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    "<p align=\"center\">\n",
    "  <a href=\"https://github.com/SimonBlanke/Hyperactive\"><img src=\"./images/logo.png\" width=\"500px\"></a>\n",
    "</p>\n",
    "\n",
    "<br>\n",
    "<br>\n",
    "\n",
    "<font size=\"4\">\n",
    "\n",
    "# Tutorial for Hyperactive (v4)\n",
    "    \n",
    "    \n",
    "This is a tutorial to introduce you to the basic functionalities of Hyperactive and provide some interesting applications. It will also give an introduction to some optimization techniques. Hyperactive is a package that can optimize any python function and collect its search data. \n",
    "\n",
    "### [You can learn more about Hyperactive on Github](https://github.com/SimonBlanke/Hyperactive)\n",
    " \n",
    "## Table of contents:\n",
    "* [Introduction](#intro)\n",
    "    \n",
    "* Optimization basics:\n",
    "    * [Convex Optimization](#convex)\n",
    "    * [Non-convex Optimization](#non_convex)\n",
    "    \n",
    "* Advanced Usage:\n",
    "    * [Hyperactive memory](#memory)\n",
    "    * [Machine Learning Optimization](#machine_learning)\n",
    "    * [Continuing the search](#continuing-search)\n",
    "    * [Parallel Computing](#parallel-comp)\n",
    "    * [Data collection](#data_collect)\n",
    "    * [Multiple objectives](#multi_objectives)\n",
    "    * [Non-numerical search space](#search_space)    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8beda744",
   "metadata": {},
   "source": [
    "<font size=\"5\">\n",
    "\n",
    "This tutorial is made for version 4 of Hyperactive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "technical-logging",
   "metadata": {},
   "outputs": [],
   "source": [
    "def warn(*args, **kwargs):\n",
    "    pass\n",
    "import warnings\n",
    "warnings.warn = warn\n",
    "\n",
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from sklearn.preprocessing import Normalizer, MinMaxScaler\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "from sklearn.neural_network import MLPClassifier\n",
    "from sklearn.gaussian_process.kernels import Matern, WhiteKernel, RBF, ConstantKernel\n",
    "\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.datasets import load_wine, load_iris\n",
    "\n",
    "from hyperactive import Hyperactive\n",
    "from hyperactive.optimizers import BayesianOptimizer, HillClimbingOptimizer\n",
    "from surfaces.visualize import plotly_surface, plotly_heatmap\n",
    "\n",
    "color_scale = px.colors.sequential.Jet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "smart-edwards",
   "metadata": {},
   "outputs": [],
   "source": [
    "def _create_grid(objective_function, search_space):\n",
    "    def objective_function_np(*args):\n",
    "        para = {}\n",
    "        for arg, key in zip(args, search_space.keys()):\n",
    "            para[key] = arg\n",
    "\n",
    "        return objective_function(para)\n",
    "\n",
    "    (x_all, y_all) = search_space.values()\n",
    "    xi, yi = np.meshgrid(x_all, y_all)\n",
    "    zi = objective_function_np(xi, yi)\n",
    "\n",
    "    return xi, yi, zi\n",
    "\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "def compare_objective_functions(objective_function1, objective_function2):\n",
    "    search_space_plot = {\n",
    "        \"x\": list(np.arange(-5, 5, 0.2)),\n",
    "        \"y\": list(np.arange(-5, 5, 0.2)),\n",
    "    }\n",
    "\n",
    "    xi_c, yi_c, zi_c = _create_grid(objective_function1, search_space_plot)\n",
    "    xi_a, yi_a, zi_a = _create_grid(objective_function2, search_space_plot)\n",
    "\n",
    "    fig1 = go.Surface(x=xi_c, y=yi_c, z=zi_c, colorscale=color_scale)\n",
    "    fig2 = go.Surface(x=xi_a, y=yi_a, z=zi_a, colorscale=color_scale)\n",
    "\n",
    "    fig = make_subplots(rows=1, cols=2,\n",
    "                        specs=[[{'is_3d': True}, {'is_3d': True}]],\n",
    "                        subplot_titles=['Convex Function', 'Non-convex Function'],\n",
    "                        )\n",
    "\n",
    "    fig.add_trace(fig1, 1, 1)\n",
    "    fig.add_trace(fig2, 1, 2)\n",
    "    fig.update_layout(title_text=\"Objective Function Surface\")\n",
    "    fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "blessed-faith",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "moving-adapter",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = load_wine()\n",
    "X_boston, y_boston = data.data, data.target\n",
    "\n",
    "data = load_iris()\n",
    "X_iris, y_iris = data.data, data.target"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "loaded-engagement",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "## Introduction <a class=\"anchor\" id=\"intro\"></a>\n",
    "    \n",
    "There are two things you need to define before starting your first optimization run:\n",
    "    \n",
    "    - the objective function: \n",
    "        Contains some kind of model. It always returns a score that will be maximized during\n",
    "    - a search space: \n",
    "        Defines the parameter space in which the optimizer searches for the best parameter set\n",
    "    \n",
    "In this notebook you will see several different examples for objective functions. \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "provincial-canvas",
   "metadata": {},
   "outputs": [],
   "source": [
    "def objective_function(para):\n",
    "    loss = para[\"x\"]*para[\"x\"]\n",
    "    # -x*x is an inverted parabola \n",
    "    return -loss\n",
    "\n",
    "# We have only one dimension here\n",
    "search_space = {\n",
    "    \"x\": list(np.arange(-5, 5, 0.01)),\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "similar-questionnaire",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "In the next step we will start the optimization run.\n",
    "\n",
    "You only need the objective_function, search_space and the number of iterations. Each iteration will evaluate the objective function. This will generate a score, that the optimization algorithm uses to determine which position in the search space to look next. All of the calculations will be done by Hyperactive in the background. You will receive the results of the optimization run when all iterations are done."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "genetic-lotus",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-2.45</td>\n",
       "      <td>-6.0025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.04</td>\n",
       "      <td>-4.1616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.99</td>\n",
       "      <td>-24.9001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-5.00</td>\n",
       "      <td>-25.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.33</td>\n",
       "      <td>-5.4289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>0.98</td>\n",
       "      <td>-0.9604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>1.90</td>\n",
       "      <td>-3.6100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>0.51</td>\n",
       "      <td>-0.2601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>-3.59</td>\n",
       "      <td>-12.8881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>-3.89</td>\n",
       "      <td>-15.1321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       x    score\n",
       "0  -2.45  -6.0025\n",
       "1   2.04  -4.1616\n",
       "2   4.99 -24.9001\n",
       "3  -5.00 -25.0000\n",
       "4   2.33  -5.4289\n",
       "..   ...      ...\n",
       "65  0.98  -0.9604\n",
       "66  1.90  -3.6100\n",
       "67  0.51  -0.2601\n",
       "68 -3.59 -12.8881\n",
       "69 -3.89 -15.1321\n",
       "\n",
       "[70 rows x 2 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
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    }
   ],
   "source": [
    "hyper_0 = Hyperactive(verbosity=False)\n",
    "hyper_0.add_search(objective_function, search_space, n_iter=70, initialize={\"random\": 2, \"vertices\": 2})\n",
    "hyper_0.run()\n",
    "\n",
    "search_data_0 = hyper_0.search_data(objective_function)\n",
    "search_data_0[[\"x\", \"score\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "connected-nerve",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "In the table above you can see the 70 iterations performed during the run. This is called the **search data**. In each row you can see the parameter ```x``` and the corresponding score. As we previously discussed the optimization algorithm determines which position to select next based on the score from the evaluated objective function. \n",
    "\n",
    "When Hyperactive starts the optimization the **first iterations are initializations** from the ```initialize```-dictionary. In the example above there are 4 initializations (2 random and 2 vertices). They determine the initial positions in the search space that are used to evaluate the objective funtion. As you can see in the search data the 2. and 3. iteration are the vertices (edge points) of the search space. The 0. and 1.\n",
    "The first rows of the search data are randomly selected. After those few initialization steps the optimization algorithm will select the next positions in the search space based on the score of the previous position(s).\n",
    "    \n",
    "The default algorithm for the optimization is the **random-search**. You can see the random pattern in the last few iterations of the search data. We can also see the random pattern if we plot the search data:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fancy-terrain",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "### Random Search Optimizer\n",
    "    \n",
    "The random search optimizer is a very simple algorithm. It randomly selects the position in each iteration without adapting to the optimization problem (exploitation). One the other hand it is very useful to initialy explore the search space or find new regions with optima (exploration).\n",
    "    \n",
    "The following two gifs show how random search explores the search space for two different objective functions:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sweet-enough",
   "metadata": {},
   "source": [
    "<table><tr>\n",
    "<td> <img src=\"./images/random_convex.gif\"/> </td>\n",
    "<td> <img src=\"./images/random_nonconvex.gif\"/> </td>\n",
    "</tr></table>"
   ]
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n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var 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a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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n=r(94724),i=r(25376),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({orientation:{valType:\"enumerated\",values:[\"h\",\"v\"],dflt:\"v\"},thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"]},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"]},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.minor.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside 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x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var M=r.font,S={noAutotickangles:!0,outerTicks:!1,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(f,c,h,\"linear\",S),s(f,c,h,\"linear\",S),o(f,c,h,\"linear\",S),h(\"title.text\",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{weight:M.weight,style:M.style,variant:M.variant,color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,\"title.font\",L),h(\"title.side\",g?\"top\":\"right\")}},37848:function(t,e,r){\"use strict\";var n=r(33428),i=r(49760),a=r(7316),o=r(24040),s=r(54460),l=r(86476),u=r(3400),c=u.strTranslate,f=r(92880).extendFlat,h=r(93972),p=r(43616),d=r(76308),v=r(81668),g=r(72736),y=r(94288).flipScale,m=r(28336),x=r(37668),b=r(94724),_=r(84284),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(63964).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,z=o?e.y:1-e.y,D=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),H=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=D?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:z*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:z-it*J,ot=o?z-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:\"y\"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,q);lt.position=J+(o?I+P/B.w:z+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=z+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=W.start;var ct=W.size,ft=u.constrain($/50,4,15)+1,ht=(q[1]-q[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*z+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+K+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-K-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var 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rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=[],gt=[],yt={hLinePoint:null,vLinePoint:null},mt=!1;if(Array.isArray(e))for(M=\"array\",it=0;it<e.length;it++)(ot=t.calcdata[e[it].curveNumber||0])&&(st=ot[0].trace,\"skip\"!==ot[0].trace.hoverinfo&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0)));else{var xt,bt,_t=t.calcdata.slice();for(_t.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),at=0;at<_t.length;at++)ot=_t[at],\"skip\"!==(st=ot[0].trace).hoverinfo&&m.isTraceInSubplots(st,x)&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var wt=l.getBoundingClientRect();xt=e.clientX-wt.left,bt=e.clientY-wt.top,b._calcInverseTransform(t);var Tt=o.apply3DTransform(b._invTransform)(xt,bt);if(xt=Tt[0],bt=Tt[1],xt<0||xt>Z[0]._length||bt<0||bt>K[0]._length)return v.unhoverRaw(t,e)}else xt=\"xpx\"in e?e.xpx:Z[0]._length/2,bt=\"ypx\"in e?e.ypx:K[0]._length/2;if(e.pointerX=xt+Z[0]._offset,e.pointerY=bt+K[0]._offset,rt=\"xval\"in e?m.flat(x,e.xval):m.p2c(Z,xt),nt=\"yval\"in e?m.flat(x,e.yval):m.p2c(K,bt),!i(rt[0])||!i(nt[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var kt=1/0;function At(r,n){for(at=0;at<gt.length;at++)if((ot=gt[at])&&ot[0]&&ot[0].trace&&!0===(st=ot[0].trace).visible&&0!==st._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(st._module.name)){if(ct=M,m.isUnifiedHover(ct)&&(ct=ct.charAt(0)),\"splom\"===st.type?lt=x[ut=0]:(lt=m.getSubplot(st),ut=x.indexOf(lt)),pt={cd:ot,trace:st,xa:Z[ut],ya:K[ut],maxHoverDistance:tt,maxSpikeDistance:et,index:!1,distance:Math.min(kt,tt),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:st.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[lt]&&(pt.subplot=b[lt]._subplot),b._splomScenes&&b._splomScenes[st.uid]&&(pt.scene=b._splomScenes[st.uid]),\"array\"===ct){var a=e[at];\"pointNumber\"in a?(pt.index=a.pointNumber,ct=\"closest\"):(ct=\"\",\"xval\"in a&&(ft=a.xval,ct=\"x\"),\"yval\"in a&&(ht=a.yval,ct=ct?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,ht=n):(ft=rt[ut],ht=nt[ut]);if(dt=vt.length,0!==tt)if(st._module&&st._module.hoverPoints){var s=st._module.hoverPoints(pt,ft,ht,ct,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:_,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&vt.push(B(l,M))}else o.log(\"Unrecognized trace type in hover:\",st);if(\"closest\"===M&&vt.length>dt&&(vt.splice(0,dt),kt=vt[0].distance),A&&0!==et&&0===vt.length){pt.distance=et,pt.index=!1;var c=st._module.hoverPoints(pt,ft,ht,\"closest\",{hoverLayer:b._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=et}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=St(p),(!yt.vLinePoint||yt.vLinePoint.spikeDistance>f.spikeDistance)&&(yt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=St(g),(!yt.hLinePoint||yt.hLinePoint.spikeDistance>f.spikeDistance)&&(yt.hLinePoint=f))}}}}}function Mt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function St(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}At();var Et={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,Ct={vLinePoint:yt.vLinePoint,hLinePoint:yt.hLinePoint};t._spikepoints=Ct;var Pt=function(){var t=vt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=vt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),vt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];y.traceIs(s.trace,\"bar-like\")||y.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(vt=t.concat(e),M)};Pt();var Ot=M.charAt(0),It=(\"x\"===Ot||\"y\"===Ot)&&vt[0]&&C[vt[0].trace.type];if(A&&0!==et&&0!==vt.length){var zt=Mt(vt.filter((function(t){return t.ya.showspikes})),et,It);yt.hLinePoint=St(zt);var Dt=Mt(vt.filter((function(t){return t.xa.showspikes})),et,It);yt.vLinePoint=St(Dt)}if(0===vt.length){var Rt=v.unhoverRaw(t,e);return!A||null===yt.hLinePoint&&null===yt.vLinePoint||j(Lt)&&N(t,yt,Et),Rt}if(A&&j(Lt)&&N(t,yt,Et),m.isXYhover(ct)&&0!==vt[0].length&&\"splom\"!==vt[0].trace.type){var Ft=vt[0],Bt=(vt=L[Ft.trace.type]?vt.filter((function(t){return t.trace.index===Ft.trace.index})):[Ft]).length;At(V(\"x\",Ft,b),V(\"y\",Ft,b));var Nt,jt=[],Ut={},Vt=0,qt=function(t){var e=L[t.trace.type]?O(t):t.trace.index;if(Ut[e]){var r=Ut[e]-1,n=jt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(jt[r]=t)}else Vt++,Ut[e]=Vt,jt.push(t)};for(Nt=0;Nt<Bt;Nt++)qt(vt[Nt]);for(Nt=vt.length-1;Nt>Bt-1;Nt--)qt(vt[Nt]);vt=jt,Pt()}var Ht=t._hoverdata,Gt=[],Wt=q(t),Yt=H(t);for(it=0;it<vt.length;it++){var Xt=vt[it],Zt=m.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Kt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Kt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Kt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Jt=Xt.x0+Xt.xa._offset,$t=Xt.x1+Xt.xa._offset,Qt=Xt.y0+Xt.ya._offset,te=Xt.y1+Xt.ya._offset,ee=Math.min(Jt,$t),re=Math.max(Jt,$t),ne=Math.min(Qt,te),ie=Math.max(Qt,te);Zt.bbox={x0:ee+Yt,x1:re+Yt,y0:ne+Wt,y1:ie+Wt}}Xt.eventData=[Zt],Gt.push(Zt)}t._hoverdata=Gt;var ae=\"y\"===M&&(gt.length>1||vt.length>1)||\"closest\"===M&&mt&&vt.length>1,oe=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),se=z(vt,{gd:t,hovermode:M,rotateLabels:ae,bgColor:oe,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),le=se.hoverLabels;if(m.isUnifiedHover(M)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function A(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=R(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(S+p.y)-T(t.by/2-S))+T(t.by);else{var M=w(A*S+p.x),E=M+w(A*t.bx);u=t.crossPos+Math.min(M,E),c=t.crossPos+Math.max(M,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?k:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],E=g[s+1],L=M[M.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(M.push.apply(M,E),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(le,ae,b,se.commonLabelBoundingBox),F(le,ae,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=y.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Gt);h(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Ht)&&(Ht&&t.emit(\"plotly_unhover\",{event:e,points:Ht}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:Z,yaxes:K,xvals:rt,yvals:nt}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=q(i),o=H(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(y.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,m=g.offsetLeft,x=g.offsetTop;c+=m,f+=m,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)})).each((function(t){t.offset-=u})),F(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var I=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||x.HOVERFONT,k=e.fontSize||x.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,L=e.fontVariant||i.font.variant,C=t[0],P=C.xa,I=C.ya,z=a.charAt(0),R=z+\"Label\",F=C[R];if(void 0===F&&\"multicategory\"===P.type)for(var B=0;B<t.length&&void 0===(F=t[B][R]);B++);var N=G(r,v),j=N.top,U=N.width,V=N.height,q=void 0!==F&&C.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(q){var H,W,Y=!0;for(H=0;H<t.length;H++)if(Y&&void 0===t[H].zLabel&&(Y=!1),W=t[H].hoverinfo||t[H].trace.hoverinfo){var X=Array.isArray(W)?W:W.split(\"+\");if(-1===X.indexOf(\"all\")&&-1===X.indexOf(a)){q=!1;break}}Y&&(q=!1)}var Z=h.selectAll(\"g.axistext\").data(q?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var K={minX:0,maxX:0,minY:0,maxY:0};if(Z.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v={weight:g.font.weight||A,style:g.font.style||M,variant:g.font.variant||L,family:g.font.family||T,size:g.font.size||k,color:g.font.color||h};e.style({fill:u,stroke:c}),s.text(F).call(p.font,v).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var y,m,x=G(r,s.node());if(\"x\"===a){var b=\"top\"===P.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===P.side?j-x.bottom-S-E:j-x.top+S+E),y=P._offset+(C.x0+C.x1)/2,m=I._offset+(\"top\"===P.side?0:I._length);var _=x.width/2+E,w=y;y<_?w=_:y>i.width-_&&(w=i.width-_),e.attr(\"d\",\"M\"+(y-w)+\",0L\"+(y-w+S)+\",\"+b+S+\"H\"+_+\"v\"+b+(2*E+x.height)+\"H\"+-_+\"V\"+b+S+\"H\"+(y-w-S)+\"Z\"),y=w,K.minX=y-_,K.maxX=y+_,\"top\"===P.side?(K.minY=m-(2*E+x.height),K.maxY=m-E):(K.minY=m+E,K.maxY=m+(2*E+x.height))}else{var O,z,D;\"right\"===I.side?(O=\"start\",z=1,D=\"\",y=P._offset+P._length):(O=\"end\",z=-1,D=\"-\",y=P._offset),m=I._offset+(C.y0+C.y1)/2,s.attr(\"text-anchor\",O),e.attr(\"d\",\"M0,0L\"+D+S+\",\"+S+\"V\"+(E+x.height/2)+\"h\"+D+(2*E+x.width)+\"V-\"+(E+x.height/2)+\"H\"+D+S+\"V-\"+S+\"Z\"),K.minY=m-(E+x.height/2),K.maxY=m+(E+x.height/2),\"right\"===I.side?(K.minX=y+S,K.maxX=y+S+(2*E+x.width)):(K.minX=y-S-(2*E+x.width),K.maxX=y-S);var R,B=x.height/2,N=j-x.top-B,U=\"clip\"+i._uid+\"commonlabel\"+I._id;if(y<x.width+2*E+S){R=\"M-\"+(S+E)+\"-\"+B+\"h-\"+(x.width-E)+\"V\"+B+\"h\"+(x.width-E)+\"Z\";var V=x.width-y+E;f.positionText(s,V,N),\"end\"===O&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=G(r,e.node());Math.round(i.width)<Math.round(x.width)&&t.attr(\"x\",V-i.width),e.remove()}))}else f.positionText(s,z*(E+S),N),R=null;var q=i._topclips.selectAll(\"#\"+U).data(R?[0]:[]);q.enter().append(\"clipPath\").attr(\"id\",U).append(\"path\"),q.exit().remove(),q.select(\"path\").attr(\"d\",R),p.setClipUrl(s,R?U:null,r)}t.attr(\"transform\",l(y,m))})),m.isUnifiedHover(a)){h.selectAll(\"g.hovertext\").remove();var J=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===J.length)return[];var $=i.hoverlabel,Q=$.font,tt={showlegend:!0,legend:{title:{text:F,font:Q},font:Q,bgcolor:$.bgcolor,bordercolor:$.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},et={font:Q};b(tt,et,r._fullData);var rt=et.legend;rt.entries=[];for(var nt=0;nt<J.length;nt++){var it=J[nt];if(\"none\"!==it.hoverinfo){var at=D(it,!0,a,i,F),ot=at[0],st=at[1];it.name=st,it.text=\"\"!==st?st+\" : \"+ot:ot;var lt=it.cd[it.index];lt&&(lt.mc&&(it.mc=lt.mc),lt.mcc&&(it.mc=lt.mcc),lt.mlc&&(it.mlc=lt.mlc),lt.mlcc&&(it.mlc=lt.mlcc),lt.mlw&&(it.mlw=lt.mlw),lt.mrc&&(it.mrc=lt.mrc),lt.dir&&(it.dir=lt.dir)),it._distinct=!0,rt.entries.push([it])}}rt.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),rt.layer=h,rt._inHover=!0,rt._groupTitleFont=$.grouptitlefont,_(r,rt);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function N(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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O=S,I=E;S=k?i.constrain(S,0,d.width-h._width):O,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==O&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var z=h._effHeight;T&&(z=h._height),U.attr({width:h._width-_,height:z-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:z-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,D,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(){var t=u.getTranslate(N);m=t.x,x=t.y},moveFn:function(t,r){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function P(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function O(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,z=k&&k.length,D=[];if(z)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(z)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],z=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||y?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==O.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(I)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],P=l._rl[1],O=P-C;if(l.p2d=function(t){return t/l._width*O+C},l.d2p=function(t){return(t-C)/O*l._width},r.rangebreaks){var I=r.locateBreaks(C,P);if(I.length){var z,D,R=0;for(z=0;z<I.length;z++)R+=(D=I[z]).max-D.min;var F=l._width/(P-C-R),B=[-F*C];for(z=0;z<I.length;z++)D=I[z],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},23640:function(t,e,r){\"use strict\";var n=r(9856).readPaths,i=r(55496),a=r(1936).clearOutlineControllers,o=r(76308),s=r(43616),l=r(31780).arrayEditor,u=r(65152),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),z=I.MINSELECT,D=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var 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n=r(3400),i=r(54460),a=r(72736),o=r(43616),s=r(9856).readPaths,l=r(65152),u=l.getPathString,c=r(97728),f=r(84284).FROM_TL;t.exports=function(t,e,r,h){if(h.selectAll(\".shape-label\").remove(),r.label.text||r.label.texttemplate){var p;if(r.label.texttemplate){var d={};if(\"path\"!==r.type){var v=i.getFromId(t,r.xref),g=i.getFromId(t,r.yref);for(var y in c){var m=c[y](r,v,g);void 0!==m&&(d[y]=m)}}p=n.texttemplateStringForShapes(r.label.texttemplate,{},t._fullLayout._d3locale,d)}else p=r.label.text;var x,b,_,w,T={\"data-index\":e},k=r.label.font,A=h.append(\"g\").attr(T).classed(\"shape-label\",!0).append(\"text\").attr({\"data-notex\":1}).classed(\"shape-label-text\",!0).text(p);if(r.path){var M=u(t,r),S=s(M,t);x=1/0,_=1/0,b=-1/0,w=-1/0;for(var E=0;E<S.length;E++)for(var L=0;L<S[E].length;L++)for(var C=S[E][L],P=1;P<C.length;P+=2){var O=C[P],I=C[P+1];x=Math.min(x,O),b=Math.max(b,O),_=Math.min(_,I),w=Math.max(w,I)}}else{var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],z=n[s][2],D=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(z=v(y.yaxis,z),D=v(y.yaxis,D),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(z+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-D+R-z)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function W(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=D(K,y),at=D(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},64859:function(t,e,r){\"use strict\";var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*D);var 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p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,z,D,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,z=null,D=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==z?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function u(t){return c(o?r:n,+t,!0).text}var f,h,p=i.textinfo,d=t[e],v=p.split(\"+\"),g=[],y=function(t){return-1!==v.indexOf(t)};if(y(\"label\")&&g.push((h=t[e].p,c(o?n:r,h,!0).text)),y(\"text\")&&(0===(f=a.castOption(i,d.i,\"text\"))||f)&&g.push(f),s){var m=+d.rawS||d.s,x=d.v,b=x-m;y(\"initial\")&&g.push(u(b)),y(\"delta\")&&g.push(u(m)),y(\"final\")&&g.push(u(x))}if(l){y(\"value\")&&g.push(u(d.s));var _=0;y(\"percent initial\")&&_++,y(\"percent previous\")&&_++,y(\"percent total\")&&_++;var w=_>1;y(\"percent initial\")&&(f=a.formatPercent(d.begR),w&&(f+=\" of initial\"),g.push(f)),y(\"percent previous\")&&(f=a.formatPercent(d.difR),w&&(f+=\" of previous\"),g.push(f)),y(\"percent total\")&&(f=a.formatPercent(d.sumR),w&&(f+=\" of total\"),g.push(f))}return g.join(\"<br>\")}(e,r,n,i):v.getValue(s.text,r),v.coerceString(m,o)}(I,n,i,S,O);k=function(t,e){var r=v.getValue(t.textposition,e);return v.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),W=d.getOutsideTextFont(D,i,q),Y=D.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===O.type&&X.s0<=0&&(f=O.range[0]<O.range[1]?O._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=z(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=z(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===D.type?\"bar\":D.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:P}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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O=C.selectAll(\"text\").data(P);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var z,D=v.mode+v.align;if(v._hasDelta&&(z=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return 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z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={weight:l.font.weight,style:l.font.style,variant:l.font.variant,family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*u,a.offset=2*l*n,e(a),l*n+u<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function v(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var 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m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,n=z(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var z=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),q=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&z[H]*V<z[W]*V&&D[H]*q<D[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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m=\"contours.\"+y[c],x=h(m+\".show\"),b=h(m+\".highlight\");if(x||b)for(f=0;f<3;++f)h(m+\".project.\"+y[f]);x&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),b&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,u,h,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){\"use strict\";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(56576),plot:r(79164),moduleType:\"trace\",name:\"surface\",basePlotModule:r(12536),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},60520:function(t,e,r){\"use strict\";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},55992:function(t,e,r){\"use strict\";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(D,K)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var zt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=zt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var f=c.prototype;function h(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),f.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),l(\"labelFontStyle\")&&(v=!0),l(\"labelFontWeight\")&&(v=!0),l(\"labelFontVariant\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var g=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],y=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,g,this.ticks,y):this._text=n(this.gl,this.bounds,this.labels,g,this.ticks,y),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,z=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,z,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,z=(A+1+(1^O))%3,this.zeroEnable[z]&&Math.min(a[0][z],a[1][z])<=0&&Math.max(a[0][z],a[1][z])>=0&&this._lines.drawZero(I,z,this.bounds,P,this.zeroLineColor[z],this.zeroLineWidth[z]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];D[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,z=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],P=v[x],O=n.length(P)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vertexIntensity.push(O,O,O),a.vertexIntensity.push(O,O,O);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var z,D;l?(z=m*(r[I]-u),D=m*(r[I+1]-u)):(z=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),D=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(I)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],z=Math.min(z,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],z=Math.min(z,F),D=Math.max(D,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,z,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*O,D=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,z={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:z,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,D);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();z.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(z))}i.end()}}}()),F.axesPixels=a(F.axes,z,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(z)),S.axes=A,x.object&&S.draw(z),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(z),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=D,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(z);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(z)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var z=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,I));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=O,O=I,I=R;var F=C;C=P,P=F}z[0]<0&&(O[C]=-1),D[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),z=C;O.push(I);var D=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(z,N)-A>-1e-4*A&&(P.push(N),z=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=z;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),z=Math.min(z,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),D=Math.max(D,K),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,z=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(z)||isNaN(D)){m&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):zn(t)}function zn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(zn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new zt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},zi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};zi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},zi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=ue.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}($i);Ma.prototype.size=48;var Sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification[\"property-type\"],f=\"cross-faded\"===c||\"cross-faded-data-driven\"===c;if(\"constant\"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||f){var h=ho(i,l,\"source\");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push(\"/a_\"+i)}else{var p=ho(i,l,\"composite\");this.binders[i]=new so(s,o,l,u,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=zo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,z=new a((k+s)/L,(A+l)/L);z.z=E/L,y.push(z);var D=new a(C/I,P/I);D.z=O/I,m.push(D)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),z=1;z<I;z++){var D=z/I;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(D)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Xl,e)},writeBytesField:function(t,e){this.writeTag(t,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,z=Ll,D=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:D?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),z=P.advance;var B=D?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}D?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=z*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function zu(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:z,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*u,16*c,256*f,256*h)}function lc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,z=k.sections;I<z.length;I+=1){var D=z[I];if(D.image)f[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,z=C[1];sc(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||cn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Lc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof zc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(zc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new zc(e.lng,e.lat),this._ne=new zc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new zc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new zc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new zc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=zc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,zc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};zc.prototype.wrap=function(){return new zc(h(this.lng,-180,180),this.lat)},zc.prototype.toArray=function(){return[this.lng,this.lat]},zc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},zc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ic*Math.acos(Math.min(i,1))},zc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Oc(new zc(this.lng-r,this.lat-e),new zc(this.lng+r,this.lat+e))},zc.convert=function(t){if(t instanceof zc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new zc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new zc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Dc=2*Math.PI*Ic;function Rc(t){return Dc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=zc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new zc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Dc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Zc={geometry:{configurable:!0}};Zc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Zc.geometry.set=function(t){this._geometry=t},Xc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new zi(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new zi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof hc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new zi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new zi(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},ef.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},ef.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=zi,t.Event=zt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=zc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=Da,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var z=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:z,image:I,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(zt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(zt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var z=0,D=v;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var z=C.map((function(t){return re(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,z=0,D=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=ze(y.text),k=_?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=ze(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:De;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?De:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var z=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var D=!0;if(u){var R=i.variableOffsets[v];R?(z=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||_,z.x,z.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?z.x:0,h?z.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function ze(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},zr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,zr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,O,I,z,0),k.emplace(A++,P,O,I,z,1),k.emplace(A++,P,O,I,z,2),k.emplace(A++,P,O,I,z,3)}(!Kr||Kr.length<2*h)&&(Kr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var z=0;z<O.numGlyphs;z++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,z=y||0!==v.pitch,D=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=z||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||z?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var z=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=b.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;z=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:z,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Cn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Cn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Pn.prototype.clone=function(){var t=new Pn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},On.fov.get=function(){return this._fov/Math.PI*180},On.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},On.zoom.get=function(){return this._zoom},On.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Pn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Pn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Pn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Pn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},In.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var zn={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},zn),Rn=t.extend({deceleration:20,maxSpeed:1400},zn),Fn=t.extend({deceleration:1e3,maxSpeed:360},zn),Bn=t.extend({deceleration:1e3,maxSpeed:90},zn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Yn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}var fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Li.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ci.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,zi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||zi&&r instanceof zi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Oi||zi&&r instanceof zi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Oi||zi&&r instanceof zi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Zi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Xi--,Zi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var z=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=D.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=v[4*D],E[8*z+1]=v[4*D+1],E[8*z+2]=v[4*D+2],E[8*z+3]=v[4*D+3];var R=O[z];E[8*z+4]=v[4*R],E[8*z+5]=v[4*R+1],E[8*z+6]=v[4*R+2],E[8*z+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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   "source": [
    "fig = px.scatter(search_data_0, x=\"x\", y=\"score\")\n",
    "fig.show()"
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  },
  {
   "cell_type": "markdown",
   "id": "quantitative-closing",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "The plot above shows the score of each parameter set (in this case just one parameter \"x\"). The random search explores the search space very well, so that we can see the inverse parabola."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "loose-alexandria",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "## Objective Functions <a class=\"anchor\" id=\"convex\"></a>\n",
    "    \n",
    "The shape of the objective function in the search space is a very important part of the optimization problem, because it heavily impacts the behaviour of the algorithm. Each optimization algorithm is well equiped to solve some kind of objective functions and perform poorly for others. \n",
    "    \n",
    "A basic classifications of optimization problems is into convex- and nonconvex-problems. Convex optimization problems have a shape, where the score improves continuously as the position gets closer to the global optimum. So it does not have any local optima in its shape. Nonconvex-problems do have these local optima."
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   "cell_type": "markdown",
   "id": "furnished-mapping",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "### Convex Optimization <a class=\"anchor\" id=\"convex\"></a>\n",
    "    \n",
    "Lets take a closer look at the convex optimization problem and try out different optimization algorithms:"
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  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "portuguese-mounting",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convex_function(para):\n",
    "    loss = (para[\"x\"]*para[\"x\"] + para[\"y\"]*para[\"y\"])\n",
    "    return -loss\n",
    "\n",
    "\n",
    "search_space = {\n",
    "    \"x\": list(np.arange(-5, 5, 0.01)),\n",
    "    \"y\": list(np.arange(-5, 5, 0.01)),\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "aware-official",
   "metadata": {},
   "outputs": [],
   "source": [
    "hyper_convex_0 = Hyperactive(verbosity=False)\n",
    "hyper_convex_0.add_search(convex_function, search_space, n_iter=2000)\n",
    "hyper_convex_0.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "abandoned-tribute",
   "metadata": {},
   "outputs": [],
   "source": [
    "search_data_convex_0 = hyper_convex_0.search_data(convex_function)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "armed-anthropology",
   "metadata": {},
   "outputs": [
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   "source": [
    "fig = px.scatter(search_data_convex_0, x=\"x\", y=\"y\", color=\"score\", color_continuous_scale=color_scale)\n",
    "fig.update_layout(width=900, height=800, xaxis_range=[-5, 5], yaxis_range=[-5, 5])\n",
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    "<font size=\"4\">\n",
    "    \n",
    "The plot above shows the samples from the search data acquired from the convex-function in a 2-dimensional search space. The score is shown by the color of each point in the scatter plot. "
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   "cell_type": "markdown",
   "id": "stainless-subcommittee",
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    "<font size=\"4\">\n",
    "\n",
    "We were able to see, that random search is a good optimization technique to explore the search space. But the goal is often to quickly find position in the search space with a high score. Therefore we should consider other optimization techniques like the hill climbing algorithm."
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   "cell_type": "markdown",
   "id": "legislative-future",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "### Hill Climbing Optimizer\n",
    "    \n",
    "The hill climbing optimization algorithm works by finding a random neighbour position close to the current position. If the score of the new position is better than the current one the algorithm makes a step to the new position and returns to finding the next position. This behaviour is like someone who tries to find the highest (highest score) position in a space by only moving up and never moves down. \n",
    "    \n",
    "The hill climbing algorithm works very well with convex optimization problems, because the score continuously improves towards a direction. Hill climbing can find this direction by exploring the scores of its neighbours.\n",
    "Hill climbing does not work of there are local optima. It tends to get \"stuck\" in certain regions, where the current position is surrounded by positions with worse scores. The algorithm would need to first \"go down\" and later \"go up\" again to find other (even better) positions in the search space.\n"
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   "id": "spectacular-terrorist",
   "metadata": {},
   "source": [
    "<table><tr>\n",
    "<td> <img src=\"./images/hill_climbing_convex.gif\"/> </td>\n",
    "<td> <img src=\"./images/hill_climbing_nonconvex.gif\"/> </td>\n",
    "</tr></table>"
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  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "separate-updating",
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   "source": [
    "optimizer = HillClimbingOptimizer(rand_rest_p=0)\n",
    "\n",
    "hyper_convex_1 = Hyperactive(verbosity=False)\n",
    "hyper_convex_1.add_search(convex_function, search_space, n_iter=90, optimizer=optimizer, initialize={\"vertices\":1})\n",
    "hyper_convex_1.run()\n",
    "\n",
    "search_data_convex_1 = hyper_convex_1.search_data(convex_function)"
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   "cell_type": "code",
   "execution_count": 12,
   "id": "controlled-coalition",
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    "fig = px.scatter(search_data_convex_1, x=\"x\", y=\"y\", color=\"score\", color_continuous_scale=color_scale)\n",
    "fig.update_layout(width=900, height=800, xaxis_range=[-5, 5], yaxis_range=[-5, 5])\n",
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    "<font size=\"4\">\n",
    "    \n",
    "The 2D-scatter plot above shows that the hill climbing algorithm convertes quickly to the optimum of the objective function in the search space. Hill climbing is specialized to find the optimum of convex functions quickly. It was able to find a good score in less than 100 iterations, while the random search used much more for a similar maximum score. "
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   "cell_type": "markdown",
   "id": "sexual-compatibility",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "## Non-convex Optimization <a class=\"anchor\" id=\"non_convex\"></a>\n",
    "    \n",
    "Next we explore the performance of different optimization algorithms on the ackley-function, which is a nonconvex objective function:"
   ]
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  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "alert-plenty",
   "metadata": {},
   "outputs": [],
   "source": [
    "def ackley_function(para):\n",
    "    x, y = para[\"x\"], para[\"y\"]\n",
    "\n",
    "    loss = (\n",
    "        -20 * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))\n",
    "        - np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))\n",
    "        + np.exp(1)\n",
    "        + 20\n",
    "    )\n",
    "\n",
    "    return -loss\n",
    "\n",
    "\n",
    "search_space = {\n",
    "    \"x\": list(np.arange(-5, 5, 0.01)),\n",
    "    \"y\": list(np.arange(-5, 5, 0.01)),\n",
    "}"
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   "cell_type": "markdown",
   "id": "guilty-harvest",
   "metadata": {},
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    "<font size=\"4\">\n",
    "\n",
    "The ackley function is a non convex function that has a lot of local optima. This is because of the cos-terms that create wave-like patterns in both dimensions.\n",
    "    \n",
    "In the following 3D-surface plots you can see an example for the sphere-function and ackley-function. Both plots are interactive, so you can take a closer look at the shape of those objective functions:"
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  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "municipal-parliament",
   "metadata": {},
   "outputs": [
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   "source": [
    "compare_objective_functions(convex_function, ackley_function)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "found-ballot",
