+0OIlmajNi0Tn3e8wRBzMSEYgtCiY0PmFcvMftIpDGs2cxG41oInyQKWRYdBZM7c6NknOIQHxHMN42F5Dg6GiUau9aQJKQsGOPg+ns1LtMlO1MOjq05OSUAXDJxc4XgXiymNWTqa9vp6tLj0IhdwgGRoNMJmPGdPG6+MTJslHvzxMRBIHjXiICiY4OQa1WYjSaqatrc3c5TuH4cdEdcPYs74mCsZOaKs5reIsTSEeHjl27TgOw7up5Q2ztHiLscTCN3r0I6YiDSfQeEUhGejxyuYzGxg4avWz87fFBMQM4gQCsWjmT7Vt/wy8eu27ApogF88VF8aNHi11+LeYbPwHkAoLZSlNZmVP2aWi3OdBMmNnr9yG2xf7SPOe4jrTViec8mUogNWOx4/catQ/KEPHao7Yrn0e3bOe6p3+HykcUoQiCQPOBOrAK+Cb4E2eLBi4/no3Z2PeeMmCyKEqID56LXK4hNeMix2MJiZlYVBpkwNH9H6LrtMXBBPcvAgkIDxedNASBuoKCfrcptAkzrEoVAYFhjt/PXbAOK6CwWjlzaseQ4zMcyovFtAFlQEiv389bfD0AMl0XrS3iOA/lBAIQP2UKj3yzjVv+9gw+AT3ufM2H61GgormrkEY/0eGmJj8PXUcHGTNXAqBrrMJqtRIwURxvXU03Zu34dX+TkJDwLlyyApadnc0DDzxAbGwsDzzwAFOnTuX06dPs27ePe+65hyeffJKNGzfy6aefuuLwEudw9dWi+vGLL49JzisSEk7EaBRV5o44GE3PDZCzbX5NJjNPPvUubW3dTJ4Uww/uW+XU/QOkp8eTlhaHyWThmy05Tt+/J3DItmi+aKHnR2eEhPiTaFtoPn3GO7pIGhvbaWzsQKGQe2TEzkjwBhGIXdS02Avez8MlzTYJXFXVTFeX3s3V9KWqyt6NNj5EIJETJiBXKtF3dtJeV4fCR4k6VOxmdGZEiSAI5yVKaKkSz31hCd4fBQMQFB2Db1AQVouFxtKzyJVyNJFidIWzI2HM5yG66RnvRKfWIiExltjjYARBoLvb4OZqhmb/gQIsFiuTJ8UQHx829BOGicPRrKLRafu8kCgpEbtFk5Mjneb8NWNGCgCnTpU7ZX+eRnlFIy0tXajVSkccgqeiUMgd1/rl4+AzIgiCwwlkzhzPFuD0h90JpLCwxivmLI8cLcJoNDMhJYrMTM+8Ro2KGm9OIN5z7+Xrq2biBHGROTfXuyJh6mxOINGDOIGAGD8/GNOmJeHrq6alpYuSknpnldcvEXFzkfuJQhNnRMJote3ITaKQIi1zSa/HMmauAHoW+0dL3VlxPge1QMqE2b0ei58sNuk1lp9BpentNtRV3I6+TotMISN8UQxRkybhHxaO2WCg6tTJPsfRRPhgVGhRKnyIC78Ijc3RxE5w3CQASnL3oWu3iUAGiIOBHjeQ6twz/T5eVXpCfFlBvT+3Gh8/FMHid++JY18NuP+R0FQjus0ERfS+7kieMBOLUoUMOHLgYwA6bM4rwYOIQIA+462t7ERb3olVsHC88g1iJ08hcuJEEATKso4xb+E1DnFL3undqILV4j2+AN1nvfscLCEhMX5wiQhk/vz5FBUV8a9//Yuqqir+/ve/k5GR0WubKVOmcMstt7ji8BLnsHLFdHx8VJSXN3LqlHfFCkhIeDL2OBi1LQ5GLpc7BCF6vXNFIC++9DVnzlQSEODDH/94Wy/XEWdij5Da+MVRr5iAGQktrV3kF1QDsHBBqpurGR7TvCwSJjdPHN8JKVEue4+OFZ4eB1Nf30ZpaQNyuYz58ye7uxynERLi78ggLvLAbsC8fPE9nuBFE5GDoVSriZwgdoz2RJSIXfQ6Z4pATFYEi/idMpJ4ktp8MZs4dJyIQGQyWU8ET8G3I3icLLo5j/id2gLbeMePj/GWuDBRq5WOxQlviITZa4+CWeo8FxCAxCTxOqa1tdsrxsHTKDkrikCcEQVjZ6bNIe/kqXKvcKkZKTk2EcK0aUmOe2JPJtn2GSkv934RSG1tK/X1bSgUcqZP8z4nxokTolEo5LS3ax1OBJ6MXZiQOcVzneoiI8QF3MbGDq+d1zEYTNTXi++HxETvuveyR8Lk5nmXCMT++YuKChnVftRqpcMRytWRMEHBSRAgfg7P7N0y6v0VnNmHDLDIZMTG9W62mb/oWsdif77N7WI0OJxAAjQolL2/N+cuulb8R3cHHe0931MWvZmWo6KjRcjsSFSBamQyGRMXLADoPxJGJqNaLwozJkQs6/N42oxLAdA2VKDrEN8DvgPEwUCPCKQmL6/fx5trRaeM0OiUvs+dJIpdGkr7ilXOB22reL0Wm9T3OjowVpznKDkj/q06GkQRSFDU8K/trCYrTQfFYxQ2fE2HvpIJqQuYON823kcO4+sXhDxIFHLnHP0CgIBJ4vhJkTASEhKegktEIGfPnmXz5s3cdNNNqFT9K0T9/f158803XXF4iXPw9/dhxWUzANj45VE3VyMhMX6wx8Gc6wBin3TWG5xn6/7Nlhw++vgQAL9+aj0J8a67AV69aiZqtZKzZ+vJ87Ib1qE4fFi8+UxNjSUiYuAbGk/C20Qg9veMp3ZEjYRznUA8ceLMHgUzdWqiw/p+vGCPuvK0SJgDBws4erQYhULuNUKy4eAQJRR+S5RQ0+20977dlUKuliNXDu/Wo+r0KXK3bwNg8uKLhtjae7BHwtQVip9hnxh/AHS13QhW54y3VW8B266G67zSWFrK8Y2fAzD5ovEz3hIXJnY3kI4OzxY/GAymc6IKnSsC8ffTEBEuZpfb7fQlho/dCWTSpFin7TMtLQ6NRkVHh25cCA++jd2JYvYs73CisMf8jAe3nKPHxAW3KVMS8PX1PiG+RqNiQkoU4HnX//1RXS3GQ7pyXma0RESI53+j0ey1QsCamhYEQcDfX0NoaMDQT/Ag7G5IuXne4egKYDZbaGrqBCBmCCeQ4WCPhDlypHjU+xoK3wTxfN5SOvp5s9Jicd1E4R/UJz7a1y8IeWAoADmHN476WIb2LgD8ovrGzk1KnY9FqRSdLA5+4vh924kmrAYLqlANwVN7HOR6RAl9RSAARfXbAYjQTMbc3btpcf7iG0Rxi8VCfYX49xqOE0hNXm6/j+ttopW4lOl9Hpuz8BoArF3tdHW1DXiM4WA2G0EvNlJMSl/U5/HU6csB6KovA3qcQAaLg/k27WeasXSbwUegoO5TBCA98yImzO8R3QiCQKwtOqjurCi28Z8QBDIwthgwtnqew62EhMSFh0tEIMnJ3qc+H8/Ycyp37DhFd7f3fvnU17fxwYcH+P0fPmL3nv4vNiQkxooeJ5CeBRYfH1EEYnCSE0hJSR1//osYm3X3XZeyZEnGEM8YHYGBvlx66TQANn5xzKXHGmsO26MzFnlPdMa0qaIIJDe3EovF8zsG8/JtIpCMeDdXMnri48OQyWR0dxtobe1ydzl9sL+fvSHaaKT0WELXurmSHnQ6I39/Rlwgv3n9EiZMcF5nsLuJSe8rSpApZZg6jOiqu51yjJFGwVjMZjb97a8AzFhzFQnT+k4geSsO0U2RbbwjfZBrFFj1FrpLnWMX6xDd+CiQyYfuUBWsVjb9/a9YzWZSL76Y1IuWDPkcCQlPJihIFIF4+sLXkaPF6PUmoqNDSEt1ntjATqIUCXPeFDtEIM77vlcqFUy1dYefHGcOrYIgkJNjiyOZ7SUikCRx0W08xMHs2HEKgIsWu3auwJWkpfVEwng6VTZhnSc7A2o0KkJCRGG3N7ir9EdFpTjOiQkRHuu4MhD2c31eXrVXzOMANDaJrjEqlYKQEP9R72/BAtGt9MTJMvR65zXJ9cekhUsBsHQYMepGd+3XUCXeowVE9N/YFDNRXOyvtUWenC8GbTeCSXxvRE1I73ebAJuTRtGpXQBYjRY6C8XPc9j8qF73eSnzxDjm+qJCultb+uyrvbWYpq4CZDIZXd+KKAkICEEeIIo+GqpEUaFv8MCNc7Hp6cjkcjobGuhs6v0dqtN3ITeKcYzfjtMBmJy+CItCgRw4evDjAY8xHM6WZCEHrMDktAV9Hl9w0Q0IgMJsprjgMB2NYq3DdQIRLFY681sBqPfJx2I1YFVp8PULImnmLBRqNR319bRUVjBr4ToArJ2t6LQdKHyU+CWI4rWuEikSRkJCwv04TQQSFhZGU9PwbdOTkpIoLx+feaiexrRpSaSkRKLXm9i6zTmWW2OFIAh8/PFB7r3vZa674a889/yXfL0pm8efeJsnnnyHxibpy1TCPfQrArE7gThBBNLVpefxJ9/BYDCxYEEq9353xaj3ORzW2SJhtm07gVbbk6V+5GgRe/Z6p/jKYrFy+IjoBLLIi0QgEydG4+erRqszUlrq2izV0SIIAvnjyAlEo1ERExMCeF4kjMlkdnT8edP7ebikOZxAqt1cSQ9vvLmDuro2oqNDxuxcPFbEOpxAxAkvhUZBYLrY4dR20jnv/ZFGkxx5fwMNZ0vwDQ5mxQ/vd0oNnoJdBNJQXITVbEamkDu6uNpOOsd5yD7eymGO94mvv6Ly5AlUvr5c/uBDoz6+hIS7sTuBeLoIZI+tqWHpJZkuWeBKSupxNZMYPnq9kYoKccwmT4px6r5nzEgB4OTJMqfu191UVjbT1NyJWq1kypREd5czLJLsIhAvd2VpaekkK1u8L1i5Yoabqzl/vEoEUm0TgXiwEwj0joTxRqqqxPOwJ4ttBiIlJQofHxVarcFrhJj19W0AREUF93HAOB+SkyKJjgrGaDSTc6Js1PsbjItW3Q4qAZCRtePzUe2rq0U8B8UkZPb7+Kz5VwNg7WhBpz3/z1ZHvRjpgkJg4tSF/W4zaeolAHTWnhX/W9SOYLaiClHjG9dbqBMQFkZ0qui+Unqsd0NfR0cTcrOJypZ9QP8RJVETxO8PfXsbAL6BA4tA1H5+RKaIgs+a3N5zxEV5BxxxOolJ0/o8Vy6X4xclNrsVntw54DGGQ0m+6JiNjx9KZV8XrKCgCPAXX8eRXR9hMRpBJiMwsq/zSn90l3Vi0VlQ+CkprBdr1QSL19YqHx+SZoiCoLNHjpAx5RIscrkobjn0GQABk8VzcFdJu0e6C0tISFxYOE0E0tbWxqZNm9i4ceOwfpqbm7FYLM46vMQgyGQy1l4lLuxu3+FdIpDN3+TwzLNfkJdXhUwmY+bMFNZdPR+FQs6u3We47fbn+HzjUekLVWLM6d8JRLzw1BtGJwKxWq387g8fUlXVTHR0CL/51XoUCpcYN/Vh1qwJJCSEo9UZ2bHzNI1NHTzx5Ds8+LM3efyJd6iraxuTOpxJQUE17e1a/P01DncNb0ChkDvyZD09EqaqqpnOLj1qtZJJTp4wdxdJjkgYz7JRP326Aq3WQEiIvyM6ZTxhf03l5Y3odK7tGhoOxcW1bHhfnDB55KF1XmmzPRhRkyYjk8vpbml2dPIETwsDuQxDvQ59nXbUx7A7Uyj9+o+IPJe2mhr2vPk6ACvvfwC/kJBRH9+TCI2PR+3nh9lopMkmhg/MCEWmkmNqM6KtGL3zkMN5ZRgikO7WFra//BIAy777PYKjx8f5W+LCpicOZvTnL1dhNlvYt1/MUl+2dKpLjuFwApFEICPiwIECLBYrsbGhREWN3hL/XGZMFx1zc06UeU13+HAoLBIXzeyRN96AXSTV2trt0eeKodi58zRWq8CUzATi48OGfoKHkpYmuiEVFnmOE2B/dGsNtLSI12qePt4RkeLip7c2ztnvwe2fVW9CqVSQni66o+Z6Scxyfb0oDIh20veeTCZjwYKxiYQJCopAHijOl57c9fV578dqtWLVipE4E9Pm97tN5rRljsX+Y4fPX3BSWSiuzchUAulTLul3mx4nCxNlZ0/QkSc6fARlhvUrHrZHwpR+KxKmIHcvMqC84wjIZZhaDRhaervEz5x3FQBWg3gf6Rs8+Psg1hEJk9fr92eLxGPL/QIHFBNNmnIxAO01JYMeYyhqyk+LtYYO7OwRmSxeY9fk5wAQEB6OQjn0PbIgCLTn2sY7I5SWelGIExY70bHNuZEwcrkc30hx7jb/hBi945sQgFwtx6I1o6/13usMCQmJ8YFTVxXvuusurr322mH96EZp0SUxMuz59Xl51Vit3jPhsHGjeAGx7ur5fPH5L/jXP7/PLx67jjdeu5+MjHi6uvT85a+f8smnh91cqcSFhsEhAumZ6FJrxIvJ0TqBvP3OXvbuzUOlUvCH39/qFDvG4XKuaOzN/+zgttufY9fuM4B4IWyP/PAmDh4SO9znz5+MUqlwczUjwy5aOX3Gs/Nk82yTG6mpsV43xgORmGS3UfesxRP7+3nhwlSndOl4GhERQUREBGG1Cm7vBrRarfzlb59hsVhZvmyqyyO53IHKx6enk8c2iaP0UxGYKk78OMMNZLhxMIIgsPnZZzAbDCTPnsP0K64c9bE9DZlcTmy6+D6qyRfHW6FREJTZ474yWmGzeQTxO9v/+RL6zk6iU1OZf+NNozquhISnYI+D6ej03BjUU6craG/XEhTky4wZronSTUr0zOsYT2ebrWlmxWXTne7QMm1aEmq1ktraVh565D+0eGDk4PnQ3CwumkVHO1c040r8/DQOkU+5F39G7E6/K1d6rwsIQGqqKAJvaGj3yChOOzXV4qJgcLCfQ3DoqUTZRCDeGgdjd7HyRicQgKk2V6TcXM+ex7HjEIFEhzhtnwvmi5EwBw8V0NXl2muygCRRyN5SXIpWe37v+cqK0ygEAQGYnLG4323OXew/eXgjJuP5va7ikzYXC43NsaIfQsPiEHzFSJHTO7Zh7jQhV8sJmNT/d+2E+aKjyNmjR9C294xBWVEWAFZfNX6JtoiS4t5jNHX6ZVjkcjCL1z2agIBB64+fYhOB5J7p9fv6ynwA/MMGjjmcv+QmUdxiMnDKJpg4H9obxc9WROzkAbeZMXcNAJbmNgCCo4cXBWNo1GFs0iNTyAhMD8HYbjsfpfR8105cIIpAyo9n09XczITMiwBoqyqgtbUOuVKOf4p4Hu7PfUVCQkJiLHHa6oHVah3xz8SJE4fesYRTSE6OPMeOzjtucssrGjlxshy5XMa9964gLCzQ8Vhqaiyv/vuH3HH7MgDeeHO7R3QMS1w4GI2i0KO3E4goCDEM0wmktq6VG2/6G9ff+Feef+Erck6UcvhIEa+8ugWAh362jiluiNZYc+VsFAo5tbWtdHXpyciIZ77tBs7di7Lnw6HD4qL5ooXeF50xbZpNBOLhTiB5+WJ0x3iIgrHT4wTiWd+Zhw/boo288P08XDIzxc4pd4vOvvwqizNnKvHz0/CzB9e6tRZXEpsp2t3W5vd08gRPDwcZ6Kq7MTSNTrht0YrfiUM5UxTs3UPJoYMoVCquePgRr8v/Hi6xGbbxPqdzKnhqGDKlDGOTHl1N96j2b9GJ4z2U80r58eOc+mYzyGRc+chjyIfRFSUh4Q14QxyMPQrm4iWZLhPPJp4TByO5Zg6Pbq2BAwcKAFjhgmiNgAAffvnkjfj4qDh6tJi773mJnBOlTj/OWGMXgYSfM1/jDSR7eSRMXV0bJ0+VI5PJWHHZdHeXMyr8/TQk2hb7PdkNxFuiYAAivd0JpMrmBJLofU4ggGMeLzfXO5qo7HEwzhSBzJs3GblcRnl5I1dd/Qd+/tj/2PzNcbrPiZ12FumLlwNg7TDzz19cyvO/vZotX/0Tg374DgyFefvFfag1+PoMLIJIyRAX+/U1JTz76BL++ecb2bvzLSxm87CP1VAmuqMoAnwG3S4iSbxvjOgWRUVnO/ZzPOerfpt7E6dPR+XjQ1dzE89ds5b3Hv4ZOV99SX25KMwIikhwCEi6z3YgWHuuDRVKJZqwGLC9hP+9eBdvvPR98nP39VtXnF0Ekp+HcE4tXc3ivGB0QvrArykiAcHHD4Atrz/K335+Me+89jMqbM4ew8Xc1QpA8qTZA24zffYqLDIZ2JaLauvz+Ojtp2hqHHx+tSNX3Lf/xCB05i7kZvH+Ot3mYgIQNXES/mFhmHQ6Xrj+Ghq2FGJuUiDXGnnt12t49lerOVH1FSBGy1jN3tOQLSEhMf4Yfy2kEv2iVCocFut5XmJH9+WXYo7d4kXpREb0zaNTKOR8794VxMWF0drazYcfHez1uCAI/N+/t/Db331IbW3rkMfLzavi4Uf+48hUlZAYDHscjOZcEYhGjAkYjgjEYDDx5C/fpaa2lbq6Nt7/YD8/uv9VfvbQm1itAmuvmsu6q+e5pvghiIgI4vrrFhIc7MdPHljDq//+IcuWihf53iYCaW/XOm68vXHR3O4EUlHZRHu751oI2r9XMjPGjwgk0QNFII1NHRQV14r2qvMH7njwduzvI3dOmhkMJl57XexM+d69K4iM9J7u1pFiFyXU5PVk+qoC1QRMtLmBnBhdJJJZN3Q8idViYdcr/wfAou/cSkRyyqiO6cnEZfYdb4WPksA00Q2kfZTjPZw4GEEQ2PnvlwGYs+5aRzeXhMR4IMjDRSCCILBrlzjRvXSp6z578XFhKBRy9HoTTV66CDjW7N+Xh9FoJjEhnLTUgbtYR8PKFTN47ZUfkZISSVNTBw/85HXHvIe3Yo/HCPM2EUiy3S3HO0UgO3acAmDWzJRxcZ2ali7OVxYUeO58Q5VNmBDvBe4U9vdEU6P3nf+1WoPjeyshwTtFIGm2+ffSsgaviP+yO8Y4MwYtONiPx35+HRNSojCZLOzbn89vf/chN9/yDNu2n3SqQHXJVXeI/zDKkFnA3FTNqW9e5/knLmXfrneGtY+aMvGc6hMcOeh2K6/6EX6J6VhkMhSCgL7mLEc+fZZ/PHHpsJ0tupvEOSa/8MFjpdbe9AShcXOJDpqOIFjJL9nArrd+zXO/voLyspO9tlVqNKz9xRNEp6YhWCycPXKYr/78R9q312BuVhCTmIlfQgByjQKLzoyutnfjweprfw6ITRgKwUhr4TG++r+f8NKfbqDFJu6wE5kyAblSiVGrpaOhHhCbwy3d4ud2wuT+43TsLL/+EYSAYARArtdSd3I3HzxzJ6+/cC867dDnrKamKhQWCwAZU5cOuJ1SqWb25fditYrNETK5kfIjX/Hm76/l/f/+ArO5bzOxudtEd5lYQ1BmGPm2OB2LTE5MbKpjO5lczlWPPU7clKkIViu1Z3IxV6ow5GqwNiiwtDaRs/9fdBsaEcxWxz4lJCQk3IEkArmAyLApkd3dWTscTCYzX2/KBuDqQRbCVSol9353BQDvvLun12Tfhvf387+3drH5m+PcdsdzvP/B/gEvvo/nlPKTn7zGwUOFvPTSJue9EAkHZrOFDe/v47PPDju6hewYDCb27cvjzf/soK1tdB2wY4XRlpWo6scJRK8f2pXm2ee+JD+/mqAgX5765U1cecVsAm0q8PS0OB5+aJ1bu6Af/OlaNn31S265+WIUCjnpaWJnfn5BtVd1Ex45WoQgCEycGO30XO+xIDjYz9H9cvqMZ7qBmM0WCmziILuDw3jAPu5V1c0eM3Fz2BYFk5ERT2jo4Bad3kymB1yvfPLpYZqaOoiODuH66xa5rY6xIM7hBJLf6/wePEOc4NZWdGJsPf+OLbsoQTmIKOH0lm9oLi/HNyiIxbfeft7H8gbsopuGkmLMhp5xDZ4WBnIZ+not+vrzF/0NJ36n+MABqs+cQanRcMk93z3vY0lIeCJ2J5COTs8Uz+bmVlHf0I6fr9oR2eoKlEoFcbGiuKzCgwStnsw226L6ihUzXHofNnFiNK+98iNWr5qJxWLlX//+xmXHGgscTiDh3nVtmmR3AvFSEci27eMjCsaOfb6hsLB6iC3dR48TyOALt56A3QmkwQtFIPZxDg72c0S8eRuxsaGo1UqMRjO1dUM3JbobuxNIjBOdQACuXjuPd95+kLf/91O+e89lxMWG0tLSxa9+vYFHHv3vsBo2h4N/cAj+YeLnctby+whImYpFLkdhNnH4k2d48Q/XDun+0FpfBkB47KRBt/P1CeCHj77Hz/62n/nXPohP7ESsMpDru/nm9Ud59bm76epqG3Qfli7xHjAieXCH/MioZNYt/S0A3T5NGIPUCIDQ3sQH/7ibd994pJeQYcqKlXzvjf/ww3ffZ/l9PyA8KQnMYK5QUfPVSZqryvGfIAo2u0t6nxtiI8VrUoVaTeqyG5EFi3MBhtpSXvvdNXz5yV8dDiRypZKwBNGdpLFMHLfamkJHnE761IsZjPmLruWRP+7ktsc/JHH+lQh+gciAtuLjvPjLVezd9fagzy+0OZRYFApCw+IG3XbVmh+Rln4pAEHJE7GoNcgFqMrawrNPrOgj3OnIbwUBfKL90IT7UF4sCnUV/kF94phTL1rCPf9+lfs/+JgVP/oxUZNTwSrDXK3CWh6C2aCgslWs9fQ32ygvPTForRISEhKuwqtEIH/605+QyWQ8+OCDAJhMJh577DGmT5+Ov78/cXFx3HnnndTU9FaOL1++HJlM1uvnlltuccMrcC/2ztq8PM+9qbKz/0A+ra3dhIcHctHigW3EAFavmsmElCg6O3W8/4Fo33Y8p5SX/7UZEBfy9HoTz7/wFff/+DWqazp7LXIcPVrMQw//B60tTqagsMaxoCnhHIxGM0/96j1eePFr/vr3z1l37Z/54Y/+zX//t4unfvUeV639Az//xVu8+to2/vnyZneXOyyMJnGR5dw4GI1DBDK4E8iXXx5j4xdHkclkPP2bW7jyitk89cub+OrLJ3n13z/kpZfuQ6MZ3Mbd1Xx74nPy5BgUCjmtrd00fUvE48kcsi2aL17kfS4gdjw9Eqa0tAGDwYS/v8Zr7Vr7IyoqGLVaiclkcUyKuJvs46JluCsXjTyBzAxxEri6uoWOjrFfxOvWGnjr7V0AfPeey3qd570BQRAw6gw9P3ojFpMFo97Y+/e2n5C4ROQqDbrObhrOljl+jwZ8EvwBaNxXg65V2+/zB/sxaPUOUYJVbu13G11nN7veeAMBOfNv+g4yuXLEx/GmH9/gMHyDQrFYBKrO5Dl+b5Vb8ZsgLqA1HahF29R9Xvs3d4vXIIKi//E2dOvZ8corCMiZc831qP0C3D4mw/3xJhGqhPvwdCeQHTtFocGSJRkuv963R8J4SxysO+ns1HHYFiG5YoXrozX8/DQ8/NA6AFpbu11ijz9W2J1AvC0Oxu76Z3d38CYqK5vIL6hGoZCzfNlUd5fjFDIy7HGQnjtfWW17ryR4hROIKAKpr2/rNzrCk6mqFMc50YvnFhQKuaP+8jLPF5rVu8AJ5FwmTozme/eu5N13fsa9312BSqXg4KFCbrvjOXbuGlkMyEDYnSSjApL5wUNvcd+vv8Q3fjICYKyv4I3fX8fRQ58N+Hxjh+3zPWHmsI6nUvuw9LI7uf/xj/jOI+8gD41GBnScPcnLv1rN2ZLsfp9nMOoRDOJncuK0hYMew2Kw0FUi/m0mXzqPn/7qS676/nNY/QKQA7U5O3j2ictoba3r9bywxESW3HkXK556EGW8CeQCTUWlvHbPXdTWi+PdXd6B1dRzbtB1iMfxCw7mmpue4KHfbWXJzY9jUalRWK0U7NrA80+vwWTUAxCRnAxAs00EUmATZlhVavz8hvc+io2dxPo7/sBDf9zJ1FV3O4Q7Rz75B//3zG0DPq/8rDi2qsDQYR2no6EBgMuu/SEP/3kvifOvxCqTOYQ77/3n52LtZiudBW0ABE0R991QJV4bBkYM3PAWEhvLou/cyvdef5MrH/05moAATK16LPlqaprFObwo3ww+f/GnbPnqpWHVLCEhIeFMvGZW++jRo7zyyivMmNGjctdqtWRnZ/PUU08xc+ZMWltbefDBB1m3bh3HjvW21Lzvvvv47W9/6/h/X1/vVBOPhilTRBFIYVENJpMZlcpz//xffJkFwJor5wyZk6xQyPne91by5C/fZcOGfSxfNpWnfvUeFouV1atn8atf3sjGL47xz5c3kZdfTV5+NVu3PcvyZdNISAjnxZe+xmg0s3hRGkqVgr178/jyy2Ok2yZlJIaPxWLFbLb0mtA0GEw8/sQ7HDpciFqtZOKEaPILqjlxspwTJ8sd24WG+tPa2s32HSd58KdX4e8/eDaiu+k/DkZ83YPFwRQUVPP3f2wExIiBcxdzlUoFU6cmuqLcUaPRqEhOjuTs2XoKC2r6jWjyNMxmC4dsk7mLvFkEMjWRrzdle6wTiN2tISMjvo8y3ptRKOTEx4dRWtpARWUTcXHu7/gqKhYzsu0Zw+OVoCA/EhLCqapqJi+/esxFLx98sJ+2Ni2JCeFcecXAGbOeiklv5LdXPdnn99kvHxjkWXNBBS/e989evw0NCWXdleugSU/Ju7ns2ruLuoa6/nfRDyqVijtvuROAv9z6Oyw229a+pIAqhW/+d4pv/ndq2Pv3XjJBBa890rvLKcA/gGuvuhbaoPyjQvbs30NldeWI9nzPbfcgl8t54f89g1Y7kIgqElSR7P60nN2f9n2veCq/+uoPqH017i5jUJ555hm+/vpr8vPz8fX15aKLLuIvf/kL6ek9onZBEHj66ad55ZVXaG1tZeHChfzzn/9k6tSehTyDwcAjjzzCe++9h06nY8WKFbz88sskJPSc/1tbW/nJT37Cxo3ideW6det48cUXCQkJGbPX64kEOkQgejdX0hdBEByLHZdd6nqhgbgAVSA5gQyDvfvyMJksTEiJYtLEmDE5ZmCgL4EBPnR26amrax2z4zqb5haxQSDMy5xAomyL5N4Yl2F3AZk3d9K4cQe0x1fX1rbS1tZNSIi/myvqS3V1CwAJ8Z4vAklKjMDXV01Xl56i4jrH+HoDlTaxTaIXiG0GIyU5kpKSOsrKG1iyJMPd5QyIVmtwCGejo13rnqtWi27eK1ZM529/+5zjOaW88MJXLFs6ZdRzSeHJyZQfz6apvAyA0NAYfvTYBxw99Ck7P/orCqOB3Z8/x/xF1/Z5bldnC3KzOI+bMfWSER87ITGTnz29iS1f/ZOcbf9BYTaz6cM/cv8vPuqzbWHefjCKTXepMy8adL/dpR0IZgF1qAafGD8AMqctJe33O/j0/acpPfI1cr2Wrz/+C7d979k+zy8pOoIyygKRKpJ9FlNy6CDf/Ptv3Hzvy5g7TWgrOgmYJP7NdR3id6FvUM97YNGSm5g590ref+NRGvMPQ2sDO7e+zuqr7ic8JQV24xjvqjLR5UITPHLxllwu54qrf8LCi9ez4ZWf0l1dRHd5Hnmn95A5rW/cS3NNMQDBkcnD2n9HvRhZExwdjUKpZP0df6D60jv48NWfYWmtpyp7Gx3XNSJv0WA1WFD4K/FLsjmmtNQgA6ITM4c8jkwuZ866a0m96GK2vvg8eTu205BVgGWeEYVOTVLoYnK2/Y+VV/5oXM2dSkhIeD5eccbp6uritttu49VXXyU0tEflFxwczNatW1m/fj3p6eksWrSIF198kaysLCoqei+W+fn5ERMT4/gJDva+WIDREh8XRlCQLyaThZKSeneXMyD19W2OLpy1V80d1nOWL5tKelocWp2R+37wf7S0dDFpUgyPPXotcrmca69ZwLtvP8jqVTNRqeTU17fz/gf7eeYfGzEazSxbOoU//fF2brhetHz/ZkvOoAv5En0xGEz88P5XWLn6aX76szf47LPDVFU38/Cj/+XQ4UI0GhV/+8udvPH6/Xzy0c958KdrWXrJFG6/bSmvvfojvvj8cZKTI9HrTWzddnLoA7oZuwhE3SsORg0M7ARisVh56tcbMBrNLLkog7vuXO7yOp2JfeKgwIMtWs/l+PFSWlu7CQryZeaMFHeXc97YnUDycqs8JpbkXPLyRBGI3W1qPGF3Nqn0gMUTo9FMWZnYwTB5smty6j0JuxuI/f01VnR06Hhvg9jFcu+9K4cUoo53Wtta2bhpI61trfj7+XPlqiuZNX3WsG3y/XzFySqDwTCIAETCTld3F59//TmNzY34aHxYfdlq5s+ZP+zx9vHxQS6XIwgCOp1nuiCMd/bv38/999/PoUOH2Lp1K2azmdWrV9Pd3RN3+Ne//pV//OMfvPTSSxw9epSYmBhWrVpFZ2eP09qDDz7Ip59+yoYNG9i3bx9dXV2sXbu21+fo1ltvJScnh82bN7N582ZycnK44447xvT1eiKOOBg3OEkNRV5+NXV1bfj6qsdEoJzsQdcxns5226L6WLiAnEusTWRcV9s2psd1FhaL1RHnGhHuXU4gkZHinGBnl35Yca6egiAIbNs2vqJgQDx32xf98ws8b77BYDA53BLivSAORqVSMneOGDVhn1/1FuzfWd7guDIYycli5FSZhzuBNNje1wEBPmPWjJeSHMU/nrkbPz8N9Q3tnDkzMtF7f9idQOyiBDvzF13H+h/9S/yf7g5qa4r6PDc/dy8ywCKXEx0zeBzMYKy+6n4WXf2AeKjaUgzGvoLkohN7QRDv7YKjowfdn75OvJb1SwnsdT+oUCq58bbfkTx3NQA1hUf6fX5NuSg89o+N4ea//I2AiAgMXV0Y1OLfvKu43bGtrl38t29Q74Y/X58A7v7RvwhMFkUQeVmie3fPeIvNna11ouNFaMyEQV/TYISGxvDDx95HbouiOThALIy2VVzTikueNuQ+LSYTXS2isCwoKsrx+/iEDH7y66+wKFXIgV3bXneMt39yIDK5DKvViqAT3c4mpg3u2nIugRERXP/074icMAGr2YxRKQpsEsMuRmExk330i2HvS0JCQsIZuMQKQqFQUFtbS9Q5J1eA5uZmoqKiRjwJfP/993PVVVexcuVKfv/73w+6bXt7OzKZrE8H1DvvvMPbb79NdHQ0V155Jb/+9a8JDBz4JtVgMGA4J6e7w6aINJlMmEzeKw5IT4vj6LESTp8pZ9KkqKGf4Aa++PIoVqvArJkpxMQED3u8v/vdy3jsF287Ygl++5v1KJUyx/NDQvz4+aNXM22qmuCQFA4cKOTo0RIWLUrl4YeuRiYTmDkjiZjoEOrq29i2/QSrVw3PBk4C/vb3zxxxFUePFnP0aLHjMV9fNX/58+3MnJGMyWQiPNyf666dz3XXzndsY7FYuGrNbF7+1xY2fnGUq9Z4dve10SCKQORyHO8xpVLU1Wm1+n7ft6dPV1BV1UyAvw+P/+JaLBbLmC6K2Ws633PYpEniDUp+frVXnAe3bM0BYNnSKQiCFZPJ8wQUwyEhIQwfHxVanZGysnqSkjzLFvVMrnjDnpYa69Hvi/N5/9sn+MrKG9z+2opLarFYrAQE+BAW5uf2elxNWlosW7ed5MyZijF9rW+9vYuuLj0TJ0azbGmGd46zQsbjnz/t+F+TycSOHTu47LLLUKn6jx7I3b6Vb575O3FTpnLz3//R53HBbKXzeCv68m7mzprLxTcsI3D20BPgxno9bXsb8Ivw71WTnWMff8Te118lKDKKu159HaVaPYIX6r2UHjnMZ7/5FaEJidz9ymt9HhcsAl2nWtEVdzFj6gzmX7GIoAXhQ4pBTG1GWrfVIfdR8IvPftPn8TNbt7Dl2WfwDQzinjf+g8bf87psB0UhG/FncrTXPiM9zieffELQOZOnb775JlFRUWRlZbF06VIEQeC5557jySef5Prrrwfgv//9L9HR0bz77rv84Ac/oL29nddff5233nqLlStXAvD222+TmJjItm3buPzyy8nLy2Pz5s0cOnSIhQvFSclXX32VxYsXU1BQ0Mt55EIjKEgUn3liHMxOWxTMRYvTxyT6UYqDGR7t7VqO2O5dV6wY20X12JgQCgtrqK1rHdPjOovW1i6sVgG5XEZwsHd9p/j7a/DxUaHXm2hq6vSaBefy8kZKyxpQqRQsWzo+omDsZGTEU1nVTH5+NYsWepaTZ02N6ALi76/xSJeS/li0KI19+/M5eKiQO+9Y7u5yhk1llfid5e1RsxNSxDn3svIGN1cyOHW26Nvo6JAxPa5Go+KSSzL55psctm0/yfTpw3N1GIiIFFF80FxW3uexlImzsPr4I9d3s2fr69x81597PV5WLLrJK/xH3zC8+OL1HPr8BRSClYO732X5qu/2ery2OBcAmY8ChXLwZTl9gyhK8Iny6/fxS1Z9j3eOfYNcr6Ok6CiTUuf3ery9QRyL8NhJyORyMi+9jKMffkDRqR1kxK1FV9uNWWtC6ac6xwmkf9fnuUtuYk/5bzE2VdPV1UZESgoAzeVlCIKAob0JBRCfPPrrqEkzLqV470c0nT2B1Wrt5ZphMuqRGcRr/Enpi4bcV2djIwgCCrUav5De8TFyuZyICTNoLcqiOGcHc5XrgZ7xrig7iVwQEIC09MUjfh2Zl62k8fVXOXN0E/My7yDMbyKBmjiy9n3IvIXXjHh/EhISEueLS0QgA+U1GwwG1COc3N2wYQPZ2dkcPXp0yG31ej2/+MUvuPXWW3tNvt12221MmDCBmJgYTp8+zeOPP86JEyfYunXrgPv605/+xNNP952s3rJlC35+/X/5egNKpfhFuXXbYVRKz1MjC4LAx5+IFmIJ8Qq+/vrrET03OTmIiooOLl+VxMmThznZj6GESiVH213BrJk+zJop3jRv2fKN4/HJk/2pq2/jf29txWzyvA4Ed6HVmiguaaO5WUdmZjgx0T03vidONrD5m1JkMlhzxUS6uk0UFrVQW9uNj4+CG69PpbrqDNVVZwY9hlxmQi6XkZ9fzX/+8xFRA1zoegJanajoPnBgH7m5olq+vLwGgJKSsn7fuzt3iSKZpCR/9u7dOUaV9mWwc99gtDSLNwUnT50d0WfTHZjNVrZtF88lAf5aj693KEJD1dTWmvjwo01kZnjOBKXJZKWkRIyGqK0t4Ouvy9xb0DAYyfu/tVWcsDl+vICvvx5eJ76rOHVa/M4ODVWxadMmt9YyFrS1ih3xJ06M3fmmu9vEBx/mADBrRhCbN28ek+OOBQqVgt17dw/4uL6lGRlW6grz2LptC7IB7ElD/YNI7I5BV9JFfn0h7equQY8bYggkiVjadO0c35Hb6zGL0UDhu/9DhpWgObPZtW/PyF+Yl2Lu7kaGlbaqcr7Z9BUKTf8RJ0EBASR3xWKo1HK8uZQWn/Z+t7MTaPRjAglozVq27djW6zGrxULR668iw0rw7FnsPXzQaa/HGzjfa5/hMlD0Trutqy4sTBRNlZaWUldXx+rVqx3baDQali1bxoEDB/jBD35AVlYWJpOp1zZxcXFMmzaNAwcOcPnll3Pw4EGCg4MdAhCARYsWERwczIEDB/oVgYzXJodv4+srTnF0dxvQ6fUoFZ7h6CQIAjt2ih2ZS5dmOnXMBxI7xcaEAFBb04pWq/PoOFh3smPnSSwWK5MnxRAXGzKmn4eoKHHBqaqqySs/h/UNbQCEhPhjtVqwWsfW9Wu0Qr+IiCCqqpqpq2shOtrz406hx5UzLS0OjUbhle+bgUhNFUXguXmVHve6ym0L+fFxYZjNZjdXIzLU+3/eXNEJ5PSpClpbOwkI8OzIZTuVlWLXfswYn4+dTXyCeO1XXtaI0WgctrPfWFNbKwqcoiKDxny8ly+bwjff5LBj52l++P9Wo1D03IM2NLSTm1fFsqVT+h27b7//g+NFJ9HWmmp03d19mgti0+ZTf3IXFbkH+rzO+qoCAALC40c/BjIF/rET0NeUcOrIRpYs7+3S110nulhogvwHPZa524Sl2wwykIco+902IiIJAoKhq5192/5DUsqsXo+bOlsdwgyTyUTa0mUc/fADTu3ezPQfX4+p2UjDrmo0Mb5Y2+QEBkWjDgjo91gzZl/Jzvf/gMJiYffW17l01Q9AJkPX0UFdxVnkJtFRa3LawlGP4ZLld1G49yMUZhMnjm9h2owVjscK8g4iB6xAYtKMIY/VUiPO0wdFRfV77p53yS1sLcpC3tmFsUW8T1KEqTCZTOSf2QuAVa1BrlCN+HWlLV3GntdfpfjwXhYvuxdTvZE5SfdR23WKptM1VObnkHnFMhSakTfCjHWjg4SEhHfj1FmAF154AQCZTMZrr71GQEBPNqXFYmHPnj1kZAw/B6+yspKf/vSnbNmyBR+fwS9WTSYTt9xyC1arlZdffrnXY/fdd5/j39OmTSM1NZV58+aRnZ3NnDlz+t3f448/zkMPPeT4/46ODhITE1m9enUvgYm3ERSUz8FD79HdLWfNmjXuLqcPG784Rnu7gYAAH37yk++MuENq5arVdHboiIjo/29kMpnYunUrq1atGrAbdt68dvYfeJbKyk5mzFjoNR0hrsBisfL1pmy27zjNiRNlWK2iwCsrq56bblrMPXcvp6y8kX889zoA37t3Bbff1pPX19zciVKpIDh4+GKOU2f07N79/9k77/CoqvyNf6an915IgAQSCE16BykKAnYs2BXdta1l1/pT19VVd9W161pYGypWVBQQkCa9tyT0dNLbJJPJ9N8fd2ZCIAkBps/9PE8eJblzz5mTkzv3nvN+3zcPdVMQt9zieXPUxiuvCsK06dOn2udbi3YL69aXEBsbf9rfl8Vi4Yuv3gJg7twpTJ7k+qqd7sz/rtBoWvlyUT5qtZ4xYycS4cHVXhs3HkSn2050dCjz589t9zDpjeTmGfnl152EhSUyc+ZUd3fHzoHcEiyW7URGBnPNNZd57MIGnNv8T0ktYtnyAlpbJW7/zDxesBw4zojh/dzeF1eg1epZ9PVBmjUGhg8fR2ys8++9Fv+4DYNhF337JHH//fM8ej6fDd2Z+xazmTe+/gp9SwvDs7OJ6925DW7j7hqachtI16UQPyUVeWjbOU0tRowaA8qYACQSCU259TTuriU+NYHsse3d1fLXrCZfqyUiKZnr/vpXpDL/2pw88cN3qCsrGJieRtqQjp9HAJry6mncVUtKawIXTB6GMrJNMGJqNWFU61HGCuOtOaqmfksVkfFRzLywvT1u4c4d5KkbCYqM5PrHHkdxhmcrX+F87326i01QcTIWi4WHHnqIcePGkZMj/D4qKgThZPwp9s/x8fEUWe2UKyoqUCqV7WJQbcfYXl9RUXGa6yZAXFyc/ZhT8dUih1M5OTrvx8W/EBTkfMeN7lBRoaG8vB65XEpD/XGWLj29UvV8OVXsZLFYUCikGAxmFn39E9FRgQ5v0xf45tt8AJKS5C4XjtfVCX+ve/YcZOlS73MtPHa8AQC53OxW0f25Cv0kEmHTauWq9ZSV5Z3haM9gy1ZhQ8ti9v5Ch1NpqBc+S10pAu8u27aXAyCV6jyub13N/6ioAOrqWvnww+/o29fzY2x0OqM9Yio3dwdHj3iGkPNcMBrNSCTQrGnl229/IiTEMx0PN24U4le12gaXz22TyYxKJaO2tomPPvqG1NS2Z/4lvxwlL7+WoUMTmHph5y4htvlvsViQKpWY9Xp+/uorAmJj2x0nUWUAa5Fqm/nm648ICRXirs1mM+qKIpSAzhzkkDGQh/YBjqGtLGbJzz8ikwu/e72+GVOTFpBjCQjssq1wXQhpJNEibWX5ys6LU+Th6Zia93LiyI5251M3liIzCaKHE1VGli5dKtwXhoZhaFKTV7SdzJBB6Cq16Cq1xEqymH3VCxTVHGDpr0uho6WQsESoL2Xf1l8wSjNQhIVhaGzkuwUvC3E6Egm79hxjz76Ccxi19hgDw1Bq1axc8j7FpW0i9uP5i4WfK1T8tmLFGc/TkCcUo+qlnRcaG2RyYoN6W48z8Nta4bwHd65ADpgVwec8LwLi4mitqmJ37hpyYsYSHdKH6JA+NG1vJIKebH97GXXZ5/6s4q5CBxEREe/Coautr732GiB88P73v/9FdlLVjVKpJD09nf/+97/dPt/OnTupqqpi6NCh9u/ZxCRvv/02Op0OmUxQvs+dO5eCggJWr159RpHGBRdcgEKh4MiRI52KQFQqFaoOqvIUCoVTFxCdTY7VXq2wsAqj0UJgoOfchNbVNfHBB8KH1+23TSEk5OwXIxUKBSHBZ35dV7/H5OQYRo3MZPOWwyz/bS9//tNFZ90PX+HTz1bxv49X2//dp08S0dGhbN58iEVfb2T9H/mYjCYMBhPjxmVz802T29m0JSSc/UPmpXNGsG5dHitW7uPee2a6xCr5bDEaTZjMwiJdcHCgfS7Z8jP1euNp86uwsIrS0loUChljx2a79TpyrtexiAgFqSnRlJTWUlBQzYjhEY7vnINYs1a40Z86ZSABAR1XWHsTffokwa87OV5Q5VGfQUeOCAvX2dkpZ+305S7OZv737JkAQGVlI2Yzbr0eHS8QKkb69kn2qDngLBQKBT17xnH0WAVHjlaSlOR8QeaxY8IYjx7d12vm89lwprmfmJVF0a5dVB89QnIXou3oYQnoq3XoqrTUbawkaWY6AI25tTTsqcFishAxJJbIwTFYdIJ4VBGsPK3tmmOC9X6vESNQBfjfxmRSdjbqygqqjxwhY0TnGcORA2PRV7WiLdVQv6GSpNk9kcgkNB2sp25XNRaDmbB+kUSNiLePtzz49N91zbFjAKQNuYCgLiIxfRVnP8N1dO57772Xffv2sWHDhtN+dqrIzGKxnFF4duoxHR3f1Xl8tcihI955by9arZ5Ro8Z5jKD/gw+F59yxY7O47LLZDj13V2KnxT+VcORIOWlp/ZgwPtuh7foCRpOJ197YCcDtt19GelrsGV7hWMLDD/L76iIgwCtFvkuX7QYOkZ6e5Jb+n6/Qb+euFkpK9pOS0puZM8c6oYeOJy//Z6CEYcNymDnzQnd3x6G0tOj46uuDNDXpGTlqPNFRnnO/cvDQL0Axw4b195iijO7M/2PHJXz3/RYMplCvuMYUFVcDOwkJDuByB39WuoNF3xyjrKyO3r0HMtTqzOJp7N2/GChj+PABzJw54YzHO5rcPCPLlu+mRRtin6P5+aXk5W9FIpFw1/xL6ds36bTXdTT/65b+Qnl+Hv3SUsmadPr18fUDi5Bqm0F3lJnX3AHA0h9fQWkyYAauuOYh4hN6nvd7Mhqn8tbjvyEzmwkJrGHyNKGtz9+/B6v2kP7DxzG1i7/Jhu3VNB9qJC4jnj7Dczo9rmbEAL548SqURgN9ekeT0Vd4rnz3RSF20hIcxpVX3mA/PqikmO3fLKKp+gDRsy/GUK9HU15P1YFjRMWkkRaTQ1BkKJGj4pBI2z9TJCdKWbfwGeQtjYwfN5KWP9ZxfOsWNIX7UURAUEI6s2bNOpchOw2J4SBH1n8N6jIuvvhipFIpzc11HFrznOBu0md4t65pWxrqKAV6Zmd3enxd6TKiG1MACO8Rycxx2ZQUHeDw74Lz1qDRc5g649yun1sa6ln/0Qc0lu0l5pqrWf/9hwTqgwkhhbDwRGIzkhk1c9hZn9edhQ4iIiLeh0NFIAUFgtJv8uTJ/PDDD6dVL50tU6ZMYf/+/e2+d+utt5KVlcWjjz7aTgBy5MgR1qxZQ3T0mRd5cnNzMRgMJCYmnlf/vJHYmDBiY8OorlZz6HAZgwed/82No3jzraU0NbfSt08SV1159llrjmT27GFs3nKYpct2Mf+Oqcjl3qs+P1cKi6r47HPBOv6mGycxe9YwkpMFUcfGjQd5+dWf7LmoyclRPPXkVe0EIOfK8GEZxMdHUFnZwLr1eUyfNujML3Ixen2bhZxS2XYZDbBuELe2nm6Xtv4PobJo2NDeBAd5ryihT98kSkprOXToBCOGZ7q7Ox2i1er5Y4NQ0TdtqmtzvZ1FRoYgRjh6tOPqXnex/4BQxdovO8XNPXEOkRHBhIQE0NzcSllZHb16xZ/5RU7AYrHYf/cZGf5z75KdncLRYxXkW21gnc2hw0JlZd8+py8y+QNJWdkU7drFiYP5DJ7V+aKrRCohbmIyZT8dR1/TSvX6MvT1OgyNevsxDburkcolmFqEz0NZ0OmPHBWHDwOQ0Of02Ap/ICkrm4Nr13DiYH6Xx0kkEmLHJ1H2UwGGRj3V68owagx2u1oAdV49ErkUs16w4Zd34HxQcViwOU7o08eB70KkM+677z5+/vln1q9fT0pK22dkQoLweV5RUdHuWbSqqsruDpKQkIBer6e+vr7d83RVVRVjxoyxH1NZWXlau9XV1ae5jNjw1SKHjggLC0Kr1aPVGjzivVksFtauE54Fplw40Gl96uh3mdU3mSNHyjlypJwpF/rGfbEjKS6pRa83EhSkonevBIc8z54NqamC6KSissEj5urZ0tgoVIjGxIR5ZZFDXFwEAHX1Gq8Z/4pKIWYsJSXGa/rcXcLDFaSlxVBYWM2xY1UkxHuOc0V5RQMAPVJjPW7cu5r/Y8Zk8d33W9i27ShyudzjnQ6bm4X724jIYI8b53OhZ3ocZWV1lJbVMWqUZz7zVFcLm7yJiVFuGfNpUwexbPlu1q3P46EH5yCTSXnnPSGyfcbFQ8jJ6dwFBNrP/9j0dMrz86gvLe3wvaRmj6Zs10pOHN6GQqGgubmBQ5t+QAbE9RtNSqpjnpMUCgWhyZm0lBzi4K7lTJ/5Z0pL8qk9vAOLXuhXdHJKl+OtrxH+FgITQrou5EjshSQsCtR1bF3/Bdk549ixbQnGmjIswJSrHmn3+pxp09j+zSKObd7E7MdVhKVHsGrRyxzdtJGRF99E7+SJtBxvQmKG2AnJSGRt14wLhl3C6kXPITMa2bTuc2J79uT41i3QbMAcAVfc9ILD5tCk6bdzaP3XyIxG8g78zpChM/nxy6eRmc2YZHKuvvH5brXVXF0DQERCYqfHj516M3XLSwAwh+hRKBQs+fJppIAlKJSLZt17zveHOdOmsf6jDyjevRtpqImA7FC2vvc/zHUykvvncNM7/0V6Hs7V7ih0EBER8T6c8oS7Zs0aIiMj0ev1HDp06JzzEkNDQ8nJyWn3FRwcTHR0NDk5ORiNRq666ip27NjBF198gclkoqKigoqKCvR6YSH62LFj/OMf/2DHjh0UFhaydOlSrr76aoYMGcLYsd6h9Hc02VnCQmR+fpmbe9LG1m1HWLFyL1KphEcfudzt0Q1jx2QRERFMbW0TS5ftcmtf3IHFYuHll3/CaDQxZkxf7rpzml0AAkIF2xef/4WrrxpNdnYKL71wA6GhjqnilcmkXDJTcOhZ8st2h5zT0ZwsAjk5W1sVIFSOt+o6EIGsFxZ+x493/kamM+nbR8jZPGzdLPVENm46SGurgaSkKLJ9RJyQ0VvYKKqqakSt9gw7vubmVjZsOAjAcA8VBJ0vEomE1NQYAEpKatzWj5oaNY2NLUilEnr2PN3+31fJzhKuN/n5pU5vS683cvy4sKHap4NKI38gMUuoED+Rd2Y7dHmIgpjxwjhpCpswNOqRBsiIGZ9ExBBhQ6tuexUtZYKds/wUEYjFYjlJlOCZC6LOJjHbOt75Zx5vWYCc2InJIIGWEiGvWKqUEj06gehRwoZ/475amo8Ji7ii6MZ9WCwW7r33Xn744QdWr15Nz57tBfc9e/YkISGhnXWvXq9n3bp1doHH0KFDUSgU7Y4pLy/nwIED9mNGjx5NY2Mj27Ztsx+zdetWGhsb7cf4M2HW5xK1WuvmnggcPlJOWVkdSqWcMaNd+zfYr18qIET4iZzO4UPCM01mZqLLBSAACQkRgDBXNZpWl7d/vtTWNgEQE+05jg1ngy1usKbaeypdy8vrAUhKPL+iO08lq6/w/H7woOesVwKUltYCkOwh7lLdZcjgniiVcqqr1XZnSU/GFgUTEeG50cNnQ1qa8OxeWFjl5p50TqVVWBYfH+GW9ocN6014eBD19Rr27Cng99X72b+/mIAABXfdNd1+nPpgPTWbKzC2nL7eaiMmLR2A2sLCDn8+YdptWACpVkNRwV6+//wJZCYTJpmMq296wYHvCoaMvQoAXXUJ2hY1P3z6mCAqMApFpmHxCZ2+1mwwo68T7gkC4s681t5rwEQAqo7twWw2s+b7lwFQxfdgyND2DhaJfbOISErC0NrK0c2bKNixnaObNiKVyRhy4wziJiWDVHjGr1xdgsUaCw8glUqJShdcSY7s/Z2QBGF+W1olxPUbTVKy4+5xw8JiUEQJY7R9/deUluRTc0jYI8iZeC2BQd1zMWysFIqpwjoRyQNkZo4iKjgDgD2HfmLH1p/aRDRXP3pe94eRSckkZmdjMZs5uHYtGUkjMdcJcyB+fPZ5CUBEREREuotTrjRarZbbb7+doKAg+vfvT3FxMQD3338/L730ksPaKS0t5eeff6a0tJTBgweTmJho/9q0aRMgxND8/vvvXHTRRfTt25f777+f6dOns2rVqnZxNf6EbVPUFZsq3UGnM/DyKz8BcOUVo8iybvq4E4VCzhWXCxZq/375R5b/ttvNPXItS5ftYveeAgICFDz84JwOqwWCgwN48IHZLPjwbnr37vzm9Vy45JKhSCQSdu48TmlZrUPP7QhsIhCZTNpOsKRSCZsuulOcQKpr1OTllyKRSBg/zrttmPv0EcQIhzxYBLJy1V5AiILx9EqX7hISEkCidaHvyNFyN/dGYNWqveh0Bnqmx5HTP9Xd3XEaNhFIsRtFIEesLiA9esR4ZESWs7Ddrxw8WIrFYjnD0edHQUElRqOJsLBAEty0AOZukqyihOrjxzDqdGc4GoJ7hBIxKBqkEJoVScoVvQnNCCdycAzhA4UFcotBiE47VZSgrqxAq1YjlcuJ7ek5rnSuJLFvFkgkqCsr0dTXnfH4wIQgoobFgRRCeoeTckVvwrIiCcuOImq4dQHONt6B7cdbp9FQVypsACdkik4gzuThhx9m4cKFfPnll4SGhtoLFLRaQYwgkUh44IEHeOGFF1i8eDEHDhzglltuISgoiOuvvx6A8PBwbr/9dh5++GF+//13du/ezQ033MCAAQOYOlWwoM/Ozubiiy9m/vz5bNmyhS1btjB//nxmzZpF376i0Cc0VIhoVDd5hghk69YjAIwcmUmQix0BbfdoB/NLMZnMLm3bG3C3C1hwcABhYcIGj21z35uwiUCiPCi242yIjbGKQGq8QwRiMpmpsDpSJCV5jkuGI7GtB3qSCMRgMFJRIfx9ekrEWHdRqRQMvUCIIdmy5bCbe3NmGup9SwRiK+AoLKp2c086xmKxUFVlFYHEhbulD3K5jIkT+gNCxNi77y0H4IZ5E+zXaAB1fh1NB+vR13f+nBqTLjxX1hQVdfjzpOS+ECycc/kPL1OVvwWAfuOvJijIse9/+IhLMclkSC3w1YKHMFQJz2JKaQgAYXGdF/foqrVgAVmwHHnImdd/Jk27HTMgM+j45J27kGqbhXibm0/fg5NIJPS7UHieyF25glVvvQnA0MuvILpHGsHpYcRPTUUik6At1dBS3NTu9SMnzgPAWF/Fzt3fA2BulTpcRAOQdcFFADQU59lFNOagEC6e80C3z9FUJQiwuhpvfYMOhSwQg0lLft4vrPnhFaBjEc250O/CKQDkrf6ddR+8D4A00kRB6ebzPreIiIhId3BoHIyNxx57jL1797J27Vouvvhi+/enTp3KM888w2OPPXbO5167dq39/9PT08+4KZCamsq6devOuT1fJDvbWll70DNEIJ98uoYTJ+qIjQ3jzvnT3N0dO7feciFVVY388utOnnv+O3Q6I5fOGe7ubjmdhgYNb7+zDIDbb5ti33h2JYkJkYwckcmWrYf54ov1PPrI5S7vQ1foDYIIRKVsfwkNCLDFwejbfX+DNZqkf/9Uor20SspGn0xhgbS0tJbm5lZCQgLc3KP2NDVp7YsbvhIFYyMjI4Hy8nqOHq1g6AW93d0dfv5lBwCzZg3zGbFNR/RIFRb63OkEctQq/LE5wvgLvXsnoFTKaWpupbS01i7IcQZtm0DJPj2fuyIsPoHgyEg09fVUHj1Ccv/Os4dtRF4QR8Tg2NPygiMviMVitKDOE8QNp4pAyq2uFLE9eyFXKh30DrwLVXAwMT3SqCkq5ER+PpljzuxQGJ4TTVi/qNPGOzwnGrPRQsNuYYFZHtx+vCuPCOMdFh9PUESEY96ASIcsWLAAgEmTJrX7/scff8wtt9wCwCOPPIJWq+Xuu++mvr6ekSNHsmLFCkJD2+4RX3vtNeRyOXPnzkWr1TJlyhQ++eSTdkUMX3zxhb3AAWDOnDm8/fbbzn2DXkJYWBAg3Bd6AkVFwgK0zZHTlaSnxxEUqKRFq6ewqIrevRwr3vd23C0CAeHZV63WUl7R4HWxf7V1zQBER4W4uSfnRox1g7HaS5xAqqvVGI0m5HKZ3cXE17A5AR48VIbFYvGI+/KKigbMZgsqlcIrXW9GjuzD5i2H2bL1MPOun+Du7nRJvdUJJNJHRCDpaYJDYpGHikCamrT2IreYGPddU6ZOGcDPS7bbCzDj4sK5/rrx9p9bLBZkwXIMDXpaa1uQRykwGI2YDCb0rXosRkHkGp6QhAUpNcWltDZrO3RZSMkcS+mu32gqOIgEKaaAYKZedD967ZmLIM6W0MQsNMX51B3aA0iRRyehaW7AghRVSHinbWrKBOGFMlrVrX4FB0YjDYnFoq6l7tBuQEp0n2HERvfs8PWZ4yawceFCDm3YCEBASBgjr7vRfqw8SkFgj2BaCprR1rSgiG8TMGdmjGWpNACZUU9LzXEsBIABTFozeoljx3DUuOvZt+JzpGYL+ooyQMqE2Q9h7MB9uzPUNbVYkBIQFtH5eJcK9wB1mqNY1GokgAkps699ziHzImP0eFa98y5Fe4SCRalcgTxBT1NpIRq1mqDQUI/4rBMREfFdnCIC+fHHH/n6668ZNWpUu4tYv379OHbsmDOaFDkLbPaKZWV1qNUt9kUyd6DXG/lq0QYAHnxgFsHBnrOhLJNJeezRy1GpFHz/wxb+9e/FaLU65l49xi1Wsa7i7XeW0djYQkbvBK6Z677IpJtumsiWrYf55dedzJs3gZRkz6m40OuEhySl6hQRiErYyNLp20dg2aJgJnh5FAwIFRnx8RFUVjZw5Gg5QwZ7VgX3uvV5GAwmevaMc7hDjbvJzEjkjz/yPcIJ5PCRExw8WIZcLuPiiwa7uztOxRPiYI5anUC8bWPgfJHLZWRmJpKbW0J+fqlzRSBWO3ib25E/IpFISMzK5ujmTZzIz++WCAQ4TZBgO1fUiDhkgTLMBjOK0PZCj7YoGP92pUjMzqamqJDyg90TgUDH4w0QMSgamUqKQa1HGd3+ftoeBSO6gDidxsZGwsK6XkSXSCT8/e9/5+9//3unxwQEBPDWW2/x1ltvdXpMVFQUCxcuPNeu+jS2mEpPEYHY3MR6OPFzrDNkMilZWcns2l1Abm6JKAI5CbPZzBGrCMSdUXCJiZEcOnzCK51A6mxOIF64MQ4nxcHUNnmM4KAryssFcW18fLjbI5SdhRDNJKG2tomaGjWxse5xJzgZWxRMSkq0x8+Rjhg9qg+vvwF79xahadER7GJHqrPB9+JgBBFIbW0TTU1ah8VoO4o6q5AvNCQApdIpW0TdYvDgnkRGBlNvdYL5013TCQhoe340tOrZvnIrA/oNYOPn69i6c6v9Z7ve3dT+ZIpRADw/56kuWpzU7l/Pz/6/8+p/58Rbv05CJny9dtN/On3V9Aunk5qcyurvVpH3zzNHhwoMaPevhjz4x49Pdn64dZwAWnXw8rXtXUMG5Qxi2JBh7PpxG+sfWX/Ki0+KnrQalfzr6n92s59ny6R2/1ry1AaWsOEsXt8PFPDePR91esTEsRPJ6JVBWYGBhry29j6a/+nZdbUrThpvAI4K/3nxsn/w9K//RBnouddlERER78cpTw3V1dXEdWCzpNFovPKG2dcICwsk1WphmOfmSJijxyrQ642EhwfZ7d88CalUykMPzrYrkN98aymXXv4vXn7lR7ZtP4LRaHJzDx3LD4u3sHTZLiQSCY/87TLkcvdFJg0e1JORIzIxmcws+N/vbutHR9iU8kple1u+jpxAmptb2bnrOADjx3t3FIwNW6XcYQ+LhLFYLPz6q+BOMW3qIDf3xvFkZAiL9sesggB38ovVBWTC+GwiI72z8q+72DZsioqrnR5J0hlHjwnCn8wM/9u4sUfYOdkS+vARmwjEfZtAnkCiNRKm/GD+eZ9LIpEQMTCGqKGnPxNU2kQJffw7tiIxSxjvE/mOGe+w7CiiRyac9rxVcUQcbxH/wrbJola7XwRisVgoLraKQHq4XgQC0L9/DwBy80rc0r6nUlZWR4tWj1IpJ61HrNv6YXPeLK/wPhFImxOId4pAbC6der3RI64XZ+KEVSjkq1EwAAEBSnr2FDZNnX3/313KTgjim2QvHfeUlGiSkqIwGk3ssq5NeSq+JgIJDg6wi808MRLGJgKJdLObk1wu48LJgoghOzuF6dNOX89TNwluDSc75/kqcbHC83NldaXb+mAb77BQ33SdOpn4OOEzx53jLSIiIuJMnCLzHD58OL/++iv33XcfgH0h8sMPP2T06NHOaFLkLMnOTqGktJb8/FJGjXRfVWC+dSEqOyvFYwVCEomEe+6+mPDwID5fuI7a2iYW/7iNxT9uIz4+gv+8crP9IdWb+WrRBt56eykAN94wkZycHm7uEdx55zS2bjvCihV7uXHeRHr18oxxbhOBtL+EquwikDZrus1bDmE0mkhLi3Xr4qIj6ds3ifV/5Nkr5z2F7TuOsndfEQqFjJkzLnB3dxyOzQWioLDKbgPsDnQ6A7/9tgcQomB8nbS0WKRSCQ0NLdTUNrXLpXUFOp3BvnmUkel/LhU263xnblwZjSa720rfPslOa8cbSLKKEsryultxdG7YnSn83AnENt7l+flOrUBuc14RRSAi/kFYmOc4gTQ2ttj7kZLiHmfDfv1SAcjL84w4WE/BFgWTmZHo1uIHuwjkhHeJQLRaPS0tgk16dLR3isKVSjkREUE0NLRQXd1IeLj7XHK7wwmrGCHJDZG9riSrbzLHjlVw8GCZR7ipnuwE4o1IJBJGj+rD9z9sYcuWQ4wf57nFSQ0NLYDviEAA0tPiqK5WU1hYxQAPWGc9mbp6QQQS5QGRXrffNoWAACWXXzbiNPdtRYCSOY9eSe3aCnr3z2DM3yZjMBr57bffuOiii1DI29Zmf/7ncxxct5aJt89n5DXXdtjWkUNb2bj6E2bPfYroaOcWgezY+jMH963myhueo/LgUb559K/EpKVz24cLOjze0KCnankpErmEuz99sFMXyI5Y/duH1FYVcsV1/0B2hvsanbaFrV9+Sb+pU4lJSz/t5/o6HdUrykhMTeLpX093+fjp25eQKxQoS+TsXvIzI+dew8Q77ux2X7uLyWji24VPkNwjh/EX3nhWr608dpRP/3wXwZFR3PP1tx2fX2uk4qdikMB1/5nHd188wZDRVzBw8FRHdN+O0WBgy5df0HvUKBL7ZrF103dsX/0ZWcNmogjwz3hcERER1+EUEciLL77IxRdfTF5eHkajkTfeeIPc3Fw2b97MunXrnNGkyFnSq1cCsJeSklq39sOm7M/O9uxNF4lEwo03TOTaa8ayc9dx1q3LZd36PCorG7jnvg9547XbyfTizbmPP1nNhx+tAuCmGydy153T3NwjgeysFCZO6Me69Xl8tGAVL/xznru7BIBeL4g8ThWBBKgU1p8bMZvNSKVS1v/hO1EwNmyV8ocOe0ZlDghVlu9/sBKAyy8bSVyc+21jHU1SYqQ90724uMZtoqh163Jpam4lPj6C4cMy3NIHVxIQoCQtLZaCgioOHzrhchHI8YJKzGYLERFBXplBfb4MHJAGQH5+KRpNq1Ni44qLa9DpDAQFKklJ8c4KP0eR3D8HiVRKXUkx6qoqwjpw9jtfmmpqaK6tQSKVEtfb968hXRGfmYkiIICWxgaqjh0jPsPx42FobaWmsBCAhL7+LboR8R88KQ7GJuSMj49oZ23uSvr3EwSVx49XenwUgCvxlCi4xATvdAKxVZCrVAqCvHhOxcaEC2LvmiaPj160OYEkJvr2/WpWVjK/Lt3JQQ9xAikts4pAkr133EeP7sv3P2zh99X7ufvuGR77OWBzAon0IRFIWnos23ccpbCwyt1dOY16mwjEA9xdIyKCuefuizv8mUQiITBGmBPGZiMKlRKJXIpMIUMZoEShaHNpjuvdk0PrVtNwoqTTiI3+gyfQf/AEx7+JDhgz6WrGTLoagBLNLiSYCY2O7LRvrUWCEEoVG4jqLNc+Lr7s3m4fqwxUMfXeezr9uTxWWO8260zIZXKkyvaikqtvegaA7d9/hwQz9WWdj/f5ctOfXz+n1+k1TUgwE9LFeGsqBTGrMlJFZHw88x/qWJxzvigDVVz4p7vs/x4/ZR7jp3jGHoeIiIjv45Q4mDFjxrBx40ZaWlro3bs3K1asID4+ns2bNzN06FBnNClyliTECxukVVUNbu1HvjWOxlbp6+koFHJGjezDo49czldfPEhW32QaGlq49/6P3B6tc658tGCVXQAy/46p/OmuizzKlWX+HdOQSCSsXZfrMYsAuk6cQE5e2NXpjDQ3t7Jx40EAJk7wHRGILQ6mqKgajbX6y938sSGf/PxSAgIU3HTjRHd3xylIpVJ6W+NAjh4td1s/frZGwcy6ZKjPZlGfis0dwh3CJ5tDRUbvRI+6NruK5OQoUlOiMZnM7NjpHPtieyVwn6TTqo78jcCwMJKskTDHt209w9HnRqU1miS6RxrKQM/KxXY1cqWStCGCc9XxrVuc0kbVsWNYzGaCo6IIiXZPFIWIiKuxx8E0tbi5J1BcYo2CSXXf319MTBjx8RFYLBYOHvTOZ1ZnYIu27ONmF7CExAgAKsq9SwRSW9sECJEq3nyPGhMjiKyra9Ru7smZsbnFJCX5thNIdpbwN3nwUKnb4jhPxtudQABGjsikR2oMarWWxYudc4/vCOp9LA4GoGe6IKr35DgYT3ACORPyYIWwi2W2YGoxdnpcbHpPAGqKilzUs+6jqRPcnIKjOheU6aoEAXNAnHudqaRKGdIAQfhhaDJ0elxsejoANUWFLujV2aGpFz4zQyI7/8xsrRTGW+Xm8RYRERFxJk5b6R4wYACffvopBw4cIC8vj4ULFzJgwABnNSdylsTHRwBQUdnotj5oWnT2m+DsbO8QgZxMeHgQb75xOwMG9KCpScv9f1nA3r2F7u7WWVFeXs//Pl4NwL13z+DWWy50c49Op1eveKZZ8yA/+HClm3sjYIuDUZ0aB6Nq+3drq55Vq/bS2mqgZ3qcV87xzrAtJJvNFruQy52YzWa7kGnu1WOI8tJM6u6Q0VuoTjtiFQa4mtKyWnbtOo5EIuGSmf4j6uzbVxA+HT7sevHNEavgx9MrE53JyFGCe8GWLYeccn7bJpBN4Obv9Bo5CoBjWzY75fxt0SSiKwWcNN5OEoGcHAXjzZt0IiJnQ5sTSKubewLFxcLzbo8e7hVh2dxAcnPdf+/uCVgsFru4192f/zYnkKbmVo9wr+kutXU2EYjnbx52RUys4PJXXe2+tbHuYnMCSUryXkeK7tC7dwIymZSGhhYqKhvc2heTycwJq/gm2YtFIDKZlJtumgTAV4v+oLVV794OdYDFYrE7gfiSCCQ9TYiFLvJAJxBbHEykBziBnAmJVIIiVCi8M6g7n7/RaYKTaG1RoUeIyE5GUy+IQIK6EiVUWZ1A4t1fLKEIE8bb2OV4pwPQcOIERp1nFAnasIluujPeAXHuH28RERERZ+EUEYhare7wq6mpCb3e8240/ZE4qxNIdXUjZrPZLX04fKgMi8VCfFw40V5qcR8SEsBrr97KBUN60tKi4/EnF6LTda6Q9TS2bBWqcQcNTOP668e7uTedc8dtU5DJpGzZepgnnvyCGjdX6ejtTiCKdt+XSqV2dxCdztjmmDBrmM9tvOTkCNniBw4Uu7knsOr3/Rw7VkFISADXX+caS0d3kelmJ5Dly3cDMGJ4BgkJEW7pgztoi0A64fK2bb9r2+/eHxk90ioC2XrEKQs5nrIJ5Cn0HjkagIId2zEZO6+yOlcqDgv3Hgl9+jr83N5IxihBBFKyby+6Fo3Dzy+KbkT8kbAwz4uDcbcIpF8/4d49N8/99+6eQEVlA2q1FplM6raIRRtBQSoiIoQK1IqKBrf25WyoszmBeLkA3xb1WFPT5OaedI1OZ7CvgyQl+rYTiEqloHdv4dnH3W6wVVWNGI0mFAoZcbHeHTk7fdogEhMjqa/X8POSHe7uzmloNDqMRhMAkZG+IwJJszqBlFc0eNx6cX2d94hAAOTdEIFEpaQikUrRaTQ019a4qmvdwu4EEtmxkM/YYsRodd0IiHW/KKE7opuQ6GhUISFYzGbqSj1LaGwT3XTmvGI2mtHXCoJxVbzoBCIiIuK7OEUEEhERQWRk5GlfERERBAYGkpaWxjPPPOM28YGI8KArlUowGEzU1zt+wbk75OcLD3Pe7pAQFKTi1VduISEhgoaGFtauy3V3l7rN5i3CRsyoUZ69EZOSEs2998xAJpOydl0u8254nSW/7HCbqlvfSRwMCAsWAAdyizl4sAy5XMbFFw12ZfdcQk7/HoDwPt2J0WhiwQLBBeS6a8fZF/19FZsbxNFj7nEC2bRZ2EycMmWgW9p3F30yhXGvrGywVye5AovF0hYH48dOIEOG9ESplFNZ2eDwLGWz2Wx3eOnTVxSBACT27UtgeDg6jYay3AMOP//JzhQiEJmcQmRKCmaTicIdjl+QF0U3Iv6IPQ5G7f44mBJrHEyqG+NgoO3ePS/PM+IV3M3hQ4Kwt1ev+A6f6VxNgtUN5IQXRcLUelGMQFfExNicQDw7Dqa8QpgbQYFKwsN9f7MqzSqcK3fz34Qt0ispKcrro1Dlchk3zhOKZr74cr19XctTsD1nBwYq7etqvkBkRDBhYYFYLBaKij0rEsab4mAAFGHCvDA2dS5KkCuVRCYJkVI1hZ4VCWOLJ+lMlNBaLvwNKCNVSJUyl/WrM+TW8TZ0Md4SiYQYq/uKp0XCnEl001rZAhaQBcmRB7v/XlBERETEWTjlDvaTTz4hKSmJJ554gh9//JHFixfzxBNPkJyczHvvvcedd97Jm2++yUsvveSM5kW6gVwus7tvVFa5x/YyL78EgKws7xaBgLDxP+sSIRphyZLtbu5N9zAYjOzceQyAUSMz3dybM3PN3LH876N7yMpKpqm5lRdf+oFHH/vcLWIyvVW9r+jgpjwgQLhJ/u47wUZ/wvhsr1HVnw0DcoSF5NzcErcuJC//bQ8lpbVERAQxd+5Yt/XDVfTqFY9EIqG2tslu3ekq6uqb7ZVY3nDNcCTBwQH2DOjDR1znBlJR2UBzcytyuYz09FiXtetpBAQoGTJYyPbdsvWIQ89dVlZHS4sOpVJOWg//HeOTkcpk9BoxEnB8RElLYyONFYKwKT7Tv64jXdHbFgmzzbEZ7SaDgarjwr1eQqboBCLiP4RZRSCtrQYMBvdtcplMZkrLagHc/hnTt28SMpmU2tomt8creAKHPCwKzhYJU1HhTSIQWxyMrziBeLgI5ERbFIyvuYx2RHS08HuxbVK7C0+J9HIUM2cOJTY2jOpqNUuX7XJ3d9pR74NRMCBskqenCW4ghYUeJgKxrilFecmaZXecKQCi0z1dlNCxm1NLsfC5GpjqGb8PWxzMGcfbGgnjceN9BieQliJhvINSQ/zic1VERMR/cYoI5NNPP+XVV1/lueeeY/bs2cyZM4fnnnuOV155ha+//ponn3ySN998k88++8wZzYt0k/j4CECobHYH+dbNxH7ZyW5p39FcMnMoEomEXbsLKC2tdXd3zsjefUVotXqiokLIzPSOCvPMzEQ+fP/P3H/fTJRKORs2HnT4hmB30HUSBwMQYK1Y2LdfUJzPnj3cdR1zIZmZiSiVchobWygpcd98X2ZduLju2vEEB6nc1g9XERSkIjlZeIBxdSTMtm3C31pmZqK9Ys6fsG0SHDrkOhGIzQUkPS0WhcK/KxNGjbJGwlgdrBzFYesmUEbvBORy91fbeAq9bSKQLY4VgVQeEa4jkcnJBIR4xuKWJ9B7lBDBc2zLZocKK6sLCzAbjQSEhBKe6B33eiIijiA4OMC+mOvOSJiKigYMBhNKpZy4OPfGCKhUCjKs8Qp5uSVu7Ysn4HEiEGu8h7tdD86GulpbBbl3i0BiYq1OIB4uArG5xCQm+XYUjI3oaOE+sabWvTE99kivVN8QiyuVcuZdL7iBfL5wnT1+xRNo8FERCECataDD0a6W54PFYvE6JxC5XZTQdaxOjE2UUFjg7C6dFV2JEsxGMy2lwt9AcJpnfK7aRDfGbo93oZN7dHZo6qzOKx2IbiwWCy3FwvwP8pDxFhEREXEWThGBbN68mSFDhpz2/SFDhrB5s1AdP27cOIqLxTxadxIfLyxEVbnBCaS+vtm+wNG3r2+IQOLjIxg5Qqhq/eVXz8vXPJWtW4WNtJEjMpFKvcfWUiaTcu0147jyCqFqdtGiDS7vg8EgPCirOrAODghQ2v8/Pj6C4cN6u6xfrkShkJNl/dt1VyRMQ4OGvfsKAZg61X/iSTIyhAX8o0dcGwljE1yNGumf1eR9rJsENtGAs9HrjXz66RoAsrJ843PyfLCJQPbsLUCr7boS5WywbwKJUTDt6DVSEIFUHjlMc63jhH5iFEzHpA0egkypRF1ZSW2R42yL26Jg+ojVTSJ+hUwmJSRYEAer1e4TgdgqyFNSoj0iRqB//1QAcvM8K7PdHdju5/p4yFqEXQTiTU4g1s35GG93ArGKQOrrNR61IX4qJ04Im4dJiR1XNPsaNnFRnYeIQNLSfEMEAjBn9jAiI4MpL69nxcq97u6OHV8WgfRMtzmBeI4IpKVFZ48E8hYRiM2Zwtik71I4H5MuuIh6kijBYrHY42BCOognaS3XYDGakQXJUUYHuLp7HWIT3Zi0RsyGzl24Y9LTAe8S3eiqWzFpjUgUUgITfO+aIyIiInIyTlmJSElJYcGCBad9f8GCBaSmCgsPtbW1RHZifyXiGuLjIgDcYgdrixTo0SPGntnsC8yePQyAX5fu8ugFBIDN1mpq28aat3HVVaORyaTs2HmMI0dc64ig1wsq6I7yo5Wqtu/NumSoVwlszpYcayTMgQPuEYFs3HQQs9lCZmai3ULZH8jMEKq5jxxz3bw3m81s2+bd14zzxSYScJUI5I03fyUvv5TQ0EBuuXmyS9r0ZHqkxpCYGInBYGLXruMOO69NBNKnj2dsAnkKwZFRJPTNAuC4AyNK2kQg/nkd6QxFQABpgwUB/bEtmx12XlF0I+LP2J4x3ekEUlxiqyD3jBiB/v1sIhD/LsapqVFTW9uERCKxu6O4G5sIpKK8wb0dOQtscTBR0d6xedgZEeFByOUyLBaLXdjiidiKqGxzxdexiYvc/TuxifnSfCQOBoTCpWusUbq/rdjj3s6cRH29IAKJ9EERSJ9MYS0hL99zRJg2F5CgQGW7YjZPRh6iAAlYTBZMLZ2vudtiMCsOHcJs8oy1+dbmJsxGQXQT1MF+mMYaTRKcFuox4n2ZSoZUJbilGps6L8SxPdvXFBaia9G4pG9nwmI209LQAAhrG6fSLgpG5hnjLSIiIuIsnLI7+corr/Daa68xaNAg7rjjDubPn8/gwYN5/fXXefXVVwHYvn0711xzjTOaF+kmNicQd8TB5B8Ubnyzs1Nc3rYzGTc2i4iIYGprm+wiC0+kqqqR48crkUoljBie6e7unBOJCZFMmtQfgK+/2ejStvX2OJiOnECEOBiJRMIlM4e6tF+uJidHWEh2lwhk/R95AEwY388t7buLDKsIxFViBBCEew0NLQQHqxhgFf/4G7aFm5LSWjSaVqe2tWzZLhb/uBWJRMLfn55LUpJ/VPx1hUQisbvQbNnqmM9Xi8Vi/zvyFDt4T6L3KMFx69hWx0XCtDlTiKKEU+k90jre2xw53lYRSF9RdCPif9hEIGp3ikBsMQIesnnYv79wD3fwYBmPPb7Q/vXhRyvtFdj+wGFrAUFaWgyBgZ6x8ZWYEAHAifI6h8aCOQuz2WzfQIz28jgYqVRKtFVwUF3tuZEwtjiYZD95LrCJi2xiI3eg1eqptDon9+jhO04g0LaGsndvITpd11EPrsKXnUCys1OQyaRUVTW6xY27I2zX8EgvcQEBkEglghCErkUJMenpKIOC0GtbqC5wXAHJ+aCpE1wpAkJCkSvb33tYzBZaSqyinB6e9ZmqCBPG26DufLxDY2IJi4/HYjZTnp/vqq51SUtjIxaz4F4SHBHR7mcWiwVNsVUE4mHjLSIiIuIMnCICmTNnDocPH2bmzJnU1dVRU1PDjBkzOHjwILNmzQLgz3/+M//5z3+c0bxIN4mzOoFUVbr+BjQ/X3ACyc7yLRGIQiFn5owLAFjyi+dGwtg20LKzUwgPD3Jzb86d664ZB8CKlXupcWGGr64rEYhKuJkfMTyDBOtinq+SY11IPl5QiaZF59K2W1v1bNt2FPA/EUhO/1SkUgkFBVVUVDS4pE3bNWP4sAzkcplL2vQ0IiKCiY+PANo2D5zBkSPl/OvlHwG49ZbJjB4tbpbbsLnQbN5y2CEbJMUlNTQ2tiCTSenVK/68z+dr9B4hiBIKtm9zSAWVpr6OuhJBNBifKYoSTsUmuineswe99vw3rfUtLVQdFT4nRdGNiD8SFiY847jTCaTE6gSS6iFOIKmp0cTEhGEwmFj/R5796+NP1nDV1S/z3/dXoFa3uLubTufQIWEtwpNcwBKsroYajY6mJueKjR2BWq3FZBI2VyIjvX/DNiZG2ASqqfVcEUi5NQ7Gf5xAhJgetVprL8JxNSWlwjU8PDzIq9fNOiItLZbY2DD0eqM9Ytfd+LIIJDBQSW+r85S7iqhOpa7eKgKJ9B4RCLRFwpiaOhcvSWUykvsJRYOlBw64pF9nQlMnCPk6cgHRVWkxt5qQKqUEJHjWtUYeKox3VyIQgJT+OQCU5nrIeFujYALDw5HK26/dGxr1GNV6kEoISvG9642IiIjIqThcBGIwGJg8eTI6nY4XX3yRH374gcWLF/Piiy+Sbs0IE/EMEmxOIC5WIVssFvLySwDfcwIBmDVLcH/YvPkQ1S4UJpwNtg3d0V4e69CvXyoDB6RhNJr4/gfHVc6eCb2ucxHIwIFpyOUy5s2b4LL+uIuYmDASEyMxmy3k55W4tO1t24+i0xlITIwkI8MzbJxdRWRkCAMGpAHwx4Y8l7RpczYaOdK7rxnni80twlkuLBpNK0/83xfo9UZGjezDbbde6JR2vJWhF/RCLpdx4kQdpaW153Uuvd7Ic899C8DgwekdXs/9neR+/QgICUWrVlN+8PwqeswmEz899ywAcRmZBIuRkKcRldqD8MRETAYDRbt3nde5LBYLv/zrRQytrYTFxxOZ7Hv32yIiZyI0VMhTV6s9IA7GQyrIJRIJb75xG4/87TL714MPzKJPnyRatHo++3wtV1z1MkuXnd81yNPZu68I8CwXsMBApX3js7yi3s29OTM2d4bw8CAUCu+/h4qNFQQHnuoEolZraWoWxEH+IgIJCwu0Fx/YHAtcjae5OTkSiUTC8OEZAGzfftTNvRHwZREICMU8APtzPUMEUm8VgUR5qQjE2Ny1g02yVZRQ5mGihOCoDqJgbK4UqaFIpJ4VTWIbb0MXohuA5BzreHuY6KarKJjApCCkCv8schMREfEvHC4CUSgUHDhwwGPyy0Q6Jy5OEIHU1ja5VFlfWdlIfb0GmUxKn8xEl7XrKtLT4hg4IA2TycwyD1xAMxpN9oe8UT6woXvttUKW6eIft9La2rUy2VHY/l5USsVpP7vxhoms/O1phg3t7ZK+uBv7g6yLqxlOjoLxx88bm/uJbRycSWNjC/nW7NpRI70zPspR9OkjfGYdOuQcEcgvv+6krKyO+PgInnl6LlKpUwzbvJagIBWDBgkCqPONXHvjzV/Jyy8lNDSQxx+9whHd8zmkcjk9hw8H4OiW8xNarv94AQXbt6MICODS/3vaEd3zOSQSSVskzHlG8Gz/9hvyV/+OVCbj8mf+gVQmLm6J+B+2OBh3OYFotXq75XsPD3ECAeFZ9bJLR9i/rr5qDB8vuIcXX7iBzIxEWlp0fPLpGnd302kcPFjGtm1HkEoljB2T5e7utCPJurlfUe75IpC6WuvmoRfFCHRFTIwgAqmpcV/0SFeUlwubh1FRIR4TYeRsJBIJ0db5VeemSJji4moAeqR6hpDP0YwYJohAtnmYCCTSV0Ug1lhdj3ECqfPO67jNmcLodaIEqwjkFFGCxWKxixKC0jzvd2EX3ZzBCSS5/wAAyvJyPSLWrjuim+A0MQpGRETEP3DK7sJNN93EggULnHFqEQcSERFsr3x1ZcVD/kFhM7F37wRUqtM30X2B2bOHAbB06S6PuPk5mQO5xWg0OiIigsjK8hwL3HNl/Lh+JCVGolZrWbZ8t0va1OuFhw2lquOqJ1+d1x1hf5DNdZ0TiNFoYuPGgwCMH5ftsnY9ifHjhfe9Z0+h0227t20/gtlsoWfPOHscir/S12obfuhwmcPPbbFY7DFiN1w/3ucshx3F6JFCrMXq1fvP+RzLlu1i8Y9bkUgk/P3puST5Sbb6uWATJRxcs/qc72cOb9zAxk8/AWDmI48R19s/RJLnQu9RowE4tH4dJuO5CbSL9+5h1btvAzD13vtJGTDAYf0TEfEm3B0H400xAhKJhIkT+vHyv28CoLy8HqPx/GPAPJGP/rcKgOnTBntcdb/N4cGbnECio3xjAyU2xrOdQE5YhUH+4gJiIyraFtPjHhFIUZFVBOJh1wpHMczqBHLkSLk9GsSd1Pu6E4h17ezw4RNuizg6GbsTiJeJQBRhwnrrGUUg/YU4mLrSEloaGpzdrTPSJkpov/agr9dhbDYgkUkITPa830V342ASMjORK5VoGxupK3GtU3RHdCa6MTYb0NcIzlpBqb5xDyMiIiJyJpwiAtHr9bz33nsMHTqUu+66i4ceeqjdl4hnIJFIiLe6gVRVNbisXVtFebYPCBA6Y9KkHJRKOcUlNU6LDThXtlirp0cMz/SJKnOZTMrcuYIbyI8/bnNJm7YHNjE+oO1BNje32GWCp/37i2hsbCEsLJCBA9Nc0qankZIcTa9e8ZhMZjZtPuTUtrZuPQLA6FF9ndqON9Cnr2AbXlRU7XDnofz8Uo4fr0SplDNt2mCHntuXmDZ9EHK5jH37i8iz3k+cDYePnOBfL/8IwK23TGb0aHFed0XfiZNQBgVRU1TI8W1bz/r1daWl/Pz8PwAYdsVV5Eyb7ugu+hS9R4wkJDqG5poa8lf/ftavb6qp4Yenn8JiMtF/6jSGXXmVE3opIuId2JxA3BUHY4sRSPUgF5AzERMTilIpx2QyU1np2shYV5CXV8KmTYeQyaTcestkd3fnNBIShA3+E17gBFJr3ZSPjvGNDRR7HEyNZ8778hPCnEjyMxFItFUEUucmEUhbHIxvOoFERYaQmSE4Xe7YcczNvfH9OJjkpCgiIoIxGEwc8oB1YpsTSKSXxcHIw05yAuliCTIwNIzoNGG9sCw31xVd65LORAn2aJLkYKRyz1ujt4luTC1GzEZzp8fJFAoS+goOa54QwdOZ6KbF6gKiig9EFiiu6YuIiPgHTvl0OXDgABdccAFhYWEcPnyY3bt327/27NnjjCZFzhFbVXeFCxd59lkzeLOzfTefPDhIZbeXXblqn5t7054t1g3dUaO8PwrGxqSJgsL7eEGlS6rWdFYRiC/kH58vmRmJqFQK1GqtPffc2azfkA/AuLHZ9pxgf8QVkTBms5ktWwXhmC9dM86VmOhQoqJCMJstHDtW6dBz/7xEcAGZPDmHsLBAh57bl4iNCWPa1IEALFq04axeazSaeOqpr9DrjYwe1Yfbbr3QGV30KQJCQhg8azYAW7/+6qxea7FY+PEfz6BrbiY5J4ep997njC76FDKFgmFXXAnA1q8XnbW48peXXkBTV0tsr17MfOQxv4xLExGx4e44mJIS2+ah94hApFIpSUnCJnPZiVo398bxfLRAENdddNFgjxTnJCZGALBjx1EaG53r9He+1FrjYHzFCcTT42DKTgibWf7mXmeLg3GHE4jFYrFfx9O86Dp+tgwfbouEOeLWfmi1enQ6wdkhItI3RSASicQep+wJkTB13uoEEqIECViMFuSWrtcDk/sJa8WluefuIuooNPWCmO/UeBKbKCGoh2d+nkpVMqRKYfvQ2HSmSBjbeHuACKQT0Y09CsZDx1tERETEGThFBLJmzZpOv1avXu2MJkXOEZsIpLKywSXtrVufx779RchkUoYN9W078GnThE2q33/fh9ncuVrWlTQ3t3LkSDkAw635n75ATEwoAQEKTCYz5S6onLI5gahEJxDkcpk9VsgVD7IWi4U/1guih/FWEYS/YhOBbN16xL5g4miOHCmnrq6ZwEAlAwf4p+vKyUgkEvr2EdxAHBkJ09KiY9WqvQDMmTXMYef1Va65RnB/WrP2ABUVDd1+XX5+KSWltYSGBPDM03N9wg3LFQy/ai4SqZSC7dupOtb9KsG6kmLK8/ORKRRc8Y9/IlP4T1Ta+TDk0suQq1RUHD5E8VmI5zX1dRzfugWAK/7xPMpAUUwm4t/YBJXuEoEU2SrIPVBs0BXJSdEAlJXVubknjmX/gWK2bD2MTCbllps9zwUEBIF7WFgghYXV3H3PB1RXe6YrBUCdNQ7G2zYPO8PuBOKhcTC2NQ6/E4HYnEDqXB9VUlOjpkWrRyaTkpzsu+M+YoSwLrh9+1G3RlnbXECUSjlBgUq39cPZnOyk625sf1dRXuYEIpFJkAcLz5VKU9dzJTknB4ATHuoEYmw2oK/TgQSCUj3z9yCRSOzuKwZ11+uOKf2F8fYI5xW76KZtvM16E60VgsjWU0U3IiIiIs7Aq1a/X3zxRSQSCQ888ID9exaLhb///e8kJSURGBjIpEmTyD3lw0an03HfffcRExNDcHAwc+bMobT07C3EfZH4eFscjPMXGDQtOl57fQkA864f7/MPsKNH9SUoSEVlVSP797v/Bh8gL78Ei8VCUmKk/YHaF5BKpaSmCAusrnCjMIhxMO3I6S88yLpCBHLsWAUnyutRqRSMHOE7QqZzoW/fJOLiwtFq9U6zb131u+BkNHxYhjjfrfSxiUAOOc7CdfWaA7Ro9aSkRDN4cE+HnddX6ZOZxNChvTCZzHz3/eZuv26zLQ5tZCZhYUHO6p7PEZGYSNbESQBs/WZRt193bIsgSOgxaDBhsb5po+0MgsLDGThjJgBbv+m++8rxrUJcT3xmH2LS0p3RNRERr8IeB9PkHkcFb3QCAeybnb4mAvlowSoAZs64gJTkaDf3pmPi4sJ57507iY0No6Cwirv+/L59HnkatVYRiK+sKdicQFpadGhadG7uzemcKBf+HhP9NA7GHU4gNiFfYmKkTzvADhqYjlIpp7paTVFRtdv6UX9SFIwvO9nZ185yS9zcE6iv804nEGiLhFGZuy4ySOk/AIAT+fmYTc53je4KTYMgSgg5SZSgPSHMe1VMILIAz73OKEKtETzqMziBWEU31cePoWvROL1fXWEXgUS2fW5qy1vAAoowJYow3xWbiYiIiJyK00Qg27dv55FHHuHaa6/liiuuaPd1ruf74IMPGDhwYLvv//vf/+Y///kPb7/9Ntu3bychIYFp06bR1NT2kPDAAw+wePFiFi1axIYNG2hubmbWrFmY3HwD4Am40gnko49WUVXVSFJipMdW3zgSlUrBxAlCpb5tI9Xd2DbpbepzXyI1VVjMc8VCmc0JRKny3Jt0VzJggDCfdu067vS2bJu4w4f1JiDAv2/aJRIJ48dlA86JhDEaTSxdtguAGTMucPj5vZV+/QQL199W7GHjpoMOOeeSX7YDMOuSYT696OVIrr1mHAA//byt24v19mijkWK00dky8pprAchduYLm2u5FBByzulL0GjnSaf3yVUZcfQ0ARzZupLa4ewLLY9sEEUjvkaOc1i8REW+iLQ6m1eVtWywWiouFzTRPjB3pijYRiO/EwezZW8D27Uc92gXERs+e8fz33btITYmmoqKBP939PkXF7tuY7Yw6exyM920edkRwkIqgIBUgOEB4Emaz2e58l+RnIpAoa9xQnRtEILZruLcJ+c4WlUrBoIHpAGzbftRt/Wg4SQTiy2RnpyCTSamqanRJMWZntLbqadEKG/reKAJRhNmcQLoWgcSkp6MMCkKvbaG6wPnrlZ1hsVg6dALRlgvzPjDJs+e9bbwNZ4iDCY2JJSw+HovZTHl+viu61imaeut4nyS6abWOd4CHj7eIiIiIo3GKCGTRokWMHTuWvLw8Fi9ejMFgIC8vj9WrVxMeHn7W52tubmbevHl8+OGHRJ6k4LNYLLz++us8+eSTXHHFFeTk5PDpp5/S0tLCl19+CUBjYyMLFizg1VdfZerUqQwZMoSFCxeyf/9+Vq1a5bD37K3ExQm/j0on33weOlTGt99tAuCvD1/qN5u306YOAmD1mv0Yje4XHR04IKjNfVMEIjycu1QEIjojADD0gl4oFDJKSmspLKpyalsHrLaZQ4b0cmo73oItEmbDxnxMJsfGTm3ceJD6eg1RUSGMHdPXoef2ZsaM7suE8f3Q6408/sQXrFl7fnmnBQWV7N9fjEwmZeaMIQ7qpe8zelQfevSIQaPR8csvO854fF19MwcPChE+I0dkOrt7Pkdy/xySc3IwGQzsXPzDGY83tLZStGc3AL1HjnZ293yO6B49yBgzFiwWtn/3zRmPN5tMHLeJQEaJIhB3s379embPnk1SUhISiYQff/yx3c+bm5u59957SUlJITAwkOzsbN577712x3THybK+vp4bb7yR8PBwwsPDufHGG2loaHDyu/MewkLb4mBcbXFfX9+MRqNDIpF4rOtEZ9j6W+ojTiDNza288KLwuXXJzKFe4aSQmBjJe+/eSWZmIvX1GhYt2uDuLp1GrT0OxjecQECImAXPi4Sprlaj1xuRyaT29Tt/IcbqBFLrFhGILdLL993shg9vi4RxF/4iAgkMVNK7dwLgGifdzrBFwSiVcrsAzpuwOVOozF3vLUhlMpL79Qeg9MD5rducD3ptC0adULgSZN3XslgsJ4kSPNulVB5qi4PpWgQCbZEwpbnuG2+LxUJLR04gVueVwETPHm8RERERR+OUHcwXXniB1157jXvuuYfQ0FDeeOMNevbsyV133UViYuJZn++ee+7hkksuYerUqTz//PP27xcUFFBRUcH06dPt31OpVEycOJFNmzZx1113sXPnTgwGQ7tjkpKSyMnJYdOmTVx00UUdtqnT6dDp2ipL1WrhQdBgMGAwdJ2B5k1ERws32JWVDU57XyaTmZf+tRiz2cKFk3MYOrSn28bQ1q6r2h80qAfh4UHU12vYtu2w/eHKHZjNZvsGelbfJJ+axwBJScKNXVFRtdPfm04vnF8qlXjVODpr/iuVMi64oBdbtx5h7doDzLt+vEPPb8NisdgflLOyfG8Onws5OSmEBAdQX69h794CuyuLI/jp520AXHzRYCwWMwaDY0UmrsaR8/+Zp6/iny/+wOrVB3j66UU8/tjlTJs28Mwv7ADbOI8e1Yfw8EBxXp8FV185ildf+4Wvv9nIpXOGIZN1rm3evFlwbcnISPC7cXbU3B925dWUHTjAzsU/MPza61CoOl8wPL5jOya9ntC4OMKTk/1qvB3F0Cuv4uimjexd+itjbr6VwLCwTo8tz89H29iIMjiYuD59xfE+CVfd+598fo1Gw6BBg7j11lu58sorTzv2wQcfZM2aNSxcuJD09HRWrFjB3XffTVJSEpdeeikgOFkuWbKERYsWER0dzcMPP8ysWbPYuXMnMpkMgOuvv57S0lKWL18OwJ133smNN97IkiVLnPpevYWwMEEEotcb0ekMLi1CsMcIJESgUnVdpeppJFtFICdO1GGxWLzaocxisfDPF76jtLSW+PgI/vynjtd+PJGoqFBuvGEiTz+ziKNHK9zdnXbo9UbUai3gO3EwALGxYRQX13icE0hBoVBk0SM1Brlc5ubeuJaoaMGhoLau2eXXI7sIxMedQMAqAnkPdu8+jsFgdEv8TUO9f4hAAHL6p3L48An25xZz4YUD3NIHmwgkMjLEKz/n7XEwZ3ACAaGYoWDHdspyDzD0ssud3bUO0dQJggRFYCDKQOH+1NCgw6Q1IZFJCIgNdEu/uostOqU7IpDknBzyVv9OmRtFN63NTZisz2bBEcJegbHFgKFR6H9Aou9fZ0REREROxil3dseOHeOSSy4BBFGGRqNBIpHw4IMPcuGFF/Lss892+1yLFi1i165dbN++/bSfVVQID8Px8fHtvh8fH09RUZH9GKVS2c5BxHaM7fUd8eKLL3bYzxUrVhAU5DuKQb1ecKfQaHQsXvwzKifEW2zaXMahwydQqWRkZylYunSpw9s4W1auXOmytnqmh7Bnbwuffrac6mr3uRfU1Gppbm5FLpdy+PAujh3b47a+OIOyE0J1yJGjZU6fY01NwgPqtq2bKTjufdcDZ8z/iHDBHWXJL5uJjHBOpU5DQyv19RpkMgnHj+2luGi/U9rxNnr0CCYvv5VPP/uVCyenOeSc6iYdW7cdASA4SO0R121H4aj5P3RIEFVVMRw4UMPzL3zPjp27GDQw7qzOodebWPLLHgDi480+Nc6uwGIxERgop6KigX+//FmX47/kF6GyLSZa6rfjfL5z32I2owgLR6tu5MsXXyB2ROcxLyd+F9z25AmJLFu27Lza9VcsFgsBcXG0VlXx1T+fJ2HipE6PrdokVIkHJCXz24oVLuqhd+Hse/+Wlhb7/8+YMYMZM2Z0euzmzZu5+eabmTRpEiCIN95//3127NjBpZdeaney/Pzzz5k6dSoACxcuJDU1lVWrVnHRRReRn5/P8uXL2bJlCyOtkUsffvgho0eP5tChQ/TtKzp4BQWpCA0JoKm5lV+X7uLKK1znklNo27Tt4X0V5ImJEUilErRaPXV1zV69yb/o642sW5+HQiHjn89fT3i4dz23ZVirxY8XVGI2m5FKnZbmfFbYXEDkcpldbOULxMYILhue5gRiu56kp5/dc4YvEG11mjEaTTQ1aQkLc93fsC0OJs0PRCCZGQlERATT0KDhQG4JQwb3dHkf6q1OIJH+IALJ6cEPi7e61wmkXhCBeGMUDLSJEpQmxRnd3pJzBGcKd4oS2qJgTnalEJ4dAhKCkHRRzOIJ2MbbpDFiNpqRyjvvb3J/QdhUlpfrNjGxbbxVISHIrYUrreXCeCtjApCp/EtQKSIiIuIUEUhUVBRNTcKDYXJyMgcOHGDAgAE0NDS0WyA7EyUlJfzlL39hxYoVBAQEdHrcqR8o3fmQOdMxjz/+OA899JD932q1mtTUVKZPn05YF5V43siCj3NRq7UMGjySXj3jz/yCs+DLr/7gjw2CdfG9d89gzpzhDj3/2WIwGFi5ciXTpk1DoXBNVVZyciH3P/AxBQVNTJ063W0RIr8u3QXso3+/VGbPnuWWPjgTtbqFhV/k0dSkZ/LkqQQGOq/a7+139wBGpkyZTEqK91g8O3P+jxzZxG8rXqG8XMOIEeOIiXH8dXLlyn3AXvr2TWbOHN+bw+dKcHAeT//9a0pKWpkxY4ZDHrI++3wdFgsMGpjGDTecXsXsjThj/s+caeb1N5by08/bWf5bAX37ZnPF5Z1vjJ+MxWLh2X98i1ZrJCE+grvvvha5THwYPVvqG0L5+JM1rFxZxPDhQ5k65fRqKpPJzH/ffxmA66+7iEGD0l3cS/fiyLmfaDSw6s3XqVy/loFDBjPk0o6rqT5c9AUAE6+8ij7jJ5xXm/5MfmAAS57/BzXbt5I9YACjb7ixw+MWLhWcH0bPuZRBM2e6sosej6vu/W2ukd1h3Lhx/Pzzz9x2220kJSWxdu1aDh8+zBtvvAHQLSfLzZs3Ex4ebheAAIwaNYrw8HA2bdrUoQjEX5wuT+bWWyfz5lvLePfd5Qwf3ovEBNdEgRw9Wg5AenqsS8bW0Y43cbHhVFQ2UFRURVhY5+swnsy+/UW8+67gknPvPReTmRHvdfM8PiEMpUKOVqunuLia5OSoM7/IBezdWwAIDglGo9GtfXHk3I+KEjafq6qc55J7Lhw7JhSv9egR7VH9cgUSCYSGBtLUpKWiop7AQNes4en0BsorGgBITIrw2HF35PwfMjidNWtz2bevgJz+Ked9vrOlziouCw0N8NjxdhRZfZMAOHz4BBqN1i1rxDU1QiR8RESQd4639dZEhgyduhVJeOdrYPF9hHviutISGmuqCQqPcEEH26OuFkRlQRGR9vFuKRPmvDLO8+e8RWZBopBgMVjQ1rWgjOzcETQ6PR25Uom2sZGqggKiUlNd2FOBxg7GW1MqjLcq3vPHuzu4w+1SRETEe3HoncZtt93GG2+8wfjx41m5ciUDBgxg7ty5/OUvf2H16tWsXLmSKVOmdPt8O3fupKqqiqFDh9q/ZzKZWL9+PW+//TaHDh0CBLePk2Nmqqqq7O4gCQkJ6PV66uvr27mBVFVVMWbMmE7bVqlUqDqwuVYoFC4TD7iK+LgI1GottbUa+vZxzHuzWCws+N/v/O/j1QDcestkrrhitMfYzLny93jBBb2JjQ2julrNjp0FTJzQzyXtnkr+wTIABgxI87k5DBAdHU54eBCNjS1UVqrJzDz76KnuotcLi11BQQFeOZbOmP8JCVH0759Kbm4JW7Ye5fLLurcRfjb4+hw+V8aP70dQoJKKygYOHa5gQM75RcKYzWaWLtsNwJw5I3xurB09/x/522UEBqpY9PUG3nhzKUajmXnXn3nT++tvNrJmbS4ymZRn/34NgV2IXUU659ZbLqS8vIHlv+3m+X9+j8lkYdYlQ9sdc+RICY3qFoKDVQwe3MvvrLRtOGLuj7jqahpPlLH9u29Z+cbrWIwmRl57Xbtj6stKqS8tRSqTkTFylM9dQ1zJgOkX0XCijD/+t4A//vcRZqOBiXfc2e5+uqWxkRP5+QD0GTNWHO9OcPa9/9mc+80332T+/PmkpKQgl8uRSqV89NFHjBs3Duiek2VFRQVxcadXhcfFxXXqdukvTpcnE6CykJISSmlpE48+9j+uuTqr3d9Pa6sRpVKGVOrYZ9QdO4W/ySZ1uUvdpxzleKNSCRGAy5atoaTE+9xMWloMfPzpfkxmM/2yo1HIq73WBSwyUklllZFvv11Knz6eIQL5ddkxwLPc1Rwx92trBceNzZtzyeh93qdzGLv3HAagvt75jqeeiNJa27Ns+e+kp4W7pM3q6hYsFgtKpYwtm9d7zDpmZzhi/re0CJXzO3YeICLcOc6uXXH4iCAuKyk5ztKlzS5v35VYLBaCguS0tBj59NPvSU52vePW1q3C2pqmud5rrysZsh4EmQLYvXon9aquxdiqqCh0dXX8/NlnhPV2fUx77R5hfa1JrxfG2wL963sjQ8b2Y7toLdKd4QzuJ51kwghm7+pdVAfWd3msMjYWY1kZy776ksgc10ceNR4U7sN1WOzjndXYEyUK9hYfoLm8+wXqno4r3S5FRES8F4eKQD799FNeeukl3n77bVpbWwHBUUOhULBhwwauuOIKnnrqqW6fb8qUKezf397u/9ZbbyUrK4tHH32UXr16kZCQwMqVKxkyZAgAer2edevW8a9//QuAoUOHolAoWLlyJXPnzgWgvLycAwcO8O9//9sRb9vriY8P58jRcqoqGxxyPovFwrvvLeeLL/8A4E93TeemGyc55NzeiFQqZcqFA1n09QbWrjvgNhGIzWow5zw3iD2Z1NQYGhuLKSmpcZoIxGw2YzAIMUrucnXxVCaM70dubgl//JHvFBGIfQ73c72S3JNRqRSMn9CP337bw8pVe89bBLJz53HKy+sJCQlg8qT+Duql7yKRSLjv3hkEBCj45NM1vPPucnQ6A7fecmGnC4Z79hbw9jtCRMb9981kwADHxPj4I3K5jP978kpUKjk//bydF178Hp3O0M72f/MWYfF8+PAMvxWAOAqJRMK0+x9AoQpg0xefs+qdtzDodYy76Rb7MUe3bAEgdeAgVMG+b+nsTCQSCRNuvR2FKoDV773Dxs8+xajTMeWe++zXl4LtW8FiIa5Xb8I6EAWIeB5vvvkmW7Zs4eeffyYtLY3169dz9913k5iYaI9/6YhTnSw7+ozpyu3Sn5wuT2bQoFHcevu7FBWpsZDAJTOHUlfXzPsfrmT58j1MnNiPZ5+Z67BNPovFwn/fF9YwLrtsGn36JDnkvF3haMebvHwjRcU7iY5JZebMCx3QQ9ey5JcdNDfvIiUlmldfvYugwM4rVj2dvft0LP9tDxGRycycOdnd3RGKfT5+FYC5c6cxfJh71RKOnPsjRqhZsfI/nChvZtiwscTFuUZw0BUWi4V33t0LwOWXT3e4c683sHJVFbW1BWRk9GP6tEEuaXPdujxgP716Jdijzj0RR85/Tctmtm4rJzwshplucJVb8ksZ0MD48SMZPy7b5e27mo2bGtm46RBh4anMnNl5gaqzOHz0V6CUgQOzmDmz83tPT6Z+dzWa3EYyInoSOzm5y2OXHdjH/uXLSAoKZIIb5veGqkrKgV7Z2Vw0cya6ai3Vv5UhVUmZPLvzdSNPovlQAw3ba0gLTWX49NFdHrumuIjt3ywiRiHnIjeM985WLSVAaq/ezJw5E0OjnsolxSCVMP6SCUi6iLPxFjzR7VJERMRzcegOpi2HLSqqrUJBKpXyyCOP8Mgjj5z1+UJDQ8mxZrfZCA4OJjo62v79Bx54gBdeeIHMzEwyMzN54YUXCAoK4vrrrwcgPDyc22+/nYcffpjo6GiioqL461//yoABA7pcZPMn4uMjAKiobHTI+b7/YYtdAPKX+y/hmrljHXJeb2b0qD4s+noDe3YXuKX95uZWCgsFOzRfFoH0SI3hwIFiiktqnNaGTQACogjkVCZM6Md7//2NHTuPodG0EhzsOGcDrVbPUasVri/P4XNl6pSB/PbbHlav3s/99848r43uJb/sAGDa1EEEBDgvVsmXkEgk3Dl/GiqVgvc/WMFHC34nPj6CS2YOPe3Ymho1Tz29CJPJzLSpA7nqyq4foEXOjFQq5ZG/XYZSKefb7zbz6n9+Rq83ct21QlX9lq2CCGTUyD7u7KbPIJFImHTXn5AHBLB+wYes+/ADDK2tTJp/FxKJhONbBRFIr5GOFwP6K6Ovn4dcpWLF6/9h69eLMOh0XPzgw0ikUo5t3QpAr5GjznAWEU9Aq9XyxBNPsHjxYvvG0sCBA9mzZw+vvPIKU6dO7ZaTZUJCApWVlaedv7q62u6IeSr+5HR5Mj17JnDXndN56+2lvPvebzQ0tPDlV3+g0QhVl+vW5bF12zGHbTrV1jbRqG5BKpWQkZHk0rF11O8yNVVw/6ioaPDKuVFXpwFg2NDehIeFuLk350dmZhLLf9tDQUG1R/wujh2voKamCZVKwdALentEn8Axcz8xMZqBA3qwd18RGzYe8oh1rOoaNc2aVmQyKT3TE1Ao/G/9ISZWEOM0NmhdNt/KTghV7mlpsR4zx7vCEfM/JkYY54YGjVvec0OjUG0eEx3uFWN+vvTtm8zGTYcoK6tzy/ttbLCOd4z3jndwaiia3Eb0la3IpTIkss439hP7ZrF/+TIaSkvd8n5bG4X9ltDoGBQKBc1VDQAEJgajVHrHmltIWjgN22vQV7ciNUuRqTpfc0zKygKgvqTEPeOtFsY7JEYYb2214G4UEB+I0ouFwR3hSW6XIiIinovDpW+uVi8+8sgjPPDAA9x9990MGzaMsrIyVqxYQWhom53aa6+9xmWXXcbcuXMZO3YsQUFBLFmyBJlMrAYF7BUOVVXnLwJpadHZI2Du/vPFHvHg7Ank5PRAJpNSWdVIeUXXtmnOIDevBIvFQlJSFFGR3r0Q1hWpqTEAlDhRBKLTteUeiyKQ9qT1iLVmQ5vslfeO4uDBUkwmM7GxYXbhmkgbI4ZnEBYWSF1dM3v2nLvYrL6+mXXrcwGYM3uYo7rnN9x80yRuu1WomP3wo1XodO3zM81mM8/8/Wtqa5vo1Suexx69wiuqPrwBiUTCA3+ZxY03TATgrbeX8vEnq2lsbCEvrxQQRSCORCKRMP6WW5ly970AbPr8M1a9/SYGnY7CXTsB6D1SFDg5kuFXXsUljz4OEgm7flzMLy+9gMlotItueo8SRSDegMFgwGAwIJW2fwyXyWSYzUIEx8lOljZsTpY2Ecjo0aNpbGxk27Zt9mO2bt1KY2Njl5Gn/srcq8eQk9MDjUbHhx+tQqPRkZWVbK8qf+ONX077zD5Xjh8XxDkpydGoVN65cJqcLBT1lJXVubkn50Z9vRAlEBXl/c+9Gb0TADh2rOOYJ1ezdesRAIYM7um187srJk8WbOvXrDng5p4IFBQI15Pk5Ci/XXuItv4d19S6LqKkuFgooOphXV/yB6KjhXGurXNPFEtDgyDei4jwDxfBhARB5FtR0eCW9ut84HNSEa3CIDFiMVpordR2eWx4gvBZ2ljpns9STYOwDxAcJfzeW08IIpyARO+Z74pQJYpwJVhAW6bp8tjweDePd711vCOF+1mtdbwDvWi8RURERByJw0Ugffr0ISoqqsuv82Ht2rW8/vrr9n9LJBL+/ve/U15eTmtrK+vWrTvNPSQgIIC33nqL2tpaWlpaWLJkCampYpyADduGaqUD4mC++XYTDQ0akpOjuPYaUQBiIzBQSV+rFfDevYUub98fomAAUlOjAZzqBKLXCwvEEolEjBXogAnjhbij9evzHHre/QdKAMjp79tz+FxRKORMniR89q1cte+cz/PFl39gMJjIykqmb9+uLTVFOubGGyYSFxdOVVUjP/60rd3Pfl6yg917CggMVPLC8/MIDPSOqg9vQSKR8Ke7pjP/DsHp7cOPVvHY459jsVjo1SveI2y9fY1R113PRQ8+DMC2b77mq4cewKjTERITQ1xv91rE+yKDZ83m0qeeQSKTsW/ZUr74y31o6utRBgaROmCgu7snYqW5uZk9e/awZ88eAAoKCtizZw/FxcWEhYUxceJE/va3v7F27VoKCgr45JNP+Oyzz7j88suB9k6Wv//+O7t37+aGG25o52SZnZ3NxRdfzPz589myZQtbtmxh/vz5zJo1i759+7rrrXssMpmUJx6/gpCQACIignjs0cv56IM/88jfLiMuLpwT5fV88eV6h7R13Lpp26uX98Y22EUgJ2rd3JNzo7bW+ze3bPTOEDZSSsvq0Gr1bu4NbN0miEBGjsx0c0+cw6SJQhTmvv1FVFc7xin3fCgoqALwyxgYG9HRQoFfXZ0rRSDCelJaj1iXteluoqOs4+xCsY0Nvd5IS4vgzuU/IpAIACocFMt+ttRZxT7eXCQokUhoUghihJaSrsVLdhFIhZtECXWCqDYkMgqzwUxrtVWUkORd8z0oVZgv2tLujXdTVRVmk6nLY52Bpl4Y7+CoSCxmC60VwjzxtvEWERERcRQOl5I/++yzhIeLi+zeRLx1U6TyLJxA1q3LJSYmjP7928Q0arWWL78SYmDuuH2quEF+CoMGpZOXX8qePYVcfNEQl7admytsoA/o79vipx4ucAKxxcEolXKxgr8DJozvx8Iv1rN5yyEMBqPDLGsP5PqHkOl8mDp1ID/9vJ21aw/w8ENzzrparLpGzXffbwaEa7jIuaFSKbjl5sn8++Uf+ezztcyZPZzAQCV1dU28995yAO6cP40ePfynssyVSCQSbr3lQlRKBW+/u4y9+4oAIZZNxDkMu+JK5CoVv/7rRUr2Cbn1vUeOEj8jnUTOtOnIFQoWP/uMfbzThw5FJlq1egw7duxg8uTJ9n8/9NBDANx888188sknLFq0iMcff5x58+ZRV1dHWloa//znP/nTn/5kf81rr72GXC5n7ty5aLVapkyZwieffNLOyfKLL77g/vvvZ/r06QDMmTOHt99+20Xv0vtIT4vjh+8eQamU2++RgoJU3HfPDJ56ZhGffb6OGRdfQGJi5BnO1DU2xwbvFoEIwvqGhhaHRzy6Al+ocLYRFRlCVFQIdXXNFBRU0q+f+57nW1v19oKWEcMz3NYPZxIXF86AAT3Yv7+Ytetyufoq9zorFRYKIpD09Di39sOd2EQgrnICsVgsbU4gfvS8FmUVgTQ1t6LTGVzq9GNzAZHJpISGetfnzbliF4FUNGCxWFz+3FRvFYFERnr3pniTUkOUPpyW0maiR3Z+32VzpmhpaMDQ2ooiwLXzzCZKCIqMpLWyBcwgD1EgD/Wu57fAlBAaD9TRUtqMxWxBIu143oZERyOVyTCbTDTX1BDWSVSls9DUWZ1AIiLR17Zi1puRKqUoo/3j+iIiIiJyKg4XgVx77bXExfnvA4o3YnMCqapqxGw2n2ZPfCoFBZU8/uQXyGRS/v70XKZMESoPv/zqD5qbW+nZM46pU8RqxFMZPLgnXy3awN59hS5t12w2k+snG+gpKcKCpVqtpbGxhfDwIIe3obM6gfirHeuZ6NcvhejoUGprm9i1u4CRI86/SsxisfiNm835MHhQT2KiQ6mpbWLbtiOMs2bb63QGamqa7FWdnfHZZ2vR640MGNBD3DA/T2ZdMpQvvlxPWVkd3363mZtunMibby2lqbmVvn2SuOpKMSbD2Vx//XhUKjmvvrYEgFHinHYqgy+ZhUKl5Kfnn8NiMtF7pBhN4kyyJk3mKqWS7596EpNeT+9R4jXFk5g0aRIWi6XTnyckJPDxxx93eQ6bk+Vbb73V6TFRUVEsXLjwnPvpj4SEnL74e+GFA1j80zZ27TrOm2/9yosv3HBebdjiYLy5cj84SEVkZDD19RpKy+rsjpbegq2S3VbZ7u307pVAXd1Rjh13rwhkz95C9HojcXHhPi1KmDwph/37i1m95oDbRSA2JxBfHu8z4WonkIqKBpqaW5HJpPa4YX8gNDQAhUKGwWCivl5jFym4gvqTomD8RUQeFxuORCJBpzPQ0KAh0oWOHHq9kabmVqBN/OOtNMlbQAJGtR5Do16IK+mAgNBQVMHB6DQaGisriElLd2k/bU4gwZFRtJYL8z0gMcjr5ntAfBAShRSzzoSuppWAuMAOj5PKZITFxdNQfoLGygrXi0DsTiBRaG3jnRDUqWhFRERExNdxaByMt314iQjExIQilUowGk12S7iu2GOt/jCZzDzz7NcsW7aLuvpmvv1uEwB33jENmczhSUNez8ABaQAUFVXbq5NcQXFxDU3NrQQEKOhtzRT2VQIClHZnG2dFwuj1RgBUogikQ6RSKePGZgHw2mtL2Getwj8fyk7U0dCgQaGQed0itCuRyaR2Ud7KVUJ1+Jath7n+hte5+ppXWL16f6evLS+v56eftwOCS4X4eX5+yOUybr9tCgBffLme1av3s2LlXqRSCY8+crn4GekirrxyNC//6ybuvWcGFwzp5e7u+Dz9p07n+ldfY+L8O+k7YaK7u+PzZI4Zy41vvs34W29j4IyZ7u6OiIjXIpFIeOiB2chkUtatz2PT5kPnfC6z2UyBtXLfm51AoM0NpKzUuyJhLBaL/Vk70gecQAD7M/zRo+Vu7Yc9CmZEpk8/K0yaKERs7ttXRE2N2m39sFgs9utJT38WgVj/jm0xT87G5kCamZnoUjcMdyORSOzRIK6M3oE2JxB/iYIBoajMNrddHQlTb/2M9AXnFbPUjMoqRGg5Q0SJTYjg6kgYg06HvkWIfwmOikJ7wnujSSRSCYHJQr+1pV1fJ9w13haLpU10c/J4J3rfeIuIiIg4CofuQnRV8STiucjlMmJiwgDBDeRM2CryY6JDMZstPPfP73jkkc/QavVkZSUzYUI/p/bXWwkPD6JnT+HhfZ8L3UBsv6/srBS/iOhJdXIkjF4niEBEJ5DOufbacURFhVBcUsOf7n6fV179CY2m9ZzPZ5vDffokieN+BmwuTH9syOfZ577hoYc/obxcsEJ897+/YTR2nMf5v49XYzSaGDa0N0Mv6O2y/voy06YOomd6HE1NWp7++yIArrxiFFlZyW7umX8xdmwW11833qc3KzyJ9KHDGHfTLUhlvn+/4Qkk989hwm13IFd2XPUmIiLSPXr1iueqqwRHnX889805P0dUVDSg1epRKGR2h0JvxeYgV1pW5+aenB0tWj2trYJzY5QLK6udSUaGIAKxRQ25i21b20QgvkxCQgT9+6VisVhYty7Xbf2oq2umqUmLVCrxq1iSU7E5gTQ1adHpDE5vLy+vFID+bnTdcRdR1rGu7UZxoCNpE4E43snXk4k/KRLGldiFkpEhZ3QC9wYCkoV5cyYRiC0SprHStZ+lNkGCTKlEGRiEvl4HQECcd873oBTh3qql5AzjnWAdbxeLQPTaFow6YYyDI6PQ1wn/r4r3zvEWERERcQQO/bQ3m81iFIyXEh8vuCd0R4Fs25B99NHLuepKwe47L194UBIryLtm8KCeAOzde/7uCN1lv59EwdiwiUCKi53rBKJUiWKEzkjrEcuXCx9g1iVDAfhh8Vbm3fgGubkl53Q+MQqm+/Trl0JSUhStrQZ++20PEomEq64aTWRkMCdO1PHLrztPe01RcTXLlu8C4K47p7u6yz6LTCZl/vypAJjNFmJjw7hz/jQ390pERERERESkI/5053T690tFrdby1799ilrdctbnsEXBpKfFeb34PjlJEIGUnfAuJ5B66+ZlYKCSoCCVm3vjGOxOIMcq3FZ4VVnZQEFhFVKphGHDfF8wPnmy4AayZu0Bt/XB5gKSnBTlV44UpxIaGohCIVxPXeGom5snrFn07+9/IpA21xXRCcQVJLhLBGL9nIzyEbesAKszRWuFBrPB3Olx7hIltEXBRGLWmsACSEEW7J1ryjYRiL5Oh7Glc2Ge+0Q3QhGcIjAQuVyFWScUwilC/fdzVERERMT7JZ8iDqFHaiwAmzcf7vK4hgYNJVZL2AE5PXjwgdnMu348AMOHZ/h8Vcj5MmhQOgB79hS4rM3Dh04A0C87xWVtuhNblYzTnEBsIhCleAPZFWFhQTzx+JW8+fptJCVFUVXVyF8eWMDuc5j7B6zikQH9RRHImZBIJFw6ZzggVLV+8N8/8dADs7npxkkAfPLpmtMqqD76aBVms4VxY7P8crHLmUyc0N8uXnrowTkEB3u33aqIiIiIiIivolIp+NdLN5CQEEFJaS2PP/EFBoPxrM5xvEAQgfT08igYOCkOxsucQGybW5E+4gICkJ4Wi0wmRa3WUuPizVkb27YfBQR30bAw36+mnTxJEIHs2Vvo8mgMGwXW60l6T/8utJNIJERFWR0qapz7uzAYjBw+LKyf+aUTiHWc610YXy20J4hAIv1NBBIfCQgiO1diE0v6iluWPEyBPFQBZuzRHx1hEyWoKytd1TUANPVt0STGZmEtTh6s8NoCWlmgHGWMsK6lLe1ivG2iG1eP90miG6NGGG+pUopU6d3ibBEREZHzQRSBiAAwx7ppuGLlni5V37ZK/h49YggLC0IikXD3ny/myy8e4OV/3eS1NzGuYrBVBHLkaPl5xWN0F7PZTGFRNdBWQeTrODsORqcX42DOhmHDMvjsk/sYOrQXLVo9Dz38Cduti4jdQavV262PRSeQ7nHDvAl8+vF9fLzgHruo47JLRxAXF05VVSM//rQNECLc3v9gBb+v3g/A/DtElwpHI5FI+M8rt7Dws78wUYxKExERERER8WiiokJ5+d83ERSkYveeAl7612IKi6qorGxArW7pNFbPhs0JpFdP7xeB2OJsvE0EUmvdsI+O9o3NLRAESqmpwu/j2FH3RMJs22aNghnpH0U/iYmRZGenYDZb+GHxVrf0odDqBNIz3b9FICBEUYPzY0qOHK1ArzcSFhbo9ZFe50KU6ATiUtzmBGIV3fiKE4hEImmLKOkiEqZNlOAuJ5AouyhBHuzdRYXdiYSxjbfa1c4rnYhuRERERPwZUQQiAgiuHv37p2IwmFj8Y+cPufs7iGWQSCSkp8WJm+LdIC4unKTESMxmC/v3Fzu9vYqKBnQ6A0qlnMTESKe35wn0sIlASmsxmzu3AjxXbFURKjEOptsEBal45d83M3pUH3Q6A3979DM2bjx4xtdVVDTwf099iclkJi4unLi4cBf01vuRSCRkZiaiULTNUZVKwS03Twbg08/WomnR8ebbS/n0s7UA3HvPDDIzE93RXZ8nJCSAXj5QESwiIiIiIuIP9O6VwPP/uA6pVMKy5bu5ft7rXH7lv7l45vPMmvNCl0Jzmwiktw987icnC3EwVVWNdidEb6DOxyqcbZwcCeNqLBYL23cIIn5/cn696srRgOCkuG37EZe3b4uDSRdFIERF28QJaqe2k2eLgumX6pcFbrY4mDoni21Oxe9FIK52Aqn3PceswFThvWhLmjuNTXNbHEyDEE8SHHmSKCHEu0UJQbbxPqHBYup43f3kOBhXRtlp6n1vvEVERETOF1EEImLnumvGAfDD4i2nxQXYOJBrFYGIsQznjD0SZm+h09uyLRyk9RAsZP2BhIQIZDIpOp2B6mrHLhJYLBZ+srooXDCkl0PP7euoVApefOEGJozvh15v5LEnFrJr1/EOjzWZzHz73Sbm3fg6m7ccRqGQ8ec/XeTiHvsesy4ZSnJyFA0NGu6Y/y5ff70RgIcenM311413c+9ERERERERERDyDUaP68OQTV5GUFEVoaCAKhWAhrVZr+d8nqzt8jdFooqhYcGD0BfFnZEQwQYFKLBYLJ8pPdwOpq2vixX/9wK23vU11daMbetgxtugOW6yBr5DRWxBru0MEUlfXjFqtRSqVkJWV7PL23cXFFw1m1iVDMZstPP3MIk6ccJ0rjsVioaDA6gTiA85C54vNCcTZ4oRcqwiknx9GwQBE2R1XRCcQV9DmBFLv0nZtn5ORkb4z3oEJQUjkUkxaI7qajl23w6yihKaaGsxG14lbT44nMfiIKEEZHYAsSI7FaEZ7oqXDY8LiBAGjobUVbaPr7hPtTiCRkaIIRERERMSKf+wKi3SLCRP6kZAQQUNDC8t/23Paz41GE/n5pYDgHCJybgwe3BOAvfsKnd5Wob16JNbpbXkKcrnMXrnm6EiYPXsLOXT4BEqlnMsvG+nQc/sDSqWc55+7jsmTcjCZzDz1zFenLRo3NrZw730f8trrv6DV6hk0KJ1PP7mPi6YPdk+nfQi5XMbtt00BoKioGolEwuOPXWGvchMRERERERERERGYcfEQvvvmr/y27CnWrXmO/310DwArV+6luPj0Z4ySkhoMBhNBgUri473fvU4ikZCcfHokjNFoYtHXG7jmuv+wZMkODh0+wdZt3Y96dDZ2JxAfsbm3kWF1AjnuBhFIaWktAAnxEe2cBn0diUTCww/NITs7BbVay+NPfkFrq94lbdc3aGhsbEEikZDWI8YlbXoyNlFXTY1zxQm2+Ov+fioCibaOc22te5xAIv1OBCK4NavVWlpadC5rt67e9z4nJTIpQSnC/Gkp6vg6ERIVhUyhwGIy0VRT7bK+2Z0ponxHlCCRSAjqYY2EKe54vOUqFcFRwn2kKyN4fDF+R0REROR8EUUgInbkchlzrx4DwNffbDgtSuN4QSVarZ6gIJVoSXkeDBqYDghWk505rjgKf7UQ7dFDEL0UO1gEsujrDQDMnHGB31UpOAq5XMZT/3cVGb0TqK/X8ORTX2EwCCr8urom7r3/I/buKyIoSMXf/nop77x1B+lp/jV/ncm0qYPo3z8VmUzKM09dzexZw9zdJRERERERERERjycrK5mxY7Iwmy18+tma035ui4Lp2TMeqdQ3lllswvrDh0+wfftRPv1sLTff8hZvvrUUjUZnd5qsqmpwYy/bU+ujIhBbHExhUbX92clVlJYJIpDklGiXtusJqFQKXnj+eiIigjlypJx/vfyjQ2zt1eoWfl6yvdP1oEKrC0hiYiQBAcrzbs/bibY7gThPBNLY2GIXPPXrl+K0djwZW+yOLS7EFZjNZmpqbc4UvnXdPhPBQSpCQwMBIQrZVfiqWDIoTbhOdCZKkEilhMULzkqujIQ5WZRgavYdUUJwD2G8NcVNWMyeE8HTJroR42BEREREbPjG6oSIw5g9axhBQSoKC6vZurV97umBA0IUTP9+qX4TLeIMUlOjiYoKwWAwkX+w1KltFdotRP1rE71HqlAtU1JS67BzlpTUsGHDQQDmzh3jsPP6IwEBSl54YR4hIQEcOFDMW+8so7q6kbvv/ZBjxyqIiQ7low/+zOWXjfSZRXRPQSaT8vabd/DrkieYLrqriIiIiIiIiIh0m1tvvRCAFSv32jcLbRwvEEQgvhAFY8PmBPLhR6v4y4P/4/0PVlBQWEVERBCPPXo5t9w8GXDt5tWZqLdvbvlWHEx8fDghIQEYjaYOnWiciW2upyT7nwgEID4+gn8+dx0ymZTfftvDho0Hz/uc7/33N17612LeeXdZhz+3FfP09LNins6wiUBsYgFnkGeNgumRGkNYWJDT2vFkoqwiDK1W7zJniuKSGlpadKhUClL8UGiWEB8BQEVlg8varKoS3HhjY8Jc1qYrCEoJASkYGvXoGzqev+FxrheBqKuE+8OQmNg2Z4pQ7xclBCQEI1VKMbea0FVrOzwm3A2iG9t4h8bEiCIQERERESvi7ppIO4KDA5gzezgAi77e2O5nBw4ID0U5Of5pjegoJBIJgwelA/D+ByvROOnhymKxtMXB+JmTQlqa4ATy++/77Nnc58s3327CYrEwZkxfvxtPZ5CSHM0zT80F4LvvNnPLbW9TXFxDfHwE775zp9+517gSlUrhtwtbIiIiIiIiIiLnSr/sFEaP6oPJZOaTU9xAbE4gviQCsT2zAiQlRTF1ykD+cv8lLPryYebMHk5iomBlX1npuqz3M+GLNvcgrCH0ts6tf7/yI7t3H3dZ2zYnEH/coLUxZEgvrr1mLABfW91BzxWLxcKmzYcA+HnJDvucPZmCApuzkPhMDCc7gTjPoSLXKgLp399/1zuDglQEBgrOM84c65PJyxMK47L6JiGXy1zSpicRnxABQEVFvUvaa2rSotEIa9C2OBpfQaqUEZhojYTpxA0kzOZM4aJ4EovZjLpKWJcPi4rDYhIcM+RB3i9KkMgkBKYI91qaTiJ4wuNdO94AaqvgJCwuHlOL4JwmikBERET8HVEEInIaV189GqlUwvYdR9mx85j9+wdyBSeQnP493NU1n+HGGycRHKxi795CHnjwfzQ1dayaPR+qqhpp0eqRyaR+t2AzeVIOPdPjqKlt4p57P+TY8fO74VSrW/h16U4Arr1mnCO6KAKMHZtlryCsr9eQlBTFu+/M97v5KiIiIiIiIiIi4h3cdusUAH77bY99cxzaRCC9fUgEMmZMXxZ9+RBLf3mS7775K/949lqumTuWsDDBvt5WwVzpwgrmrrBYLNRanQKifUwEAnDtteNRKGTs31/MPfd9xL33f8R+q1urMykrFazs/f0Z7aorRyOTSdm1u4CjR8vP+TwFBVVUV6sB0OuNfPfd5tOOKRSdQNph+3uuq2s+LbbaUeTmCiKQfv38VwQCbQK6Wie6rpyMv497gl0E0uCS9mzthIcH2QU/vkSQNaKkpTNRgovjSZpqazEbjUhkMgKUgvOKLEiORCZxSfvOJvikCJ6OotLCXDzeBp3OHgcTEiZ8fkpkEqQB/icwExERETkZUQQichqJCZHMumQYAM/8fRHV1Y3U1zfbbUD7iyKQ86ZvnyTefON2QkMDyc0t4b6/LKChQePQNmwWoj1SY/xOUR8SEsDbb91BZmYidXXN3HvfRxw6VHbO5/vp5+20thrIzEhk6AW9HNhTkdtvm8Klc4YzfHgG770zn0Qfq0YQERERERERERHxHfr3T2XkiExMJjOvvbaEjz9ZzYsv/UBpmbBR7ktOIBKJhB49YoiICO7w5/En2dh3tPjvalpadOj1QtWnrzmBAEyc0I9vFj3M5ZeNRC6XsWvXce6+5wOOHXPe5orFYmlzAkmOclo73kB8fASTJvYH4NsOhBvdZes2IXY5NFQQU33/w5Z20RulpbXk5QvuCD17+s715Hyw/T0bjSbUascXUJnNZvuY9/dTMYKNaGuUVkcONc7A3x1Y7HEwrhKBWEWbtnZ9DZsIRFfTao9eORlXO1PYXSliYzFrBQGbL7lSBCaHIJFJMDYZMNSf7nLuatGN2vp7VQYGIUMQOclDFEgkviG6ERERETlXRBGISIc88JdLyOidQH29hief+oq9+woBIWbDVvkjcn5kZ6Xwzlt3EBERzOHDJ7j3/o8cqra3R8H4afVIZGQIb71xB/2yU2hsbOG+vyzg0OETZ30eg8HId98LizzXXjNWvHl0MDKZlEcfuZw3XruN2Nhwd3dHREREREREREREpEtuu01wA9m85TAffrSKJb/swGKxkJQURWSk74kPOiM2NgyJRIJeb3R4QcO5UFsrbFoGBSoJCPC9CmcQhAh/++ulfL3oIQYOSMNkMrNs+W6ntdfY2EJzcysSiYSkJP8WgQBcfdUYAH5bseec57xNBHLzTZNITYmmqUnLz0u2A4IzyP89/RWtrQYGD06nT59Ex3Tcy1Eo5ISHC3GmJSU1Z/XaxsYW3njzV2Zf+iK33fEOr7z6E78u3Ulxcdt5SkpraWrSolTKychIcGjfvQ2b4KbOBU4gra16u4jNX8U3dicQFzlq2WJnbO36GvIgOao4Yc+io0iYNlFCpUv601gpuEaFxydgbBZEKb4kApEqpAQmCUJhTUfjbRXdqF0kurGJTcIT4jFprFEwwb4z3iIiIiLniigCEemQgAAlL7wwj5CQAA4cKObfL/8IiFEwjiYjI5F335lPTEwYx49Xcs+9H1JV5ZhMZZsTiD/nyIaFBfLG67cxaGAazc2tvPqfn8+6Su2XX3dSXa0mJjqUqVMHOqmnIiIiIiIiIiIiIiLewICcHtx264UMHdqLS2YOZf4dU3nq/67mvXfm+5VgXKmU22MaKisd8wx7PtTVCxsQUdGhbu6J80lMiOTaa8cC8Pvv+5wWkWFzg42LDUOlEjdSBgzoQVbfZPR6Iz/9vP2sX6/TGdizpwCA0aP6MG/eBAC+WrQBg8HI2+8u4/DhE0REBPHsM9cglYpLtjYG5Ahrkc8+9+1pLhUaTSvvf7CC/7y+hOW/7aa4uIbWVj2fL1zH1de8wtffbKS2tomDB8v4YfFW/vnC91x7/X948KGPyc0tIc8aSZLVN9nvXHRPxR4HU+d8J5BDh05gMpmJiQ4lLs4/C4ISrE64ropVszmOJPiwA6/NDURTfPoctolA1JUVLnEwaxMlJNidSXxNlNBVBI9tvLVqNfqWFqf3xTbeYT4quhERERE5V+Tu7oCI55KSHM3T/3c1jzz2OQ0Nwod1To4oAnE06WlxvPvOfO67fwHFJTXcfc8HvPnG7e0qbUrLapHLZGel1vZ3JxAbwcEBPP/c9Vw19xUOHChm0+ZDjB2T1a3X6nQGPv5kDQA33TQJhUK8ZIqIiIiIiIiIiIj4O3fcPtXdXfAI4uMjqKltorKygaysZLf2pc7qBBLlJ24so0f1JShIRWVVIwcOlDBwYJrD27BFwSSnRDv83N6IRCLh6qvH8Nzz3/LD4i3Mu378WYkG9uwtRK83EhcXTnp6HMnJ0Xz00Sqqq9X84/lv+f33/QA89eTVokvmKTz22BXcedd/OXGijr898hlvv3kHgYFKioqreezxhRQVVbc7XiaTYjIJ4qjMjERuv30KBr2RvPxS8vJLOXCgmK3bjrB12xEiIgSXkX5+6kZxMtFWEV1tnfOdQHJz26Jg/ElAeTK2Nd6amiYMBuq/amcAAQAASURBVKPT1xzbRCARTm3HnQT3CKV+RxWt5RpMOhMyVds1Oiw2DiQSjHo9LQ31BEc61+HK5jgSnpDos6KEoB4hsAn0dToMzQYUJ72/gJAQVCEh6JqbaaysJLZnT6f2xRbzE5Hou+MtIiIici6IsnKRLhk3Lpubb5pk/3dOjvhQ5AxSkqN57507SU6O4kR5PXff+yEbNx7kv++v4Lp5rzH3mle54qp/c8ttb/PxJ6spKKjsUrVssVgoLLA6gfi5CASEB9mrrhwNwAcfruywUqqj8fxh8VZqatTEx0cwZ/Zwp/dTRERERERERERERETEW4iPFzaqXWVl3xU2d4CoaP8QgahUCiaM7wfAqtX7nNKGzQkkJVkUgdiYcuEAoqJCqK5Ws3Zd7lm9dutWIQpmxPAMJBIJSqWca66xOboIApB5109g9Oi+ju20DxAVGcJrr95CeHgQ+fmlPP3MItatz+OO+e9SVFRNbGwYV101mgEDeqBUyjGZzMTHhfPU/13Nx/+7hwnj+zFlykDuu3cm771zJ4u+fIhLZg5FJpO2Fb31F9c7o6IEEYhNVOdMcvMEEYg/i28iI4JRqRRYLBaqqtROb8/2We3LTiCKcCWKCBVYQFvafh7LFApCY2KANtcIZ2ITJYQn+K4zhSxATkCcIKTr0A3EGgnT6IJIGLvziugEIiIiItIOUQQickbuuH0qV14xissuHUGvnvHu7o7PkpAQwbvv3El6eixVVY387dHP+OzztRQVVSOXy5BKJRw+fIIPP1rFvBvf4D+vLen0XLW1TTQ1tyKVSkhNjXHdm/Bgbpg3geBgFUeOlLN2bdtijVar57HHF3LFVS/bKxEANC06Pl+4FoDbbr0QpVJ0AREREREREREREREREbFh20jyCBFInX85gQBMmTIAgDVrDthdDxxJaVkdACmiE4gdpVLOZZeOAODLL//g8JETGI2mbr1267bDAIwckWn/3mWXjiAkJAAQHBHuunOag3vsO6SmxvDvf92EUiln46aDPP7EQjQaHYMHp/Pxgnt46IHZvP/en1i14hm+/uohvl70MDMuHtJhrE5ychRPPnElX33xILNnDWPSpP6MGSOKb2wRX6dG7jiDPKsIpL8fi0AkEslJYsp6p7dXUSG04ctOIADBacI81nQlSnCFCKSjOBgfFCUEpVkjYYo7j4RxuejGR+N3RERERM4FjxaBvPfeewwcOJCwsDDCwsIYPXo0y5Yts/9cIpF0+PXyyy/bj5k0adJpP7/22mvd8Xa8FplMysMPzeGRv13mtxZ9riI2Jox33ppPVlYyAQEKJk3qz9+fuYalvzzJLz8/wROPXcHQob0A2Lz5UKfnsUXBpCRHi+IFK+HhQVx7zTgAPlywCpPJjEbTykMPf8z6P/KorGzgLw8sYLc1o/ebbzbS0NBCako0My4e4s6ui4iIiIiIiIiIiIiIeBy2zatKDxCB2OILoqL8RwQyYngGoaGB1NY2sWdvgcPPX2ZzAklxrmW+t3H5ZSORy2UcPFTGLbe+zbSL/sGf/vw+Py/Z3ulrqqoaKSioQiqVMHx4hv37wcEBPPTgbEaP7stzz153VvEy/siAnB48+8w19rXJq64azZuv3253sACQy2WkpsZ0ay0sJSWaxx+7gheen0dAgNJp/fYWbNfPulrnxsFU16iprGpEKpW4PUrM3cTHRwBtUS3OQqczUF+vASDRx0UgQanC9UB7QoPF3N71OSxeKG51tjOFxWKxtxEWHY9ZLwg1fVGUENRDuG60VrZg1rcXRdrGW+1C0U1YvG+LbkRERETOFo/eHU5JSeGll14iI0N4QPr000+59NJL2b17N/3796e8vLzd8cuWLeP222/nyiuvbPf9+fPn849//MP+78DAQOd3XkTkHImMDOGjD/6MxSIIcE5m1qxh5AzowfXzXqdR3dLpOQqsIpB0MQqmHddeM5bvvt9MUVE1332/mZUr95KXX0pISADp6XEcOFDMQw9/wlNPXsVXizYAcPvtU8WFGBERERERERERERERkVOwbV5VVja6tyNAvc0J5KTNYF9HoZAzaWJ/lvyyg1Wr9jH0gt4OPX9pmRgH0xHR0aH835NX8euvO8nLL0Gj0bFvfxEHcouZPCmH0NDT1xy3bT8KQHZWCmFhQe1+dvFFQ7j4IrHwpLtMnNifd96+A4Pe1E5QI3L+2K6ftXXNWCwWpxUC5lldeHv1jCcoSOWUNrwFmyuHs0UgNseuoEBlh9coX0IZE4BUJcOsM6Gr0hKQ0HbNdZUzhbaxEYNWC0BgYARqNEhVMqQKj67HPicUoUrkYUqMaj3a8haC09ruw1wVB2MyGmmqrgYgJDyWenMdSEAW5NFbnyIiIiIuwaM/eWbPns3MmTPp06cPffr04Z///CchISFs2bIFgISEhHZfP/30E5MnT6ZXr17tzhMUFNTuuPDwcHe8HRGRbiOVSk8TgNgIty4YaDS6Tm1HC0URSIcEBwdww7wJALzx5q/k5ZcSHh7EW2/czltv3M7oUX3Q6Qz839Nf0dzcSu/eCUy1WuyKiIiIiIiIiIiIiIiItNEmAmlwaz9A2LQE/3ICAZg6ZSAAa9Ye6HYsSXdQq7U0NgqFJ8miCOQ0pk8bxBuv38Zvy57iqy8fJCkpCrPZwq7dHTuy2KNgRmZ2+HORs2PwoJ6iAMQJ2K6fRqOJpiat09rJtUbB9PPjKBgbCS5yArGdPz4hwuddviUSCYHJwQC0lLWPNnKVKMF2/uCoaNAL4+3LrhRB1vHWnjreLhLdNFVXYzGbkSkUqBTCdUwerEAi9e25LiIiItIdvEYOZzKZ+Pbbb9FoNIwePfq0n1dWVvLrr7/y6aefnvazL774goULFxIfH8+MGTN45plnCA3tujpEp9Oh0+ns/1ar1QAYDAYMBsN5vhsRd2H73Xnz7zAgsO3Ptq5OTWQHmcfHj1cC0CM12qvfqzOYM3soXy3aQF1dM1GRIbz66k306imIZf7x7DX84/nv+OOPfABuu2UyJpMJk8lxi2nuxBfmv4jIuSLOfxF/RZz7Iv6Mq+b/yedfv349L7/8Mjt37qS8vJzFixdz2WWXtTs+Pz+fRx99lHXr1mE2m+nfvz/ffPMNPXr0AIRn0b/+9a989dVXaLVapkyZwrvvvktKSor9HPX19dx///38/PPPAMyZM4e33nqLiIgIp75XEZGTsW1e1dU1o9MZUKnct8FRZxWBRPuREwjAkCE9iYwMpr5ew44dxxg1qo9Dzlt2QnABiYkOJTBQjMnoDKlUSlqPWEaOyGTxj1vZuesYEyf0a3eMyWRmu9UJZMRwUQQi4rkolXJCQwNpatJSV9d8mmuNo8i1OoHk9BdFIAkJkQBUVNY7tR2bCMTWnq8TmByM5rgabZkGhrZ9v02UUOnU9m2ih/CEBIzN1mgSH4yCsRGYHIw6vx5tmaadi5DLRDf2KJh4TC1GwLfHW0RERORs8HgRyP79+xk9ejStra2EhISwePFi+vXrd9pxn376KaGhoVxxxRXtvj9v3jx69uxJQkICBw4c4PHHH2fv3r2sXLmyy3ZffPFFnn322dO+v2LFCoKCnHMTLOI6zvT793RUKhk6nYklv/xGTPTpNn6Hj5QBUFp6iKVLS13dPY/n4ump7NtfzehRSRzM38nB/LafjRwegtkkZJI2Nh5j6dLjbuql8/D2+S8icj6I81/EXxHnvog/4+z539LSFtOo0WgYNGgQt95662kxpQDHjh1j3Lhx3H777Tz77LOEh4eTn59PQECA/ZgHHniAJUuWsGjRIqKjo3n44YeZNWsWO3fuRCYTYgqvv/56SktLWb58OQB33nknN954I0uWLHHqexUROZmwsEACAhS0thqoqmokNTXGLf2wWCzU1TUB/ucEIpfLmDwphx8Wb2XV7/scJgIpLRVEIMkpogtIdxg2rLcgAtlx7LSfHTpUhlqtJSQkgH79Ujp4tYiI5xAdHUJTk5bauianuAubTGYOHhLWLEUnEBfGwVQIIhObeNPXCUwS7gX0ta2YtEZk1oJKmwhE7WRninYiEI1VBOLDTiABCcEglWBsNmBQ61GGCzFPtvFuqqnBZDAgUzhnDGwik/D4k0Q3PjzeIiIiImeDx4tA+vbty549e2hoaOD777/n5ptvZt26dacJQf73v/8xb968dotnAPPnz7f/f05ODpmZmQwbNoxdu3ZxwQUXdNru448/zkMPPWT/t1qtJjU1lenTpxMWFuagdyfiagwGAytXrmTatGkonHTj4QoWfnGEshN1DB48jIED0tr9rKFBw79e3opEIuG66y4lIECs2jlbZs92dw+cg6/MfxGRc0Gc/yL+ijj3RfwZV81/m2skwIwZM5gxY0anxz755JPMnDmTf//73/bvnRxn2tjYyIIFC/j888+ZOnUqAAsXLiQ1NZVVq1Zx0UUXkZ+fz/Lly9myZQsjR44E4MMPP2T06NEcOnSIvn37Ovotioh0iEQiISEhgsLCaiorG9wmAmlubsVgENwb/U0EAjB16kB+WLyVdetzeeRvl6FUnv9Sn00EkiJGwXSLC4b0QiKRUFBYRU2NmpiYtnXD9Van0WFDeyOXy9zVRRGRbhEVGUJhYTW1tc1nPvgcKCioRKvVExSkIi0t1ilteBM2EUhVVSNmsxmptONo8POlwhrbZmvP15EHyVFGqdDX6dCe0BDSOxxoc6ZobW5Cp9GgCg52Svv+JkqQKqQExAfSWt6CtkxjF4EER0YiUyox6fWoq6uITEp2SvsdOq+EePy2p4iIiIhL8PiroVKpJCNDyHkcNmwY27dv54033uD999+3H/PHH39w6NAhvv766zOe74ILLkChUHDkyJEuRSAqlQqVSnXa9xUKhbiA7gN4++8xPDyIshN1aDT6095HaWkdAImJkYSGOudmVsS78fb5LyJyPojzX8RfEee+iD/j7Pnf3XObzWZ+/fVXHnnkES666CJ2795Nz549efzxx+2RMTt37sRgMDB9+nT765KSksjJyWHTpk1cdNFFbN68mfDwcLsABGDUqFGEh4ezadOmDkUgYtyp7+Lu2K+42HAKC6spO1HHIDf1oaqqAYDgYBVSqf9FoGVnJREbE0Z1jZqNG/MZNy7rvM9ZUlIDQGJihMeOp7vn/skEBSnIyEjgyJFytm07wrRpAwHhur9ixR4AJk7s5xF9FfENnDX/IyKFdcTq6ganzNe9+woByM5Kxmw2YTb7RvzyuRIREYhMKsVgMFFZWd9OQOZIyssFJ5DY2FCfuA51Z/6rEgPR1+nQlDSh6iG4uksUCgLCwmhVq6ktLSG2V2+n9K/hxAkAQmJj0TfphbYDJD4x9p2hShBEIC0lTQRltkXzhcXFUV9aSm1pKSGxjncXAqgvbxtvg328pT473u6IPBUREfFePF4EcioWi6Xd4hXAggULGDp0KIMGDTrj63NzczEYDCQmJjqriyIiTic8XLh5VTe2nPazgsIqAHo6wbZRREREREREREREROTcqKqqorm5mZdeeonnn3+ef/3rXyxfvpwrrriCNWvWMHHiRCoqKlAqlURGts9sj4+Pp8Ja5VZRUUFc3On3+nFxcfZjTkWMO/V93BX7pdM1ArBhw3awlLulD8UlgqhJqZSwdOlSt/TB3aSlBVFdo2bhFytQq88/0nT/gaMAVFUVefyYekrkXWSE8N+ffl6PwSDE8paUqqmobECplNGkLmTp0mL3dVDEJ3H0/Fc3CgKwHTv2ERLcAEBBQQMnyjVERwcQEx1IZGQAMtm5OVasWClcn5TKVo+/triK4BA5arWexT8uIzkp9MwvOAcKCoTP5+PH8tC1ljilDXfQ1fwPNgTSm1QaC+vZ0rATJNYfBASCWs3qX5cS2ts5IpCSI0cAOFxSQmRUNgrkbNmzFe0B3Rle6b0EGJX0IZ2WE80s+3UZFokFAL01ynLDypXkljsnhqcg9wAAhRWVxCvqCUDFzrzdNB85fd/El3Bl5KmIiIj34tEikCeeeIIZM2aQmppKU1MTixYtYu3atfbcYxAqmL799lteffXV015/7NgxvvjiC2bOnElMTAx5eXk8/PDDDBkyhLFjx7ryrYiIOJQwqwikUX36h3FRUTUA6emiraKIiIiIiIiIiIiIp2A2mwG49NJLefDBBwEYPHgwmzZt4r///S8TJ07s9LUWiwWJRGL/98n/39kxJyPGnfou7o79qqldx959qwkPj2PmzJkubx9g9ZoDQD6pqfFu64O76dmzlB07P6SgUM3kyVMJDDy/WNgPP8oFYPasKfTpk+SILjocd8/9U4mOOcK27QupqtYzY8YMJBIJL7/yMwBTpwzk0ktnubmHIr6Es+Z/Q+Mf7NhZQWSkcD2tqGjgP6+/aY/cApDLZfTJTGTUqExGj+pDZmZip/cfJ2OxWFj4xZsAzJkziTGjxfg6gGW/VbBvXxHp6dlMmzrQ4ec3Gk28/Oo2AC6/fIbT3EZcSXfmv8Vk4cS3x1EY5UwddSHK6AAAFm/eyJGqSjKSkxjqpHuGNz94D4ALL56JfqvwvQkXTUKm8t1IMIvFQvkPhaCFyRdMJCBR2LtYlneA/UVFpMXFMs5J4/3hoi/QAOOnTUd2KAALFkZPHoMi7PzuhTwVd0SeioiIeC8eLQKprKzkxhtvpLy8nPDwcAYOHMjy5cuZNm2a/ZhFixZhsVi47rrrTnu9Uqnk999/54033qC5uZnU1FQuueQSnnnmGWQy3/3QFfF9wsOsIpAOnEBqapoAiIsLd2mfREREREREREREREQ6JyYmBrlcTr9+/dp9Pzs7mw0bNgCQkJCAXq+nvr6+nRtIVVUVY8aMsR9TWVl52vmrq6uJj4/vsG0x7tT3cdfvMikxCoDq6ia3zaXGRi0A0VGhfjufBwxIJykxkhPl9WzffowpU859I1HToqOuvhmAtLR4jx9TT7mODb0gA7lcRmVlI1XVTcTGhLF2nSCmmTHjAo/oo4jv4ej5HxMjrCXW12tQKBR8+vk6DAYTyclRhIcFUVhYRYtWT15+KXn5pfzv4zXERIdy5ZWjmXf9eOTyztfbi4qF6DC5XMbwYZni34SVPn2S2LeviNzcUmbOGOrw89fUNGM2W1AoZMTHRyKV/j979x0fVZX+cfwzM5lUkkkjDQKE3ouAVBUQAioioqirYkdd21rX1d+uoqtrW9uiawMrKOoqKopUBUR676GFnhBID+kz9/fHJAMxAQJkMknm+369fJnce+acc+8cJnNnnvs8Z5fFpS465fq3QkBsEPn78yhJKyIoxpllJaZdO3b8vphDWzbT99rranxOxfn5FJZ9eR4aFksaKZh8TPgF+VUrWKo+C2zaiLwd2RSnFhLczPlaEtu2HRtn/sShTZvc8m/ecDjISXNmRQ+LiiN7s/N7EX9bAGafhrPWq1JXSp6KSN1Wp18JJ0+ezJ49eygqKiItLY158+ZVCAABuPPOO8nPz8dmq/yFd3x8PAsXLiQ9PZ2ioiJ27tzJm2++SXh4eG0dgohb2E6RCSQzy/lhTXhYo1qdk4iIiIiInJyvry+9e/cmKSmpwvbt27fTvHlzAHr27InVaq2Q3jclJYVNmza5gkD69etHdnY2K1ascLVZvnw52dnZrjYitSU6OhSAw4ezPDaHjAznNXBEhPdeA5tMJlfgx/xfNp5TXwcPpgMQGhpEo0b+5zw3bxEQ4EunTvEArFq1iyVLk8jLKyQqykaP7gkenp1I9USEO78oz8jIIzn5MLNmrQVgwlPXMumDe5g752m++foxnvjbGC68oCMBAb4cTc/lvffncN/9k0hJyTxp30uXOt//9OieQGBg5cBUb9Wrp7MkyerVu9zSf2qq8zmJirI1qACQ6ghoEgRAwYFjrm0JPXsBsHf1aoyyLH01Kfuws+SJf6NgTA7n/dc+jawNPgAEICDO+T6s4GDl871/00ZKimq+HM6xzEzsxcWYzGYCAkIBsARYGnwAiIhIdenVUKQeCinLBJJTRSaQ8g/AwhQEIiIiIiJSq/Ly8li3bh3r1q0DIDk5mXXr1rFv3z4AHnvsMb788ks++OADdu7cyVtvvcWMGTO45557ALDZbNx+++088sgjzJ8/n7Vr13LjjTfSpUsXhg4dCjgzh4wYMYLx48ezbNkyli1bxvjx4xk5ciTt2im1utSumJhQAFIPZ2EYhkfmkJHhvOvT26+Bh5YFgSxZmsSxY4Vn3c+BA84gkKZNI2pkXt7kxC9zZ89eB8Cwod287otXqb/Cy4Lp0jNyef+DuTgcBhde0NEV4GQymYiNDePykb148YUb+fmnv/N/T15FYKAfGzbu5aZb/sOcueur7Hvp0u0A9O+v9yon6tE9AbPZxL79R0lLy67x/lNTswCIjQk7dcMGKKCJcz0XpuXjKHaWNIrr0BFrQAD52Vmk7a75wJvsVGcQiC02htK8EgB8grwjo0JAnPP7ipKsIkqPOY89onlzGkVEYi8u5sDGcwtSrUr5+Q6ObIyj0BnU4y3nW0SkOnQVIlIPnTITSFkQSHi4d38AJiIiIiJS21atWkWPHj3o0aMHAA8//DA9evTgqaeeAuDKK6/k3Xff5eWXX6ZLly5MmjSJb775hoEDB7r6eP311xk9ejTXXHMNAwYMIDAwkBkzZlQoaTp16lS6dOlCYmIiiYmJdO3alc8++6x2D1YEaNw4BJPJRHFxKZlZx07/ADcoL10SXnYHu7dq3TqGZs0iKS4uZdFvW8+6nwMHMgBo2kRBIGeqPAhkxcqdLCnLejBieHcPzkjkzJyYCWThoi2YTCbuHD/spO19fX247NKefPrx/XTu3Ixjx4qY8MyXfP7FbxXaHcsvYu26ZAD69VUQyImCgwNo364JAKvckA0ktSxTV3nQpjexhvjiE2wFAwpSnJ+hW6xWmnXrDsCeVatqfExXEEj0CUEgjbwjKMHi74NfY2cGsfJsICaTiRY9nWWO9qx2w/kuy7xii4mhNK8U8J7zLSJSHQoCEamHbGWZQLL/kAmkuLiU3DznHT8KAhERERERqV2DBg3CMIxK/3388ceuNrfddhs7duygoKCAdevWccUVV1Tow9/fn4kTJ5Kenk5+fj4zZswgPj6+Qpvw8HCmTJlCTk4OOTk5TJkyhdDQ0Fo4QpGKrFYfIiKcXxp6qiSMqxyMl18Dm0wmVzaQ+b9sOOt+ysvBNG2qUspnqmPHpgQE+JKbW0BpqZ02rWNp1SrG09MSqbbQ0CDM5uNlKy4Z0YOWLaNP+7i4uHD++9Z4brzhQgA+/WwBBQXFrv2rVu2itNROkybhxMcrwOyPevVyBpCtWuWGIJCyTCDeGAQCx7OBFBw6HqhaHpSQ7I6ghNQUoCwo4Zh3BYHAyc63sySMW4JAUsrOd3S01wXdiIhUh4JAROqhkLJMIDk5BRW2Z5bdAWWxmAkODqj1eYmIiIiIiIh3iY62AZ4PAtGNEMdLwixfvoOcKjKHno5hGOzc5byrVplAzpzV6kP3bi1cvw9P7O6xuYicDYvF7Mo+7ONj4fbbLq72Y318LNx1ZyJNmoSTk1PAzJ/XuPYtLcuM069fO0wm08m68FrlWYRWrd5V46XVjgeBeF85GAD/KOfn48UZx8uklQcl7F+/HntpaY2O582ZQAD8Glc+3wll5zslaRuFeXk1Ol55JpCQmBhK85yBZyoHIyJynIJAROqhEzOBnHhxkJnpjLINC2ukiyoRERERERFxu5joUAAOH86u9bENwzghCMS7y8EAtGgRRetWMdjtDhYu2nLGj//8i9/YuvUAFouZjp3iT/8AqaRn2Ze5JpOJYcO6eng2ImcuMiIEgNGjzyc29swCBywWM9deMwCAL7/6HbvdgWEYLF3mDALpr1IwVerSpTm+vj4cPZrD3n1HarTv1NRM4Pjfam/jG+YHQElWkesz9OhWrQm0hVJckM+hLWf+t/JUXOVJomMozihyziHUr0bHqMtc5zunGEepA4CQ6GjCm8ZjOBzsW7e2RsdzBd3EHD/f1jDvOd8iIqejIBCReqg8Kr+01E7+CekVj9dC1h1QIiIiIiIi4n7RZV8spXogE0h52Q2AsLCgWh+/Lho61Bl4MG/emZWEWbI0if++MxuABx+4TJlAztLgQZ0JDPRjeGJ3Gje2eXo6ImfsllsGkzisG3ecQRaQE112aU+CgwM4cCCd35dsY+fOVI4cycHPz0qPHgk1PNuGwc/PSpcuzQBYXYMlYRwOB4fTnAGa3loOxmrzAxM4ih3YjzmzfpjMZpqfdx5Q8yVKslMPA9DIFoNR4sDkY8LqRUEglkAfzH4WMKAk+/h3Fu4qCeMKuomIdWVe8Yv0r9ExRETqMwWBiNRD/v5WfH19AMjJPp7i1XUHVJiCQERERERERMT9yr9YOlyWcr42lV8DBzfyx89P6b/BGYQAsHZdMoWFxadp7bRnTxpPT5iGYRhcMao3Y8b0decUG7TY2DBmzfw7f/+/qzw9FZGzMnhQZyY8fS0hZVmIz1RAgC+jrzgfgC+mLXZlAenVs5Vep0+h53nHS8LUlMzMYxQXl2I2m4iK8s6gNJPF5AwEAYozj5coaX5eT6BmgxJKi4vJSz8KgL/ZmVHHLyIAk9l7snWbTCZXNpATz3eLnjV/vg3DcGUCCfKPBMAa6ofZaqmxMURE6jsFgYjUQyaTyXUxll1VEIgygYiIiIiIiEgt8GQmkAMH0gGIbBxS62PXVU2bRhAVZaO01M6mTftO2z4np4C//u0zjh0rolu3Fjz80OUqL3uOfHwsmM36yFW819VX98PHx8L69Xv43zfLAOjXr62HZ1W39SorJbVmzW7sdkeN9JlaFpwZGRmCj4/3fjHuG14elFDk2pZQlpniwOZNFBcU1Mg4OWlpAPj4+UG+82+AX2Pvy0rhCgLJOH6+m/dwZl45kpxMXnp6jYxTmJdLcb7zexEfu/N7Em883yIip6IrEpF6qrwkTHbO8SCQzLJyMGHKBCIiIiIiIiK1IDraeXfxYQ8EgWwsC3Lo1DG+1seuq0wmE927O0surF2XfNr2r772PQcOpBMdHcrzz12P1erj7imKSAPXODKEYWWlqY4ezQGgX992npxSnde+fROCgvzIzStk+45DNdJnamomADFlwZre6nhmiuNBCWFNmxISFY2jtJT9G9bXyDjlWSlsMTEUHXVmwfCLDKiRvusTa9n5LjnhfAeGhhLdpg0Ae9asrpFxys93YGgopZnlpWC873yLiJyKgkBE6ilbiPNNTcVMILmAaiGLiIiIiIhI7Sj/cikz8xhFRSW1OvaGjXsB6Nqlea2OW9f1KAsCWbduzynbbd12gLnzNmAymXj+uetVWlZEasx11w50/ZzQIorY2DAPzqbu8/GxuF67V62qmZIw5Rm6ysu2eauqMlOYTKYTSpTUUFDCYWdQQmhME4oznEEgvo29LyjBN8yZjePEoBuAFmXZV2qqJEzFoBtnNhe/SGUCERE5kYJAROqpkLJMIDkVMoEcA1QORkRERERERGpHcHAAAQG+ABw8mFFr45aUlLJ16wEAunRVEMiJundvAcDmLftPGphjGAb/fWcWAImJ3ejYoWltTU9EvECbNrGuEif9+7f38Gzqh55l52vV6hoKAikrB6MgEGdgQEl2EYbdcG13V1BCVJO2YIDZ34JPkPdl1/INc74ntBeUYi8sdW0/8XwbhlHlY89ETlnQTVTTNjiKHZgsJnzDFQQiInIiBYGI1FO2kLJyMCdmAikrB6MgEBEREREREakNJpOJDmUBBGvW7q61cZOSDlFcXIrNFkiz+MhaG7c+aBYfSXh4I4qLS9lSFijzR8tX7GD16t1YrRbuvGNYLc9QRLzB/z15FbfdOoSbxl3k6anUC716OYNANmzYW+Hz3rO1e/dhAGJjw8+5r/rMEuSD2dcMhjMQpFx5JpDUHdtdWTzOxZFk53ug8PBmAPg1DsBkMp1zv/WN2WrBp5EVqJgNpFnXbpgtFrJTU0nbde6BTmm7nee7cXRrAHzD/TGZve98i4icioJAROopW1kmkOycE8vBlAWBKIWriIiIiIiI1JK+fdoCsGz59lobs7wUTJfOzbzyS5ZTMZlMJ5SESa603+Fw8M47swEYM6avyjSIiFtER4dyx+1DCQ72vpIYZ6NlQjSNG4dQVFTC1de8wqTJ88jNLTirvjIy81i/YQ8AvcuCS7yVyWTCGlpWEuaEoITgyMZEtWwFhsF7N17P/P++zbHMzLMao7iggF3LlgIQFu7MTubNpUlcJXhOON++gYHEd+0GwEd33s7s118j9+iRs+rfUVrK9t8WAdA4tg0Afo2993yLiJyMgkBE6qmQskwgOWWR4aWldleUuDKBiIiIiIiISG3pc77zA/g1a3ZTXFx6mtY1Y9OmfQB06aJSMFXp7goC2VNp35y569mxM4WgID9uHjeodicmIiJVMplMPPfP62nVKoZjx4r48KNfuHrsK7z73hxXVo/qWrRwMw6HQfv2TYiL8+5MIFB1UALAqH88RWyHDpQUFrLsi6m8fe3VzHvrP6QkJZ1RyZJdy5ZSWlREaGwc5mJnFgy/xt4b/GQ9yfm+9LHHadatO/aSElZ9+z/evnYss177Nwc3bzqj871vw3rys7IICAnBz2wDwC/Se8+3iMjJeF9RMpEGwpUJpCzwIzs7H8MwMJlMrgAREREREREREXdr3TqGiIhg0tNz2bBhD716tXbreIZhuDKBdFUQSJW6d28BwMZNeykttePjYwGguLiU9z+YC8C4Gy8iNDTIU1MUEZE/6NK5GZ98dB8LFmxm8ofzSd6TxqefLeDTzxaQ0CKKIUO6cMmIHqcN7Pjl100ADB7U2f2Trgd8w51ZIoozCytsj27dhlvfm8TOpUtYNHkSqduTWP7lNJZ/OY2wJk3oMPhiuowYQWTzFqfsf+uCXwHoOGgYpTklAPhFeG9mivLzXfKH8x0eH8+NE99m75rVLPpwMvs3rGf19G9ZPf1bQqKj6TB4CF2GjyC6dZtT9r/1118AaHfBRZSUBZooCEREpDJlAhGpp2whFcvBlJeCsdkCXR/uiIiIiIiIiLibyWSiTx/nB/bLV+xw+3gHD2WQkZGH1Wqhffsmbh+vPkpoEYXNFkhhYQlbtx10bf/q6yWkpmYRGRnCNWP7e3CGIiJSFbPZzJAhXfj0kwd47p9/YuDADlitFpL3pDH5w/lc+6fXeOHFb0lJqbp0SWZmHmvLSoENHqwgEDh5JhBwvodp038At036kGtefIX2gwbj4+dH5sGDLJnyKe+Nu4Hvnnmao3v3VNl3SWEhO5cuAaBNjwsA8Am2YvH33vuvTzzff8zwYTKZaNGzF+Pe+i/Xv/4fOg1LxDcgkJzDh1k+7Qsm3XozXz/xOKk7qi4x6LDbSVq0EID2fS/GsBuYfc34hFjde1AiIvWQ9/4lEqnnyjOBlJeDycxyBoGoFIyIiIiIiIjUtj7nt2HmzDUsW76De++5xK1jbdzgzALSrl0T/Pz0oX9VzGYz3bu1YOGiLaxdm0yXzs04cDCdyR/OB+CuO4fh7+/r4VmKiMjJWCxmhgzuwpDBXcjNLWDx4q3Mmr2Olat2MuPHVcz8eQ2XXdqTO8cPJTw82PW4Rb9txW530LZtHE2bRHjwCOoOa6gzKMF+rBR7kR2LX+UbKE0mE20GDKDNgAEU5+ezc+kSNs6Zzc4lv7N53ly2/DKfThcPZdBdd2OLjnE9btfyZZQUFGCLiSEooDFZHPXqUjAA1hBfTBYTRqlBaV4J1uDK7zdMJhMJvXqR0KsXJUVF7Fq+jM1zZrNt0UK2L/6N7Yt/o92FFzH4rj8T0ayZ63H7N2zgWEYG/o2CiWjckszkI/hFBmAymWrzEEVE6gVlAhGpp0JsVWcCCQ9TEIiIiIiIiIjUrvN7t8FkMrFrVypHjmS7dSyVgqme7t0TAFi/PhnDMHjp5ekUFZXQs2dLLr3kPA/PTkREqis4OIBLLjmPN9+4jffevZvzz2+D3e7ghxkrefChjyguLnW1/XWBsxTMEGUBcbH4WbAEOe+HLqkiG8gf+QYG0vHioVz70ivc/uHHtB14AYbDwaa5c5hy/30U5R9ztd1WVgqm/aDBFB91lj/x9tIkJrMJq80Z+FGccfrzbfXzo/2FF3HVc//irs+m0mnoMDCZSFq0kM/uv4djmcez3pSf77YXXEBJRjEAfo29t/SOiMipKAhEpJ4qLwdz7FgRpaX240EgygQiIiIiIiIitcxmC6Rjh6YALF+x061jbdy0D4AunZudpqV3cwWBbNjLDzNWsXr1bvz8rDz+1yt1x6yISD3VpXMz3njtVt79712Ehgayc1cqH0yaC0B2dj6rV+8CYPAgBYGc6HiJksIzelxMm7aMfeElbpv0EbaYGLJSDjH3P28CUFJUxI7ffweg/UWDKTpaAIBfpIISfMOc5+BMz3dk8xaMfvoZ7vxkCpHNW3AsI4OZL7+IYRgYDgfbFi4AnEE3x8+3dwfdiIicjIJAROqp4ODjac5ycvLJzHQGgYQpE4iIiIiIiIh4QJ8+bQBYvrzqOu41ITe3gOTkNAC6dFEQyKm0bhVDo0b+5OcX8eprPwAw/vahKg8gItIAdO3anL89PgaAz79YzNq1u/ntty3Y7Q7atI4lPj7SwzOsW44HJZw+M0VVYtu1Y9T//QNMJtb/9CNJixaye8VyigvyCYmKJrp5W+wFdjCBb4SCQMqDbqqTeaUqjRMSGD3hGcw+Pmxf/Bvrf/qRA5s2kpd+FL9GjWjRrRclWc5MIL4KAhERqVKdDgJ555136Nq1KyEhIYSEhNCvXz9+/vln1/5bbrkFk8lU4b++fftW6KOoqIj777+fyMhIgoKCGDVqFAcOHKjtQxGpcRaLmUaNnG8os7PzXZlAFAQiIiIiIiIintCnT1sAVqzcid3ucMsYmzbtwzAMmjaNIDw82C1jNBQWi5luXVsAUFpqp327JlxzTX/PTkpERGrMhRd05PKRvTAMg2ef+x8/zVwNwGCVgqnkeCaQswtKAGjWvQf9/nQ9AD+9/CJrvpsOQPtBgyhOL3SNY/ap01+71Qpr+Lmf7+jWbRh0x50AzPnPGyz74nMA2g68gNIcZwkkS5APPoE+5zhbEZGGqU7/NWratCkvvvgiq1atYtWqVQwZMoQrrriCzZs3u9qMGDGClJQU138zZ86s0MeDDz7I9OnTmTZtGosXLyYvL4+RI0dit9tr+3BEapzN5iwJk52TT2amsxahysGIiIiIiIiIJ3Ro34TgRv7k5hawdat7bsDZsHEvAF27NHdL/w1Nj7KSMBaLmb/97Up8fCwenpGIiNSkBx64jLi4cA4fzmL9BuffSAWBVHZiEIhhGGfdz4W3jyeqdRsKsrPZvWI5AB0GDaEwraw0SWNlpYATMoHkFOMoPfvA4D7X/Ylm3bpTUlDA9sW/AWWlYI7ofIuInE6dDpG7/PLLK/z+/PPP884777Bs2TI6deoEgJ+fHzExMVU+Pjs7m8mTJ/PZZ58xdOhQAKZMmUJ8fDzz5s1j+PDhJx27qKiIoqLjUYo5OTkAlJSUUFJSck7HJZ5T/tw1lOcwJNj5JicjI5f0jFwAbCH+Deb4pGY1tPUvcia0/sVbae2LN6ut9a9/XyLH+fhY6N27Nb/8uolly7fTuXPNl2vZWBYE0kVBINWSmNiNBYs2MzyxO23bxHl6OiIiUsOCAv14+qlr+PM97+FwGLRqFUPzZo09Pa06x2rzAxMYJQ5Kj5VibWQ9q358fH0Z/dTTTL7jNuzFxQQ3bkxcx44cnJ4MgH9MYE1Ou96yBPhg9rPgKLJTklWE31mWbDFbLIz6+z/44JabKDp2DN/AQFr2Pp+02QcBCND5FhE5qTodBHIiu93O119/zbFjx+jXr59r+4IFC4iKiiI0NJSLLrqI559/nqioKABWr15NSUkJiYmJrvZxcXF07tyZJUuWnDII5IUXXuCZZ56ptH3OnDkEBuoPS303d+5cT0+hRhQWOUvALF68nJSUowBs3rKOjIydnpyW1HENZf2LnA2tf/FWWvvizdy9/vPz893av0h907dPW375dRPLV+zgjtuH1mjfpaV2Nm9xZhjp4oYAk4YoMjKE99+929PTEBERN+rSuRm333YxH0yaxxWjent6OnWSyWLCGupHSWYRJZmFZx0EAtA4oSVD77uf2a+9SvfLR1GSUUxpbgkmHxOB8SpVB2AymfAN86MwNZ/izLMPAgGwxcRyyaOP8f0/n6XrJZdiFELR0UIwQVCLkBqctYhIw1Lng0A2btxIv379KCwspFGjRkyfPp2OHTsCcMkllzB27FiaN29OcnIy//jHPxgyZAirV6/Gz8+P1NRUfH19CQsLq9BndHQ0qamppxz3iSee4OGHH3b9npOTQ3x8PImJiYSE6A9LfVVSUsLcuXMZNmwYVuvZv9GrK9auK2T37iyaN2/F3HnOu6EuHzmcqCibh2cmdVFDW/8iZ0LrX7yV1r54s9pa/+VZIwEWLVrEK6+8wurVq0lJSWH69OmMHj26ysfdddddvP/++7z++us8+OCDru1FRUU8+uijfPHFFxQUFHDxxRfz3//+l6ZNm7raZGZm8sADD/DDDz8AMGrUKCZOnEhoaKg7DlHkjPTp0waALVsOkJmZR1hYzZUs3bEzhaKiEoIb+dOihe5yFhERKXfrLUMYdXlvlQo/Bb8If0oyi8jZmklA00aYTKaz7qvXlVfR/qLBBIWGkrEyDYDAZsGYreaamm695xvhT2FqPrlJWTRqZcNkPvvz3WloIi169iIgxEb2xgwAAmKDsATU+a84RUQ8ps6/QrZr145169aRlZXFN998w80338zChQvp2LEj1157ratd586d6dWrF82bN+enn35izJgxJ+3TMIzT/oH38/PDz8+v0nar1aoP0BuAhvI8ln+YdiglC7vdWVuvceNQrNY6/09bPKihrH+Rs6H1L95Ka1+8mbvX/4l9Hzt2jG7dunHrrbdy1VVXnfQx3333HcuXLycurnJphgcffJAZM2Ywbdo0IiIieOSRRxg5ciSrV6/GYrEAcP3113PgwAFmzZoFwJ133sm4ceOYMWNGDR+dyJlr3NhG27ZxbN9+iN+XJDHysp411veGDc6bHzp3aY7ZrC9ZREREThQRoSwUp2LrEsGx5BwKDh4jNymLkPZhp3/QKTQKD8dwGBxLdgaFN2qpm4dPZOsYTt6OLIqOFJC1IZ2w7pHn1F9QWDiGYXBst/N8B+l8i4icUp2/Yvb19aV169b06tWLF154gW7duvHmm29W2TY2NpbmzZuzY8cOAGJiYiguLiYzM7NCu7S0NKKjo90+dxF3CwlxplHbs8cZbRzcyB9fXwWAiIiIiIh4wiWXXMJzzz13ypsSDh48yH333cfUqVMrBadkZ2czefJkXn31VYYOHUqPHj2YMmUKGzduZN68eQBs3bqVWbNmMWnSJPr160e/fv344IMP+PHHH0lKSnLr8YlU14UXdADgt8VbarTfjRudQSBduzSv0X5FRESk4fMN9SOsZxQAGSsPU5JddM59FqbmYy+wY/azEBCnLCwn8mlkJaJvDABZ645QdLTgnPssziiiJLsYk8VEUHMFPYmInEq9+7bYMAyKiqr+45yens7+/fuJjY0FoGfPnlitVubOncs111wDQEpKCps2beLll1+utTmLuIvNFgjAnmRnEEiY0v2JiIiIiNRZDoeDcePG8dhjj9GpU6dK+1evXk1JSQmJiYmubXFxcXTu3JklS5YwfPhwli5dis1mo0+fPq42ffv2xWazsWTJEtq1a1ep36KiogrX0eUlbEpKSigpKanJQ5RaVv781bXnsV/ftkyaPJ8VK3aSm3sMf3/fc+7TMAw2lAWBdOzQpM4ds9Suurr2RWqD1r94s3Nd/wFtGuG3L4ei1AIOLzxI1PCm1SpTYtgN8vfk4hvpj9V2/H1Nzk7nDcgB8UGUOkrBcVbTarB84wMIaNaIgn15pC08SPSl8Zh8Tn9vuuEwKNibh0+oL75hxzP2l59v/yaB2E0O7CXedcJr6/Vff19EGoY6HQTy5JNPcskllxAfH09ubi7Tpk1jwYIFzJo1i7y8PCZMmMBVV11FbGwse/bs4cknnyQyMpIrr7wSAJvNxu23384jjzxCREQE4eHhPProo3Tp0oWhQ4d6+OhEzp0txBkEkptXCFCjtZZFRERERKRmvfTSS/j4+PDAAw9UuT81NRVfX1/Cwiqmpo6OjiY1NdXVJioqqtJjo6KiXG3+6IUXXuCZZ56ptH3OnDkEBgae6WFIHTR37lxPT6ECwzAICfElJ6eY997/mjatzy3dOkB2dhFHj+ZiNpvYu3cjhw7VbJYRqZ/q2toXqU1a/+LNzmX9W+0+tDU1h/QiVk9fTlpAxmnbN8uLJcgeQKnJzq6QfRRZSjAZJjpmtcSChQ2HN3Ns5qqznlNDZnGYaWtqATmwfvpqDgUdOU17C83yYgguDcKBg10h+ynwKQID2mcn4IuVrRk7yJm5tnYOoA5y9+t/fn6+W/sXkdpRp4NADh8+zLhx40hJScFms9G1a1dmzZrFsGHDKCgoYOPGjXz66adkZWURGxvL4MGD+fLLLwkOPp4G6vXXX8fHx4drrrmGgoICLr74Yj7++GNXLWWR+qw8E0i5cAWBiIiIiIjUSatXr+bNN99kzZo1mEynv9vwRIZhVHhMVY//Y5sTPfHEEzz88MOu33NycoiPjycxMZGQENXSrs9KSkqYO3cuw4YNq1ReyNN27TbxzbfLKSwM4tJLLz3n/ubO2wCso23bOK644vJzn6DUa3V57Yu4m9a/eLOaWv/5yblk/H6YmMJIOvXpQkDToCrbFR46Rsbvh3HYnRknfAwLHUvbEDW0KcVHC0lfmIol0MKFowad8Xt8b1J46BhHf0khsiiMtr3aE5hQdSmXorQC0n9LxVFqB8CMmXbFLYka0hR7filH5hzEZDUz4PKBmCynzyjS0NTW63955kgRqd/qdBDI5MmTT7ovICCA2bNnn7YPf39/Jk6cyMSJE2tyaiJ1Qsgfg0BUDkZEREREpE767bffSEtLo1mzZq5tdrudRx55hDfeeIM9e/YQExNDcXExmZmZFbKBpKWl0b9/fwBiYmI4fPhwpf6PHDlCdHR0lWP7+fnh5+dXabvVatWXRw1EXXwuL7qoM998u5wlS7djNluwnOaD+mPHCpn/y0ZmzlzD4bRsXn/tFlo0P571ZsuWAwB069qizh2reE5dXPsitUXrX7zZua7/kDZhFKUWcGxXDumLUoga1ISg5seDox2lDrLWHyV7QzoAvhH+RPaLIW3hQUpzS0hfkIolwPn1WqOWNnx9z730XUNmbR5KccdCcrZkkvH7YcwmM8FtQl37DYdB9qZ0MtccAQOsNl8iL4gjfUkKxRlFpP+agm+4PwBBLYLx9a98beNN3P36r78tIg1DnQ4CEZFTKy8HU05BICIiIiIiddO4ceMqlSUdPnw448aN49ZbbwWgZ8+eWK1W5s6dyzXXXANASkoKmzZt4uWXXwagX79+ZGdns2LFCs4//3wAli9fTnZ2titQRKQu6N6tBcGN/MnKOsbmzfvp2rV5hf05OQUkJx8mOfkw6zfuZcGCzRQVHa8//sW0xTzx+BjX7xs37gOgS5dmiIiIiJwLk8lE44Fx4IBjyTmk/XqQxhcaBCWEcGxPLpmr0ijNc74vCW4XSvj50Zh9zMQkNuPQj3soTi909RWUoMx61RF+fjSG3SA3KYuji1Mw7AbB7UIpOJBHxso0SrKLAQhqGUJk/1jMVjPRw+I59OMeSrKLXfsb6XyLiFSLgkBE6rE/loMJUzkYERERERGPycvLY+fOna7fk5OTWbduHeHh4TRr1oyIiIgK7a1WKzExMbRr1w4Am83G7bffziOPPEJERATh4eE8+uijdOnSxRVA0qFDB0aMGMH48eN57733ALjzzjsZOXKkqx+RusDHx0K//u2ZM2cdvy3e4goCWb1mFy++NJ2DBzMqPaZ588b06tmKb75dxrx5G3jg/ssICvTj2LFCdu1OBaBrl+aVHiciIiJypkxmE40vjMNkNpG3K5sjCw+RvTGd4owiACyBPoSfH10h6MAa4kv00KakztqHYTew2nzxjfD31CHUKyaTiYh+MZgsJnK2ZJK+NJXc7VmugBqzv4XwnlE0amNzldbxCbQSMyyeQz/txShxYAmw4B9bdekeERGpSEEgIvWYv78vvr4+FBeXAgoCERERERHxpFWrVjF48GDX7w8//DAAN998Mx9//HG1+nj99dfx8fHhmmuuoaCggIsvvpiPP/4Yi8XiajN16lQeeOABEhMTARg1ahRvvfVWzR2ISA25cGAH5sxZx6JFW7jnzyNYvnwHf3tyiusaNjrKRkJCNK1aRTPoos507NgUgJWrdrJv31Hmzl3P6CvOZ9Pm/TgcBnGxYURG6u5PERERqRkms4nIC2IxWUzOgISMIkw+JmydI7B1jsBsrVzOzj8qkMaDmpC+NBVblwhXwIKcnslkIvz8aEwWszPgJr0QzCZsHcMJ7RaB2ddS6TG+Yf5EX9yUo4tTCOkYjsms8y0iUh0KAhGp52y2QI4cyQFUDkZERERExJMGDRqEYRjVbr9nz55K2/z9/Zk4cSITJ0486ePCw8OZMmXK2UxRpFb16dsWq9XC/gPpTP38Nz6YNJeSEjsDB7TnH38fS3BwQJWPG3V5b956+2d+mLGS0Vecz8aNewHorCwgIiIiUsNMJhMR/WPwCbZizy/F1iUCnyDrKR8T1CyYoGbBtTTDhsVkMhHWszE+QT4UZxZh6xyBNcT3lI8JiA0ifmzrWpqhiEjDUDmMUUTqFVvI8ZIw4coEIiIiIiIiInVEUKAfPc9rBcB/35lFSYmdQYM68fxz1580AATg0kvOw2q1sG3bQZK2H2Ljxn0AdO3SrFbmLSIiIt7FZDIR2jWSiL4xpw0AkXNnMpkI6RBOZP/Y0waAiIjI2VEQiEg9F2I7IQhEmUBERERERESkDrnggg6unxMTu/PshOuwWk+dmDY0NIgLL+wIwPTpy9m8uTwIRJlARERERERERE5HQSAi9Vx5JpCAAF8CAhQ1KyIiIiIiInXH0Iu70q1bC/503UD+8X9X4+NTudZ7Va4YdT4AP81cTX5BMUFBfiQkRLtzqiIiIiIiIiINwqlvvRCROs9WlgkkLDTIwzMRERERERERqSg4OIB33r7zjB93Xo8EmjQJ5+DBDAA6d2qGxaJ7mUREREREREROR1fPIvVcSFkmkDCVghEREREREZEGwmw2c/nI3q7fu3Rp5sHZiIiIiIiIiNQfCgIRqefCwpwZQCLCgz08ExEREREREZGac9ml57myf3Tt0tzDsxERERERERGpH1QORqSeGzK4Mxs37uXqq/t5eioiIiIiIiIiNSYiIphHHrqc5D1p9OjR0tPTEREREREREakXFAQiUs81bmzjuX9e7+lpiIiIiIiIiNS40aP7eHoKIiIiIiIiIvWKysGIiIiIiIiIiIiIiIiIiIiINAAKAhERERERERERERERERERERFpABQEIiIiIiIiIiIiIiIiIiIiItIAKAhEREREREREREREREREREREpAFQEIiIiIiIiIiIiIiIiIiIiIhIA6AgEBEREREREREREREREREREZEGQEEgIiIiIiIiIiIiIiIiIiIiIg2Aj6cnUF8YhgFATk6Oh2ci56KkpIT8/HxycnKwWq2eno5IrdL6F2+m9S/eSmtfvFltrf/ya8Tya8b6QNe3DYde58Vbae2LN9P6F2+m9S/eTNe4InImFARSTbm5uQDEx8d7eCYiIiIiIiJS1+Tm5mKz2Tw9jWrR9a2IiIiIiIicSn26xhWRykyGQrmqxeFwcOjQIYKDgzGZTJ6ejpylnJwc4uPj2b9/PyEhIZ6ejkit0voXb6b1L95Ka1+8WW2tf8MwyM3NJS4uDrO5flRc1fVtw6HXefFWWvvizbT+xZtp/Ys30zWuiJwJZQKpJrPZTNOmTT09DakhISEhepMoXkvrX7yZ1r94K6198Wa1sf7r291Rur5tePQ6L95Ka1+8mda/eDOtf/FmusYVkepQCJeIiIiIiIiIiIiIiIiIiIhIA6AgEBEREREREREREREREREREZEGQEEg4lX8/Px4+umn8fPz8/RURGqd1r94M61/8VZa++LNtP7FG2idi7fS2hdvpvUv3kzrX7yZ1r+InAmTYRiGpychIiIiIiIiIiIiIiIiIiIiIudGmUBEREREREREREREREREREREGgAFgYiIiIiIiIiIiIiIiIiIiIg0AAoCEREREREREREREREREREREWkAFAQiIiIiIiIiIiIiIiIiIiIi0gAoCEQahIMHD3LjjTcSERFBYGAg3bt3Z/Xq1a79hmEwYcIE4uLiCAgIYNCgQWzevLlCH0VFRdx///1ERkYSFBTEqFGjOHDgQG0fisgZOd3av+WWWzCZTBX+69u3b4U+tPalPmrRokWltW0ymbj33nsBve5Lw3a69a/XfmnISktL+fvf/05CQgIBAQG0bNmSZ599FofD4WqjvwFS3+n6VryZrnHFW+kaV7yZrnHFm+kaV0TcRUEgUu9lZmYyYMAArFYrP//8M1u2bOHVV18lNDTU1ebll1/mtdde46233mLlypXExMQwbNgwcnNzXW0efPBBpk+fzrRp01i8eDF5eXmMHDkSu93ugaMSOb3qrH2AESNGkJKS4vpv5syZFfZr7Ut9tHLlygrreu7cuQCMHTsW0Ou+NGynW/+g135puF566SXeffdd3nrrLbZu3crLL7/MK6+8wsSJE11t9DdA6jNd34o30zWueDNd44o30zWueDNd44qI2xgi9dzjjz9uDBw48KT7HQ6HERMTY7z44ouubYWFhYbNZjPeffddwzAMIysry7Barca0adNcbQ4ePGiYzWZj1qxZ7pu8yDk43do3DMO4+eabjSuuuOKk+7X2paH4y1/+YrRq1cpwOBx63Revc+L6Nwy99kvDdtlllxm33XZbhW1jxowxbrzxRsMw9N5f6j9d34o30zWuyHG6xhVvpmtc8Sa6xhURd1EmEKn3fvjhB3r16sXYsWOJioqiR48efPDBB679ycnJpKamkpiY6Nrm5+fHRRddxJIlSwBYvXo1JSUlFdrExcXRuXNnVxuRuuZ0a7/cggULiIqKom3btowfP560tDTXPq19aQiKi4uZMmUKt912GyaTSa/74lX+uP7L6bVfGqqBAwcyf/58tm/fDsD69etZvHgxl156KaD3/lL/6fpWvJmucUWcdI0r3kzXuOJtdI0rIu6iIBCp93bv3s0777xDmzZtmD17NnfffTcPPPAAn376KQCpqakAREdHV3hcdHS0a19qaiq+vr6EhYWdtI1IXXO6tQ9wySWXMHXqVH755RdeffVVVq5cyZAhQygqKgK09qVh+O6778jKyuKWW24B9Lov3uWP6x/02i8N2+OPP86f/vQn2rdvj9VqpUePHjz44IP86U9/AvQ3QOo/Xd+KN9M1roiTrnHFm+kaV7yNrnFFxF18PD0BkXPlcDjo1asX//rXvwDo0aMHmzdv5p133uGmm25ytTsxchjAMIxK2/6oOm1EPKU6a//aa691te/cuTO9evWiefPm/PTTT4wZM+akfWvtS30yefJkLrnkEuLi4ips1+u+eIOq1r9e+6Uh+/LLL5kyZQqff/45nTp1Yt26dTz44IPExcVx8803u9rpb4DUV7q+FW+ma1wRJ13jijfTNa54G13jioi7KBOI1HuxsbF07NixwrYOHTqwb98+AGJiYgAqRTympaW5oidjYmIoLi4mMzPzpG1E6prTrf2TPaZ58+bs2LED0NqX+m/v3r3MmzePO+64w7VNr/viLapa/1XRa780JI899hh/+9vfuO666+jSpQvjxo3joYce4oUXXgD0N0DqP13fijfTNa6IrnHFu+kaV7yRrnFFxF0UBCL13oABA0hKSqqwbfv27TRv3hyAhIQEYmJimDt3rmt/cXExCxcupH///gD07NkTq9VaoU1KSgqbNm1ytRGpa0639quSnp7O/v37iY2NBbT2pf776KOPiIqK4rLLLnNt0+u+eIuq1n9V9NovDUl+fj5mc8XLWIvFgsPhAPQ3QOo/Xd+KN9M1roiuccW76RpXvJGucUXEbQyRem7FihWGj4+P8fzzzxs7duwwpk6dagQGBhpTpkxxtXnxxRcNm81mfPvtt8bGjRuNP/3pT0ZsbKyRk5PjanP33XcbTZs2NebNm2esWbPGGDJkiNGtWzejtLTUE4clclqnW/u5ubnGI488YixZssRITk42fv31V6Nfv35GkyZNtPalQbDb7UazZs2Mxx9/vNI+ve5LQ3ey9a/Xfmnobr75ZqNJkybGjz/+aCQnJxvffvutERkZafz1r391tdHfAKnPdH0r3kzXuOLtdI0r3kzXuOKtdI0rIu6iIBBpEGbMmGF07tzZ8PPzM9q3b2+8//77FfY7HA7j6aefNmJiYgw/Pz/jwgsvNDZu3FihTUFBgXHfffcZ4eHhRkBAgDFy5Ehj3759tXkYImfsVGs/Pz/fSExMNBo3bmxYrVajWbNmxs0331xpXWvtS301e/ZsAzCSkpIq7dPrvjR0J1v/eu2Xhi4nJ8f4y1/+YjRr1szw9/c3WrZsafzf//2fUVRU5GqjvwFS3+n6VryZrnHFm+kaV7yZrnHFW+kaV0TcxWQYhuHZXCQiIiIiIiIiIiIiIiIiIiIicq7Mp28iIiIiIiIiIiIiIiIiIiIiInWdgkBEREREREREREREREREREREGgAFgYiIiIiIiIiIiIiIiIiIiIg0AAoCEREREREREREREREREREREWkAFAQiIiIiIiIiIiIiIiIiIiIi0gAoCERERERERERERERERERERESkAVAQiIiIiIiIiIiIiIiIiIiIiEgDoCAQERERERERERERERERERERkQZAQSAiIiIiIiIiIiIiIiIiIiIiDYCCQEREREREREREREREREREREQaAAWBiIiIiIiIiIiIiIiIiIiIiDQACgIRERERERERERERERERERERaQAUBCIiIiIiIiIiIiIiIiIiIiLSACgIRERERERERERERERERERERKQBUBCIiIiIiIiIiIiIiIiIiIiISAOgIBAREREP+PjjjzGZTOzZs8fTU6k2k8nEhAkTTtuuJo+tRYsWjBw5ssp9q1atwmQy8fHHH7u25ebm8te//pXExEQaN2582jmvWbOGoUOH0qhRI0JDQxkzZgy7d++u1M5kMlX534svvniuhygiIiIiIlLv6Rq3eurKNe4bb7zBmDFjSEhIwGQyMWjQoHM8MhERERGpSxQEIiIi4gGXXXYZS5cuJTY21tNTqbalS5dyxx13eHoap5Sens77779PUVERo0ePPmXbbdu2MWjQIIqLi/nqq6/48MMP2b59OxdccAFHjhyp1P7qq69m6dKlFf676aab3HQkIiIiIiIi9Yeucd3DXde47777Lnv37mXIkCE0btzYjUcgIiIiIp7g4+kJiIiIeKPGjRvXuw9a+vbt6+kpnFbz5s3JzMzEZDJx9OhRJk2adNK2Tz31FH5+fvz444+EhIQA0LNnT9q0acO///1vXnrppQrto6Oj68U5EBERERERqW26xnUPd13jbtmyBbPZeX9o586d3XsQIiIiIlLrlAlERESkGm655RZatGhRafuECRMwmUyu300mE/fddx+fffYZHTp0IDAwkG7duvHjjz9WeFxV6WQNw+Dll1+mefPm+Pv7c9555/Hzzz8zaNCgCqlZT5aKdsGCBZhMJhYsWFBh+7x587j44osJCQkhMDCQAQMGMH/+/DM+B1WlnV22bBkDBgzA39+fuLg4nnjiCUpKSs6475pSXqbldEpLS/nxxx+56qqrXB+OgfMDtsGDBzN9+nR3TlNERERERMSjdI3r3de45QEgIiIiItIw6d2eiIhIDfvpp5946623ePbZZ/nmm28IDw/nyiuvrLIO74meeeYZHn/8cYYNG8Z3333Hn//8Z8aPH09SUtJZz2XKlCkkJiYSEhLCJ598wldffUV4eDjDhw8/qw/JTrRlyxYuvvhisrKy+Pjjj3n33XdZu3Ytzz33XKW2DoeD0tLS0/5nt9srPdYwjGq3ra5du3ZRUFBA165dK+3r2rUrO3fupLCwsML2zz//nICAAPz8/OjZsycfffTRWY8vIiIiIiJSX+gat2Fe44qIiIhIw6VyMCIiIjWsoKCAefPmERwcDMB5551HXFwcX331FX/729+qfExWVhYvvfQSV155ZYX0rp06dWLAgAG0a9fujOeRn5/PX/7yF0aOHFnhrp9LL72U8847jyeffJLly5efcb/lnn32WQzD4JdffiE6Ohpw1oGuKpXsbbfdxieffHLaPi+66KJKd3nNnDkTq9V61vOsSnp6OgDh4eGV9oWHh2MYBpmZma561tdffz2XXXYZ8fHxpKWlMXnyZG677TZ2797NP//5zxqdm4iIiIiISF2ia9yGd40rIiIiIg2bgkBERERq2ODBg10fjgFER0cTFRXF3r17T/qYpUuXUlhYyA033FBhe//+/WnevPlZzWPJkiVkZGRw8803U1paWmHfiBEjePnllzl27BhBQUFn1f+vv/7KxRdf7PpwDMBisXDttdfyzDPPVGg7YcIE7rvvvtP2eeJ5Kzdw4EBef/31Stu3bt3KTTfddBYzP+5UaXVP3Dd16tQK+6666iouv/xyXnzxRR544IF6V/taRERERESkunSN2/CucUVERESkYVMQiIiISA2LiIiotM3Pz4+CgoKTPqb8rp2YmJhK+6raVh2HDx8G4Oqrrz5pm4yMjLP+gCw9Pb3a823WrBlNmzY9bZ9VfShls9no1avXWc3xZMqfo/LzfqKMjAxMJhOhoaGn7OPGG2/kxx9/ZNWqVVxyySU1Oj8REREREZG6Qte43nGNKyIiIiINh4JAREREqsHf35+ioqJK248ePVoj/Zd/YJOamlppX2pqKi1atKgwF6DSfP44l8jISAAmTpxI3759qxz3xDuczmbOJ5vvH51Lqlx3aNWqFQEBAWzcuLHSvo0bN9K6dWvXeT4ZwzAAMJvNbpmjiIiIiIiIu+gat+o5e/M1roiIiIg0HAoCERERqYYWLVqQlpbG4cOHXR8qFRcXM3v27Brpv2/fvvj7+zN16lSuuuoq1/YlS5awd+/eCh+Qlf+8YcOGCnWUf/jhhwp9DhgwgNDQULZs2VKtNLVnavDgwfzwww8VzondbufLL7+s1PZcUuW6g4+PD5dffjnffvstL7/8smvcffv28euvv/LQQw+dto/PPvsMq9VKz5493T1dERERERGRGqVr3Mq8/RpXRERERBoOBYGIiIhUw7XXXstTTz3Fddddx2OPPUZhYSH/+c9/sNvtNdJ/WFgYjz76KM899xx33HEHY8eOZf/+/UyYMKFS6tnevXvTrl07Hn30UUpLSwkLC2P69OksXry4QrtGjRoxceJEbr75ZjIyMrj66quJioriyJEjrF+/niNHjvDOO++c9Zz//ve/88MPPzBkyBCeeuopAgMDefvttzl27Filti1atKjwIZ87/fzzzxw7dozc3FwAtmzZwv/+9z8ALr30UgIDAwF45pln6N27NyNHjuRvf/sbhYWFPPXUU0RGRvLII4+4+nvllVfYsmULF198MU2bNiUtLY3JkyczZ84cJkyY4LobTUREREREpL7QNW5l3nKNC7Bq1Sr27NkDQE5ODoZhuPrs3bs3zZs3r5VjExERERH3UP5yERGRakhISOD7778nKyuLq6++mscee4yxY8dy00031dgYzz77LC+88AJz5sxh1KhRTJw4kXfffbfCnVAAFouFGTNm0L59e+6++25uuukm/Pz8eOuttyr1eeONN/Lrr7+Sl5fHXXfdxdChQ/nLX/7CmjVruPjii89pvp07d2bevHmEhIRw8803c+edd9K1a1f+8Y9/nFO/5+rPf/4zY8eO5bbbbgPg66+/ZuzYsYwdO5a0tDRXu/bt27NgwQKsVitXX301t9xyC61bt2bRokU0bty4QrudO3fy8MMPM2zYMO644w4KCgr44osvePrpp2v9+ERERERERM6VrnEr85ZrXIC33nrL1cf+/fvZsmWL6/dff/21Vo9PRERERGqeySgvaC8iIiJ10qBBgwBqpY6wiIiIiIiIiDvpGldERERExL2UCURERERERERERERERERERESkAfDx9ARERETEs0pLS0+532w2YzYrblRERERERETqPl3jioiIiIi3UzkYERERL7Znzx4SEhJO2ebpp59mwoQJtTMhERERERERkbOka1wREREREQWBiIiIeLXi4mI2bNhwyjZxcXHExcXV0oxEREREREREzo6ucUVEREREFAQiIiIiIiIiIiIiIiIiIiIi0iCo+KGIiIiIiIiIiIiIiIiIiIhIA+Dj6QnUFw6Hg0OHDhEcHIzJZPL0dERERERERKQOMAyD3Nxc4uLiMJvrx30Wur4VERERERGRqtTHa1wRqUxBINV06NAh4uPjPT0NERERERERqYP2799P06ZNPT2NatH1rYiIiIiIiJxKfbrGFZHKFARSTcHBwYDzRS8kJMTDs5GzVVJSwpw5c0hMTMRqtXp6OiK1SutfvJnWv3grrX3xZrW1/nNycoiPj3ddM9YHur5tOPQ6L95Ka1+8mda/eDOtf/FmusYVkTOhIJBqKk+RGxISog/J6rGSkhICAwMJCQnRm0TxOlr/4s20/sVbae2LN6vt9V+fyqro+rbh0Ou8eCutffFmWv/izbT+xZvpGldEzoRHizm98847dO3a1fXBU79+/fj5559d+w3DYMKECcTFxREQEMCgQYPYvHlzhT6Kioq4//77iYyMJCgoiFGjRnHgwIEKbTIzMxk3bhw2mw2bzca4cePIysqqjUMUERERERERERERERERERERqRUeDQJp2rQpL774IqtWrWLVqlUMGTKEK664whXo8fLLL/Paa6/x1ltvsXLlSmJiYhg2bBi5ubmuPh588EGmT5/OtGnTWLx4MXl5eYwcORK73e5qc/3117Nu3TpmzZrFrFmzWLduHePGjav14xURERERERERERERERERERFxF4+Wg7n88ssr/P7888/zzjvvsGzZMjp27Mgbb7zB//3f/zFmzBgAPvnkE6Kjo/n888+56667yM7OZvLkyXz22WcMHToUgClTphAfH8+8efMYPnw4W7duZdasWSxbtow+ffoA8MEHH9CvXz+SkpJo165d7R60iIiIiIiIiIiIiIiIiIiIiBt4NAjkRHa7na+//ppjx47Rr18/kpOTSU1NJTEx0dXGz8+Piy66iCVLlnDXXXexevVqSkpKKrSJi4ujc+fOLFmyhOHDh7N06VJsNpsrAASgb9++2Gw2lixZctIgkKKiIoqKily/5+TkAM6aWyUlJTV9+FJLyp87PYfijbT+xZtp/Yu30toXb1Zb61//vkREREREREREpC7xeBDIxo0b6devH4WFhTRq1Ijp06fTsWNHlixZAkB0dHSF9tHR0ezduxeA1NRUfH19CQsLq9QmNTXV1SYqKqrSuFFRUa42VXnhhRd45plnKm2fM2cOgYGBZ3aQUufMnTvX01MQ8Ritf/FmWv/irbT2xZu5e/3n5+e7tX8REREREREREZEz4fEgkHbt2rFu3TqysrL45ptvuPnmm1m4cKFrv8lkqtDeMIxK2/7oj22qan+6fp544gkefvhh1+85OTnEx8eTmJhISEjIaY9L6qaSkhLmzp3LsGHDsFqtnp6OSK3S+hdvpvUv3kprX7xZba3/8qyRIiIiIiIiIiIidYHHg0B8fX1p3bo1AL169WLlypW8+eabPP7444Azk0dsbKyrfVpamis7SExMDMXFxWRmZlbIBpKWlkb//v1dbQ4fPlxp3CNHjlTKMnIiPz8//Pz8Km23Wq36AL0B0PMo3kzr3/0yM/N45NFP6NEjgfvvu9TT05ETaP2Lt9LaF2/m7vWvf1siDdOxY4Xc/8BkWraM5m+PX4mPj8XTUxIRERERERGpFrOnJ/BHhmFQVFREQkICMTExFVL3FhcXs3DhQleAR8+ePbFarRXapKSksGnTJlebfv36kZ2dzYoVK1xtli9fTnZ2tquNiIhITZr+3XK2JR3ki2mL2b7jkKenIyIiIiIiZ2jpsu1sSzrIzJ/X8PwL3+BwODw9JREREREREZFq8WgmkCeffJJLLrmE+Ph4cnNzmTZtGgsWLGDWrFmYTCYefPBB/vWvf9GmTRvatGnDv/71LwIDA7n++usBsNls3H777TzyyCNEREQQHh7Oo48+SpcuXRg6dCgAHTp0YMSIEYwfP5733nsPgDvvvJORI0fSrl07jx27iIg0TKWldr77fqXr98kfzuelF8Z5cEYiIiIiInKm1q/f4/p59ux1NAry5+GHLj9tiWIRERERERERT/NoEMjhw4cZN24cKSkp2Gw2unbtyqxZsxg2bBgAf/3rXykoKOCee+4hMzOTPn36MGfOHIKDg119vP766/j4+HDNNddQUFDAxRdfzMcff4zFcjxN59SpU3nggQdITEwEYNSoUbz11lu1e7AiIuIVflu8laNHcwhu5M+x/CJ++20rSUkHadeuiaenJiIiIiIi1bSuLAhk2NCuzJu/kW++XUZwcAB3jh/m2YmJiIiIiIiInIZHg0AmT558yv0mk4kJEyYwYcKEk7bx9/dn4sSJTJw48aRtwsPDmTJlytlOU0REpNq++XYZAGPG9CUlNYs5c9Yx+cP5vPzSTR6eWcO2fcchwkKDaNzY5umpiIiIiEg9l5NTwO7dhwH4ywOX0b17Aq/8+3s+/uRXoqNDuWJUbw/PUEREREREROTkzJ6egIiISEOxZ08aa9bsxmw2ccWo87ntliGYzSYW/76NrdsOeHp6DVJBQTEvvjSdW259i3E3/4dDhzI8PSURERERqec2btyLYRg0axZJeHgwV47uw223DgFg+nfLPTw7ERERERERkVNTEIiIiEgN+Xa6MwvIwAEdiIkJpVmzSIYndgdg0uT5HpxZw7Rl6wFuuXUiP8xYCTjv2Hzy759TVFTi4ZmJiIiISH22bn0yAN26tXBtG3W5M/vHrl2pFBQUe2JaIiIiIiIiItWiIBAREZEakJ9fxMyf1wIwZkwf1/ZbbxmCxWJm6dIkNm/e76npNThf/28Jd939LvsPpNO4cQhPP3UNoaGBbN9+iFde/R7DMDw9RRERERGpp9at3wNA964tXNuiomxERdmw2x1s3aosfyIiIiIiIlJ3KQhERESkGr7+3xJuuPENvvtuOXa7o9L+2XPWkZ9fRLP4SHr1bOXa3rRpBCOG9wDgk09/rbX5NmQpqZm88eZP2O0OhgzuzGefPMDwxO48O+E6zGYTM2eu4bvvV3h6miIiIiJ1it3uUMa0aigoKGbbtoMAdO+eUGFf507xAGzavK/W5yUiIiIiIiJSXQoCEREROY3CwmLe/2AuyXvSePnf3zP+rnfYUnb3X2ZmHrPnrGPq578BcOWVfTCbK/55HXfjRQD8viSJAwfSa3fyDdBPP63GMAzO65HAP5/9EyEhgQD06tWau+8aDsDrb/zIpk36cF5EREQEwDAM7r3vA64a+wppadmenk6dtnnLfux2B1FRNmJiQivs69y5GYDeZ4qIiIiIiEidpiAQERGR01i4aAvHjhVhswUSFOTHtm0HGX/nO9x405uMHPUCzzz7FYcOZRAcHMAlI86r9PhmzSLp378dhmHw9f+WeOAIGg673cFPP60GYNSo8zGZTBX233D9BQwa1InSUjv/fu0HlYURERERAQ4cSGfDxr1kZOTxwaR5np5Onba+vBRMtxaV3mt27lQWBLJ5n95nioiIiIiISJ2lIBAREZHT+PGnVQCMvbof0z5/mBHDe2AYBrt3H8YwDNq0jmXcjRfxwXt/JiQkoMo+rhnbH3BmscjLK6y1uTc0K1bs4HBaNiEhAVx0YcdK+00mE48/diW+vj5s335I9dpFREREgGXLt7t+nvnzGnbuTPHgbOq2deuTAejWrUWlfW3bxmG1WsjKyufgwYxanpmIiIiIiIhI9fh4egIiIiJ12aFDGaxevRuTycQll5xHREQwT/1jLGPH9uPAgXS6d0+gcWTIafvp3as1CS2iSN6Txk8zV3PtNQNqYfYNzw8zVgJwyYjz8POzVtnGZgtkyOAuzJq9lu++X0HHjvG1OUURERERt1n02xYAOnWMJyIiuNqPW75iBwCBAb7kFxTz9n9n8fprt7pljvVZSUkpmzbtB6Bb1xaV9vv6+tCuXRM2bdrHxk37aNo0opZnKCIiIiIiInJ6ygQiIiJyCjN/XgNAr16tiI0Jc23v0L4pw4Z2q1YACDgzVIwtywby9ddLsNsdNT/ZBi49PZfFv28D4PKRvU7ZdvQV5wMwd94GcnML3D43EREREXdbvWYXf3tiCn97YgqXX/ECV455iacnfMXOnZmnLE1SXFzKmjW7Afj736/Gx8fC8hU7WLFyR21Nvd5ISjpEUVEJNlsgLVo0rrKNqyTMpn21OTURERERERGRalMQiIiIyEnY7Q5++mk1AJdd2vOc+xsxvDshIQEcSsnk9yXbzrk/bzPz5zXY7Q46d25Gy5bRp2zbpUszEhKiKCoqYfacdbUzQRERERE3WrvWWaYkMMAXk8nE4bRsFizczDfTt3P7He8wb/6GKgONN2zYQ2FhCRERwVx0YSfGXNkHgLf/OwuHQ4HJJ1q/YQ8AXbs2x2yu+iOzzp2dWeY2bVYQiIiIiIiIiNRNCgIRERE5idVrdnE4LZvgRv5cdGHHc+7P39+XUZf3BuCrr34/5/68iWEYzPhxFQCjTpMFBJyZV64c7fyC47vvV5zy7lgRERGR+mDLlgMA/Pnu4cyZ/RQT/3M7113bH1+rmV27D/PU09O4Ydwb7N13pMLjli13Zvzoc34bTCYTt94yhEaN/NmxI4XZs9fV9mHUaevX7wGge7eEk7bp0tmZCWTXrlTy84tqY1oiIiIiIiIiZ0RBICIiIidRngVk2LBu+PlZa6TPq8b0xWIxs2ZtMjt3ptRIn95g7dpkDhxIJzDQjyFDulTrMcMTu+PnZ2X37sOu2u4iIiIi9ZFhGGzZ6nw/07FTPEGBfvQ8rxV/vns4f767B7feMpjg4AD27TvKa6/PqPDY5SvKgkD6tAHAZgvkpnGDAJj84fzaO4g6zuFwsH7DXgC6dWtx0naNG9uIjrLhcBhs3XaglmYnIiIiIiIiUn0KAhEREalCTk4BCxdtAWDkZafPPFFd0dGhrqwic+dtqLF+G7rp3y8HYNjQrgQG+lXrMcHBAQy9uCsAP8xY5ba5iYiIiLjbwYMZ5OQU4OvrQ+tWMRX2+fv7cMvNg/ho8r34+FhYuXIna9fuBuDIkWx27UrFZDJxfu82rsdcOfp8AA6lZCqbRZmsrGPk5hZgMplo2yb2lG07l2UDUaCxiIiIiIiI1EUKAhEREanCd9+voLi4lNatYmjXLq5G++7R3ZleOnlPWo3221CtXZfM/PkbARh9xfln9NjyLzgWLNhMQUFJjc9NRESk3Kuvvkrv3r0JDg4mKiqK0aNHk5SUVKFNXl4e9913H02bNiUgIIAOHTrwzjvvVGhTVFTE/fffT2RkJEFBQYwaNYoDBypmG8jMzGTcuHHYbDZsNhvjxo0jKyvL3YcoHrRlizPYoE2bWKxWnyrbxMWFc3lZ2bz33p+LYRgsX7ETgA7tm2CzBbraBgX5ExjgC0B6eq47p15vZGYeA8BmC8DHx3LKtseDQPa5fV4iIiIiIiIiZ0pBICIiIn8wf/4G3v9gDgBjruyDyWSq0f6bN28MwL69R07TUoqKSnjppekAjLq8N+3aNTmjx3fo0JQ2bWIpLill0+aj7piiiIgIAL///jv33nsvy5YtY+7cuZSWlpKYmMixY8dcbR566CFmzZrFlClT2Lp1Kw899BD3338/33//vavNgw8+yPTp05k2bRqLFy8mLy+PkSNHYrfbXW2uv/561q1bx6xZs5g1axbr1q1j3LhxtXq8Uru2bHUGAnXs0PSU7W65ZTC+vj5s2LiX5ct3sHz5duB4KZgTRUQEA3BUQSAAZGTkARAW1ui0bTt3cgaBbN6yD8Mw3DovERERERERkTOlIBAREZETLFmaxIRnv8LhMBh1eW+uOMPME9VRHgRy8FAGJSWlNd5/Q/LRx7+yb/9RIiOCufeeEWf8eJPJ5LojNikpo6anJyIi4vLtt99yyy230KlTJ7p168ZHH33Evn37WL16tavN0qVLufnmmxk0aBAtWrTgzjvvpFu3bqxa5Sxblp2dzeTJk3n11VcZOnQoPXr0YMqUKWzcuJF58+YBsHXrVmbNmsWkSZPo168f/fr144MPPuDHH3+slHlEGo7NZZlAOnaMP2W7xpEhXDWmLwDvvT+HFSudmUD69mlbqW1EpDMIRJlAnDIzqx8E0rZtLL6+PmRl5XPgQLq7pyYiIiIiIiJyRqrOISoiIuKF1q7dzZP/NxW73cHQi7vy2KNX1HgWEIDIyBACA3zJLyjm4MEMWrSIqvExGoIdO1KY+vkiAB55eBTBwQFn1c+FF3TktddncPBQHpmZeURFhdXkNBukwsJidienEWoLJDIyBF9fvWUUETlT2dnZAISHh7u2DRw4kB9++IHbbruNuLg4FixYwPbt23nzzTcBWL16NSUlJSQmJroeExcXR+fOnVmyZAnDhw9n6dKl2Gw2+vTp42rTt29fbDYbS5YsoV27dpXmUlRURFFRkev3nJwcAEpKSigpUbm0uq6kpJQd21MAaNs2psJzVv7ziduuu64/332/gqTthwBoFORP6zbRlZ7r8LJgh7S0LK0D4Gi6899FqC2wWuejbZtYNm3ez7r1ycTE2Nw9PfmDqta+iLfQ+hdvpvUv3qy21r/+fYk0DPpEX0REBDhwIJ3H/vopxcWlDOjfnqf+MRaLxT0Js0wmE82aN2bbtoPs3XtEQSBVKC2188KL32K3Oxg0qBMXXdTprPuKirLRtk0s23eksHTZDq4YVfPZXRqaZ579ioWLtrh+Dw0NpEuX5jz/z+vx8bF4cGYiIvWDYRg8/PDDDBw4kM6dO7u2/+c//2H8+PE0bdoUHx8fzGYzkyZNYuDAgQCkpqbi6+tLWFjFgMXo6GhSU1NdbaKiKr93iIqKcrX5oxdeeIFnnnmm0vY5c+YQGBh41scptSMlNY/iklL8/X1Yv24ZG9ZXDlKeO3duhd97dG/MkqUHAWjSJJA5s2dXekxOjrNU3sqV6wkKzHTDzOuXVav2AZCdfYSZM2eetn1AgPPD8dmzl+CwH3Lr3OTk/rj2RbyJ1r94M61/8WbuXv/5+flu7V9EaoeCQERERIDfFm8lv6CYdm3jeO6ff3L7F93Ny4NA9h1x6zj11VdfL2Fb0kGCG/nzyEOjzrm/AQPasX1HCr8v2aYgkNM4ciSb3xZvBcDX14fi4lKysvL57betbNiwl/POa+nhGYqI1H333XcfGzZsYPHixRW2/+c//2HZsmX88MMPNG/enEWLFnHPPfcQGxvL0KFDT9qfYRgVspNVlansj21O9MQTT/Dwww+7fs/JySE+Pp7ExERCQkLO9PCklk3/bgWwma5dW3DZZZdV2FdSUsLcuXMZNmwYVqvVtf3CCwu57vo3yM0tYNSogVx6ac9K/WZlL2bV6lRstiguvfRSdx9Gnbdx03dACj16dOLSSy86bXuzZR0rV03HYQTo/HnAyda+iDfQ+hdvpvUv3qy21n955kgRqd8UBCIiIgJkZx8DoEvX5vj5uf8isnmzxgDs3asgkD86cDCdDybNA+C++y4lIiL4nPvs3789H328gFWrdlFUVFIrz3F9NWfuehwOg25dm/Pft+8kJ6eAfz7/NUuWJLF5y34FgYiInMb999/PDz/8wKJFi2jatKlre0FBAU8++STTp093fZHftWtX1q1bx7///W+GDh1KTEwMxcXFZGZmVsgGkpaWRv/+/QGIiYnh8OHDlcY9cuQI0dHRVc7Jz88PPz+/StutVqs+PK8HtpeVguncqdlJn68/PpdhYVb++ex1LFmSxKWX9KzycVFRoQBkZh7TOgCysp13PEZE2Kp1Ptq2bQJAcnIaPj4+bikjKaen1zHxZlr/4s20/sWbuXv969+WSMPgnjz3IiIi9UxWlvND31Bb7aREb95cQSBVMQyDl1/+jqKiEnr2bMnIyyrftXo22rSOITjYl8LCElav2V0jfTZEhmEw8+c1AIwYcR4mkwmbLZDzejgDPzZv3u/J6YmI1GmGYXDffffx7bff8ssvv5CQkFBhf0lJCSUlJZjNFS/DLRYLDocDgJ49nV/Wn5jeNyUlhU2bNrmCQPr160d2djYrVqxwtVm+fDnZ2dmuNtKwbN7i/PvboUPT07Ss6PzebXjwLyNPGvwaWRZoe/So7vQDZzAMQHh4o2q1b9G8MWaziezsfDIy8tw5NREREREREZEzoiAQERERICfHGQRiswXVynjlmUD27T+KYRi1MmZ98NPMNaxavQtfXx8e/+uVNXZHpclkonWrUAAWl5U6kcq270ghOTkNX18fhgzu7NreuVMzwPkl1B/Xa1FRCS+89C2z56yrzamKiNQ5jzzyCFOmTOHzzz8nODiY1NRUUlNTKSgoACAkJISLLrqIxx57jAULFpCcnMzHH3/Mp59+ypVXXgmAzWbj9ttv55FHHmH+/PmsXbuWG2+8kS5durjKxXTo0IERI0Ywfvx4li1bxrJlyxg/fjwjR46kXbt2Hjt+cY+8vEJX0HDHMwwCOZ3ybGtH03NrtN/6KjPTGcgRFlq96wE/PytNm0QAsHt35ew8IiIiIiIiIp6iIBAREREgq6wcTG1lAmnaNAKz2UReXqHuHCyTnp7LxIk/ATD+jqGuD9VrSuvWzrT6i3/f5rrjWiqaNWstABcM7EBwcIBre7t2cVgsZtLTc0k9nFXhMb8u2MSMGat47bUfKC211+Z0RUTqlMmTJ5Odnc2gQYOIjY11/ffll1+62kybNo3evXtzww030LFjR1588UWef/557r77bleb119/ndGjR3PNNdcwYMAAAgMDmTFjBhaLxdVm6tSpdOnShcTERBITE+natSufffZZrR6v1I6tWw8AEBcbRlhY9TJUVFdkpDMIJDe3gKKikhrtu74xDMP1nvxMznPLVs4STLt2p7plXiIiIiIiIiJnw6NBIC+88AK9e/cmODiYqKgoRo8eTVJSUoU2JpOpyv9eeeUVV5tBgwZV2n/ddddV6CczM5Nx48Zhs9mw2WyMGzeOrKys2jhMERGpB7KzyjOB1E4QiK+vD3Fx4YBKwpR7/Y0Z5OYV0q5tHNdeM6DG+28WH0JAgC9Hj+aQtP1Qjfdf35WW2pkzdx0AI0b0qLDPz89Km9axAGz5Q0mYZct3AJCbV6hyMSLi1bKzszEMo9J/t9xyi6tNTEwMH330EQcPHqSgoIBt27bx8MMPV8h85e/vz8SJE0lPTyc/P58ZM2YQHx9fYazw8HCmTJlCTk4OOTk5TJkyhdDQ0Fo6UqlNW8qCQDp2jD9NyzMXHByAr68PgNcHJecXFFNcXApUvxwMQMsEZxCIMoGIiIiIiIhIXeLRIJCFCxdy7733smzZMubOnUtpaSmJiYkcO3bM1SYlJaXCfx9++CEmk4mrrrqqQl/jx4+v0O69996rsP/6669n3bp1zJo1i1mzZrFu3TrGjRtXK8cpIiJ1X3kmkNoqBwPHS8Ls3acgkN+XbOOXXzdhsZh54okx+PhYTv+gM+TjY+b83q0BlYSpyvIVO8jMPEZYWBB9zm9TaX+nTs4vnzZtOR7o4XA4WLFiu+v3JUuTKj1OREREzt7msr+7HTvWbCkYcN50Ux7w4O0lYcpLwfj7WwkI8K3241q2LM8EoiAQERERERERqTs8GgQya9YsbrnlFjp16kS3bt346KOP2LdvH6tXr3a1iYmJqfDf999/z+DBg2nZsmWFvgIDAyu0s9lsrn1bt25l1qxZTJo0iX79+tGvXz8++OADfvzxx0qZR0RExPsYhkFOTgEAoaG1kwkEoHnzsiAQL88EYhgGH330CwDXXjOAtm3i3DZW//7tAFi8eJvbxqivykvBJA7rXmUQTnkQyInZPrYlHSKrLIsOKAhERESkJhmGwZayIJBObsgEAhAR4SwJk56e45b+64vMskwo4WdYcqdVqxgAkpMPq9ygiIiIiIiI1Bk+np7AibKzswFnatuqHD58mJ9++olPPvmk0r6pU6cyZcoUoqOjueSSS3j66acJDnZ+mLF06VJsNht9+vRxte/bty82m40lS5bQrl27Sv0VFRVRVFTk+j0nx/mBSElJCSUl3l0rtz4rf+70HIo30vo/udy8Aux254e2AYHWWjtHTZuEAbBnT5pXPy/r1+9hy9YD+Pr6cM3Yvm45F+V99uqZgNlsYsfOFPbvP0JMTGiNj1Uf5eYV8NtvzuwoQ4d2qfI5aNfWWQ5me9Ih8vMLsFp9WLLE+Zju3VqwYeNedu1K5eDBo0RF2So9XjxDr/3izWpr/evfl7hLenouGRl5WCxm2rZ1T5BsZHkQyFHvzgSSkenMChh2hkEgTeLC8fX1obCwhJSULJo0qfrzLBEREREREZHaVGeCQAzD4OGHH2bgwIF07ty5yjaffPIJwcHBjBkzpsL2G264gYSEBGJiYti0aRNPPPEE69evZ+7cuQCkpqYSFRVVqb+oqChSU1OrHOuFF17gmWeeqbR9zpw5BAbW3l3i4h7la0PEG2n9V5aZWQiAr9XM/Hm1d34OHnR+2L4taR8zZ86stXHrmm++dWaP6NghnKVLF7l1rBUrficurhEHDuTy/gff0qtnjFvHqy/WrU+juKSUyMgAdmxfw84dpkptDMPA39+HwsJSPv30W2JjGzF79mYAoqNNxB4J4uChPCZN+pbu3aNr+xDkNPTaL97M3es/Pz//9I1EzsLRssCMsLBG+PlZ3TJGeSYQry8Hk1F+rs+sNKSPj4XmzRuzY0cKu3anKghERERERERE6oQ6EwRy3333sWHDBhYvXnzSNh9++CE33HAD/v7+FbaPHz/e9XPnzp1p06YNvXr1Ys2aNZx33nmAs9btHxmGUeV2gCeeeIKHH37Y9XtOTg7x8fEkJiYSEhJyRscmdUdJSQlz585l2LBhWK3u+RBNpK7S+j85Z6319YSHh3DppZfW2rjZ2flM/WILOTnFDBkyFH//6tcfbyj27D3CS68sx2Qy8egj1xIfH+mWcU5c//n5YUx8exYpqfZafb7rsl8XfgbAmCsHcNllF5y03aLfMlm2fAehYc0YOLArr7y6AoDbbxvNnLkbmDR5PrnH/HRe6xC99os3q631X541UqSmZWWVZacIPbPAhDNxvByMlweBlJ/r8DPLBALQqmUMO3aksHv3YS68oGNNT01ERERERETkjNWJIJD777+fH374gUWLFtG0adMq2/z2228kJSXx5Zdfnra/8847D6vVyo4dOzjvvPOIiYnh8OHDldodOXKE6Oiq71T18/PDz8+v0nar1aoP0BsAPY/izbT+KzuWVwxAaGhQrZ6byEgboaGBZGXlk5KaTds27knzXZf973/LALhgYAdatox1+3hWq5Vhw7rz9juz2bLlAEeO5BIX5913bBYVlbBu3R4ALryg0yn/DXTu3Ixly3ewbdshGkfacDgMElpE0bRpYwYO7MCkyfNZs2Y3Dgduu2NZzo5e+8WbuXv969+WuEt5YELoGWanOBONI503uXh9EEhmHgBhoWceBNKypfNzpd27K3/uJCIiIiIiIuIJZk8ObhgG9913H99++y2//PILCQkJJ207efJkevbsSbdu3U7b7+bNmykpKSE21vllUr9+/cjOzmbFihWuNsuXLyc7O5v+/fuf+4GIiEi9lp3jTONus9V+ua/mzRoDsHfvkVof29OOHs1h1uy1ANxw/cmzT9S0yMgQzuvREoB58zfU2rh11Zo1uykuLiU6ykZCQuXyeSfq1KkZAJs272fZ8h0A9O3bFoA2rWNp3DiEwsIS1q5Ldu+kRUREvMDxwAT3ZwLx9nIwGRll5/osAm7Kg0B27a663LCIiIiIiIhIbfNoEMi9997LlClT+PzzzwkODiY1NZXU1FQKCgoqtMvJyeHrr7/mjjvuqNTHrl27ePbZZ1m1ahV79uxh5syZjB07lh49ejBgwAAAOnTowIgRIxg/fjzLli1j2bJljB8/npEjR9KuXbtaOVYREam7ylNt29z4AfvJNGvuvUEg//tmGSUldrp0aUaXLs1rdexhw5xBpXPmrq/Vceuipcu3A85gjpOVySvXsYMzY9uhQxks+m2L83F9nEEgJpOJfn2d76uWLk1y13RFRES8Rvl71FB3BoFEqhwMQGam81yHn1U5GGcQyL59RykpKa3ReYmIiIiIiIicDY8GgbzzzjtkZ2czaNAgYmNjXf/9seTLtGnTMAyDP/3pT5X68PX1Zf78+QwfPpx27drxwAMPkJiYyLx587BYLK52U6dOpUuXLiQmJpKYmEjXrl357LPP3H6MIiJS92Vnl2UCCQmo9bFdmUD2eVcQSH5+EdO/Ww7A9dfVXhaQchdd2Amr1cLu3Ye9/q7NZcvKg0BOHxgbHBxA87LApdzcAvz9rXTr1sK1v18/Zx9LliZhGEbNT1ZERMSL1EYQSGRZJpDMzGOUltrdNk5dl5lVngnkzINAoqJsBAX5Ybc72Lf/aE1PTUREREREROSM+Xhy8Op+OXDnnXdy5513VrkvPj6ehQsXnraP8PBwpkyZckbzExER75CV7f4P2E+m/Av1fXu96wPj35dsIze3gKZNIxg4sEOtjx8SEkDfvm357betzJ27gVZ3xdT6HOqC/fuPcuBAOj4+Fnr1alWtx3TqFO/KXNPzvFb4+h5/O9m7VyusVgsHD2awb/9RV5CTiIiInLnyIJCzCUyortDQICwWM3a7g8ysYzSODHHbWHVZeTmY8LM41yaTiZYto9m4cR+7dh2mVUvvfF8pIiIiIiIidYdHM4GIiIjUBdlZZZlAbIG1PnZ5EMjefUdwOBy1Pr6n7Np1GICe57XEYvHM25FhQ50lYebNW++1WSuWlmUB6dq1OUGBftV6TOeO8a6f+/ZpU2FfYKAf3bsnOPtWSRgREZFzUl6ixJ2Bymaz2RVkkn7UO0vClJbayclxliUOCzu7c10e+LF79+Eam5eIiIiIiIjI2VIQiIiIeL3sHGcQSKit9jOBxMaEYbVaKC4u5fDh7Fof31P27EkDICEh2mNzGDigPQEBvhxKyWTz5v0em4cnlZeC6de3bbUf07HTCUEgVZSQ6dvH2deaNbvPcXZytvbsXkdBYZ6npyEiIucoszwTiJuz1ZWXhElP984gkPLzbDabCAk5u6Dwli2d72l3JysIRERERERERDxPQSAiIuL1ssvKwdhCaz8TiMViJj4+EjgeGOENkss+IE9oEeWxOfj7+3LBBR0BmDtvvcfm4SlFRSWsWesM1Oh7BkEgrVvFcNmlPblmbH+aNAmvtL9d2zgAkr1oPZ/Ozp0pjLn6ZT79bIHbx/r4v3fzvzdu4/tp/3T7WN9//S9efqg3y5Z84/axPnnnHl5+uA+7dqw8bdvMQwd550/XMv/tt85qrIn/upJX/jqQzIxDZ/X46iopLuTVJwfz2t+HUlpa7NaxMjMO8fKj/XjnpWtrvO+89HTev/lGfnzxBQB2JC3n5Yd6M3XywzU+loi3KS8H4+6ShRFlQSBHjua4dZy6KjPTGThZXhrnbLQsC2zevSsVcJY/XrI0iW++WUphoXtf40VERERERET+SEEgIiLi9bLKy8Gc5Z1/56r8S/OVq3Z5ZPzaVlRUwsFDGQC0SPBcEAhA4jBnSZj5v2yktNTu0bnUtjVrdlNcXEpUlM31xUV1mM1m/u/Jq3jwLyOr3F/+nB46lElRUUmNzLW+m/j2z6SmZjFp8nxSUjPdOlZQcCQmYN+6+eTlZrh1rB1r5mCx21k0/VXspaVuHevw9pVYSkv48fMJp2274P33yDiwn2VffsHhnTvPaJy83AyKUvdiLsxn+tSnznK21bNt6++Ql42Rk8FP3/7brWMtX/w1luIi8g/uYMWSb2u078WffsyR3btZ/9MM9q5dy9KFU7DY7Rxav4B9ezfV6Fgi3qSoqIT8/CLg7EuUVFeEt2cCKSu7U14W52yUZwI5lJLJ0qVJ3H3Pezz62Ce8+voM/nTDG/zy60avLT8oIiIiIiIitU9BICIi4tUcDgc5ZeVgbG6+y/JkLizLRrFg4Sav+HB4//6jOBwGwY38XenHPeX83q2x2QLJyMhzlUbxFkuXO4+3b5+2mEymGus3LDQImy0QwzDYu+9IjfVbX61es4uVK52BCKWldj788Be3jjdq7JPYfXywOBx8+7n7ghgcDgeOfOeXhZaiQub8NNFtY2WkH8RidwZplaansGHtnJO2PbxzB1vmz3P+YhgsnPz+GY21bevvlP9rSN+xhsOp7gvOS955PKtJ0tLvKCrMd9tYh/Ztdv28aMZ/cDgcNdJv1qFDrP3he9fvCz54j4yUZMB5oTmjGkE7IlK18iwgPj4WGjXyd+tYkZHeHQSSkeHMBHIuZXdCQ4NcwTSPPPYJGzfuw8/PSmRkCIcPZ/H3f3zBAw9O9qrMfyIiIiIiIuI5CgIRERGvlpdXiMPhDLzwVCaQPn3a4OdnJTU1i+3b3Vt+oC7Ynez88LtFQlSNBh+cDR8fCyMv6wXAp1MWekUQTrnyoJd+Z1AKpjpMJhMtysr87En27i86DMPgvffnAtCjewIAP89aw5697jsvfv6BtO9/JQCpW5aS4aaSJqkpO7Cc8O9l46IvKSkudMtYSVt+q/D7vG9ePmnbBR84gz7iu3bDZDazY/FiDm6ufjaKvTtXuX42g1uzgRzev9X1s8Veyvdfua+ET/aRfa6fTcdy+O3XT2uk398++hBHaSlxHTri4+vLgY0bKNyf7tpfkLKbHUnLa2QsEW/jKgVjC3T7+6Xy4IWjXhoEUl4OJjz87DOBgLNkHjjLPY6+4ny++vIRvpr2MLfdOgRfXx9Wr97NXx76kOJi92bPEhEREREREVEQiIiIeLXsbOed14GBfvj6+nhkDv7+vq4v4hcs3Hya1vVf+R2Q5YECnnbdtQPw9fVh06Z9rFm729PTqRX79x/lwIF0fHws9OrVqsb7Tyh7bpO9/G7XJUuS2LTJeSfwMxOu5YILOuBwGEyaNM+t4146+hHsVj8shsEP0ya4ZYwd25YAYLdYsJtMWEqK+XH6K24Za9/u9c6xfP0wACMng2W/f12p3YGNG9m55HdMFguXPf4EXS+5FHCWh6muIwd3OMfyCwAgd+9W9u7ZcI5HULWcowcrjLVnzVzy8rLcMlZJbmaFsVbM/uCcs4EcSU5m45xZACQ++DC9rhoLgGOfgWE4xzIBM7987pzGEfFWmeVBILWQqU7lYM69HAzAPX8ewY03XMjUzx7kr4+NpnFkCP7+vtxx+1A+n/Igfn5WjhzJ4fDhrBqYtYiIiIiIiMjJKQhERES8WlZZEEiozTNZQMoNuqgT4F1BIC0Toj08E6eIiGAuH+nMBvLJJws8O5lasmKF84vurl2bExRU8ynmXZlAvDgIxOFw8N77zrIlV1/Vj8jIEO68Yxgmk4lfft1EUtJBt43t4+NL9yE3AJC1az35x2r+eTiQ7AyM8LU1pkmXCwHYsewHCgrzanysoynOcjrh8R0IiGsJwOIZb1UIYjAMg1/ffxeAriMuJaJZMy645VYsVit71qwmedWqyh1XIa8sc0qbnsMxgkKcJU2+eKYGj+Y4+7FsAPpfdg92i7OEz/Qvnq7xcfJyMzCXlgBw2bjncADmwgLmznz7nPpdNPkDDIeDthdcSJOOHel3w434+PthFJgpzbYw4nrnsZQePcjGdXPP9TBEvE5NBSZUR6TXB4GUlYMJO7eAmzZtYrnnzyNo1iyy0r64uHCio20ApB3JPqdxRERERERERE5HQSAiIuLVssvusgzxcBBI//7t8fGxsHfvkQb/xfnu5MNA3ckEAnD99RdgsZhZtXoXmzfv9/R03G7dhj0A9DyvpVv6d2UC8eJyMPN/2cjOXakEBfkx7kZnkESrVjEMG9YNgPc/cO+X4kMvuQeHfyBmYN/W72q8//RUZ9ac0KhmXHn9BOxmMxa7nR/ckPUhPzMVgJj49oy6/hkcgCk/l0XzP3a1SV61kn3r1mKxWrnw1tsAsMXEct4VowFY8P67py335HA4cOQ7vwBt0aonF13xFwAKU5LZnrS0Ro8pI/0gFrsdgE7dLqZdP+c8UzYtJrPseGtK0rbfMQF2s5lOXQcT0eY8ANb/OpXS0uKz6vPQtq1sW7gATCYGjb8TgECbjYiyskf2FCuduwzBJyIWgLnfuCdLjEhD5ioHE+r+96gnZgI51yxB9ZGrHIybA26io0IBSDusIBARERERERFxLwWBiIiIVzueCcT9qbZPpVEjf3qXleVoyNlAiotLOXgwA4CWCXUnCCQ2Jozhw7sD8MlnCzw5FbczDIP16/cCzkwg7tCi7Lk9cDDdK+vel5baXSVfrv/TBYSEHP8C747bLsZiMbN02XbWrU922xzMZjN9L7nL+XN2So2XNCnMPgJAXPPOBAbaSOg5AoC9a+eRl5tRY+M4HA4odH4R2rJtH+KbdSKkhTNz0oo5k7GXlmIYBgvKsoD0HD2GkOjjWYb6j7sZq78/h7ZuYftvi045VmrKDiyGgQG06TCA3n2vxGSLxAT8PK1mg1uStvwGOMvphIXFcNmYR7FbfbEYBtOn/L1Gx9q7czUAlsAQAK684VlXCZ+fvv33WfW58IP3AeiSOJzGCceDyexRpeBjQCFsmPUzl1z3d2cJn+yjrFjy7bkdiIiXyarFcjDh4c7gB7vd4SqV6E0yMsozgbg3CKRxlPN1OO1IjlvHEREREREREVEQiIiIeLWcsg+6bbVwl+XpXOQFJWH2HziK3e4gKMiPyMgQT0+ngnE3XoTJZGLx4q3s2lWzd+LXJampWRw9moPFYqZjh3i3jBEZEUxwI38cDoP9+4+6ZYy6bOPGvew/kE5ISADXXDOgwr6mTSNc5YfefnuWW++4vmDwOIwgG2bgpy8m1Fi/JcWFmIoKAWjVtg8Ao8Y+id3HWdLk60+fqLGx9u3ZgNkA44Sxrrz+WRyApaiAmd+/xpHk3aRs24aPry/9x42r8PhG4eH0HnsNAL++9w720pMHJe3YtgQAh4+VRo1CARh29eMYQGl6CqtWzKi549q9HgCfRmHO//v40m2ws4RP+o41HNi/tcbGSjvoLP/UKCIOgLDwOGI7DwQgael08vPP7I703KNH2b1iOSazmQtuu73CvmPZh/CJdp7jhZM/oEWz7vjHOrODLPzhDa/MMCByto6XKHF/ORir1ceVccQbS8JklgXchIW7OxNIWTmYtCy3jiMiIiIiIiKiIBAREfFqWdlld1l6OBMIwAUDO2A2m9i+/RCHDtXcnfR1yZ6y8iAtWkRhMpk8PJuKmjdrzOBBzkCcTz5d4NnJuNGGjc4sIO3axhEQ4OuWMUwmkysbSHIDL29UlY2bnCWFep7XiqBAv0r7b7t1CAEBvmzesp9582o2Q8cfDbryYWcQw9GDNRbEsGvnKsyAA2iR0AMAP/9AOl94HQBHk1bWWBDDjrIyLA5ff/x8/QGIikkgqmM/ALYu/prdq1cC0KRzZ4LCwiv10e/6GwkMDSV93z7WfDf9pGMdSHY+F77Bx/vo0u1i/KKbAfDrt6/UWBDD0ZSdAIRENnVtG3bpvTgCG2EGptdgIE1exiEAopq0dW276oZnsVssWOx2vv70yTPq7+DmTQA0TmhJWFyTCvtKj2VjibTjHx5C3tGjLPtiKleOex4HYM7PY9YPb5zTsYh4k9rMBAIQEeEMzj3qZUEghmGcEHDj3nPduHF5EIgygYiIiIiIiIh7KQhERES8WnnK65CQAA/PxHmnZ/duLQBYuGiLZyfjJuUBAS0Tok/T0jNuumkQAL/8upEjRxvmB/QbNuwBoGvXFm4dp0ULZxDIHi8MAtm8ZR8AnTs3q3J/ZGQI4268CIB33p1NYWGx2+bSrccISoMiAPj1m5oJYti9fYXzB/9ALD4+ru0jRj3oCmL49pO/nfM4AIf2OgMO/G0RFbaPvelfriCGpT9OAaBJp85V9uHfqBEX3j4egN8+mkxBbtX/tjMOO8vz2KKOP28leSWM6vcCzSOG1GgQQ37mYQBi4tu7tpnNZoZc9RgAxYf3sXb1zBoZy3HM+YVui1Y9XdsCA210vGAsAGlblnLoYFK1+zu42Zmtqknniuc7M+MQFrsdkxkuusN5vpd+PpVg33Aatz8fgE0Lp1GQf/LX1tL8EjJWpZG9KR3DMKo9J5GGyJWdotaCQIIB78sEkpdXSEmJHYBwN2ddOZ4J5MwyMImIiIiIiIicKQWBiIiIV3NlAqmlD9hP53hJmE0enol7JJ+QCaQuatsmjk4d43E4DJYurf6XovXJ+g3OTCDdujZ36zgJZc9x+XPuLQzDYNOmsiCQTicvt/On6wYSHR3K4bRspn35e4V9SdsPMW/+Buz2kwdsnMkX5M06XeXMxFBQOYjh94Wf88ucSad8/B8DR1L3O4PUAkIrBnOZzWYGj3EGMZSk7Wftyp8q9DHnp7dYuezkmTiqClDJOrwHgLDohArbTwxiyD/kLDlUHgRSVJjPD9+8yNZNi1zte4y8nMYJCRTk5LD4448qjHUkOZlNc2aTn+Fcq7HNOlGaX0r6slQOfLMTx17o2ex2/K1hlYIYcrKPMP3Lf7J/38nLeP3xuBwOBxQ67zpPaN27wr6evS/H2tiZHWT+1y9VeGzKoR1Mn/YsGekHqz1WSsouLIYDA2jToWJpoktHP4ojIKgsaKdiNpCdO1bw/Vf/qjJgozwTSFyHjhW2J211rmO7xULPkWOI79qN0qIiFnzwHlff9CJ2swWLvZQv3nmUDT/PpKSoCIC1q2cy+9uJHF2RyoH/7SJ7YzoZK9MoyXIGRx08sI09u9ed9JhFGqrazgQS6aVBIJmZzvMcGOiHn5/VrWNFlQeBHFEQiIiIiIiIiLiXgkBERMSrZWc5M4HYbIEenonTRRc6g0A2btxHSkqmh2dT88qzQiTU0SAQgP792wHw+5JtHp5JzcvJKWD3bmcGgi5uDgLx1kwghw5lkpl5DB8fC23bxp20nZ+flT/fPRyAz6Ys5OjRHIqKSnj7v7O4/Y63eerpaTz210/Jycl3PcYwDObMXc/oMS/x9398Ue05BQXHEtHOGWxQHsSQkX6Q/zx3Bcu++Tdrf/wvb/3rqgpf+JeWFjN18sO8/JeefDjxjgr9ZR9xlruJiGtVaaxe51+OtbGzRMj8b17G4XCwd88GXv/HUDbO/pCFn/+Tj96+C3tpqesx+fnZvP/6Tbz6UG++/eLZCv0V5aQD0KRF10pjXTr6Uew+gVDovKRp0rETG9fP581/DGXHwq/48f0HXf2ZfXwYet8DAKz4+kte+fP5LJj7EYs/+YhJt93M9/98BvtmB0YJtAm+gAP/20nO1kxwgN1eAkBMaB8s9lK+nvJ/APy2YArvTriU3b9P54tXb+LXuZMrzG9v8npe/ftQ/v3w+RUCUvbt2YDZAANo3b5fpeMafdO/cACm/Fzm/DgRh8PBj9++zGcvXcfuJd8x6bkrWb9mVoXHbFw3l1f+egH/frQfaanJru3bt/wGgMPHSqNGoRUeYzabGXTlwwAUpiazYe0c5/M+6SGmT7ybnYv/x8SnL2Fv8nrXY+wlJRzc4gwCmTP7RYqKC48f1641APg0CsVkMjH0vvudc5v1MzkHUmjbfzSlaRZSvt/IjH89x8d338E7/7yOXTPmkpDRn9zNmRh2w3W+c3Zm8MM3LzL1lRv4+v0HKC11X8YckbqoPDghzM3ZKcqVZwLxtnIwtVUKBo4HgWRn57s1C5iIiIiIiIiIgkBERMSrZZd9wRpqqxuZQKKibPTq6fxi9Z13Z3t4NjWrpKSUffudd+wnJNTdIJABA5zlGVau3ElRUYmHZ1OzNm5yZgFpFh/p9pTn5YE++/YfpbTU7tax6pLNm51ZQNq2iT3tHcXDhnalU6d4CgqKeeGl6dx2+9tM/XwRDoeBxWJm2fLt3Hr72yQlHSQjM4//+/vnTHjmS9LSsvl1wSa27zhU7XmNuf65svIppbz/7xuY9M8rKEnbj4EzGKEoNZmJT1/Cnt3r2JG0nNf/PpTU9QuwGAaZu9Zx9Mg+V18luc4AtfgW3aoca/RNL7iCGN55+Rq+ev1WyM3CAExARtJK3pgwgqNHD7Bq+fe89Y/h5CZvwmwY7Fwxw/Vlf0FhHuYS589tqgiWMJvNdOk2xvmLr4NPP7iH2ZMfw1JUiIHzQid56Xe89YIzwGV3xjpMIQ4wwLHPwpLXJrFw0gc4Sksxmc0Yx8yE5/TCnOyPYTfIL05n/s+vsG7l/wBoFT0UgMObf+ftF65mxbevYbHbMQCLYbB6xtt8/N+7KS0t5pvPn+KrN26FnAwsDgfzZ7zpmveOpKUAOHz98fP1r3RczZp3JqKNs3TLhl+n8uYzl5G0YBoWw3COZS9lzsdPMn3asxQVF/Lxf//M7A8fx1x4DEtpCbNnvOHq68CeDc7TExxe5XPVu++V+ETGYQJmT/un83nfsBBz2bqwFBXw5Ru3sWDuh+TkHOXtp8biKLWDxcBs5LNgzgeuvo6m7AIgJNKZySSuQ0e6DB8BwOzXXiV74X5KD1rBMIEJ0nbuwrTewnnN7sBqCSQzey8L5rzJ8sWfOOe+Yis7Fn7lPG67nfSj+6s8BpGGqLi4lPx8Z7acWssEElmWCeSodwWBZLiCQNwfbNOokT8BAb4AHDnSMMsOioiIiIiISN2gIBAREfFq2WXlYGyhdSMTCMC9916CyWRi3vwNrF+/x9PTqTEHDqRjtzsIDPB13QlZF7VpHUtUlI3CwhLWrNnt6enUqI0bnUEgXbq4NwsIOAOaAgN8sdsd7C8L/vEGm8qCQDp3bnbatiaTib/cfxkAS5cmkbwnjfDwRrz04jg+nHQvcXHhpKRkctef3+OGG99gwcLNWCxmmjaNAGDGjFXVnldQo1DaD3AGTJQePYjF4cDuY+Wi6/9B7ysewG4yYSkq4Ks3b+e7t/+MOT8Ph8lZ2sMMzP1xIuAsf2KxO7N4tOs4sMqxTgxiKDy0G7Nh4AgIYtS9b9Nq4BgcADkZfPjcaBZMfQZLSTF2s9k5B7udhfOdQQA7ti7BBNhNJpo07VD1cdlDADAHGeQfSMIEmEMbc/3jXxDZoa8zwCUlmYlPXsz6me9hbVICGDjyLBh5BtbAAK74x9N0uDURv5AA+vS/FYDdu3/nuyl/5XBqEnklqQCE+MTg2ygGswGFKc7XhoAmrbnlH9/hH9cKE5C+bQWvPTqAPct+xGyA3er8sq8gJZmc7CMAHNrrzKThb4s46fN19c0vYDebsdhLcWQexgAi2vdh3JNfY7JFYAZ2L/mON/96AenbljvPU9lYKVuXucrCZKQ652mLOvl6HD3u+bJyQcdcz3uLvpdz9YMf4vAPwGIYrJrxFu8+NYKCPc5SNKZGYDLBpmXfu/o5luk8T9EnPFeD7rwbHz8/Dm3dwoENG7D4WvGJL8GvYyE+wT70G3gHJpOZfftW8/M3/+TQgQ0cPLwGu70UW2AsjfybENmxH395fj7RMZUzz4g0VOWlYCwWM8HBlYPF3KE8E0jq4axaGa+uKM8E4u7gWHD+3S9/D3w4TSVhRERERERExH0UBCIiIl7LbneQk1MAgC2k7gSBtGsbx8iRzi9Q3/zPT64v8+q75LKyIC1aRGEymTw8m5MzmUwMaKAlYdZvcAaBdHNzKRhwnsfykjDJXlQSZtNmZ7aC6gSBlLe7fGQvABKHdWPqZw9ywcAOtGkTy0eT72XggPYUF5eSnZ1Pm9axTJ50D48+MgqA2XPWnVE6+ctGP4YRFIIBNGrRifuem0Pvvldy0cW3cO1DH+HwD8RiGM4LhEY2rnnwI1r0cGa/2L95MQ6Hg6StvwNgN5tpHHXydXT1zS9g9/HBAcR0vYiHnp9P23b9GH3N3xl+64vYfXywOByYAGvjptz29+8IaebMwrNhyTcAJO90BrmYAxphNld92XJw82bnD40c2E0m2lx0DX+Z8DNxTdpx85//S+8r7ncGlzicGTtsHTrRa+xYZ78hdkIGxdA5cTiZufs5f/D1BAaGkp2VwsrfphDeNJ6b336X4Y8/wtG0XZhMJgae/yAOnMExvUc/yD2Pf0Vk42bc+7evaTngShyAxWF3Hne3QTz80iLsPlZnIM1PbwGQleb8dxgWnXDS8xcSEknHC6/FAOy+/iTe+iK33PMO0TGt+MvTP7sCXCwOO3aTiXaDruPup390jl9awrLFXwFQkOUMPIlt1umkYzVP6EZUx7JMK2XP+1XXP0OLlt25b8LP+Me1xATOwKF8CwAdB10KgJGTwb69m5x/pwqcX1ontOl1/Diiorjw1tud4/Q4j7s/+4LATk0w+ULvETcRYosh/1gGyxd9TKPIcHy7+mNqlkPqQefz2r/vo9x899tVZkwRaSiSth/iy69+r/B+L7MsCCQ0NKjW3jO1bRuH2Wxi69YDrFq1s1bGrAsyMmqvHAxAVGNnEMgRBYGcs8LCYg4cyMUwjCr3/++bpbzz7uyT7hcREREREWnIfDw9AREREU/JyyvE4XB+KGiz1Z0gEIC7xg/jl182si3pIDN/XsvIy3p6ekrnLDnZGQiQkBDt4ZmcXv/+7Zn+3Qp+X5LEIw8bdTpopbqKi0vZuvUAAF27tqiVMVskRLFl6wH2eEkQSFFRCTt2pADQqVN8tR/3+F9Hc8cdQ2kcGVJhe3BwAC++cCM/zFhFUVEJY67sg9Xqg8PhIDY2jJSUTH5dsJlLRvSo1jgWHx/uffpH8nLSKwVwNG/RlfuencX/Pn2S4NAoRl39JGazmRBbYyatmo2luIjVK35g3+41zr6CTp3NJyQkkruf/gm7w05YWEyFfV17JBLfvDPTpz5Nsza9GDriLgAuHH4nP7//EPbMNFIO7eDwgSQAgv6fvfOOjqs6v/YzXRq1Ue/Fcu/duIFNcQVMCS0kECCUJGBCKGmEtC8JkECAkB8lFEMwnRjcDQZX3HtXsXqvU9Sn3e+PMzOSULFkS5oZ+T5reS3rzi3vHF3dcs4+e0fEd3oMyemk5LQQC1z/8+dJHjuB4GBDu3XmXXk3aUOnsnn1C0y8ZBnTZ96AJEnYYuxk7PoIS0UmLc2NBDdGkhwzG0lyohkGl917D9NvugVNgBAfHK//mqiYoejN4dz5208xGOLRBbS/b9xw61OcGDWbvVvf49KF9zLK5ZSSMHoWFSd2kHv0G7j9T7SYq1EBiWkTum3Da258gqkzryc6JhW1WutZrlKr+dFPX2HX9g84c+xrln7vVyQkCuGaPj6d5rJcDm5/nxmzb0TRIoSOw0bN7PZYP/rJ/1FSnEF8woh2gptAfSgP/vozNq5+gcrSbCylZVioYMK8RZxd9Q2KBgvfrHuZK5b+DKUrrmb4iPbHmvWDHzJu0SKCI6NQKBT87FefUXoqG7s4lVAPUzDrh7cz45ZbUet0rPrwj5QfPk1iykS0Jt+IapOR6U+ee241p04XkZQY6Ymkc7tThA9QFAxAUmIk37txJp9+tofn/rmG9959GI1m8HcZGY1CcDMQcTCA7ATSh6x4ZysffXyayKh93Hbrpe0+q6w088KL65AkiSWLJ3uEyTIyMjIyMjIyMjIyMhcLshOIjIyMjMxFi9ncCEBQkM7nOrkjIkK4+64rAHjt9S9paGj2ckUXjlsIMMQPOmGnTR2KTqehosJETk65t8vpEzIzS7Ba7RgMQSQndx1D0ZcMucicQM5kFONwOImKDCEu1tDj7ZRKZQcBSNvPrr9uBrfeMsdznVIqlR5h2Jq1B3pVY2BAcJcOHoEBwdxx/7+4/pbfeYQA4REJ6GKEoGXflveoLM4GICQy4ZzHCg2L7iAAcRMekcA9y9/wCEAAxoybhzMwCAXw9bqXqasWoqXohOGd7qO6oICW+nrUOh0jp87uIABxk5o2gXt/voLpM28AhEvNghsfxqlSonI62bHpPSZEfA+AuvByxl57BbN/eKdHAAIQM0m0gcYRRERISgcBiJvxE6/kvkfe8QhAABZcuxwJUDY3cuTAepQ24d4yfNSsTvfRlviE4e0EIG2ZM+927n34bY8ABGDmVT8CoKWqhCMHN6AEnMCQIVPOeazEpFFdOq4sue4XfO/Wv2CpqACFgoTRYxg5TbiBVJ09TJbLIcap1XXaNiFR0a1iOocCKUOcyyGjwhm5eDaX3n0PuqAgVGo1N9/xF8ZcPR+Hw45WEURLTeM5a5eR8WcKC4Vjz5mMYs8yUxsnkIHk3h9fRUREMIWF1Xz40a4BPba3MJpccTARAyUCEff7qipZBHKhHD6cB8AXqw90cPv48qujnmVlZcYBr01GRkZGRkZGRkZGRsbbyCIQGRkZGZmLFrNZdLCHhfnmTOObb5pFclIktbX1vPPuNm+Xc8F44mCG+L4IRKfTMG3qUAB27c70cjV9Q9somIFyNnHPuszPrxqQ43mbU64omLFjk/u9ja+5eipKpYJjx/IpKOzf9p1x+Q8BaCrPo66qEICYpJHdbXLeDJu8AICyjH04GsQAWUp6504nbheQhFGjUap7J+TTaQOIGDKB0IBkosrS0amDMTbmEXdJ5xEtoxddQU11HgqFgtK9vbsmxMYNRR0hxDDfrPoHCsChUJCYNLpX++kJk6dejUMbgBLYvvpFsTBAj6qX7dMZJadOAhCdlkZAcDBXLfmJiNpxODi2U8TP6EKjut2HzWKlYnMRjkY76lAtEdM6vx+MuGwuVZVZABTtOnPBtQ8Uzz//PNOnTyckJISYmBiuv/56MjM7ni9nzpxh2bJlhIWFERISwsyZMyksLPR83tLSwvLly4mKiiIoKIhly5ZRXFzcbh9Go5E77riDsLAwwsLCuOOOOzCZTP39FWX6mLq6JurqhdA3+2yZZ7m3RCAhIYE8+LMlALzz7hbKy00DenxvYKwdWNeVmBgDIDuBXCh2u8PzblFYWO15BgOQJIlNm454fi6vMA10eTIyMjIyMjIyMjIyMl5HFoHIyMjIyFy0mFxOIAYfi4Jxo9GoeXj51QB8+tlurFa7lys6f+x2B4WF1QAM8QMRCMCc2WKQe9fuDC9X0jccPyFEIAMVBQOtTiCFhVXY7Y4BO663OHlSDOKOG5fS78eKjg5j1kxxjq5de7BfjzVj1vdwaLQoAZUrXiRt6LR+OdaCqx/CqQCV3YbK6QRgZBtXjbaUnDwBQOK4cb0+juSUuHzCw1w+8v9hCEiixWZhX+FrxCakd7p+QHAwVk0dAHVna3t9vElzbgJA0WABQBkY3KXrxoWgVCpJHX9Zu2MFGvrmmusWgSSOFe0dqA8l1CUGch8rPC6t020lScJyppaS1bm0VDWh0CiJuSwBpabzNlBrtSgjxO+/pdR/nLB27drFgw8+yN69e9m8eTN2u52FCxfS0NDgWScnJ4e5c+cyatQotm3bxrFjx3jqqacIaOM888gjj/D555/z0Ucf8e2331JfX88111yDw9F6Hb399ts5evQomzZtYtOmTRw9epQ77rhjQL+vzIXTVmSRldUqAmmNKBl4ofLiRZOYODGN5mYb/3p5/YAff6CprR1gJ5BolxNIpWVAjjdYycurxGZrvSauW3/I8//MzNJ2LnQXg5hJRkZGRkZGRkZGRkbmu8gikEFGU5PV2yXIyMjI+A1mk9sJxDdFIACzZ49Ep9Ngtdqp9OMZg8XFNdjtDgIDtcS6stB9nTlzRgHC3cForPdyNReG0+nkxIlWJ5CBIi7OQECABpvNQWnp4LbiliSJk22cQAaCZcumA7Bh42Fstv4TiSmVShJHt0aXSMDI0bP75VjBIRHo44d6fnao1IR1IWJwO4Ekjhnbq2NYjc2UbSxAma9DpdRQZj7E1xm/plHd/d950hzh3KHXRNJY3bvBu0svvxOHSuX5OSgivlfb94YF1yzH2ebnyDbteSGUnHK199hW0c3cRfe2WycxdUKH7WxmK+VfFVGztwLJLhEQpyfx+nR00YHdHi/9ymk4nXb0ugiM+WXdrusrrFq1irvuuouxY8cyceJEVqxYQWFhIYcOtQ5OPvnkkyxdupS///3vTJ48mfT0dK6++mpiYsR5bjabeeutt3j++ee56qqrmDx5MitXruTEiRN8/fXXgHAS2bRpE2+++SazZs1i1qxZvPHGG6xbt65T55HBgt3uYMfO0zQ2tni7lD6jtE1MRUWFCYtFCJS95QQCIjLr8UeXoVIp2bb9FHv3Zg14DQOF3e6gzCUQiIsLH5BjxsSK5+CKStOAHG+wkpVdCkBAgLi3fv3NcU9/2MZNhwFQqUSXZ3n54H4GlZGRkZGRkZGRkZGR6YwL9wW+AJ5++mlWrVpFRkYGgYGBzJ49m2effZaRI1vtpe+66y7efffddttdcskl7N271/NzS0sLjz/+OB9++CFNTU1ceeWVvPLKKyQlJXnWMRqNPPzww6xZswaAZcuW8fLLL2MwGPr3Sw4Q5eUm/vniWsrLjLyz4qF+mVkoIyMjM9hwO4H4ahwMiI74uDgDBQVVlFeYSEqK9HZJ50VWluioHTo0zm/uUdHRYYwYkUBWVil792axZMkUb5d03hQWVmM2N6LTaRgxImHAjqtUKklLjSEjs4S8/EpSUrqPivBnyitM1NTUoVIpGT0q6dwb9AGzZo4gKjKE6po6dn57hisuH09TnYXCo0cJT0wkJr1vBv8BFlzzMP89vh0F4NRoCdSH9tm+v8vsK+9iy3tPAaAONnS6TnN9PVV5eQAkjhvfo/3azC0Yj1bTkCsEHAqNkmL1IfYd+ScAwZHdi0mSp43n2K5vCAtL5NSqLURMFBEvKrWapHHjUet0XW6rUquJGT6Vmoz9AEQnDO9RzedDRGQiuugkbFUiPiRpyMQL3qfTbqcsQ8SytBWBjJtwBRsDglA2iwHr4aNaxUK2ehumo1XUnzWDBAqVgvBpMYSODu9RXFL08CEUrt9IRFgahdtOEn5X/wln+guzWYg3IyIiACHIW79+Pb/85S9ZtGgRR44cYciQIfzmN7/h+uuvB+DQoUPYbDYWLlzo2U9CQgLjxo1j9+7dLFq0iD179hAWFsYll1ziWWfmzJmEhYWxe/fudu/TblpaWmhpaRVPWCzi78Bms2Gz2fr8u/cHK9/fwRtvfsOP7pzHPXdf4e1y+oSSkup2P5/JKGbK5CHU1grnodCQgHP+ftyf9+XvMSUlkhuun8Fn/9vLF6v3MXVq51FZ/k5uXgV2uwO9XkdkZNCA/C2EhwvxucXSRF1dAwEB2n4/5mAkI0Pc48aOjaa0tJmyMhPfbDnOlVeM46vNxwBYuGAiGzcdoazM6DfXORmZntIf134ZGX9BPv9lLmYG6vyX/75kZAYHXhWBbN++nQcffJDp06djt9t58sknWbhwIadPnyYoqHVAbvHixaxYscLzs1bb/iX5kUceYe3atXz00UdERkby2GOPcc0113Do0CFUrhl3t99+O8XFxWzatAmA+++/nzvuuIO1a9cOwDftf/R6HUeO5NLQ0MKOnaeZP6/3ttgyMjIyFxtmtwjE4LtOIACxsS4RiB9bGWdli1ncIwdQgNAXzJk9kqysUr7dleHXIpCzOeUADB8ej1qtOsfafUtamhCB5OaWM++yMQN67IHEnUU/fHg8Op1mQI6pVqtYunQq/31vG2vWHuSKy8ez5dVXOLp2DZfc9n2uenB5nx0rJm4I6og4HLXlaEMi+my/nTFx6hI2f/JXVC3NhEZ3LqgpyzgDkoQhPoHgiO7rcVod1Oyv8IgRAILSQoiYHkusMp7de55HJUnEJI7odj8KhQJVJGAHe5WTjx5/1PPZtBtvYtEvHu16Y+CKqx/ik4w7UQAp6ZO7XfdCmT7/dnZ/+ncARo6ac8H7q8zNwdbcjC44mKjU9m5C6ZOuIH/vWpwKBUnJY3DanRgPVmLJNOK2JAlMCiZyRgyasK6FMp0RmBwEFsCsQnI6UfiJiBCEO9Cjjz7K3LlzGeeKLKqsrKS+vp5nnnmGv/zlLzz77LNs2rSJG2+8ka1btzJv3jzKy8vRarWEh7d3JYiNjaW8XFzLy8vLPc4hbYmJifGs812efvpp/vSnP3VY/tVXX6HX+/ZzkJv1G4QbzZ69x4mL9Z+YoO7Ys7eg3c9r1myhvCyevPwSAHJyM9mwoapH+9q8eXOf1qZUChHTyVN5bNiwoU/37SucPiNEOAaDho0bNw7IMSVJQqtRYrU5+eyztUREdO+KJNM5+/efBiAuRo8+UE1ZmYmVKzeTmXESs7mRIL2GiAghfMsvKB+057CMTF9f+2Vk/An5/Je5mOnv87+xsbFf9y8jIzMweFUE4hZkuFmxYgUxMTEcOnSIyy67zLNcp9MRFxfX6T7cdrnvvfceV111FQArV64kOTmZr7/+mkWLFnnscvfu3euZLfXGG28wa9YsMjMzO50p5W+EhgZyy82zWfHOVlas2Mpll47xm5nWMjIyMt7CbHZZbfuwEwhAXKwB8G8r48wsMZjhbyKQ2bNGseKdrRw8lOPtUi6IkpJaAJISB95JZvToRDZ9eYRjxwvOvbIfc/JkIQDjBigKxs2110xj9Zr9DEmLwel0kjp5CkfXrqHgyJE+P9bV3/8D695/ikuv/mmf77stSqWSy254jN0bX2fBskc6Xaf45EkAEseeOwqmem85DTnC9SAwOZjwydHoIgMAUKNh3OU/IOvYN1y55NzfK33hNCo3lBETP5Kk0RNobrRQXZBP9p5d5xSBpKSOI2Hi5Ziqi5gy45pzHutCuGTOLZw4uBGNNoCYuAufwV98ytXeo8d0EGIsuf5R3s4/QXzaOJRKJTUHyrGcEfergHg94VOiCYg5P5HB0KumUvxZLuoAHU2WevSG/nOg6Wseeughjh8/zrfffutZ5nQKVcx1113HL37xCwAmTZrE7t27ee2115g3b16X+5MkqZ2DSmduKt9dpy2/+c1vePTR1nPUYrGQnJzMwoULCQ31/XZtaGjmuecPAKDVBLN06VIvV9Q3fLvrA6CcqKgQqqvr0GjCWbp0KSvfzwbgyisvZcL47mPcbDYbmzdvZsGCBWg0fSdCrKw088mnGZjNVhYuXDTgItKBoLjkayCHqVNGDug59dEnuRQWVjNmzGSmTEkfsOMOFpxOJ/9+5SgAsbFB/OAHV/Ptrn9TWFRHUJC4nl199TS+9705vP/BaRoa7CxYsBCNxqtdoDIyfUp/XftlZPwB+fzvSFNxA44mO0HDQnvkuihzYTSXNWK3WAkaHoZCObDtPVDnv9s5UkZGxr/xqTeg79rlutm2bRsxMTEYDAbmzZvHX//6V8/MJ9kut5Ubb5jBx5/sJvtsGVu3neSyS0d7uySfQ7aLk7mY+e75bzY3EhoaeFG/HBiN9QAEB2l9+roQExMC4LdWxpIkkZkp4mDSh8Z45Tuc7/U/MdEAQF1dE2ZLPfrA3s1i9xWKisQs4vh4w4C3//jxKQCcOF5AU1PzoBxEAjhxQohcRo1KHNA2jokJYdVnj6NWq3A4HCS4ojoqsrOoNxpRuiJK+qKmtPQpPPTU+j7bX3dMnb6MqdOXdXms4hPHAYgbNbrbWppLGzwCkKgr4glICOqwzwVXL2fB1cu7PFZbtBFBqMM02M02rn/ib6hjVbx07TWYy8qoLioirAvhupub73wGAEnq/za8+6E3gb45TtFxV3uPHtNhfxqNngee+BiAhrI6LKeFACRibiz6tJALqkGp1xJ34xC0wed3HnvLKnf58uWsWbOGHTt2tIsojYqKQq1WM2ZMe1ek0aNHe8QicXFxWK1WjEZjOzeQyspKZs+e7VmnoqKiQx1VVVXExsZ2WqNOp0PXSWSRRqPxi87zkyfP4nCJaGpr6/2i5p5QUSH6QC6dO4bPv9hHTm4FGo0Gk0uoHBUV1uPv2te/y4SESPSBWhqbrFRUWEhL6+g+4+/k54vno+HDEwb0nIqNNVBYWE1NbcOgOZcHkuKSGhoaWtBq1EREBJCYGMWM6cPYtz+bMxlCeH710mnERBvQatVYrXaMxiYSE/vXyUxGxhv4y31cRqY/kM9/kBwSNfvLqcswiQXNTsKnDL5nNl9BckoYD1dhPlEDgMNiJ3JWnFf61vv7/L/Y/7ZkZAYLPiMC6cwuF2DJkiXcfPPNpKamkpeXx1NPPcUVV1zBoUOH0Ol0sl3ud5g4IZI9e0t5+d9rqLPkXtSDu90h28XJXMxs3ryZw4fL2fxNAfMuS2bmJf7lzNCX5LuttnN6brXtDcrKRG2nT+f4pZWxydRMfX0zKpWCjDOHyM7ynlPV+Vz/3Zbdq/63zm8tu0+cPAtAVVXhgJ9DkiQREKCmqdnKinc+IzEhZECPPxA4HE4ys4TQqaryLBs2FHu1Hq0hHKvJyBcrVhAydCgw+J59ClwikDyjiYouzmmFpGCkOQ0tGqp0Ro4fzYKjF37suJYoYoggZ382RcHlBMTG0FRWxrr3/kv42MEZyXj20CEAShoaur6GSDDckkogOoxaC8dPZ8HpASyyGwbKKleSJB566CE+//xztm3bxpAh7V1YtFot06dPJzMzs93yrKwsUl0xO1OnTkWj0bB582ZuueUWAMrKyjh58iR//7uI+Jk1axZms5n9+/czY8YMAPbt24fZbPYIRQYbBw6e9fy/uqauW9cTf0GSJMpcLm/z5gkRSH5+JfX1zTQ0iAkp4QbvudUpFApSUqPJyCihoKBqUIpA3HF5Q9M7F0/1FzHRYYBwW5HpHkkSOW5t/96zXM9cQ9JjUKnEe8U1V09l337hoDNsaBzDh8cDEBsTRlFxDeUVRlkEIiMjIyMzqLA32KjcWkJLVZNnmelYDeoQLSHDDd4rbJDiaLZTub2U5tIGz7K6TBOaUC1h4wbedVdGRkamJ/iMCKQzu1yAW2+91fP/cePGMW3aNFJTU1m/fj033nhjl/u7WO1y58xp5Nbvv0BlZSNhYUOZO3eUt0vyKWS7OJmLGff5P3ToBP754kEA8vKb+POfBoed9vnwwUdngXouv3wukyalebucLklMzGf9hlzsDrVf2p9v334aOMawofFce23/RiB0xYVc/z/46CxFRTWMHTeFyZMuPFbBG7z9zhkAli69nLFjBjauBGDPvjp27jyDXp/A0qWXDvjx+5vikhqczgPodBq+//0bvD4wqTh9khMb1hOrVTNnwYJB9+zTXFfHyeeeBWDZ7bejDexcnGU6VE290YQqSM3Ea6YyWdM3ArSWyiaqviohAgPjFk9mR3ER+z76gAgklvjhNfpcOB0OTr/wHABLbr6F0E7E9QCWk7VYjtai1CkZc+1ExgdMGcgyO2WgrXIfe+wxPvvsM1avXk1ISIhnwkFYWBiBrvP0iSee4NZbb+Wyyy7j8ssvZ9OmTaxdu5Zt27Z51v3xj3/MY489RmRkJBERETz++OOMHz/eE386evRoFi9ezH333cfrr78OwP33388111wzKKJOO6NtLJvVaqe+vpmQEP