   "metadata": {},
   "outputs": [],
   "source": [
    "hyper_ackley_0 = Hyperactive(verbosity=False)\n",
    "hyper_ackley_0.add_search(ackley_function, search_space, n_iter=2000)\n",
    "hyper_ackley_0.run()\n",
    "\n",
    "search_data_ackley_0 = hyper_ackley_0.search_data(ackley_function)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fresh-boost",
   "metadata": {},
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   "source": [
    "fig = px.scatter(search_data_ackley_0, x=\"x\", y=\"y\", color=\"score\", color_continuous_scale=color_scale)\n",
    "fig.update_layout(width=900, height=800)\n",
    "fig.show()"
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   "cell_type": "markdown",
   "id": "unsigned-fleet",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "The plot above shows the random search exploring the ackley function. Random search is not affected by the many local optima in the search space. Lets try out the hill climbing algorithm on the ackley function and see the results."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "subsequent-twenty",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "nervous-denial",
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = HillClimbingOptimizer(rand_rest_p=0)\n",
    "\n",
    "hyper_ackley_1 = Hyperactive(verbosity=False)\n",
    "hyper_ackley_1.add_search(ackley_function, \n",
    "                          search_space, \n",
    "                          n_iter=100, \n",
    "                          optimizer=optimizer, \n",
    "                          initialize={\"vertices\": 1})\n",
    "hyper_ackley_1.run()\n",
    "\n",
    "search_data_ackley_1 = hyper_ackley_1.search_data(ackley_function)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "oriented-stone",
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   ],
   "source": [
    "fig = px.scatter(search_data_ackley_1, x=\"x\", y=\"y\", color=\"score\", color_continuous_scale=color_scale)\n",
    "fig.update_layout(width=900, height=800, xaxis_range=[-5, 5], yaxis_range=[-5, 5])\n",
    "fig.show()"
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   "source": [
    "<font size=\"4\">\n",
    "\n",
    "Maybe you already expected, that the hill climbing algorithm delivers bad results optimizing the ackley function. That does not mean, that hill climbing is a bad algorithm in general. It means that it is bad for this kind of objective functions. This is a very important idea in mathematical optimization. It is very useful to know about the properties of the objective function, because you can choose an optimization algorithm that works really well for this problem."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "original-province",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "### Repulsing Hill Climbing Optimizer\n",
    "    \n",
    "The repulsing hill climbing optimizer tries to improve how hill climbing solves non-convex objective functions. It does so by increasing the radius in which hill climbing selects a neighbour position if the last position wasn't an improvement over the current one. This means the hill climber will jump away from its current position of it does not find better position in its close environment."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "destroyed-pilot",
   "metadata": {},
   "source": [
    "<table><tr>\n",
    "<td> <img src=\"./images/tabu_convex.gif\"/> </td>\n",
    "<td> <img src=\"./images/tabu_nonconvex.gif\"/> </td>\n",
    "</tr></table>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "antique-rating",
   "metadata": {},
   "outputs": [],
   "source": [
    "from hyperactive.optimizers import RepulsingHillClimbingOptimizer\n",
    "\n",
    "optimizer = RepulsingHillClimbingOptimizer()\n",
    "\n",
    "hyper_ackley_2 = Hyperactive(verbosity=False)\n",
    "hyper_ackley_2.add_search(ackley_function, \n",
    "                          search_space, \n",
    "                          n_iter=100, \n",
    "                          optimizer=optimizer, \n",
    "                          initialize={\"vertices\": 1})\n",
    "hyper_ackley_2.run()\n",
    "\n",
    "search_data_ackley_2 = hyper_ackley_2.search_data(ackley_function)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "architectural-crown",
   "metadata": {},
   "outputs": [
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    "<font size=\"4\">\n",
    "    \n",
    "The plot above shows how the repulsing hill climbing optimizer explored the search space of the ackley function. It does a much better job finding new optima in the space, while also exploring local regions."
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    "<font size=\"4\">\n",
    "    \n",
    "## Hyperactive memory <a class=\"anchor\" id=\"memory\"></a>\n",
    "  \n",
    "Some objective functions (especially with machein- or deep- learning models) can take a long time to evaluate, which slows down the optimization run. This means, that we want to avoid any unnecessary evaluation of the objective function. Unfortunately most optimization algorithms won't avoid positions in the search space that were already evaluated. For example:\n",
    "    \n",
    "    - Random Search, which could select a position it already selected before\n",
    "    - Hill climbing stuck in an optimum\n",
    "    - Particle swarms that converge on one position\n",
    "    \n",
    "The bottom line is, that optimization algorithms don't \"remember\" already explored positions and won't avoid them. But Hyperactive has a feature that solves this problem, by saving the position and score in a memory-dictionary. If a position is selected Hyperactive will look up if this position is already known. If it knows the position and score it won't reevaluate the objective function but extract the score, which saves time. This is very useful for computationally expensive objective functions.\n",
    "    \n",
    "You can even pass the search data from a previous optimization run into the ```memory_warm_start```-argument, so that the optimization run \"remembers\" the memory from the previous one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "enormous-diagnosis",
   "metadata": {},
   "outputs": [],
   "source": [
    "def dtr_model(opt):\n",
    "    dtr = DecisionTreeRegressor(\n",
    "        max_depth=opt[\"max_depth\"],\n",
    "        min_samples_split=opt[\"min_samples_split\"],\n",
    "    )\n",
    "    scores = cross_val_score(dtr, X_boston, y_boston, cv=5)\n",
    "\n",
    "    return scores.mean()\n",
    "\n",
    "\n",
    "search_space_dtr = {\n",
    "    \"max_depth\": list(range(10, 35)),\n",
    "    \"min_samples_split\": list(range(2, 35)),\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "latter-morning",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization time 1: 1.35\n"
     ]
    }
   ],
   "source": [
    "c_time1 = time.time()\n",
    "\n",
    "hyper_dtr_0 = Hyperactive(verbosity=False)\n",
    "hyper_dtr_0.add_search(dtr_model, search_space_dtr, n_iter=300)\n",
    "hyper_dtr_0.run()\n",
    "\n",
    "d_time1 = time.time() - c_time1\n",
    "print(\"Optimization time 1:\", round(d_time1, 2))\n",
    "\n",
    "# Hyperactive collects the search data\n",
    "search_data_dtr_0 = hyper_dtr_0.search_data(dtr_model, times=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "charming-entity",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "After the first optimization run we start an additional run and pass the search data into ```memory_warm_start```. We expect that the next run will be faster, because we already have explored 300 positions in the search space from the previous optimization run."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "baking-monthly",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "informed-berlin",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "perfect-philadelphia",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization time 2: 0.89\n"
     ]
    }
   ],
   "source": [
    "c_time2 = time.time()\n",
    "\n",
    "hyper_dtr_1 = Hyperactive(verbosity=False)\n",
    "hyper_dtr_1.add_search(dtr_model, search_space_dtr, n_iter=300, memory_warm_start=search_data_dtr_0)\n",
    "hyper_dtr_1.run()\n",
    "\n",
    "d_time2 = time.time() - c_time2\n",
    "print(\"Optimization time 2:\", round(d_time2, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "prerequisite-graham",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " The second optimization run is 34.22% faster than the first one.\n"
     ]
    }
   ],
   "source": [
    "print(\"\\n The second optimization run is \"+'{}'.format(round((1-d_time2/d_time1)*100,2))+\"% faster than the first one.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "hollow-swift",
   "metadata": {},
   "outputs": [],
   "source": [
    "search_data_dtr_1 = hyper_dtr_1.search_data(dtr_model, times=True)\n",
    "search_data_dtr = pd.concat([search_data_dtr_1, search_data_dtr_0], ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "exterior-forward",
   "metadata": {},
   "outputs": [],
   "source": [
    "# times in seconds\n",
    "eval_times = search_data_dtr_0[\"eval_times\"]\n",
    "eval_times_mem = search_data_dtr_1[\"eval_times\"]\n",
    "\n",
    "opt_times = search_data_dtr[\"iter_times\"]-search_data_dtr[\"eval_times\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "adult-terminal",
   "metadata": {},
   "outputs": [
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   "source": [
    "fig = go.Figure()\n",
    "fig.add_trace(go.Histogram(x=eval_times, name=\"evaluation time\", nbinsx=15))\n",
    "fig.add_trace(go.Histogram(x=eval_times_mem, name=\"evaluation time second run\", nbinsx=15))\n",
    "fig.add_trace(go.Histogram(x=opt_times, name=\"optimization time\", nbinsx=15))\n",
    "fig.show()"
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  {
   "cell_type": "markdown",
   "id": "abroad-traveler",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "The evaluation- and optimization- times from the two optimization runs is shown in the histogram above. There are several interesting things to see:\n",
    "    \n",
    "    - Even for simple machine learning models the optimization algorithm is much faster.\n",
    "    - The evaluations, which are faster than the optimization are from the memory-dictionary lookup.\n",
    "    - The second optimization run has much more memory lookups than the first.\n",
    "\n"
   ]
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  {
   "cell_type": "markdown",
   "id": "chicken-truck",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "## Machine Learning Hyperparameter Optimization <a class=\"anchor\" id=\"machine_learning\"></a>\n",
    "\n",
    "Until now we mostly optimized test functions to show how an objective function and the search space can look like. These problems were easy to solve, because the objective funtion evaluates very fast and the search space is very small. Real optimization problems often have one of those two problems:\n",
    "    - The objective function is computationally expensive, so it takes a long time to evaluate. This increases the iteration time and slowes down the optimization progress.\n",
    "    - The search space is very large. This can makes it very difficult to find positions with a high score.\n",
    "    \n",
    "In the first case you would want to use optimization algorithms that are very inteligent in finding new positions with high scores. You don't want to waste too much time exploring the search space, because each evaluation takes such a long time. You want to get to a good position with a high score in as few steps as possible.\n",
    "    \n",
    "In the second case you would want a fast algorithm, that looks for a good score but also explores the search space very well."
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  {
   "cell_type": "markdown",
   "id": "moved-shield",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "Lets take a look at a (kind of) real optimization problem. We want to optimize the hyperparameters of a gradient boosting regressor that is trained on the boston housing regression dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fiscal-stick",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gbr_model_0(opt):\n",
    "    gbr = GradientBoostingRegressor(\n",
    "        n_estimators=opt[\"n_estimators\"],\n",
    "        max_depth=opt[\"max_depth\"],\n",
    "    )\n",
    "    scores = cross_val_score(gbr, X_boston, y_boston, cv=5)\n",
    "    score = scores.mean()\n",
    "    return score\n",
    "\n",
    "\n",
    "search_space_gbr_0 = {\n",
    "    \"n_estimators\": list(range(10, 100)),\n",
    "    \"max_depth\": list(range(2, 12)),\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "whole-fever",
   "metadata": {},
   "outputs": [],
   "source": [
    "hyper_gbr_0 = Hyperactive(verbosity=False)\n",
    "hyper_gbr_0.add_search(gbr_model_0, search_space_gbr_0, n_iter=50)\n",
    "hyper_gbr_0.run()\n",
    "\n",
    "search_data_gbr_0 = hyper_gbr_0.search_data(gbr_model_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "special-postcard",
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   "source": [
    "fig = px.scatter(search_data_gbr_0, \n",
    "                 x=\"n_estimators\", \n",
    "                 y=\"max_depth\", \n",
    "                 color=\"score\", \n",
    "                 color_continuous_scale=color_scale)\n",
    "\n",
    "fig.update_layout(width=900, height=800)\n",
    "fig.show()"
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   "cell_type": "markdown",
   "id": "reported-start",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "The scatter plot above contains the samples from the search data from the gbr-model. It seams that high ```max_depth``` delivers bad scores but we should explore higher values for ```n_estimators```."
   ]
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   "cell_type": "markdown",
   "id": "colonial-ordering",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "## Continuing the Search <a class=\"anchor\" id=\"continuing-search\"></a>\n",
    "\n",
    "<br>\n",
    "\n",
    "Hyperactive makes it very easy to continue a search. The search data you already used for data exploration can just be passed to Hyperactive. This is done in multiple ways:\n",
    "    \n",
    "    - You can extract the best parameters via the \"best_para\"-method. This can than be passed to \"initialize\" to start at this position in the search space\n",
    "    - The search data from the \"results\"-method can be passed to \"memory_warm_start\". The search data is automaticaly added into the memory-dictionary.\n",
    "    - You can also pass the search data to \"warm_start_smbo\". This has the effect that the Bayesian optimizer can do more precise approximations in the beginning of the optimization run.\n",
    "   "
   ]
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  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "rapid-clearing",
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   "source": [
    "best_para_gbr_0 = hyper_gbr_0.best_para(gbr_model_0)\n",
    "initialize = {\"random\": 4, \"warm_start\": [best_para_gbr_0]}\n",
    "\n",
    "\n",
    "search_space_gbr_01 = {\n",
    "    \"n_estimators\": list(range(10, 250, 5)),\n",
    "    \"max_depth\": list(range(2, 8)),\n",
    "}\n",
    "\n",
    "\n",
    "hyper_gbr_01 = Hyperactive(verbosity=False)\n",
    "hyper_gbr_01.add_search(gbr_model_0, \n",
    "                        search_space_gbr_01, \n",
    "                        n_iter=50,\n",
    "                        n_jobs=2,\n",
    "                        memory_warm_start=search_data_gbr_0, \n",
    "                        initialize=initialize)\n",
    "hyper_gbr_01.run()\n",
    "\n",
    "search_data_gbr_01 = hyper_gbr_01.search_data(gbr_model_0)"
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  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "handy-tiffany",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>n_estimators</th>\n",
       "      <th>max_depth</th>\n",
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       "      <th>0</th>\n",
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       "      <td>0.274693</td>\n",
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       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>0.169371</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>190</td>\n",
       "      <td>4</td>\n",
       "      <td>0.281844</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>145</td>\n",
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       "      <td>0.270726</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>41</td>\n",
       "      <td>4</td>\n",
       "      <td>0.275339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>0.260763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>0.311232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>0.294797</td>\n",
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       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>0.326051</td>\n",
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       "<p>150 rows × 3 columns</p>\n",
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       "     n_estimators  max_depth     score\n",
       "0             195          6  0.274693\n",
       "1              10          4  0.169371\n",
       "2             190          4  0.281844\n",
       "3             145          4  0.270726\n",
       "4             100          2  0.326549\n",
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       "145            41          4  0.275339\n",
       "146            23          8  0.260763\n",
       "147            31          2  0.311232\n",
       "148            36          9  0.294797\n",
       "149            62          2  0.326051\n",
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    "# merge the search data from the previous run and the current run\n",
    "search_data_gbr_01_ = pd.concat([search_data_gbr_01, search_data_gbr_0], ignore_index=True)\n",
    "search_data_gbr_01_"
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  },
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   "cell_type": "code",
   "execution_count": 33,
   "id": "significant-athletics",
   "metadata": {},
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    "fig = px.scatter(search_data_gbr_01_, \n",
    "                 x=\"n_estimators\", \n",
    "                 y=\"max_depth\", \n",
    "                 color=\"score\", \n",
    "                 color_continuous_scale=color_scale)\n",
    "\n",
    "fig.update_layout(width=900, height=800)\n",
    "fig.show()"
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   "id": "familiar-washington",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "    \n",
    "The scatter plot shows the search data from the previous run on the left side and the new search data on the bottom, because of the different search spaces. "
   ]
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  {
   "cell_type": "markdown",
   "id": "useful-measurement",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "## Parallel Computing <a class=\"anchor\" id=\"parallel-comp\"></a>\n",
    "\n",
    "\n"
   ]
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   "cell_type": "markdown",
   "id": "better-production",
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    "<font size=\"4\">\n",
    "    \n",
    "Lets throw more computational resources at this problem:\n",
    "    \n",
    "    - 1 job does a hill climbing search starting at the best position from the last run\n",
    "    - 1 job does a hill climbing search with four random initial positions\n",
    "    - 2 jobs doing a random search\n",
    "    \n",
    "All of those jobs run in parallel and merge their results into one search data file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "partial-recipe",
   "metadata": {},
   "outputs": [],
   "source": [
    "best_para_gbr_01 = hyper_gbr_01.best_para(gbr_model_0)\n",
    "initialize = {\"warm_start\": [best_para_gbr_01]}\n",
    "\n",
    "\n",
    "search_space_gbr_02 = {\n",
    "    \"n_estimators\": list(range(150, 300, 2)),\n",
    "    \"max_depth\": list(range(2, 5)),\n",
    "}\n",
    "\n",
    "optimizer = HillClimbingOptimizer(rand_rest_p=0)\n",
    "\n",
    "hyper_gbr_02 = Hyperactive(verbosity=False)\n",
    "hyper_gbr_02.add_search(gbr_model_0, \n",
    "                        search_space_gbr_02, \n",
    "                        n_iter=50,\n",
    "                        n_jobs=1,\n",
    "                        optimizer=optimizer,\n",
    "                        memory_warm_start=search_data_gbr_01_, \n",
    "                        initialize=initialize)\n",
    "hyper_gbr_02.add_search(gbr_model_0, \n",
    "                        search_space_gbr_02, \n",
    "                        n_iter=50,\n",
    "                        n_jobs=1,\n",
    "                        optimizer=optimizer,\n",
    "                        memory_warm_start=search_data_gbr_01_, \n",
    "                        initialize={\"random\": 4})\n",
    "hyper_gbr_02.add_search(gbr_model_0, \n",
    "                        search_space_gbr_02, \n",
    "                        n_iter=50,\n",
    "                        n_jobs=2,\n",
    "                        memory_warm_start=search_data_gbr_01_)\n",
    "hyper_gbr_02.run()\n",
    "\n",
    "search_data_gbr_02 = hyper_gbr_02.search_data(gbr_model_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "dressed-catalog",
   "metadata": {},
   "outputs": [
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   "source": [
    "search_data_gbr_02_ = pd.concat([search_data_gbr_02, search_data_gbr_01_], ignore_index=True)\n",
    "\n",
    "fig = px.scatter(search_data_gbr_02_, \n",
    "                 x=\"n_estimators\", \n",
    "                 y=\"max_depth\", \n",
    "                 color=\"score\", \n",
    "                 color_continuous_scale=color_scale)\n",
    "\n",
    "fig.update_layout(width=900, height=800)\n",
    "fig.show()"
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   "cell_type": "markdown",
   "id": "dried-slope",
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    "<font size=\"4\">\n",
    "\n",
    "All the search data we collected shows a clear pattern. We should keep the ```max_depth``` at 2. In the following plot the search data is filtered to show only ```max_depth``` == 2, while showing the ```n_estimators``` dependend on the score."
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  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "planned-liechtenstein",
   "metadata": {},
   "outputs": [],
   "source": [
    "search_data_gbr_02_f = search_data_gbr_02_[search_data_gbr_02_[\"score\"] > 0.68]\n",
    "search_data_gbr_02_f_max_depth2 = search_data_gbr_02_f[search_data_gbr_02_[\"max_depth\"] == 2]"
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   ],
   "source": [
    "fig = px.scatter(search_data_gbr_02_f_max_depth2, \n",
    "                 x=\"n_estimators\", \n",
    "                 y=\"score\")\n",
    "\n",
    "fig.update_layout(width=900, height=800)\n",
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  {
   "cell_type": "markdown",
   "id": "subtle-extent",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "\n",
    "The filtering and visualization of the search data in the last few plots was an example how you can explore the model and search space yourself. Hyperactive makes it very easy to collect and reuse search data. Let's take a look how to collect more data:"
   ]
  },
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   "cell_type": "markdown",
   "id": "transsexual-refund",
   "metadata": {},
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    "<font size=\"4\">\n",
    "    \n",
    "## Collecting more Data <a class=\"anchor\" id=\"data_collect\"></a>\n",
    "    \n",
    "Until now you have seen, that the objective function always returns only one variable: The score, which is always a real number. But Hyperactive has the capability to accept more variables. Those additional variables won't affect the score or the decision making of the optimization algorithm, but they will be collected in each iteration and accessed in the search data.\n",
    "    \n",
    "This feature can be very useful, because you can add any variable you want to the search data, which might help you understand the model better. To collect additional data in the objective function you just put it into a dictionary and return it alongside with the score. The key will be the column name in the search data and the value will be collected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "correct-observer",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gbr_model_1(opt):\n",
    "    gbr = GradientBoostingRegressor(\n",
    "        n_estimators=opt[\"n_estimators\"],\n",
    "        max_depth=opt[\"max_depth\"],\n",
    "    )\n",
    "    c_time = time.time()\n",
    "    scores = cross_val_score(gbr, X_boston, y_boston, cv=5)\n",
    "    cv_time = time.time() - c_time\n",
    "    \n",
    "    # add the dictionary to collect more data\n",
    "    return scores.mean(), {\"cv_time\": cv_time}\n",
    "\n",
    "\n",
    "search_space_gbr_1 = {\n",
    "    \"n_estimators\": list(range(10, 250, 5)),\n",
    "    \"max_depth\": list(range(2, 8)),\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "exterior-heath",
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       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>0.030381</td>\n",
       "      <td>0.169371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>190</td>\n",
       "      <td>4</td>\n",
       "      <td>0.471566</td>\n",
       "      <td>0.281844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>145</td>\n",
       "      <td>4</td>\n",
       "      <td>0.370940</td>\n",
       "      <td>0.270726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>160</td>\n",
       "      <td>4</td>\n",
       "      <td>0.406486</td>\n",
       "      <td>0.292612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   n_estimators  max_depth   cv_time     score\n",
       "0           195          6  0.452088  0.274693\n",
       "1            10          4  0.030381  0.169371\n",
       "2           190          4  0.471566  0.281844\n",
       "3           145          4  0.370940  0.270726\n",
       "4           160          4  0.406486  0.292612"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hyper_gbr_1 = Hyperactive(verbosity=False)\n",
    "hyper_gbr_1.add_search(gbr_model_1, search_space_gbr_1, n_iter=15, n_jobs=8, initialize={\"random\": 10})\n",
    "hyper_gbr_1.run()\n",
    "\n",
    "search_data_gbr_1 = hyper_gbr_1.search_data(gbr_model_1)\n",
    "search_data_gbr_1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "celtic-mainstream",
   "metadata": {},
   "outputs": [
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   "source": [
    "fig = px.scatter(search_data_gbr_1, \n",
    "                 x=\"n_estimators\", \n",
    "                 y=\"max_depth\", \n",
    "                 color=\"score\", \n",
    "                 size='cv_time', \n",
    "                 color_continuous_scale=color_scale)\n",
    "\n",
    "fig.update_layout(width=900, height=800)\n",
    "fig.show()"
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  {
   "cell_type": "markdown",
   "id": "decent-transcription",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "The scatter plot above shows the samples od the search data, but adds a visualization of the cross-validation-time with the size of the scatter-points."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "differential-tattoo",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "## Managing multiple objectives <a class=\"anchor\" id=\"multi_objectives\"></a>\n",
    "    \n",
    "In the last chapter you were able to collect additional data during the optimization run. This data did not affect the score. But you can still try to create one score that represents information from multiple scores. In the following example we want to optimize a model to get a high score and at the same time a low training time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "approximate-county",
   "metadata": {},
   "outputs": [],
   "source": [
    "def gbr_model_2(opt):\n",
    "    gbr = GradientBoostingRegressor(\n",
    "        n_estimators=opt[\"n_estimators\"],\n",
    "        max_depth=opt[\"max_depth\"],\n",
    "    )\n",
    "    c_time = time.time()\n",
    "    scores = cross_val_score(gbr, X_boston, y_boston, cv=5)\n",
    "    cv_time = time.time() - c_time\n",
    "    \n",
    "    score_cv_avg = scores.mean()\n",
    "    score_cv_std = scores.std()\n",
    "    \n",
    "    # the score is calculated from the cv-score and the cv-training time\n",
    "    score = score_cv_avg / (cv_time**0.1)\n",
    "    \n",
    "    # independed from the score we want some additional data\n",
    "    return score, {\"cv_time\": cv_time, \n",
    "                   \"score_cv_avg\": score_cv_avg,\n",
    "                   \"score_cv_std\": score_cv_std,\n",
    "                  \"scores\": scores,\n",
    "                  }\n",
    "\n",
    "\n",
    "search_space_gbr_2 = {\n",
    "    \"n_estimators\": list(range(10, 250, 5)),\n",
    "    \"max_depth\": list(range(2, 12)),\n",
    "}"
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   "cell_type": "markdown",
   "id": "conceptual-boxing",
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    "<font size=\"4\">\n",
    "    \n",
    "The objective function above enables us to return a score that is composed of multiple variables. At the same time, we also want to collect data about the variables the score is composed from. This helps us understand the score later during the data visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "aging-postage",
   "metadata": {},
   "outputs": [
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       "      <th>n_estimators</th>\n",
       "      <th>max_depth</th>\n",
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       "      <td>195</td>\n",
       "      <td>11</td>\n",
       "      <td>0.469325</td>\n",
       "      <td>0.296279</td>\n",
       "      <td>0.274693</td>\n",
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       "      <td>0.431359</td>\n",
       "      <td>0.304529</td>\n",
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       "      <td>0.293567</td>\n",
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       "      <td>0.330187</td>\n",
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       "      <td>0.387764</td>\n",
       "      <td>0.328621</td>\n",
       "      <td>0.298918</td>\n",
       "      <td>0.366175</td>\n",
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       "   n_estimators  max_depth   cv_time     score  score_cv_avg  score_cv_std  \\\n",
       "0           195         11  0.469325  0.296279      0.274693      0.339536   \n",
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       "4           160          6  0.387764  0.328621      0.298918      0.366175   \n",
       "\n",
       "                                              scores  \n",
       "0  [0.0, 0.7591973311141902, 0.0, 0.6142691854272...  \n",
       "1  [0.0, 0.43657746289686405, 0.0, 0.433289892271...  \n",
       "2  [0.0, 0.7591973311141902, 0.0, 0.6406546370228...  \n",
       "3  [0.0, 0.7591973708039511, 0.0, 0.5653496914445...  \n",
       "4  [0.0, 0.7591973339658764, 0.0, 0.7353918625267...  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "hyper_gbr_2 = Hyperactive(verbosity=False)\n",
    "hyper_gbr_2.add_search(gbr_model_2, search_space_gbr_2, n_iter=15, n_jobs=8, initialize={\"random\": 10})\n",
    "hyper_gbr_2.run()\n",
    "\n",
    "search_data_gbr_2 = hyper_gbr_2.search_data(gbr_model_2)\n",
    "search_data_gbr_2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "selective-gender",
   "metadata": {},
   "outputs": [
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   "source": [
    "fig = px.scatter(search_data_gbr_2, \n",
    "                 x=\"n_estimators\", \n",
    "                 y=\"max_depth\", \n",
    "                 color=\"score\", \n",
    "                 size='cv_time', \n",
    "                 color_continuous_scale=color_scale)\n",
    "\n",
    "fig.update_layout(width=800, height=700)\n",
    "fig.show()"
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  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "potential-dayton",
   "metadata": {},
   "outputs": [
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   "source": [
    "fig = px.scatter(search_data_gbr_2, \n",
    "                 x=\"cv_time\", \n",
    "                 y=\"score_cv_avg\", \n",
    "                 color=\"score\", \n",
    "                 size='score_cv_std', \n",
    "                 color_continuous_scale=color_scale)\n",
    "\n",
    "fig.update_layout(width=800, height=700)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "everyday-toner",
   "metadata": {},
   "source": [
    "<font size=\"4\">\n",
    "    \n",
    "## Non-numerical Search Spaces <a class=\"anchor\" id=\"search_space\"></a>\n",
    "    \n",
    "This chapter describes a very unique and helpful feature of Hyperactive: non-numerical values in the search space. You are not constrained to use numeric values in your search space, but also strings or even functions. Because of this you can do some really interesting stuff like:\n",
    "    \n",
    "    - hyperparameter optimization of any parameter\n",
    "    - preprocessing-optimization\n",
    "    - neural architecture search\n",
    "    \n",
    "Lets take a look at the following example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "asian-original",
   "metadata": {},
   "outputs": [],
   "source": [
    "def mlp_model(opt): \n",
    "    scaler = MinMaxScaler()\n",
    "    X_norm = scaler.fit_transform(X_iris)\n",
    "    \n",
    "    mlp = MLPClassifier(\n",
    "        hidden_layer_sizes=opt[\"hidden_layer_sizes\"],\n",
    "        activation=opt[\"activation\"],\n",
    "        alpha=opt[\"alpha\"],\n",
    "        learning_rate_init=opt[\"learning_rate_init\"],\n",
    "\n",
    "    )\n",
    "    scores = cross_val_score(mlp, X_norm, y_iris, cv=5)\n",
    "\n",
    "    return scores.mean()\n",
    "\n",
    "\n",
    "search_space_mlp = {\n",
    "    \"hidden_layer_sizes\": list(range(10, 100, 10)),\n",
    "    \"activation\": [\"identity\", \"logistic\", \"tanh\", \"relu\"],\n",
    "    \"solver\":  [\"lbfgs\", \"sgd\", \"adam\"],\n",
    "    \"alpha\": [1/(10**x) for x in range(1, 9)],\n",
    "    \"learning_rate_init\": [1/(10**x) for x in range(1, 9)],\n",
    "\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "statewide-uganda",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hidden_layer_sizes</th>\n",
       "      <th>activation</th>\n",
       "      <th>solver</th>\n",
       "      <th>alpha</th>\n",
       "      <th>learning_rate_init</th>\n",
       "      <th>score</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>tanh</td>\n",
       "      <td>adam</td>\n",
       "      <td>1.000000e-05</td>\n",
       "      <td>1.000000e-07</td>\n",
       "      <td>0.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60</td>\n",
       "      <td>relu</td>\n",
       "      <td>sgd</td>\n",
       "      <td>1.000000e-03</td>\n",
       "      <td>1.000000e-07</td>\n",
       "      <td>0.320000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>logistic</td>\n",
       "      <td>sgd</td>\n",
       "      <td>1.000000e-04</td>\n",
       "      <td>1.000000e-04</td>\n",
       "      <td>0.340000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>90</td>\n",
       "      <td>relu</td>\n",
       "      <td>lbfgs</td>\n",
       "      <td>1.000000e-01</td>\n",
       "      <td>1.000000e-01</td>\n",
       "      <td>0.973333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10</td>\n",
       "      <td>relu</td>\n",
       "      <td>lbfgs</td>\n",
       "      <td>1.000000e-08</td>\n",
       "      <td>1.000000e-01</td>\n",
       "      <td>0.973333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "   hidden_layer_sizes activation solver         alpha  learning_rate_init  \\\n",
       "0                  10       tanh   adam  1.000000e-05        1.000000e-07   \n",
       "1                  60       relu    sgd  1.000000e-03        1.000000e-07   \n",
       "2                  50   logistic    sgd  1.000000e-04        1.000000e-04   \n",
       "3                  90       relu  lbfgs  1.000000e-01        1.000000e-01   \n",
       "4                  10       relu  lbfgs  1.000000e-08        1.000000e-01   \n",
       "\n",
       "      score  \n",
       "0  0.340000  \n",
       "1  0.320000  \n",
       "2  0.340000  \n",
       "3  0.973333  \n",
       "4  0.973333  "
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     },
     "execution_count": 46,
     "metadata": {},
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   ],
   "source": [
    "hyper_mlp_0 = Hyperactive(verbosity=False)\n",
    "hyper_mlp_0.add_search(mlp_model, search_space_mlp, n_iter=40)\n",
    "hyper_mlp_0.run()\n",
    "\n",
    "mlp_search_data = hyper_mlp_0.search_data(mlp_model)\n",
    "mlp_search_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "corporate-certification",
   "metadata": {},
   "outputs": [
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fLDLqGHZA2Gn45sc/Ufo0zYmzqYsoAoqAIqAIKAKKgCLguQiwb3jF+afIWaeONKXinHBa9O7jlYgX9i3ZZ1v03hPodwabyb589PNmzhhv+mynjxpuQhmoxqbC+A9M8jHQoCb/P89FQ/esKSNgT7zU5OVIL8marvmNW3Zi3DQTY6ZrZPSoI00FQE0emPaEBe+BC8eeYPw4k1Iy5NRLpsvvC1+W3UmpcsWNj5jxWmhwoJAo4T3C8VptrarXZU37S0X/CedPk5XfvW5WV5OXJ4NLamqOHId9JQErDT5d9LMqXjzwRlHixYmT4gjxwhkGkgmfLPzZSNwuOvMEeeeTxYZBzYeh7p2Pvior124WziocibSgFMxAsCyJN/sDT8+VxOR0Y1p79YWnogRp1AGlRXVVvPh4e8v18ITJys5DklIY/FEuMA8Xkih8CFGiRikcTX35b6uR9aUyhklI9Ht5+PYJ0j6yrcPECx84dz/+umyEJ02r1q1lYN9YrOMaU3NpES9X3PSo6TwEBdpKmtjefu4u1CK3N6xz1e0zxejJlz+U737+C144raGUaYuOxTjDJmtTBBQBRUARUAQUAUWgOSHAAAFvTIyxrIL9xZMuvFVW/fDGAcTLnyvWV3gL/vHPOnn0hfdNqAIHnfT069+7m4HlKMz+z3vtQVOiXZP/X3PCT4/FcxCwJ15q8nLkhG9N1zzHPxdd96D8/c2rxg+T/67JA7MqYfHG07dJv15dK90Dy/5aI0sxMf38Q1PM/+dk8PNvfHpw4qWK12VN+2tPvOxJSqvRy/PwITabheqaI8eRiUlua1ylxIvnXO9V90SJF889Nw2+Z2dceac8++CNpuRImyKgCCgCioAioAgoAopA4yPAweAHX3wvLK+mr8X6zQkSt+StA4gXDmrtvQWZjPnTp88eMFlmqZZjOrSv0f+v8Y9a96A5ImBPvNTm5VjTNU+iZeL0p8x1zVabFUNVwsLeYNq6B6iY34HSI1YdsK1YswmT4685RLzYe13WtL/2xAvLgWry8jz1+MMdJl6qOw7aOSjx4vl3jBIvnn+OGmQP6bhN3xeWP2lTBBQBRUARUAQUAUVAEWh8BFgWcdplt8knUKiwVDsxJV1OvujWaomXP/5dZ0rK2X7DTD49BL9AUmTV8nDr3/TRqM3/r/GPXveguSFgT7zU5OVY2zV/MM9L+787Qrws/XON/LXyP5mFiWe2r5csl+ded0zxYhEgte2vPfHCe7cmL8/azrMjx6HES9O4U5R4aRrnqca9JFny2v8tqvbvZ54yoiIKurbDvBy1jfRheemxqU5FDdKjJhdR1dU1RlRbEdZNHGrdfUVAEVAEFAFFQBFQBBoUAQ4kr4Zn4I/zZqHUqI3Mem2ecCD2z7evmvL0qfe9WOEfOBseLyRoWELEQS198O6BEW9NxMuvy+Nq9f9r0APVjbUIBCp5vNTgJTkAtgQ1XfM7difX6nlZV+KFKa+Tb39GFr7zmATCGmLS7U/Lrj2pDileLOKltnu0pKTU3H/LF72ClFjfGr08rQTZ6i6CuhIv9M7h2PD/XrrH2FZo8xwElHjxnHOhe6IIKAKKgCKgCCgCioAioAhUQoClD3+tWm/MP2dcf7G89NYXUl5eLvdOu7IS8bJybTyiZ4tk87Zd0jEqQp6+/3qhL15NxEtQYECt/n96GhQBVyNQNdWoJi/Jmq75B6Zf7VLipUunKKMMo2l1B9wznLSmUfXX7x/EXBdkin3JT037+z7IjwnTnxSmMc154lYJRrJsdV6eteFcV+IlNT1LLp70oJThGfHjJ7aSLG2egYASL55xHtyyF0uWLJEFCxbUa91jxoyRUaNGGcZUWdN6QakLKwKKgCKgCCgCioAi4BYEOFgk4cIUI22KgCLgOALl5XuNUS8bDaqffuUj+WjO/Y6vQL+pCDiIgBIvDgLVFL82bdo0efaNNiKtg53b/fIcGdZ/u1x4yS1IQgqQqKgAsMFBKEcKkaAgH5MoxI82RUARUAQUAUVAEVAEFIHGQ4DEy6atuypMQhtvT3TLikDTQSA9MwfR0jOE1ggMF2HSEst+7ppyWdM5CN3TJoOAEi9N5lTVfUcN8fJWWxAvIXVfmEuUZ8ugHnEy/NhJZvnWUL2gvFi8vFpJWFtf6RoTLJ1jghDn7I+I6QCJiAgwRIyljlGFjHOw61KKgCKgCCgCioAioAjUBQElXuqCln5XEdiPwMcLfpLX3l8o5UgM69+7K8jLa+TX5avr7aHpKMZbt++Rm+HVVF3r3qWDPDvTZvyrrekjoMRL0z+HNR6Bq4mXmjZkCBkvEX/fNtIpOlDatfOXdpH+Eh7mh4+NlPH39zaEjCpkmvEFp4emCCgCioAioAgoAoqAIqAIKAKKgCJwAAJKvDTji6KhiJeaIKSRtlcbqmSokPGRjiBlotoFSHt8SMxEtw+qIGTUQ6YZX4h6aIqAIqAIKAKKgCJQbwT27t0r1oc+fl999VW91jl27Fjj46dNEWjJCLjCE1PvpZZ8BTl+7Eq8OI5Vk/tmYxMvtRIyKFciKUNCJro9VDIRfhIR7gf3fZYs+eN3fxObqIRMk7vsdIcVAUVAEVAEFAFFoA4IkExhShH7PPw9LS1fsrKKJC+vWAoLS6WgoASfUsnJKZbs7CJJTS2UTz59Vv5d0QFbCarDluy/mivXjCuT11+f7eTyupgi0DwQGD/+ennrk4B6eWJOvaZMZs2a1TwA0aNwGwJKvLgN2sZfsacSLwcjZKiQ8fNpLR07BNpMfS2FDIx9Q0P8KvnIND7KugeKgCKgCCgCioAioAgciIClTuFf+Ht+frFkZBRKZmah5OYWmw/JlZycEhAq/FuBZGYVg4QhEcOPSFmZ7SeXt2+/L3tN4tb2EWnlZIDC3hwZfeouWbTobU2t1Iu3xSJQVlYmY8aOk2+X9aiXJ+bUcZlKvLTYq8jxA1fixXGsmtw3mxrxUishw5IlqGSCArwlpkOQRLX3M+VKkTD0ZelS21B/NfVtcleoZ+/w73+vldiuHSS6Xbi89eHXsgXmZw/d5lxM5+df/yrnjD7GHPBhp10rC9993KxXmyKgCCgCikDTQ8AiQexLf/h7Tk6RUaqQWOHvmZlFhmhJTy8yKpZ8qFbKy0Cm7CNWSKpU4VMcBsMVxMvQwZtk8eK5EhnprGrG4d3VLyoCHonAnsQcGXPmeFmxcYASLx55hprXTinx0rzOZ6WjaS7Ey0EJGZAyQYFe8JAhIQNjX5YqwdQ3EsRMu8hAJWSa8TXuzkO78a7nZOLlZ8jg/j2koLAYs45luM7867xJdsaPO/dm+eXz582yaRnZEhYaDOUWTJC0KQKKgCKgCHgUAlXJlNRUlv0UQq3Ccp8SlP6UmZ/5+aVQq9h+pqcXSGpagZ1CxaZScWdzBfEyaMBGefzxR2X0aChntCkCLQwB3uuffPmfPPTQfRIXP1CJlxZ2/hvjcJV4aQzUG2ibzZ14cYSQYfR1505BIGKokKGPDI19A/D/QpSQaaDr0BM2w5frEy99IEuW/ivl+P2IIX1lJtQrXvAR2rx1l9z75JuSmJwGNVV7eeyuifLNj3/Ki299LlGRYTJ98kWyc3eKUbyEBAdISUmp3DXlcnNYmVm5cuKFt8hPqLXftjNJZj7ztmTn5Imvj7fcPfUKOXJoP7npnufNdnt06yRz/nerjL3yjgrFy7c//Skvzf1SSktL4W8UKg9MHyeMDnz3k8WyIX6HFBeXyPbdySB9yuU5xAl2jI70BDh1HxQBRUARaHIIVC37oacKG4kVlvxkZ1OZUlihUOH/T4daZS/LffaV/bD8hyoVT2iuIl7OPPNGuf/+Y8TLC/GU2hSBFoRAamquPPz0n7Jk8WwlXlrQeW/MQ1XipTHRd/O2WyrxcnBCRsTHu41Rx3SIgocMzH3pIxMND5mwtuoh4+bLslFW/+OyFTJrzjyZ99qDQp3JRZMelImXjZXRo46Qc8bfKzeOP0dOOmaYvPHBV7L833Xy6pPT5cyr7zalRVS8WKVGF5xxnNzy4Gz5/qOnzXGwhOj7X/+Rlx6dKudPvF+uOP8UOevUkbLohz9k9twvZBFKijKycuSE86fJyu9eN8tYpUZ70YE/55p75eM590uXTlHy8YKf5LNFP8uHr9wv73/2PQiZz2X+3EcNIfPg03PhbxQkUyee3yj46UYVAUVAEfBUBKyyHxIp1u/p6fnGNyU3lwa1VKWUGGNay5yWfiosCSqAeoWlPjYfFefLfhoDG1cRLyNGTpDx4wbI4Yd3bozD0G0qAo2GwMJvNsiCb3fI77+8osRLo52FlrVhJV6a8flW4sWxk2sfex3g7yUxHWHqS0KG0ddQx0RHBUpgoK8qZByD0yO/xc54QWGRBPj7mf174Km5UI9EyBknHWXIj+WLXjb/v6S0DIqWEvO96ogXEjEnQeHyIoiWvj27yA13PSunHX+EjD1lhBQWFYs3ZgzbtGktKWmZ+N6tsuqHN2okXn77c40hbV5+fJrZdhHULYeeMlH+WDhb5i9eJvSYefHRm83f3vv0O1m7YZtR42hTBJojAu/M+1Y2QX3mrI9Sc8SkpR+TPaFiYUFVCv1T+GG6D5Uq9FEhicIPiZXCojKX+ah48jlwFfEy/KgJ0q9vmNx00+EmTVKbItASECgoKJaHnvpD0tKLlXhpCSfcQ45RiRcPORHu2A0lXuqHqj0h0zbUB4RMEIx8/felLIGQgVLG19dLU5bqB3ODLJ2emSNPvfyhbEnYjQSIVrI7MVUuPeckGXnEQJl23wvy/cfPHLAfNREvj7/4f1CfBMpVF5wmJ14wzSwbGOAnX/2wXD744ntD3rA0aP3mBIlb8laNxMsCkCtbEvZUIlOGnXqtfP7mQ/Lr8jhZvS5enrjnOrNfVMDY/7tBQNONKAINiICriBfeeyQ/tXkuAjUZ0zLdxyJP6KlikSlZSPmhQW0KSn+spJ/9aT+eUfbTGGi7knhhWfa0qYdJz55aztoY51K32fAI/LosQf7v083mmaKKl4bHv6VuUYmXZnzmp0yZgtKJVAkM6eDUUeZm75FjD28tV149QzIxi7RjZ57kF5ZLaQlqnJuYJNcpAGpYiKUqrTEp5O3VGp4xflBOBKBkKdCY+kbCR6ZDVLB4o5SpFQb4rVu31phGV4Lv5LqocCmGkuWh264xg7J7//emdIJfyplQqpw17m4oXl4xZrf0b9mxJ8X4rNREvPwbt0kef/F9mXDpGbLgu2XywsNTJCklQ0677Db5BKVMPbp2lMSUdDn5oltrJV6oePnul7/klSduNUdFA1+WIf351SvyxTdLlXhx8lzrYo2PAO+je/73hqxcsxnvinI5dEAv46nk5+sjNfkaWcRLbT5KNKa+/6m3JDU9y6jS7ppymQzFutdt3Cb3PPGG9IqNkaTUDJn77B2ND0IL3YOqxrS2uGSr5KcYprSlpuzH9v9LjUKFihWa0xYVlxtDWitK2dm0n5YCvSuJF2J29MgOctllg0y/RZsi0JwRoK/ek8//Jdt25JnDVOKlOZ9tzzo2JV4863y4dG+M4uW9CJE2oc6ttyxLBnVdJUefOFmCg7ykMxQf/Onr00q8IUfdk5xnyJiS0r0wB9338RDTOecOuH5LUSHTBglLXvi0iwABEx1oPGQi8TsNfaPaBYmPjxIy9UPZuaWn3veiDDmkp1x90WlQomyXKTC8Pe2EI2TatReAeLlHxuH/M+6Zpra/Ll9tPF7Om3AfPFUukGOOHFgpTpoDC5YR9evVVUafeKSMOXE4SiR2ytVTH5cf580yUu1Zr80zy/zz7auGzBlx5g2G3Anw963weOGRnAUfmXmvPmA8Xt7/7DuY+v4l775w1wEKF1W8OHfedanGQeDbn/6CZ9GP8vpTM4x/xtOvfCQnwkOpQ/vwGn2NLOKlNh8l3pMXnz1KLjjjeIlbv1Vuuvs5+e7Dp2TrjkS59PqZhlgdPerIxjnoFrBVy0OFz0CSI2bRMuMAACAASURBVFa5D0t++LGilKlUyciwRSnbxybbSBWp8GFpAZC59RBdTbz4+WFS4p4RmEAKdut+68oVgcZGYPXaRJkzd60Zuyjx0thno2VtX4mXZny+XUW8DD9+ciWUWAJMtUe/Xm2lZ2woZjFbgYxpY6IU+UlMLoDHRYF5oCGBV0pBxpTh95YqCK6OkIlCyVJ7eMiQkKFSxt/fRz1k3HgvrlizSe589DVct21kYL/ucuLRw+TuJ143ZT6dotvJfZid352UJl1jos3/i+nQTma//aXM/ehruXnCeUgXKjWpRpb/xKPPvyefLPxZln75QoVvDNf/16r1EhocKDOuv1heeusLDDLK5f2X7pEJ0580s/JzoG4ZN+1xu1Sjv2Ci+4UhZzpGRSDV6GoQnO2VeHHjtaCrdj8C/8ZtlFthQv3AreNk+LD+JuWL7dNFv9Toa0SjasvjpTofpcMG95GxV90JRdiciij2C697QGZMvljahgbJRdc9KH9/86rGtDtxeq10H0utUlpabuKT+dlPqtjKgEimkFShOW0pyrrsFSrujk924tCa9SKuJl4I1tgzYuWMM/o2a9z04Fo2AnzOzXlrpayIS6sAQhUvLfuaaMijV+KlIdFu4G25i3ipehgkFry9W6HEIkRiuwRLl5gg6dIxGAZ3peigFSOOEYQMZMTJqQWyJykPEuNSQ8a0dEKGOFokFkuWOqBkKRqETLsIkDEgZWju6+fnrSVLDXzf6OYUAUWg/ghQ9fLBFz/If5sSjLrsjhsvg0n04hp9jX5atrKCeKnOR2nrjj1yyeSZeC6GV+wcDbPvm3aVdO/aQSZOf8rEumvbj4B92U9BQQnexwWmxCc3lyk/xabkx1YGtL/sh4RKHv6/EiqefyW5g3gJa+st9957NAIFbEb02hSB5obA9h0Z8uSL/2JCbf90sBIvTfcsl2KG36sJmYIr8dJ0r7WD7nlDES/V7Yg3jNo6odSmd89Q+GWEwAcl0EQ10/ckC5JkmuQlJufbSBmoY5JTCiQTBnoWIWPJ/w56kM30CzS643MkAphFRflDDRFoK1mKQPR1+wAJCPBRU99meu71sBSB5oRAdm6+3PrAbBhZD5DgwIAafY0+RZS6pXipzkeJvkkszbMSyOwxYqnftTOekh8/aRnEi0WoEAP+TkUePVKoTmH5D0t+rLhkmtJSpVJQWGoUqPvNaalIbak6VM++w2ix4gVVsfmgH4CwPPN7G3wCArxRsozffUQ+mfeC/LW6lQQFRzt1QHk5idKzc4GMOPpagcWZtMF/vOGBdt55vWT48K5mner34hS0upCHIsDn5UefrZMfl+4xe8ixiq9va/n5uxdl3Wbvet1LEy6Pkueee85Dj7xxdothE1SIf//L3yD0CzFJ0tEowo8c2s/s0M+/rzLBF/RWpD/ibTdcUvG3v1auN2XK8QihiAwPkXNPP1auuWSMUbU+8dIHkoO+RVZOnvyzeoMsm/+SSQbl///mx+WyF6WwA/p2l7tvvly6dXbu+eguxJR4cReyHrDexiReqh4+vU9Cg71x04XAzyLQ+MXEdAzBrAp6D2gkZAphLkoyhkQMCZlEeMgkJqFsCUoZVcjYEKV/DEkZpizRP4amvjYPmUATfR0UpISMB9x6uguKQItGgPHnWdm5cv3VZxscaGbNThU9kWryNbJPNarOR4nrOX/i/TLu4tHGV4lJZY+98J48OH2c7EJKWXMgXqoa0/KYbUa0tthkkikWuUKChSU//FChQhLFnlRRY1rPvAVJoHij8o7vcdunNZSt8M7zayNeUA63IdMCEgTjFQwkQKqVlEkhiDXzO0u2wZWRQOPA4vefX5G4hMH18vHrGvanBEecb0gdbxA8NJ9vH+krp53c3fQtIsJ9pT1VuPhEoCzaImLYZ7M+nom07pUicCAC6Rl58vCTf+IPvLdKMembLzv3YCJ464eyNXkYmMYQ52Arz5ap4zJl1qxZzi3fTJei6vWjL+H39vQMUxL85Te/yfNvfCo/zHsG47wcOfXSGTIT7/DjRwxBWMXvMuvVj2UxfNs4mcC/kTg565SRptT/utueBvFyulx5wakgZD424RYTLh1jFLWR4aHyFEgapn8+dd/1Jnn0lXfmy9dLlqO0/zGPUsQo8dJML3YelicRL1VhNuVJ6HTEdAgEGxksXTuDiOkQDDVHoDEn5cvd6oQWFpaYEqXkFNsnCeqYJBA0mawxNz4ytrKlltzRNKa+wDMkyFs6AVOqYtohYan9PkImONhXS5aa8b2uh6YIeBICGVk5cvfjr8vG+B3SCs/ygX1j5eHbrzF+SCxBqs7XqGqcdHU+SttgovvA03NByqeb59nVF54qF501yphbezLxUjU+OS+PRrS2kh9b6U/RPoKlxJArVKzk5LA0qHCfOe3+pB/1UfGkK33/vpiyYW+bSoV9G0Oi4P/R/46kig/IFd4LJeirkEApLCrHZBMSnorK9hkOtzKeYLDNQWN24sHb7z+9XG/ipV+nFdIm8Czjw1fRsPn+/cJBtASa/8UZZia0+/q2MUrmMEz8hGAiLSTYR4ICvRG6wH/7Snhb34ryaCVmDn7+9BsNhwCfwWVgLL9YuF4WfJsgO3bkSiqUgBxDcEKzLPcLWUcSU4kXl56U195fKIt//tuERjDVkK0MDzkSvG988JVJOfx4zgMV25y/+DcZcdgAk+y56Pvf5fM3H67427OvfSLL/l5jvv/MnI/l6x//NOb6bDy/R5w+SV56dJocMdTmUcXtHDlmksx+7JaK/+fSg3NyZUq8OAlcU1jMk4mX6vBjZ4Uv8x7dQmBySjImGKRMaEVJjb3klR0U1qjvTsyFkW++pOFDDxkqZNIxE8gZISVk9itkggK9QMgESTRUMhYhE90+CIojm4eMFX3dFK7rxtjHH374QRYuXFivTY8dO1ZGjRpVr3XowoqAIuA5CFQlVKwOYDLUmvRTsalSbKU+NKalWS0VKlbSj+WjYpUAec6R6Z5YCLDfYSv12U+scJKDhIo3Ex5BtrQByYIRm5SDMMEkOsgVkCogVnKhRKJShZNCe/E3KpJc2VxBvAxEcmVkpwskMbGg0q5FRPhKv37tTN/gYI2lUZz8YalSMCZ/IsKglAnzRXm5r7QNISljI2ZYbh4ElbM9KePI+g+2ff27IlATAiRb0tLzZdWaFPl7RaJ8+dVWyYbPpH3r1CFAkrZ/JHHxA5V4cfGllJaRbSZFdkOVehQIlVEjh8qpUKgw6OKBp+biXOTLMw9cf8BW+besnFyZ9eCNFX+jOT9Lj5YteMkQL2sRWPHG07eZv6ekZcrx502tdu856cPUUk9pSrx4yplww340NeKlKgScYeGsUd8ebaVX91BDxnTrYiNirI/9MvYKmUQoZGjoywdualqhIWV2J+bZYq+ZstTCFTJk+Nug88jyL/rvREMh057GvihX6hAVhJQlJWSsaystLU+uuGqyfP0DotlbBTl3p+7NlfPOyJZ5H7/uUEfWuY3oUoqAIuAqBCxSxYpQ3v88yN/noWKLT6ZyJQv+ZCRU0tNBrBji3yr74U/Oxrlqr3Q9rkSAXimWj0qbCmKllXn/+UClQjKBhAkVKuZTQqVKmc0vZ995JYm2d+/ByQlX7re1LlcQL4NAvPQdcpWsXZtmrlWrkUwZPLgdypfrb7LLvlxrqnLx4XrbR/obdUwEPuEgacIMUeNvPj4gtNiofGZTYsYdV07zXief2ekZ+bJmXYqsXpsKRWS2MdLdtTsb5u45lQ6el9mQAe1k1d9vKvHipsuC71Imi9JAfyFULB2jImXuc3fIw7PePYBcsXbBRsrkgZS5oWKvmCT6DEqR6OdC4oWecC8/Ps38PTU9S44792b59PWZ0rdnFzcdiWtWq8SLa3D0yLU0deKlKqhWeVKfHqESa7xikJ7UyeYTYyk2qntJ29fNs1SJChnWdbJciYoZxl/vJ2RskrWW2vgSYucoDLNVJGQ6QiFD7xhGX0dBIcNOkaU8au6me+ZlsWq3fPbFZpn/5fMSt6F/vWZDBvX5Tx5/4jHUzvfUzmRLvcH0uBsdAfv3AXeG/yaBQnNaKlT4sdJ+8vJQCgLVglUWZKX9WMRKC35VNPp5rG0HbMa09goVm3eJv38r8fH1gkqlDcp+UF4AooEilKKSclMCVFBYJjk45/x/lhrJ0bKfxgDEVcTLEcdeJ3FxyShzK6l0GB2gBOjRI9zt7yubWsammgkL9YWfjB8IGRAzIGSomAkDIRMW4ish+KjHTGNcaZ6/TVOmB3XLitVJ8u+qZPlvY6ZRnVmttLRcVsYl4R63Yxfxx+j2/tIjtq0sX/qqEi9uOM35BYWkT1Fm7GvWnpWdJyPPulHmvfqA/PbXGpm/eJnMn/tIxZbnfvSNnABVzA9L/5EF+Jt9qRE9XP5etUE+fPm+A4gXruDw0ZPk3mlXyJnwhLEa/d86RUe64cicX6USL85j5/FLNjfipTrA6UPXpRNLkviBTwzIGPqakIDhjEltsyVWB5wP7J27c0DE7PeQ2QN1jPGQoTrGqGRaNiFjKWSiMFNFQ1+WK0WgcxTJWSoY7oWG+DWrlKWsrAKZv2ij/PFXsiHlfl86xyXEy3CkR4w6tpNceH5/t3dmPf4BpTuoCLgQAfuyHz7T+eznT5b6ZGcz6YfeKTY/FZuPSrFRqKSnF6GDjsE2B+EYce8fcLtw53RVLkGgOh8V46HiDw8VTgpQUYE+QWl5K/PupkKFHypU8kGq8PxSnUJipTmQZq4iXoYfPxmlRjmyOT4Tpr37TxWJkEMPjTK+LY3VqCXifvDc+kGhFBnujw/KlkDQhIX5gJhhORMIGqhnWMZEYkb9ZRrrbDXsdi3flu07s0G2JMk/K1NMv706H6w9vL6hfLFvVF8N6Bdh+q8aJ+2ec3fLAy+ZFd8z9Uoo7APll+WrZNp9L8oSJBCWoC6TBrozJl8Ew/yj4AXzlzyJhKNv/u9JMyFyysXTsdwVMvbkEbJ+83aZdMczMmX8ucbXrarihdsgMbNk6b/weZmK8Jb28snCn+T51z+V7z9+RgID6q/ccxVCSry4CkkPXE9LIF6qwk4TOBrM9upuU8QwPakzVDFMDbB/IR/sdLHDnpdXDFNfKmKgkkH8NVUye5LykSBRaktZMsa+SsiwZCkAsmzjHwMShqQMS5Y6omQpAkkItamRDnYeGvrvfNhv2JAiH3yyHn5BZOptzZXEC9c36rhOcv45fSvk1A19nLo9RaCxEFiyZIksWLCgXpsfPXq09OlzmPFN4XM6L6/EKFNsn1Lz7zSk42Xi7+yE2xQqNmJFm+chsD8+ubKPijdKjf2Y9kM/FXiplIE0sSUcIu0JREp+ATxUQKyYch+W/tBnpQWdY1cSL6UAdcWKJBj+Aly71q1bsHTu3NbzLpp9e0QlNL1lSM74IRaYKhmqZQwxAzKG/jIkZ0LxoceMvWKmuat2Pfak1XPHqGyhen312mT4tiQj1S7f9MVranwmUO2Sl1/5S21DvGVAf5uPkRIv9TwpNSzO9MGHZr0ty//9DxMcxRLbpYPcOP4cOWHEULPEj8tWyDNIKGKcdHf8jXHSww+Fuhzt1+VxIFM+lO27kqVD+3C59JyT5LJzTzLnqzrihetnnDQNe4uKSqRPj85yx42XyqD+PdxzcE6uVYkXJ4FrCotNmTJF5ry/W3wDnJNZFeWnydC+reXI4yeZWaOmmKZglSd17hhozHr5sxPSkzpGB1X4xDhaQ8xBOQmZTBgkJoKASUqBKzrKlhh3zX+zI6gKGdudYVKW8PH3ay1d4M0TA1VSexAy0VDLEH+LBLN+esL9xJf54u/jZeE3CYZUs2+uJl647iOGtZNxVw6u6Ah6Aga6D4qAuxEYP/56eett+jc46ZckuTJ0yB45+uiJFQoVEivaPBMBex8VerZZMcq+KPnxQUoOiXuqGVj2U4LnbkkZDWphTAvyrAClAiY+uRF9VDwTVdteuZJ44foSEjJl+/bKHhh+eIcPG9ahyb6nDDGzz/iXiqkIkC/GXwaqmYhwm7dMW5A0USin9vFBfRpaXSbpPPn6aE77xv5ZairIFvi2rFqTJtt25EAx4dhzPxU+fRs2Z1Yaw/C66NOzLSYJbcldSrw0p6vFs49FiRfPPj/12jujePmgHd46oc6tpyxLzj0mXl54fhaMi6j2yEPefZ6R62UjBrPq4NS5jTT8Uuz4BSPlp2dsqHTvGixdOiJBCaa9ljKjrrMgFiGTBo+AFKhiEg0hU7AvZSnP1JmahKV9xr7NQeLs7FmzCJnoKJQsITo8Cj9Zzx0JZQxTlkztPd6IDUnI8Pxt25YhH3+2QbZsq9zptI7THcQL1z38iPZy1WWDmmyn1tnrQJdrmQjwXhs9+kr59rsYlH0HOwfC3hwZNGCjDD9qgnPL61IuQaCyh4rNU8UHqhR/JOWZsh+8Zzks4ruvGCEipfuSfoqKYU6Ld6Llo2ISfxwbP7lkvxtqJVTf+kNpy5Qf/s6D5OQMCSX6TdTU/EBGkQgIhVKDMc1ewJSx0/ykoDSOP6m6NYNFF8RJ01yXpUZshYUlRvVStW/Xt2+YtGvnLFHaUIg7tx2qrUxcNv1l4CfDcmqWUVM5w3NAXxmqqNlHsSbplJhxDuu6LmUpz+PWJclf/ybLZvTPiotrvneqWz/fOevWpyLttLjSnwNQnjhkYHvj/WTupV9eUY+Xup4g/b5TCCjx4hRsTWMhVxAvQ7utku++ehMzA4Gm5o4PQn4SUFMZvzVTNqImeCuZZ85UgX1uih0ovngD0EEiCWOirI0ypu7lSdVdFcSKqhj6x7BciQRWcgoUMjD2pZGf8Y9BD5QdnaaInavuBIuQYdpBFBOWoI4xcmHOToXZzH3dEXudnV0g336/RX5eugvXb81H4y7ihVscMTxaLr/4EC07ctXFpOvxWAT27MmS008fLytX91bixUPPElUB/HD23xvkCVUq/LcvCAF+fPCubIV3Zhl8VPjeZ6lPATxyOMFQhEGR8VDBO40qFU82pnU3/IEBXvCdC0GpcxDUnyiTAgG1C2b+WxKyDflSUyPpQs86qnKjkDQYGOBtiJYClFVx1j7RlDzn2QaLLiZeuM5Nm1IPiJYOhzqkX7/IFjlBYEiZfca/wSAVqZRhGVMoylSMv4xR0KC8GsQMCUdr4ohYOqqmdve12JTWb/m2bNqcLv+uTpY/QbjYnivOHQU9vVYh2aiqYr87Sug6dQipWKkSL87hq0vVHQElXuqOWZNZwhXEy6DOK+Xa6++USSiJsJhhewAsImZrQpbsQFTb9l25IGSyoIgpNZ2ypioBZ215V5TH9IwNMaa9ndAJorO+FWNdnxeqZepLhUxScq5RxjD2OmUfIZNXgKhKU8euhIyVssSUinaQBbcHKdMJSQs0UGbZUvt2NiPluipkeA7W08tl3nqcg/1eLjXd3O4kXrjNIYMiZdwVAxvVxLDJPNh0R5skArzn5s1bKw8/fJ/Ere2jxEsDn0XLR8VGquyLUYZKhR4qviBTbGVAbYwypZykCt4/NlKlzEaqlJTBR8UWr9ySfFScOU0sY2BM8kAYd/r6FMiLb70rpxx3jMR27iebtmSadzsJFRIyRZAD5UJBnA0yphhqIHqS0Jvu06/fx4AfrjX4DpNBhg8ZJIMPGYlJrxyEAeS6jXihEXVcXErlsgxGSw9qJ8HBnmNQ6cx5cccyxviXxAwIGiYwRVLBi74KP/SYCQvl5JGfMf6tOnlUn36kO46lsdZpkS3JUIsz/nn5P0kmbdQV9gab4tPNuuwblXlDcT1bpWWGxFTFS2Od/ha3XSVemvEpdxXxctSo6+XiM2Pl+JFdD4qW9QBlTPOOXTlGGbMJqpjMnBKjiCEZ0xQb/UrC2/rAtDfUzEZ1BinTqUNQRXJSXcuTqsPAImQyMukZQ4VMHhQyhUYpQw+ZXMx6WSVLNBIrd3YKoCmegCr7bBEy7Lx2gm9PDDqq0VDFREIxw5IlminXpJBhrfD3S7YYLxdHZavuJl54eP36tJUJVw+SoCDt3DaDS1QPoQoCaaizf3DmUvnpRySEKfHisutjvzGtrdzH8lAJwLORCpU2IFRa4f1FAUppaSspgolqISJVCzHI50yylfSjPiouOyV495B48TXEy2dfzwOREi2dO0TD5HGI7ES/yAsltSyx5QAwB5NUVMJy0op+cYFQVbCP0RXeaN1QAs0yl8demCunn3gsCBh/2QrFTGJKjrTDRNDiRc/LslVl8PGLcGrn6eM3YpC3HHfK9ZIOI2oaFNNfh8RLRkZRpXV2xHu2e/cwVXHUEWmjIAMpw9IW+sgwlSmCUdkgZtqG+kg4iBlO6rG1tKhs9sUyMvJlzX+p8s+qFFPqTVLSVY0qsZWISacZt32j12O3rvsNo9m//2vZHFm1DveSv5P3UkGaTLoqRp577jlX7b6up5kioMSLh5/Y5NRMufOxVyU7Jx8v73by6J0T4dzug5d0ktz12OvIRM+Vw4b0lfumXXnAC9FVxMvwE64Hk+8td005FPJK2wvC0bbf/yRfdoNM2LUnB4RMHoyxso3DOImYpsgfsLPrj5nCHl2hiOlCn5hA6RwTamaxGGPtCiLGwtgiZDIRcZyEEqVkEDJM7EjBhyVL2SC1+GIpw0yllixh4IEZQtZnd4hm9DU6OpAA28z0/E183ecL4mXtfxl18ihqCOKF57sn0rgmTRiMmcW63WeO3o/6PUWgMRDgM2z+/P/kq68T5Pdlrynx4uBJoNLPG0m+/Gn72IgVEss0pvVmaQPLfjBWKSxidHI5fEQYnWwjVIyPyr5EJ8MGaGsQBAg1y1GGDmyHZ3qwfP3DL/BrCURax2Em2npX0h5ZsPg742nm7e0jl559tuzaXQBSJUuCgr0lBpM6JF46x4Sgz7RH3v9ssdx/y3jZgUjcXXjnJyECfQ/e//PeeVJWZoxAFJSTqUMlmXJyt39k4adzTJ+FytscqG9Wrd4t3yxOkCyQQpzwycktNgqogTgerzZe5rrSVn8E7KOyIxGNzZIlkjFUyrCsieqnkGBbIlNbEDTWZBK37Mo+Zv2PxPE1UCWfk1MIsiVFVsIkd/3GTPPcckfbmpABdVh+pVWTCBuC6zgwwAcePt4ybGh7OaR3mNxx5x2ycGl3AOukJ2Z5lky9MkNmzZrljkPRdTYjBJR48fCTef9Tb8nQAb3k7NOOlrkff2P29uoLT5Px056QmyeeL4MRk8Wc9AvPPKEigss6JFcSL1zn8KGRctVF/ev9wLfKk0jC7NwNIgayWTqU70kqMLMttcXCefLpYnlSp+gAM1vFKGuqMDpGV07wceX+W4QMpcGMuk5CvF56BsiZfSVL2dnF+6I3UfIFgqsld5ZIlKVjxp3KoUAYKwf6e6Ez42Pr+IKoocTevryr6nlqKOKF2+0On6FJEwZJaGiAKy8XXZci0GgIZGRQ7fIbfCrKlHjBWbARKHZkClNX8O+AAFvZD8t6W+PfVDWCKzblP1Tn5aPkhwNh9VFptEvZoQ2TeKFvXL8+4eijRcjXP/6EQV6gjDnpaLx7vGXK/U/Lsw/eBNVLqLz63gJMbAXKBWecYEg1Nr7b2XLzSuW+p96Q0ScdL629Q2XF+gzZnVIIs2Lb33//+jmJy64f8TIo5HeZfsf9ctmYnhV9OyoRnnhiqezeU2CuRQ5WObFz+JFR0ikmHKXkhYagYR8jCxM/mdlFpiStnBNAJPzcM452CPvm9CX7qOzWKDtrHxlgSq6pljGTSZhgoscMk5kYt25fcu1JxIylhF+FSOeVa1LhuZKGuF/3XiRF8J1aAbVL1eSj2K6BctboHoZ8GdCvnfj7+8gvyxLkpptnSNzWgUq8NKcbyEOPRYkXDz0x1m5dPfVxmTljHAbyURK/bZfJKJ/9+DQ57dLb5PuPnjZf++bHP2Xthm1y66QLKx2Nq4kXmoxdcV53GXF4Z5eiZqlicmCCtW17FpKTcmDYCxO6bdkVpr0u3WADrYydFRrsURVDIoafzp1CMPD3qfCKcceuWIRMHmrG92CGLBnmvmk0+IWMOQnEQ1YOCJl9CUskG5p7Jyk/vxjXUiYkrZVd7Yk9zSO94Xfgg0FOMGY/QpAiERyEgQ+YGhrl+eJDIvDnJS/LqvX98VLeb8ZWp3NXni2D+vwnw4++1qHFusJXaPLEwZAg26IOtSkCTRmBRYvWy/wFW22DxWaseLHKfkjC20p+WuMZAoUKiF5fP2+U/OARsi86uRilt5TVc8BKo3VT9oMBt41UaZ5JP035Grb23RoMW2k47Be1brXXqBRYXsQkHBrk8l0SzeQ+pAG988nXKDEJkQvGHo93b5mMOPNGGdA31qyyqKhYjjrsEJl81dmSgXKflEyoWTCRQn8df59yefKFOXLvjKmyGTHPKzdmmGQkq7mKeBk+eoqcdESknH9y9wrl9JIl8TLvk42V+gft2/nJ/fcfg+saqpd9HYf9/Y1iycgsxDEUQomN33EsGTiWNJQspeNnXn6JiQxnn6Mpqpw98dptTX+7faVMYVDKtI9ANDauQ3rNcGKJP4OCqJbxreQxY3nLuNNjxppgpcfKmv/S5J+VKSDoihvs3O/YlYXxhM0LyVbm5WfU6TdMGCJ9e7erIBk3bEyRF95cI798P1uJF0+8yJvhPinx4uEn9ZHn3oWCIlouO/dkeXvetzL/299kzv9uletue1o+fX2m2fs/V6yXz7/+VR67a2Klo3E18cKVhwS3kdsmHyrtYG7qzsYZlxKY+W1NyERZVTaSAHJMjLVJT4IqpimSBeywsUPeEaawXWP4gU8MTHtjQMY4YxDrDP5WPB89eGjsm0YPGUiWd+/JNTOpJGRINNgMFp3Zgucsww5hIoinrbh26mryzEETDShZg8840N3bPpD4BHRiQqKdOsDc7EQZ0q9cBh5a+R6tbWWdcY1cO24QDIWdjN11TeAtNgAAIABJREFUak91IUXAtQhQVv7oo8ugxrN5RjRF4sUiVPjTZkxrT6zgOYGyU6NWwBfKQZxQkVAE+TwVC0YJABUACRX1UXHtteXqtTG9xhApVCDhd3px0JPDJOyh3MMfBBrNiAOgWmFUND/8nX46VhmIfTmItX+vvDMfpUdBctFZo6BcKpFTLpkh33/8jImVzgUhQWPdNz9cJD8uXY51BclVl42HZ5m//LduDXzydsuZo0+TFRsyZD2CC+yVq64kXrivo49qJ2efiHILNN63jzyyFORJ5QSmCdccIocf3qVW6C3FjkXK8CcVCCRlbCqZIjMIT0XfIy2j0Jif5kMNx/e07R5x9ZltmeuzTH9tcdlifIUioJAxxr8V17YfSAlbSEFt17AjCFrKFk74rV6bIn+vSDETfg2tYie5uW5DmrQFCdqpY4AEggTdW95a+sNH79qrh1SQLlu2pcsrc9cY1dbvPyNOWhUvjpxm/U49EVDipZ4Aunvx9MwcmfnM23g5ZcvRRwyUH5etMMQLS40s4mX5iv/ky2+WGv8X++YO4oXrH9y/LWZnBjeoyRoJAz7UN2/JkO1w9TdkDGaAGMtIKXZdB9buPm+Orh8VLmZmgulJRhkDMiYGUdZ8AdIrxp0zEtY+7i9ZKjJkTBJm2+gjk4oX5q7EPDMb29QUMoWFJbIFcedpqIWvT2NiQTfEjG/b+H+yZgtlqM4rXg7ru07Ou2CKbN1miwJ1pEVG+BrPl84xTtbwO7IR/Y4i4EYEFi/eJJ99vrliMOVpxEt1Pio+IMgtH5U2KEdsBUUDZ+tN0hySfahWKQShQi+VYnTy6aPCvzfE89qNp6rZrtqmTqHJKcsx9ifQGA8N+NcFwU8jGEpU/pveLOEo3aAnGFt9BqMWAfHy2/OhgAmUsacdY/wsxk99RKZff5nEdu0in3/1i7RrhxKejp1AwhRLXgEvpL0Sjn7BFwsXSWyXztK37wD5F2VGO6FYtW+uJl647rOOi5bTj7EFKcyfv04WfZVQaZu9e7WVqVOPMP2T+jSrT8d1mAkhEFBMekyHaiYTahkStan4t6WYsdS5SszUB/XKy1r3Ak8ly5XaR9pIGf4eGsJybD/jL8OP/X1QtYyJE6WMbaZvC+OfOUnKPmNDNx4HQxbaRXiZfSgD2cJENhJ5VDdff81A6d+3vdmtVJSePzvnX0w82pTQSry452zNbCRvsfs8mL1V4sU915pb1rpy7WZ5B6qXZx64QU6+eLp89+FTZjuLfvgDEYU7ZSo8X+ybu4gXPqwvO6eHHH2ka0uO6gKafXpSAox6d4CISdiJaOa0wqZdngRsqbDoGRsqPeD1wfKkrp1DK2p3G7Ju1z72ek9SjklcYMJSGjDek5xnBh77CRl2nhr+RVv1muE+p8DrhskPjiYW1XTdtUWKVWzXUCPVdUXU4KAecXLSaTdIdKQPCETHyZeQYC+57ppB0rNHZF1uEf2uItDoCLDM79FHf8NzY39ke0MRL+yE0/eAxIoVoWzS0PBvKhdYStgaXivl0toQKVSp0Jg2G94VVKeoj0qjXz4H3QFM5FcoVPg7fS/4/jSECn7y9wCcaxppBsHbi8/yYMx+0wTffiDJDbmCNLPIhD14B6WANNiSsEteffdj+KHkYj/bYLv+cue0G2GYmyTzvlhgyAsvb18ZO+YcmNe2Mr4pLDEKgKomGuqEDz/5UEYcOVzCImLkPwwkM1EmbN/cQbxw/Red1FFGDe+M0uRsefzxP4waxWqcjJh686HSu7dtAOuuZpWgW/0QKnNNKRNSH7OBQxpKhzONvx38ZjABZ6lltEzPdWeEqi9bXHYrkDJQfqFPZIvItpGUJGTS0/NM33v12gwzSWfOQwOWk3Fc7+fbGiEj7U1EdM/ubeU5ECrxWyv3sfr1DpUp1w0zfWmqr2a/sULWx2dXgKXEi+uuG/s1PdRIxMu9Sry454S2hLW+9+l3eFn7yTmjj5F7nnhDRh4+QEaPOlJuuud5Y7I7bFBv8/u4i0bLoQN7NQjxwo0w5ej2G4ZgZsi9JUeOnmPr5ZyFF3HCjiwoNRBnvTNPNsHbowRK2aZcnkQj2O5MT4LvR+dOSE9CaVLQPp+Y+s46OYqv/ff2pyzZoq7NLBVMfdMhGaZahklLZnZ4X9lSQxEyVLkwFSLVbpDnzPGxo9EZWFvKI67DVcTL8GMnwVyxtcS095UN8Y6TLxw03HDdYOke61zUoTM46DKKQH0R+OmnLfLRx/SJ2E/KuoJ4GTp4kxx3/ERDotjIFZQA4SeNafnvNvhwi+WC+ORieqmISZNh2Q9jlPdCtcJd8uC+WX2hb9LLH+ijYksJYukPFaJMf7EIllCmvuBvJFOsiQl7k1FXECo1gWlNAMVvx+QPJiO278mXrQgLyIMSKhQETywmTmI7BeN3b3Ot2cqKSvF+LBd/Xy8kBLVCclCJJIFU2J6Idym8UKjoiMDAtlP7gIpBLwmXXSjH4WSHfXMX8cJtXHl6jBw1pIO8994q+W1ZYqXtjjgqWq64YnC9gxacvUitPgiXt8guhgtkweSXahl6zFA5wxKSVEwU8XcSMjZyxtmt6nIW7rl5IL6IK0rHGEHOMkuShVSOBaB/4w8/K6Z+8vpuDfbGe194geXx4wpihmRLP6QRDRkYKYf0jQSpakt9WvtfsrzyVpwh063GOO8JV/aTQwd3NNfLOx/Gye//pFa+l7TUyC0X+MONRLzc48Evd1W8uOVSc91KU9OzZAqIlZzcfBl8SE8Y7Y437HN8wm657aFX8CIuluOGD5bbbrjkgI26S/FibWjkYZFy+fn1TzlyHVqV12SZe1ENs2MXYhhBxuxCtNwO+JmUmqSIxldoOHPslExSEhrbJcQWOYn0pE74WKVJDamKqbr/xJzpB0mIDt9NY1+ULDFlaRc6oyb2Gp1KVxMy7Awko9O1zQUqF6aK9Oweho68X+WX8i+o/42vX6kRFS8kXtj8YfbWtYMfohRzHL4ElHxxGCr9YiMhYD8gKsVD9tlnl5sZaXpG8Xlbjl760l9flc07AhCb66RfUk6iHD6wXEafNQVkCkp96KVikn7UR6WRTrvDm2VmD/1T9ntP4N/4n4ZMQUILjWn5scXo2mbUGafL0h+eX8sLjRt0J6FS0wGxpKKY3nMod05gCAD6E9vwIaGH/11B5PGY6P/SFobt9Jng5AmZwDyQfzbib69NiYUvFmHBHMQ2Z4OUoUqTvRJfEIccuFrHyGvc8gqy3zd3Ei8cL004q6sEYT9nv7yiUgoNfY7uu/colEg5WXrr8BXj3BftvWW4BvZLODFEhQzJGRIzLGFiKVMS0jTpsWOvmHFuq81zKQtLqkQsT0B6Vx2s8foh8WLIcfRZGTQRBHKUfSxe2/RGsv5eoS7cp5YhQVPduJkloH1BtgzqHy4D+7dHmaBfJfKP+/omiMI//61MqnSM9pe7bz3SmEJ/9d1mWfBtwgEpn6p4OdgZde7vjzQS8XK3Ei/OnTBdqn4ITJkyReZ8VSa+Qc5JQgtzk+XQmDQZcuSkah+C7DRMvrIvHoBR9dvRBlrakq4y7WfrjkzZCTImHoP1bfCKsZn2Nk1TN54Hvth6xAYbMiamA9UawZCE2l5KjUnE8NRade7pGflIWcqDzDrHqGTY6dm9J69S5LUZnNVhRqq4uBSESxYGdwX1mr3mYCC6vT+8VEJNCULV5krFi7Vulj30jQ2UtevrRr5chzrl3r3aNdBdo5tRBGwI2A9m9sv/8yUbM8wcTBaiY17EhB58MjKLZeXqJFn+5x6TwmIMu2EkSuVJfvonsi3jCGjYQ52DtixLBnVdJcOPn+zc8rqUWxAwBp77vFT4ezsmrECJEswSH8yEB2LAxcEWlSk0o+VPKjdJrLBZ76nGIFSqA8RSs+QVlErCbvjK4d21BSrarbvzbP2FyuITt2B6sJW6k3gx5wSD54nndJMlX22WTZv3l2Xwb2PPiJXTT+/d6P2Lg2FU098tpQzPcyEIsWSod6ncZTQ2TX+ZxFThL8OI7BYWlU18+MxOAyZUt7g6kciETYCUMWoZqFeY9snJJSpnAkDS+MBbi6lNNLOOgtH0kAGRMuCQdnimBBgCpbq2a3e2PPH83wdEVV9ybg85/phYmP3ulrkfrT8gYprrUuLF2Tup9uUebSTi5S4lXtxzQnWttSNgFC/f98DTzUljzpJM6Re4VEaeMFF8WnlVa5bFiLY7bjgUD0qfJnc67Jn8hJ1ZMO3Nlq2QDG+Iz8SxtjKdq4Yqk3EleLYXWiu41/tKd/rExICIiQ6GSWxog6UnOXI8FiFDQ1+WLCWjTCk13eYhk4R/52EWe/+ArTIhw2Uz0CHYsi1LCuzqzx3ZbtXvMD66S+cQCQ8PqHFxdxAv3JgP+g+9uwfKmnWOky8c1Ey8GrLZoTHOHK4uowgcgEDVaFhzf2HgkZtXZEp0aGJO80vK+DkYoYqNs58sizASfnzsn5Vc36rVyZILlZt988KMZVnel7Ju51AlXprIdbjfR8U2EPfzbbPP54HGm1B0QJVC3xSqVviTShWrFJbXUUOV/dQHTqsvwOuWKSzbodbcASNbEi170opMX8ATS1TcTbwQUwYADO/pL3/8vLtSHzAU5VAPPnA01Js24qw5NWuSjsfEa4IKGZax01uGihn6QBkDYMZ/o7SZ3jx8/lnPw6aKBY+biUA8tlQ836kSqstEmCuP29+vtUSh3C4K3jKdMJnYDj/DoESmz4xVbmhTygWYyTIStvO/3ijf/bS7UtgGn1H333akmeR76a3VRiVZXVPixZVnb/+6Hmsk4uVOJV7cc0J1rbUj4AriZVDI7xJ1yJWCCSvphIE8/VKqtlOO7SjnjunVKNJfV18D1guXJMx2kDE7UCITD1O7DLx4SyD35YxtU2wm/hQdqD492sK0N1S6dQmGb0zbBk1Pqgtu7Ozk5lIOzNkWmurZ0g6obKGZcjwSi+jhUwRptrOJViQwunZhmZYtRaq25i7ihdukN0Wf2ACJW1d5RrG2/eHuXnx+Tzn+WFv0pzZFoDoEeB/x2rYnVoqhTmHHOgd1+tmU3TPaNYsDimLEvcIbAfccZ/nZ4a741LETk5aWL+vXpx3Qae8Ej6qk7R9JXMJgJV4a+ZI90EellSmNoXdKEEtkmGZiSn5sP4Pw/0OD/TAzjc4AWlMgVGqC2HrPk1TcDgXmbpD+CXtA5O9CSWw+yoaaiPq1IYgXYrgXD4KgIkyG7EuAsXC94vK+MnJkt4O+Pxv5Unfp5q0JI3sFYAGel6l45tHzhAbAVMvQW4aBBBl4xtr7y9TxUerSfa9uZdZxcL9JpjPeuzESibhvVMzRvDcCxtLhbf1RPt+6xmuLJLDN+Nfm/xSKEIJ/VyUbEoalfVQx01tm1DEdZdjgDvLqe2swYbDf66cqFkq8uOdSe6KRiJfbPe1Gs4NXPV7cc615xFpdRbwcfsqNsgad6LaBraVXVGAl0yoeKOs0p04cIL26Nz/jT6uDxpcqvWJ2wh+GiTnbQcjYVDG2qLqm1viyosyzb89Qk6BEIqYb0pPsY6wPRkY09DFz8Pjf+mSZv3AzzkWeiXEl/pQJZ2EmKh+dnxKmk4AgKwEhU5uHT01eLjUdkzuJF7NNXEQD+wXL2nW5FYNkR/A998xYOeWkni2q4+sILs39O9V1/nnMJE1yQFhSoZKDeE/W4lM6T38ly3CyglQBiVxufFFcixb3bd26FKRdVI5ybwPyd8jg9rLqzzeUeHEt5JXWxn5uhUoFv4SCRIkIp1eKD8gUG5ESCEl/IMp+rNIfq/yHK7Ke+/bEiht3t0FWbSsbKhemDW2H19tuGMBvgxHubgzEmGbVVCdU/vz2OVmZOaJeqmZOrg0fPeWg52H3zkzpyIRtxl3va11gQn/77UfVWPpx0JU20y/YK6hKUJNGMiMDH04kZZiobJAyIDlSQM5Yhr+2SHrXP4+rg9jav0xDFNlIIvabGqOxL8pnE2Os6eVkqVfqui87dmXBNiC3YjFOrFE1M2xwO6Om5vEFoYSJZUz8aevrohQf4xeWkf24eLasND5+TpbAlmfJ1CszZNasWXXd9Wb9/f81EvFym6s7Ni48S0q8uBBMT1uVq4gXvpQps1yzIUMiIdsb2A3kS+U+tXSK9pMZk4c2S9lp1fNKAqCgoAQRetnGryRhR45sw4cGbaVQBPHl2dQan400PGOEdWznYOkQHSAdo4LQYfev8IlpTCImJ6dQvvpms/yCdAXWHds3y8SNHWuaeNL80PaTEuEi4zth4mLx7zIs2xbJGLFQ+/iwzsfB5nbiZd9+DOwTJP9tyDbmz462s8/oJqed0jwUZ44ec3P+nj2pYilVeLzsJJNEyTKpHUW2Djw6zVSvkFhhpCrl7rbSn7p5JbkSz2y8K+LiUg5Qu3To4C89ekSgZAFG1ap4cQryqj4qNKzkbC9jlOmnQuk9Y5RDaEqLsp/IiIAKIsU+Prkxn+VOHXgdF+J9UwT/r+2YKOGHJEv8jlzJByFvKyGu4wo94OscoPqjopt+GCyf8INB+8dvPSHL0zuIX4hzRtVF2YkyPCJR+o648aBHmAeF3Mb1qXJY10Apg28TG9+9k64bKEOGaNnrQQG0+4K9ApGTehlZMPjNRuIVyHKWM9FPJQv/psqXZUyW8S9Lr51tFtmSDYUj1S0kWwqLGudG4LVMo12bssUP4wZbvLuzjX2/f1clHXA8HaL8TV8wJbXKgAUbolqGJfk0/6W3TGL8+7J5dxjuq0indqOoMFUmXxYKQ/lnnVq+uS70ZD3Oa30wmaHES33g02WdRcCVxAv3IX5bhuyGA3woHlKH9Qo+gHw546QYOePkHvV6gDp7rI25nGXSxhQfpiftgBFfAjp5u5DsU4YBNDt6TbFRyUTZeSzKcbogFjMa9bYd4RVjdeYbwrSXnYV/YIhGlUtSyoEvz9pwrSBkaBKHl28AZj969w6XYMz4MvaaPhXs0FBWy09tfFlDES88ngEgXzZuyjUJF462M8d0k9Gn9GyyRoeOHmdT/151BrUkVKhM4cAmN7/YeBvx34zsZCc8HUa1yZCs25Mqntqn4PFt3pwuiYjGtW80kh4MtUtgoK/8/tPLSrxUuZA5EDEqFc7A7iPBWd4TzNKffaaTNKi1kn4YocwUIIs8tkgVrrY+A5imeH9ZqtR8TIZsxft3J967TBuK35mLd6/t/dsU38D0Dw1A2USQ/14Tl90K3jqZ+eWSAU+z0r1U28IQ9LOnJc77RBjvhDt36grT5Wjvn+TyK6fLvxv2qwVqWtmGDSmSB9L3cJjClxXaUB1wSLhcf/1hJlVRm2sQsIgZq29JcobkOgkao1CBWiYVisIUlGHzfWGR7dWVXXMdVAVTbcPSp3xcP43x/rAm9yL3lRGxZNFVfchE+ARujs+qdJ/zmcrABI5ZDvYAoAIwP+WTenuPTb08TRUvVW6BpxqJeJneGBe5g7e/Kl4cBKopfs3VxAslk3EoOeKD3gdM8YhDYNqLl79lOseB+i3XDYBqovmVHNXl/FuDq1zMXmxnjDVVMegE0riXsacsh/HgZ0KNh2qVJ3G2rRfKk2JRntQZ6Umd8GGny1UvUWsHstDJ+Gz+BhAvqcZfx9nmDUPPAYeEyXln9kP8ZaBZTQVZhnOTlJwH2S9mnRgviY5MMszyWKrB65rqGnZqGpJ44f717RGAtKZcdJgcP+pTT+osZ53RWzvAjkPm0m9WNajlyqlGIbFCH5UcM5NJtQqMGaEKSUPHmTGyZbjASPpZqRku3akGXlk+iKOVK5OMKbZ9a48OcO/eEYYUaEnEiyn72Zf244sI3rYwh6SZt1GlgDwJAbHCMh8OQoIw6xsElQoJlerKfVoaoVLTpWs9u5NY/oukIRIt2+DPQjNckhG1lZg28O1Qp8354/oIgE+tid0NbiN78cLF40GSc0qltBym1CBbqrbfP32q3sTLoJIfZOZDD8v2bTmyZkvt5Es63pP0bvKH6mYYlC/lMCqlf9z0Ww+T2FjnlAJ1Akm/XKn/wn9QwcISUxIyJGb4fqGihWT95m1I70QKF727OJHTGN4tjICORMIZvVv4/LMniV1xOo2R+5oUM1lh30JDvMz79WDqNi947A3sFyFxf9W/BFaJlwPP6NONRLzc6sGDLCVeXHHne+g6XE282AYShbJ2Y0ZFgsWQHihHCfKtmJ3v3iVQbp00VGt+q1wTfDnwsycp16hibF4xMPUznUXWnzfFOTmUluOlGoyOItOTSMR06QTT3m5h9UpPInG1Oi4RpMtmSeRsRT1aZISvnDWmhxx+WCeHZoKtCFGWcuzeR8qQjJnzyiOy7O9i8fV3jlQsKkiHnw7SIY6Z5PDR9MO9ReVUPmY5HW2jjusk55/TV8kXRwFz8Hv2pIr1u82YlqoUpl1QJk5jWlsZEFUqLAPiu99W9tM0yxschKfia1u2pMsu+C/ZNxK2gwa1g3rDz/zv5kC8VPVR4WQ/lSqMUCZxwtKfcJQ00lMlDCaRYZDTk2CxyBP+9LT45Lqe64b6fhlYPN5zCfBVs5EseSgbypMsDLRK8N482MCqofazLtvhPREAooWBQCTiAjDjXiytJAsqkgx4qDCqei/+fbDmKuLl6Auny42nxsjXv+ySDdsrq9Xs94Hvx1WIic/B4D4Ynn+Hdgb5gnKVo0d2kMsuG+TyyZeDHb/+fT8CVh8zbm2SxK1NM5OkJMD37mXf09bHLMPv+Zj8o+qFk4CcYCqC2ToJGVf2Q2mSG248W1gGWbtJbn3PYRrJQI5J7LrQvL9sE6C130P8Xt9eYSipD3DJe0mJlwPP5qxGIl6mKfFS31tLl3cGAXcQL9yPhB2IXgaLbrVenQKkS6QfyBfbk+/MU2Lk9BNbXslRXc6RNcCnV8xW4LktIQuKGNSi78wxipimXJ5EiTTTk7p3DYFhL4mYtoYIsB9s1IQVvVy+/jYeXi67DQ7ONs7CDRkYLued3a/WmGhH1p+ckiMXXjxJfl7Zp17Ga2ccvUW69bniAHPq2vahNyTdjEHMzXWcfBkxPFouv/gQJV8cOLnVlf7w/5E8oUKFZAp/z9pnTkvlCsmVVJgjog9bEaPswe94B1BwzVcKC0tkxYqkA2ZVI/Fu6Ns3soJ08HTihZ3xNmBRTPkPflKpEkxFyr6SH6pUGJtsfWzKFUacohwEnUx7tYprkG05a7HKhnjfbUPJrjHBRdnQZqQN8Z1IRUtTbLQTo0qEHi1tEYfrg7KhvLLWIFlKJRtkCxUtzjRXES/Dz5sunSN8ZMIJneTthVtly+6aJzwSUVIdH59pCK/QoDYyrDN8hPD7ffeOgKI02JnD0GWcRMDqR8ZvzZDVa1PkrxUpZhKgtvcRn21WGhB/krChspdBBYySzgMpQ1V7Xn6J8Uyx/X8aUNc+QWjzbfHCNQDyGWSLr6/NwNadzRi5b0jFO7m4YjPcZGERVPmMmK6NvMT3+iBcon1kkFnWFe8lJV4OPNvPuvkaqOn6murBnTJVvLjzqdDI63YX8cKH8+r/bCVHVusIZUG/GJjugnxhR5UpR927Oll33Mi4NcbmrQEgpfrbtoOIQZQ1HdpZnsTUhaZdntTKEDFUxBhVTEwIXsq2+l778qQ1mKn57MuNKM2qn8olMKCNnDkmVo47JrbeL/71G1Pk3XkbZMHnz0nc1vo53h/Rd628/NLT8vEXW4z019HWs2sAXPmhqsh2fNRxxLB2ctXlA1us8swyqK2u/IfR5PROMeQKjAttRob40E8FpEoaZNr7o5SdJ/8cPb/N5XsJCRmy3S5VgsfFzvghh0RisMk4FFtzRQd3UNdVMvz4yXWCriLphxGkrfYacoUeVkzToAzeSOFD/CCHZ/kPkn+YgIHyHz8/W3yyvVrF3QOKOh1YE/6yRbTQAHcH0oZ2gmjZsjNPUqEY43vPKmNuaofoB4IlEJ5iVLMwmptzCPklrSQRg+JyzMJXVzbkzDG6knjh9o/tFyKnDY2S2R+ul52p1b+jOEhfuTIRAQO2esIIlHQMjfGXU07sImPG9K33O9cZHFrSMhbZQgJsFciWf1amSGIy/Oocn5upFS57UobPyBL092leS+VmKUq+82GsTFKGEdp58I5pg4d8aCgS00BA+wf4NKjqiWrTuHVpFao3jvE5mcm3tv++53ZNB9slBt6F6Itaz3JXvJdqIl7it+2SG+9+Tq6+8DS56KxRDl+uZ159N7C33Wd5+YVy+qgj5bYbLnF4eU/44nONRLzcrMSLJ5z+lrcP7iJeiGQmaknXbuSsx/6BSViwlwzpHiKlIF+6goS59bohZoCtzTkEbKZoUMRsZ50uOqX4bEV6EutWOQtRH4d75/bINUtREdMDapge3UJxnQRBnu8rf/21R35bnoiXC1/yzm2HHYZ+fULlwnP7SVRU/Wfefvtju3w8P97M+vzOJJZ6Ei+DYuPknntnyvBDO8iLb6zGPeQ4+dINs4pZjKTMdJx8GTwgXMZdOQiJARgFNKNWlVTJRycwCx2wHAxq8tDp4r8L0CEkqUKDWl5T2fidMcs5KE9oyNjOZgR7rYdSjAQZql2qGkJzdn/AgPaVBmOu6ODaEy/s15nBwj4/FapU6Ctgyn1Q4hOCch+W/LDUhx4qlnqFiW1sWvbTMFepNblA1VgC1SwwOGfaUAIUfQVFmFxoomVDCEUREi0BSAUMwwDUx7+1cE4qE0qWbAxSqWZxpGzImbPgauKF99CNo2NM+fjLH2+QxHTENFbTtqNPsn17ToWyIjrcW0b2DpY7bx+JuF7UT2lzOQLsD2Zi0mDVmmT5d3WKKVVvaGU0n7Xe8ERhCtCg/uFySN9w49/CsqUs9Gd4b6dh8oJ+M/zJMm0SQlYqkyvHwnyebIpPR0jCfiM8Tgoz7c+kcdYy4G8PFWbvnuEufy9VR7yQuLp2xpOYdOwofbrH1Il4sb+Ibn94jlx14amBnQYEAAAgAElEQVTSv3c3l19b7lzh841EvExx5cXmYoBU8eJiQD1pde4kXvjQ24LyGHqU2DfKaY/qFwryhSVHnWX0qO46A+Kii8KaHUyEGezOXYiyxgzhNniA7AAhU8KYTCcJCxftnlOrYUdiB8qrvNDjiwyHsSQGS5Sr+nh77Su5wnE5UHIUAJXLOWN7ytEjOrtkxmXR4k3y9Q87Kjo2riJejj15stxx0zDTEXn1nbhqYw5rApLkSzbUGOkZjpMvA/qHyfgrB8K80+av4emtaukPZ69oSEuFCokTGgkadQo+7GCRvMoHybLfR4XS6aZpXu3p56a2/duxI1O2wZzTvrXCgHTggEiTgkYyhIM6qkp++vYFWbYCfkkBzplxFuWnydGH+8nNN99jSnxMCRAGiv4Y+Pr7eRmCxZK520coN2V8m+K+W/fyNpM0hPcU+goJKFFOySoxEwdNuWyICXlBiHMOhtqjNZiXnGKoWUDulu9tDaKl4c6Wq4kX7nnHtt4y7cxYyQFhPfuj9ZKadeD7hhNCNNG2fzd3QKnSHdf0l5NPhJmZNpcgQLKFKug165JlRVyqrMNkZ13SDl2yE1gJx85+6Nv36dlWBuOZPrB/e/PMrU75x33m/7c8Z9LNhBE+8Iek2Xwa/k1SJhmpknlQzfDdzck2TojURV9qjNxhqmtN1NHLhsEITCgKgvKmpsZS0UP6RkANXDmFyxUTAtURL+yPFJeUyNyPvgExG1RBvKzZsFVmzZln9iMo0F8euWMCMK5+v9dv3i6v/98ieeq+uqk8XXX+67OeFxqJeLlJiZf6nDZd1lkEpkyZIks/+EnCQ5wr+UnPTpfQ/rEy5Iy7jS9F1Q5FMUy5KHUsrBJ7S3niyENCxB+D5ynjB0ps1zBnD0GXOwgCfLlxcLpjN4gYmMHuQMc2fmu28aRgElBtEcmNCS475TtQTrUDRpx84do3lif4oQY+Mpwz1iBjEKXpbVKTIHs1/je2pCE2frd/n7Zywbl9JTo6pN6HxBmTj774T5b+kQzs9u+Xq4iX4cdNkkH92srk8UORapMvs19fZYs7dLB1iwmQPJAQKWmOq2X69W4r468aiJn//eUeDm7OZV+zVCoWecgV8/pMy8g3Xio2k1qbWS3JFM6YkXChCaAxBsT5bikGtS4D3Y0rsqX12LxQKIXetDENJ4h+KG2M4XYABqVdOwfJOWf1hsFioPFDoeks2/kXXitfLsPgrE2oc3tYliVnjYyXz+a95vKEDOd2SJciAnwXsU+wHRMCWzExkAA1yxY836kYbMplQyRZKBoM9EcaFYiWMlz7OSVtJA0Dv6JSDDAPYuDpzqvDHcQL9/fwHoEy/uRYo0x65dNNkplz4KzOpk2piI2v/O7qhbLYVx85RqLU68Xp026VEq39L0VWQNlCwoX3UGM0ki0syRkCsmXwwChjQlvfMksrlYzHQ0UqE5lIxpCcSceHaX98/9Oc3kbK2N7/VQMotqK0dSf8n2xtr4nWZr+QcdUsf6qu+YGcZ4KRVT5q/x13ES/WNl55Z34l4uXiyTPlpUenSkRYiPBvbUHKXFxDGRLVLuMuHo2Ahi6NcRnUa5svNhLxcqMSL/U6b7qwkwhQ8dLm2WfF2aILzl9uGjRITu4/UtKDukpZZGfJC4mRolZIMdo3CZKcmiebMNC3LzmydndYrxAZ2jtUbp44VI0+nTyHdV3MmmVISc03RMxOyLjpE8M4a5JnnpCelIeX7ZatmXUqtaFvEJUwEWE++PihfMYLxn5ectzRnWXU8bEu8TLJyi6QDz7bgI4OBpFVmiuJF5ZFTLy8nwwd1AFR1jnyEsgXe7nswc55TLS/lGEGZU+S4+RLj27BMnH8YAkLCzjY6uv8d2tmmwtanipMTsjJKzQ+UFmITqbhn6VSyWAnC4oVxj/aSBVbMokHvyfrjElTXsBSp7TGhCCJFd57NvNYfFDHT0KUypXwMH+JxL24alWiLPpqCwwYbZ1jS3F0zfgBMmxYTCUo1sEz6bIrbpSVCYPrRbwM6rJSXnjuSTn2qK5NGeomu+/WPV+EjgAVLfRo2QLSfzM8fqi8JNHSFO9nlg0xaYhlQ0FQUQZidrwQTEsWyqfTGP0urT3quNxFvPDCvPLYKBk5IEq2wPz/tc82Szpire1bNp7ra9emVjbTBil16nEd5N7JhxqDVW2OI1CKB+gWmORyMnPF6lQoRKCgaoSZMx+UErEU59DBkTKgXzvpHBPqEhWxI0hUVbxSIZNFpYxRvXIyxqZ03YPnzfe/7IDaFSX3mIhjdHYO+hqGHMU7qrpGLoakSwh8vKprDUm8FBeXyFFjb5ABfWPNrhQVFcuIwwfIlGvOO2DXsrLzZPwtT8inr890BEKP+87sRiJervfgF5CWGnncZeq6HXIF8RIP4mXcEUeYGMcdycXihfrdNlGdpU3HWCkI7ii5/pGyBvLHxOT9dZb2R9AbM/QTzukmY07uXW+m3HXItJw1WbMnJegNb0cHmYlUW1AbvCE+yyb3dqCMx1VocVCeBMl5AmrD61ubHBbmjRjAcEheI5GcFIRPCGbYQ83MelXTXkf2PwGGxu98tFZ2VpnBs5Z1JfHCdcZ0CJAZNx5mZl72wCTvtXdW18lUOKodVEAwCN25u/r7rrpjjukYKJMnDpbIfS7+juBi3xHi9+nlkZoOc1oTmVyItCWUAJFk4U90zJlGwo6RkQ7jxVeGAVgj9B0dObQW+Z3KXiiI/ASBEoHITyby8HeazQaDZAk2CT62jy/UZ2y8r+xTe/j/WHLw6KNLQSBWvg47dQyQu+4aWYkQTYe6adaclfLlp89K3I4h9SNeOq+UkSfdIOMv6iWHDenYIs9lQx60NUtN4+ndKXkgWvBJzJd4GOGSaKnv87whj8V+W1T2+4NYDMDMPtUsXogfysMzKx2RznnwnSltRDWLI5i4k3gJgtLntrNjJSo8EMqXLJnzSbykIUbaanw3rAVJkIGyEfsWAc+2MTDaveHivniOqN9LbeeRasFdUCvHrUtFIlGSKT1melBDNy9MBoX/P3vfAd5Wea//c7wlW17y3nvb2YMdCJSU2QBllw2BljJa6Lr/tvfetlxKW/YOe4WRsAMhkISQvRzHe+9tecpDHsn//R1ZtmRL1pF05BH0PY8fB3zmd875xvu9A4tai7IAtqQEUnyc35xcLNWNR77dWUlff1crmKRX1/dQG1gy3Lf5+3gIXlG80KPRwF8J/xaiskGZSYz1oUCl3GTVziTwMgyd5fnX/JZ2oi/UL3sO5dNf/vWa8L/efPIPFBaipC3fHaDi8hp68K6fz/RrIcn5np8l4OVuB/AiyfNzHMTCGpAKeLlt5Uqs8oDKhwlXCadWjPULrlgacvYCnyY0jsr6FNRIgdQ97EaasVhp3eVGBnnQYw9mU1a6Y4Bs4SOUfPPxlUrE7dUyHRxADEuTyqsZiNHKP+wxUeYJWmV1F6lUhoM0S2+QO9fwcDlFhCnQ0U7QSQXTNyxXhofIKCl+zLgXYIwXBn48WeQ4a1OlrKKdNrxdgNUU094pUgMvfC1XXRJL552tTV5SdfTRy2/kCZHiYos/tPgKxHlWVxv6LE23f1CgB919ezaFhiqEb1pfAsTPiA1pe9XatB91H/4NdpKqgynA+A1KsJalwjHKWmaDTvIl9pod29mnBthIUBt/rP3xQvwxs1O0LBX8G78ZlPQCsKKANp+BFv7hoksWmwyqiLnSXbsqaeP7pQZMOv4Wr7k6ic45J378EPyevfJuHh3K7aB9O56TBHhZufoegZXwwB1ZFBFupWxJzE3+CLcRZEPoEBhgYX+WevizsBGuSvBnmb9pQzrZELMl5fgWhvGy9kLG0QmgBc0fwZ1iXj1tewIvXBEpYZ5078Vxgg9FdUM3Pf9ROWRHE/1kG0C40rIOyIUnqo3bn+zsIFoMf7H1VybDc+nUMne39QXhb4tlxnkFrXQkt01gI8/kApju+vk5sen4wswAYQErKSFAGCfZKiWytX7M7T8wMET/+M8BjEeGqLmtl4rLeoRdOKQhNZm9WxaAqckMWi2blhd/FmX6Y3HOB4tGkDJBwtSC9DROZ9JKmLTS9T3bn6c8G5mY08VJT5YaXXH7n+m/H7qFMpJjafOWXZQYF0mZYwwY/Tr4x1NvQ54eTxefv8pc1czJv78wS8DLegfwMiffh1P+oqQEXriyuCHrxEp3SXUPkGTD6oO0mzQnnGnEL4SG/COpbYGS2pyUAhWQJ/JRIR70+O+XUkqccs437Kf8izHpBvm5ajTDMOrtEaKsm8BuqkZ6ktYnBisGNqzA8LFbMTirrkEs9iQvIEvr2RupWbExvpgwijOKdXVxoqhwL8FrIixYTqFjP8wy0a3eH89vpg3vFAEsnF5DbQ/ghaNG/3j/UsEDg0s3ksJeeuM4lVcZmpROV08+ClfEeToD1JoAX3jQsYBTXiAT4X+zyalWJ81JWCfgv+FCixeHCH/QxSjzb04C0oIqWj+VOdxvWfrqzOvtdc9R95tBlACOQIb3kT/YKgoGVAC0CCyVMS+Vyaay+rHtUlUGr9b+45HdVF9vCPz5II75L38+w8DQ+QckhL2LGHV+v6QEXvhegjHgvufmDAqRIMlMqrqZT8fR+S7xwgpLhjhtqAZsllqw/1gyxEDLfGwLBNkQWBsydyfEmbuRC5hbA/BkUQFQ5tQhwdx3liYFtrwfbFLtinUEJQDV3Zv+j1oDh8g/wrpFrY76RnKrRhz0JQ+ZvKSrVippzWLt8ctruuhpAK2DY4trDCLk5raA+Wi4aBEGdmUcWBOLkDJ46+WJkCsiyvBHXPgb6+0doHz4thyDZ0tJWfcUb8SZqB5+3b3kzoJnSwZkNylJSnLDs7FH/2Cv+9m9rwaS8HL4vw3SgaNaWTh/E2lIWPIzIm87c0UwXXdlmnCPusUmfm81AFy78Ux4kakOoOJj//dn+uHICHn5hFp16X09TXT7NSH05JNPGuxfVFZDv/v7S/Ct6RGALYW3nN5+5k9Y+GyhR556B55oLI+S0f/98S6MzaYyxO77f0/TdevW0IpFqVZd12zv9OIstbF3zeFOyyE1mu230o7nlxp40V0qr4gXI8FC31SX/chZjzkIep8T+wLIPMnF25tGA2Oo3S2EWp2DKSjcn359XRKduSRsXjX0dnxEc/LQuoE4m541YbWzAYPxeuj3eWWmC+anYldnGMypApOmTQUZgg3sWRcAKBEweAsL8TZguVhaecyWQR8HmY8XfuTodPupuLQT76IrVneZlmraZ8QewAtf/xkYFFw/Nijg/1arB2nDW3lUVNo95fbGDU1xH+y9oWU3OMGTgM0fneDn0y+AZAygcNIPG/Kxxwp/kwy88N949Yd/u4Fen4aBlzfYD44yOzXAa+sMijHNW2corfNSYT8jlvnwf7P8xxfsFF/QqDm6Ux9UsYalItXdHjlST6++lm/o8YCDX3JxDF188cQgsR4yhSdePg72lBatlxp44WNGQtp0L4zcfWbRQFqqerX3cbh9HwC9g9ksdS291NA6QNVo37vVo1r56TxMx+M6c3OFNwtLhmTwA8N34wSvCqwTURtYehzpPJNpQ1I+QwaQvOA5kxIuo/hgGQUDRApHUpiL20m65aFbKfh30eQNBqM1pbeph2r/p5pCs/9gsn5c0T795tIoig3VssqOw6fp5c2V4z5/jZDKVFZ1E0JlxgsTTJcuDRUm9UtSfOimSxN+dOCLdnI/jDGGCr5xbXS8QCX0ybMxH2SfrvQUP/i2BCKMQClEfs91Zoux95kXjh57+iCitLto35G28b5HgUWsrIygKfcUG+VF9925EJ6A2nGO0PYhjKIUMdQsUWoByFzXxEzeYdr59bOUW2ub99j917bR448/bs2neMru89IsAS93zsaHJvIpOoAXkRU1HzezF/DCdcEDt1J4hfRgUKMrI2gU2Z18siGYq4cbuXnB1NM/nPxSkmjZOYvooksWo1N2UFDny3vFq9vcaXVgVbQepr3sF1MOiVItUiv0U4Z0nVu7CtR0MKN40m9L8cMgk1kuckxCpSrsd1MOEzt2z2fXfjmb9oJBEIRJrQz/nkhP0jI/uNgLeOEB6q9vz6TkxMDx1RiOSXx/czF0vZ3CIE1rWMrUf9DhQS0bBEW2HzGMDKrwb8FfARvy4Kqza0KDb66+XDEx4VUiU2Zz5vZ3/N10DfAKnNZr6KSgPffBRJBTfXzBUGIQRZAACfIfxKeDrcI/uqQFW6Q/M/VM+H184sn9VFJiCBB6MYvrD6dRQICWxaWBpPHpV45RWfWEhM4ewAufS0gLuynLAerrvQS6FV412pQKsBiZ0VLVACAdUa6CtHRey4a0QAszB+X4ftiurIdNcPtPCCD6fJMN6R4bgsEElk5MkCfFBnpSXIicYvGjY2nq2oejg7n0P3/6b4r5bbJNwEv1Y6V09S/+RDv3mmalxMJT7D5IYz0xluOSWwJ5LhhsQtolKvtoTjNpwG7WL3FxCsiCtWDNsjQk64H5Mp+YFda0pTpPvbIKleDbcjS3HX4j2sjkmS6cLhcJ5tHyxUEAJYIFNsh8r/9jx5uwMJVP+4+2ComHXHhenxTvQ0GBXgZVzBLb++/KRr8rEyT1dRi3lgMgLMeiMY+luO3Tl0pL0S85gJepb/mGWQJebncALzPd5DjOxzVgT+CFjz+CyXhVfS8160Xb9gFNZqNNU++8DBPowGAFRcSH0qqfnk7KhAQKSkubF9pSx1s1UQO69CQGAarrukDV7KUKyImKwCApBWDQCPaFLe0eS2ViIr0pLMxb0pWZQTBBSrDa0aNnEqj/XJkJwh02AzH+kEzwZJgTlL7b8hzlVGRgNm2ll8SJblqYkE/nnH8PVgZZU8yms1qPFaW/G519WhTATHgNsIM/4pRbkUq1/0gztcMThwFNBl/M1SeDON7wvOjqNu1VM/kdZj10SrKfUYqu4303XgPaGGUtqMIgHU/8GEzhpB8/BlV8tOa0CgAr7KdijKWiHTDOLz8J/dooKWmlZ549Cvmg4YTivHMj6KqrMoR743f74y2ltPX7JoOKlGKAmwVzXfZ4mVzOOz2Erro0eV7XrS3fnS5VjL2ZqjhtqFFNFQDH6+DRojPBNdeO2HJ+e+3rAkxAhraZF6598X25QjbUj3lX1wAkHGARsAnufLwvnWzIT+5CCUiriwmSUSTAlgilbFqT+MqhGipwKaZXHnrRduDlX6V029/WU+6XIQhQMA0QrF3oR5etihj/to4VtdKGT6uFCWwNGAi1MM3XL56IlGdJq26yvzLDF8yXUxN84YWpenjmHYdvC4Mtre2DNkm0rf2O2PcuSOlOS8BsyU4PBPDFXnim/e2sPc9s7Mf9yX+ePUCfbKmCT8vEApMM79mirCCBDc2JTAy5sldhdnoA4t7xbvLiIABCc5JJKfolB/Ay9c14ZZbGObfN4Q7BwXiZjRZkhs5pb+CFb4Mbw8bWPkRJQufPC+96kiNTt8mrvzJPV2FimxwfQJ7+vhSYmkoBSUnCbw9IlOY7Mj9Dj3jOnIYH/EePNtA326shTeonDTq+drCf2JiVfX6Y+SK2HWQvlwTow70klsGoIZErqeikfh6xiyzMVpADzOhv/ZCKa33IAyle1pTBgXaKDeug4Ojr4SeDFTBcgiD9GftJiFVQKKRU+oVpteWVncIgTmxhUIANd7u6xIMvDB6kJPsCbDLt+C/2/PN5O52US+ulopX/eGFC5O/rIbBT2IhQK/1htgq8VWBeG2hE+sN1MJ9BFXPPkL/1V1/NoUOHWw029YCfxu8eXgmwVAtOHsHq5Gvwg5gsTZRigGsKeOFn+HNInc49M8bcbZwSf9elDbWCYdiISFVOH6xE0hB7tDCjxRZ/rtmsII8xkMXLE9IhjBM4xrkfsc4dYNiC5EejczxtyFTdsWyI/VkiAjwoEt5E0WC1RAfKKBBtjFhj07YRFR1wOkKjzqP02m9elgR4ueXft5NHqx998bGM2K/PWGG/sF9eGEHpMf7jfz4CoOG1z6uFxbYcpPJwgox+SYG8JVCPiXBGtj9df1H8KTG+42+vo7OPcvNaISVSgVWhFpgUM10E8B++LUsWBo2Z5PqLfpdm+lptOV/O8Ub63X/DU6xJOx5ixi4zlqMi5fA788Q4c1gw3O3ColoIvqugQMPxlLlzS9EvOYCXqbX86iwBL7eKnXCYezHs8HcH8GKHSp0rh5wJ4IXvlcEXjplk3xd+14dBPe1AxCCv6BsrPClRglHggp6cUwaSohXCCrETkPkF7lg1BgtGCQDGPz6efCIiThnEfq68F1JfRydiYj/5vJQOH4XmVs+Il6muvAIxCLkBAzFdvRoBjOkHFVyD0d3kQRoPIKIikFgU4SP5xJVTBJhmaqnBL3twxOP9rCp+m/JtdLxPDDlKbr4/M5oExEybhRmBiO41pHvzt1VZDQaRiZhrY8+SV1F9AF5ZIjviMI/kRN8pdF2p35XZOh6/WzpPHMF8WACoAKZg9dwXJrU6UMVLBikQKNkK+KoE+E9Qsyeb1c7WfcyF89bWdtK//n1QMCfUL6efFkI33rhwLKWrn/79Qo7ByqRuWykGuKaAFz6HC571nTcmY8UTBtKnWOHJXivkng0AWJrAimuEP0st2Cw98M8RgNyZn/dJUsMcXSywWSDFc8cK9jAapO5Blg3hvuDPcnKepQ1xpQhJe2hnmM0SG+wJoMUD3iwAXAC0eKKd10mHLKnAwdFB2jN6kNRufcJuUgIvTgBcFpRG0uc7TL9EwYjcfvDyOPL1mjC433Gwnj76roGKilXUDMBPv/iCBZierjQAWs5a5E/Xrp2f4At/f+wRwolEx/LbqbCk06wxvyXP15JtGXTISPVDKpHWt8XT0+2UALSM1QEzih78r+1gAbeRMzz/2BeN01P74aHjAXMnlrzpIu1D8K0lxPpZPIaUol9yAC9Tn95rswS83OIAXixpThzbSlUDMwW86K63WzDd5fSak/Cf0EbRmnr3PUAVZnq+NuqXKAHJM4F+WuNIXWEQxkOppICUFAGECQQjxk2u1To7yuzXAIMCx3IbadMn5TDQNR8TzZ0lgzGDYHywLwzL0trhs8JeJS4AHiJAi1V4i0ssEnv3AiOruRdpTb0WRx8zGJKc6If31IP27bQ9ajAzOpcCo66GYfGA0csPD5VRbLTvlAED30MtNMrspyO28Ffk5+MCAFS85wsfOwFa6ZBgL4sHLWKvyx7bCewUtCEMODGIwqCJEJ3MBrWQATGYwnIxT8jGvDn9B0wVJcwptZMjbXvjaFPEPRl+F995J5d+2G0oH3LHJODBB5ZRDFbDeZuX3jpOR/M7jR5UigHudMALn5RZavfdlolEM19xNzYHt+J65EjnSsh5BSPcZjWShvpJDW8DnT/LzDtH2F5RSCYWFly8PbFSj2/RGYBL/8gCpA2BzYLmar7KhhjQZaAlmn1Zgj20rBZIhwJwj1q/J9vGLfw+HNYco0aP5vGHICXwwgf1GHKjwq2hVFxnmjG5PMGLblkTY3A/n+6oog+21tHx460Cm1NXeOEiK1MJ2aWnwYtz/nIlrVsTa3Od2P42mj+CzreluERFuQVtdOhYK3zWZsck1w0m+vExCsQjB1IWpEQ+YHrY+l6Zr4GZ30Jb5ycwdkObB8nklm1ltHVnIwDmYaHuB4Qo6JNCf84m9LrCCylpiJRm2ZGlRYp+yQG8TK3112cJeLnZAbxY+gk4tpeiBmYaeOFr7hsYEsCXPgwOu7qQcmSKt4ptdZIj3b3GhELbHGJ80rfAFRHAMOP1iYsTGDGBycnkFx09nvAhRX05jiG+BtgA9rMvS2n33qbxlQbxe2u35HEo63NXrgiiyAhfSJS0MdaNzX2gO2MFA6sYtrSdvDpVCe25AHRYOENhk93UJD9cn7ZTlwJ4yQLwkrXiNsrFStlktg+fQxikpgWYBJ+qcS91SB8RW3jwEuDnRp2g31pSjwkwRQyB7Gm25TIL0GFrWSqYEGBiz/HJDKywl4pgTgvZD7NWBC8VTG54ADYZSJnN1B+xz2k+bdfW1osI6X1T5HrLlgbRbbctFup/195aeu8zbXS0sSLFANcc8MLnDQ3yoPvvyMI7owXZ5nrh75X7TzbBrceEowbtYRVkm7ySO79lQ1oTXPbOkkEGOYJ3BORHAWhhNsu8lQ0xgISFhHh4s8QxowW+LLawWcy9n6Wacip2K6eTThOdmdTAC1+Dd2sQffKpK1iqxq+I51G3rg6h5SlBBhts/q6Knng1n9rbDRdhQlA/CQkBU/qTi88IpovP1o7h5mIZGRkRfFvYJPfg0RZBxsLS4JkunOoYhjSrpQsBtiC5JyhQfsqxwHWSyTJIwWuQNsTtXzWkW2osytXDp+oA6p9jn/ULjw+UADfZb40LewplpCoxVrAuulyKfskBvEz9Ot6Ype/7JksGvTP8UTukRjNc4TN5OimAl8qFC+nWFStM5+wauSH2sCgB+KIC8KKaRnLE9P8AJH2w5EhXQuGeHxc+vceLE68eAYTxCAggf0iSlImJpAQQ4+bhMWc78Zl87vY8F08OyuHYv/GjEgxKxIMAxq4pHEDb1VcmUxISfXSDLy2VdwSrHN0AYhB1OgbGdHRxjDVMZkVS6UfAqCmr7BDMaS0tvGqSnOAnRGHqilTAy8pz7hYc9muRLGIMDOJzp6cEmFzFqqrpxEDEkM5t7v6Y+dINw93JaWPT7ReHVTWpjY0NBk2Cj4oWVHFDjIcf7lvrpTKR+iOAKgBXfPH/5bKJVa35kPpj7pnM179v2pRP32yrM7h81to/cP8Sio9X4nvtpn8+dwzyQuMTFFdMIg7veYGONviTh5fhxE1snQyqW2lJeActPn29UQBT/zipCQq697bsOTlR4baOvTHK67QTjQqAqhztLAAtnMojsq0TW28zsZ0ApmNV3hOMFv6mXQ4dK1oAACAASURBVBGD3I/76RwAw3EIJrjzVTaEymOmjhcAJAZa4hloCZILZrg6bxZ7Agj1w410bEEefF0MXwp7AC8L8IxciqPok52mWS++YJT9bl0c+U9isjz/1jF6YWOFwWIMsxGXLA6GUf3UZMKr14TRuSsjZ+LVFHUOlrS0tqmpoKidjhxrExY6dBIWUQeQaCNmgQf4uQtgS3qKkmLAhBXrASTRJdj1MNqobbD5angs1AOwBaxkAC0D8AIcYdbbWApUd88gHQfw1YoUtsnJUHKwWJkxx7Ade/FlYtGKUwKtLQ7gxdqam36/t2YJeLnRAbzY54E6jjp9DUgBvLSvW0cP33ILqYqLSd3QQCeGsHqOlQBzhSe+PKCsRsfV24t9TOygLznSbaJEhHBClBe5cpSBiMIgDP8wCBMAECYIv+WQKJ2KFEwR1WG3TQYGNLQN5rnfbq+zSdfMk68Vy4Jo3WUpiAGdvqPU0Xw74SFU38gTFBhHYkW4AsCezql+8g1zclEpkou6TSQXTVdBgUoPQR/MaT/6RUrgheM3mbJsyuSXoxGDgwyjEfWvpbYegxUMUsSvvZ3Eqr8r9VgIvkRB/hcVaZnfDg+COJFKx1Rh+Q8DKgwoMWPFH4NJLaCi/c2gCkcpT/ZQcXy7dvuMrT6wStVHf/vbnvEYT92BFi1U0p13LhEkRo+/lENlVRPR0fonc8WEXA3qxsGdL1NR/xnQZVgpAxruonT5Hlp94XpywSSRzbunK2cuD6Lr1qXMan+ga8fUkOBWYkW3CqB1NVZy69uQfoLudGiSKanVD2mGd3RDO8neLO4uYNcpIXsACNcLqXGbGnIoPBYGWuZjQROG8YcTMcCQECKjqEAPigLQEsn3iMZtJpl03SM9tO/kIdK4Dk2pSnsAL3wS+ZCMqneG0qFy08buKxO96RfnRhmAmgxcPPQ/O+mbA53w+Ju43Ohob4o00ZfcfHEkrVoYNmuvCYMAnV398G1pE3xbeGwxOa1tJi6O56cKsMIWZQaMmeQGYBwC30MbJWozce3mzsF13NM7SFW1PdTAbBb8rsIYRsvmM4x11h1rAOy//GJePBuAbYEh24XrKgDWBK5of5gpnIKFMp182Ny1mPq7A3ixtuam3+/tWQJebnAAL/Z5oI6jTl8DUgAvldnZ9MKHH1IAJD79HR3UBgCms7JSAGJG1GoBiDFVeLBZ3dhL+WVdgibTVGFjS/Zf0C8KGNIlx3iDNmj4/809c8GgFyCMd2QkKTMySAlfGL8ow8GBuWM4/j61BgoKW+jjz8upDokZthSWvlx+aQItXxph1WF0can8uxqrJXV4v5g9UlbVJQAtKhhPFpd3QQcsPrmIL4T7hqgIL4oIUwgRwZOLlMALH5tX1coqu42uarNfBmu4XV1NA4/NrWokHnVbJCHyhTFiby8nKomHbCJhdhwdpfWd4WrRmdR6erjAfBayH45OBoDiDV8V9lKRC74q7pBoYTVKiFTW+jhx0WeqWPXwHTvNag188UURff5FtcE1MA3+V79cRKmpwfTFtnL6fFv9lGsUTEYBuuTV9JJ/gJzKD75MeT2n2QS8ZCn2UebZ60nd3UdRMEHWmGDY6C7mip9G0wXnxM5Y/emAlmYY4NYBLOY4Z16EaATQwiCLWObejF2wyBMxaUEONgt7tCjw7Z/Aw1UPO1ErZADDAFlOzNO0IU4aYqw9GgBLDDxaIgHAM6MlAIy72WQacD+3e3g/dbp3G31C9gJe+GRB3WH02SfOSJIyDWzexpKjVEPm2vbtFfT2Z2W0v2gCgGW/tCVLQgQgwVhZvy6GFqUFi3wLbd+Mv8+engHKL2oTpL8l5d1g6c0OxYz7e5YYM+CSmhwomOTakz1le+1NfwSdP0sTyyXBZqlvYtlQL7UgnVEAWiAhN1d44baguB0JRUPCmG5yOpsnmHQ+8N7jviUmEqAe/AFtLQ7gxdYaNL7/O7MEvFzvAF7s80AdR52+BqQAXiqysmj9BRfQ8nvvFQAMLrpBZXtZ2TgI01tXp2XD6DurjV1eDZgKOUWdJqP2mCYYIMQpGrIM2NchFTG7ckRPW9sRCQa9kCQFQzLlP+YNI4XR3Y/l3evuHqQvvy6lfQdbLU4E0q8jnqBlZ/rTFWC5BGDyJWXhwSn/fLezmj7dWgGJ2xC1IVq1D4kYHGNtrqPnBSWWFnGKjan3TGrghb+hQgwsWEJlrHC6U5SZdKcOpEmVANS0JDLWR+FMfViNnuwxw8bH/Iz4W+R/s07aE1Gu/Hthhj+deVok2CkAWkAt599ygCz6LBVdvVn7nUr5PjiOJX0N9PYO0N/+vge+XYYrj4mJPpAZraA8TGA2vFcy5VvzcHeiHlDKc8p7hejt2Cgf2v/1U5IALyvX/pq60D4xXX1hnBe5QdNgzDuJa4PHfjf/PIFWLrEO8J2uRvlb5h+WQtY0jbHyYILLsc7d8DEZBtA5b2VD6IMZaFF4gdkCILUf98L+LJ3wXhg5sYBmZ6pq2/vNADIDLULaEGJnI5XuFIZ3MxpAiwfkpTPJZjF3J0c0uVTv3mhyM3sCLyw5UlTH08atAwbsFf2LkeP7fvjyWAoJmGBoMqDx93/soUb1CB0pmwBfuK0IDjbuHcaA/i+vjKWMpEBzVWL13/kb5USi/KJWME5V6H9VAtgyG98mpz0mJfjQ4uxAykwNFBYr5iuzhcdeagRpVNeyPBwsPoGVDH8WSMY5XtvIlGDaZ8jPqaQci7wAavrxvHomMeaF4ACMQdzxrXJsdEKc5QlGxi7AAbxY/WlNu+O7swS8XOcAXuzzQB1HnRng5baVK0keHk4rH3iAPL29p5yUG15mwzAQ04Gf9qIiGulFiszwxCC9At4UBZU9JlcVeIWc/RycJsVGstY1DeCLD2s5bfyAnSBdcsX1K9PSBIPeAPzIAcpYE+v4Y3j3juc3I7GolJpbTNONxdQD+3ZcdGEsnXl6lF0GF9xRf/5VKVzvGwQQgsEDpolzrDnriBl86YTfUFf3kPD+8X/rCkcTpiT4QgIzvQGn1MALn78H+uU8DP5OGCHnMBjErBeZnreJsbru6hqgorLOaSacWjCF64N/e2LlMTRELgCkC8DRZXCT5X4CkwX/zdgnA6DsB8Or8id40ogFqlXLg+HHkwo/FssYaGLeD8c2c78Gtm4tpY8/qTBgWPH7dMftmRSK1canNhyfEh3t6eFE5QxANA0KCVOZqVrq/L6vnpQMeOGaE9hf1b2UHAlzdniGccyoscJ9yd03poLGb9vKOrc33Oc1tILB0opI5zZmtAyA0QIjXDYFN6/EnZMPnGVDMoTKeTNrzduZnIBOqFGXnf3w3cJK9byVDbGPFN7VOEzSYuHPEgbWZQQinaVKG7LXw6weqqU8l0I6scA0Q4CBl8Abw0mOJDprSl+LmtreaqRb/n270d1lw57UtDuc9hQZT+LjnVLDPejei+MNJEebN2u9oHowSz5WoWXJeoEVmZ0dZHIMwMO7+66Op9QEpTW3YnKfoaFhLFCoBJPc4wUd1ANfJUvBACkuiBc2IsPktCRbiUWoICz0zE+TXG77qgCy1INtzD58dfDhaxXYLCSAz/oSM2vqraaui2oBWvNb3wG2yxDYL/qFQSt/tPPMlGf/G2sSjCZfF/cN+3c8TznV2RgA+Vhz2USj3eQw151ade/ZOG+z7mEQXesAXqytOsd+ttSAVIwXBl64sHRnyR13wDDPdOSvsPIH5ktndTV1lJeTCiAMs2FGNBp0fK3UAKp1L1bLjBX2gDDmSM7fbUKknILASJBqVUBn0CsLDSV/yJH8Y2MFfxg3mUyyc9jy7GZzX7UaLJevymjPgRYAF9avafLELC3Zl664PJlCQ22nghqrk8HBYXr/kyLad7jNpOxGkDpg0MNMDgZjRjDq6gTThOVIfujAPcGfNzdYsAfwwvdTUd1JjUguMVbYbyYp3s/k+yj4qODeerEEXVHTI0SZeoKJIgMNl6m4nmCruAJo4bhlZ0yqXAGosEEdr/BFYrDcBkCtu4dNd8W9bcuRXHPzDZlz0qhU3B04trKmBjjB7G9//4FUKkN2ViTa5N88uJJeeCsP8r7e8UPzd8aTxWMVPWB8AODD+5eR7CdQw7lIDbzwMRvANKmsVVOIvxtlRHuRZtD4ZNUdkqf7ARbFIfZabBFMcLGiW4VY0/oWrQEuxzur4S3D1Pn5KhtiuRArfP19XckD7A9438IE9yR1c1TrSW4rxNbQ3NqO2SxsghsLA1wGWyIhHYqGCa4bpJvzZZGlY6ST9jkdohHn6SWzLVsbqOjrAqsfAI/XUtamU+hPTDPBgtXB9OUn7tTaY/paLlsWQGuXho0vjjXAHP9f/z4AhgnSLTGFPl6JPg59VTokNf7+phc5uD974PpESrLg+zR285xIVAUmXH6h1reFQx7MMV+trsRpduS+NxCMqiUAnDLTA9Dv+syqdM3SexQi7ZFMyumQNfCWq0e7VwqJMwMsbAAudZ22AsQurcQbg7ZnEItmXT2aKeM6X8iXmfGSASB/skWB2Pvj8aC3lwtFh3tRODyclJhb/Odff6WPvo9zAC9iK1Hkdu/PEvBytQN4EfmEHJtJWgNSAy98ccFLltDi224TNfnSUbD7VCrBG6bqSB7t/2IPdXT2gUY4dbLJA3ZOOTIFroRBfx2LhlIq8EW/soW4asiSfADA+MXHC3HVvoirZn33j6kUgYa76dNSqmuwLDlnch3JIFO5eG0snXtOnM1MJVP139U9QK+/lw/GR4/Fj2hZVgBdeVmicG08oKitVwsDCnbXZ7PLyfIdewEvQ0gAY6PdwUkGoTrZT0YqTOMwUGWQxX8sRpkHHmxS6+PNKUAwqPXxgASkj97fXI7VPG16kcBWwQ9/g6ZKXJSMOlWD1AnTXbFlEert5hszjSZUiD2GY7v5VQPffVdBmzaXGqwS81jq+utSqL13mL7Z1TSemOUGYKOxW0MltX3jgF4sjNIj9IBXewAvXKMVVQAxAYrIweBakuxNLgAPjCWSBAKcue/2LEyIprIEdH1WPZgA7M3SAKClBqydZnwn2hVdAJfz6/EJV8v+JWyCq4CRtRcYiM6IQWa/yhZ4PrGvLwMtc3icarLGdbIhH0TJJobCjyrIXYh0jkLkruBLNWaEO58e2eDoIO0bPUQ9bsZNqnX3EjwcRMsWLLR5jDI4Mki76QD1uRjv8xdAUhZUn0BvbOkzCcbx+/XAJdGUAGCBC39Hr7xylA4dbhWA1w4wwfKq+0iJxYTkZNOpfbyvDIsF916TQHFRfhY9Nj5nW7uaco43I5GoHUy4AZtCACw6ud7Ggkku2D1LOP45XUmJ8f7zBmzhOuxVawRGSy1MwNk/rxpjI603C1LJLLPOs6gKOcGoAGa67EHHo5YuBCoMAvTRLzxHCEW0dgaSH70x/hFTOHbaBQAzgy3JcT6UGOtDcdE+8PPTyt54jM/g+uoLbqRd+ekO4EVMpVqwzQezBLz8fA53aI44aQteoPm2qT2AF66D6PPPp8wrr7S4Orhx2/JNMR3efoxOdNRTa2EhjXZ1kqYfUpaxj8SU5Eh3Mn8MGhOjvA2ifi2+EHM7YLDmDBDGMzCQlOnpFJiSQv4wF3YBOGOr3MncqWfr76x93rK1jHbtbrTJZE7wS0n0pSt/lkwRY4Mwe9xTdW0nvbGxkBqtkEFduDqCLvtpogGAp5MPcOdfVgGqK0zhGtkQE6ZwPNna9e1zMAe1jYaaFZ1Lq1bfPRajzJMCJ8GMthsAUh0GOBzL6wnJnadO+oPKDA/1oHtuWQST2glA0pQHQWV1B730eh6AFEMfjunqPzpcRmqkDag6xIMv2fB8ueUXWYIJoKOc2jXAUr1HHvmBmpoN5YZBAMF/dlUyvflhOSJATwgeKgucT1JRXR+16PnAcCRqaqK/QbtpL+CFv+GiUpXg8cQlPUZOYQArjUVbJ8d50903MYDoCqB1hJqwEFDNSUOgzleA5s4AprCiO0/ThtzxabKsUCFfANmQG52ExKsLTBaWDXHa0Og8TRviCT77s0bA2DsOsqEIf5jgAmgJgkfcqeLddkiTQ43uzdM2LPIRGZ12chnJXKeXyIptnRqGGumI63E66WQcqJcPy6j/SAx9edS4yS+fJyrAjR68LE5gkHLJy2umlzfkCqxZTp5ph2SkuG6AFi0KgoR2+jRDZmPde3UixUVOn3zGY0oeuxyDLDo3T4U0Qxjr43yzMediNl12hhKeaGySqxQWJ+yxSCj2mYrZjlOomiGZrMWCUx1YgyzxaWqDZBISQ22kvXkjXDHnMbfNAJjL+UXw3BkLRRjCyTnJcvLpWV60dGHQtNJwnbTaBwlRcZgrRGGxNiKUDXi9yR0sYGPPpLCkla678V7KrbVtjOeQGk190h/OEvBy1Ww0AuZe9LG/O4AXkRU1HzezF/DCo+y0G26guDMQCWphYWnIEy/nYGLbTyddT1BjVSP5DzaTm6qGnFQNAgijQISjMcmR7lTcKSfHKOAbMDMTP2bCuPn6UiBAGCVAGGbDuHCE9SkQ88d1WlbeTh9sKsHkH7paG/pZb9DVL7wgms45K8ZkeoGFr4vRzQ/nNNI7uN7+AcvWnpm8tO6nMXTe2eJYODrT3mLow//4h4fpu32DJFeEWnULfT1NdMEZMvrv/30Eq2EeAFycQZf1FI7FE8bnXz1GxZBmMMV28mDjmsvj6JwzYkSBfrXQR78I8KW9Aw6YIkt4iAekgCPU0mY6oWzyodLBxLn95iyzA2iRl+DYbI7WwA8/VNHG90umeAhddFE0HS3uxiBdAwkHIp0BXuSUq7FCOfFNemDin5WmFAa7+sVewAufgxlkBSUdpB6Ts4b4u1I6GDdDY58Dr3pysz2Mby4GUqlQpJiVAywSTHDnuWyIGS1e6Bu9kTY0TAuoGxPQDgAtvEqNqe8cfcOmvyz2ZmF8NxZSoehAdzBZ8Bv/lgEw0zFa5uWNmbjoUk05FbuVmwRAeLcFYCetGl5KSrcAyW6d+7qckeNU79Zk8phRfVH0zRYXqsQ3b6qsXehHl64MF8ZGfMzHHttLlVVaGSJ/dy1A/dRg0MTEmDdE9QKL6e6r4ighylAWqAt3YN+W3HxOJVIBKB0WLZmVrNJwII4zTopX0CKY5GalaU1y5ypLWre4VFGtXVhi2RAvLPWAtaiLdbZl/GdtvXKCUWFJu5BKKYyH8NMD+XQ/zHn1C8u2VkLuHB5q6MHCbTr/+Pu6UTxiy6MRWx4TqQAzxkuUUTa/p4+/mENvvPoo5dUtdDBerH2QJvb7aJaAlytn42UWWXcO4EVkRc3HzewGvHAnCvbHEiQdBQOEsLRUVHXQ06/lI2Iag3SskuZVq0mDDtnHeYBCRlvId7CJlAMNSElChzBovJPnSXQSBtQBmLzOJAtFMOj1wnlTUwWDXmbDyPz85mxnO92z0WiGaeu3lbR9Z532WVhZuF1NT/ETvFzCMJGxV+GBwxZE1n69vQ5u+ZYhRO6YBN54VRItWxxu8eVxx/yTi26mb3NSbOqULz+jgjZ/uMHo+1pS1k7PvnbcaCyul9yZ/nj/UpjxiTNQbG7poRdfywNjx7Qh4uRKCAsGbXd0hBqbLQBf8MxvA/gil0+/emlxhTt2mBM1MAxtzaP/3Et1ACb0i6+PK8WDQn8kvwugihNVgdJf0Wj4rnGbkJYE02rfqSvy9gRe+Dr74EmTP0ZZZ+kTA/XMjmCTiTaYbPdw2hkAIl4Zj4DZZRTMgWeyD7H14TLrg+9J7onUGTwLNpvsx2S2B34a3fC2GUak8xwec5q8fZ1sKBjAUWwQmCyQpUQoZRSOxCE2ZT5VFjpMVUDrSBsdcDpKJ5yn74uzBtMo1iPa1tdoyv79I/20hw5Sv4vxfoMBn5iWFHr5s24CTm+08DN88JIoSozQMlW+/76KPvhwArhl5ksHum55oEIUa5mBxHuQRhYP2RGzMxqQkJkH35bDOW2CoasliX5SVRgzKjhNZ/niIBjgwyQ3QIb30xBclupcthxHH2ipgWyIZdQlFfBnmQHZkNjr5mssq+jAos8Eo3IE4y0VpJ0nJjViiQjZWJQVLLR3MoByzGSJCpeDzcI+LQjNwHOwJpGMpWkbNpbQD9uedQAvYh+cBdttmiXg5Yo53Ak6gBcLXqD5tqk9gReuC1eFglY8+CD5wqDW0vIZZC1btjcIA0RXDI5LwLZoaNeCLIxex4W4UaqfmmTqFjrRUE4jHe00PIDGeJLjX3Qo6MZAtlm2MdOFDXqdwHzxRuKTAMRAjuQPfxg3MGTm+kC+okJFH31aQlUAvWxpnzwxMLrsojg6GywXew6M2eDtg08Kac+hVotXtpTwdLj1unSKjxVvqKn/Lm3dXkEP/e4PNnfKC2NyadP7z0NfbPw63no/j3YjtttYOWtlCF17RaroOmat+4sAcuqQtCK2sPeFJ9gLtQ3iAZuUJGa+ZIrWW4u9Fsd2s18Dhw7V0RtvFkwxUMzAqnZZnYaGwKPIq1JTJ3xCJpeIUBlWHX2MtoP2Al5Y/+8MqcTA4AjkRgPUjEj5bqyEsxSqHz8svZGDfTOZPs8D+pAgcaDmbDwVlg3JYBbLvk4eMM0eAi2ubxi+GQCQWA4wCqBlPhYGkNgIN4G9WZjNomQjXBn5ILb6VGSzTPeM1CN9tPfkQRpwnT5BMHQomJa5LrLb+KJuqIFyXPNMMm68h8EiKIyljXs6TN5OOPqRBy+NASPZg/r7NfSPR/ZSm97E2gljNe8oBXUPY/xkZlLGE3NXLM6dl+1LlZW9iCnutXjRRYpvg8eXvpC5c/wzpw3GgrEz1/yDdAzd6roeMFm6qQp1VYG0N24PWS49F82ydQlG+s+oF6lT6n4t+4XnAhwUEAHg/LYb0igJ0dHhLBuCPwszi8y9P+aePdfZf8B2KQMryxEnba62rPv75lkCXtbZMrGx7lZF7+UAXkRX1fzb0N7AC9eIV0QErbj/fqMx09PVGHsHsOSoEiaMXFgfWw95RPH46qoTZab4wjjUk9wxGfTUdJJnXzMtaKulE7WlYMIMQR6hXZ0PQkefiI7cnhN/MU/fiQ16AcSwLwwb9CqRkqQAKDXb16V/7UzF//qbMtr5QyNWhq13SuO2ND5OQdcgYjgywsr4PTGVim164Gz/5vv5iF7uErnHxGaJsd50y3UZYItYp4Xff7iR3oax6K5t8HixkYaaFXmMbrrtYbr/zsVG34l2VR/944mDeC5TVzw55vmB9dkw6hMftdnR2U8vvJaLwaohY2G6SgxA1KoXjJFrasUDNvGYuK6HWalCYV0dW/xQHTvYvQZ4dfk/j++n8nJD42pvBTTyMDWsw4pkAcwyja04y7EayRIjZikYK1IBL2dech/nnQsRzuzT0gUAqA3pJYOYZHBkPMsP+EffYJrlT/7Q/rOkT1d48J4GXyp/P630b7aLLtLZBxM9N9QlRzqzZGgArFD2ZpmPsiGGhhhkCYYcIAYpQ1EAWiIBtIQiTYTThqxZqZ7t5yTV+Xnyt3/4ELW5mwYz+FwMeqxyWkaeLuJMRa25Pv5WDg/DY8atxeTucf0xtOM7FyqAX4upcnYaxgZnRQn93GefFdFXX9cYAJ6hYTLyANOsqmkqw5KvgeUnHZ0DSCMapK7uIQCPTrQMkp5hG1IWrakPL3iwZab50cKsIEpJDADDb274/OnYLGyEW13LfnRqMFrUAFv6tEALWC1zeN4pPIrmVjWVV3UbtMWuGOurcU/eMAHn1CEG033w+9p1SQhDSJOcWZ5X2IJUvmKhH3MAL9Z8Ieb3+WSWgJfL5/AH4ABezL8383aLmQBeuHICEDO99K67wFyxzHOlorKDnoQkQqPRykbYK0CFFZLcCq3XCBuPLgSlXR+44LG824ITYMI0kUdXPY3Wl9NoRxt5wS8mMdJLFH11Jh6oEFcN5os8LEzwhuGoajbolQKlt/b6y8Fy+fizUqrEKojYCGFj52J5wZpzIuninybZHVRiavHrGwsETyBLy9LsALr+yjT4kFj2XurOw0DIY8/nINJwRJJOmYGX0869h35+SQythmeLsbJtRyV9vKVaiH2eXOKgX/7tL5dYNPjowsr/S2/kYuVr+oQM/XP5Q77g6w0tPybWYks0TOzuBvji5ycXu4tjuzlcA/rGmLrL5KQtTxhoHgMo19hu3MCZV4YzU/xJ4W1aflaw6xna07QCM/HpjTNNVs9wFy3x30NBGbeA0TIqJJcM4MfYOKsHg/i+Mb8X3fFYKqAEqOEi+FBovzMe4KfzdcOjYSYL92fsMypMNGCCuwALED3oD1XMZmHPGU4bmskLkuhcOtlQMqRc0TBijghwp+hgOXl7YnFiLGnI1tVqiS511g+TrymiCvfqaa/DbdSFVp1YTr6uhosc3377LX355Zc23cNFF11Ea9asGT8Gs2920z7SuBj/xp0A/iV1ZNJzm1UmJUd8sLvWhNLipECwXdT0yP/tpT5Ey+uXm25Jo+/zuqgaxt26NDEGWzohB2xTDRikqPF+PvCQWxoPvyYbZNFiKsoN4GxKgo+QSJSdwb4tppM2xRxPim0YnGMwqgHm33UYEzXAn6WqTo164rQ1yAvnmQl4B8YlxWWd5Abamwx+d2zCHogfBpLqwX7XAGxm8NwDTL9VS4LoDw+soNAQaWXsOm+X0jEPIgfwIsWbOvUYn84S8HKZA3ixzwN1HHX6Gnj00Ufpw7/+1aZqWrRyJV2WlGT2GJHnnEOZV19t8UT8ky0l9PX3TeODZjZgG0Inc6QMlFJ0NNHQcbIbubFBGg/uGKzxHOoiWU8DKXpqKNa5AzGiI3QSK7ZzqTATxh1eMMq0NAqAL44SP+6eM+NPwx3Md5jQf7m1BgkAttVLZISM1l2aRGmpQXavXl6NeHdTKXWMpZSIPSG/Q+ecFkJXXJJitckvM4Oeez2Xisq1xoBSdMoMvKxcfQ98L1zpQ58WigAAIABJREFU4XsWj5vr6t8Xn/exZw6alPtcty6ezjot2iKKbQ+Smja8dZxKJrEXpqtPBVaZAmFMWlEpHnxhv4y778hCZKi32Efl2G4O1gBPgp559iDl50+swPNkZMj9JB0oH0S7bBoKiIng9tr4AJmlJUlRHvTWS4/Skc7TbAJe0r32oC29mVq5bZgGmeB76QJjjgfxk4sCEzlv0Nh1ILQH0sQyAL54wrjVXoUDXzwxmeDvS+6Fcy9wpk6dN8s8lw3JcV+xwZ4Uj5/oMRNcFzz02VxssNdzlOq4LO055pKP98C0r4sTpGTLhxZSiHuIwWmbmrrp+uvX044dLF21ViqnpnPP7aL33nuBgoIm2u2qoRrKcy0yKTnyHVHQyfwY2rhXZfLzU4A5+fDlsZhQy+ntt4/RD7sNjXuzs5R0yc8S6bHXCqkQxvKqDrQtYHVNN1/yxTezONYLzBdp4UiWtMQjZnhRZgBlwCTX309m8VhWqneCj8PtVruqXwBaaht7BaClvKZHMDmfq7Ihc/fPrF0G7xcswL219UE26SIALx5gEfFYX4M2Oud4K0x1tW01pzyuXBxIyxYF0603ZEn+PI4idWvDu8XjAJ8UYzxHqtHUt+CzWQJeLnUAL+Y+Scff52oNtJWV0eFnn6XRAfO+D3FYOUm95BKLJoUDA0NgFRylhklxpSPsH4BV+n6sbmSn+Qtu8eYKGMvECcYXxmMFpaWWVEVFNNwLdseQeMNQc+eQ4u9O0KYyG0YAYWDOGwCTXq+gILtohtvh9fHh5mIY0nWig7F+sMLmtGsQw3z+ebGIETb/LGytp207KujzbTVGzWanOzZTVa+4KJZWnxlr0yW893Eh7dw34bciRaesA174ws5aHkjXXZFm9FthwOmltwqQ0DL1eflA6vGH+5YCtLGMWdIPw9E3wRzKQeSm2MIpVSGBbki9Es+WCYKM4Jd3ZlFIiH3lZ2LvwbGd5TXA/k9PPX0Y0Z7ayaA75C71kOwcrVCTJ9hjpsZRHPWZnuxvdIAc6OMMz4cFVNsyTLu/fJLyemwDXrIU+2jFhfdSIwbwtc39mJCYvs8T0BXxKjpP6iYXlh4FgGmiY7544Z3PSA7AoN+4TMqS2mQAmH1luLlkkMcTP6MAWlQMtCCRjf1ZTs7DtCGdbMgT7JxE+LPEwZg7Et99rOC1BqbnGKPFkrr6MW7bPdIDXskhMEumH58kaeIpxS1xvK9g35RtMJnfvr0WoMtLiG3mhTFrwe5eysoqo9Wr76QLkEh47rkJQsQ6T/wPDB+hFrc2k48mYTCWdmxzhgTX9NgwE8lh69dGU1VVFz373FFh4ccdAB1/k+zjoQyRkxogSknzALV0GGfYTL4Af4UzLUSwAkce21KY+cbmrBxPnJ6qpKBAuUVsUlvOrb8v1zV72NXUd4PN0ktNkA1V1qipG2lD3GbNB9mQsbpgFiGPx0I5kSyCTcy9yV/hTl9+VykwcCevjbaiLS+r7BoHwlctCcS74kb33ZVFyYmBUlW3cByW0v7rOVgdgDWkK1KM8RzAy9TH9PksAS+XOIAXSb8Zx8FmuAYajh2j3FdeEQVgpFxzDSWsXm3RFeYXt9HL7xRiVXJSRwpkvBCa1RGs+PBKpFivFE+sXN5+WbQgPVKVl5MK4FF7PlKUVCrtPdiis7HozkRsjEaJ2TCy4GABhGGDXpYlecjlFgFYk88kxEPmNtGmT8qwkmQb8BQPn5Sr1iXDUM46c1oRtTC+CQ9C3v2ogPYebp0SYWvuOGx+94urUyAZsI2Ns/tAHb33aaXB+aXolPWBFx6QrL8hhTJSg6fcFtfBhreO0eFc45r/s1eF0DXrxBvt6k7A78Tr7+bRgSOmB9OTL0aGVcuIYHcqLRfPfPGFj8O96xdSRLiVUhJzD9rxd7vVAL97b+Hd27MXflqgFJ6ErLAQiUXVLYMwDccKpZtxQIKB2czUAKNskYQwN+qA/0pHrxb4kMrjZeXaXwvH6x8YpnIkdnQbMfnVVdQInCU7u4ynoHBMaSDkdc5j0iP2OUpJEN/f6M7BwSZsguvhehLAqBu5YkV3YHQBdULq1IsmmGOdbZsq2u2xT3tgzJ8Ek8tQ9mfhtKEAbdpQqL/HjyJtyB61rhnV0N6RQ9TjrmVUmiqBwwG00nmpMPbhb7O8vB3slAJqgBxD+Jb2bZAEeFm58jbheNGQs157bTrinv1JPdqHlKP9JiVHnHKUrMqgDZ93AEg0/WZfe3ognZEeSC++dEiIfq5v6hcSiZjZEAavl9hYPzB+nKi0dRCm2OLAlyA/V8rCZF5joecLzwFDABIuh3wlA2BLGIxaZ5qRxc9xAG1WFbxZGGxhM1w2wuX2gdks8002xO+NAMZiTMNpQ8xSjwbzMTzEi2LgvaiAJ5iOsf7C6zl0LL/T6JiH06p0kdLpyT4UFOAFFpIX/fquJZKnRh082kCvf1BmYDgsxRjPAbxMbcm+mCXg5WIH8GKPrstxzJmsgYqdO6n4ww/p5HRLi9wAg82xcP16Cs/Ksujy3t1cQN/vnzohXABH+3LE4npgpTUUK2pideHcEVx5XjitXh4qdKw86VRVVlJbcTF1lJRQbwPHVQ/RyWFxHb1FN2PDxjqDXo6q9uWUJAZiYNTL9yC29PYO0hdbymj3vmab4hY5ipUTi1afHWPR+cVe5+Tt+vqG6c0P8ox2zOaOGRUuo1swYAwLtU0HXIs0gMc35GJQaLg6LkWnrA+88P1EYdD5+3uNe7Y0NHbTv7Ei02dEGsYrSfdjFcgSo11d/XFE8HubkA51wHh6krF6Zk+fhEgZFRRPP0nQ31fh5Ua/vCsTA/gAc4/O8fc5VAPsx8ApJExp7wT9Ow9+LgNYje2F54ivLw+gp16sECePdCs/X0NzWjZpjg5ypdJ6+BCMTuwoNfDCVzQKYKUeK8W1AIhMoRtDoJh0dWuM+ifxMdhDwtsTrBQwA0MRFxsf4zttf6OTDfF+cngiAWNB2tACGOEO0+CIk2CEOx8L+854Y/EiFkyWGPizcJxzNFatZWBC/NjShuzx/HjifURzjBo8mqc9vGzEg86glTDT9YTB/AB980054pnrDJiQUgMvfEEeSCpcs4bZL3HU7tpGua4FJiVHihEvklck0us7Wqek5mgNYE9Sf98grYn2oJ076+koYqD1171YerJ4cbBgWssjsdKWfuronoa+pldjofCbykC/r2PmTVeZ7CGyBIlEWRlKgAE+wnhG7EKere8AsysGB0fB8ugUZEPVtfgBUIyuWOvjZAMT2dZrs3Z/ZvMxGBsWjPQ6gCxhITIwWhQUgbQhUx5OGzflg0XcYlRK1gnPl8KSDuHdiIGcPTbaV2DE3PGLVFqyMNzayzS6H4+BHn3mCNU1GTK1pBjjOYCXqVW+ZZaAl586gBdJvxvHwWapBnI3bqQ6ADDm7NJdwNZY9utfU0BMjOgr7eoepH+/cJRaVVPZGawJbQHtUo6EI0uNUk/P9qerzo/GSuyEwaqw4tDVRe1gwnRVVZEKQMxAe7uWDTOXPlambYMN44bYbkGWBCZMIFgx7tOwYY7lNtLmz8qpBatHtpT4OG8kFqVQVKSfLYcRvW8LJk2vbczHKpB4ZoXu4FmpfmC6pMOc0jYJFK9CPbkhB6tPU418peiUJwMv3B/97MIo+snqOKP19PGXxbR1hzZyfXKJj/Gm39xjmdGu7hg8SX1/cyF9D1aD2MKDrOQ4GeUXigdfZPDPuAfgS2KCbQwksdfo2M72Gvj44wLavqueSts0VNeG9hBtLycFKRQemBwZB3+ZRh4ZpjAAKSKDYBSLaOeaZhxj0sDLHsAL3zm36x3oR8pAH+eVY2NFAxCpE+CLftKR/nZa6ZGrMAGIg5whfAzI1cqGAEjAHFYBqYM7AJoBTJq6IMfqxs8IQJb5Khvi1ECOAI4F2BSp5LQhGRhA7sIq8485bcj2r8n4ESo0VVTgWkIn8W2ZKmxgu3J4CSlO+tLu3dX03Xc11IHUx8nFHsCL7hwhiPC95po06olroGZ300B9giaWju31oF1FPeMmuT29GkHe1w7fFgYdInxdKEXmRPv2N8Fk1xBYiUUqXjgm7fyuYSmMSiE76oShvZgSCSlsCqLrjYEvQjgDPFsWZiopKd4fbD2tsbM9i84kuLW9n2rrtWlD1WCz1DX2aYEWSIeM+Obb85IkOTav+7nBcyUhRkHxYEVFReAHbb5MNmGWPd2Jtu+qpk1fGrKIddtznZWUq6itXUNKtENZ8Njh9jsUXlF/eGCZIDeSsuw9VEdvbaqYQnw/uvt5Kqx2JbkizKrT9fU00u1XBdCTTz5p1f6n6k5fzRLwsnYuzeUmPVxHqtGp+rbb4b64gcx56y1q3LPH7NE9IZ1Z+cADJIehrNhyKKcJDWKZkFIxuXB/6QZjNQ25oGu2rPNMjvaiWy6NJT+fqXG3uli+nqYm6gAjpgPSpM5SxFXDG8Ycu0fsfUm1HYMwzjDk5ahqfxgeByMtSa7Upj51dw/Q52C57D/YYhNVlemia6H1vvB8y1g2ttxjeaUKcdFF1IKO19JyDmQ3V1shu5l8Hn4P3vwAEqcj7UYvwR7AC5+IfS8eumcRhegZG+ouQK0eon/CaLcFk2BjhY12zz49xtIqE7bn+938eRF9s6NR9P5sjpeWJKcCgC9i1Xpu8MpYf3s6pacZGkOKPqljwxmrgc5ONf31n/tob1EvmFYn0K4QqXq0QLiv3wRdXP+C/Hzc8E5MyHLYQDcxwgNJJQNgyhhnfNgLeNFdVx/8jMow2emdlKKi+/vA4LDgn2AKfFmAgWJUEDy4ID9amOEPOQS8S3BjDLBw2hAzWbRAy/wrLBvyQYpIHCY1MQBaOG2IgRYPyMgcaUP2f56qkQ7a53SIRp1Nm+nyVaQNwrelTkEffFBIdQASTc0h7Am88HWw3PCsC4LI83ywkeWAFo1MolhylNWTQU++14qJa68AtgwAbJl8zSvQLnRWd8EzrMvgbx6QpyyGgaqO1TvEE3G0HxwPL6bEhnhQEthZzFJlBk16sh8tA4smNQnSRwCllrCFxZxPfxtuQwbRntRALlTXpKbGZrBZ8Ly60L7MV9kQ3x8vtCgAQDPIEhvpLQRcRILNwt5Xlno45Re10MvwrJtiJTBWkeo+DR0vaCd3yFiXLwxE+6od3193RQKdbSL90dLnpNue2Uf/eOow5G6GbBeWiRYceom+LwRT39lKf7rRbrr/5y30+OOPW3t5p+R+X88S8HKhA3g5Jd+nH+VNjYAVcvC556gDxrXmih/AgeW/+hW5wkhWbGGpyZ7Dpg1AFy30p7yaAUEPa0kJwQDzrnVxoEZOL0VhSRL/tIEF01ZYSG3whtF0gAI5Rw16vcLDqV8eSjn17tSk8YUZm5bea03hxCJmuSTEK63Z3ap9WGvLyUUDFkZEstzmMpj2rTk7VpJVrF17a2jj54hxNkH7tRfwwpW2YmEAZFIZRge1u/fV0sZPy42u4LOnze8Fo92pgKLYh/HJF0gV215vchJq7DhZKVrwBcQZ0eUORIcuWRQuWioo+sCODSWpgU4At4+Ccfj5Dm3CnBPGvv2aEcE3xdfXXUigmFw4dSI7bcLXRenrTL5yZ6ps0qANMi2zsTfwwtfJni51zWqqZ+afkeawt2+I1JA26oovUob8IBfyAdjiCTbLEAaLI+y/hYlnOK/syj0kqeeZPgh7BLMnSxwmp1H4HY6fYD9tmt5Me1vM9L3PtfMNjg7SnhMHSe06PaszsC+QOnfK6euvqyErmr6RtTfwoqvD6FVE/mvUFMwg5BhrhMdJbArb3jFAvbUAab8Ppm9LBkljgm3GffY54a60a4ehXIrPkZLiR4GBE8lMGhy7GJPjHhPg6eRnuyRFgcW1OEiJAoX+0FJwQOy7wkALRx5XVHcjebBHkAzVg83CJriswh+Zx7KhQH93yCt9ALAgAh4MpFAYH9sqyWpu6aWnNxzDO2LaZ7CiqgNsl0FaCTNd5B4Jj0KBtvgvD68UorylLLsP1NI7myunsI7Cg93o001P0tGaRQ7gRcoKx7G2zhLw8hMH8CLxk3QcTlQN9IK10dPTI2pbUxspIHPx9jZ0zO/r7KRDTz9NavikmCvhZ5xB2ddfL3py3I3oz38h5ahVZXyVn/XH65Ba8+WeFurG6qMlRY6VlfXrYikRxnFivGK4k2WEvBNyJAGIAQjT39xMoxpcm9glf0su0MJtOXq4CitIKlCQnT1ADVf40oLQeNJ4h1GfZwgNjTqLMqjl1Y3zkFi09gJtosFMFK7bLUhm+HpHvdnB5eTrkWNyd8vVqZSZPtWY1pprr6nvoidfzjPqp6I73t7tz1J+Fc63wMrYzhNqyoxtoVXn/nLKJfKA9G5omTOMRHTz4PbJF49QsYko6DVnhSE2O1n092Wsfr7ZXk4ff1kt+pXmyWhagkww3DU3MdA/303XJ9OqFVGivj1rnqNjH+tqoACGnW9/UQVZW70gC+CCUFdqRbvC4Io/TFSNtZepib6ghmtBv8QId2rvHqbOMQPd6a5kJoAXPj+3MSoY6lbUqwVAWlc44lghB6hyYpR4tV3m5UpdWC3vxE8vPJV6UQc6YF+GVdjQQHdKT/SfsbbRuqeIpglYlxf6R45zZhPcKCWMcJVyyGy1kiF7TUatvd4f035CStAQUoLcTRubC5P6mhNU+76MaivNp0hy/c0U8MIJQMFrwQKO6IMsCMb/AF/aVYOQEw2NeyZ51wdTZY6cDtWZZq4GY0Lt36umoqIug8fvA+ZcBkATfSnQEFqhwgaAOibAF464DwSQGODvSd7wFFuV6U+/uCRBMHyWouhkQ2oALVVgtNTA/62yFmBuI9oTjnUG0GLtIpcU12ftMfhZesC/jw1wY8BmiRLMcNkE111SMLYP4PbTLx9F3ZkGGgcHR+hYXistxrNzc5tYoL3ogki65MIkSccKGs0wPQJvlyb2AdMr3B8kxnjSqxv+RXkNDuDF2vfK1H7fzBLwcoEDeJH6UTqOJ6YGHnzwQXhW5JKzi3WTxdGRPvrlzRn01FNPTDldR20tHXrmGRru7jZ7KUlXXUWJ550nuhE9fKyJ3vyoFJIj48yNjCQfuhymr29jslg9KYba7MVgg1svjaalcNm3lILKk+Du+npqBdunHSa9vagDBmFmw6C3tVWNgUDv+ETJoCOBJtZNhslSWDyN+kfQgGcYDTrJjEq4ImDw+vMrkikpUSn6+Yip4+m20WAl/f1PCmn/4TaLWBN8zFBMKG69Pg0aY/EStumuhVevnnz52BSjtcn7lOSAhpoXg9UQK817R3vo7IwaSl58h9HLiQ7zpId/Zdy9n6VYz7xy3CgriKnVD/1yIQwDbUuc+gGMn/c2l1tk9JeR4k3lZXgHLUiWuOKyOFoD00Z7a+1tfUd/DPszqLx1bz19ubuZajGxqKhEWz7GdmmDPwMbP/piQsR0/cklDJP7OBggesJ4OS7UncobBjEZEWcmO1PAi+6aR0aGAeQPkBsACDl8JpwwMWNvlk4A9w1tA9Rhxk9CkB6BMbIoTQkgairzZ7beFZb+cdJQPIwtowEORSo9KRjsJO7XHGyW2Xoqxs+bpymkSvcakxfVBXPRRo4Q/jyAOuvEX/tMAC/OeNE8PJzIxRdIw+kt1D7Qh/fLibyEifqE7NvFyZncjoTTvmInaugyLRNK8VtADcdbwRzR2wZNRxa8WHzg46dfIAik/Pp+RE9rAWEm27BRLoPBDPpO9iBavVQJTz/rwgB0snMeE3DSUG0DYp2F5CF4RjHQYoLJI/5pzc6WvLDGEnL2Z+EfjnWOiVQA6JgAZKW+Mq7LV985TgdzjEu3defjMAOWWwcFeo8vEnogGe7PDy8HoGbdvMXUvezahzHOJ1VT2C6RGAM3tfXTD9uedwAvUr8ION62WQJezp8EvPxw4DhkZm9Tm6qLstMT6NE/3YU2ZKqsbOvOg/TEy5vA0uqmFYtS6ZE/3gFg13pWubEqdXi82OFFmyuHfAAeK0+8B/qeDZrFcxcW0bYtbxidKDUeP07HNmygE8wAMVMW3nMPRWRnm9ts/O+vbzxO+44aj9Plja67PBYu9SH0/tYqOlhoHvyZfOKLTg+mtWeEo0OyjuHBIMwg2EStkCN1VlcLSUkaGPaeZCDGjkgrU3urazoFaqYY0o0TBkZuMk9yVsIwLCSWNLIQGnBXCikgZ50eRmt/kkByuXgpmOgHaGLDbqQzvIE4zIJSy59ZOgC3G69Os0lao39ZwuDg3Xw6mGta2sbbx0Kb/sF7j1NOrW2rIacl5dHqC+6BWanxJK2fXxJN550Za7Tm3kfq1w6Y4Rp7tTJSfOmeWxdaDCROPtHBI/X0xsYSUSwp3b5p8XKkNPRNSYGa7j25CIbCF69NcoAvtn5MNuzfpuqjd7+uosKqPqEtOJbbgvSREWFi0w0JDk90eLAegESbyWwXGaQ4WYiOjgn1ELava2UauTjQhS/Z3sCLDKwPBYw1vX0WQObqQv2QAXTgfiqb+qgSAJG+FEIbM60RpEnmSjDkqkvTlQBvpDV7NHde3d95IT8BIEscwOdopA1FIWmIzX4ZxHSwWcTW4sxvVzNUR8ddChGZPPUdY9ZqHSafrUhudMsJoZbjlvnX2Qt44e+azbSHQf3qQBZ6A76drp5hSl8DcGVJF42c1PqpeIFpwjJEXRvhOehJfXvCaVe1BlJFU9/USUp1G6aiXMPxXTDA3ARjMe4YolW2D5Gn3I38kaym8xkx9STPW6akK883L0HmMRyPARqa2PwWPwBaGGRpAhjLIMt8lA3xHNcN7TaDLfEAWeIQ5xwDI9zoSB88z5kzy/5iayl98U3dtD5Yw0iZ6+7qg4muwsCX8MyVwXTdVemSjg/64fvFbJfWST6CzHZJiPak4qp+2rf9OQfwYofm8btZAl7O0xss96j76cJrH6J//eVuWrYwlZ546UNqalXRf/5qyECvb2qjn936/+jVx39HKfGR9P8eexUR6R705wd+IWnNOIAXSatzbh1MCuCFk1j++te/0eU/TTTKiCj79lsq/fhjs0a0HDO9DEBQEJJ5xJSOzgEh5ajdxCTVE4kpD9+TJZiSbtlVS19AemQp3rEszY+uxSRQDnaIrWUEAt8uMGA6KipIBXPebhj1jg4Omq0XS87Lq2IVVV3Ub6HESv8crp7u5B3kT4vOX0ZJK7KElCRPHx9JOzlT99TU3EOvAnSpxQqWpeW0ZYF0zc9ShdhJqcrWHZX0ydbaaQGsEKWrMAD7/OOnbe6UsyJy6MEH/whAsdPou+oO6vSffr2Igo0Y7XLc4mPPHCZV51StNPdrd9yQIknsYs7xJnrl7ULRq3s8cE1L8KK6+gF4ZogzQ+Tnd+GaKLr04kSbwSKp3oUfy3H4eR0taqUPvqmnrrEV52YYQpZXADTGPGmE/a3G3jGm/3NqhX7hCVZWqi8tS/MFW0RDaivC06QEXniCKAfQ4u56EiARJmX4hrph6qvCvQ3B62oUxp+6foHvvRtpK+UwvxzQmxTyBICTjkZFeGP5o04WpfqTv49x+ZVU79G4bGgcaPEE0CLHhGrBuD+LVOdyHMd+NSCY6RLMdF0MQQh+F9va+qi2tpsGIG/zqg+k1h88LGIc8lVLDbywlHsE34EakehsFtvRNWwgJ2Xp4Yo7TlCf74SE3R0MBQZgGBDh9sG7IZDqchW0t9p04+BOo+SDFeXWlon+jL9ljpb2RHwYp+iEh8qFCOhsSJBqW/vo7S3whhHZxfz09CC6+Kyo8f5FJxviCXgNpw3B/6kGQEsVm3CrR+d32hDaBDkMs1k6xGwW/olFZDYDLbPBLD18rJFef6/YbMjD6MgQyfGs9U13GTD6zS8XUSzsAKQs276vok1baqaMuyLB1myDXG4Qa8cO4EXKGp841vZZAl7O1ZsQfr3jIG3esoteeuy3woX1Aog5e919tP+L54S0M1355OvdsD84SC88+qDwvyprm+iGX/2N9n72rKSV4wBeJK3OuXUwqYCXVefeQ3dcl4RO0HjMWs4771DjDz+YZXq4YYK/HOCLb2ioqIr6YX8dffB5pYE+X3/H1HgF3Xt7ttC5fH+4gT76rtFsYz/5xDGhnnQH0mGUfnJR1yRmI8F0rr+f2gHAqBBZ3QpmEKckiWEGGTs+r0jX1XdjZaafTthg3sbtXxgGM5FYAWHKPINhnJSkiI6mAAAwvoj/VgIY4xhRqUtZhYpe31g4rcmasXPyBOSSn0TRhefFSzqIKChpoxffKjQpZ+Nr4WjZMKzqV9YNSNIpZ4Xn0EVo7JU+LlSCFRZjJRuT2vU3ZRm9152IFf0I3wPTnicXlmD96cHlVjO49I93vKCZXn6zULR/Cw9qU+K9qLGxXxjEii3nnR1O6y5Ptsv7JvYafkzbcdrPx9uraU9u5zjdmtuqXLBd1AzCYOLTikQSKJDwTEDpD2CTSkMmS3ayDy3L9KOKxiGLDc51db3/6yfoeHMUTmKlbG+kh1ZG19O1d/6eRsC0YbyvE5NXKBiFtCFzhVkG7PvSjgG3rpiLmdY/pq8CEbaIwI0IlkvWJrFiw0/uQgmIxo0XYp09KCJwwiR0NiZQ5urR8ffpa2BwVEN7Rg+Q2s3Q44In/9XwZuvAt8ZzA1mPN3Vt9SONBZJN3ZmlAF4WLiyns8+5nfrht1GHMUZL+4DReGbdOYNiXCj5F32kHplgOvPYQgaWmRysFHcXV3I7Gk5HyxaAqWKc3cl9hmIY7GAAIDrAnuVL2fD6+NkliYJJbiykjPqSuf25zfT2V7Wixnh8/IsAvqRGKwCy9AlASy1McFvBFBb8Wea5bCg0ED5OkRx37wUzXAWFjRnhivEutOd3Wwq/sGdfzTMrP/aARDUAEeMNTYYLSdnpfrT+1kWStat8rz29g/R/YLuoJi3iujHbJdaTCiu0YzEH8GKfN2PHLAEvq/VcNE6cAAAgAElEQVSAlxff+hzPv5v++Osbxm+SgZc3n/ojAMsJr8jPvtlDW747MA68NLWoaM3Vv6F9AGgUEsqNHMCLfd61OXFUqYCXlavvgQ7TmR68MwsJD1M1cdzJ7X/+eVLl5pq9b07hWXbvvaJipvm4z79+jHKLTMtSrroYyTZnaeUZh/JbsCpSQ4MmvGFMXRwnWtwF093YSD/JfU74HkaGh6kDBr0MxLQXFAgGvZySdJJnOGYKdxpVVd3oPIwPYMztr/u7BxhC8XE+kOlMlQ7otlmA9CkXLy8KSE4m/4QECgIYI/MXZ0Q83XUcyW1EXHSxyThBU/vy6scvfp6EaEhp03Da2vvpqVdyTRo4664nI8WLCsr6hMGxFJ0yAy8rAWKuyPalnIIuABtTARSegN14ZSKtWho+pVr4XfrPc4eotLLXaJWtuyiGLlgdJ8k7XABWxItvINHLgslAcqycmkGZ7zbjmaF/8eecGQ6PoRQH80Xsh2zldqXVHfTuVzXUpDIc6LJXVFlZp3BUjo7W+fUokJjFkyj9siQViRcwYlT1Wpeaxsfy8XKi/dueoR/6l0DL4Gvd3Wi6KGvBYTrtyt8CQDIPtBg7CQNOrOuvAlioG5+Zi5nWHYfPyElPEZD6xGOVmb0SLC2cNhSAfoeBFm20s0xIG+Li8GextDbn5vYHB2Hk6dE6fnEjkO00sawFLAtdep77iDtpvg2i3nbLvyk3GKTmF7xJB46dhN9KiFWVoO5tpriIQZL7X2HouWLmaNlrXchtsVZypF+YqcLsF38nBWn2htMPdcPUY4Khy+ariW4j1A9pTwQWhILHjHJ/+5sVOIah14vuHLtzmmjj1rop4Av3jYJ0BbIoBpjZP6YPrJ1lSd4kx4q2JT5kVlWkHXbi+SqPgbxh/s2RztEwNQ4PBaMFC2cyO8dkW3M7rWBwPQUz3bZJfczkYzGz6YIzQmj7nmaDRVX+/3ffkg7QTdzCrNhr/GJbGX3xbcMUtkt0uDu1AowZGNR+e1KM8Rxx0lOfys5ZAl7O0QNennj5IywUjdJv1189foHnX/Nbeup/76XUxOjx/9fY3E6X3fJfgtQoOS6C/v3iB0jB+pZ2bnrCqB+M2Hdw8nYO4MXampsH+0kJvPDtxkTK6IE7FhlNd9Co1XQA4EtPebnZmvHDxH7p3XeTu6fxzlX/AI0YqPznpRw42xvXC7MPwcN3Z6Mz0g7iC8GsePPzKuq0YOVdd77bLo2iJelBdp0ECga9TU3UDk8YFX66IE0SJEkAZ/QLDyRqmeXSwB4Mlg/Kxo+Fzpud/2MRE2iJTMcJS94MxHhHRJA/YsGZCeMXG0su8MQRu6rC97B9VzUoflUW+YbwtfM133pdKsVJTDnla3r61RwqKJk+7Ss5XkbV7AcxBo5I0SnrgBdO11oMqcYPh4wbzwX4uUJGtxjGplO/j+lWlGQ47h/vX0qBSmlM6YrBCtrwVr7JVAljH3pSnBco9APUaUIiaGyfM08LpWuuSnUwX8y2nJZvoAG745u9dbR1f5vRyUpeXgv1AtTtA12kawww48kTs114BZoLe6akA1Rz4eQ0MOSsLYuS5NR50pnee+kRynM9D5QyK+nkgx2UNfwdrbxCSxu2tnBb0AMjzVIklegmZmpMBnsFydz0bS4zgfx83AEkuVJStDd5A6Qy1S4yacgVdemLxYuUcBlAFpYNySgEQIvOm0Vsm2rtvTr2m9kaKBuqpCLXUjrpdFJgAre39wFw6aE+PTmmM2RwLgdDqB3MEEtLLL5HH3yjL774GOWWZ4CtZiV77EQPZcblUVzK9VQPCY5YGTNL+lbeMUpqH+OLAB7whwnuDSNVvi/trePkI8M75Em2P76fE5ohOjvUjXo6JiRN11+XTGfC68zUN7HzUAN9sK1eYOhwCmb/gPb3ANLI2PdusmRwRYoPyWCQNNc9W3jRhaVckcx6A1MnNFhGEWHekNNrmXVzmfXGINqzGFdVVKvNvsrX/iyOco63U3GZ4YJqbJQXPfTrZZKOvzs6++nRZ4+O9226i2NGZ1wUkhmrJ9LDpBjjOYCXqY//+1kCXs7WA15eevtzpFmp6C+/uXn8AlddfA9tfOEvBowX/iNLjZ59DfYZ+PcvrvoJ/c9/3qDDX79IHggtkao4gBepanIOHkdq4IVv8YKzQunytQlGG8f+jg46CPBFDa8TcyVk+XJaeNNNoiZbW76tpK92QN9rgh6aHO9N990+YS5aB8+CNz+rgC7YvOnv5Ou8GKa7Pz0rUtLG31Rd8IBsEIAVgzBdNTVCXLUGddjVjoSRig6LVqCMnYNXS6Kj0HGHeIsGS4wdh6MjWZLkilhxfx0bJjVV8IYxNTgaGTlBmz4rMmkIO937kRjvQ7dckwpXe+nkX7rzbf6ylL7Z1TitH1BokBsGdVg9U0+MFqXolHXAC1/LaYsDqBxMplaVcSbTeXgPf35ZqtFqevejPPp+38RKqv5Gpy8PpuuvTJXs/a2o6qANb+ZD6z/VW8bUM0yI8aJOVT+onSIF+TjQiqVBdMO16QZ6W3NtiOPv09dAHUDrd7+qospG49G0PBksKe0QJiQcHa0bp3gBTOBVax4vRQYxuOBCmhMLKCTY26oqZ3bH6Yt8qKB9lNp6RmnfJsR2zgHgRXczgwCdypFe0tk7gsEWwBismvNkzlxxwUzJD8wXNmiMB6ASotRKg/CfAtAShaShaKU7gBY5RSBxSDnmCzOXJ1Dm7tnxd/M10DbcTvudjtAJ+LpwFHFNTRd1wcB5shm+ojKEGvZaxpZiD5YVK0NhaD1IlZjk7tv1AuVVZNoEvGTF59HKs9aDMTIigC+NkOSIiUkOiXOmxBuQOKQnOdKvHXeAHbK8SGrq9KKilmFt3DnaliB8CxwBzd8N140bmCmJ7ifHQZ+ICDn9/nerDGSznMDWDHZeLSSC9WjXDhS00Q6EL/DCiJhrXZWqIHdnF9sWscw/eou24PGZHPKseAC3cRinRUA2xGwWZtDNdaBF/0a539jw1jE6bCakgPc5e1UILckKpOdezZ/CQrrpmkQ6bcUE+8CiyjSx8adfl9KW7Y1T/hod7kHNKg3en4k/STHGcwAvUx/ErlkCXs7SA16++f4wmCvb6I0n/yBcICcbXXjdw4LHy3RJhfklVfTw/75AW95+VIrXcfwYDuBF0uqcWwezB/DCd3j7tYm0bNFUKQT/rQtsjoNPPUVDABDMldi1ayntssvMggJMIX1yQw6VVZlG06+5NJbOOT1q/Fi9fRp6d0slHTXDbDB2jcvZdHdtDOic0iGc5uqC/z4M1stXmw9R3p48Gm2upZGWGhrpVdPokOUyIx9IBWJjfUFTlT6xaAGzXsCG8QUDRgkgJgBsGN+oqPEVGV79eOP9fMot0EoYLCnLFynpuisA6tih7g8ebaK3N5uOKefr9AB9W4n0kvoWQ9BOik5ZH3jhQdeFZ4fQl982Tok35OvgZIL7bs+EBnkqK4CNdv/5zCHqMMIq4cHtA+uzKCkBaWYSldraLnrxzTxqx0BFbInH6lVP9wA6OPHv7pKFgXTrTZmiwFix1/Fj3I4B3d1HGmnT9gYaMCG75G0KC9vwDg1SO4xldYQ7J4AGSiQZ8aQoC4lVbDw4BN+UlISAKX4vYuo2PNCN4mK9aV9lP/xXtHvMNeCFr4mZiHXwgahr4bS4k1gh1WBiYF4KyobYoUgY8sIKf2aMN/0EiSpJYF9Gwp/Fc8zc0sFmEfOmnBrb9I8O0N4TB6nbSQ22ajdADLVRtqes3Yc6vkOai0ivEWahJSQoKDBEAWlR+/h+UgIvuiegQuJZTU23ATvH1NPJutCF3MdSjoxt4znsSaN7QqjXx5dc5Z5jgC4i3ccmYzxWOJ7XSsuC4Q3TPyIAI8y0W39XBnkgjbG2sYfqUYdV9X1gtQwJrL2RMY+zfgQa5FaifkUygs/M9KUFo05G+1t7v3062ZAXfJwSwT6OA9jCJriR+GGQheWF87UICUbbkGBkhpidnuwLKVE2vftRAe092GZwuwH+bvTnh1aCTS/dmLsNCwv/fO4oWI2G7bgb2uyYCE+wXQx99qQY4zmAl6lv8e5ZAl7O0Hsh+/oHAbQ8RI/+1120LDsFnj/vwkB8QIiUZgPdBqQZnYmwEY6QvvHev0Nq9Hvy8ZbTA395hpZmJ9Md118s6efpAF4krc65dTB7AS88abzv9gxKjAswesOtxcV05IUXaHTA+Eqr/k6Zt95K0StWmK24Krj/P/PacRixGR8Ms3zjd79aSMGBE6uyPLn4ZHsVfXuwXXTnrLuQBKy63A5KpJ+PtPntpm60obGb3vugkMrh38HtBdcxdxCywWZy6WkmakZKkgqa2AFMfqfp4TjiMQI+DOGgqM7EyqrOoNcDXjDKjAzEVofTV8ewglwnLu5avz4uWhNJF10Qb5dBCEdGPv1qLtJLpl/JzkyRU17pVONbKTplfeCF7zsjSSE855z8LqOvRSKYI/ffudAoELFjdxV99BkkXEYGnYkw/rx//SJJAYzGpm566Y080DXFx9jEwvyvv2+QWoS4YXElM81fAF9kMukBQ3FXML+3YsB507fVdBAeQtMlJHNCWlFRu+Dr0j8wweySY2IQFSanpChPKoABNL9fWalKITLWksJSguwkLxrEhKJokoHiXARe+N64v+B0o3Ksqg9AxsD/HkIUtX5hNosMIIs3AFr+kXGkrocrxaHNHQZA5eftRjdfEoMI+plJirPkmTi2tW8NnIDfyT7NISpW1yKtyFBWpH9mT40H9X3z/9n7DvCqqrTrld57770CoShNAZWmCCrKiCj2ig27zjj/9PnGsbexo2LHLooiigUQ6S0JpIf03nvPv96TXLi5uTW5IaDZzxMFcso+++yzy3rXu5YPmuuNSyH2YiBg1qxA5NI5LiVtYDBjJIAXqaswVvUBR6rnseE3MOMmuiC5HU/dVUAGpsw4k80hwKRnmR+K9tH5zsIOvmTfWpEppgJe5JvLyqpGAwHgOcE2qKtuI9O0m9oxvQgL91CEvvWNY80CvuQwOGWEI5nU+ewkd/R0WRgECYbbU6wYAWF8ips3As9ks4RToyU8hILc/euyE7E2G+4zGHP+7n1FePujTIOCx6Lhc9fNExUw+5Gn93DOGbiOv4Rj5rlzo425pdHHfPZ1BjZtKR10fHiwPYrJGOtkP1Avv/7wP2QWss86eRt9D/UD25ursOoyXzz77LNDOv+3etL2UQJeztTYJ+3cfwT/ePItBgNrCaYQfHn4ZqbzO+PD9T9CGDGvP/Wg8gre+ngT3Ve/oQZjJxbNm0FB3pWwNjMwOga8/FZ7O59rpIAXaTJfUqjvv2US3LToUMjvc7ZuRfqHHxq0UxYtkdNuvx3+iYkG38SXm7L5gRTrHOQnkaly81Xc/Gt8JL/sL1FygtuNjC6pKuLrYUvR3UgEMco0UlFLWXhs204dFKZGtaptgNQbQzYxAsLY9zbDqaUUveV5ZMSQDUPnpG7Sg1XFnVanouXiPAIsF4MvhwfUN5D+XNyKHhsHWAVFosMtGM1OQWjvtdU7MQtYtHJZNGZODRmRdm5l2sBzr+8nst2ipE/YMxItOeiqZW8bN1myIEiMcWYUpFmrW8tIAC/yXpedG4wvvy8m5XWwhpHU9YqlEZgzczD9VoQan3llH7J0CO1e+YdozJpxnAFmzPszdExFZRNeXZuMQgqSGluC/GmRyj5apmYbaujchDgP3HjteJ0Ci4bO/73+Po3piR9tLkAJbZ71FRlzMjKq6GDSTHDhOCNJ+tsZk7xgwe8xh5s8GfPio90oKmca+OzB1KSZkz2xv7AFZUwt0iwnK/Ciqqcq9aiytl0R6nRgBN6V468ALVYcNHrIwBRNGBFxVwEzIQSrwoKPzxPL5gZi7rQAs4Kfv9d+fao8969VB7C9OhWVdAXSlf5iA2v0bvNHbb7hp5I5f8GCUHiSPfUVBWXr6gcD2CMFvKhq18A5XRyYGpl+p5kqpTrGL4wsjiub0WEt9sDWZApbwYqTm7BXZO/Dv8F6ZwCyS22RXdeFcK5RXFztyKjppJ5SJ/VvWlFM5yEvewt4Eqivot6LjEUTaSXt4mJvYCyja01nB1LJqOsxRLnov9L8KXSQMhwTNPyC1I5gVpUCNkmwIZQiuCEEWITNImOnjKO/FaBFvVEKCuvw3JpDBlPiXTgf3LtqEh0i3fDFhjRs/KF4QNuKHfm//jSDewnT5hl9L0jYLo88vw/NGmtqcaoMDRZtl4FOY3KttH2vYlvZTL7IIYq+d9bh7vk5ePrpp03qO7/1g38dJeDlDCPHg9Fo/zHgZTRa/QTdcySBF3mESbR+u2nlOJ2Ly5TPPkP+998Lj1vvE9vQSUdspj0o5KqvdHQw5ei1fcjO173xu/6yGEybEjhoA384m6K7G46izkTRXUe6Aa1aFoFYiryaG3yprW3Gp+szse9AlVF5yqq2EUFhO6tOOLeWw7quCCjPRYBLN/xoQWruOhrbVcuZf52dV0+76+NnWNFNwIZ0YSt/Wsf6hqPJORhtFo6KVo9qTBTF/mtXxGJ8wtBcGYyp3zsfp+KXfiFbEcUMpGidD/PMxZpb2qu0opnMEwJHXFw2tmjvqyMBvEjdw7lIS4x2xjc/kdWkpXi42eCPd0wmMj94UZKhWDcm03locOTU1cUaD991OjzMaJMu1auuaSH4cgh5hYMXLrrehaRiWFt2o7DYhFQlsnZW3ZgEV1fzLcaM6Sun4jGizbDp1yJ8R92fdi1W45rPJLoTB2ghLbouKmM1B4IKp493Rw1FzGv6RXaD/B0REapbx0lbW02MZmSXqUWbaFlNPFNrOVmBF4l/ih5NKPtrBH+qKxtx8Egt0jLr0NzWo4Cj+tIahGnm73tc2Ho8tccuWxgKXy/ziF2fin3z91BnSVP7as8e7OtNRYtaIETz2ZlgA8d0P5Tt1c8eU+aoQEcsWBiO1PQ67GFqka4y0sCL3FeA2hKm/EjaVBu1z9SLA0GWAF97TFlsg+6EGrK+egasZWTPJc9j1+SAxp98sbe6G/mVBJD4bw505lEBEjU1rYww9yDe3RLtFS0KsBkgIrNRxq276ukSmZxj3Jwk6bjzJnuhTUegy1CfVaUNuRJQiKFTZBgBliAyOsTW2dbW6phgtqHrnMq/F9Ha5187iBK6GOor8u5vuzYRE8Yx3ayxHf/31A7UEnxTLwvPDsIlF8abde36yVdp+H5b+aCqRYU5MKWUluIaGdCOTpbYvPFFpDaeOQa8mLlj7hgl4GXmGPBi5jc5djmjWmCkgRepxCWLQrHgrHCdiP7u115Dxd69BuvrFBCAaXfdZdBmOiu3Bi9T7LNJxwZZJsM/3jGF4m2DN2wFTDdZ+2U2imXiN7FcdX4IZk70M0sajCzU9lKD4YsNOdzIGr8Z1VblRCr2L1saC9vGclTSrroyJQWtFRV9dtUGAC8Tm0Dr4Sr3pUIK8mk4Sw44XgR6bR3tYekTAEv/SLS7BMI5JJhMl3hGIDzMURWt19hD+8ktuwhqSOSNFGdpe1+KYNrbd+O1d9/FfatWMRWmiYKaTImhZork3Ev0qpULv06mGbQT7JMyUsCLXPtS9q1tO8tRVqW9L8yf7Y9li2O1fmPvfZKKrTsGLzDkuiJkd9nF5rdqrqltxWtvHUJuvmEHA9VL8SFDjnqtOFpgfKgxlNHD226aaHbwaMQ62yhcuJQspHXf5iE937hNh1RR3KoychqOsaxEQNfP2xYlFEPuRZ/DigtTjsbHexFUN057QFLmLjrLD7X8fn4+0qA3PeBkAV5kA2bHegd52iGGm7xwbiAj/Z0Zte9zbpNN4e7kcjz/QZpi/24ooi4ba9Ex8HA/7kbmSiejK84LwcR4n99k1HsUuvxJdcvMzEps2JqCurgCtED/XO5c7omKHx2PgZ3aHsSNQPu8eWHUVerFdz8XE4zQn450IoAXVT076JBWXNwAAUlcnGyok0FnJQ7qMu/LXOl3fiOaPcSpRnRUKHrLnw6mLCmAJQHh7mRP5O23R267hQJkyjcmqY1iWy+s0wamPVrQBWqKmyWKC5oVrZcpU/y0umhqtp0sdeq7OpHKtCNjihXvLcyXlhbD6V4CHkhgxs3FBtHhrkrqUFiIGwI5VsgznMr6LMa01eC27sEL1FxMzdCeIq1+/B+WhGPBOVHKP/24RdKjmTKvlhYmWnZ/eWAafNUkAoZSJ/VzKqua8N8XDgySJbAnsybI3xY5hQO/U2umhNWR8Zy8/TWkNowBL8Ntf83zd44S8DJjDHgx96scu54xLbB69Wq88mEl7ByHmLPYUoX40E7MOOcOnbeTdInVNyTSC91X6zGKzfSLL6KBtsmGiltkJKbdeSfrqz/K/cXGLHy/tVhrSojcYzqjGdcsT9Q6IdZQ8PMtpvWYslFR1Xvu6d5YNj9sWPRxEa777MsMRpyrh6WwL2r4F1AAeM7ssGPPKSCIYpFKgeNK6uwodtW5ueihXXWPhl21oXdhzO9F9Dgnr5bUatPBI29GhsedxjSuyUnwol21CPTaOfXZJpqr1FDHYn9ypeJQZMdIlPy0s86yWOzsbsOjz6/BY3+9lyle7TiSJTnqXBAytUDSkKoIiAkDpqK6Dyg4tO15eCVvh6+z25CqV9FUj6aYRMybex3abF3Q4eCp9F+hY8smd+Esf3z8daHWiLpsau+l2GBk2GBNJVlkPP7CPqZ5DaYXSJ65CO3GRA3t+9f3oCLwu4bgS7YR9pGq63gyFc7dxZJuHManKvmTnXTHLRPhY8aF2ZBe4El2knzne1PLmUJZgAYjNg+q6rewf/+yq5hpC339JYnpdQ0UtSyt6iDA1ceYk41GUoKn0cLc/kzJvHh+ELZn1iO50DCwNlrAi2BIPmTYCaMliGKOgZ72tHV2gnN/5F0XW7BMRBrXHMS327U7ial3DRsRJWbbOToOFImUuWPJnGC6mIxpF51kn9KQqtPU1IZNm7KwY28xnOdWocleP/Dp0OCChs1uaNMx9AmLdebMQJx5ZghTMQpwMLXaqHqdKOBFpmUR7D9toi/FpB1x5HAZUlnH3l4LzqW9ZNp1QZaZ9vPLuYltU+YxYdPJOKUqNhZWqFzvRRckRySXHaccCMAiLmoitMvLwNOBYGg3U5CqO5iWRF0UtRQ+fY0iQE9NWwfSjJxf5FudO4ngC1l+6sWa9ZH3IfNyNAWzhfUXrgAtTspaa7RYxUZ1iBE+SN7ne2QQb9tleCyccZoPrlkxXlnTiXHEf57ajZKygfPDTLoZXn153zHmKh/TTXPzL4ODUdFku+SXirbL8TvJ2qqS37IDhVT3//gCUhrOGGO8mOtF9F9n9ygBL9PGgBczv8mxyxnVAgrjZTPR5mHkLJ4XsReh8dfqvZ8nozT33zpJp/1vQ0kJdhN8aascqGSu7aK+kyfjtJtu0htFUFKOiLjr2/TdvDKWi4RArfWWHP51G7Ox6whTY/RnQQ06Pz7MGVcTxfcyMYVDJqztOwrwzaajZLmYzrhRr8i4eA8sXxZHm2hXve9F2B3tjY2oJAAjQEzVkSPopi6MsGGGqy4nG7iso3WMUhnvWqOqbICfAyLD6TDQP9mqBHoVq+r4eHhHRcE1KGjIlN26+ibc8tCTjFwzhW3yRCRER2Htx5/xXXdx0u3B7ddeykWkM/78yAsU1PoTVtz6Nzx4222Malnj4w3fIcDPm7ThOAV0yclvIGBjgar9TyHh6/UYGuzCaBwffkdUHGa6J8CSO0ArKu/1ePqj15WuRS4eGD8lFFVtNsisskMXdQBEUFCJEvL/ohcQF0nL9JuOW6arv/hvf8jBl9/maxUYjAh1wv23nz4ssFBXJ6uvb8Nrbx/SqTOj7TwXMgACfPicOcaDLz5Mobv95iRSz4eYe23UaHnqHNRGD8yvtxbhhz2Vepkl2p7oYHKp4g7nxlS0+FB7ZBS0oY42ygJweRN4sSc4GUs7d2GFtXGcFQZYK6OBXeyIjhTYFRFzsVGW8aOVkeyEMCeF5fEF61LZaNgFSOp0IoAXWeu5MMIZ6e+ACF9Hxdo5iBa28gyqzZMpG6huPv9/X95Np6gyRdtFX3GkzsWEeE/FFla9hPrZK3NHCLUOxsqp2QIypx44UIKvvspEGTeRQYtbUO+u38HRttMOHT/6orFSe7+JiXHDRRfF8DvswOcb8lBNbSFjy0gCL8o3RPBhMu1/xxNMTIjrA/DF0jm/qB5bfsnHrn0VZIv2aaRJetCEeVawn0qLeh30V5s6J+R/4YIae3sUUMtFvQjgK9+ZfJdRLkRJCe4LO2LKZH+jmXdyfE1LO9KNAIDl3nbUZVlA5gvJMhzz7BUR3JBAZ0WjJZipQ1IXU8YJY9/bqXrc9z/l4rOvjxp0hophuukdN04+xlbaS53FN8kcVDlSyfMLwHXvbZMQpcOkYyhtpLBd/ke2S4tGShxt2P3psHdUI925x7IHRWR6yvve+e1zY8DLUBrdwDl7Rgl4mToGvIzA2xy7pMEWMAfwMid4D+66409UB9euQaGqRCIXD7dfp9sKtiorC/tffRUdDcfV73U9QOCsWZh85ZV6JzxhWrywNpUMBe2LfQ9G1/9EbQxd4r8ChHy9NR+bqIvQYYQugnpdPUk5vfHicESFDrb61fZMVZwMPl2fgeRULkhMvJf69UQY7PzzwjD37Ai93vO62rWzvR01ZMBUk31UQzCmsagIPfy3XpXQg8Ee1XeAsB2yc+uUhZZJhQu5sGAuaoL0ixVb2trC0c8PXgkJ8CALSiyr7RwcjF4ANTS1YM4ld2Ht038nQOaKl976hPbnCTh7xiTsPZSBz7/dQpbWcvzpPy9izZN/wuUEXv7z8D0EXmzw9scbOAn7MMqViCIK/qVm1GA5U4FefeAKJO7cOSzgJXnCBEx3jtLaZ8XGNy7KHXkljBY6uqHX3Qc9LhQ6JTDTy7+322/JkA0AACAASURBVDhh4bkxOHMa9XJYBLRSLQrb2jrxxAt7KHqrnW2w4uIonDMr3KRXZezB9WSQvfleCtIUxpBxxcnBkm1sz5QX42jhclV3dzvcuWoiHbt+3+BLSUUj3t+YhywK15paqsi2+2VXKcIIAAiYeITgl3zBIuKZGOuB6FBX6hUQSInpG9dqSP0X8ctSil8KayyY4EwQQQxVik48o8Hl1Iv5nPpJzEIwuowE8CJ1ImaERKanxVEfQwAXfw8H5TtR/RhdQR0HtrR04rm1B/DdrkqUGQDPvTzsKEzsMSiS68gNwGULgjBtgr9Zo7zDfbax8w23QHl5Iz777IjC9JB53G96J9pjCX7qybG1JsvDclsAqvMGX9+VDJKF1HGJjfPChk15SKaekKllJIAXW44NUyb4YOIET6ZmuFADrZVC3E2KrXNOQaMiKK0EBbj0aqaLWgEdJ2sJFgl7UxgE067rRounhBq0l94UbxTut0VBrzXZdgPXbxJU63NFssLp3lYoJkgcG+sOXzJkjQVABLypYL2yi7U78AnAIzEfV7LfnB1t4E/A5c83JiIqrE9Pxtj7mPquTvXjDxC0f/39NIMW6D504br7lsnw9nJSHlnAymde3MP01sYBTZDA93rnzZPNlqola/qPv0zHD9sHs11iIhyRR+MHdbaLpXUv7cgbERvtyfnQGjs2PjsGvIxAJ907SsDL6WPAywi8zbFLGmwBcwAvSW47sOalJ7B1eykyc/VvrhbPC8YFtAPWNXEVUesl+Z13lNQXQyX64osRd+65eifBbzbn4OsfinQKHk6b5I3rViTqXeDuOFiGD0nXb9UiUKqvjhL0veGicExO0J+7LyyXrzdSy4X6IcMpIUGOWMlniaDIrzmKTIattbWokHQkAjFVaZxQyY5R2DB6iuih5ORRw0GLjbG+82ShExXhNkB80pjnUNgwdnbwYDqSJ9ORPMmG8QgN1cuGyS2oxE33P4q3n/s7k4cssPovT0gWEaNb1krkXpgtf7v3ejz4f2S8PPlnMl7+gqf/8QBsyUJ5/YMvCQr4UjRvHPKLG+FK0bUz/epxz803Iyk5eXjAS1ISlsclIT1bO9PKm+kP4gqRX6xBW5c8ctbd2sEOZ8xPgnuwPxy8vWHr5gY7Dw/Yu7sjs7QLn5L1Is5YwpJROUpIGwu74U93U2jXvW8hZO4i7hRr3z/EjYPhnG/VvR0oWh0eZIc0E8AXJ+oK3MnUqYhw7Tb25n6uk+l68r1u3VuCz34qMdmdTZ5D0gJ3HyhDgJsVSpgaWKLSueJ3IW5oE6nnMnOSD7Iyt2Pm6eO4seqmqOxRLDnvPGpitaKB7ziMApLoasIzL6/BtZeeS5bW6dhFwE1YZJJuIN+WjP02HBwlfaCD92wiYFPPVKY2/lnFLjQH8DKx6wcsveFPiCJ7LtjLHv4E5sIICtlywzaS6QBVFJd+mSl2+7MbkEHwS9/aLpB1kzQFbTT6s6Z4Yek5oXSAGZiSdDL1ubG69LVAe3snfv45F998k0stkr5gg1tkD2xnVaKtR/+87pwRQDFdOuipkV3ExW/8eL5/arMdpe30p18dpR6FCcil2osxF/AyZ/6tCtMtPNgF1vyGKuvaUFDcxCBLRz/Qwg20HqJXDb8LAWCamjrhE2yFmCsadWreqFKOGtvscKSa85XadYXd2U72jOzVPMmOjLEjs45zWlKSr0lApVyznLptuQxkCCjryGu5EGRxZIq2E//vTF0ZdZDFm2Pg6sujqXXlMtbttbRAYXG9IqZbT3aTviKOVneRnRquFpRMS6/AS2+mUOvn+IuW9eCqa8cR3AswW3uXMSjxKLVdWjREkwXs9qaGWUHJcSaZ3D+tpBF2drZKGpmUMeDFbK9iwIX2jRLwctoY8DIyL3TsqvpbwCzAi+sOXHXzQ7iKeiJPvUoROQOpJXdcG48JibodarI2b0bW+vUGN/gy80665RYEM/VIV5HNxHOvHyAgpDtyvuqqOEw2MLhnkj3zDh2PKupMB0cuOScQC2b2pcWolyrqAnyxIQMHk6sNRgj0vUXJNZ5NkdQLl8TRBWBkFukSKZCNnTBhFDYM05Lq8/L63lH/bkkloltEEV1T07NsGFGPjXSHJyPQwynKQolsGHuCDj5kj3gTjPFlapK6XWMJo5IFxXX4y2P/wyuPPcxFlwXu/8fTeHj11RTE81cWhlbM7W5vb8Z9/3wBbzz1MK647W94/t8PchNkhxff+gwhBDaiwxNpk9iOhbODkf7qi/jvm28iicLFQ00SkPhfMoGXVdOnM/JDXZxqLXRyLhATolzJXGkmVVb7AsebuhQSST8GbkqbEEjibhNZpZ2o7nYhU0bSl9zRaeeKTurJtFs7cjPtj4vO7xPoNWc+tep9ijji2veTcSBFP+1e/f3bsV9Eh9njcJrxzBc55/ZbJiAu1m84XemUOreiugUff5+HlOzGYxbopjyAfLs1VQ1o4kYkJatpwMJUxhcvLwcyMHxwycIw/PDTJsyaNp7feDcdVXJxw8pLUFPfTrevTvgR4EhJTaFGTyGuv+oSlPPfm1q7FU0Y0U6ScUHWOrLOkh8BXaoa2pHHiHktvztJTZKS+d2jmD51B0LChvY1FebXozxvPl576cVj3/6JjFLnFdThtfcPo4xR/oOM4ooQt64SFebC1EXt0fpwsnKuXBw2lnpkSmc+gcfKd3PwYDG+/jobhWoubg7stm7n16DZSj/rzKnSHdU/ugyY//35zs8/Pwrx8d5YTyBn+27twujGPua+Ha8gJb2XjNChgdHtrdU44zQbLL/qfqbWdijrOxHK1WPOpLNqwjQpK2tEUVEj4mZZwH6anpSjeicc/dQJzc6OyKkauO4S4EUlwBrOwIcL1yGRdDfy8DDscCeMG5UIrgdFs3en1fA77VKE9Q2xWfw5vq1eEW1yGrmx7+pUPa62rgXPvnoApeX6A6YyD9xydQImqa235Rt6871kpqQNlBkIJivxj3dPJbOJyrZmKHKfDz5Lo5HCYO2ZuEj2saJWRT9IiizVq8iIyuS/TU70JvjSlxI6BryY4UVoucT+UQJepowBLyPzQn8PVy0uq8JfH3tDidjLxPa3e69hFC2Am8tyPPzIGopqNuH0SfH46z1XD2KHmAt4mbV4NW69NAq9nJBfeidNL9vBmRGF+2+dwMWm7kV18kcfoeCnnwzaTFsxvWTa3XfDKzxc56sWJP6pVw8NQrlVJ3hT+PHB2ydR00P/pF3JiM3bG7KRaYLriuoesyd5YsV5EYqOhkwAO3YW4qtvCGAMAchRf9AALtKWXRSNCePNFxUw5ptR2DD19aiiS1INf8pTUpGZWqg4Gpi68xO7SQEKnJ3NLyppyUnbilbkPuPGwTeRzCbfEOw93ABHZ0s88vwreOZvDyi2lW9//CUCfT1w6YXzsf9QNm10yzGJx//zmVcJzvwRt/3pMfx59Q1k43jigX8+h9kzpiAmIhETE71gVVeKlGeewQtbt5oFeLl1xgxGN9uRzAWhtgwvZ7pyhQU6MXWHrBgtE4csHuOj3eCtxbVLbIJT0vpo8FIshHlApoylADPu3pi1IBF+UaF9LBlPTzjwx9HH59i4oUpfMqaPaDumndpJ73yYgj0HjBOGlGso4Eu4A9LSybYyIXNNmC/jEv1+87TwbcyN/2pLMeo1BCBNeUdudl3YdagKKRkEbjSi1m6M9DoyAnzh3BAsmhOC9Ru+wpzpE9BF4OW7n3cp805xSSXOnTuL7lszcdvDTzFVrg1X/mERAT87rPtsI63ZPajv5Y6IsGDqQSTg2ZfeUYYJ6Q9LLlmG6lY7VFO/ooUbqhkU8921/iHc8/A38A8YmqBiWWkPnn/0Ajz7zDpTmsGsx6akVWANafftZPukk6FWoYfRmBDjrvV7lQqJ4O9Kuh7NmDiWemTWFzTMi1VXN2E904P37y8fAJwIk8t/cSMaXPWz++xbHdCy2RvN9X0fnD2j7ueQ4XTOORFk+VVTk8s0LRdtjzNtig8++egpfLsnjsD70EBMdNcjKfQgZpx92zBb7Pjpra0dXCvUI3JxM1q89KQcJXsjn9baZTZ2qFFjUsg6V5yQVGWcE5l0/PvkyQED0lJkAy1AiyfZbiKCGxnmilBaO4uluyoYU0Mdslc+yUB+mXG6OYEU3r7jshh4uRsGeczWYCfxhWQMf/GNA2TpGk4lvmRxOOeJPgcjVSksqsOTL+xHaz9TTPXv16yIxRnT+9KmzVFKShvw2EsHB93HydGSjE4bFJerMbmterCTznuB/tT+Ytq7qowBL+Z4E4OvcWCUgJfJY8DLyLzQ38NV//X022RsxGDJ/Jn4cfsBfL9lLx55+CZcf8+jFNv8AzeHUbj37y9g+YXnYMaUxAFNYi7gZcai1YijiOLdKxOxno5C324p1dv0YjN4z80TudjQztDo4Y5z39q1KN+92+ArdODGcPp998GZm0VdZdNPOVi/qVCn0OSc6b64nLa6hiL9La2d+GhTLnam1pmKL2AcxcQuoDPN9z8cRcrhWtpAmrCL1HgwoSKfPTsQ558bTatF8wMWBhtd7YCGhjZ8+FkqjqbmwqGpDN0lOeiuLEYnBezUHQu0XVNcEGIZqbKnoOWIFw7u2WUd8Jk2C54JcXj8vc/x13vvRiffQ0NLMz75aj2jeJ0EO7rZF5bClSr2z65Ziyf+eh9++GUXNm/dQf2ZAE7cHXToisYfFs9SJuXD772Him3b8NKOHWYDXqQtRKOoREcESYTpGskQKGOKh7YidN6JjNRos/rN5XWLyxiJ1UIL93C3RSL1BBSARdwZ5IfglQP1dBz9mb7EH2ETOfGbs+ePNX+nihIaihaq1/OddcmM5FYYrd8si2eJSqVnNh6LShnqLxJdu/n6cZiUFPCbBF8amii0ybFkN9O3xP1qKMWF7iDujhbYuE3SRKVtB3YKGWeE7eLuaksdo0icPs4LX3xF4GXGBOU7ef2DDVjz1J8pPNmOa1b/E5+/+ShTO3dSWLMMt157MZbf+P/wxL/ugYerC266999YftE89ttWuoLZ4sJFZxFczGO0uQUtlp6oIjtmRqwrzk7yxP0PzsPqBw8OD3h5bAqeeuInbsROwNiio/F/2VWIdevpGsePrZSpGRJB1bbWE3exCQZcos6c6IFlc8NGfbwfSj/7LZ0j/X779nwlrUh0SzRL4GyyvMKq+MZ1593Y9DK1aGsAaguFiEjmLlP4liyJUVJ4PlmfqWi5DGdP4EqNuQvJQPamWPQVV9+Jg/kThwe8hBB4Ocd8wIu0mawN2nqa4HhWKRp7tM9j1j10D9zgRR0pinw39qhp7fFcgrQqIJ7THSLQwRQhW+q9eBBgYUoULZ2jCLSEBfcJgetLL6ysEfAlDYUVxpkahNBW/naCLx5uv2/wRd6hBFK2UzjdUDlzmi+uvHTcoDX2R58fwQ9bSwac7slg6N8enM51oXnWtlLPtz9Kxa/7Bgd84qMdkZ1Ptkv/HCoxqAOUTGghS3HKeO8BWoljwIuhtzy03x8aJeBl4nAG2aE9qtFnWbDTGjayN/pyYweauwVeePNzxYHlymULCC5spxtIIe655VKcd8WD2Pzhk8rtvv1pNw5n5OG+VcsH3N6cwItE5m68KAKJUR54cW0y0jWEsjSfe850P6xgDrNMiNpKR2sr9lBst5ZOO4aKF9kJU2+/XaczizA0nnplv+LWoa3Id3/HtQlU5jecnqAS3d34a7lJG57y8iY0kZI5PtgRrU1D3Cmx8kGkYF56cSzi444zEQy1z0j9vpS04Tc/OMyNVp/miLSjMBTse1vg2MzJtLIAPaVHqQ3TjG4Nu2pvCqzFRHrynQ0tqm3qM+UX1qOIQIZfVAi8w4MUbRcBD3pcfGDr7QcXgguurnZobu1CQ1MXgbFuRtW6uem0U1IlxFpS3EiaqGURRKZRQowXWqiBs+fvf1cEiM0NvEhqzqE0ipJqcUgRccNxXGAeziCAR5aZthJKEVQBhjRTLDqocnroMLUHNCJMqmvEUQTb19tZb/OqUpccfX1hL2AMQU87smNsqSUjejJ28uPiojPNQyKW6z47jF92ViiOTMYU2aDERzkhK7vJJNDyuqsSMO30wal+xtzzZD0mLaeGNtH51GIxbqOgtX/42ShaCZs5jpWUt9B9rEMr28WNoMuEBC+CLt6YQnBABbx0cQO668AR/IMMSxs6fyy9/q946l93Yff+I3Q1KccNVyzBlbf9HW+9+E/FneKZVz5kOmEw4qJD8bfHXsUZUydi6mlJCAoOQ0FlE8ZxoxRNl5CW9t14+OFVuOP+jOEBL0/E4b//eRMOdtx0jmL5ipbC3/xUrKQ0NnIMPJLPKL+Wb08EjJPodKQvXTTY1w7XXRDB8Ue/+PgoPu5v9tYy75eU1FM8Nx1HjtRoHbc847tgMbUSHb2653eZdxyP+KNsP93bAhxw8cVxGDfOD8mHKzgmZpKhPDQtF1XDTxzngcsuiedcZYOnXz2Ide8+gZTCSScd8KKqr0dMM2rDCvhNdGptU+taJ+R+7IROMjgzKvpSjmSdIWnkArzIutOG/4lwt8Q0f2q0UO9t5owALFgQBRcX44GRcqZrvvxROkqqjUsnD+c67LZLo5m2NLz06FP5g9nAse3rzVzjGYghRpFtdOeNkwaNbdU1zXjk6d0E4wd+L0vPD8N586PNFjCRtd9T/BbaNHQancl2caaAcln/PCpptTnlzbSUbmfWgBOCAwa6go4BLyPTW5NHCXhJOomhjTHgZWT6mtmu2tTcistW/YMTrb2SVvT+i39Rrn3Lg0/i0zX/VP68+0A6Pt+4TWHCqBdzAi9y3dhQR9xz5TjWow3PrUlGSYX+nM9rOXHNnBqssy1E3HXH88+jpbjYYHsFz56NCZdfrhPIyc2vxfOvp2hd9MrF/ahc/xBTjpyc7A3eSw749UApRXcLDVqHChUzL78OVdTskE2mOA+dmeCCLgp8GZqw1CsiG88ZjBpccmEcJwvj6mjUgwzxoIzsSry1Lk2vKLAwFexteuDQUg7rOjokkQ3TU18DX3cKp1Kw7ETpLlTXtFI3pU4R6bNnzridExdkdJqwoFVQL1+CHdktHkH+FESMQKO1B5r409htq4j22dIKxZagiyXb35YbTB8K3P5hcbTCJsn97jvkf/aZ0oLmBl7kmoVM3coTIV0t2EQoxZSlXtn5A50AVK9TwKJJZChIFFCzFJN2m0f3CW39T1K/JnKTbcMUJJOL6MkIkMofSQO09/Lq+yGo5SDpS/yzpC7ZUfRX3v2X32SSoVditBCzfD8T4lyQQwBVF3Ckrc5XLI/B7DPDDDLaTH7eE3yCbP42bMnHZrKFDFkW66qa0O9jQuyVsTk5o45OJC2opi26JoAnr9GHkWJxM/L2ckRChOsA4KWXqUbJR7Lw0J0rFX2WG+7+F578x13Yue8I+205rr98Ma69859YS+BFxHSfe+1DRBHwXLLgTNritmB/cjo+/uJ7LOLfV150FgESG/aDLrT3PIuH//gugZfMYQEv/3siFv/577Wws7zDbK4YQ3ndsrZ744Nk7D7Yp23Ua9WLLH7T5VpSj5yYhjtebKb1fHv2dha4hrovE2ndqytoMZR6jp2juwUaqX20mUL9P/9coHPccfbtheO8KrRa6U9ZcS7xRMMuV5x1VjDmzxejAeCb749iM9MFh7MPEBeyC+hoOO+sSGWcE8Bvww/F2PHTiyc18CLrGr9zqlFpV0l9tQ6y7sgP05jvepO9kL/bBvVc91QzpdKeNvA2PK+FQRA5XoTi5ed0L0tMjnRDHVO4/ShcfcklcZhAdzBjv5PCsia8+mmm3rRA9V4SQfDlds4tLifBeuxEf7+/ks33wefZOgM/qvp4utvgnlWT4eszWJT4a/bRrzblD3jfDky5E7aLh4d5hP5lznzrw1Ts2D+Y7ZJAFm0WbcVVbJcWMp73Uczfjv1rsrIGGhgUHgNeRqaXpYwS8DJhOAPuyDTFsauOAS8j3MDDvfyjL3ygaLosv+BsbPp5D7bsOIiH7rhCSTVSAS+7DqRh/be/4D9/GlngRTbaq5ZFYnyMN3Lza/DMa6kDcnE1n1WifA+smoDQYN1pQnWFhdj1wgvoJAhjqMTQ6Shm4UKdG6y+NKgSnVH2hXMCsHRRtNET9eHsakV0t1YHg6WisplK/g1MTxmI6Ms4MzPeBQ78gzZGg+ZzenDyuuSiGEaIydQYpUFKvU679xXjXeZFq6vQG3o3suFzcbLCoqkOCLRtQPXhw4pAbzfZIiYhUIZupPF7YY6kkDnSZiC1y51pTyIcKGCMjaM9LL18YRUYhXZXphc5BSrnuzhZ454bk5gjTkFaMrL2/vvfaK+qUu44EsCLOMcI66WlZXBISTbGExM9kX20gQwd7VE6saxNoPWvZp+RxUgyWS8NjdrPCw91RjDZB2bta2rpSwooQ7aMA39yKnuQWthLIUpXtNu5K6KJ3WJF2u+8pO11J0Y7E8wcKAJrqFtctCQC586PNPrbNnS9E/37OoLZH2zMRTIFdI0kCQ2qopebNTxdLHGUEb3yqjbm5dfR7rUT9Uzz0VyDuDBdQVxMIsPclX4QTUZKUrQ7vv72ayycMwlWlj0UkP0Gz//3j6hvasat9/0f1r7wb0X3paikHKuuWYorV/0/vPT4Qwoj88a7/41LlsxVAL2QkCDERQRTTykF+w+mMeXvGqWure2HKI79Fv54/09mAV7++8Q56O24maBO/Il+XQPuJ2PQy28nI61fB0Ho7KVs8yymHqlEQlUneFBTJ572pYaYgOfN9MWSOcFmE58c1QY6SW8uTFlxK9q8mXor2sTO++ttw5Q9n0V1aHTUDoKrHs+xyQXuGcG46IIEhNN9MC29kva22SgzEKAy1DzhIU64dGkMoiO9lUMzuS55fm2qsrY42YEXqa+TVw+czipBc28bxyNqPfULx8scZ03Q1pkprXY7Q8jKs8a+KlpRkzEmc1gd0/daKN6tKjaWvVh5mhvaGsUMoA+9mT7dHxdcEEPXmj4GpqGSTeelVz7JZPqxcangMWz7W5YJ+GKetBhD9TsZfp+RVU3ntmSduonH3gcZJHfdlISYqL5+qV7EZvw/T+9iQHIga/OcWYFYbkTav7HtkF9YR7ZLMtkuA9+nE79ZF7o5llX1McwsCIjvTm9Q1nlRYc7UdxkMFDUW/YiDe7Yae+tBx8kc++d7V+LKK68c8jV+iyemGvFdjsRzjx8DXkaiWX8f17z8NkYa/3orBwpvbsBa6MDyL2x4+xEsWHE/vl9Hm1wWybvPyi3C3dR8US/mZrzItSdwU3TrpfHKBmfLr/n4YP1RvZEcf+bL3ndLEjU1dNNCS+kWc/D119HNza6hMvGmmxB82mlaJ9k20lmffOUAhYe1uw3I93/vTeMRGz14otB13/ySBrz1ZQ6K1Wj/ks4hLBdxpunRY6s8gbo4gdzwqy8e1O8jYMUEbq4vJXXYx0d/+oehdjHH72Uh+s332diox6Jb130E2LhmRTw1RHyVQ+RaLTU1KCcAUy0ivXRKEhCmVyMlaTj1lsXZkcxqihjrT8kQO+VG2nX29AxemFlTj8KaLBnrwAjMWTwVk886DU4EDIp37kT2228fq95IAC9y8TKx5yarRRs7xYfpWv4+DjicWacTTIznZtmHjAXNUlfXSoHe2kG6HnKc9LvJST4nzMq2uKwZRXS2gRXZOW7e6HHl9+fqhW66L3XYuqKDrkvd3RbKJrWrP7oZG+FEd4wWpn4Zn7Z37vwQLL0g7pRjvqTlVOP9jflDclVTvffoIFtUE1is5aZEWHjJBPRE0LC2tpV/H7golfcfRqBl8njq+AiXnyXI1wGT4jywa8f3mDdrEqPCzfh+6z4lDa+UAu9nnT0L8+dMxw9bdqG8gnbtVy/Fz9t2Yf3XPyj2605kmY1PiIavrx9efetjuDracYzupej7NYiOCFLGg7auNewCqXjovm1mAV4efXI2ndemws565ai/87r6VjrsHaK+Uh8LVNKv2oQ1RPZWs9rmUX7nS/ZlTIS7wTrHkQ6/kloevt5ORm0qhzOW/t7OTUsrx5dfUnSVAK+wKfSVoPNop+6tXzDcsdcO0ztPw/xZ8Qq4sOG7XOzYY3yqpbb7S8rpeeeE4Dym1ahYHWJtLWkVef0uS6cC8CLPFjClFZ3RZMaS0SWs4Dbq6ckPei2Uuc2uzhktP3qhwtIK+4v7WEUSmKiubhsARId7WOOC8W4oLz/OPHJiwOeCC6Ixe3a4znR09fY9QlfBtQTEjBUsjwlx5Jo3luzS3z74UsG00OfXHERFlX5ml1h0X3lpDM7UIZD707Y8fLw+e4CBgARuH1w9BaEhugOxpoxDetkuTFvOzG9RAjw2/I6SjzaiikwpEbkWtoumPp4r+9BD1ybC2wjnLFPqOHYscHiUgJdxY8DLWPcbags89H+vcCF8GhaedbqSUvTWx9/ihf/cjTv/33O4dvl5OC0pVvnzdZctwhSK8KqXkQBeZPAUy71YRnT0DXzq9Zg2yQvXLE/QOylm0+Uok2kdioWxgTLtgQfgGx2t9ajU9Cqsee+ITovP4ABH3L9qIvNRjZ9Eq7mJfZeWkkeOkrZP96OjtDNtbTFuQxgT6IAY5u5r5rm60r1m0blhOHtOhMEFuKH2MMfvZbP20fo0/KLFjs/Q9UNJyb32inEI0siZVZ0n/aSjpQUVaWmoyshANXV9OpqaFO2U4fCv8xjtKGQqhb7iyIm2kwwLQ/aYktoTHkqbZtpVC1OjtaIClm1tsGVOuSi+vvTLL2YV11VvmxT2Wa25/1zcjKMjSjU3z2WV2tP6HOxFaNdLa+pQdm4NSgXw0LKv8ONGO9qIzZ+hd2/s7xWA6SidmjQCjYrrEn963HxImeKY4sJ34OSGbnu6U4T7oKzBkoyNHgWQEZBT/q9vPl1Id56lF+rWOqZRAgAAIABJREFUljK2vifiOBHy/HF3CdaTpWeof+qqjzVXwNHBdjhaQoCly0IZk9Oza1BV064AMLV1BDs12tyVIKnYi7u5Hk9pPGuKFy44K0TpKqkF1NnhNyMAjR3p2BIlbKA2UhdXsY38v/xbGAHBjLQjmDYxlmmcbvjzI68wrWgO4mIiEOLtAEf7gTah7R3F6LZ6khvILrMCL709trDoeojaU+w/o1wKiuqpf5aCWjUdDys2Qxbt4dWBe6mmLo0mzUdw4ve9fEEwphIkMzalYpSb4aS+fR112L5hCuSuXaVGpTP6Tu1AZ1wVCNtrfS75Rtzd7LHEdRb13SKw72AJPt+QyzHb8DpGX0NNGu+Ji2g7HRhw3K1Ivu2NP4qRQNGxU09G4EX2WbJOFE2N8GBn/rhwbeCMmvAcNLnUHxNsr+CcIE6JzQyKyJjulOmHmhR7pLPpimkBLRNXbW3bIDbDRae5w4VgsqaBQRQZfMuWxSIiwtvgmuoQAzZvM6DW1GacBlkiBe9vvDjqNw2+CHPvhTf2U0dSP7NLOt/Cs4Ow7ALtTMNOTmb/fUaYkQMDqZMneOLmaycZfDfGDiD5dEx66pVDg7RdXGhB7sC0zgrq+Ug/LCZzKoMgjBRtbBeJPdxA/copiX1Bw7Fi3hZIGyXgJWEMeDHvi/w9Xa2E0ca/PE47ac4PPVxB/4URxEimHuXkl+DBf73MQacDZ82YSMvkywc1y0gAL3KTqYluuJ7CuZJr3EJ3m6dp51xgYAO8fEk4zpkVqnfQPfjBByimg0yvNp9dtaezpbCnOB25BWi3Wf6QAMLPFJXURdk/f24QLlgYZdIEUEvw5cnX9+ObbdRf0IggG+qPgdQNmRTuiMaGbnE3pg2uB/6wNA7+FFE8GUo9o7VvUEQ3nRbGppYkPsvVy8eR1mk8kCUbzkoCMDXZ2agkGNNSVqYAbr0EOIwtAoCl58hGXvfCSaLOtszn1ZbKo34fsRscF+t5rD8IU6eO4JClvb2iZeISGIh3WU8LMne8BIgZQqkmyGQzdSpWz5+PLoJOVA/sAxmJREjfSmNaiFZ7aUZi4iLdkZJeozPfOoTAl7g7aFKtZeMtQruajAdV9YVt5e524sQDq/jOshhtNOY1K3agBGTcPeyVFKUWazIEXLkJcXJHlx1TwawpyEi2jIohI1FrlWvPAoIvF5/k4EtFdTM++i4fKUYscnV1tyBvgg4WPRThZV9i5FhKMQWxj/br+9TTSrVVg20hG8XTJnoTZOxLMZKF6bJzAnDW1CBqkzTgy72iLyOAC1PyqDEk2tidbFsBXzqptyCAjIABobRdLT2ahp9+3ELmlB0CA/1x6w2XIdLPiSDIQP0g2TC2dn5MtssvSh3NyXiR63W1L4Sj7eKTghVyMKUMb36UMWAzYMsNaHVLB1JyKUKuNl7FUFdHrG+NKdPGuePS+WFkjo6+/pcx9T3ZjhHG1S+/HMVGpvPV1BgHirhFdsH2zGq09WpP2XRiampwMPVcXKfApzUAn23Iwt6DlcPKrBXxenEsOptrJWvJWVMrWblMMXpD0ruPz3knA/DCbCEFZAnw5TxE0fegAPkh2OLvTA01Ausy6LDUdFHTD3vQZX08aCVC7CVkFRcV0eq+g2P+1mDU1Fpgf20PmsnYE3ZxNUFk9eLGNMkVU9xQWzo4GCF7vHnzQnHuuSK+66B3TNiTWoEPqEHSTK03Y8q4SBfcfEm0TrdOY65xsh4j66i1HxzCLi1aKZp1nkxQ8MarkrS6Ksqxu/cW0WUoQ8OGHVh17Tgkjde+Zje1XfSyXaLJdsmTsdYC9LHELlpHyx7c3t6CbJfjLE/VPRdM88ayBZEnxfxhajucCsenjxLwEj8GvJwK3eO3V8fVq1cjccq7CKbY4lBKEYWpvlw/C2FT/9+AxYRCGbw6DqGBfdGYAiLPT7+mPydUKOv33jROaz6oqm5iM717zRpU7d9vsLqOFPScfs89cNJiM93CRe4TL+8/RvvWvJiAHw/cmoRIsnaMKUfSKvHpF+ko5kTfSXQ8mYN6s4aui6HreJDhMn+SO8GnEJxFlosx+ciGrmmO3xcW1+H19w6jVIe1sa57yFg6d1YALl4cOzSh1v4Ly4K4kcBLJUENSUmq5Y+SkqSH+dTKlLKUtGq9+kJyeXdXawp9cpGnJ6gl1NMJ8RSItetb5MqEXk2Qpb16ILX8CzJ2xuXnY3BmsHFvQWJIORMn4qazz4YVwRtxBhJQR9xQLNjvczJKUVVUgy7uejsIZna1Hl9USpRG5pCjhU1aLbzl25pIRxpnLXnoJbIRz2/QuhlwoeL/BNpSW8nK+QQVBWTKrNEKMumqgrDDxKFHBSBZcCGvYsrA2Y0sGX7Hzu7odXRDl4Mb2m1cMXVWNBb36zkp9tmjNPlrPpP0913JZfji51LU0V1rqCUuTAR028lAOd65m5jikJJerQBQ4gpSQxtVTYZRAEUpz5gWoLAnArxscdXicESGuOPbPcX4+kANQRbDNXK047nUFwr2soePmx0cSOUOpFV5BDdb2tq5o5M29JZPUcC6r0+bG3jp6XaHTe8fuREw3uXE8FMO/Yjvfj6KL78rUJh2qiKfWA91Bg4SaGvoT5+TthoX6w4Pd+PATz/asF5zQTgiCLKqNrNDr+Xv58ysrEps2JCJ7Ox6ramX2lrCgUOK27nV1KYanP4sgrEhIS50LXJBcDdd37ICse7TbIMpr4ZaXAD05XQ01JYKLYYGT792cNA8PRrAi9jQ2xFoCSObJZIpiyGBzoiK8ICDvbVeW2d5/iPt6ci2yUMv9VrUi6SJF9KdpjHbCg3feaCaNvF7mXLUy2BjDYEXdXFwWb9NpDX9FBc6iTGYpa148FtZyuDg6XS80wSw1I/flVyBDwmAC8hjTJkcx6DjRVEElAYy+ow592Q+5uvv6GBEMwlNTSrNOoeQGXz3zVO0rjXkWMVh9MU9DLAMZM2EUSvnwdVTjUoFM6adCskufPzlQ4PWgG4uVgRYrFAu7lXUKduXRevoflZTNFlLARpAd4ifHe67KpF9d7BJgTH1GDvGcAtkjNLaK24MeDH8csaOMH8LCOPl9gdfHZZ7xKP/jMKsxbdj7+HJnPyOT5ZnJnngyiXRxxaAO/YU4Z1Pc/QO3N5kfjxw60RG2XUrmnc0N2MnxXYbcnIMNohbZCSm3nEH7J0GX+/Q4XK8uS5DZ8pRCK0e76Mauz57T8mn3vhdNn7eWqzoJaiKJTcaKbRYrtEx6WuruKennZJbes9VcVw490WbR7ukHCnHO7RYrG80bQMo1MwrKDinK793qM+lSklSQJisLFRTF6ad7BOFDdNPB5FjDmdUo7Zef9RSNGfENlqfs5QE4sTVxYNUcVVpJxul+tAhxQ1JVWSjv4E0jViydIYFvCQl4YYZMwY0T68wO7gJbuMmLZMAiSUZHXbOTrAhKNMjejgEYqw7WxAT7IDMzErUMge7iyw3zSKinYlqrB3V76W9Ugkc1tVrj9pGR/ZF3U9kfxT9mYxssco2juYtzyLCzR1EBdoNUMOlLYUpY0lwK3h8JCbNToALmXF2dFsSxyVH7z59JxUYI899op69oakdn1LIc/cR0ewZ2lfiRovMIG8bpq+0D0hPkshxKkEXEWKW9UZjY7tC4VcvEk2fNcOfmkBOEAbFH+aHo4sHr9taiEP5rfrwyQHXkfQmRy5u3RxtEORpg/lJ3gjRwdyQ/tfc8Tls7H4+dg1zAy9y4a62y2g1e8YJe5eG3t57n9JOfU/VIEaeMAOyae9d0A90i8juBGrraANNtd1DxqzL5gdh1hR/s21iDD3Lqfp7SSvatCkTO3aUDWJ+6Xsm7vnhfyEBMseBDFAZJzwIOIaHu1PTiCmprQ5o+tEbm38qN6gTo+9+4na1aF4I5pwZQscV7RvAtetStDq3jDTwokobcia7J4IgS3gQhdmDXBAR4nqMzWLK+NlNK+7tHbtQa6edXVtDVmT9j47I3cYUPep+FdR0KZo59dSvUi+efA/T6LLpy+vpc8CLp4vYsmVxZCbp1lTasrcEX/xURKt74+ajGRO49j0/clgBp5Ppm9qzvwRvf5wxKHVr8BrDBnfdPAkBepjaR9Ir8AqFn9VZ4dKHrloeizNnhJrlsQXcWbsuFbv6neTUL5oY44T0o3SKZEljiqekG0lxcrSiC+TAFDR7ruPvXRlPltbJwTw3S+OchBfJHKW9TuwY8HIS9obfQZXMAbw8/3gMLrsxESXlCdh1aC4X9n3MAFthvVwThxC1HOQPPmeKz45yvS2blOCBm69M1OvWUF9ait0EX9orKw2+Jd/JkzHlhhtgTWV8zSL12bKzXKcmxOJ5wbQ/7bNn1Cz5BbX46NN05OZRi0RLOouAL7kUICtk1FlfkYV2WKgr/HydlPtYcdNy3YVhtG4dPbtQ2Qz99EsePvv66AA6qMHG5gECaFy/MgFx0SOvqSATbH1JiZKSJECMCPQezalAXl6d3qrKJCv533p1M7gYiGQURl2XRtqlloBfK/uferHjZv0Lum5Fp6aaHXhRv08+ozhKyl7/+s+aNG1hdliTYRAU5gP/YC9qebTDwtqGYBQ32ARgulub0dNCu2D+RAaQgcDUHM1Sx5STI8IyUYvAq46xYUrJ5AneXPCf2AieRHDTKf6rmaev78U6E3zp6qRIq5HRSbmWr2jZMFVLGB5ihS0/Dv7+cCBjzk6ssD09YccfezLnnPhvSopT/3hgTlAmi3b3732Th1INlwdjvjnVMWH+tmyvbpTWDI7yqusdiQWrWEirgzsSJY4hVX7WtEBcfE4gZk4KQDojzOu2laJcTZPElPqMIxh45dkh8FTTitE8v6OTLC6LR2FlfZw5MBLAS083HYB67z2pwIgX3zxA17LBG0wRTa0hKzOVGwRhxYhOk7Du7PpZd8a8g9MT3LBiYTjTKYbGZjXmHqfqMTKO79hRwLSibFQMwVEo8By67wRXM33v+EZcouhhYW4Uwe8L8rTWd6PsC3ekH9I//xtqw9goV6ykWYG/n+7N38HUMqz5YGDqhuq65gZehD0pbuehBFiEzeLP8TOE2m0B/n3rF3Mwraq7arCjdy+6bbSzVSw6LWD9SyC++64cOyuoU0V3vhpqvahSSeXZhXUTyJSmswI5JlJcX98eSxhKkn60kOnlkn6krWzeWYwN2xhgMxJ8Ofs0byzn93eq6y7lHq3F868fNMrB6PbrxiOh3zxBWxvKd/fGu4ewe3+fE6SqSMD1/90/3SRdRX3fTS7n0mdeS9HKdrFhcKG2vgvlDDyk5R3X/4vjdyYi5aoiWMDNS8MxZZyfoU907PfDbIGsUQJeYsaAl2G+ubHTh9QC5gBe/vdELO7+4xRkk+HR1hqIA6kL6FDSl6JzxgR3XE0tBVXEo43R+efeOIQcpuLoK8ZorJRTY+Pg2rXorDesOxI6dy7GX3rpoEVBIyPMTzHlSCj52orsr+67efwxm0Y5RiaPTZuzsen7fIOTkTVBlVJGmNOZkqWtCMslMtxNK6tm8Zn+OH+2fhrskF66gZPk+T78/AhtyamBY6JvbZC/I25YmYig/hSzkaifrmtKvfcfLMSX722HdUMxeoqy0N1QR8ChbQA7RdGl4MKx1QAzQhYDcVEeA/pMJ8V0K5nmpq4xJH3bPSEB75OFE033LXMzXtSft1PspY/QjUZLzrn01SSmE1XXtKKwrJVAoxWsSXcWcMaa7BhrRydm2zgjkQJxNkRuRLi4l+lRPXQK6yZjKDe9jKly2r/LQL7XCG4qzLGoNqVPNHBxlJ5Vo1ODRtu1BFTrJrBgCvji5WmP2BgPnTnpHMAUQIaraNgTjHEgM0bANvmzAswwLUzYMtbU/FEBM8ZGeUXPaPOOImz4pVzRRxlKEYZZTBAFdJnq2MZNiWapURysjjtfCdulSSONyYuW9VdRHPLWyxKUBei3jPJ+e4B9TTsRSm81Rfdl3gQ3LJ0ZYrDPNLd9x3bbMOB69929FcHtWQimTsxQShGFpkvtY/HY07PVTqc7SvtNtJYeP5RLjsg50r9fXHuIKYKDBcDle+5hukVybhPdVboguhXCWNN029BXMX+OYVctDkOUiIKP0uJ2RBpuGBetrGzEJ58cweHD1SYHFeS2noldsDitEh1kUkiRTXsAN/ii5SJW6aI5UsxIesNmDxQf7nMEG0qRdO15c4JwPsEAfaC32PI+/uJ+lFZqX8OYA3iZHH4IV133EIKZ6hRLwXURXRcQ0FxAi7b2SevIRJZ17qCUI9Wx3l1eCCuPxsufZOCbA7WorGqlw91ABp8vBb49CcbP8iW7lY41hooXUyMvuCAKU6cGawVoN/5SgE2/kh2lpqGj75pi+X7h2aGnLPhSWdWM/xF0MWR3rjBW9DgYqdpI0n+eenHfoHXzsgsisHBulKHXY9TvJRj3xvup2JNcM+j4xGhHsl1a6CbHFKOMRkX/TYqzMw0IGOhUX9+cPcUTK5iKrD5uZpDRnM7g3nBKAteKsbGxw7nEb+7c7FGam6LHgJffXF86JR7IXMDL/z12Jg6Qxt7GaADjcziSvoQDHCcvLkoeuDqWWi/ux9qjrKIRT758kMwY/WIBN62MpSNTgN4FY/6OHTjy0Ufo5gbSUIlfsQJR1M/QXIAeoJ7CWtIope7aiuRVi8uRvb0dLQob8fHn6TicVmt0KoAsoOpJ8z+YQ1vK/vQB+bewMEaL/LRrHqjqMYX5wivPD4ez09A2IIbaRPP3DQ2teOvDI0xJ0M8Y0XbdhBg3XHfF+AFOKKbefzjHi1bJ868no4YpMzKOi2ClQ1sVHJtLYFmZj+6qEgWEcbbrZeqU/r4nm3eJMNsQvFAVAXYaCgvRRB0X9WLt7AwfarO8sWvXiAMvct/S8ibk9oujaraXJ/PWYyPckHykmnnL2p8xhJuE8AgCo5Jywx9rpuHZ8hm6aa+SlVuPdkbaewmQdreQyaUwZRhJpJ7MxHFeoyLc2dTUQdCAY4sJLBZHB7435v4bEk1Wbz83pmLFc2MrYo8mFQFliOQJMGPj6gp7Ol45EJARtowANA4EaJyZyqSuI3NMTJKpDus25eFQlmGXCF11CqIOi6VVN4ormTbXL6CrfqxsBJOpd9Ta3x8ETK2qoo2mWvfwdLPGFecG09p5OjVcLPDBlnzsJ9uC+JXJRVKdVs4JRBI1HQxt9ju7WukG8ygsrQcuku+9aD/u/XI7/E2+e98JZfx5evlZePLDpAFX6O4cB1sLsh81REmHeBuznCbj1ktvpZDyrj01UqxOc8tbkUcw1Zcbwxiys0wBQIXJdClTj846vU+35/daZEO2ZUuuIp5bryOt0lDbOAV0w2kevyV0KHOMu7ukFblx42avBGQqq1uQX9gAq1wvVO7gmGrAhlrX/SJCnbF0cSQdwHz0fkNyz0+oTbOZrDRd5XDKa9h/8XzYBQ0tjaO9uBCXJe/DmmefGcD2M9RW5vj9lvbtqLNr0Hmpce1kVFuE4G9vJmPD1hKUlfXZA6uKPYXzfSnoG86NdSQ171uMdJqMpa7SxRcz5TvCa1D7b+DY+B1Z0u1GpsFeOMcf550ZfMp9e4qDEc0iMnMNz03nkxl+4aLjAVZdL2zdp6lkUsvofLzIWuvvD82Eqx5WpCl9qY/tkjxAYFrO93QnO5jr7ip++weoL9PYr6MFfscJ0W7w9jyu/xVIUfp7mGLk5GiraNLUFxejNjcXf3vkETT/+CNctbDnjaljA1PDo+66C0899ZQxh/9ujskdJeAlcgx4+d30sZPqQc0FvDz65GxGXJoV1oukQVjACrn55yI5Mx6nx7vhqgtiBiwWD6SU4vUPMgeIC2o2jC0pgffdMgHhIR562yx940bk8kexHjZQJlPvJWjChEFHrf0wFTtJf9T1HS6ZFwRfRsW/oL1gDWmrphbZgHRSOPEANzOO1D2I4GLNkYO6MSXM3wE3LI2gJetQuRTG3AUoLK5nXuzhQRZ/xpw9Y4o3rvjDOJOo8MZc19hjZJHw7JoDBCS0MzaEduzQ3YgoR2qZHM1HZ1EuOgkodLaKON9AwE32ZAK6ODNHX710U8NF2C4i7KteXGlbLhohawgCjjTjRe4rC4HktKpB9uPyO5m/4rmI6OXmOjOXgrlaOrQcI8wYbe4nRaVNKCFbwIqNYCVMGUdHhSljT00ZJ/bbWBHxJUOmR5gyZMkorktG2Lsb+x51HddMMCidqVAtGg48+q4rGiPCGtBkdug7R8SEE0xM6dD7bCLa25++5BQcDBH8ljQme4Ix5Z122JjcjmrqQIlgoQAhyv+NBTv4bmMoil5W1YbGNu16UOrW0ap6ih5CA6n5qnQ1WWSeN8WD6YET4E4g+K0fC5BPF6ShlDimsl15TjB83Y0TsW1t30GtnXW81fFvsD3NCn++/HvcfejwsICXZ2aejke2LCB4Soew/tLby/fReR9dlUKG8ngjdk5mTg1epYB5o45ghGjv1JF6dIiboCCmdAQH6gfstVX0tHh3rDgvFK7Oxgn1jtjDnuALK98AdSU20FEoJ0fcS4bGKrNxsIDPklo02jVxnrNSxHP9/JyVdY0IVecV1KO8shX2jc5o+MmH7F/T7yPz1FIGWs6ZHWYUOJhMDbZX303XuY7ydLPC7pIPsfW+h2Chw+HR0OvoZVrt6c8+hQ2PPwavEywYKy5HO7EXndbaNeYseywxu3MGGuqt8Z91afj+5yLU1bUPcKsMDHDkO7fAnGA7WDbTw8ZIMExSwCX9aMGCaAVYUy+f/XAUP++lG6DR4EsAFs0KNgkwNfReRvL38om88d5B7D4w0EBA67gy0Yss5ySDAvw1tS145KldgwKuYjt9yYXxBkF6Y55X1kZr3k3BvtTaQYeLtkt2AV0TyeotKD++hvcg03NSIgMlTKm2bayAY3cDzoq3g2tvC5rLy9FQUKAwnMVR0xxrvO6778bTTz9tzOP8bo45OkrAS8QQ54IT8WIsOFGZPoOciJqN3WPYLWBO4EXEGw9mcHOkFpmurJrCTeIs3L5iPII1cpS/3ESV9B+K9T6DP6nm992SRDRc/0L+4Pvvo3j7doN2w1ZMBZjKgc87ImLAfUXj4ulX96OscjCoIhHjItqoToh2RXOTsbuiwY8lAnnTz/DD3hzSkFtM+6RcGBW46eJwxIYPjsAMuxPwAilHKvDeJ+nMfTVtwyV6NIsY7Vi88LiIsjnqY+o1RKhy6y79ej9hQbJJ7RMctSVDwIlMGMfmMvSW5qCL6WqdZHUIuBJLZXs/n8EWro1cgDZQS0a9WNrawmfKFEU/yByTco4WcV1tbVFT20qrbN320hPpRCTitFW12sFISVsYT4BBM3Iu33Dy4QpStgezZazI/omJ8WQE0QXyHdmR3WFDYEYcmBT/Z0ZzugSQofi1OE4poIwxvtBGvuxWbjzTMukiYmTUUi5rx4inkJaaDLDr1KsgFrCJ4mJlPzKaNrI4LCxrQjFF/Syp0tnr7oMeN37Xbp7oFeclujB12LooP4oFNi0vu3mOADIqTRZxQPOgY0dhRYfCUNFVhB2Vk08b1v4pXNguou0iWgii1RATYIvTI50RxtTAhZfEYd0vpahpNn2MkxrMSXTFsjOCB1lF66pbF/tGR+8z1CgqOHZId5sNOp+owF8/PIjV1EsaDuPlOX5L/3hlBRxmDGQDdHfMgJ3VZSddBHoHXaPWrc+mVrb2uUHczXrowpGS1wh/2vCKALKpxYebjKuXhCOaVuGmsGZMvc/JcnwF2bUbN9LCeS/T+KjpNZwSsqgVDT41kHQUEc+V8UG+K0lXzs6tU8Ylu27qiWwNRINh6blBVQmlnthVlyYghI5UhphicnJdfavCHK6o1j7Gy17m3Cti8M83n0Dq6nuHBbwkPvc0Lv/vf3ErcwjdTjBbzFDKkVeXB2bgdPycXIknaZaQlUPno0aOi9T6ki9J1l2eDJpZ8y/nBNugqda0NY4fXd6WL49niq7/gG/mo0052EZgwtj0UGG+LKJj5anw3X3Ftfk3mwsMsrqjw51x+w2TjQoifvlNBjb+UDQgfV20rP5y/zT4+pgnqJiZTTv1N1MHifJ7EICU76GEoFxaXqvChnZCC1x66hHlwmBoUwV6K4sYVOukMD0t4H207zfMscYbA14Gj8J5owS8hJ/E0MYY8DKc2fokP9ecwIs8ahlzQrMK+1gvqtLcHMIB7XIsnTtpwKQji5YX3jiIlAz9Gi2nTfDE9ZcnGowA7X7tNVTs2yciLHpbXfQYpt93H1yZEqBedu0rwftfcOHb3rdAk/pVkTqcRyeZNtL0AygiNyHWDa0tpi/gEikYfPkf4pVNaxHTld5cn0MdHMMMHc0HuXpxCGZOHLgAGG4X+2HLUaz/Ns+g9bLmfWTyuvziaJwxfWgU5uHWW3X+z9vz8cnXeXrZU+6uVtwQ0kKwZvCiS9K+HNslJakMEfbV8EUtegkiKMBBf5HNciWdjLroaKRenEJC4BYWpiyUzTEpGwu8SN/MYJS8Ukd6QnS4CxkttkrKkSqPWbO9o5nqFuA/eMEjed2ScqQtMigstEnjqW+iKfIpzA5ZkIs4NIEYG0lfIihjQUDKknUVByhhynQ3MOIsbUutHIOrOi0dRGzCM6j50miCzbKwBUQXuMFAepn67Ry5WB9HVpC9mS0kW1o7kE3L73oD9VdZYfe4eaOXoAzkx9kDPQRlfAK9Uddtg6q6bjoOEZQhOCOgjOawJ9bR4mKkblnc0tKJhoYOuFL3IIrOR260Sg/lIjOJOgQHygmEmGZepjQZPyusmOWHM6gdZMyGUdXObR0pgM0bPEcF8lmgbX0LrL9qwJ93p+FO6iUNB3h5nsDLP5fNhdVDdhSfPp6K2tPD1KyuBzkeDBz/zTUeDec6X3+fg410T1F/Z5rXE0ed/Oo2uNJiWhtrzZj7X3JOAOZNDzQ4pxpzrZPxGBmvv/2WKTibaQPbScF9AAAgAElEQVSsofsxlPr6ntYJu6l1FC93gjf1j6Sfyz1KCKDmMe1Tvj0rC459+wJRnW1aqqKkY8+a7o+lS2L0Oiiq11vGf3Ft2amHkXA6nXUalsXi7Yf/jCOr7xk28HLmY48juqsTt5AJ6XQCwRd51m0dO3S6HEm7xLfHIMYmEo+TsfvexkLFWlqYfTLeybsJCnRSGIUhrtYY72xhEgtSri/v+4wzAqj/Esv0Ms5r/RvFj7/LwZZ9VQS/jetVFwn4MjvUpHHSuCub7yhxH/3gsyyD60FfLzvcfcskApGDg1SatRFtx38/uYs6PAPXvGdM9cNVK8aZBYySfvK/Nw4gNaMvNU3YY6J9Jpp+cd6tKC4oQ0FWCVBbAasGBtxamukm3Ql3rpNU79PLjYxXpnLqmsfMscYbA14G99X8UQJewsaAF/MNHGNXMr4FzA28SMT8QHrNIIvmri5PJIXfiQCfgZRCidw//eoBnfntqidZfgHpt2eG6h2gOxlt3/nSS6inyKmh4hoejmmrVw+ymX7jg2TsOlCjCOQdza9XBNsoFXGsTEvyoiWptdF0VdGauJC52rNpA6muK1Df2IZ3NuQihbmmppYF031x8dzhC7bJRPURRXS3Ml9Z1+ZcV908OEFdRaeFcQmju3nJyavBi28d1srQUNVd0k0iQh2QU8DNvp4Sw+jNHddOIFuDArppaaime1ENxdTa6xjNpHNSLcWc1cl/kkLiPWmSAjBIMcekbCzwIveT9JsUfmudWujOwvSYTE2WknLSaot1p1+Jfbkms0OeUZgl1TXagUGhbkeGGWd3LhCoIkrbD8womjIuLrTDdu5zGePmxYLMhy6yZLoF1BKmjFhk6/FSbm/vUupnCvhiSxqxvZ0FQQfjkQUHfrvjSUE2B/gibVpBEPdoacuQBD2VDsaInQe1Cpq7uOmzZZ9z80GvK1ky/IGzK3rsXdBu40imjKtiq51KXZdqMthUm3ipg7Bd/Ml6cGPaYzf7zRmTvFDPyL2lLzW4uHE0tXizPteR8RYd5GbSqbJpbe1ewz6Qeuy8zgwL9D53GNYdEfgT9ZLMAbw8Mn06Oq5iatfsgZpV3e3nwN7mIrMs+E16cCMOXtfvtKdP11w2FJQMhwWthSUtcCgliQzOFeeGwsvDdObMUO53os7JyqrCp58eQQEBEXUdo6HePyjRGoHLGuEZ4HAsnaKJLJecvPq+lL3+4pLnj9I9ovVi/J1EtPyiRRGYOMHfpM34rn3FePuTbJ3ztiu/y0WrkvAZxdS3PfiA2YAXebIp3Z24nv3uRDI3DLockRV4Zuc0CsU74OZHdyCDrAYpkgImjCRHB4JFTB0WkHoqWX4uXN9pmzcNvTlXOjYuXRqDadPokNav87FuI5kvB6v4Lgyd3fd7AV/OO0mZLxnZVXh5bYpB0whxWbvr5iQK7veZaBgqW7fn4cMvyCxWE48XwPH+OycbfQ1d95B5TVmzZFXi/Xf3wqK5FnYdTLOup+tYXSVsW/hu6PBYzLVQW7vaS+J86kldN7t+TTc7sm+SKLBvr8c5zhxrvDHgZfCbLBgl4CXUlMHaUCc38+/HGC9mbtCT6XLmBl7k2YpF/FPN8lb1vH5ExqP8rmf0efoAmnc6F0qyeW7XoxQvtPgHVo2nAxAjv3pKS1UVdvzvf4PsfrWdIjbTk2kzrZpA5ZhaAkEP/Xsb9h4UMc/BM6lQI8+e6ktXGcOrq3gKtF22LI6OB65aF1Wy+fiAQn9CVzV8tYFPcHqCO65YFE4aLdM8hlDEqvfdjw4zDcx0Ed3gQAdcf8U42iybttkaQjX1ntJEN4dnXztIe2XtjlGqkyW3V5Ts9ezlqXtgjQdvnUj6/sDojTjO1Bw9imS6Z1UlJ6OlmgwSSaehzovYDXvExBx7t+aYlE0BXuT5jtLut4ibeW0dKIzR2QBalKekV+lMz/Gmq5amc5NcVwRtU6gjo75QUrWn7M+TCEgMNdquuo70eUtuGnvFnpn/F0cgWzc3xYFJ0iokTUlcl0Q4W2HI8O8qFpIAoxnZNaTbG08bl82qM1P26mglaWwR5ktivKfRkWht120jUHS0pIlpX6ZrQ6muZ89xRyJ4zdS4Eb0CbcXCihF3tqMlnVUaKHBeTzJ1t6MrOu1d0WpN3Qk4w4YATSNZUgJazZrmiTQGB209nZm6YjrVO5Z6LtfMDYG3m+maIe0dRei1fppYT9/76260RteTKbAqcmWU0hsPUS/JHMDLozNmoN2XbfewK6wcjgOvPT1Mket+iJRz/fphxvYTcx4nVt8SANiXon9slk/E1cOGQq8WZCoNTTTXnePe1UtCkRjlbdLG35zPa65r1dG569tvM2gTXWqSELeu+4vGx9nzA+A4j+C2S9+3K3N2UUkj9dAoPK4WkHGscUPtFg8CnsY9jTghnctvZ8HZ4UalaahftZbP+fhL+1GtI2VG1korLo3ET2SgVZAetd3MwIvUZVF3BxaT2XgiwZfD7enIscnT6XLk3uWKMzANH32bg+c+P4pGNWZyKxkX3kwRE3FdSqFjYZgtmmuGPh6PY1Dj4otjEcgUTUtLK7z/TTZ+TRZ2qXHv/9J5gZg3I/ik+ubKK5rwPHXydLFoj83/HHduuToRk2l8YUyRb+bx53ZT83EgW3gCWeC33jDJpJRPAVjkeorRQVERGsvK0CQ6LPzzrh8Oobqc6df8CLsln7y/eFA4voiOXw0a6dPChPVws1PegYylCRGu8HLXb2JhjjXeGPAyuNcUjRLwEjwGvBjzCY8dY+4WGAngRSxvhfWiCaRI4HtynAdsLWfz5xJuJI4Pct8z3eWzjZJTqhuC8OHEef8qCkC66Y/QCVNh36uvooNMBUMlaskSxJ5/vjL4y8Ltq28y8dP2YqRk1uvcrIYw8pUY5abTMUVSVy5aEoG5Z0cYnFRkAvnix6PYvLvS6Elb9UxR3FjfdHEkJw/jhCxV5+UX1uFtgi5FJfoZINraTnEuunwc3Iaw2TL0Lkz9/evvJ2P3wcGWgerXiQxxQHFFG0XwdF+d+1XcelUCJuhg7yjAC1XoJV2mh/1ELKXbmDZjTRthSaNRiTqbY1I2FXgRZkOy2EtrcfwRps9pE7zRRLp1BvPedX1bIsarTS8iN6+WVPoWrRFcifxN0LBfNPX96T2+3ylImDLiumRPloxi1cwoIyMBChDTUVePXIK2VdRx6BLnpXbDC2l51y6MBtfVGQ++2DO6Ny6BTDcjxbDVn6tcXE4o5qcPVDbUbi5Olgrt29hNnQA9dUwnUmdnOTnZwJ7IE/cf6HBwh29cCCptPNHs6A6/mGB0u3qhy8quX9zXgroybGMdQ7G04aw4F1xCFp+9qQ5QfFipV2vnOoo371AeXYCk9ncqYb0tG5aYqGzmzAm89PR0oe0y2n3PHzgI9LQvZv0XnlSbH1VfED2jl99Opo6TYUbkeIrXtxINzSk2fTyX+wmMd9FZAVgw89RMPZL+9OuveQRdclHBsd4cJZpj4kVLo1EbWoQyuz7BlsamNmQfrR+UpmLX4oC2rf5oajAufBLCeXvlH+IQPgSLb9l0vv3REeygEYCukpTghrBLY/GNbd/6aiSAF7nutV0dmOZoOug61PfTTfvuXzp26nU5imuPQrRVJO74z3ZsTRu40Q+kO6VEKCoqWuHOTfdUD0s0NRo/D2jWWwCuxWQzz50bobAiP9iYje2HaowWR79yUTBmTQk8KcYfCbS88MZ+giPa2bHqz37ReWFYND/K6Honp5bhtXcOk8x6/PuQtcmqaxPJ9ArU2R1UIIv0eQVgEY09AizKT14eeiQwQ3asrMuqa1o4Vg5e4wi40kkWfgmDDQP22Bpsl0BqSUYGGxYsN8cabwx4GfzKi0cJeAkaA16GOhyPnTecFhgJ4EXqU0iLzLxSMhE01iJBHOAiOMD1dkfCqnclI459qSqKGvn7VCNPHqxGrv584+Pcserq8WSp6KdXF+/di+T33jPKZjrpxhtRZROI9V/loKx/4Vbb1IrUTO2LXhkjpid5wIERH0mtOlb4rGG0gVy5IgHBpN5rRoMGpKmoDTTy7z8zr3b9llLdGzRVkFujPf2ZZ3vj0nA6XVCU04hB5EBKOfN305n/3F/vY9ftv7DUS3UdtTrKH2dPY4rTkrgBFsvqubC6nk/VPuq/lz9r5tFq/l3f82z+OQ9fUwthkA6JPI8wAix6Gb1g9J+Lo8paLq7U2k9zjF88NxgL5vTptKjXVf4udUj/+GNUiHAz/6wwMVhc45lmxX4jgrs1BPqqmZL0+JtvIpL9znTuQN9dpbflkoV1PdMjTNE/KWOkSgRUtTF6AumIFRHiisycWlTqSB2yp0OHWEXbanxTHR0EdSi0qw3UkfrGEnz08zWc3z2c8Unruf1OQYqejIMTiihS29RJxoywZ/g99hKA6aEVdhetsLvpWiV22LJIUxVZ9LkRfKk1AXyx4QJO0o6cnYxjmEnbHS1uRCUd0Iz4LLU+pgDVrmTo1FOjoodUemNKF5+/to4gVL9zh3RXdzo1UQaUaZNtisuTi7stmijIK9FZF4osC4gqLBkLJxeK/JL54MaxhEBMjxNTluyYvuRMUMbSBt38rqz4XS0l4292kp/RC2/Nend0lqHb8kkKC/elsnXs6YLlW7uA1iC+w74oqjmBF/luOzxaYfVXf4J4x9Pnupn+aouHeM8Tt3k05h2qjqmuacULbx4ig9QwmHAh7aK7qGXw3S7jUx406zI5zg1XcFPl6nJytoe2tiumE9/nTM1KS6vRys4zpb3lWDem0J5/fhTOPDMMOd1HkWGXTQCSG7fSRhTQsVFcx9SLdTe/mx3BqKF0hKEiqRXnMi1PWC4ODsaNI5rX3HuwBG/+f/a+Az6u6sz+0zSNNCqj3mV1yZZt2cbYdNMSOjgQQg0kIRBKAgQSIMlm+2Y37GY3IYEECAFCCoYsYDqEblxwr7LVe29TVGY07X++N/OkN6M382ZGI+zsXzeZn4z05pX73rv3u+c73zmbmoKXGEG76ZZbV9CTaYk05bMOXyjghZMOdwPUrEoIzRJQ6pdI/s4lR+xy5NTIU0vY5eg0x8m07f1B+tWbHdQ1Mjvu8xh+0pocxD4O6ugwURlwmEyMl3afpl8k5yHdNhcuY9dcU01VVVn0PMC/rYhhQ7Frpd/9xuXFiCXDY45Ee37hfO+3z+2nXWB5K7VT12bTTdeEr8nCY+8Tz+ynvWADSVtRQSI9dO+6mfJ7jv9FJssEWOvjPqDF3NFB/OFSZHYVYpAlsPExWMuMkw2BjZMsrWBEBzKRpGwX1jurLU/DuSiX2i4CL0pPSHR/7z1OwEt+tMFZdJcZ0bcWS40i6q6/rY3vhs6J7fDTVCDj4hLOlfQMjdNUajU9dMcaYWEqLlYZkOgeRJkA5j1UYOL33kGNA//CbL0AnHg8CPBcJ0P8Klv4Lms3fLwdWhoWb2aSlxqsS8/UULHx+1kLgdvaaiwQhI28i2PvF7zbCWtv/G64qYmGINDIVnCBYIJ4rnyeowhw7cWryOTA+fh2JXwfCxirjLuLcB04SCUETMU6YQ2OXV2TRtVwfdFwTYOvyQETM7/znbcYynX3T9AuiKEGquQzUyGUaCXb4J0BrYastAR/8CDgBtY3DMGS14T9+4NFvJl4DlJAROx1FQLGFbi2ZdVZ3j3yeXO/+/paepiZ72MbdggSshL8E/fAxdod+Mm/47+J90QWU/IdQ7pvcTvWBdpzaMivfl88f+GZQX+p2X0hGYtrWPX6oX986nzzfC0rTUerV2QLgIoc0ONASVHfli1etyye9JmJgYc4va6OkmALPNN3ON+fb9pEhZ98Mi/gpfPMM+m+m28mLcptmEnDVoYOaJ/wv0VLw4DbKpw3lxOZZfRL+LWrg0isGjQFZsYEE+0sgNZAafFcN41eAKhtnaiXlolzWUeGhXZ1UbAeAq9hPv/N97upZYQGIdynYQtsWJ5q8VGjD7XJKK/h0iWMN26wg9wAYTxTyOrZbZSogj04rs8dpn+zGkw2Bl+Sk7z05GBtFA5pbShFkLq7RXp9iRC9ZfBwcorf1fBAFx5nTWb7TB27FvecXWz4ReUxju9hHEqnpgGg8OvFoGRmJnQrJO+D3/smlIDBkpsBucRkSsrPpTWrS6mgvJASsrIoAYyvRAiUe6na2JYHdz5bhSBqwv4yxG4/FLZ1wQbW9R/7SDVswVWCdq7yAuqxBF6E47hhHX9VMukv4H6dvUqX7TpK1J8a6e353LbvArDwKDQXxsIoj/vGNZW4TfG06d1OAH5h1rwEXEk2xsNbriihIpTHMgv0RG1TEKn+4IMW+utfO1D2G2Z9R4iL4TK+U07JA+hSBbFQA/U7BmmXah9ZMU60tptkSxr5MUo4XEgD9coaOzy+3gAWSmkJWJK+9yTSvmUXo5/+ai+NBimv5N3edFUF9UK3633NrCPbQgEvfP5JAKW+jSitmJ3tPqcWTslR3fgq+sf/2kHb+xwoOZp9PirB2M3J8aZGurvNVJfoIhPK4sMFSkJd4qlgjF1ySQVt3tJNe1DDGUqjSdwPD5W3wa1yNdi2SuPmQnXvi68cpQ+39SrqIbFg/1231IH5Gf697gS7+meP7p0xrODr5Xfthi+X09rVBUKZELNZJvDhWMcCkGUa8Y4Qb4XZ2ABDYPQGLKK5PHcYjCbp/edd8jmkGeMheaAW3I1WVIANmRCeg+Ei8BLmTYlws77jBLzkLQIvEd6pxc1j0gPMeFH//OfzWiy2rKilr52CDKgKlFzJAtaKEodJ1iTgwU48W/xHYoIKWgsoGRDIFYgWmP2i9k48LIR2pBHZK59gqPS70n/XVBqFekylyWqktVUQRpVbVE8D6LHAdpBr6rFSJ1V+BdngFiI2J2bjMaDocjoXvE0ybGdZEV0HW4+KciMyhaEXZOHcMLPVTk1Y6E7Zw6MtS/dZWWyg7HQsMgMCO752LhvpB8U20gCDa9Ery1CKAieHE6HZoe3BoqGTMvo70vMzwr3AxDTiIHoYvK0ei9uVsA2e49Aj2ZG5q4vGQWuVNjXEdFkfKLCfYzEpi6VG7BDEn5TiYkoEwKPBMYVSG9zbqaEhGsczPTk46GVy4KaaxiZgCT4kC5AYkcWtrUqnnr5x6uhGUCNzIxl4YnAtJWVu9vIAWC8WHxga+NVCuEWUyAA2x+NZYfBFZKwFHp/7TQtQhi2xNSxIiv7Uww47Hc81s7/cqEVzT42DITdFjklYjsNanMuXAhuDFcuXpQv9JMfQ6kRmvGcItuTzWAsaARiOY7EQrl6AeI4TKE+xgjLOsYQB5VFGlBcxKMXsGxZitkGLQECMfaMx22Yn85gVxs3KRGlZOTK7Ovbm5saDNxbmrM2T5HtG+TnVA4jRMyADYEYEY0Rghn86nCZyxD2Mr7JGBsr2nu0nzQ6A484S/G6Wdh9r4IXHQEfqGKl+XEKaFCnrBfbXcffh2MqL5zC6aUE2OVQ/SE/9+dgcwXq5g913ay3AtCT6MzLvh1r8Sy0iObkbLiqi0+qyTzjXI76PBw/20uuvN0E8V7ksIpxrLoW2w8aNVQJjgcf0cecEferZQW3IvLdBoDfYnJnYlUUjO5NCCtPzeHHG+hzaiAW5wRA9M4TZAK++00xbUJI8OcUMOA+SVypok0EcFIxFfodX1abRyRsKCW8X2SUxwEICL9y/aRjsvo1hIU+nC6e7572Nw+NEydF2ssQHf76r7GV0aLOd3tg1SHt77TPlP0lg/9XhuRbnbgNExlcaHHQAzkSs/zLfxgzCSy4tp2MDU3SgGSyNMMO4O79cRnU1vsTWfE8igu9v3dFFm2Bhz6WsoVpGGjsY1UVs+/yXzUdo684B0sa5STdtIs2UiRKdZjq1Es5SPT1CyXAkIEvgOfJ7cOjoEFkCXAKFuRn3thfaLoGJCz0SRsYUzHt4N5cCTMpEwjLcFosYb7HUaG5v9x8n4CU33Bc03AckhtstMl5i2Jkn2q5iArzAtvPr66Ao7+lBYN+FgNs723AZyAgysIGBC79jmUCceVEvNo+rEGuCImFC7GNxXi6dCPFSMG2XBT4NCroLAnMFLke8SJ05FgZrthqc8FkNir+P0wHJzy0n+4xQoYdsyJKPBckw8XVUl6fQ0qoMxdKnSO47azQw+CIABxG2ArCJSvKTZgILBpWa29h2GBNQmEGAeEgGJlh4VW4xHuFpxWRzvpdHYSU8MhbahpsBsQkhOA2+pGQmyHLoDRllgAbxZBnUGNy3j1ws7CppyWVllFJQMOeaYjEpB9V4YUYB9E20cANKLSmhFFhYGyDuy2DMNGi4ttFR2r29kdobesAiAK3XhjIbCMyJn+rSJOFamRkzHsReNRVB43IAUYGAkgnML+73YEK7q5BhTQIL5ERoLW1jGD/kdWnkzo/XJ0aU3jDGokKWmAEZbSIABkMC3KoSvGwtG9hGbIU9BUcigDIMyFSVJVG6hGHGNtfNXVYycQAY4Xsmnlc8sm/srMCikJHGA6yrNWryvhfpuI/xYHyJmj4TAJVGmTmDZ4itNQW2C16NDLBdNCzYEqLxGFeKMSU/Y9ZCVfE++0rBWHxaYMYAkIk3GkmHj0ffgN/tJW2Kipx77aT+03ZS4fxUrhV47mYXbrEGXoT5yG2h6StSSX8JA+TemyQA/9O3wclimeJlHc8NPtneSS+83qboxMLuLQ/csQIlgMn09qed9Oa2AYBd0Z35ycvS6OovFII5GJmGWHRHU/7W0JAVgEsj7dmDa5JxclPeg/8WzNhjh5oNG2a12BjgeM8Ccf2+DrxPwTWj9CaIVH+SGVLENw3jytVXlAsipNGyXMQz7kdMtHU37HDBpOvqnRDA1PQ0PcahVEpHAooz92esy6V38HK/EwAiLjTwwudYCDrddzC2JEfpsBXpvRtyjtBO2hOi5CiOynqX0jO/bKR6jKdtw7MvQW1tOqWnzyaSTq1MprpMHb3zTgt1daFEVeK8E+l5idsXLwFjDONrSz/GtjAZTvdcW0bLKj4/8KWxeQQORgcRK4UGXZih8l04GFVAgDtY49hM1GSZQCwyASbLcEcPvf7CDrINwrrZ5HUWcmOeKl2SDGMGZT2VcPp+cHiCmlqZXeQ/6TJxcgBi9oHEGZ7P0rH24AQCx8qlBZGdRyxivEXgZe6dHThOwEtOpIFWOA9ljLZZBF5i1JEn4m5iBbzcAvcIbk4nRN/UrQhsvVRnK+pp2YkjsBlg1SqyXsS/edzpYNcz+yUeVo0Q9kTWIFTjILMO4Iu0tEdue64LHYQ9MC9OmeXCWWGHQ36yUSUkkjuzjKahgeBtoO9j+0CdCwZ+ksF2YdFKtu1NSIhttocBk9ZuCw1i8oh0bEhDdroKkxuXFjS2jpI5AucXsf9YPJVBl0Cr4eP5DHf2WFBnL8/YEM+La3cZVLHZQq9+y5YkQRcntBoL1xmbUa4mbQx+ZK1Zg3KWufc7FpNyJOK6zOKIw3kwAJNcVERqYxa9uWecLCpYA3MOdMpKKts4aZHBNcZP0ynVeupr6aUju5oQuCMIAqjI5V/SUhumE+f5qNjS627Cc8SMKTlQgYGL2uq5gM3xelbaUL/fA0HbcN8bftNTU9RktaI/fNoo4rmrUWajAaNNYMmw61JSslC6pIHlZGlRMqWiPnx0YIw6WpExhVPYNEA6N1hZkTauM5/GmGQL4ewWbJ8cdLKuC4MpDLoQAEdveWcc2VAK0OdzU9LjOsQ+YZv7lFSwdkKcqB7vUhWsw1NjBKqxyK1bfQQAIliQTh0ldMMZDAtGvSEX42ceGdCvyShZYLDrhx9+SHfv30/eYr7IWz++8kskBNjVaGZ+wcVPJ/eQ+sdLSWOcXVS7HXUQe//aCV1aw9fwMoTf3/2kL6QAPW+Xm5WAhRKL0CfSQZSXcunRcBilSnK9nAG71ZvhelS5JC3sBWTkdyv0NxgM+fDDFoAuLTFhJXDCZ+XKTLryyhrKyppdePFxXmvZRttNDSEX31q7jpyf5pMliCQGswfPPDUXAqSllAatlfm0R59+md7/dB/KqRx09WVXQGMqk46xmxuYuLnZiYh/MunjHR/Tp5/tos0v/jf9GXP+4YBFzOcBvPA11qKu/FawCnWfU4na4el6atV0hnQ5avuDnrbtG6bDkxzHeePQdDj5LQ0Qhr/t/HxaviRVKF97//0OzAWRj+GB99mBuSSpOJmsTo2gi6fEztYBuPoOwJcqBefO+TxP4ndZjPYXT+ylAYERErzxo/TNG2to7arZRJMIsLDJAGvcjSOpyYlNKxgs/HFYkTTFGN7VNUbtnf6sJAZxTgLjKBblyfy+cvm0NTCRhHO2ghE9Psn30H+GYz07Y4pOcLFcXgFdF4XEQ2DPxCLGWwRe5j5vQ8cJeMkKN0iMxUsX4T4WgZcIO+xvafNYAy987S73FML+JiyArV7WCzKxgfWucqwX/q7HzTorFRguk6geJUdyglnS/s3O1FNlqVExKLQhS92x+wCZB8cURWjVsFx1GIvh7OEdtIWSIzPQc16U4VcJGLyZoi8ydtIRnC5FKUe4mY1wnw+e4Lr6keECABVpiRDLzOhVbrAbWN8m3CN6t8tG4F5eAltfiVZNZHuI/da8sDzaNDZH3FB6JE4sGSBGah0PncHxWiiHfmZ4Umf7aA4ipM2Asgoj2CZyLRaTciTAi9w59EBXqWfYQerUdFAaULphzCG7Pg2fTLrw/GLacEoRvfhqA+3f1Qbqr4U00+OksVvIZYE7lHWMtI5xWgoWl8CYkOjw2GxOoZTJFkSIsAa181kocThRWifq97sA0oVTZy+es1Dig/cl3IxnPMDWNCx+JpwQ+QUoozEkgSUDZgjAOU61sa2lZ3KC3BNgykDk14nypUA9GX5mGXSxRCCgG9jHVrD3UHVABgArovgn06itAG9HrQ7hehJQeiSOA0LWL52z5ME1PNIQmFbmGcDAieDwMdIAACAASURBVF0JjtPVjzmhVVDtctcDFBw1C45GcZ4M/B6ldQxmImOeAAerXwH0TIRodRb6NZo2BE0kDQDSRwC+SJvTBZ2jK9JJf6kBCyHvOOF249iO+8F6mctii+bYC/Udng+e2XSIduwN7eTGx68qTaY7v7ZcEHEdgSbW8+/Ama1Z2SEp2LlfsSGXvngqix/H7nlQ6ie+3ia4lr3yyjFqRVY7FjFyBsToL7usgtavL/abrwcGLfTSnj3UYWwjwINBT00F3y3trkIabpNninHp5TVfqqCKsvkD0XsONtLjz71K//z92+loczc98tQmuvsbtwhCou0Y23KyEgEQNFBhfgo9v/ldeur5n9HHmOt3Bcz3B+67gwrKWim3LDo2RX/rEHW1V9Hq//ql0i2jM50OugYOP7GOheQO7HA7aKvjMzLHB3+uDa2Z9NZjJhrGmHNgYNqrn4fxb/WqbD+WZhLYvT+8qowyAFYOD4/TW2810q5d/dAdjDB4CjhRByagcQzOTm08tIMSFfuF9fruua6CyuF4tVCN2VK//t0+qm8yhzwEzxOXX1BEXzynTHBytDCwghJn4YMSbNZlETX8Al9OJzubHhqcwwiLZWkymwo0t1vnxPMTSHwwiydQuo2vJ4O1XdhMoMqIxG8YyVJB5wxjHj5p5eX06BtvUO4778xLmmEReJn72A0fJ+AlMxaTygK9qIvAywJ17Imw24UAXrzBLJxFqBkB9VhErBf+rlf3pRwLhjQ63DAKtkno2tsKsDtyc5KCZhRYfKuz00z2iSnSmbtQKjCp2PVqYybZk/OxUPJOvDZMVmYwX5JRU50AIa7AcaKiJAUZKA7mw1FMUDy83wZDEMZsQhlDuLoRXKrE2jW80MrL0AnXgMS3csOplxQmwZEpZUGuQ/kE5LfgRf/hhhHF5yAtVeMV0w0RK3GmfwXEZgMdfAKPPIn6/rFjx2ZFmbFBHDJ5mdB20SEzL9dOBOCFA579bC8t0ofxPApiswiGddl5dP7Gk8mQW0Cbd07SsC1BENvl54pLLxhIhCoInVylpjNWJJNtbIymwBLjvpgEdbj9WBe1g03isPuEkiWdkIB+ZaHdEwms6+m1UDvem0hAyxl9FYVSBu4rC/rBAl2AZOgGGATNKu+7H4e/qRGosdAvi4hrULKkBZighS22IOLMbCOUgsU7AFDDgWnMNAFgBu9rJCiRr+9ZtFqr4vcbYIbv+x6ALiac2xTq9m0YOzmYZwFd8bUQsn6o2ZeKls/cSlxCcWY8FWUqLxIieZ8F1wo6hPkAOjo9LoprHcTx+bxZENx/vPEAuHoCTKw6sBRTIzmIZFteUtTjXX0CYtU6Sakgn4dT30KqvwdrLWuW9eKaPht22xsVF0ZRnk7MvjaFEsrH4BLS2Kas37J+dSbddHWNAJbwdb+7rYve+HRgjnh7uCdXA5bgDRctEaznF2Kek56H2TxJb77ZBJvoXrDzwpm8Ql+FDuyt007LowsuqPQrM3Hh/dmyrZP+ug+xyrpeMMRCixInteRR/16wsgLmGH71zzurAK5/lTEDpx57djOATz2de/opwtBwx4M/ob+/79soHZ6go40jKJHU0+nrsui0kwro/Gvvp8df+G/ajQ23Sror3T1MfQ9+iX7w0AHKzVN2bZHrxf4+Nz38H6dRyk9eo0kGlRXahbCZvlQf/7m8S0ouR3EYF7v+qKfD26eoX6+hhj7vO58PgKysLM3vOa5bYqDbLlgyc/+OHOmnV5Gk6OqCm1UAE1KpD6R/Z/BlBA/MCCSJSktTBXZ0qPeH2eD3XFtJS+CMuRDtDy8eoi07Zkvv+RisRcR5Nnb20ZKDdPZRqs52Um0egCPYN7OVs+AqFKbobf+AFc+pP1jKSYY1K7OF+Hm+jcezfYdZ78h/bTANtGUcc55dhjnKyYdUsNQriwyUJ+fGiBNUIcZLgE4Zs4gTMjMFrbJkX0l3x7Zt9M8PP0zlYGLOx7lyEXiZe/dHFmDdFM4zlrEIvITTTYvbxLoHFgp44fPkjJXL3YGAu0dwCJrzjCNYyUKZAjuuyDWPqwhaLFlYdJsU6dXs3BKoReJAKUUHAJfBIegz+CZOrXuStGMAX7DgUWrq7EKy6dKE805J1gjq6JytlWtMoeSyp8QYlxyJx7JAdLgJQn+hnFK4vICtEsdZu0YSfOWlIwOF05ZzphH3z44tFQgKsk8QEV3xvPgZOtIAEEShXIr1SZhyGmqRzSVIK1lANjl0Fp2POVJfT3aADtLGmhVplZVBg6YTAXjh8x0YQt1zO4IemfVKLuqaK8rSaQDW0t1j/AIWU1xGHjkMWWRPzBKAGL7+O2+upeqKTOHf4mcK7J/fPf4xDXcNCswYsjJLZoQ842aULLkoPyceddOg1keCdCi9hPP8+wBnxdrgeBDB2i0V7zovcKdlgjchPkCAOgIqul0CziRBVyjJEDqg5kuJw1jHIr+s/+BU68kdn0TxAGbiE/Ve1yroybjBkhFssPFvZsk4bfJjFTNlnNBH8TofeZsLL/ooglFm5/H4x/eO3RvEsZfP34isnx6lUoGNwaQK2I9ncQlSjAMhpwvPiqqBPFbo1xwehqYLl1DiZDxcwjKbeRTWs3jHnmxro5VwpIt26cHAy8EVK+ifzjuPyhl4kTwATlcfub4AzZmvgGkT5w3c3a5EUrt+AAp8tEec54MawdeHoGvwK2gz9A+GLhPgXV4C++JLUPIiOhQdbRmlP73dIZSwRtOSsCi8BrovJ9VmLUhpFi+otmxpg95GG42wLtk8Gz/HVXBBvPzyKqoI0M8YhGbMCy83UlPPKBnPHaIJXeiETOKIkca2pM8Bgli8/PqrqmhFbU5MwYYf/fR3VFpYSqesgf4Rxo0f/fSX9K0brwFQq6ZdBweE9/rub9RSFhaR53zlPvr1pv+mA3jRReAlHe/cBfRb+suPNtF3vt80L+DlV/9VRd/+p7+nX2ovgzi2cnLpapeDzvmcbKbr7Q3UrG0LWnI03g5B5se1ZIKI+jE8UkNw/+NY4OS1OWA/+LMerj09mzawy6FPl2Ua7Il3321CCVIHYqvoxXfZv2EQoEBLj42WQP8lHzp8/E4GG2dTMJ/ce10lyqFT5vkG+H/93Q9b6fV323kmYhIHQBYn6QGyqCZggT0GLZZRfKARp9e6qbaSLZYjdzbjOefAYZQeBQje5oBJXYny9VjMLawD2QIdSKlpBjugjo2D4YnbJKcryQLBeWDI1zBD3mdeoIPAfmppqaCbl1pYSEYu2Qbzku8/n6cdDktHX3uN+nftgvD+JMUixlsEXuY+0qNhjCkxfRF8O0tfBF4WolsX96nUAwsJvPCxveDLII1PNdAEBCgDm5zWi3QbjzuDhoZyQClkgdPgVAbO4q6E20g8svvchocnqaPLLFsTHu+0kGoMIqRhqA7qCsuxNs2hAtB5e1H2wxRfMbMceC3pWEwthZ30QtFsQ4nuss6DxeK1kpUbS7IQHOqZ8iojHMcigzWYZJUACaVnaSH+znod3f2s9RP83jOLxYHIht2qQzWvfolyOYzNbKbRw4cBXMwuaAUL6eXLSZ8afGEWi0l5vqVG4jsXyl56JUSFuVTu0FFYUKMUhRvbBnO5jCo9l1QAYnIqiunLN5xKRogI8/MsBiLHmkbo8WcPCot9jk1Z60gtOBZYYc88RVecnUn6OKegp8RsmakR2KObTEJfChmzSBCQGD1QvFBtajHNoR6H2j0DrbYA8IWBCRvbzwN0kSOnGGDVzIy4UIElx7FJKIezIIgP7Aq+B4LzEltiCwK/+ACU0fh0T5gd45kAYwRAQm6qmszDZhqABT03Li2axEmZ2UUOrwp/eNEg1XXh7Tjzz2VGgWyXBNZzKTBQSjj06wjvC88BTneDwH50HzSTyuItDfB4mHVj9OsvDxyR1MuW0W927Jg/8IIyo9uqq2klnmGjhOXIWjOO+CZSP3QSaQpnF1Nu+0b01zkxWRhE2EURb94MEenHnzsMNw/lxeDNX6nE4n1W4NVkmaJN77TTvsboy3fOWJVBV55brChuH+6FCc57rSP02muN1NiIklLly1LcdU5OAux9YVu7ttAPJGKWy649vfTSG20A6+2U/0UTmZNDl13E2/Q09XEeTZj956EVECC+9spqysxQnlcUT1iyAYOmP/jJ0xDPLaNT164UGAkMvNxx03WwtlbRjn39dPqaLPrSJZU0hFO6CowXBl4O+YCXXCS81sf9kVao++nhB7fRt7/XOG/g5af/eRY1T15Nj+lOVaxeVuE8von3bNXnAL44cRwuOTLFW2S72IUxu3Wzh1reU5MNrJeDI06BDVgClnJhoT/bTosx/oGNS6g4xx/waG8fpc2bj1ELbIvtQcptle4vh14D0PFq7bXBkhkaYUh0GY1zXSjF/aSi3PO+G6qg2RQtv8IbfzOYyT/37zhKb79+iBxjAMHNcEQcBYvFjHdtGux0SV0Ox4MroR0Urb6fYO/cjLFekuzgdfUKJCZTQ5gZKPWf+He+nwdQ9jwhdaHC/hl04bczkO3CjN8UsMNyl+TQmefXUWYpjAnAaknJz6fEDG9JoOi8Jx7Djvmie+dOav/gA5oC21dssYjxFoGXuXd67DgBL2mLwEu4r93idrHsgYUGXsRznQKqPmqt52HR7/SDab1IN2I6eld3LnX3hb5yViuvxGTWCcBlULB0Db5YT5hGpn5sABNO8AhPBzAnFdnfvNWrKAHIOE9eh+EKYwpirctnV1WWIrBGYoHqy10tTzptPVbqk7gU8e/MAF3sLBgcoszGiIk8FYs+aSY/FUJjVdA7iXaSjeWzGLivIYBnjQJbIfhF8WKYA4VJOBeEatkon6gKoBbLbc/3eAyCutLJlreLT0ujjNrakPc1FpNyLIAXPt9R0xR0AcAUk3m8UyGcvLw6HXomDrCJ4FYU5D2prEin4tJsIRuUDG0bA9xpUvLy6N3dJtr22SBKFjiz5H9v1q3Ooq9dVysEM2LA5wYiZkE9uADEiKVLsMSeAH3ZgQBHAGT4PVzASXAUOheNCAaZ0RNuYwE+O4BMDrRVYISZINY3YQv9nCWCzpyMd0rFKdWAlpTodRRScpGQOz8uW2Kh32QI3VZUZ4MMHg/XBheEalFGgtKlcbgtTZrh2oOfduhZ2bC4RgE+djWbnRZEhAEOJ+j9qd5GMGcqkYHVx1DPRXoNLhcEsVWHyN0Fh48Oprgzi4rZLql4TmbZZx7ONIKlooJOzq+3b48J8HL7+vWkQ6lcHbKZ8dB9EZvD2U3uDamk+2rOLOvFCaF2zwMoDwvfXjTcZ2khttu2q4c2vdoMsD30M81z7F1fq4FjGV+r93ngd/ODz7rp1U+gYxGlQ1Bhdjx97bJSKkRWfj7zndVqB8OlkT79tHu2RHIeHaaDM9jZZxejrKgCOh7+7EaLZZL+8moT7dw7JLyLeadN0GThMFi5wftQGwe0dHsBjXbOvtPMsLz8ohI6dZ0