8UZrqpq2vyiD0mjE8lLEyP2dzI4SO5AKhUSoKDA7xZImmpMWRklJBfUEXXYUX+SX19MxUVJgCGDu3examviY2VRSA9obS0ljvvepnFiybx+GPXeZZnZZUBMHxYvGfZ3LmjCQkJpK6uicWLJ3uWx8WFU1Rc43HdkZGRkZGRGQy0VDVR/nURzmYHSq2S6MsSaa5sxHy8hupdZaiDNAQm+Hb0tT9hNbZQvrkQR4MdhVpB1Jx4HI12ag9UUnugEnWIhqBU3x0zlJGRuXjxCRFIV3a5nREfH09qairZ2ULhL9vlticqKoybvjeL91Zu5933tjN//jivD0T4Ir7+e5SR6S/sdidPP7sam80BQGFhNRWVFpISL07FssUi1PKRkaE+fU1ITIwCREexSqVCqfSek8b5cDZH3INHjkz0ejufz/U/OjqMoqIajMZGr9d/PrS02KiqEgOUqSkxXvkOUyans3PnGY4fL+SuH/lfG56Lqqo6ABLiw9FqtV6uBoZMmcqJDespOn7M8/seTM8+1VXCHSkoIoKgLsTZLdVN1LsscaNmxaPT912UkzpeTY1OhbPFgdNoJ23qVPZ99AFFx44OmjZui7mmGqfDgUqjITwuDqWqY6STzdxC3QlXDMyMOAJCvDtw/V0Gyir3rbfeAmD+/PntPl+xYgV33XUXADfccAOvvfYaTz/9NA8//DAjR47kf//7H3PnzvWs/8ILL6BWq7nllltoamriyiuv5J133kHVpu3ff/99Hn74YU8s6rJly/j3v//db9/Rm1RXW8jLq0ShUKDRqLBa7dTU1Pm9CKSszPU3ExFMQICW4cPiOXgohwMHhOuJwRDk9We+1NRoAPILKr1aR3+QmyueT6OjQwkNHVi312i3E0iVLEzojr37smhsbGH1mgPcfdcVREYKN7nsbOEEMmxYHFANgE6n4fHHlrFrdybXLZvu2UdcnAGAcpfrjoyMjIyMzGCgem85zmYH2nAdMVckoQnVEpgUhL3ORkOehcqtxcRfnYbW4J+Rxr5G7YEKHA121KFaYq9IRBsegCRJ2Oqs1GWYqNpeinqJBl20f7+fyMjIDD682qPgtstdtWoVW7Zs6WCX2xk1NTUUFRURHy8U/23tct247XLdIpC2drluBrNd7vdvm0tgoJasrFJ27crwdjkyMjI+xLYdReTlVRIeHsTIESIGZvfuzHNsNThxOJweEYjB4LsxXyA6p5VKBTabA6Ox4dwb+Bhuy+aRI/0zeig6WgwyV1dbvFzJ+VFaWguAXq/D4CVb+SmT0wE4fjwfu93hlRr6k9IS0cbxCeHnWHNgSJ0kZsCWZ2XR0uB/14xzYSoVUV6G+PhOP3fanVTvKgMJgtJD0ScH9+nxFUoFgUnib6mxqI7k8RNQqFSYSkuxdCI893eMpeIaHhbbuQBEckhU7y5HckgEJAQRPPTinQFlNpuRJKnDP7cAxM0999xDdnY2TU1NHD16lOuuu67d5wEBAbz88svU1NTQ2NjI2rVrSU5u7+IUERHBypUrsVgsWCwWVq5cicFg6Odv6B0OHRbOGCOGxxMfL66z1TV13iypT3BHwbi/0wjXs3lbEYi3SXOJQAryfTc28XzJyXVHwQysCwiIiBKAStmdolvcQh2Hw8mGjYc9y7OyXU4gw9s/Byy4aiJ//P0tBAW1ChFbRSCm/i1WRkZGRkZmgHA027FWNwMQuzAZTaiYiKJQKIiaG48uJhCn1UnJ6lxK1uZRs7ec+lwzTuvg64sZCJx2J83lIv7TLQAB0d6Rl8QRmBiE5JAoXZ9PyepcqveUU59jxtFs92bZMjIyMoCXRSAPPvggK1eu5IMPPvDY5ZaXl9PUJAbl6uvrefzxx9mzZw/5+fls27aNa6+9lqioKG644QagvV3uN998w5EjR/jhD3/YpV3u3r172bt3L/fdd9+gtcs1GIK48YaZALz73jav1iIjI+M7HDhwlkOHRGfnk7+9iQULJgKwe8/FKQKpq2vyZEwP9Oy/3qJWq4iKEoNq/taBKUkSGZliwHbEcP8UgURFirZ3u2n4GyUugUJiYoTX3MGGDo0lJCSQxiarRxQ0mCh1zeZOiPcNEUhobCyGhAQkh4OSkye8XU6fYyoTgz+G+I7XlJaqJkrX5GGtbUGpUxE5o3PXvwtFnyRmIzcW1aMLCiJuxAgACo4e6ZfjeZPW9u4ourEamyldl0dzeSMKlYKo2XGyC6FMn3PwoIiCmTZtmMcJoGYQiEBKS10ikDhx73APaBcWCWcDXxApp6a5RCCFVZ7n5sFCTo5LBDK0f+4T3REdI54tK+Q4mG7JyW0VVq5bdxBJkqipqaOmpg6FQsHQ9HP/7uJiDYD/vUPJyMjIyMh0hVuQoDHoUOvbux0q1Upir0xCGxkATrBWN2M5Y6Rqeynlm4u8Ua7f01LVhOSQUAWq0XzHWUWhVBBzeSIBcXqQwFrbQl2GkaodpZRtKBh0z88yMjL+h1dFIK+++ipms5n58+cTHx/v+ffxxx8DoFKpOHHiBNdddx0jRozgRz/6ESNGjGDPnj2EhIR49vPCCy9w/fXXc8sttzBnzhz0ej1r167tYJc7fvx4Fi5cyMKFC5kwYQLvvffegH/ngeK2W+egUCg4daqIKj+duSwjI9M3NDS2sHHjYf72zOcA3HD9DGbPGsns2UIEd+RILo2NLd4s0SuYzGJ2fHBwAGp1x5nNvoa7A9OdXe4vVFdbMJkaUKmULstm/8PfnUBKXE4g3ox9UiqVTJqUBsDhI3leq6O/cLutJCREeLmSVlInTwGg6NgxL1fS95hczhSGhFYRiOSQMB6upHR9PjazFVWgmpjLE1EF9k/6pT4pCBRgM1uxWaykThLtXTgYRSBu55WERM8yySlhOlFDyZp8j+AmZn4imhDvxyHJDC4kSeLgQeGMMW3aUI8otqba/0Ug5d91AvmOq4EvOIEkJUaiUilparJSOcgEC26BQbpXnEAMgBClNzVZB/z4/oAkSR4nEIVCQVFxDUeP5XvExCkpUQQGnvueE+sWgfjZO5SMjIyMjExXNJWK/szAhM4Fw6oANQnXppF001Ci5yUQOjoclNBS2URLTfNAljoocLd3QIK+0wkPSo2K+CWpJN8yjJj5iYSOjUChVmAzW2kuaxzocmVkZGTa0T+9oj3kXEq4wMBAvvzyy3Pux22X+/LLL3e5jtsu92IhMjKEkSMTyMgoYd++bK65eqq3S5KRkRlgDh48y+o1B9j57RmsVmFBFxkZwE8eWABAako0CQkRlJbWcuBgDvMuG+PNcgcck0k8xPu6C4ib2NgwOOF/s9gyM0VHbWpqNDqd5hxr+yZRUUJ46q+iypKSGkA4gXiTyZOGsHPnGY4czeOHP7jMq7X0NW4nkPh43xGBpEyazLH16yg8dpTIpORzb+BHmMpcIhCXE4jklCj7soCWCuEmGJQeSuTMOFS6/hP4KbUqAuL0NJc10lhUT8qkSez98P2LwglEkiQqtxTTWFQPQGByMFGz41HrvfpqKTNIKS6uoaLSjEajYuKEVE9UyqCIgykzAa0ikOTkKLRatee5PTy8b6Oszge1WkVSUiQFBVXkF1R5BtT9HUmSPE4gw4YOvAgkKEiHPlBLY5OVyiozqSnRA16Dr1NdbaGurgmVSsmCqyay6csjrF17kFRXRNF3RVNd4Y6Dqagw4XQ6USq9OhdORkZGRkbmgvGIQOK7FgwrFAo0IVo0IVqC08NwNDtoyLNQl2VEN6tn91AZQXPZudsbQB2kQT1EQ9CQUCSHRF2GkbpMI4EJ3hd2y8jIXLz0qKduypQpvdqpQqFgzZo1JCYmnntlmX5j1swRLhFIliwCkZG5yPjk0928+NI6z88pyVFceeV4goPMBAS0ZkXOmT2STz/bw+49GRedCCTflW3u7YHxnhLnsgovrzB6uZLekemarTdyhH9GwQBER4vc9mo/nXXcGgfjPScQgMmT0wE4fjwfu93hFw48PaXMJQJJTPCNOBiA1EmTACjPzMSwYJF3i+ljPKIElxOItbaZloomFCoF0ZcmEDQkdEDq0CcHu0QgdSTPnYhCqcRYXIylqorQ6MEzoOcR3bja295gFwIQBUTNiSd4WJgcASPTbxxwuYCMH5dCQIDWEwfjr+5cbSktE/dntwhErVYxdGgcZ84UAxDuA04gAGmp0UIEkl/JJTOGe7ucPqGy0kx9fTMqldIjKhhIFAoFMbFh5OdXUVUpi0A6w+3UkpQUyU3fm8mmL4+wZesJJk5IA2BED98tYmLCUCoV2GwOamvrPW5CMjIyMjIy/oit3oa9zgYKRARJDwkZYaAhz0J9joWIabEoNbIosic4rQ5aqoV7yrlEIG0JGWGgLsNIQ2EdjmY7qgB5woSMjIx36NHV5+jRozz22GMEB597JookSTzzzDO0tFx80QK+xsxLRrDina3sP3B20A22yMjIdM3Hn+zipX+tB2Dp0incdOMsRo5MwG63s2HDhnbrzp49ik8/28Oe3ZlIknRRDeJkZ4tBrRHD/UOc4J7FVl7hX1bcbhFITztqfRG3E0h1tcUv/05aRSDeFTwNGxpHcHAA9fXNZJ8tY/SoJAC2bz9FQWE1t906B63W/16MGxqaMZuFxWe8D8XBhMXFExYfj7msjMYSMaAoSRJ5a45hq7WResNoAgzen2XeWySnE3O525lCXFdsZmGlr4sKHDABCIA+OYTa/ZU0lzei1SYRO3wE5ZkZFB49wrgFCwHI33SCltIWEq8eSnCs74iEesN343dsJvGepwnTETLc4K2yZC4SDh7KAWDq1KEAHhFIjZ87gUiS5HF3i49rvTaMGB7vEYH4QhwMQGpqDHCawsIqb5fSZ7gFBiku9xVvEB0tRCAVgyxmp69wR8EMTY9l9Ogk0tNjyc2t8AjDevoOp1ariIoKpbLSTHm5SRaByMjIyMj4Nc0uFxBdVCBKbc/HegLi9ahDNNjrbDTkW+T3uB7SVNYIEmhCtaiDe+5urIsMQBsVgLW6mfpsM2HjvTspS0ZG5uKlx2+7TzzxBDExMT1a9/nnnz/vgmT6jtGjkwgJCaSurokzZ4oZPz7V2yXJyMj0Mx98uJN//99GAO68Yz4P3L+g2wHryZOGEBiopbqmjqysUkaOvHgcnLKyxSDiiBH+YYPott+u8LM4GHdu98iRfiwCcQ042WwOzOZGnxmU6QkOh9MTVeJtEYhKpWTSxDS+3ZXBkSN5jB6VxKef7eaFF4Vr0Z49GTz9tx/6VfsClJaK9g0L0xOk13m5GpAcTkzHawgbH0nqpMkcLyujobgIgIzPdxFgjkSLji//+hKXP3EfoT18vvcV6qqrcdhsKFQqj9uG1egSJRi0A1qLJlSLJkyLzWylqaSB1MmT24lAsjftR10WglahZutzbzDn57cTkZQ0oDVeKLbmZhpqhZDMI7pxtbd2gNtb5uLD4XBy6FAuANOmDQNa78n+LgIxmRpoahICNrfQF2B4m4iL8HDfuB+mpYlrrdtFbzDgjoJJHxrrtRpiY4TTXKUsAukUtwgkPT0WhULBtddM80x0gPZ/K+ciLtYgRCAVJsaNS+nzWmVkZGRkZAaKJnc0SULvoq0VCgUhIwwYD1VRl2mSRSA9xB0FE9DL9gbhBlJTXU5dlonQcRF+N6FMRkZmcNAj36e8vDyie2FpfPr0aVJTZcGBt1GrVcyYLjrL9u7L8nI1MjIy/YkkSby3crtHAHL3XZefUwACoNWqme7qVN+1O6Pf6/QVHA6np/O3Nx2I3iTOJQIprzB5tY7eUGus93RsD/cTx5XO0GjUHmFCVZV/2c9XVpo9bmAxrlgbbzJp0hAAjhzJ4+NPdnkEIBqNimPHC7j3/lfJL6j0Zom9xi2ySfARF5Dq3eWYjlZTvqmQ1AkiDrChqJAz67egqWmd/eqot7PigXspy/Sva787miQsNhalWujZ3c4UWsPAi3D0ycJNxXi0mpRxIkKz4MgRMr/5FmdBq95eYVfxzgP3Unj0yIDXeCG4o3d0wcEEhIjBd6vZLbrxvuhJZnCTnV1GXV0Ter2O0aOEUDnS7c7l5yKQMpeoNyoqtJ0TRdvnJV8RRbrjUvzt/twdOR6XiTiv1RAji0C6pa0IBGDxosloNGLGc0xMWK/+PjyOin4mppeRkZG5WPnsf3t46vcfsntPZr8fa+fW9/jPCz+ipbmx34+1btXf+e/rD5339pIktREldH8f/OCtx1j14Z/bLQseZgAFtFQ1YTU2e5ZXny1g7yufYi6t6HVNdruVN1+6h282vd7rbXuL2VTJa8/9gIP71/b7sQryj/PqP76POb8G6F0UjJvg9FAUagU2i5XmitbzK3PbTg6+tJ7jazf1Wb0yMjIyXdEjEUhqamqvlGrJycmoVHL0iC8wc+YIAPbslUUgMjKDFbvdwXPPr+bV174E4Mf3XMl9955bAOJm9uyRAOze3f8vV75CUXE1zc02AgI0JCdFebucHhHr6rysq2uiodE/ItfcLiApyVE+4ZBwIURHi8Hz6mr/EoGUlIgX1oSEcFQq72e+TpmcDghxqns25513zOedtx8iIT6c0tJaHnjgNY/9vz9QWipcEhLifSPqI2SEAaVWSUtVE2GN6eiDIrFVG6FAh0qtwSk5AIhOHEZ9dTXvPfQzMnfu8HLVPccTTRLfOlBqNXlPlBAyKhxVoAqbqYWA8mhCDQmYSktpONKAVhvoae+YxGE0WSy8/4ufc2LTxgGv83xpbe94z3NFqxOIf1/XZXyfw0eEC8iUyUM80aZuJ5DGxhaPk4Y/Uu4SEMbHG9otHzY0zvO35jMikBQhAjEaG7BY+n+AZCDIdYnBhw71ARGInwmMBwKHw0luXnuhTliYnssuGwOI2KTe4BaBVPiRmF5GRkbmYmbfvmy+2XLC05/Rn+xZ93/U5Z1g57b3+vU4NmszZ7Z9RNWp3WRl7jm/fZhacDQ5UKgUBEQHdrleQd4xyo5tJXfPFzQ113uWq/Vq9MniWbou0wRAU0k9xu1GYgPHkbfpWK9r2rX9A8w5Rzn01Vu93ra3fLnmBRoKz7B9zUv9fqyN/3sWZ1kFiibRjxZwHiIQpUZFULp43nO3d3NlI8qcYCJD01GV+cazvoyMzOCm16MBaWlp/PnPf6awsLA/6pHpYy6ZMRyAjIwSao3151hbRkbG36ivb+bxX/6Xz7/Yj0Kh4KEHl/Dje67s1T5mzRIikDMZJdTW+vesyp6SlSVmNg8dGucTA+M9IUivIyREvOT5SySMWwQyYoT/uoC4ceeHV/mZCKS4RAgUEhN9I390+PB4goJ0OBxOoNW1aMiQWN74z0+ZMD6VuvpmfvfUB9jtDi9X2zPKykQbx/uICCQgVk/81WmogtQ4G5wsvu53XDr/J4SExmJzNBI5QwycpE+eRfqMS7A1N7P6z3+kud4/nhPdTiCGePE9nHYn9jobANrwgRclaEK0xF+dhiZUi6PRwaJrf8vc+T8hPDIFu6OZqJmizoRh4xh9+RU47XbWPvM3LJX+MaO+tb3FdVySJKwmMfCu8UJ7y1xc3HrLHN5+80HuvvsKzzK9XkdAgMjj9udImFKPCKS9i1RgoJa7fjSfRYsmkZLsG0JlvV7niS4pKPD/SBi73UG+63sM86YIJFp2AumK0tJarFY7Wq26ndPafT9ewIwZw/n+9y/t1f48jop+8g4lIyMjc7Fz9qzosxs2rH+dexsbzSht4t2mquxsvx4rO2ufZyCuKP/kee2jqVSIcQPi9Ci66cvMPL0TAAVQXHCq3WchIw0A1OeYMR6upPyrItRK8V6nc4TSWwpzhdOl0m7HZm0+x9oXRmWJmOTsaOz/d4D66hKiQ8YCoI0KQKU7vwnvoSMMADQW1GE8Wk3ZhgLUygAs5nLs0Q19Va6MjIxMl/R65Ouxxx5j9erVpKens2DBAj766CNaWvxjRvLFSFRUqCfq4MCB/n2YkZGRGVhKS2t54CevsX9/NgEBGp7+2w+4vZcdYgDRUaGMHJGAJEl8u8u/YgHOl+xslzjBzyJK/C0SJjNTtPPIkf7Vzp0RHeWvTiBuEYhvRJWoVErmzB4FwD13X9HOtSg8PJiXXrwHrVaNxdJERYV/DIr4WhwMCIeGhKvT0Bh0BASEEp80DklykrJstGfGkLPRya3P/oOgiAhszc3UFvmHwNsdT2JIENEQNrPotFPqVCgDvONEKIQgqeiiAtBoAklKnYwkSSQsGkpggoiLsdfbuf4PfyIyNRXJ4aAqL9crtfYWjwgkQVzHHQ12JLsTFOJ7y8j0JyqVklGjEhk9KsmzTKFQEBnpjoTxr3tyW8rcIhCXQ0Fb7rt3AX946haUSt8RKqemxQB4xBP+TEFhFXa7A71e53GI8AbJLpFPfn7loHFY6SvcUTBD0mLaCfZTUqJ48Z93M9kVL9hT4uKEUNdf3qFkZGRkLmYslkYqXALJ/hZrnjm1A7eHsrmmtF+PlZO5z/P/morzexdsckfBnMOVoiT/hOf/pcVn2n0WmBAkJoxYnZiOCaeV/Ny9SJKTAHUY9kZbr2qqLRPfRQGUFPdvn3KTUTwfKO02HHZ7vx3H6XTibKwjJmQccH5RMG60UQFoI3RIDgnTkSqQoLj4KJvW/D+iR6X0VckyMjIyXdLrXoXly5dz6NAhDh06xJgxY3j44YeJj4/noYce4vDhw/1Ro8wFMvMSORJGRmawYbc7ePyX75KXX0l0dCivvvIAl1065rz3d+WVEwD47LM9SJLUV2X6LFnZYhDR3xwqYj151kbvFtJDMl1OICP9rJ07IypKDDhV+Zlld0mpeKlP9CGBwq9/dQMfvP8I9/74qg6f6XQaEhJER707ZsXX8cTBJPiGE4gbdZCG+KWpaKLFrB7D9BgCYvSoXQP39gYbCoWKiKRkoDX2w9dpG08CwhIXQGPQ9iq+sq9RBaiJW5xKYKIegPDJ0QQlh6IOFo4Fks2JZJWITBYdPcbSEq/V2hu+G7/jid4J06JQea+9ZS5u3JEwNdX+6wTifpbzJQFhd6SmtAoW/J2cHDGAkJ4e69X7RmJiBMOHxeNwONm67dS5N7iIyMnt27ie2FjhuuIv71AyMjIyFzM5rsi2uDiDxw23v8jPPuj5f5Olf4Wu5UWt93pTTe/fBSWnRHO5EI0Gxuu7XddUWeD5f1V5+6hdhVJByAjRd6FQK9COUrF72xvUVucD0FTcO3eKFnO15//Fhf33PGO3W6FZfH8FUFraf5HmRYUnUUmSxwlEF3f+56FCoSBkpKuvSAlB44LZ8dXLOBxWotOH9kW5MjIyMt1y3lNLJk6cyEsvvURJSQl/+MMfePPNN5k+fToTJ07k7bffvigGEf2FmZeISJj9+7NwOp1erkZGRqYv+N+qveTnV2EwBPHmf356wYPsy66dTmCglrM55Rw8mHPuDfwYSZI8TiDDe5kn7W1a86x93yHBZGrwDI77m9imM6Jdlt3Vfjbg5HYCSfKROBiAgAAtaakxXX7uHhAr8QMRiCRJlJWZAEiI972BPJVORczCJE4bcgkZZRDLAlUo1AqQwF5v9Tg8GP1FBFLWuShBa/B+NIlSoyR2QQrJtwwjfHK0WKZWogpSA2Cra21vvxHduJ1XOohuvN/eMhcvrU4g/nVPbktpN04gvkjaIHICyXULDNJjvVxJqxB/89fHvFyJb+F2Akkf0je/I7cTSENDC3V1TX2yTxkZGRmZ/iH7rLhP93cUDEBlceuEWVtj/8ajWqqKPf9vbCOc6Ckt1U1INidKnQptZEC369rqWvtSTNUdBSeGCZFEzYkncdkQjHV5AJQWi4iappKet0NTowWlrTUh4LuCk77kbNb+dgOZJUWn++1YWWd2EayLQ6+NxOG0YqbigvYXMtJA1Nx4Eq8dQp1T/D4ikpPR6OR3ahkZmf7nvEUgNpuNTz75hGXLlvHYY48xbdo03nzzTW655RaefPJJfvCDH/RlnTIXwPjxqej1OkymRjIy/aPDWUZGpmuMxnreevsbAB64f6FncPpCCA0N5OqrpwLw4UffXvD+fJnqagsmUyMqldInOn97Q1yMAfCPWWzHjouZB2lp0YSGdj9LwR/wOIH4URyMJEmUFLucQHwkDqYnJMT7jxNIbW09LS02lEqFZ5apr6FQKLAr7e1+dsd42Cy2NqIE33emsLe0UFctOszcdfuaKEGhUKAO0rRb1r69RYyNP4hAJEnqEAfjS6IbmYuXKFdEW42fikCEgFA8y8XF+5aLVFekpQphW8EgcALJzRPfoa9cJi6EBVcJEciRI3l+FznYn+TmuUQgQ/vmXS0wUEtYmHgfKS839ck+ZWRkZGT6h7NnhQh9+LD+v0831La+kylszf06edbR0DqZy9rQ+4ldTaXCBSMgXt+tk5nZVImqTVRKg7njs5twAzGgCdNRcfYsAKXFJ1zHaUBy9mxyd+aZ3bStxFhV1KPtzoeczL3tfq4oze63Y5Xmn/C4gNQ0ZFPiEsicLwqFgpDhBrQRAVScFXXHDh12wXXKyMjI9IRei0AOHz7M8uXLiY+PZ/ny5YwdO5aTJ0/y7bffcvfdd/Pkk0+yZs0aPv/88/6oV+Y8UKtVTJ8m7KX27ZMjYWRk/J033/qa+vpmhg+P5xqXcKMvuPXmOSiVCvbuy/LMvhqMZGWJF8qUlCh0Os051vYt/MkJ5NixfAAmTkjzah19RXS0GHDypw56o6mBxiYrCoWCeD8ZZIJWJxD3AJkv4xaqREeHodGovVxNz3FHwtjqrB5HDbfjgy9jrigHSUITGIjeYADAarICvi1KUIe6InjqrB5HDbe4wpdpMpuxNorORkOc2wlEtLeviG5kLk7cTiD+KgIxGuuxWu1CQBjjmwLC75LqcgIpKzfR0tK7rHhfo9Z13sT4QNvHx4czblwKkiTxzZYT3i7HJ7Ba7RQVCRFzXwr242INAJRXmPpsnzIyMjIyXeNwOM9LVHH2PJxAbNbeCzicTidSU6vrhVKC2tpzv6PZrM29Og5ARXkOqrb19XAfbY9lrRX/D4jpfJKVJEk4HQ7OnN7Zbrm1vvv+w0qXKKG2Oo/m5jqcVictVT1zzcrL3t/u53pTz/qSz6cNywrbO38YqwrPuY3T6TyvYxkr8jEEpgFQ25BFRWnH8TRJknC2EdvY7VYcbX7uikqX6CZm2PBe1yUjIyNzPvRaBDJ9+nSys7N59dVXKS4u5rnnnmPUqFHt1hkzZgy33XZbnxUpc+HMnDkSgJ3fnvFyJTIyMj3l8OFcrr3uaf7+jy8wm8UgzNmzZaxecwCAR35+DSrVeRs6dSAxMYLLLhsDwEcfD143kCxXFIw/RpTE+lHn5fHj+QBMnJjm1Tr6imjXrGOjsQG73eHlanqGOwomJjrUrwRP/hQH47bzT/AjkQ2AJlScD/Y6K+F+FE/SNppEoVDgtDux17lFCVpvltYtmhDR3rY6K+FtnEB8PT7TLVQJjoxCrdMhSVIbJxDfbW+ZwU+UOw7GzyLa3JSWintHdFSo3wgIww1BhIYGIkkShYW9tzD3JUyu9ypDWJCXKxFc5YqE+frr416uxDcoKKjC4XASEhzgcf3pC9xien9wVJSRkZHxdyRJ4ic/e50bvvd3du3O6PF2drvD4wY1vIciEIulmhd+dSnPPTGbQwfW9vhYhfnHUUoSEuBwOWsUFXR/L87NOcyLT8zhuV/PIyf7QI+PlXFKCDMcStGHq5IkzKbu3dX27PyIFx+fzYt/WEJleR42s+u9N6zz97BPfvUEL113Lae+3NDuWJK1e0FHRY4QJUiSRHnJKQAai3sWCVNRnNnuWD1xOHn75ft48fHZvPvag70SaFhcog/3sep6IDh5+S/X8cITc/j8oz/3SiRktdQQrBNONHXNpdR2IjhZ+7e/8M9rl3Jk7RocDgcv/PYKnn9iFls3v9Xtvt3OK7HDZCcQGRmZgaHXo4e5ubls2rSJm2++GY2m8wGFoKAgVqxYccHFyfQdl146GpVKSUZGCUVF/t1pIyNzsbBz1xlqaur4YvV+brv9n6xZe4AX/7Uep1PiisvHMXnSkD4/5vdvuxSAL7866rezK89FdrYYRBwx3P9EIO7Oy+pqi08LEZqarGRmicHDwSICCQvTo1arkCTJb/42Skr8LwoGINElAvGHOBh3jW7hir+g7iQOxlxZ0aOZK97ELVTxRMFYrCCBUqtEFei7A6katxOIxUaYywmkpaGBJotvOwt5RDeu9nY02pFsTlCAJlR2ApHxHpGuiLbqGt/+G+qKsnL/ioIBYWOd6oqEyS/w70gYs7kBgDCDb8QVXnnFeJRKBadOF/nFs09/k5MrZoCnD43r1u6+t8TFib83OQ5GRkZGpv+pra3n1KkiqqosPPHL//KP576gqcl6zu2KiqqxWu3oA7UkJPTsOenUsS2oHA5UNitb3/sD77zykx6JC7LO7ALAqQ1AESCeCSpKuo8YObp/HUpJQtFYx6qXH+B/H/yhR+KC4rxjAGgNMR7BSWFB9w5gpw5/iRJwGCt455lbaDEJEWtnIhB7Swtn9+6h0WyifMsZrPka9JFpAKicTurrTZ0eo762loZa17OHSqLUFXtSk9WzqNj6GrFecHw6AM7mxnNuU11wEiVQfXoPLz61sMdiGrvL0cR9rJa67kWdDrsda3UJKkkid/cXvPSnpVSW553zOPV1tSjtNo8IpL6lnLra8nbrSJJE5o7ttNTXs+Hvz7Dy0YdQ1DWicjg4vPb/ePXZWzttc3tLCzVFQlAiO4HIyMgMFL0WgaSmpvZHHTL9TER4MNOmikiYr7+RZ5jIyPgDFa4OqoAADWZzI888+zmHD+ei1ap58GdL+uWY48elMHZsMjabg/+t2nvuDfyQLJcIZPjwnltL+grh4UFoNCqcTomqKt8d+Dh1qhCHw0lMTJjHetnfUSqVRLkGnXy57dvidgJJTIz0ciW9wx1dY7E0UVfXMxtSb+Gezd3TDipfQdMmniQ4IhK1VovkcGCp9O0oMI8IxBVhY3O5UmgMuj4dKOpr2sbvaHQ6gqOiADCV9qxzzVu463NH2LhdQDShWhQq321vmcGPv8fBlJWZAP9zkUpLFZEwBQVVXq7k/LHZ7DQ0iGuZrziBREaGMHmyEPfLfTV4YknTh/RdFAy0dQIx9el+ZWRkZGQ6UuiagKrVCqH+51/s50d3v8yZjOJut8s+2yoEVCp7NmxVVixiQpyAAqjJ2M+Lv1tAbs7hbrcrdYkwAgzRaINERFxNZX6329RU5HqOpQTy967lxT8spvoc0SQ1ZTkAhMemgTYAgPKSzG63cQsPnECwyoASFU7Jjk3RsY/EWFoCkoRSpRLbGFU07jZirxdtWFR4stNjuKNgCJBQaFudQNTNAbz/ymPdClycTifORvEsPmbKYgCUTgdNzV27iDjsdhTWFs/3UjbVs+rlB/j8oz93uQ1AdVUhKqeYCDdq8kKx/TkEJyUlGSgByfXPaazknWduZtvmt7vd7sypHaiVOgK1YqJPfUs5zfXtRboNtbUiNlWhQKXRUHz4GC0ZOuxm0d6NJdm88vtFHD20qd12Vfl5SA4HgWFhhLj6BGRkZGT6mx7dTSMiIqiu7rl7REpKCgUFBeddlEz/sGDBRAC+2nzM5+2nZWRkWjuonvrdzTy8fCl6vZh1+4PbL/UMkvYH379tLgCrPt/r9zP9vkt9fbNnht0IPxSBKJVKv4iEOXosH4CJE1J9emC2t7gtqf1l5nGrCMS/XCr0eh3h4WJgxh234quUlYk27s9rcn+g9sST2ACFR1Th65Ew7ngSjyjB6I4m8W1XCnccjLPZgdPqaBcJ48u0xu90FN3IyHiTqEhxP7ZYmrBafdvBqDP89d7hdgLxZxGIO2JTqVQQHBzg5WpaWXCV6KvZLEfCeGIA0tP7WATieoeq8OF3KBkZGZnBgjs6bsrkdP714j3ExIRRXFzD40+8S0uLrcvtzp51TdoaFtfjY1W73B2Ck0YyYt5tOBUKlM0N/O/15d2KGIwVYuwqMn4oQWFC6Gqp6f79rN4ohBmJk64gbsI8nIBkrub9Vx/sdrtms3h2Skgb7xGcVFd070phczlJTFx0D9Epl4jjt1Tw0TtPdFi3plCIUGKHD0c9ogWFzomtvgl7jhbJDqVFZzo9hjuaRBngRKGWaG62UFsv9qWttLPu8793WV9x0WlUrjidS+bc5BHhFBec6nqb4tMeYcaNy19H0oegBHJ3f8HBfau73O7MqR0AOFRqRo4RfdZKh71bx5eC3CMAONUaFt79DA6NDpXTyYG1/6a0GwFOwdlDHhcQh9KGzdGIo6mh3Tq1LjcPQ3w8d//nLbQRQWBXYM/TMn7+PTiUSlR2G1+99zta2ohVPFEwQ4cNqr5SGRkZ36ZHIhCTycTGjRtZs2ZNj/7V1NTgcPiuTf3FyrzLxqDVqikoqCLb9VAlIyPju5RXiMHPxMQIbrt1Lh9/+Cj/+Pud/PieK/v1uPMuG0tiYgQWSxO3/+BFfv7I2+z89gwOR8/zE32V7GzxQhcbayA01DcsoHtLbKx4YfTlWWzHjucDgycKxk20SwTiN04gpa44GD+LKgFIiPePSJgSlxOIv7WxOkgj3gKcEo5Guyfuw+jjzhRGTxyMEFHYTK5cZB8XJSi1KpQBYlaWrc7Wpr19XATynfgdq6u9fV10IzP4CQ0NRKMRf1M1tf7nBuJ+hvM3t7S0NDFAkj8IRCChoYGoVL02xu035s8bi1qtIien3OOEcbGSkyO+/9Ch/eME4o5jkpGRkZHpP9xR9MnJkUybNoz33n2YmJgwjMYGtm/vWiRw1uUEMmxYzydtNbiEGRGxqVz7vV/yvYffEC4TzU0cObS+y+1sdaK/JCV9MoYo8X7Z5FrW5TYuYUZC8hh+cO8LzL35l2J5dQllLreP79LUXI/S5X4xYvQc9GHCAcJc2/W7oN1uRWET2wwbOYtFCx8FoL65nOqzh2n5jvjBLUrQhOlRB0moR1qJTE0DJziMKo+DyXdxO4EoA53gSlfVhokJDLGhE8ncv6HLGj1xOhodgfpQJI1wvywt7lxwApDvcmdxarQMHT6dR/6yGVWEEFzs+XpFl9sV5QhBhyY0gri4YR7BSUlxRpfblBUJhxh1UBgTJi9k+f/7EmeAHiWwee2/utyusiSTYJ04/1TB4n1Dabe1i851i24iklOIHTaM4DnRKIKcIEGAKYB7fveFEII4nXyz6bXWfbvaO2bYsC6PLyMjI9PX9Pit90c/+hHXX399j/41Nfm2dffFSlBQALNnjwRg82Z5homMjC/T1GTF5Mp7jIsVswQjI0OYM3tUjy0RzxeVSsk//n4nl146GqVSwYGDZ/nVr9/jvgde7Vax7w+4o2BGjPA/FxA37vOh3Ec7MO12B6dOFQGDTwTijoOprvaPAafiYtGBkZTkX3Ew0BqvUlbqm+c5iHO9qkrk0vrbbG6FUoE6uDWixD3Iby71bZGw2eNMIa7hbmcKbbjvixI0Ia0RPO72djub+CqtzisuJxCj7AQi4xsoFAoiIlyRMH5yT26L283NPSjtL6SmCCeQoqJqvxWHu0UgYT4SBeMmNFTPJTNENvzFHAnT0NDscero6ziYpOQolEoFRmODT4vpZWRkZAYD7jiYFNezQ0hIINctmw7A56v3d7md2wmkMxGI1dzS6Ta2BvFOHpc0CoD0oVPQRScBsGdz58ICi7kKlWtQf9TYy4iOGwqAvanrKBMhzBCi+LShUwCYdeltOAOCUACb177Y6XbZZ3ajABwKBckp4zBEugQn5q5d94sLhWOGE0hJG4/NIvpi66wVqJxOtm56vd36NUWiD86mFm2kCNIz7XvfA8BRrcJY3XkMT0WOcKZQBEqgFX3NlkYxMSQ2ZDyqpkZOHPum021L8sXzis4lalHrXfHJ5Z2LYQDKi4UDhyZITLBSq7XMXfIAAM0VhVR3UWeNa59h0Smo1GoktRCqFBd2LSiqrRRCjeBw8TwRqA9l5IyrxffO3I/dbu10u4baco8TiD4qFAkhOCktbXUPqXW1d2RKCgBNlkrU0eJ8OrJ2DRGGOKKGiXPk9L41nu08TiDDhndZt4yMjExf06ORRKfT2et/6enp/V27zHmw0BUJ8/XXx7q1RJORkfEuFZUmQMQihIQMvFVxWmoMzz59B59+/Dg/uP0y9HodGRklbNlyYsBr6Uuy3SKQ4QleruT8cQ8YVFSYvVtIF2RlldLcbCMkJJAhrhmjg4XoaOHC4g9OIA2NLRiNwrIyMdEfRSDCWaPEh51AyitMOJ0SWq2ayMgQb5fTa9wRJTaL1TPIb/RhUUJTnYXmejHYa4iLR3I4sdW5nUC03iytR6hDO7a3L8fBOB0OzOViVp0hIR5JkrCZ3fE7vt/eMoOfKNd1t6amVQSybftJXvrXep8WLUuS1OoEEudfAsK4OANarRqr1U6Zj8e1dYXJLJ6NDGG+5wg4b95YAI65YhUvRtwCqbAwfZ+7NgbpdYweLQYFDx7qeoBKRkZGRubCKSwUrmEpyVGeZddcMw2VSsmxY/mdul4ZjfVU19ShUCgY2iYSzGl3Uro+n5LPcz3vf25s1maUbmFG+mTP8hlX/giApvJ8jJ04bmSc2gmAQ6kkOiaVxJQxAChs1i7HSwrzT3iEGUmu9QGGTV0IQPmZfe3cItzkZgvRi1IfglKpJDJWjJnZGrsWMrsdMySNFrVai80i3sOcocKZ4tTe9tEptS5nikaHCYDA8FjGL1yMQq1EalZSX1De4Rh2q5WaAhGJowx0ogoSfc+1tQUotUq06mAigoax8zuCEzfGinwAIuLF9wkMEf1Opi6EHADGSnG8oPBWkc+U6dfi0AWgBL5a82Kn2zWZRFR5Ytp4AFSBwQBUduG+AtBgEudYZNwQz7IFSx/EoVCgcjjY3onziMNuh+Z6ggOECEQXHohTJSxS2sbc1BS7nUCSAbA31qEMc6IJCqS+uprs3bu46tqHhYCkwULG6W+RJIlKlwhEdgKRkZEZSHzH/1JmQJg1cyRBQToqKs2cOFHo7XJkZGS6oLVz2ODVnMD4+HAe/Nli7vjhPABWrzngtVr6ArcIZPhw/3UCiXVZh5f7aJ71UVfH9cQJqf3uWjPQtDqB+L4I5ORJcY+PiQnzqcz7nuKOV/HlOBh3bQkJ4X6Z56oJdTtTtMaTmHw4DsbkcikJCg9Hq9djM1tBAqVWiSpQ7eXqzo3bCcRWZyM8wfdFIHVVlTgdDpRqNSFR0Tga7TitTlCAJkwWgch4H7f4rtolAmlpsfH006v4+JNdrFnru8+rJlODR6QSExPm5Wp6h0ql9LiBFPhpJIyvOoFAq9C71tj1LOTBjsnkEukY+uf3M22qmOl98ODZftm/jIyMjIxwzCwpEe/KyW1EINFRoVw6dzQAX6zp6AbijoJJTIxAr291HlSqlSg1SpDAfLJ9/0BR0SkUuIQZyWM9y2fMvAGHVocS+HLNSx2OlZ9zCABVsEEcM3kMEmKgrKIir9PvVZB3FABJo0Otbn0fWnD1cpewwM6Ore922K6iSESWBEeId8CEZNEGCltLl4KT8hKXY4arPptZCF1GX3I5EkC9iezMfZ713c4UzTbRPtEJw9EFBRE1Tgg0WgoaOhyjuiAfp8OBQqMEDQQYxHNpg9GIPkU8Z6dHL6Ch5CwWc8fnPqvLySQ5TUw4Do0Q/awNnazrxiPMiE3zLFMqlaRPFLHnxSd3dmiTFmszihYRfzN81GwAAkJEf5GpuqjLYzkaRb9dfFKrYCdQH4ohVfx8bNf/OmxTkH8MpYQnDkYTqkUZKJ5JKstbnx3copvI5BRamhtR2m0olDDqyssBOLz6C1JSx6EyiPN/+8bXqKuspLm+DqVKRVRqGjIyMjIDxeAanZE5JzqdhnmXiYeizV8f83I1MjIyXdFWBOILXL10CiqVkuMnCvw2p9pqtZObJ2ofDE4gxUVdW0d6k2PH84HBFwUDEB0tLCur/EAEsn+/yBqdPs0/Zxgk+IUIRMyCjo+P8HIl54c6pDUOJjxBWNL6sijB7HIpCXO5aFhNrdEk/iDCcbe33dImfqeyotPZYr6AyRW9ExYXh1Kl8kTvaEK1KFTyK6SM94n8jhPIrt0Z1NWLDuKPP9nts3ElbhFvVGQIWq3vC9i+S2qqEIHkF1R6uZLzwy0yCDP4nhNIRLiY1Vpbe/GKQMyuONT+cmpxPxcfPJSDJEn9cgwZGRmZi53ychMOhxOdTkNMTGi7z66/fgYAGzcepqmpvatHticKJq7DPsPGCZeJ+mwTjubW96eifDG2IWl1qNStz1VKpZLU8fMBKDyxvYOwoKokS+w3Wjg5BAYE41QJl42SwpOdfy+PMKO9iDc42EBosoiiObrz4w7b1dWIiRYxrria5JRxokZJorYTlxIAY5soE8kpYa8XAuLkUWNQhor+h60b/g+AJouFRrMJAIdT9FWlpIsoktELrwJAqpVoMLZ3cXO7Uij0oFBAWJx4R200GQkdK46RZJhJsDaar9b9q9229fUmlHZR08ixlwIQGZMGgLW+a9dih8v9xC2EcbPw2odxAiq7jd07Pmz32dmMPcKBRQGpLsFJSIQ4R+pNnfdPNzXXo3S9Z6cNndzus/lX/wwAp7magrz2Y2PZGbvF/gNaRSABwcK5z1glfidOux1jifidRiQnk5d72CNEmvP9H4FCQe7+fRhLipk49xYAzIVnKDwljhWVmoZaK0+qkJGRGTjkHryLkAWuSJgtW09gtzu8XI2MjExnuEUgsTEGr9bhJioqlLlzxAuLL8+u7I7s7DIcDidhYXpiY/1r5mVbRo1MRKNRUVpmJCeno6WjN3E6nRw/LuwdJ0xI824x/UBUlOjA8AcnkP0HxAv9jBn+KQKJTxAv2mWuDiRfxG2FnxDvX3b+bjSueBK7xYohXnRyNFksNNd1bUvrTdyiBHetNpM7CkbX5Ta+hLu9bXVWgiMiUWu1SA4HlkrfFFa6BUHu9ra62zvMP9pbZvDjdudyi0A2bTri+ay0tJZvvz3jlbrOhecZ30eE3r3FIwLJ928nEIMPOoFERAgRSF1dEzabbwoE+xtPXE8/OYGMG5eCTqehtrbeMzlARkZGRqZvKXBFwSQnRXZwh502dSiJiRE0NLTw9TfH233mdgIZPqyjc29AvB5tZACSQ8JyplXMUOESc2iDDB22Wbjs50JYYLOyb9cn7T5rNIpjxSW3ukQodUKAWO7a53cxVYi+rpCIjvXNW/pTABymagoLWkUkTqcTZ4PoPxoyYhogRCMOV7sUF3QuOGk0ux0zhmKvEw6YCrUCVaCa8XO+J+rJP0VTo4XaIiFOCIqMQI0Y5xk17jIAJl62BIXeCZKC/avaC1QqzoqJQ+jEM0dcmujzbTAa0UUEEJgQhEKhZFj0EnKPftNOSJNxeicKRJxOfMJwsX3iSAAka1On36mpuR6lwyXMGDa93WehYdEEJbqEmts/aPdZTrbL8SQw2CP0iYxOBcDa0LngJD/3qBBmKCAufni7z0aMnAXBYSiAr9e2F7eU5J9AqwpGqxLPIepQLSHhQnBS5xKcmMrLcTocqHU6QqNjKMoX57GkCyQyKZn0GZcAcGTNai674k4cKjUqSWLPRvG95CgYGRmZgUYWgVyETJ2STnh4ECZTIzt2nPZ2OTIyHupds/dkWmcJ+ooTCMB1y1yK/U1HfDprvStOnhIvRuPGpvjFrPGuCA4OYNZM8XK1+evj51h7YCkoqMJsbkSn0zBqpP+6rXSFWwTS0NBCY2OLl6vpmupqCzk55SgUCr91AomJDkOlUmK3O6iq8k3RTWscjL87gdjQBAYSFC7ELKYy33QDMbqiatwuGm4nEK2/iEBc7e1osIMEhnjfjoQxus4Dg8slxu0Eog2XZy3J+AZthZm1xnr27BUd9vPnC9fLjz7+1mu1dYevuf31ljR/dwLxxMH4nhNIaGggKpfTktHY0bb9YsDj1NJPIh2tVu1xKzx4MKdfjiEjIyNzsVPkcq1tGwXjRqlUcv11om/x8y/2tfvsrMcJpKPIQqFQeNxALGeMOO1CkGByuTMEdyLMCA+PQx8v4lD2b33fs9xht0OTuN8MHTXLs1zril6prS7s9Hs1umJOImOHdPhs9Ji5SEGhHYQFpSWZqCQJCRg1em7r99EFAq3uIt/F45iRMhqbxSXGD9WiUCi4fMGPcahUqCSJzRv+jxpXFIwmVOzToVIT7hIuhIZFo4wSwpCj69YitRFyuJ1AlAHi8/QxQpjRaDIhSRJh40V7p0XOI9Cu5vCBtZ5tC86KyYGqoFanl5S08WKZ00l9vanDd8o/63LMUCiI7aQNL110HwD2mjLKylrv0eWFQtgdHN76O451CU6czY0dGw8oynM7xAR2GlM95pJlANTkHqPF2joWYa4qJFgX5/puapRqJeExKQC01AnxkVt0E5GUjEKppLJUiGl0IaI/Zcp11wNwbP16cELcKHG+V2eL9WKHtRelyMjIyPQ3sgjkIkStVnHllRMA+N3vP+SXv36PjAzfzYCXuTj49LPdLFz8Zz7+ZJe3S/EJKnxQBDJ9+jDi4gzU1TWxdVvnanVf5uRJlwhkXIqXK7lwrrpKXMO//ua4T1kZH3O5gIwdk4RG438W5+ciSK/zZNNWV/eNW8LefVl9fg8+4OrUHjE8vt9mUvY3KpWSeJfDhq9EwjidTk6cKGDV53v5x3OrOXhItLO/OoGog4UzhWRz4mxxeMQVviJKkCSJ0jOnObJmNV++8E+ydu4EWsUTnngSg3+IEpQBKhRq8eplq7N52tstbvE2kiRRnp3F0fXr2Pyvlzj51ZdAWyeQ1vgdGRlfwB0HU11Tx9dfH8fhcDJ6dBK/eORa1GoVx44XcPp01znh3sLzjB/rn/eOtLQYQAh/fekZtKeYTf3rNHEhKJVKwl11XayRMG6RjqEf43qmTR0KwKFDsghERkZGpj/oTgQCsHTJFDQaFRkZJZzJKAbAZrOTXyBEFp3FwQAEpYWgDtbgbHHQmCP6Y5os4liRcR1FBQCzF94j9l9dQkW5uO7n5hwS8SLAsGHTPOsGG2IBqKst63RfjiZxzPiUsZ1+PnrGNQBUnz3sERZknhaiZKdGS6C+VTChDRLuxDWV+R3209hoRukQwowhQ6dgM7eKQADUai2xI4RgI/PgRo8owaEVLhuakPbPmIpYDagkGquN5B0U4g1JkqjIcYlAAp04FQqShwoRh72lBVtTk3BfidChVgWQHnUVe75e4dlnZbEQX4dEJXmWGcLjcbom3LndMdpS6IruQRfQqTBj/KQFOAODUACb17zgWV5XLc6R6KQRnmXJKcLBRel00NTc8ZmpolTUpwvpfMLOFUt+ikOpROV0smXjq57lNkstwW2iYABiXE4izmbxDFlT6BKBJIsoIXdMTEiEeL8fPms2IdHRNJpNZO7YxoJlv0ACpHrxO5WdQGRkZAaaXotAVCoVlZUdZ33U1NSgcmWn9ZSnn36a6dOnExISQkxMDNdffz2Zma0KSJvNxq9+9SvGjx9PUFAQCQkJ3HnnnZR+p3N6/vz5KBSKdv9uu+22dusYjUbuuOMOwsLCCAsL44477sBkMvWq3sHE/fcuYMFVE1AoFHz77Rnuuff/+OWv/uuxR5WRGUiMxnpe/89mAF597UuKS2q8XJH3aZ0l6DsdxCqVkmuvES9Iq9f4XyRMqwgk2cuVXDhzZo8iIEBDaWktZ3xIxHfseD6AZ4bdYCQ6Wry4V1UL28mzZ8v47e/eZ9fujF7tR5Ik3nhzM48+9g6P//LdPq3xgCcKxr9nGLgdNkrLjOdYc2D418sbeOCnr/Pc82v4/It9mM2NqFRKRvip641SrUQVJMRaNou11ZmirPNOr4Hm23ffYcX997LhH89ycNVn1NdUg0JBwujROK0Oz4wobbh/iBIUCkVrBE9da3ubS32jvQ99sYq37rmL9c/8jf2ffozZdR4kjhmL5JSw1rqdQPyjvWUGP24RSE1NnScKZsniyURHhbLQFX/60ce+Jy73dyeQpKRIlEoF9fXNfilUMPuwEwhAeLiIhDEa/a9t+4KBEOm4RSCHj+TJ8cgyMjIy/UBBoRBmpKZ0LgIJDw/m8vnjAPh/f/mUDz7Yye49WdjtDkKCA4iLNXS6nUKpIGys6COoO2MECZyN4n6ZlDqu020mT12KM0CPAvjvC3fx6Xu/4/DeL8SHAYFotAGtdbkEDc11HSeh1NebULmEGUPbCEfactWSn+FQCGHBv/98DWs+e5q8jN0A6MKi260bFCZEtZZOBCe5Zw+JqBWFguiYIa1OIGGtkx8WLPs5EqBsrGfflx8C0CIJkUpYTGq7/elCDagiRO0bn/8Hu/77LgVHDtNkNoNCgSJAAl0guqAg1DrxrtdgMgr3FZcbSHr0QqyVZbzy7C1s/+Yd6mtEP2Rc8mjPcZRKJZJGbF/aicOJ2zFDG9y1k+rwqYsAKD+9h/+8cCcH9n6OwxX5ktam3aNjhuAEFEBxwakO+zFXCeFIZ9E9ADptAJHp4n3hxLYPWPF/D7B/9ypUDrvHCcTd3sku0Y/S4cBmbabW5bwSmSImGDabxfkeHS/EHUq1mknXCqeRb175P7I3bkWhjkZqEQKZb/f+l9ycw122gYyMjExf02sRSFezPVpaWtBqezcTb/v27Tz44IPs3buXzZs3Y7fbWbhwIQ0N4sWvsbGRw4cP89RTT3H48GFWrVpFVlYWy5Yt67Cv++67j7KyMs+/119/vd3nt99+O0ePHmXTpk1s2rSJo0ePcscdd/Sq3sFEcHAAf/rjbby/8ucsWjQJpVLBt7sy2LL1hLdLk7kIeXvFFk+0gtVq5x/PrfbLmWV9hd3uoLpaxB/4WgfxNVdPRaVScuxYPvn5/mMDXVVlpqLSjFKpYPSopHNv4OMEBmq5dK542dr89TEvV9PKsWP5wOAWgURFuWYeV9dRVmbkkUdXsG3bKX716/dYt+5gj/YhSRIv/3sjK97ZCojZnlZr32S/S5LE/gPi5XrGDP+eYZCY4FtOIMdPCKeb8eNT+OEPLuMPv7+FTz56jHgfEuv1FndEid0HnSmKT4jZQ3EjRzHzttu59smn+On7HxE7bDjNVU0gCTcTtV7j5Up7jieCx9KmvX0kfqf4hHgHiE5PZ8bNt3LNr3/L/f99n9TJU7DWNiPZnSi1StkJRMZniHKJQGpr68nILEGlUnKVy+3y1lvmALB120mP6MJX8EQ+djHA4evodBqPU5c/RsKYzC6RQT/FjVwo4RFCBFJ7kYpATCa3SKf/fj/Dh8cTGhpIY2OLT4npZS4ODh3OYbscyy0zyDmXEwjA979/KYGBWvLzq/j3Kxv5zW9XAjB0WFy38c3Bww0odSoc9XaCmtSonG7HjKldbjPp8h8IwURTA4UHNlB8SDgeBhraO47EuAbxHU0dI9nycg6JzxQKIqM6n1imC9CTPOly8YOlluwdn2LOEf11Ed9xKjFEichNt5NJW4rzxXuZQieiTNwiEHVo67hbQuJIglzOGA6zcB2R7Cbx2XcEMfqwKFTRDhQaJabSUra98Trv/3y5a586FErhmKFQKDwRsY1GMREnKC0UVZCaAE0YQyIuo6nkLAdX/wulq43SR1zS7lgavau/rDy3w/cyuxw9wlzfvTMWXrMch0aLSpKoyzvJjg/+HyqnU8TpjLnUs54QnIj2KC3ueE1tdrVrTELXfWILr39UuIE4HNRmHmDnR38R3/k7TiBxccM8gpOiotOtcTDJQgTidghJauMQM/na6wiOjKKuqoqdK96m+UCd2INaoip7N5+/dC9/f2I2n7z3ZJf1ycjIyPQVPfZq/9e/RJ6ZQqHgzTffJDg42POZw+Fgx44djBo1qlcH37RpU7ufV6xYQUxMDIcOHeKyyy4jLCyMzZs3t1vn5ZdfZsaMGRQWFpKS0mrpr9friYvr3C7szJkzbNq0ib1793LJJeLm9MYbbzBr1iwyMzMZOXJkh21aWlpoaWnx/GyxiAFZm82GzWbr1ff0ZRITwvntr29ArVKyfsNhamosg+r7fRf3dxvM39HfKCys5osv9gPwxOPLeOmlDRw4cJaNGw+zYMEEL1fnHcrLTTgcTtRqFaEhuj47X/vi/DcY9MyaOYJvd2Xw+Rf7eOjBxX1SW39z9FgeAOnpsWg0ykFxDbh8/lg2f32cb745zk/uv6pTO8WBpLLSTHm5CZVSyciR8T7Xxn11/Y+MEC+12dmlrFixhdraeoKCdDQ0tPC3Z1ZRU1vH7d+f2+X2TqeTF15cz5q17QUjtUaLZ98XQk5OObW19QQEaBg1MsHnfg+9ISZGWKQWF1f7xPdwW/g/vHwpI4a3zijxhdq6o7tzX+lyAmk2NhESK+xvjSUlPvGdzBXlAFx2732kTW2d9WOz2WgsFYNj2pgAn6i1pyiDhGtii7m5TXsX+8R3MJeLWWgzf3AHoy+/wrPcZrPR4G7v6ADs9r4RrA0UA/Xs7wu/w4sNgyEIpVKB0ymE47Nnj/S4BwwfHs+0qUM5eCiHz/63h4ceXOLNUttRXi461X1N6N0b0lJjKCmpJT+/iqlThnq7nF7hcQLpx7iRCyHC5QTijy4rfUGrSKf/fj8qlZIpU9LZtu0UBw+eZfwgiAqV8Q9aWmw88cv/0txs4/XXfiKfezKDksbGFqqqxBhKShdOIAAjRyTw0YePsmPHabZtP8nRo/k4HE4mT+o81sWNUqMkdHQ4pqPVRDcJwYJDoSAquuu/pwVLfsqQYVPZs+19yrMPo3QN2icPby8cSUwWESMKuw2H3Y5K3TpsVuyKN1Ho9N32vX3/7n9wfNJXHPz2U6rzT6KyibGlUROuaLdedNxQCgB7U8f7fWWZmNTjjjJpjYNpL8a//9GV7N+zii1PvQRIKHQSTmDcpAXt1jNEJlKnO0nAjEAun7OczB3byTt4AKfdjiJMCG5CI4UwQx8ejrm8nAaXe75CqSBsXCS1+yoYN+T7lGnzaSjPQyU5cSiVDB81u92xAsOiaDBVYa7tKLJsslSjBKLiun521OvD+NkfN7Bzy7tkHduCtaYEpQRSQBDB34l2UetDkMw1VHUiOHE2N6ACErtwiAHh8HHP777g2y3vkHtiBw6zqC9UL0Q+bhGISq1GUmvAbqO06Aw1LhFIZHIyZlMlKqcTgPTh0z37DomK4v73VpK9axeZ27eRu38fdquV4JQYbMEWqDejammmtjyvy/pkZGRk+ooei0BeeEFkcUmSxGuvvdYu+kWr1ZKWlsZrr712QcWYzcLeKSKia1sos9mMQqHAYDC0W/7++++zcuVKYmNjWbJkCX/4wx8ICRGDKXv27CEsLMwjAAGYOXMmYWFh7N69u1MRyNNPP82f/vSnDsu/+uor9Hrf7DC4EKqrRcfv8eNn2LBh8EfCfFdcJOM9Vn2ehcPpZNgwA0pFBZdcEsfOb4v554ursVjyCQzs8WVq0FBUJF6YgoPUHcRyfcGFnv9xcaKzff2GAwxJc3Sr0vcVtmwVM/hDgp1s2LDBy9X0DXa7E51ORXV1HW+88QnJyaHn3qgfOX3aZYEYE8i2rd94tZbuuNDz32IRs14/+FBku4aEaPnhD0Zz+HAF+/aX8fp/NnPkyEnmz0vu8LchSRIbN+Vx4qTIul2yeAhbthbS0uJg/fqviIoMvKDaAPYfEPfzhHg9X3/91QXvz5uUl4tosNOn87r8uz2bY2TLlgIuvzyV4cP6z5HDZnNiNIrOohPHD3A22//uTZ2d+9FN4cQTTWFmARm1wta05Gx2l+3dUFREyZcbiZk9B8OYzrOQ+wJJkqgtEQ4ZRzIyOF3RfrZ5uiWJYPRklWdTu+FQv9XR10Q0h5FELGW5pWQ0i0zqqoKCLtu7qaKCovVriJw8lcjJU/q1tor8fABO5eSQ19Tc7rPUugTCCCavtoD9G472ax39RX8/+zc2Dv73J19DpVISER5MdY2wvl6yeHK7z2+7bS4HD+Wwes1+7rv3KnQ677sGNTa2YLE0AX4uAkmLZtfuDAr8zAmkpcVGU5MYSPFVJ5CIi9wJpFWk07+/n+nThrlEIDncfdcV595ARqYPyMoqpblZiEbfevsbXvzn3V6uSEam7ykqFu/wBoOe0NDux0+io0L53o0z+d6NMzGbG8nJKWfs2HPHN4eODsd0vJpQZzh6bTT1qnM/hw8bPoNhw2eIGgtPUVxwghmzbmq3TmLSKOEYApSVZZPUJuqkskxE7upCux6zcjNh8kImTF4IQNaZ3dTV1zB1+rXt1klIEvtW2Kw4nc52wpJWx4wknDYnjkYhwm8bBwNCnDBmxGVscbyIUqXiqvv+H7rAoHZ1A0TGplME2O0NTL52GZOvXUZzfT0V2Vl8/P7PwQrR8UKYoQ8zAK1OIAAhww0YD1ehsQVy733/RWVQceTgBiKjU9C1idMBCItIoKHgDI2mqg7tIjWJ31NS6vhu2y84JIIl1/2CJdf9gqbmeo4e2EDa0Mkd1gsMiaTRXIPJ1V5ujLWlrcKMoZ1H97iJikri+lt+B7eAxVzFiSObCStMAEd70Y0qMBjqjJQXZlJXJb5bRHIKGZk7AXAolYQZYr5TXygTFi9hwuIlWBsbKcvMIHbYcAJCQqiqLODbLe8ybNSsbuuTkZGR6Qt63IOdlyeUaZdffjmrVq0iPLxvO9olSeLRRx9l7ty5jBvXuUqvubmZX//619x+++2EhrYOdv3gBz9gyJAhxMXFcfLkSX7zm99w7NgxT2dfeXk5MTExHfYXExNDeXl5p8f6zW9+w6OPPur52WKxkJyczMKFC9sde7BgMu9k3/4yoqLiWLp0qbfL6TdsNhubN29mwYIFaDTe7wi82Dl6NJ/ss/tQKZX8/qkfkpoSzYIFdu67/3Xy8is5m+PkV78cvOdjV3y1+RhwhiHpCX3699hX57/VamfV53+hsdHOJZdcSlSU718T165/A4AlS+ayaOFEL1fTd5w+Y2fjpiPUNwZ5/dqdkbkOyOHSueNZutR3Zty66avzv6l5L3v3CaFFcFAAL7/0Y4YMieG2W+Gjj3fx6mtfsf9AGampaTz4s0XthCAffPgtJ05WoVIqefLJG7nyivEcPfYiZWVGpkyezrg+mA22Zet/AVi6dBZLl/r3C+WwYaWsXnOWpmap0/O7udnK2ytexmhqYePGfK57dQFpaR2f9/qCwsJq4ACBgVpuvPFavxC/uenu3G8sqKd2ZzmxoTGkzruB1z75EHtdHYsXLULZRvAN4HTYefvHd2M1GSn9ahPzly4loZ+EII1mE6ee/zsA1958M2ptaweM5JAo+TgXkJh61QzPDB1/oLm8keqvS4kIMHDNspt58d23cTQ3c8VllxIQ3N4JSJIk3l/+INbaWsq2fM3chYsYMn16F3u+MBx2O6f++Q8AFt9wI8GRke3qKPssDydOJlw2CV30hYvVBpKBevZ3u0Y+//zzbNiwgYyMDAIDA5k9ezbPPvtsp5MOAB544AH+85//8MILL/DII494lre0tPD444/z4Ycf0tTUxJVXXskrr7xCUlJrpJ3RaOThhx9mzZo1ACxbtoyXX365w2SJwUxkZAjVNXWEhAQye1Z7V9KZlwzHYAjCZGogJ7eCMaO9HwfojqYJCQ4gKCig+5V9mNRUca8tKOhoYe7LuAUGKpWSoCDfjLZyO4EYL0InEEmSMJmE4Da8n0Ug06aKwa6TpwpparISGOixLJZZAAD9fklEQVQ/zxIy/sup00We/+/fn83x4wVMmJDqxYoGHy0tNopLakgfEutX72uDiZ5EwXRGWJieKVPSe7SuKkCNJlSLzWQlNCAJe2BNr46VnDKW5JSO77EabQBOlRqVw05x4cl2Yoq2wozeMGL07E6XJ6WO9QhOKiryiI9vdcdottSgBKLjh2GrE+JVpU6FSqfqsJ/aInFdCU9MZPL0zvsEE5JHcxRQ2Jo9gpOA4GBSJ0+Bd8SzUXKacOJ2x8E0tBGBKDVKdJEBNJc3YjW2EBJlYPrM6zs9VlTsEEoBa6OlfZ01Jagkt2NG98KMtgQGBDPr0ls6/Sw0Ip7G4iwaTO1Fybnu6J5OhBndERoWzSXTb6Yo76xIbglpfXcMCImguc5ITb5wHdGHGQgMDaW48BQAyoDun1u0er1obxfRManccNvve1ybjIyMzIXQ62mMW7eK/Hqr1UpeXh5Dhw5Frb7w2ZAPPfQQx48f59tvv+30c5vNxm233YbT6eSVV15p99l9993n+f+4ceMYPnw406ZN4/Dhw0yZIi6wnT38SZLU5UOhTqdDp+vYMaDRaAaleMBgEB3P9fXNg/L7fZfB+nv0J5xOJ6++LmapX3fddIYNTQDE7+ZXv7yBn/zsdTZsPMKMGSNYuGDwDNr3hKoqMaMxPj68X87TCz3/NRoNiQkRFBXXUFJiJD4+8twbeRGr1U52thi0nzRxyKD621+0aBIbNx1hx47TPP7odajVHV8KB4oTJ4Ul4uTJ6T7dxhd6/icmRrn2o+KZp3/IiBGteaZ3/HA+BkMwTz+zik8/20NUVCh3/HAeAHv3ZvGfN74G4Be/uIbFi8TzSWhIIGVlRhqbbBfcbi0tNo4dF643My8Z6dO/h56QkiJe2I3GBmw2J3p9++ey9z/4lqpq0bnQ1Gzlqd9/zJtv/Izg4L4fWKuuEYMxcXEGtFr/HCjo7NwPCBcD+vZ6G+HxKSjVapx2O81mE2Gx7WMWD61fR22h+Dt32u2s/tMfuOfNFQR34+B3vjTWiI68oIhIAoOC233WXNsITgllgIrACL1fdfAqwsVsOHuDDX1wKEHh4TQYjTRUVRES3r4dz2zdQulp0amEJLHur3/mnjdXYIiP/+5uL5iG6mokpxOVRoMhJgZFm5loVlMLzhYnCpWCoNgQFCr/ae+29Pezv3vfu3bt4sEHH2T69OnY7XaefPJJFi5cyOnTpwkKat85+MUXX7Bv3z4SEhI67O+RRx5h7dq1fPTRR0RGRvLYY49xzTXXcOjQIY8j5+23305xcbHHNe7+++/njjvuYO3atf32PX2NqKhQMrNKuerKCWi17fsklEolw4fFc+DgWc6eLfMNEYgrViwurv+cqwaC1NRoAPL9zAnEEzViCPLZe0e4ywnE7T52MdHUZMVqFbOdw/oxDgYgKSmS2FgDFRUmjh3PZ+YlI/r1eDIy0CoC0et1NDa28OZbX/Ovl37s5aoGF08/s4qvNh9j9OgkfnTnfObOGeX12NyLjfMVgfQWtcElAglMwh7Zd+//ygA9NFg8zh9uWupqUQIx8cP65DiBAcE4VSpUDgclhSfbiUCkZrdjxjjsFncUTOd9EO5okojkricUpaYJ5w2lBLW1pUS5hCzV1cWoJOH0nDZU9E+5RSBtnUAAtOE6mssbsZlauv1e8UmjOA5gbe8smZtzGBDCjNDQvjk3ImOHUM52rA3tBSclbmFGYHBnm3WLzdXe6hAtCmXrs2JoRDzNpTnUV7hdQIRjTZXrPAkI69/zXUZGRuZC6PWTUFNTEz/+8Y/R6/WMHTuWQldn8MMPP8wzzzxzXkUsX76cNWvWsHXr1nazm9zYbDZuueUW8vLy2Lx58zmdOKZMmYJGoyE7W2SoxcXFUVFR0WG9qqoqYl153Bc7oaFiEMBtTysj09/s2ZtFRkYJer2Oe+65st1nEyakctNNYgb7n/78Cf9btdcbJXoN9yzBuFiDV+vojrQhYnA2L9/3O38zs0qx2RwYDHoSE/t+sNKbTJmc7prl2sjBQzleq8NiaSQ3V9xnJ0xI81odA8GsmSO48455PP/cXZ3OVLn2mmk8vFzMwHj1tS9Zt+4gRUXV/P6PHyFJEsuunc4N17fG04WEiPtvXV3v779NTVby8ipwuqwujx8vwGq1ExUVypAh/eOIMZCEhAR62qesvH0nRG1tHStXbgfg5w9fTWxMGIVF1fzlr5952gOgosJEQWFHK9Le4g/X5fNB45rd4mx2gAMMcUJgYCota7deS0MDO99+E4D59z1AZGoqdVVVfPHH3+O02z3r1dfUUJWXi+TqTDpfzC6nvrBOntObK0SnWECsfwlAAFR6NSgV4BRCEINr8N9U1r69HTYbW14TovfZP7iD+NGjabJY+OzJ32Brae14azSZqDh7FqnNOX8+uNs79DsCEGhtb110oN8KQAaSVatWcddddzF27FgmTpzIihUrKCws5NCh9rFFJSUlPPTQQ7z//vsdxClms5m33nqL559/nquuuorJkyezcuVKTpw4wddfCzHhmTNn2LRpE2+++SazZs1i1qxZvPHGG6xbt47MzMwB+77e5tZbZjN79kiP4PK7DBsmxGxnczp3/xxoyl33slg/joIBSHOJQKqqLDQ0NJ9jbd/BbHJFjfSzwOBCCA8XYrGLMQ7G7dSi1ar73ZlDoVB43EAOefEdSubi4vRp4STwyMNXo1arOHgohyNH87xc1eDCLbQ5c6aYX/9mJXfe9TLbtp/0clUXFwWFQgSSkhzdr8fRGMR9IjQgidiEvhPyBYSIPsPaykLPMqfT2SrMcDlm9AVKnXgeKS/J8iyrrir0CDPSh03DZu5eBOKepBHZjQhErw/D4XrHKyo47lmed/YgAA6lyiPM0LtFIKb2/S8ag5iQYzV2LwJJcUW9qCQJcxuHjpKCE8D5CTO6Is71e5es7fvSqkvFfT3wPMQmXbV3RLRoX5vLsSwiRfxcVysibMOjL9zVV0ZGRqa/6LWFx69//WuOHTvGtm3bWLx4sWf5VVddxR/+8Ad+/etf93hfkiSxfPlyPv/8c7Zt28aQIUM6rOMWgGRnZ7N161YiI8894/zUqVPYbDbiXTPlZs2ahdlsZv/+/cyYIfLf9u3bh9lsZvbszm25LjY8IpA6Oc9aZmDIyhIPSvPnjfXY3rblkYevRnJK/G/VXp7/5xpMpgbuufsKvxvwOR/8YZbgkLQYdu48Q37+hQ+u9jcnXQ4V48amDLrzR61WccXl41j1+T7Wrj3otVlsx13uEykpUZ3+PQ8m1GoVP3lgUbfr3HbrXGpr61n5/g6e+fvnREeHUV/fzPjxKTz2aPsokQsRgTzz7Co2f32c6OhQFlw1kaoqMwAzZgwbNOd6YkIEGZkllJYaGZre6kzx1tvf0NhkZdSoRG6+aRbjx6fy05+9zo6dp3n1tS8JDg5k+/ZTZGSWADB6dBI33TiTK64Yj07XezeACs912dAXX8tnUGpVKHUqnC0O7PU2DPHx1BYXYSotIXVya+7ung9W0mA0EpGUzMzv387IefNYcd+9FBw5zJcvvkB4YiIZO7ZRcuoUSBIx6UOZ+r3vMW7BIrSBvY8PsbjE22FxcR0+ay5vFYH4GwqlAk2wBpvF6mrvBEpOncJUWtpuvUOfr8JUWkpQRCRz7vwRU2+4kbd+fDcV2Vmsf/ZpEseMIWP7doqOH0NyOolITmHajTcyfvFSAoJ7fw22VLhFN4OrvX0Bs1lclyPaOOY4nU7uuOMOnnjiCcaO7WhFfejQIWw2GwsXLvQsS0hIYNy4cezevZtFixaxZ88ewsLCuOSSVlHhzJkzCQsLY/fu3Z3Gz7S0tNDSRkTkjrCx2WzYbLYL/7JeYOLEVCZOFFb6nX2HtDQxAJGdVeoT37G0tBaAmOjQPq3Hva+B+o4BAWoiIoKpra0nJ6eM0T7gstITamrFOR8aGugT50NnhIaK2cy1tXU+W2N/UV0jrpdhYXrsbQSm3XEh5/7kSWms33CII0fyLrq2lhl4jMZ6ysqMKBQK5swZydLTk1mz5iBvvLmZl164+7z2OdDXfl/HbndQXmYC4PrrprP56+Pk5lbw2yc/4BePXM31183wboEXCYWuCRiJCYb+PTeDhKghNCAJQ7Kqz44VZIilpTyfOmO5Z5/VlQUeYUZyyoQ+O5Y2KAxbYx01lQWefZ7N3AcIYYYuIIQGk3gvVgZ3/h2rC0VfXFhCQrd1KbSB0NxAaVEm4yYsAKA43y3MCPJsGxAiJl7X19a2258yRDgRWo0t3R4nUG/AoVCgkiTyco4ydsLlAFSVCWFGQGhUn7VffJKI61E5nZiMVQQFGwCwuIQZoZGJvT5Wi0mIm1Xfae/ouGFkAM56O6DEkCD23VJnRAVExg0d0GvxQF3/5fuLjMzgoNcikC+++IKPP/6YmTNnthtgGDNmDDk5vVPQP/jgg3zwwQesXr2akJAQyt2z/sLCCAwMxG63c9NNN3H48GHWrVuHw+HwrBMREYFWqyUnJ4f333+fpUuXEhUVxenTp3nssceYPHkyc+bMAWD06NEsXryY++67j9dffx0QdrnXXHNNl/nMFxuhIaJjV3YCkRkoSlydoElJnQu7lEolj/7iWsLC9Ly9Ygtvvf0NFksjv3jk2oEs0yt4Bhtjw7xbSDe4s8Dz/cAJxCMCGTc4ldnLlk3ni9X72brtJHv3ZXlFCHLseD4AEyemDfixfZWf/mQRJlMD69YfoqLCRFRUKH/7yw/QaNo/el2ICOTosXxAzMT94MOdnuUzpvWNRakvEB8f7hKB1HqW5eVVsGatmLWy/MElKJVKxoxO4tFfLOPZv3/O+x+0toVCoUClUnLmTDH/76+f8fL/beRHd87n1lvm9KoOtxNIbKzvivPOF3WwBqtbBJIg4o2MZa2iBEtlJfs++hCAy3/6M1QaDVGpaVz72yf531NPcnj15+32p9JqqczNYeM//s7WV19lxi23cund9/SqplYnkPaiBMkp0Vwp/lYCYnsvLvEFVG1FIC4nEGNpiefzpjoLO995G4B5996HVq9Hq9dzw5/+zAePPsKpzV9xavNXnvXVWi21RYV89dKLbPvPf5h83XVc+dMHOzh6dIfZJQIJ7Ux043Fe8c/29iaSJPHoo48yd+5cxo0b51n+7LPPolarefjhhzvdrry8HK1WS3h4++tNbGys5124vLycmJiOjk8xMTGedb7L008/zZ/+9KcOy7/66iv0+sEp8qmsFLP1MjKLWb9+vdcFkkeOCMtoo7GMDRs29Pn+N2/e3Of77IrgYCW1tbB27Tfk5fXvbN++4tBh8bfR2Gjul/bvC+rrxQxUk6mBdevWo1QODlFvT8jJNQGgUNh7/fs5n3O/vFxcHwqLKnz2fJAZPJw9K2bVR0QEsGPHFhLj7ahUCo4ezefV1z4kNeX8+34G8trvyxiNzTicTtRqJSOGK0hNGce3u4o5dLiCF19aT35+FiOGDy5nWF9DkiTy8sS9Ni/vNPX1+f12LEd9HZOZSkhAAkfPnia/sG+u43WNwmGx3ljpuTdUlApHP7tSyfYdu/vkOAAtTjVKoKzorOdY+ZniPc+h1rFhwwaGWpIJIpATOScxF3V0CSvOFC4iWSUllHRzL7MrNWiBjJP7sSvEemczDqME7MoAz/Hr8nIBKC8sbHdvVDqVjGMYjkY7m9Zvwqno2onSodKgslvZtWMDBcXi3b2qNA8t0OLU9tk91+l04gBUwBer3iE8SvSFNplr0AKWRmWvj5VWl0AowWQUZlFbecCzvLHBNQHSZYCXV1lJ9bp1KFrE9yuvbPHKs0R/X/8bG+XJ4jIyg4Fei0Cqqqo67XBqaGjodafKq6++CsD8+fPbLV+xYgV33XUXxcXFrFmzBoBJkya1W2fr1q3Mnz8frVbLN998w0svvUR9fT3JyclcffXV/OEPf/DkJQO8//77PPzww54ZVcuWLePf//53r+odzLgHoSyWJiRJ8noH2WAgL6+CqKhQT9vKtKekRAzoJSR0/RKmUCi498dXYTAE8cKL6/j0sz0sXjyZ0aP8Y7bZ+SBJUmvsgI87gYB/xMGcPNXqBDIYGTE8gZu+N4tPPt3NP55bzcr//rzfLZS/i1uMMGmQR8H0BoVCwS+fuB6Hw8mhw7n87S+3ExkZ0mG9VhFI7+zUm5utVFWJGa1PPXkT3+7KYNfuDPR6HZcMolxz9z2ipI0I5JVXv8ThcHLppaOZPLk1kue6ZdPJy6vgi9X7mTolnXnzxjJ37mgUwNp1B1n1+T4qK8289K/1LFk8xeOC1hPKK0TH7WBzAgGXCKSmGVsbUUJbZ4rtb/wHu9VK8oSJjLz0Ms/yUfMv57J77mXXe++Kzy6bx4hLL0MToOP4hg0c+vx/GEtK2PH2m4xbtIhwl8CkJ3QlSrAaW5BsThQaJdqIvst+Hkg0wRqaoZ3opm177/rvuzTX1RGdns7EpVd7lqdNncaC5T/nm1f+TcKYMYy8dB4jL5tHYFgoJ7/8koOr/kd1fh77PvqQMVdcScLoMT2uySO6+U572+ttOBrsoABdzOAUCfQnDz30EMePH+fbb7/1LDt06BAvvfQShw8f7vX71nff0Trbvrv3uN/85jc8+uijnp8tFgvJycksXLjwnHGr/orVaue/K0/T0uJg2rQ5xHo50mv9hjeBGubPn8n8eR1dYM4Xm83G5s2bWbBgQYd4of4iI9NJYeEBDOEJLF26YECOeaFUVG4FChg1cihLly71djmdYnc4eOW1o0iSxOzZ84iIGNwOe2358qtjQCbJyXE9/v1cyLlfU1PHu++dpKnRwaJFi1Gpep2WPeiRJImjx/KRJOFgFBUVQkDAwL5nDhbefOsbIIsZ00d5zu/yCi2ff7GfjIxmfvqT7/d6n9649vsy+/ZnA8dITo7i6qvFM/QNN0g89/xa1q0/xPoNeVz1/GWDdnKQL1BbW8/fn9uPQqHgtu9fh07bf+flnp2fYM9rQa3UsfSKZV3GpfSWA3ub2VN4AJXD5vlbXfPZEeoAlT6kT58f7I1HyN+Tj0ayevb7Tt4XWIDQqHiWLl1K6ae5OO1Opl92CdoIXfvtrVZO/fMfACy5+WaCI7p2z6/M+wJLrokAjcNzrNzDr+EEkoaMab0uZWXx3/99isrp6PBdS/+Xh7PJweUz5qGL7rovJffwaziNFRhCVZ59ZO58FoDxk+Zy+cK+a8MXdv0DrM0kxAdz+YKlOJ1Osr4Rovf5V93AiJGzerW/8jUF2G02Js2aTEB86/uv0+nkpT2vIrWI96wF112PVWsldytIwE0334suYODelwfq+u92jpSRkfFvei0CmT59OuvXr2f58uVAa+fTG2+8waxZvbuwnisvPC0t7ZzrJCcns3379nMeKyIigpUrV/aqvosJ90CI3e6gqcmKXq87xxYy3XH2bBl33vUyBkMQT/7me8yZM8rbJfkc7lndid2IQNzc9L1Z7NmTyZ69WZw+XTyoRSAmUwMtLcJuLSbGl51AxIw/k6kBk6kBgyHIyxV1TkWFiaoqCyqV0m+sqs+H++9bwPYdpykrM/LW29/w0INLBuzYzc1WMjPFAKbsBNIetVrFU7+7udtBufN1AnGLIkKCA1i8eDJLlkyhsVHY/A+me3highDD7d+Xze//8BE5ueXk5VWiUin52U8Xd1j/kZ9fwyM/v6bD8jvvmM/t37+UG2/6B9XVFgoLq3rVAegW58UPUhEIiAH/cJcIpOj4MVb/+Y9U5uZSmSNmrl/5s4c6nMeX3n1Ppy4fl9x6GzNuvoU37rqDqrw8qvPzeycC6UKU4HGliAlE4aezoztr7/KsTNb+9S9U5uZQcTYbEO2tbCNoB5h+081Mv+nmDvucesONTLn+Bt5b/jOKjh2juqCgdyKQLuJg3O2tjQxAqZEHx3rD8uXLWbNmDTt27CApqfX5Y+fOnVRWVpKS0nr9cTgcPPbYY7z44ovk5+cTFxeH1WrFaDS2cwOprKz0RJnGxcVR4YpNaktVVRWxsbGd1qTT6dDpOt4fNBrNoB080mg0pKXFkJNTTkFBDUlJ3nWsqKgUcReJCZH90uYD+btMTxfnWWFRjd+cP27BbXh4sM/WrNFoCAsLxGRqpL6+ZVA6kHVFfb3r92Po/e/nfM796GgDSqUCh9NJQ4O1U7H2xc727af4zZPvt1sWHR3KU0/exLRB5Dw4EGRkiPfl8eNSPOfqj+68nNVrDnD0WD4VlRaSEs8df94Zg/k+3hvKy8U9Njkpql17/PKJ6zEaG9i1O4PfPPkBr736AGmpHSe3yvSesnIju3dlsHjxZIKCAijzTGgzEBzUtwPiX296nexjW7jn5yvQBeipKs8iuNlAuD4dqd6BJrJv/gZS0iawB1A67CA50GgDMFaKyJWgsJg+/VuLjR9OPuBobvDst8Eo3svCY1JROpU4W4TjRmCEnkaLkTNbtzD2qgXoDQZMxcVITidavR5DTGy3AvPw6CQsucdorqv1HMvWYEYFxCeN9CwLixbPyk0mE2q1ut0+deEBNDU1iPZO6LodggzR1BkrqKstQ6PR4LDbUVjFPT5t2OQ+bUONPgSntRljVQEajYbiojMoEcKMYcOm9epYklPCXif64wMj9Niamjj51ZeMmj+fkKhoJIUWHKI9olNT2bf3fwA41RqCQ7zTf9/f13/53iIjMzjodW/e008/zZNPPslPf/pT7HY7L730EgsWLOCdd97hr3/9a3/UKDMABAZqUatFR/P5WNLLtCcruwwQA+RP/Oq//OO51TQ3W71cle/Q0mLzzGBPTOyZHeOIEWKgJCur9Bxr+jflriiYqMgQtNpe6/QGjMBArWdGfH6B77qBuKNghg6NG3B3jIFEr9fx+GPLAPjo42/JzCw5xxZ9x+nTxdjtDqKiQomPv3g6qntDdy/joSHCzcDSWxGIy00pMSnSs3+9XjeoBCAAia7O0MKiar7+5jh5eeJ6c/ddl5Oa0rvBPLVaRZpLwJZfUNXj7RwOp+ee5e1Z5D1BkiSsTS2t/5qtOGwOrM3W9std/xQ6cf5YzS0ERcUgocRcUcWJzV9TkZOLhJIpN9xEdPqwTrfv6p+txUZ4yhAklFScze3VtubySiSU6A0R7ZY3lgoLXE2Etlf786V/uG5FVksLQRHRSChpMFk4tmkTZVnZOJ0w+sqFJI2f3Lv2brYSkSzau7KX7W0qc7V3eGS75Q0ldQBoI3VebzdrU8s5Jwf4ApIk8dBDD7Fq1Sq2bNnCkCFD2n1+xx13cPz4cY4ePer5l5CQwBNPPMGXX34JwNSpU9FoNO3sfcvKyjh58qRHBDJr1izMZjP79+/3rLNv3z7MZrNnHRnB0KFC3JR9tsyrddhsdqqrxd/UYHCVcg+gFeT3/H7qbUxmEf/hq+J1N+Hhwv2jtraj7ftgxmQSwkND+MD8flQqJRGutq6ulme6dsbefSJmICQkkIAAMRBUVWXh//31Mxpc4nOZc+N0Ojl9pgiAMWOTPctjYsKY4nI13LLlhFdqG0wUF9cAHSOn1WoVf/7TbYwZnYTF0sSjj71DbW2dN0ocdPz73xt5/oW1/Pi+V8gvqKSoSPwOkpOj+vQ4xtpSDm/8D40l2bz8xyWUlWZTU5GPpakYAKux7/rb4+OH41SAAvi/v92IxVJNXa0QZhhi+tZFJm3oFABUdhuv//MObNZmrA0mAGITR2KziO+l0qtRapTsWPEWX730Am/dezdlmZnUFon+zojklHM6DCYkCwc6yVLLB28/3k6YkTJkkmc9vcEAgNPhoLm+/d+JJlz0NZ2rvSNjxftPXVEGm9a8RGlppkeYkTpkcrfb9pbgCPGcX3Dka/bu/h/5OYdF/WpNr5057PU2kEChUqAKUrPv4w9Fe99zF4XHjqJSuNzZtBK5+YcpKz4DgFovi0hlZGR8m16PMM6ePZtdu3bx3HPPMXToUL766iumTJnCnj17GD9+fH/UKDMAKBQKQkMDqa2tx2Jp8otBDl+mvFzYxkdFhVJdbeHzL/Zx+Eguz/39Rz0WPQxmyspE++j1OsLCevZQNnLkRSICcSnnY/2gc3hIWgzl5Sby86uYNHHIuTfwAidPic6WcW06WwYrc2aP4sorx/PNNyd4+tnPefM/P/WI+/qTY8fzAZg4MVWOEjsPztcJxN3JNdjvKZMnD+H662bQ2NjC0KFxDB0ax7ChceftlJSWFs3BQzkU9EIEUl1tweFwolIp/WKWqK3Zyp+vfrLD8sOvdJ5fnJKUwoLLF1B0LJ81T68BzcwO6+xaV8qudR332SM0M9n0zjE2vXOsFxuNBg28tvztdktvv+l2AgMD+eC596io7OiC4A/ERMdw7eJrqcmt4pPnP+m0vQ/vqOfwjvNv722r8ti2qjfbJ4ImkXef/Az4zLP0xmtvJNwQzhev/4+CooLzq6cP+f36v6IN9G2h22OPPcZnn33G6tWrCQkJodztahMWRmBgIJGRkURGth+c0Gg0xMXFMXLkSM+6P/7xj3nssceIjIwkIiKCxx9/nPHjx3PVVVcBMHr0aBYvXsx9993H66+/DsD999/PNddc49mPjGD4sDi++gpycsq9WkdlpQVJktBq1Z5Bfn8mLU2IKktKa7HZ7Gg0vited2Mxi2etnr5/eovw8GDy8iqpNV5sIhCXSGcAfz9RUaFU19RRXV2HfOnsyPHj4t7/5G+/x6VzR2M2N3Lv/a9SWlrLO+9s4cGfDZz7pD9TWFhNQ0MLAQEa0oe0d+u68soJHDyUwzffnODOO+Z7p8BBQnGJSwTSyftxYKCWf/z9Th746esUF9fwq9+s5N//uhedTp7lfiGcPi362woLq7n3vlcZPjwegJSUvhWBhEckMGXJ/RzZ+B+UjXW89/fbQa3BYkgFwGbqO1GaSq1mxNybyN75GY7acl7787XgsKMC4pL61uU7KXk0kaMuoSZjH/X5p/jXH5egsIrvkpY+CZtR/N8ddVN6+hQAlooK/vuzB0gaPwGAyJRzi1Nmzr2Fgzs+xFZZRNnRLbyUt9QjzEgbMtGznlqrRRcUREtDA41GI4EhrZGRWoNLBHKO9l607Be8dnIHynozp75+l9MH1gEuYYa2byNdr775t6x84S5U1ha+/eivKELExDR1UO+jLq1t2luhUFB6+jQADUYj7/98OVEj0qkkG6XOyepXHkIRGIwCCAqP62avMjIyMt7nvHx9x48fz7vvvsvJkyc5ffo0K1eulAUggwB3JIylrtHLlfg/7oH8G66fwYsv3E1UZAgFBVW88+5W7xbmI3hmsCdG9HjQeMRwIQLJya3AZrP3W23epsLlBOIPMwRTXTMA8/N93wnkYsl9/cXPryEkJJCsrFI++bTzAd/ukCSJLVtPkJHRcyeRo8fyAZg0Ia3Xx5OBEPe919K7e2+Jp5Pr/GyD/QW1WsUvn7ieP/7hVu744Txmzxp5QVFZbveQgsKei0A84ryYsEGZF1/fIAaZgoN8e1AyNCSUwMBAHA4H1dXV3i7nvHG3d5A+yKeFczqdjnCD6EQrr/Tu4Lk/8dZbb2E2m5k/fz7x8fGefx9//HGv9vPCCy9w/fXXc8sttzBnzhz0ej1r165F1SYi6P3332f8+PEsXLiQhQsXMmHCBN57772+/kp+j684gZRXCBF8XKzBp//2e0pUVCh6vQ6Hw+kRpvo6HieQMN92Aom4SJ1AzK7fT9gA/n6iooS4t7pGdgX4LhZLI3mu9/zx48Qsc4MhiF88ImIXP/p4F3l53Qty16w9wLp1B/u9Vl/nlGugfOTIxA6TNObPG4tKpST7bFmv3k9kOtKVE4ib8PBg/vH3OwkJCeTUqSL+8rfPcDqdA1nioMJsbvTE3I0fn0JjYwvHXH1DKX3sBAJw1eIHuO4nL+PQaFE5HaiszViaxd+We/C+r7ju5t8y97YncSiVqKwtqBwOAFLbOGb0FXf97FXGXHkHToB6s0eYkZQ4FtNx8c6riwnEYbNRlZcHQNL4CditVvIPietrRPK5J70plUoe+u3nxE+6AgmQzGLfTrUGzXeEGXpXHGWD0dhuudsJxHaO9g4ONvDzP24kOFXEk0pm8bepDur7yJSExJH85PdrUUXEoQCoEzUHGTqPx+wKySlhOiquwbqYQCRJojxbuGEljZ+A0+Gg8oyIbSVYjVKSUDSKZ4eImLS++CoyMjIy/Uavp2tYLJ3bJCoUCnQ6HVrt4LXbH+yEhogZFxaLHAdzobgHjOJiDcyYPpyf/Wwxf/5/n3oG+C92SkpdIpCEns9gj48PJyQ4gLr6ZnLzKhnpiocZbLQ9d3ydIUOECCTPR0UgJlMDGa5YlAnjU71czcAQERHC8geX8LdnVvHmW18zf95YEnrxd7Z120l+99SH6PU6Pnz/EaKju39Js9sdnHIJbSZOTLuQ0i9a3Pded059TykuFtfRrjq5ZDon1RUHU9gLJ5ByPxLnAWgCtPx+fWtEo81u58svv2TRokVo1B0f/Z1WB2WrCggMCOR3q/8fSnXfCV0qcs7y7k8fIDA0lOWffd6jbXIPHuCz3/6a6LQh3P2fNz3LG3IsmA5UExgbxJNr/9xnNQ40klOi9LM8lCj5zcd/RB3Ud7PnLZWVvPbD76NUqfjF2o2oeuAGVZb5/9k77/A4qrtt37NNdbXqvbr3Di7YVNtgeg+BOAECpAApkECAN+1N3pAGfAkkQEIJoQQCgdCMscEUGxfce5Fsq3dptStptX2+P2ZnZFld2q65r8vXZe3Ozp49Ozsz55zn9zxHePHuO0lMS+O7//q38nhXdSetmxrQJem