/qDOP0/b76jFo2zy/+T2URhho40UbhNjjWw/8G/3rQ/ciAWSjoWEr3XhVDbnwzvKi5YZr7qPfo9SoGcNTvauH6jy/pxRNDy0Dq+Kh730aG+DlZ2ciptJQ/dT19DvdasVLTcA5f4dcVALgeKHbGGzqt8HnyKmRj+e6OyzUv8lIQ22IlVAaegDC3nqM1atXwxkwgNVRkhVP91xaAvay/3nzXPfRRyy+20ajowArImBRitfPZ9ePsvVWWFxzy8iAsw4YGBx/yb1DWYhp7762AjFlaGBPZH4wqGgFUDDJ8ys+LHo7jv/uP9ZCR44M0BSY01KWSOB9EVjBAEiiTcLxvusRIwc6gqXgfVkBMCcWSclAtgsPaVxexGCaihOvYJG6jNnkSsogdxLiHFUyFS8rptuvX0HVJaETo07MEa2ffEKd+NgxbwQmimIR4y0CL3NHA9NxAl6MCxhzznfMW9R4mW8PnsDf/7yAF+6Crr5hTMNtCGz9MxMsiJoko5viH7wTAJVclFHAdSjIQpwXSTxXxkEjJpyaXIOtn5xjGFwDXj6eAFm3IRG6DSzmwhnnLGRPdWAEjEPI8hDE7YIJcOrAKqmDy5E+fv51rMEeG6norp21Z2DZHe6C0gARuUwsvBl8ORFFdMVr5n5mUICdXkI1Y4oGQFjo9Cg/XyuXKrtf8XGmAQQMo4ZXAAJ8jZcqxqVLKRE1v6FaLCblWAEvgvU23C9GECDKtaqyZIgzJlFbJxhFffIUe7YeXsXPsrhQZ6E51Pi7UBpyeAAsIwMHN+lkR3mGPT5deCf48+1vLqdaLPLkmviuiaAMU3k5QOQPB4hCoIia8mn8Xii98X1iAcqYzDYhExeJZoQR78o4HEX60I9MYQ6nCbXkKWxZ7NN8wY/UJAj3IkMX7j7kjpMJ0KQcGkzMapsBzHCPrCwCDgtZZsswU0YDpowWIIaa7xXQMaGsElbYKtskxlmCUCJYTlg18OnlYp+luQZowESn/6DUH17GIwR1J0BhR02+CiUI3DweCNoSl/p4+8jDP1FipEE5H7dYAS93wNXICdZVDvqjGuBpnE+jgDXInGC9qB5cT5qiWaqcy34jJcavU7qsE+bvr7zVRO992qtor8yM0HtvraXSYohuS1pzxxj98a126h2OrvRID5DjhguLUHqUHXHpEY8BW7e2o5SjjQYHmdE6/1aGxMdVV1VTeXmW30KWj3X46CC9uLlFKD3mll7loLjV0LzxBHew4afT0JRHfftmF+En1cERCQK9sWa5iFff1DJCB44CEAcz95W336b/+NG34fLYQ0/88WW6//ZvUmvHCMTvE+ikFUuoHdcVr1LTdV/5Lv0RwMswSqkdnk3kiuugqrgRSgLw8uD9W2IGvPA5Op1J9KHtFnpTV6J4wzIxft+D5EiGj4ms+IV5bNBgb6IGbYtsyRG7QjV+OkFjb6djge6hZozlvQCuq8H+zJbR+7hwVTpdcUq+LFAwNDQOZtYxOnQI2mdS1kWY586GmT1gjHYAQOPGQx+XHxVAW08OmMiFIPTd11VBGNbrkCWyWBgkYKFbCzsLYe4cx7/N7e3eOVOix8LsKU4YjgeU/sid7lKIzmZCwynaZgGIeggac4GgVE2lEeL70e9XPB9OMu4/MkRTAJs1iLFVKRnkTMuhDnsyxUOPpXcqiSY8esSNHiERyT9zsvR0741VdMW5ZUEvi8eH7t27qfndd8nGosFB6NOxiPEWgZe5t8FynICXlEXgJdpXffF78+mBzxN4mULAfwhZ+LSUQYAabPjpbaw/wmrjoktQsOthNfbu3jSUEWX6ZekZiJnAQn0SpQE84BeAYhxKz2Rm/xDBSJqCeJ9pbOZXOjiDpECASxPg+MG1oNlgPLBopmBr3MN2tfJZsixQ+ZlFEgt0P9S9be0y0WEo0wdzmgn2XR2y96tqUqkY4m0LfY7RPJtspc26LhaFQIFBFzOo9qGEg3k9uRL6P8wUUGp8PzlwmcDCX9o0yMBnQahTqa9iMSnHCnjh82fbdBYlltPDY3CANYl4vjuAQClQpE68framZYerwGvvxjvQ3o2SEaTI2FpbkwSWV0YBxaFUKbUwn75x57kCSyxUHXvg/fDTk0G51wQHkwBixMwdZ/GmoTMzE1iKoIzSjZX83QLL52Nwx7KHIdjJz844xhwO8gRR1jCBFz6cHiys1NR4MoDazu6q4ywCyCyPKBrfoxLYOhfkGAAoQ6L26Ihwv6YhiDyKwD/QvYH7EWsd3FuvngyPZTqIKxtBWU/OyhCcl1hWKx/vT2Y8rs1iEdwp3KCcA5WK4gyDf4Ud7tzuQ+Q5Ah0BX4kRb+1x8yJj1mrXzQKGEv2kWAIvAvgDoexlYNNk+V4GofzJ1UnucyC0fUMu+sq7+HY5l5CO7omZQGpMO1NmZzwFPfWng7Tn0KhiBj4N7nv33boCC03/0gWz1Uab3m4TSo+i0HcWzuq8k7Po8g1FYTMn29q8ZUUNDWNhu4iF6ksW977kkjI699zyOQDQ2NgkbX6zmXbsGZzBbw1ZmPs3wAZXFRrwSRpCqfOWFOEc2Yb2y5eX0ppV+RGDTOE+B5PQZ3sU4sl6aI+UYjH+4daP6MCRepQIQkfmS1dB2DiLGprqaWisl+6850b6h188Rx31rdTX1Uf5Rbl0zrmFdO4Nk5TmMVGh2iyAT7EGXvhaHPZc2uS8hfZoQycjeNsyjNO3I+ZICkOYN9x+ktuOx+htjp00Ej8bz0m3Y4escdzLgd3Q1wIQecAExiDGxxUrsmTn9nsuKaRlS/yBSun+du3qBmjYTH1IXDgiZI25cV+6cK874bQkNoNBK5QfMctanG9ZFJ0JOUUwObrqpHhyQ3/FCmCAQZYJfERXIWmiSHqOPM5xefBwGHpJpTCpKMibtVeP9F7wsZpbR6E95f9OcayxemX0mlBsahCHuFuPxJdZnUaHBnTkSMygaT30lgA67mmyCIlHZqMGxjrM4Lkazkw//CYSp0HAv+HWVmoB4MK6fm4JK1Lu+mMR4y0CL3N71nqcgJfkReAl0td8cftY9MDnCbzw+baiDKhn2E7pKVZkhbtmaN6se2BQYL3w9ydB9x8eSQTVNh+LpzhMeG44+IDxgZ/iO8S6E3lYMIZjC6uCJWHieDc5JybI4HMnEVajMo0ZDxnQDOBg5tDRIehjBM+ULQXCn5k+u7CIxb2S7mMQAqot7WaaRpmIGX0SLvjCi0nOxrMexdJSCItBk0IJUIj1uSvtr6lt7uQd+J0knL8NmRy4VwZvuI2Croucgr3Mt5xYdA7t2+ddgEpaSkUFJaPERqnFYlKOJfDC58taEH0ou5Nj0pcUGmBFmizYzTagdj0Yk2w5soJpqEWXNg5yDyDzJJdF45KYCmgdlS4vIyOE61IgWMf11Mn4aMEeE2uqlfoz8Hj8346pKZpgMAYshim4LtmgH8M6Muy8xGLIgpYMAn3BCjsIF5zHi2Owqg8JvuA9GQPwZ/MBNFotPHiwKo0EfMmBqLUGAb7bHT2bJAEATkVREhZ93pKJlvYx6sX9nADaYpGI6kr7CiSYOWMfi39nZEBPAGMXsxSqCqEvwPvk+nYOasEGUePeCDo/PJCyHTaXgWFcFIJR1gEI09FCei4OVwd5uttJ1TnrouHxIJAW2C7efvHAJUxVVyewqcQWS+CF9+nCcxKP56YOzEW9z+XIBXaAS9dEcT88g7QFvnce4JjLfhsl6msjeTyP67bM9PzN7/fDHlbZLroIFuH3AHxJDijBEV2P3tw6EHXpUUVhIt2M0qOs9OCltlaAPCxWumVLD8qKIkAyg/QwP9erUd54+eU1cwAlLrv4bHcPvQpGz5h5dkzX6MH2/CIWsPrQzlAJU7Br/jAH5RkeWlnLWi41lIFrW8j2wqtH6aPtA5SO8ba0iOcuA/S4IIGKeX4MjD0VwNYLAHDFI9v/EeY/NzvtYZ5LRAl3CtjEU3GdZHbXU3mciXRqk3CqCwG88H4nbDX0hPtm6tQoW77XouzxViAIugW2Izc5zULJkUMzNzYzo/8aAQC73i+k0R43TaKUdG/vNC1fnilorQS2LPT7A1di/jIEvz5O+L3xxjFYT/dBYy94PCj3zDDzpQNzTM+Q99nUYY5hxvSSTA+VGqfJ4IIWIcTr3SNgC1owfqndVFMIhzwe4MNsLYilegWNvNAtJxvCt2GUYofaC7OK9kNUN3CaKEcMlp8Xnkgwz0UsfKtF0sbIJc4oEU2GRlcaYgiPVke/+O1B6uxlMJ916VBWB83FoTEH5jJ55nNliYEe+9F6WZFiKxI5TW+9RQN790LMXrmP+NpjEeMtAi9zn6Lx4wS8JC0CL0pDw+LfF6IHGHix/fznFG04wdKOA2vW0G0bNvidnsgFYQiD/61BcK1FUG9H0P3ZMSs5QI9PNUxB7BR0b9WkkBXOhYWphukvM038tz+zZAQOSWOmeOpoK6G2LhbsnAuUJEBPIR/785YVcPrXu9OZPfIL53vZsxIdlDLZQRqmwYsDgOTv0gszYhGegcysCeU9ew5B50LIdPhKCiQbMsp/KqvmB+omBA4w0uOIg0CobXCMltYxaoHD0Ww5FYIysH0m5gSy/v3H7lGZqCmWWinXouSkMFdixY1zmKH/B3vgJOcsf4e4G1GW4ptEOWMh/ltQk+f/liyyZu4evtOEa9sLCi8HmrPn4b3/oiAoLxw5SLEE0XXhzAt/txzieevqsoV/Bz6PctDaCLRdRjAJi3W9qLEU9CaWXHyxULohIHuSeyN9KvkY//I//0O5oIZHK4XHy6bhyy+n2845h0zIwsxon8zjxWcrbraXlsvICYsWlBLFw+GmEf0+OCyf/WWQq652bn32yCiL6EG0VkYjRosAcvWKTGGBwI3vNwdVKdCKYb0YBrJSEFQxIMOsmPmAf7xo5MbUa4Edw1oybIXNH4AyNoAy/PsZpgy2t8CutgHMl0DAkoFJOxhXowiIA3EbLfqLncOU8Id4PJuigC4/F+wiFHEpDx5QBm5KAIzpfOw7Fi08BrB1DJk9rmeXa/EQyZ2WEdhOQcmUAcK5RrhlVMJKNaSeC4MxPCDzh4EaCN5q8R5wySWrnsYBhHEiUHVzORgzZQJcg8TzEsp5TPso7mgvxQl6M97mcXNWNdH7XvL7BDFdDY4hbbEGXgTWC+ypMwGeL8Vzp8I1eMugmsl9VjZpbwRbS+VFcd3OFaSL+8aCsRrm8ToH/eromE2wme7qUy7ZWbnUSN/66nJZVs9BMA1f+GsHDZkiW0SKJ8Zi+d+4rISWwr1EdFIS+hQv044dnUJZUX8/AL3wpZaCXnN+fiJdCvvm1avnloQMDY/TC680oLxoriNi4fkWMqf7O9YFHkTnAtixLZ+cZi1tvLiETltfuOAsqIP1g/TUn48Kmj08fqYgKcLsW2bPMavNCfbdly5eAjZtJh2G49k70J7RIl4qcA9RpWorSmxQnkQTlOEZFLVKGgAAIABJREFUolw1yqjivM/CQgEvvO+xyTPp0bgraITHCoV2GrIk12E+kD4XSt+J5u8N9maUHDXPKTni9/0I+niyOZ4mP84QRFjbMf5MYgVfGcQUYX1FMt18XrHiObMw9OuvN0Ag2qIIKPKQx3Mvf9QoJ7NYIHBrGiXN5DCpLZinpiCgDrc6kBTBIAMQIYk52O1oWVkqng/l/u6DpXNLEHdDab8awYSrrfGKzM6ntaNsuQtMcGnjOXMNYjCdTBwsxoHxGPs5FmCQJQnMx1QALQlIBAQmaLbs6KI/v9IivAuM2fcBSGvqnkLCVi3Mh4Esd06W/OtdtXTZeRV+5zSN+ar144+p/Z13hIRrJG0ReImkt8LfduI4AS+GWExE4V9mRFsuarxE1F1/Wxt/ANXu12CXNp92MRam52CxGKwJAbbvAeefL7/XRtsPe7MxxhQ7ran9kAyGDiqGlWl+lj8EJC6ipfuenJymfUDW+wfiaO+ec2jfweSZzLS4HR+uqjSJCrISveKDgS8YfhUPcOScs/Lp7LNKaKSxgY5sQm20OBBje7+FteQEll5/PRUAbHr3o3Z6fyusSX2Ju9lDeL95xroc2nhhmd+kHSigFlLoTNQ/8AEJvIj+39eO0u6DyIKI6y7xJMHyGYaqO09EIr1h5vzxj2QsvCrLIOImTICzsANvs2E16pnPKVYMLGeAkDAHq0iulfurs9tMv3nuCEpkuENnAS3p9XBsULEkkRo7pgQgZvYeSe4W/lmI0oy7v74Cz9XcEiO5Z0pwunj4YbIFlBkVXHABVVx2mXeRKAGlAp91thz80T/8A5VDH2ZewMvGjfTUX/4iaM2Ye3ponGnF+GlCCdQkSm88qD2O1BlIKI3rRWmczFo9D/bS5SVGCMg6UXIEB6Igmjol0BZhdkzgPWURyCEw2ORaPu5BaXGQcjYG5nxgTFp5OSUho8VgTCqAmCSI+Mo5DUQzRolaMvxdKxgPLO7LjBlmyPQ1d9GBbfUQpYV9MxzO3C4njaEUibVYgjUOlvmpC2aIlgqhWn4SrXAtEp9IDj7T4KrAwGc4jUHFUjgMZaUlzPQ3ZxP3QFtqCCw7RxAxZD4Ov9mBGjZMV89GRrMIoGsx7L6jDrB5PBJBGfzUQksmPjkZujK+fTIrBkEtZw+ZJeMwtZJr/y5Ylc4yCzzQ3/KyXbwLBzfutwbOLYHPVayBFz6WCyVVHriVVZx+OhX4xjCXC0yv+Bai759F2hJRfwaMHMe9AM2XhHO7Tpht2MXvN3A6GjUp2LvhjM9an0PXbqySXVAOjEyg9KiVjnWAERSFgCh3yKVn5NKFp4PhhnecHWHefLOR6utHIy7JkOtcPXTKzjtvCT7lc8Z3ft93guXyyputYIjM7YfMuily1QDY9wR/x9VY1ekO5FO6K4Oug2NRbowtfeWuiTXN/uvXe6gvhEX4eafn0tWXVwsg1k8xXncDyM51d9Npqt8CKPWW1+gw6KzCMKOTLKIXEnjh93l48jL6hfosmghj4X4xwJdLIMQ3HzFmpRfOhRX4dscu2ZKjwcFxaobOl+5QLg0f0OLdV9FhMJrKazIpIcHfWlo8zm3n59GaysywzvmDD1roww/bIb5rF1iHPGQyAKABSyV+ehTuf2bSTkPjkF2FYO7ADnXT0OAaAwtTDkxnAC4Z4BuD72KfGeG4V4OSJG0Iq2fWM6sHq9OlICbPAsMrkVSZkyBU6uSAv7OOzN6DSEQGJAQKAfKXlgBE8c31LNDPDBbhJydf8G895hAhURfi+bFBpuDhR/dQz4AXTJzEXL2/hZOPvIaAVbgM2+jSM7Pp3+9fPzPGcYzHOi6tKCuaQEwVDfq7CLxE+GCEufnkcQJeEsNcy4R5GTHdbBF4iWl3Lu6su99C//XcMUE7gVtivItOWbWN8nL30uoaox8jQ9pbvPDtHxinri6rIJw1JtgnQw/kyGn08SeVsqU/p6/JIC2EJwOz8kVY2Fx7dQ1VlGfMHKLt00/pGBa94dAO191/P6iQ5fTIb/dRU3twyvLdtyyjWriQzLdxadFzLx6hRkw2wVocaMhWRMpH2iZ8TBzvlpkQZ6soTQuZJVkOUcKboOSfmnJ8HD3GYev58yeRsQWNNFRbWmGgxnYslGVYTuL3EhNU9N1vroCGjTHsbu8DYHL0ySeFEguxxSHDv/ZHP6Jkn+Cn3M5GOzqo/qWXyNTQQL/dto0qDh2aF/DSBkDv9wgMDLA5FBsH2vzhMhtTJ6jkXV1kwXFNbW3kBOtAKAEJMYEIgnSs4yIDKHDmqM6ngdPTZ6VWMKnkGi/eWTSaWRPSxrpN+yGa6pSrcUfQuWp5xpyyhqDPLy/qEaDxQp6ZMVyixCAMlyjxPRBtrcO+qSE2FAHPjs4x+sum3TTUO0T9vYOktVtJO2Um9RSAYc48sjgtUBYGZpxwD+LmBV9Q9iQJapmol4aAmOvMxfIk6eH5O2lgvmgUMsPpsH0vL0xGlpsBUm+zI6jdBfvMfiyogzlpcNySjGyoFfbggY9CBgR06ypQ+gjtgIVqPJIzm83DgAzunzYJjJa+evQlA6QAsfGTGUkeLHI8NvwG/81LXxVKf6TsN/H8FgJ4EXRd8J7qsNipg9uRgc9HYL2gth/lKpo7yvGMeWn/LsdppFd/JXqQaqE6WmG/+8DCfO4vx8JyzroWeiUbTiuSvUbul9c/bqf3dg7heY6OnlJVZKCSFA9t39qL5zI6Bo30clkDrqYmjTZurKHiYoheBDSTaZJeer2Jdu0bkn1PkgudlHA6wFdPaB0jY18OnZ5ZS2edvkSR6RCr2/z7Fw7R1t0jQXeXCwepB+5YIwBNH01O0YtqLWV5BuhU1ZMYU4ZnvleOASIPpZ7StpDACx/H7dZBLPYGekSzgpxhLKBuArP4lAW2mTY5zLRVBZcjtf9zx8/1/v39NGmCA87HRTTWj/EaJUfDGh0VFPlb24t9mARw5odXlUKHMDQvXNQoGxk00bsv76TOI20An+GeaRoiMg0IIucuzCE8lwQ2xjctPj0xuYcgMUGDUngIpuMd4P+lA2yoBqM30JGJv8uJycMA6ZVsr+frYCQ9T9Z8a0PsoAIYxJpvKtxfbWY+nX/ZKsqpWCIwWZjdKvzNZ98cybvz0dYO2vRam/Beu+Kgc4aY24p4xgBmO49PwGH8WnGujh79u/VUviRDGOP7od/SAjayuQXiy/Pwql8EXiK5a+Fvawtj3Ah/b+FvqV8EXsLvrMUt//Z74A+vN9KW/bMiaJwMXltbj0zcDirM0c3JLnBGvq3dBJcW20xQxZyUYZM3s9DfV0nv/vUU6sFEGhisfeG0HIjven/P2Yfzzi6gC86vgMDv3AxHw5tvUgvqPgN1PgJ7nEun1j/wAI05EulXTx+kiSBlL9nIMj/07VUImKJf9DQ0j9AfX6yngTCdJ5B3psPIVnLpUUjWQcBF5Wfq6TbUNOdChHMhM1KBfckT49N/PkSf7Q9N/y7O19MAROLAwg3aOGly/eVldOYpRWG/JAxqHHziCRqFvou0ZZ56Ki2/6SbZhQl/p/n996n59de9pRZosZiUWePln378Y1r55S8HPX8xwONzMIOhI4jtwdnAAkDGio/TZ9Es3cHg8AQAQohnyiR6041aWgqqNbeDAGisE/KLJBbnXFY1146RmUqdPSg7kcmOz5fGLAjrAYxhdkUq9GKMS5Z4a77xU8vaIFEEcdJ+GYbw5tOvNNFfoAPBLBVu/AzpOEOJmvokt5USPZMoxZzEzylS26yknhgDoGDC9boQ5IISjkBQg21ZDBpVSkEba09x2ZFcppLjjiUsoBvASLEgiD6ADG3/CEpjQjzRKdCn8lpf+9/gVICQ6wF+GT9nQHW6rwGCXvWkQomRB8B3nA5Zbh1EffV5pDMkCeCMGroumiTYpLIuD5iGLgYRAYawo8SvYee5EiBmathvsf+GZn6W8S6xq5G0iawXfo6Wg2mlxrvrdEF0VddF7jtOo/gV3q15MalyPohMcFaUZ3D8vvbeJx30+nsdNKVgfc5neNfNNch45wY92SOYe15E6VHfiDKLRroTFrRtazNhsemkU6tQLocxfiqIJlE4PZWJuemii8ro1FPnln3wOLjvYD/YoC2ID+TZd/HJHko/H5pUWnkHN/EcCuMy6arCDVRUOBfYCec8o9lm76F+emZTg1D6Itc4Zrnra8swRmfROED2n2KBrlYN06lxT2HhPaudZMAAXIfBK5A5sNDAC5+zy5VMR2xfp2c0Jd7ywRCNeX+3AXxZucDgS7CSox4WhkfJpnYgmSY/RckRkncjELY1FHByyh+0Ei9jFbRCbrugZAaIkzoL8RwsOAtB7Fb4gE3BY9jIEJim0ORiHbRg+ml+YxP+w4JzkQPueTsV0H1229RDC5HLj9jljsEX6f1m5kk9BPUtAOCV2tKqNCTlotchnCkVysqmfR0Qt9UYyakHexYuh9NqA61amUE3Xr183uAlA0n//qs9KIW2E7R0qaFvQpgP+SlLQbLDbPWf85Iw590OoOxrV9fSKJJTLJw7fOSIwBaeb4tFjLeo8TL3LtiPE/ASvwi8zPeVWPz+31IP9PRb6T+fOzrDehHPfWXlEN1w2Q5KSPRaTvMENzI6JYAuNplA0oWga3gMwTpilnFrFr3/wXl0tBF0f0kMk4rB+dRVmbCzS6SvXFlFZaWzNqZyfbb/+eepB4G/EjKemJ1N6+67jz74bITe/rgnqIX1F87MpysvqYgqe7pjdzdtwsJwMtKgFYs8pu8lwD82EhAlAWKg37qyhKpL5y6wF+r54pKtze92hBRDNiarEXCoqX849OR5xsmZdOOVyyK6ZhPAin0oM/JIRXWRvV95772UCT2fwDbY2EjHXnmFLMieSFssJmUGXm49+2w646GHKCUMQV/x+GJJDf9ka0khEEQAyC5NZgQfLlzbEdipBitDWFaVShlpidAustGRxrGggWIVmFFsQ+0XMIJRc5CFdoMANrGykhSPKQjwAYxJZtFeLKC5PjyV2TF4H0UXpXCe+b2o93/xr100imw8l/Gx+4NVwUmLwRMu6WEGS7p6kpYXwPVoBAK/pnFSTY7hA0FEADPuaZTaACF0Q43XLcmwMXMoLc0ffGEB3criZEpN9i+LG4SWVQOcowZGZsFmuXeQNSASEYyPQedDHPcEBg4C0JKcRIx3sFH+HAMbF6yrnQc/IfW0P3vK4+axKEU4FzcYTVrcOwHl8pUvsbBvPEQVGZR5ZPNmcuzaRbkMzETR+lkUGHpct4PZomKWEXcMp0u5ZBCsMQ20f4pOPpmK8TcPyh9cbljIV2WS9t4anI538e6avpAStBd9rn0XxaXKfuXFVxvok8/6/ZiP8s+Omu67rZaWFAV3bzGh/O5/32tHqZsF/RSa/TINhlgXSp5Yx0W62FxaqKfSdC1ZLZEJ6uqgWXQ6SpYuvLASoOXcRaLFMiWwXHbuHZwp+Q28TpXaQ/lfNJE5meE4+cZMguocgC4551CqPjwh0FjcKzP69me/2YekijxgxMe47AuFdMn55cJz+DrYLrvjhsB0eRpjEJgUvsaL0GoAL5ky4rUP3PcJnXthA2VGiSEO4zAfvF1ND//3WSEv2enIo48AvrwRr3ygBLyLdwGwLmPdqAVqbvTHtum5Lkf8jO4/ABFpxJOJR3Jp6KAWwq1qmswF0zDFqz0lbaxlq8Xz8eW1qVRpQCkq5lYr5lb+MNAi6Fzxol5mEcfzcVeXBe/D+JwyHLnL5pSHNQT4wt9hAd4kLj+CA2c25pLKYnYP9JaxHmtE6W8YDkbFKB0uLvSOxYoN24iit6klELzludbHQuV5d+feXsGm3WZDKtTXBzxHfhsi3jVV82d7//WjNnrprQ4hxh+ZslN9uxc8NcCQgxnvUgILA1LnrjHSd68rJtOurdS3c6eiU1FY1+8ToecYrwzlSvMpJ18EXub2+HQ4z6HijYp8A04InKhtsdToRL0zf8PnxQP0H9+Au4GE9SJeznVfTKCTV32EzMkx6ui00MAgB3HBL9aGiXTM4l2QO6YTaPv2C2j3vuQZ1xKO7c/fkE8//fEZEPuUr+MN3PvuZ56hfgyySo3FdutuvZ0eBYjU1hU8m3b/t5YLoniRtLffb6G33u8M27FI3DdPel+/vprSM5PomVdbkB2IDOnnzMrNlxbT2mWZirovkVyP3LZHsdh9AroukyGysxz4lJYkgLERWjiyvNhA3/l6HWq1Z91RlM5PsFt88UXqA3tF2lKWLqXV3/mOX7bGjsVcA+iq3RBmk7MdjBXwcguy9HnQoVjz1a+GFxgFuUixRImvkcGltkNN9NfNu8ne10ke8xiAAbAofCIOSdAmqcP95kCsBSBn36B8yReLt65CTXigWN7Q8CSEkeWFdrmOfBWcI4JlE5XukeLffXox7ISQxi5KPlaMEYt7HVgxgfXjXB61GXX4PPawiLPY2K6e2WUmGW2IwHPgoG/pkgRq7wXAwswjs1MAZNhxgpOmUJYCQ2aCkvFJgICiegLiieMoJbABEAAvOhmCxawGk5GqofKCJL/+5PvWiTGvC4ALg8rs2Bas8YIxHSyacViHiy4xOv4dQBct9rNqVU5Q7QLFfo1iA37Wpuv3kmqkDf0uUWBiK20PCybqyI2afjWsnQVAJEiLxbvUUFVFl+P+M7DDxxIWGfyTJxPovXDGNgPsqUT81GimSRVvI+0pZZRQBgtulB9oE5MoMel60huMAtAnuD5xKRwAIn6u+Fql2eawFjFR9Gk0X2HQ48k/HESJIYOoofeQla6n795aC9er4MsJvtaPd/XQa1sA6MokAfjvw2DVMZPAZpMHVzKS1LS23EDTYJYpOQ7yHFRamkxXXFFNVVVZc8ZBfkcOA0h+EUkJzoSHarmnj9NUAXTRgnDGUrlsA7bBG7SnUE4YoEE09yPYd5578TB9umu2VChwu+ryFLrnm3XCPDQI8Pz3zh5arn4GY4x/WVIaQIZl4jMesJM7Nh6ims0fzYs91nLTF+iRZ2sUL905vYJeddxIW+BAo9TSwRi8G3N7NgvXL1AL5nLUBrefHgjBqpwQdv+kiEZ7XRB9x7OJd0ANhp7WbSctHIXiJ9hVCNpqI32kgiZLbZ4eJYiRnyyzNjo6TGTyMbRD7QEcQbIgHrKHsKhmuCQBc0gSyo8K4OBZDgesLtZyY3FbhbVkZno8VQcRExbGSjZAYCF8nkdZ9BYgC5cJsR6LyDAVxz0uY374kc+ovdNfpLYKz+29d5w0b7bL+Lid/u0Xu2kUc/IU5s2DbQCw0C9CaS3GaEsA2+WUGj19MWeAUrrhThmmUxHvTGDW+hIALnb084FprAvDwBqXefPfnz92jCqhE7YIvET+DoT6huM4AS/aReAltjdycW8nfg/0QK/lP39fP4f1kgZ2w7XnZMA29XnS6XfjQkLPJPzOmiFONyHRsNi792za/hmLI8LdBqKyBoOONl5QTBeeWxoW84QH2h2PPUZmsBuUWj4WyslnXUaP4VqCMVMKchPpe7fXobxJOcPDk9mLm4/Sls9QF6wgjhZ4btmgZN964zIqLvJSpYfAFnr21Saf6K7Slfj//Yvrs+nyswsFgcSFaOyK88hTB6h/KHTgXFtloKOtocG3VFg/3o8MS052ZFPiJJxvdv7TP/lP0phgl952G+WtXi1ctrCoaG4WxJfHAWAEa7FYLIp20pz9XwfGTQaAhFi2FyHOvH3vMAJLG+knB70uCiNgaw33gh2hoyzQlzkjeOAI7JmDOOfws8yiuYELzfqGIbDT5PUTIsqwxeCCOUhSYaGchGCRA8hU1oxBEDniSKDNH3dTG9xf5KyhnagVYvBldCy4DsSSvHhKQLaxqQs6JVjgapBtTDLEIaiWL9ESBBZ9oExCnJ2S3RbK0k3ShathGWuErSnYF3bYHXOAN22bpuYeMywy7aBQw6UJVvHBGgffXMrF4Msos2IwTCbC8SsNpQluBKe5uE8VFenzAu8ivRVOZIPdzbsJlfd+X/V4UD5KGJM4qAerS63AZInJuwRw50qwoCaRlQ44GXJbrRQHIFWDErYMOGjEObmUC3oMqRAKXgm2Hy+uGLF3Qxxdk+cNykVxYf6JD7+jOlyH4PiE/ej4w/8GKMPgDJfCCW5+vk88/s76RdwCAZuFAG0YAHn8ufBspitg+frtry8HSBd6furstdCf326nVokWFy8q2wHWjqIMWCmOZSbW+sokSsH7IKc5xX2Timf6wgtL6eyzy2TnarakfvOvLfTxtv6gLFPxfqdV20m9aghuinPfIz6X0iXJlJuTRHXTtVSmL4n0cZ/X9rv290KPpyloiRE7o33vjjo4P6YIc9Cr4y2UEP8c3nd/0AWEHloJkNMgA2R2vlFJ//iDJ+kslO1FWzzFBeE7ITL/81euRDx2WPGa7VMX0POe82i/RjluKAL4chfGr5QFijH4ZI/Zm6hRC20P1WwcOTnhoKNwT/S4VGRoB2tiJ171cTOlpNhgNQ37ZjMcosBY5AW4tKUC7FiOZyZagXIW9+3uZuejua550uPwUS14f0OBL7w9MzBZfDcrTQdM36EoXm2ADthyOBhx4kQAG3zOkylgsrCmmgFaLAy0sH2zOE6FGpv2Huijp/901I/Nw6zOb9xYQ2tXFyg+K0obvPleM736127ogQFo7Rwns2C8QIJrICfrRFDZgETDSYZuKhzaT1VpjjkyAsK1Sj7MQhUSU/jJ2mOslWfHx2YGK45BF3y4NIl/8hifBPaxISuLntqxY946fouMl7l33YH54Hg0bYTrq8/zHBcZL59nb/9/dqw/gCa8RaLtwYu+TlAzK7OQEQZRY+3aY1RcCqtEBUE8QuAxYpqecWXh2NhkWkttrefDpWR2wv3O15fCOs9rMazU2AVlJ8CXKSwmlFr5JZdQk66G3v6oN6gTxMXnFtJlX5QPJsX9s3vJH//3CO3ej0VAhCy46ooU+sZ1tXMo2ePQoXjutQY62Ixse4T7XI0SlK9eUjIvjRq5vuNA8le/20eHG7wlZcEaOxj1DNmgVxD8xDnevOOrNbSiJkfpNs35ewssBTsgjittBizST3rwQYHtwxmPRmzTBqaLHMtF+r2YLBaxKGXGC7fstWtp7S23RB3kyXXGmGmK/hPU9hGf8wlnlpmhoYlzUbbGSpeuSyTnyCAd2X6YGg9AHBC2pSwIKG386qyEIG9Ksr9uEWenDh0dkQULVQgQV4P1IqerFPFNi+IL/Lz1Qf+hx4pSk3TYz6ZD1yIti6b1aWTHB6XxAhDDBCAGPhubR2k4QC+C1+EryhNpYNQxh0XG4EcKWENjYTjK5GeiNj8HC3M4+9x123IqK8sQqOpN9W309pYmMg+P0fTYKJl6AIyNj0KQFiUeODlB4Ncn9MtdYMAiIBkZTwtExicB0BgRfBowDrJzM59rHWw8k5KUgd4oulP2K5xhdO7bCRBjSIbtwloEYIlAV0WDwF6pxepduhli1cMHDgjuIX6NA2sAXhy5c0CdjIWfBw5HpJoizzJYnGd4xxuPG0AM1UX2DsqANAzcCDcFTRAfZhCGARn+tw+sYUYNW3YLgA2AG/5vAcjh3+O/GbRhcUqeu8T5K/BnYL+Ojk3Rr589CFez0KLl/L2T6zLoa9csVWQ52jFHv/5xB72zY0Aoo+iBvlOkCYIqMAcqs/jZnV3YspbJ+vX5dPHFFWDfzC0x43f48NEB+l+wOPsGlK/HkOOm5HMGaALshcDG2fKKUqPwfiyxF9JKbW1k91jpAVb4O5d0/uw30K0IwUa96ctldPq6YmFPbZMt1Kp6Fg/PXB20QvTLEoC//jGNijpfLSPzG0fof8DcnS/wsmXVKnrkxWdIX/IqgMjZEie5y/R4UAJiu5mepKXUBvaIUlsOJsNtKPXh+XYhGi+wt9t20ah7mFxdo+QesJBjYJT6jnTRREsfxlSA7IMamhyCDhCMCCZxHqEEpUvgBFiIsvVwYki562Fwv6vLRINgNQa6AEm351mXwRdmeCg1J+asDACWyaDjyGnHMlMvAc/6yjVFELstoSRmsojOQhiPRVZoJNfE/fqL3+xCia5/SWk+3El/8N11AHeUgbdQ12UyT9F/QNvFjFLg1qEp6hr0juGikLwFIIweiYYydR/ljxygNMco9AkTqaggWZAJ4NiNgRP+sO4dfzih6mTXPXaH9LFagrlEMvOHGT8i04ePHYt5aRF4mXvXHbiPx6NpoxSO/zzOdRF4+Tx6+TgdIxZ20pfBbvfcc8+N6goEh6Pfw+EIL8AYgsRWZM44E5YOCv5aUD9ZkK+qaoBW1H2ALGTwGm0+uAt0WwZfeDGZmqITFN/HrUV04OCFCNS8C5AkIP4PIIsULjNiCIyXPY8/LiDiSq3y2utp8xE9tXTKB4U8YXz/jhWw7511rJHukxkgzz5/hBpaQoMRcudxzul5dDVo2UxJlmsOTPZ/frMZ7igmmo4Q5V2CifSbXyqjbJlgWKlPgv39pTca6b0twUEq/l4WNAFcCCpHzaF1AS49r4Au9dXAR3I+01iM7fyXf6FpWAtLW/mNN1LxGWfQcGsrHUUZkgUaKeG0WEzKIuOFj6fCIuvku++mLBmdmXDOJ9g2733STi+/0+lXZiNue+m5BXTxeaVCNujJZ3ZTb0MHXGCw+DfB/nIEmUALLGFRopSCjFNt9VwdoLZOE/WwdbVMrJgBinNNMIrzfC5I4btT0G9pBQ17lBd5AeelQemhJl5LcVmgUQOMcSenky0hg6YSsqAVNUq9CPa4bCPTqKaS/ESqh2NYMFYbZ9BTUxh8mXscPkVmvSwrTqRMBMfTvgmfbULvBPgyiff2T5+gjANOb6w3c/AoLG/xnvJ3dOSgZJeVklCyZHBN4DNJeliSpsVBLBlB5PCglYxYs8RNTWMR4X1XWIy0BhapkQTS87kFvCh2wDkibrgV7JBAtguyq7CQpvQizZZHAAAgAElEQVR0UtfWhnVOsXyXbGATjbK4YkDNjcB6wbjOoEgaMpo6F1yOCPl9sF7iVoAppPKCAh5nNeaSyMpEo+5LBlUYuGGQxsesmfm3D9CRgjYCIAOgRiiDEgEajBsigMMgzgho+v/7bieNjqvIyaVeKrhP4T3wyt6wLsPs2V5yHuuJlIYsEfA6w3TTC5ub6ONDZjIp6CIF64sMsBRPqUikSSysCqE5ccUVVbR0aY7s88EslzfebaYtAHvCAXm0CR7K/gJERvX+8zZ3aWGeAeK5Xl2MdGcanRZ38rxLIiK93888fwjMw+AuRmuWp9M3b6gVzss23USH3M+QRTs3/mFxyDpck85v3ldR+x+WkHXLMeG0YgK8ICHwj3ByLL72HHKpn1CMxTwQ2zVPf4t+Sbk0quDkxud4JsCXazAOR8skEftfFL0dHxqiCdY6Y+F5MN6Gu1qpe6QRADusB6Dp5EGsaMc4ywAYi8LHoRQyrs9AdoRu5dVp1IbytaAlepx4KE6i1HmC2lYwGjsxX1osGLeDxGQ4U7IgBg4Vs01jzOeSWdY3YcZqOrTa4hLgwJSWR6pUzNGpGeSMT6GrrllDtXVexrcUvI302RW3b2wepkefOjhHe/G6K8vp7DPnz9Td/HYTvflBD1kAkrBTJ7N7WFstOwEx/pSFimmAsiZaKA4xid6FGzdtg64ZbiaANGayiIwVJa3GwOtXY/xkpixrxjHQLW2xmJcWgZe5T5wj4TgBL1PKoGa078d8v7cIvMy3B0/g73/3u9+lnz/CAWZ0IoaQtKUbr5+m5557PKqr5Inydy8dpU1vdVJvn78g3+m1oHT6klXZ2ZO0bv0nlGBoD3ocDqoSkHWewEQlXXBMTxvoWP0V1NqRIVjAlmPS/M4tKxRp1eKBOpAxqn/hBXIBMVdq2VfeRJt2uCA0Kl9Yz2Ua3wfwE0jpbm4doWc31aNePbTVpdzxr4IN9PkbwiuhenNLB72L4FW08la6HvHvKQCsWCm+tBB6B77MbbjfDdyOXRx+/0IjziG4+ACYsFQIF6PWbqUypBS686aVsraKSufXBfvn5uee81uQ6WDjvPyee6h761bq+PBDf8FdhR3GYlKWAi98uEw4v6y/446wFqtK1yv+nVllP3t8L7X3zAUIWcPl7+5eRdmZydBsGaVHnzksuKNwwMMgQDxNk25qhDS2MVqd76RUl0kIcAVLa0SqrJNyENbHot5I4DktQ1CbkR69k0K41yhuNwQwt60bNOIwsob8HV7katnyMlFPcQBihuPSSGPMIJM6jRoGeRHkCVqCJR4zDaAx68RIXZ7SUjRUWwjGArpJKlDKWX4rypamIeqYnOrVDTnaNAoR5ODjALNrVtemC4H/RF8/ZZpQOgZWjA7lY2rnJACYcVpeqiadE3X3nPXz1alHTKGLoLOdLDLZgrJMz7Af24V34XFDxFGTRHEo3VP7Sm2Udh3Ld4n7VBDDDARQuV8YdMVzy2ySDLZwnx4RgCP3UrBeMkXWC9g69PkyIpT6R/bvAUCNFMAxW6ehQWb1um4xuJMA5zp9ItycoIEUn0huTTwAGR25tHo6F3PJsuUFpGXWDZdMcUkVGDrcBgct9M47rbQXYrasPaSGGHvrmIPa+0PrbwW7nng8/3ffUE03XFWNDPlcrQ+B5VI/QH95tZn6fRnvcPqm8HwLWdIBGEs2ToQ4exlcYIx4zzg+0Lvi6TT3OrCdoo19wjmTudvs2N1Df3y5OSiTgcsofnj3GoyT0BxxHKF+gC7NGjCxZA5XjkEm10/bRUUdzy8hy4de0IVbrICXezdsoJof/IA0GWbyaJ5EHBBaO87tKqAe2y30a3UqTYURM1wJp6Pz9HA/C4ONzNclCsoL4AoL3vpAFktHBzlYXNvHahD7wYS5yqyyQjtwtiNHR2ZZJ2q7lpx9esqBIHlcohZATfAxOBHP/UqU58k51EX6VPT1Wai3FzpEKD+SS1gwRs/MF45dpU2NPvVwcjE+kxzJ+CSBwRlvpJx8GElkG8FuVmGuiRNAneuvLKMNp88fDJEe/5k/HaDtu/zZT+kAfv7ue+sF2/NIm3g/Bfvntm56+tldKP0x0TDYSZ4JM6knzaSD5k5CHLS4LIg58LfpKcx5KERiF0K23E6GO5UAWEfReLwUNG0AwgcCLuLuYjEvBQNeHn36Zfpg6z6BcfuvD91Cy6v975d1fJK+/y+/BtM1gX72D3dGcYUn7lccKNU+Hk07sQi8HI9+///+mF7gBSUDcZFpY8x0nMdK609uoY8++gPp9ZGLpB0+0k8vvtZIb+8enbFzFfedCZvbNUWJMzaUBoOLTj1tF6VlHMAm/i8M165WQMuFhVWPwE5PzhK3teULVH9sqbCQPP8MdhqCnWgY2Rg+nyNwsemAAKuSzTTrSkyd8mV67yAo/0Hqei49v1BgFYjH3gVV+D+/3OinURPOg8mOD1+/tppWr4QGQQSTzV4sjP/E9rmROiXhpNhuug6WwtHSgvtR4/zIbw/MlLoEu85l0AGob+FsZfABmeua7/9WHaXJuF0o9R9P8nt+9jOyQrtlpqEPE6ALwRkyewALRml//PdYTMqBwAuLep50112UA7HfWLb9Rwbod0EsTM84OZuu31glPJ8vQGvo/a0Dcw7Nj1sOaNnfBVtDh9p5M7Rv+GOBY8yx7Qep6VgfOaD9ILociDtIwOJn1fKsqICySK6f6dwdfVaUBIXIXCrsUIWyHS4fYutKmwtMMkMKOYz55EzNJpMqlSyqdJpyQs0EWjiBQbERQIsFgt+cNa0uTKAiBKTsoiFtOvRFO8DHFp9T17KaNNStu6ijG4yhELpWlaUplJudRHnJKho/1k9WSbkC35flAGVuv/0k4VBT0DCaAuNjAhngKTzT7Hg1iQUK/56p1pwN5J/zaW4A0q6DB4nsDFr4g9NcdsBsF095BWmRRQy3xfpd4vd9GOfoAMtF2kTWC/8uKTOTIAWGFR3KOVINM6wXD6/UXMvwzBrDPf0TcruBwQmwMVG2JhGUFk9UyID7ylX453KM8UZkzoVFDBYkDBYOAwzsGwZt3wOGGOzB3WroCwG8gWI9TcTFE5L3NOHSkCMOOlFxevyMJ0iUCotJ/j6/Czwn8rToxi8zMhKoGFpRer2WNqzJoCvOhsaERANtfNxGr7/TQp/u6J/zfoXq4Mw6lBLUDJPD47OHxyUU5BsA5CfPjDus+7x++iSI6c7fdSWSm82s1v9+Yh/KGIODFt+4poLWn1RIducBsrv/QPV4pyZk5ncD+nAlaHa8AOfmdquo68VisnwAK3dJixnwghLYdDCbS7/yFTCUtwF0ewFHCb1wcTmWU8P0jfS0RkfOMGKUb7HNdAD4wnOIyGRhPSwT7JsnMIaZAbCYMd9wQkwcy0LdC3Y5GnAPkp1r2H1tCnMUM05EwENjSiSHCXPU6mxq6J1EjBScbZsPBmcpQJr5JqL4VNgGurMT2l5DE7I6LQ68k1OYg2zJeeRIySJ3UiZZYNvcZdHTlCMOcxD0YIDQTPuE2GtytZRj1KN0KpHOgSvYDbBWjsV5iv3WB6b6w7/cDXa6/5x2GXQUL72was5tEOMAEVxhLRWeg5iNyPPT1Ogo2Xiuwhw1hXvc2TlGXdDCGQEjaQKl8twSNG5K80ALzYxyZiSPuLGZkx6JC44SM9IAFLMTQ4RNAGEBuqdCC04U4w+2i1jMS3LAy56DjdDjepUef/h+mBv00j//z7P0+0d+6HcaD/7b41RRUkDHmjv/7wEvKccJeLEsAi8Rvi6Lm8eiB2IBvKxc3kj//u8/oYsuqgobAGBBvjdBJfxkGxZomCxGMHEc9tnESa/rzOWwdpToe3C2d926Y1RU4tN9wfuaDxZJcVEqRGC9ZTbs8HEEZQLiJCTd39DQCjpw4AwaM8M2+UaAFitywz7n3b/7HQ3ASk6JuhgHN4zGJRfTsV75sh9pydFr6IN3IfYZqtZX7j6zmCyL6FZWREeB7+i10nOvN6NuNnKGzZXn5tN565AViLAm2253gkGxH6VUocu2KkoNgiZBqNpmHTKl3/l6LVVBHyOaNojSgyPQ7xEXnS7cFBMmf11q6kwgG+l+YzEpBwIvfA7py5fTKQBfYhk4cSD0m+fY9QSrpYAmPJ9w4eKSOAvsTh9+bC9EmuWfkwvgFrbxIq9VujRAfuqxD6ivrYcIThBcogTbCK9YIfRiSmCdzIugSMDCSO6FBe9/C2yYxyVi25F8n7dNjMeCBmONAE5ibmZKus0OkMI3T2tQv64F0Owy5pHTmEvTyDaOxaUSCoIERowNDJs8aLnUgrXlRHAa+CxrAOjUoyRpQOLKwGALh/leS2z5M2ZHiqUQzD2jJoVSke178412vywpn/NtEJletWouyCENfh0osxvnDDEDMgh0J30B7yT+m/VQZkAZOcEAyanxPp1weYgbgyYVxGnjYBErbR432AQZRaRZBov3MLLe4ncX4l3iYH8U5+pXcsSMIFy74HQklhw5GUACXb0GrJcskfWSCdZLZUzfwUifyVhs34mSuy6UAgZLCojH4DKcVcvShUQGlwB3dJgxr8qDBV7RYXyQfbcASHS4vCAOjwn8cWuR/cbHA1aNBwtwDdhkxswUSkgGiwbuNy4ufQKIk5qqpw3rCikvP406YUf98fZBGmStyzj8XaUVABuhRIoBHGExPrdHkvOcpD9jgGxx3nNlLZeyJakQIPVnUlTbKqg6vmLBxqBg9+rJPxyg3QdZrla+nQRh51ug0+Z0N5Ar7lkCj4M64jC2ymy+FB2RIc7BAF06Xykl8zv1c7aMJfASh9K1pT/6ESUApJy0vwTtoY8VH0vX9Aba7biINvEzoLC1Hjf1TqedSjiBhfeVxygLgBYrQH1TeztNw41MsG5WsuoKchwbWIEDBFFdn9CuhwFFsF5cPjZJHFgicX2JVJCLZwbAxeFOa1DNPj5EbZGB0lP8tc4UOyTEBmbMMz2wnp5woiQwBbFpWjapUjLJlZBGA3FJ1DowTSaU5k0BeOiD9l0oHcBleToI5ifQ/XetoZVIzkUar4W6jpcg0v/uhz0zx/fqrqjpgXvWCqVOkwykMLgCUIXBFf6wgDwDKxPQTuT7J4D+vo/0WBwn7j8yRGMTTrLgw+xnowfOgNZhJD5nEykCwx3MI36oktjhKQq2SzziPRYVTjAawxoLYjEvyQEvjz27mbIyUunqS88WuuLym39Imx7/R0qQJLMnYaV9rLmD/vjSe//3gBfjcQJeTEoj0nze5vl9d7HUaH79d0J/O1bAy5ln3UoPPrCeinxuOqEuugmuIX95GVbRXRItCCyk93dMkDVgsZSdpqXVmNwCHRBqavpozdpP4NqBuB6lC4GLuAFkDprbMUnLsE5sUzmoUb+IhkZS6cG7VgK4SQ3rHrH6+WfQexnDol2pjeuMVJ97AQ2Y5RH4AohrVhQn0Kc7R/xKD5T2y3/ncqVv3rCM8vPDO+9g+2T6+R9g6X0IQEikQr5nrsqgr3wRdr0RWEFueuUofYQyp1AxUx4EF7kEyeRTrw927ldfXEznnxUddZazLgeefJLG9u4VFoPjWGiOgPnC7JI0PFDRAgK/ZcV7ZNWj5I4hxCaSA17YeWDNnXdSHvQxYtk6uk30898ekrXyroKV6z23cAmXhj79rJueh6ClQ6Zchxf6D91VR8UoQZO2BtR/P/7MIYENIjj6qN2kR3mSFh+1dZBOXgKQYQyOSj7WRSyui0GAXmT1O7BoU8ALQh4uFQHkFIDgAE1hwWUoGB2cnxkGYuIMSQBiCigVwVxGYS5lF+eDeYMAEvoyTCxhFo0T+9/b78DCRQJS4PdWuFIwWMT6VLzgDQRfOLO3dmUG3XBWHq2GMOhPfrJ1jphvGe7b/fefEnGQLQXN7AiYJxiMQfBsRxZyHIGywJbhciJJsMz/dqKEh6CF5HGzVoo/oOrBIoZ0AC/qVpGKbZ0jaLEIcOXeJWERF1ByJGW9cGlNGlvKugAkJSeQqg46OdB6Ea7FvQLYwudblhJBl4W9aXPbWFC7eOlO+L3NgNXyIKzllYCame+hm6x45+Usp/l5TkrSgtXiFQgWWxxAGxVspBis8eA9MKJkgBMRTh+Aw38XtkdJFIFhw6VRHh1KAVEm5VYz8yYeuiMAVlAeknIK2CFJuF9QDC+sSKPsbDCXGBTC/xnY5P/luLJpraoO93JhxFyD3YhtO7vpz5tbgiYU0lK1iEdWkyGpi5z0O3KoJmg/4hc5pkgaxrqlQr+hw8HIEsqLPvJnuojnEUvghfeZcdFFVLpxo1DqY3P+ltQ6Zacjl+0r9L77JHoLwJvYNLgGDZf54adueIh0/WBW9veRGmPKyq4OOO4hfuOBPEqQJdh9GHWNkRVjlVhyxKLwEwAVxRhIPQ3L+FEDxMlzqGdkitoBcARDjOK1kN5GyVE8owNRNJ7b9dC+SoGgP5e5JEHoNhnOQodghPDJJ100ABFpO3S/RNB8DCfZhLK+7n6IxMow16SnwKDE/2PvO8DjKs+sX/U2GvXeu2RbbtjY2Kb3HkroJZRACAkkEEJCkt3N/vtvCjWVhA4BQu+9d2ww7pZky5Ks3nuXpvzn3JmR7ty5UzQaL2x+fTyDbOvOLd/96nnPe863DoHGC75fWZkq3/pWiaSk+OfIpAbtR0cn5Y7b35WJPqT+QG8sFPoqwZOjkpVgkTxma5JNaRe2VQAWvr85LDD3gzpXD8HuQYAuRuso0ou6IYg7pmC76qYQCcY3dW3YBZLBdgkm/cXHQm0suh0aIKw+l/VeIOYlPeDl13c8LIceXClHbVipPMGl1/9G/u/ProQeVYrTE23ZufdfE3hJ+pqAl94F4MXHLrNwWCBrIFDAy9pDrpTioji54YY1btN3xiH++CZsIN/7qBWTiXNklINnDyLKuxtddVQOB+vFomK9cA22AgviM043SEzcCxIa1qJbJRT6bIFujF4xmaJkT82p2EgVyHWXL/XJ5pnnIdV10913y6gHW2HH9VqDUqU24ziXFCqKZ+6t61O0ZhKQb67HzHH3jpeUx8sl5yxCdHBuGxl356Mw2zNv18un2/u9TuTacyzCJu+y0wrgbuP9XpjX/vgL+9xaZ/Lc4VjopwF4aUZUx1NZvjherrpgic9pYtpz9YOivA1pRrSKHMCmcgAbRzoWJUJAMNIIhpUfhS4BD371laS8+OK8gJeWI46Qi0pdqboJ5eWyFkK7vqbG+foITyKV6P2NXbrrou+cXSRrD7IxJ/764DbZUaMvbl1RHCc/uBybUg0D6h9P7ZTPvoAor2Zuo67JIQelyunH5cgoNvND/KA/DYM2TsaFEtGcw0KN90enlXpoWPQivWeOX52pKm40o8B0IfhhUQsB2I/gpm0YbBo6CLm7hrIIxGY1HICUFdnnFO5Nyk2T8QjQw5Gi1I/I5bYRg4wgojkJpp9De2YKrkUUBncUIyxCo7GRdOxPuTg8+uAUuf70IinKipO33qqV59Gf1AtRiopfekmFrF2b5+vr9+k4ByjDn2TIcAzkexpGBHrk9ddlFJumqQk4v5kQgYWwofIhQGMFSLFotYQhOj7XEogFrh7wwmfora5GVpRK2JT3yr/b0bpIRD+NMRBwtABwKANwZM9GsVogVin5/+tZL3wXVXt7pNeNZTrraAz0fjJcuLlJRpqcHujq9p2irdKcm9avJnvnj4KgtAEOXBS81yvsW2S+DiEYwJ+xSMNLQPqwNoVP+10FlLEza6KzwKiLQoQcAGWsMUooXB3MtBVYZIfgZwh+RkTGSF5EIfAbw4xzlCJETJFih6MURYrtzlLUtnECiZiS5UPKjPY+lRSjvyPFCHo47spVF5bKkkUjYAA9jDY2JA0YE9p0WGLcoiwB2yUO463FEiqNj2bKyKe1bs8baOAlGHPkIrBe2E9MEPyesv5NQtyswZSbwlhqtgAgm7xUXulFQKoPAHx3p1i7MNaD0WJtbUa6EIAEjvv2whXFYrSJSB9TwecyvjDlqAMpR1P2lCMz0lL5fuBsPVOYcpSfkgw98CipQnpe/6j7lKNU9I8SCDZ7ZKSy3eB9xcBJyEgdEVo3888AWiJgV+wQvFWfYwAOhK+9tkc2b+6QUfv1ydSpAhhT1zEJBqZ7jTzOZamJkcr8cHgFwBb0KYKn30IK8VFH5StztbYdE0hTXhfZZPjzKMB2gu9MA1I+9nG/bnejNDb0KS57dNujvhtnu2WLk+ftojcBVuzWXZhjwI6hnot5DACZ/b44vznmO0V0HmlFnIdpmGHAXOmLtgudimJQ50YPOi6e2lIg5iU94OW///iYrF1ZMQO8XHLdf8tvbrkKQVbnufNfFnhJ+ZqAFziZfVPLAuPlm/pmAnBfgQReeDtnnVksxx7ryhrYu7dbnn1xrzS1OAvoqh8hCBuyLWC9aFME0uBusyzLpvVC6vCZ2HysPThHmaxMcPuYND2LRdNWThlONcKJpmpvL9KK3G/kG+qORjr/EdB7KfE5SkzK65f33OO8eNd5F5OImteFFkhbxqGKrgzLEKLme+uQy4rcYU4kx2zApsxHXcKjNmTImaeUIKVqfjZ9es3m7c+b5dWP2xV3qbmUNKQ+XPPtQkmHGKu7BWkL0pr+9MB2GVBZh+pdowIOF9X1BMrcD8JpKRFy43eXgRXgHezRu4YiXgqh5P1vvy3dtbUygQ0kS3gCRF+RDjHXdB6yZNKR+54MDZbrYf1cBOva+TBeGg85RK7AR+uixc3Fkssuk7yDD57L6/F6LO1mb4XQbh+deDSFQnm/+MFyLKaipKVtUO68dwdEo/UXoJcApFm3OtupDZDCffvdm6XPzWbjxmuWSmmxLaJD60e+mymIIg6SlQAwZhg/mcc/jnfkSYekD/TsOgjoelqIeqsIQzTHEjgKITrorYyMTqEeXAEeZZMKbRcu4LXATByi2e0Q3B01wZkBTkrgsYsZrhPTsdCLCYuXhgkjBBSRVYlIv8PBgtRpMgTYr45blST/dukS0NqjMHZMy29/+6l0aCx1M+A+9stfbvB5HPP2nJ5+r2zO77pLQtCHpoPAjLE0yhiebRR6A2PUvYEm9mhsgZgTgVow6ulgNtnfs7drB2KBqwe88LpMs+rZts0G8NmLla51Kv0XY0ayRFkh6mgAs2J5CsYFgm1gZViWA/wMXGqBt3o4UL8n4M65cVjjSERxbLqtqFNfjWiDcdjc+OImNHu/NqbGGFhy4ZGhkIGhs5X+uK60JbRpAj1qkFYB4qHjZUG/9EZ6iErBJjB2HKKeZNTgWnqABbp2miUFm3n7+3OAKGr7bz6A2lUKf2Z0nJbfIQBjaO9NVpTiJmUXHp75M+3BCdjYj4sAQMG+y+d76IldsnknmAD2dCnte127IknOPxNjR8ij0KkYhlaORXbgYKbAaksqgINigk3wO9v/ZLYMu2G6OL4XaOCF5005/XTJBfOFzzc53QZh5r+CcTCkMMOsAIMs1lAI3mKcxGcMosjDLf3Q/xqRqcEc2TMdLL1u9O/Uz2rA8y/GGilsDimKvvaXMYCqgB5x37bxfghzyBjEbR1LSD5X7FC8lBenKuzHnY3DHkHA8qwYSY6zpbMpota0Iga4ooi10iEHG32Ktjo0RBxAiy/3uw8M8VdeqYHj55Ds3NsvHd2TsIKOliZogzGtVVtYXenJEGpX/erwRdA3sqdTZULv6NTjMyQtLlgmwSqaxLin/ATTkTorTAniT0WcmOO1TZxJuQyFX7ft7EJdOa8DmAJbXprkFyg5MwbjfdfXtklXXaNMDYPtBFDHUdSgC58vCuAq+5KvbBe+k2iwWwh6sQ/7WwIxL+kBL/c+9orEIfXynNOOVG7t1Et+Lk/f+2uJ5FpBVf5lgZe0rwl46fS+3vO3rcz3ewvAy3xr8Bv8/UADLxR8veXnayUjw5YGQxSdLJe33kU024NQGY9l2kIX2CBVOqyXI8B6qSxJkG+fWQ6rVGe6N68xPvUOKK9vYtJzjihNIF90dw0itBCtdFc6O5ZLef5F0HvJ9Xnj3bZ1q+x49FGvNtMUNGzN3iDdxgpsXkcgnDXotIBNT42EQ0mS2w0t75lrrwtg0bdhre/350+T276nRx6D6C4jlXMpMaCGXwvwpSA7zqX+RrFJ/QvYEnVNnh2hyopiwFgYw+LG/ZWp63L95UukuCBxLrfndGx3XZ189KtfSR+sb9VCyfFglMRgYp5LiYTdYMXZZyuL7S1/+5v87Z13pHjnznkBL9ws3ggAZ0Annc2AhdyhcJUINOvltXfr5ZX3EHXUee0nw176lGMKlff6MuxcX3u3xYXBwjozxobKLT9cAaFjm/uJo7z+Tp289g4WUjppSvk5BrnpBwfpAgUOMUX+nMCikCkiQ6CgDyJNpB8MJQoqmpAL1Ix8+FZQwb1tzNy9V2Q4iDEqGCmOFo+5/NrvU/CPWlKO/UMCAGFDJMAbnfYbhA1kH4BXLl0pbKp2NeJ5rUyzgNbFFPRiJpHXPw69mK7gJBk2h2PDGiInrkiUX19z0Awr7/336+WZZ/e6bITPh9D2EUcUzqUJ+33s6GuvSehLLympABbZ6ZJmZEqtlPCfIBKOzSkFfRXxRLzHCSzyqdOgRFARUeUi3yHwq9bOCsQC1x3wwodm+tTgHlVqBsEhsl7sLzAIgGpiariEWRAoKMmQkDTaOyMSbM6FBpQzwOh3JX7NXxyFzloVtNAIWLJdcqy2sblcF6NJceGKiKWvKUfcEGVnx0pcQpQ0YN4b0YhwOh7dhPYzDJaLO9CUc18qQEuCMO40oMNjLRKeMSEGjEGKzpsbRkoSrKNj4a4VkMJr2IEbtd03zx1MloaiewPQBuyZXjhn7GsDqBQKEC8iEmlQ+CjpUdS3CQMGGyvnnG2QSMO72JiDaRUeJPtDzDKAKD4gJ1u7U0YPWAbjsxx/j4RwccsLebqaLtrnOxDASygCFcKBSikAACAASURBVOVgvRCQYp/ubfhURvtehX7HsIx3YrxuAqhhsrPfLLODIjWfzJYKqQEbcNgH5lAS2mKZI6UqIC9u9iS95j4ZQToXyY3TYEz29duspR0lZCpUSpk2Cnv5djBi6pDeo+0aIWhvdMAJz8iWY45cLCmFeQqLhZ8QjCGBsm4mS/rn//GefPhZB+ybbRO1Md0gDV0ASe2CujbnwWDJwpqS0ifR1jGJQQoooHqJwjiWbwAaPgCmyjCFk6YkOTFc0Uckc8RXmmgXzBFq6wed1gB8jYshDO+PyYGjrtmG+puapam2FWOQc6CUgC1kjmbm+GjMs448sVgAwjEe2C7sm0oqF8CviNj568oFYl7SA14omHvrX5+Q+26/CRqIzXLb356U+267CSBbH3ReIhRQhuVfFnjJ/JqAl7YF4CXAw+rC6XypgUADL7xm5ZIkuQYbhdbWYXkKWi519dRa8eVusFbB5vorDeuFE8r6g5LljpsPhvaB+2jj+NR2LGgex8bU2SZ3aHgCYrtIpdHY8anvaGwkV5aWXiP5OSW+3SiO2oeNdu2rr3q1ma5BxKIh/0T5rDHaJcWKF1sNvZRY5L3r0apjEW288sJyKSuZWy6qzw+hObCxbUgeeblOWrrnLrpLu+nKEmfHo/sf3yFfbkfk2MP4lpUWIUNY8A+7seB23OK5p+bJUevz/Xo0gnMNH38sW8FU6gVopi6MZKauXOkz6MZNWdaGDVKKiB+jQRuRtkRWRiAmZW4Wv3/aacjamBAzNqhOBSucigsukKLDDvOrDtx9iQyK3939FXQfXK27I7AJ+Pn3l0tGuhELvmm5/W9bFOFjvXLEIWly7ullTvVIobw77v5S9gNU0ysXnV0s69fY2GveisMRQXmXu5Gy+PZ26dgDcdnuZrEMwOkANGVFE8DHwrQiXnYMaYz+pCcxSs+UDKYW8e61YxwXpGaAyT1IXUKgUCncQBJ4cTjLmPALLSjF9IlwRLpC4uEsk54lKw+pkBPOPFiSCguVTfHtt2+UxiaVPhbOm4SI4y9+sQ4R/wPPxpgEYGGGMHUI2qgJmxcJ3uMkqmsJhojm9++Q2MrDdd+EA1TjL01TU4oNLGnttCWnLSx//gkpe4UQMp8Pe2z/qlVyxfr1MxoDCqBg1xtgO+nfC0t7Cj3aixVgniDq6ygRsZHYdFmhJYJdzEqIXALUt1pgNS7QrMGG+V+h9CGdYfvuHgjo4l16mB/5rOlwMQtR0f3dPb8R/aGgACCHXdB2mg5jYD129s0KYyosF4wnCsvFh7VBHFgs8QbYrmsYmaER0IQpRkqUASwDD2NIrBkiqMEJ84rI+/O+GfjZUQWAUcNMcIgP854XlwG0NbZIcCjaGnaYU9hoDgWhzQGQDcGmMgTtMAxsimDUZzLStZLAIBreBaZsdbuE2p+ZzkYE5JV0T4emhj1l5M5PPpHDoD2W4M8D4DuUAv542TL5Meykp3HuKSBg02BDBCMQwPsniEp2xPRkK/5Ol0DPmxmrORnpSUWyG8856QP4koHnKDgA4AtTjtotnTIdYgOG+vuop+I8fyRa46QYKUFksuwFw3BwEiBAKoDX5HQJTkyXSUOSTBlTFZv2xbkx8p2jcgPOOGRfefifO2TT1h70UaRJtQ9imJpEKqRJUpORntc7BHbeuIRODitAS+TUoASPwzqeqUAz6UC258qEZqJV1c9DAboUFMQpWkje5mDex47dXWBtO0cXjDB6qFwE8XEf5nBtE5wE05CpxhMAvXu6hxVdFy3wyzHHMX8qui4Ue3GwXZBOpXddvq9wMM7IcIkCSOhPeqBedwnEGs+dnfSd9zwtb3+0WQFamGZUWpgtv779IVlZWSqnHrdOzrziVwjQog0OjyIlP1F+9oPzZd2qJX726m/W10zZXw/wEtqyALx8s1rC/yd3cyCAFw6c5YtgdYcNmtZuzlu1kvXSCcpntZ0hwUVcEYQkDYYIueqMPDlocbrHU0ybmmEj+RiiDW1Ox7V1DEs9qK560TzHgSEhsVJZ+GNJjF/i8ySyE2krzVjYUCNErzBCuKe2R/a1QsB1+TlS1eG6YOczH3dYOgZV50EgPTUazkXlkp3l75LJW23r/34QQNXDL+2T3Q2jczoBh85zjs2WQ7FJYTrUOx/tlxff1Gc7OE4ciwV1LGxx27rd577z2DUAp74DbRt/Jvd+WhwjOt+NNCC6UmnfVSw2tLGIUPkyOcdCBK/829+W1JISmcCiYTM2oINgYLAEYlIm8HLlunUSCwbOEFg52hIF4b0NP/sZdCb9p8vqvdRPIfz45CsNutTl1XDauOzcRcrCvmpPN9yQqnS1eriG/gnckIoLnfOSN29rk8ee2avLeGM6zb//ZLUYfUwdY//9fFuHvPBBKxwPzFjkUrgXgAbcKsJHuiQUwr3WbojA9rTadAMmXS2t+fwU0B3DItsTw8pb42fkjfn9rRAC1IKmZNIwK2tAYyHNczI/nW4aU1hEU+tKb+qPBgAdiU1OAha1jO5lZcVKYUmyTESlSlU7XF5iU2QqMkEmQ+MUTYwTT8iXE04o83bL8/69GW1+/I47JAzsI74Ls6UGoqgAX1Rl8uiTJPbM//ZrA8JzclN35ZlnSipA7fkAL63QS/rtrbdKCh2VALRQMJhsG6YamcbHFdeUxjfeUASEuXGkeDrFgk0AYKhbYDWbYDEdhU0NXICgGhmUytgrGD7TBQAgUn0aL+Zd4QfoBA4dlwYI7XZDQHQQKUe+aI1lwSXF4gagYV8kyyUz04ixwhVI7QJrYD8clUYBslPLRS9NwtPjMjKfho2jI/UoBn04qQSpEJHoaB428JEAy1KF6WLewd1AVjfruGZfH6yj9dcGvFZetgXsYIAuwbaNMbFBCqgSfNEWsl2SAPtN7IetfSek2JnSQnaNPTWKf1b0bgC+KOlPYGJwzH4AwvFhYHqmQ0vEn9KB9M8pbGDPwxxJpqEZYCnnUDocJSxH6p1d28s2HuzHPTmvvfSuaTXnyLg1C+ALXau8b7oKcO5Mu925P8/g7jtMOepGyhG1UyYApA8O4V0hXYqudcEQAg7LTJe1Sw6R3JJyOAylyOM7p6V7mM5duG8dwPA7R6bLmjL/QAjeoyO4oIyDqHeOUZ98uEe2fdUklnGsx0YADI/ChrmvW0Z64BQEdkgw+l0/LLG5jgyH2K+3IIIWfOF1jRB0LyyMB3APYNlNP+kHSFu1ByCb5rnLS+IlJdmZ6ertHTGwRFtwBqw41pLR04lxSMsGVbNdQvF8FDN2PJ8RLNNoiNBr+z5T/ZQUL6yVfFnTae9V6UeqD62mmTbIn3c9+eS8dfzcAS/e6uxf+femPO9jwIF4/tDGBeDlQNTrwjm91ECggRdGQzpAR+zqmZDFi1LAUHHOUfTphdDhCBHdJCx6MzNmF3EFmVFy06WLvaZamMwDMmV+EqlHzu5DFLTtxH15KokJEVKacwVySA/3eh3Heb647z7phkOO1maa+fK19X3Qz5hSIhX9U+HStexsWAK6DjJZGVGytCxxRt+mON8gV1wETYeEuU1oPtWvDwdRA+DJN/bJ5zsH5pSCwVMfvTpVliF16J5H93i19C0pjJLa/Z7fSQaosz+5GlojMbAlnUPhImYPxD/3g5nEBSOj6YNYhKoLJ9hURMa5SPVUgvH7/OOOk7KTTlLaheJwhfSifhU4Eijg5QpoxoQhSkM2jUkVgXfcXymAn9JjjplDTXg/lLnbd923VfY2uFp9c1183XcqZFFZqrLZfvSZ3fLJlz26Jy2EYPQNVy9z0SG655EtsgU2qnqLwmMOy5KzTi31ujFiasRz7+6XjbsoBK3/TFwzcoFGMCZyrFcixrphdQwhx26kSIEVg12zRMAzhO5pegK63msKR6A+kuMBCGcbFQFP6uTs2TfLqGOwegCpVWMe9JK4Lx3HYlPvOYxg4gQBFIqmICkWlo70jrRUCHEjgt5vF0UNweaAbK2ItCw56cINklqcL/H5+TNijXPREfDpuXHQyGOPSdhHHymHm80AsoORZqSykDZnARi/7nakTyzz9ZROx3XW1EjN88/Lnf/8Z0DS9q4E4yUGNPNMaCNlgtUWjX7l2FiwLXeh/1bDqU7RMUBDN1PzCUAt3TLMZAxEmCVvaRrmErQXsLmCggHOTEK7Y/pIZfM5jXGFG6QpAFIEbJSf+LuynLM7eihgv51t42Rl7VcNzf9LJjS6VthKtyEFyMFymcS/0brVG+uF0WamMphUqYPsc/HxEZKfn6Bs3NwVjsfNuO6e/Y7Itn/PQrAzPzNaojPMMhYG9p2HNXsINtFp1lQJ/xoYSlwH1eFZaX2tV5ISpqSosBMA5SyDYByA7KCbB4olYYugS9uAzxUXArDlObTLYqSuzgfErIYDzNk6YH8MAhDRYIQ4Ctu6yVqFPub9Hi2mEjj5JUkN+poPpCcpA0MlmRtiH4AaXyuIQFV/EDROkqBDlJ0KECZCJiC8bIJ5wXSSEWOARUqT0uT84mMx1ofLlwg8PPJBO9aX+leIxNr1F2D+pibqg1wOAVslPR6A7xgFbKmrQn0VfPiTQDB/ZwY40Q0WyF6kA5qQCqUtTEAbhdYYP5FgRk9gvvFBOkc5TTZ0E8066b85ObEKyE8RbHU9873uBYjIdb26REMEe3llis9rZRoakOGiOORRQ0YZJi0K6DKuIwfg0HYhyYUuTY6uRLyRTkZqlhsBRwVwgZaOAwzUe0sOgJI6PIoeD04WhTRzA9oxbdJjALBE4RONTzj6jyO1m3Vw8fHHS+a7786rLy0AL65vxVTwNQEvDQvAi69j5cJxAayBQAEv6zd8F5vsSUXDpN8uppkEanJFxdxTZMpL42QKG456WK6qC7vmVWfmy8pFaV5rgIP52NQLWDB/oggjshD82AUdE62goPZkBZh8MlKOkTA5AxtI78wCoveKzTTcMhwzAwU4awH0OMRI2b3pvNIH7YaOslOktcd1qXHIQUmKmFZlWYJcDIZBzByBBq+V4scBr3/SKK992unWAlPvlKRXD/UOSxlE3AaGKZqqf+GK4hiphZ6Pu000vxUN/Y3r4ZiTn+NsV+ztUXqhBbL72WdlmFa3dkHPLghqakVrYzBRx2Gz6mkxRxX8inPOkTSwUBxiiVseeUTaP/vM6TYCCbywyuKXLJHBXa5WnRHYPG645RaJ8tOByV3d7azplgeeqNG1l84l6Pm9FXAMCVMcIP77j1+5BdXOg9PVEetzneq0tX1I7kKa0pCOfhDX0TdDxLcgH16UbkpdU7/8841GadZJh/LWFghykGVSkACGS087aM3Ic+8HM6a3XaxMUYJWDCnZvhRuMgux6UtPcXY7GYQy7p5aRCKx8u2FlhUjou6LzcFFie5xM2XvH0y1jwfoMokNMO83GZtZdeYU+5UVABkdj9QuM9nZMcqml22TYs+RWDzGYaMUX1Cg2JMm4qfyOy4y7boUvjyr9pjJL74QC3StggE42KLb9Vi0dswcZg0FpPWDcyWm5IY5s10orlz/4YdS+9xzCvskkH3JcYPBYAGkA3zJWL1aUsvKlAU154m9uGYbxLZZ+HczxolggCcsVusUrF6jEESAZtnJFRJ2NN879Homr4TmSeXMszs2VI5/IIVeAWX4AbuGH7JslJ9k1vAn5g2CNsq/E7Qh0wb/plxXky7CQXSutqza98d31tMzClxpSNFyURf+bhJtaxBpBN50XBhVT8PcTvAlChuv3Nw42NQ69wfttWlBW4+1wQBcx9jfp3G9frBsvAE92vOQVcP2n52HjXLKBNofjnCzEYcUiqRaIJIc4p8Quz99xPGdMTg47qzuc8siijVMSElRp0RGzq4DOA70EbjQAV5CwXqLqDfIdIe+s5zevYbAkckIttdDSK2dr/ZYLc5zBsYWK9gu6hKMa5D1omZJWMAigXQz/s1zQMVm0V4u3dZYqUeKlS9bILo5xWvc83x9T8qGG9+ljTBTUOgqZAArIiojVbaGVctQxIg0tw/I/kZomKiWZ2Fo7xcvOlQqYkuV8fPx9/fLh9WaNGB7MwTmLxVZUXLlsTlKXRFM4YdAyowzkD2tkoO7sjaxf7TPwTllNxgmZi8pgBx74sD+6Bmelj4vBgaOa3AtnZ0UhrnPtdYjAfgz/SgxMXrmvVJ3ZRvchrSZvMUFRqQhe4f0OL4MI4V0GIxCM8Y7NfO8H8LGHBcIJKmLmu2i1nXhMRT8pusfC9+rwyGK7mQOJhi1lvi7UACGBFQi4uKU9KMItFkCKvxEwZkrjilz9vnRU1uq++ADuRHOkvPtSwvAi2stm4q/JuBlny+jjq8jTGCPWxDXDWx9fqPOFgjgpXLJHikqPV8aoM1Cloe6lAFESE31jeJKYd6TjsuT4yDmWdMwIH9/tm7GbtVxzqLsaLnhogqfF/bjk59B9wUATKhtEcCo+a4a9wsix3WW4L6NBkThzRcBDMnw+s6oAr8RNtMjcGFhBHwf7l9rmc2JZQiCnKPGPGnMPR7Wks6LmIiIYPnZ9xfL2ad7Z/V4vaEAHvBVVZf88/VGGYarlC+luhb5uqBXxyBCcfjSOMW1SbvAzsd77OgZR5TG/Rm5nr4EosJ0y/G1cBFSA+HPRkQlyHJxFEaWBqBNoY44M9qRvAJggpu0nSCwXHKgp0Itl0gVTbsa56+DBoW2BHqzGIZFAe9hSqVDMdMPoANTDvZNIKN/PPd91OQBM0WvXHh6gRx2SK7yq7c/bJDn32ia0SpRH88oGIV2UzQi2C+8ugfpZ626WkblsKT+4XeXu/RrRuff3dgqr3/eIeM+OA7p3XcEQZdMOIB0TKC92SZ4Aht0tg2zggEz3ithY9Ah6usUS2+HmHs7xUxwwZFYbj+pEUJ+RRAENkCPSVuUDXzzEFIkXdOO9I51iIkykqfcD1bsMaS7A3TRc6Xg2DEAHY4JMGGo+5QIUIZ6FyGQdFixHJsHN8xCJfUAAp8EYOKQJmewO2wodpr4d4IPvrQhE3QcJpFiFGp3ATNjc2WV7YgYzo73ppNWS8hx10pM1Cpfu6ty3CjGzt1PPy1dsGN3lED3JfUNEZyiUHU23MOyAcIQ1PgKKUnjiMKymMCME6RmYOFjs1a1DkremkJEgkMlGMLxobFItzCVwVPmap/nIW2FqDcetmvMfujsNQPSMC2KQA1BGuo+kWWDjQt/cgPDf3ccS/BGYds4GDYqsGZ4aFwa9/cjKELQTP/1EHCZQjvuh/uWtxKDPr4Yc2RWlhHBCTRCN4X9orV9WFqQjqcF2JlkNwiQ0lc3MroVMTUxArGQkBQw80KsyoaTgrp6bTjeHCdxwfMX1PRWF3rvlo5RZLrqlVjDuOTmtANAojX17BGjqP9hHdAFkKmE1kVLUIfrZt/dvYXSEr20VELQxwPVl87BGDKB9Y22xADEjIbQvLqYLWA3CrSfVOOD3r1areHoZxXSZI6UVh9SwbjVrkQDjnZjS+64BgEWbrSN6OcGO8jC1BOyGggSOYAix89OU7d8ad2K9KdJ2ba9UyY1KaLlRUlyViIcMMONMgJQ7W+v1UtXW4+ETYwo2iqh02PQvELfGx1SxGsLYUefFGGBCxpaucMZyFsOkKqCqKe2s7oHKThe1lxoP+XFtlSf/Y0DUos5iO6RvmwnOfdkQWDXpOOMxFtJAPs7Ly9OSfNvaOxHP3bWdovAen3lslS3FvGOx6F+F10KpyCgq2X8USetdwBjmk7elkPbhaYKYYieOKovFOtKri2YUkTAJRGsK85tkXjfEWj3yk98YiCqS2FdgjHzDTr0IIC3CVp+90IncAF4meuI6P14U+nXBLzs9aWneL//A3HEAvByIGr1G3LO64Dg3v9wu8TEegcX9G55ZLgDm4AhMSZ8W/eJCCYsx8YgPNz94oxfzM2JkXPPKpdiTHAsXDz+6fHdLjojXKh878wCWV7hPNF7qs6p6XqZlickNMwWne1BxH5PHaMa7jsdRceWL8LAHZEI95vzQXNc4nWDQhvcV/7rDqn6otZtJI9imgPIx53MWiR1ieuVCCMLKZUFSNM49bh8ufz8RX4v6A9Us6prGpBHXqmXjj7Pi/ImUMmbkcfvqFtOnocujlMmTodVb0IcRANRvz39nlkGh69NlfNOcxZr9fR8XRDLZJrCEOy+1SErtqVepBRMYvOoLpGglyZi0ai3aI/BRF5xxhmSBpto9e+boBGz84EHXNLKeN5ALXCZauQoZL0M6LBemGJyKNyZDKDDBrK0gJnyh/t36DJT4uAa8svrVmLDABo2KB23/nWzNLbqC+2urEyQK85f7NSOKeJ721++lBbNAs5x/5edVyprVs06xrR1jshTbzdKTSO1mfx7ynQsLCPCLBCLBqvF4n5y57hC8EMBY4JMEgkwJngQrBgwZKSnWdIiJrBItYmLass4mCi1SNsYRPoSF5ADED6kNbVe4cKT2hbqoScWWjERZOgBdGFJwXXUC03+GwHtfgC6ju8ZEO2joG5SUpQUFSV6HZvU9+KI/BKE4caE9Ow4AjOIBDsWqNo8/5EHH5SwjRtnTjNtboT2Z8vM3015WRJ8/eFwYboRoJZvKYHsl0wt2v34404itweqL7m8DzpeoP9kIx3JgI3jPrDYyDjRsl4s0A8KDhuVRUdWivH4XAk7yebYJ1M/xPzwP+Mipb53B2ijBm/UjBtFw8b+6e8ZlK821sveGghzQu+IbibWKehYTIMtMgnwbArg9OSYWPEJmgaYg/Y7ik3fECylqUNE8JHntthBSPaTCIgNG8A6yUiLkbKieLcpgiMjNgbsECLx7gp7ySjGkhH0HXd93MFyCcd1mWIQmT46I4jK81InLBrOeupxOtocJclBiV7TF/0bVTx/qwUC9fthb6/3PEaAdmlpLVgzhSqaHI7C4aIXX8BW3fnk2HebamMkqnvI5z4egk1nPBgqTL0IZF+6FMyWAbBnaA2vLiFwi4mHNpl2zDCZMXYGQ/NFlYqoPyYCVJJFUmsOkR4fwBfylypRTeE8lkwFgix0rsGcTfYCU5/oKkQ2g3rD7Q1g3j65U5pC2wBg9Etn+5gEg2UUMjIuIQAto6enpDzGKCm9kYoQbHtDs9SAOcaUbNoe8+MU1MF9rSgwAISee6o9mdm7wcweAgvEW8lDICAXbpKOQh2WHWDJdFPI2oc5k00wE2lHeswXxznT4XzU1QfQV5FSmm2f+VivZkPPyV29UgOPboQTWHdp0/B5bgZVegAEM8VIzXZRWCpI6woBwBKGwFNkdJQERYJ9g49EwAgBDJuCgyolDxpemZWVM++Y5zwQOk4TALQ33nabjICtE4g13gLjxbVVmyq+JuCl2odO4q0THqDfLwAvB6hivwmnVRgvfwcjJdjo3+1YhqQ4dwdYA6c5WfGpT5aJlJPCQn1lcS7ijjkyEyyXYtBunYVnd2Dyue8Fsl6cb22urBd+2wzdlwnTU4jy2lI3GgAktGBy9VQYXassp0tPCATlToFF39Eec1mff6VGNr75pRh2vwXhM33WAK+npBwNQqCudI3URCxTGAClRaB2JtjSmq48v1RWLc/weaHl34ub+7e6AVhRdLe2RX+zPQDKaDXSLfQ2natKjIr7yzgiOEWg7tc2eaYhF8Mh4IeXL3NpE3p3TYr+HrBQWiByzCiwttDGtg82z07RFiwgEgFqcHGmLmQHFINNUnTkkS7vuguMmc1//rOTDbX6u4GYlLUWuKFg2oSBHuuIxquvlwudl0rYWXtbUM71TT/1Uo18sAmsD510meMOy5AzTyxRrrljd6fcj9QkB6Cmvc7VF5XKyqWZTv+8cXOrPPE83GR0InlJiLD9/PqDILYcJe9/0SovgR1DxyF/S3FWhLKwG/Dczd2eXmGeQMzzrKOzJAdrW9pZDzU3yxCivoP4MAe/pw86Dh1jTsw8BVwF+OLqUgZGAQAUR+SfGI4RwLQFWi/cpTk2tfFwLnG4HvHmFKYczjcG0XF1MYCBc+h65LTD9WS+hRFitn0CMQ4whhacsdjETEG/KgjaLiF2AXGLBWOXwnaxRfQtsMeVHx8qwdmnQhvrSJ/aI/ssmWnN77/vspHjOQ9EX/JUR0xDYpQ0CGNFMJ1bGNkn64URa4WN0o/oaqwsWlcsETctldAEsE6m1mJOONdnfYP5vqO5fJ9gyeefN8obb9RDJwI2ufZuxDbGD4F+G71e/Xf8OyL3VoAyPf3DMoxNXFgQBKyRqhuK5JEIsBfiDWBmYS8ZBADHDAAnHzramQlow2wbvIgC0pilA6BpIzam00yPs7N53N8/Uu/wVTqaaPuMg+WibKiQOxSTNiFT4Trua0gHMWK+JpgRZg2TNIjphgZ7DvbMpT59PZYpxrtqenVZfXFG6NYltcB2N0QBr9RlGLvkUQ3oYjWHyvjeCIkBeBbmAyDB8xF0iUNKbIhKsyxQfenyNWtkGEGNSWymtSUWQA9BTG2ZNjUAGAEA483pyJKIdlIm1Wg/Q26elW2A2h3B8UhtyyuQo/JyJIHAMUCWSLtVsDddKzWzzISUxjGAKBOwtKe2yhiYKnu6t8NxuVs6atvBfERwDm3ZApFtAivGuFDJCE0WI0wY2Hca0cabetnu9VtHLMDApfmxcwYD9sAFswt91ltJTYnEutEVdKd22DawZahnyECAt6BFKMaCDMxz7pgvTIntw/wTg/4VBQkAx7ixankqgHZXs4gprME4VzqEc7XPoeiyQH1+CGy3cROYLERTw23gioRHYqSBlgvqlzhxnDESzwANIIJ9eJDYnCw55+ZLJG/lijnXq7f61Ps928s26I21Ig02UPPSAvDiWtOmxV8T8LLb//WlP+1pLt9ZAF7mUlv/y44NBPBSWVotxsRvSZ879X70qSWLk0BddNZLyQNift7ZZdB20I/YcvH4h8eqEPF2dtfhwvEaCJgtK/ed9aJsEChoNvU6kPR3MYZPI6rQq7BPPJX0FESUIqntnwAAIABJREFU8+OUQd4yDRFWOdtF94WWuU88VyWbtiAHFhGq+KF9ErXnAxkfgPOATlE2UnB1GKOY2KrjRQpWwEJuNjJCwOfnP1gmyUm+pWj9Tza5UdjnPv7aPtmy19kinPoTu7HgVJ7JTSlF7vOJ61JkWw0EBz2wD6hWf9P3lsEq0fvz90Asd+cTT8gYXVa0cvtc7lFLABuocaYPqEoYFmrJmigd/74IwrVGDW2aXxtGus/GO+90Yc2ozxmoBa6a8cLzM09/BGweZfGhKtwsrr/5ZoWtEMhCAO22v29B1Mw14sYUnZuvWSo5WTbA6qEndsrnWyBaq1NSoQPxsx+sdNEq+uv9X8n2Kn3xxaM2ZMogwr/ba5ma4N+kaIgKknRE8Zo6J+Ec5N+Ezm+tLDfKOWCgxascl9ieOI5MY6P57vs7ZdvWfWLq7BBLJ1wnBiiCCFACi3QuVgcGsElU5eczwuewjqb4rxFU7Una6dpXxpGI8OVCZHsYukjqwu/1QnxQG8GMgq0sc/ErIMrtEAAMZDtgSg43OjHoO4lgWBnQZ+IAzshUG7I8ahWGRBA0F6ZPP0TCjk+WMMstGBu95/t319bKbrhDjADEclcOVF/yVD9mbMT60M9IUacGRCju08pxg2CCBegdRDgzlxVL7rlLJOJ0RpkBXph+jk20s4tXIN+BP+dqh93siy/ukV27AABAS8ifMo5IfgMAxV6kwxKkYfAkG2LSERHY+Co6QXh6Wvzi51kn5cnagzKUVIK+jj55550aadjXI8EmbErNUxKKuRZUGgWsETAHLAB2+NOK9iNTAIXIwKG2iQUCv9Ceof5MMEAWAotkoTk2tlGJAHuQpqPVgnA8H+8lAWkROSFpEhk6fzByrvXGsYHpIYM6DB8H6ILgPVIFkV6jGpY4RJDtAuh19pKYH8eqoyS4b0hifdRlIvOEc4VWKD6QfYlpbf3QQAJdwal6mNoUt3ixy2ZYEduF81mwxvlMr26t5myZDsqRKgx0k3RmIshiiJGQXGiw5eaIKT1TpjIzZDohUUxYj63G2HMOBlLFQtteHCwwhbWGsZhpLuMEVvCZQPsk+4Jp4eP490mArMqawaGzQtYhUih74HLUNzQGlyPncTgC43NifJSkW9MAuIYra4sdZHSBreWu5EGIOhusRF+ZGE0tcFoDW8pbrhDdPheXJblN8yFIX13fj3RupKfiz1q3IO39sp+lg4WlZb5AekdZI4/Z64J1EAu2G5k2hXZdMce5OPcRcBm1p0aTicQPQX3qrIRDWyUMH4KCPUgvagNo1TeEOdEMIXPF9pr212YbMIxPIp4xhDeA/hGZlirB5YfIkecfLYeuyfMJ3J9r/9U7vg6ASzWAFwd6FYi+tAC8uNa0aal/67T5vuPQHf6tMed7XV++vwC8+FJL/0uPCQTwsrSsWpYs/47s3NXl5HagrpIo0IGX2/NBSR0+7qhsOf7YIjAaPFMxt1R1y4MvNThtYHjeUjAirr+g3K+UnImpHUDZn0KUuleJTnnLMS/ON0p6qk080GrOh+7LxUidSlEeb2BwXB55EilRe5xF71L7tklQzUYIZeqzQ0gnHQNYEQO9iJgTL5DOoEynyMQypDldddE3L+WIz8w0oqffqpNPtkErB6tGLkBqEKXp6fMMYhFQiUM7WFZowOJUf0PAVI5rLi6TygrPAsrc+Na+9ZbiWOQQpNTrgqTcd+nQo+OQYsT0ApZwLBpLkVaUA70HvQ0sKbOb/vQnJdrnqQRiUtYyXni9EC5aIA43DrcVbcmATsXKSy8N+ELkbViBv/R2k66o8kGViXLFeTZ76e7eUfndn7fIML2Tdcrxh2fKt04sdlp4NjYPyp/u3erynSCsn/d1TkhaOnRUDP5tnHLTqH0yLZ39pC/7N5nHQFzwjCMzZP2KDN0F8yBSKJ74uEW2wm6d0zZBFArjRkyPSgTsrMOQomTphC1xW4P0o36GIZLIRSVTjIixRNEqGt+c1DBYMgDyMhLOIOKQCnxh2gedK9SFi9PExCjFVSkuLlzKSxO9pnP6M0VNIxUo2K7roogWQvzbkDAtCcnREhMfI9ElmWK8Fgwo60o814kex2NuhmohYlsHm2itpbv23g5UX/JWBxTC7LOn9lGEMRF9L5rAy+AA7rld0awoP2GdJP60XMLSkJozeYJEhp3g88bK2/Xn8/tJUEPff79e3nyzAeCFR3Vnny4zjPmpF+0uEQEAIyLPnsr3Ly1TNrFPPV8PsEbfPpmbKQdYowZu2E1DwKIKsSLWDTHjCBj5TQFsDAWvKsQMMV4LUv9iRiQ4oRMixAjCjAGsGQUzh3Mr/4wNOK/N9hU6GC2J4TGSBTYAASKv4X6fasK3g+jY1Nhq19hRfcUBuoSEmCUJTiwEshyF48EQ/jfuNFYFy1gNHMyQXpSEcSLEB7aLHtPFcY1A96UhBDsmNYEM7paNYJBSY0NbLHinFms13r2rYx6PDQoFiwLpiRHxBjjSHC5BWSvkI6QBDyCgMJmcKmY8P4EWrhhoCB6C+grGO4fEjxwJ0HvFCFJ+AKLQelkBVvAZxZg17dAUceis6FE4dV5tnxkW69MDWNuhbWmWKUlJkRIbGgN7cptl9AgCUTvB7PJkELAMDpVGH4wSuiF8vbcO44wXrJTit5UVMGLQMMS1j8J7q9k/gLRhk4wg0Ee2paf0o3CAL2lg9agdywjY9EBbzFlsOEhWrkiTnDzop5BZxfdD9hDqnYK2CisJPx2fEIoy298BQa7ufjCU4fbVxzQjjDHaQu0Y2kaTMRQeA8Zv5VrpS1wi0QiA/AKBnKgo31JZfeu17o/qR2Dgc2h/qeeqQPSlBeDFtc5Ny/1bq833HYduWwBe5luHC9/3owYCBbys3XCVNGND1diIKIKbtpwDlHzdIZnQcimTslLf3I64mLrjkV0u6S1cu3zPD9aLo4qmTW2gNz8q/cN7MdkNeo0ILK1AFDQ2wga+WBHtnLpMenqT5CHo0DS70azI6PxUpmq2IvLiyhzISIsC8GNRBPiCwqDpcNzF0jU9m6vL+7z83BI5eGVmwDfVfjQT3a+8sxGaNh+3SQ0WC81tWAh74LRGIqWCv56EIChFSg+tjIPQMaJSmv3BSUg7O+24Yo/P3AMGSxUci4YgeOZtYT0IsIKCx+oSAqZICtxNuEBIQd76IqTrxALY0Ctsf1/CsaqbUT4v5SEckw/nF+8xf/0TkR+1H7a338E9aUsctGaG8NwurhJY+Ky+/npJKS72dntz+j01XO64Z4vUN7vm6XBD86MrKqSs2AY+vvFeg7zyTpMuvZ6OQj/53lJExxKdrv/0i9XywaftCquF9s9jiHbvhsMVtR4SIBy7CCwOX6OEjhOXIYWtuXMcgOacHtXp4FJoTZ13Qp5kpem/xX2tg/IYUqDaPOgTKXoxiq01fg51S/eeBhlt71BsrRMnu5BTMSKj0A1QlwRjuKJTwQUuXTSi4W40CJFE2nz3QIRaa0nLxXd8HOw07aFzAwR3KyB26g3InkvNqEVmHd+jY0lQEEQ+wUiwMpVjeZZEZhhgY30aPotsAr4QsYwGa0TtpKQI6ILlQmcxb32W1wrEAlcPxPTl+ZlOpoCsZDdhM0FxxgSkXMXAYS1ktAMAl8jia4+VmPPQRqxREqowfby73/lybX+OUejw29qQVlSH+RcClgFYSyYlhcuJJxZJCyLmn23u9uhqN4XU2da2YVmCdNLRMf8vHocI94Vnl8qSRany5mct8ubnnYpFbpTRJPFrkboAgXzFlYv/4TIK84b/jU9KMETzozojAVhEI2o+JVlI51lTESvoUjN6N0wNVISKHU5T+Ml/Y4U5HKNmftrTpnx9HyMQzd+JII6WpecAXXAXkhAHcAGMAXWZJDMOz+CoNQrpju6JlomuQTHgX2N8YLuEoa/FUkgXG1y9Eui+RMv0wR07FKaIuoQBLKGgr964bbGMiDmoBmwH6GiBPRcLxmRMRpxEpRolJhU2wOnQ4sI7s1qxYTd9VxqtGfIoxsIpPH9YV4eE9fZLyEC/BFEvhJ9ujKMAV8wYMAsAaicr9nD+sbu0dWYB2tJh7pT2QaTKaYRnoxE4ijVGSKIF4sV24ebm7lFpVKXzac8XCSBhGVKOwj2IUA8NTyimD94cjIjBEXTxBoQ67mEQ7bIWLk1jk2B7A+gfQyoc26i7MSIcQdE0I+YhOE6FQpdxBM8/OY0JDdoq5sh4fIySkAHr5cQEMSQnytoVsWJprJJRrLOUvkSAxcN7IDN6575+BQzqB+tFO68RlIxCfaWlGSW4eLkMpS+XYYttbL3w9HyI++f52iXnddwUxomNd91lW2OqSiD60gLw4vpqTAd9TcDLV87z1cebdsCx81EEFAdk2eJi+d0vrpbkROd9Ge/+jfe/kL88+DzWvGYE5RPl1z+5TPKyvbvtzqVRLjBe5lJb/8uODSTwwgXg7t1dEIF0ZT6EIcq7bEmS3HLzwVJePjch3y93dcojrza6LP7K82Lkugsq/KbZm83DsNB8Cpu1DxXBT0/AASPRZKE4clopYvbWm4fKV9tzPDJm8trelaHqXbOTEcaXIjBoMtIM0LmYlh1Vtnzw4Nh4sR5+gfRPzVpfGqJDkKrh6g7zTWpiz7+5T/7weA3E19wLwXGxbIgJgY337EKNm+0jliVg0ctcXtuCaVGxUX5w2VK375Msl31guDS8+abXiDnPR5YB2S5aRkxsYaHE4VN+1llScCi0KdxEFNke9Gyj9eqfqUsPbd8uWbi/+QAvzRCMuxh0cS2Vm+5G0YgAjuqwblLgzLT6qqvmDFR4a0fb0O8eekZfj6UozyA3fHeZwnBgJO2ue7dInSYl0HH+Eiw6f3SV7VhHGUYE7ta/bALwOC1t0DuibpCaDl1eGo8JD6KLak6+mxtOwkLRiLVZczfsaf0M9JNpdeK6VDnp0By37e+97R3y4hddgm7rc2Ea4g6mHyDtqDgBWlEQKYycHMCiHW4YIxDwBTATNwGHExAKpqj1Yi9kBbL/t4B2Pox0JHXhEiUhEZokGsFygjGLsSiP1nFd8vmG7Qea4Y5jgS5SMCKZjqLoI0gf3ont3ywF6RKSDUDVnIKovE33h4XU8nBqTUCslwK+3Bx1oB+aEJGmMKcV5/S0OOc5ArHA9Rd4UWyXd++WKYBFVmpG4b65Uwkm2yc1VhJS4iUL1ud5v14tkdlwMZk8F5uFdT611bm+B2/Ht0MM+7XX9sj27UidwOZqvoXOguvXZ8oJJxRLPBhNyrt4bIds2dXv4mCm1FPvmOxHxJ+sUTodbVidArbN3MGXSsyt5yMgk5RouybLdmi8PfdekwQvbZLhKM82ypHjMTK6KRvXnl3As/9cenKeVBTGK2OPnpMUr0O9IYc7FNMlFHcogjT4MzeTiosUPtSu4E/FHpzH2D8E56txr8pGEgAyRYlJLYiLHQFbiHooYLYCATJoUoy4+e3H/xB6sT0w04tqCboMUeVCkqjB42X8U5guAOXdgS4Hoi+xHoeQkufitod7jaNLIJhiiuitw9qeYCzmrogUgGNpmwC0kIkEGWGgZ1MABib6TLBcNoG1YsFPpMZAHm+qv0zae4elun9QTDhW0Vqx6y3ptfFFOCbBR4c2X/rIOAS1G8fbwcyd1UeyDW4QPwfbLxQRhXTLbMrR7qZB2KO7n3zS4sOlOCNGd46ewLi/C+LX45rUJpf7xLXL4P7nSwq2+rsEX/YCfKEWG+twBPPJFBjXQbDEC0F0IISAUESkWCJixRoNgCgmVtKTjTJsDpfqFgQHp9AmLWDCYJ1KiPCQFSkSbR2T2J4dYmqoklhYouflxc/ov7irX7abKqQ/9cI1jRpodOjTlti4KMlcdZAMpQJ0CY6bwdLSU6D/du3KgAYWPN1nNViZ9S+/7HJIIOalBeDFteZNq78m4OXL2blqaGRMTjj/Jrnt36+R1csr5K57npb2rl654z+udbrhrp4BOe07t8jT9/yH5GSmyqPPvi1vf7RZHv7Dz30ZWnw+ZgF48bmq/vcdGEjghU9PJ4Odu7qd6IrJiJ4thcaLxRwM+8kYufGGNXMaQJna8rsHt8v+dudQNlkv151bJBXF/ufYW0FvHpt8DRPTM7C1c9aS0b5NRqwWlSZIZ9eo1GOxiTWWtDavlZ27V2FzpL/oDTbBOrLlHRmo3Qel9mC4QMQhog8hMfuCqgVWm8zp5TOGpmbL1Npvy9AECbW2smxRAlKOnN1hvimtjIvuP9y/XdoRFW1CVL6lW59qEI+N8QDdmwCyaMs6OB6RUkp66U1XL3daeKuPVVguzzzjEoHwVBcjoEMrLBFVeIf2muWXXCKV558vcYhieyo7YHHbBCDFWwkGKFIIQd6f/+QnUoRI4HyAl3qwXX4ABs6YTlqREbaJ1MXQAklBWOCuvOYayUCOfaDLvdh0bd6pLxR9xTnFsnqFjZG1u6Zb7vtnNXLB9fvB+YhWHb7OOTf7kWd3y0MvwSmrxxXJIIiwojLZayphaXaU9GAR1+cmdc2X+khJCJeLTsyTsgJ9AfAxLIyf+aRZNu0bhl6BL2e0HeNIwWNK0RKkPtQDlO5U9ZFwjAcxMcFyxBqkvA12w0mpH3bWbWLpxjsexbWoLggdjLYOgsKz1yUInICUBT1QihvnxWDnxYDa7gtopfc0vG8zgIcgAA/qQncfCRpUNkyWeEQklzAShMW4hWlnrlEhAp8DaMej6Idso+EAJ6PBLKPFJy3cQ8EksRCEwXH8qX7IQCxw/QVe+MzcjPcCSOV9kfUShE248k6xiWa6URQivmXnHSMlP4KNqTFeIoKu99pWfW853o/kBurNN2uhp9KAOddPtFF1GU5H+QBIzzijXEo1bFRGyu9+ZCucAGfnR6Y1EXDpwtivLknYYK5GKuLouG/gSzgYEKefkC9HHpavC3h+3L9ZPurZKwPYLLqL0odiUyhfFUh/tzObxHFfJ65Lk5MPzQIrSZ8R4q221eLA7FNmDdPjgw/2yHsf7AfSj7Qo9Fdq2mSldEhGyg6M1eNgcJgkJTYMf56WCWyCp7BGMuMzjvMM0jkKaxCCLqN7wmWic0ABJWOxuIjywnYJgei6ArqohHT1nuVA9KUpgJGDTMnDvRJopcteTEKCJAJ4yT7hBMVemsLc7ONjYKYoKUDQWRnq/hIAyxaI2g7LONIwmcZhhf6PFelkVtSf4yVbLdDVk3Jpx3i7Hzof3loTV0xLAL4YVeC+t/fq7fe9pn5p6Ef6vGbQj8W7jIHCdIQ1QhFxZuCGc8R26L14Av7LsqIlRcVS5PWp31UFrcFBHx2McmDf7su4TgFbugPRBow/J4LCZV8/xJrDMU7HxMnIdKi09sPtcTxURi2RMglBagIr02DDUNg9KTZE8uOD5Sukk6vLkrxgOcgI9lnNdqR2zWoYMnaVm2tU7OXdBbKaOyC4DUMLAi4EXtRsF4I/4Xklkrx2g4xAo4lMN3W55KxCWb86x9srC8jv2+GAuQWp5XrBgUD0pQXgxfU1mdZ+TcDLxtl2RhbLc699JPfc+hPlBocBxBx+5vWy8ZW/guU6O3ds3r5H/vPOR+Slh/6vclxtQ4tc/uPfyccv/Ckg7c9xkgXgJaDV+c06WaCBFz5dY+OANDUNYyEaBPp7nKQlxyAaN9vATzu1QE4+uXxOFbFxR4c89ho0J1RilTzBsuJYufrbZX6zXhw30dP/MZx2HoCVpr4gLo/jAoxRvSkwNDhJOcrAQAEijsdCiV7fRSF8sl/y2t+VnOhxaLq45qfurO6GgJlt8xleuFhGKk9y2sBefg5Sjg76ZqUccXL+8wNbpKrWVl+cRLtGJmRfq3OEyAgL4hHof3hiAS8vMcivvlcpFaWuVL1JbIBqwXBpgvuJN10IdYPipMm0BhMi947C/PPS886TNdde67W97IUWRS2sqfVsENXX4aKz4qKLpBEAzR8A1BSDJTAf4IWbxesBDI2B2WKxb/Yc16P6v7GgQIaRY68tiViAr4U1/FzTc7x1wjYAg3cCXBvS2dylJUciCgVhaLtl5j+e3iWfbu7R3SDFIPr8i+tWAFizMb1ewkblo619smVHl9tFZ35uLOwqbQ4S2hIF8CE3LVT2d0zYqNB+lkNge33mUblII9TXsOjsG5eH3muU+i7P+kV6l29F3U0gpagYC3UrFpIcP/ZR8LBrNs3okOVJijYL+wcfk2MmBYzDp4dlrK1ZxjvaJTuiX3rqYcuJHCrTxJSi6RIJkVN3JRSCM4vBIIiF0Kgvi3TteUwE/fDBxD/zK9vmE0kRwdgowepTlkLsMJq6GnGIzsO6VsMam0Q6Qh/aKQVXdQstQwGCRgGEoRtKODaRTEFQmAnYqN7zwQdSBOBjvn1JK1Q9l2Yy3NYmwwBuFaCTrBdlECPrB6LC+H8wFmNJxy2TvBNyJH3lFZJecsT/CPjS2NgnTz9dJfX1YNv4KUCtrge2p+MgIn3YYQVudYJ60Q/ufni7NLWNY55DakUz2KKaNAzHOXMzo8FetKWSeiqLwGo767RiybYLdWuPrZ/aL7tDaiC4CqHflmHpgiaENjUV20uJrM6XzgbPug9MIbzk1DxJTjD41SfcPQfHx9v+vg3POgt+Lamok8WLMV9Z0U4AGixGsCYelDwrAg9oNUoAgiL8O5BuMQ6AyjoCrayXDTK8F0LO6GfUf8pmS8PDUiB2mh97mhRZn2SMBYFVYkR6KcVLHelRysCrwwoJxGbRAWJyviO7MxZuQlMdSJ/EfSmjL66rMITQd+NWrVIYmyMQWXVYCfNZlLkU9zhtqsN9d3jtilYzxpigImlEZbX6oHPDrRHBl5gAgS9MOdo32Cz9E0yjnr1dOmclp9jYmPEmgF8hNjCktQfsr26khbpp9mRVLi8A+GzXZmGwjQ5GPXRG8lKSIVRfVqxKv0V9UENF0d2ygyuRAL6iMZZG4BOFP/PDlM8YpICFYWytbx4Cc7we/cjGrOSY3gbr8/b2EZmgpbPqGbmeszKNIsKCjK5JiY+clvLwRsmbrgNohlRTN4XCu8XFSCPTAP8DQ5NS1UBgCql1KrYL6y00u1AGclZJVE6uJGN9PK5xMsxKj5JboO2iZsx6qy9/fz9EE4Xbb5cpgIR6JRB9aQF4ca1Z0zr/13D+vmt+L/Sz2Ub/93+8DH2yQbnluotmTkng5ZE/3uKURjQCbbGTL/6Z/P33N0p5ca7we3X7W+X3v/refG7F5bsLwEtAq/ObdbIDAbwwQtDW2i+FuYyCQnhLA5YwKvsj2MYWFfnOVJmG6vlt0HpxYb1gHXPDBSVSotGQ8KeW99Zvg0Xg/dhcODvg8Fxc4FLkkmh9FvRZLGRvqCaqiYl4uEicLk3NBpfFMK2iT1sJd9JnnxQTROC0ZRhRMDosOaw0IyrXyUDeOkUPhSUW+g10OeKm9ZtSnnt1j7zzMSwXVYsMhTqNxVctdEHo3hIF1gKtdVXZCrq3X4BF8QWnFMm3j8nGwn9WbLkdUfc9AD88uZ+4q48xuBYMwP6Zi1IuFpPAFolH6sOan/9cDFiIeCqtAGy233+/W9vome9i0VB46qlKrns9qKmBmJS5wL0S6U8xWNiOaPKLed0YAC8TnbB6BiClLlx8LfvudyUbEcdAlxder5W3oOWjfteOa5wDKv+R63OVjTfT72792xbpdZN2tm5ViqxbkynPQLSXgAkLv1NDC3LNGMHfBWOBuxKsFwew47hmDpwiTIiOdoKirvRDP4oBbfOsozNl7bJ0t2BVdWO//OPDVul1w2bzdFlqPkyDQZeM2zPTK9deuNita+iXdmjR5GdHS0meUdeOm5HQrVs7APJiIwZdiHUrjdJS0yyJYSOSY0Td9XWKZQguSmDFKMwYTWGu/BKAL9QCmAv4YmY6ECJ+QRrXElpIgwKjgEOW0gxBUFLZQFotpaDdz47jfL5htM9BtF2mB8ylKC5K6P8Uu34eC+CSebLH2o4+Wi6urLRZzLujS3i4QT5LL+piEpazFrB/gux22rbkENuzhWfArQ+MiuAwMBmLTpbcww6TbOpHBTDtwXGLEwDd3n+/QbGIntCxY59LXfNYpv8uX54ip51WLqlIofJWaB//X3d9ibQIz2k/PE9ZYSwcugy6abjRCF6cenyeHIZxw91mimyDTfKVTIfOsuG6mNbUPjozL/I6MW1p0r0jQXds0j6PAfocl5+WJ+VgtgXCBYz6S3+8bys0zmbBxWVL9kpZ+UdobrbxLSs9WgqwDtL2wVb0rwaAMkFT4dL2cKr0bK6bud0KbPiTCB44vL7JfMGfabHLn+GYx3LgvkfQxQHIMO2JqVBMkZpGsGESgKcJ4KfiDAmmaOa7784LxOwAi+VHCDAw9Ylz6jTOPYB0o55Nm2zzJJlhdnAlAmlFTOd1N+6Q4WOyVGN8996OrGayJDOlllpXPoAvkRhql4CRF0lQIgBlaGJUaodawQRxHsviwH6OAlOXGkPpFtgqh9iAv2qkHPWQ3eumxEPfbjECCpwva+v7bCC8Dp2H7zmYaUD4GBOiEMAE+xOskBjoZ0UBWCHIEoVxkkALARYD2EUOK21P430t7u/BF2uR7jP7PEx1asRc1w8R3Wn7XDUB3aZ+pARlwh1wfVSDhDVtEzM0dug05AvYm4d5jS5ovBdaWu/AHD+OMYsaL3RJ4tgakp4j40VrpMGClFUcd8yqRDBCXevuinOL5eAVWQF4m55Pwb6y6a9/lV4Ez9yV+zdunDereQF4ca1d0wb/1nHzbRShn8x2vrvufQbrSjM0Cc+dOe2x5/1E/vh/figVJc7aQi+99an86ncPAGCMxPosXB6662eSm7Wg8TLf9/H/zfcDDbww/Wf50kRZvTJdHn5kt9sFYl5erJJy5NBM8aXCP93aLv98s9lFxHNVRbxc/q3igCym3v90pwxPPC3RhqqZW+LEMQjE3mHNychFJhZUavV328FBUrUBrvOGAAAgAElEQVT7VKmrz51ZcG44OF2+fXqJklrVAGu6mhdfFOonaMt+CBO3wr6TURCWiENOlN74RTPU1