5/82f+a2No0EfG/7jTIvFQlLS8CrPysvLez0WGxvL448/zuOPP97v61JTU3nppZeG28QxxwSfCKS6ugW73UlsiI6jSHL7GwqCIFBclMGhw9WUHa+npGR4k+2hwGKRBLem5PB2AklNHZsikDbf95MSxLge2eFNjYPpzX7fGK+wIL2He9FZS6awbNlUNm48zCOPvsPjf76tT2HbwYNV/PZ30r3fzFlFw45xjCZkt4Tp03ov1JpM8ZyxYAJbtx3j44/3cestFwS7eVGBx+OltlZa/M0bYHxcVJjBw/93E9//4XN8/PF+CvLTueP2FcFqZlRRWiq5NOflpfKXx2/nz4+/zxv/2QqgRLD6m0lTl/Ctn77Dc4+uxtvWhLVLmu9zWR2IXhFB4z+R7aIl15BfMI1/PX4HGnsnXqCwODAF0Kuu+CGFJXN4/x/3o3W78epj6DzYgbvdhTZeR/LMNBrLj+N1u4lNNLL68b/w+XPP8MU/XwAgvah4SO+j0Wi48dY/sunTl9n81qNoRRG9sXekc0JyCubqamyniUAMydI9tKfLjcfhQRvT/1hTb4jlW/e+xDv/+S1HP/s3GiAxNWdoHTJMkpLS+d7P3uOlZ75P44EvEID0nHHD2oflYCvOVgeaGC0pczNob2yky2JBo9Vy02N/Yvt/3uCTp59E9Ho5/7q72XniTbpqygDIK5oRgE+loqKi4j+GPeuYnDxw5Up+fj4333wzP//5z9Fooq9aMppRnEBUEcioOd3NQR40yxanYx25gn04MQaCIDBxUi67dp2g9FitKgIJA4qLfVngw1hMDSafbzyEx+Nl4sScYQkhIp1LLpnP2g93s2v3SX7/x7d57JGbh1Rx6nC4eOIvHwBgszn4wyPv8LuHvzbga0vL6rB1OTEmxjJuXPhP/ocjI46DGSNOIP5GFoEMx75eOS9n954gCUcEQegRmSG4NGj1WgyxBvT6PiyP40Bj0OB1etF4NBiM/ovbyJ4wHgEvdmsbbkeXkjE8ELbWZgS8JOdm9/gcFrNLam5uQthHggyGLkGPu92Fxi349bOkFeRhiIvB1dWFzdxEWuHgAkibuUXq75ysHm1pN7cBEJcT+f2tMrZJSzOSnJxAW1snJ8sbmTolPyTt6L6WJIfk/QPB9OkFHDpczd695axYPnvwF4QQURRPiRsJcycQnwjE3DbGRCC+7yeYIp30dEm0p4pAerN/vxQFM7OPYooffO9Stm0rZdfuk6z/aB8rV/T+/T//wgbl/x98sItvf+vCwDU2zJEjaqdN6/v6c8EFM30ikP2qCGSENDZacLs96PVaMgcpZJk3bxz333cVv3n4P/zjhU+IjdVz1ZULlXG5ytA4dkxyWJs4MQedTss9P7ycObNLKC2rY+7c4S3ADwdTcibf+9n7vP7yT6mprkTQCYhuEZfVqcSV+Iv8gqnc9b8f8O/n7yMtqxidLnBC4umzziPnobf4z4sPMXPKZVgOSvM96Uuy0Ri0NByTXCmyJk5Eo9Vy7u3fIn/GTCp272bSWUuH9V5Lz72JgqIZrH3zDyy54Bu9nlecQNraejyu0WvRJepxd7hwmR1oswe/Xl9+zU/YN24emze8wEVX/3hY7RwOGo2Gr9/xOBs/eZHDu9ex4pK7h/xal9VJ225pXjv1jEy0cTrqd0r9nV5UjC4mhsU33kTu1KmUbv6C2asuZWHiDbz/1h9pqD7CwiXXBuQzqaioqPiLYas0/vGPf5Cbm8uDDz7If//7X9566y0efPBB8vLyePLJJ7njjjv485//zG9/+9tAtFclgCQlyU4gahzMaPB6vYolXpZvIT/ZV81iVkUgAIpCf7gL87Lw4+ix2l7PHSutpanJMvrGhZjuivPwX2yU1f2NjRY6O4fnYhAMNnxyAIDzzxtbcWWCIHD/fVdhMOj48stS1q3fO6TXvfKvjdTXt5GamohOp2XTpsN84uvD/pBzomfOKlKFnyNEnmxyOFw4nUOLunI63YrYUHUCGR4jsa+X+zory//2peGCLlESh7jbXX7drz42FlO2VIXfXFE+pNdYGqToEVNWt7BM9Ip01UiLYbFDmGwKd+T+dnX4t78FjYa0Ain+rLkPd4m+sDZIVu6mzFP6WxTpqo6e/lYZ2wiCoLiBlJWFLtookoTeQ2Web5Fn9+6TIW7J4Njt3fdZJlN4n9fkOBjzGHMCsYQgrqdbBKLGwZzOPp8IZNas3iKQnJwUvvH1cwF44ok1dHT0nAs4cqSGzZuPKn9/sHY3Hs/YjN2w252cOCHda/XlBAJw9rJp6PVaTpY3cvxE93XK7fawY0cZdrszKG2NZORxXW5u6pDiOy+9ZD5fX30OAE89vY7LrniYn/38VbZuOxbV8dP+5JjPCUSO7gY4//yZfOuOlQGPUNXqdFxz4/8yYcb16H3uFINFlIyUuNhEvvGdv3Lp1fcFZP+nkpqWx23fe54Cx1wQIaEkifgCybFKjibJmjhR2X7C4iVc8N070cUMX/xSVDKbb937EjPn9HbCSfCJQE53AgGU/na2Db2/Z81dybfvfZnCIDhmLDtvNXfc8yJJpqG50YiiSPMXdYgekdjcBBInSHM+DaVS9EvWpEnKtkVz57H8zruJTZTu0y656kfcevczaPtwW1VRUVEJJ4Z9VX7hhRd45JFH+NWvfsVll13G5Zdfzq9+9Sv++Mc/8tprr/HQQw/x5z//mX/+85+BaK9KADGqTiB+wWzuxOl0o9EIZGZKNw+pKdJERltbp5o5CdTKcTDDcAKBbhGIPNiQKSur45u3/ZUH/+cV/zQwhNTX+/LCI6BK0GiMI91noRtubiAWi42dO48DcP55Y8+ar6AgnVtuPh+AP/35vUFdiJqaLLz40mcAfO/uS5QJkUcee6dfYaDX6+Wjj/cBMHtWsZ9aPvZITIxR3FaG6gZSV2/G6xWJizMo1aIqQ0MQBMUNZKi525HmBDISFBFIh/8nmdN89rQtFRVD2t5aL4tAspXHuuo68XR50MRoicsJ7wruoRDI/k4vkhZrWiqH1t+K6Ca7u7+dLXZcFieCViA+Xz3HqEQ+EyZI9tNlZXUha0N9g3yPHz3XkjlzSgApGrLVHN6ChTafwMBg0BEXF97RUrKL6FiKg/F4vMo8VHIQ42DS09U4mL5wudwcOlQN9C0CAbjpxrPJz0+juaWdX//fGz3muWQXkAvOn4nRGEdTk5Wdu44HvuFhyJGjNXg8XtLTjMr84OkYjXEsPFNa2P344/2AVCBw3/0v8r0fPMc/XvgkaO2NVEbiknnH7Su494eXMW5cFk6nm48+3sc99/6D5St/ye13PMlj/+9dPly3h+rqFkRRDFTTIxZFBBJil2adafiihHBGiSUxaEhb2C3Sl0UJ2RMn9fdSvyG7d3a29RaByG4rzgCJboJNR6kFe70NQSuQviRbmZuTRTfB6G8VFRWVQDNsEciWLVuYO3dur8fnzp3Lli1bAFi6dCmVlZWjb51KUEkaoSW9Sk/kiuH09CR0vix2eSLD4/H2qpIYa3i9Xmp8IpDhOoHIg4vS0roelSTrP9qHx+OlqqrZfw0NATabQ5n8igQRCEBRsbSYerK8McQt6YkSBTMhh4KC9FA3JyTc+NWljBuXRVubjcefWDPgtn996kPsdhezZhaxYvksvr76XIqLMzCbO3n8iQ/6fM077+7g4MEq4uIMfVoAqwwNjUZDYoI0kB7q9bemRjqH5uelDSnqR6UnciZ5RcXQrhnKwl0UVW+fTrcowf+Vb+mFwxUl+JwpThEldB6XFmcSSpL8mvUcKrr7279OIABpsgikYmhjMYtPdJN0Sn93+Po7viARjaH/rGcVlUhhwoQwcgKJkHv8oWAyxSsuK3v2hLcbiKVNEjWbTPFhf++U4hP4hruwxp90dNjxeqVF1mA6tcgFDS0tqhPIqRw9WovT6SY5OZ7CfsbSBoOOn//0evR6LZ9vPMRzz0vCj2OltWzceBhBELjttuXKOHHNml1Ba384ceigJKaZNq1gwHPPBRfMAuDjj/dhszm498cvsHWbtAhZVTU098KxjOwEkl8wdBGIRqPhmmsW8+IL3+P5Z+/k2msXk5ycgMvl4eChKl5/Ywu//N9/c/0Nj7Dqkl9zz73/4NXXNuF2ewL1MSIGu91JZaU0lp40MSekbdFHkSjB3enqjiU5MwttnOQwIXq9fTpTBIoBnUBSpP52RYHoxuPw0LpdmntImZeB3tgtEm5QnFdUEYiKikrkM2wRSH5+Ps8++2yvx5999lkKCiRru5aWFlJSoqfCZawgi0Cs7WoczGiQJ/hOtY3X63UkJsYCY2sypy9aWjtwOt1otZphL6gVFKQTG6vHbncpgg9RFNnwiVQtYbNFtk2mLCAyJsaSkBAb2sYMkZLiTADKy8PLCWTDBumYOP/8sRUFcyp6vY4H7r8aQRD4YO1uXn1tU58VLAcOVPLhh3sQBIEffP9SBEHAYOh+7ftrdrLty9Ier2lpaefJJ9cCcPtty5XoK5WRYRymCFOe5MrLH56QTkVCcQIZgoORKIpRuXB3OoF1ApFECc1DdAKRRQmyCMTr9tJZIS3OJI5L8nv7QkFARSA+0U3zcJ1AfM4rolek86QUr5cwPnojkFTGFooI5Hh9SKp5vV4vjb640GgTFM6ZK7mBhHskTFsIokZGihIHY+4cM9Xn5jZpjiQxMVYppAkGchxMq7lDXdg9BTkKZsaMogGFC9OnF3D/fVcB8NzzG/j0swP84x+Sa8XyC2ZSVJjBqlXzAPj0s4NjsiDq4KEqQOqrgVi6dCoGg46q6ha+eftf2bXrhPKcOkc7OCNxApERBIHJk/O45weX8f67D/Lv1+7lFz+7nuuuXcz0aQXo9Vqs1i62bjvGnx9foziojmXKyurxekVSUxOV82io0PucQKJBlNBV24noETGkxSqxJADmmhqcXTZ0BoNSYBFI4pOlNb3OPkQgihNIFPS3o9GG1+lFZ9STNK17bq3LalXmJE6N31FRUVGJVIYtAvnjH//IY489xuzZs7ntttu4/fbbmTNnDv/v//0/HnnkEQC2b9/OV77yFb83ViWwGJOkigs1DmZ09Jf3nOJzAzGbB45liHZqfIOzrEzTsCd4tFqNYud87JhkPVhaVqdUxbvdHiXrORLpFhAlh7Qdw6FYEYGEjxOIxWJjxxiOgjmV6dMLuPGrywD48+Nr+NkvXsVmkwZroiiyc9dxHv7tmwBccvE8pkzJU147c2YR11y9EIAHHnyJzzceUp7705/fp73DzuRJuVx7zeJgfZyoxaiIMIcoAvGdR/Nyhz/JpQJFRVJFY3nF4Octi8WG3S4t1Pdn4RwNBEOUMJQ4GI/bTXuzJM5J8okSbJXtiG4vukQ9MZlxfm9fKNAlSpOVgXUCKR/S4uHpohv7KdE78XlqFIxKdFBclIlWq6G9vUsRYwST1tYOXC4PGo1ARkZ0iNlk5vlEILt2nxhky9BisXQ7gYQ7Kb4oWbfbQ3v72Fg0P9WpJZgkJyeg1WrwekXMg8RnjiX2+0Qgs2YOvth48ap5fOX6swD431+9zqefHUQQBL7x9fMAmDolj5LiTJxONx/7CjXGCqIodgtqBhGBJMTHsGTJZEASqhuNcdx+23IArBZ1jnYwFCeQ/NGNjwVBID8vjZUr5/DDH1zG3//2HT5a93Oe+ft3+dpNZwPw8suf09o6tt2DSn3xepMmhjYKBkCf7BOBWJ2InsiOX5fdTGIz43oI8BrKpKKsjPHj0eh0AW+H4gTS1tbrOdl5xWv34OmK3Pl3AGer1N8xGXE93EZlF5Dk3FxiE9XxsIqKSuQzbBHI5ZdfzrFjx7j44otpbW2lubmZVatWceTIES699FIAvvOd7/Doo4/6vbEqgSUpyVeJrIpARkV9YxvQO+9ZzvZtG+OTC7W1kpI4bwQKfYDJvkiYoz4RyCefHOjxvLzAHYlUydX9eZFT3V9cJIlAwikORo2C6cl3v3MhP/j+pWi1Gj7+eD+33fFX3n5nO9+8/a/c/b1nOVneSFJSHN+6Y2Wv137n2xdx5pkTsdtdPPDgy7zyyka2bj3GRx/vQ6MR+Mn9VwW1Wi9aGa4TSI2fJrnGKvJ5q7KiadBFctmhKTU1kZgYfaCbFjJ0CT4RSKf/RQnpxdICQlt9HS7HwNfojuYmRK8XrV5PYqp0Lew44YuCGZcU9hb+Q0UR3XS6/F7lnZpfgKDR4OjspKNlYPtwh60Te7s0iS07gSj9XWxE0EZHf6uoGAw6xQWq7HjwI2FkoXfGKXGh0cKc2ZII5OTJxrB2vJTH4Kbk8BeBxMToT3ERHRsLjW0+kY4coxsstFoNqb74neZma1DfO1w5VbgwFBEIwJ3fvYgF88crwunzzp3OuHFZgLSofvHFkhvImg92BqDF4cvx4/W0tLQTG6tn+vTCQbe/cKUUvZ6cHM8Tf76NhWdKFehWq+oEMhBer7dHXKq/0et1TJuaz7e/tZIpU/KwdTl59rkNfn+fSEIuyps0KbRRMACaOC0agwZEcFki2x3a2SIJPw1pPZ2h649JooTsIEWTxA8QB6PRadAZpbFspLuBOFql/o5JPa2/S4Pb3yoqKiqBZlgiEJfLxXnnnYfD4eDhhx/mzTff5K233uLhhx+muLg4QE1UCRZJihOIOsAYDX3FwUD3hIY5jCfHgoHsBJKbO7LIqEk+Ecix0lpEUYwqEUhlpVT9XFiYEeKWDJ3iEmkxta7OjMPh/8XDkSBHwZw3xl1AZARB4PrrlvCXx28nPc1IeXkTv/v9Wxw5UkNMjJ6rr1rI88/eRZovE/tU4uIM/PH3X+eqK89EFEWe+OsH/OTBlwC47rolTJ6c1+s1KsNnpHEw+WoczIjIy0tFq9Vg63IOOuHfn7tXtKHz5d96ujx43f6toIpPTiHWaARRpLWqasBtZVeKpMxMBI0Gj91NV7XPIj6Kokl08ToQAC94bP6toNIZDCTnSvdKLYNEwlgbpAzk2EQjMQkJp0XvRE9/q6gATBjvi4QpC4EIxCcojMZYseTkBMb7+nbPnvCNhJGdQCIhDgZOiYRpHRtzB7JIJxTfjzwGamkeG4KbwaipacVs7kSv1zJ58tCq/HU6Lb/636+Sn5+GwaDjlpvP7/H8hSvnoNEI7N9fqcT6jgXkSNW5c8dhMAxevX/2sqn89uGv8fyzdzFxYg5JPmecobpFjlWam9uVyOnT52H9iUaj4e47VwHwzrvbh+QqGa0cK5WcQCZOCL0IRBAExZ0ikkUJoigqTiCGlJgez8mihKwJwYkmkeNgbFYLXnfvsaocCeMyR25/Q7cTiCG1Z383+EQ3ahSMiopKtDAsEYher+fAgQNRU4Wn0hPZCUQdYIyOBnnBqJcTiDShMdadQGp8TiC5uSNbvFREIEdrOX68nsqqZgwGHfHx0k1bZItApAkRuVIxEkhJTiApKQ5RFKnwiVhCidV6ahTMzBC3JryYNauI55+7izPOmEBqaiK33nI+b77xY3507xXk5PQvytLptPzo3iv4/vcuQRAEnE43WVnJ3P7N5UFsfXQzHBGI2+2htk46jwai0mksoNfryPNdgyoqBj5vRfPC3aloDBoEvTQs8HdEiSAI3RElg4gSlGgSnytFZ3k7iNLEjDzZFA0IGqHbfSWEETyK6MYXBWOr6kB0edEm6IjJio7oHRUVGTlSsux4XdDfu7FBiqCJpMjH4TDXFwmze3c4i0B8TiAREAcD3XMHrWNEBKJ8PyFwaklPlyKaVCcQCdkFZMqUvGG54JlM8Tz/3F289q97FGGYTHp6kuJqseaDXf5rbJjz5ZdlAMpnHwxBEDh72TTlWpFklH4PXV3OiI49DjRygURuTkrA3bbmzh3H0rOm4PF4efKpDwP6XuGK2+3huM9VTZ6fDTWyaMIZwaIET6cbr8MDQnfkiowcT5I9KUhOIElJIAggitisva+N+pTIF914XV7cVsk5xtDLCUQS8GWpTiAqKipRwrDjYL7+9a/z7LPPBqItKiFGHWD4h/p6aXHu9KrhbieQMS4CqRld5Mm4kkx0Oi3tHXb+9eomAM48c6LSvzZb5Nr/ySKKwgiKMBEEgZJiyQ2kvDz0IpDPP++OgiksjJx+DBZpaUb+9NitvPfOg9z2zeVKTNVgCILAV64/iz/8/ussXjSJ//3lDYrwSmX0dItABs99b2iw4PF4MRh0ZGQkBbppUUuhT2w3qAikH2FntCEIQkAjYYYsSmjoKUroOC4tnEaTC4iMEgkTABFIeuEwRTfZkmV75yn9rYr+VaKNUDqBmH1FACmp0ZkrPk8WgYSxE0hbW2jiRkaKfKyEc8SOP5G/n5QQfD8Z6ZITSHPL2HAC2bevgg8GEGLs2ze8KJhTSYiP6VfsdvEqKRLm7Xe2R5z78NFjtTQ2Wob1Grvdyd595QCceeaEEb1vYmIMGo10PxZpfRZMqmuCG5X63e9chFarYePGw+zZG77XvUBRUdmE0+kmPj4mbKKsZdGEK4JFCU6zNBekN8Wg0XUv17U3N9PZ2oqg0ZA5fmTnkuGi0emIT5LG37a23pEwhihwXpH7WxunQxvX7dTkstuVMXSwRDcqKioqgWZwP7rTcDqdPPPMM6xfv54FCxaQkNBzkPboo4/6rXEqwSUxMQZBEBBFkfb2rj6jAVQGprPTTnuHdCORdVrVsLzYOtbjYGprpazOvBE6gej1OsaNy+LYsVrWfrgHgPPOnaE4sESqE0inzUFTk6SwjqQ4GIDi4kz27qugvDz0dpiffX4IUKNgAsWSxZNZsnhyqJsRdQzHCaSm1ieky01Foxm2llfFR1FhBps4TPmgIhCfsDPKnUAAdEY9rjYH7vbAiRKaK8oH3K5blJCNq92Jo1H6TSSURJ/gKZAiENl5ZdD+buh2XvE4PNhqfNE7ahSMShQybpwkdqqubsHlcqPXD3sqZMTIi3dJxuh02JkzWxKBnDjRgNncMWSRcTCJNCcQJQ5mGAUkHo8Xr9cb1GPbX8huqaYQxMHITiBNY8AJRBRFHvyfl2lt7SA3N5XZs4t7bbNvfzkAs2b1fm40nH32NIqLMygvb+LPT6zhfx681q/7DwRNzVYee+xdPv3sIPn5abz6yg+HPP7as6dccdAsGuH8jkajwWiMw2KxYbV2KceqSk9kJ5C8IIlAioszuezSBfz37S954okPePqpb6PVRs64fN26PXz6+UEmjM9m2rQCpk0tQBDg8JFqDh2q5lhpLWcsmMBVVy7s8/XHjslRMNlBm48QRZEjn2/k0IaPufhH96HV6XC53XhcHpx2J5p4qR2OVjvOrvCaEy7dspkD69eRUVRM9pQp5Eyegi7GQP3RY9QdPUxDaSnZkyYzbfpKAHQmfY/PUH3wECIaUvOKEEUhaJ8v1pRKp8WKpaGJ5Jz8Hs8JcZI4zdnqwGGzh1XxQMWe3ex6523S8guU/o5NTKT+mNTf9UePkppfwJwlVwOgS+7Z37VHjuL1QkJyKob4pKD0tz7WEFZ9qKKiEn0Me3R44MAB5s2TFNzHfBlZMuoJK7LRaDQkJsbS3t6likBGiGwbbzTGkXBalbwaByMJHeSJrLxRxBhMnpTLsWO1iKKITqdl6VlTeOedLwGwhdkN/1Cp8kXBpKQkKNFMkUKx4gQSehHIsdJaAObPHx/ilqioDJ0ko2Q/OZQ4tmBPckUrxcVDcwJpiHIL/1PRJ+rpIkCihOJiYHBnCmtDAwCmzCw6T0qLMbE58YpLSTQRUCeQomIAWioqB9xO6e+sbDrLreD1Re+kqE5PKtFHRkYS8XEGbF1OampalfvXYCCLQCJFgDBckpMTGDcuixMnGtizt5zzzh29GHv3npNs2LCf737nIuLiDKPeX5vF5wQSApHBSEiVnUCGGAfj9Xq59ba/YO9y8sI/7iY2dvR9FkxkkU5yCH4j8rxXyxhwAqmpbVWOqc83HuolArFabYq758wZhX59b71exwP3X823v/s31qzZxcoVsznzjKHFpAQbr9fLu+/t5C9//YAOX5FXdXULR4/VMnVK/iCvlti2XYoTOPPMCaOaK0/yiUAsqhNIvyhOIEGMSv3mrRfw4bo9HDpcza9/8wYPPXBNwKNo/IHX6+WRx96lvb2LTz892O92GzceZvGiyX0WQpSW+kQgQYyCaW9u5eVfvgPA7o0/7/Hcrr9uJjYmlpuuvwl3u4vfXPFz3O4wdDffVgqUAu/2emrvln24zk6npKiET9/8mAO/PtBzA/0iaurhfy95KChNlcgGfTYvPPQG8EaPZzQaDd/46jfQuOCR636DrSsMz0/bTgAngDV9PFmKvXwjUydP5cv1W9nx+x09n9Yvwt4Jv7o0OP39s/f/D0OcOv5WUVEJHMOWbH7yySf9/tuwYUMg2qgSROTFZ6t18IUold5028Yn93ouRY2Doc7nApKUFEdiYuwgW/fPpIk5yv/POGMCRmOcEk0RqXEwlXIUTIS5gEB3fI28OB0q2tu7FDeVkiBO7KuojJbhOIFUV/vclMLEejVSkSvy5Biu/qhv6DviLRoJZBxMdzxJJaLX2+92ijNFdjZdNdL9UkJxdFY9BlIEklooLdxYGxtw2vqflDvVeaWrNrr7W0VFEIQhR4H5G3nxzpQUnSIQOCUSZvcJv+zvyac+5D9vbuVtn9B/tFh8IhBTcmR8B7ITyFDjYCormyktraOquoXtO44HsmkBoU35fkLnBNLcHP0ikMOHq5X/b9x0GFEUezy/ZatU6FdcnBGQ6KSZM4u45ppFAPzu9/+lqys8525+9X9v8Lvfv0VHh52pU/OVaJwvvjgy5H18uU0SgSwcpdAlyXfdGMoc7e//8F/uvOvv7N1bPqr3jDRqfOPjYMXBgCQee+jBa9BqNXz44R5+9otXcbnCUHhwGidONNDe3kVsrJ6VK2b36LPcnBSWXzCLCeOz8Xi8vPb6F33uQy68mjQxeCKQ2MSBHcbsDjs2mw1BEEg2JQenUX4mNUWa32k1t4a4JYPj9XqxWKViGbndkUZaqnTsR0J/q6ioqIyWyPOJVAkoSUnx1NS0qnmTI6TB5wTSpwhEtnQdw04gNbXSYtpoXEAAJk3OU/4vV5p1i0Ai0wmkskpyAiksTA9xS4aPPHHW0hraiTM51iEz0zQqkZGKSrDpntwb/NobikqnaEQW3DU1Wem0OXq5dwF0dTmVjPqxEgcDBCQOJjknB41Oh9vhwNrYgCk7p9c2oihi8TlTJGVmYT0k3S/FZkWWO9ZQCaQIJN5kIj45GVtbGy1VVeRM7jvGSxbdGDOzcRyQFhdiorS/VVQAiooyOHKkZlABoL+RBQhJUSwCmTt3HG/8Zyu7dp8c9b5EUaTC5zC4efNRbvjK0lHvT3bjjBQnEGXuYIhOIIdOWdzftOkwy5ZODUi7AoVF/n5CIgKRnECax0AczOHDNcr/q6tbqKho6uGK9KEvbvf882YGrA3fvmMlGzcepq7OzN+eWc/3774kYO81Emw2h9IPd991Mddft4QP1u5m3/4KNm8+ym3fXD7oPhobLZwsb0SjEViwYHQOpUk+d5z2QcaJnZ12/vu2JJr7zp1/Y+XKOdz5nQvJyIjuiD9RFEM2Pj7/vJnodFp++rN/8emnB3nQ+Qq//tVXiYkJXwdDWSA0c2YRv/j5VwDpHkUUReX8u2XLUe798Qu8+852br35fKVgBaT+Lj3mE4FM6j2eCxT6WAM/e///qNizhzd/9j+47F3kzZhJ4rKzufiyy9HrdDR/Woejvotv/PybJIwPD1H74U828O7D/0fWhIl8469PAWDv6MDtcpGYkgJA7ZEjvHrPPSQZbwHglie+jTa221Xmbzevpq22lut/90eK584Navvrjh3l9Z/ch72jg8zxE7j+t78n3iSdU1o3N9BV2cl193wV49TkoLarP8p37+Lf9/+YpKwsvv3iKwA4umw4bV0kpqYhCGCuqeGZb95MSvJNAHzlN6vRm7rd0168+07qjh7h8od+ypRzzg1Ku/UR5t6moqISeYxIBLJ9+3Zef/11KisrcTp7KrfffPNNvzRMJTTIOcVDsaRX6Y3sBNKXbbwcB2Ox2PB4vBGVGekvanyDs9zclFHtZ8L4bIyJsXg8Xs5eJk1wRboIRK5IHGlebChJS5MmKdvabLjdnpDZYJ48KS0eBtPeW0XFH3Q7gdgH3bbG57gTzEqnaCQpKY7U1ERaWzuoqGhi2tTe1s6ysDMhIabH5Fe0oogSAuAEotHpSM0voLn8JM0VFX2KQGxtZtwOBwgCcYYULO4OBL0GfXJ0WqOe2t+iKPo9VjOtqEgSgVSU9ykC8bhctDdLAlSjKYNWWzMIEJMe/ce6ythFcYEKshOIXMGdFKVxMABzfLESJ0400NbWOarF/La2Ttp9EQx79pb3K9YcKp2dDjweyYUqUiJ5lDiYITqBHDpUpfx/0xeHB51vEEWRmtpWcnNS0GhCPy/RLdIJ/vcjFzSYzZ0hHcsGg8NHJLGQXq/F5fKwcdNhZezc2trOl74IkwtXzglYG+LjY7j/x1dyz4/+weuvb2bFBbOYNq0gYO83XORYoPg4A1+9QRKgLVk8CYAjR2toaraSkd69wOxwuNjwyQHOWjJZEfp9+aXUj1On5I9a/Ce7NQ8WB3PypCSc0+m0eDxe1q3bw8aNh7j3nsu5eNW8UbUhnGlt7aCry4lGI5CTkxz09z972TR+99vV/OSBl/hi8xEe+ukr/OF3X/f7fb2/2LOvHOi+ZkPv6+KiRZOUiLe3/vslX199jvJcfX0b7R12dDptUN13BUHAEBfDxMULuenRR3n1x/dQe2Av8a3N6K6+EkNsDLHpcTjqu/B2eMImWqPuyEEEvBTNna206fS2Fc+dzZQzz0EQNLi9DuJSur8Pe0cHltpqBCB/+tSgf66i2bNY/fgT/Oue79N0/Biv338vN//tGfQxMcRmxNNV2Ymn3R0+/X3Y19+zZ/Xs79TuNYisCeOYdd5F6PWxeEU38ZmJCBrp9+p1u2k+WYaAl/zp08Lmc6moqKiMlmGP9l599VXOOussDh06xFtvvYXL5eLQoUNs2LABkym6FcZjge44GNUJZCQocTB9iEDkwZ8oimM2z7PWFweTlzu6xcu4OANPP/Vtnvn7d5V+jXQRSGWltBATiSIQkykBrVbTo8ouFMgTHyUlqghEJbIYahyM1+ulxnceVZ1ARs9gi4HdEW+jEy5GCrIowWNzI3r6j2wZKWlFvkiYioo+n5ejSRLT0nC1SiLz2My4sJ1EHS26BD0IIHpEPF0ev+8/zRfB01zZd39bmxpBFNEaDGgcUvWRIS0WjS70i4EqKoGiyBcHI993BwNRFJWxdTTHwaSkJJKbI10vyysaR7WvqqruiEm328N238L0SJGdWGJj9WFdoX0qKT4RiHnIIpBuJxCzubOHM8jpiKLIY//vXa7/yiO88q9No2uoH3A4XNh8sSCmEDi1JJvilbHsUPs7EnG7PRw9KjmBXHnFmYAUCSOz/qN9eL0i06cXUFAQWHfSRYsmceGFc/B6Rf754mcBfa/h0uwTgaSlGZXHUlONimB8y5ajPbZ/6m/r+NWvX+db33mapiYpHmGb75y1cOHoomCg+7oxWBzMCV9BzNy5JTz79+8yY0YhXV1Ofv+H/2K3h2fsjj+QI4mzs5LR60Njdr5o4SQe/ePNGAw6Nm8+2uN8HE6IosjePeVATxHI6QiCwI1fXQbA629sxunsjrk55nMBKSnJDFl/58+cyU1/ehxDQgK22hpObt8OgD5FcgN2msNnTrhy7x4ACmfPGXC7GWdfDEBz/XHsHd3XocYy6VySlJmlOHAEm6wJE/ja438hISWFxhPHOfzJBgAMcn+3hk9/Vw2xv2effzkA5pYqOlq7xwQtVZW4nU4McfGk5OX193IVFRWViGPYs3y/+c1veOyxx3jvvfcwGAz86U9/4vDhw1x//fUU+vKnVSKX4eRNqvSmobEN6Ns2XqfTKgrrNvPYjISpqfGJQPJGnxlYXJzZw/EhPl5awIhEEYjX61XiYOTJ6UhCq9WQ4qv2axmiZXEgOOmzjR5XkhWyNqiojARZBOJwuHpMspxOU5MVp9ONVqshK0sV3o6W4uJBRCA+J5Cx0teaGC2CThJcuDv8n2mdXjSIKMEXBWPKysLe6IsmyYheVwpBI6CNlyZPAxEJk15UDPQvulH6OzMLZ5PU37FR3N8qKtAdu1hR2YQoikF5z64uJy6XJPSKFBeKkZKbK43x6nwRoCOl8rS4ni1bjo1qfxaLNPYOhcBgpKT64mDsdteg41uHw0VpWR0AM2ZIc3IbNx7qd/sXX/qMN/6zFYDdu0/4o7mjQhZJabUajMbgR3pqNBplwb+pObTxpoGkoqIJu91FfJxBWeA9eLCKVl+kqxyBclEAXUBO5ZKL5wOjF435G9kJJC3d2OPxs86aAsAXm48oj5nNHfz3v1IES0VFE9+58+/U1LSyfXsZAGeeMXoRyFAL9U6ckO7rxo3LYsqUPJ766x1kZZpwOt3s29/3vWCksGPncZ56eh0PPPgSX73pMc49/2d845bH+ctfP2DDJ/sByAuxS+a8eeOUGKX33t8R0rb0R01tK80t7eh02kHdd1Ysn0V6ehItLe2sW78XgKqqZp7++zoAJk/KDXh7ByJn8hRmrZKEE/s/WAOAIVUqDHS22oN2jzcQXVYrTSeka2zBrFkDbmtKlvqzpekke959B5DGah/95XEAsidNCmBLBye9qJgF114HwN733wO6+9tlcQSkgGS4eFwuag4eAKBg9uwBt01MkNYSzC2V7HjjDQA6zWbWPvoIAFkTJyKEgUuaioqKir8Y9hnt+PHjXHKJlNkYExNDZ2cngiDwwx/+kL/97W9+b6BKcFGdQEbHQE4g0J1xa26LzAoTq9XGW//dNmi1en90O4GMXgRyOt1OIJFX5dDQaMHhcKHTafsUEEUCqb6JM3nSJBSocTAqkUpiYozidjDQ+VXOO87NSYlqq+pgUVgoV4T3LQIp9wnL+rumRxuCIEjuFAQmEkZ2puhPlNBUXg6AKSsbh08EEpsZ3aIEJRImACIQxXmlH9FNU/lJAEzZ2dh9IpCYKO9vFZX8vDQ0GoGODjutQRIuyw6Qer2W2NjIcKEYKTm+yM/autGJQCp8Ti2yaGfLlqOjWtBp8zmBhCJqZKTEx8cox8tgkTDHSuvweLykpiZy7TWLASkSpi8++GAXTz29Tvn7xMnQL8Cb22SRTnzI3L/SfWPZ5mZrSN4/GBz2ucNMnpxHVlYyU6bkIYoiX2w+Snl5I0eO1qDVajj//JlBaY9cGFRba1bimsKBlj6cQACWLJFEINu3l+FwSPdtr/17Mw6Hi/Hjs8nNTaW2tpVbb/sLVmsXCQkxTJvWO25yuMiFeoO5CcsikPG+ghiNRsP8BeMB2LHj+KjbESo+++wg3/v+s/zzxU/57PNDVFQ04XS6KS2t4+VXNvL6G1uA8HDJvOQSKXZn/Uf7wtJ9Ze/ecgCmTs0b1BVLr9dx/XVLAPjXvzbyxeYjfPP2v1Je3kR6ehI33XR2oJs7KDMvWgVA2ZbNdJrNGEwGEMDr9OKx+b+gYbhU7d8HQFphIQkpA8+Bu8zS8dLWWs2Xr7/GyR07eO72W6k7coQ4k4mlN98S8PYOxqwLV4EgULlnN+aaarTxOjQGDYjgtIT+eK87cgS300l8crIy79AfsnuJubWKnW+/RcXu3Tx3+61U7tmNIS6ec267PRhNVlFRUQkawxaBpKam0t4u3RTn5eVx4ICksmtra8NmG55w4OGHH+aMM87AaDSSmZnJlVdeydGjPa31RFHkF7/4Bbm5ucTFxXHuuedy8ODBHts4HA7uvvtu0tPTSUhI4PLLL6e6uqf9mtlsZvXq1ZhMJkwmE6tXr6atrW2Ynz76kQcYI13kH8u4XG6afZUj/S3kp6RIIpBIdQJ5+m/r+cMf3+YnD7yE292/dbkoitjtThobLbS0tOP1evF4vNT5RDK5ARCBxMVFrhOIbEmdn58asQu7aXJudYhEIB0ddpqapEm7YGaTqqj4A41GQ2KCJGQb6Poruynlh7jSKVqQnZeOHqvF6+05+exwuPhw3R4AzvBDFV+k0C1K8P9EjixKaDpxHI+rp+jB6/Gwd41UVTRu/mJFFBHNTiAQ2P5O901+tVZV4ejsed8piqJSZVYy/0ycLXYAYjIjZ4FURWUkxMToyfFFlvTnAuVvZIdNU1LoFriDRW6OzwlklCKQKp9D4uWXnkFcnIHmlnbFgn4kWGSRQXLkOIFAtxuIeRDB0qFDVQBMm5rP4kWT0Go1lJc3Kf0os+3LUn7z2zcBuPyyMwBoaGijM8TjZ0ubLy4phCKd9PQkIMpFIEekOVJZmLBs6VRAioSR73kXLZxEiu+4CzSZGSZ0Oi1ut4dGX4xKOCDP6aWnJfV4fNLEHNLTk7DbXezefZL29i7+86YkQLjtm8t58i+3U1iYrozlFswf75e5naG6NctxMOPGdbuizp/nE4HsjEwRiMvl5i9PrgWkY/P737uExx69hX+98kN+8bPrueTi+WRmmtBoBJYsmRzi1sLcOSXk5qRgszn49LODg78gyOxRomBKhrT9lVecSXx8DCfLG/nxff+ko8POzJmFPP/snWERY50xbjxxWdl43W4Orl+HoNWgN8luIKGfF67asweAgkGiSUSviNMsjcUc3nbam5p45Yffo9NsJnPCRG79+3PkTJ4S4NYOTlJWFuPOkKLE9n6wBkEQwioSpnLfHkDq78Hut52tUn97dU4cHR289L07sTY0kJpfwM1P/52iufMC3VwVFRWVoDJkEcitt95Ke3s7y5YtY/369QBcf/31fP/73+f222/nq1/9KhdccMGw3vyzzz7jzjvvZOvWraxfvx63283KlSvpPGWi8ve//z2PPvooTzzxBNu3byc7O5sVK1YoQhSAH/zgB7z11lu8+uqrbNq0iY6ODi699FI8nu5F6htvvJE9e/awdu1a1q5dy549e1i9evWw2jsWSDLKTiCqCGS4NDZaEUURg0HX78A5Jdk3kdMWeSIQr9er2Mru3nOSvz75YY/nHQ4Xf3zkbS6/8recd8HPOX/5L7jy6t9x2RUPc855P+Pqa3+P2+1Br9eSkZHU11uMim4nkNDffA4XuQo9HAZSIyU11ecEEqI4GDkKJiMjicTE4NsIq6iMFjkSZkAnEF/msT8itVRg5oxCEhJiqKszs3HTkR7PffTxPiwWG1lZySw9K/STLsFCZ5RECa52/ztTZI2fQGJaOl1WK/s/XNvjubKtW7DU1RGXlETJtEUA6FNi0BgiUxg5VPQBdAIx5eSQVliIx+Vi13/f6vFczYEDNJSWojMYmLp4BYigjdehSwhNtreKSjCRBYAV/bhA+Rurz4UiKYJcKEaKLLCprWsd1X4qq6TvZvyEbBb4Ktk3bzk60EsGJBKdQABlTmEw1xpZBDJ1aj5GYxxz50gLfBs3dbuBHD1aw0MPvYzH42Xlitnc9+MrSPWJ+CvKQ+sG0uaL60kOYVxPenroXS0DzeHDNQBMndJTBLJ9exlr1+4G4MIL5wStPVqthlzfOUMWuocD8jEg/z5kBEHgLJ/Q4IvNR/jPm1vp7HRQUpLJsqVTyMgw8dcnbmf8+GwAzl42zS/tUdyaLf0XXba1dSrniVNdURfMHwfAsWO1ETnH+/Y726mubiElJYFf/eqrfOX6s1h45kSKCjNYuXIODz14DW/95z42fPRLzloS+vGaRqPhkkukmKP33t8Z4tb0Zu++cgBmzy4e0vaJibFccfkZyt9XXXkmT/z5tl4uOaEkeYbkXLT3/fek+Xg5EsYnqggllfukGJ3CWQNHk7jbnYhuEUErMPXCc5THpy9fwc1PPk1yTk5A2zkcZl8sJQPs+2ANXo+nOxImHPrbJ7oZrL89drfiFDP5wmXK4xMWL+GWvz1DRsnQRFIqKioqkcSQRSAvvPACXV1dPPHEE9xwww0APPDAA/zoRz+ioaGBq6++mmeffXZYb7527Vpuvvlmpk+fzuzZs3n++eeprKxk507pZkkURf7f//t/PPTQQ1x99dXMmDGDF154AZvNxiuvvAKAxWLh2Wef5ZFHHmH58uXMnTuXl156if379/PRRx8BcPjwYdauXcszzzzD4sWLWbx4MX//+9957733ejmPjHXkRSir6gQybBoa2gDIyjT1qzpV4mAGsXQNR44eq1XyIwFefW0T6z+SbmrN5g6+94NnefOtbTQ3W3E6pRsqrVaDIAh4PF7FpWHSxFy0Wv9n60WyCESuRCyMYBGIPBBsaQ3NxJkcBVNSkjXIlioq4clQrr9ypFYg3JTGIgkJsVxztSQ4eOGfnyhW86Io8obPWvjqqxYG5JoVrgQyDkar17PQN4bY/PKLeN3dNr07/yNl8c6+5DLcZum9Y6PcBQQCGwcjCAKLb5IE79v+/SouR/f90Y43pf6evmIldErHd0xGXNS7FKioQLfoOlhOILKFv7yQF83IC7p1tSN3AnG7PVRXS/c7hYXpLFksLext3jzyeRs5JiGUThMjIcW3CD3Y3MEhX8zH9OkFACxb1u3wANL9470/fgFbl5MF88fz0IPXoNFoKCmRFotPhlgEYpFFOiF0aklT4mCiUwTicLgoO14PSGIhgPHjs8nOTsbhcNHQaCE+Pibowuc8n7thOIpA0vtY6JaFBhs3Hebfr38BwDdWn4tGI91LpaYa+dtT3+Yvj9/mN0GN4gQywBhR/g3n5qQo82IAGRkmCgvT8XpFdu856Zf2BIuODjvPPf8xIDmtJJzyuU5FEAQMhvARMa+6aB6CILBr14mwOq6bm61UV7cgCAIzZxQO+XXf+Pp5XH7ZGfzsp9fx4x9diV4fPn0NkDx1Glq9gcYTx6k7egRDiiwCCe28sLOri/qjUpHJYE4gDp+Lhj4lhgXXXsf8q69h1Y/u44qf/QJ9bHgVuE1auoxYo5H2xkZO7tiOPiU8nFe8Hg/VB/YDUDB7YBGI3FadUc+si1ex8Cs3sPyu73H9b39PrDF8BE4qKioq/mTIV295Yjw1tXvhQaPRcN9993Hffff5pTEWi6XHe5w8eZL6+npWrlypbBMTE8M555zD5s2b+da3vsXOnTtxuVw9tsnNzWXGjBls3ryZCy+8kC1btmAymVi4cKGyzaJFizCZTGzevJnJk3vbxjkcDhynTJZardICtsvlwuXy/0RtuBAfL0VqWC22qPyc8mcKxGerqZEqtDOzTP3u32SSJv9aWtsjrn8//1yyM1yyeBIFBWm8/MomHv7tm4DIU0+vp67OTGJCLPfffyWTJuaQlBRHXJwBj9dLa2sHzU3tmM0dTJmSF5DPHuOrFu60OSKub+VJ6Ly8lIC2PZDHf3KydGw3N1lD0v/HfZNaRYXpEff9qwSHQB7//kB2sGlr6+i3jbU+e/XMzKSw/RyRxjVXL+S1f2/myJEatmw9yhkLxnPwUBVHj9Vi0Ou46KLZEd/Xwzn2hThpEttldQbkc8+8+BK+ePGfmKurOfDxR0w9/wJaKis5sf1LEARmXXoZXfukxSBdmiHi+35QYn393RGY/p583vl8/tyzWBvq2fXO28y78io6Wlo4/MkGAGZfdgVdtVJ/66O0v4N17o/GvotWFCeQYIlAfAvcpqTIEiCMhNxcSQTS2GTF5XKPaLGovqENt9uDwaAjK9PEksWTAEnoYDZ3DDuq4oMPdvH+GqnI6MwIi3eT42BaBxCBtLV1KguNssPD0qVTeez/vcf+/RVUVDZx//0v0trawcQJOTz8m5uU76WkOJOdO09QHmonEJ9LanJy6H4jGVEeB1NWVo/b7SE5OV6JLhYEgWVLp/K6T/h87rnTiY01BLVdsruh7HYYDjS3SMdAWnrvxcAFC8ZjMOhobJTmrvPyUjn//Jk9tomLMzB37ji/tcekxMH07wRy8qT0Gz41CkZmwfzxVFY2s3PXcc452z/uJMHgpZc/o63NRmFhOpdduiDUzRky2dnJLFgwnu3by1jzwU5uv21FqJsEwN695QBMmJCtFJ8MhaSkOH5y/1UBatXo0cbGMmnZMg5v+Jh9a97n7Ou+DYRelFBz8CBej4ekzCxM2dkDbitHk8SkxmKIi+OiH94bjCaOCF1MDDNWXMiON99g35r3WXWXJLgItfNK44njODo6MMTHkzV+woDbym01pMai1etZftf3gtFEFRUVlZAyrFF5IKvDRFHknnvuYenSpcyYMQOA+nppUS8rq+eNbFZWFhUVFco2BoOBlJSUXtvIr6+vryczM5PTyczMVLY5nYcffphf/vKXvR5ft24d8fHRO4HT3CKpy1taLaxZsybErQkccqSRP/lis1SB43K299t3NdXS8Xbk8PGI69+1ayVVbWKig9wcJ0VFSVRUWPn5L/4NQLIphmuvmURH+0l27eq/ymDbthMBaV9dnTQ51hqBx+6xUunYqa4+xpo1dQF/v0Ac/xUV0sRNWVllSPp/+w5JZd/eXh9x379KcAnE8e8POjraANi2bSduV02f21RWSpWsZaUHaLdGVjVXODNjRho7d9bzpz+/xY03TOPd98oAmDQ5mc1ffBbi1vmPoRz7ce5YJlJIV3MnH727HqfW/wvbSTNnYf9iE+ueepITXXbqNkhVfsZx49myazfTzRPQoGHLoW04j0b3wrrBo2cKJTgtDja88zF2nf8nLBNmzMTaUM9nzz9HnVZH07YteD0e4nPz2FVaxrS2cejQsbNsN7by0Fv5BopAn/tttv4XZ1TCC8UJJFhxMNaxEweTkpJIbKweu91FQ4OFfF+V/3CorGwGoKAgHY1GQ0aGiYkTcygtrWPrtlJWXTR3yPvaveckD/9OisP6+upzOCvC4t0yMyVhQmVV/wvkh30uIIWF6crCXk52ChMn5FBaVscd33qK9vYusrOT+eMfv0FCQndVseygeOJkeIhATCGNg5FFINHpBHL4iHScTJ2S32Ne91QRyEUr5wS9XXk+d8Oa2vARgchOIH1FXsTGGpg/fzxbfPFUq792juKUGyhkFym73YXD4SImRt9rm4FEIPPnj+fNt7axc8fxgLbTnzQ0tPHqa5LTyne/c1HA+9jfXHrJfEkEsmYXt95yQVi4Sg43CiaSmHnRKg5v+JiD69dzzi3fAcBlcSB6vAgh6vuqfXsAyZVisLU0WbAiR6uEO7MuvoQdb77B0Y2fs/L7kmDF0+XB0+VGGxcap5iqvZJLef6MmWh0A7fB2RJZ/a2ioqLiD4Z1dp40adKgF6/W1pHZnd11113s27ePTZs29Xru9PcURXHQdpy+TV/bD7SfBx54gHvuuUf522q1UlBQwMqVK0lKShrwvSOZ1tYOnn1uHw6HlwsvvCgsblb9icvlYv369axYsQK9vvfgaTQcOPg2UMP8+TO4+OJz+9wmLv4g6z+uIDYuiYsvvtiv7x9IGpss/O4P2xAEgTtuv4aUlESWLjuXO771NA0NFmbOLOTXv7ohpDm+FZVN/POlg4iiJqL61tbl4Hd/2AbADV+5fFiq/OESyOM/L7+Ct98pQ0Qfkv5/7h+S3fFll13ADJ8VsorKqQTy+PcHBw+9w9FjrRQUjOvzGmK3O5VzxbXXXYoxMfpt5YPFgjMsfPXGP1FV1U5CQjHHSncA8L27rmHy5NwQt270DOfYFz0iDe9XghWmdY0n7dwcYjL9e6zZly3jqa9ej6O5ieIYA6VHpfP3RXd8m9ySmTStrUYTo+GCS5dHfTyJKIo0rq3G1eJgsq2YtLOzic31772U64IL+NuunXSaW8kTRMqPSP19/i23MunMs6l/uxI0cM4l5yFoo6+/g3Xul10jVcIf2Qmkvr4Nu90Z8Mp3q1UqshgLTiCCIJCTncLJ8kZq61pHJAKpqpJFIN2vXbJ4MqWldWzecmTIIpDq6hYeePAl3G4P5507gztuD49q7OEgL9bt3Hm837krOQpm2tSe459ly6ZSWlZHe3sXSUlxPPrIzYrbhUxxsVQoNRQnkCef+pA2Syc/ue8qv1+bwyEOJt3n+iC7QEQbslhIjoKRmTOnhFkzi9DpNH51rxgq+XnhFQfjdLqVc3Z6Wt/zvkvPmsKWLUfJyEjioguHLkobKQkJMWg0Al6viLW9i4y+RCC+33Bf0bjz541DEAROljfS0tLep7gl3Pj7sx/hdLqZPbuYZUunhro5w+bsZdMwJsbS0Ghhx87jLDwz9C5Ue/aUAzBnVnFI2xEICufOIykrC2tDAyd2fEGioQiv04uzzUlMWmjiVCr37gGgYNbA0STQ7QRiSA2v6Jf+yJ40icwJE2ksK+XQJx+RbZyDu92F0+wgLkQiEKW/B4mCgZ5OICoqKipjhWGdnX/5y19iMpn83oi7776bd955h88//5z8/O5BSbbPMqu+vp6cnBzl8cbGRsUdJDs7G6fTidls7uEG0tjYyJIlS5RtGhoaer1vU1NTL5cRmZiYGGJieqsC9Xp9WC4e+YvUVGlAIIoiTqeHpKToVEYG4ntsbJQmDPLy0vrdtzzx0tbWGVHH0ZdfSlUD06cXkJkp/c4y0pN5+slvs3vPSc47d0bIczhNSdKkUVeXE51OFzELR/UnpAF7cnICqanBEZgF4vjPykwGwNzaEfRju6PDTlOT9PubMD4non5bKsEnXK/jcvWjzebss301NVIUTEJCDKkp0StGDQV5uemsWjWXd9/dwa9/8x/cbg8zZhQyY0ZRqJvmV4Z07Osh9+Ji6j+qwtlsp/njWjLOziWh2H/HnD41lflXXc2Wl1/iwz/+HrfTSVphIRMXLcJ6WDrOYzPjMRiCa0keKnIuLKLxk2rsdTaaP6kjfUkOxknJftu/Xq9n4Q1fZcOTf2HDE4/jdjpJSE1lxgXLsVVI1dcx6XEYgmwBH2wCfe4Px+uKSt8kJydgMsVjsdiorGpm0sTAiv3kBe6kMSACAcjJ9YlAas0jen2lz6GlsCBDeWzJkim88M9P+XJbKW63Z9Cq8I4OOz/68QtYrV1MnZrPT//nWjSayCtumTmjiJgYPS0t7Zw42cD4cb0t5Q8dqgJg2rSei/tnnz2N557fgMGg4/e//TrFRb2dcUt8IpC6OjNdXU7i4vq+DthsDl58SXJG++pXliriEX9hluNgQuiWIy+Mm82dQzrGIg3FCeQ0EYhOp+WpJ78ViiYB3XEwNTWtQyr2CzQtrZILiF6vVRw4TueSi+fT2GjhrCVTgjIHptFoSEqKo63NhtVq6yXmEkWx2wmkDxFIUlI8kybmcPRYLTt3HmdlCBxfhsPxE/V88MFuAO6+c1XIj4mREBOjZ+XKOfznza289/6OkItArNYujp+Q1kSi0QlEo9Uya9UlbPrHc+xd8z7nrbwHe70Np9keEhGIx+Wi5qAUp144e06f24geL50V7bQfbcNjcwNgSImM9RdBEJhzySWs+9P/Y+/771H4tUU+EYidOD8XMwwFURSp2ic5gfTb314RW5XU393OK6oIREVFZewwrJHwDTfcwDe+8Y0B/w0HURS56667ePPNN9mwYQMlJSU9ni8pKSE7O7uHfa/T6eSzzz5TBB7z589Hr9f32Kauro4DBw4o2yxevBiLxcKXX36pbLNt2zYsFouyjYqEXq8j3jf4lxXwKkOjvl6a6MrOSu53G7m6xWzuDEaT/MamL6SojaWnWehmZpq4cOWckAtAAOLjpRtmj8eL0+kOcWuGToXP8liuSoxU5IkzW5cTmy24+Zty5UtGRlJAnVRUVAKJfOy2t/d97a2rk64xOdkpfT6vMjpW33QOGo2gXD+uvXpRiFsUOrRxOnIuKiK+IBHRI9L4SQ3tpW1+fY8zr78BncGA2+kEYP5V1yBoNNgbpePf3+4j4Yw2Rkv2ikISx5tAhOYv6rAc8K8t+rwrryTWaFT6e+7lV6LV63HI/Z0xdvpbRQVOiYSpCHwkjLVdEoGYxkAcDEBujnSfUls7ssp+eWxUWJiuPDZtaj6JibG0d9iH5Fqx4ZP9VFY1k5lp4ve/XR1wt5dAYTDomONbsNvRR5SDKIrdTiDTejqBTJqYyx9+93WefurbzJrVt6g1OTmBlBRpfqK8ov9+raruviadONm7uGq0yEIpUwidQEymeEX4IceBhCsdHXZuvvUJnnzqwyFt39lpp6JC+l2dLgIJNTk5KQiCgM3mUGKBQkmLLw4oNdXYr/jAYNDxrTtWMmNGYdDalWSUrh9WS+/ouY4OFx0ddrRaTY/z5qnMnz8egJ27AhPN7E+eeeYjRFHkvHNn9DqvRRKy2GbHDsnJKZTs31+BKIoU5KdFhBPMSJixYiUAFXt2ozNJwmx5sT/Y1B09gtvhIM5kIr24uNfz1sOtVL5WRtNntdjrbSBA0tQUNIbIER9OXy71d0PpMQTf7W2o+ttcXU1naytavZ7cKb2dg9rLLFS9Xkbjhhq6aqTrTML4JHQJoV/HUFFRUQkWQxaBBEJ9e+edd/LSSy/xyiuvYDQaqa+vp76+nq6uLuU9f/CDH/Cb3/yGt956iwMHDnDzzTcTHx/PjTfeCIDJZOKb3/wm9957Lx9//DG7d+/ma1/7GjNnzmT58uUATJ06lYsuuojbb7+drVu3snXrVm6//XYuvfRSJk+e7PfPFekYfVVK1n4WolR6I4oiDY0WALIGEIGkpCQC0iKf2+0JRtNGTVeXk507pUmncM5RPrVyqTPIIoTRoFS79TNgjxTi42OU76C1tSOo710+gP2pikqkkGSUKhH6u/bWyULDHFUEEgjy89NYfsEsAFJTEznvvBkhblFo0eg1ZJ6fj3FKMgDmnY2I3uFPYLaXtvUpaEhMTWXOZZcDYIiLZ9aqixFFsVuUMIZEIACCViB9WQ6mWZItunl3E16Xd9j76Sy3Yt7T1GuyOSY+gTOuux6QquXmXXEFgNLfsWOsv1VUZPF1pU9wEEjGnBNIjlTZL4tXh4scB1NY0D020mo1SlyHxdp7EfR05GiJs5dNjfgFrzMWTADgy+1lvZ6rqW3FYrGh12uZML63S8hZZ01h8qSBnW5kN5Dyk/2LQKqrun8nJ04EQAQSBk4gGo1GOVaam8NbBLJ3XznHjtXyyr82Yh3C7+HI0RpEUSQrK5lU33xUuBAToyczQ3K2qA6DSJgW3zxGepidN4w+V5K+CvWamqVjID8/jZg+omIAFvhEIDt29haThROHDlfz2eeH0GgEbr9teaibMyomTcxBoxGwWGxBnx87nT17ywEp/ilaSS0owBAfj9ftxiVK1xSnOTTzwlV7JVeKglmze62leV1eWr5swOvwoI3XkTwnnYLrJpC2qPc1PJyJT07G5HPs77JLY/1Q9bccBZM7bRq60xz9Ra9I67Z6PDY3mlgtpplp5F87nsyz8yLSZUhFRUVlpAxZBBII5eqTTz6JxWLh3HPPJScnR/n32muvKdvcd999/OAHP+C73/0uCxYsoKamhnXr1mE0dt+UP/bYY1x55ZVcf/31nHXWWcTHx/Puu++i1XarKF9++WVmzpzJypUrWblyJbNmzeLFF1/0+2eKBpKUAcbgA0oVCbO5A6fTjSAIZGb2b5melBSHRiPdaIRDpcNQ2L6jDKfTTU5OSp/2kuGCRqNRRAjBdqIYDRU+EYhckRjJpKZKk0rBrp6SK9JK/GxNrKISTOTFof6cQOrr2wDIyU4OUovGHnfcvoK5c0r43t2XoNerlSGCRiBtYTaaGC2eLg9dtcO7b3G1O2neVEfr9kZc7c5ez5/19ZspOeMMzv/uncQkJODpdEt2uALEpI09UYIgCKTMy0Bn1CO6RWyVw7uWehwemj6vpW13M85me6/nz7z2eiYsXsI5t9+BMT0Dr9OjTNaNNdGNikpQnUAUEcjY+J0pTiAjEIHYbA4l4vF0gfxgjmmn0tDQBkB2VuQLZ884QxKB7NlzEperp9vloUOSC8ikibkjduaUo11ODCACqTxVBOJnJ5Bdu050L7ynhzbuUBYaNTdbQ9qOwZBFKh6Pl88+PzTo9ocP1wCSo0440h0J418XtJHQ0iJ99+EmHpOdpPoqFmhulh4baK5u1qwitFoNdXXmEbs0BYO//V1y+L5w5Ry/x04Fm5gYPXm50rF9MgAOSsPh2LFagKC61wQbQRDI8LnLW6x1ALjMvcdDwaD+2FEA8qf3LipxNNrAC9oEHQXXTSBlbga6hMiMlMwolvq7tbkSAFebY0RFI6NloP52ttrxOr0Ieg0F100gdUEmemNkusOpqKiojIYhi0C8Xi+Zmf69CRNFsc9/N998s7KNIAj84he/oK6uDrvdzmeffcaMGT1P7LGxsTz++OO0tLRgs9l49913KSjoaRuXmprKSy+9hNVqxWq18tJLL5GcnOzXzxMtJA2gMlfpG9kFJC3NOODCkUajUQZwkRIJ84UvCuass6aEvVJWjoSJJBGIXIEYDSKQtFRpskTO0g0WcuVaSUlkTxSojG0GjYPxOYHkqE4gASM3N5W/PHE7K1fMDnVTwgZBI5A4TlqU6ThuGdZrO0q7t3dZeotAElNTufHRPzH/yqsAlCgYQ2osGv2wEiujBkEQpFgYoKNsmP193ILokSbeXNbe/R1rNPKV3/+RJTetBsDhE4roEvXo4iNz8lFFZaTITiCyGDuQyM4VprHiBJIr3afU1Q1/oVGOHUlOju/lnNJ9nzT4oo4snM3KMg27DeHG+PFZJCcn0NXl5OChqh7PHfL9PXXayBf3ZSfFgWJ2qqpOiYPxoxNIa2s7P//la4iiyMUXzwv5wrvs/tAc5nEwslAB4KOP9w26/b79FUD4RcHI5OVJLmg14eAE4vvuQ30sno4cB2PpIw5GdgIZN65/EUh8fAwzpktz5OHqBrJ7z0m+/LIUrVbDrbdcEOrm+AX5OzkeAAel4VBVHT1zjgORUTIOgKaaUgA8XR48XcGPCm+tlgSaaUW9o9i66qXfa1x2AoImvOfXByNjnNTfDZVHEXQCokfscwwaaFqrpXuhtMLe/W339XdsVhwa3dicX1BRUVGBYYhAVMYOygSL6gQyZBobpYG4bGU5EHIkTCQ4gXi9Xr7YLIlAloZxFIxMpDmBeL1eRQQS6XEwAKlp0rEdbLvLk3IcTIRXi6iMbeRrb38CzPq6NgCyVScQlSAjixJsFe14nUOLshO9Iu2lbcrfQ5kQ6qqVrh2xWWOjWr4/5P7uquvEbXMN6TWiKNJ+tE35e0j9XSP1d8wY72+VsYl8311Z2YzXO/zopaHi9XoV0YIphFEXwSTXFwfT1mYb9phMicks6L1Q1T1HMQwnkOzIF85qNBrOWCBFOWw/JRJGFEXF4n/6tIK+Xjok5PHTyQFFIN1OIDU1rTgcQ7s2DYTX6+WXv3qdlpZ2SoozufeHl496n6NFdiIJdyeQU103d+48Tqu5/7F3ZWUzm33zOYsWTgx420ZCtxNI6EUgsgBIdoUJFxQnkD7maBUnkAFEIADz5UiYHaEXgXR1OSktrcPjka6/oijyt7+tA+DyyxYox0SkI38n/nZQGg5Op5uGBklYnp8fHf3aH7IoofFkGbokaW442BEloihirpFEICl5vYV39jqfKCEn8u8JFdHNiRMYUqRoY2dr8OfizdWS21VKfu/+PlV0o6KiojKWUUUgKr2QVeZ9WQ2q9E1jYxsAmUOoNkpOlm4+zAMM1sOFI0dqaG3tID4+hrkRkB/Z7QQSfPXxSKira8PhcKHTaaOiul+ungpmHExHh51GnxNPpFuGqoxthuwEEgULGiqRhSE9Fr3JgOgR6awY2vm9q6ZDinbx4R5ElCB6RWyV0n1RfGF4TbwHG32SQYpnEaHz+NAWohxNdlxt3ZNug4lARLH7u0wY4/3tbx555BHOOOMMjEYjmZmZXHnllRw9elR53uVycf/99zNz5kwSEhLIzc3l61//OrW1tT3243A4uPvuu0lPTychIYHLL7+cal9loYzZbGb16tWYTCZMJhOrV6+mra0tGB8z4snJSUGn0+JwuBRHx0DQ0WFXYnXHShxMYmKsck9TN8xIGFkcX1DQWxyviGXbBy5Ucbs9NPkW8aPBCQTgjAVSJMz2UxZvP994mGPHajEYdMyfN27E+5adFOvqzNjtfV875CpykCJI5O9pNPzzxc/Yvr2MmBg9v/rfryrFHKFEFoE0hbkIpKm5+17M6xX59NMD/W77zxc/xesVWXrWFCZMyAlC64ZPvs8JpDos4mDC1AmkH7dmr9c7ZBHIAp+YbMfOsoCKHwfD4/Hyg3ue4xu3PM5lVzzMb3/3Fi++9Dl791VgMOi4+Rvnhaxt/kaO6PGng9Jwqa1rRRRF4uNjlILEaCWjRDrGJVGCNDfsbA1uJIytrQ1HZycIAim5uT2e87q8OHy/19jsKBCB+EQ3TSdPoJf7O8gRPB6XC0tDPQCp+T0FsaJX7HYCiQLRjYqKispoUEUgKr1Q42CGT7cTyOATTSkpPhFIBDiBvPraFwAsXjxpwJibcCE+PrKcQGT71unTC9DptCFuzehJTQ2+CES2Ls7ISFImh1VUIhH5+HU4XDidPW1LHQ6X4rATDYIxlchiJBEl7cfaANDGSde2wUQJ9sYuvA4PGoOG2Cx1kkbp7yFG8LQfkxZa5f4eTHTjanPibnchaAXi8tTKKH/yxRdfcOedd7J161bWr1+P2+1m5cqVdHZK9/02m41du3bx05/+lF27dvHmm29y7NgxLr+8ZxX8D37wA9566y1effVVNm3aREdHB5deeikeT7cbz4033siePXtYu3Yta9euZc+ePaxevTqonzdS0em0FORLC48VFYGLhJGt++PjDBExlvIXub57ldphikBkx4m+HBKTBhHLyjQ1W/F6RfR6Lamp0bHgtcAnAjl8uJqODjsul5u//PUDAG74ylJFvDASUlISSU6ORxTFPn8LFotNmReaMiUPGH1V++7dJ3jm2Y8AuPeeywddvA4W8j12ODhSDIQ81p49uxiAjz/e3+d21TUtfLhuDwA333x+MJo2IrqdQMJABNIcpiIQxTGypwiurq4Nt9uLQa8jL3dgl4cZ0wuJj4+hrc3G0WO1A24bSP716ib2768EJHfkd97dzlNPfwjANVcvImMIc6qRgnxuO3miQRGEBptqX5xXfn5a2Md7jxZZlNBaU40uSbrncrQEV5Rg9gm2kzIz0cXE9HjO3mgDUYri1BtDL3wcLemFRQgaDV1WK6JBmr9yBrm/2+pqEb1e9HFxJKT2PAc6W+2ILi+CXoMhNTao7VJRUVEJN1QRiEov5PzdvqwGVfpGcQLJHIoIRJqMMpvDWwRy9FitIlJY/bVzQtyaodHtBBL+IhCv18t77+8A4LJLF4S4Nf5BnixpCWIcjGxdrLqAqEQ6iYkxysTM6Qsc9T5b8/j4GFXspBISEnyiBHu9DXfHwDbwbpsLW5V0HUieLS3kudoHfo3N50oRX2CM+Hxkf5BQkgQaAafZgWOQCjav00PnSUmMPNT+ll1AYnMS0OgjX4QaTrz55pvcfPPNTJ8+ndmzZ/P8889TWVnJzp07ATCZTKxfv57rr7+eyZMns2jRIh5//HF27txJZaW0KGKxWHj22Wd55JFHWL58OXPnzuWll15i//79fPSRtHB6+PBh1q5dyzPPPMPixYtZvHgxf//733nvvfd6OI+o9E9RkRQ5EkgRiLx4njRGomBkcnJ9IpDa4S2md8dk9h8HM5hbaX19GyCNyzWa6Jjuys5OprAgHY/Hy67dJ3jjP1uprm4hLc3I6tWjH6fL46gTJ3tHwlT6hDlZmSamTpGs1kdb1f7U39bh9Yqsumgul1w8b1T78ieFBXJMVODOCf5AFoFcd+1iAPbsLe/TveTFFz/D4/GyeNEkpk3tbZMfLuT5nEDM5k46QzyPoziBpIaZCKSfOJiTvt9sYVH6oEVFOp2WBb5ImG3bSgPQysE5ebKBvz+zHoD7fnwlf3rsVq66ciHpaUZyc1L42k1nh6RdgaKgQPpebF1OZTwfbGSHnfwoidgZiISUFOJNySCKdLnbAOg8YaV1RyOiNzginFZfFEzqQFEwUeACAqCLiSHVF8HSYZPuC7pqOmneUofoCVJ/V3dH75wucjq1v9X5BRUVlbHO2ClHURkyshPIYFU2Kt00NvmcQIYiApHjYNrCOw7mqackNf7KFbOZNDF3kK3Dg/g4SQTS1RX+cTC795ykpqaV+PgYzjt3Rqib4xfkarvWIDqByBMfstWmikqkotFoSEyIob3DTnt7V48KNNlOPTs7OeoreFTCE32intjseOz1NjpOWEie1btKW6aj1AIixGTGEV9opGVrA+52J6JX7HMCRhRFbJU+EUhRdFRtjxZtjJb4gkRsFe10lFmIObP/6qWOk1ZEt4jeZCBxQjItWxvwOjx4HB60MX0vCMj9naD2d8CxWCQ3l9TU/iffLRYLgiCQnJwMwM6dO3G5XKxcuVLZJjc3lxkzZrB582YuvPBCtmzZgslkYuHChco2ixYtwmQysXnzZiZPntzrfRwOBw5H9wKb1SqNX1wuFy7XwMKhaCQ/X/pOTpY3BOzzt7ZKfZxkjAtoH8v7DpfvMdsXw1JT0zLkNomiSIVv8T03x9TrdbLjo9ViG3CftbXSgldWZu99RDLz5pVQWdXMuvV7+HJbGQDfvOU8DHrNqD9nUWEGe/aUc+JEHS5Xz3Fpuc/1Iz8/jaIi6dpfdrxuxO8piqIiIvnK9Utwu92DvGJg/Hns5+RIx63Z3Emr2YoxMfyE116vVxEqTJ6cw/TpBRw8WMVHH+3l2msWKdvV1ZtZ88EuAL72tbPD+rcQE6PFlBSPxWqjsqKRCROyQ9IOj8dLqy+y2WSKDas+S/Cd/yynnf/KjtcBUFyUPqT2Llgwjs83HmLL1qPcdOPSwDS2H9weD7/6vzdwuTwsWjiRi1fNQRAE5swp4gffv1jZLpz63R8UFqZz4kQDpcdqSU8L/n23LGrLzU2Jur7t6/yfVlKMbc8emppLyZ+6gI7DbVj2t2BvspG6NBttbGDF782VFQCYcnN79XdXnXR+0WfERM13kVZcQktlJfU1R5k8eznWva20H2nD0dxF2tk5aOMDu+zY7BPQJ/fR3zZffxuiqL9PJVj3/tHYdyoqYxFVBKLSi6HEwTQ1WYiJMYyZbOPBaPRlSWcNQwTSFsZxMDt3HWfbl6VotRpuv21FqJszZCLJCeTd96SK0BXLZ4VFBrI/kCtmgukE0tQs/fays5OD9p4qKoHCaIxTRCCnUu8TgeRkq1EwKqEjcbxJEoGUWTDN7NtSWBRF2kvbADBOSkYbr0PQCogeEXeHC31S7+ud0+zA3SFHk6iiBJnE8SZsFe10nrCQuiCz3womOXrHOCkZjV6DNl6Hx+bGbXWizeh9n+7ucClWvfEF4VXpGm2Iosg999zD0qVLmTGjb8Gv3W7nJz/5CTfeeCNJSVKkQ319PQaDgZSUnuf8rKws6uvrlW0yM3u7oGVmZirbnM7DDz/ML3/5y16Pr1u3jvj46KhKHA5ms7Qwsn37YdasCcyiwIGD0ns4nJ2sWbMmIO9xKuvXrw/4ewyFlhZpkX/P3iOsWTO0atCODiddXU4EAfbt+5JDh3q6eJSVSfdC1dX1A/bl5i01ADhd7UHp82AhCG0AbNhwAIDMzHhEceC+GCqdnZKoftuXB8jP6znZ//nGKgC83g4aG04AcOhQxYjf12Zz0dkpjdX37/+Sw4f949bir2M/MUFPR6eLf7/2Ljk54XdP0tnpwuPxArBt60ayszQcPAhvvrmR+Lhu550P153E4/FSXJREZcV+Kiv6jowJF+ITBCxWePe9j5g8KTSOBR0dTrw+t4CtWzeiCaPK8bp6aX6lobG1x29v61ZJEOZyWYb0m+zskO7/Dhyo5K233iEmJnhLAlu31XLkSA0xMVrmzU3kgw8+CNp7h5KYGEno9sHazzGby4L+/nv2SO5wLS01UXVNPJVTz/+dgnRN+XLDx1Se48WUkEh+ZzaO+i4q3jzGycQaHLrAFQ1Wbd8OQEN7z3sQjSgw3TwBAYHNh7biOjo6AWS4YHZJn2P3xs9pSkjEmJhAQWc2NDuofKuMcmMtXbrARcTUfiFF2LfaHT2PbxGmt41Hi5YdZbvoKg//NYKREuh7f5tNTQlQUYkGVBGISi+SjD6rwfa+T/TNzVa+euNj5Bek8/yzd475qmSv10uTzwlkKPmV4R4HI4oiTz4puYBcecWZSkZrJBApIpD29i4+/VSawIuWKBiAtHRpMcls7sDr9QbFglkWU8niKhWVSMZojIM6cy+rc9k+NicnOfiNUlHxkVBspGVrPS6LE2eLnZj03gIDe50Nd7sLQa8hoTgJQRDQGQ242hy42p19ikDkKJi4vAQ0uuiw7vcH8fmJaGK0eLo8dNV1Et+HQMbRYsfZbAcNJE6Q7kH1RgMemxuX1UlMHyIQ2QUkJisObZw6FAwkd911F/v27WPTpk19Pu9yubjhhhvwer389a9/HXR/oij2GHf1J8Tqb2z2wAMPcM899yh/W61WCgoKWLlypSJAGUuceaaVNR88Sl1dJ3PnLiYnx/9Cy07bFuAE48cVcvHFFw+6/UhxuVysX7+eFStWoNfrA/Y+QyU1rZT1H5Xj9cYM+XPv3nMS2E1OTgqXX35pr+f37a/gP28dQ6MdeJ+HDr8DVLNg/gwuvvi8EX6C8GNZRxdvv/M7ZZH6gZ9cz7y5JX7Zd3bOST76+B902TS9+nbbl/8GalmyZC4XrpzDK68exmJxcO65Fyhj7+Fw4GAVsIuMjKQ+v+fh4u9j/8N1DezZW05B4WRWrpg96v35m7KyemAXyckJXHbZpSxebGXDJ49SU9vBggVnkZycQGlZHQcOSrGz9957LbNmFoW20UNg5y4bdXX7ycoq5uKLg+tQIXOstA7YTWpKIpdeeklI2tAfdXVm/vniQVwuevxGX/v3EwCsWL6EZcumDWlfa9ZWU1XVQlr6RM5eNrXHc263h0OHq9m58wQ7d56g1dzBgvnjOfvsqcyZXTxo5Ex/lJc38uj/ewqAH/7gMlZdNHdE+4lEWlo/5/DhjzHEpAT0PqA//vnSMQBWrTqX2bPC/1wwHPo6/+/xuFm3exdJgqD0t6vNQctn9dAOM2OnkLkycPFY/3z3v1iAxRcsZ+LSZcrj9tpOmjfUoU3UseKylf3vIMI4mhDP21u+IM7tVvrb3e6i5fM6MMNUYQJZqwoCtm70+mef0AosOPtsZp3y+3K22Gn8oBrBoOHcS8+PyjiYYN37y86RKioqkY0686fSi8GcQA4erMLW5eTYsVqqq1soKOjfEnwsYDZ34nZ70GgE0tMHr6hMDnMnkM8+P8ihw9XExRm45ebImjiTbYLDXQSybv1enE4348ZlMTWM83mHS0pyAoIg4PF4abPYSE3xT/VUfX0bKSkJxMT0vrGVxVQpfnovFZVQIufdn+4E0h0HozqBqIQOjUFLfKGRzpNWrIfMZJzdW2BgPSIdq4njk9DoJUGHPkmPq82B2+KEvN77VaJgClVXilMRtAIJJUm0HzFjPWQmLjeh1wRau6+/EwqNaGOlYZ0uSQ8N4LL2XeXWKUfBqP0dUO6++27eeecdPv/8c/Lze9/ruVwurr/+ek6ePMmGDRt6iDCys7NxOp2YzeYebiCNjY0sWbJE2aahoaHXfpuamsjK6jsiLyYmhpiY3ou2er0+LIQDwSYnJ40F88ezfUcZGz45yM3f8P+4R3Y8SE5OCEofh8t3Kc8P1NeZ0el0Q5r8r61tA6Rokr4+Q0qydM7q6LAP+BkbG6XJ6tyc1LDoC3+RmqJn6pR8Dh6qYtmyqSw8c5Lf9j1xQg4AtXVmvF56jLlqaiR3ieLiLNLTTaSnGWluaae62sz06QXDfq+GBsnFsSA/za/fj7+O/cLCDPbsLae21hyWx09bm1SolZGehF6vJycnjdmzi9izp5zbv/UUVmuXIhSaN28c8+dNCGVzh4xyzqhvC1m/WyzS+Cst3Rh2331qqnSP4HC4lN+ow+GiqkqKv5o8OW/IbV60cBJVVVvYseM4F5w/S3n8s88O8uvfvKFct2Rqalp5+53tGI1xzJhe0G+hj0YrcNklC1i6tKewxOVy85uH38Ll8rBkyWQuu/SMMVVIONEXrV1e3hT048rlctPgKyYpLsoMu+PaX5x6/s+eMBGA5vJy5TF9hh7DqiKq3jiOs9GOp8VFbPbQHfBEr0jr9kY0Bg3Js9P7FRSIooi5pgZjUhZJnjwEF+jipTa0N0njsric4NwPBovsib7+rihHp9UiaDToU/XkrCqm6vUy3BYnrjoHCUVDH3eKooh5VxN4IXlu+oBFIm21NcQnpJCqGw92Eb1RWhPo9BXqxmXFY4iJDuft/gj0vX80Ha8qKmMZtdxOpRdJST4nEGsXotjbvrW0rE75/46dx4PWrnClsUnO+jYOSRnf7QQSvMiMoeJ2e3j6b5KV2FeuP4vU1MhaIJCrkTptgbP38wfvvidV5lx26YKoGgDrdFpMJun80erLKh4t5RWNXHPdH/jZL17t83lZTJWsOoGoRAH9ikDq2wA19kgl9CRNl9zBOo5b6KrrKWa1VbUrrh5Jk7sXrmX3D1d772uzq92Js9UBAsQXqGK+00mamgIa6KruUPpWxt5g646CmTq0/vY4PNjrpQUkVXQTGERR5K677uLNN99kw4YNlJT0rtSXBSClpaV89NFHpKWl9Xh+/vz56PX6Hva+dXV1HDhwQBGBLF68GIvFwpdffqlss23bNiwWi7KNyuBceOEcANZ+uLvPce9osVik35t8fzxWkOPrbF1OpQ8GY+++ckBahO8LY1L3PZLX6+13Pw2NbUB03jN961srueCCmdz7w8v9ut+UlESSkuIQRZHyiiblcVEUqapuBqDQt0hfMk4SmZ042VuENhSqq6VF67z8tEG2DA2FhdLnrKxqDnFL+qbFN8ZOS+u+hl90oeSq0NZmw+sVSUyMZfasIr5/d3i5WQxEXp50PMiio1Ag9216WvjdHyUkxKDVStP3Vqt0Ti0vb8Tj9RIbqyMjY+huXgsXSgKybV+WKtc9q7WL3/7+LTo7HZhM8VxwwUx+cv9V/OF3X+fyy84gOTmB9vYutmw9xhebj/T5b+PGwzzw0Mu95oif/8cnHD1Wi9EYx/33XRVV819DYVyJdM6sqGjC7fYE9b0lYZ9IXJyhxzkjmsnw3XdbGxuwd3TPuesS9BgnSq6JbfuGd35vP2rGeqiVtj3NNG6oxuvu+x6ky2LB0dHBwqU346ryUr+2Eo9dikux10vj5uGITyKB1Lx8tHo9rq4uLKfEUWpjtNI4Fqm/h3OP3XmyHcu+FiwHWmhYX4XX2ffvxuN201Zfz/xFN0Gjjvq1lbg7pUg7pb9zoqu/VVRUVEaK6gSi0gt5Ecrt9tDV5exl83n8ePeFffuOMq66cmFQ2xduNPqqWbIyB4+Cge7F6s5OB06nG4MhPH6GDoeLn/7sX1RUNGEyxXPjV5cN/qIwIxLiYI4eq+XYsVr0ei0XrpwT6ub4nbQ0I21tnbS0duCPuqPDh6oRRZFjx+p6Pef1epWJ5ZQUVQSiEvn0JwKp9zmBBMKqXkVlOMRmxGGcnEz70TZaNteTe0UJGp0Gj8ND82bp/jBpeiqG1FjlNTpZlNCHM4WtUpqci82KV5wsVLoxJMdgmpGGZV8LLdsaiMtNQGPQ4nV7ad4kXRcTJ5iIy+6+BsoiEHcf/d1V3QEi6JNj+ozmURk99957L2+88QZvv/02RqORet+EqMlkIi4uDrfbzbXXXsuuXbt477338Hg8yjapqakYDAZMJhPf/OY3uffee0lLSyM1NZUf/ehHzJw5k+XLlwMwdepULrroIm6//XaefvppAO644w4uvfRSJk+eHJoPH4Gcc/Y0/vBHPZWVzRw5WsPUKf516LP4FuvkIouxQkyMXnGMqK0zDyrWPniwinXr9gJw/nkz+twmyXeP5PWK2GxOEhNje20jiiL1PuFsVlbyyD9AmLJg/ngWzB/v9/0KgkBJSRZ795Zz4kQDkydJlevNzVbsdhdarUa5Bx03Lovt28s4cWKEIhDfIn9+XpiKQHxiF9lhIdxo7kMEcukl80lNSSQ2zkBxUQZpacaIW2jPy5VExjW1oROBNDdLlePhuFguCAJGYxxtbZ1YrV1kZJgoLZXuAzMz44f1fc+dU4LBoKO+vo2KyiaKizL5xwufYLHYKCnO5IV/3N2juO2ss6bw4x9dwb79FdRU9/+7+GLzET77/BD/89NXeO6ZO8nNTeXAgUr++eKnANz3oyvISB970XM5OcnExuqx213U1LZS1I/QMRDIorv8vLSIOyeMlFijEWNmJu2NjTSfPEn+zJnKc6aZabQfa6OrphNHc1ef0aan43F4MO/uFo3Yqjqo/7CSrOUFaGN6FoGaa6rJyJpAZrYktHJZnDR8VE3m+fk4mu0APcZs0YBGpyOtqJjGslIaT54gOTdXec40LRXrwVaczXbsdTbicgf/7F63F/PORuVve72Nug8qyFpRoLiqyFjq6jAaMykokoSQ7g4X9euqyFlViL1Bmk+LjbL+VlFRURkpqhOISi9iY/Xo9dLNTF+RMGWniEB27jyBx9N/Jc5YQHYCycgc2oDGaIxVVPzhEgnT1eXkvvtfZNMXRzAYdPz8Z9f3ObEW7kSCCOQ9nwvI2cumRaV7hTxp4i8nkFrf4ndra3sv9Xh7u105/0RjX6qMPbpFIHblMafTrUz45qhxMCphQMr8TLRxWlxWJ5b90uRi6/YGPDY3+iQDKfN6Tm7Ktqxuq6vXvtQomMFJnp2OzqjHY3PTulOq0G7b3YTL6kQbryP1zJ7RH92im9793elzE0koUl1XAsWzzz6LxWLh3HPPJScnR/n32muvAVBdXc0777xDdXU1c+bM6bHN5s2blf089thjXHnllVx//fWcddZZxMfH8+6776LVdk84v/zyy8ycOZOVK1eycuVKZs2axYsvvhj0zxzJJCTEssxnXf/hh3uG9dpOm4OODvuA28hj6bEmAgHIyZXuWeoGWdT1eLw88ug7iKLIqovmMnNmUZ/bxcToleKJ08WyMlZrF3a7dO7LHGKBhorEDF+0y+YtR5THZDeM3JwUZVF4vK+qfaQiEHkROS8vdcRtDSQFhbIIZHiVy8FCFiqcGkOs0WhYunQqC+aPJz09KSIXe+XjoaGhDZfLHZI29OWyEk50x3ZL4kLZoTkzY3jXl7g4A7NnFQOwbVspVVXNvPGfLQDcfffFfboba7Ua5s4p4dJLF/T77xc//wpTpuRhtXZx/wMv0drazv/++nW8XpGVK+dwwQWzeu13LKDRaCgZ5XlzpHQ7L4Xn+TZQZJSMA6DxZE9XGr3RQEKJNG/ftn9oQj/Lvma8Dg96k4HsiwrRGDQ4GruoW1OOu6PnWKu1upppM1cBEJeXIG3bJG2LCDqjHl1i9EVrZPrcV5pOnOjxuDZOh3FSMgBte4fmvmI91Iq7w4U2XkfOxUVo47Q4Wx3UvV+By9Jznr+1pru/Y7Pj0cbrcLU5qH2vHNHlRWPQYEjtHYOpoqKiMhZRRSAqvRAEoTsSpr2nfavN5lAsGmNi9LS3dykK9LFKY6PsBJI8pO0FQQirSJiODjs/vOd5tu8oIy7OwKN/vJlFC/2XMRxM4uOkhY9wFYF4PF7WrZeq3C69dEGIWxMY0lKlY7vZTyKQunpJBOJyeXpNtJvbpN+PMTF2SFFMKirhTl9OIHKOb1ycYczZyauEJ9oYLWmLsgHJ3tVyoIWOUuleKH1pTq/cXiWepMOJ6O1eUPHY3dgb5GgSVZTQHxqdhvQlOQC0HzFjOdiK5aB0L56+JLtXFZosuvE6PHgc3fa5XreXrhrpuqmKbgKHxWJBFMVe/26++WYAiouL+3xeFEXOPfdcZT+xsbE8/vjjtLS0YLPZePfddykoKOjxXqmpqbz00ktYrVasVisvvfQSycnJwfuwUYIcCbP+o71Dtmr3er18+ztP89WbHhtw3GEdo3EwADk50qKTLOjuj7ff+ZIjR2tITIzlzu9eNOC28n2StR8RSL1v3JCamkhMTPQttASS886TqqW/+OIIXV2Sk1RVpbRoIwsjQHICgZHHwdTU+irTwzQOJi83Fa1WQ1eXUxFchBPhHFkyGtLSjMTG6vF6Rerq2kLShtZW6R4pXPtWvo5YTheBZA7/+rJw4URAEoE88dcPcLs9LF40aVTzgDExen77m6+RmprI8eP13LT6T1RXt5CZaeLeH1424v1GA+NCJAKpqZHOtwX56YNsGV1k+kQgp4sSAJJnSdceW3k7zraB541dVieWQ777ijOyiMtJkIQJ8TpcbU7q11X2iCrpqGklr3AOoiiStjCbrBWFCDoBd7skFom2KBiZjHG+/j7Zu79NM9JAIzl62BsHjgf0dLlp2ycdsynzM4nNiifnkmJ0Rj3uDhd1p8TrAFgqGygeLznTpy7IJHtlARqDpkd/R6IoUkVFRSUQqCIQlT5J9S3k1tX2nLSRb1rT04yccYYU9rB9R1lwGxdmyCKQ4eRwpvhcC8whdgLxeLzc86N/sG9/BYmJsfzpsVuZN29cSNs0GsLdCaSioon29i7i4gwBsfINB1JTfU4grf4RONWfMnHc0tpTWGI2S78fWVSlohLpKBVepyxuyEKo7KxkdRCrEjbEFxmJK0gEL7Rulyxbk6anEpvVe3JLm6BD0ArgRcnpBbD5okkMqTGKcEGlb+JyE0icIFW1t37ZACIkjjcRX9B7oUKj16CNk6rlT42Esdd1IrpFtAk6DGmR5/amohIoFp45keTkBMzmTnbsOD74C4Dy8iaOH6+npaWd8vLGfrdT4mCMg1uORxu5vviQugFEIGZzB08/vQ6AO25foYwj+sNolM5d/TmB1PtiWrOjMAom0Eydkkdubip2u4vNmyU3kMqq3guIxcWZgCRGGK6raXt7F21t0m8iL0zjYHQ6rXLsyk4o4YQSB5MenkKFkSIIgnJMyAvXwSbc+zbJ6CvUs3YhiiJlZZJD83CdQKBbBLJ9RxkbNx5Gq9Vw910Xj7qNmZkmHv6/m9DrtUps7/88eI0i4BurKOK5IItA5FircBXdBYqBRAmGlFil+MAyiBtI685G8IrE5SYQl5+gvD73kmJJCGJx0rSpTnGNMtika4ddY0ZvMhCbGUfmefngm8KJy4lO9+KMEmluuy/RjS5RT+J4aQwrCzz6w7y7CdHlxZAeS+J4aX1FbzSQe0kxepMBj81N46c1SlGJ0GpAo9HR5TETkxGHISWWrOUF0rwDahSMioqKyqmoIhCVPpkxvRCAPXvLezwuR8GMH5+tLGIPdbIsWul2Ahm65Wxyik8EYg6tCGT37hMcOFBJfHwMj//5NmbMKAxpe0ZLtwjEOciWoeHI0RoAJk3KVSKBoo20NGlA1eLnOBgA82nCEnniUY2CUYkW5EUiuXIYUKrhsnPUKBiV8EEQBNIXZSPopEkWXR8xMKduqzNKFdmuU0QJXVU+V4o+hAwqvUk9IxONz/VDG6cjdWFWv9vqknz93d7d37ZT+lsVlKmodKPTaVm+XLKpX7tuz5Bes3dfufL/6pr+407GshOIvJBeW2fG4XDx0cf7eOh/XuFXv36d/7y5lSNHavjLk2tp77AzaVIuV125cNB9youg/YpAfMLZLFUEMmwEQeCC8yU3kI837AegutrnBFLQvYAYHx+jfLcnh+kGIjvKpqYmkhAfvhbtsvNJZWUYikCaZSeQoRcgRQp5uZJ7UM0gEVKBojsOJjz7tjsOpov6hjY6OuzodFrS04cvsBhXkkVGRpISrXvVlWcqAq/RMnNmET+57yri4gzcesv5LFgwwS/7jWRG66A0Uqp9gqr8MI3fChSKCKQPUQJA8izpHN9x3NJjrHQq9nobtvJ2ECD1zMweYyddop7M8/NBA7aKdiwHWnF1uEiJl+bTtbndzpfx+YlkrSjANCOVhOLwPLeMFrm/Wyor8Lh7x3klz0wHQRr7O1r7jlF0ttppP9YGQNoZWT36WxunI/P8fASdgL3OhnlnEx67myR9PgCe5O51ldiseLIvLCRpWqoSRaOioqKioopAVPphzpxiAPbsOdnj8eM+EciECdmcsUASgezdV47D0Tt3PBJxuz3Dzn5tbJJsQoeTO6zEwfjJLWGkrP9oHwArls9i8qTckLbFH8gikK6u8HQCOXy4GoCpU/JD3JLA0e0EMnoRiNvtoamp24b3dHcROU4pJUUVgahEB0VF0iL6wUNVSuWsvKCRk50cqmapqPSJLlFP+pIc9MkxZJ6d2ysG5lTkSBjZmUL0iNhqpAmb+ALVzWkoaGN1ZCzNQW8ykHF2bq8YmFNRInjk/hbFU0Qgan+rqJzORSvnAPD55weH5Ch46hi5v6p1l8uNzRerMRZFIDm5klBg//4KLrviYX7281f55NMDfLB2N488+g633vYX1qzZBcC991w+JIF8X7F5p9IgO4Go90wj4oILJBHI5i1H6bQ5FCeMwoKeUQIlI4w2kBck88J8QbKwQLofDzcnEFEUlTF2uLpVjAZZhPDPFz/j+In6oL63KIphH7WTJMfBWGxKJHdRYfqIiosEQWDhmZIbiDExlm/eutx/DQVWrZrH2jX/w23f9O9+IxVZBFJd3RK0uXO320N9fRsA+QVjKw4mvagYBAFbWxud5t6ispiMOGJzE0CE1h293dxEr0jLl9L1zTgpGUNKbwfF2Iw40hZK8ajmnY00b6xFEDTU1RwkeVx2j23j8xJJPSNLcaiINkxZWRji4vG4XJirq3s9rzcZFAFM67aGXmsuoujrbxHii419xuYYkmPIWCqtWVgOtND4aQ1ajZ7W5goSS3reU8RmxZO2MAuNXl3yVFFRUZFRz4gqfTJnTgkg5Ux2dHQrNU91AikuziQ9zYjT6Wb/gcqgtKuyspn77v8nu3b1regdDR9/vI/zl/+CC1b8gq/c8Ah33f13Hv7dmwMuZnu9XmWRejgiEHkxL5QTC06nm08+PQDAiuWzQ9YOfxIfLy16dHU5hy3mCQZHjkhOIFOm5IW4JYFDnjRp8YPAqanJqlSn9LVP1QlEJdoYPz6bMxZMwOPx8vIrnwNQ55u8yVGdQFTCkMTxJvKvGkdMxsBViDqjLEqQJj7tDTZElxdNrBZDuhpNMlTiC43kXz2euNyBr3vdohupv51mBx6bG0EnRG0etYrKaJg6NZ+C/DTsdheffX5owG1FUezhllnTjxOI1SoJFQRBIDFx7J3n8nIl94iuLicdHXayspL5xtfP5dZbzmfhmRMVQcfVVy1k5hDdKAcTgdQ3qE4go2HihBwKC9JxOt189tlB5djOz++5gDjSqnZlf2EaBSNT6HM+qQozEYjV2oXL5QEgbZDopEjk+usWU1KSSXOzle9+92/sPc2VOJC0t9txOqUKdjkaO9xQHCPbbZSVSSKQCROyB3rJgFxz9SLy89O4994rAiJU1Ot1ft9npJKeZsSYGIvH4w2aw1BdnRmPx0tMjD5shU2BQh8bS0quJBjozw0k9YxMEMBW3k5nRc85/7Y9TThb7GgMGlLm9u10CWCcnCzFdYqScwjAof0fkJIXvfO9fSFoNKQXFwN9R/AApMzPQNAK2OttdJRaejxnPWTGXmdD0AqkLujfkSihJImk6ZLgw17X3d9p+dFbZKmioqLiL1QRiEqfZKQnkZ+fhtcrsm9/BSBNeClOIOOzEQSB+QvkSJiyoLTrib9+wKYvjvCTB1+iutp/WaFlZXX8+jf/we32YLe7qKpuYdfuk7z77g7+9eoX/b7ObO7E7fag0QikDePGesJ4abAm92co2LrtGB0ddjIykpg9uzhk7fAnshOI1ytit4eXO43L5abUN1ifNjV6b1JT/RgHU1vXc1K9txOIKgJRiT6+8fVzAXjv/Z00N1up9zmCqPn2KpGM4kzhs9w91ZVCjSbxP3pjTycQW6XU33E5CQM6tqiojFUEQWDFCkkUv3nLkQG3rasz93Cq629MavFFwRiNsWg0Y+93l52dzK23nM9lly7gz3/6Jv95/Ud8646V3PbN5Tz26C2sXfM/vPv2A9zzw8uGvE+jURLTqE4ggUEQBMUN5OVXPsfj8WIw6MjM7Glhr4hAhusE4vut5OeHtwgkXONgmpul847JFI/BEH0L7KmpRp78yx3MnFlIe4ed7//wOTZtOhyU925pkfrWaIwjJkYflPccLklJvjgsaxdlZd3FeSNl8uQ8/v3qvaxcER0FYeGMIAjKeXO4MVoj5dTz7Vgca2WU+CJhTp7s8/mY1FhMM6VrUcvWerxOSWBnr7fRtk/qu7QlOWjj+j/XCoJA2uJsDKnSPHRLczmdziYMccOPaIp0lAiefkQgemN3dGzr9gbcNkl052y1K24sqWdmKWPY/khdkKkUNLRbG6ir3Y8xo3+hjoqKioqKxNibjVAZMnN8woDdu6WbpoYGi5I7KVvWn+HLd9yx43jA23PyZIMyCOzosPPAQy/T1dV3ft9waG/v4oGHXsbhcLHwzIm89q97+Mvjt7H6a+cA8MXm/geeDY3SRFNamhGdrn9b7tMZ71PsnzjZgNfrHWTrwLB+/V4ALjh/1ogsJMORuDiDMsAZipVzMDlxshGn040xMTbsLXBHg1yV1NFhH7XVZV1dW4+/T3flkZ1A5HglFZVoYO7cEmbMKMTpdPPqa19QJ8fBqE4gKhHMqXEwUjSJdD6Pz1fP34FAd1ocTFe11N9xahSMikq/yGPfw4d6W1mfilydnpAgTfrX1PbjBNIuiUBMSWPXfee2by7ngZ9czYL543sJYQRBKqIYjkBmUCeQetUJZLRccP4sAE6elBZlCgrSe31HJSVSpW55RdOw9t0dBxPeIpDCQmmuq67OjMvlDnFrumn2FVkMp/go0khKiudPj93KWUum4HS6eeChlzl0qCrg79ui9G343ieZTomDOeaLg5k4CicQleAyUgelkSKfbwvCXHQXKAYTJQAkz05Hl2TAY3PTuqMRj8ND4+c1IELiBBOJJUn9vlZGo9OQtbwAV0I72zY9T2pe9Bb8DYQiuunHeQUgaVoqhrRYvE4vrdvq8bq9NH5WA16R+IJEjJOTB30fQSOQeV4eYqqDLZ8/S3JuDsIYFFqrqKioDBf1TKnSL3N9kTB79koiENm1orgoQ7H2WzBfcgI5crRGsbwNFC//ayMA8+aNIzU1kePH6/nd798aVeyH1+vll7/6NzU1reTkpPDLX3yFgoJ05s4dx9duOhutVkN5eVO/FV5NPhFIZsbQo2BAskA1GHR0dTmp9VV5BxObzcGmL6Qqt2hS/guCQFyctPARbiKQw4elCeUpU/KjWomfmBirVCad7twxXOSJXGV/5tOcQNQ4GJUoRBAExQ3krf9uo7lZmpTMVkUgKhGM7hQnEJfFibvdBRqBuDz1/B0I9ElSFavX4cFlceBokqId41URiIpKv8j36LV1Zszm/u9h9+wrB7oXy1ta2vssTLBYpLFxUgBs9scqsgikr3kHh8OluATmqE4gI2bcuCxF5AFQUNB7ATErMxmQFqOHI5KokSvTw7wgIj3NSFycAY/HG5K5mv6QhQrp6YMvTEYysbEGHv7NTSxeNAmPx8uGTw4E/D0jQWCTlCSd/+rqzdT6xIejcQJRCS7jSiQRSKlPwBNoqqojQ3QXKGRRQkNpab/baHQa0s+SfkPtR9toWF+Fp9ONzqgnbVHWkN9Ll6CnvnM/ba3VpIzRaBJZdNNQ1n9/CxqB9LNyQIDO8nbqP6zE1eZEG6clfWnOkOfJtbE6WtxlNDceJ2WMim5UVFRUhosqAlHplzk+EciRIzV0dTkp84lAxp+iNs/MNFFYmI7XK7J7d/+Kz9HS2Ghh3TrJueI737qQX/3vV9FqNaxbv5fX39gy4v0+/49P2Lz5KAaDjt/8302KxSJIk0xz5hQDsOmLvt1AZCeQzMzhiUB0Oi0lxdLkyvGy4EfCbNx0GIfDRUF+GpMn5wb9/QOJHAkTbiKQI0dqAJgyJbrzIQVBUHJ0RxsJU1srTbrJx2hry+lxMNLfqSnqIqJKdLFk8WQmTsyhq0tyTYiJ0ZOiip1UIhhdgg5BK4AX2o9I5/a47Hg0+qG7qKkMHY1eizZO6lvrYZ+gMi0WXXx4WpyrqIQDiYmxFBVJMRCHDvfvBrJ3TzkAy5ZOVRblamp6FwxYrZITSNIYdgLxN0myCKQPJxA5CiYuzqCIRVRGxvILZin/L8hP7/W80RiruKDKwpvB6OpyKgvt4R4HIwgCBQXS567yUyRMc7OV+x94cVRzZnIcTHoYCxX8hU6nVY5D2X0pkHQ7gYSvwCbJKF1L6uvbAMjISFLcQVTCn6nTCgA4cKAyKG7QNRESvxUocqdNA6C+9BguR/9zw3HZCRgnJQPgaOoCATLOyRv2GNVcLd03jlVRQs6UKQCYa2roaO3bIQ8gJi0W0wzpmHQ0Svdy6cty0cYOL+LMXOPr7zEqulFRUVEZLqoIRKVfsrOTyco04fF4OXCgkrLjkmJ5wmlqczkSZuu2YwFry2v//gK328PcOSVMn17A3Dkl3HXnKgAef2INTz29jkafIGOofLB2N889vwGA+358JZMn9RZDLD1rKoDimnE6TU0jE4FAt5hGFtcEk3W+KJgVK2ZHnStFfHyYOoEckW5Sp06NbhEIdFfQjFYEIsdgTJ9WCPR2AmlTnUBUohRBEPjG6nOVv7Ozk6PuXK0ythAEAV2iJEBoL20D1GiSQCO7r8j9rbqAqKgMzrSp0iJNf/EDra3tVFY1IwgCM2cWke+rsK2p6T3hbbGocTD+ZqA4mPoGadyQnaXeM40W2eUGUMQQp6LRaEjxifBbWoc23pOdC4zGuIgQRskOKJV+EoG8+94ONm48zN+e+WjE+4gEtwp/ohSlHa3xSwz0QMh9G84Cm9MFHxMn5oSoJSojYdLEHGJj9bR32CkvH16U1kioVkQg4e28FCiSc3JJTEvH63ZTd/jQgNumLMhUxPMpczOIzRi+kFQWJaSOUVFCnDFJcQOpPrB/wG2T56SjM0rzAknTU4nPG/4YVRbdpOYXDPu1KioqKmMRVQSi0i+CIDBnbnckjBwHc7rl4JLFkwF4590dbPhk4Iv9SLBau3j77S8BuOmms5XHr79uCStXzsHj8fLPFz/lmuv+wEP/8wqffnaAzz4/xLr1e3nvvR1s317WKzLmg7W7+fX/vYEoilx37WIuXjWvz/c+6yxJzbp3b3mfk01yxdFIRCCymOZ4kEUgFouNL7+ULNqWL581yNaRR3yc7AQS2ImC4eBwuDhxQsr+nDI5+gcFaak+EcgQJwX7o95nvztjunRj39raofyWvV6vMrmekqIubKlEH+ecM53CQmniPSdbjYJRiXz0PlGC6JbO46ooIbDojWp/q6gMl6lTpfv0Q4f6dgLZu68CgPHjskhKiiPPF2tRPYATiFqp7T8GEoHI4/KsrORgNikqKSxMZ86cYrRajTIOOx15vHe6U2N/VCvRBJGxIFlUmAFAZZV/RCDynM/Bg1XY7SObp2hpluNgwleo4E+ys5PJ9BWlHTxYGdD3kvs2nAU2svOUzITxqggkktDptEzzuYHs218R0Pdyuz1KlFVfbk5jAUEQyJ85E4Cq/QOvU2hjtGRfVET6slxMs0bmnNJarTpT5M+U1heq9+8bcDuNTkP2hYWkn5VD6oLMAbftj9Yx7ryioqKiMlxUEYjKgMyZLYlAtm0rVaogTncCWbRoEldecSaiKPLL//03O3Ye92sb/vv2NmxdTsaPz2bxoknK44Ig8NOHruX/fn0jc+eU4PF4+eTTAzz40Cs88OBL/OKXr/Gb377J93/4HHd86yl27ZKsN/ftb+R3v38bURS56sqFfP97l/T73vl5aRQXZ+DxePt0OlGcQDKGbxsp92OwnUA++WQ/Ho+XSZNyKS4a2Q1XOCM7gXSGkRNIaWkdHo+XlJQEsrKGLxiKNNLSpIWm1tahTQr2hcvlprFJsryVB8tut0eZ9LVau/B6pYUtdXJdJRrRajV851sXotEInHHGhFA3R0Vl1MjOFAD6ZIMiUlAJDPpT+lsbp8WQFhvC1qioRAbTffechw5X9yoiANiz5yQAs2cXA9026306gShxMGo0ib8Y0AnE5yCYnZ0czCZFLb97eDUvvfh9iov7ni9I8cV/nu7U2B/yb0R2zwl3lDgYP4lATpyUCkLcbs+IF4CbW6SxcTgLFfyJIAjM8Z1r9wQ4EqYlAlxW4uNj0Gq7p/AnqU4gEcesmUUA7A+wCKS+oQ2Px4vBoBszorG+KBiiKAHAkByDcYJpRE5iXe1WuizS2kBKXvQ7P/dHwQxJdDOU/tYbDRgnJSNoht/fXrebtrpaAFLzx25/q6ioqAyHkIpAPv/8cy677DJyc3MRBIH//ve/PZ4XBKHPf3/4wx+Ubc4999xez99www099mM2m1m9ejUmkwmTycTq1atpa2sLwieMfOb6LBgPHa7G6xVJTo7vNTASBIF777mcc8+djsvl4Sc/eZGjR2v88v4Oh4t/v74ZgJtuXNbrhkyr1XDeuTP4yxO38+IL3+PKK85k0qRcpk8vYN68cSxaOInYWD0HD1Vx1/ee4Tvf/TsfrD2JKIpcc/UifnTv5Wg0A/8MzloiRcJ80UckTIMvgiZzBBVHsqNKTU1rwO0tT2XdR1IUzMrls4P2nsEkPl52AgkfEcgR3+9hypT8MWFPnOqrDJMr8kZCQ6MFURQxGHRkZZkwJkqLV7KwRI6CMRrjlExqFZVo45xzprP+w5/z1RuWhropKiqj5lRRQnz+2J2QDBanim7i8hPHxP2HispoGT8+C4NBR3t7l+JccCqyE4i8MJnnW9Dua1urRRaBqGJlfyELajo67Hi93h7PqU4g/sVojFPcMPoizScCGWr8p+yWIwunwh1ZBOIPJxCn001VVfc5YufOEyPaj+IEkjb8AqRIZXaQRCD1DW0AZITxgrkgCD1EhRMmqCKQSEMWgQTaCeRU56XB5rujGdkJpPrAfsTT7hn8iblGmu9NSE0lJn7sRlXnz5JEN3VHj+JyBG4+3trYiNftRqvXY8yIvsJWFRUVlUAQ0ruBzs5OZs+ezRNPPNHn83V1dT3+PffccwiCwDXXXNNju9tvv73Hdk8//XSP52+88Ub27NnD2rVrWbt2LXv27GH16tUB+1zRREFBGqmp3fbR48dn9zmJrNVq+PlPr2fevHHYupz88N5/9FkRNVy+2HyE1tYOsjJNLL9g4OiS8eOzue/HV/KP5+7i709/hyf+fBuPPnIzr7/2I665ehFarYZDhyXLsGuuXsg9P7xsSBPiS32RMFu2HsPt9iiPe71emnxOBSNxAklJSSQ1NRFRFDnpqwwJNGZzB3v3SgOO88+fGZT3DDbhKAI57Dvupk4ZGyrlKb7PuXXbMTyekQ225CiYnJwUBEFQqs3kiBmzr+pMzqNWUYlW4uJUtwSV6KCHCESNJgk4Pfs7fBc1VFTCCb1ex6RJuQDKuFGmo8NOaWkdcIoTiE8EUlPbe9xrtUpuFapjnf+QnUC8XrFX9KfqBBJcZNH/UJ1A5EXJSBGBFPpEIC0t7XR22gHpNz2SOa6KiqYeY2LZoXY4iKJIc8vYioOBbsHdwYNVuFzugLyH2dxBXZ0ZQRCYODE3IO/hL2RRYVycIWKilVS6mTGjEEEQqKlppXWU0ckDIZ9vx2oUjEzWxEnoY2Oxt7fTXBE44Y25ugqA1Py+49PGCsk5uSSkpuF1u6k7cjhg79Pq6++U3Dw0WrUgUEVFRWUohFQEsmrVKn79619z9dVX9/l8dnZ2j39vv/025513HuPGjeuxXXx8fI/tTKbuuIXDhw+zdu1annnmGRYvXszixYv5+9//znvvvcfRo0cD+vmiAUEQFDcQGDh3MiZGz+8e/hqTJuXS1tbJq69tGvX7y5a7y86eNuJq/7Q0I/feczmvvnIPV115JueeU8Ddd60ackXkjBmFmEzxtLd39bDta23twOPxotEII7aNHB/kSJgtW48hiiITJ+ZE7QSZLAIJprvKYBw5IinDp04ZG3mFZ54xAaMxjpaWdvbsPTmifcgZprk5KcApudM+JxCzzwkkJVkVgaioqKhEAoaUGAStgDZeR0ymGo8QaPRJBjQGDRqDhrhc9VqpojJUpk2V7tcPHarq8fj+/RWIokh+fhrp6VIBgLwI19DQ1muBUo6DMalOIH4jJkaPwaADekfC1CtOINEfvRkOyIVCrcN0AsnLjYyF68TEWOUzfvrZQR7+3ZtccdVv+cpXH1HG9kNFjoKRx7WHj1TT0WEf1j7a2+04ndI5JpwjS/xNcXEmJlM8DoeLo0drA/Iehw5Jgr+ionQSE8M7Ok++nowbl9UjGkYlMkhMjGXcuCwgsG4gO30R7UVF/bs5jQW0Oh25U6cBQ4soGSnlO3cCkFZUFLD3iAQEQaBg5tAjYUZK+S5ffxcXB+w9VFRUVKINXagbMFQaGhp4//33eeGFF3o99/LLL/PSSy+RlZXFqlWr+PnPf47RKA2MtmzZgslkYuHChcr2ixYtwmQysXnzZiZPntzn+zkcDhyn2FdZrZLjg8vlwuVy+fOjhT0zZxTw8Yb9AJSUZAz4+Q0GLVddeSa/+/1/qaxsGnVf7d59UmnDaPeVmWnkzu+uZP369bjd7mHZYi88cyLr1u/l842HmDFDUvfW1klVIGmpRkTRi8s1fMeDcSWZbN9exrFjtUE5rjZuPATA4kWTovY4jo2VTmsdHV1h8RltNgflFU0AjJ+QGdI2ye8djDacffZU3n9/F+vW7WHWzMJhv77GN1GYmWnC5XKRnCxNeDQ1WXC5XDQ3S+dkkyk+LL5nlfAnmMe/iko4ETbHvg4yLspHo9fg9rjBM/hLVEZHxoX5IIAHDx7X2OzwYB3/If99qfiNbhFITyeQvfvKAZg9q1h5LDU1kbg4A11dTurq2igs7K667Y6DUUVv/iTJGEdzSzvW9i5yfIvqXq+XRl9Ma3ZWSiibN2ZQ4mBaB3cCcTrdyvcTKU4gIEXCtLZ28H+/+U+Px3fsPK44Xw6FEyckEcjChZPYvqOM6uoW9u4t5yyf4+xQaGmRxr7GxFhiYvRDfl2kIwgCs2YVsXHjYfbsLWfGjOHPKwzGgYOVAEyf5v99+xv5ejJpohoFE6nMmlnI8eP17NtXybnnzPD7/uvqzWzcJLkwXLhyjt/3H2nkz5xJxe5dVO/fz9zLr/D7/rusVg6sXwfAzAsv8vv+I438mbM48tmnVO3fH5D9uxwO9rz7DgAzV14YkPdQUVFRiUYiRgTywgsvYDQae7mG3HTTTZSUlJCdnc2BAwd44IEH2Lt3L+vXrwegvr6ezMzeGWGZmZnU1/fvvvDwww/zy1/+stfj69atIz5+bFXzWH1VTAB1dWWsWVM34PYVldIA//jxGtasWTPi9+3qcnPcN2BuaixjzRr/KaXl42OoxMV1+l63i+IiaRL96DFJBKLXe0f8OTvaJXHA9h2HGEVXDQm328uWLUekP8TmUX034Ux1tTRhe+RIGWvWhH7Bo6rKiiiKGI0Gtm3dGOrmAMM//kdCYoJ03lj/0V4mT9IMu1Jl584yACxt9axZswarVcpj3rFjLwnxZrZvl75nq7Ulao9llcAQjONfRSUcUY99lbFMoI9/m802+EYqEcG06ZLg/1hpLS6XG71eh9frZfNmyUVUjoIBaYEyLzeVsuP1VNe0KCIQURQVJ5AkNQ7Grxh9IpD2U+YoWlo7cLs9aLWaMRWVEUpklwzzEEQgdfVmvF6RuDhDj6jhcGfK5Dz27i1Hq9VwztnT0Bt0fPjhHsrKBp4PO53jJ6R5x3HjsvB4vFRXt7Bz14lhikDkKJjhxxBHOnNml7Bx42H27i3nazed7ff9HzwouT5Nnx7+UQ7jxmWx6YsjzJ83PtRNURkhM2cW8dZ/v2SfT1jqb956axter8j8+eMU15GxTP5MKVa+av/egOx/z3vv4nY4yJwwkYJZswPyHpGE3N/V+/cher0IGv86Fh38aD1dVium7GwmnrXUr/tWUVFRiWYiRgTy3HPPcdNNNxEb29Oe7/bbb1f+P2PGDCZOnMiCBQvYtWsX8+bNA+jT8UEUxQGdIB544AHuuece5W+r1UpBQQErV64kKWlsDby8Xi+bt7Ziszn42k1XKRas/VFXZ+bV147Q0eHmoosuQjPCi/4Xm48COyksSOe66/yj2HW5XKxfv54VK1ag1w+9guKcc+y8v+b3tJrtTJgwh0mTcrF1bQVKmTipkIsvvnhE7Zk4qY73P3gKi8XNqlVDj6gZCdu3l+F0bSc1NZFbbrl2xN9LuNPRuZlNX9SQnp414u/Fn7z27y+Aw8yZMz7k7Rnp8T8SPB4v69c/Qqu5g4yMSSxaNGlYr39/zTNAC+eet5jzzp1OS+vn7NzVQHKK9L0ePfYeUMOsWVO4+OILAvIZVKKLYB7/KirhhHrsq4xlgnX8y66RKpFPXm4qJlM8FouNsuP1TJ2Sz9oP91B2vJ74+BiWLOnpJJqfn0bZ8XrFxQ7Abnfh8rnvqHEw/sVolCrhrafEwdT7YiTT04wjjpBVGR6pvkiSltbB42Cqq6XfRn5eWkDnO/zNrbecz9Sp+cyZXUxmpokvNh+RRCDDjPKVnUDGjcsiKSmOd97dzs5dx4e1j6ZmqZ/HUhSMjCy827evHK/X69d5LI/Hy6HDUnHJ9GnhLwK5/bYVXHTRXIoKx3bMRyQju4kdPVaL3e4kNtbgt307HC7eeXc7ANdes8Rv+41k8qfPAEHAXFNDR2srian+iyTzejzs/O+bAJxxzbURdX0LFNmTJqGLicHe3k5zRQUZJSV+27coiuz4z+sAzL/yajRa9X5PRUVFZahEhAhk48aNHD16lNdee23QbefNm4der6e0tJR58+aRnZ1NQ0NDr+2amprIyupfFRsTE0NMTEyvx/V6/ZicQH/mb99BEIQh3dTk5qah0Qg4XW7a2x0jrlY4cEBS5M+ZU+L3Ph/u95icrGfJ4sl8vvEQD/7Pv3jqr9+ipUWqesnOThlx+yaMz0Wr1WC1dmGxdJGREbgM463bSgE466wpfR7b0YLRKE202u2usPitHjsmTRJNm1oQFu2B4JzH9Ho4/4KZvPHGFj759BDLlk0f1uvlXO/8/HT0ej2Zvt+Gpc2GXq/HapUmftPSksKmX1Uig7F6HVdRUY99lbFMoI9/9bcVPQiCwLSp+WzZeoxDB6soLEjnr0+uBeCWm88jNaWnk0FenrSgIC90A1h8UTA6nZa4OP8t8Kh0i0Da2+3KY5VVkmNgfkHkRI1EOvLvoLPTgcPhGjCiRP5tyL+VSMFojGPliu7K7gnjswGoqGjC6XQPWhwF0Nlpp76+DYDx47Io8rkFlZXVY7HYMA3RKUh2Akkbg043kybmEBdnoL3DzokTDUyY4L8olIqKJmw2B3FxBkpKejtIhxtarYbiovBvp0r/ZGcnk56eRHOzlcOHq5k7d5zf9r3+o31YrV1kZSWzdBhOQ9FMrNFIZsk4Gk8cp3r/Pqacc67f9l22ZTOWujrikpKYvmKl3/YbyWh1OvKmTfdF8Ozzqwikev9+GkpL0RkMzL70Mr/tV0VFRWUsEBFWAM8++yz/v737jq+6vPs//j5JTvbeCRmssKeATJUZhoigdWC1oNZxO7mdtb2raO9qa3+OVltXqQstvbVoq1Jkg8gQgkGWBEISCCQkJCGDhMzv748zIGQQIMlJznk9Hw8eD3K+1/nm+p5c+eZc1/lcn8+wYcM0ePD5U2vt2bNH1dXViomxTAxGjx6t4uJifffdd/Y2W7duVXFxscaMITK2pdzc3Foc1erh4W4PZrBNeC9GamqGJGnIkK4XfY7W9Isn56hb10jl55fowYcX6cf9RyXJ/uH0xfD09FBC/JmFgLZiGIY2fmspBTNubN82+z4dga+vJcClvLzSwT2RCovKtHVrmqQz9cVdyZRJllSAG77Zq8rK6hY/r6qqRidOWHbUxkQHS5JCzqk7ffKkpURTcLBfa3UXAAAAUF/r+/a9+7L17ntrVVhYpoT4cN14Q8P1gy5dLIEHR48V2h+zlYIJCvJlZ2grOxMEciYTyOHDliCQhHh2x7cXf39vexBE4XlKwth+N2y/K51VZGSQAvy9VVtbp8ysvBY951CGpV14eKACA30VGhqgbl0jZRiGvk891OLvbS8HE+ZaWYkly/rigAEJkqSdOzNb9dx79lo2nvXt04UsQmgXJpNJgwZaxvMPuw632nkNw9Cn/9wsSbpuzsgLLsfszM4uUdKatv/zU0nS4KuvkdmJN1peqLiBAyVZgjZaky0LSP8pyfINarsNtADgjBz6rqCsrEypqalKTU2VJGVkZCg1NVWHD595I1RSUqJPPvlEP//5zxs8Pz09Xc8995y2b9+uzMxMLVu2TDfccIOGDh2qsWPHSpL69u2radOm6a677tKWLVu0ZcsW3XXXXZo5c6Z69+7d4JxoHTExwZIs9V8vRnl5pfanHZNkqQHaEQQH++nVV+9QbGyojh0r1I4dlkl7VOSlvfnoYd1RcqFpRS/EoUPHlZt7Up6eHhox3Lnrh3akIJA///k/Ki07raSkGA0d2jHGcXvq3z9eUVHBKi+v1KbN+1v8PFvwmI+Ppz3IIyzUsuvJtshYVGQJAgkJ6Tx1pQEAANDx9bOWBdiyNc1a2lF66KGrZTY33PkfZ81ucPToWUEgxZb3qYGBPm3dVZcTEGApD3x2EMgRayaQBGuWBbQ9k8mkUFuQfkHzJWFs5XpiY0PavF9tyWQy2bNQtHQDz9mlYGyGDbPs/LetJ7WEbYNEuAtmApGkIdaSMKmtHQSyxxIE0r9/QqueF2jOwIGJkqQfdmVd8HMNw9CuXVl66eV/64MP1+uUdd1z167DSks7Jk9PD826ZkSr9rezswUlHLnIoISc/fu14k+v6pt3/6aKUsu9+ERmpjK2b5PJzU3D5lzXan11BragmyO7Ly7oJj8jQ6v+/JrWvfOWygot761LT+Trx/XrJEnDr/9Jq/QTAFyJQ8vBbN++XRMmTLB//cgjj0iS5s2bp/fee0+StGTJEhmGoblz5zZ4vqenp1avXq0//vGPKisrU3x8vK6++mo988wzcj+rNthHH32khx56SMnJlvRcs2bN0uuvv96GV4boqBBJmcrJOXlRz9+z54hqa+sUHR2saGsmgI4gIjxQf3r1Dt1739v2iXjEJQaB9OwZrVWrf1B6GwaB2LKADB/eo1VrTnZEtpTLjg4C2bHjkP6z/HuZTCY98dhsl9xZ4ubmpsmTBumjjzdo1aofNGH8gBY9zxY8Fh0dbN89aVtkLCoqU11dnYqsmUBCyAQCAACAVmTL4GcLOh4zprfGjG58A4ktu8GxY4Wqra2Tu7ubvv46VZKUmEBmitbWWCaQrMP5kni921toiL9yc0+qsKj5TCD5+dZ1k4ssE9yR9OgZre9TMy4gCMTSrsfZQSCX9dCn/9yilJQLCAKxlYMJc+0gkJ07M2UYRqtlWLJlArEF/gHtYdAgSxDI7l1Zqqurk5vb+ffnVlZWa/WaXfr00832rNSStOQfG3X7/An63ppJO3nK4BaXmXIV8daghNy0/aqurGxR1o7amhrt37Be2z79pF4Gke/+7x8afeutKjySLUlKGjNWwTGtV6LKGcT1HyCZTCrKzlZZYaH8Q89fCq6utlYHN2/Stk8/UWbKdvvj333yfxp501xVV5SrrrZW8YMGKzqpV1t2HwCckkODQMaPHy/DMJptc/fdd+vuu+9u9Fh8fLzWr19/3u8TGhqqxYsXX1QfcXFsmUByLzITSOpOaymYDpIF5GyxsaH64yu36/4H31FlZc0lLza1RyaQjd/ukySNG+P8dSHtmUAqqhzWh+rqGv2/l/8lSZp97Qj17++6iwqTJ1uCQL7d9KNOlVfKz/f8E64c626xmJgzu8VCQizBHrW1dTpZXG6vtW57HAAAAGgNwcF+9uyPHh7uevjBq5tsGxkZJA8Pd1VX1yo/v0QVFZX6ekWqJOnWW69qpx67jsBAy4dbtiCQ2to6exYWMoG0r1BrQELheTKB5Ns2z0R0/iCQJHsmkJwWtU9vJBPI0KHdZDKZlJGZp4KC0hYFdtjLwbhoJpB+/eLl4eGuEwWlOnqsUHGtUFroVHmlPVNL/36uV7oXjpPUM0be3maVlp1WZmZ+vfvDuWpqavXll9v1t3fX2IPBPD09NGHCAO3Zc0TZ2QV65dUv7e1/8pPRbd7/ziYoJkb+YeEqKzihnH17lTBkaJNt62prtWflCq3/219VnGO5z7u5u6vPVeOVn5mh/EOHtPbNN+zth19/Q5v3v7PxDghQRLduyj90SNm7d6nPlU2/FzYMQ/s3rNe6d95SQZYlM47JzU1JY8ep9ES+cvbt08b3/mZvTxYQALg4Dg0CgfOKibZ8eGv7MPdCpaZmSpKGDOnaSj1qXd26RWnJx4+qoqLyktP89rQGgWRl5au6uqbRNMOXorCoTHv3WqKUx451/iAQvw5QDubvSzYqMzNfISF+uufuqQ7rR0fQKylGCfHhOnzkhFav/qFFqSlt943Ys4JAzGYPBQb6qKSkQpkZefYAQttCMAAAANBaLhvaTceOFermm8YqPr7p4AJ3dzfFxoTo8JETyj5aoKWfbVFdnaErr+hnzyiC1mPLBFJiDQLJzT2pqqoaeXp6KCoq2IE9cz2h1rKczWUCqamptWfUcYYgkDMbeHJalJGisXIwgYG+SkqKUVraMaXsOKTkKYObPYdhGGfKwYR1/tfwYnh5mdW9e5TS0o4pKzO/VYJAfvwxW4ZhKDo6WOFOkKUGnYeHh7v69YvXjh2H9PWKVN17T3KDe4lhGFq7drfeenuFjmQXSLIEnV43Z5RmXTNcwcF+qqmp1RfWAJGCglINHdJNvZJiHXFJHZrJZFLcwIH6cd1a7V61UnEDB8nNvX6mZsMwdHDzJq17603lHUqXJPmFhGjotXN02bXXKiA8QnW1tdq9coU2LHpHxbm5iuzeQ12HDXPEJXV4cQMHKf/QIe1dvUpJo8fI3Wxu0CZzR4rWvvmGju3bK8kSPDL0mlkaNuc6BUXHyDAM/bhurda987YKjxxWYGSUejcTUAIAaBpBIGgT0dYPb3MuIhNIVVWNPS1jR8wEYhMY6NMqdZ4jI4Pk7++tsrLTysrKt9eZbS2bNu2XYRjq3StWERGXVrqmM/D1tZSDqaioanFqxdZ07Fih3n1vrSTpwQdmuHwtcJPJpGuuGa4//2W53np7hcZf1f+8gRu2IJDo6Pp1o0ND/VVSUqF0a1rdwEAflyyzAwAAgLZ1/33TNXZMH40b1/e8bbvEhenwkRNau3aX1q3bI5PJpLvumtwOvXQ9gbZyMCWWIJDD1lIwcXFhcndv33mfqwsLswSBFBQ0HQRy4kSpDMOQh4e7gp2gjGf3bpFyczPp5MlyFRSUNhs8UFhUppMnT8lkMqlb18h6xwYPSlRa2jHt25fdbBBIdXWNFn+0QadPV0ty3XIwkmWDSFraMR3LKWyV8+3ZY1lz7E8pGDjAFeP6aseOQ/pw8Xrt2XtEv3hijuLiwnT6dJW+XrFTn/5zs71keHCwn26fP0HXzrpcnp5nPsbx8HDXnNkjNW3qUG3ZmmYvm4SGeo0dpx/XrdX3//pcxw8c0NVP/kKR3XuopqpK+9au0bZ/fqKcfZYM2l7+/hrz01s14ic3yuztbT+Hm7u7Bk2brn4TJyl96xbF9O7TaqWpnE2vcVfo+399rn1rVqsgM1MznnxKXfr1U11NjfZ/s0Hb/vmJjuzcKUky+/ho5I03a9TcW+Tld+Z9gslkUt8JE9X7iiuV/t1WhScmyt2DjzEB4GJw90SbsGUCyc09ecE1O/fty1ZVVY1CQvwUH3/pEf4dnclkUlLPGH2fmqHde460fhDI5h8luUYWEOlMORhJqjhd3aLyI63p/Q/XqbKyWpdd1l1Tk4e06/fuqG68YYy+WpaizMx8/fmN5XrqyeuabW8LHju7HIwkhYYGKDMzX+nplh1VIdbdZwAAAEBrCgry1VVX9W9R2y5dLPXOP/v8O0nSlMmD1KN7dJv1zZWdmwnk8JETkqSEZrK1oG2EhlrLwRQ2XQ7GVgomPDyg3TdntAVvb0/FxYXp8OETOpie22wQyCHrB7hduoTK29uz3rFu3SyZQbKy8pt8/t69R/TC7z+zfxB8zczh8vHxbLK9s7OtDRy7yGzD59ptCwJx4dK9cJyfXD9atbV1euevq7RjxyHd+rM/asKEAdq0ab+93Jmvj6fmzr1CN988rtl1TR8fT00YP6C9ut4pDZg6TdWVlVrzxp91bO8eLbpjvvpNnKSM7dt0qshyT/Hw9NTw62/QmFtvk09g0/d2D09P9b7iyvbqeqfUc9RoXfvrZ7TiT68q71C63v+vu9V3wkQd2fWDSvPyJFmCaoZeO1vj5t0u/9DQJs/l5uGhpDFj26vrAOCUOv8sDB1SZGSg3NxMqqqqUWFh0ztDGpO6M1OSJQuIq0TVXnZZd0nS9u0HW/3caWmWOoZDh3bcrCqtycvLLDc3y7hpi5Iw1dU1evOtFdq7L7vR4z/uOypJuunGsS4zfs/HbPbQk4/PkSR98cV2pe7MaLa9LRNIzLmZQKxBH7ZMIM6wmwwAAACd29mlCdzd3fTzO8kC0lYCAiy7cm0fktkygSQkEATS3kJDz18OJj+/WJJzlIKxSbJu2jl4MLfZdum2UjDdohoc69o1QpKUdbjxIJAl/9iou+99U+npuQoK8tUzT9+oXzw551K63enZgkByjl16EIhhGNqz57AkqX//hEs+H3Ch3N3ddMvcK7T4g4c1YnhPVVXV6OuvU1VaWqHY2FA9+MAMLf3nk7rzjkntvrHNGZlMJl127Wzd/eHH6jXuCntpl1NFRQqIiND4u+7RA59+pkn33d9sAAhabkDyVN3z4ccakDxVRl2d9q5epdK8PPmFhGjcvNt1/ydLNe2/H202AAQA0DrIBII2YTZ7KCI8UMfzipWTU3RBaStTUy0fEA8Z0rWNetfxXD6ipxb9bbW2p6Srtrau1VLZVlZW2z9QPzcFqbMymUzy9fVSWdnpJoNADMNQcXH5RQURfL1ipz74cJ2+Tz2kt964t96x2to6+0JOY4s9rmzw4K6adc0I/fuLbfr9i5/r/XcfrJfK0qaystoeOBYbWz8IxHYfyThkywRCEAgAAAAcy5YJRJJmzLhMcXHOn83SUWyZQMrKTquurk5Zh62ZQBIiHNktlxRmzQTSXDmY/HxLJpCIZjJmdDY9ekRr9ZpdOpjefBDIoQxrEEj3husCidbxmpt7UqdPV9XLFFJbW6e33l6pujpDUyYP0oKHZ5IBU2cFgbRCJpDc3JMqKjolDw939Upq3Uy8wIXo0iVUr75yu5Yv/15btx3U5IkDNXp0b8qbtZHAiAj95Pnfaf/6dfpx/Tr1vvIq9briSsqMtBG/kBBd++tnNCB5qn74zzL1HDVafSdOkoen62a1AgBH4F0F2ky0bZKW2/JJWk1NrXbtypJkyQTiKvr2jZOfn5dKSiqUduBYq50363C+DMNQYKCPSy0c2ErCNBUE8ue/LNeMmb/V998fuuBzp6VZMn0cPJirurq6eseOHi1UVVWNvL3NiokJvuBzO7v7/muaQkP9lZWVr8UfrW+0jS3DSnCwr32R18Y2hssrqixfkwkEAAAADmYLtjeb3XX7vIkO7o1zs80PDMPQqVOVOnyYcjCOYssEUtRsJhBrEEhEULv0qT2cyQSS02y7Q9YSpj0aCQIJCfFXUJCvDMOwlzSyOZJ9QpWV1fL2NuvpX9/oUus4zYm1l4MplGEYl3Su3dYsIElJMfLyMl9y34BLYTKZNH36ZVr49I0aN64vASBtzGQyqc/4CZr9zLPqO2EiASDtoMfIUZqz8DkNnDadABAAcADeWaDN2Eo55OaebPFz0tKOqbyiSgH+3o3umHBWHh7u9pIw27a1XkmYzExLVoquiZEuVZrE19fyprKpIJDNm/dLOlN66EIcsKZ9raioalCPNsO626drYqRT1DxubYGBPnr4oaslSe9/sE5HjxY2aGP72Ywc2avBmLUtNNpQDgYAAACOFhsbqueevVkv/b/5io4OdnR3nJqXl9meTTAvr1gnTliCDMgE0v5sc7OKiqom5932cjBOlglEkrKy8lVVVdNom7q6OvvaQFPrWrZsILY1G5t063pDj+7RfBh8FlsmkFOnKlVaerrZtps279f8O17Xc7/5pEEZ3wMHcvT5599Jkvr3j2+bzgIAAAAdBDMKtBlbJoTcC8gEsm17uiTpssu6u9yE9/LhPSVJ37VqEEieJCmxq2stivn62DKBVDU4dvp0lb1kS3Z2wQWd1zCMejt+0s+pA2xL+dqtm2uU3rkYkycN0mVDu6m6ulbLv/6+wfHNW9IkSaNH9W5wLOycIBB2RQEAAKAjmDxpkIYP6+HobriEQGs2kD17j0iyBIYHBvo09xS0AV9fL/n4WDZf2Mp5nivfGqQTHuE8QSBRUUEK8PdWbW2dMrPyGm2Tlpaj8ooqeXi4K76JLDW2NZrDh+sHgdg2ndiCTWDh7e1pDzzKyWm4mUSybAJ68Q+f67HH31da2jEt//p7/fyuv+iue97Q35ds1H0PvK15t7+m760lqEdentRu/QcAAAAcwbU+ZUe7smUCyck52eLnbNt2QJI03BoQ4UpGjLBMQHftytLp0w2DFy6GbVHClqLYVTRXDiY9/bjq6izpQ7OPXlgQSE5OkU6dOnPOc+sAZ2RYXu+uLvZ6XwiTyaSrZwyTJK1e80O9VK7Hj59Uenqu3NxMjS7IkAkEAAB0ZC+99JJGjBihgIAARUZGavbs2dq/f3+9NoZhaOHChYqNjZWPj4/Gjx+vPXv21GtTWVmpBx98UOHh4fLz89OsWbOUnV1/N3NRUZFuu+02BQUFKSgoSLfddptOnjzZ1pcIOFzAOUEgiQmUgnEUW1B+k0Eg9nIwzhMEYjKZ1KOnJUDj3E0hBQWl+n8v/Ut33fOGJKlv3y7y8HBv9DxdEy1rBraNOzbp1jWGpJ4EgZzLtsZ4bkZWSdq9+7Dm3/G6Pv+XJcvH9deN0rSpQ+Xh4a49e47otdeXKTU1U+7ubpo0aaDeeuMejR3Tp137DwAAALQ3gkDQZmypcHNamAmkoqJKu3ZbanNePsL1gkDi48MUFRWs6upapaZmtso5s84qB+NKfJopB5N24Jj9/42VI2nOgXMWedLPDQKxLuB07+Y6pYwuxhVX9JPZ7K7MzHx79hTpTBaQfv3iFRTk2+B5oWEB9b4OCSEIBAAAdBzffvut7r//fm3ZskUrV65UTU2NkpOTderUKXubF198US+//LJef/11bdu2TdHR0ZoyZYpKS0vtbRYsWKDPPvtMS5Ys0caNG1VWVqaZM2eqtrbW3uaWW25Ramqqli9fruXLlys1NVW33XZbu14v4Ai2rB+7rWsHlIJxnLAwSxBIQWFpg2OGYThlEIgk9ewZI+nM+kBlZbX+umiVbrz5JS39bKtqa+s0amQv/fp/bmjyHImJ1nIwWfUzgdgyj/YgCKQBW0mYnGP11xjzT5TooQWLlJ1doKjIIP3pj3fq0Udm6elf36DPlz6hu34+WUOGdNX8eRO09NPH9Ztn52rgwERHXAIAAADQrjwc3QE4r2jbBC2nSIZhyGQyNdt+5w+Zqq6uVVRUsOLiwtqjix2KyWTS5SN66osvt+u7bQc1alSvSzpfTU2tDh85IckFy8E0kwkkLe1MEEhhYZlOlVfKz9r+fGwLMlFRwTp+/GS9TCA1NbX2VK6Ug2mev7+3Ro7spY0b92nNml3q0d2ywLV5i2Wn7Ogmxn7IOZk/yAQCAAA6kqVLlyow8MyHne+++64iIyOVkpKiK6+8UoZh6NVXX9WvfvUrXXfddZKk999/X1FRUfr44491zz33qLi4WIsWLdKHH36oyZMnS5IWL16s+Ph4rVq1SlOnTtW+ffu0fPlybdmyRSNHjpQkvfPOOxo9erT279+v3r0bltUDnIUtE0imdcNDAplAHCa0mUwgpaUVqqqqkSRFhDtZEIi1VEt6eq6+//6Qfv/i5/a1l35943Tff03TZZd1b/YcXa1BIEeOnFBtbZ3c3d1UUlKh43nF1u8R04ZX0DnFxtoygdTfzLNzZ6ZOn65WYmKE3n7zXvs9QpJCQwN0+/yJun3+xHbtKwAAANAREASCNhMVGSSTyaSqqhoVFZUpNDSg2fbbt6dLkkYM73HegBFnNcIaBLJt+8FLPlf20QLV1tbJx8dTUZFBrdC7zsPXp5kgkAM59b4+erRAvZJiW3TeA9bnTk0eog8+XKejRwtVXl4pX18vHT1WqOrqWnl7m+1ZcNC0SRMHauPGfVq9Zpd+fudkVVfXKsV6DxgzuvEPLjw83BUc7KuTJ8slnUk/DAAA0BEVF1s+zAsNDZUkZWRkKDc3V8nJyfY2Xl5euuqqq7Rp0ybdc889SklJUXV1db02sbGxGjBggDZt2qSpU6dq8+bNCgoKsgeASNKoUaMUFBSkTZs2NRoEUllZqcrKM++NS0osO/Srq6tVXV3duheOdmX7+bnKz9HPzzLXs5WV7BIb4jLX3tHYgvLz84sb/AxsH9QHBvrIza1txqejxn5X6yabHd8fsq/dhIUF6MEHpmv8Vf1kMpnO26fQUD95enqoqqpGh4/kKa5LmPbvt5T9io4KlpeXO+P6HJGRlmCiY8cK6702ttdt8KBEeXt7uMzr5mr3fuBsjH+4svYa//x+Ac6BIBC0GbPZQxERgcrLK1ZOzsnzBoFs22aZPI9wwVIwNsOHWQJg0tNzVVBQqrCw5l+z5thKwSQmRMjNzbUqP9kzgVRU1Xu8pqbWXsIlJMRPRUWndPRoYYuDQGyZQEaM6KGvlqWooKBUhw4d14ABCcqwljXp2jXS5V7vizFubB95enro8OETSk/P1cmTp1ReUaWwsAAlJTW96ykkxF8nT5bLZDIpKLBhyRgAAICOwDAMPfLIIxo3bpwGDBggScrNtbwPjYqqXzowKipKWVlZ9jaenp4KCQlp0Mb2/NzcXEVGNsw8FxkZaW9zrhdeeEHPPvtsg8dXrFghX1/eUzmDlStXOroL7eJEwfF6Xx/K2KPi4kMO6o1rO3HCkmVz5869WrbsdL1jhzJOSpK8PKVly5a1aT/ae+xXV9fKZJJqa+skSYMHRWr8VfGqKM/Sf/6T1eLzBAd5Ki+/RkuXLlfPHiFK2WG5f/sHtP1r1hkdOWwJrDxw8Ei912fTph8lSZWnT7jk6+Yq936gMYx/uLK2Hv/l5eVten4A7YMgELSpmOhgSxBIbpH6949vsl1hUZkOWD9gHzasR3t1r8MJDvZTr6QY7U87pm3bD2ra1KEXfa6MzDxJrlcKRpJ8fT0lNcwEknU4X1VVNfL19dKI4T21YuVOZWcXtOicZWWndSzHUns2qWeMevaIVkFBqQ6m51qDQCyvd/duUc2dBlZ+ft4aNbKXNnyzV6vX7FJlpSVV8KiRvZoNogkN9VdGRp4CA33k7k6wDQAA6JgeeOAB/fDDD9q4cWODY+dmPWxJ6cxz2zTWvrnzPPXUU3rkkUfsX5eUlCg+Pl7Jycn1Stig86murtbKlSs1ZcoUmc1mR3enzeXlr1VKiuXDcnd3N829ebY8PNwd3CvXVFOzTd9uOip//1DNmDGj3rGvvkqRtF/dundpcKy1OHLsHzhoKC0tR/f911QNGdL1os6xbfsprVm7WxERiZoxY5x27/mXpCyNGT1IM2ZMatX+OoPsowX6xyc/qqysVtOnT5fJZJJhGHr7r7slSXPmTFHfvnEO7mX7cbV7P3A2xj9cWXuNf1vmSACdG0EgaFPRMSHa+UOWcqwfnjclJcVSBiKpZ4y9rqyrGjGipyUIZNulBYFkZlkygXTr2nCXoLOzZwI5JwgkLc0SaJTUM1pxcWGSpKNH69eTbcrBdMtzoyKDFBjoq549o7X1uwP2zCKHrJlAunVzvdf7Yk2cONAeBGIL6Bg9ulezzwmzZhQKCfFr8/4BAABcjAcffFD//ve/tWHDBsXFnflAKjo6WpIlk0dMzJnMZ3l5efbsINHR0aqqqlJRUVG9bCB5eXkaM2aMvc3x4/WzIUhSfn5+gywjNl5eXvLy8mrwuNlsZvHcSbjKzzIo6Mx6QZfYUPn4eDuwN64tIjJYklRUdKrB2CssOiVJiooMbvNx6Yix/9Qvrr/kc3TrFiWt3a3s7EKZzWYdsm4s6dWri0v8Ll+ouC7hMplMqqysVmlppcLCApR/okRFRafk5mZS795xLvm6ucq9H2gM4x+urK3HP79bgHNgGzXaVEy0ZeEyN7f5IBBKwZwxYrjlNdi27aC9zvHFyLRlAkl0vaAEPz/LQmCRdeHJJu2AJV1tUlKMPQgk+2jLMoEcPGgJ9ujZ07Jg36OHZRH/oDUIxJYJpBuZQFrMVhImO7tAWVn5cnd30+Ujkpp9TkioZdHXVn8aAACgozAMQw888ICWLl2qNWvWqFu3bvWOd+vWTdHR0fVS91ZVVWn9+vX2AI9hw4bJbDbXa5OTk6Pdu3fb24wePVrFxcX67rvv7G22bt2q4uJiexvAWQUE+Nj/n5AQ7sCewLaBp7CorMGx/HzL7tGICDINNaVroiVra2ZWvmpr63TokCW4r2ePpsujujKz2UOR1vFky9KalmZZ40lMiJCXFx9WAQAAAGcjEwjaVEyMLQjkZJNtDMOwB4EMH+66pWBsBg1KlKenh04UlOrQoeP2YIOzfbftgA4eyFX+iRLl5RWrtLRCt956pf0D9Lq6OmW5cCaQ/v0sOy537sxUYVGZfXHqgHWBoFdSrLp0sWYCaWE5GFu5op49LT+PntafS3p6rmpqanX48AlJrvl6XyxfXy+NGdNb69btkSQNHJggf//md/KFh1kygbh6xiAAANDxPProo/r000/1r3/9SwEBAcrNtQQLBwUFycfHRyaTSQsWLNDzzz+vpKQkJSUl6fnnn5evr69uueUWe9s777xTjz76qMLCwhQaGqrHHntMAwcO1OTJkyVJffv21bRp03TXXXfprbfekiTdfffdmjlzpnr37u2YiwfaSWC9IBDXK33akYRZ52aFhWUNylHln7AEgYSHEwTSlERrEEhWVr6OZJ9QZWW1vL3N6tIl1ME967hiYkN0PK9YOccKNXBAgj0IJKlXrIN7BgAAAHQ8BIGgTcVEB0uScprJBJKdXaDjecUym901ZHDX9ulYB+blZdawYT20efN+fbtpf4MgkNSdGVrw3+82eF7+iRJ9vHiBTCaTjh8vVmVltcxmd8XGhjRo6+y6dYtS375x2rcvWytWpOrmm8bJMAwdOGAtB9Mr1r6DJC+/RJWV1efdNWJ/bpJlV05iYoTc3d1UVnZaKTsOqaamVj4+noqKCmrDK3M+kyYMtAeBjB51/g8tpkwerH37snXjDWPbumsAAAAXZNGiRZKk8ePH13v83Xff1fz58yVJTzzxhCoqKnTfffepqKhII0eO1IoVKxQQEGBv/8orr8jDw0M33nijKioqNGnSJL333ntyd3e3t/noo4/00EMPKTk5WZI0a9Ysvf766217gUAHQCaQjiPUmqWxqqpGp05V1gvot2UCiYxkftyU+HhLeZPS0gpt324pkdy9W5S9VCoaio0JVWpqpnKsG81sm3V6JZE9BQAAADgXMwu0qWhrJpCcnJNNljbZtt2SBWTgwER5e3u2W986snFj+0iSNm36scGxlSt/kCQl9YzRT2+5Ug8/dLV8fTyVlZWvHd8fkiRlWEvBxMWFycPDvcE5XMHVMy6TJH21bIcMw1BOTpFKy07Lw8Nd3btFKjjYT35+XvZjzampqbWnZk2yloMxmz3U1Zr1Y+WqnZKkrl0j5ebGbfVCjBnTR74+lt/7sWP6nLd9ZGSQ/vc3t2jQoMS27hoAAMAFKS4ulmEYDf7ZAkAkyWQyaeHChcrJydHp06e1fv16DRgwoN55vL299dprr6mgoEDl5eX64osvFB8fX69NaGioFi9erJKSEpWUlGjx4sUKDg5uh6sEHCsg4EygAUEgjuXlZZafn5ckqaCwtN4xezkYMoE0ycvLbM+eu2qVZZ3HVn4WjYu2bjQ7llMoSUpLswaBkAkEAAAAaIBPK9GmoiKDZDKZVFlZraKTpxptYysFM2J4z/bsWoc2ZrQlI8LuPYd18qzXra6uThu+2StJuveeZN1/3zTddONYJScPkSR99tlWSVKmNQjElUuTTJ40WJ6eHkpPz1Va2jGlHbCkCe3WLVJms4dMJpO9JEz2eUrCZGcXqKqqRj4+nvVSs9qytKxfv8d+blwYHx9PvfzS7Xrhtz9V9+5Rju4OAAAAgA4sMNDX/v+EeIJAHC0s1FoSpuBMEEhVVY19HSMigiCQ5nTtaikJ88OuLElnys+icbGxlvWYnGNFKis7rWPHLMEgZAIBAAAAGiIIBG3KbPZQeLhlUSD3nGwLhUVleuXVL7TxW0u2ixHDe7R7/zqqqKhgJfWMUV2doc1b0uyP79p1WAUFpfL399bws16vObNHSpLWb9irEydKlJWVL0n2TBWuKDDQR1dc0VeS9NV/dpzZIZJ0ZodInDWg46h14aApthSjPXpE18v00dMaBHLqVKUkqXtXghguxqBBibrqqv6O7gYAAACADi401F/jx/fXtKlDFRLi7+juuLwQa0mYwsIy+2MF1oAQT08PBQX5Nvo8WCQmRNT7miCQ5tkypxzLKdIB60af6OjgesFhAAAAACw8HN0BOL+Y6BDl55for4tWa8iQrorrEqZDGcf19yUbVVFRJUmaNHGg+vTp4uCedixjxvTWgYM52rTpR02fNlSStM6acWLs2D4ym8/8+iYlxWjAgATt3n1YX3y53V4OJjExouGJXcjVM4Zp9epdWrEiVb17W8ZXr15ndojExbUsE8iBA5YgkKRzFmRsQSA2ZAIBAAAAgLZjMpn0/P/+1NHdgFWYNQik4KwgEFspmPCwAJlMJof0q7M4d+NOj+4EgTQn1hoEcvz4Se378agky3oYAAAAgIYIAkGbS0qK0Q+7srRla5q2bE2rd6xPny76r3umasQISsGca+yYPnr/g3XasjVNNTW1cnd307p1uyVJ468a0KD9nNkjtXv3Yf3739tUXm7JTOHK5WAkS4mhiIhA5eeX2MsOnZ0JpKXlYA4ezJUkJZ1Tn/fcXTrdupEJBAAAAADgGkIbyQSSl18siVIwLdH1rI07UVHBCgjwcWBvOr7w8EB5eLirpqZWmzZZsgqfvcYDAAAA4AyHloPZsGGDrrnmGsXGxspkMunzzz+vd3z+/PkymUz1/o0aNapem8rKSj344IMKDw+Xn5+fZs2apezs7HptioqKdNtttykoKEhBQUG67bbbdPLkyTa+Otjcf980PbvwJv38zkmaOnWI+veP18CBCfrt/96iRe/cRwBIE/r1i1NwsJ9OnarUzh8ytW9fto7nFcvHx1OjRiY1aD9xwgAFBfnqeF6xSstOy83NpHgXr5Hs7u5mz6IiWXaN9Txrl0hLy8EctJaD6XlOEEhYWICCgy1pR319PBUVFdQq/QYAAAAAoKMLDbWU/y0sLLU/Zs8EQhDIeZ2dvfXczKNoyN3dzb7ukrozU5LUqxdBIAAAAEBjHJoJ5NSpUxo8eLBuv/12XX/99Y22mTZtmt599137156envWOL1iwQF988YWWLFmisLAwPfroo5o5c6ZSUlLk7u4uSbrllluUnZ2t5cuXS5Luvvtu3Xbbbfriiy/a6MpwNm9vT02ZPNjR3eh03NzcNGZMby1btkMbv/1RHtbxPGZ0b3l5mRu09/Iy6+oZw/Tx37+RZKmV2lg7VzNj+jB98OF6SZagDz9fL/sxWzmYnJwi1dTUysPDvcHzDxzI0YmCUplMJvU4p/yL7bGUlEPq2jWSVLcAAAAAAJdhywRSUNAwCCQinE0S5xMY6KuQED8VFZ1qsN6AxsXGhOro0ULV1RmSpF6UgwEAAAAa5dAgkOnTp2v69OnNtvHy8lJ0dOMToeLiYi1atEgffvihJk+eLElavHix4uPjtWrVKk2dOlX79u3T8uXLtWXLFo0cOVKS9M4772j06NHav3+/evfu3boXBbSisWP6aNmyHfr22x9lGJYJ7vir+jfZfva1l9uDQFy9FIxNQkK4Bg5M0K5dhxvsEAkLC5Cnp4eqqmqUe/yk4qzlYWw2btynhc/9nyRp0KBE+fjUD0KTLNlBUlIOqXt3SsEAAAAAAFyHLfvozp2ZKimpUGCgj/JPUA7mQvTu1UVbtqapf794R3elU4iJCbH/PyjIV5GRBBsBAAAAjXFoEEhLrFu3TpGRkQoODtZVV12l3/72t4qMtHy4nZKSourqaiUnJ9vbx8bGasCAAdq0aZOmTp2qzZs3KygoyB4AIkmjRo1SUFCQNm3a1GQQSGVlpSorK+1fl5RYdjJUV1erurq6LS4V7cD2s+ssP8OhQxLl4eGu7OwCSZKnp4eGj+jeZP+jogI1YngPbduersTEiE5znW1t3s/G68U//EtTpw5u8Jp0iQ1VRmaeDmflKSrSskhlGIYWf7RBi/62VoZhaMiQrnr2mRsbfT1v/MkolZVV6Ja54zr8693Zxj/Qmhj/cFWMfbiy9hr//H4BcFVDBndVjx7RSk/P1dLPtmj+vAk6YcsEQhBIizzx+Gzt2p2lMWPYpNYSsbFngkCSesaQkRUAAABoQocOApk+fbpuuOEGJSYmKiMjQ7/+9a81ceJEpaSkyMvLS7m5ufL09FRISEi950VFRSk3N1eSlJubaw8aOVtkZKS9TWNeeOEFPfvssw0eX7FihXx9fS/xyuBoK1eudHQXWqxLFz9lZVkWURITArRu7epm21821F91dVEKCT6lZcuWtUcXO4Xb5/VRwYkDWrbsQL3HPTwsi/Zfr/hG+flpMgxDX36Vrr37LIE3lw2N0sQJEdq0aX2T5x7Qz6ydO7do5862639r6kzjH2htjH+4KsY+XFlbj//y8vI2PT8AdFQmk0m3/vRKPfvc/+n/PtmkuTePO6scDEEgLREdHazo6GBHd6PTiI4+swZ8brZXAAAAAGd06CCQm266yf7/AQMGaPjw4UpMTNRXX32l6667rsnnGYZRLxK8sajwc9uc66mnntIjjzxi/7qkpETx8fFKTk5WYCAT2c6qurpaK1eu1JQpU2Q2mx3dnRYprwjVa6//R5J0440TlDxl8Hmfc8stbd0r55GR6aYDBzcrODhGM2ZM08d//0Z79xXIw8NdCx6eoWtmDnd0F1tNZxz/QGth/MNVMfbhytpr/NuyRgKAK5o0caDefmelcnKK9OWX23WioFQSmUDQNmLPKgfTKynGgT0BAAAAOrYOHQRyrpiYGCUmJurAActO/ujoaFVVVamoqKheNpC8vDyNGTPG3ub48eMNzpWfn6+oqKgmv5eXl5e8vLwaPG42m1lAdwKd6ed45RX99ee/LJeHh7uuvKJ/p+l3Z5GQECFJysk9qR9/PKa/LlojSXrs0Vmadc0IR3atzXSm8Q+0NsY/XBVjH66srcc/v1sAXJmHh7tuuXmcXnrlC737/lpVVdVIksLJBII2cHY5GDKBAAAAAE1zc3QHLkRBQYGOHDmimBhLpPewYcNkNpvrpffNycnR7t277UEgo0ePVnFxsb777jt7m61bt6q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",
+      "text/plain": [
+       "<Figure size 2400x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "sf.plot(Y_df,forecasts_df, engine='plotly')"
+    "sf.plot(Y_df,forecasts_df)"
    ]
   },
   {
@@ -31140,7220 +673,19 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#393b79",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
-         "x": [
-          581,
-          582,
-          583,
-          584,
-          585,
-          586,
-          587,
-          588,
-          589,
-          590,
-          591,
-          592,
-          593,
-          594,
-          595,
-          596,
-          597,
-          598,
-          599,
-          600,
-          601,
-          602,
-          603,
-          604,
-          605,
-          606,
-          607,
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",
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",
+      "text/plain": [
+       "<Figure size 2400x350 with 2 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "# Plot to unique_ids and some selected models\n",
-    "sf.plot(Y_df, forecasts_df, models=[\"HoltWinters\",\"DynamicOptimizedTheta\"], unique_ids=[\"H10\", \"H105\"], level=[90], engine='plotly')"
+    "sf.plot(Y_df, forecasts_df, models=[\"HoltWinters\",\"DynamicOptimizedTheta\"], unique_ids=[\"H10\", \"H105\"], level=[90])"
    ]
   },
   {
@@ -38363,4554 +695,19 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#393b79",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
-         "x": [
-          581,
-          582,
-          583,
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",
+      "text/plain": [
+       "<Figure size 2400x350 with 2 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "# Explore other models \n",
-    "sf.plot(Y_df, forecasts_df, models=[\"AutoARIMA\"], unique_ids=[\"H10\", \"H105\"], level=[90], engine='plotly')"
+    "sf.plot(Y_df, forecasts_df, models=[\"SeasonalNaive\"], unique_ids=[\"H10\", \"H105\"], level=[90])"
    ]
   },
   {
@@ -42978,7 +775,7 @@
     "    h=24,\n",
     "    step_size=24,\n",
     "    n_windows=2\n",
-    "  )"
+    ")"
    ]
   },
   {
@@ -42987,7 +784,7 @@
    "source": [
     "The crossvaldation_df object is a new data frame that includes the following columns:\n",
     "\n",
-    "* `unique_id` index: (If you dont like working with index just run `forecasts_cv_df.resetindex()`)\n",
+    "* `unique_id`: series identifier\n",
     "\n",
     "* `ds`: datestamp or temporal index \n",
     "\n",
@@ -43024,36 +821,24 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
+       "      <th>unique_id</th>\n",
        "      <th>ds</th>\n",
        "      <th>cutoff</th>\n",
        "      <th>y</th>\n",
-       "      <th>AutoARIMA</th>\n",
        "      <th>HoltWinters</th>\n",
        "      <th>CrostonClassic</th>\n",
        "      <th>SeasonalNaive</th>\n",
        "      <th>HistoricAverage</th>\n",
        "      <th>DynamicOptimizedTheta</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>unique_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>0</th>\n",
+       "      <td>H1</td>\n",
        "      <td>701</td>\n",
        "      <td>700</td>\n",
        "      <td>619.0</td>\n",
-       "      <td>603.925415</td>\n",
        "      <td>847.0</td>\n",
        "      <td>742.668762</td>\n",
        "      <td>691.0</td>\n",
@@ -43061,11 +846,11 @@
        "      <td>612.767517</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>1</th>\n",
+       "      <td>H1</td>\n",
        "      <td>702</td>\n",
        "      <td>700</td>\n",
        "      <td>565.0</td>\n",
-       "      <td>507.591736</td>\n",
        "      <td>820.0</td>\n",
        "      <td>742.668762</td>\n",
        "      <td>618.0</td>\n",
@@ -43073,11 +858,11 @@
        "      <td>536.846252</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>2</th>\n",
+       "      <td>H1</td>\n",
        "      <td>703</td>\n",
        "      <td>700</td>\n",
        "      <td>532.0</td>\n",
-       "      <td>481.281677</td>\n",
        "      <td>790.0</td>\n",
        "      <td>742.668762</td>\n",
        "      <td>563.0</td>\n",
@@ -43085,11 +870,11 @@
        "      <td>497.824280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>3</th>\n",
+       "      <td>H1</td>\n",
        "      <td>704</td>\n",
        "      <td>700</td>\n",
        "      <td>495.0</td>\n",
-       "      <td>444.410248</td>\n",
        "      <td>784.0</td>\n",
        "      <td>742.668762</td>\n",
        "      <td>529.0</td>\n",
@@ -43097,11 +882,11 @@
        "      <td>464.723236</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>4</th>\n",
+       "      <td>H1</td>\n",
        "      <td>705</td>\n",
        "      <td>700</td>\n",
        "      <td>481.0</td>\n",
-       "      <td>421.168762</td>\n",
        "      <td>752.0</td>\n",
        "      <td>742.668762</td>\n",
        "      <td>504.0</td>\n",
@@ -43113,21 +898,19 @@
        "</div>"
       ],
       "text/plain": [
-       "            ds  cutoff      y   AutoARIMA  HoltWinters  CrostonClassic  \\\n",
-       "unique_id                                                                \n",
-       "H1         701     700  619.0  603.925415        847.0      742.668762   \n",
-       "H1         702     700  565.0  507.591736        820.0      742.668762   \n",
-       "H1         703     700  532.0  481.281677        790.0      742.668762   \n",
-       "H1         704     700  495.0  444.410248        784.0      742.668762   \n",
-       "H1         705     700  481.0  421.168762        752.0      742.668762   \n",
+       "  unique_id   ds  cutoff      y  HoltWinters  CrostonClassic  SeasonalNaive  \\\n",
+       "0        H1  701     700  619.0        847.0      742.668762          691.0   \n",
+       "1        H1  702     700  565.0        820.0      742.668762          618.0   \n",
+       "2        H1  703     700  532.0        790.0      742.668762          563.0   \n",
+       "3        H1  704     700  495.0        784.0      742.668762          529.0   \n",
+       "4        H1  705     700  481.0        752.0      742.668762          504.0   \n",
        "\n",
-       "           SeasonalNaive  HistoricAverage  DynamicOptimizedTheta  \n",
-       "unique_id                                                         \n",
-       "H1                 691.0       661.674988             612.767517  \n",
-       "H1                 618.0       661.674988             536.846252  \n",
-       "H1                 563.0       661.674988             497.824280  \n",
-       "H1                 529.0       661.674988             464.723236  \n",
-       "H1                 504.0       661.674988             440.972351  "
+       "   HistoricAverage  DynamicOptimizedTheta  \n",
+       "0       661.674988             612.767517  \n",
+       "1       661.674988             536.846252  \n",
+       "2       661.674988             497.824280  \n",
+       "3       661.674988             464.723236  \n",
+       "4       661.674988             440.972351  "
       ]
      },
      "execution_count": null,
@@ -43220,7 +1003,6 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>AutoARIMA</th>\n",
        "      <th>HoltWinters</th>\n",
        "      <th>CrostonClassic</th>\n",
        "      <th>SeasonalNaive</th>\n",
@@ -43236,13 +1018,11 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
-       "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>H1</th>\n",
-       "      <td>1979.302124</td>\n",
        "      <td>44888.019531</td>\n",
        "      <td>28038.736328</td>\n",
        "      <td>1422.666748</td>\n",
@@ -43252,7 +1032,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>H10</th>\n",
-       "      <td>458.892700</td>\n",
        "      <td>2812.916504</td>\n",
        "      <td>1483.484131</td>\n",
        "      <td>96.895828</td>\n",
@@ -43262,27 +1041,24 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>H100</th>\n",
-       "      <td>8629.948242</td>\n",
        "      <td>121625.375000</td>\n",
        "      <td>91945.140625</td>\n",
        "      <td>12019.000000</td>\n",
        "      <td>78491.187500</td>\n",
        "      <td>21699.648438</td>\n",
-       "      <td>AutoARIMA</td>\n",
+       "      <td>SeasonalNaive</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>H101</th>\n",
-       "      <td>6818.348633</td>\n",
        "      <td>28453.394531</td>\n",
        "      <td>16183.634766</td>\n",
        "      <td>10944.458008</td>\n",
        "      <td>18208.404297</td>\n",
        "      <td>63698.082031</td>\n",
-       "      <td>AutoARIMA</td>\n",
+       "      <td>SeasonalNaive</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>H102</th>\n",
-       "      <td>65489.964844</td>\n",
        "      <td>232924.843750</td>\n",
        "      <td>132655.296875</td>\n",
        "      <td>12699.896484</td>\n",
@@ -43295,21 +1071,21 @@
        "</div>"
       ],
       "text/plain": [
-       "              AutoARIMA    HoltWinters  CrostonClassic  SeasonalNaive  \\\n",
-       "unique_id                                                               \n",
-       "H1          1979.302124   44888.019531    28038.736328    1422.666748   \n",
-       "H10          458.892700    2812.916504     1483.484131      96.895828   \n",
-       "H100        8629.948242  121625.375000    91945.140625   12019.000000   \n",
-       "H101        6818.348633   28453.394531    16183.634766   10944.458008   \n",
-       "H102       65489.964844  232924.843750   132655.296875   12699.896484   \n",
+       "             HoltWinters  CrostonClassic  SeasonalNaive  HistoricAverage  \\\n",
+       "unique_id                                                                  \n",
+       "H1          44888.019531    28038.736328    1422.666748     20927.664062   \n",
+       "H10          2812.916504     1483.484131      96.895828      1980.367432   \n",
+       "H100       121625.375000    91945.140625   12019.000000     78491.187500   \n",
+       "H101        28453.394531    16183.634766   10944.458008     18208.404297   \n",
+       "H102       232924.843750   132655.296875   12699.896484    309110.468750   \n",
        "\n",
-       "           HistoricAverage  DynamicOptimizedTheta             best_model  \n",
-       "unique_id                                                                 \n",
-       "H1            20927.664062            1296.333984  DynamicOptimizedTheta  \n",
-       "H10            1980.367432             379.621124          SeasonalNaive  \n",
-       "H100          78491.187500           21699.648438              AutoARIMA  \n",
-       "H101          18208.404297           63698.082031              AutoARIMA  \n",
-       "H102         309110.468750           31393.519531          SeasonalNaive  "
+       "           DynamicOptimizedTheta             best_model  \n",
+       "unique_id                                                \n",
+       "H1                   1296.333984  DynamicOptimizedTheta  \n",
+       "H10                   379.621124          SeasonalNaive  \n",
+       "H100                21699.648438          SeasonalNaive  \n",
+       "H101                63698.082031          SeasonalNaive  \n",
+       "H102                31393.519531          SeasonalNaive  "
       ]
      },
      "execution_count": null,
@@ -43318,8 +1094,7 @@
     }
    ],
    "source": [
-    "evaluation_df = evaluate_cross_validation(crossvaldation_df.reset_index(), mse)\n",
-    "\n",
+    "evaluation_df = evaluate_cross_validation(crossvaldation_df, mse)\n",
     "evaluation_df.head()"
    ]
   },
@@ -43337,7 +1112,6 @@
    "outputs": [],
    "source": [
     "summary_df = evaluation_df.groupby('best_model').size().sort_values().to_frame()\n",
-    "\n",
     "summary_df.reset_index().columns = [\"Model\", \"Nr. of unique_ids\"]"
    ]
   },
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+      "text/plain": [
+       "<Figure size 2400x1050 with 6 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "seasonal_ids = evaluation_df.query('best_model == \"SeasonalNaive\"').index\n",
-    "\n",
-    "sf.plot(Y_df,forecasts_df, unique_ids=seasonal_ids, models=[\"SeasonalNaive\",\"DynamicOptimizedTheta\"], engine='plotly')"
+    "sf.plot(Y_df,forecasts_df, unique_ids=seasonal_ids, models=[\"SeasonalNaive\",\"DynamicOptimizedTheta\"])"
    ]
   },
   {
@@ -49833,14 +1165,15 @@
    "outputs": [],
    "source": [
     "def get_best_model_forecast(forecasts_df, evaluation_df):\n",
-    "    df = forecasts_df.set_index('ds', append=True).stack().to_frame().reset_index(level=2) # Wide to long \n",
+    "    df = forecasts_df.set_index(['unique_id', 'ds']).stack().to_frame().reset_index(level=2) # Wide to long \n",
     "    df.columns = ['model', 'best_model_forecast'] \n",
     "    df = df.join(evaluation_df[['best_model']])\n",
     "    df = df.query('model.str.replace(\"-lo-90|-hi-90\", \"\", regex=True) == best_model').copy()\n",
     "    df.loc[:, 'model'] = [model.replace(bm, 'best_model') for model, bm in zip(df['model'], df['best_model'])]\n",