VVLk+Ty821OMl932bytXf7xbK3uopq3P4gNQnMPovP4i7eoZ3IiUn+KbSkeRRBfvhIL48ggk+x5/XVp/+wz7+CHTmXMbJhAb44EyJKOFJxwLGRS16yRigsv9MgK6Uek/8s//1lIpfZWco85RtKwsfsKxzMlIVDAC6P0sYhmjra0uDo24f3HAkQahtuMtsTj3w/58Y8D3kaGQYu/DYBKR4/rBp8MsH/70UoIvdoE8N7/pEmeewMuZBqqMKOEE1yYg6kRTktiVdlb14cFl/4CNBVOPyXQaHAwKkqzI5D7PyXDPqYy6L3DYgAeF52cj1QA95vND6Hn8uymLtExXfDWLMAAsUgkoqQT3YgAu8EeentHsDGNhluRfni0FQ4pDYgQOvACAh4HL42XcexDExNgy4k0pTBorURM9Ej4FNJ/+mFp3Yv2grGFQAztOQm+VJQnOKU2erp5RqRN1HXRsFRsbJchbPoQzU1JkOAyOrxRRDEasPpSXMc2JjHi3d/QIOMATbylBri7D244qAfxHNgmxQBevcMB+mfiVrgRjl9/BIDahWci+419mmyauRSmHPUw5QgbzVnWC55dYb0QewqS2FVFYshHBAApV6FIuWLEOWfDBsmCSxojzvMds5nasnlzi7z1VgM0fzynw/r6bEz5PeWUYgAvmV5ZctyQfPZFs7zyRqO0Ic22oWUIkUHv9bhyMZkeETObOd7bkvJ4OeeMUklF33O3QaS+xuemL2Q43PVZx7FJrEPkfgBskaihOBnclOmSluCpDvjOTjssQ45Zm+FEH/e13tTHvfvxfnkG2nOOOXtF5V4pKZsFXQgwLa2AzTptz1RlEvW5HXOjyRwlrQ+lSM+XswzGeIAui7jpdgMyRJeXS/GVVyppex77sn3gYN+9EizPRLAx59OXFMbLunVOArY89wDSjUxadgDuPR7gI1kW7gpFus1W2ky7irdrv2M1lQGESpJqpmb5AL4YcF+L0C/DqewegLIXDnX9VopWz45qHH8TYRPNNhxpiZhxOaJLz/b9EOXVCSQ4biUPaacheJZmBB+CMHbaLJfxzg0QJDcArIgyiCUc68uQSImOj5Vzzl0paTkAXAC0zOho+aB95u7R9zQMwCl0H4wlnCenXgCbLbCzHoGT2QB014rDOiR/BCBET7uEI9ARB40ib5pD6mtSiJjsl7beCdhHI5UM/yk6SIY4mShdLw0h+bYUdJRzj04GCEUGpfNd54A997PvrzjgbBe+271gLdcCpPRUHsP8lgU29Hz60gLw4lrDpsO/JuDlw9k+fc+jLyMg1iv/fuN3Zm7wkFO+L0/87d+dGC81+5rkh7/8owK2ZKUny5sffAGNw2fllUd+g7k+MGMOb2CB8RKAwfubeopAAi+pyRFyzpklsmhRmrLYfOGFKnnjzUa3wcbTTyuUk07CpOpj4eD4m/u2g5XiTM1kW7/50nLJy3LVGfDx1DOH8RoPP7ULkdf3JTPrc6D0EzIMpovWrYBR6FRYCzoiBOrrNDetBftllRxzeK4cf1SB0yKq+qWXpAHRJ61OB6NnFFij2rujRB17nnQEZ83U3zUXl0OgOG1OEey5Pr+349s6hpFitAN6OJ4VRqONQfJF9ZD0D7mPenNhWgk9Cofav6IzMNkg5aNbJWSY0XX/BuMJsIr6AUwkwTI6AREiK+nQaI9Lb7xRkoqK3D7iGKLaG//wBxnTWmXqfCMd7kPLkBK0CccP1NYqRwQSeMFKQ4kaDiOqqC0GiBVO4F5N2jQOLEqXXnGF5JLqHeDy0cZmefpVACoq9objEscemiFnnFA0s8G88++bEQWetQ4Nhu9nJ6Jc+1rHsdmBw8MiarfMbkYUkendPUoKn16h8GYe8uPTEsKkoQ1MkrkRKWZOSSDi5PWpcsL6bLcLOW5yn/q4WT5C2/VkvemueuOigiQn3CJV0MVxRzlns6ZlegMc4N56v8UlgsixYNu2TgiFOm9uDYiWnntGgbS0Tbho6cymKA1J5FS/hE30gaXRKdLbCuZhtCSANeeN9WGi+xdTjDQPZ7Vy0dwL4UWkLjHFKNx2XxZTIdKibELpo2CFDGBRaiK7xM9CPYgEgIfR2GAEqi/9GFpOq5FaSFp+Jxg0zYjQDzJ9yM5e8eVWR8jgQR9XtF6YdoSiZr1YEfVKPhx1EU1dilnrdGo/pR50kGRhrEjFWOQPAFNV1Qktl31SB+c9vbnGl/tXHxOFMffww7ORWlSipAN4Kz3Q4Xj2pb2yfXfvDIg4gpS3+mY423iI7DvOeyjEdoODQuDYFSLfOilf1q72rrWycfJL6Yzo8XhrnU2T0vhGmvR0+bfQXVJkhK5TrsTBotaf9MyWtkGA0dC5sDOPVlTukdKyjzFm2NoH564lcBmj85i2NAD8azdHS+s/wHTZaJs7lO/gU4n1h1E1Nqq/G402VAIR9TCD78zXYeirfOfkk6Xgyy/ntVl0p5c0DmbpCJil2sEuMjsbYGS+xzncbAGYITUAHzyncVqtACYsi8UUFC1VDOb4sC6AbL+UMXXTB6DGWx8YHJqQ+pFWmQxyvs9ECJyH21M+E8xxMy5HHUjLqyeThaAKbZUV5gqeIQrpSfFJMhYcI8mxMTIwCeZmuEFMYQaZDolWqpBsEorME+MhI+1HVy2V4kLfmeHensXx+521ffLwy3UyrEkH5NzTtadW4vZ/Ida2OpkYtbXnGLhS5gIwmpqjgDdnCnaRKAi+0yCgK2OlNEWVIS2d7qC2u1laZJDy7BhoBbqKyF99YSm03uZmxuFrHaiP68Hc9QVSjBStMTclHQGx3917r+R9/vm8+tIC8OJawaYj/Vvr+/Ou1d8JfX8WeHnrw83y2HNvz4jk0tnohAt+qmi8hKkcyR5++k3s1erl1l9dM3Oq5cdcIa8/fqtkwOEoUGUBeAlUTR6g8/zyd/fL1l22CZzRqZjoKHnm3l9LU2un3PKb+8DWGJFVy8vl3358ictEGCjg5Uc3/FLOOLUUTgiztprjCM/efvtn0tyiH9XgJuzGG1ZB1C/J55pxx3pZD5bNhScX+rW41V58bGxa/vTAVmhHbAVt+G1sNvWjjHHQbjAiCqBNk2CKRH7WGslMvhI0NC4BZguBna2PPirt2AAwV1td+uF8sqeufzZaEgJByuNhM22ynSMeNM9fXLcS6QPuI0k+V6QfB5KS+qcHtsm+/bObar3TlBXGSEPrmAxBpb8JTIZOndQTEncqy206FCwxpgFJbNwoE/uqQZ+elAoIPSbCVtifRfEYInDxEPFkzrcjwh0Hp6Bl2IC5o7Yzd37T3XfLQHW115qJAxvlYJyr9auvpArv0lECtVl06FLEgFI+iYWtWqdGuRYjitB0GQAjQFuoAbP+ppsC0g/U51Zo9feDVl/v+u7JcvvFD5dDj8UGfNbt75e/PLRTYTtZgi1Si7bQpQLq8rMNLtotzWB4NLUOK4LV2rKiPFbyINwHPUa/S0p8mFyMtKiSPDA23CzGu/rH5B8ftMjedmfBUF8vWgjnhVU50fIS8ujpIOGuHLMhQ846pUS5j1eQxvXG+7DiVgFadKqprx90AW6KkLKYD/eI/KwIacM9UjvJXeHeJAxRVAIyEeOdctxagySGjssIWFTD+My4C9lXv2aAlVZEr4M0FB0b2wUVD7aLdUmWhCTYwDEroryA0PCHYEVAdwQMFW9ORe7vFfcIZkgigEZaN7MEsi/R9WsV0vAIfHB+7IN+Ugts3zs3b1ZSJrwBUqyDfgAviuA1o/vU0VBSjWx+NHzTYfmpkrQqWYKtZCXOOvPwWQj6GtGXs9avlyzcC5kA3sa1XgAeryKdc8uWLu9uJz40ULYDphWdfHKpZNr7qaev8Zk/2wSWy5sNivOYtgzA7aWuaQQAoGcUlF2Nm6dzvlXmkeXiOP/OyWppCEOwJth9/wmGEO3B0yulpzlEnn67EQy4OdiMqR6EFu5XgGFZgJSIuehHmACc/BEBoD31tgHJxnT5EM1oNiCUC0ZRro4Q6ijazi5ThDQxvWiTs1ZXGtguxW5S1KIx3peA6TIX0IXvcNtjj8mvf//7gGiP6eklKX0DgCbHD6eCF5+AAAB1nDwVsxnW0EF7FcFqj+3RAnaJLJZxzOoEX2gz7a0k495KMTl562vezsPfV9W1y2gMNJXwjhwlGrpg8QnRAFWQIhkcKjlxJRKXDKcjAMfbOpC+Mxwi0wBWpsJixAxBW1NopJKuvqOmX6LRL9bCQlvt9Ki+D86pV1xYLqsOYIrNlqoeeez1ehmxs0djg8bE0LRZOgEsDPchVQ3prgSC2BMjoakWB2fKeKaPe2DzqJ+BWcD9GB/MwWESVLxMOuBU1DwEEV/Vq07FvHzW4Smo3wmXQEdxPp0Tlwd8LaN93xMIYDHg5imlPRqpXNlII735hhsWUo186TBzPMZ0jPf+PMdT+nR46Duz88zo2ASAlpvkd7+8WlYvK5ff/vlxGRkbVyyl65vapbW9Ww5ds1Q+/XKX/PttDyquRglxsfL55t1y43/+VT56/o9gvAYuI2EBePHpFX4zDnrq5Q8QhZmUS799vKK0fP13z0aEuUhu+I+/yDmnHSlrV8KqVlWugyDn3//RJhFR/qHqk+M9ctZJ8fLwQ3crixctS2H79na5HwwJd1aXJbAQ/vGP1/o8uFLr5XcP7pRmjdgl039uubxcstONAXkRDzy+AzZhewEk9ctJx21C/bTqnjcNrBeKWTqi2wSTyksSEEnDBsKajMjqJQBfnN1ceKJN99wj3bBY1e6u6vYPSIci0GYbEIJh7ydHXaRY+rEcvjZdzkXqkj/R0/lWzENP7pJNW3o8MgEy0yJkGFTVYbulKDVeOhAxamhzZimVQgMgLcWAaCjsGfvAMKr+DO4Hzgr6+aCZZqUincHHqBW1XNJA7x8B24WaDDMFi7QyRAqzQH/WKw4wrO2TT7xWURTcGtb86EdKrv2nv/2tkwhbIDeLyo0wrQggzzAjipoSlZGh2Jq60LzxrJWXXy55iLIHulTX9sjfH6ueifKqz78M6X5XXTjrvvXMy3vl1U9aZCc2J2MaPQpFZBDW8tF2UV6eh8DOzqpuLERVjC/0pbKCaGkEJTsJ1tLpsGD3hwV1yBII6B4DAV2DvoAur7+trlee+LhD+lUimb7WH5vnhjKjHI60nr89vEu6PVirkzp949XLoA8wuyF5/e198to7EA4H40fZLG3rgFONM9uF48qKFWmK+Cmt2AsB8LR3jLp1U9O79ysurZAV0LSxYOOoCMdCHJPOXwMAIvrfeAPsGLBaNEwQG9sFm6MsAFaFpNbbgRdzLsa2JOkDe2TSjRChL/XHiHAsGFxxsJ1Wv9tA96W8Y4+VRWecMTNusp7HkXrUiHTGVmw0aB3tKdpJkdMepCxNod6C7KweW7qRvT4iwsSwLEsM2dAtAYXeXTsNhYhwFlI2cpD2aLTrMqjriff10Uf18vbb+6UHjkF+SNO4VHthoRHM0iJZsiTDp/5D0OdZ9N9tu/o86jn0Do7L3gZu0PRBEqWd5hulpCBefnrtctjwemZqNE23yI6g3WIO9SLKO1EqJZE25uIA5pYn36yXHXQc84MJx/mHqUdHrk5DOrB3BhCv+db79UinbFLezYqlYLqUfqQI6TpKLJhplUgx0tLO+W6rxyJl10MJ0ru1wek9cbm+HD0tSmfhbkCaT9Fll4FRNRvU8qVv0Qlw0513yr0ffXTAgBfexxgYYaNkfWoaaxTARmqVeRuzTWYI7QY3zIwt7p7NakHKqVTIIK5Tg7o3+wC+ZAEoyfdXb4nfs4vY9kMQtg0BOAvGXUH6jzUO6UCGKMlHSn1MGphuCDgmIUC2KmS5sg6mhfMdL+4D03O2UU5BN2U3WM0OwHxpOlyRwGqhFbu2nHZ8rpx0bLHXuvOlHXg65lPoiL0K3aiItl1i3faxdLf1Yk6ZBTI5L5uxuCXwwjVuLJhr8ZGuuo161xgDKD+WUiSd6QdJy0SMtHaBeczUTAjwhuN8dLI8eW0KUipEujWpi3y1115Shn7k2Xlyvs9PIH7zffdJF4Jo7gq1x5ZdfbXUIA3pT9AcnK+BwgLjxbWmTcd9TcDLW85z18YtVfLr2x+W7t5+WUXw5ZarwFo0yJMvvidkxNx/x0+Vm7/3sVcUByQOebGGaLn52vNxvO/ZG7602wXgxZda+gYcM4Hc/ssAtjyM3LNg5N+QJvXOk7crd0arrN179suN3zvH6U4Vxss7WMSExfv3BNMDsiJxo5x76U8lG6KzJdDpKMmLkzhEAzjI8vPww1vls8/dq9ifC9eeo44q9vn6H3/VJk++Ta0X56+sX5oA1stsyoPPJ1QdSLbL48/uki1IFRiHVknV3gGALiY54+TtkpwK+0RNobhadkYURfzBNApVQJdo0CpnCgUopy5C9NkmuOgoJmxwvgD40kdLRlWhMPFOZXKefTjFZvoQ2EyP22jV119RAQeg1AM+Kavv68PPmuTZ1xqchA21dcFUiNiYIFBGnV+MkguOuqxpBFCACEoamAElEDg0WEckseETGa+t1hUI5fnToOZfBIaEN6DJgAVeBQQHB+Gk0vLyy06LwEhoRqy+5Ra3dqI12HTuw4TqrYQgGr8aQGUiWCVbHnxQOhA1V5dAbxZ5bi5cubHVphVRWyIe2jWKpaemGEDz3gAR4blEcb09u+P3/3hmt3wC5yK98gOk+1VWpEl794j84+V98hQ2J+4i4kkJNm0fNajW0wcHqzo8KzZyOQDwDAgL1sEli3oxBDdXLk2ekyZUDKJzZx+VIWsANrhrP4zovfoF9DN2gGnmx8aNXf0M2EEfihTAux+CKHO1e20gZhDcCPeuwjxXht97H+6XFxB9bIJF7759rmlKuRBkzFWJdLI+yHyh48TgkHe9Dcf7uvTCCjl4VcZM22DfHIFrmPWtt2QE4MIQWHgjACEGkVYzhii2eaxbrJGg2C9FykiYPcUI9r3jXdkyuB+2196Usz00LOpUJKAvRca5pogeiL5UDCHs0pNOcgFyKUraglSMJgCv4xSutqcTaW+ddri90IqxgoVmY72wPuAwYz/QCvHzhIOyJcq4DO3NPcjHw7mYT8aGOhNAcQZ+sn1SX4HpuTU1AzN6Yr72S73jDIZQ6LgUKW5F3sZPfl9huShaLvosF+012HcG4GRXVesqGB8HdmYxABfHXEiW23VXLFHECPVKv3lANlm2yGSYZ4eX7KkMWRFKXSHnFKO3PmuW1z9tlzEPTDNPdVkGzbmLTsyRJDIYPEQtm/COboeLERltNiFdZ6YLNTCWLU4SA+yGtaVrJEw+eiABYsBI6dOUHNR9LtZsWpDCCNZI0aWXerWM1p6PG8rPEcVnyu2B6Evq61FUtx/9wqIVfEdqSQIYXt7srnmuaVMDUnLavDZ3qxkiskEF0onAFKAaunB7LYUAXzJ0wBet5TL/Trt7su8iwVqJwLgUbXcKovva36FZOLkEei/hSEO1q1hlo13n589qryybXCR54bnKe9xc2yuPftAGXS6rEkir2tsDAVvndKXjiqNkAloraszqoGVJYLtwTPAvjc5rhdgP4Li3/9NPZeMzr8ue7UwjNkMYf8IFSKVJAtmTo1gbs8/HAXwxegFfggBA18WtkP3TqQi8mKGbCLBfHVSBMPFRByXKqkUJUtNA1yjnF1lSYJAfX3ng2S61SPvf89RTHqus8JRTJBwuYjU47j4A9QvAi68tzPfjTCf60JF9P53PR4a+7q8anc+X8PvABeDF76r7n/3iM698iI3OhFwCtktP36Bc/dPb5dn7/lO5iS+21sjzr38sv7nlu043FQjgZanxc1l74nXKebm5oB1qNkQxCcRkwnYvwRAizz5ZJR2IXOtF8GKwYf/ZzWvgrOAbW4WRg98/tAusF1etl1suA+slwz+tlx6Ii/3j6d1wWZldSJJ+thMuDtSH+NbJ9VJUghQhqzO1ORxCa2WIKhYBTGBEWq9Yp4+S0KBTnDbDjLh+ARX1YUSc1aUP6vJ7YDurjiSGFS2RsSUnyui4RVKQW/yzHywXg4cIfiBb3j64sNz98E7Q7jxHIksKIqW2UX/hTHvCkclpacPCo6woQdIGaySkChudHhUzxc1NG7GB4MI4AnWrXZiS5VJ44olSAtcFbgK/+K//kilujFSlEOKC+UceqXv2/Yh2737kEa9pErwOmSS50GxoQorCToh2alMrDsgC10NaUTgWidwATmGTrC0UES4CNTbQpRvR8Fv/thX6Dq4oRQ4AyEMPyZQXPuQGCDaUOLaWlrduxFIqSuIlGUwWdakBqybVGIK0omkwv5z7GQWtCwDq+sKAIgB8ITQc0sGqchdx7UO6xOMfNMnOZv9SizKhOXPxEVlSmGGUN96rl1fecRX+Vj/bt0/Jk6MPdc+G+PCT/fJ/fr8RFp/OOilMEyHbJdJuQ+o4J8ek/8fee4BHdlXZwltSVUmqUizlnGMHqaM7ObVzTjhjGxuDyWDiwJt5Hz+8geEfYDyADcapbQM2xji3bdyOnXOQupWzWjmHyumtfauudOvWraRWu3nf6HwIuVW3bj7n7LP22msx82UUNqaTEpeKYM/8zlvLacsmt86NhW3LkRWPlIANLoACTnxmhvvIpK2NZjbkQ28Gi4bOMQjUmlF2Y4MO0sK1XHiBEw9wMAlMF3/P5qz0JdyYittuo9KtWxWPy/o+A1hAnkb/ngDLzImFibyPMztohkuyPItMF7Gdrjt4c6EOXJULdyMIbkdH+782r+eDexGTkUmGtEo6OpBAoxOw5Q0dR1N81IxJcFnRTTexW1Foc+roqJvlUtcAp6wQSwn44A4kCgbHDaBiu8uJ+dj5OXGUnRXvs3BcV5NG991W7gOAWzGf7rEdoGlN4FrCBHscbSII8qt8QQ0+diucWV6CplyPLC4I1h/Ez2Oh23bftfm0okyvCFozmPGr3x+htm4DrVjWTlVVH3qVF/F+ijFP5WT6Sm/aDFp670kd9dSjXE3WmGdTg3UHC8BLWxIEmouDiMH7u7aOXbuoEWVGDKadrb4kPbYBTDAju/DJWS8oH9Qh8RGM9cLn6XY6Ch4PuByFKO3Jhs20g/rgDOVv6cTjDINozKqrwFiZDm0cwRGIgRUAKjFgnzHAwsAvOwPxbzFZqHS+H37YTjsONpFqC8r/PDEgj81r12bOaUCoAUpvsYHNFu3ud8++30kHWmdQQg4HIzCZJZVKwueJADC2QDB+2sOMKUF5zdc+v8o7eRfqCxziduyE1QmQuRfviBkaQCyqfnpolpohCjwOy3bpI2TmiT4ZWjYQiGb2MusdWuHsycyXeDBW5A5H0WnpKEndTHsnkYDxiPEzSDUGsV7puJKfpqHCFDWlYH0Qif4sBTv5mF8DO3N5ZXqIV7SwzUbwvh565JGAel8pGMvXoEx1989/Lmj/LUZfWmK8+D4v+zXnCHjZvgS8LKz3LH1r7g7c8aX/j373s29hMQO1/xmDUGokAi8HjjXS6+/upp/98OwCL/LHwXRjFvW3AsAwANiIxgQYywYQWLexS5A4yK9elUoPPujNCgn0aHce7qeX3j/tox6/uUYPx5KSkBZn0v139UzSthdPQdXaexHGk8A4tB9OtrjBmK3nD9OmTbuxmJzXrdECvS/IjadlFfqAx3U5yqGhcCcAhPmM9zQCloPQFjHDCUTauORoAAJtXkr6qy+mmZw1QrbtMtCjb7pqcZycAt3nWYNFsMzsBvMgUKso1lLHaZMPC0n6HbbzXFeloq6336LpliZyAEALtcVA3K2qKIF0sagX9lCMdShPWA7xTBbM5cV4DwKJthdeEOydxaZCVn39j39MMQqChAMoHTj2+ONBs/Z8vNKbb6aKyy8nI8Cyvb/4BZlRliFvizEpK4kYxuI62T6ayyHkLXH5ckXWSwwCzM1gvcQGcb8I9f5Lt3uLS2M+6vOycOXk3CjeFTtq3RlMEZ9RU9sYABhlMI4zabXL5oV2k3SRxAnxHchc+3NNqV2RAmqnfzYBlw5ctTmDrtiYE5Ad04j+/pedfTQcQPw50L1ZWxxHd5yfA4ZXtEfT5iQygv4pMzXI7D10z/KA2fS6ugF65NEj1AjrTSmLJTtbR8XFbucvpVZaEEcTYAuF4jQjfv/6q4voUogi23/7W1LJgF9xG7tjgGxXIPN7C5ehRtBIk4oaXmwjYx8EIfGsTQD8rNBIYYaIg0uUQqiLUaFcIhmLMc4kB2pnqy/xMashil2Ecp9Ai8FxCA2zEO8AmDAMwIjMHs7uDx89SjZ8HiGwXpjxMj+OuVByEFuQSsml5+NZK4Pw0uueZuFOgOwzABo1qBePLKoha3olGeAY5a88N9B9SwOb8Prry7EYzA1pDuT5ZT8YX6+/0w772NDHY+k58IKsB7pEk2BelYDlkhAPEWY/7+p1l+XRVVuxcJawSvabj0BMF/NfgNhb7VTTJsdaSgrCzJ01WgG+tNPR5pmAzjKB7uElEAS+7oIcr3JA3v7N91pp+wd9VF3RhbKtHV7lRfx5EjRjlGIAK0CXY4/jp6FXESQoYUYG20dLWiJKRYvwnqoAgobbZpF42PvLX87NF2ezL4nn5gBaOIHSaRayl7YIaLwks7267PqUrskJNysHNeC9DQbqAuq0w8Zek04dAPVHsW9BxJb1oQCqRKamEWF8cQBI4R97chJKg+B8Ce3Dklg3E5tbMDBIfo4Gg5V+/vNdcHWbIkshyvA8ZYalpYmUCbBN3F+GLY3WRrhLjgxgenz/8SP0yTGInfuZHpZlaCgXcyEbNnwHDj6pKaGLJ4fzbnBf70TZWRfcNTnelLIVmZGz78gAjQAgkQro8zklwTpbeq9Yu5HvRTxAIy2YMAy+qBLiSb38fJpJLtKE6/8AACAASURBVKEjvVYannAnTfhWy9kuiUik5YIZXQzB/KNgiOrADispSRJ+cxxXBfmBr9/vZgGerWaB+99eJBwMvb1+D8Fl5RuhlzcIV7vFBDGXgBffW+64/twAL1FvLAEvZ6uP/Y/YLzNc2OLqhcf+be562YN8x4u/FP69/YP9yD6fpm9B80XaFpvx4u9m86Df1DRC01M21ItGUEo8FmgJKorBSonBGCRX6b57qxEw5oX0vKxWG/386XrqlymhM9DzQ2a9hKH1crx+kJ5/qQmMDuWZMQJCf50oAej1ZKJXVM/QVVfsRTAxgkWgBiVGDAYQnFfiKC/Hv00mXxjXKbus92CSna/fHYag61HUmdpZ6NHTlEqO+CP1hZ+hSV2hEFR+56HlVF6yMG2ekG4yNmKtmwPHfRkV0u8X5sRAQNdKpgA0b2ZB3VyJhdrRnTR4eozaYUmKRxhWY0vi6qJ4CNpBuPCii6gCbg3RoIByEyxX//M/yQB1emnLARum/IYbfIKsMSw2Dz36KNnlooAKZ5SLY9WANcPvcN1f/0qnP/5Y8byf3L+fSiE0eCZWg20oO7gfNrhzDYs7ZtskwUZ0FjX7LNQ5V9qA84kCoMQlUFbOXOHfgtinZwFcjPtTBstrMWgSPpcsiHzYQyHUzPN5zSLo+sVjh2nYI2ppRwDaASv0Ifxbg769CmCKyPziIK2+cQxC1cpsKVGEsjAzBmwuG5guTurqmYJzz6yiK1AiFjfLq1IUF5WpiWq6++p8qizyD4By1vp9rmuHVhHMlMJuiDPphrV6unS124aXr49Fh8WMv9IOk3BeP/hKrWADHWh8/P3vD9GJujEy223UiuzjJERN2am5Bk5CcR4RaqXv82MrAvNlBkHzCKy2Q233Z3TSyq5DigEu3ydb3jCpvluOBY2LWt+dpq53jpHDhPctEsLA/B7yYgr3gIWp2Urair5kBhhjA0jIYIwTf5O2WFi7s4CuCiUIwdrZXiyuRBYzFPcvBlr7AMBwKRLbZLMbnRl/G0VfF+ylBZNU1nrxsF5Y5wy6XwmVtRSfXux3ccesTS4tGhgwzul5ifdEBa0RVW4ZUV41WCBZeMfc2j+BGmsAbd2aR5dcUhKy+Po4wLpX3oKWS/3YgkEKPice25dVJYNxMoM+HDyQvf/2Mlq/KkvoP83WNmqJaiMnnM/8dw5oqVhWUH5MbrDXZu7zjw/101u7+nxcW0LdQT7Ydfddm0fZYAzxebZAA+pRsGyLC7tp+QqU5kk0XXifzD6rgftanMwpym6Mp9bHo+nAyW4ygZ0hb1o81xp8N0rCdomrraVSuNOF0k/k++P35Mi2bTTI76enne2+JB6HxUlNCiCuFjplOmiShdIcTli+C05HAAFxvyIAXrp/EGMB1FfDWCAuHexXfTxK+i6jmJQS+ghuQc1gWjgArrDui/gjP14ixrRvIZbLCGH88Xeur77aQB/t6qa0qyZpKsbN0IqDY1xNDdzeJM+wxrIMJUd51ICY97EXTtFxsDcnZv0D81xy9OW7qqmi7OywPE4DLO786COaAWCs5OjGbO9mlLiaMU/PQBDX6mG9JcPgIMbj3CS9Jzw/sO00W0zHV62hqZQVNGvTUD/03FqQgBObnO3C8flyMHxUAGtdyNb0gwUvtry8eMrLS6BvPbAMc3xGKK/LgrYRdNRgitAXQNOP2VKrYKCQhnd3J9guJuihcVuMvrQEvPg+NseN5wh4eS34fLWgl2wRvrRUarQIN/Fs72LHzsO060Ad/eR7D8wdioGYz912Ja1ZWS6AMvfffhWtXoGATtI+LeCFD2nGSudE3bCXJZ0G4mKc+U6GYnpeRgzd/ZlKWlmRhqyZG/0O1D4+1Ecvv98HbQbvzhOO1svOfd0IPjsUBUOlx0aVLp1sngCl371ay8220ufvPUX6lC4BdBHbMlhIJsNCMnA2BcGB5RZQpjfPLXp6uOQFi3qHxI513ONyJKd+a67+PI0CwMkCTfNf4CajOYNAItD93fFJJ73+nrfjinz7eGQvdLDQHRzzny2Nd03RSkc96Y0QKPawUaaxeG+Fna5ceDVYP2FR2Yseups2X77ei7I+BPZKAzRzXJLFHtsXrvnXf6UEWEpLG1tsHvzNb4SFVLCWjhr11RwEI/M4BIDsyO9+J4iTKrU/wfo5F6DMmQAvDViY3oCsHbe5dwgvGDMFmFEgMAv4hWP9JGzDb74G2T0bFoHC9uLLiN9RcE/JQWkU16pH4fzZ3pZ/c819JBaIwm/+O/83Z1YlL/Jcj+IFHwM8nu14W/5p6pikg9BFmYIgbPewHcAKgkreFOeTCv2WDLyb4gkOj5moH1okTkgjOggiffjtBKLAv1UaNV1zcQ6NgHlitro7kmitbkBNOO/PcwrCZ7zMLStOFMR25wAlHGhtZSLdfEke+p5/AcoZzobDKvpIp8GLrRPsHRA/T0HJ5GcvzKaq/Pma/pffbKL3dw/6JXvwLXXbwAcWCWxFidWjjx2dc7Cxo5+0dE/ivVNRWVlKSNnZUjiBTU/BQUpWoqV0fSU0TGv3v4qyrkgqKYZopWystUVMkvN7+eRIQg76RQi91rXgGpmqWIVyUmU9MAEU5DIlBOUMxHBG1YL3koGKWFD64wC8+PXYlp3kYgS4/ixwPZ2LVn/5y5RdA2emEBoH6+xi1ocFDJchjaLcaJYFGfGcpNbSwjuKdzAqQUuptVtJgz4obbyfwcEZgC4zmA+DOAJhYaJJB0BRupoMcYXInpNPGRC/X9XVKXTzzRWUkzP/Xga7pINH+ugNsFzCAeqU9pmHrPWdt1QAkNDTAWTM//oGGFEyMW2l7z384DJKKY6kQ3SEbKrA96HEUkjLNJUh9QHpsTr7puiFdzohzh1YNybQvfrcdfm0rCiR/vupOkrWN1BV5fvC85a3ovw4ocRIOu/bDAnU9VQstR7voG4/sUwl2C6pEjaIALpASJet1RfS+gH8H4flrRT0POt9yXOiLEA9jv4BKrPXqTMTJRnzkE88x3MY7ovww4Alxg+e59RJNgAr/Sj9gQBrIkrxkjWkRVmKFuUpKtRlsQMSi1o7nckU5fwKrJhT6fcmK3WEwA7KBe3k60DP40Ng4Cjd/6GhGfrPX+5HH7eS9qIRlBy534Vl0PXRS8pmNWBoVQ2toKeeaUWCwkJGxLknhzEeKiUg0IfPW6Gn33y5JiCbcyHvAzu4tUK/axyxC7NmlZog+tw8Csak+1qsAEXYkZLjgRSUGSnFslGYl6Lzi2mqcANpYZFtwRw/AJe9um7j3BglsF1M0HaR6BVW5caSAToyNdUJdPSUr3NfBZik//bwWlq5cl6HbCHXHeg73dDmq4dGX6C5KA/lqCtRltqOeK4Jcbk4wS9GX1oCXnyfjuOWcwS8/H0JeFns/vU/an/sPz4xOUtfe+Cmuetu7+6n7//0DyhNscINpwbOAnf63JNPE3jhg/f3T1Nnp++AK55YQb6OKsr1gkYMi6oWZMdRKaxk46BiKZ+4zdAM+flT9agx957oWWfmR/dXIRAKXN/+1j9g5fphYF0G6Q2zILCoh/Ah5iUwTZIoGxTRTRuOUErqUY/QIjRuMKmvWoYa4pjgWV0naoFVETchY+heLDZAFLYLk6Q0aOrA4qt/yLvkyBWtI81V99OIMZquuSSXrrk0NPHEcDpEa8c4/eE5LC4C6LpwLFlSgMCyW7kMiZ9D2sRJiu8+QKVZ0T41/2aLHYvLKZpiW9wg458aWeDolefRWM46MiGouQ6lVpfD4YlBJ4GJAs2VMWSlpS0D5QRV99zj9d6YwSo6BF2dKbBHgrUUWFCvgRsSL55YiI7p22zHq9QSkBn5zd//ToXIjp8J8NKKY16JoFBJtJRF/ywKei4CGIL7YFcIrOJRpsQCpuHSqueuUYoqesAeDsjYteFIwxhKGm1uYTz+TPjFwXSEYAXOdeH8R0FcedqKrDrYO8JG2Dt+a1E+xiVkJojnshg3qRFVI/h2IcNpgkbMlAHBNYAalwekAcVMYFgwCJTJGhIeMKi2So/3EEE4B9N+WDsT0xCzRgnPOGcd+RicfUYG1YX9MQjE2VU+jvATwb/nP+dti7N0dB3Kl/SJujmgqrFljP78aotbcNoDOs39xiWyrtHFeEdvQEmgnN4uZzD8+c8nIEA+NMdsYLApAlbcGmQULbbQg5JijJ8mlAENDPlnvsSp7HTpyVdJPeAWs0xLjaEyCB2L1G7B8efGNJrOmaXGl47B0tzNeHM6EkkVuSysdymhrIyqUKbHJW8TsGOeRv8RdFKQHefMq2BrLVrCSTrWYgS4AYEXHIv7zGpkNTPBJgunTeIaulDWeAosRSPESx3GWQ/rxb0XFwa+iJRY0qQUUmr1qrnxh8uKulBCOo2+EEJVltcpaRg8LV5JprQqjH8xQhlSenos3XhjGfRcskOm5U9Bo+e17S106PiIl4V5ONfP23Lm+vKtmHsuL/HSQ9m+o53+8cnpgCLs/P0EVNue/xDGjqTA5U3ptlRaF7kKxwtetqV0DUYs/F56r42ONIJhGYZ2jXRfuig71Zafoty8j9GnfftVAhgPyytTvOY3AXR5IoYmT3XTCZRx2BTGpWS8BFUSu+N4gBMspBvMgtnfs2Ltjj2/+hXNsu35p9yXxMPNgHFqFudIXDPPTQyq6CoqiC15NdBV0Up1VvBes84KA7M6/F1IBGDsNVq2U1T0BxhrAoNyDnshRUd8icZdGvo9WGSDsHYO1pYDLP0idPkWKj6/bdtR2n9gmNI3GslS5C45SgHLrRLvgBijMmO5e7+Det+Nh+4iAkZY94zgupoGfEHAAuiR5UMb6vzKJLrjguwFn5f0umeRVGp7/30agF6VA2U1gRrrttQ3jkortMmCIDcCsawGiRFp47k9JicP+PsmmogvRJ9yf1qRFUXbP+mnQegriWObA/8xztounsRoFjTREuCKl4AEhh0g/iBcjqSNx5TzV+nJbnYBeEnF2FZOWdBrDJaADfa8pZ9z0m0v7NVtAZjO8XDj2gjTEZ4Hd/3sZ4IOjtgWY15aAl58n5jj1tBjnHCed7Bto/62BLwEu0dLn5+FO/BpAy88mDXANnZ83H8WagV0HJJQK8+NF+8aUJkLs7RUDuE6BmKKoaeiAeLOA/KOfb30GpTj5VaSgbRerFYHvfR6I+05MBTQGlnpdquQnZs1YvKB1gg3jqfW1LZQUTFbEbszCszWWVaejAk0eI2qw15AKufnMMG5dV+OgQLZD+V0Fjzjxtn/OkyKUpcj4YMkUFsvvovGDVEQ2l1JRflulsRitJlZ1nU5Tj0ykU/5vitLdQBdUFagEBsl2EcpoXsf2fs6aDlEVGNlwqDivjhAaUVpyfi0zW8CgjVOrCsvofHobG/1f9Db77oyjxwTY3QUZUbS+nLOnq38zncE/Rex8bt34A9/oFEIaAZr7JK0Hg5GWgSK3E698QZ1bt+u+DUOLHNR0vNjaMmUnGGpES8Wb8H1TilQtqNQL8/ThBJVWIPA1cqlD7IVHWcTM5BFFUuygl13KJ/3Ds5CjM8oZLKmZ8BsUJi7GFBJSpivDWfHhIlJsF4855eMUkNeCBk4s8avM0qIYmIQpEuEHiawSDRDyE8JlIvTAXxJA2AAtx8GZQMBSwMTJuoegX4A4l8+VQEc4uN4gCLhBDzAEf9RCAEkAFGOPpryWARQzFrjMwss1ZpaJ7HA5KBa+MIcqCTuWwsmXyVA5GhkcUWmkLgQEf7NugT4zU4sBw4Nks3JYA9ngBlgiqIc0K4rqtLpwDHYbAOcdANCbtBo/scNFM2/5ABSsAhwOuw04hE3FBhDAtCE7fCzZraR9I0nBBvPCKbzY4NksJRKwXzhkgdDWSb1Zg1S/67D2A+D2tiQ752zDMDLvDaLAJjwfRLfOfwWXgX85gUUl+hVodxNLcveC2VM7KAE8GWqD+Ug+JnGYpFtaZlN5kLGfDEC3GDAC5+qGqWKa77+dUoFOBluGwTj5SB0lGbZAWpsENbu86LeLpREREBTIqF0DcWmZQhlRYOw/w5HuFbpfFSwrdYUL6PKyzbTFXdcRIkAAkMBVXnsO4GS2lfegsUt2Gdn0gqxULztplLouSiXub7wSiPtOjQc0Io673KUNaROwQUNSQpck1LTObS0ybmOtOrwbJSV9vXRwT56c2c/WEOBBeLl3x1DOVZ1yX5aWXWU0kD04rmO9TDEJpQY4RqkpYCWaYAuj6vJ0tpHHSzYrFBixEPGSjyTeE+MEI8xuuzBB4V+s9DW9M471Pb66z5zwNnsSwLLjcdF/o0fThgY0Zc1uI5oJCwYDNfgh5mq1VjMxmI+FcfRwO8txPjNz2LsAIMmSLPbVsGG+17qRSzxOH4mQ2CzbHHa6XbEkAvREWlsHKYnEB+ZMXdl3DhJM7HukqM1azLmRHGboW02jDlH25hDo03RQl+IAOulCSzOYYkQegbA0zKJfteXLs+hGvx7oWCDBYml9g8/FPTuhNJ1BVBbfjtbWfgXeoLSJrDQU2PBZMac7eky0Zlg3y3fRJPJ5UKyZK4PYCLhGE6LfmyEYP3wMMeELrBm4JDHSTW0OIjxFiWraBT3ZF1tEh2pR/JVFjfkZ8dSBfTMzJ4+qsb9uvrqYrr44kLB6j2UcS7Qq8JzzkGUl7PTl7/GjKvzvvtdSkYM1rJjB7UgmSaNqRajLy0BL75333HHOQJeXlwCXoKNr0ufn4U78GkDL3wJLMxVh5Ijf0EouxythK6BEnDB9eSYL6kSIEwZ6L0ZWBT9Bba1I5N2r4GZt/nR/dVgpXjzD6aQddz2wklY+/m3ffV3m1evTKFbryunJ1Gz2w5nA2krKRxA5vFjrGvcoqu5AIoKcueDjECPzuXUY7FxH7RvCoUM8EFQhUch6CU2fyVHkdkl5Nh4CyUnxdJ3v1Tj1y453Nfm6b/UQ9fFVzxWup+iPPekbEJ2QtrUEXZKH68nR+MB2CQaaHl5knB+wVobJu5hKOpLQRwNhPA0q7bQaEYtmeEWoNQKcJ8vV9fR1O5PvJ5/YlUV1WJBJc3in2B9FtQ5B2sMYpyHIDERGTpuo2DHHIQ1pxLgwZ/nXXaZUHrw21deOWOrQV4s3ofM5yDAISVb22iUFVkURHYZ/GF6uk2iEyRepw7XkQJGzpkGLsxQ6oA2zzhENMW1thscUV7MJCdqIHDLmjTuSXUamTUbENJ4iCzPQE/JKqFds34P05qlWgc2gDX87stjR17r6wHcrENWLCHe/7vFop+dAImGA4B6gd6FKHYNQvljRjIW0bKMdXPbOCjk/gWnefMalIDEB9BmEY/dAXZZX5/3eMJrtRXLU7GwBjUb42UT6u9NCEiF0/Ccy3wpmhtAcWNJbkCJBb9Zd0TItgpfcf89iUyUNHraLQwrgE0MnOAjLJrYNUmXCWH2aNiG2kbdwT/uAW/jIoBb5NYxmCvxwt8FlhEDSPx3z+JLBd2hTJToJSJ4FQAtPgERlPFcNG/PQKIaizMVfvj9tYMBw4K9Jtg2/wcEx3MQ+J4Je6wD5/D5DRvmQGx/z5r71FqMFRxsh9ta4YrR/fzzZAI7yQrV+OmhUbKhfzpYSROsFzvKIWYSS2gKYP1iNK02igoLk1HiqqV4gMO5mzdTNsYLFg/3t1ibheXzW/9oo91INNhgbbvQpkYfveqyfLrkwoKgjM7HnztOR09OKh4qY80sWYtGkPXm7LdaEKSVz/UR8AneZF9HqRIh+oWet/i99t5JevHdLuoZCg14Yh2e4txdcCqCwDKYLvwmpyNrrwETQIxd2CY7L2eeWWudSKbOJ6LI2g5AEZPZSbABHQqPPgPXXoI+wM8sHpbi5ShnPZPxeQYMB3ZeUSonWYzFYgeAoS/AGZD1xLh0VXACAkMlGnMlC2Wz3XKsh73S9dprNAG2hdfAjXEgF2yeTKl+WZAH6nKZyGj9IxhAwdmpDstVFKu5klogHPc4hjxzCMKsNwF8uQSMjnBBDgYxf/Ob/dTQOElxOXbSbR0jo9OKUj8d+mYS9fbNQA8QLDicR6Qd4M6efBofcfc7GzTQ6lAKyq5/SUkaqi73ZkrpAHj86KYClOuGJ7DLYHY7YpseiOeaIa7McWQozYgSrRMn0Rdlm5egbDUbbn3tvZjvHTEUWXshTaUt8wEu+dWemDJQfbt7/qqEKxPPLe2dk9QHprbYT1YXxdLAaSPlZSFGQd8eBAAjbewOdUFtCtkUgNEsxHi33VZJFRXpCwLK3NOPi5pFYDLAjVmOMr9CzBnMjN717//uwzB+CtpJZ5pcWwJefB+A467FmR9Deeel20T9ZeHzYbjHCnf7JY2XcO/Y/0PbnwvghW9PXx9KjrogpOYnAZWPTHZ+vtveL1BjgMWGUqq2PpOgCh8Hodt4/HAmauvaNLrtiqK5ibUHWcdtAE36BoOp5vse8brL4cZwaYkw8PejRv+3T9dhUehd4pSaMksb139CMdpOYQdVpUnQovBdtCleDwI0l/U+gEo1QsnIASw8piXlMGzpzJOVvERBVb6azNWX0BUX5dOlF+SHHUTIz+WDnV30CoAsZqL4a8mw+1UhGzEy4U11SbL0UXzXfkEp3okFdkGujvKyA4sNS4/RP2ygHmSFQSagmHzQWMFymYhKC1iFFB9ppazdT1Op3uXFfKj80pcoGwsvsTVjEdcGYESprEF6DpxxXPO1r1GGp/yAAxpWv5+EfotS08EWNwOuDR0oE3sSTKVSaM2cyWJRzNJPwbpwsq3N55B8fqyjoRRgM2DEFFr5NXJGMh2ATswZOByNAQDpQEDJjlrSJjBZpuazYvJgKgVMikhPxlcbEyEAKZMz88CNdHsdABkWq5ayXhis4XIBEehRY9GTlghQAafBbgtVYJQoBc5mLJpaEfxOsmD2AubWGIiVliPgS1QATrj/d/QgsA5QL1IKYDgzw7+VtXjdrHt1/LjvglgPQLmqKnXu2mZR2sVgj9HDEAplitEiyxiJGzXrEXWMBiiaPd5JESYFwAjjmh3VkfAlo+h4E7LY3jfN5WQQOTDzgEdqLodj1yK5tolwvuJYLoIxkn/PXY/nsycgfFgC8PlM+lLLsmV0N0r3uEyHWUcCcOrnmbGDxTow3BJYhyaMZgNIdAzjxSTYLy7XBLkABJrA0GAmmNEMVpjRTtbIFDIlFfiwMsM4DOadCCzsYNOM8VTNk56kRQLAygEAk4sFQxLGIynY3NQySi+91oI5K/w5T3qMYjhn3XZTGRXkhZaN5z772LZj1Ao9JWlLLLSSZu0grMrn585UfQxVoHRX2o9XmKuoOKYwnFsU0rZu16MOOtYcvPSoMHs3rLH3+pQXMXCcjOQQswJWSPqoeSyJuv8YQdYu1nwCsxdz4ISCtgvz02oxKMWiz8WvXUsl7F6EZ7jQxsc6+uyzNACdOKX23KlTlL9nzxn1pUmIy/8WGmoa9COBMSiCtgoHNECItAnlHC5ZiYsG7+ayH/0orMWz3TFEFufjiDfm2WTK9wkAl/ke0saspWNmC20DC1CpvEv+3QfB6Fu1ADbF3r099NeXGgV2RuYWJB8KxwA8u6gQzosdPTNeDkbRo4lkPJA6B4IbwAZthiYei8SLIvTS81qJctEvXpEfUiKNnz27r3UAdDHCIVMuaB7sneqEBfvpfm/tF8EiuzadouMQv114ITVpyumTU+xY6TuR2mxWoS8JzE9hjOekaBz1IEEzAMF9CxirRdDmcUCIlzWt1nrYLvJhuDhXiyRHYCe3Cy/Mo2vgWBqPMTZcsIz1+Q5Dny8QIJWF0vRVntL0pnffpbZXX/VcE0rm0D8diAWfRoxXAh2jM5mXnEjq/frXvw72aP5Hfe747DkCXv60gODwU3oyS8DLp3Sjz8VhzhXwwhPGqVPDNOER9JJfO8fktbVpoPAGF5mLwOKiBbXzg3BV8SRpsWBSIzsVTT96oIJqKtOpCXoMz/+tGVoT4VmZ8ELvvjvKMGHkeIFAR04M0HMvt/pk+2Ni7LRlw2FkJI8LInC10HvRaUMPqly2a6D7cgmZUFfK4IsZ9HturI9RjxItsTRDer/Uqy6m2by19L0vraScbGXhy1DerTZk3tm5IZA4It9fZru0984v3jTITKWPHCV7Wz2Zp92BdgoE8SqhGxHuBDkNgdWh/A3Upa2Gwn7wQbFgso7su94B2IB6+eJ40qO8hcuE1iLAE2u4T2NRVAcxNSXdFK/7gour/uxnqRiLGLG1fvABNf/tb4oLNgY0ViBT2fTyy4J152JkFkXghQGfQdhzskOMvHGG3ooFn3zhz+ejQumEbcZNfZY2dpRJQ519MCBT/j0+RhcAlwGwO5RKynj7KQZHWChU4XFxRluLhUoS6rpnwb6YmbXRNH6UQQtmvXi0YTwnwsHO+IRZyJzFI9ufiH05JAFgJcrYUpH9l14XCze3AHSR0qFDef/FbRJwnHIscmM1viwrBkDqm8bm6taV9qu0kPR3/G5oOPX04nlJ7h2PfSzWmJzsDXSwm1Rza3jgC5d8cTWDAZTvXEMfqSd9Hcqc0OKxImNrZicigFpqjRmW91zy5AmGXMxaQimkQsmEeF1cNhWfny+wXMJ9x5TuzWL1pdvB9GI9JxVKHBIxLrDGBLvFsDuRvPH5rweIwpn7cNo46Oh1COotA514jNN4Vx3kUMWSDUIm00k6Gusyw9FGR0YVHO2CD2leh+Z3IQMLklywJ2NjA+uGMWtIjz6egwWEvrKaPvikh96HZbpVUhYQznXxtswwvdrDcomODq5bJt0/O6U8+kwd9Xu0HGKTHZR40RAZFOyCc+EiVIDSOp4v8qw5VKtaHvbcEc61vbML9+bAIMpZlB9IRcERAKcfYrGlzI6JhkbIeSiJzkhzl3qZx5Oo8/cusve4BdtH8Q60sASswnoiH9mmPO4vSAyUPvDAGYEufKwBACvHUEKrtOiOAlCyDfNfHkpPzmSx2LtlCz2PgR3E1QAAIABJREFU5IUmRNHf1r/8haZgW+zV+NniejPA8AmnWe3NZI94BoCNsjisuC8nWLERtm8gAVdIe9C/X4zAXBEkcccg2NcBvpSDXRtO4/nr//yfT+g0En5RGhdl3TBFkxr0fYwAHHfIH3tsQw6NNbtLjhKTIHAPltS42b95xN3nZ9Dm6tSAIBWDCe1gFk0hQaPEjg12PczoOsZmF7I4qxCW8GuvvZBK4QiZmO127/sT3M/21U94gccslV/fjjJxmQ29ESVGcZh3OKmaCOOFOKcNZZYmyoZzoRkAzbCnBFY8Px5jLlqTQmZougVriUi23HprOdYGWSEBU7w/E+KhfShF51JWf42B903f/76gRcZOdruh7WKHrh+fEZdvTaP0m2OuN7GvStzvM+lLS4wX36fguO8cAS/PhjkhB3tBF/HzJeBlEW/mP9uuzhXwwvfBiOwTlxz5oz/HJ6hBt2d6YWB3I96XwWDCJDDrg8rXlMeRFouIWSzeEpGlikbmUIXJmI+phOBLn08ijv/Fe6pRy67sKvL6u60QEuz3qWXnuX7dqiYqKN4Dxx8brajU+2QpA70HTnst1Ppvh85HHx15/PE5m+kRBLJtECYWxcqk+1BvuYmSl9fQ1+5fgfKO8AJk3k+oui7VZXHUhCymWP6hN/eSrm03zfYjy+f5Y0xMJGriQUNWWLgGuu40BKKVN91EZlU8JnrYjPYGztKyLXn2nmfJjEyP2IpB9z3/m5+nQtCiuY1ikmQHI39lQtLzKbzySlqO44stmBAbB5BcxtPx1lsCMLNYi0UujxCeCQKFcQWmDZd0sGOR1H5cPGdeWNqQaRQ1gsS/8+IgbflyQcQw1GYy26kNVONJ1KUHYo1wSQ+DI6yhIm86lF9kolacQRDv8iRl0UQNFjT6JG8nBbZsBpmNuNRBCrrwsWKQda5FSY7IAhgGo6adtTQCazIq3gJhkQvr56LMOIAVvmMO6y2xCKHUpUG+IwYsamCnHcq7zwv0Y7C2FmvaxX0l8Li3wtueVPxMYL6gJt/ITJ4QG59TumOS1Kchuil9SLhgOz4zG6exaENGMi6BYnRsaY+SJoAuc+CLk1lr7FKlHBypUeaih5ZSjEcPKcTTCrjZYvalabDHJjzsMe43MWDlcJmOGllMXiRJF6xJEANe+5WvgLUYuq4IW9L3/uQnVP/Wu9CZ6kdXmQf3bfmZNKEtQOYXosekpslxK8q4QgP/E1GqV4RFEOuHhANmzQCgOz2jIWPmcjKmlJHBrl5QiVERMtd33lxOebm+rlehPuPOnglBpH0GY0nWZRDjjvFf4ltakEBVKTm0MWItynnCn8NCPSdxuwb0o5d3dFE/EjZSQGxZSSOlp72F+MB/SVI8AGXWlirKhnuVOo+6nwDTpXNA2DWDxfXoZ7MKbJdoHKgG3SgFc0fp5z4nlNudSXMADd+NRSWL2iq1tPPOo5+jTLZ0EbTH/g2aabVITISSTJmFblMz665JXBr5/GIxTlRiP+Fqq5htuyG6/hqO7V80nPfvtKdRlOvr0JhJoneMJnozhPeILb0fdjkoB8yXcNo777TQ9rc7hL4VX2Aj+9ohmjCbILQLRoZsrIyyQdNrbz5NAfd++KEVKIVS0VM7TpPJT3KJy1z/1y2FlJPmu8RnXSx2KhoBuzaYcG6g6+mF61d3LzM33VsxeK4F+HzL9z5LVZvX+4w5z77RAlt0LqN0ay/2DMxQu8Q6Wrj/2NmYkChxYh6NoQuWJ5PJCFZO7xTlpKto39EJL40k/k5pnpYK0wOzXeTXwUlZFhZPh917oHeJE1hH2V4drCB/jRnEa1hkHeXpvH0D4rm2t98WjBQMmDsYgOHGsdV2xFalKCtfAl7C6SnBt3Xcf46Al2eWgJfgT2dpi0W/A4sBvNQk7qPzrvzGgs6tD4N/R+e034VdMaxjs7L816+LBwW+Tg0dE4LWi9h4ErBBl6IgXY0yHXewGwskPg4Z7TQsblKxyNKw1gD6vByIYQHBz99VjYHd/xDLC7HHnz9BJxqUg8li6L6sqv0ImTMjlSGADiVgEc/d5cyDr999NFzXRaeQPRJtprncYATsA6XhIvqKe+ii686jCzfO081DeSicvXniT3UQPJsIuHlJgZZ6kbnAGg1OAjaB5WJtPkqWmflMFCfFV1YmQ3sj9AwSlwJU3HIL5YJ2LU6inDX589ttAo1VaUHPJ5o920ZRO1/DQmb+mXNmu+zbP6DrthajPneMDsPBiGueg7V0HHsdxA3FBU6wCZtr3VfBjvYY6Ndi8LOYi0UhiEEQMIRyC6uCbgvX1lsVyop4caxG1kZJtT8GTJk0lF6E8h5yaVE7LG8Fx54QGi/2DCirkC5gEsFycYCJxK5HQgmRJxh1a7fMC+3Kd8/i1G6NEjgfAcQrQV/sZQDIY+Uu3z6fS9qQQewdMVIvRLv9lS8GuoxAei7i99q7JuAwxkwJ//dkBd79JOiyhNJYcLWrC6Vhst1VQawzNVXndxfMfGnFODAbIvgS67JQ7ngXRSKza/NQwtl5xxblBEMNOhzoYFYtyqJiXQCwJH0Z4yK7WkRFovxGSSAUz1MLq3Z2zRK0XhaxLXZfGgPrZVYC0PKpMjssNjVVAE9ZADiKtWywkOXSwdUYC0JdHLLYZsszL5P68HtkaNoPxhDfQ/dDdak1NAux4tP9BRSZlUuO3Epy9DaRdWyUrEgWKDUWlSwoSATTJfi8J/0+jxd9WAz1nJ6dA8Y1WoCYJbU4LvQZIhMFnaBgjct0r78SpasXFYacVQ60z4PHBuiDsYM0Hj8m2MH7a2qbhm5NvYBWVeSHBTQFu55AnzNb76X3Oqi+DWMdFsE15S2Ukf4GGHz+9Zuk4LB1XE/mv0dTlmVa0KnhMW4AgGqHoIvk20oxOJUBDGHLaHZlO9MmCICihFZJRDUWfZMZL48gflisEtiyz3yGKqBpFqxxTNH23HM0hdIMr4bFfQGcAtOgGRNuM1r+Diey3bjHQZyObBUUHfklYZ57CWWVn4QAvqTifL8JBkdKGEDY5KSJfv4fe2gK81L/+CwlrjFQZPkMxSOujBaE4r2bBiVH12asp43r3O/333Z104cnfUVmxW8VwG3uuzcWCs6N3Ixg1bbheffDDllIuoRLn5OcDgMjx+uH5saD2HSM8RUbqOzCTXTnZ5b5jRGeebWZDkLbxghv+8NNvnMXx23TSA7wqa0siaNagLdc4ZmVrkHcaqHGlnEaHUXZkgdw4rHu4jWpZPKUw4b7Tlx3XQlt3criu76up7yvTpTYncJ7GKiV3Xor5aNPDgFQ6YMzZuNLL/lou/Dz0qP8/MXW1jPuS0uMF9+n4XjwHAEvT4YW34b7Xi7G9kuMl8W4i/+k+/gG6todf3yK0qNDXyhLL2XYYqahTRfSnd/8ObVDj7V/lAU0CaKCob3QPEHXYwLgyUupcW17LepNtcguBWsGTAb17TMCk4UnFtaH4NrT8lwIemH3SiKgIhCTjslSHw8gBkh+Ldgat91QIdSSBmtTsKl95ImjWJApZ8fSoPty3vpdtHLZCKWnSpxRgu0Yn7tccdB9+Tx17mikrn/8Q8jMWkAPPdkIMTcu7ZA1V5SG4m58kB56aDOCx8BW2tKvvr+zk155p9tvKQlvm5HKtrZwDJhxkN46QLFtu8jYe9qnZKQYgsfZYAyElKHFZJYBYUi2m42DUJ9S+/uODvrk6KgQFEsbO13lHn+ZzO2tXn+POm8rDeSsp4r0CKrofpusg/1BzyUBmhTrOcst0UDpg7jtcYgc+6sJrrj9drIA+OiCYJvYFnuxyPudRcnZmJIKPwMsYBoolRVxZoZ1gtghRtr4maQgq8O2nf4ag4k9EKTth55QCIYIc7txYkExBnFkLgliW8ik+CjBiYefG+MtXEKklrh8zcDymMtflBZivPBjod18lB/kZ+qw+IsC6GKGi9C4YuaezXrikGWc9lM2EKyr6QDulMEuOj7AGMNss9aOKQFI8tfy4ciQj5KQUN59XiQfOzYE5or3M4pDJr22NiPoPoxGGzRfxuZcI/ydEwPSeTM9FIV3le8ra05aAKKYrUayezQYnAAHTDE60upmsFjwHlfscJbRxqA8R64rAqAlEYBLPBZ3oVxvsGcg/3yx+xKz8UYRNBshQipvQoke+r4WIAyX5DHbJQuB+Mo77wxo7co2rNu3N9HBgwNguljpmtPv0Ew3SkynGnGI+ftoy06hoagCOPmhJA6uIOPZayl2uod0U8iW98N+d5qFON3vVVpaLBUWQrwUC4lw2gzcRDqgmTbN7DSFFoXnp8qBRllZLVgnOQLLSgnQLoK22l2fKafcnMWzcW2xtdGOgWPUPQTtC3/9B+Cs9nghjfeq6DtfXEZFBf7HqHDuS6jbfnigD+f3IcoW36KpWaPfNa0whiZhLOPyvMkUGngagsrNp8FshYMZBElVCCBO4FFaFNhhOsQ6F2zZTGUQmQ0F/A527rNIKOz5xS8UQXZ+p9PAqhnBQvIJLD4XC3hhjTF2fUkpLAx2ekKJX9tvf+vDetFiAVuBuDNUYHP+QHCUND8DkLQu6LEd1vMpRnULSr0i6CmThU6EYDOdhzns60gcxYUBiL3wQh29+Y92Oo7kmwYkuc1fdZBJZ0SZKABPGfSSi/nhhozNVBidJ4yZRrDAHnm9lbrBuPLXrkUJzqVV8dT58ceCUxEneeRs1qA3Q2GDAdYp654mdVIyaSrX0VhCObR01PTwl2uorETZrYx3wyXv//XcCXrpg/45zRpx9wLbZRxsFwwsBZnoI3gHTSYXXbommQrhWNTY4Qaap2Fw0Quha475S/OQNIELn8WPQH8o15YOtsydd1ZReXmq13g9Aa3BA9DnE+c5r32xsDUALR1KY3ncH2X2EMDWcTDHZmR27Pw9TnSlQzPsaTBnzrQvLQEvvk/V8cVzBLz8MbR1aijv4WJvswS8LPYd/SfaHzNeKuHMMG8SGt7JMUdiF4Q7H966lZIuuIBi1myizjEndbOyO1TN2fnGirpWf/oQ4kB88tSoTxmBeCas/r5sWVrQYIWFJBvaJ6gPdpkMiIiK6lrUKZTlxsKFJDBNlWOlYgSeK2BTXAHacyEWY/nCj1sg1l+w1N41To89e8rvIsit+3KULjq/C5l/d1YsnOa03Er1zzfTCES9eNIdgghtRw/qiXFf5S1Cl4S68S/T5+5bH3DRIH6vBWgZ67rIRVOl+1VBNC4zPYZGh6YpfQw2ig1guihka8PRdWGWSxnKegqwwAkWhH58qJ9e/+Q0ApX56023APz55EWyIagSWyQWK6Zrv0QzVhWln3qDbL0dVFUU2G44BrW9G775TYrD5Cs2M0CLvQhojRAJVGp6sEaqb7uNDvzyl14uQou9WORjB2K9CGVFOFcfcCgA60WDBWYG+qvSPWfhyXbojUx7LCDDeUd5W8528QKXGfa8DylwI7eX5iCNy5M4kJM3dg0pg8BgVam3cC7bXg4hWyZltEQAgJsEuMoBNovtyoPdYNfAgGsxgzsBrN9NEMBlsJPr0/011rJZAcA22Lssfn8QgW9bO3R6ZLusqECAF4BlJz2+GYF7c+soFtv+M8AZ1jHSjaEEghe8AF4cYPxZZlGuCKBAaPibMRbASrQDmVVvIVRWSjQaE/AcUf6FhYQKz4VRNA5CubSIhTbPVjsrfQlj52hzM5nG/Du28cJSjX6VgIC8EJl9FltUezLO4rVysmDfvl567z1YM2OOE9/zGms7lXXtAbPmMEVYJABPlJqmS3Pp9GCu4B7iuvQu6jez/lUE6VxTlDjbTtFj7QRDKUoGEzOc+YGB0tP90/iZL/8M9kzUqXAMLFtFptQyMkJR2Yr3mqek668qpMsuKlgUlot4DgP2ITpKJ8iucgji0CNYmCkl6rVt2XCG0wplu3rM99/+4gpKS10ooT/YHfD93GT9gCZmX6YjjYMAXpTFv/lb3M91AGhtM3oaeCqKphpPz+2Mk0RJmG/GBHt732Osh6PPhvs/F/IYEegq+B08AkHdQT+CugnQNmJGpBlA42L3JS2soTd8+9ukDVJaKDjJIHkxC40ZaWMtoiJoKemRBAi3OZ0GMtqeQJlgR9CvOsy3guG8BY5DTvoDmM/tIbDylmHbhzCniPpwwQ7y1HPH6LGn61FO4x7Ic5dHUvFNBgh6R6LciRVk3E2PxAMLwaPQkTbZ1lNCtPvdPgWNryd39MC9yfdIkSh/ShmopzXWJtIYYEQRolNRsHMWhJ97zGTJX0NTsIaetbqZV2XFCfTwV9YEBMRGxk30y+dO0d4TSAjJtF0MmP9nwHZJjFNRbkr03OcJ+PfWVUkAZbwnu4lxA9UUxlI/dHL8OZwGuxbp5xs3ZtP115fBLUoLdyQzHUCJ+bSsBC8SzEYH7qMJOi6so5iE0irRSZG/w26Sci1ABjGFhBVKVBejLy0BL75P1fHl8NZE4bwXgbaNgi7XP2tbAl7+WZ/MIpzXYgEv3/LoUqixgE27+mpKW79eGMA5M9sJB6M2lC00d0Ok08OIkWeOuwBe9PbKA//5Cywp4ZKj4A45IyPTggiYnN1SngfWC9bofhdPDLoAbJGyNXgoYCpkHDLipSh3YBCmAGVPxbnxQvAkXWTt2t9Lf33TXe+r1DgQu2BjB119ZR3cEILTveX7sBnW0LEnUCPf2Cx81Ai3ilE/wsRR6bl07U++SxvWzzs6KZ3T1LSJfvPkCSwI/NOq+XvlxbE0WX+CNJ2HBS0XpcZaGzUokVBS6ffanrVGQDOuAmU5QQJ2BHuVTyFo/8s7HTQ65RCy9nltO8ha5x3QqZatoeGqyyit+V2aqT8u7JKDYc5EJqF8Rb4o5gXWOtjI6jH5ik0ISl5/nTolTBbpuXGWZOO//Av1IIvYC+FdaVuMSVkU15XulzOb42C9+AjS4l4y+GJFECFvXG7EGRwlQWEW4IwH4CS95oERA3UNGAMCpMGeUaIuEkwZk18ggBdUUu0T1pCZgvuL9LrYMSQJWkwciC2vSPayImegob5xxK2Jgv7kwrMdg8sPKpeExvbVMdGhlbwwOFSYFkPZMmFe+TUKIuDNY3Bu8g/a8gK6FmK4vCALpTGYdqJuiGbh7iRtrI20enVmWJlgCxYUTa1jYPf5Mh3inBC9HutGySIAMSwCLLDE5cUYl8Hw9TNgYI0BFTwSehVxs1gseu/Dbo9BxjJGWCjzNerB2EspLqJEuJOEAw6Eck/k25ytvsQssBGAL2bYVgdrXE6YCWC4/NprBYc0ZvdMogTvlVdOQZtsTAAspC0aAPVVXW+TytpLhrad+Gj+c1umnvqjSmlyAuNQcirNnnc7TRrQf6Gxs2VLDsp6Mmms7gQNgKFggLaTkviv/Hw5c9wOlsusITTrWJ8xIjaaokprMR6vpmtvOw9aLslhvXvB7p/BAQDbcYCMEGvmxiDRKYjcT8kE7qOH9DR7COKakqx3HrS6Hn5wBel0C2PiBjs36edGy3bYmb9PzR3DNIpSRStAymm4sMg14KLBZkkGuOucTaG+bSqaOtnrdZgIgJrjYCxFYrt4jGGCxbpni0wItt/y2bsXDdRiRuaJp55SFNTlOSoNTNIhDyhzNvoSz+FrUTIUjLUywQKwEP7FoO11rwRh4S98Iej3lZ6j3THscToaCfKYIW5s+SLAl2U0Bsrzb8HYHQ4BfNngsNPd0KcLdm0793bTy4j5jh0fpDEkGMW29g4AqsuNpI13l8vGgg21EkK5YmyUZcug1REr58Cdv0Ho+eNTk2CJz19O8mgzxbcfIvNAPyyprVQDl7ygsVUILz3rmaiXb6ZP+vU0boiaA405Pv3ifdW0uibb716YRf67F09SYxcDJU5o/U3ShGfeEdkuPLesLNYhzp9n8SQlqDBGOenyNXqwYOcvcsu6dLr+0nx6881Wgf0564etF8JlzW3CQv5cfqRr/5iGDx10J0wZOEfQaAFbaBpsFgZcWPNPqnnH8zyzXVibSN440ZABfTze12L0pSXgxfeJOr56joCXR5eAl3D619K2i3QHFht4EU9LAzX0tEsuoTQAMmL2gIXghsdM1NoNbYOBWWhIGITskhWLLIvVIQjtGvwEkbxQqKlJF4QG/bWBoVkaHJ6lGSzGBmXsFhb5LMuKpaFxX1on2+eVw85SnxzY+pknJ1ZgZ83YErieFENbohD2nmWox+dB+U8vn6I9h/1nU/m8LznfQldethc1wIH1VJSu0TCcRkceM0FMFqU3sOmrbxpVLJ/i78aULqcvP/p96Msoc5nc+jR10KeBxkOAVp0Ft5Pju2i2rcWvJgE/mxVYJCckBA6S2e64/MYbhXraUJkB0lPrQWb3+e3tNDU0RkkfPAO2ybweBQvD2a++j1QjHWQ4+MkcdV/8fhlKoNJhWyoelyfjVbCczgJ9VNpGMfkehNWfP1tGZulkIujcC7tMubDdYkzKHdj3g3CQ4ECApyKeFphFMoz6YwsDLLxaZv0AXg3jR4VyIxZ/cykIdvL9ZiV+eVND24Kvge8F20F3AhQdngSwsMA5iK2XIQUCzREnGfFeMttMqUyJQUwWzpUKD06ghMiM7/DfBM0lsCo4682NdV5qIVQrFdfuBYjbh1IoljcZx/9JKxe4xCmFn3EQRhmLMnNpUVKAsUS8Z71453owTnFg6a+Fah0tfn9kZJZaWlhk0HuPoYLL8vOwYuxsQdnRhKRcE+o6lDfVQ5HQAnDg+ZjM0P2Q2kjzywVgYTZKi8UgxIujGfSWXmMEQBdoBdncIsMqrY5c+hwqX5aDEszwxF4DDjB+PlyMvqQEYvLhWNx2BAtCoT+F0DjbGY/5zKjLpC5rBg25MiEWHamYpa1ynKYVDXDDiepAKWbT3N5dYL1MFRaAjZklfC+yai1pN11BV19dRpVw3ZNqS/WBIdB3+DBNojRKEHaUvSgM3PWjD7CWi9hXQrgMn034FcjLjYNjUiKlVKC8COBADhbsgitLmKxM+c4dyNbvsxyiMdk8x2BrI4BCg0efSG2E+9OeHJqZ9u1ftdV6+sJnq0NmHyzkHhgtb1KE+kM4rUwBxEIplKefO/B7GpbYIhjkLn/Ee28B6PJMNE3VQaha2nAzranRNMEDIRqXP7KzogZMuqgLzqebUZqaG6Z4q7/r4cz8bsw/BoVFIn8nC8zjIeiAiODd2epL5UielAfRe+F5qhHlRkY4L3ndLgAAJShZSgqhZEnpPlhRvmaPeALaUoEF+J1OlHfbvobxLZd6UKr9GMbcaX44Qdrl0MO6HiYF/uKUxuYR6OKdxHvsJB7PW9sgOuvBP8WSI3WWQ0gErMB7HKfzjltrLcspX+MGsE0Az//7jVbqhA5hwlQv6bsPk7m7g8wz84nITCQtSjBnLSRu4ktlQf48vBeFiMmf/XsXnWz2HvuyMmLphw+vC2jM8OoHnbTjwPBciaIVQFZz5wTE9x24D1aAKjaqytcKcYAIWmoRd3O5Md8bdgK7dHUyEjNOIaH5v75WS1kZ7pL4urpBevvtZuqHtfWZlB3xvrKdXaRu/pgKi5PhTAhXIzCXZyGSy6YDYkvEeydNIFjBHGY9PZ/ybGa7oDROLM9ejL60BLz4dj7HN84R8PKbBQa9wQaQRfh8ifGyCDfxn3UXZwt4Ea9XDeHCjMsvp1QstqX0TZ6QhQASmfYe0KRZV+LA8WE6cBTgC2xnlaiHgUqOulEzKtKtkxOjqOU015p6d6oK2CBbLAzyzK94olGGVFmaFBQ0UHp+HJuy1gjLH1QgI5GLcpyjQO5HAfrwpOSvvOr26/TQfdkDej9rAYTXxpsddPQJOzkRqA4OgaWARbNSyRHvNf+SrfTgz76CydQXrHoDjkzvfNzvt+aer63U0Uy2U/tociBwdrgYAmrZEIL0F6wzVTMD4rWVAF38abmEehfGIGj3xn9to5533vNaJ6oLSshRXkOmT94kB6v/KrQ8BBfMWmJRw2X33kuFHpaWuCkDg3t/9SuhNl2pxYEZs+UHP6CTsJc+jZpreduPhdxeuEecSbsFThe33nCDsATm+ykAMPg9BkCoHSwcDgz4fgrTFD8k/OjAQDBAgZ+pyHwNDMI48TsKoAwH3zYsvrlEbY6qjH3qGXBKSENp3iSyu0ytdwM5WJVCoAkMCfyOYGqz+JvVWITu5PntWaDEwS7SjIW/cMs9f5tEJt7ksZfm/c4xWvD9BGQBY9DnIqDpwPuyoZ8YoPeShEWKC2CgHN9wawbNM92MKPvZj7LE0WnlLD9nmnU6lGv4SBu6n4oetOdSvAOhuA6x09fJ5vGANGg99B6qykK3Ted7cfLkMJgT3gwaZj6sXp0RlvuZ9D3jDGQzFrTMzOF7mIVSl9hJCLgKAroIsmU0dRdcm0yxiegLkSilmQVY5X0+DgdccYwQ+MX7pUrSk0WbjoxslMB8WQZmW2Kit/PUmbzzSt9djADXH/DCx7NjETaCxaCScLX8fGzQ1bLp82nMgEW1h2UWmVdFjtQiMkSnI5kP+2gP64pB/Ct736MUUxtNjNSTTWLfbUtPptORldheDbAjni7+yfcpF0K+So3fk4nubuqBOCnbyrO4OvdrLntjLZdx6CmdSdNBYL60GI5JOu/FZQxYiDkoickBY5UXG8Gy/v7Ooc5yirrUveSK9A1suRyB9ZqsZsydBwtotM9/0H3xxky6FeUDCz2PQPfIaH2DItUfISaABgjcyuQMJj5zE4Bp1qpiFyONM5P6n0Z5kYzpIhwDrIYxaFXYhXFtvukuu4jK772DbtWBCaPgcrSQZ8iuK53bt8+5CEr3EQNWFgOFfZL56Wz1JV7Mr0WZbgYYlIHaGObEriefJBerrEpaEmzPi1HKt9D7YrYdApPhRcyHgV3CnI4sUjm/grE1kU7iHJ50IeEQwrO4DXPfRQo206yP8tgzJwDWua+H++pxsF6kjA0uOVpxj42W1SQhGeBbkqmBnsoW+3mJJRYdAAAgAElEQVQUr3GXHNWfQDy27TUytTaQcXJG8XZWIdGXkhAe6M2xQ2pNDZWChZ4MJ7f2jnF69Ok6gOreqP+dN5egFL7I72M8BqbptjehRyUT2+eE6SmU93chOZGhB3MSc7u0VJnZLpPT86WwXPa/dVUyrUZC5bbry72ePbM3//GPVpRxnsb8iBgmRJ1I8aSZ3ZwRPUk6lJk7JkbINjpMkdAyi0NMICRvPGCyqNcife9Y/8ugUFoeDUOCDMRKYmy7GH1pCXjxfc0c3zpHwMsjS8DLQuagpe+c4R0428CLeHrRqJlPvfRSoQRJqX5WBGK2/ekY7YeY6izAkREsrqaRGeOskwgulJZyydG8cCwzN9qAug+Pgsrq6UPshGLAgs6X9QKtl6yYOdYL0xJ50RSKcG8ot5nHdRuCY3ZgSURgm6BVQ+AtSrDB5RIkKUDyzQerKT9/P8T4PkLgELo1LJ9H3/5pangJE9OMFtnDcTjECKtexVO88Gv30eWfu9Hrnh85MUDP/q3VC4DyChYd0HIZOUDO022wPwycUUrVRwO4SvYLusQgeC+HeG4eMqlnmkXlczTNzNC+n/yUmk50o4bYOpcMTrjkChrf9wlZjYHLpvQoR7ny65+lmhuu87lfLSgdaoGivVLjIHM9bDDZ/WQfbDJFlylxW/6cXY6yV6wI5VUJexsGKQ/BWnwEFHN50wJ4YZFdG2fwPcEFT2MM0CTifCYhHDfXPJ9PuHTUXHEzTZo4IBGix7nnIya7537zBtBPEsEegSyBTFIWAq1+BhmBgUQ4HXM/FujudKB00IkPWKw1AueuioCOBARNolVOYstvIQ5CVrwIbgda/K25FQww9GXej8uJHXKWH78j8Z0ta9PwPQKt2UonoUHDz31CsK92g0UePAj/CX0Z/KSnaAgmwRTBq2Hsg0GnCKTcchJgP46stVeg7wGGxGlfBKAYyGgAkMHBtBs4kgBOwmFdYPnANr2abdM9GdQArBjx/o+PG6mxaQzAmPdTLABwm5fnZs4ttHGg2gIdHNvwGOmn+gSWi5L4Mj9IS2w8BECxmNTYwSxiRg/ut2QIMVtQquYCgy0pi8xYsMgvrbpSLwhILnTRFOwaFyPADQS88PGZOTAM8IWFqJWaE++jAQ5SRjAf+PaockvBtJoHsSN5bAcoFZVfSZbEfDKqUwUQptQ5RGuOv0W6vEnqP3FsHvSKVJGlqgLgcxXKDzSkQVC/GmWL2iAW76xH0LV7N9W/t5NaMO7NwEHlTFoe2Jos9BlIx4JLEjIxZmcBMM+AplU4wMdpex8djzgF1o//eW0U88rIewnUdUwV1JzljuuL6cJNuYv6rhksb1AU5l48HGpCGSuXGPlrGsQTpvE0Or0Ni8oG7/Ii/g53WWNGDE3DIljarBu30MELrqV7x2bpjgvzAd6cOVg5CZbLfjAyBVcbecN4X4K5tgugjHR+Opt9icWoN37ve6SFZpu/JrBeYGltBMtM2iLAOi3/4Q8FNtlCm9HyLkpJ3sUzCFy+7bBVkybiQeGd32WGk1UEOIEhjLVfAfiyXAK+GMDq+N1TRyBM610Wz3bJPYj7pOP6bT+Io5XXwS1NnB9kF5lhS6Xl08XU8eGH1AfR1s6OIeqFhpk/UXtmdK6ChlBMdGhuWPEQPy+75hqv/vvnl+pp574hrzOJ00XRj3+wwa+ZxDjKK//rzw00PKEMcLVDp2Zg1EApACdHJa6izDJnoEaegExC8uVPPz8Ppf1wUlJo/WCZbt/eTA0NMJEI4tzHj5DL3HXWIYqbbKfI+vcFbT4v5gq2EZwSEY8z0zkDQJQmdt44w4y+xNbcSmYEqSgxko7Pi9GXloAX34fu+M7C456Fjh38vahfLQEvZ3L/lr67wDvwaQEv4ulpgLqnX3EFpaLGVynwm5gw0i9/tR8OEFYsCiKQQcIiAV+eAfgyPAWXIqzJKipTSAMaKDv8tAJtn5Blj/lYyYkqaj5t8qFiV4IKyRoRsShjqABgsBh1s/JbPwQWTxtsYnklw65JOkwM6agNZzCG6ZYqtrDGz/e/spISEpvJpXoZgW1ggEN+jLa3RqljB0ouxpPoZNMkGAf+BpAIuueRH9Ay2ATyoo5LNR7bVkfjMmE03j+XaKRM1JOm4wCprbPIVDCrwP+AqMX1rOBnIRGRE8+TF/05oLZWYOKPDSLCF86r24kgpQuMEy6/6YKAcz8CldisbDKgDtowGNw2Wrca92HN5fSFm4qwQJ+3a53CZK1UPiSeWwFYW9Vg7Jx44QXqh7uAvCWVl9MmCFWfrYUoH49ZLweUyqDw3BKwOJqW0bn5OxrW0UHga/UIijLVvwP3bRxlKboLrqZ+/cqgCx/5teZlaECKsdPQBJf6KL8f3bBKPg3NGKUgspBL9PLi6e4r82hDTabAKPn140eRNXMvgKXxMO99A+wmc9FX3zwCUMHDYhPYHbCkFphBwnfc58G/kpM1VFHiZqHwXxPQ/27dnEGVADa4Ccwg/HCgJfx42EBzf8NJ797fQ0fZXt2NNnmfEx8EK/ErL8qiIthY8z6E7/J+PD/SffLfxGMd2NcNMUFkNDlC9wBDamiDbFgPtgsCa4GtJDk/BzK0/K7PATIeBGSeReRhKnkekoOZHAeO0DQHnxaPfs4ccMTbYqmpiSZjFAJP/F2rhQVqhBnjEfQQcBx213E6VcgIZ5E1Dj/kp7QTt6CqPJn0+sXL5Evfs8UIcIMBL3w8pphzGR/fZ7HxPTCCOm+APpkXQMa6XtklZAYbSN5UmI9U+jRS5ZWjJCmXNk+cpOyB/TQTPUUTTS0CU4gFnCPgcBRZsglznzvwTwGwsQzWwoFAkMlJI722vY0OHx+l+Ok2lCO0w62tF0wmAGawLg61xaIflBYnYhEiAx8D7QDXHIekSQ7YCVyGxM5vgca4aQeAcSe0KdSBGTn51lyaOphIr+/o8nFHUTqdr36ukpajJGsxxlcjQJcIMF0ikfDg0mRpiZH82NFgolWkVlH9f5uoeV8bYg7fedaFheQY5neHZCy0nH8xfbzlKqrpmyJt0xSlghn3IKyBczLiwwKxpOfDff4A9FJGFcB34V0CyK6C4PUQFvGfZl9ivZc10GsJ9A6PgrXV/fTTcGn0ZtbpUfpSiJKlhT9XF81anofY7uGg3cBpvQAA/s3CsV43GOkfav9l6+LOonHPv8EJApSJcVnfExDTPXbSt0zchvnw+PEht/4YWkVJAhzuYmnjN10EEzEfQN2FedjyQSNpdveTGvOYOFHWd01C+8l/n04GuFENvcFA9ysW+m0liLtyMbZIn8k4Yut//9UBHxOIay/Pp2uvLFME/YWS9L810Ik2Zf1FK2Lw42Cgri2Poz4kYboG5hNfiegXU3DBlLeczFjauiGbvn5HKdgo/p1DDx8+LQiYDwyYfPW0EFdrI6GjM9VFju4GsoPhopkdJPuosgYhnwOzSvPWrCB9TqbX/RtpaSEjdLXkjZOG6WCPSZMhizEvLQEvvl3V8b1zBLz85xLwEnTgXNpg8e/Apw28zE1oAGBS4YSkxIDZvbuL/vpSs9dgy8xQHjgtCIozUJeuS9XRB3v7Qa2HQjlAGXmtO9eWzkI7Qq7pEgewYH11EiUlx7ldOs5SE7IAg3CckeyfryEWVEsW601HzW4xruMBWHfmZI+SM+qvoMIG1oeRn+rJPw9R//4RGjytp65eq9+SCBYEvO+Jn6GmtYh+98wxau/2zfDGOacppX8/GdqbQRdFfTsy/YHshFngdiVKDuS1y3yOWmSwqm+5hdIBBiw8oFIYnLFQPfDv/05mSW37yKyN+qetQtlVMI2S2AqI7C2/XtAU0gF4+8pniqgI+gY8sXJAO4YaX6XGLg6bkNUzQZBzH5yM5MKX7NJQi8AzBwHo2WwceB+Fk8WAgpNFLO45ZzmtE75BYSJcjCZxbcPIMnehrE8E6TSJCWS+5PM0LcniBzv/Mliz94NdBuf2gI0ZI3Wg74taDtKNC5Ad/tUPVsG1aF7b4vjJIdqGPm/yBK7i9iqAr4Og+0cm6qAPMx+ksWg3C+1aFRZC/F0GBVIhnFuSgXd/ax5lJIfuwFN3aoiefKFJcZElnteFGzLojhsrAr7fcjHkzs4x+t2jR+dq2EWAaevFuXBjqBT25SOgjAMq/U1+8xlwmcX7yXoKE9B3mEW5F5eAcRO+zyAUYhsnNCgm4jOERWI02C4JCaMAW8AIYjAY42EEWBlQW6XTlkKyOfEFLm0DyBTBzCEeELgUzQMYMZOpZmUqpafpvOFZKT0G/82aKnx+XN7DAAfrJ/G/PSc3f474Lzf5CgscgJslWGAu1NeGyfodeO8fkJUTKr20ZrDFRhsahHPisqIZMKu4VFRpPOG+HpFZDPDFf9ZZjQx5SmoCVUSaKTdtkoZ7+8kx2Cfcfxcy7a6VNaSOL54L6MtQXpiL85SznQQR5vpBevmNdi9GBu9HZxulxJlOiuxrIvMUmE3I4gdq2WzNjvImtcwWPFh/l37OjiBchpSNBZ0e2XQ5C4Z1XfZYD9AEwKZALcEeT5tpPcp0NRAnbaGdBwb9si/F/TAA8p2HllNBnj6cU/bZlkGXSGaZRsD2Fy4sdXArE561YougAi1cX17GOzwIXRps3wY3wRlk4cVXXHBwy9CSQVK6YrzoEtq14QpKQP3lmiNDYE3N7//ea/Jp/fLUBYns9sHV8MQzz/gV1K2AjkwTEgNy95vFWCwGAzHLMd+XgtHsb77nd7kR7pkmCFt7NTAQqn/8Y9JikbvQ5oCIuBlOR6rotqC7cJrvAGNko7Ddc2DHHlAHF0RPwsP+FhiUn7zbTh/vGfBb2t0OtuHAoIGyIdq+DMA/z2WVWzRUeisAXMRU7oEOYO/OFjLsbCATW9tbbJThTCNNlPs82GK6HjbPHKP4ayUALrIAeMvHC9Z7K0JSsxAacczokH/+xttN9Pb7KEmW7DoWsei/fnc95so4xcNt39lN7+wZmkt4yDfiBEs8hsIMlEBxSd4QAoOeQQtxnG1EXC5ndnLcuBrvf0yMWjA9+OLNxRCl968NyIxD1n45eLBfmDdjopAwMvWTvQdmA0Ndc66WMREoxcS/uVzZX1NB1NyszUSZJ8qXoc2oAhBuwdg/AuCdEyXSxvNhOoDMGFnScDH60hLw4vuEHP9yjoCX/1gCXoIOmksbLP4dOFfAi3AlXC8PDZhUFuFdt04o4xDbH/5wEGrxykCEA7TSSCDeGtC12dHEikl9GoK6o8jis7aECTouXIagT1JTUy87tXg6F/p2PPQfLlidSokQgg0jWRj2jedAg91QJmUODtIdcZa5ALTv2qpEWlUZAVeg9yhZ30PaGLe4YShlB4d/30/j9b3U0aFH9k7tty62ojqT1FfcR3savK0yI1GDnzrZQKq2Q2QchfUsJkzWwAnmXFgGymtmuvdkzVasBQi+SiC4FwMB18Vu/XD8aN62bS6wZDr8KDIVlshoaoMom0liNy0/dkxuHk2v/QwZXd5Zrocw8SdNtFDjn/6kWDPP7+iqr36VskE5PfrcczQAzQV5Y72UDbDHXEyQyd+9Y6o5M3N8wB+cZyLO0ausyLMThzaeBlFn3VmPwEQ2z2g3bKXBrPUBQTbeTTKiqwStC6AL3D4coU2SzPxqRxApxjT8rtWWJlAaaL8rYb18zy3lXhm5Z/9aT/uOjM2vdwG6tIF1NYB+7Rba9dac6Aa9+/QAsv4KtupMP/7WrSV019aCsMQ5x1AK9MgTxyAC7l83IC9bSw9/YWVYjisMJjz//HHas9c7I8dg8o9+uAHlk/6p+qH0o9MQZD2FUjQT3k8GRLixlgYDVHPPHOPNWFYJTcHUlFtW1giYf/POIKwPkXdlLe1suB0LCOucuDO+JiAigm6O+39zRDgGAR64dxmtWJYmLMTlIFEg0IjFDplxYgNgKNC8+UQFdMJFf3vjDfo7Fpln0q6BEPYmzC+T0Gxih69A1C7D+AT1HjlBM1P+qf7iufC4QxnFZHH4d9BihktZxAjpNUaKyU6G7buFoo0QujZCwBUgYmTZ+Xgv3WNRFBZJq1BylIBzFdsYrFbffKeN9h8ZCchIi4E2T8JMG8WMtJF1BBl3iSAn74v1lEphE8vz3WKNT3z9SbATZxBGmlU/Zqmj3uh+Lsrz+9g0TrjC2ddSkmb+fX/qz3V0BCyCYELB7Fr2nYcWbjNttLzuYbqwlhTKX8CaG/PjDMgXkOQopIh3oD01PK9x5kDf6oExwADAZwF/RAJlFDGFpxCTZrZeQXvXb0UBUwSd34WSQjAF5Hdjw/Jk+swlucL4EeozseL93YMSV9byUmoFV11FUx0dNCkHNrDxi9BY6cPcyUzbhTQ7rjkbJeJ3Biqjxb5Z7yUTQqT+2jAEo3swf6Pu2muT9OuuozwwNEKJd/zt2+6A4YDzD6RSS2zcFTZ2Qd/FZf0qEmBlZMIi/UmzlRq5PwdpEb0TFP9yE00M+wc4Z2Ys1AetwZoKaGJJYpFb/3cyGTPBSq4DS+3DBjJ09wIonU9+xTpjKI3AhPM8n/4xI3UOBx6HuOQozuOix2BwAZKYhfjRoWxR6T4yg+9nvz5AIxL3Jb7kizZn0e03Vym+h40dE/THV1oBBin3Z2a7DAxMUXmmTtBO5GZGQD6I+8ASAUpsF547C3IT5s5xOdxKmQkWq6Clw/vjONqK+eHkJ4do/6sfw3L+JKygvdk3ajDXVGOdGOP9P5soMMFsyYXQKXPHLhwfFBUlknOkl0xwjZQ3LqFLg3aR9F6yy93f0cdYa+9M+tIWlNf99Kc/DfbK/Y/63PGj0GLKxb4pUT9bAl4W+54u7S+EO3BOgRfx/FjAEQNd6sUXUzqCOUbr+/un6JFHDsIhxVtE04RJu6ljGqrpTqqtzZgrFWLNCF7EmPB3KybUKaOdZpE96IeL0cAoKPc4VmKCBlbOarAdIun82lSCpudZbUZkyBh8kVtbyw9aVpRAGcgax+vsdMHaPcg+nIQjAmysUZMq/vB3lCZUG67z8B+GaOxUM2qM9RD2TVLMyLDoqiolg+jCu2nC5F4wxDunKLkPdp8dzWRHWQILQ2qgNm80BR6MstJjqaTQW48iARnQqttuo5TCwpCDyXBuPk/AR5AxmxEDSwQpk3DsMcAaMKm4GGCbQ3DL4glfHulq9Hoyb74dbga+i9u4CCOtaH+V9Cj1UgqCs0Gxr4UA4Bgm3MNgEwgLOEnjRcjab3yDMlBq9Gk0XjDU/fWv1PsR6xN4t1gsnPk5WyWBxOCoEQsF1F/X1kCkk+uYvTM7GlB9LZc/SFNO/0BZUVY0BPOsND4jCuyGfqWnmmGFDQ2iZNCO15RBNwSgjSic/Z0vVMNNbL7OexQB56//eEzYnl/RJoAf7FAmtkJ2YEGmSuwHTIOuaxiGDov3NbHz2Howc26+MJeu2Foc1vv4x+dP0BEuMfLTuI9w5r24ILwM7eDgFP3i/0dfk9Wsb9yQSffeWxPWOUpPjS0yG159lfp27iQbFjaRsveTM4az0CVgTMOYmkVDManCf8dE2yk7pwO7whIRgIl+dQUlbUqk7v4tNDG2isZQwjfup6Zf6dY8cG81rVmVGRbIFfpbtPAtub/MYozoQ6nDEO6PYNUsLSvC50Nww+tD+ZcToIhrOHDWdG7KgmC5K60Ic42vQ0oC5pn8/ASKh+in61QdsrAjNOOIQTmak7TJCYLtuLqomNSxGWATucfaBIwftRhH2J1t974eentHt5dLVbA7wMKS8aY+ikcZkgPaXObpWUpFyV0RzuNslNMK54N5Owbzdh4y7M5VOdSRjEy0OnDp0zpLLWVHZ3ldDjv0cb871TodtOyxCGUWX7t/OdwNw7OZNlhehdbGToHpwq0fAqkdPRAd96PLFDGdTYk7wZIbVh4LxqB70QWW5QDYpOYIN6Axe9lVtHvNxVC1grOKyUrVYLv4W7SmQWvqgesLqCA7IaTSo8a336b2N9/0cbji40ZjfstHwqP15ZcVPy8AGyX1DLXHGPBpBhDKZZP+Gp/HRjgV+RPQF5JRYIxaZOL1UdCHqfrXf/VhFwR75+WfW2yt0G15MqjTEdAyCMd/Hf0ijSYxH/4ezKRelX/wZRLOe40t45QJR86qQ32Ck5FSYw2W8rwYamyY8nqPz1vhoviI/TTRChY3xhilpnckYbyYNyhoRFJhlK2a/YRiXL5eg7gxF/Fy8ZVXUiJA20Ag3se7O+ml1zA2SB4fz5Pf/8Zqys/zdb6cBmj/X3Bt4kSLv9Y/OE1FKWqyyKrkk/UqOt4GzZsh7+/y3LkKyRNmu0jbqookeuCGIjwPN+uH+yTHMUNgIQ4zUxfAoR3MFP57T88kDcKIg5mu/G/GqmJm+sg+7d+dM4KZ7RklAOa82U0QKyDtbC+kAMD2lIjvCmYQ0IGJBoOIdYhSwdzO9GhdWXFeBok7UrjvKG8fj3LNOOx7qc3fAce/nSPg5adLwMvSe3gO7sA/BfAiXjcCOXZBSgMAkwYXpI929tIbb3YIzifcZkAFb2iZmitByoI7SQkonUqABI+jKoAIoxBGrO8yUixADAs7DbFmJ/ra2koExnGxfmmji/UoxiZMELycDHgcPv+a6mShbIczpRtrjlJeNsRtBe0FtrCGSCrcWOJj1QJjh7P/UkaMCer6h/4wQMONzcjgxWHRBEFM6/xAxqKbbPHLMWYaWBH2DTdTTN8JimrZD42YeVq4XIFe6R7E4zyWI6PDNE1unG0pg/ZJMZ5ZoBrvM72fo6jDrf/d7+acEYyYAPtRcsNaQRoPu4bBuLaeKYivzmf51bGozb74LhpXA3SSNb63mV0fk+HYfspMiRZKv6T0eabubkZ2ggPJg3/8I42A6i1vGXhP16BUINTM5ZneB/7+NCjKe372Mx+BX/4sicuKEKhwUNKJxSRnZpkAodUnUGyKnsZau3xOQbt6Iw0XXqTwjrqIS4t6h7lsZWET4zSyX1bQjwvSYgW3MmljrZdvgzkSDX0Msb37USc9/2E3nerH92R0a+4bHLhJxbCHIerX3jk1B+YkaiNpVXo0rJPh6oTt/+07a2GpPi/GHej+/+OjDnpjR29AF6Pbryuki7cUhJ2dfQmihh986J2t5kD02w+vxRgGHZ4FtBE4MZyCGPRsTw9ZIVwZpZC5491ytnMSQWefvshdPoSWmTFOWt0gaZISKf3SKtjPw5nHHkMff3QXwNtIKi2MA7BpprEAzB/5Kd97VyWdty77rI4DC7hNc1/hYH4Mi74h9I8hlDGNdA9SV/sITYOVKDpo4C0l51C3jx290nEjY7VwNkJJlt19T/n9LCxMAJNoXgfFxkDxYBs5VTYAWSixMgLgBWijSk2jhGWrSZeYRDFINLgAmCVuvZIOTOVRffNkUAZaoPuQoTXTJpSvRvS1kAMLFi7tOpvN5DSjvMhACVvAAtsETQToHjngpiVvFZYSqtAoa0nw/PTotuPUDV22YI3nyi/cXR1yuY7B8neALrvQZ93nxAmRuobROctb+fHsE+mk+1BHsVOs0+a/tTNbAuUkZjBEjRdfRjvXX8pS4sQwzEXNw2TuDVKPie1uvjibtq4HGzUA62IKVrh7WdBdacGH2KHyjjuo6/33yQyAUd7iCwoEJ75wxJH9XbEA/rz+esB7koL4Yh1E5v3FAoOYs0+DXSqn1GZA5yUHzOcznUfN1n2CZl5kEKcjh72QNPQlnKeW+qHP8nsAMGMycWTxXTnVNDqn3VI2MkN5cN5USqZ94Z5KigKj5vk/1WNx7gCv0ET66ZPk6m2kouIImtVMkVPB5UsYO1D6melMnys5soA5chJsUS7XUWrRJZW09tbr6MrLEf94AAt/D4YTFP/xX/upp8+7xHzdqjS6/+7liu/Gk6800qEG/+8/OxDFQgHMhbhAil0yxlFcqKO6lhnqgwNlPyyyxZafg3JHjA1K8fqaqiT67FX5NNvfJ9g6DyHWsqBsWgno42RCV9eEUBKqtiC2HlJmgYnHVWXkklEh6aYzD5JtYuz/svce8G1d59n4S4IAQRAEwL33FimR1N7WsizvvZ3YiZ00TZrRJE3apk2+9kvXP98XN3vVsRPHtR3v2LG8ZEvW3qIoiaS49yZIEMQkgP/zXgDExcUiKUrKl+r0pyoWgDvOPfec9zzv8z6PAN6owcKN8zDN1ZBBKMRYzISmFZcbqaGTtxjvT6R57X/y547vLCy+vNQ+k/3TNeDlUvvw2u8X0AN/UsCL9/oxE3IJUuJ1W+iNszKIx07REAQGL7Yx6u1/k0uXJpNOF1q/oRCLQJ/RCVHeaIElw5l7dwbYRaurEsGQgPAoNnghEl8L6NHAn7hLIiA0GuYk7IxSU5UE3QV3NqCyqB3CtR8h4eFb/JiFz4sEAzEaWOQlwJWJ6aZq/G3ottLp/+qm/ottqF1XIMjHImZU4L6cwv0awYzhlg03i5RUNU1C0M2KrJy3aWH7ZwBzgN07QjU5gCzWdVGhxIubBkyTqgcfpCQsVJdCE47UyYIF77PP0sjBg8JXbeiIXgRwcmTKEkEHlQZrrXAXGB5H0Au9CtmWu2hYVRT0FCkWOFTsfUlg+3DTQriuHBtOBXQQ+H4qH3qIiq+7jgYgWnsaZRziTDl/nxXy137jG8L9c7sIcKhR4twQ6d6kn5ch881/fGKxgQsS98d5BMBd77wjjGNx38ciSLBiPDccb6EJ6PSIM2YZdUtpFODcDDYM4iZn4cCdj9F4lC/zlZ4opziFi3pHZkDPne9duL/PGcAHduZQf+8E7T06EnQz+fAdRbRpTY5wDwNj0/RrZPrfguDgJGf7grQkUPsrS5P8nvkFsGrGYK+boYXwIES17SKWzOq6NHrswciuLC2oz//Zb88FgEPiS1henURPPFw17yBsZMQItsthBIr+91Rbk0Kf/ezyeR+P69Fb3n+fOt57j2awGZthG0wACt4SI2m3udC3+sU1LH4AACAASURBVPwyah20C/sdOVykcnLbwbIAyH09+j7Bvdnt69mAWvqaWQCuMFdFU9CKGR0L/iyCPZ/77y6lTRty5rwpXtjIurRfMRD1wQctVL/nOLlGe8gBvQC7ASVx2IBxU4EJODOMYH4OMVl0vJocSfkUrwa7pDAR5SMKv/eRgQ9Hw2lk2EcEF6lJbNxYg0MoTYHmgFwHfQeUB8iS0lAG4CDjhoeoZ3qhyjZEddXJdPftJZSakiCUcfWC5dMLsdVplChKndgurRfdv55xQWTbOUx2j4ORDMwBdVUxaTbUkGxJJjnlKOvB/6XbU2llVG1YUI6F33/13DkaAkM1Utu1JZtu3VkYAeQDIGJ9CfP04VnQhQG2CxfdtuvBmt2QQjOvxVLGjDnsmmYGmn0Wx+K1SL9hG71dfR1Kz9xzdQlilbyzYLqG0J+SnrcsT02fvDmfUpKglSRWFvd88divfkVcphOssai7FuswrwXSxky22r/4C8pG9n4xGjNWzmAd7g9Sbis+fvEttwii+sFAFDvYZhdQKmuXlEzJ4PC15NvfpliUhFxqkwJtoY7nsK+k2OiHMP/GUAve/V9ioZtmERJPE5ztsLZMSsrFa1B2lHiOtYF8E8QdN+bTru3Fwi//7//3ERkaTpB84DyZRvRCGSXriqhzHRA1hxZJiD2m0hlLaZQy228jYNq0gq0qJqkqsnJJtmorTegKYHVO9NVbc6ksJ3h5kfc+zjQM0FPPNvppGXFS4sufW0rlpWkB3bPvRD+9vKc3jGED1nanjWQAHKVi0/lI1PD7y2Ofy466wZxknUVOMrC2SyzbE4paLGJKFVw0VaPtlArh8ByF0e1GOIfW3zFAQw3nBF2uUHFrjEZHloTsgNiD2S6yMQjzsiUjGpfJx6clU/bSclr7lb+ifIAuDLZczrh2Drf4P+Yrzn+6OsBL9HfmsMhfpacANuzl3JZepbu6dlqhB74EevPgU09R5gI1OQZgxRaDSeqryLRHFAaZb58DZdDLEuiDiRza258EzYLADUA8AAguOQq2yO/YnE133VJKz+9uowP1QM9F7xgHETdvSBOovlyz3dYLuvkIxElxCvsiAzEc7DW1hq8n567RgaK+pAz2pEzFQMtJH6Y1NXuAHwRXavcCMbzB1YIJ4+ieoY5XemkcQfYMgsCJiTwaGY2lEThExShisDGFo9IEhB6n9BSTlkM2VYqQ6Z2TrgvmxapSLSVBpJTLawpBby1HXfmVyARMYWN58t//HSwGM81gTHSjXt2JTYUO2ioq0JuDtT6UD0yUb6b2hOCCt3HYKOgOP0fmgX5JIBAN0CuBcmqqaB1civj+DqPEaDyIY1DWpk1U9/DDs4vzY499DjoeQ9h0LmzjZLdP0ZYtKrrnni8J1+SNwTlYYReuODCeYqHZIPy7bZr6nvsJWVFSII7VTchERRVXU8fh0+5skaAV5D6WSptAmpxMMKNaZ/9NYE7hcKqlK2ikbKcw9pnlMgYHMS4tmk8TBym5END9xE35lAvrd7aOffJX9YKTkrRpoB3zj1+qoy4wc17Y309jEKKcxGb/wkV9SJZYZYmOkkXigryRduinKBG3OxNEKPNLn6miqgqffob0GoyoOXwSJU69IkcG6XeSUbbxjc/Xkk47/43B66+fp3fe7fEra+DSkC98voaqqvzLLiL1twkCumfBchmD/SVv4FnrxwEGR7SofEZ6DBc2ZjFwphmCg0s7sqjJ6WYquQXC2CugCeVyZ+WjomJp/76HoO3iX8LBzhxW9O/QcGjKufR8t95USDfsKPiTA184jDl9up92726hXjho8dzHzyEWemEJlj6KHu1AdrqZrEa4ZUC81j48EOlxoKwhipJyMhCoLw05F9rBTKL+ZggXm8kAVpFpxK0Z4oK7lEubgXXNjgy6gxQaiN+mY5Ow+lYajs1HvlwVln0lvjh+j+6+pYhWrcgKuA6+70GMl17Mm2MAhgX77DlubsJ1AAMqQwCULDFBanYxr6jgHqLZVEcpy5bQyvg1EG2PrPvFG91nft8YVB9Cei2P3VdKa5ZnhmBJuFBK/CLWvSPsdT/7076BKeroCV5i5DCk0djvoP2AzbE8iFOf9yDcn63YDQ9hLXLeehu133gTDWKOY4YhYTO+uR4lRiORwSPx/agwr38KpUdLwOAVs0X6wMyqR3wWjLXEwH/1o4/SeTBIgoFqzD5ZA32yS2WRiK/TBICSBebNQVxgZr/HDN7PfY5yQ4jND6Assu+FFwLGYPYjj1AGytYufbMLANP6FJyOzkV8f522m+F0dL3QR6eRgPkNUBGbR2ulGTHb8Ehw1tL6lhEwhicFXaL1q9LokXvdRgIduLfDL75FzcdahHnT24QymxUYX7IxgJShgewkhxYlR75y2jaM1wEw5WRsW796O01nVeLefLeVivf+m3cVggkdvPSO49yf//o01Z/3L5krhkbMVz+/IgC4HIQu2/d/d4EmRYLQ0k5UyuGG52QGnz9AAvIzFWC9aO329ZkZAu/dKNGKQ4Iw11MmrEBfsDaVWt9Ork44EvX7RHLTkmKpNC+8cxpfzwzWO2Yu2sEgNKJD2K1RkDYThSzRYNI6UorA8vQvBxViITMckCb1AL51JE+D7ZQKRgNg5EbnllPG9tvo9ttLKTU18nVEHGDXvjCnHnB+9yoBL/8wvxh3TjezSF+6BrwsUkf+KR6GGS8yaGcsbKuI8h/cVBsyKn8HcVGuWjRxOcYiBHXcV+Mo02ntmBA2bNPqNOpJq6WLtlRMtP4LV35+AuXCKla8YD/KQdnKbCEI7UU995PPNZFRUuqgiZfRPz5RBXtNUL0RTE1hA9beOyXYFHf0TSPbbxGyBJwIvdTXk6mZ55rGUPMdHs3Pg9hubpbPLlCrNtKmlftRXtGCawj/W15QpuvNNIKSBpuBF1oXSgVSEdinYaGcommUJLBzh7DZQGApyyokZ5xWyEaEqlv2jlkvTZRZLkvuvZdS8PelB0iR3wh+LhchtNkHmrMDgU0vaKg2aLvEAChkG8tQQWUmtFmUG26hF9/thO2x/3jhfsoegvPL4Q+DXkAMWEc3fffvaM2mpTQEMbd62GAGsF0APq3/1rdIB8cjbufPD9LDD/8l1dez1svC36Zly1po7drHI3cMvpEzcxH38J7wXY4VbQgax/FuxKKkSJcYD/ZTt/CZeEnLrK0mPfRqLFP+tGO5UkHT6+6DJW46dfSb/TY+XmCHAUE+D//tBv1Aq8cfsZUzn2t5WQItAa3YK3rLn3dBD+HkhQmhbND3O7AvYK9eCiZJrzWKDR48gFAUsmaw+UUJnfe9c5fWubuFhfGWVsAKHmOY7dl31YKpA1rzHgA3wWzVWdDvb/5q+WyQKRWu/u1L5yHqC3cfQduVqdP+LCI+75cfr4RTUmC5mvhBBXsfDAYzffdfDtKkBHQqKdGizGjNvIDLQdS8X4C+j4kZLvx24zpnmpoAGIS2UXchkxwtchebkqkpcTuA2CwGFXyz2shQHR06tD6ow0s+nqUdD6cfbhVzbddtzKZ77iyNSIOf6/Eu9XvjEKt9440mAC/Ds65S0mPyPBgHjZIEUw/cghpJ3nsGc2ZX0FPzmIjnsk+UsEbjfYiHvlJSSUnQ+ciJ5MTM2ZNgvWCM4bvjkw6yGyG6iudnjksmo81f8yAqLRP6MdDKykRpWGoxTanzkD2WhRROX7M8je64uRjW3pGBjcn+fuoGW3AQmjfM8pHOa/Pp51HHONx8cB9hYmYuociS51Dh5m2UDYHWxLy8iGP+4LFeevmP7XOymf7KE0uoojQ1YC0yWl8F6MKaLj7QZRobYXYx8mpMie/Vrk+n/l/PUIEMJV8QIg7XDIhvzuPVmQGzo/WmW3D/7g6YAps26ewARR0bE5wWF9Ju3JBBN0HwlMtHmB1yECAHlxIGa/lwsLFOTtLgEYBLksbJkXXMxkR/L3YbBHh38ic/IZdEJFd8Hjl0LNZC74W1R6TNDrD4wr/9G9k985j3cwW7IWJNXYySZQdcGi0zv8AYAKs1QnNYPgWx3VphDB0wW+hFMGW5ZLkPDkXhGMDbLgxSnjOavvD4MtJfbKJWlHtNdXYKwG19/SCYx/5joBhCstoMWI/T+JxLjkihpPas5dSTXE3GGQDlQe5lfbmGHoaeWbB+6+zS05M/O+1XGsXD9S8eXUJ1NVl+R2NL7B+/cIGaukKX+3FOcHmRkk6c9k9k8oGYIdmPmFnKgmHOmyYZ71Q0HD0N3RTVe5Gc7Q3op+DnSUPZd2luaNCD580RrHtiUVw7AJ4pADCceGEAJorjEnafcwW+y2rE/XEKfE+lE56RbRoJPYBurHdnX/sA6W3x0GBR0COPLKHq6jShX69ErBtpnP45f+7816sEvPz9pe7sLt9TuQa8XL6+vepHXhTgBWyXx2GHKUeQn7kc1HkwLswou7iUQvW+AQPqvY3QHeC8movGkVFiRfIZBKM9GXXUYdKihMa9oWZtu9qaVEFwj9kfn3tsCS2Fi4+4/eYPzXS4YSKgpOiuLZl0/fqcgICZMwUm6MN0gP7cBUZMN6yh25Apm2XELODJCZn8FmTyw1gF8mGXlOrALPHZAcrAzlhfe4KyMk7NZqjDnX5in5GGDnWh5MJCiigdTXdOkL7PjL50G3vwH97w8gZaU15BoyaUDoWZf3Qo4aipzaXS226lArA85BFqihfQNSF/YsGm5dh3v0t2BJj9WGxNnkybtrSU1EGCOj6QDuVHq1FnLog0D0/Tb99qBZjgy8Ik2YcpZu9/g4ofPJvFTj9DmWvo9usySXXk9zTJY1nS8lADvBQAFC/Izc1D9DMENx9++AtqaLhywIsKFpWahpfJOjpMkwD0pkVWzLmra5ERukA2SVlRXIKKkovzqPdMk98dqeNkpKqopv0xG7CBmHtpifggGjhirSzC5g+bDq8u0+znUS7qHLNQD0Adb4vD9xUZamqDiGtGElzGRNRtRosMcOTx2lFLGfhJcDjJTQFDLAFgEMroOBjrBMups8d9fOn3N6xIho07MmDIUPJnzCBiO/kpi51ONU4KgSmDSvw83WASA0tuoGnz6jSqLgWAwZbLSJ5xNtzLSuPviQmh/ueNQunZMH20t1/YNHtBKj7vgw+UUUVFqnANfCzv31zOx//tPQcznFibpHPvXmpj8BGsL29z4F2IYqHKUL7vrBuBuZkdHQR7TDATi28vI0v08wC0YcWN/hYCSpeMjh55COLcoQX/cjNVYFDNUK/oPYr0nq+HcPAD95SDUeLvJBbpd4v5+TTA9I8/7gCo1EfD0Cqaa2Oh9gQXBDUHoQHVyGAvyo+QXeUWC+AvAZoAMSJBRv53DTa5OvwJKoLeCqvbvvN4DqDhu1AKivIzJ4J9B5yNpmKSBO0xv5ZbSia4nchQ9shMGFleBVmSisgYm4ax6hHkRbb7wbtKqGZpRkQwQ3rf7BTCDBh2uzGi7EMYV/MgNhudRmwgsZ6G0Kzwni/FgfKraHcJDZe+6DBvsxtSJpI1coyLUMD5m++10vsfw0IW5QzhWhyexddRMpGTpZv9mglCutGKfX6gi1CuisTHhCGQiWIbSae+X9tIZzZQgSSBIz03H+cC2C4TN+yii3fcOQu68