     "    df = df.drop(columns='best_model').set_index('model', append=True).unstack()\n",
     "    df.columns = df.columns.droplevel()\n",
-    "    df = df.reset_index(level=1)\n",
+    "    df.columns.name = None\n",
+    "    df = df.reset_index()\n",
     "    return df"
    ]
   },
@@ -49876,51 +1209,50 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>model</th>\n",
+       "      <th></th>\n",
+       "      <th>unique_id</th>\n",
        "      <th>ds</th>\n",
        "      <th>best_model</th>\n",
        "      <th>best_model-hi-90</th>\n",
        "      <th>best_model-lo-90</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>unique_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>0</th>\n",
+       "      <td>H1</td>\n",
        "      <td>749</td>\n",
        "      <td>592.701843</td>\n",
        "      <td>611.652649</td>\n",
        "      <td>577.677307</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>1</th>\n",
+       "      <td>H1</td>\n",
        "      <td>750</td>\n",
        "      <td>525.589111</td>\n",
        "      <td>546.621826</td>\n",
        "      <td>505.449738</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>2</th>\n",
+       "      <td>H1</td>\n",
        "      <td>751</td>\n",
        "      <td>489.251801</td>\n",
        "      <td>512.424133</td>\n",
        "      <td>462.072876</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>3</th>\n",
+       "      <td>H1</td>\n",
        "      <td>752</td>\n",
        "      <td>456.195038</td>\n",
        "      <td>478.260956</td>\n",
        "      <td>430.554291</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>H1</th>\n",
+       "      <th>4</th>\n",
+       "      <td>H1</td>\n",
        "      <td>753</td>\n",
        "      <td>436.290527</td>\n",
        "      <td>461.815948</td>\n",
@@ -49931,13 +1263,12 @@
        "</div>"
       ],
       "text/plain": [
-       "model       ds  best_model  best_model-hi-90  best_model-lo-90\n",
-       "unique_id                                                     \n",
-       "H1         749  592.701843        611.652649        577.677307\n",
-       "H1         750  525.589111        546.621826        505.449738\n",
-       "H1         751  489.251801        512.424133        462.072876\n",
-       "H1         752  456.195038        478.260956        430.554291\n",
-       "H1         753  436.290527        461.815948        411.051239"
+       "  unique_id   ds  best_model  best_model-hi-90  best_model-lo-90\n",
+       "0        H1  749  592.701843        611.652649        577.677307\n",
+       "1        H1  750  525.589111        546.621826        505.449738\n",
+       "2        H1  751  489.251801        512.424133        462.072876\n",
+       "3        H1  752  456.195038        478.260956        430.554291\n",
+       "4        H1  753  436.290527        461.815948        411.051239"
       ]
      },
      "execution_count": null,
@@ -49947,7 +1278,6 @@
    ],
    "source": [
     "prod_forecasts_df = get_best_model_forecast(forecasts_df, evaluation_df)\n",
-    "\n",
     "prod_forecasts_df.head()"
    ]
   },
@@ -49965,15491 +1295,18 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#393b79",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
-         "x": [
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",
+      "text/plain": [
+       "<Figure size 2400x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "sf.plot(Y_df, prod_forecasts_df, level=[90], engine='plotly')"
+    "sf.plot(Y_df, prod_forecasts_df, level=[90])"
    ]
   }
  ],
diff --git a/nbs/docs/getting-started/3_Getting_Started_complete_polars.ipynb b/nbs/docs/getting-started/3_Getting_Started_complete_polars.ipynb
index 7ce4e9427..9fbd8ffd8 100644
--- a/nbs/docs/getting-started/3_Getting_Started_complete_polars.ipynb
+++ b/nbs/docs/getting-started/3_Getting_Started_complete_polars.ipynb
@@ -125,6 +125,7 @@
        ".dataframe > thead > tr > th,\n",
        ".dataframe > tbody > tr > td {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
        "<small>shape: (5, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>ds</th><th>y</th></tr><tr><td>str</td><td>i64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>1</td><td>605.0</td></tr><tr><td>&quot;H1&quot;</td><td>2</td><td>586.0</td></tr><tr><td>&quot;H1&quot;</td><td>3</td><td>586.0</td></tr><tr><td>&quot;H1&quot;</td><td>4</td><td>559.0</td></tr><tr><td>&quot;H1&quot;</td><td>5</td><td>511.0</td></tr></tbody></table></div>"
@@ -151,7 +152,6 @@
    ],
    "source": [
     "Y_df = pl.read_parquet('https://datasets-nixtla.s3.amazonaws.com/m4-hourly.parquet')\n",
-    "\n",
     "Y_df.head()"
    ]
   },
@@ -173,10 +173,8 @@
    "outputs": [],
    "source": [
     "uids = Y_df['unique_id'].unique(maintain_order=True)[:10] # Select 10 ids to make the example faster\n",
-    "\n",
     "Y_df = Y_df.filter(pl.col('unique_id').is_in(uids))\n",
-    "\n",
-    "Y_df = Y_df.groupby('unique_id').tail(7 * 24) #Select last 7 days of data to make example faster\n"
+    "Y_df = Y_df.group_by('unique_id').tail(7 * 24) #Select last 7 days of data to make example faster"
    ]
   },
   {
@@ -211,13 +209,23 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/hdd/github/statsforecast/statsforecast/core.py:19: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "/hdd/github/statsforecast/statsforecast/core.py:26: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
       "  from tqdm.autonotebook import tqdm\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "from statsforecast import StatsForecast"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 2400x1400 with 8 Axes>"
       ]
@@ -228,8 +236,6 @@
     }
    ],
    "source": [
-    "from statsforecast import StatsForecast\n",
-    "\n",
     "StatsForecast.plot(Y_df) "
    ]
   },
@@ -289,7 +295,6 @@
    "outputs": [],
    "source": [
     "from statsforecast.models import (\n",
-    "    AutoARIMA,\n",
     "    HoltWinters,\n",
     "    CrostonClassic as Croston, \n",
     "    HistoricAverage,\n",
@@ -306,7 +311,6 @@
    "source": [
     "# Create a list of models and instantiation parameters\n",
     "models = [\n",
-    "    AutoARIMA(season_length=24),\n",
     "    HoltWinters(),\n",
     "    Croston(),\n",
     "    SeasonalNaive(season_length=24),\n",
@@ -340,12 +344,11 @@
    "outputs": [],
    "source": [
     "# Instantiate StatsForecast class as sf\n",
-    "sf = StatsForecast(\n",
-    "    df=Y_df, \n",
+    "sf = StatsForecast( \n",
     "    models=models,\n",
     "    freq=1, \n",
     "    n_jobs=-1,\n",
-    "    fallback_model = SeasonalNaive(season_length=7),\n",
+    "    fallback_model=SeasonalNaive(season_length=7),\n",
     "    verbose=True\n",
     ")"
    ]
@@ -394,29 +397,30 @@
        ".dataframe > thead > tr > th,\n",
        ".dataframe > tbody > tr > td {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (5, 20)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>ds</th><th>AutoARIMA</th><th>AutoARIMA-lo-90</th><th>AutoARIMA-hi-90</th><th>HoltWinters</th><th>HoltWinters-lo-90</th><th>HoltWinters-hi-90</th><th>CrostonClassic</th><th>CrostonClassic-lo-90</th><th>CrostonClassic-hi-90</th><th>SeasonalNaive</th><th>SeasonalNaive-lo-90</th><th>SeasonalNaive-hi-90</th><th>HistoricAverage</th><th>HistoricAverage-lo-90</th><th>HistoricAverage-hi-90</th><th>DynamicOptimizedTheta</th><th>DynamicOptimizedTheta-lo-90</th><th>DynamicOptimizedTheta-hi-90</th></tr><tr><td>str</td><td>i64</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>749</td><td>592.461792</td><td>572.325623</td><td>612.597961</td><td>829.0</td><td>-246.367554</td><td>1904.367554</td><td>829.0</td><td>-246.367554</td><td>1904.367554</td><td>635.0</td><td>537.471191</td><td>732.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>592.701843</td><td>577.677307</td><td>611.652649</td></tr><tr><td>&quot;H1&quot;</td><td>750</td><td>527.174316</td><td>495.321777</td><td>559.026855</td><td>807.0</td><td>-268.367554</td><td>1882.367554</td><td>807.0</td><td>-268.367554</td><td>1882.367554</td><td>572.0</td><td>474.471222</td><td>669.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>525.589111</td><td>505.449738</td><td>546.621826</td></tr><tr><td>&quot;H1&quot;</td><td>751</td><td>488.418549</td><td>445.535583</td><td>531.301514</td><td>785.0</td><td>-290.367554</td><td>1860.367554</td><td>785.0</td><td>-290.367554</td><td>1860.367554</td><td>532.0</td><td>434.471222</td><td>629.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>489.251801</td><td>462.072876</td><td>512.424133</td></tr><tr><td>&quot;H1&quot;</td><td>752</td><td>452.284454</td><td>400.677155</td><td>503.891785</td><td>756.0</td><td>-319.367554</td><td>1831.367554</td><td>756.0</td><td>-319.367554</td><td>1831.367554</td><td>493.0</td><td>395.471222</td><td>590.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>456.195038</td><td>430.554291</td><td>478.260956</td></tr><tr><td>&quot;H1&quot;</td><td>753</td><td>433.127563</td><td>374.070984</td><td>492.184143</td><td>719.0</td><td>-356.367554</td><td>1794.367554</td><td>719.0</td><td>-356.367554</td><td>1794.367554</td><td>477.0</td><td>379.471222</td><td>574.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>436.290527</td><td>411.051239</td><td>461.815948</td></tr></tbody></table></div>"
+       "<small>shape: (5, 17)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>ds</th><th>HoltWinters</th><th>HoltWinters-lo-90</th><th>HoltWinters-hi-90</th><th>CrostonClassic</th><th>CrostonClassic-lo-90</th><th>CrostonClassic-hi-90</th><th>SeasonalNaive</th><th>SeasonalNaive-lo-90</th><th>SeasonalNaive-hi-90</th><th>HistoricAverage</th><th>HistoricAverage-lo-90</th><th>HistoricAverage-hi-90</th><th>DynamicOptimizedTheta</th><th>DynamicOptimizedTheta-lo-90</th><th>DynamicOptimizedTheta-hi-90</th></tr><tr><td>str</td><td>i64</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>749</td><td>829.0</td><td>-246.367554</td><td>1904.367554</td><td>829.0</td><td>-246.367554</td><td>1904.367554</td><td>635.0</td><td>537.471191</td><td>732.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>592.701843</td><td>577.677307</td><td>611.652649</td></tr><tr><td>&quot;H1&quot;</td><td>750</td><td>807.0</td><td>-268.367554</td><td>1882.367554</td><td>807.0</td><td>-268.367554</td><td>1882.367554</td><td>572.0</td><td>474.471222</td><td>669.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>525.589111</td><td>505.449738</td><td>546.621826</td></tr><tr><td>&quot;H1&quot;</td><td>751</td><td>785.0</td><td>-290.367554</td><td>1860.367554</td><td>785.0</td><td>-290.367554</td><td>1860.367554</td><td>532.0</td><td>434.471222</td><td>629.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>489.251801</td><td>462.072876</td><td>512.424133</td></tr><tr><td>&quot;H1&quot;</td><td>752</td><td>756.0</td><td>-319.367554</td><td>1831.367554</td><td>756.0</td><td>-319.367554</td><td>1831.367554</td><td>493.0</td><td>395.471222</td><td>590.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>456.195038</td><td>430.554291</td><td>478.260956</td></tr><tr><td>&quot;H1&quot;</td><td>753</td><td>719.0</td><td>-356.367554</td><td>1794.367554</td><td>719.0</td><td>-356.367554</td><td>1794.367554</td><td>477.0</td><td>379.471222</td><td>574.528809</td><td>660.982117</td><td>398.03775</td><td>923.926514</td><td>436.290527</td><td>411.051239</td><td>461.815948</td></tr></tbody></table></div>"
       ],
       "text/plain": [
-       "shape: (5, 20)\n",
+       "shape: (5, 17)\n",
        "┌───────────┬─────┬────────────┬────────────┬───┬────────────┬────────────┬────────────┬───────────┐\n",
-       "│ unique_id ┆ ds  ┆ AutoARIMA  ┆ AutoARIMA- ┆ … ┆ HistoricAv ┆ DynamicOpt ┆ DynamicOpt ┆ DynamicOp │\n",
-       "│ ---       ┆ --- ┆ ---        ┆ lo-90      ┆   ┆ erage-hi-9 ┆ imizedThet ┆ imizedThet ┆ timizedTh │\n",
-       "│ str       ┆ i64 ┆ f32        ┆ ---        ┆   ┆ 0          ┆ a          ┆ a-lo-90    ┆ eta-hi-90 │\n",
-       "│           ┆     ┆            ┆ f32        ┆   ┆ ---        ┆ ---        ┆ ---        ┆ ---       │\n",
+       "│ unique_id ┆ ds  ┆ HoltWinter ┆ HoltWinter ┆ … ┆ HistoricAv ┆ DynamicOpt ┆ DynamicOpt ┆ DynamicOp │\n",
+       "│ ---       ┆ --- ┆ s          ┆ s-lo-90    ┆   ┆ erage-hi-9 ┆ imizedThet ┆ imizedThet ┆ timizedTh │\n",
+       "│ str       ┆ i64 ┆ ---        ┆ ---        ┆   ┆ 0          ┆ a          ┆ a-lo-90    ┆ eta-hi-90 │\n",
+       "│           ┆     ┆ f32        ┆ f32        ┆   ┆ ---        ┆ ---        ┆ ---        ┆ ---       │\n",
        "│           ┆     ┆            ┆            ┆   ┆ f32        ┆ f32        ┆ f32        ┆ f32       │\n",
        "╞═══════════╪═════╪════════════╪════════════╪═══╪════════════╪════════════╪════════════╪═══════════╡\n",
-       "│ H1        ┆ 749 ┆ 592.461792 ┆ 572.325623 ┆ … ┆ 923.926514 ┆ 592.701843 ┆ 577.677307 ┆ 611.65264 │\n",
-       "│           ┆     ┆            ┆            ┆   ┆            ┆            ┆            ┆ 9         │\n",
-       "│ H1        ┆ 750 ┆ 527.174316 ┆ 495.321777 ┆ … ┆ 923.926514 ┆ 525.589111 ┆ 505.449738 ┆ 546.62182 │\n",
-       "│           ┆     ┆            ┆            ┆   ┆            ┆            ┆            ┆ 6         │\n",
-       "│ H1        ┆ 751 ┆ 488.418549 ┆ 445.535583 ┆ … ┆ 923.926514 ┆ 489.251801 ┆ 462.072876 ┆ 512.42413 │\n",
-       "│           ┆     ┆            ┆            ┆   ┆            ┆            ┆            ┆ 3         │\n",
-       "│ H1        ┆ 752 ┆ 452.284454 ┆ 400.677155 ┆ … ┆ 923.926514 ┆ 456.195038 ┆ 430.554291 ┆ 478.26095 │\n",
-       "│           ┆     ┆            ┆            ┆   ┆            ┆            ┆            ┆ 6         │\n",
-       "│ H1        ┆ 753 ┆ 433.127563 ┆ 374.070984 ┆ … ┆ 923.926514 ┆ 436.290527 ┆ 411.051239 ┆ 461.81594 │\n",
-       "│           ┆     ┆            ┆            ┆   ┆            ┆            ┆            ┆ 8         │\n",
+       "│ H1        ┆ 749 ┆ 829.0      ┆ -246.36755 ┆ … ┆ 923.926514 ┆ 592.701843 ┆ 577.677307 ┆ 611.65264 │\n",
+       "│           ┆     ┆            ┆ 4          ┆   ┆            ┆            ┆            ┆ 9         │\n",
+       "│ H1        ┆ 750 ┆ 807.0      ┆ -268.36755 ┆ … ┆ 923.926514 ┆ 525.589111 ┆ 505.449738 ┆ 546.62182 │\n",
+       "│           ┆     ┆            ┆ 4          ┆   ┆            ┆            ┆            ┆ 6         │\n",
+       "│ H1        ┆ 751 ┆ 785.0      ┆ -290.36755 ┆ … ┆ 923.926514 ┆ 489.251801 ┆ 462.072876 ┆ 512.42413 │\n",
+       "│           ┆     ┆            ┆ 4          ┆   ┆            ┆            ┆            ┆ 3         │\n",
+       "│ H1        ┆ 752 ┆ 756.0      ┆ -319.36755 ┆ … ┆ 923.926514 ┆ 456.195038 ┆ 430.554291 ┆ 478.26095 │\n",
+       "│           ┆     ┆            ┆ 4          ┆   ┆            ┆            ┆            ┆ 6         │\n",
+       "│ H1        ┆ 753 ┆ 719.0      ┆ -356.36755 ┆ … ┆ 923.926514 ┆ 436.290527 ┆ 411.051239 ┆ 461.81594 │\n",
+       "│           ┆     ┆            ┆ 4          ┆   ┆            ┆            ┆            ┆ 8         │\n",
        "└───────────┴─────┴────────────┴────────────┴───┴────────────┴────────────┴────────────┴───────────┘"
       ]
      },
@@ -426,8 +430,7 @@
     }
    ],
    "source": [
-    "forecasts_df = sf.forecast(h=48, level=[90])\n",
-    "\n",
+    "forecasts_df = sf.forecast(df=Y_df, h=48, level=[90])\n",
     "forecasts_df.head()"
    ]
   },
@@ -445,26408 +448,18 @@
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J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var 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r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){\"use 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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:u,handleTraceDefaults:function(t,e,r,n){for(var 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n=r(13838),i=r(41940),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({orientation:{valType:\"enumerated\",values:[\"h\",\"v\"],dflt:\"v\"},thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"]},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"]},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.minor.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside 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strict\";t.exports={cn:{colorbar:\"colorbar\",cbbg:\"cbbg\",cbfill:\"cbfill\",cbfills:\"cbfills\",cbline:\"cbline\",cblines:\"cblines\",cbaxis:\"cbaxis\",cbtitleunshift:\"cbtitleunshift\",cbtitle:\"cbtitle\",cboutline:\"cboutline\",crisp:\"crisp\",jsPlaceholder:\"js-placeholder\"}}},62499:function(t,e,r){\"use strict\";var n=r(71828),i=r(44467),a=r(26218),o=r(38701),s=r(96115),l=r(89426),u=r(63583);t.exports=function(t,e,r){var c=i.newContainer(e,\"colorbar\"),f=t.colorbar||{};function h(t,e){return n.coerce(f,c,u,t,e)}var p=r.margin||{t:0,b:0,l:0,r:0},d=r.width-p.l-p.r,v=r.height-p.t-p.b,g=\"v\"===h(\"orientation\"),y=h(\"thicknessmode\");h(\"thickness\",\"fraction\"===y?30/(g?d:v):30);var m=h(\"lenmode\");h(\"len\",\"fraction\"===m?1:g?v:d);var 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n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,H),W=Y.fill,X=Y.line,J=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),K=J/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=z?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:D*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*K:D-it*K,ot=o?D-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=K,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,H);lt.position=K+(o?I+P/B.w:D+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=D+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ct=Z.size,ft=u.constrain($/50,4,15)+1,ht=(H[1]-H[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*D+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(W);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=H.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?H[0]:(W[a]+W[a-1])/2,a===W.length-1?H[1]:(W[a]+W[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(J,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?X:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+J).call(p.lineGroupStyle,j.width,q(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var 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v=\"copy_\"+l.inherit+\"style\";l.inherit&&(e[\"error_\"+l.inherit]||{}).visible&&h(v,!(f.color||n(f.thickness)||n(f.width))),l.inherit&&c[v]||(h(\"color\",r),h(\"thickness\"),h(\"width\",i.traceIs(e,\"gl3d\")?0:4))}}},37369:function(t,e,r){\"use strict\";var n=r(71828),i=r(30962).overrideAll,a=r(25673),o={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a)};delete o.error_x.copy_zstyle,delete o.error_y.copy_zstyle,delete o.error_y.copy_ystyle;var s={error_x:n.extendFlat({},a),error_y:n.extendFlat({},a),error_z:n.extendFlat({},a)};delete s.error_x.copy_ystyle,delete s.error_y.copy_ystyle,delete s.error_z.copy_ystyle,delete 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y=n.select(this).selectAll(\"g.errorbar\").data(e,h);if(y.exit().remove(),e.length){d.visible||y.selectAll(\"path.xerror\").remove(),v.visible||y.selectAll(\"path.yerror\").remove(),y.style(\"opacity\",1);var m=y.enter().append(\"g\").classed(\"errorbar\",!0);c&&m.style(\"opacity\",0).transition().duration(s.duration).style(\"opacity\",1),a.setClipUrl(y,r.layerClipId,t),y.each((function(t){var e=n.select(this),r=function(t,e,r){var n={x:e.c2p(t.x),y:r.c2p(t.y)};return void 0!==t.yh&&(n.yh=r.c2p(t.yh),n.ys=r.c2p(t.ys),i(n.ys)||(n.noYS=!0,n.ys=r.c2p(t.ys,!0))),void 0!==t.xh&&(n.xh=e.c2p(t.xh),n.xs=e.c2p(t.xs),i(n.xs)||(n.noXS=!0,n.xs=e.c2p(t.xs,!0))),n}(t,l,u);if(!g||t.vis){var a,o=e.select(\"path.yerror\");if(v.visible&&i(r.x)&&i(r.yh)&&i(r.ys)){var 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var 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n=r(85555),i=r(44467).templatedArray;r(24695),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},75378:function(t,e,r){\"use 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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I,D=k&&k.length,z=[];if(D)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&z.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(D)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var B,N,j,U,V=!0;for(x=0;x<y.length;x++)if(B=(U=y[x])===m,N=!0!==U.showlegend,!(B||N||D&&U.legendgroup===k||U.legend!==P||!0!==U.visible||n.traceIs(U,\"notLegendIsolatable\"))){V=!1;break}for(x=0;x<y.length;x++)if(!1!==(U=y[x]).visible&&U.legend===P&&!n.traceIs(U,\"notLegendIsolatable\"))switch(m.visible){case\"legendonly\":tt(U,!0);break;case!0:j=!!V||\"legendonly\",B=U===m,N=!0!==U.showlegend&&!U.legendgroup,tt(U,!!(B||D&&U.legendgroup===k||N)||j)}}for(x=0;x<S.length;x++)if(_=S[x]){var 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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},c.drawcircle={name:\"drawcircle\",title:function(t){return u(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},c.eraseshape={name:\"eraseshape\",title:function(t){return u(t,\"Erase active shape\")},icon:o.eraseshape,click:s},c.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},c.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},c.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return u(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},c.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return u(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},c.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},c.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return u(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},c.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},c.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},c.orbitRotation={name:\"orbitRotation\",title:function(t){return u(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use 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n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return 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n=r(50215),i=r(41940),a=r(82196).line,o=r(79952).P,s=r(1426).extendFlat,l=r(44467).templatedArray,u=(r(24695),r(9012)),c=r(5386).R,f=r(37281);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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n=r(7901),i=r(71828);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var 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t.constructor(0),s=D(t,e);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(l)),i.set(t),i.set(e.subarray(0,l),t.length)}else{var u=r-e.length,c=t.length-u;n.set(t.subarray(c)),n.set(e,u),i.set(t.subarray(0,c))}else n=t.concat(e),i=r>=0&&r<n.length?n.splice(0,n.length-r):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.prependTraces,c,t,arguments),l},e.moveTraces=function t(r,n,i){var a,s=[],l=[],c=t,f=t,h=[r=o.getGraphDiv(r),i,n],p=[r,n,i];if(O(r,n,i),n=Array.isArray(n)?n:[n],void 0===i)for(i=[],a=0;a<n.length;a++)i.push(-n.length+a);for(i=Array.isArray(i)?i:[i],n=C(n,r.data.length-1),i=C(i,r.data.length-1),a=0;a<r.data.length;a++)-1===n.indexOf(a)&&s.push(r.data[a]);for(a=0;a<n.length;a++)l.push({newIndex:i[a],trace:r.data[n[a]]});for(l.sort((function(t,e){return t.newIndex-e.newIndex})),a=0;a<l.length;a+=1)s.splice(l[a].newIndex,0,l[a].trace);r.data=s;var d=e.redraw(r);return u.add(r,c,h,f,p),d},e.prependTraces=function t(r,n,i,a){var s=I(r=o.getGraphDiv(r),n,i,a,(function(t,e,r){var n,i;if(o.isTypedArray(t))if(r<=0){var a=new t.constructor(0),s=D(e,t);r<0?(n=s,i=a):(n=a,i=s)}else if(n=new t.constructor(r),i=new t.constructor(t.length+e.length-r),r===e.length)n.set(e),i.set(t);else if(r<e.length){var l=e.length-r;n.set(e.subarray(0,l)),i.set(e.subarray(l)),i.set(t,l)}else{var u=r-e.length;n.set(e),n.set(t.subarray(0,u),e.length),i.set(t.subarray(u))}else n=e.concat(t),i=r>=0&&r<n.length?n.splice(r,n.length):[];return[n,i]})),l=e.redraw(r),c=[r,s.update,i,s.maxPoints];return u.add(r,e.extendTraces,c,t,arguments),l},e.newPlot=function(t,r,n,i){return t=o.getGraphDiv(t),h.cleanPlot([],{},t._fullData||[],t._fullLayout||{}),h.purge(t),e._doPlot(t,r,n,i)},e._doPlot=function(t,r,i,a){var s;if(t=o.getGraphDiv(t),l.init(t),o.isPlainObject(r)){var u=r;r=u.data,i=u.layout,a=u.config,s=u.frames}if(!1===l.triggerHandler(t,\"plotly_beforeplot\",[r,i,a]))return Promise.reject();r||i||o.isPlotDiv(t)||o.warn(\"Calling _doPlot as if redrawing but this container doesn't yet have a plot.\",t),L(t,a),i||(i={}),n.select(t).classed(\"js-plotly-plot\",!0),d.makeTester(),Array.isArray(t._promises)||(t._promises=[]);var f=0===(t.data||[]).length&&Array.isArray(r);Array.isArray(r)&&(_.cleanData(r),f?t.data=r:t.data.push.apply(t.data,r),t.empty=!1),t.layout&&!f||(t.layout=_.cleanLayout(i)),h.supplyDefaults(t);var v=t._fullLayout,m=v._has(\"cartesian\");v._replotting=!0,(f||v._shouldCreateBgLayer)&&(function(t){var e=n.select(t),r=t._fullLayout;if(r._calcInverseTransform=ot,r._calcInverseTransform(t),r._container=e.selectAll(\".plot-container\").data([0]),r._container.enter().insert(\"div\",\":first-child\").classed(\"plot-container\",!0).classed(\"plotly\",!0),r._paperdiv=r._container.selectAll(\".svg-container\").data([0]),r._paperdiv.enter().append(\"div\").classed(\"user-select-none\",!0).classed(\"svg-container\",!0).style(\"position\",\"relative\"),r._glcontainer=r._paperdiv.selectAll(\".gl-container\").data([{}]),r._glcontainer.enter().append(\"div\").classed(\"gl-container\",!0),r._paperdiv.selectAll(\".main-svg\").remove(),r._paperdiv.select(\".modebar-container\").remove(),r._paper=r._paperdiv.insert(\"svg\",\":first-child\").classed(\"main-svg\",!0),r._toppaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),r._modebardiv=r._paperdiv.append(\"div\"),delete r._modeBar,r._hoverpaper=r._paperdiv.append(\"svg\").classed(\"main-svg\",!0),!r._uid){var i={};n.selectAll(\"defs\").each((function(){this.id&&(i[this.id.split(\"-\")[1]]=1)})),r._uid=o.randstr(i)}r._paperdiv.selectAll(\".main-svg\").attr(y.svgAttrs),r._defs=r._paper.append(\"defs\").attr(\"id\",\"defs-\"+r._uid),r._clips=r._defs.append(\"g\").classed(\"clips\",!0),r._topdefs=r._toppaper.append(\"defs\").attr(\"id\",\"topdefs-\"+r._uid),r._topclips=r._topdefs.append(\"g\").classed(\"clips\",!0),r._bgLayer=r._paper.append(\"g\").classed(\"bglayer\",!0),r._draggers=r._paper.append(\"g\").classed(\"draglayer\",!0);var a=r._paper.append(\"g\").classed(\"layer-below\",!0);r._imageLowerLayer=a.append(\"g\").classed(\"imagelayer\",!0),r._shapeLowerLayer=a.append(\"g\").classed(\"shapelayer\",!0),r._cartesianlayer=r._paper.append(\"g\").classed(\"cartesianlayer\",!0),r._polarlayer=r._paper.append(\"g\").classed(\"polarlayer\",!0),r._smithlayer=r._paper.append(\"g\").classed(\"smithlayer\",!0),r._ternarylayer=r._paper.append(\"g\").classed(\"ternarylayer\",!0),r._geolayer=r._paper.append(\"g\").classed(\"geolayer\",!0),r._funnelarealayer=r._paper.append(\"g\").classed(\"funnelarealayer\",!0),r._pielayer=r._paper.append(\"g\").classed(\"pielayer\",!0),r._iciclelayer=r._paper.append(\"g\").classed(\"iciclelayer\",!0),r._treemaplayer=r._paper.append(\"g\").classed(\"treemaplayer\",!0),r._sunburstlayer=r._paper.append(\"g\").classed(\"sunburstlayer\",!0),r._indicatorlayer=r._toppaper.append(\"g\").classed(\"indicatorlayer\",!0),r._glimages=r._paper.append(\"g\").classed(\"glimages\",!0);var s=r._toppaper.append(\"g\").classed(\"layer-above\",!0);r._imageUpperLayer=s.append(\"g\").classed(\"imagelayer\",!0),r._shapeUpperLayer=s.append(\"g\").classed(\"shapelayer\",!0),r._selectionLayer=r._toppaper.append(\"g\").classed(\"selectionlayer\",!0),r._infolayer=r._toppaper.append(\"g\").classed(\"infolayer\",!0),r._menulayer=r._toppaper.append(\"g\").classed(\"menulayer\",!0),r._zoomlayer=r._toppaper.append(\"g\").classed(\"zoomlayer\",!0),r._hoverlayer=r._hoverpaper.append(\"g\").classed(\"hoverlayer\",!0),r._modebardiv.classed(\"modebar-container\",!0).style(\"position\",\"absolute\").style(\"top\",\"0px\").style(\"right\",\"0px\"),t.emit(\"plotly_framework\")}(t),v._shouldCreateBgLayer&&delete v._shouldCreateBgLayer),d.initGradients(t),d.initPatterns(t),f&&p.saveShowSpikeInitial(t);var x=!t.calcdata||t.calcdata.length!==(t._fullData||[]).length;x&&h.doCalcdata(t);for(var b=0;b<t.calcdata.length;b++)t.calcdata[b][0].trace=t._fullData[b];t._context.responsive?t._responsiveChartHandler||(t._responsiveChartHandler=function(){o.isHidden(t)||h.resize(t)},window.addEventListener(\"resize\",t._responsiveChartHandler)):o.clearResponsive(t);var T=o.extendFlat({},v._size),k=0;function A(){if(h.clearAutoMarginIds(t),w.drawMarginPushers(t),p.allowAutoMargin(t),t._fullLayout.title.text&&t._fullLayout.title.automargin&&h.allowAutoMargin(t,\"title.automargin\"),v._has(\"pie\"))for(var e=t._fullData,r=0;r<e.length;r++){var n=e[r];\"pie\"===n.type&&n.automargin&&h.allowAutoMargin(t,\"pie.\"+n.uid+\".automargin\")}return h.doAutoMargin(t),h.previousPromises(t)}function S(){t._transitioning||(w.doAutoRangeAndConstraints(t),f&&p.saveRangeInitial(t),c.getComponentMethod(\"rangeslider\",\"calcAutorange\")(t))}var E=[h.previousPromises,function(){if(s)return e.addFrames(t,s)},function e(){for(var r=v._basePlotModules,n=0;n<r.length;n++)r[n].drawFramework&&r[n].drawFramework(t);!v._glcanvas&&v._has(\"gl\")&&(v._glcanvas=v._glcontainer.selectAll(\".gl-canvas\").data([{key:\"contextLayer\",context:!0,pick:!1},{key:\"focusLayer\",context:!1,pick:!1},{key:\"pickLayer\",context:!1,pick:!0}],(function(t){return t.key})),v._glcanvas.enter().append(\"canvas\").attr(\"class\",(function(t){return\"gl-canvas gl-canvas-\"+t.key.replace(\"Layer\",\"\")})).style({position:\"absolute\",top:0,left:0,overflow:\"visible\",\"pointer-events\":\"none\"}));var i=t._context.plotGlPixelRatio;if(v._glcanvas){v._glcanvas.attr(\"width\",v.width*i).attr(\"height\",v.height*i).style(\"width\",v.width+\"px\").style(\"height\",v.height+\"px\");var a=v._glcanvas.data()[0].regl;if(a&&(Math.floor(v.width*i)!==a._gl.drawingBufferWidth||Math.floor(v.height*i)!==a._gl.drawingBufferHeight)){var s=\"WebGL context buffer and canvas dimensions do not match due to browser/WebGL bug.\";if(!k)return o.log(s+\" Clearing 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g){if(c=Q(i,K)){if(d=c.head,v=c.tail,a=c.attr||d+\".uirevision\",(u=(l=s(n,a).get())&&tt(a,e))&&u===l){if(null===(f=g[i])&&(f=void 0),nt(p=(h=s(e,i)).get(),f)){void 0===p&&\"autorange\"===v&&y.push(d),h.set(R(s(n,i).get()));continue}if(\"autorange\"===v||\"range[\"===v.substr(0,6)){var b=g[d+\".range[0]\"],_=g[d+\".range[1]\"],w=g[d+\".autorange\"];if(w||null===w&&null===b&&null===_){if(!(d in m)){var T=s(e,d).get();m[d]=T&&(T.autorange||!1!==T.autorange&&(!T.range||2!==T.range.length))}if(m[d]){h.set(R(s(n,i).get()));continue}}}}}else o.warn(\"unrecognized GUI edit: \"+i);delete g[i],c&&\"range[\"===c.tail.substr(0,6)&&(x[c.head]=1)}for(var k=0;k<y.length;k++){var A=y[k];if(x[A]){var M=s(e,A).get();M&&delete M.autorange}}var S=n._tracePreGUI;for(var E in S){var L,C=S[E],P=null;for(i in C){if(!P){var O=et(E,r);if(O<0){delete S[E];break}var I=rt(E,t,(L=r[O]._fullInput).index);if(I<0){delete 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c={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:u,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],c)}return(u.calc||u.plot)&&(u.fullReplot=!0),i&&u.nChanges&&u.nChangesAnim&&(u.anim=u.nChanges===u.nChangesAnim&&o?\"all\":\"some\"),u}(t,u,y,x,b,A);if(W(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(m),C=0;C<E.length;C++){var P=E[C],O=P.substring(0,5);if(\"xaxis\"===O||\"yaxis\"===O){var I=m[P]._emptyCategories;I&&I()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,y);var D=[];if(a&&(t._transitionData={},h.createTransitionData(t),D.push((function(){return e.addFrames(t,a)}))),m.transition&&!v&&(S.anim||k.anim))k.ticks&&D.push(w.doTicksRelayout),h.doCalcdata(t),w.doAutoRangeAndConstraints(t),D.push((function(){return h.transitionFromReact(t,S,k,p)}));else if(S.fullReplot||k.layoutReplot||v)t._fullLayout._skipDefaults=!0,D.push(e._doPlot);else{for(var z in k.arrays){var F=k.arrays[z];if(F.length){var B=c.getComponentMethod(z,\"drawOne\");if(B!==o.noop)for(var N=0;N<F.length;N++)B(t,F[N]);else{var j=c.getComponentMethod(z,\"draw\");if(j===o.noop)throw new Error(\"cannot draw components: \"+z);j(t)}}}D.push(h.previousPromises),S.style&&D.push(w.doTraceStyle),(S.colorbars||k.colorbars)&&D.push(w.doColorBars),k.legend&&D.push(w.doLegend),k.layoutstyle&&D.push(w.layoutStyles),k.axrange&&H(D),k.ticks&&D.push(w.doTicksRelayout),k.modebar&&D.push(w.doModeBar),k.camera&&D.push(w.doCamera),D.push(M)}D.push(h.rehover,h.redrag,h.reselect),(l=o.syncOrAsync(D,t))&&l.then||(l=Promise.resolve(t))}else l=e.newPlot(t,r,n,i);return l.then((function(){return t.emit(\"plotly_react\",{data:r,layout:n}),t}))},e.redraw=function(t){if(t=o.getGraphDiv(t),!o.isPlotDiv(t))throw new Error(\"This element is not a Plotly plot: 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u=i(e.dtick),c=i(t.dtick),f=u?e.dtick:+e.dtick.substring(1),h=c?t.dtick:+t.dtick.substring(1);u&&c?et(f,h)?f===2*A&&h===2*M&&(t.dtick=A):f===2*A&&h===3*M?t.dtick=A:f!==A||(e._input.minor||{}).nticks?rt(f/h,2.5)?t.dtick=f/2:t.dtick=f:t.dtick=M:\"M\"===String(e.dtick).charAt(0)?c?t.dtick=\"M1\":et(f,h)?f>=12&&2===h&&(t.dtick=\"M3\"):t.dtick=e.dtick:\"L\"===String(t.dtick).charAt(0)?\"L\"===String(e.dtick).charAt(0)?et(f,h)||(t.dtick=rt(f/h,2.5)?e.dtick/2:e.dtick):t.dtick=\"D1\":\"D2\"===t.dtick&&+e.dtick>1&&(t.dtick=1)}t.range=e.range}void 0===e.minor._tick0Init&&(t.tick0=e.tick0)},q.prepTicks=function(t,e){var r=s.simpleMap(t.range,t.r2l,void 0,void 0,e);if(\"auto\"===t.tickmode||!t.dtick){var n,a=t.nticks;a||(\"category\"===t.type||\"multicategory\"===t.type?(n=t.tickfont?s.bigFont(t.tickfont.size||12):15,a=t._length/n):(n=\"y\"===t._id.charAt(0)?40:80,a=s.constrain(t._length/n,4,9)+1),\"radialaxis\"===t._name&&(a*=2)),t.minor&&\"array\"!==t.minor.tickmode||\"array\"===t.tickmode&&(a*=100),t._roughDTick=Math.abs(r[1]-r[0])/a,q.autoTicks(t,t._roughDTick),t._minDtick>0&&t.dtick<2*t._minDtick&&(t.dtick=t._minDtick,t.tick0=t.l2r(t._forceTick0))}\"period\"===t.ticklabelmode&&function(t){var e;function r(){return!(i(t.dtick)||\"M\"!==t.dtick.charAt(0))}var n=r(),a=q.getTickFormat(t);if(a){var o=t._dtickInit!==t.dtick;/%[fLQsSMX]/.test(a)||(/%[HI]/.test(a)?(e=E,o&&!n&&t.dtick<E&&(t.dtick=E)):/%p/.test(a)?(e=S,o&&!n&&t.dtick<S&&(t.dtick=S)):/%[Aadejuwx]/.test(a)?(e=M,o&&!n&&t.dtick<M&&(t.dtick=M)):/%[UVW]/.test(a)?(e=A,o&&!n&&t.dtick<A&&(t.dtick=A)):/%[Bbm]/.test(a)?(e=T,o&&(n?nt(t.dtick)<1:t.dtick<k)&&(t.dtick=\"M1\")):/%[q]/.test(a)?(e=b,o&&(n?nt(t.dtick)<3:t.dtick<_)&&(t.dtick=\"M3\")):/%[Yy]/.test(a)&&(e=y,o&&(n?nt(t.dtick)<12:t.dtick<m)&&(t.dtick=\"M12\")))}(n=r())&&t.tick0===t._dowTick0&&(t.tick0=t._rawTick0),t._definedDelta=e}(t),t.tick0||(t.tick0=\"date\"===t.type?\"2000-01-01\":0),\"date\"===t.type&&t.dtick<.1&&(t.dtick=.1),vt(t)},q.calcTicks=function(t,e){for(var r,n,a=t.type,o=t.calendar,l=t.ticklabelstep,u=\"period\"===t.ticklabelmode,c=s.simpleMap(t.range,t.r2l,void 0,void 0,e),f=c[1]<c[0],h=Math.min(c[0],c[1]),p=Math.max(c[0],c[1]),d=Math.max(1e3,t._length||0),v=[],L=[],C=[],P=[],I=t.minor&&(t.minor.ticks||t.minor.showgrid),D=1;D>=(I?0:1);D--){var z=!D;D?(t._dtickInit=t.dtick,t._tick0Init=t.tick0):(t.minor._dtickInit=t.minor.dtick,t.minor._tick0Init=t.minor.tick0);var R=D?t:s.extendFlat({},t,t.minor);if(z?q.prepMinorTicks(R,t,e):q.prepTicks(R,e),\"array\"!==R.tickmode)if(\"sync\"!==R.tickmode){var F=K(c),B=F[0],N=F[1],j=i(R.dtick),U=\"log\"===a&&!(j||\"L\"===R.dtick.charAt(0)),V=q.tickFirst(R,e);if(D){if(t._tmin=V,V<B!==f)break;\"category\"!==a&&\"multicategory\"!==a||(N=f?Math.max(-.5,N):Math.min(t._categories.length-.5,N))}var H,G,Z=null,Y=V;D&&(j?G=t.dtick:\"date\"===a?\"string\"==typeof t.dtick&&\"M\"===t.dtick.charAt(0)&&(G=T*t.dtick.substring(1)):G=t._roughDTick,H=Math.round((t.r2l(Y)-t.r2l(t.tick0))/G)-1);var W=R.dtick;for(R.rangebreaks&&R._tick0Init!==R.tick0&&(Y=zt(Y,t),f||(Y=q.tickIncrement(Y,W,!f,o))),D&&u&&(Y=q.tickIncrement(Y,W,!f,o),H--);f?Y>=N:Y<=N;Y=q.tickIncrement(Y,W,f,o)){if(D&&H++,R.rangebreaks&&!f){if(Y<B)continue;if(R.maskBreaks(Y)===O&&zt(Y,R)>=p)break}if(C.length>d||Y===Z)break;Z=Y;var 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L=(v+.5)/84;e.maskBreaks(i*(1-L)+L*p)!==O&&d++}(h*=d/84)||(t[n].drop=!0),s&&c>A&&(h=c)}(h>0||0===n)&&(t[n].periodX=i+h/2)}}(C,t,t._definedDelta),t.rangebreaks){var it=\"y\"===t._id.charAt(0),st=1;\"auto\"===t.tickmode&&(st=t.tickfont?t.tickfont.size:12);var lt=NaN;for(r=C.length-1;r>-1;r--)if(C[r].drop)C.splice(r,1);else{C[r].value=zt(C[r].value,t);var ut=t.c2p(C[r].value);(it?lt>ut-st:lt<ut+st)?C.splice(f?r+1:r,1):lt=ut}}Dt(t)&&360===Math.abs(c[1]-c[0])&&C.pop(),t._tmax=(C[C.length-1]||{}).value,t._prevDateHead=\"\",t._inCalcTicks=!0;var ct,ft,ht=function(e){e.text=\"\",t._prevDateHead=n};for(C=C.concat(P),r=0;r<C.length;r++){var pt=C[r].minor,dt=C[r].value;pt?L.push({x:dt,minor:!0}):(n=t._prevDateHead,ct=q.tickText(t,dt,!1,C[r].simpleLabel),void 0!==(ft=C[r].periodX)&&(ct.periodX=ft,(ft>p||ft<h)&&(ft>p&&(ct.periodX=p),ft<h&&(ct.periodX=h),ht(ct))),C[r].skipLabel&&ht(ct),v.push(ct))}return v=v.concat(L),t._inCalcTicks=!1,u&&v.length&&(v[0].noTick=!0),v};var st=[2,5,10],lt=[1,2,3,6,12],ut=[1,2,5,10,15,30],ct=[1,2,3,7,14],ft=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],ht=[-.301,0,.301,.699,1],pt=[15,30,45,90,180];function dt(t,e,r){return e*s.roundUp(t/e,r)}function vt(t){var e=t.dtick;if(t._tickexponent=0,i(e)||\"string\"==typeof e||(e=1),\"category\"!==t.type&&\"multicategory\"!==t.type||(t._tickround=null),\"date\"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,\"\"),a=n.length;if(\"M\"===String(e).charAt(0))a>10||\"01-01\"!==n.substr(5)?t._tickround=\"d\":t._tickround=+e.substr(1)%12==0?\"y\":\"m\";else if(e>=M&&a<=10||e>=15*M)t._tickround=\"d\";else if(e>=L&&a<=16||e>=E)t._tickround=\"M\";else if(e>=C&&a<=19||e>=L)t._tickround=\"S\";else{var o=t.l2r(r+e).replace(/^-/,\"\").length;t._tickround=Math.max(a,o)-20,t._tickround<0&&(t._tickround=4)}}else if(i(e)||\"L\"===e.charAt(0)){var s=t.range.map(t.r2d||Number);i(e)||(e=Number(e.substr(1))),t._tickround=2-Math.floor(Math.log(e)/Math.LN10+.01);var l=Math.max(Math.abs(s[0]),Math.abs(s[1])),u=Math.floor(Math.log(l)/Math.LN10+.01),c=void 0===t.minexponent?3:t.minexponent;Math.abs(u)>c&&(mt(t.exponentformat)&&!xt(u)?t._tickexponent=3*Math.round((u-1)/3):t._tickexponent=u)}else t._tickround=null}function gt(t,e,r){var n=t.tickfont||{};return{x:e,dx:0,dy:0,text:r||\"\",fontSize:n.size,font:n.family,fontColor:n.color}}q.autoTicks=function(t,e,r){var n;function a(t){return Math.pow(t,Math.floor(Math.log(e)/Math.LN10))}if(\"date\"===t.type){t.tick0=s.dateTick0(t.calendar,0);var o=2*e;if(o>y)e/=y,n=a(10),t.dtick=\"M\"+12*dt(e,n,st);else if(o>T)e/=T,t.dtick=\"M\"+dt(e,1,lt);else if(o>M){if(t.dtick=dt(e,M,t._hasDayOfWeekBreaks?[1,2,7,14]:ct),!r){var l=q.getTickFormat(t),u=\"period\"===t.ticklabelmode;u&&(t._rawTick0=t.tick0),/%[uVW]/.test(l)?t.tick0=s.dateTick0(t.calendar,2):t.tick0=s.dateTick0(t.calendar,1),u&&(t._dowTick0=t.tick0)}}else o>E?t.dtick=dt(e,E,lt):o>L?t.dtick=dt(e,L,ut):o>C?t.dtick=dt(e,C,ut):(n=a(10),t.dtick=dt(e,n,st))}else if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+dt(e,n,st)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,u,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if(\"D\"===l){var c=\"D2\"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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r=n.select(this),i=t._promises.length;r.call(u.positionText,d.xFn(e),d.yFn(e)).call(h.font,e.font,e.fontSize,e.fontColor).text(e.text).call(u.convertToTspans,t),t._promises[i]?m.push(t._promises.pop().then((function(){x(r,v)}))):x(r,v)})),Ft(e,[F]),y.exit().remove(),r.repositionOnUpdate&&y.each((function(t){n.select(this).select(\"text\").call(u.positionText,d.xFn(t),d.yFn(t))})),e._adjustTickLabelsOverflow=function(){var r=e.ticklabeloverflow;if(r&&\"allow\"!==r){var i=-1!==r.indexOf(\"hide\"),o=\"x\"===e._id.charAt(0),l=0,u=o?t._fullLayout.width:t._fullLayout.height;if(-1!==r.indexOf(\"domain\")){var c=s.simpleMap(e.range,e.r2l);l=e.l2p(c[0])+e._offset,u=e.l2p(c[1])+e._offset}var f=Math.min(l,u),p=Math.max(l,u),d=e.side,v=1/0,g=-1/0;for(var m in y.each((function(t){var r=n.select(this);if(r.select(\".text-math-group\").empty()){var a=h.bBox(r.node()),s=0;o?(a.right>p||a.left<f)&&(s=1):(a.bottom>p||a.top+(e.tickangle?0:t.fontSize/4)<f)&&(s=1);var l=r.select(\"text\");s?i&&l.style(\"opacity\",0):(l.style(\"opacity\",1),v=\"bottom\"===d||\"right\"===d?Math.min(v,o?a.top:a.left):-1/0,g=\"top\"===d||\"left\"===d?Math.max(g,o?a.bottom:a.right):1/0)}})),a._plots){var x=a._plots[m];if(e._id===x.xaxis._id||e._id===x.yaxis._id){var b=o?x.yaxis:x.xaxis;b&&(b[\"_visibleLabelMin_\"+e._id]=v,b[\"_visibleLabelMax_\"+e._id]=g)}}}},e._hideCounterAxisInsideTickLabels=function(t){var r=\"x\"===e._id.charAt(0),i=[];for(var o in a._plots){var s=a._plots[o];e._id!==s.xaxis._id&&e._id!==s.yaxis._id||i.push(r?s.yaxis:s.xaxis)}i.forEach((function(r,i){r&&Rt(r)&&(t||[I,z,D,R,F]).forEach((function(t){var o=\"tick\"===t.K&&\"text\"===t.L&&\"period\"===e.ticklabelmode,s=a._plots[e._mainSubplot];(t.K===I.K?s.zerolinelayer.selectAll(\".\"+e._id+\"zl\"):t.K===z.K?s.minorGridlayer.selectAll(\".\"+e._id):t.K===D.K?s.gridlayer.selectAll(\".\"+e._id):s[e._id.charAt(0)+\"axislayer\"]).each((function(){var 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v=Object.keys(n),m=1/0,x=0,b=1/0,_={},w={},T=!1;for(r=0;r<v.length;r++)w[o=v[r]]=l=p[a(o)],l._inputDomain?l.domain=l._inputDomain.slice():l._inputDomain=l.domain.slice(),l._inputRange||(l._inputRange=l.range.slice()),l.setScale(),_[o]=c=Math.abs(l._m)/n[o],m=Math.min(m,c),\"domain\"!==l.constrain&&l._constraintShrinkable||(b=Math.min(b,c)),delete l._constraintShrinkable,x=Math.max(x,c),\"domain\"===l.constrain&&(T=!0);if(!(m>u*x)||T)for(r=0;r<v.length;r++)if(c=_[o=v[r]],f=(l=w[o]).constrain,c!==b||\"domain\"===f)if(h=c/b,\"range\"===f)s(l,h);else{var k=l._inputDomain,A=(l.domain[1]-l.domain[0])/(k[1]-k[0]),M=(l.r2l(l.range[1])-l.r2l(l.range[0]))/(l.r2l(l._inputRange[1])-l.r2l(l._inputRange[0]));if((h/=A)*M<1){l.domain=l._input.domain=k.slice(),s(l,h);continue}if(M<1&&(l.range=l._input.range=l._inputRange.slice(),h*=M),l.autorange){var S=l.r2l(l.range[0]),E=l.r2l(l.range[1]),L=(S+E)/2,C=L,P=L,O=Math.abs(E-L),I=L-O*h*1.0001,D=L+O*h*1.0001,z=i.makePadFn(p,l,0),R=i.makePadFn(p,l,1);y(l,h);var F,B,N=Math.abs(l._m),j=i.concatExtremes(t,l),U=j.min,V=j.max;for(B=0;B<U.length;B++)(F=U[B].val-z(U[B])/N)>I&&F<C&&(C=F);for(B=0;B<V.length;B++)(F=V[B].val+R(V[B])/N)<D&&F>P&&(P=F);h/=(P-C)/(2*O),C=l.l2r(C),P=l.l2r(P),l.range=l._input.range=S<E?[C,P]:[P,C]}y(l,h)}}},e.getAxisGroup=function(t,e){for(var r=t._axisMatchGroups,n=0;n<r.length;n++)if(r[n][e])return\"g\"+n;return e},e.clean=function(t,e){if(e._inputDomain){for(var r=!1,n=e._id,i=t._fullLayout._axisConstraintGroups,a=0;a<i.length;a++)if(i[a][n]){r=!0;break}r&&\"domain\"===e.constrain||(e._input.domain=e.domain=e._inputDomain,delete e._inputDomain)}}},29323:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(84267),s=r(38520),l=r(73972),u=i.strTranslate,c=r(63893),f=r(7901),h=r(91424),p=r(30211),d=r(89298),v=r(6964),g=r(28569),y=r(64505),m=y.selectingOrDrawing,x=y.freeMode,b=r(18783).FROM_TL,_=r(33306),w=r(61549).redrawReglTraces,T=r(74875),k=r(41675).getFromId,A=r(47322).prepSelect,M=r(47322).clearOutline,S=r(47322).selectOnClick,E=r(42449),L=r(85555),C=L.MINDRAG,P=L.MINZOOM,O=!0;function I(t,e,r,n){var a=i.ensureSingle(t.draglayer,e,r,(function(e){e.classed(\"drag\",!0).style({fill:\"transparent\",\"stroke-width\":0}).attr(\"data-subplot\",t.id)}));return a.call(v,n),a.node()}function D(t,e,r,i,a,o,s){var l=I(t,\"rect\",e,r);return n.select(l).call(h.setRect,i,a,o,s),l}function z(t,e){for(var r=0;r<t.length;r++)if(!t[r].fixedrange)return e;return\"\"}function R(t,e,r,n,i){for(var a=0;a<t.length;a++){var o=t[a];if(!o.fixedrange)if(o.rangebreaks){var 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t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function H(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function q(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function Z(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function W(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,X,J,K,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(X={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;X[a._id]=a}J=W(V),K=W(X),it=z(J,y),at=z(K,v),ot=!at&&!it,nt=Z(t,t._fullLayout._axisMatchGroups,V,X);var o=(rt=Z(t,t._fullLayout._axisConstraintGroups,V,X,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var 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0)&&r(\"lakecolor\"),r(\"showrivers\",!!x&&void 0)&&(r(\"rivercolor\"),r(\"riverwidth\")),r(\"showcountries\",d&&\"usa\"!==c&&x)&&(r(\"countrycolor\"),r(\"countrywidth\")),(\"usa\"===c||\"north america\"===c&&50===u)&&(r(\"showsubunits\",x),r(\"subunitcolor\"),r(\"subunitwidth\")),d||r(\"showframe\",x)&&(r(\"framecolor\"),r(\"framewidth\")),r(\"bgcolor\"),r(\"fitbounds\")&&(delete e.projection.scale,d?(delete e.center.lon,delete e.center.lat):y?(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon,delete e.projection.rotation.lat,delete e.lonaxis.range,delete e.lataxis.range):(delete e.center.lon,delete e.center.lat,delete e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:u,fullData:r,partition:\"y\"})}},74455:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(73972),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},u={cursor:\"auto\"};function c(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],u=o._fullLayout,c=u[n],f={},h={};function p(t,e){f[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,u._preGUI,f);var r=i.nestedProperty(c,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",h)}function h(t,e){var r=c(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return r.on(\"zoomstart\",(function(){n.select(this).style(l)})).on(\"zoom\",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render(!0);var r=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":r[0],\"geo.center.lat\":r[1]})})).on(\"zoomend\",(function(){n.select(this).style(u),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,v,g=c(0,e);function y(t){return e.invert(t)}function m(r){var n=e.rotate(),i=e.invert(t.midPt);r(\"projection.rotation.lon\",-n[0]),r(\"center.lon\",i[0]),r(\"center.lat\",i[1])}return g.on(\"zoomstart\",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=y(r)})).on(\"zoom\",(function(){if(h=n.mouse(this),function(t){var r=y(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return g.scale(e.scale()),void g.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?y(h)&&(d=y(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=y(r=h),v=!0,t.render(!0);var l=e.rotate(),u=e.invert(t.midPt);t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.center.lon\":u[0],\"geo.center.lat\":u[1],\"geo.projection.rotation.lon\":-l[0]})})).on(\"zoomend\",(function(){n.select(this).style(u),v&&f(t,e,m)})),g}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},27659:function(t,e,r){\"use strict\";var n=r(73972),i=r(85555).SUBPLOT_PATTERN;e.AU=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e.a0=function(t,e){var r,i=[],a=[];if(!(r=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[i,t];for(var o=0;o<t.length;o++){var s=t[o],l=s[0].trace;!0===l.visible&&0!==l._length&&(l._module&&l._module.plot===r?i.push(s):a.push(s))}return[i,a]},e.NG=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},75071:function(t,e,r){\"use strict\";var n=r(16825),i=r(1195),a=r(48956),o=r(85555),s=r(38520);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,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.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=!1;function w(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var T=w.prototype;T.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var k=!0;T.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!k||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return k=!1,r},T.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},T.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){_=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},T.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,w=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(w,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;w.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,h,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(w,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(w,T,\"bordercolor\"),fontFamily:d.castHoverOption(w,T,\"font.family\"),fontSize:d.castHoverOption(w,T,\"font.size\"),fontColor:d.castHoverOption(w,T,\"font.color\"),nameLength:d.castHoverOption(w,T,\"namelength\"),textAlign:d.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||_)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},T.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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r=t._fullLayout,o=e.subplot,l=r[o].radialaxis,u=r[o].angularaxis,c=l.makeCalcdata(e,\"r\"),f=u.makeCalcdata(e,\"theta\"),h=e._length,p=new Array(h),d=c,v=f,g=0;g<h;g++)p[g]={p:v[g],s:d[g]};function y(t){var r=e[t];void 0!==r&&(e[\"_\"+t]=Array.isArray(r)?u.makeCalcdata(e,t):u.d2c(r,e.thetaunit))}return\"linear\"===u.type&&(y(\"width\"),y(\"offset\")),n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}),a(p,e),s(p,e),p},crossTraceCalc:function(t,e,r){for(var n=t.calcdata,i=[],a=0;a<n.length;a++){var s=n[a],c=s[0].trace;!0===c.visible&&l(c,\"bar\")&&c.subplot===r&&i.push(s)}var f=u({},e.radialaxis,{_id:\"x\"}),h=e.angularaxis;o(t,h,f,i,{mode:e.barmode,norm:e.barnorm,gap:e.bargap,groupgap:e.bargroupgap})}}},6135:function(t,e,r){\"use strict\";var n=r(71828),i=r(22184).handleRThetaDefaults,a=r(98340),o=r(55023);t.exports=function(t,e,r,s){function l(r,i){return n.coerce(t,e,o,r,i)}i(t,e,s,l)?(l(\"thetaunit\"),l(\"base\"),l(\"offset\"),l(\"width\"),l(\"text\"),l(\"hovertext\"),l(\"hovertemplate\"),a(t,e,l,r,s),n.coerceSelectionMarkerOpacity(e,l)):e.visible=!1}},27379:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(95423).getTraceColor,o=i.fillText,s=r(59150).makeHoverPointText,l=r(10869).isPtInsidePolygon;t.exports=function(t,e,r){var u=t.cd,c=u[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,v=d?l:i.isPtInsideSector,g=t.maxHoverDistance,y=p._period||2*Math.PI,m=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);if(h.range[0]>h.range[1]&&(x+=Math.PI),n.getClosest(u,(function(t){return v(m,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?g+Math.min(1,Math.abs(t.thetag1-t.thetag0)/y)-1+(t.rp1-m)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=u[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,c,t),s(_,c,f,t),t.hovertemplate=c.hovertemplate,t.color=a(c,b),t.xLabelVal=t.yLabelVal=void 0,b.s<0&&(t.idealAlign=\"left\"),[t]}}},23381:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"barpolar\",basePlotModule:r(23580),categories:[\"polar\",\"bar\",\"showLegend\"],attributes:r(55023),layoutAttributes:r(40151),supplyDefaults:r(6135),supplyLayoutDefaults:r(19860),calc:r(74692).calc,crossTraceCalc:r(74692).crossTraceCalc,plot:r(60173),colorbar:r(4898),formatLabels:r(98608),style:r(16688).style,styleOnSelect:r(16688).styleOnSelect,hoverPoints:r(27379),selectPoints:r(81974),meta:{}}},40151:function(t){\"use strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"overlay\"],dflt:\"stack\",editType:\"calc\"},bargap:{valType:\"number\",dflt:.1,min:0,max:1,editType:\"calc\"}}},19860:function(t,e,r){\"use strict\";var n=r(71828),i=r(40151);t.exports=function(t,e,r){var a,o={};function s(r,o){return n.coerce(t[a]||{},e[a],i,r,o)}for(var 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r=n.select(this),s=a.ensureSingle(r,\"g\",\"points\").selectAll(\"g.point\").data(a.identity);s.enter().append(\"g\").style(\"vector-effect\",l?\"none\":\"non-scaling-stroke\").style(\"stroke-miterlimit\",2).classed(\"point\",!0),s.exit().remove(),s.each((function(t){var e,r=n.select(this),o=t.rp0=f.c2p(t.s0),s=t.rp1=f.c2p(t.s1),l=t.thetag0=h.c2g(t.p0),d=t.thetag1=h.c2g(t.p1);if(i(o)&&i(s)&&i(l)&&i(d)&&o!==s&&l!==d){var v=f.c2g(t.s1),g=(l+d)/2;t.ct=[u.c2p(v*Math.cos(g)),c.c2p(v*Math.sin(g))],e=p(o,s,l,d)}else e=\"M0,0Z\";a.ensureSingle(r,\"path\").attr(\"d\",e)})),o.setClipUrl(r,e._hasClipOnAxisFalse?e.clipIds.forTraces:null,t)}))}},53522:function(t,e,r){\"use strict\";var 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ct,ft;(E={}).pos=E[_]=B[r],L=E.pts=nt[r].sort(f),P=(C=E[x]=L.map(h)).length,E.min=C[0],E.max=C[P-1],E.mean=o.mean(C,P),E.sd=o.stdev(C,P,E.mean),E.med=o.interp(C,.5),P%2&&(lt||ut)?(lt?(ct=C.slice(0,P/2),ft=C.slice(P/2+1)):ut&&(ct=C.slice(0,P/2+1),ft=C.slice(P/2)),E.q1=o.interp(ct,.5),E.q3=o.interp(ft,.5)):(E.q1=o.interp(C,.25),E.q3=o.interp(C,.75)),E.lf=p(E,C,P),E.uf=d(E,C,P),E.lo=v(E),E.uo=g(E);var ht=y(E,P);E.ln=E.med-ht,E.un=E.med+ht,at=Math.min(at,E.ln),ot=Math.max(ot,E.un),E.pts2=L.filter(j),M.push(E)}e._extremes[m._id]=i.findExtremes(m,e.notched?tt.concat([at,ot]):tt,{padded:!0})}return function(t,e){if(o.isArrayOrTypedArray(e.selectedpoints))for(var r=0;r<t.length;r++){for(var n=t[r].pts||[],i={},a=0;a<n.length;a++)i[n[a].i]=a;o.tagSelected(n,e,i)}}(M,e),M.length>0?(M[0].t={num:T[S],dPos:N,posLetter:_,valLetter:x,labels:{med:l(t,\"median:\"),min:l(t,\"min:\"),q1:l(t,\"q1:\"),q3:l(t,\"q3:\"),max:l(t,\"max:\"),mean:\"sd\"===e.boxmean?l(t,\"mean ± σ:\"):l(t,\"mean:\"),lf:l(t,\"lower 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g=i.distinctVals(d);\"category\"!==o.type&&\"multicategory\"!==o.type||(g.minDiff=1);var y=g.minDiff/2;n.minDtick(o,g.minDiff,g.vals[0],!0);var m=f[\"violin\"===t?\"_numViolins\":\"_numBoxes\"],x=\"group\"===f[t+\"mode\"]&&m>1,b=1-f[t+\"gap\"],_=1-f[t+\"groupgap\"];for(s=0;s<r.length;s++){var w,T,k,A,M,S,E=(u=c[r[s]])[0].trace,L=u[0].t,C=E.width,P=E.side;if(C)w=T=A=C/2,k=0;else if(w=y,x){var O=a(f,o._id)+E.orientation,I=(f._alignmentOpts[O]||{})[E.alignmentgroup]||{},D=Object.keys(I.offsetGroups||{}).length,z=D||m;T=w*b*_/z,k=2*w*(((D?E._offsetIndex:L.num)+.5)/z-.5)*b,A=w*b/z}else T=w*b*_,k=0,A=w;L.dPos=w,L.bPos=k,L.bdPos=T,L.wHover=A;var R,F,B,N,j,U,V=k+T,H=Boolean(C);if(\"positive\"===P?(M=w*(C?1:.5),R=V,S=R=k):\"negative\"===P?(M=R=k,S=w*(C?1:.5),F=V):(M=S=w,R=F=V),(E.boxpoints||E.points)&&v>0){var q=E.pointpos,G=E.jitter,Z=E.marker.size/2,Y=0;q+G>=0&&((Y=V*(q+G))>M?(H=!0,j=Z,B=Y):Y>R&&(j=Z,B=M)),Y<=M&&(B=M);var W=0;q-G<=0&&((W=-V*(q-G))>S?(H=!0,U=Z,N=W):W>F&&(U=Z,N=S)),W<=S&&(N=S)}else B=M,N=S;var X=new Array(u.length);for(l=0;l<u.length;l++)X[l]=u[l].pos;E._extremes[h]=n.findExtremes(o,X,{padded:H,vpadminus:N,vpadplus:B,vpadLinearized:!0,ppadminus:{x:U,y:j}[p],ppadplus:{x:j,y:U}[p]})}}}t.exports={crossTraceCalc:function(t,e){for(var r=t.calcdata,n=e.xaxis,i=e.yaxis,a=0;a<o.length;a++){for(var l=o[a],u=\"h\"===l?i:n,c=[],f=0;f<r.length;f++){var h=r[f],p=h[0].t,d=h[0].trace;!0!==d.visible||\"box\"!==d.type&&\"candlestick\"!==d.type||p.empty||(d.orientation||\"v\")!==l||d.xaxis!==n._id||d.yaxis!==i._id||c.push(f)}s(\"box\",t,c,u)}},setPositionOffset:s}},36411:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(7901),o=r(73927),s=r(26125),l=r(4322),u=r(53522);function c(t,e,r,a){function o(t){var e=0;return t&&t.length&&(e+=1,n.isArrayOrTypedArray(t[0])&&t[0].length&&(e+=1)),e}function s(e){return n.validate(t[e],u[e])}var c,f=r(\"y\"),h=r(\"x\");if(\"box\"===e.type){var p=r(\"q1\"),d=r(\"median\"),v=r(\"q3\");e._hasPreCompStats=p&&p.length&&d&&d.length&&v&&v.length,c=Math.min(n.minRowLength(p),n.minRowLength(d),n.minRowLength(v))}var g,y,m=o(f),x=o(h),b=m&&n.minRowLength(f),_=x&&n.minRowLength(h),w=a.calendar,T={autotypenumbers:a.autotypenumbers};if(e._hasPreCompStats)switch(String(x)+String(m)){case\"00\":var k=s(\"x0\")||s(\"dx\");g=!s(\"y0\")&&!s(\"dy\")||k?\"v\":\"h\",y=c;break;case\"10\":g=\"v\",y=Math.min(c,_);break;case\"20\":g=\"h\",y=Math.min(c,h.length);break;case\"01\":g=\"h\",y=Math.min(c,b);break;case\"02\":g=\"v\",y=Math.min(c,f.length);break;case\"12\":g=\"v\",y=Math.min(c,_,f.length);break;case\"21\":g=\"h\",y=Math.min(c,h.length,b);break;case\"11\":y=0;break;case\"22\":var A,M=!1;for(A=0;A<h.length;A++)if(\"category\"===l(h[A],w,T)){M=!0;break}if(M)g=\"v\",y=Math.min(c,_,f.length);else{for(A=0;A<f.length;A++)if(\"category\"===l(f[A],w,T)){M=!0;break}M?(g=\"h\",y=Math.min(c,h.length,b)):(g=\"v\",y=Math.min(c,_,f.length))}}else 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c=r(a+\"points\",l);c?(r(\"jitter\",\"all\"===c?.3:0),r(\"pointpos\",\"all\"===c?-1.5:0),r(\"marker.symbol\"),r(\"marker.opacity\"),r(\"marker.size\"),r(\"marker.angle\"),r(\"marker.color\",e.line.color),r(\"marker.line.color\"),r(\"marker.line.width\"),\"suspectedoutliers\"===c&&(r(\"marker.line.outliercolor\",e.marker.color),r(\"marker.line.outlierwidth\")),r(\"selected.marker.color\"),r(\"unselected.marker.color\"),r(\"selected.marker.size\"),r(\"unselected.marker.size\"),r(\"text\"),r(\"hovertext\")):delete e.marker;var f=r(\"hoveron\");\"all\"!==f&&-1===f.indexOf(\"points\")||r(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,r)}t.exports={supplyDefaults:function(t,e,r,i){function s(r,i){return n.coerce(t,e,u,r,i)}if(c(t,e,s,i),!1!==e.visible){o(t,e,i,s),s(\"xhoverformat\"),s(\"yhoverformat\");var l=e._hasPreCompStats;l&&(s(\"lowerfence\"),s(\"upperfence\")),s(\"line.color\",(t.marker||{}).color||r),s(\"line.width\"),s(\"fillcolor\",a.addOpacity(e.line.color,.5));var 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e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,x=h?(a+o)/2:f.l2p(e)+v,b=r.whiskerwidth,_=h?a*b+(1-b)*x:f.l2p(e-d)+v,w=h?o*b+(1-b)*x:f.l2p(e+d)+v,T=f.l2p(e-s*m)+v,k=f.l2p(e+l*m)+v,A=c.c2p(t.q1,!0),M=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(A,M)+1,Math.max(A,M)-1),E=void 0===t.lf||!1===r.boxpoints,L=c.c2p(E?t.min:t.lf,!0),C=c.c2p(E?t.max:t.uf,!0),P=c.c2p(t.ln,!0),O=c.c2p(t.un,!0);u?n.select(this).attr(\"d\",\"M\"+S+\",\"+T+\"V\"+k+\"M\"+A+\",\"+a+\"V\"+o+(y?\"H\"+P+\"L\"+S+\",\"+k+\"L\"+O+\",\"+o:\"\")+\"H\"+M+\"V\"+a+(y?\"H\"+O+\"L\"+S+\",\"+T+\"L\"+P+\",\"+a:\"\")+\"ZM\"+A+\",\"+x+\"H\"+L+\"M\"+M+\",\"+x+\"H\"+C+(0===g?\"\":\"M\"+L+\",\"+_+\"V\"+w+\"M\"+C+\",\"+_+\"V\"+w)):n.select(this).attr(\"d\",\"M\"+T+\",\"+S+\"H\"+k+\"M\"+a+\",\"+A+\"H\"+o+(y?\"V\"+P+\"L\"+k+\",\"+S+\"L\"+o+\",\"+O:\"\")+\"V\"+M+\"H\"+a+(y?\"V\"+O+\"L\"+T+\",\"+S+\"L\"+a+\",\"+P:\"\")+\"ZM\"+x+\",\"+A+\"V\"+L+\"M\"+x+\",\"+M+\"V\"+C+(0===g?\"\":\"M\"+_+\",\"+L+\"H\"+w+\"M\"+_+\",\"+C+\"H\"+w))}))}function s(t,e,r,n){var o=e.x,s=e.y,l=n.bdPos,u=n.bPos,c=r.boxpoints||r.points;i.seedPseudoRandom();var f=t.selectAll(\"g.points\").data(c?function(t){return t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;o*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extra Bold Italic\",\"Open Sans Extra Bold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var 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s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},9578:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var _r=function(t,e){this.type=t,this.args=e};_r.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Di.prototype.transitioned=function(t,e){for(var r=new Ri(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Di.prototype.untransitioned=function(){for(var t=new Ri(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var zi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};zi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:\"constant\",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof no||h instanceof io||h instanceof ao)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},oo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Ci||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Ci||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Bi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function ji(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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",
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",
+      "text/plain": [
+       "<Figure size 2400x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "sf.plot(Y_df,forecasts_df, engine='plotly')"
+    "sf.plot(Y_df,forecasts_df)"
    ]
   },
   {
@@ -26863,7220 +476,19 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#393b79",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
-         "x": [
-          581,
-          582,
-          583,
-          584,
-          585,
-          586,
-          587,
-          588,
-          589,
-          590,
-          591,
-          592,
-          593,
-          594,
-          595,
-          596,
-          597,
-          598,
-          599,
-          600,
-          601,
-          602,
-          603,
-          604,
-          605,
-          606,
-          607,
-          608,
-          609,
-          610,
-          611,
-          612,
-          613,
-          614,
-          615,
-          616,
-          617,
-          618,
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-          620,
-          621,
-          622,
-          623,
-          624,
-          625,
-          626,
-          627,
-          628,
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-          630,
-          631,
-          632,
-          633,
-          634,
-          635,
-          636,
-          637,
-          638,
-          639,
-          640,
-          641,
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-          643,
-          644,
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-          650,
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-          653,
-          654,
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-          656,
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-          658,
-          659,
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-          744,
-          745,
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-          752,
-          753,
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-          758,
-          759,
-          760,
-          761,
-          762,
-          763,
-          764,
-          765,
-          766,
-          767,
-          768,
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-          770,
-          771,
-          772,
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-          774,
-          775,
-          776,
-          777,
-          778,
-          779,
-          780,
-          781,
-          782,
-          783,
-          784,
-          785,
-          786,
-          787,
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",
+      "text/plain": [
+       "<Figure size 2400x350 with 2 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "# Plot to unique_ids and some selected models\n",
-    "sf.plot(Y_df, forecasts_df, models=[\"HoltWinters\",\"DynamicOptimizedTheta\"], unique_ids=[\"H10\", \"H105\"], level=[90], engine='plotly')"
+    "sf.plot(Y_df, forecasts_df, models=[\"HoltWinters\",\"DynamicOptimizedTheta\"], unique_ids=[\"H10\", \"H105\"], level=[90])"
    ]
   },
   {
@@ -34086,4554 +498,19 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "legendgroup": "y",
-         "line": {
-          "color": "#393b79",
-          "width": 1
-         },
-         "mode": "lines",
-         "name": "y",
-         "showlegend": true,
-         "type": "scatter",
-         "x": [
-          581,
-          582,
-          583,
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",
+      "text/plain": [
+       "<Figure size 2400x350 with 2 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "# Explore other models \n",
-    "sf.plot(Y_df, forecasts_df, models=[\"AutoARIMA\"], unique_ids=[\"H10\", \"H105\"], level=[90], engine='plotly')"
+    "sf.plot(Y_df, forecasts_df, models=[\"SeasonalNaive\"], unique_ids=[\"H10\", \"H105\"], level=[90])"
    ]
   },
   {
@@ -38701,7 +578,7 @@
     "    h=24,\n",
     "    step_size=24,\n",
     "    n_windows=2\n",
-    "  )"
+    ")"
    ]
   },
   {
@@ -38733,12 +610,13 @@
        ".dataframe > thead > tr > th,\n",
        ".dataframe > tbody > tr > td {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (5, 10)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>ds</th><th>cutoff</th><th>y</th><th>AutoARIMA</th><th>HoltWinters</th><th>CrostonClassic</th><th>SeasonalNaive</th><th>HistoricAverage</th><th>DynamicOptimizedTheta</th></tr><tr><td>str</td><td>i64</td><td>i64</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>701</td><td>700</td><td>619.0</td><td>603.925415</td><td>847.0</td><td>742.668762</td><td>691.0</td><td>661.674988</td><td>612.767517</td></tr><tr><td>&quot;H1&quot;</td><td>702</td><td>700</td><td>565.0</td><td>507.591736</td><td>820.0</td><td>742.668762</td><td>618.0</td><td>661.674988</td><td>536.846252</td></tr><tr><td>&quot;H1&quot;</td><td>703</td><td>700</td><td>532.0</td><td>481.281677</td><td>790.0</td><td>742.668762</td><td>563.0</td><td>661.674988</td><td>497.82428</td></tr><tr><td>&quot;H1&quot;</td><td>704</td><td>700</td><td>495.0</td><td>444.410248</td><td>784.0</td><td>742.668762</td><td>529.0</td><td>661.674988</td><td>464.723236</td></tr><tr><td>&quot;H1&quot;</td><td>705</td><td>700</td><td>481.0</td><td>421.168762</td><td>752.0</td><td>742.668762</td><td>504.0</td><td>661.674988</td><td>440.972351</td></tr></tbody></table></div>"
+       "<small>shape: (5, 9)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>ds</th><th>cutoff</th><th>y</th><th>HoltWinters</th><th>CrostonClassic</th><th>SeasonalNaive</th><th>HistoricAverage</th><th>DynamicOptimizedTheta</th></tr><tr><td>str</td><td>i64</td><td>i64</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>701</td><td>700</td><td>619.0</td><td>847.0</td><td>742.668762</td><td>691.0</td><td>661.674988</td><td>612.767517</td></tr><tr><td>&quot;H1&quot;</td><td>702</td><td>700</td><td>565.0</td><td>820.0</td><td>742.668762</td><td>618.0</td><td>661.674988</td><td>536.846252</td></tr><tr><td>&quot;H1&quot;</td><td>703</td><td>700</td><td>532.0</td><td>790.0</td><td>742.668762</td><td>563.0</td><td>661.674988</td><td>497.82428</td></tr><tr><td>&quot;H1&quot;</td><td>704</td><td>700</td><td>495.0</td><td>784.0</td><td>742.668762</td><td>529.0</td><td>661.674988</td><td>464.723236</td></tr><tr><td>&quot;H1&quot;</td><td>705</td><td>700</td><td>481.0</td><td>752.0</td><td>742.668762</td><td>504.0</td><td>661.674988</td><td>440.972351</td></tr></tbody></table></div>"
       ],
       "text/plain": [
-       "shape: (5, 10)\n",
+       "shape: (5, 9)\n",
        "┌───────────┬─────┬────────┬───────┬───┬──────────────┬──────────────┬──────────────┬──────────────┐\n",
        "│ unique_id ┆ ds  ┆ cutoff ┆ y     ┆ … ┆ CrostonClass ┆ SeasonalNaiv ┆ HistoricAver ┆ DynamicOptim │\n",
        "│ ---       ┆ --- ┆ ---    ┆ ---   ┆   ┆ ic           ┆ e            ┆ age          ┆ izedTheta    │\n",
@@ -38797,7 +675,7 @@
     "        evals.append(eval_)\n",
     "    evals = pl.concat(evals).drop('metric')\n",
     "    # Calculate the mean of each 'unique_id' group\n",
-    "    evals = evals.groupby(['unique_id'], maintain_order=True).mean() \n",
+    "    evals = evals.group_by(['unique_id'], maintain_order=True).mean() \n",
     "\n",
     "    # For each row in evals (excluding 'unique_id'), find the model with the lowest value\n",
     "    best_model = [min(row, key=row.get) for row in evals.drop('unique_id').rows(named=True)]\n",
@@ -38835,31 +713,30 @@
        ".dataframe > thead > tr > th,\n",
        ".dataframe > tbody > tr > td {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (5, 8)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>AutoARIMA</th><th>HoltWinters</th><th>CrostonClassic</th><th>SeasonalNaive</th><th>HistoricAverage</th><th>DynamicOptimizedTheta</th><th>best_model</th></tr><tr><td>str</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>str</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>1979.302368</td><td>44888.019531</td><td>28038.734375</td><td>1422.666748</td><td>20927.666016</td><td>1296.333984</td><td>&quot;DynamicOptimiz…</td></tr><tr><td>&quot;H10&quot;</td><td>458.8927</td><td>2812.916504</td><td>1483.483887</td><td>96.895828</td><td>1980.367676</td><td>379.621094</td><td>&quot;SeasonalNaive&quot;</td></tr><tr><td>&quot;H100&quot;</td><td>8629.949219</td><td>121625.375</td><td>91945.140625</td><td>12019.0</td><td>78491.195312</td><td>21699.648438</td><td>&quot;AutoARIMA&quot;</td></tr><tr><td>&quot;H101&quot;</td><td>6818.348145</td><td>28453.394531</td><td>16183.631836</td><td>10944.458008</td><td>18208.404297</td><td>63698.070312</td><td>&quot;AutoARIMA&quot;</td></tr><tr><td>&quot;H102&quot;</td><td>65489.964844</td><td>232924.84375</td><td>132655.3125</td><td>12699.896484</td><td>309110.46875</td><td>31393.519531</td><td>&quot;SeasonalNaive&quot;</td></tr></tbody></table></div>"
+       "<small>shape: (5, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>HoltWinters</th><th>CrostonClassic</th><th>SeasonalNaive</th><th>HistoricAverage</th><th>DynamicOptimizedTheta</th><th>best_model</th></tr><tr><td>str</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>f32</td><td>str</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>44888.019531</td><td>28038.734375</td><td>1422.666748</td><td>20927.666016</td><td>1296.333984</td><td>&quot;DynamicOptimiz…</td></tr><tr><td>&quot;H10&quot;</td><td>2812.916504</td><td>1483.483887</td><td>96.895828</td><td>1980.367676</td><td>379.621094</td><td>&quot;SeasonalNaive&quot;</td></tr><tr><td>&quot;H100&quot;</td><td>121625.375</td><td>91945.140625</td><td>12019.0</td><td>78491.195312</td><td>21699.648438</td><td>&quot;SeasonalNaive&quot;</td></tr><tr><td>&quot;H101&quot;</td><td>28453.394531</td><td>16183.631836</td><td>10944.458008</td><td>18208.404297</td><td>63698.070312</td><td>&quot;SeasonalNaive&quot;</td></tr><tr><td>&quot;H102&quot;</td><td>232924.84375</td><td>132655.3125</td><td>12699.896484</td><td>309110.46875</td><td>31393.519531</td><td>&quot;SeasonalNaive&quot;</td></tr></tbody></table></div>"
       ],
       "text/plain": [
-       "shape: (5, 8)\n",
-       "┌───────────┬────────────┬────────────┬────────────┬───────────┬───────────┬───────────┬───────────┐\n",
-       "│ unique_id ┆ AutoARIMA  ┆ HoltWinter ┆ CrostonCla ┆ SeasonalN ┆ HistoricA ┆ DynamicOp ┆ best_mode │\n",
-       "│ ---       ┆ ---        ┆ s          ┆ ssic       ┆ aive      ┆ verage    ┆ timizedTh ┆ l         │\n",
-       "│ str       ┆ f32        ┆ ---        ┆ ---        ┆ ---       ┆ ---       ┆ eta       ┆ ---       │\n",
-       "│           ┆            ┆ f32        ┆ f32        ┆ f32       ┆ f32       ┆ ---       ┆ str       │\n",
-       "│           ┆            ┆            ┆            ┆           ┆           ┆ f32       ┆           │\n",
-       "╞═══════════╪════════════╪════════════╪════════════╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
-       "│ H1        ┆ 1979.30236 ┆ 44888.0195 ┆ 28038.7343 ┆ 1422.6667 ┆ 20927.666 ┆ 1296.3339 ┆ DynamicOp │\n",
-       "│           ┆ 8          ┆ 31         ┆ 75         ┆ 48        ┆ 016       ┆ 84        ┆ timizedTh │\n",
-       "│           ┆            ┆            ┆            ┆           ┆           ┆           ┆ eta       │\n",
-       "│ H10       ┆ 458.8927   ┆ 2812.91650 ┆ 1483.48388 ┆ 96.895828 ┆ 1980.3676 ┆ 379.62109 ┆ SeasonalN │\n",
-       "│           ┆            ┆ 4          ┆ 7          ┆           ┆ 76        ┆ 4         ┆ aive      │\n",
-       "│ H100      ┆ 8629.94921 ┆ 121625.375 ┆ 91945.1406 ┆ 12019.0   ┆ 78491.195 ┆ 21699.648 ┆ AutoARIMA │\n",
-       "│           ┆ 9          ┆            ┆ 25         ┆           ┆ 312       ┆ 438       ┆           │\n",
-       "│ H101      ┆ 6818.34814 ┆ 28453.3945 ┆ 16183.6318 ┆ 10944.458 ┆ 18208.404 ┆ 63698.070 ┆ AutoARIMA │\n",
-       "│           ┆ 5          ┆ 31         ┆ 36         ┆ 008       ┆ 297       ┆ 312       ┆           │\n",
-       "│ H102      ┆ 65489.9648 ┆ 232924.843 ┆ 132655.312 ┆ 12699.896 ┆ 309110.46 ┆ 31393.519 ┆ SeasonalN │\n",
-       "│           ┆ 44         ┆ 75         ┆ 5          ┆ 484       ┆ 875       ┆ 531       ┆ aive      │\n",
-       "└───────────┴────────────┴────────────┴────────────┴───────────┴───────────┴───────────┴───────────┘"
+       "shape: (5, 7)\n",
+       "┌───────────┬──────────────┬──────────────┬──────────────┬─────────────┬─────────────┬─────────────┐\n",
+       "│ unique_id ┆ HoltWinters  ┆ CrostonClass ┆ SeasonalNaiv ┆ HistoricAve ┆ DynamicOpti ┆ best_model  │\n",
+       "│ ---       ┆ ---          ┆ ic           ┆ e            ┆ rage        ┆ mizedTheta  ┆ ---         │\n",
+       "│ str       ┆ f32          ┆ ---          ┆ ---          ┆ ---         ┆ ---         ┆ str         │\n",
+       "│           ┆              ┆ f32          ┆ f32          ┆ f32         ┆ f32         ┆             │\n",
+       "╞═══════════╪══════════════╪══════════════╪══════════════╪═════════════╪═════════════╪═════════════╡\n",
+       "│ H1        ┆ 44888.019531 ┆ 28038.734375 ┆ 1422.666748  ┆ 20927.66601 ┆ 1296.333984 ┆ DynamicOpti │\n",
+       "│           ┆              ┆              ┆              ┆ 6           ┆             ┆ mizedTheta  │\n",
+       "│ H10       ┆ 2812.916504  ┆ 1483.483887  ┆ 96.895828    ┆ 1980.367676 ┆ 379.621094  ┆ SeasonalNai │\n",
+       "│           ┆              ┆              ┆              ┆             ┆             ┆ ve          │\n",
+       "│ H100      ┆ 121625.375   ┆ 91945.140625 ┆ 12019.0      ┆ 78491.19531 ┆ 21699.64843 ┆ SeasonalNai │\n",
+       "│           ┆              ┆              ┆              ┆ 2           ┆ 8           ┆ ve          │\n",
+       "│ H101      ┆ 28453.394531 ┆ 16183.631836 ┆ 10944.458008 ┆ 18208.40429 ┆ 63698.07031 ┆ SeasonalNai │\n",
+       "│           ┆              ┆              ┆              ┆ 7           ┆ 2           ┆ ve          │\n",
+       "│ H102      ┆ 232924.84375 ┆ 132655.3125  ┆ 12699.896484 ┆ 309110.4687 ┆ 31393.51953 ┆ SeasonalNai │\n",
+       "│           ┆              ┆              ┆              ┆ 5           ┆ 1           ┆ ve          │\n",
+       "└───────────┴──────────────┴──────────────┴──────────────┴─────────────┴─────────────┴─────────────┘"
       ]
      },
      "execution_count": null,
@@ -38869,7 +746,6 @@
    ],
    "source": [
     "evaluation_df = evaluate_cross_validation(crossvaldation_df, mse)\n",
-    "\n",
     "evaluation_df.head()"
    ]
   },
@@ -38892,20 +768,20 @@
        ".dataframe > thead > tr > th,\n",
        ".dataframe > tbody > tr > td {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (3, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>Model</th><th>Nr. of unique_ids</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>&quot;DynamicOptimiz…</td><td>2</td></tr><tr><td>&quot;SeasonalNaive&quot;</td><td>4</td></tr><tr><td>&quot;AutoARIMA&quot;</td><td>4</td></tr></tbody></table></div>"
+       "<small>shape: (2, 2)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>Model</th><th>Nr. of unique_ids</th></tr><tr><td>str</td><td>u32</td></tr></thead><tbody><tr><td>&quot;DynamicOptimiz…</td><td>4</td></tr><tr><td>&quot;SeasonalNaive&quot;</td><td>6</td></tr></tbody></table></div>"
       ],
       "text/plain": [
-       "shape: (3, 2)\n",
+       "shape: (2, 2)\n",
        "┌───────────────────────┬───────────────────┐\n",
        "│ Model                 ┆ Nr. of unique_ids │\n",
        "│ ---                   ┆ ---               │\n",
        "│ str                   ┆ u32               │\n",
        "╞═══════════════════════╪═══════════════════╡\n",
-       "│ DynamicOptimizedTheta ┆ 2                 │\n",
-       "│ SeasonalNaive         ┆ 4                 │\n",
-       "│ AutoARIMA             ┆ 4                 │\n",
+       "│ DynamicOptimizedTheta ┆ 4                 │\n",
+       "│ SeasonalNaive         ┆ 6                 │\n",
        "└───────────────────────┴───────────────────┘"
       ]
      },
@@ -38919,7 +795,7 @@
     "\n",
     "summary_df = (\n",
     "    evaluation_df\n",
-    "    .groupby('best_model')\n",
+    "    .group_by('best_model')\n",
     "    .n_unique()\n",
     "    [select_cols]\n",
     "    .sort(by='unique_id')\n",
@@ -38943,6461 +819,19 @@
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+      "text/plain": [
+       "<Figure size 2400x1050 with 6 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "seasonal_ids = evaluation_df.filter(pl.col('best_model') == 'SeasonalNaive')['unique_id']\n",
-    "\n",
-    "sf.plot(Y_df,forecasts_df, unique_ids=seasonal_ids, models=[\"SeasonalNaive\",\"DynamicOptimizedTheta\"], engine='plotly')"
+    "sf.plot(Y_df,forecasts_df, unique_ids=seasonal_ids, models=[\"SeasonalNaive\",\"DynamicOptimizedTheta\"])"
    ]
   },
   {
@@ -45495,6 +929,7 @@
        ".dataframe > thead > tr > th,\n",
        ".dataframe > tbody > tr > td {\n",
        "  text-align: right;\n",
+       "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
        "<small>shape: (5, 5)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>unique_id</th><th>ds</th><th>best_model</th><th>best_model-lo-90</th><th>best_model-hi-90</th></tr><tr><td>str</td><td>i64</td><td>f32</td><td>f32</td><td>f32</td></tr></thead><tbody><tr><td>&quot;H1&quot;</td><td>749</td><td>592.701843</td><td>577.677307</td><td>611.652649</td></tr><tr><td>&quot;H1&quot;</td><td>750</td><td>525.589111</td><td>505.449738</td><td>546.621826</td></tr><tr><td>&quot;H1&quot;</td><td>751</td><td>489.251801</td><td>462.072876</td><td>512.424133</td></tr><tr><td>&quot;H1&quot;</td><td>752</td><td>456.195038</td><td>430.554291</td><td>478.260956</td></tr><tr><td>&quot;H1&quot;</td><td>753</td><td>436.290527</td><td>411.051239</td><td>461.815948</td></tr></tbody></table></div>"
@@ -45521,7 +956,6 @@
    ],
    "source": [
     "prod_forecasts_df = get_best_model_forecast(forecasts_df, evaluation_df)\n",
-    "\n",
     "prod_forecasts_df.head()"
    ]
   },
@@ -45539,15491 +973,18 @@
    "outputs": [
     {
      "data": {
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-       },
-       "data": [
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",
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+      "text/plain": [
+       "<Figure size 2400x1400 with 8 Axes>"
       ]
      },
+     "execution_count": null,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "sf.plot(Y_df, prod_forecasts_df, level=[90], engine='plotly')"
+    "sf.plot(Y_df, prod_forecasts_df, level=[90])"
    ]
   }
  ],
diff --git a/nbs/src/ces.ipynb b/nbs/src/ces.ipynb
index ac77f229d..b5f9d4a8b 100644
--- a/nbs/src/ces.ipynb
+++ b/nbs/src/ces.ipynb
@@ -1148,14 +1148,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "#| hide\n",
     "import matplotlib.pyplot as plt"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
diff --git a/nbs/src/core/core.ipynb b/nbs/src/core/core.ipynb
index 774e36710..3509ef98d 100644
--- a/nbs/src/core/core.ipynb
+++ b/nbs/src/core/core.ipynb
@@ -2039,6 +2039,17 @@
     "panel_df.groupby('unique_id').tail(4)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c3c3890-9006-4071-9f96-aea42ef62db9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if 'NIXTLA_ID_AS_COL' in os.environ:\n",
+    "    del os.environ['NIXTLA_ID_AS_COL']"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/nbs/src/ets.ipynb b/nbs/src/ets.ipynb
index 18f760b90..30d8cb85f 100644
--- a/nbs/src/ets.ipynb
+++ b/nbs/src/ets.ipynb
@@ -1737,14 +1737,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "#| hide\n",
     "import matplotlib.pyplot as plt\n"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
diff --git a/nbs/src/garch.ipynb b/nbs/src/garch.ipynb
index 24fe4e092..5e84cede2 100644
--- a/nbs/src/garch.ipynb
+++ b/nbs/src/garch.ipynb
@@ -24,15 +24,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "#| hide\n",
     "\n",
     "warnings.simplefilter('ignore')\n"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
diff --git a/nbs/src/theta.ipynb b/nbs/src/theta.ipynb
index 599d90c96..e78f2e94a 100644
--- a/nbs/src/theta.ipynb
+++ b/nbs/src/theta.ipynb
@@ -1087,14 +1087,12 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "#| hide\n",
     "import matplotlib.pyplot as plt"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",
diff --git a/nbs/src/utils.ipynb b/nbs/src/utils.ipynb
index 2701531a1..f7134812b 100644
--- a/nbs/src/utils.ipynb
+++ b/nbs/src/utils.ipynb
@@ -215,13 +215,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from statsforecast.utils import AirPassengersDF"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "code",