PcS8B5+HX8OHOqnj0+PoMxpYUF9KUqPPn1rPg0e2kcdb70V1G2PRY3LIZrbwEmBIBo+BQBllkB7bTHZLuK+aAOzo/G558I+Gy2AyLVf/KKfW6X3B70olRx89dWAuSv38ccpHQDdYrQZxwCWIoAvcp8rVbDjuvA+up2OCoWPf3RhgH49jhLbIG554t8nYI74oQaaUIc+pjG2o2cmmad1dIzDIAKfiYavEmvOcpS+6uErFw6w5JKjDHkm5UM3j7VGBs0y+tk7XX5MF+l9fGZ7Fi2XlODyd56DttjHh4f8vp6DRMTffgUuohJdoT981Em78d1QywkfZGudjk5CNNqA8n1xc7NdVACsfOuTIHwLNuENtTEQ/G6hU7v3wzkToFMYy2fvMdMBvpSEAF/Y2ZEdvII1E8BPdvKLSs5CH/vmBNb6i8mAw2HBEkFQVw8GszT+Uy1bS0NJq/zc1ZYsSQb7pQSlYrpFAQQXY1z/OR7D+R9XCXj55sLm6CvxDK4BL1eil6/SORYTeOFb4ABflZNDGciyOjE5mjngDDeTB7nvVixaQxI7PRvqRfV6FgrFBgbBqCW7jLpTl1GvSS0AMFpsxDZtyAboAseRgkDHkS4AKD94vgmbU/8Xzc16qQbrJXyWi4EY/tPWMwUQxs2I4fIkEza7njLROT1Bpjp34ndeMcdgP+L625olScio+m9YlhS30TLovjhcwZXxvcdiMbWBl0DBhAL/VFcXOe0I8EG3nDbFY0OMjSXmOD6HCpttVxRKV3LKyTSDlTPIHBQLS9/rH7mBah+8VxAZu9LIf8eHH1L7K6/QEMYS3ws3GQL2VAb4eLWXtHiUVKxBsKcCCOhtU9C4efbNZjrXPi0Ac8knXiBTZ0fQ5xWblkbGzY/SNDLMKcYOymh+h/KSoRUjqv1mccyNcGHQ4LttbaMAXU5Bv8NOhw//1xUFXjhDn+TspIH33pgVnPbeVBzcU5Jz0qm3AWUOkpZWjefdP0DGcbd+UBIch8zY4NiQvdOvvI8uTs5fcb84Q0klAEJMQcoBvac3YcPS3DMtvK8aUIqnAZT2ov6bG2sWaaBVJLaUZRvTCfQrlz9JW36SgnaUxNGUiNJvwfEvopRGWpPPv1XByey6VRlkFOmsMKDb3GeEtkbosoCsVCUtgwU2iyXOpzGeweDmhQsjKN/xB4MyM1RUhwDc7NGiEb9TXuDG+7daASvtzkNkaTnnAYPcTKNYuLOkDrVTlNUS8p005RZio64luSqOkq5DWWDeElpS8yopVcjKIkM4hPp7CwA7/XgZ7X57swd8EgNP7v/tbbnQh4qBdWdHp+9++HMvE8oNTPkYUPy7DWsz6T7ovniDfLF2kT9g5T6Pl3HUgvKc5iDWuPN5BjMzidTaGgUnjKmIYHeo48qj7JSjP0zO3mZSRltJbhqnmBmsQyGy/YkAFhLAfpHOk1waOVN/DKVhIxjPDpQRxWET4qb/m5XJZHJIWC8oQ7JnlmBt8VkAxwA4jIEuTExhNWUuq6bb71sJBzxfWcJ8+sb7XX4G7B7SD6Yqu4fw5pFL2MI1K/QdhmkEDMTwoIjGAXYVNj/B1gwF5ucsADC52GSrMY8GK1n9zYvn6NgZMFQibIAzINz9VdhMazUqrO9vUkzsHr/yIr6XXiRyOjH3SKvmzQOZNPAM7nloDGsu+tYjGh/q/kcBgrZev5Ma77w7YLm8d8ZOW7DB4/s9D82o1/Z0QZh8fiVH3vNmxppoScvLpHTZAsETHH8pAIpeaJ7pg2iKMdtkI5gj8aI1cCFjI9xvOBY6Db2XgQh6L7kAD5bC7VAKAFmhfdQI1svM2JjfaZQQA64AU2cxWC98YKv9HJyOfotYITzo6nIkQ1vkr6ilzUHPPH+BBsAiO5sYeh1MnjHRpsF6Uh07TCXTRooTxQd8Xi5/bWgYFtx3xK0SGnk6JBmGXKyLFPie8djRrllGtdvuocqc2tn34o9H+2j3mXGyh3gX4gHQ/91dBZQKpqu3DQPc/bcnjyOB6L92ffL+Ulq/xh8gbsR4/fkrcEMLo0tUng9xXJ2MPjgwHIDRFsHNqQ9rMYP5SgBSyigrxY62kRxgc1UK5k1MYwMjJupEEjPC9DJ7/Wx4UCwBXyxg6Y2Ahcw6ZyHnbEHXJQvMQiRkNGkUnVdJZk0emV0qocQo5vSbAstF3OTxYHWue5AmrHFBD7tzZwFt355PGswxlwvMXOx39P+l4zm/d5WAl7+5Brz8vzRO/myudbGBF2/HsFhVKhxnkrCQWhDUmTuw0Y0AwLCYWUv7ODQhQGkP8j4YYXFnBKLtTcwxAGPKqaS+lGqyKBPp86B83rirLOTE+Js3PKwXydO7a2sm7Vw/P4FYHxADRky/kVoBprSCEcNlSVI3FulgacYiNwxNi3CNnYtYyFaOexS3jJRx6L58RIrY4PRjlz2aRg6YaPxoB1max6EMD9ciT4c5Qfs2AXyxWJG254y+p1wkBswQWU4phBKRyce/8WNi5ye5Rku3fvNxWnnDpnlnVBfjBbFjc3MCQnz9oMWPYnPgbeqCAmiVuAVZxY3tLFeh5E0H8EXauGTsuT+2UP/Bj2lq3+6gNqJcMiC/4REaksOZBV2UfuYlmm5vIy2AiXKUs3lFd5niXYVsYne3nn7601MoI3EH11cSeHGBKTEIRtYISliW9r5Jlv5AZf8siOmOgxFhMfiXFSkhjpy2pJRGzzVCyV9GkwBLvJsbeV4JNaRdDzHmuQENbEm5qhjUXAwmL5AQ6tnzKz0EOvAoXGAGsKHUS0CanDS23BW/+CjFwJwwISrTESw7AYRZIDqoA1hTIwFF9CYrnb/ItrSBE8gSlPdkY5NmAVjKgMEQHJeaINgdqrH2x+a6FLLMsS+kx7FYrHSmHjX9Et2ZzZuycH2+DXWw8/PQTnENUHTjPjCa/EuJ+LMcUz/JJ0LbXlu0iTQEUUF5Fubfki2wTVVTSdkILV/DY99dMuTASz4N4GX3Wzvp4OHIYBufl7VucgCy1YM9yC0UECt+NQtgAbyiNhnviYeh6HltuUxHBbCN/2aGj5c9xMd85ZUf0N69rLWxsLI91ktatiyaVq/+9CVPRfGKGaowHaBkp55i8e7YIGg8jWdigd6OHYw8qfMG24+y9pS4b2xA5/UNAG9GGzH1QtwdtHujFYLvBojvxijJEJMYsDxG6TD2NJl+lbucRS7AZiQbduY6lHtmYI1Nh/NGPM53qRsCtt3uQdlK/8mTZMW9BStDcqL2gsV0rbLwmj+xTjmEQlMB8AfabYsfCOuUJKO/suEOlwF2lnjDze/NL393hhqaIttMM0v00490g12xB/3u/+6HKjGyDGTT4K+nyNgzgtLFpIglRoKo+abNdPz+BwPCkwwsmn8nsOF8AJoRm+/n326j+laDEBfMtfG6nNP+LhnOnqai7HjKSFEKz9Y7nlLQT5mrVtG53/wmKEhWfPvtVAH9Nb5ePZzJvvWtfwSYwGVXoS2Tw12by2Wne25bR1/56t9CSwTsWOH9BeDqtFLzMz8jK3TSmLEnnQ+811sN178CgGzS1gU2zwj+SHfxeWCrpoXQh5lrH4q/Z7HtgxrsH5AUDD9mpww59NTTa2EzDjFYrDODmKcvYqMtbnEYW6WNx6ngIkDUKdhG47nHo5+r0CcKCfjSDL2iEegGipeiRNiILwHAB59AGpWUHKnLiyjplg0UXQzdOsyBm+xrSRvrc+T7IVjb53tDl3suBVPqc7vyZt+hN/7YRG9/4B8X6JCg/M431mDO9SX12Dr6P587LwAnoVoiYqBP3ZxHv3yuETG4P+AK+UAqyFPREMqJVVPd0G1pohkwXFjEvwjXlAVWq3cs9MAKuncIIPTcwgvixEchyu95/M+A2TUM0MUexs5ZjhL0Qoz9vA0bIHqeSwdOT1FTk15InHBSIGtgD001+2JJ7/2qlm+iIU2tX+JH2hdJSBZ1db1Gr756APfjb00913HpApD6jW/cTv/8z/8815/8j/ie8/tXCXj56jXg5X/EAPtTu8nLBbx47zNaqaRMBFUpAGAmkaGxMEUwyKbIAsr/xTaQMCUK8uL+4ldkfNwUkN3XoSxHXV1DxoLl9NjXrqesLB/bQfz7TrBefhiE9aJTg/XymWrYOYdnvYR7dgzEcBa5vZeBmClqAQjTBSejYEAMA0znsSgbwrAD+FwpyIyUF+sCAmqV0gbdlwNA3xvwLd8iaO+PpqH3BmmiA4ufA8E9NrGOfjAZUKYz29CJJks8dA7g/oLsCTNfhE0SxMVMifkCuyAODkvapTW07N476M7b6zwlF77A70qN4X44ORz94Q/9HB2Yrp6KkgmmqYtbDMopVnz+85SKjHOoxhTVl772v2BFOBp04VcuW0VjpTuEPkiZgkvMoTfI7inVYcpsVREsyJN1tOkf/5EMlmj60Y9OYDz6AqErBbxYAHa0jljhzOGO5pfCFlh1BmUokuheibKiVJQV9UjKivg3hcvLkHEfo6Fu/4xjNPrXuPpuujDpo+mG6s9MbMJrcmGaCXHQuZDaohD4TABQPALGBIM90qZSRlMyBKbFpXjMSmF3JhYfTQBrpQAJKX3v9GyAtL4WTmAclHkAG/DS6CJYaSPQh5E2HufXQ0PBjMCR7cgbWgwBc4n4NxvqIGiI8sZ5VGDM/pxLVS5eHKUeiLiKW2pKLNgu6QH1/+LvKKEzkqI/Q5YLJ2cdt8SfJ0GvSTeKgDoEZduJzexITgVFVaym0cRaQR+E2VHbdx0ijc5fcNI4lUO/e24L3DvCW+f6nR/OUoWglZ9EBnauLQ01/qtXpsJNbW470Cv1LkW6ftYPu+22UirMiqUTP//5LOuOa84cSN3aoFdhgr07W5/akcXnxpuMFAibxsF1jdsE3EnY8twJIK5oqpEULgatMDfLFGSAiLULJUcC6wVgRUDLKiJTlDuLrUZpXnGRjhLUblaF52QkA3CeVFFBGSjfYftTJZeWSWvtIt2o6HPe4DADhkuRJpEwYVFz3mByG3FApywaDJEwcXI0QMUMJ9yacH9zbTyvx4H5kgNx1WzM79x3vNmawqbwJ0+fgSCu/3vkf1wXXbfhNPQYzlBpocZvveR1+TwSENISI3M/mC5PG6HhMwogUYWNo79GXLDrnkLZx2u33SkIvEvbE1hvl8cFjx/e2tdJHx4fDmDbhuqbZDAtZVh7bCgV5sZllcU58YKmVQzWvXV///eC7pixx1+/RACb4xIo45HPU3sfrK5bJ6DVZaePdv+E6rvhbCRzj8d5N8ckLcs7Qxu3f0Eo62ZgSCjFxP/TATxwffTfNINr5TlGKJvEPM+bXHZfP7GcbQAAIABJREFUZEAmThNP5Z/+PCXm56H0BKVz+DcFGBpknKTuH34fwnS+94avTVUM2/GvfW3RWC98TKPlJfQdb5iDb7TsYFSzbXRHZzkSKFuEcj4ZQOHOTdnUA5FWVIBSYWcjpZ/YT4qJQbhPukXpvU2Lvq9Ex8SIxoYeGoVNzWBsiUto8YPaWi6Lj6UxALlcchQLZmryLSjhXpYDENaHSKTak2l1lE+bbAAitd9/oxWxR+jN4oMb02lTVQoSbDP0L98/DODNf7699YZ8uvmGktn5gd+Pp15rphONoed/vs8v3FcIHbtR+ujw8Ow9M+EYev9Uoh4XWCjW9kbMgdOznyvQR+xkJE0esgj1INiWcwVfspGQKYDu4RhYkDzXShvPdewMp8Eeo/azn6VCgC7MoPMC0QcOdNKePe1w/0Py98QfA9guCo2arGseQrl25PlqMdalr3zFRk8++eS8X8M/5x84//MqAS9fuQa8/DmPqz/Ze7vcwIv3xplaXLBjBwJ/HY3ABtXKgnGeHY0B2icX2yciZsz5WDaAG5zF8ZbqJCIoUWEx57iQGTDJK2tp19cfpETYLAajLz/zehMdPicCIjwXeM+2LNqxLpBFsdAHxwvaNGpNOwDCMBDDbJieIXZNcglgDGfhLiAgtESoYS+Cwrs4Y+C9Hg5+1taehmvMYWHDPXXUQmNH28mIDYCYLuREAOHoQ7kG6LDexkGTxYpSDxMYBgy+MM0FYYQrIYnMGZU0WbGFxuLzUbKlA21UJrA9OPDLx+JXmA29AdGittD+ifQ7DiI/AF1aqHEXcVNVELPVITDzK89ABLAUWbU8ZAFDNX4ex2AJPQqXiBHoBbVBRFmMU7C6vW37YzQJ1xFmcaSdepGmO/zriDmgvPHz91HRjhvoxz8+BeFif9bSYizK4cR1o3Bdoxg/7XDfYU0Sb4tHydjykffI3A29D0lLXwoXBABO056yIjbr0MA2m61PU6qXUOeRMwG/kWUXUVP2rqDgiPfLdYUqygDjRCp0Har/oxBo92CMdYzAwYVZLNgQBAM0MgFMcGws/swGkATydpRss5B+yL/PmbGzdWUKbI99AeYUwLLGdkNQEdXMtDiqLtPS8XMTwjWEakUQCizOBDtMpJsTacyKP59B2cHpM2BFSMS016/LEDYUocAcHZQz4tv3w/43kMHEx1dGzVD2GNwgWIk4RJuuXk768p00Ks+fBcSyciDSve0N/Lf/BvbihZvp5PF0tytLty9ojnSv7KJWCj2fE6fnDr7ooEmyEffvZb6EO8flfpci3V8yaO433FBI69blQejUDYhMgRFyHKKipgF/tyMWMmWwgkVDpyBeyyCMC8KoiUuqaMTgon4A8Mwg5JYFF6BUM8r/YMPMzRKNkqMxWFmTnAyKIKwX2DM7skspLV1D2XAFCVcKw+AFl0FmonyHWTCpAGMuxRJVYExALJQtqQeOHSP99DCN4frDgS58T2kzyaSKmb/7l/eZMJCUvnKlAMCkQq9rEDpdP33mLObt4GN+y8YTlJp+DD93Uj5se3MyfeL0XGLU0e1b+4Q+78+m/qcNAujCzNIa6DhEKjHS3norPbdtBw3jeUhbCbSPvoy0fziHv9ONo/QqSo+GIwCPsdEzlIpSWGOP//vPa1IZ1uG6B+6kOKxVTRDZZqaVEWW0BjD3ONYwYrMth6B8X0yJX0nK4Y9+Sg09cPe7FOAl9wyt3fr5oK9NpqWFLAfeBDgXahMDF5uMTLKsuR8lzW6LXgG8AYhTMgLmyPH9hNuDFosbtGGAKf7hz1A0xP9Zi0uJtSNO6f5bBXccfmb832qwb7xC6FKgUcr+4u+ZbP8F8IWTVf6NP2tqGZtlWvd0b6ITp5YJYL4M84AxZ5oSzh0jO+IBGUo8NQkMfAZ2RSqOUyoIzvuAuYaGIbhL+jNJMgD0FcO9SpGoJcfOcqLr8mmGAZcgx1xmXUIFCl9Z0MfnhunlQ4MEr4agjfvvWyg5unBuhF59q0NgNXobg0Xf+eZaOAL6ypE+ONxLr0GDLFw5300b0mkV2Nf/5+dIBiCeVMaiTN08TLIhxBs950lunQJAGkhhKcoH2yXdx3YRX3BrzyTeZ4jhzpH5khM3DRF5/3eCk21qCDIngP2swP/Ogf7gErynwZh/k5Nm+v3f/G/qOnoGDFT/capauZWG1NVh2S7ea1+Mdeka8BI4dJ0/ukrAyxevAS+RYqFrn1+GHrhSwItw6ViQ4jFJFgGA4Sz1KFTgu09cQDZwYl41+BxomFFmkQLaJgscSpXnSyuTqXT7OkpDSYi2sNBvInZrvTT7CZHypelApfw2WC/xIgrmYna32zXJBkYMsjwQXWvFxr++WU/nWyYDanCl52UHF502eO1pje4Y6VrfpMmeDrKCNRSsxMIxzeCLBdlzs4fO7z6DHbouXHrEAIQghJZfQuPVN9LZmCXIHIJJAEBL3Lj8hlkJJQhuS1E+UAAQJs8T5F4qzV16z01//CMd+s53YBfo2yhycJUMCnKsWlQWgX8ru+suKtu5M+zj6sbGoeGZZ2bLAvhZtHQj+PY4D6h23kv9ccXCMdKMbeQ88EYA2yBWrSLTjsdh3Yv+hE6JFHRYjEU5FPDiAoOiE7aSvSHowBXxI6Q7+xau2X9zooTmQHpVKXWdOEdqMEY4A2nAtTNQmVRcQC7zNOn7R/z6jvvZuu4uOjsRqJXEArrrSuOR4QSTKgJo6D2oHYFyO74/bHBHWU68Cwa8v+YgoIYCwXcG9FvEwVFpqpyiJkx0sSV4WVB5gZry08G88TxLzmp2DZsgzh0IJHAWLgNCsT14H0KCH5oYBJqJgr3kQhoL5HZ06JE99d/waTVylL5kAIwJXOw5W5xmbibHuQOCK0awhpkOJUZ9FCNmsIm/yJm/levoYuXdNG7xbXx5k7BlxylKST/pd1i7LZn27L4H+kTs3OakUTgwtXb4X3O4+2fAr7oigY4enzv4Eo8s8paNmWB6hGe+XM53Kdw98XPYuDGLbr65HIzCwDl3EqDL8R//mCwhnKQY+GDhWgOAzoHWbrLHwVXO5BtH4HNRiamJ5DMegBwTr9EOIHTCQObYZOgQ+G/s+XpS8jLAZqmeV7knl/qyAGsmAIxMlCOx7kw4YCDSOB+a6KODp14n44lGMvcNAmQKPka1jgTSRUdmj0Q6nxAu4B7UyGLnwqHOqMmn373RCeaK/7jZdt1RSk45gW/73qlyuMekJkPvBWAEuxiJdaO4vKj/KTj8obyI57nqcl5bwzNdMx98kM4CzHoTQsjSBgFE+mtY65YALIrUhsBYeOm9dmrumg5Zjpw9dprMhz8IqmGhwPOsfuIvyPn+szTSMQAmlVUQH+YkFO+v47JzaWLFAwHz6uUGXjgGS+35iMzn+DmEbsrKOhor2u43t8MigQqOPS+Mf3FzFVZQ99JbhXtxi5JD248FmgW2DYMbbpyCderiUarIQAz/bwZqVADjmVnD/8bi5AzY8N+qOAslaH+HcsFegZnjTjgBO+g3uMFRdCKPIl4XWppvo46TMWAWnifLcCcN8nQKQChRpwwKunivPRc/zhNc/9zHHmQ9QLDdxCxO1mq6428epqpbdpEhzkQnqd4NvARpcmeMUHKUEOsruXz6vTY60hoaJC9OxzX2jWIu939HN65Jp4fvq5qNh1tguvCzly+GZWKV5sXTX91XRix2feZgMynGO8nReZ7s+lFyAjXRIG42ooxHyniNBTizvJrF40OXGjbj/GMo045kgipHaWzMYCvFx7goAbo7PK9xqblSgzIs1l4EyK0pKKC1cGhVgGEfrPWhXL3+6adpuG+cehGDm1A+zPMCx3Tm9Z9EPBKoFxjsOIuxLl0DXgJ71vmTqwS8fOEa8BJp3br2+WXogSsKvHiuPwoZ3yTUdY+k1FDLmW6SnT0E9buuoKBBsFvmRZfrSi2igFb8PQ5Wa2thoYxSiwSIsGZgUx4PZNwbeD7zOrRekPGWtvt2ZNG2NYvHegn3uJiBwXo1z/2hiU42jNEANtV6CH8yk0HKgmHKbm1VMmx0fUF5LFkprf842ZpOkWxmjLRqlBdR6MXYMekkBxg3M1ikxM0JQVWbPJtcudU0jAyEZdpCKbc9RNbMiojZCDkCF6a/l2FxLgYYw7W4WWnuDMelBPljKEd7H4voJKil4habnCxQ6sUgTzayHLUPPxyWWm9BCcDB732PzB5HJO8xLUgbMfhiySglfe3tCGJ5XEVR6snn4QTVGfD4FCuvo/dGCgQh3cosJRVBTNYg2ggsxqIsBV54rFvx/C8AKGDAJFSLQynUismPUMrXHPCV5IoSirchw9Tnb3PKIEw23I+6DsECXtLkaVnUWHgbWCG+TWNxRiyVp8GFRbL5CXVNPA5MYMU0IlMtFbW2IeiZQBlBsKArFSVMCtbbYevKzFhS4j0x4lk1dxlDluddvy6VrJgPvGCKFSypxg4DMnH+fZaEZ9baaaI06CZIKeB8H9zfm5Ynwylk4ZOt0+kA2wWuJshAi9sqlNqoVMoAYe14uY0S+w6RqfVCWMeHNGzW1WNgWwTJLMckqCll6Uo6seReAFz+pRApEDfcduNr6Bt/4KqzZTvYLsWz18Pgy7gR7MMwujfSXonDhmb5Ui0dPBLa0lr6Gy7b2745C++RIyT4dTnepUhPNBV6AvffX4mSlcyw88kY5oaTP/uZYGsvbazl0tUDAUiw4RQQNY5FVl6RhTkDWlEMqPFmJcs5Sqkmdv1zjw+nDGwXzP0gdNFUrG52E6PGu8ObShasT4CeSwLWsIWUELGOig4OM+lYCzMBXCuhgzAfoNwGjY+D9iNg5ACUw/7Q0TREtpOdNFXfBGcQaNx4dl1xcGFKpeR5HTvSM+HP+f65lMCWU0VHx1JozBwnZOiv33qYEpNOCa6H0saASg+017jUxtvMfVkoL2LQxT1W2WY+Pyc8SJT9yU+SHKDLv+PdMMkCN2frwHZ5KALbRXptDL4cPjsaMCeqXUZKOPAsmcfdjFy+LxbKZ62bGbzz5lW3U4xxnKLq91Iayv147vQyf6OxwY3Zgnc/OlDf7HIDL3ytqhgYHNS/ClAuvH2zatOtNKAq83vvq0cP0swpf0tsfuaGXY9RHwSyL6V5gRovcJORMU4b1u3Ge+TWx5pB/3I5G4M6ArCDqdM1CQ2xs3CSO4jSOpRsMcQTA+aLJRsbfQ+o4mbscLmRaMPo+Z+lyASmg33G7yo/vzNnhoS1gBlpivI6milYRZu2l4FRVyq8K/W2c9Qt7yVniDKojJk0WkE1s6VXk1gPv/96Cw3Clj5YGxo2khbsOy4ss3qYsRwTf/0LdVRYAP0YNAO01n4AvZZelCyHakkaGT1xXTyNQuT8vWffAQA17JfY4bWSGafTQeLwYrCzMtPdbmbhWhOSruNwGgsFvkTDDl412SuAsIr0LErPTqZkXZzAKPQ2GcCWNbAuT8rNDXoqdgU89J//OetOyaX+Pcy4GYHZQu1WGlDCCCQkW8v/kIuxLl0DXgIfk/PnVwl4+dw14OVS5tdrv11gD1wN4IXLhdo69cj0IVioWIkFrZZU0yMU13yMorqDa8B4b0+JrEZlCbLRlhloKIyHnLBZCKuyMsUtSodJWwdxt7Rt2ygemT8W+PrBfwc6HLGA2Lc/W43MyJWzP+UJ/xfPnqELEATlRd+CIMuOQJZFU8cRNHqBGB20L5aUQXMCC3+isZPimz+maTjTML2XGUAO7BSL80ZBi3frBwRrjjEcG7RtJ8oghIZFMaE4H9Z7CupskyObiNIibKTiUUagvO0JBHGp89K34ORGIsoJykAxLQIIkwdKLQMxblve8GKi3utl0coDAEm6dkMEVCJ/n8iilQBfvC0ZIoNrIMQX7tiCjehrr1HXu+8G7RNXjIJG1z5IJ/ugeQNqMbNdHPtfJ4fNnzkiQ3alPhtZsCEfEJEDZsZyiI7oPRT4xViUxcBLDFgug2BdtMCCOZKzB99caRw2dBdQw2z2BSVxYHhoEajEl1VQ24FAgCUxP4uiXQ4a6/a3nOTjOdfcSqeNmQItfHWJmjQI3jhTNJcWDdRkFGVqzcP2kNc+hXc4mIgvu/QuLVTTknjYx4s0n8bNdjDEgteiJ2ljaN3SZD8gbJyFdpt9ZYVanZx6h62Cq1IyNi5KbJikAVdNuZaSMP4jWb6H6gPOovYPTGJu8r/OBMwt69dlof/8WTQp0SMku/ARWUcCa9fF54hH1i8d2cZgFmrxWTkAknLo3NJbqBm6ANK2cUsTZebs9/tnJxxnPnz3AYxd/4CHg9JJaJE0XpyaMxDOLhararR0+Dj0DOYm4SLYjF6/JVt4XsH0gRb7XQo3ZllE+frr82nLFoAbEdztvMcZhsX8CTBfvAK0PM+MjJlgyT2FLL3/OyLTATTfdjc5xoYperCNovtbKH/kJMXYfPpK1mglygFN2NxryAFHowSMQRYc9qbXeSOahPlOCceaS2msuZYFFkwq68FUVgqbuUibo2OWU9ic+M8PvOF0jkJv7VArTR9vxL1NUYpdC42LuWWOF3oPfXAgG9MUUeUNBDbrRWCQ/u4k3uOy6wmLyXtFX8092XAvAsOx1w26qMG8WgpmbLiMfMb991MOYoYX4YCyTx6o/xCDgfstbAzTF2CXzqVHb+ztosExOK/geniOze76kPQnjsAZxoH3CIxCxAIsNs6fxxSU01DeBsquf4nMYIcwSMDgC5cg8VylKqmk0YqbA1x0+F6vBPDC50mMmiD5wRfJBsHpUC0a/Ri97SEadfnmqST7COWcfJVsBv/fOUuXUXfFzln79IWOGenvykq6qa72AyRajNBJs/gYUUboNjXCcaxlmCyTYHQ4YiCmmgemMt49HdjV6SoagTaLX3Tl0bqZZeF4GDnFZhspuVQJD3ZiAgmtpAKaKVlHk84EgfGjVivoS39VJzhxsRTSCdlxN7DpadJ3ss5aTbkKX1KwHgYNT3/YR2ZJ2Qwn9BrgpMfJoRtLVJDRwfjCBVdV6OgLT9QJCTGeq556rYmOXwhcSznxFOcwkFrfQRXRvRRvGqOWi8M0AJdRabsUtov4WI3teoAv/jpxPN/JIU+QnKomM7TomMhrNZoFJlhlYQJ0j3xW9JWPPEJF0IYKNY8JbJcgtutWmZJGq+6GzIEJ7OW5xTWLsS5dA14C32TnL68S8PLZa8DLYs2r144zjx640sALa5uwiC5vfrwrmBI2xdGVa8icXkkJRgiFnj8M/megXgUrspdBbDY21s38YNX44SALgvf2y8p0lJ4uClQBwCRhgk6DSN6rh8boYEOg1sv912fT1tXZEYPReXRxxK8ycPKDX0HMcNC3YeZyBV60rciQsibGGBamJLWLys0NEN08Q1aPHZ4J5UW8yHL5BgdvBTkGLOa8iRMvJG5qLgdzzmFkz8aNFKNJIHVFHoIabJY8tHGTORlBQR4ACHw5VkWK2z5Nw7bIbiehbpD3DQnI2pZB2b4AVrR5ULdnnZhQQAxT9I/+6EfUBQvpadYAEjU5yotSsFnwgizqvDxa++Uvk1JcdhTkQsYgDnn0+98HgyE4haH83nupBOPhxXfa6BRo6eoDzyEj6p+1m8EzmCzZREemCgLIBkm4vw3l8TSFAOfAgV8tmp20HQFQx7iNhkLoGgTrcwXGzGq4r1hazgsfa2GVzu6TDG4klRSirAiBZp9/WREn7Ao3rKCOA/5lKPx7eVIKjS6/n4qS4wDm8GZgbotUFLJgnXi9u8fD78I5izsBYV6pXXS+FkLGuhhKRbZf7JTkwBhvQRY7lP3ziiU60kLtz+si5MKmqLHTQGPoR3bPMWFDMwDghZuw0QEwKGa9ZLH+CwAfb8lSxBc36Bdgswq2ixH3JW51cPXRalWzQT5v9lONF8h65uNZAedQ55NBuyLX2EPRU/4bk2hoj6SVLqEEu4L6CmroaOrKgPp1rXaGrr/5dYC6/g5IvV3r6fjh6qDPlOcJA3RymgByiTUCwvWHHGjZylot7l3vpz8U7jdcCrB9Myy+jdhgSmxSFyPADaeXJIwBTHNrYXd9002llJo6f0CjH/bLZ371K7KAydLVPUnDYLmEEpmWwaHIufF+JBugURFtoZXGAxTfuJuMQ8MoW8RzZXaYS4kNnw0bPNhRBwGqeQ5MhnaLjFUtL7Xh+Mwg5FIkFuVNxHwqds7xHr7R1kyt8k5k40OX3clQ0ZB7CIDdqfOCnpQT2fbL1+CqhPIPV8wkqUug91WbSYp8vCEuZnu65yfeWI7rsaHmckpsmO2D+XAvmsS1uec+Ll1ZCs0KDTbRoVr63XdTzvXXUw/qcJ/EcaxBnscusF1uQSwy16SC9FxjKJ9k16ODcD6L0/dS3NGXaRrlfrxRFpcMK5AIGln1AKWON5INWiPipsW8lpyiItt1j9FYiLX6SgEvfF0Z1nayHfyDwOwK1RQpaShlfZAmIfDPjUkR1f0fkb3BPzHAQu/juz5FgwD0FrutWn6aNIkfgxFioSiUXDubHGSCeKx1ggEX37plt6lodLQA76M75nSAFTcKZ7NILQprW5beRNFwJXNVroegvJL0YDXz2OO4jv8uLtZQmpCYiqL4bBvFrR4iO0qOGExjwJD/MNuZwfy4qFhaaVhB8Yp4oWwqDqVU79YP0R64yzFZwws66Ccg6HtRL4z9VLCR12aAlQvW52cfXUJ1y7KEy2Zdlzf29c+WuzFzOTbaRgkTnRTVw45E7ZSkdApWzmYkR85eCLR05+SIMgTbpaQAAs9pkdku3j7kNYaZL6y5FqOGhmBBJblyysF6dZF172tkFQn2en9Thb5L1MQKlvR1jz4a8h2Usl3Ez630zjupfNcueu+9FtoHAewpsA69DKFQz3cx1qVrwEtg7zqfukrAy+Nzi2kjve+X43OUsS7E1+FyXMq1Yy52D1xJ4IXdHVqAbgcTrORAMy43n6xlG8iuzqBE2KWqzh8iV2+ncMupKA0oKdT5ZaisKD84e3YopABmDDaidSg5UqKm1q+x5ePy9bQb9oFDFqXfxi8ZmfN/eKIKrJeFOxwt5BkxA+jnvz0fspQi3dZFsW2HSQdHDO6rSWzs9KBojiObwpkxcUtLtkDUbBCLsWeTiYXdm9l3wKVFm1yMRXeKTFDn9zYOfjggoCgNGDSFcD4CVVabQlE7H6Vx68JsKKX9wAGFShlFRQBf2CaT9WFK8nwuFKdhj9m7fz8NI0MhtTLVwq1InZEhHJI3DGu+9CXSeP47VH8Liy7U46UlS97va0G/X//Vr86WRb31m7fo2FO/ISv0R7yNqcjsKnK+6E5oYAQ/E4gdtLVKQ3s/+DloxWX40vw3ce4jswVuK1VvfJyaesxkFgnoznVMFcXpKbfljxBhhdgiwBLWAOAmQwCXv6aW2g8Gsl60WakUi0z4cLs/4KQDcJO59SbqppI5U3FnsBFoRvZoHJvpuTQGQyYR8AjXiPFXngSL3RFkoFA3fgPKh0woRxE3g6fkSCpay9/h8bV9TSpMMny/MYK51NhmIDlq/y+2+5faMCioS3C7KLmto5NDli/O5V44gB4bM9K58/4ghwoB8MYNWQB03Iu8VmEhVfs+Mnf4l9KFOkeWbYSU4wBTRTGCEvbBGbnlJBufJis29fuW302T5kBW2cq1bVRYsheH9j0PFzb4+z94APafod9rDoYnwZxqhhXuXAE3FnZcvkyL+zcElFmFujd2f9q2KRP6VC6/8yxGgBsOeMnOVtG991ZSWRksjyU2sHN51vwdDosOv/4+ffh/f4Hyu9CUfe/xZEnp5Fh3N03APSMBG6xPG59CWUMn6W1y0g/Cdhx6VmNcDgph2miIRQYTk2CNNC30DCKxVOZ6D/w9Lv1NAE0/A+LkWQBh4pBp5j4ZsA/Syaizfk4rwY5ba6mmvNgczBEAReBuwm5I441gwbAbUiQBh/lcKL5rd7Tg3oex9lkEjako2FXHYf5KXF1I8SUKlG2hJBMApZdJZ+/LI+sbZtjP+3SIWIA3F0LFofow+eabqfC224T7+S/Un55BKZi0afDZ37NQucg+OtKt8HixANBs65yES9MkSh4NKIeaBiA8Q4ojL9FEa2CyiY8ZXbOZxuNzKb3+FSRcAkGt2BVbYSqwAe8cAKIgultXEnhhfCpz6BBNn0byLExTllSTvmIXrtc9qaXZBijjFJycDP7l0o7KFdRdvHX2e5H6eC6f83NtbBmne2+H7pX1PJkgEG4eHALLNbBvGfhwOFJocCjLswZGkS0DLFeudQ/TYpJTiNZtoyxzKg2hXKkF4r1D0B0T6xFyMoBL4r3zT/pauOzlAOSQiBbyOOVtaeyojuynUwUGkBCvYb5tQ6zSgwSHjB2l0PkcY/N7waEc/6gmTU4lYDTfsK0QMa0CelM2+v2eXjCroZcCzbdE8wD0U2D9DAtoG0qyuWyQNXJqkLSUY15o6RiHuHVgv2jB4JwKou2ihAZgHVyVIolVi7uOS4V0YORecKRT+0wGGWwxJLdPkebQ8wLbJVRbu7mSbvjO38KQ02e5Lf1uH8wU6p96KiDxJsdvNn/72zABc8dqegC1f/hDI5yb3GyhUAD6YqxL14CXwCfqfPoqAS+fuga8zGXOvPadRe4BBl4sqH/06ZzP7wS8TA4hWPs0LKPDtUHUnXZCT0OqKC79TQxb96EO1pS7AgGfilJMPVRtPEsZrsmggdLAwBS1Ay2HrELQlgLAprw8eN15az+o4bkraTK/FhRQADCeYzx0Qw5dtyqwVnp+PTP/b+892E2v7u70C56UURZKGz5BlotnBRs8FrKrq04SFrYLF8doEswhzhazLgyXKfH/5k1TQryD8rOHsKE0zgYM8qREStxeQWb1NLkOWGiiqWn2InnTxI0X+ZgYJZxHirFxV1BUTinZN9xLhhB6OvO/S98veKPM8UsZnJvSB4/R9OEPKWpqjIxsOS5qrFHAFtJMi5djoVxfj20gAAAgAElEQVSB8qIUOBtFahf37KGLv/990K9xvTXXBadAO4EbgzQf/+u/QqS/FQLIRgH0cGD1ncCCbK3dRadMOWHLruQMbg09R239SlJr3QDRfJtxcpBKCuyUU/OZ+f5UuDZmKmQlxVDJ0D7qO3pC2Mh6s6e8vGhysykGQpBjPe6yAfGSk7cWAe4RN+uFAZBUCMxyaClTa8m2FlaLZhbJcx/P28T/m+vdjSiPaBy1zwswYqbWBMZwDOrby9Rwbeqbnt2AZ6bGUk2RlqZF2jZ8+j7YdIayl82HbkMFGFbekigOUHv103AxmgwqBswsF45zN69AoOzpr3l3vucHvH8/fXqIJkXlUfxR1ZJEMO/UQjCX4uon15k9sHgP1AcJdl6NcxrW0nBzgHaItyUWlSIjCaq+HkAS5oGT1z1I7bZA+28Ogm+8/XW4hfiXiQz119GRA6uCliVIr0E/Bc2Xzqk5Cylz9rSmSgshZIOgWzKXxpsbBl94bfCuD4sR4AYDXlhceefOAtqxowRCnJEz16Gu3wru++7322jP/j5KnrxAlqPvA2SIDDbGpOeQbcUdZEC2f1fcUapp+W9Sx84QA2kTMwrqmpBT69kBsqPuNBRokQTWCzvbXI7Gc20ySpC0dVXUU4FSVy1KdqJD31ehLZ+qZAAAJeDVRG8vdR86RP0AYZgBE4pxOJ97sM+0UHSMuySP1zk9xGV5zvM2OSyoNTW5NIMyV2c8dKHak2nkd+NkHZqEgC7WMi6tVaPEqCJFKNkN1lJuvJEK7rhD+OgsSu6eipLhWQRuCu532GgzNozhADDe4HNZdUfPBHVDTL+9y0AtAFt4jNtEJSKZpmayHN4tbIqN2EiL59VYsEO6lt5Dhd0Qr21rDLhkuS6ROpY+QCNTUbS2QkvMgOENsbhdSeCFzxsX4yTd+TfI3OW/jksvPm7dDTSkrXY7UmL9qO7aTbZGN1vT29ipcmzXZ2jIunCXLOl52yB8Hm0cpTJ7A8pzj5LT7u9S5v0+AxvssMSP3ziVBaZlkpuJhGs1gy1pCCIcq0D8atm8gwaWrqERWSwlQT+m7tQADWJdO4dNvd0DNHnPUQXtvsTEOLcuntxJmTeM0mRscBF5oW/P58BW2e1GyQ3au3RhAkk4PHMuUWMAwStX4sFe6PZqNUAWiD9jjR2ZhgMWBMKTEFcr+8CgwjrkAjuJATN+BhwHlubGC4wa1qdp75oSSoUF8IfLqvAdjtuY7WIKIo5fWqCZE9uFNVsSwLLL8DDuVJjP2OThV680wnFympLO/oGmmy+EnB6i0c/KWz9Nn3hoNRXm6IK+h/z+sbbLBDRqpK0UhgzlMN+QNmbR79nTCqBsImhZ9WKsS9eAl8DH6vztVQJePnkNeAn5kl374PL1wIco63jzzTcv6QQbIdqXgkBrqqvL3wfWc9SOrgmg5qY5Z075ZwqUwsTWbqIdn7iR6moySV9fT8PQ6bCByixuvBBeuDBM4ygnCNUq4AqUilpRaTNgUTzfhoVHGU9WZFYmCuoAwKhIh+DsO59bihr7xWF6zKdzn3vlAh04PixsBpNNrRTbepSmB33MFD6WBvXBcdhUDY36MhGC8j8+m8Fiw/G/GQGfDAFQTsYoVPwnSLuyjJQrEpFNNWKBQ9nIBALqfSaa6u4UFltxE2iuEBLUTxZAOA39VraSzMuuD6t+P597lH43c+IcWQ+8TVxSoRpGcG0zAZCRCQu8YC0JZwstU+GxKWDQJaOqKuLpJmDreug//iMk7b3oppuoQmQ92Pbxx9T0wgvCZofptRcxZjthAU6aFGosvhN6O+EnaNbFMfW/QBemN4J6scBNkX2ClmkO05pdX4x4f9J3gP+7Ii+OBlDuEKUfJOWBF4WaaGnLWbeceg/7WC9eYUp1ciL0I+LIAgHiQtgos9aP4JaBsZQN++yMjdtDXBNo/XiP/gjr5GbYXHOCm99J/p37b9+f4P+O7kJZXOyUmfTIrHFcK/7N1lUARARA0U0A4M+nAUI0wTFoAgCHPxeTn1EUbVmN0kUWAUXAOIMvnG7Fs+w1zZYgiW8kFoyLLatTKQ0WoZFoxpEeyjSy0adO+4vMMpNmE1xyZNDRSRw9RebzJ8LS8MXnkKO8I3uyi6Kn3e4UsnhYeJdXUxzeXZfZ/e4P1G2kIzoINgYpA1ta00uVyz5AH/nKnqKiYujY/vups3PuGxk9BHdbAL7MtX94T1uDsq92/GYCm4K5NOE5gBUkaFtgc7IYAa4YeBHKGaqT6Y47yik7O3igPpfr5DHc1j5Ov3/tInVhM+VtucYzNHVsX9D1T3pceU4RmWpuofREJX1K/0OKH2uaJbe4wOBomakEWAjXL7xEU9gkzXgy0d7jcIaYyy5jMB9ejoaCVBpyYA2CjoK6pozia8tIVp5GTiyHrmjfPJjiSKI1LjcgHqpZDAaBAdN/8iQ0yfoFFsxCmgC6yAC6iJYqLilkZx9vORzPG7z5jIL7kCK1nOwDEOIFs8QyYSQlNKcYfGHr6IQQJUYpYLoUgOnCzY4J50mU8XYGiQHS8Nnf8uZT8hlv9JiF24a1o6fPDbS0dwO09ACKwVYQtcxM6qMvkGXczcixYfFmEXU7b3axptvW3CG8Ewn1b8OyPPBdcqy+GeKsebMZ+jIwSSvzVIL7kzdrf6WBF74PTbSRYg8/T/bJEDRRfIdLieQ7HqIhV5pw75nmLko5/TbZJa5ujuo11F2waVFYL1Mjo6QerKfozgYwfg1ggcxQeSmPK38HIAYiYpEVEmNuE/pCMIw98yZipCmALyZPCZoMY8G5fDUNrtlCw0o12USe67nQbqpA+enx4/0oewUzTjQQxFqE3AcJ2XZSrR8kUwh192joIsqO4DqGfQcx4fVrGLLCntkCh0x/sFsAtFD6szPXSdNdzTTacJZmRgYDHBu97yTrBsXgpvnoNiAh4yiPEprnveO/EqGVxuAerzkCYCOAMiiHQkxaiPKkaMSTMfiAgSuhtMrjICVHaawqLZmyVq2mrLoaSoerore80VuuZ0Xc+tyTz1Pr668hmRo65lJuuZ2GdZV4RjL664fLKBdl7NKSv14wp88y28Xu/94oANBuYrZLmDL1ffs66N13WwQBeLF742KsS9eAl8AVwPm7qwS8PHINeFnIenztN38iPcCMgY59+6gN4Ijd4/bAgQiXFo2GqX0PdfkKbFgqIKKbXVlMRchCZQPccUCnY/joURp9/32aEdl5TkPlveHccEA2wXtsprMzpdOrDSM+ZzPYMsOexYXp3faqVaTPr6NdyIhuXL4wF4lLeSQcuP3iVwcQxO8lcyts+0yBNE/WHGFKsQrlE6EybrHI7PICOKNOpuJ7Kimp8iwYMdBs8DBiLFZs3kawod2PwHSEMz7+ExDXETN1dRKZHoMxmVwrbyRjTi2YNYs7UYmtm+NQ/hQ92DGbORbotAjq4yqrSa1RU+2nH6Xlu7YKi3m4unoed0d/+lMaa2gI+ihUKFFa/81vkpLp/BxkQyH/43/7NzJjkyP8NwKORogfDkNvYWLpjXRsIjPsI42D4HNVVRqd2ftTajCsv2TgZe2NX5rXENKooikzBZbNfVYE7OzO4BZqnDrtrwfAB1VnpAHMiqbxHn8wjwOruutXkWqsG2K7/s84BtmyDf/wD5QALSZpOw2Rv5f299OoJMs61xuoLYin7WCE/PJZLrMLpK0laeX0d1+ohRihu/TPW/X66+fP06lzqGWXsAz4cx0Enr/yRLVQQvjL352HfbtZmIf0E7ZZu1DPwSDSp6DPPlRKVWDFcSaaj+cGMbx9wAGBP9PHfW8sasnfdQegXELw8istYIrZZoEj7sYllTpanmcl04k90JiAGLYIjOJ3MVwRb6ZtGPRyd4Y/Drof6an5JBv1bfZt6Zn00bK7oMcSGLSwRtSuW9/DGO/0exT60Qo6sHcLrnduYoLeH08AVGqFq5RYcyfcM+YrWlahob4BM+b/yGU4fCwGgDetyxDmnb17f7loekk6bCZ27SqkzZsLF1xWxNdnhmDm+x/BcY31ESQlHTxXZU+chN2yv4hxqD6q3LKK7vynv6aoky9R9Gs/p+gZHyBhl6noXF86NM8w7wBcMU9P0xTAd/MYyhA8wqVxaWmkQ/nlQvVFwj27EccoNpQoE/JutjyuQgkrKklVWwQNhmSApRCLdq4hNTQn5tJ43A+eP0/9p07RCJIo8ylDEjNdpOficcwaaZzld4vS4h2eBuPtItgwYJAowCRSpOVAK01BBWDQlcNtJVifpSEDnifKgO/Huvsikg/OIGyXJ2bAYvCUInPc04oYopNLh2Ab3NEDq2gWyJ8De06Yp4cO0tQZf0cf1r6awgZ6JquUOvK2UXnbH8gkSThxP8jTsqm59A4kBfwZSVrEBRuq4QKFMcqlPFcDeOHrS5vpQXzxKjmYyhCixYCxY9/4CE3aFCQDI6O67S2ytsLxS9TYon105+M0bI1s2R3qPHHRdpIPnCXz6YNkGPFnGybqrFRUMIQx5AYZ+JHzhp7jDHFzuWTQeymGC5InIYcYyQDwxV5RTWMbd1BfYgbs4INvIMvAzI7/uIfO1I8EgOR1damz6xufL30NQO6cUaQjgjPNYke1ZDqWBpDF/TmDH/1QNT8AsVxvSbkK8XNirIMqFEOkHW0n7UQXRJmnaRrlx6FaAsaNBowpPgbfxSiYpWJmFv+OdeRYm4tL3aUtE+xyWDfhn33xQzRAl1gkDGIKKsiZVUYWTS6Ect3ug3wOFTTZGLBxW4IjyWYfpYk//BYC9RMAIN3XyqYTXnCHn4myfCkZAFxzLMrxbzyu+ysPllBupsbDzOHSerBdUGY+ARF0aSu75x4qg35TpMbOR2+/fZFaW8dnRfuvAS+Rem1hnzv/+yoBLw8t7n5mYXcf/FfXNF4Wszf/zI81jcxN2wcfUMfej6mlaUAIuuerEKTRyKm8GBl4j30yT67asjIqu+UWSoEuB9fCD0ELZARsHRcyaty6u5FlgqNEqNrMDCyQJSVJAUDFJIK2C+2TftbJMRCzk6/aQA98/V7SpKddluA22DDg4LTz4EG48LxJJ/Y3BdhK8294UZyEngCXFmmhT8GLVTDwhTMpFtgWGnJW0rQ9hqorelFy9QEWc7dgJi/AQnYQsh6THw6QFSr+4sYLHAcffGyzRQv2Sw45tn6CJuJZfHdxJqtEcy8pDr0q2KxysKNGcOCY8NfHiE5CgKHNItWGG2gkfbnbvjoX1tU58ZSPLEeOJ9MhDqa7Dh+mc88+G5Sqz/ezAqK8GaDTe1srxlHzSy8J9c129ElT0wgy9Qja0zJoAOKyZzugORLCzYcpt1VVbBOsoMO7f3DFgZdCiOeZsPkYQoZcnJ7TOPQI9J4js8Qpgu85e00d9R2v58EkdAG70rAdeFpuKsUgG2QBe03acrdupWVw+RCPtfdP9tPbp7BJmxupwe+QSBjSzcuTaOfyTKFs7vV3Wuj9A8juBxlbN2/Lplt2FPm9hwNDRvrhU2eQgQwe1O9A6YoJrkaHTrozyVz73ggXNPHxuS5+23oImSKg/tZXl0NHyl0rLpU08/639969/y3+3ptvNtLbu7v85jqVfIZuq4KF9/mTYUstOEgUM4QE1o9+nGSt0LPA9SSjrK44OZ1i2e/cfYUQF0XW8fG/IGd2vvBbL2Dk/ttJ8thWSkx7EdeDTSned+GYAOX6uh6k4UE3s4QZAzzexeUa3ofknbMZHOJyCf5uG+bYplaIlHrKG6XflY4Z3rcsKdVAAB3ztce2NNJawGVuG9em05HDv4ZeUikOuXC9pJqaFvrnf/4ubd9eBKe2S9Psam0fpRdfbaFuEcsl8H5dlDlyhKbrjwab3oV/UwGkLS5ASYhWSRmwKV56/z1kffIJkvf5yj75e5OuMjo/AWAdFHyB5g8AxobMrRlr3xTeT+vkJCWACagCGLqYei8G5xTpCSzQECZ00QAjlJmptKzuRiqBTloCAMH5auRMA0DqQQKl/wRKaEdGwrwbDGC0orxIIggu6V3jtB3giw3aF9iqmuNpuskG1oR/wkKVmECa7BwqKMmh9BSItYoEgDMfeoiyr7tu9qhT6OfvYbyPSpg8/L6Xo6b5Nsw9HYg12lE63QrLep5/GbSNNLalgyIJJS4xR+HmEyS5wqUUQ6vuI9dQN7kA2vIc4dcwJmwb76Ozk257YGmLwXu0qkxLiWoZvffWj6mhpxZZjAWK1DomaVnuGVq79fMhx3WwDwQwcvIMGY/sCfs7RWElTVXfIpSoZk+3UtKZ98juMQ/w/nCmbhN1Z60JAAIiXVAstM6SDBfJ3nScBlr7BKA8WMtMN1FmJlheLpT9AVCRgi7e3zgceC7DRRg+MorNQDn6hq10dMsa6gdfN1Kr6dJT30tN+L0/EJ0JhmlRkW52fWNJocydIzSpDM0WimvMprHmuNmSo77hKerBUmhBCWSBC2CLvp3ihlqhlQcGLI8VzPcaJOPsiBulQuZ83QosyG6LcndsZwOrdAwxkLQlg+0yiQQJa9+JmxKxYmqSctbBUBEfR7L0XIrKxbNNKCAL6HKR4sY42QzpoGNk7u8V3iULnpUBcZf3veK1UJaYRD1L76NBlNbxNbtFiKNIDfDlE7uyBatpORJLjt6L1Pf687wwCsAUg/n8tyotlVZ9/Zuk0SUIoA837/wp/dt7f2fO9IP90koDAyb68MNfXHJC4BrjJfBNcb54lYCX+xdnLxPp3V/I59eAl4X02v/g37SCiv3Wy0fIcGIfWSEgOTO7YYjcKSkADEqKEt1WmpLGIoBptbVUvHMn6SAGaAcFewhAxehHH5ETAExDw2BYajvX0yYl+VPsOZhiRfXRIJT4ctg3V91zC6Vu3kxxyJwtZoArvTe2UT7/6quggjYIgeg4sg3NKIOS2ggbwe6Z8mhe8FSVlAhataSvMkrzyFC+lUYozW+xy8wYo/WrPqJo+SBLQwibAFaSN5yCRee+brhzTLrrgz0rHWsv8MImLNx2qPIbS8l5w1+Chq4NCXBFfsLubyRYhkh1/HWyjruBlliXheSwWRW7ITDV2pFbQdG1m2m4aKsfOMa/YetDLQRSS2FfXQBgLT87gRIVdjryf743y7qSXk8OAuxlDzwwG+RYkEE+8O//LmwA3KALMi4QLOamuu4O6nfmEHvJdMJdSC/R7lAg2KiCkJzaQ12/ksCLEpmnPIAuPYMWWEoGX7Ryh47Q1JG9AY9ElZoMUbk4GmvvpfTkWCpA4KfwiAXqYNltaEXAJnGB4qwjs4R02dkCBfnlAz10sBn135FlLQLOrwN49onrMqmqIHH2nZpCudL3fn4S5XOBwR7LR/zDF2spK8N/47B7Tzvt/qgnKAWdgZmKEg0YW74LbMG8NMguaJ61duWyRGghuYPF9SvT6eF7K8KWTYQa21PQQfmXfzkARo0PgdK6Ril34hjlayzzBm65752YB2Jw48UoqytCaYlQayVqDmTnldCikGbveT7jP2b7r2FTCnBN1Jwz+RTj+lLAPYbSzud/53dfDDS99tZF2n94IKRzkfRYPDflYJwODZkwp3H5A4NM7vIzBnwEBh6CeC845L1cw9jLdKrejndrYXpJ03DHu+fOVHrmmV9c0rxtQ3nHHjhevLunZ07aRczaSevbB4eUQBHr7EwV5eVo/IQnczEf5WdPk+yl/yKZ3cdmcrmg9xK9ivrwrkldjBiEsQA4YCCGgVL28HbN1cc7zARtcVpomODqIionCvZ1nUND2mgNxpeCdEiEpIGNmgndGSUEK+cDwvBY6If4Zd+xYzQOHQahDEmEXoRjuoivi0tDmVVrNcbRdGMg6CKUQWCt4/dehnksuzSHsspLkSmPo2y4F2Vv2uR3m28iEbAblt7ed4mBHZ6fTPh77fEeiLUbBVbLfIEW8UkUMgelXXidjF2dQZ+IatU2MqSUkeLAszTcrw/YtMryyqgxe+csKyDUYy3LjgPT6Gk6eiEVtIEFOhQ6jbSqYoS23fRFz7vqcUhkMBd/wg09ZkgkN70FfRp/YFF6vcrVO2g0uQb/HEVVjS+TtdO/X2KUsTS487M0CmHqubQYmqGkiSZS9DXQVP8QmCrGoACz+FhF+Qa4DOkxhiNsxlQ5NJn5IA3EVwmsE1eRmurBeEX6KOKllR/roY4/ts8KrfMPGKBauTJjNtHI/5aQhZKjDRFKjo4W0AQwyWgwY0bw/iS7BsnS0wxbesRxAC0YkOD5l90AmWWCSI6S46JQPu6/lvD5MxLRrx62Dv/36BjYLpIkCDNllWDScCmctGWmAvAACywmGYzFgiVkTMgDay5hzkAZl6dmDEKU+YxPlJmxRgvWPY53BecmICfGjQ9R40RwMJ7n3p1I5nCpasr5V2m6o31Wm0boZ/xRb7kFdvQVwuW7y/Nds2ybOIA3cewYBUCGwTf+E4+EmhoxphLuZSdO9NFPfvS/6cRxPv/cmH6BA2KavvxlHf0ntGeuNV8POF+K/O5cjv6Kvvca8HI5+vXaMa9wDxw/PUC/f71ZKBvgiVBn7SV5+3Gy9nYh4xp+l8aBaUGeNuJGhTeB7MBQsmMHaTIzYcE5SSMQ8mt/8106exBAj0i4Tnz7HHzV1KQB1PGvSZ8A66VRwnrh36mg+l5TChBIq6FkBMhpCNCUyEAuJr2bg7suXHvr22+TRVQ+xefv6TMIOgLuAJCp1Nj8Y3Mnnio4Q5wMrQChnhZ1xukbN9NYWh3KZII/eK3GBDr/QapeMkAp+F0DgAYOHgz7LTR2oh3W0mxniU2RJ0vOi633fp1OqObbq2hm51ep1zC3ACjYVSgdRko69Qo0UTyidphzE4wD5Bj1FwGN1mBjvvp6Gq6+nazO8BklnraVsVGU070XPuMnAchAvE2NmmLQYt3CcKCoAjxb/7dQwefNiqc1vfMO6olfx5iBbgj6Qq93gy6xYLtM1d6LvvFkgHCCzkn7rL0zA1LV1SmUkODLpF8p4CUnRSFk5gb1DrCXQi9YINxTwr6nQTEOFOvLB+slQd8JMUbO7vnS29HYjHAZwzTrNUla5tq1VHjXA/QCBEXru/1r4uc6zZRnxtEntmZTqi5QY2TP/i564/3uoM4cq2uS6VEJMMJAGduwt3T6O2EYsUk61zwmvBe10PWY9ghDW9gFDQKHrFWSA1ebqhLdLF2br/9rf7mMykqwQZlnYzvK114HWOURiUw3NpCr5ThYRAoAvfMP0OwAvhKxqa0sLCRdEFeYGTjbxH7taxTjKZWTXq7FBvtf2U8wJ/hnVp2Wx8CQWz7Puwv8+jsftNE7e0BdDyKuGOzgDOAy+GLA+zOmj0yPEtyCDvySzl1cgug4tGNF2BtxGmjdihZ6641fB4Dtc+2A7t4JeuGVJrjQ+Nt4R/q9PHqGUtvfI1Obm+bOm5USZLR1YLkEA+8Lb4T7SfNrFNt+zu/Qjig4fcTlgmE0HRw8wnubiESEDqDHMIA6Abxga5sFIAIzmE+GnACfkXUO11QQoU+hQLF6GeaNFIC2nBhJB1iowH/PdZ3k5z2JUpoeADAD0IOxYT23W5tmhXTDXQ+zN9k62maMhw6ciSywY5Y2KSuUN1zJSbjetWuIRTbz168nlSexMoAk0f9CGcUQNnsMuEyCScOZegYGS8dMlHsSLooLcJuTXlPW1DmyHP8gqN4T2y2b1j1MiYMnaOr4fkH3xQQ2j9flTob4ZWLtA9Q8GbgB5dWA749jHZ0G1uXYRDYf/gU1GZahNmmBjBf7JNWmnqO7P/EN6N9BywQTHYNdHIiwmLbMC9R5AhM2OmBh+hnMzzb0lcyG9edj6NhAX4WHpu8P+tXzG2F9vuETNOBMpTxDE2nq99CMR8fK23f2FVuoO31lWOYEgwZJxnZS9Z6CXhmYvGA96icYpIycIdCAQVxWMo6SdH/2r/f8MmgBJq8qoYTlCTQ6VUqHjm6eBf0dVTo6XYRNfwTwhcdR/u6L1L1/cLYsiI9fWKiB9pS7VMbb0td4XI6ClBzFQqtL047+26+nsfozpEfpsB0gcSzuQY94zlsuxckrLksHPOSei9hZEsu9eAwnwqFIhTHFQvfcwrNdUAIn0l6JASCRkP7/s/ce8HFd5bb4kjRVZdR7t6oty5Z7Te+NdNIJgRQ6CRcIhAvc+//De+GFSwgQeIGQRgghpJLidCexE8cl7rYsS1a1etcUTZ+3vjMaaao0suWEe3/eQdjWnDlln33O/vb61rdWJnKXUB8xsQQWbcYxPR9iQ+748GW4glA8mVNt/D8pbbIvPhv1cZXTgjkajsfPV43C/N5LTPgGzjXajEyY1twEs23mRb63tEk0bLyiwr6fD978HXa3lPMhO0YmJhmF375+/CTwEvRCdD8/8z2Zad49ls9jrzgJvBxLv538zr9QD2xgQP7W+x0hiLpkPTKMh+E5tAXj/WHs4fjMlVEALDc7ssVjuMtU0eGmgGBIBQEYDRchNrIX3n3oeTS/SKrqBJMi+HsFLKkoKQkVVzx4hBMYFwbBrYpsiqx07yIxjsdLI/slmz9aLt6PlwFjIeX6wAsvoJ9Zv2ABMDmeBKSHqaHRx3ItocgOUz8imAEj2wk4klM5jxmSC2BPykR3//TB85lr03DhufvpdrKDdbyjFAOUQJdChW9S4HT/EZboePtBXkkC7KhZiuKrWZe52RJfC/Oau2ljOPuXpYoBfs6hl2E6PKU0r4lxQtvFRYO/eCB3rV95GnrWfAlmtzaqUZ5pJS37vWe9DCt+X0odtCKqSM0PAwPGNV+7DZWnrlPumywKxhngK9ouDAj9QRclCDz1MgaBgc5WNl58L4OYzn67Ul5kMASWL3wawEt5ngY9FJIOYtJH7J/8od2wbH4joHxGrCAXLMxHYhaDpI5AC2nZUXJ1NYzMOIobiX8bthDsWXc9mhgcH0s7uzYFV6zNj5gVF/bDfX/YgRYK4QY3CXy+e3sNLeUDdVQskAsAACAASURBVGYaWH/9xyf3sxTMG1gLe+IAnQl8FtWrl6Yzk6idJIwImNlHnZT1ZLiM08LYv5WwhO27X186K1Ft0f24996PaDc6jngKNKb3blEW3AnMLNbWzr5M0U0WXxEXrRX8UQWJAirPpAh6slROR32PcE3eGWbbM1DrPgz42OUk4Oy5e1bXNt093ripFf/c0BwAXM00JsqK4zHKRdDA4MxuR1s2k9LdcHzAy6Kqenzu8m/iS1+oRWlJ+JKMcOcsjkXvUFzx9XdZ0nOMi2xdjA1pDa/CYOtHcaFhklEWqY9KV2WjcO+7UI1P6U94KPRujF8D8bLxBD2L/vsp/8IXkE9QdJzaap3UUOnlfGJiOVLw8xvp2CKw3evsh1U1vRaPihYq2ciEOjaymK7ybiVDK5dlVJkLFyKbYIy8a6MFYWwEjpq3/g59osXRysWpLRBUDb4GKbs1DuhhabCyPMXGRSbLjXyreW6sZP2FzRcARvF3pdSOqxVbbs4DBPVVZTWw5tbg46ICbGYs4b8POSahbpyyvZO2w9HpFU33LCTCjKTtT2N8ONTZTBbKujMI+McZoKM4rc3ovX5hLYhroZS8eirqcCBl7YSrjMxlTFxwfktiskF03+RPHRMOvj7/NOYlOUdhD8h72lumw0Wr34I1j2LNzrefUuIc33ZKQkS+NxFGqAwpSLzkZpaY0FnrfZbJtlEjRhb53v8hJj4B/effimGqyYqJgCzKfT9yfINzECldkuRrUcqXpUmJ6XgUelbSbwK8CNulIL+L42YqcxVH9lNK7TwYVqQjjnow5Ogp+25rPQOf7K6ZnFtsyzOwizojhD2mfRVaCBSWs7S2Y9dULCyaesuWBZbtxWlYung+S47U3sSJhs+djteja6Y47v5GOPr64O5RobPZPgksSULITUciK8FCYeTahFXo9zzIfpIZz3lEn4x9K1owaTRrmNrGQwFgAlVBbBeJo0QoXtgusaRLa8huc2RVEGwpQOmS+WTwsLznGNewhpgx6Gmnbovg9CfPoosMr48Np5OhPb02mV5Hd6++15A23huiw5Vw+mXo1MzshjndzZsLvaQ7r+vH/dSfOdmmesD94uzXEnPRf7GXHeOgnYuDz7CPk6VGn0In/3c/xD9eqsemrcww2CIP5AQGdqmDB2A/wKzWhFOHii/0qrJklsxE77Lh31fKIpkZ+lKWH5UwcyV6BH/6/WZY9+6G9vBWaoYE1cny+V68KIOL5kChthEGcPUUxwsuARbWy5KqtEBWANXQ06l5oQAwBGNmC8AoWi7Ccnn1VdgIvkzXJKu/52A/OnssYZkAYr/tqlwNS8ESrODEfaQ9VIzXf//lJYn41i2LFKHhcTsdT+LeRlPrUVolEtxhFmtogw1jfjbTSkDDiVm0TByiC6H8MFQvWIjR2rtxmHIgUbioKqcgAVZBGNHXRBvp7T2BuiK63HyYr/8peh3RZbzjmalN/vgp1gd3he1OXVkVxlddiXRmnStoN1xK22FP/Ydo3/AaGmnLPeDnEKXLI5V44ZVhhURdjCZz56dh0MQyqKAk2okMcA1kpmQkx+JoH4MsanVE20RUMGXLk1wweNlEBVk6FOd5HQCUsqIjR7i4CVpM8LOEEjpaTdh6S+DT3memjbMN2nnVGFp7DQO66CcsPZ/xa9dlYmV15owLsB17evDXFxvDLugrSpPw7S+Fuo09+ewBbPlkQAkkm+ko0kUQxFfyIoyn09Zkc8HiPV/J1manUSRxKNC21defN1xJUe3VhTOep2/7Dz5owd+faUAymX3apk2w9Hr1KKqqUklbnx21X0s2XSX7PmeY5XcRWAsuuq7o6cgV6Z1jd3CBE/MrlqcEglcu61WkUZ8y63fVdONs00fteOHVIyFA+3TfKStOgHGMJS390zNf5gp4Wb3+dmSkafDV25dwQTVzxr+tfRhPv9BAR6bZsVyCrzmHNuWXn5qMgQ2S6Z9eo0S+6yILsLqAzKDePYjx0/PwOKtoTXsK2shm8f+9//GEpbb0hz+kHln25BgfInDas3cveugmZCcgM52d85BrBMZY46SYbrj7x+Qvsgi46uOi18qJYamcJjUVOSxFyiIrJ30ehXn5u8jzpYOA8lMEDamJRE2IoSMOMmCG0bO9hWVIXAgHPRM2skAGjqphIujiGve+w6TrRLtMEQiVEiPOWwGNv3PlFFHHJpHOK3RfkYUqSyxk+zjODUOr6mBashIdRVUY476cE4vo2h4j0naRETSL917YfpQ5sHsjjHtDS9Fke315DUZrLkTakXdh2v9J4C4EgOC83Uz76DaWVaVSGFzmZi9g4C0JDte3J3JeinYeku3yR/eRifBq+K8oU5pHmV/GV17Bcr3diKe2jZOW3pL8kVIUYSGoTjsfw/OWKX9XtDv4LZWV5UEtBBsP7ib4aPLqWYlAMZmPVsY0XnBmQueKH3r1tLxzgWASwshLTdFN6rpoqM2Vn9dBe2cbkmtKkLw6jyU04qAXWgZbf/By7KfeijSJb4xrc7B3BpajlFhausZQ/kYzuhun4lNx38zISAi4h2kljGsWdiGGZcGuhhY4GavZrVPvdrqaszRYw3fqFCChIYjkIuhiFTetCGhIFuMJKxmLUmLkr/lio7bLUBhtlwxuZyP8OJ5VDlNyCbrpRDXKOTWDpe5188kqnRD6nc14kG21cW6k11M8uvVIxK/GJRpgO/VGHBmJweGO6V3RFmq7kEgHMEHDhBks4tLKcbKyYVzzhVklCsKd0EngZbZ3OLrt3S9HH9NGt8fotoq9JPo4Nro9zt1WJ4GXuevLf7k9zYWdtDaRNZ32sqiCEpmckmk1mNCxHXFkOZQxy5yYcOxlK74OFf0XcXmopu7BoD0Rf2QJQqzThqzBeugatlEPZmqySqRd9OLF2SGLq0isl2qCFZlB2jBy3Dii/hkEYDLJutESjIkGgBFhwYPTsFyCB4jQPnft70dHtzlEV0WTU4D+olPQakxENUUsZTEtpS+RziOV1OPv3F6LrIypBaHd2QCLnTbITQc5KVE0bdSFwVfGYOpoCTiVDAqnSZCqhEcTdOGM1Yvhrv0uDjSr0ULnGMmSSGAaCYjJH/wElo/eUURsfU1Fy1x9z2G4/DK64qKTcO03cMiwLCrWvLyy8/u2wrRlY9jnS+r6ccEtGPRM2TwnkZ2Q/MGjGOkeYvbHpejFeF21Wce8/lIcdeaF7EtE2+64gxpDLEd5hmJrnzSMMsif2uxEBbjFLNMQane/2AhHUUcefOK5Iwfg2bqBOjgsE0jVT46POGZ2NZmZzCyGlhUlUrvBSicVE+vFm7pNGJa6bt53yXapLroJfRRZjqblpqpxy5kFKCabLdr2+8doA9kwFvbe335dJZYuygkY42Ipe/8fP2F50QjdiwQ8DZxMqwnsFlL/R+jVyxalYeXiTDz+90Nhg7AEUvR//N0VDMRnLhESR5P77vuQwo1bCSZ/TDDZGxQKzX/p0pyowRupXc8kVbuMz0UiLTAjNSfviZZsl+lshM3WV6HSvRGwCw81OeLcPyDbZXZAUDT3a9OWDrz4ahPLMqJ3SSotTKBehpUik5HBl7kEXuQ6Uikc+aUvLERlRagzl3wui7B3qeXy8hutx0SV9++rc08voCteiSLoO0hgc9uDD9JpZ3rmhnzf3rMbdWVZyDFPvXs9bgM8+uU4zHs/QlegSE1A1NqvfS2E0SRjtJsMGAFhBvbvV0BWf3al2W3GIGGImXRdUqnrZSC9Ppo5Ltw5yvwsbnK5y5cje9EiGPh3fz0YsTw3254k6BI0/qnyaxmJQ9d2I45+2ArbwCDf114L6b42NcYOWjh3BALH8pk4+kiJl1ejyMselUX2eHoBWYvxymJT/p1AFxdhiMjcaWaps1HEz9jEDclRtxx98+swrk/B4o+OwkKdr+NtGTa6xu14ZfJd4b8/tTDzzvwCYuzUhfrwGTgUMMkLMMi1CMBSdsH5iFt8Ot7d2U/nIy+4NFM7UfPSTMcN/lzNkqSs+tcofhzebdC3vW7FGTAXLUMZEwbWrkD3vVjGXF3n3YYRO1k9LjIM+/bC07QLFjJ3ZYJSGDT8T0RmzVR9l78L88ZXMuJl4Uz8jn+XEm0pyZLPJ8cJw5PU6jzUXEG2b744BVkny71lZpkslRImhkuLnTuvRku7N7aIJbu7d30uGhOnd2AS5p+GyYz815rQz9hJWjKBtIULySgTLRWVC0lGgj+9R6C2HQC5yByvgZkeOQ9heLnGVDC1qxQdF2Xs8vt6xms9FJ4XNlu4puV1z0unYLefS2U4bRctr0NTVAFVcSX2DqVidFz6duo8zlwjOoIzCwuHfSfwl3nD22He/sG0Q0l//o1kH5Ohymd6hO+vpqPhk4vxDPNW9LwC8wSLV8R383iNAr7En3E5utTzZjtkQ7Y/CbwcdxeG3YHn1ZnfYyfiyDEXnQReTkS/ntznDD1w11134dePkb5+HMJri8pasPq0r8yqr5fUpuGsShs6N74DM2nR/ovxWe0oaGPRfyk680w0e4rx+ts9yiSZrLErAIymYQfdDrwATAlLmwoKAsuFhkjjPNQqlsuBOxUnncWVqREXUioGaRlnnYUsMm7UBA3CBUMS2LdQCFhYLg7JaEfR5NzrGweoi0BhPwYRY6w5l9+pdRo4qtajMY5UT6MT5SXxGBpz8u8u1NWkkW4cCmTJpPrtWxZgfmVomYiT9qEdPY+hrWebIkBn73Zg4DW6sfRPsUfE4SglWTtJC/adfsUVK1F0yl2szS0j+GJGG39auhgkk3XAxCPBGG+2SbGN3kQtFX+kgjtJcJBu3S1uMN4XYCwD9ORVp6Bj7W0Ys0Ww1gjqu1TS5NUb/xrWHUI2jV9zFnpzVgQAQoX923CUbBcLbTulSf9IBtRQTE2FZVfTLpXZNZ63nIHPOvaOOxYTsJsqP3rh7RZ8sIsaOROByIkIcKsKdWhnX47bj31iWl+bhAxS2139gRo6ct1SVmRub6f1alB5DzPTsQXF2PbODmoLBE5OulIuAk+9nhm16QfxoiI9bjy9EMkTVtBRDHllkyOtI/jDX/ZTVC90MZ9LJsE936gjjTpwjL/yZhPLlHahP8Li6DyK+eq5sPnuVxeTXZeAhx7fhV37CLqFmXfPXJ+Hqz5XOaNQ6MfvHcA7DzwK4+H6gFKu8vJkOmREx9QSbYx5F12EAl5PLJ21YsOUF0mfuOVzshq0eaGAoK9fnbRjt3n+D0sIAwWe3PYLoFWdFzUQFO198m0n4MtLXEAYw9iBR9pXCV3J7CwJ7OoOX7ox18CLnEcC3+N3fGkR2UiB78DWtiE8/0oTyzrDg33R9kduth7XX1WBslKWJIgi9ETrqa/H7ocfnrSCjrQ/p4sOXIf3YNnSEqSPT717Pc6FsJ9xMUvoGmBneUGkVn7DDShYvz7sfVYEl1la6StFEmck6zjF6Z10EoudXv8iwaVHekwg6zPaPgm3XSzHcjLZL9nUg8khCKNPoRqV4ylogkGXoC87bWr07LYQgOlCy2aW4G7rIegyxULwPcsy3whYIf8WhqZvoTyeUaiALsEtmWU6OoqzDxKUDqrKgEb05HJpQ64pxTD1doLfhbPpBw21f7Io+mkKU96pjM9lp2I4fyUy6l+Bu7MJyQQEEgkKyY+O5SPCiDv1xz+GnuBDG0sm//FWC5q7vCDUdO1EzEuzuW7/bRNibUjc8jRsPRP6bhF2lHDhDdAO90P/ycbAEmRu7zrlPJiY4Ilt3kmLdQISQTRlYTwJGB/Ovcf/cDLnp1IHTKuYE7AP+W9dQSnUdesxmlSIguxmLFn4On9vVRg3U4DNhO4HvyX7cDpSUF9/HUZHE5R74WI4vWN+JtrEjlyExDkAPWRV+bT6vICJU9GTS2WslP76EYwwxkuiiOvqMv7OzDLBtoOwkRUu1xZDwCq+kOU/ZK/6N7k+AV6kuXr0GO33ahGlpGj5PFGnj8CDKUKZlVZcjFhyrBcG2MT4EbBqmOX2Grp6OjOK4cipQm9MFopZmr+z3jR5LN855HEuXiRslwiOjzONkXT7UcRseT5Ei8X/e9olfCbyVk7qupjJchvhvNHcGQq+LNJ2IH7PGwExpoAvpQuKMLD0xuNmu8h5nUjg5UhrJ77xowfwxc+fj2suPXOm7pv8/MPt+/GHx18i4Cblcgm490e3831x/MnsqE9gDjb0vH7s8e3xHD7m/JPAy/H038nvHmMPKMDLE6lc8c5Mww57CDetBkv3zQp4+dx5RTjvzFLFXcNBBLtl82a00YLaRivquWqq1HQ0xZSjcTxfoVRKIJaiGkfWALVNjtA5iBnIurosZiWn9ENkYjzYPIKhMFov80sTyRaYvhxKTfZAxjnnIJP17WrWufsAGBEOFJbLEAPw2bhPiB6F2Jf6RM+knt2RxuCxYB3ax/RKZj+DjIIETthtXd6JSIK02uq0AOcM+f1l5xbivNNLIi6+5No373gIds8mBgg2WBodGHo70GZaMm56Raw28C4tuu0U5NReRuDiTCXjKvsymmycHGlx2GNCd0MTep59QrE2Vub4iXed3JOE/ia4qM3jaymLl8FYfTq6OdmG07MJHh+KftCOp0lVDWTo+LbTsgzNdOrNtNSeWggleIyIeeVPzDQFjrdYLpbGl1+MfUbWWkutPcV6k8heEDru5y4owaoleSikfbU/XX7j1k688mGnUsoylwFuRnIcBYJj0cqFqSuSt+sMD0s868ZvvKgIdVXpaKd968Ennwyx2JaFv44C1b6yIt8u+0aYY6OjjGVgCKbBQC0CYWhoL7oBPUmlYc9AsooXLknFBctJ0Z7IIM/2uX7qhXp8uKM/7Bi49pJSlg8VBIzlh57Yjbc+6MDBxlAhYTm2uDf9/t51BB69Ljld3Ub8+qFPFLAyXPvBNxejtCQ8O0LGd8/Bg3jqh/ejrymwtE3DzPQysl2iue5EOrPV0KI7OSEBDtZ8q+jMFqm5qOMRv27dtN1osb2HWM2LfD6nFtJSshHrJGCjCX8ts70vkbb/mPoXz718mLa+0TNfigvIPCAQe5SLx+B2IoAXOUZSQhzLjsham5eu6GZt/KAVG95pP+bFg+xTXofnnFGAC88pJdspvB5VN9kmu//8Z6/4bYQm48rRvxOajj4sXV+JlHFvtt/DEp9Y9XwM0va48e+0CA9yHPPtTgCNJffcg2Q+z9M1Oc5AazM+3vUaBvfvU5zlHFK+EAaF1HD8iK5LXOyxZbVnGl+xTCIYKl0sR4pBZi3d1eIdfK6nH0NNm3Ow9d56iuoPUUC1C+NDI3BRHF3RglBAF2+JkVige0VVYzCeWYQ+e3gWgujAqCnCbWU8Ehz+a5kwyeiVOTgWmnT2Q9kiGFPKYfHERzU/+V9/7tBO2HZ/EAIUyPmm5GZg3pe+gTRnH0beeJ6itV42i38Sp4rvigomlXxNFt0vbWzFh3sGYfVjLoQ8SxsewL6xtczYTDE+Z7ovAZ8zObLIsAWrL/jWrL4WaeM0Vz/i3nlygtETfqtYsjG151yL7K2vkHnpBRtjRFtEQ4aHkywtVTKt1UO1osTmWMR0nVGUhBmo/RYfLykW3v/0DKiWnQljGktp/MpmVi7ajZICxkQsOovYOGjM5kJ8tP0yAh3e+CgmWY1DdZno5zkrrBulVGriRxFsjYGJpg46ZvnqGhpRsHUn7EcOkpJFvROOR3kUZSy7GePJf7HxBGDSx+EU1oswuPifwnbxsTudZKK0MSYUW3OOY2G/qKjlIsNC9F78mySYdPxMiMcFBpYl8fM4gk/DMSkwZVShX1uAIZtGeSdKKVEC35mtnaElPmevy+Y5RJccC+67hFgK/29/BtZpSu01uXRGWnEV+zTwqTRJSbzFjrbeqXkjUevBsq6XYWasHdy0p16KlMpFs5qbIt3rEwW8ODgX3f69+1BalIeqeQWzAl4+d/M9ePi/vk8mewp+8eDfUMnvX35BoFPbnDy4J3Annjc/I+Dl3JPAywm8rSd3HakHPk3gRQKMW66txLK63JBssoV16E0EX45u2hS1KOBMd1Um4DajHvaCpRjSEsHnZKRQS1nPntm3HxmDh1FFQMVf+C8S60WyEYsqonM00pBGnUkAJpXlA83vvov299+Hk6KZs2kiClffODwZ3Kn08VDRVnnLYA7ZJN4JR5KqNZVJLMsI1CPIZ/auhIKOvuuqqUjGV0mzD3ZzCj6fMQYCL7/9NHLz32WgaaYduBUjWzopWjiVQfcvOfJ9P5bpoGXf4fWW1LKk4SoGR1MlDSbqG2zhotLc2wcjWTtGsnbMZJmIjbXGYUJsV/Ok25WhshpWTTrGzr0VQ87pqbq+Y+eP7INl02tcnIS+QOW81Odej15NweSlyqIjqeE99L//Tsjt0OUXYk/ORaRwB2aAa2szFGcUNfeXkhSH6uIk6sQkobzIwBp7LRopTvw0SxSef/KXcxLg3njr3eihg0ZwwDGb8VOYrcMXLy5Bfo7XKUEYV5vvuw9jE7ot/vsyVFay5rxLychL/4iey1EK+IpGQ07tAmbJ94YGM0WlMJ5xEzNrgR8lEqy6/pQcLGVJRzQ0+EjXJOP/lw/tDMtgEebCT769hAwsbznQGxub8crbHQp7qallmN8JrcUvyk/A3V+rw2lrp/RbXny1AW/TockRxgVNdKe+edvikNINBxe9jW+8gR1/ewH1e8WZIvAKhElXWDj9AkfKLrLpyrbwqquotcTsJEtRVARlIzUXNTK0t946LQPHxWJ/m/uXDKADqfkuO53YVFeeMLaL/znv2NVDR7tDGCX7LtpWxPIOotFoD6KPnyjgRc5Lxs91V1di265e7KsfiaqcMdL1ZKRpcePVFaiqnFlIuXPPHux95JGAssrg/TpdZHEc3A+9w4al66pgoEikiK943HWIOeVstLGktfvNNyN2r4ElSYtZjqYOYoQFf2GnbS+OaqgdQYzD0dANx96jMFNY3c55ymnzLrJiCTZkE/TRxp2Y7KnHw9JWdxNi4+giQ2BHnZiMzMWFyFqUjvRqlraq+Q7yAxEVwHNnAd76IbVrWga9IAsTAXo9tTpG+ylWO0ytFysZnwISeQN5KX81pTJZYYusTaPnu2GUbBc1WZ0CuPu3HOoReYI0LzSGRKiL58OWOx9GTVZYO/vg/k70jMKw4xmWxIwpwJAkDKTEJUnRaNFi6ZdvRiETNh/xHR1u8ZiQn4/1ZLxJYiO4baUu1rPvdpARG565NJcJgWif65m2yzMdwvi7LwUwBYO/o8nJQ1bVArg/eo/vNUrWktE33t1F1rIZrrxi9j0Thn7TviSoRhjziYvPTC2eJWaSSFLH874vWqeUNpkIIoQjD52zdhNZJDtm2iUZLLXYtOMcgh7ek3KztLd+USZGg5wH9RRMShsbRObhA4jdvRPu3l5oe0cRMzCugIfp6XolTlWkh7mtV+OGYyadWkZalgrydxLviP6frwlQE2thSXK/lg5AUpLsxVHjmAgwMvHoK/8WUEgEdeUzSaDEZ6ShZPESHI3JxY7WOMW62Z8ptKTGgINHhO0SGF/lk91XS+3DY9F2URNYyj6ygdpMkUsn42Scn3crZQPCJzvHCLoNke3WMRELL9a0Qb/nTcWd0r/psnOxf97l7Nc4nLIwRXFbPZ52ooAXue/iWvrY31+ndlPiJPCyn7o+9z/0DyWRk5igx89/cGsIm+Xmb/9v3POtG6mVWYh//8WfcfYpy3D62rrjucxP/buedz4j4OWsk8DLp36zTx4Q+LSAl0QCF7fdOJ92fRnTsi6kJv7QP/+pLBDDOf3M9p41Nw+hd8AOXVEZzPnLMEorTC8VOQZpBGDOyuuFgRojVAVWdi3B3QE6HA2HWTwsmJeE9JToAAELMxn9ImrImU5xQOIkF+1CVGxvDxwapGuBd5LQlVTAtuAMjLqSFODiAK1yJbhYUpvMDL85hAIq35lPq1yxzMzO0OE7ty2ixkF04sVbd3aTabAJtQs3cuHdj5GNFozsaediwZupjVRypGbmaPn3LmC2lZoE9lsoWJdBO8hxbP3d7zDWEshGUertuWLt2V8PC7NZdtLBNXmFsOqz4S6vQ0/FWSGq+uHuuwFGxL/7GKwTzg/B2+gXrcBgxdkB+xrr7ELyh08qAbB/E4tO09JLcMAYWIZQU5Me1hJYMlgSQJRy4VhVwrISZqLu/fm/Y1PX6uPKLJ6StxV1Z36dwduxT0Rr6B50FTUmEv3YXHKtHRTa3Pvoo/AElbNIpjy+qAiD9Q2KnssQy9d8LbmkCJ5xgnC9oSLQ8ZfcgK6kKZeA0kwNbjo9H/mZ0eu5TPc8v0U2wstvi7106OR4/mn5+Ny5pWg7OobfP7aPz4U32DYax3HoyGhAHbpkNmur0xXHjx/fuRQZ6V5gcHzcgV/9fjvaJ2rsg8/ly9dXY8XSvCnmGjVv9v/tbwpzrb6+H4MUpPZvkjlfujRbEa6O1ERXp4oWtqUsCZH3geXllxGzYQNiw9hGyz7cFCeNvftuaPnndG3cvg0x6qe5z6l75/Ew2+r4Pp/Z6RkQ0+54lh/u2d+Hp549SKp/9OBLAZ+h2CDw5UQBL2oueIVSf6hxBNk5CRwLM2v5ROqCdStzcNlFdDsxRPdulf0c3bEDe+QZDLJN9R3Dw/eIfXAHYg53I4F6XctWlSLe0s/XC8dh3Dy4v0tNrWefhTnonep/jqVXXoliOv1FchJqcbThQOwhuChs6d9iqPFl39MBx/6jXBS1IIVJC70nsoPRLIdGwOYK6OJqZGlp6HslRkUx93SKUy8pQkZNElRZdNJjWVTXjnzs+a8mdDSyP5Ss/1TTUidOr3MhXsXFqXGEgsJMFtCxyMkyoaMmurxwLg0XYmvICrRzrrRO0Dh1/LcIt0qLZxY6pZcaMhEESkWTRZ2VB3fpYhgN86iV5mUqBPQpdyUgS2HXRnha9iGZi/0kgvXCTPUxn3xAmgAAIABJREFUWpKpTbfuO9/BkY0b0cByw3A7qbvjDhQwkROptbNk5Zk3m9HSTbZH0NryXxF4ESJkdvO7MO/eNu0wSptfzTLlTrot7oVN7qmvEbA251eznHlqnhxl4kgpHZ5hLSVGAel87rXlBM+qT8UYLeuD+8z/pLRqB85b/wa0+sYZh/zRrlOxbe+ySaDDwcTewfJUhS+TbDUjr+UQ4qlxE9PWwvlnnGHnlAtXSr8FjkEChwSFEjieg+PFGD6v8bnU0mPJkZRTSVm4r0kvCFhj7aJO0TATLfy3/E6GcqyAL5JMEtCF1x6fYqBLUDWBw3IM6PNRmKKGrddEgwUvU8glTDHuOy1ZxVK7OLKu+UyJQLGwcPgsiHPgGauzWHZ3bGyXfNN+WLa8OS3opjv9cvRp+b6b5l6O8l4P0S58dMyOpUdfgjnIWEH6z7nqYuyyeBNvGdTQWVNtwIifEPGMNzRogxMFvPgO83+f+GcA8HLtV/8/PPi/7kR6qgHyWQpBmWuDypD2HWrB18m+lW0y0lLwp19+d7aX9Zlv79l47PHu8Zx8zBkngZfj6b+T3z3GHvg0gJecrHjcftN8KsVHR3V1MSht37IFzWTAWFnTfjz6L5IV2Levj1RQJzREjDWVdRhJr2V2w0sJN5Bq+e0vFsO6cxtGtjEIIAAzyKxJQ1uo1ovY8C4sm5714iZLYJhZw/6mJjhYUy8tjqUEuoIC6DIig06+2yegUH3joKIsr9broFlxNgaSOUn66Wz09puh4iTc1W/jJBJeaEOApWV0b/rJt5ZScyB6K1U5j4f/uhetR9uwZvVmaHXNGHrVhNH6FlKkvUwCqT2XmvPgkqN4siuW3XkGElJJ+7bdjD2PvI8BCjuGa2L9PcgMsNxbPRlC2ZVV1BywI/6a29E2bsARWgqbGSxLxjKcDocSuNW/CnN9eKE+DevhbWd+kWDVVKazs3MEOR1buLgItNqV89MWzcOeLNaO+9Ure51pogMRBIj5+PUHsHv4OCndyR9h9fnfPqanOYFB1eVn5GJtXaBw5dTYcuOjBx7ASJBrlfJ5XhEOHWhn+VXgQkiCl7wVi9G5LfQ+auj+ZD6Xdt8cFqfNT8bla0RHZe6y4/Ls/upPn6C5PZTmLEHm92gv/ewrzWhqmxIuFQp2Z9coWjq8QKGAIYsXCOjiPa+Vden44jULJtkjH207in/8M7yLUho1je65aykSKTAoLmSHnnlGYSsYjVa+U/pDtKAKqFtSUpIaHmBlPyaTjbCQ5QKpLDGSZuc7wkm2S9w05Seur3wF8dMsuGQ/brcL487fklreHDBu3I4ltCD9woxaNcc02Kb50uHGIfyV4EtP3/QOa/67KMylfTa1RlravPf6RAAvYgPb3WdBa7tJWUBwXc5EQAqyMmcnOixuMlddWoYlFHn213KJth9F6+vgX/8aUvbn+77T1QlX/SHEDQ8hMSMVS5Zx7iDrMMa9BDGrmZ2noPv+3/4Wbi7cwjUB+evIjkglmBrchulgtMVNrTMuJqdrpd1Z0O2njgpLpIzUJBFrak8EcDDa6/ZtJ2UbCugSF1jq6XvPy3OvuOdxAeiK1VIAPI1zJ130tprRTge6cVP46xZRUdFWiqHDXSwZEiao6D7Ho1FPQ8p0rWGYEPFkqA0RCPE1IbyI/bQIrecMU2PDD4SOdJ3CrBRgNK5iKcZYhuQk41PLUo6yYgPmkR1pMHeg75VnFGep4MV0LDP7K1nuncCS2E0/+5niQBXc0iicvOob35hxrIlt8jNvHsEuioz7a9H8KwIvco3xsXYYtrHcpDPQ0VA+U1FsWTtODa7RAaRVlFOQ93DI+HPlkXWp9pbImzgJmSY08KYbjxrGLbk1FcDCdSylJQs6Snw4JYlJurUvc8yG6qQFH6+h8XLsbSxRdGH0jNPUSSwfG2hBbAPL48jIkqSTr0mJiYxzX0snAGJj7JeeoScAGApsqBKcUKWZyYa1B+BLEu8pbk2uWNg6E9gXfgYGnANjGfvasksRU7oA7WQAG50q6sZ5y5jk2aimY6KJJfaC5cjYl9guM03NuNmlJCnlWuL4XokTgWQK1i6htosylsUtSv5jnObkA+wSJyWxqhbwhs+br2TKJ2adZGPZ2Ae85xNC9OHula5yMUaqzo1K5HyElNsMIxN4H76ulBv6N31OLvbOu1JhAPlaLkWHl1ckHjP48mkCL3aW4a655OtYWO0t6bZR22btioX41pevDLjOa7/yn/jZ3beivDQfP3/gL1hQWfLfr9Tog88IeDn1JPAy2/n75PZz0AMnGnhZUJmCW65bEGLfHM2pWwlgSPlRB8uPonGFiLTPQZZtNDBgc028l3VEhWMrVzHgonML6aVrVufihhtqFJCn9733MEI9jH37u1kOEzorLyw3INUQnrZs40TUzSBVxPPCZTTjSBNXAJh076QVjgHTdnQUHRSo1ZZWMRtzBkZcCSHAQ06GlrbRw9h1UMQgI784zjs1F//xnRVUy59dVrd/0IwHHqY9Iym9p5+6FfGafRh81YixRjKDJpwD0v1cjvz7PbU8G4u/thZNr7Sh4+0BitPmh2Re5ZxHyGiS8hYthYnzFy9GHMG25JoafvdrSoApwcmRjjG0UOfmyFETf8xKkOQDYrKNjXBueilksvWdS/y5V6FLXz55ap2do7B096Cy6XlYRgMdRuIYaI/VXYp6U/rk9gK6ZHJBFi1LSb74WQa4JTkU9rywmFbR02s1idbEroceCrCX7eLz0THsRGZNFcuK9oc8RobCPJaQsXa+M7CMRTZMvOganHPZqVhJwdJIGfZonvVI2+w50IfH/kHnLdKlg1ss6yQS9XQ2CaIP28loaGgeZnDlVKzqs2jR6d++dnM1Ftd4tV6kPfjwDpacjIZNlF58WiZyBnagb/t2BSSUsdtIYLSXgsf+TYC3JUuyma0MBZ5E8HveBReg8rwpgVsXF83jv/411LT9jdRca9ZAe9NNMy64bI6DtIV/hECCv9Aos++2rxIIqz6e7j/m77Z3jOLxv+3H0e7p7T/9D5CTSb0hjROtbbY5BV5Y2aUszBrIhBpjiaN/k7VDBcGX7Citv1cvyyLLpYylB/GzejcEd2QjS1APk90QLqngdnMBNEwr4cO91OexU/8jE3V04VOPsXxUxezt976HToJ27dQNi1QnlUBwr+7f/o1Z+imGpo12uB85tmJMM71VdqYzAytjlhDcVynjfZji2+KK1Eug3DowoDgjHWsyxENmk9M9BbrI9KVk7yey7LII9YmQ+vrMPmLAOMtpnbHUKzJkIiYplfoeMbCZmInns+5rUv4g1tBSgzt+2uUYjEuDYawZMZ31GO/rR38PXej89C40dDe0Ujg0uDBRFpqZXFAmTpR+zPQQyPYqrlaTyaxLzTKgaNUyLDj7VGTPn6+8E9+/916YwzjHyX6LyEyqZclh4zvvoIuAnCw/HARi7UxMuDknSrnnajLe0ouLZzqNyc+37O7Bixs7MDKx+P4s56WZTjqVgtKq96j3MmF6IMw33fggYoyD1P/jveUAUWvUSC/IJQu6PXB3LL825VYq5TFSJh1c9hl87PjcbKSvPwum7AXTauJEOuei3G6sWfoqx9h0ZePijpiE/R+cguH6XrhaDzIBNwZrqgpDvI7gJmNdGM6+MC6GgHA6dfFEGUZPhqZSbhTU4pLNsGsI4Ci8Fq/or/LMyNaChRjJBupR06mMx8vIhT1/PpwF5ehGPPpGA+dR0YkZphCxhoDKogw1jvZ4WZzC0orhuPZP+HkPBpYYpZB5MfFe4XEFHxKWmDcRRzb5BHAj/9QSDBXHSEmUJQgguvEpsmtY4qict7K50hTwhqempjaj6tybMTIeCweBG2G8SCwomK/cX6dYgLvJZJtg++i5z4TtZKF2dCmJOl+Tc3esvAS7LVNmCL7PijJ1WDzv2MCXTxN4cTDgPefa7+K9534dMAJETPenv3xU+d3D930Xt33/v/DW079U/v3Opp3YvH0ffvqdm0PGzb/yLzybPyPgZf1J4OVfeVz8jz23Ewm8COPips9XRxQcjLZTR7u70fTWW+jbuZM13NEH8v77b2oaRHe3n7Ah3/p6OoS4ylZhWF2A226txaJFXscQIwW69v7jNez957sM7gLLCVLJelkQzHphZD9Esd4+Mgkc0whk+s7HH4DxX6wOU9C0sYcZjbozMGio5IQc+lLQUkMjlxNH89HxSWZMuH6sZCaviBa6VTzX226YH+ICM1Pfv7upnWUerbQxdmH1it3ITdhGp6N+mI56s+qRSo7kM33hfFjaj3BiZVbGLXXY8zjxToFVTgbu/byXYvNcSK2LOJlVeT+qSafOC5PdVxw5aKHTzLKS1i4T2lv7MfTcn6gb0x8g1uu7Jl3FAowQSPEJDnZ3j6GZNsOrY/fBvvejkEvXFFdgd/pZk4v7KtYuZ0W5EPPf2WcR4Ep26lzSfs9fT0BvmhIX33lKX24j8NJP22LJTDUzyOsna0oCP0MZM2ImI0Z7qbkQ1ApXL0XHxzsDfisCfXXLynDRz/9z1uNrpvHn//nDT+3Fjn3DAWvMvgEL3Y9GcdrKLAZjAtQFPisjIxRgZOZwXnFKyAJZdDl++I0lZLJ4x2RL2wh+/8juAABHgsJ0Vy/UB97B/CzXpAi32WzDnr1kuwQJFuZQV6m8PC3kWIayMtR8/vNILykJuGTL888jlu+0mAirBTfB2bgf/AAaOphM1+R+WuyPQaUNtOF1O8qhjvmaImD+WbWjBE0fe2ofgeTo39nZGfEwJLjxxOP3Y1/DAkb00blDhVyjewyLquqx+pRb0Ukh5fZOS2TBTQFfCNDlTGN5Lovq666sQG1N1pz16X6W1LbS5S5cc7ja4D7UhLgJwfmsklwsrMyGyjQPMXQDiqXmz97f/x5GOh1FagUE+8ouuWQSuNtm/QTdusiuSLKfeDIE17pWIkETCtbLAqifx+sleCsgjMx1AsJE29xkMThdh/m8clFNgMXLamEJkFcvNHw/jCbBcogsAIppeoVyOVUQjNAaWIKUngOPOoklGzFkTzig4yJPVEwtp1yKVrU3SyxNq6FIuqkNsZ2HMEhLbtMItcV4z9W856O60MWwKMRkkXlAD7+w4JoALQK0GuiGJKVDiSwLEb0Q/2RKDJksSUyyqMi87GeJp3dhGri4kKSD6LYIwNIxAbq4ORdK/CGJCQFfCsluquX7Y7agdjvH/N82HKEGhh0fvPLrOdEemytx3eAbnWM8DMf7z0NjGkSsaQBOYVcFvc8TDXqCiIkY55zv32xkvbSNqqd1MJJEm72chgdVSxDLfRxPqylvxMKqtxl3BLL5YmN0cA3HYrxpHKP7aD1OQeaurgLGcBOi1Lz1dsZtwyxpDm7BZUNxfCbSWXYUz/k8eMzIMzg8No7MMidsE0C7jEcHARvRgRGDAA3nDkfSSjSOFaGHNvBSsn7asjR0Eog75OciJ2CHuD9ZWe4kLSc+Fhk8vUGWiaZSHHhY2NQCZPq1tBQN5ldEdviM1LfCmMltehOmfYExhM9NShEg5ka6i7+I/jgmcRRkhrGkADcU/mVujIxIbzmVWtG/keslQNS6C0PvvU4Wqg2i+6KAL3yZ6HLycXDepQRwpAp8wlRbQBwpUeScWcgS/NqSxFlrvnyawIv05ZW3/gT/+b1bOOZK8fxrH6BiXiHLpqfebbLN+dd/H0/85h5FXPfBR19grKJXnJH+OzXPls8IeFlzEnj57zRO/sec64kCXj53XjHOP4s2jH62msfbaX2NjWh6/XWMMPibrf6LjVkFKTkaZx27f4tjFkJXXA5VzTp8/e7zJtkhLgZAf3rkQ4xv/Qiqht0MBqYCzNoKA0VWvYs2C1/ivWS4KJbYs6Ri+wMwElQ2O7MwWHwKRhyRNQOqyxLQ0GpRFqFyTfup92IJuqZ0uvAsq8mYpBtfRhepc04rmtWCQRayDz66S3GJkb9XlrdifuobGHijgxaOXicXCTp1QS5HrpgM9HzcgMTcRBhYehFDC02Ph1Rul9jzJimBxCj7a5xslyLab6sm+kycdVb86EdhxQODx81u6mw0v/WOondjYkA+xoyXifW+soYVvRL3RbdTnNcbYAno0tQ0gvx4C8oaXyTbJTDbq2JwM1x3ORqM3jK4StqGC+gyG6aL7/w+beAll0491/LeVpVGKG+J8MANUEfpnXt/iQYKVJr9mCRyzQUsK+oIU1aUkJXBwFeDobaJe0/NpspcltCRul1z440omdAsOd5nPNz3ZeH8wCN7Jh2IrHQ12HdoQKEipzMQXL0kkwFUYCZP6NB2lhiMGMMLLZ5/eh4+d17Z5Pvp6ecPYvPWHi4GPQSRaLU5tBvWXZv43NtpP62lG5IXVBHNqK6uQGcaWYQtXpxFIGeqZEEWh6UXXogqLn6D34F2vr+cf/gD4iKByCKGfPvt0FNUd6Zmc7AMJPa3DFoDFwJO6xeRoJv5+zPt/3g/P0pns8f/tpfAR/TgS2a6Du+/9VveD4IuMbNj602eL8XBF1QOIDn7Ki4uZvA9n/hS+TxDWBvwpRR7verSCmpmHd+iLVxf7nvuObSFEct1u+lgMsLyvoZ+sl68c09BdTGq8hdAbU+E+8474aJ22M5f/YqaJpEz8IvIjslgiVuDnXbZqiMcK5GFR0VMd419OTK0U8y/SPdf3Aj7CGJ07yMbkkCMlOBJKY1/82p5eRQ2gpljXaNppUPboFefJYp410Gmi4AuDlLsRdMsHLszju97XWoK0ooK4VbRlnrZeWjwhGeHSCjiZukK2ilebGzAQCIz+n4Cpb5zN1BQ10WGpaK1QUadLPbkGU+iLouALYkiiMufOK78pp0nCHr2sn/sBKiklCiBrocalh0r3+FPDZ3KSshq62CJc0fPIP7zL2/givWLsJ5z5xBjHQFvln31q4ifBnydzkpWgK1/vHEEv/zFT7HruEtg6Wp0/ty4GvmPEVlgp48cotDsWxja9jGF9sOLn8ZSEygtk4ACYx6H0TuHi5iuTaVHd0JxWEFdNfvNUb4C7boypOWmUf/i+FhqvvNeW7cdBXkf858U47WoYG9xYKy+G5a2Ps4XU3OD3ZHEcsuSKf0YjiErwZfRIDDcTeRRAT/8ngkNAYR86pcQagh4pszUJTMaWZKd7IGh0E4NQYKX1LnRpSUjdn457KWFMGZTs2icQtRv5BH0dmJpdRJjtXjY2beHh6xMtHj72Crz4yiTY34P44I0WmBzXrUyHg3Hdlk8P5UgY2Sh6kjvi5yxetg30SZ9GjEd/dpz0Z+zdFq9Hf/96wk8pX34OMz9AwozSNg74xwf/B8cq6jX5yhQnjWfo5QgOZNsHI67BQReVlQRuGWCU95TAgBLDCmgsJPvG+kfpUSK4sguYd1wvx+8+SB2ty/mbTlGF1jXKO68rh/303DCv9U3tuHun/+RjlxjSrwgttBP/u5HnDd78b9/81fFGMPAe3jvPXewbDrQOW/LjgP47SPPK6K7yYYECvDeFrLN8c7jJ/r7nq2fEfCyKoqJ6ERffIT9x/DB/Nc9u8+oU/6nHHaugRcdnQFu/8J8zD9BpQdeUdb9OEJnERHgnQ3luZdZrCYK51ISIaSJ/kv1Refg8u9cPxno7GCZw1MbWpFgHUZaCxkah3czwGT9LcXIKktTFJbLoOg0zNKxKPjgWoIOMesvxR5NHWmfkQPjipJ4tPeIav/U4yhB7cHDQ8qCUZowUU5ZIU4LgUe589YaVM/SaaaDi6YHH93NzIe3w7Izh1GXQOHj7QdZh+zNPPm7HHliU9Gzow1OszcwSqvKQXymZG3k+1TSd1VxZktSdF8K6OCg8XutlF13HYpOO21GwKOfAen23/wmIMiX15PYSBpNDiSefiE6UxaSGWOBZNwP1A8ptNZV2AX7/u2h933efOxOOV3JCh0P6CI7/jSBl/PXZOP8dXnHpKnywb4ebHnkSQxtl+AxsCVyAaOmQ84wJ/zglreCwsef7EUGnZ3KuDhQScpJxpxkbgma6VlKd6LaC68dxtsf9iguX/WHBzAwPDXAV3JhLELCvmdAMoDf+2otmtuMeOnNVgIwodOXBGDf/9oilBZ79Y9Gudj61R+2w0oXLv3hjRgPsidfwNKzBApI797dG+KClMHsWXX1lItTfHY2amj9m0m3qOBMtZRMWsU6muBjpObkYkzPRdlMWW4Z92bbP2hdvzlgVy4CuGp8j+LP4a2NT9Q9irTfLgo2P/63PRRCHo9qwS37+ej9P2B/EzN7sdFpLIUc221EaU4DdCmB9fAzXXtxUSIKCyiGzoA9iYvsKy4uxcplYot+YphDMp/t+stf0E0NoeDmcDbBzYA8jpbuvla6aAHKM8h4IZNK/c1vopPfa3766Yigv44L/tJ/uwM7Ew/CqZre0WOxbQGKNUUzvoODz3Oc818PGTACxAyS9Tk2TNbcEAW5+T4W4Ut5/+eyTCMuLlS/JNL9UECXBiPtxrmQ4qJUHIwiNRHNVuoWmECxZRPgp+OQKakQ4+rUsMLcgyMWjK1PQ3xXA9IPcV4gq8g2kVhR8zjJLHF18JgSyxQxeZDNUkVxH1Ix5R41IM/zsRBw6ffTOBPtHT113hL4fsjnM76a92+YJUidn+zE/3lzN4ryslCWk4YzK3NhZCInZ/lyZE6UK0W69umsZCV5JOPrimtuwzt7VUhM8TJ6Z9vMI104q86Fb9z1n8oiXcq1BkbIMDDZuWh1Ky6FFv6pAG0ToJqAIh5x45pgGPh+73/sZGs3ktv5zm1vYVxAYeSxLpYfh+q9+L6jdZiRPK+MJcMsdyNLSEp0ZKFszpmHAdvUu05NnTFb5WoKv8/HgDkWBfmJBEq8SZ/jbVIyo4+1YW32G3C074K5kY5gFol3wo9Py3gm+uhEOUlsJIhnytLDLGiAX7NNLPL9f5dIICGXfevDKqR/B4fHJ+efwkVM0C0ugI0sCHMhE20CwhCg8jVXWzIc9VkcV2SNWb3nZ2U/H+y1wsTxLa6fwQ5QwqA9o0yPA00sxw5iu0hCr5pCwTPNS8F9nOwcgnbTUwQgI5c4aksrMLbscow7ohfszRvYBevHb026YspxpR896XnYmncpGTAzOxhVFieiqoiaOBQflvIkLnaVP70AjYelUnFIZkmihs++izfi5b//Ep8c0R37szTahVsvTsID1No72aZ6wLP9+J/NY+nPmBX/utDGSeDlWO7of5PvzCXwkp6ixR03L0BR4ewy8MfSVRJUdLJcoumVVzgRd0e9i/r6PgwMRKZHrzhrAVZ84Rrks+RFkOf7/7IfDe0WxcEmlRNIWvMO6Nr3IdHZD+cAadszFRZPd2YMBFJKWd6RkIVWLiaRS2efmjXoiy8KsenLyaLtLMGBcHZ43QSUmtu9zJT1y0XAVx2ywJHg9O6v1ZJOPzuk/p9vNOHdD7tY6uMFhPQ6O1ao/g7bYVLNzZxQGZymUIQ0RmVAPxlF1sFAwcTMRQWkhcsk5v2+uYsL2LR5zB4ykz2R3VIlJWHlf/wHdDMs3O3Mqm5hhtcYoV4+mYuRNXSHkMBg67Z2ljnQspL3J9YxhqStz8BMirlkMHyvWgnQeuuuQvNY4nGDLnJtnwbwkmpQ48ufK0FZUXTW5v7DT1hV/9jchq2NJugsg9C/8WhYR6iiVUvQvjWwdEX2k5iegrJ56UgyD4cEsVXUKSinXsFcBLfhHhnR6Lj3wR3YtX8QbZ3mgNIiPZ0XzlybM8l6+fwlJThzfbFyr+//4w40kSEWrs3jIvuu2xczEy/PiwcbHn4B258Uy9fQAFFPi9oslii1tQV+JvXtNRTvTU31stRyVq/GArrKRMpSm7hIVlNHKhIC4ebCLI4sBRGHnqk5+T6y4z7EqQI1i1zWq6HXel2T/lWaBPlPkPlyqMn7npqpbfng/2LfkdrjKzUq24fC8uvR3EoHs5kPOXlKeXRZuuqyClx9glguwdfuJFNkx8MPY4DghX9zsVzKZaLl6oEp1ot8XrnsTJQk5yCGrCgNdbH2sHRwJOi7vv043VwUryuE6sa1cE0DvBQ7CrEobsGsFlVeLRZqwJDP33BkiILsRrQdpjBwJy2ie5pg7+2ms90YcrM7CVr4OdLMcPMVTZfDtAymxoeTix1fiVG4rwk7TbLBjuximMio9DVJpKgy6eaVXwVTYhHG+ZkPmHVSCHxzbhKGuTDTSea7/QCKjuxCDM83sXcIapYoyhyigAbc4aJjyPLLkq+H5bROAq3BTUXdnWomGkpZRtTDGEafZEAyQdpn39uF5AQdzq8rUwCToaR0/ObPL8zKSvbMdUuwetlCpSz3k4ND2E9dozeeY9ne2PGJvp9buhMbXnw44J3iy8f6xsE4F/PjZCMKU0DAbiOFT4WhYeKfwk6V+EW2cTFpE9O0A6aDezknE1ybmJMTyBj0tNXDRk0UX/NP+QrrResYh6FiPhNerZM6H67EFMZM+WRTERgrXoCevBXotugUUCGLulEV82Y/V/rfM1mE6+KoJzbWDnUvE23th+GyjCE/g6Coajq9F+9eRscKMTSaMvXK55gdJVhv9RPPFe0S+0TJj/+xsxkjGUxe8EWAJjPdDt1ZJXAXVKMvIRdFF5pZLicW5WGEeImilPVXo6dZHwBcjpC6sZ3v4RGCosE5dWF3ZeppI0+Nl74hP6Yg++BY2C46zlBpu55j6XlbxKc+jswk9zm3YNgZnWOo7Cg+xoaUD5+ApT/QDEDKlcZX0snIlENX0eiUk2voVlrMd76RLKGZ2lzEeHeefSSE8TLTcf+nf+7Z+dnEKjFLZ77nn1XfnwRePque/xSOO1fAy3U3fY9MlxrS8o+RGn6M12ojhbmV4rut1EuIRl/FSq2QvXv7mEULzyzREaCoq8tCzuJFKL/oIrSa4/GXDbS05Rykc1uQ2/kR3Id3IWHoKJKcRgUhP5YmNFgRlXVa3Kg/QBEl2HrKAAAgAElEQVQ2v8VIDB1mrPNXoTexhGVEbtKdibonx6GrLzJlvqllWBH3y89OZKAa/pxKChLxbWrZxMdHnwkX2uUDD+/EES44/TGm5c6nGFxvZ2A9ihQyHsztVlho1RzcYpkpyFxcBE286L0wmHVmIonH99go2DpRhiZaBBWXXjrjQvEQy8yaRFAyTJPSjlVCqyeQtXPnUfz5z3sVTQcJJApGPsbo3h0MzJiRI/9FaLQOMmRiaF29Q7sKBYUG5OQcf0ZsLiblRQZSui8IT+leUpWslBalzMK+1tdVg2R0/HVjO+q7WBLA4SHTXEHz+zB+/H5Ibybk5VIvIQaDE2VFSqBDcKMiLx5FK5ZgTEr9guxwxTJ93Y9/jHiCaCeqPfVCPX7z6H6WLoQGVAsoep2fw+wVg+w7vrBwcmw1UNvpj08eDHCr8j+/6y8rxYr5BhxgyYdoSO3dR1HtMKUpQjWOJRdZnB38GXMGAmG1tdT90JH1Qi2GknXrIi5ebSw7cHOBHUsAMVzzyPPA0gJdLQGHKJrZuoHH3RCwpdtlgMr9Ay5GTxz7KIpTC7uJlIg98fQ+7KZbTiSLXt8X5wp4WX3qV9DXZ8JhlhtG86oWgG3F4kycui4X11xVq5STfBrNTkHVbSw/GzksAuZTzeGqh6e5m+9aAbQn3uss3axddxFyuFjXEmi2Dg9j53/9FwV5h0NOtdfVT9DBivTbr0TMknx4KKIZ3FKdKWQELoU2CoaUJDzEhr2pZYQ0eBNFrEfQ1UMxWHE18dM9ErHZtNguLM7YCFtrI2xk7UzHDPCdk32YTBcCw25OuEopyQSTItw9EE0LPUuB7EGgi/+2Aj5qE+Ohyi6AK4fuOJnzUH9GBXpIy7eTUSALT2Ub3ufqpoNY+MEW2FqaYB0j8OPwzreSXBDwRRelY1sM2VGDZONGShBkMqmTwPelLLZHWfZZSsC6+JRT8MymfdQ30uGStbVI5jz2pXt+O6OV7N76Znzjnl8rVrIpyQb87Adfx57GYRwm26++xQtgzNW89Kc//BIrFx27Nb2J5gVimd3F0iofS9i38Jf4R8aPk+/Y3u3bFNDNy5rxanIojBn+X4yVwrNqlnmlZsPU1et9IghguOj+2J63Dh3uTAI+wvShmCuZCtUV1MqSd/YxhGlazoFJY63QDbTC3XKAen+0FvdzztFo7MjPauPhZ3ZvGxouZ9mrH7BAcGM4TU9YwrvglHSQv7W0bwwLy6qQoEt8Ui46NYVoo1nBkE1Dt8kYHGixoJIO40sut8BIlmpwy83Ucq7RIm7nPAzRYnqykcnxSfsIjvjpvfg+EzcuG+OjSlpJuwmUmcWGmk100UQvcDZsF8H9C9o2wrhr67SvUP3FN6M7bnbjKq+PTKmtGwMcouQgusISjKy+Fm00qBiifs0A9WqiaYsoH5BPJpJpBvBlLp6lk8BL6B3x7P6MgJe6Y3gxRDOg5mCbk8DLHHTiv+ou5gJ4OX3JYbzw3B9ZX6ifcfF8ovrBSLeFpg0b0M1JPbjWPPiYXV10y2kZjUhWKSBAUUK3A7F6zFu1CpvGi9F3uAXaxo9h6iHLhYGAJBhq8kSJjKUHIoAYLfOFX0yZNw+5dClwjFmwf0KrIly/xOYVwrJgDZLmV2Jfo2gkRH45yaSRYuBkzEzhdO3MdTm48iJq2syCOi9B9p/+ui/Agi+GmdSaseeRYPwE9n7SX492KBTNcE1Np5eMWpbFpGexvIiOGCaWKXmSSI+v5MIxEct/8hMYSL+erg2Tev0xFxeuCNa7pQRvFhC82bWrE489tm8SWEuJG4Nmx7MUKpxiPUhAoKJVt239tRSUJTNCpVF0YnyuScc6RudiUg4HvMj5XnZaLs5efWwlD010dHryvaPoHg2k3ia6TUh8/c+wjoRmo/OWL0HPbgIFBFiyWVpXmp1A1lecYo2uJSvDEoZ1NO/iizGfPyeCaSGL9t/8eRc2be2i21Uog0X66PJzC3DnbUuQkR4IOjwl+i3bxf45dJLNj+nGUg+ZBqPeRevIqBWHaIfsCAIvFbtSlk4UMjPm8JUu8Zjzq9NQsnQ+aqlzM53ziJvW8uNka6l6Qp2hfOPNxQWYnsyhaPrP6aSzhYdsF3Ugw8xlP5+ChBdEtY9jHefH8z0Bcp94eg8+2TM9+DKXwIucb18/wZfG6cGXYpaVVFdQH4HrKGHlnLI2F9dfUzOrxcbx9M04rYS3iWCu37PlohCt20Ir3f10iHN4F3gKgORJw9KzzkPml7+MeGoBdWzejCYpOZoAC2S7IdcwjLEmpWIglgv6zHtugVPUM/2axq3GOsdKGISWGKYJ88JMHa0mAixHqbXUyHmzgyL18nz4GCThvhevH8fZZ7xPXagmjkWCHJ3UTGhzwljfw5KDEZbshj7DSnnRYbISJ5yKRPdiOnZUPEVtHbnzYI6JrIkm5ybCtmouolO50EVuCoaX18G9fBmMC2qxm9c1JCKibKcd7oejYQzxHhOSRyls3N0A++Ag7JZxpexsIcsNo5k3bWQw9VJQN5yzoY7vzlzRbmK/9h48qLB1cwjEVDLJ83JDL9JSknDVRacisbAI6y79ZlgrWa92DnUoCFTc+I2f4YffvpklUbm47/dPobSoAEUlNWhjed9u2kpLm6t56YKrv4MffqmGcd7sND5sZP0coTtlO8eoi4LB05aHS4kWS9dE/D2k8bqtFiudtYYoniplUyxj1mjZV2Ww5s5HY/6pLL3kmOHzkUANsjMpOB9DQE20P+RH7MSFjSOaHhaW8Fj5O4mppsqiPLy/BPNGO6EfboPjyH7GaEbYpQwtwvosgeM8O1PYHNPrSLndKpYclfO4U2LOnoQ4DKXqCDZ54yZx6hGhXWmSlIrJzML4giVw1i1CAZ+fT15vV2yik1nq29ZnU8q8Umhtf+pVDsQUjrLMaCqZmEITCNEnkrBU3ZsG6/5sloN5L2KALoadA2b0EpMYoV20r0mSSpoQkZkiw/IcDTrpciR7XbIgLUDDLOzLIuiXWdTucW95RbFzj9R0y0/DUPHaALexmfYd77EgZfPjsAwFxi0iLKw+6yr06lmiytZFwH2YrJ4huhtG02rKklCYHU/du8iL8bl4lk4CL2Ee7X2fEfBSexJ4iebZOLnNHPfAt771Lfz5FRMzMLNDnH2nYR7txrnLga98+z+UiFAWQBIYapkhF9cTPcU3pRRA+UCaZC6IuCs2eTLmJ7aXj70BUqxSVyl/qjlp6nVecbFoFiOyXS/rzA+9+CJLWsi+4KwT7nsSuNTX92N4Qici4NGb+MciOjIl0zJPJp2B3kH00YrS6IlnlmoqA5qVpkF5YZKSvbHQiUDJOE6TVlWzfCBv4UIk0c3HPW5VtFmE7jldk4nVlJTFIHE9+lmCFM5WV8qgfvDVxeyzOLJT9ipuLtO122+swpKF2bNaUDz3ymFs2tYzWXIk+49zWFDT8gTMu99moOBQMoORsKHkskJUXLgOxt0f+J2aGhkrbqTI4DendcWRIHPrgw8qIo7hWnxODtZ+//s4yEDz8cf3ceHkC17oANW/CaYDFKkMavqa5Vh+83W48MJqJaPWTReBVgarHXT5aaaw4iBF52YLxMzFpBwMvKQx8/TFi0pQUTL72mq5ZNFzef5jikpHiAsLO7fC+P4bof1DIcMk2pAnGvuRS+tw/0yXoboaJtogu4OYG+r4eKz9939HEl0V5ro9889D2PhRLxeBVjSydGQ0DOvl6ouK8OM7V4UsjgRM+dVDO9E7MPVcaOLcyB5ijfjeLUhLiEE5NZt819jIsoleWsn64lgJzAf5b9ERUpxMqPcgix4DS+zOu+0SLCTTZaYyOdMjj0BNm/pIzUX7X/Vdd0EtJXhRtHHbJi46npss4ZOvuN3Mbjrv5rOUEcUePttNHvnLbuzcJ+424QOfuQZe5GqHhi2oPzQUgpHrdbFYyvd9Apl4weLrp63PxbVXf3rgi5GsgG18141PAHSKfpV7PzytFJDsos3uxArQ42GSAwYsu+EG5NJuWMUkwZ4//QmDO3YoN9ZMduYAKGTrR9jRL6yA4asXU+tlaiGy0roEubopa3V51wrI2NI2ipaOEbR2mFnaR4HbGYAW/9GUmGBWQBe11uuA599iOEat7WTNtFJn4jD1MYx0RnLY4BCmy2GvpotMIjOVGGkp6u4prIAJoeUJEkfIAlrE3w1kgYrrUCKFcW3sy70cbg75nP2lJlPTs2QZ9qeVESQhm28zNUb8xMYFrDGMtSB+iOUldPMzqJ18T1DENExZh+8ahbUmrk82JoJCLz4GRaefjhiC2SJ02sskkYbltUVku5Sdcw6e29HEd4se1155LgHuRFx0y4+x8dn7lRhG7ou0X7Mc8qU3NhP8MODeH30LX/vB/8JTv///FWbnm+9/wlLMepxz1oXUgjNjZ70XTJ7LeWkpWZe3XlERlWmCjN0WYSOT5TLOcR0OiAr3FhKB/CEyhkZbWgI+FmBCShZVNrPI2iJr3Vlc1POZ7RumzXocBs//MnptCYo+x/e/UYfSksB5yL+sxlceZaYTjoVA32BrG/oZOw7s3U1HIgq3my0K6KeIqrLr5U9hOsocoLBzCOILkC9/NyQa6QLUwSfTG3dECgEdLKXpHZhHptXUQ+lmUmOQJVYKI4fn7dTzOahahJHSKnSl5mGMwq76JC3LkByofKeVzGLGJizbGhhxKGM8g2CiLpEl5jeaMBTjLXvSa2OpQ6j1VXJ7f3ewFIPtXh20vQf7FQvu1BwdDg+I05j3HaywXQhO+YK4ZLqBlRHkcfAcZst2SXKNIOGjp2EdiqzrpMkrhvmUGwIE/sONh+Df5ZPtYtn6bojzlb6oFMMrryGj2fsNucc9/RLL2TBsnFnvRb6zkOBLPsEXnyZO8LHn4lk6CbyE3mXPgc8IeKk5CbxE88yd3GaOe0BhvLxdRlh8Zk2BsId2jGC68gjf46TgLvzx/lusFb0zjfLviY18f598BGX7iQlJwBuNYi3ntZcTSzkBHCa/7tuHsBk8TsQ0korIRZWdGQuZiCVY8imai/im0Iy7udD2z4L7n4uGIEJxgR6O/m4lCJYaZRep2DFpubCoDcpkLNvXlidRQZxWkvy7yzgKe3cXXBTVUwJkmYF54VIGk0L9kWyxl5xwfmjtGEXfAG0TfexxX+f6/TuedFSv7ab0EfdDGuV4zVoM6PO9AaIcgh/dcnUZVtSRRs6d7dzXiyefO6yUKEVq0n/3fLMWuTnR33OhwT7w8CfUkvE6KkkrHN0F04evI8lylAu+flKxGQxI1iToHaqKT0R6DeuSWc+dWZHMfpoISuPoiPPtM5A27wpq96+O6Gh05P33cUiyueFYReyXZQQPe2zJCtPFB7rI+aXFDkO143nYzYGOKmqyXZbceRcuu35d2ABSEXCmXbGAMF0EZJq58OjssypZGT+mcUj3zsWk7P8sLZ+fgivPKmQWdPqMbrj7LI4Wz21ux2ZmcMMYd0x+JYG2mIa3Hsa4n4CnfCjP1urzViGmszUgi658keM5oYg6REGBsXxURNZGzRW8n3PoZrZ7fy8ee6ZBAf1k7A1yHNU3BWqtFOQkoKTIgG9+cT6zxFkhgOu77IuX3mhVnJAMniEkNb4Pc+vUwrC2OpXZQ+8iTnFNIjBrnViEScZfnCR84z6f1tECMq378udx7q1XzwgKWymA6uH4jY1gvevmIjDmu9+FrqQk4jPr/4GTtHK7+36yXToDtnfZ17Nk4so57fuoTugYNpL32sNP7Cb4PBxW/PhEAC9ymkNDFhziMX3v/WKyG+dXphBw4cIqwitzxbJM3EDmi57v+U+jjRLEF/DFRraFNKerh6WZLfAQqIq1e99lIlxKFUk+pxosvu8+FJx/PsYnSo6MfV3oAxleYRyMUq+/AKpTKuhuRKc62zxUxFGslKhsM63Z2yhGfoSgpjBaRFclqJowqktPTDARdPkgLOjivwOZ+d1cNNtanRimxvfQe0e4SKPwPRk7suAVdkKkFayK81dcaSUTId7nVYAJqQhLNojbEG2cCYzKj7+9s2x3hC/v7jCgSUysCmkxabAkVsCYWAyrU+bdqYBc4oYEzxiSR5qQ72hFJue5sDbwPA8T78EgSwrDNdEgSyfbVcq1eim6a2fCxsCYoPSssxSHv2c+OohUMl6uOGe1wjS85acP4Sd33YTqqjL87Z+bkJySSc0SCu9SMyWF15fC6/3mD36G+356FzLTk/HI316Ghkmd+QtWMNtvwV4yvKTN9bx01Vl5OGdN4bTjQZzzGl5+GaMEUGZjOT65U3GEom6RdcJOXbFRJugiOi6alDRoWXLk5Hs5bdk6Jtm8AJOLyZSO0tNw87VMLNXSsGAajSuFyUVwrJvHkOOYyKgVZ67pEmfBeii+fysgjFsYv3S2VMqjpDTKqyXnLZXyggDyp92eymRbkRJHKCAOv+vMSkLXsmUsL1+M5vQi9FLThbjI5KnEihsXH4c4xmArdnRg02Zv/CSgYjwF3+VZKlpoR8lpozB77Milfow48fi3WDvduXbMo8aWhaw1gp18xlQEFlUsIWrpsyvAndKHQfhEiSEWK8pTqOEXarseaQCoY5zI2v8SzE2NEcdILHWOYi74EgZdsytNJiSClA8eow7blA6QHESAN/VZ16BXVxRyzP6hcSWeGzFFB74IuJjJZJOPIeS/w7l4lk4CL6HDwnPoMwJeqk8CL9O+yE9+eGJ64EQDLyfmrKPbayLGkdq7G44DBGGModRmo4k2lwRUgjMUCcyO5STQSq6PWQwrA11O4DJxSjZAYvPYhCRYE3OYVWQmLZ7Wb9xegBhlAuD7Q+8wQT3KDI/ZSKvLNBjmVVMLhfXkBF0kG2chJD8mwmaTMJTf9UzgFhIfymTorZsXoMpLGlLKeUitHa1Zj0FVOorykxhkZCplICp+FscF8579fRQ7ZNClMJAoOMd9CYCl7EmhJNHCkRPu5eeXkJkki4kJdEs5koBU3I8AWwxwZZ9SZyyASmv7GF7c0MiyHNr4jtZTUf4NBs9OUuAt0I4SfHEzy5Hg4DX6Ba2sx85ZXYWxpi5YuweRVVuC5DyKvVlGYagqRu23FvCcrYhxreesf5nCfPEPmIx0mfmICwsHSzXCtTxqasQtPpOaLlPlRbKdnH9u90aYGkJZMjWfOwfX/+xbUdHGZV8SpMnipIUuT/LT0GpE96BNqYX2d0eci0lZgJdzr/oOrjorH8trMo9pEd0/Oo6n3mvHwc7IItL+fZnXvRPj7782CWwlkmVWST2XlOwMiBaRhUFpcBMxSLFQdwaVfom+wTqyXlLo1DUXTdgq9/9xFzNXU9diZ9R6pG2Ezkbe1FYibV9r56crIpT5OXrc/dW6iXE9dQYSaP7uzzsxsGsbYvZ/QA2HQOBGxKcXUyRX9iGtg4vQDgJuEhwPDoqTxNSqPL28BIXnXoiv//CykOMEX7OTi2cbS+RUE4vocH3iJlClO/fcGQEc33et9p1Exp7k9lPMBY+H523/Di0lp18QzcU9mat9CJj76F/3kqlGV5kg56kTBbzIuQvVvpVAQy11O1JT9LBE4X4xvyoFt9y0iCzI2ZVZHGtfDRLU/ISaL3a+9zxMJDjd++ChLkNMJ13aJqhYHg9t78ESQDLMlj/+OLK5sG/fugWbn7if4EFkB5G0H94CD1lRmoP5aGwmy4/j3DYLRkuka0pi5v+s0wV0CWQqTNcHY3vL0fcULdGdnDco/us0DWGM5bxW2qqGA9oliaEpq4Q1Ll4p/zGQ1ZLExadYPMu8FQy2+I5t4nO8j/OhK8xiPJu/z6BDz+FmzjG6JMQWV1IluwzG+Dxmz2kl67de0/EcL1tkh6qrHkZh/fmBqaLZIoBKOEHdOAIihaeeStsVGywsveljKZIwO5L4nvTULMFfW80w0jFRAOtE2sX+4rbPEfDvx2NvbecczGumAPjnL7mEAsKp1K6wKyBTboYeR5qPYMNbbyvvIZ1Wh+uuvhqdfFf20ja4nQCatLmal3zaYwLK33NLNfKyQ8vTRggaNr/7rlJq5aL+3vE0D4Ogzo8/ZuxkxSjvj1OfDmcifzwqpBg5ZkaGoaamWOK8xUwcjJIBqEbVPT/AeZetCMtKUmI4nlPv3r0so92NIdEq4/3wRLCwnu25O5yNHMMsRZ+mKbGmu4gl1vOQSWHsTOr8ZfHPFwn+vQsV30UO6lFRNF3s07mp/CisG4nfOHbNFJYvf68N7Sy3TSGrRca7L35dQa2XjCr2Oe+PD0RWIrGJcEzVnYodz6mYTJqaSxNYkjTC58bI8hp/tovvEnRMeF69kn1Ot6HpnMX8L7mwbxu14zZOC2Lpz7kKPQnl0+FcYXsxv59sly1kuwQF7fpiYbtcS8A2/EJ6kGzHzr5xjPqVVk13n5YvSEYaS+rGg+elDQ8ct1D1SeAltOc9hz8j4KXyJPAy2/fcye3noAf+JwMvvu5JZrYqsX0H7IfoxDNhG6nMR3x5DxEN97kmCKiRk6aCztjj1XJhk4lHlNKlObjK9tW1izWkx0CtC30Ghe3IjHEFvjhUZMyksyQjkd8Zb6Qt6ARVQmp4h0l9nMnZQ5g9kURy5VyU45fPh/60szGqpZXgRP2u75pFO2aYAZqyrQLmeOlD8qcv9syhLkxZsWEySPGViQk4NMVOmqoSkytspVtC4tARpOzZwNpnAibK/kmHpdBw4ngvq67NpOwzc0QXI/l91qpaOK19dDAYJnPCO+Fnr6iCLt6J/GuWIblWFo/el5/NWoSB/msYdCQoAJeUmo289SyGdjNIFcaPwlwSqz/+nbdEBF2zP38HNrzTrTCYlHNRfugW5e6D86MXKOgorKKpl2tWQRquffDnSCvID3h6wmXHvEGN97v+nyuOE7TTbGgdQUuXEU3tJlgYKL3z4q+xe/j43CNOK9yOvz/xILLSE6JeiPtfyJ7mYTxDyvxAlNkd+a4+1oXUdx+llWcXMigWW57r1XORlrxgAYyStQwWhCXAkkiGhol26sEtj1api2+66ZhAo+B9/enJvdixN1DHRLYZHDGz5EgcMcRtIbD+/MbLS7FuRUFA8G1hJnrTn5/ER8+9Cyvr+8O1kkLajtLtxEft30dKdg+DtbExBuccBmqdFqqKOuxxVOGLN9fi9luWzViuZ6LjjJqivZGam/2r/vrXZwUCjjsfhEoTmE10O+qgib15Tvo84smeoA+e+Ns+ar5wse33DjuRwEtVeTJWLcnAP19rDSukHOkyiwsTcNsti5GZ+ekIF/fRmnkHNV9kceh0MQngYEadz0Kszbug9oiLi4c25pwLNCtWYM0vfoHDKZ04+szLGPlwm/cyJjLwMscJeCjzT0xWAaxVt3LxNndBp4Au55z5PllYrVGPktE9Zeh7soUg6NQCXapEyVeFTs/F5ugAAXcyooxeEEmYLrrKKuSV5iqMFhE+jqYEWd7hhzkP94dhu8hbro7zj56ARx/ZjUdYYiUMBtEG0Saz/LCoiro4pTDpcxUQRuZtAfXv/PICzjHD6CLA0L19u8IK7Oe70BTBcS+bjAY9QWxZPHdxewfZLqIhJ4wX0XzJWliLpJJSAkMqDNFZycgSDRfvlZ7CwLF0bTIOkElztAf9fSMYMxTCVbgQ6VkpdFrTI4MLcCnNHmMSSWKLlglhUXERkjbXwIvss2be/2PvO+Djruv+3xk3chmXvdPspEmbNN2lg9IyyhJlI4KKDBEVF6KiPOrz91EeREBAHlBkKbK3CBQoHXTPtGnSJs3eO7nkcrlL7vJ/f353l9zKbAo8j/36Kq3J7373m9/x/rxHCL51Zc4oS7WHILyEHMi1sPpIcpryQ+GxoYXMn8qdh9CviaKnlXoUUAiyGRHUUafMq3SJZBKHpyCUcudVt16JdEo/XeVgw9xHZ0UFmgi2tJPdItd+qrKn6Rz3CFOXhm1lnC/6LhL5BVCmmhGPuCWpiJn7Neijl9q9XPhMDPK5+jMBpmMsVJUz4bKN445CmOY8p4vFhwA++2LEK4UePdlMy090kO1CKTy3sRFUlGe2IF+D9As66etkckij7FIou2RqhPJcC3o2x6C2hMk/iu8N+wMW9oIiVKjopOSKDE+nCbHC0uH/IvlsRfJdW5cdQrnO+Cxq53WKHKhDwCevYYjnMl7T0LemJ/98BeydTgsm20Xvg+0SwPcj4Jyr0Ubz4YlaG31tmjsH+Z5MjfmyYn6EAui6FgVm4106Dbx436WRys8IeMmc3jM4nef1ZLc9ba57slfwc/z5fwfgRS6/YCfhg83QlLLa3cgB20FVMJOx0cNFtFA244ItMNXTVI36XmeThb741SiLMY5GUomQv0d/z8mTOo6mp6QBO7Wlmrh42JZdiG5VLL+XYE5PJULLd2O4sZ7AgpHgzcQDmGhtBXTxZOK4PkYyh4yKkAkX2TY5BTDQhLeH1TAn4m/iwRw93unmyeLrMcymZj2WlbOputWHmNpgefcZ9Ha6Uz1l3+HU9eoGO7gAtFBTb0JkQRZsWk5km4dgbhTa/Nh1S7rgDETfkErKu/skxWTWoaT0KrR0kinUWQHb9jcx7DBbdJUwKd30yi/gg2pKl2Si7ECKBJxRs+KzuG8LAa8yNymbgGiJ68+GKW8dWTYB9BJyStfGZGjOa+QcBtwKpPw/Ouqng7QqRUctlT/n9xr6BvGXP/0WH9TQ8OgkZHvfPqsCjzz8x2n3GLK4eGtnAz4q6QZTJ6fdEtqPIP7I+0gixdZ1MRNASY2Wxse+ZEVhWTQLpAxvmIaJrk0WgivoOxE1RenMeAe7dVc9Xn67yicAKR4QNQ29ZFhpEB/rDlKJ3ODu7y1kNdwuRWjiZPvoyy/DTPZUZU03wRRJdvIecOVdXzgvin2BXVIizIi9B5rRR+p3ED1vuhOW4WhfnLLIWUPjxt/8bAUZEOPLwEw0lAT9pvxdDE9dz3VEJEY//zk002vNIsgAACAASURBVGAHmS00LAxkMhLfMWcT2cmI+VY+l3nTvu+fhw/Is/vqW8fxCY2TRfIj7VQALyE03Lz0onQsX5Ko9JsnKjvxBOWJ3ZN4YrleoySaK3/r5qJPDXxpYnX+EJOwJJbZCrJe6vvhVy+sF4efhC2M7yufc76nw+ecgaAfnQezxoq+e9+GobZOKSoI4OJcSEl/5d8egsGss9CZvNSLaTST50Ef1ouz1xJ0UddN+eO9B7PQ+lw1zC5MVHmnO7vtIKf0u8GUWOqYTKPl+Vi6mPwXEYPM7HiFiTmd1kN0tozviEdtRNlFCtlDcxyLX/n/wnSrI3DhWhgJIJNCHaZHQOpcmPRpMDLGV/rIO28rRGK8Hkay2fY9/TSOv/SS0hd6VuO19JJJWLJEAWd6aabbXVamfDdz0uAXJIwlJv0lJUPHBampz4SBXhq6smAgAH+gmotKgtxmLmSNNBMVQGbIZEaQnhLnhWdARSDYP1ivLJjNBGrEu0MAGLnvzi5uNhaLvuTkl61LwNoFkTixcSMaKKdUxoGJJi3TuWncNpS+V90JRSj7aAd6Sg57jDFAhIGsl167nCqawNX83GQygwKRS7N+HU2M+zg2CdjSSuB7oLV10tCFaR6ez81tNpFDlRJ8cYCJHAt1cVFIWJpOdks0QuKFTWxWpOg28w/YZ6eN7qeHAMr/kPV0hPfw2DG7/5WSfEW2D7nSSiKjndUFLCLgVFBroOzMPo5FhQXijq/mUSrXgZKRYxhWuYML8iwVM5Z+sJss5j2p9JK3B0TIc5yWrMEWJiQdY8qRs5+Qv4VJGknzX3kXilJ0yE8IYjKTPRLcxEmGHThxmhOzSGkdgG77P+i50+7YD3/tMcyqomNhPuurMAy5m3xP5dondzCCfDvHVI8WRAZc18LLlOTRyZoY7rZ1mZXkq6m01Xy+tZzvOUGi2XiXTgMv3ld+pPozAl7STwMvU3kPTm8zy1fg3wV4cV42NXWtUZ2lQMl2mNqZFEFEhoGUXGU1wuhguXheYsXol39kkHFlvTi3ky4jNJLMkfg5CFh6Lie0y9HvMbBoKJEdOXaIAMxe2FqbRhkwXt9FWY8ACRPGH/ILI0g11tK4ePQYOIoO5y5Af94KdAcwmYMUyW5JaDnR7Rbz6fl9MvAuyCeyzwXsZNXDYKY9hO15Bd11jQoLwBf1NNraAZWpG5HZ6QhJGma0LQd7mt7aPFIstBlxyL5rPdEaAV68O7+ywxei740d6G1s9f3EJ2dhu3o1mSfeRsI5Qe2ILiMjh5NXZxPQJSYxHEMbbkYvKfqnos3GoLxuzj5sfPOJKTMg5Dy6CfqItOhoIyd9kxelvE49MiQA162JR/s/HkN/nffiKdQhK7J5JkrxmQvNpi8CKdueLYom0ksZjTyVFBBf96K5tQ8P/qWYevjxUaSwEMr2yJIY9rGiumh9EjasTkQ5k87q6RHklAQI6ClMFiOlf75aNIEnp5FgBytkxUdptBhFbbymiNp7OyCTmsr0gxQ9zjkzCZddnO3zHIfJHjI/+CACx5HIyX6sTELS0Vhzqk0mz6ahZxGocWfQ2IZT2Yd9b8bXeqrff6q3e5syxk3bGijrs8468LKQ5rlXfylLAcpcQeY6Gsg+9sQhdHZNbEjueu6JBF9u+xTBl5qdO3H073+nwWYFJZnNsBXTTNTRn45QdjFii6RZK71SsmjCnpcKy1XngbEl0L6+mX2gOyga2BsMU5eMGwSrL/wamqzRJ7VW1usNOOeszZRYTA90aSHoYnGALjLuiDxVKvIyxqo4Bsp4a5fX8nccPM1nX4X17KPQVKmYoAoDbyoSEQFBSgm8dAt1wKOpOewU8XvVHn5UFdXdZL/4BmcDGSmtjohGQFo+AjkG3XLbmVANmfAJ2UZD9HYboG9IPxf5wqqwCR2Px59MiZE//y09WfOevTD2UtpFxoGwDZw4Rci8IvSaA93iiqfyvgkLLyBjHkYyChRplEgjPLGP2RiXPIEX8dGLYmrNosBqqPq6pnQvpnI+sk0Qgf4MehZ16lLx3CuU71j6Ebr/FWW+5tp01n5GPfO5Y78YySLU3AsvgEbk1fTREQNliepWfFs+5Wa19SIgrJlgSyJiFyRyLqRSgHJ/f4+xjMlkGPoOTW3HzNAbyc55jMXAzWVd6KUcXUAXOgoxfYhzKb4X4s8nstgwzv/mNfQhkSljMte7/Zos5GXazYR3mfehTdXhFh3f3MrQAEaMS8FB1URPq4MxSlEuNlqtACndBLwraFjf4Rhv5XUpkiQjzgulyXv0g4tTkJOsd8ib7HO2fkqjnEDMseeeocRsH597u/mw05zY7oEj/Bl/hF1+Ezr9yRSnj5owbBTllfxOmDvCslEYemNgjnMerLBdtpCVS3831yZsF/9zr0W7SlKuJm8yt25iwl0HAd7+CXwQXfd05iJ6afF7pBg6G+/SaeDF+z6N1H1GwMuc08DL5G/N6S1m/Qr8uwEvzguo8zfTA2QnVGXb0VteASM79IkSobVMUZBqgy/Wi+wzNDEeuoxcmCIYE51/JnrJPpGJlbM5K2nCmMgfqUVi0yHYWgjAuJiE2GU0Yro28W2Wyq2kNDisid02Fg28NacQfbnLyLhhNYpVkdqG/gmlTWoybIpY6dewsjdeU9NPIuYIDdMq7RIHQx+16qQye1b35HdpcYEw+gfTcHcI8epG+LXSxJQTNWfzY7U5KC+Gxm4BSL/pTLJiPKUkfjBspeHje42cfMRzwHM/KitnBRXZl6Oiw/t4tby+y3s2kqExZpwqjCXRQ4csXYvWlNVT1ipP92WbjUFZJrg//Okv8ZULMkf9RiY6jnJGRb+wpRGNPTOguXDH82kgfe3aZETRWNa5wPOiYYuZLiezRtK1PVsIfy4moF4ePJz4LqSEJqmgYLqXkayyYTz6dDENdN0nWa47imDa1/dI93/ihWNoYOSlZ9OPdGN98FEMN9V7VWGFcnyCJqK+4qVlP/mMFI4I11LK1A8DWQG7DcmKpl6arNEWLYpXqmDS7vr+QqSmcALt0sSbwvjII1BxgThes1Lbr/nmN6clDbIMMznN74/8jPtiwmb+KhlYZFr9H2ivvHEMO/Y248P3/oQjlXx2/H3HHE96qjYDCjOP4NwLv4urvpiFRUVx4wJTTc0GPPYXVsa52J5qS2DyxTdvLERCwgyPb6pf5Nju+HvvofyNFzg2HIJVnsUaJhZxMa8Y0ZpDmFTEogDjY9ty0jCSmYyRK89G6M4yWLZTBiNxLPLsDjIdpdVewZbmHxaFgXXXocs0/eqzfD5c34P1wnRR8R2bYuvZl432F6ooATUhfDR1SIU6emcJyOppweLPMan3zKuw+PxluGB9mrLoMxHgaCaTQXw6DPTCsYrPyjiDdwcH0+MiGfVxfJlku8S7sF2cm8j1OXaik+ybicE4dXAQzeIzkJsehGFJMeIxSN+peIkQeOknwy5Aq4UueQ5ZtUxxqq9DR0Wl15Gow/UYSSuAsXt8X57JLq8SpRufhMC8pTCQlWOiLMeZVjNb45J4vMj9iW47DE1DMcxtLLIQFijMiRiVpk52nBP9XhMRgYwLL0QqjYZbWgfwyJOHyEazD/5Rw83w30XpMNk+zibgQJSxEdFM/gsM1pEhIub+AWTB9CKcEd2BvPafZgugYWwMCw6x/O7wbMqDgv5JeZxxwkOwWTOhGnGXmpZywnMvo9v30aevh8wM+eN8ZwV0iaK8TAAYaUvI2rsiSYcLzkwbBZRNIyZst+yGUWNn3VhZjTlU0q7M15wtqDgVnVUqzM0MwtFK+3b9vJ7Hmfw3QAP6mCgNCxARbsW4cM4777qMHn2h3izPys2bUfbiiz7fQ+ccMZf+Q1k0kpYmP5N32UjgRmK9BYgRlrZEZA8qbBoWGfi3RMqbeNzmQ5vRummj8kxLupX8Le90UPY89C38osJIsQM3YwCO8/973gDxTWzp7Ecrffp8pYR6bi9z8jWLo8heD8DWt097vJyKd2qk4TMCXpJPAy+n4n6e3uckV+DfEXgJIAgQ03IA/if2Y6izDer+dpi7aIJpGksu8ep8RyVH9LBUTFXtL2wgTfPUaTnotuqgV9MEkdV3QeFV85dhMHM5+qwaiKv68RM9o5+Rz4kpb76tDomNB8iAYRWTE8TJfF3kcyJDimCM7WTsFD9KaWxZ8xUAZndjAGUZ3ubCrucoCQn5nED5SqMRuVRC1QfoL7ZHlUoTAEpSBpz+OKMDOo0eq9I2IKdvPzQdtYjsrWF1tovsnAEes33gVydEIjBeFq426OZEIvnaxbAG2JMJpA03BaKRvg/Dg0ZWBnX0YUjjABmgDKpDpFN3pa/CQUvmqN+O63nkBbUhopRsF8cEzQm6BIWy0nvOjTCcIraLHMNsTnDXLYnCVedlTCgB+/BgM97d3w4WxabdZDLxBU4mziOI4DSUtXLR8Ml996HPR1qRACyDXEhIdLprE8+CsNxc9NGPwrPpKUU6g6lp02W9/HPjCfxrE1MmJmDvfP+meUyjicG23Q149d3qUUmdLAxiDcfgf3QrQgOHIFI6XzK6sopOdJBy7KtJhH3BynwUWwsZT6pntXEQlZR4iAlrcjLTkxjt7Xz/cjLCcPstRW6JXCIx8nv9dSU21lezMUI24Gc/g5p0+Ok0o/ll9jfb3D5iG2b1fYQR0ip7ZfL/QnuLzJf//NXPsf/4vJMCXtYuKseLLzyKmGgapk4QASzXrLmlD4/9tRgtLRP3k67XVwzKb72pEHNSIk7ZZReWk5jAn6juQcXbr8Gw/znKjNqgYzqJn9GxUGc63IA1SPFkMMxJRE9kCALnZcHv/JXQv7qV6V3VBMEDMdwSTJNM94mmf3YhOvM2TCpJ9TzBCDIVzzrzYy4svY23PbeVdzKQzFJrWR6Mb9XRU4rJYgRdpMl7VE/QRSKrPVsAmS7dq6+EJi0Ld3yLC2lKbtz6Hg4IPWSWCQDTevAgBhhZ7Gp2K9fuMFdf/Z5oDncSzM8ukELHOM+FMONKj3fAQJnhRE1jNSLE2IRw+q2EJiaSDRMBDWVf/b1GGFhR91tHE9HqFsVjzrBrMyVj3n1O6MLlCnNzZEKa69QfMQ19YQKyF8CSwOQnsmA2v/XgSRuCSkHg/NVfRFjDfsqG62F2SQpMjNEiI9nujTWTJobs6Rs2II1R20E0y5XAAzFCr2Z0smtL7iuGcffHyo/UPEeNisAZ5xWm6goF+LcxvEAVHIwQ3gNdUpKSvDfTY5rqecixh3Oci6dPTzzBdC2P3zmHMprfoPxuy+i8Z7x9jgytoB/uVW7P9zaywW7f04SaHoIOLsbuwZTEx8ZQGu5gcOkpxXsgLRiLdVq3Z7l2uIGSo1JFctRIEKe6nr42Lq++v5n7OZbF/o7ytAH7QCtzui6mnR1rsbixXVyPeyUTf6490y7VdLZu+vvspoG8p9G+6+fERHjxLbdMey4g+zDwvf7kd7/z8g4aIjNm7i3fQWBsihJ+IMCSADjCJpP3V0kEFaYZgRaZp4qnzSDnj2aCO/1kVR4js62BsmOnga5yfQS8sf9lb45/iK/TOs6Xtr7zMIp7Ts7H7zTjxceb0DyzvmOq7+m42yWcBl5O+hqe3sH0r8C/G/ASxgpJePV2DNTXY9hBpVB8QYaNsLbWk/4s+m7fKz4BRgL5R34tHbk6Jh7mmDSmngwoFOEIxvsFUxfrNMkPDOFkZP4q7OlPQEOHbxpLsM4f80fqkNbK6MSGRlgn8H+RanskK/EyiZ1qk5i9IVKRjwTloNTASc04EgvZ35ykEKQkhnhNRpPbqa3d4a2tlQGu10VypAkNQXPexagajIB2yIBLQAr6oa1KOoU/J9s6rZGUdP6dH0cflDEai74wGXGX5FIbzWQCmwotzzegv2asijpsDSD4kk6WjQbd/uEoTfkCuvq9O0zxXVnavREDjphguV8R1CjL5Dp4+To0Jy6fkNU01Ws63nazCbzId1xyZhwuXJPqNXkUau8LW2pwoIaxry6sqqkevz4oAF89KwH5qTSP9Fh41O3Zg5K//c1LDy9MqhBOMH3JimSCO0R9v8UR/el6HPNvuAFpK1ZM9dBYae7AY8+WTrgQ3LA2EV+6IEs5dqkEPvzkAZQyXlrLaOzYll0YKDs8+m4vYHJNaKg3UCnVtSNlBFslttaliZ+DJp9+DJmL0dku8Z/ilUB6crcRtfVGLFwY5xUrfMv1eVhYGK8czxBTPSwiMWJVfrw2/I1vQLds2bQWBUPDZBX53cdJvftixGa+HFr1mdPa15Rvxme0ocTtXn7Fjdi4YwghoTNLxzL2NeNL5+nw9JOPKvdF/ky2CGulvO0JMq3qJgGpXS9LuF6FW75RiMwMO83/ZJsCtJBNKHKXhmYaSBNwEYNnobmL58N88/tQ1b0KdecQNE3sL8k4ABdL5uFQyELExqSc1rlpsPBnmiWFUBfOhfql92Gu5MJjwPfk1u+sy9FMr4mJGJ+u5xURQTbZmSIvco8zd25jlw4JI0bN6jiT/8jOHDw0Fy0vVcGPi2O31DqCSiXHutyKErKfAKb09Ky5Eq3qeKaULZgU3JLrJmbErSUlisGrSJEaKY2s4gLV19Q6n2yXSA8gx/PeyWKutHx8nzQlwbC7milGlMKQDRAgMmGw4KEj0BedCP+85WjKOFvxKIve83cM1VYg0NgFG9MOZb4gTRMTi2ECJCbKj2a7BfIaalLS6INWTJmJFbrgmQGEA8ZuzIkZwIbYjHGPc15GKOcmdk+tqTYZUxI4NmRSVhRKEFreUelrn3yuGHsO2qPUXVswCSwpte/SK68SQ23NnEIYoAvgs0/GpfjnOJuOxR8twe0IYb3wfZjtJscdTJBNfHtiyegMi48fl7nYN/hXqLXFkx7CiOVSetOtHR2PN31Sg98easWhWKYKOoYoeXsFeIlxAC/iMVdIdmYomW7ftg4hl7Iz13drr/kA6v1acKiszY3t4jyYOUPxqP6Q+6fkx9nI10IvCw8RE4DV39qQhIK0cOWcJWBh9x//qMSGj9eEybTypz+lZ1P4pNfB1waH6c9WJ35pHk0MqxfdeOOkrFFXVrbz3/K3ke/3Yy8dQwX7+0GCMSKHEnaQwqpxRn3zbwnUECBHw8CM/oqnsavtjJPy8TsNvPi4y62fEfAS5z46bNt9GL996O9o7+zBAhYv/vvn30R0pN7tgF9/dxt+ff8zbj8bYn++/c1HOObNno3BaXPdGXUX/zs+9O8CvATazIht2gtUHcZA9ziLIhoW2jpbENDPRY6PypQANBr6qqhZXQDTDlqMakWi5GwyEUtiUpBTKiSdu/isWPU0FMtdjUprvE9HdWG/yCCaM1SHuAb6N4gEybPcz31HciKroXncTJqNE9Dm0DmojVuAmuHIcQEYkVlEMqXJOYDH9x2HZctbdr26j2bgxFk8GWTBalhwEUoHqcNnk/M5x7ARcR3FMDVxgs6L50c9vT5Fi6BUoX6764dizspFxOoE9B0cQPO/yKxxRKY6v1IW2M1tCajLvRl7Gn0bmuZrm6Av3cjkKovCHnKCLuowmkmeTbaLbXoTw+le59kGXuR5u+XSNCwSoMrROgyDeOqDGlS2Shz59FtWvBZfX5eMmAjf11AWvTseeAC9PmRFwampMPeQueXpW8ID1TMSs5eLHs+m46R0tbA7pkD7FvmaREc3tY4v+ZiTFIwf3FxIL9Exhkd5VRdeeOIDjBz8CAPNLW6HEMa4zIK5UT4r2w1NlOExntNJ49Zwwo4F56DaEoOSkg6sXxqDfpoJSjNy8dRPCVQsI1Q9F/DiL/Dz7y+m9l6NgYcfpnzRbp7pqw1LuslNN03KwPD8rHHwHVLn33f7sc1KZoPtLlYfZ2+wn/4TNXufkMVzO2Vgm7Y34J7f/RKH64q4Anef9Ez526y9KEw5hA2X3E7TzUjMzQpDVno4mRba0SQRX/vqZRT7k88exrFy38kkvj4j0s+bb5iPubmxUz68sX6NsrQBC2Ode1BT36tUppta7El7MuH39OsIZALZ6sBnYTiyHaE0xPQbtI9lVpsagw7WS39yArq4cBIGjHb9SkT1xaPzjS2wemo2HQfhpwmCecM30DE4uTQjkqDLOg/QxQm0SNFBmJOhLECEBttTh2Qx3bo1HW0vc2FG0MW1ySLnCNP3xLzatQno0r36CjQFJOBLG1Jw/vqMSUEz18+bCbhU01D1X4eKldQ1MxeHwuZztghe1LwJ2C6u+5I4++OVTFbyYAoJCzTI0kUAoFHxfZPFmnjTyM9lrAuQBX96AUZYjY9MiEBfZRVZImaOTYNQDQ9APdiDkf5eBC1Yhg6yrWazCZYuRQjxgdMzleW1oweQxb45dIZfIkdXnDkXiyLmjrsH8c4rImNW5keTNl6fCPqGZTMeO4pMSleW7Zv/Ksf7m8l2dDCKSR6GzsbExH56udQz/plefH4NZQgg0BBB+bBca4nvVpiYLi9LGBkvoSwIBDM1ajLAddLjlQ34PTKWCbNFwJZwGv86E4km+rxtpA/Gocdp+ju5B9KI+Zuc3+Uri//bfrUFW/Z1QXfRHFTGhjJCW1hjTPvi/C+U91VHsGVuWghiIu3juMBL37dakEa5k7MNjpjxUv0HONLS6tWP6AiuSP8SsH8OumoY0OBgW8l3rF6XhF3VxtGwCM/z01G6ffcVaXy+GIRA8/hayiDHbbxuS8l6jSMrdiatT9gu99zjxXYRptHyO+5AdHr6THY7+pke+kr9z0tlCvNlIom/E7DZ+d4fUWJYdRp4Oamr7uPDHZ8R8BI9Nos29A/g/C//GPf98ltYWpSHB//8Mtccnbj/V9+e8Gx3HSjF4397C0898NNZvSqngZdZvZyfr539OwAvYb3VCK/ZBSNpyeNNPp13RapcUr3XM6GHLnijlXPn74NT5kCTmokuGnQJqOKUHDl/H8GFnlQlBKdwghLOTluVko3O1OWop3xBtKzSRDokrNHBQXsHECoSJNQhvo4SJAIwwhZRfs7JffA4vi5TfaJEOyuGYqbkHNQnLED1UKRXJUQmjkXzIpWFbTSjAbHtFUp+xteyCD21h6wXc8E52GfJGD2UlCAj8speQyCNdmODSAem4aAfT9RGwEofzUqVTipa7hPupC+uQtuHZUyVcvd8kYWxxEWHLZuLhpgl2LJzKZra3I9JpyXbpeNdGOtqlQlwBE1SAxxsjuCVZ6MpdulJmUhO5RrPNvCiPB+c0P7o+lykJupRVteL57Y0oN0BBkzlmFy3WZsXhqvWMHpzkkpvI2n7xU895Ubbl/2IrCicGvbeI0e8vlrHZB5Z3EhykGfLu/ZaZNBgcqIJsLwjz7xYgp0HvCudzv0J0etn3y1CStJY5Uy+89i//oWP/voqmuoZWe6DrJabGUbNus7r++U7j5R10MBwGMHZeTBkroNhWIMT9Hdo4eI3hSkO89LDSH238pr5IYlV3fomMd30vvKXnJ+KtSNVCORE1G8ckNLGyl8A055EjjCdZqWJ5KDtXrLt7AkezmY1nwut6qJpgzjT+e5PY1sBXBrps/IhjXX3FncofefOjx/FkfqTB15WrLtt9BQEDM6gMfLcTD1BGD3/bWd8ebK+BgiEPP23wygu8Y4xH+96yMJTZEfzXEBSX9vKMzdItlUVY4ur+T5LfHE9wT9hrk2WZOfcX35WJRLrX8XA3qNQ8fN+NNaVXLdBsl5kvTrC97s1j95LZAMEDDClLOMS6CmHMTAhabzmPycL3Qu/REB+fDg3KqJHkRcFkOkifmTiDaZn/HxYiEZhtqhZEZZ33PU9b92SgdaXaArsQ3ZXy1SyOp67a7ODLlcSdIlHOuO7fUmMpvJMvkUPmfcZ36trb0XowUMIPHQQQ/RhsZhMKOADFkIm6FRba5uRgJhh1ENCkmasBJE0HZWjklb7vrgw5qJUrk1gUjoGAvVQ0RtN1XQcfgRiAqOYyESWrIkMTjPli0ESg5yUhqETRwho9yoFg5k2GeqkgBNNGbJ45wTRk855L56gOXMW++yTAV5OEGxYEZOL7gnMzmMi1MhJZcjABLK+MCbdiXFuPPfnOQ59sqsOL715Qnn/tUz+CTXUwK+xHFaCW2YuipwtTDUIvalZSQZSGu/HIFkv1JSMbuPPd0BP4CWSEpdAF1nMdK+vlmB8vIPZEsFjl2OeLpAzbG2A2fYXHseYnNp336BhOt338Pw/e/HoCxUsaDHRiHPM+K/NRRkT+nS8p9LEeLogNxyZNHh3PZYw9i0/pHw7lu+QNBPnsve/uRXmzCayZtyfrQimIHUbrJSBqxCwOw1dXfaBc+XiGFx3WS4ef68aR2oHuDffbQFBn0uS+1H8+OMTRnNnffGLyOH9nkzq6ft6jODQ88+jkeb4nk2YUgu/9rUZ7ddzX21dg/jzK2WMmrZM6q84G3O804wXH3e76zMCXiLHxrv3Pt6D1/61FX/+/R3KAfaxz1l72few65+Pcmzz7X8pa5Mrb/klfvuzm+mJNHGc+XT7ntPAy3Sv2P+i7f8vAy8qK6UHjbtgqz4Kk4cb+kS3qLvHxMmxFaH+gwgd7laowdBooUrPQ6eRE06yNYJY2TFwgm70cEZ3sl6UWEei6Z6xteL/MpKxAM0xRWgZ0FC2EMDtvNkkekqQCDMgrn4/1F3NCGflaroDvq9zdIJB/uLSnpKDurhCVJMB40o3lcrl2nQLdLtfc5vwjHfNAgrPwLs9OaPRpMLUWOPHxfmhT5SPROmGEAYDUzlooEa6skysIvXd9Kpp49TJPiHwp0eFrYd//ChH0klnOKY7tlBaE6gPQ9Q18zAU2Ie2jnjs2HUeKutIdXXonwuCGhB85AN+jJIvyovEZE+aNiwYxnNuUbx2TnWbjUHZV2xndLiaCHwkkw4MTLWZPs9FAIsrVkTjLIccZrLrIIvD7aQP9/hgbki0tI20bl+yIj0n075AGWGSrGFsspb6+/HaY1e/jgAAIABJREFUlh11ePmdakVOMV679kvpOPOMMd1+H8G8IzT06+JxmgbMOFza6TN6WsPqr8RESzKBZ+tnKlJN5GI0BM1VvlsW3cXFbaNJYGsWi4cKjYKLeP3OTsdfnj3C9BXv9zU5oA+3GT5AiIuJtNt38aWwMeUpiAuB6bYB8yb4q9/i+z82DR4hw8F/+KecEEzPJ2a6330qt5fnTGLYN26upVdP62hkp3znqQBeXM9FAOYwpnnNy42gD1AYsjMiSRO2yxKlnxVw5ImnD+HI0YkXS677FGNvYb7Mn2dn/UlTjFbZ71XW9FA61Me/e1FVx7hgEv5cI3+nc52DQobxpStfQcsLpbC+zdSXfjtjYsiqhcXGxRv/Z0yMQy/TdyzNwsAcQdiaC6CtPIj+JndGmNv3rrwQ7eH5Xt5Zso6Oj6W8aO1WmpS3K9KhUI5HUmDwBFpc99f6MUGXV0/Az0ecei+Ze0fLu90Mrv20jKtdfRma/cV3yg8/vrUAafQAm25r4ff9gUCW0SWtKID3IZjpawWHDyHmWBmsZEhMlnhjT1ih9IImWjVMkGlqNynSRGEHJNjaMNTtnrIjxynXIzgqAkOxmQoIFtzfQsBn7JrL71Ucy9TxyQhYS1aPPh8jJvrEtJZB20p2KQGEQcqdJ20cY6VfDxWWERlGEZRTivGqrwXubAAvlYWFuLpwEQ5X9IxKqX0dY/acYMRHe/fzQTGMAr/4YiQTxPAF/Jceb2OCURn8OuqhbmcaUW2ZMvcY8WD+Boi8Jj+K3nytjEuvHT0EibL2jLNW0WsnhnKjEMqCpjN3UtGnRWREMTznaKb2CbNlJsCB6/UxDxdThvY8QcuJPaS6evT4zR9X4uM9dsNbMZrvJxUjnkbyTfSpk/mkBDSs4HgUFRnsdV6JrDx8V5jFBPre/7gKb26sQ+yabibzkanqmFMJ28UiBrUOnErdFAnT4Shl7Pz5txcgMUGP9l4zHnqrAm19vqGXkJEBFJW8BP1w37jXRpINl9x6q5sfzKTPtcsG3bQD2HX//bB6pClKOMMZLGBEknU0W01Sjv5KY/fa5omTIWdjjncaePFx13o+I+AlfGy++fjf3qahei/uuv260QMU4OXZh+5CavIY69z16N947xOGAZTg3rtvna1HcXQ/p4GXWb+kn58d3n777XiluB06TtJm0gY4+cjlROzKr/1UYRQo/moOgyrn/pQqtMt75WSEyiNvNEmsHL1C+sekJ8qr4DS5cqGPun7O6YDFNZHSPCnZ4b1VCKt2sFwceuqpnp/oO7tpiCsTVn+eUFRGEjRhoWgto7aYVSmZtEdFBymUUDluT4piGNkpAjIMevhHuH6/hnIlASzK/HPQ3j9+9S0mUoWzY7oQXr6TDJgWnylCUz0v53bC1BG3eGmBEtWZnI362EJUDkcpTJx4VR8WtH/IWGjDpBMWHWMw23LPRzmp8s30IhAEOFpnxeKKl2HqHFu0JIUzcYDpDT0uPgM6MmHioli58if1WhuHrv3llDQRpMljNKDKDloJ6CL7jL98FYYTxyRiA6zkbt3+BSbPsI7H1I7Fbf+CmQwhO+gy5oETvPo8NEUvOuVsF7mWszEo+wJeeoYtaOJiP2sOJ+w+wIOJ7r8+yB83MFo5L3V6LIs2LlL2P/qoz8VJOCekPT6q5xIDapV7RnqwZ8u54gpkn3OOz+dJzP8eZKSvLwDSuZ+CueH41tcKRmnpNTt2oPytt2DpHnvGahsMii+GL6+KtJQQJMUHu00SQymdmk82zofFg2RRtSoLqurqLjQ0jC18REayjpKjG29YgBya+b7wWim272lxA3jU9C/acOIdJHU3YG52hM+JqJXGkZqrrppUj+553YY5O7aM3EvDbvcFs9VyBrSBV5/0gmC6fcdsbC+LWRONzD+heeSH25hcxhhTz3aqgRfP79Oo/ZCWHEJJEtkw9C/I4B8B4v76zPTAF2EwXv/lHGjZv9c2UspG6ZCwOsSXSfY3G/6pSWd3M9K8BHP896PjPgIA27hgZb+psF6GwrjA4+BJw9222PksDoyNLfGr1mDwyAFYDOMs7APJ1LzwRrRbgpWqegTZLAoolTmItPR/MsK2fUKgxfWatnyYjvY3mODjA3SRcfNwKWOXB8buewBjmrvWXI1mP7tcayYSI/s8YAR/o0x4F8/FswXzuvyci88QbtPM/quVqWMdjmhqMWZ1ft4+rlvICLCgi39kQSr3TWRHAryE+pug66nzGf0s6UIWgi7i76ZjhHBAMxkcPuYfgZGxsESlIDBUj4D0eTCzIDEYSnPe1nKEdp3AcEONAsC4flbmVsLailQkRCpFRuRkGU30Xs4W8HIjWQbNbf040UjwYBx8XKQqC3L0iuxSmj8BAAFc0sl4VFFu6gmAiLS18vAJvPXM++g7eghD9Anzdb2c55dHpkc0AQe5z+309DFJmpTcd+7H7EiWcr0WIZQHxZ1xxqSsF5GuxBUVIY5Sopi8PKgYmuAraOBk+j+ThVLRgA/gH+Cb2WSh8Wvx8U7sPRSDN98/B21d9jmazEWjU2nIflUOmvlcJ4SrKOljfPY4EtpcDoBfN1vw+8eK6VXBZ1BnQ+J5behx+IOJL1VPr3ufG3R4DnIjE3HtpXNHx5TtRzvwyk6yZTwOV0X/qNh9r8FUXooiMl90TPjzvK9qglcrCI6EEXCbadv/zDNo5jjv2ZJWrcKC666b9bFPZEd/eeUYqpo4jx3n+Z6NOd5p4MXHE9H3GQEvoWM3+sG/kN3PfuSOW68ePcBzr7kDD/2/7yIvO9XnY3zZjXfjNz+5kcEkaTN9zMf93GngZdYv6ednh8J4GblTi9AZxmL2kSLefU8Lnrz/idGTkk7Yl6GVcwNfEcTO30mEnBhaKq7krFqJgauNyI3nPmV7iVO2cpBxbit/m2l017X9I3Qd4gSTVRD35v5yy3HIIk0W+Er0HP+j/Js/M1A+0y9JEAXrUBeYqhjkzbFUQFt3CH2tnQpTRSp/PQReTA5zMucrLMk7YrQrMXjKpGD0P2P/VpGaLm7rgeGR9H9ZiRNg5KTRvbcXCVLh3AjFlyBI44fEzmMIKtlJ6q1odqfPfHBeCwVYYiKRq0xKjPgsyZloi6MUqGEfeusaFPq4k7Ls64kNSstA18JLSaNVKRF/Rx0pECvUVdAcoOeGywrYPyYBcTmJsNRXuUmXVDTZnTOHJrE00zU5Fux+pNSG5sZzEcFFNMGv0Hlp0J0Ty3ttrwK5tq3bz8NIJWNID3zICjZjJV2qnNqIcPSv/wbv4+wb7Pm6HrMxKLsCL35cM9V0m1DXZZ8khfP88jL0U4qZlu3TotX4xrlzEDeOn8tEvZA8X/uefBKtNNv1bNpYuRd87xyTXtffh5P1ojBlPKQFGhrrrfrFL6DjhMy1iYTsISZYVFBTPl4Tk86fshIXER4MC6tfpZTzNHJC5mqoKJ+VZ7C4jLGZTjdClx1K1X5RQRSfZzLH+IykrFuHXC4INNTEi7fM/Y9LikY/Dh5sHWW7OD9+7pp43PdfZymVOzGTfuB/9nIBMpZOstJwCEn7SIfme5VPBoWrR5Lsw0ZAKvDOO6Gi4eN026B5F0ZUL3GSOTZRttko6Rj6PmUNvicD0/2OT3N7Ybjs3t+Mj3e0oLPHd6qUHM+nDby4XgNZ3Iax/87LCkc6K/ilJW04UtrDccm7z5W0C+nLRcYpVeTeviG0s29NTgolO4QV6tlAWlwOLmZJP2xpjPH1H8LZiVsw1N4Lw88bMVhermxlYbqexUY5BCUEhtB4tIeQoeY4hhF2KBnLitC+75CXZ5fIY0TWGJ2fjZxbbqOcL4LnEMaxq4neMX+DSj0BU8bjAWreyHHkzXIysnwnAlXXCftnrPLvpwtGzyoyXRygSyYXmT/8ZtGkkkhfz20FqUR/EvN7H3KXSynJOpuFBlf2wiCZL01MRWo4dBi1B0rQ2WbgYpVm+dyH5xArcwMDmToRfbWUI4/jyxJBP50Asusod00eacGwwV0eKMcshve25LkEVMfAIfFIU8fEwT+zEAPRTKQaMiGo8SgCKFOysc8LVdsUz5YILriVfUyS0uV6bWYTeJFxoaLOoETxjtf04quVG40kAh7ZjIcOjox0O17FQJqS1JbiYjTtO4g9Hx5AF72dJmvplAkmJYylJw0TLGujhGrIwYgYoqG5wo7wuHGxZK+E0wvEi/XCaxhNkEVMWmPJztCQkTkV35bJjnOi3xvNf6f/z34eizdr8jhZcZVkw/WTLV1ZU4T3Pl6ieAIOE7gLIZsJsTqEf4WFOqu9sLRwYQxCQnz7MoVXtMHySgX6jHbGSlgmn6dFHfDT2FOSPF/NwGEVvsU0ytQkd5+qJ96rxMEaeui4EF+S6ZXYv/ldZb8hkgDI99WTxbTou99FIq/pTJvCdmFSkpXSQNcmbBcx6o2gd8+paF1k+vz5lVLUMNnJ1xR7NuZ4p4EXH3eOSoLPpAWPjel//vvbaOba7pc/+vrooZxx8W144bFf+mS8HC6txJ2/eRzv/ePeU3Lop4GXU3JZPx87nQ3gpfb3FfjzPY8h5jOmvbdywXf0VWrfmSwi6MlMwAnnZ6TyUaGehwNHB0eLO9I1BPkboe8swWBFCdITVUzXGUYjmR52RiyjKxmFKGySCFakxHfEiT24diuijZfvIT5jR2L4S20SB5K8lejRzVGYMjLJWzg/ktXXSIWOLbpyAUoUrXz5AQzt2qb4acjg4ASN7EcwTnPKoR3AksTudXGBIPuWfcivZUKoDzahp70TfUHR1AWTUk7wRcWfS7XNdSDSxCfAuPIaGCnhcX5nd/cgJ9QGLKt6lYa6TW4H0rfkIlT7J+NC1W4Y6YDvNOv1IzslkhUZ64mdHLxlMif3jZeE1TzNnCj4Bfkh9vrFsHj4Wzh37k96ff3TZvQxMluivF1b8NqL0Bhe8Km9aLMxKDuBFzPr1tWMO26nDtu1TUVHL9uvmRuGy1YmKdWomTaJiVQmPx5UX9mfArCwWuxJL1HLJJvVwsHmZq+v9aX3fuNdmiluYZz6BAvU276aiwXzE9DJ56aE0qK+mppxT6m5tR/VlAVwjeXV4ml8nV9kZ7kkUvLjOhHftrseDz52EGXHPExV+Ujl50Xi9/+xAump9uSaTVtr8fbGKkWDnzrchhX734DNwSLQciK6sCB6bCIqyUsEt4NoJjndZiOTyzT8AJM53I0ZbUPzoPa/adYrstM9vulsLwyXHfsa8eHWJnT1uhtr+9rPZwm8uB6PrG/Fz9xCpuMQwZVgAndyj/uNFiUJwzBAoKVzUGFtCgDvNAWVPj2LbJH4+JnH7Hpel9B0+oIsboNpxH79lkRWIyFsP1SbmQT36HGYmxvZdwZg0KQnM5MHzoNvSZnLqOkx1osY3s6ZSzZKWZXdo4XjVKj8CaZUhbIVeSfSLr0UaecR0PZrorTxWag1rVO+1Y3vEYz/5wmfTBfZibBGSkVi5Hjf/Qm6dBF0aXGALgJ63XkbU4ySp5+AImDwQ2S7VKi8gfYo/u6nvCTBDq2+LP4NZLWUVXWjpLIHpVV9CDD1QtfJokFnDYZa6CtipMeFB51VY+pg+iDZLj58nPzJ6DDomfzD26MPMCG4t54AGU/aI2Y5MDYJJl3MuCxMDe9FCD2n0s5YiozCHIQPNKGNIIUkxygL0WkWXWYTeJF7aKb8pZj30OwDiPTjM6dNy8SSKy/GBZeuGu2jZL4jYEsrmUYClvRWVytsymMVneiYAMRxPngJ8Tp6Mum9ACcBztppHGzjvGhEPMbE68WD8ij3ZQ7ZlhLzLfcihMa7ScuXI5ZjQDBlsKcabHF9eUaYvGc0/5Xsn+Nu71QTfYQqG/opo+Zc0mEsvO/Q2di2N42SIi36CfjHsfASVxCJ0qJ49NhYiEsMRjoNwz1BOCn8HSxpR05FF2KOd7Gfss/QktZ1Q5XWj06Dd/8bH6vFWcn5WOg/xiqVz/SxfxPJkbP4E8VUUL+NzzEWfcwAf060FimStOQAA1N5rfMvu2zG45M8K8J2aaE3kWc7VWwX1+9p4T3462tlqGvzvk6zMcc7Dbz4GE4GPyPgRTu2Ytq4ZR+ee+0DPPPHnykHKMlG5197p+Lx4kum/ujTb9AYfxA/vu2aKY+P09nwNPAynav1v2zb2QBeau4rxw/u+RFW+y+fcWd7MpdNquDH330XDdu2eSHk091vIKvSeZQEiBa5o2MAf3xoD+Oivamh4dZWxBkOY07oAIpLWxXNvhjz9pEBI6CJSJSSojVe1XORKelogtfX713xCCDdVZOZC1PWSmTPT8cNV+ePMn08qzXC5mll1b/j449hdcT4ThdoqmeqSyt16zJPkW4vkBKhnjIupiWYQRaM4VEYiYxDCmUqUtEQRpB0U4FhpON//Raydch8cEbvcR/COCj9cCvaXnuJi5SxaxbA7bvX3YBuyozmJfkjseZDGKpqlOukYUZkz8G9TJEyUcJlJkOe9Goxi+R3qWNCkH7r+bBlMAGCiVPS5DNukrPjavRuJRBmCmY1MoWUfh43DzIoOgpGsl0GhnjczodAAakIXrkwslxlbZ4Suek+O7MxKBeE7kDeebehqt3MCZpvGC0lLohmuyE+ZTsqrrGuWhmLNfPjJpWJTeX8Dr3wAhr4jHk20ezbyBwxU/7m2SThqI+pSE76vvP3KlYUV919N0Ic5rJl5YyO/tvR0Ymhr+NZtzIeV1ycheqtW3GC0iLPCpivzxwh66XHhwmkLrcA19z9DeTM805JMRhMuPVHG3GoxD3xLITMhwWFsZSgROD2G+eP6tXve2Q3Gmu6sOHYWwisG4s+l+NJmyOVWXssu5UVXy3TO6ZToXaek9nCBUXg0/ysa/9Dr5jBm8ncmXk1cSr3fba2EanUjr12SVFrx/hVcs/v+1wBL2SCDJGZ1cy46Q4aMZoIWsu6W9h4IxLhLEzJcVwo01gNTk5yN8GcybVVhw8j+qx29AWMMUXCKcc8K5H9v58BYY/4oeqDo7B0cEFsCqOvjACu9CyKiEU7I7mlJ1ELk0dkKpoRJOakQ93fM650aP6Pv4HgOR8R9Js606Xx7XR0vl/p09NFzlnGh8M0szY6JEZ20OVygi5jcoTLL0zFuWvTZtR37Rw000XDH8M+2CDXUYq1jDJN8Tg7SqDlaKUBZTV9iq+QJ44hStVgSzdCemvh31SB4fYWxW8kYIRpea0nyLobVMzePf3bRuLS0DGkU9JnYkz19BwxcNz053XnDh3gi4DS1qRcFl3G5LBybeSQxa9FmLJhLDqEipE+P6PW6xWvkRj2qWqyBkUa1bRrFyxMlxOgYSpttoEX+c5WsoIqyBB0vXbqpDnwL1iFntA0RX59x/U5SIrSoJnASAtTpjpZGJOYb+eHahTmk9GnIbrreUVFUlaT7c6acf29gWNQD9OrlGKWsF6YcuRrTFryne8gSdgvlJjOhm/LVK69r22stnYaYT/Bd8tenBAQ9wifyV7K2mT+6HpNt+64DOaRLATwXscHWNHFGPnBwmiU57EwRkr0ksVxTJJyL67Ui8SRII688yvK26Gp7FPY4ymp9ABa0oguuF8fefbEA02nU2ORuRDJandPnBL6Uj31US2ZV0aEbf47Bumt5tkKyUYK4zMbRkPj5T/8IaWWvlMTp3LNxmO7+Iu3yylku7geW0PrAJ6i50tDuzv4MhtzvNPAi4+nwPIZAS/qsTm2gCjnX/tj/PcvvomlC+binkf+QTmsSYmUrqprZgBAO9YsLxw9+Ft/8gd84bxVuOjsFVN5rKe9zWngZdqX7H/PB2YLeLnhDzchy5yOeZrxIwdPxVVpYfXk2Jtvot/BcjmZ74hhBST/yisR6qJL3by5Cq+9XsGJrPfMWiZoa9K6MVC+F8eP1KKNVQvXyr1MonRMenD9WTjd5HvE08BpTuPjgMMiQ3DBbVcg74INCJrAkFQ+Osho32a6vndxcTzig5kw2fUopTyos8cCbbgfestKFK20axNZhoaJNakFGVBRliGD31L6AsX6iAeUKuKu//49EeJdpLg6J4WM1lyyDm3xi5WJtz8npd/6gh4Nb7+sTJK6SJHvq7NX9JWqWB8nuARf/PyGoKOhVdoNRQiZp+PvvCPAGaqIztcaYe11mByOqDmJyyXoFYyMK65C0orVigxNvtcpR1OAF/kyhxeRwvVx0HnsXbD9vzJREU8G+ZxICER/Lf9fpHBS3RZWkpk/c93Ni0//FjtPEDwLmZmu2dzfgaTIfoQsuJUMp4mlZGJiGOeR1JPMVImvrktEanzYZLd9yr+XOMcd996LIYnr9Gh6Uon7qLOXaqNrCwwLg4qLBJPjvrr+Lo0JB/lMOpDJ5v2PH3ST7HjuP4EMle9ck4qqd95EO+UArtK1iU6gi/Ks4/Qcch6WSquBesW5XIDOZVJKKL5LA1SRDbm2Dz6owCuvn0BZrYGL6zGgI5fSodhYu0To61dmYfniRAVEOXqsHSfu/zOCd+/yrkDzoVhcGANtXjYCyXaR92a6TfFBGXqStPRit49ah1Np7v29GckwpnsMJ7O9AC479zUrgEtL+/jx4ON9x2cFvCgMF9IUhljVt5DiLwuhdnos9A/wnSejRRZHYpouTfp/kZQEkQEjaTbCJlEYiI6KtfPcUugdkzpn5uCLX4ANKed3oVvrHXG9KqYCkSEHEHw4AIEv9KJiXz3M3UyRM9klfSqawA/PZ/x6RCilsXaDdvljJPsgNjMTI+yDPZttpB/qhC4s/EkR1LrJJSDy+Ya3MtC9cXymi2xTVduDxhY7cOQfHIpOgi6tsLPIpOUwNez7NxfNqHhj4rj1exoit7i8105z3Eiyrc6r7MKRij4FLBCwZapNGDg6UztC++qhO/oRjBVM3euX4oCMCWOsWv8QPbp0Kcp4EeXfj4CuhtH+SnxYBIyRQScwkWlHakak8xDkWRO/FjHHlSQijY9UqNHj5MbimxFLs9iIrCwMc6yvZ+FlgMxCm3liQPNUAC92yVEvARgLVLHxCFi8HoawVI6PjDCnX5LO1IZEUx2ybbWUWxm8+u5WpkKeqGZSlMe74nlfhI01b26kz4qzc1s5ls7KShjlWognloP1EsB+VxcdDR3nc4H0msm76SbM49gzWarfVJ+Nk9luyFpBSeBTfAgMOHqiW0nW6xBfQcmNdmmBgTrU1N6Ci1bNx0v/OIp2FmSkGVYl4ATT/eKZIpVEWaMT2HeyXcSLSJr4sZ/FwqC13kjGUBBBTsrkizoxQBDR2RLjtErCm/QLGs6hVg+tQIja3SD51W21OP7c0+gt8U40lP1o2Gcuyo3Cmb/4OSJPUga07+mnfbJdEuntUnQKvF3Gu49VBK+efbucaUdj4Mtp4OVknvoJPuvBVj9F3+K9Wyb/uTaJhv71H54h26UbSwR8uesWmu6H4MU3N0EYMX+9/87RzcXf5c5vfxkrFuWfksM9Dbyckss6uzu990/PY+vuw4wU1DKH/DYkJ8TQ1K8Vd/3uCU4W+7GkaC7+4wdf9aokzSbw4k/64+JhuqKrE2b35HzszcTB/Pjb1OTt3TulKvhEByRVJZFBpNI8ztNQTQb1/3lsD5NOxo8WvebKOfjXU29i4Bj9X9rHNN3Cbklkxcc5mIr2WQAJG6/TeE0mYwVOXxd6Q+R86UtIYMVrssmCiRWwFrICerZvh5X/nmqTxI2y+i50HWdChlSjxmmheiYE5KZjMQ3TMtas8VnBb2dFq4SGrF3tBhzjZELO25/eMYMbbkHH4FiqUHZaGK5ePoKDzz6L+g+YRMQmDJeeXqZGcHHjR/O2YP0I4lanM2azHinXLIZ2DhOP6KTvbDKZDW0NQ/27B/hZd7BIF7sGq+6818tPZKrXxHU7VxaRTEwEXJLmxprhM7L7WAe+/6M7sRfrqRubfhKHstPBLmT0vgfN/Bsn0IyNHV1eegiiHf4tZ2SH4opViXz/Zz+9qYTAZg0jmz2bxCL7s7I1KKCnR9NTO29k6oQsEFybmBiu+fWv8fpHLdix3zsVxLmteGd8feUQendustPHp9nKSGHv7GbkaxIXQ4XnodM2Jl345ldyGZkeO/oMS4LNf/32EwKng+ijl5PIDsRnSphpRaR1y4Jamhjt3v39RRyIec7sdyr+8yG0jRNhHR0bjOzH/gvBXCTNpFmGali5/xO/231RZR28jvKxZTPZ5afyGXk/io+20p+gAXVNvo2Op3IgnxbwokT/cvIl99tMoGWAUlFhtfTT9F2AFlcfLOdxG7mNyFRcdZ2C3criWjyxBIiRBbsstO2sGNL8E3VIT4uYEZMjYU0v0+BoOuoj3DVB249l8Vt5LANIeNyPY1A7KsqaYOunRFTl8H+gwag/n0NX1pUsUKVYkUTJoNUFfBHQxWpjUhKZNYnnzkf6pXP4DE4MnNW/no7uD5leNAEDo4tJgcckEYf9vD+NZztXXYnWkTHDb/HJ+SklRskuUfFTeU6c27zHyuTbjI+W3ln6bDHt76F3UxdlFUtLWmA6MXGazGTfFWFpRvDeN+FnMUFLv6Wh1kYMcHJuogGusENN0ZkwkF2p4bMUZaRUicfj2rQEwIRN659CDzWCCQK2iDmu9C3TZcNJH6oiuB3HQpEwaPqF8cECxngypFMBvMi5Wf0DUR1ZiIbwQoIIAQg2dyComzKsqqP0/+JinzTg1IQgpMS7szMl0aqUEhhPkMHzHqgohSuaF01p3+RyWbnnrWTWDJHtEkCQRUvQJUBYu2TSOtOOgufOxRlM10umjHw6KUeTPRsz/b15eAcqm/7OhX2XwpYWUNeTfRUZoUFmYjbS4+7Cm28y/e2TRqWvGmGHYzg7CTVMICpcSA8xPhPS6hxsF9djCiBAeH1rN2rLeikPY0LZWsqPInuV/kQs8YqE7eIwQ5bPxQ/HYjEYw+3Yp/ys5J1/4a1H/qZ4WI3X5n/1Olz99QspYZy5p143izXe9EySAAAgAElEQVRKkpGHt4uYNK/k3DP8JEGd6d6rsqpe/P2dcnT02ud9p4GX6V7BKW4/QSF6inuY2WZMAPu8ttPAy+f1zjiOa8/BY/j7axvpvnw7Nm0/iKaWDlx3+bn4xg/+G9+7+QosyM/ED3/1J1x1yTovdG42gRc5HN1wEFZjBYICfZt+zcalbCRt9RhBF5PIHMbjeE/xi+KXLUMuQZdQVkbGa62kmN//wG709PgedIZZkTQyRaKrqRXZpqOsLlRgoNdu7BvJCVYQQQItJxF21sXEB5ZFanoCfQFcWwQXsXN5jOGkcU7mtC8MGAFguii7svHfk7V+TparDhxCe2PnpEaQeWevRmpaMmKp/48iSKUWBoyD1i0TnyNPPYWO3buVr5T41BbKmPxyFqEta52XHvzqcyPR8dQ96ORkSSZovZK05DAjls8Hzy2AOqSfkaVc1PP6pn2dyQSRQsNlhY3VlZzUBBQ/xMjJLu8EnbyvrEHqqouY9HEuJwGzD0S4XtNaPhuv0/m/osWMbS/fhyOqs08KeCkc+ggJZ9yCupbJWQKy2CvICsNN5yZj3YK4SZ+NyZ6F8X5v4nO09Z57lMQJzxZOCrzBh6xIdPVBZEoZqeX3bNasRdhiJDDjwwRXtqVDDNaEHIeurcLLQHeq5yCspKrguWiLXgyjxZ3WH0tN+t23LxydIG7bVo0XXjzuWAiMoJZGj3WNg8hiwk2Ch+n4elYaL1sdDfODD2K4rommq+0+2XB1y87Gku9fjcL5TOiaQes3P0+2grvG3WqNgnrkJ5wQn7q+dQaHqnxEAJfKmm78i5T04wSuRr1OZrjDUwW8KEALH4cBgm1mgmwDJisZf/a+RxLdJlsMOk9HwJc+gi/j2W0ICKMhCyaYIIx4qYgRfBwZXNMFXyLncSGZR18Rj5hyOQ8Bd/SMEV4deRAplATpy9nXPVuGZiZEHD9A8IVgtwIQy0GTKSELf9dmJotNxlBZiNr4b9sImRw2muK6yJnybj+Xhrtibu97gtrweiZBFxr7TgC6SBVeJEZyrf1Cw9C1kkyXEXdw+qovpGH96tQZLYg7mZx0LxlK9fRc6uE9EQ8hMbYX0mAyY+Zz99MXZxzZ5lQeTyXFpfhVepOR0SNNmAHBQZzj0NPHaFD8f5qNahYNhhDrRwlQ55i/mdx3J4sqdUkh4lLsUePTBVvGO05ZkGroqxXO2GO5Q12lpRhif+0qQ5pt4EUko+LjkcQ5QHV1G95+cRssJziOt7fSW8iDfcMxakG2nvIp+zg8SJneURYp5FmYrBXkS8T7FNiCvMAifY3Mz0c7pVhmSmE69+3DiEchKZAFtgga6Yo568myMiY79qn8fm9JKyoaXmS/sJ9Fgh4lMcu1SUJaJiU8+Rn0cRkpQEfLlXjo4QOj81Ab+5i+81NhXZSIaEZ4K2wXJhEJMOPaBAJOUo1g/vZGGNotCAxiPPWGNvT6EVyND0KGDzZekWU+UgKTlOe0neP7vkceQXdnH0qZHOhrDqumjLdvxWX42rokLJDjnYb5s/NYFW8XYbtQSufZPm22i+v3Hy7vwovvVxF8sZ4GXqbyYM9gG0KAM/jUyX+EYvCT38kp2sNp4OUUXdjZ2u3vHn4OK5fMx9ozFozuUmKxxBjowxf/oPzsvY/3MHWmBj+69Sq3r51t4EV2nm5JwfzA/Bl1vhNdE1kAltLnoZWDqqIVPommYzKLRNwmsuI3lUHio48q8cab1Hd7DGoDnPQdq+lHFM3FBmnc19Y9hHT/FmQY6TvSSJ03JyJzYjSKxGbANDG6GktPmJwM31VRkfwkMCUga8MGhBAkmuiYZQATAKaV4MtEAMwgF0s1MlFjJO8AMwOFjTOeT4w+J58TWR0Ks8OU6kgApSQx53JSTuBKQwp0H2m+ByhJkQqTNJH3lNDczbDqWjRzwejapLoZXbkReapGmJob0FxeiwFWJ51NzfOzxeeyotgDfbgR0TEE2LQ2ZN64FgGhBhQWRqLx40A0fXJMYcrI0mJ4UKrrVoSlZ2Dp94Wuzv3ZOBm1XMIFUNiMJvQTPV5irrjpUCveOdChmClK2/nq7AAvyy/7Eaob+2jaPPEzHsao6DVZpOdfk4ukuNmTF/k67+Pvv48TTBPylPsE8N4H8o/Zw0xZ9hHKxcAAf+6quTfyOSup4MLg3JvQbvbWgetZWU5p24XU4IEpvZe+jlWYOPOuuQY7GoLIAhT/Je/37sqLUrFuZYryXNxzzyeorRuTVAxyEVlLjXdmtpjkek8I7o47jOjjJcpna+t7KZ/ggtWFIj5Ar4MtCy+HLkyLu763mAlo0wNKhobbMYQ/UHLnXqW3mi8jiLt21p/lk+hGFcClkYba739ch0Ol3YpEbzbabAEvK9ffpqQOyaLExIXxAM0i22iGK0a4A4oZ7jjmLFM4CdmXyI4m8zq1Jwb5s98MgBg8z82haTifncnGHV38EPRrWtFvM3Nb+n3wPPSUpoRSMiQeIDqd3Qckjx1QsnobGTcWmB5pgbqkFJWDEag82EUWikNAyYWpPw2ePb+zl+khHNSQsCCbC/b9bqCLXAJ1eAgW3LUOQXpvyVHtK2kwfMzI6Em8Rk5Ud1NSSBCe0cmdK69A24i7cW5uJuV/31gwoZzE83bIcydMtfLaXrzO43/HGqi85673Qty91ggw2nRyc4W4nqMY3vGuz5hjLa9rVfaFGG5qQLzxBMLKtyhMGD+ORSqO+TLuC+zmH0Z2YHwa5uVEEIibnMExhcfPa5MAgt2RlH8K6G2ilGyA91YYh7MFvNxEqUfy2rVIJODSQ6PfNso/e2l0XlPdjtpm78RB5wHqOE4VZnMxTk8SAV16fZi7ep6MYkwd59vHzLmtsH4Sli5FHBnBUWR0SVFKinKHWQDq5rzG4sN/LJTXJ5p/xIckaAYpczO5L74+095pwkPPl6GNxby1SxkzjQMEPd0XgXEsECynn4vW4eEyMrQOL7+Qil2720YBYpuGBT3GTGsXJ6O+yR5d79lCggOU/i6cAPPS4lYYGCUtKUchizuQmx9Ghp7386ixqbFmmAxwApg7HnhAGcel1VFO38D+07XbDAyPwPAXbkYPgw50BJt/cTkNgZnoNt3WyWdpN7/Lc24v4OIZZLucqiSjqRznHpoVv76pBu+8+ACOGFZSwzl982/le4Z6cNrjxfuKD+PU9ImT3dtAzrQ+r+008PJ5vTOO4/re3Q9jXm4aDhwp50TMn3T465XB/Zt3/gGvPvGfylbCinn93W343V03u53NqQBe/EgbW2wpRJJmZtVeX5e7hhKaSspSFJbLZDPdie4XJ6pSrcmm14R2mgPvQw/txFHGijqblRO74/V96HR4QuRykKxmRUG031LxzLGeQEJ3CcKsvTQaZQVuAnBVJuUFTE9R0wBwoiaDkBx/xvr1yvFPRpkdJI28nVrwTvrADLswFiy8hvXURYtG3NmEAmyPxnZfPAWnzCENgUa6rOyFkSY9n5prJ/MmgFWkaB5LD/fdtnmz2/EMRiZhh349PRLcaT7xQ7WwbH0dwZyQhTAmu7eqktR4XiM68vlxgRG8cBXZQ92jx6ULNiM2rg3aWCvO/c0lCNYM4cCjdQ7DX/vCabCHzBfe2/lfuxSx85xVMomWpNmx5cusDotk5ORRdQGmjnOx/daeVlS6RArLMcwW8LLi8jsUAMypoff1PKRGqZHLiZlUcpOZSPC9a3N5b6a3wJ9Ot2bmBP4Tsl5MPoz1xpMVCQ0+mEaGfY6oW1nklpZ30vh2COq5i2HIXq8kw0iThWVc92EEVOzC3GTGmLtQn6dznFGchBdcfbUCTkp08X30kWnt8DbHFk+OXxKgqzzRg2eeJTWe76xri0wKQjdJa55dzTwurpYf34SCNJ3yPMk5Ceuljxp9pVFat2f99agdtgNhl16YhnPPSpvWs2ccpGGv9kO347FZwxBg/Qn7dXc23HSuzWxuK89nT+8AU4rqxwW3Tub7Du96HLvKmUgWQD+MmTT2uQtSD2Le4hvQRo+ZPhq6CgtitoAh5yGZKGmRiPGpDknCUhPfCjFgjgrXMrZaJEGSGmf3XpEm/9XyNied3wm/qEFur6aEcAxoce3zI4fDsRyLGCP9MBlSdRguMcP2JGOIjUzq6UtBw+F6ggCUJsiOixjR7BHnLkBq+9FiMjhMiGdiis3oLeuLXpaF3K/lEggcW1zXvpCCni1V8J+EcdrZNYBjlQRag8PQQdCl3QN0CWLy38++s5BV/8mfayWJiAD9cXrFlJzopSGpAcOMmj9YFAuDD/luTs8Akoo7p+Xp4vmo6fxM0G9/jkCGb1mkbsNVqAtMQ2V1F+c8+6CtK6F5MfuSXgI+Xd2w9BkUKZJfci4GmRIoxrnzcsMnlQ7P5JF3fkZ5lgi+6CTGnuyUB597Dml79mDyK+z7W8Xdq/Gss/CLO+7AAPv/DiYTKbJkx0Mv9+UIZWSGUV837/0kcKyysUjVOkkxQT4ZG6NFNgtQvoBJmf/Ek7UifnxxZAKLd4vndodffhknXn+dfiQlXqCgiilGYZQcJbJgVHTDDaf0Pkx0D//0QgkOn6CxMK9hXUMTrrpwCyPbq0Y/IqzeM5fEsI9wL040VF+Iv/w5EN0s8DnbCN8B/bcXYFOz2Zvtws5EgJe+fvv4NqfdiLyjHK8YU736+iFeC+5nnGlR0lACrE/tQfv+/W6ncoRs5h56XtkTOZlidekNaNEmjW6zgKxtYeFOR3Ik12Hfk0+ilc+pZ0vhsydj+mRA9cm8M1P57Jb9LfjxHT/C3o4zTgMvU7lg09jGjFM3d53oMIRd/Xltp4GXz+udcRzXbT97gHKiLHzz+i/g/c178e6m3fj1j29QpEZO4GX3wTK8+d4n+O3PTj3wIoelZczwypFlCA10pzdP91IaCAyUUVYkkpTJTOQm23copTp57MCjMzJm1InXkEr/8CP70K8sskbQQBPP6jqXlAnqcVXRQWjvHgMaEiNsSO8rQ5qpAoaWMTDB9Vj9OfAVEMxw0nEnOw/l+pJeLJGfc8iCUXOSNVlTYhcdKUhD9ICpZzXM4CEDEfZINyU/Ahw5mzY2DurIVFj6xzqoJEY7pqWEjV5DGyc/jbw/AVxoaykvCaDBoUz+cmhm93GNDrsOdoxWaEICLQjZ/Q+YOjqZQsR4VNJpg1jJDepvooFrL4JSszDgH6YkR7g2tdqKeQX9SCjgYn5OPgzHmjDCtI4/7TLjZxsiyXgZQGhKCnIuXom/PHcA0UxCuOxiSfMQB36ez9B5rLilTjjR2vTJAdLdFylyvZJjVUyxuRzOn8mxNHb0Y2tJB0qbmMDECYdJYT9xAeqYcM4m8CLfNyxAhaQdOBf1jguyIFmLeFa9B1zo8/NpTPktVr4m8wKa7DmZ6PdVlLCVMc7ZM00jkD4vKlZ+TfR08Wwh6ekYpEeLGCxKikV9s/19kcWI6sIb0WZhxc1vENEN22lSXYIsmgbHkjY93ebHZy6bcryss892e7c/YPTzO5vqHICi+17XLo9DR0M3jh5190QKpRfTLbcU4S/PH6OXxxhaqocJ5x16GVzJM+adFVn6uMhz3sb0sypORsV8uZ4mvnv0BaOyPQGUfvXjJVxYTo2RZLUyaWXkXi5y3WWCVvMGaFUXzKjfmu61nGh7mSALoCXGuZu2N0+o+Z/J94aFMu44QYtnnrwf+6uYIHASwEvhnEPIWXADj9FMkMiimGLbcYLZYeU4z0/kEz29Uwdf5HMiIwgn8BJIjw99mApiJD2H8bBFjCKXZ2swk7KAcI4XkjDnEUfs/F6Nlb4H1mUIIxhnsmzjtXqDDAvKbB5tg7qY4yXP9WhfPloOcwEqZ81Fpz8XnW5eL/SGMQ8cQ3dJI/RJEYghI8M64O0RlnPzWYhbxH7d34q6l9LRu4Wym0mYLhI7XFLWCZMqFB2rCLrYvEG0L38xHWetSvX5qMizJov6To6zJfQMO1plwIkG42gSkVgvdSyLQVmItxxFQ2nUajISTSyEzLQpEo3m7ejfw2vro+kyc6A598vIpcFpKM1kDzzyELooPZWnSxXEsZDyjqBAPnNk5PSNBDOe2j6mRXGekJsZMeodNdPjm9Ln2M8+xYVzOj2pTgZ4qWYa0DfILvE033ceg5ilFxN8GQ+HE8AsXEfPlUmk1pK6NS830o1pKIb+UWSpxFMSF0uwRc3xZqIiyhBBoZ0PPYQ6+pIN0Rzes+kJQIpRcd611yJ9HL+6KV3bGW70zy01eG9nmwICC9O4mGyKmEgDbrxmB6wj9kJYHsfzeT6TnPzxxsvrsGUz07FcjImjCyKwe14cWil5d22h9CUzSr/nUvTL4zicyeLR7bfmoySoGAMa32ylIb7jtucPIIiAoWsfZGR/V0ITeguPP2j5WejIOZMpXe4X4/q18Vih3MeJC4nOT7UzlWov75nnHF+KN6vpyxNGEPHz0B7/81P44+MvzfhQBKv8+Q+/gutoEny6jV0BE4MyPosWhJPz/jqVx3waeDmVV3cW9v0fv38SF51zBpYvzKOcZRBXf/PXePvZ3+Hca+7ABy/cp3zDOx/tQkVVA1MDrnD7xlPBeHF+QYw5CstVi2lyNjOmQfnGjYzI/EBZtJ1Mk0Ve1iWXIINMEc80k+nu99VXj2LTx/XoZCzlkXK69XvM4VNZzWrqYWWVg6KYcQ6arcr8dHU6AZiBUgyW8w/Njl1bVhp9XeJmNi0KodlYxgUXIIka/skYHTKRNTOG+pPf/hYNjN8e4YTQs4lESMAXGdTVpJAGJeXATNNbz5ZH6nBURJAyIPdLJUsqFZx1ifGfpCBFsCK1jCaqQ9YAPPiXA4yNHOTx+SFBJrKHdiqgi9EBWMyhAd8QkyciNUYMRZAh0e7tTTOPBnARNJK1+rWgv60V6WcugT41kxUvLROZ4gkGDJFCnI7g6Bg89uxmAi/BBF5yedgCdonHB/lJtiRWfzPGnQx89fbf4tmH7nI7VfnZM3/8GVpYud15vAf9YrhJgErLilQ3E09k8nGs0X4/Zxt4kX0O0vz4CBcdgwRZJA52aVoQPVACfOqs1xRF4toLM0/Z4lzkVeL1YvSRVhTGlCtjQ4NXlOcI3z09f1ezg75MZJeIuaazaTLnISB3MUYObFSYbCLDyEqzpytMpwUnJaHgK19BNFNavJ9nK+57bD+qG7yf4S7e08xYFXqYWuD6Hl94QRouuWQu/vlBJZ3saWZIQEUOaUPTJoQeOah8hTDaFs6PovGj3UhQUo6aCAR+VHgZATH3o1haFI2vf3nelCahJvMm+Knf4veNgZ8jNnp1DP+Ei/Xxfaimc71mum1nlxGf7GnCtt0tSsV0NltoiD+Sma7R1klD1B5GUH/8PzhSX3RywEvKIaxYd5tSVZY/A2SnyAKwl/IgAWKELj+etHK65yb9fC+p/JOEkSm7lWdJDHgj9CpKSxkXHK1T/GDU7DuDaeictZZx1ZkdCCYgI3HErmwY53GJfGWZeRHiyESUZrMxyWj4fvaHbbCWD2H4saMINNKQ15qMw70EPuh9IW1EjNrJUlQ+Q9DFOnKc/cUAjC029FW2MzGHfhE07bYOuPfBAcFaFN11Ljo3xaBnM410PdLvfF2vciYJtTJeWeRF7Vbv8W1+rh63fb3Qa9ySfqadyUxHuZA/TGZLdRPBIR9ywREC0MV5MUxo8e4vCgmAhJOd6sscear3NsLSBtXW52ExjvUdYl0RTsZSFO/Z6p/8GFmFTNHjD3fTVL5iGw23q8hycTnWwGAa6p5zHUba6qHtroa1rVGJpo6PJOvJpXgx1WOayXazJTW6kRKjiVpjWz+qGrwXMgLK9FOWpyJSFsNn3jaOHFHLd6Ign30qpTUirdazP08g4CNSIi2BEpnfTHVs6KFx9Lb//E907KRPlgdAqOEiPsRhNr2cEpYYFuI+rXaMaXuPv1ZOENg+DlZRhudM+irIbcVlF+zg+fdh/YqEcSVpzc3DePX5C1Bebgc1Alm4ksjntJU0212Vgi4WhZz9jCvbxfUcbyEr69aFCWjifKoEZRgmQOjabGSVtT/0BqxMmUywxXK8cwdQGhkn3qpmX7D2Ohgp8/NsEqH+iyvSEBthL05M1KQP3v3YY+igdM2zpVFaP+/SSyfdx6d1/05/z6m5AsYZw8IndzzB8E7rPLk9zt6nTwMvs3ctT8mehOVysKQCP/3Otdi6qxgv/3MLHv7N7fjuLx7C1686n9GmOcq/b7j6AiwqyHY7hlMJvEjpJ9+cg2yt94JoogvRQzZGKZNUxKn/ZFkueg6q+V/+sqIPnQ2qolQ3f/IfH+GTvazkuZjBOs8niLROLeNn++nnImPVoGOA1TBicf0CVrl6mqFv2IvBhjqF1TGRr8uUHxZO/CKo35/LASqS0o7xBjoZ4A7+7W9oIvNlmBGUg6wGSSKNJwAj52gcpjFkViGDdnwjwlLJFzf8IH0wmhkpPOjh8RHPSlLaxRcjdvVqHK4ewItvVSLISJnY1heZetRH0GWMKhvERUcMo5C1RWsQ0FaJnlr3lJx8TsaiouwsiAGmFnQc3o28K85H6IIi/L+XSvDXX12PLQeO4x8fHEJqShwXUzZ6HuXg0osW456HXkdtA43raOd/w5eX4szlC3HPw5v4LASQljuEo+U1lOZ9FSXHq/H7R1/AhWevwJrlhThcWonkxBjlZ+ecuQzlBC2vvf7LNKOLoadFJ5588hl89aZvoZcTyuIae+d9KoAX2a8kqDS39GE+jfCGLBNPYi5eHYeL187MpHIqz1sdAbYjTKMaIdjm2iS6MygxEf2Ur3k2VXwSSg7Voa1W2Ef2xuBdBJk7EZI7D601rUzqCUAh77NqEqmd2745oUsk4yv/8ssnlA3uP9yKf7xRzsm/C5jBd+EoJUJBfEeLssIZY24vxQZR8vcfd69CJIE7Sfx64M8HUF0/gEJjBebuf5+GjWOoipj0ZqfbjQQlYfj59AtR0uub4Xf7zfORnxs74QTSauU7afs9J9LuVVqbZQ00gZfPSv81lXvsuY1EQ2/eUa+AUL2O6zST/fj6TDCr4GlM/Gmlb0AX/Q5sjkX0bHm8CPDi2aQfFImY+LMYCKB39zjZMCfHhDETfOkhaO2r6i9SUvkjUpOwEErUuPiU9WAgwdSMjEgCL/bFS2jiEILOYAoPLIr8Ti/pN2QByOdEcuQEYeZZcpGpSnd7ngbM78BP9SE/x+jrp7qgYsrhCNNmhq1FOEzfkS6OpyNkSvqTNcCRiaCLGOk6PSH80FXGVLmOLkTPS0dEIhfIg+4FAj8U/n/2vgM+qipv+0nPpPfeSINAQu8g2Dv2uiKWVde1oGtfV936btPVtTfUxV5A194FKdJJQoB00nvvmZlM8j3/OxkyNTNJBmS/H+d9swiZueXce8895/k/BUEBlBQ4UAhppEF1SZsb6hdcjBbK5MybMH5+dweBo3A/BfwSsKWRi7mDXJjm0gOqnKxCAbVtNQGhyxdFoJwVcfMWQMnqgr316OkcPzjo4TqoN9QtKyVgAATzGkj0cyClYcJSkmLHVCYOyrNfRc+5PJqCipSmnh4YFTQgNYAv3gvPQFNwJs9PHx+tGuhkNHUF3FvKkMBEqlACjg7r1Mb50B0t4EWuo1w/MTc2NPFVkufM8EwE+rnDn+97c/NtKcpM53wiLDFW8W0ROVGgsGfHALaYd4/I07ex+NPPgoB5C+T2hTkjpryL7ruPflyOMRLHeQmUr8l7/Mm3DqB6mIUl75fsPDJfjIC6s5eV4YYriihF1D/r1pqwwLZvG8R3X56L5mYXvjN02L2/HQkJLOAx2TB/VhS6OY76cy7aw0KRucRdgJo5mWG4lUPODFoS7NTuRaNHM4ZoIq00Gh+3P/0lgVi9Mb7foC9oc2z6/iFI3LTsKuxqI0hrwyYrhfOVO89NtCs5qqcfz14CL+ZzfWHSnvDII/ClZ9vx9v93D3RinJLiCXZLAOwHkExwF+P++nHgZdxdd3S+KJPI/3vqTeTlH6KXhZsiJ0qie35pRS3u+/MLrJZrsHzhDCVz3LwdUeCFO3PjxG8J6dDBDphRyYu79IcfFJaLhoavE2miBU455xxMOukkeFqZnI1321LF+9tTO7GHpqq2EjAiqXHVcgHZSuaLcZue4oswplDI9QrpLEVo8z5M8u+DByfYzmgi9Ymn+V0KTW9VViYSBZ9/jhKJBR6uAClUbv63+HYYAzDCWvHPmI1qmuMOjlLC9fVxRzp9aRpJZTYGb1y5CE9ctgyu9AVxpQ9NGK/BT+2hKHp3LRoKyrjItWTaxE7PwODsC6CpLEYYzVU76/Sa+gxuPyxMv5gV9kRDbi6jOnuRfvYZCFo0B3/5YBde/+etuPSup7H2mRsYrxyC6+98AeeeNp+JCH7Yu68E9956ARN0enDlzU/i47V34h/PfMbnxB93/+oK/EigctP2ffj9Xdfg1MvvVsyoBcjM2V+C2264BCtWPYB1r/4N73z0PZlAPbji4jPx0Rcb0U+GTubcRWhoVyObFHhpRwp4yYpXYQY9R977psZuKpYcx1VnxuGEOTFHpEokk76fmOjTXlhoccsGiJku7yVzhloBnxmvlAxU79CzRTxoFurZVUdpWRe8ImOgi0hCWhT9D2hG62gTr4opNMdOXLDAofN8bm0O8grpIzQ8Sewgi+sAEyBkQbR8DiUY9IiQ5/nkk+Jw6aXTDk8y9+6rx+cf7MXCbR/ApdnS5yFzcjDvM2/oLr0UX/YlYPP22sO+NcbnEh3pgwdWzyZDxnbKVp+aaQ4e73PfI3z8oSGu+jT3sAo6oqF3tI8m+jkBXApLWvHx1xWosGLaOJHt0woHSbGM5dZQslnfp1wH43YkgRfj/RjYMAI2K0wY+rUIEGPMzBrLeWro5SWMQW8m2fkqQIsHARN3ZcjVkU0oyUnqYV8jw3aFGZkxhd4TYW4IPaUR3e6WBpmyCBNz3eBAL4uUp5gAACAASURBVKS5J2B54Gxul9w3I98qna6FizCyXjyYKlVJpuWT++He3UJ5SAoGXCKwl7LdTpqiDmamAwG1Fka6A2qCL/va6N/RS1lROvwpkx3S6IH37lLKP+s6EMlFsZ94o5kBr8Z9JAvK/fX0rph1EZp11oHIqy9OxoLZrLg39aKwvBO5Re0opwyRmIlDTZfqh+xJwdBYYbssZMS7ezFTmsbpmywSpqS+Avjs+w7+3uzzAH06lGEh7MWF4NIHH1TesTIebiYLsMtIZlnFSN9qGm67BIajf9k1ZIdZHohcNl9tG87O1MKljl5rZPwpC09HzYIc6iX9h44W8CL7EsNjkRwJ8DTAi9lGCZ75PCk6hA+/rPGH1/mefj5YeN5SzDhzGcIJCgor2RlFMjkekRwVrFljyXohS9IvKUnZTyRBmFnXX+8QI3EM3W7x0bUfF2JbHlOvhn9TUUXpLaVzxvDiqbOC8Pt76+Djv5fHZtv4s4pSodzsKOzcdip+oo9RCz1fJD1tzhwWnihXPJBOgJVVhW4r915inC/iY2iKz3t69aAWsZ6D2KrdeVhypF6fg8ZvTOV1kTqa/Lp6H34Gpl59NYJmzMNTnxSjbjhq2VrfnE8p4Okzw232rYy/255+Gq3DjDzjbSSzcJfBH3uMmYlck+PfPTZ6oJ3Q3s/RgmCZ1PlzHIe1fR4HXo6VK3EEjmP16tXI+s8axDvgE2Jt99WUNm0890Rc9tbqEcTc7IMh2iAscVsw6su0my78+9evVwZg0URPpBlYLiH0/HDmoN1KrfnTr+agtoEGf4XNtHogBdlKUW7W9ECU8mXU0SOJOyOgioqTuBOZyCMvQ6l+3nFNGtQF2aigKe1EgSbj/vKmlj+N0qpY0nQNGtua7Gzk0u3fGoNIqThyZdDPRbOaDJh4Lmal/pNf3ILmVjPdhNGO3CizCPHohHtztUk/hzApKpiVpMOTc/HB4IIke9t+VPV4o1/rYgLoeHA7jZkXY/I0yozouB/UtBe+zQcRF+qCcFZEDdewhwt1oaMKqDaVi27/rOn484c/Ye3jd+KiW/6Ob967l0fnhidf/gpx0VGUN7Xi+805lEQJzZ0mki2dePPZWylF+gYzpsXhrBNPRc6BSrxNUOWxR36tAC/fvPMYPvl2O/+9FKtvugwXX/cA3nv5r+yHLjzw56fx4r8exH1/JJPs6svQqvZEeWMvSoZ9S5wNvEjBawVBgTPn6I2Bd+yrw38+q7S7oJDv3XzxJMycopchOLvV0Vwx++WXLZ5TeRQCyLwymOnKfmvqulBe1Q2f+Fi4c5KnLiNg014PHcFgQ0s5/VRWfh2nkQeRJp61ahUCx6D7rmQV+pm1+7i4puRMjIt5bzc06CUEUoVdSplWP1lqv31gAWJiRhILFBr0b/4P3RvF9M/yYReT3hlXnAif1bcrC+onXtjFZAnrmvlLz0vGySckWh0HZQHXN/AUpSIjBotybIMDs+HpcrVdGaEzr7GwDwpKWmicW4ODZB84s8niICGK4DPXogK4WIsmlf0dLeDF/NxG2DB6SVIrQRhhNtqTJHkzXUTG9MhQMr9oGFvf0ENpkyTv8IdMGHvNl+DL2Xd5oCfY0l/F+LseXT4Y2B4DDYfl9EmBmJoepBiRRjMBRhaRvZr3eQ/9RD0TZaVvEYDYQtbLAIGDoelQc2DYU3mIqSZlcMkKtLqw620iE6iI1W+accQvmUYmTi868z2ZEEOTWD4LIgFJpLeYGyWr1pr0U1Eb02vSVqBlwNSrSYAjuf5RlJQlp4RgXzGN3xWQy17vmP7eg6bshQujUG8mf5BPhdMAfsaeBrsJguZ7FLAlKtQLsygVTglzQeUbzylpf9bmD5k0ZU0alt2UsFBUuG6dhffJIUo1umecg0okjIqleFKyes+vMqHqb0YdiwqSFCSA9ESZvsbndzSBF9lvU2sf8ss6+ezQL84sBVJ+LzLNhGh/DEVOgmvCFCy/YDGWnpB2RIAPDVMWv7r5ZrTQ48ak8VkI4vzIY3jeO4Xef8k0cXUW4GN+f/24qwbrftDLVqUJKCVsFxkfDG1ynApXnpmAS86nZYD2FT7HB0wkp8bbFIA3N7eexYPZeO3tFLKK9CBNOseDCDKufU+PwSYyRjRmptOS8DabwIwhxIFTUtw1QEaSRwvyhpgEVViLhhc/xoAMMEbNY8gdkYMEUPjMRXN+OOvaa5W+2s2o5bc3VYNqMpvt3vMTkRJjPVmylvd8ziuvWNzvHgR3he3iMyyLHNsIcfzT/2s90IKfR0YdCuum6cdC/x0HXo6Fq3CEjkEYL7exgh01zu1TPIJ/T8/E1X+5Bo1nT4fOzfokM61/EqZ6T7HYiyw4ymjaWcq4Wo1R6s54DkdM2JKYVpRKLxdHDGfHuo8XX8/BXlI6pSlVvf2NNEczPd+0Sb5oZWrLICmceuN5vd7W0Gan+yHYxxPXXJKGuTOilX/u4XmXfv89aigB0pHN4awWyAVqGlk/AlTsefZZu9uWSXMSKdQBZKy0ckLZ19TKCPIWSjSsO+L5BKkwUL4fvi5aVvLdlUmq7CuBExi34Vhppa/IoDn441Y0VtNklS/uXlUoOlz9DwMwLplLkaOdjFBSuedkBJLJPoAzovKh6qBnyPB2ZHrSwAW/hjHZBuDFL2sG/rJ+K15/+j5ceNOfCLzcx6UxPWVe/BwJsTEK8BITFYhLVyzmv8tiWEMYzJNSo48wKysGp584ncZ2bXhz3Q48/odbFeDlg1f+pkSvH6QE6Y4bL8Ml1z+A15//CyUQQ/jzYy9h5SVn4dW3Psatt9yEnLIOBXTponeENGcCL0JvX7ksCgumhJtM/r/fVoX3v9dHO47WZCHxm1+kIS3J+ZUEherM+6lVUiPMmh+lfWouWGTR0kVq9X7eP1LxJLkcKXOSUfnZ56Q+j0w2vcgMiElPQDSNE41jp62dmzCxEsnmylixYlxAxFsf5WP73ia0tvUjL6/JpBI7e0ogziTb5Re/mGEy+e4jKNr/5jvIy62zGkutEw+He+/GKefNVr63bScn2J8W85mxHAdFUve7u2bT08OS1q7WEHB2f43bMJ7BEqBU3wKVl3gVHfkmgEspPQe+2liFfHprjJcxYO1I3dk3ifHeShx5FaNntQOjs/x+LuDF+NgPe8NQTmhgw0gil7AARSojsrSwIE9EEGzxpFTImz+ysBLTTPG1KOC930faviNt9vmMnM5shz8TSsTXxer9r3WD+85EtNab9p0CZoR70YwzGFOnqBET9yZZL70YbCCg/hhNz7sIpOhoquvijY7BMuTQD6I32BWuIeJdZAkmthVpCMJzQspfRUxZBC1llsYMF5FnCKg/ZAV8aR7ywU9Rp6OhX294K8cm7I5+LjSbKEFp6dRgEn2cJhKprM0Mwp4osk2sdNJJJc1Qlzv2DvWgXCk6TA+2ZNDQOJ5ggADcuTQQr96wweo1CKY58UIWq+Rzkhi4+R//oDzLcvIu4HBVytnYuqfZREpibaOhwd6499csVjCCV4CCei5GZUHaXlyspAeZyzoduZ+MP3O0gRd5bnYyttg8YloKNUNkN2qjUuERk8x7NpBJjmG48qKMIwZ4SD+Uf/cdtv75z9CwuGfcvBm24MvinAFsmU/JUYQVn7Cx9rf552sauvH4mwcV+bmh1VI6XEaml4FQHB7gjvmpjFWnqXtCfDD/vYsg6stMKiu3ufsSguMHyS7auPEU/LQjUgH+/ciwmzcvAjGRKuQT3MylFNy4TaIcKTbKNA1TZgh3sChS3L4L+U+vYfCBaT8Zvh8wyO/GZGAJ+8mbaVmG9s7Gcmwt7LQw2DX8PoxyyfsvTCT7z9RAVeYR2558Em2Uqpu3ZL7jMzh3dWbhdKLX8fj3j1wPNOHIFAntHXE4LM237X3naP3+OPBytHr6Z9iPM4CXp2l+9tt5GWiYHonGS05AD9MZzJurzgULdHMQQUMuQ2ujl0sBE4vaqPEUffREmiQWTZXEIr44j8Rg/d8vi/HdZibvGOnOG2jgV3qoQ9HrSwtnko4PK/cVNPJU0SRRxwhQNaVWxqwXX3pZ/Pb6NFx45mSL45T+KCEA1USAwWkVL04Qu5gq4yGmt3xZjtY3MUuWYAZNSmUi0s/kozqCLxWff4sD+0zPW87VlZI2X5UWPfn6xbdMHmXBEES5STiTbIYkbpLNhUBMwYFCVOYU6LX8nGmIdt/FwxNqfxojRqRiX8TZrHzqp9HzOam+6boszKdUZid1v+30DBEGVDePp4X9ouyb20w/+2z4TsvC37/KwVtP3IsLb6Mx7tM3ITQkAFff9hwuPmchzXj98eFn2/DM366hvroFL7+5CXfdfAqBly8JvEThjBOnIfdgFd54Px9/vv82nHXlvXj/1X/i+y27kU/Pl9t+eSkuvf4+vPrsXxVj4B27cvDeR1/jzFOWYnLWLGwvbEMVvSkMC1RnAS/X3f4IrlwWg8gQS6d36cN3vyzBxr32KZJBZHLcyZjpaFbAnN3qyUzLfuklfayoUVNYL1Onoj1vP5OhmFxFA2JPXQ/cO+qgor+Eu4832oqYiCLXkUCd3DduvG9i6Qkki3Nbq31hcU1jCkXUtGnjfr4FcHmcni3bd9ejloadxk0YC288sxzTpo5IegZI/1c/8QTcJQWM8oHK2h4L6V3xKZcg1z2RkbgzCCzotejPrNlDwNJ6wsfiuZFYeVmGCXAkE9Be7X84yTY1F9QNTIKXi36RdySbAC71XBx8w2joXaStm/svTGTfckkTmVIk5IRK8e0g282RdiwAL8bHyeGO4xu4oPFRvBPEl6GljdIk3t9qo3Qx4+/09Wk5jrQcNhG3dd6T5nC7p3ejV6dR2ACSdiRxsubNd18iGordR81kku+vOGsL4uMLKIHzhO/Xarhv2k9zZk/eu268Dl1o13kjh2a66ughq6wXHa9RS14H+us0GGLqSoyAonwWjJ/NMJqnBxGAGRJ5zHDTBYVhY8hy1HaLNId+XEzHq+X42EjARdg/Al6nJwcovi7jbe5coO6fF0kDUctnIpFpW6k5TZRz2faGEQupRHpPZKWSLZQchFgyhZSCgdyobI30wdlNUHnQbFxTxisWdubffTfNhycpnz34ySc4RPmueZPtzb3rLgQnpZBdmUsQkwtsO6yeDPpM3bwqw0SK2EUGqrBgmjjWdnJuIMdkK1VotP482sBLBWUwNZRatZCFoea8zz04DOq4aWj2n4R2rTej3fXpYucti8DvV88lgOm4xHQ8940iZyF7ouSrr0zAfQHyg3hvuw9L0VV8xywkqOAbNMJ4HM/+jL+jIaXvKfq6FFePvCdlvM8h26VnGJyXseWkzEBMYdLVTdfOODzeDw7V8Blaw5hpy4h32UdRKVkqB8VAG/j++wuxe49KAXIuOj+B45K+zNTCeUTRcP960mdwNr1drPmoJXIjC159HoXZ30PrZr3Q5sZ512l3/AkpKVkm7+B+spqe+qQQpY225/AnZATh8qXRJuEWNXv36lnYZgx3V7KQTqQx8nG2y0Tvvv+d7zdAX4Q+2i0S+hSxY7EdB16OxavipGNyFvDyd9IP6wcb0cfqX+Mvz0U7o/CMVDbK0fpr/bDUlc74ai0K+RKsoeP8RBOLZDI0iSyXFMbIepKpcSRadl4DXl9XqEwezVsB00yampnYQ5+WqVMC6LMzksAUxKpDI2VFHp5kgwx3hkSH/v7XmTh98UilxXibMkmQF1IxvVhE920e3TuW8xNPlA5O2Dqo65dkJ9+oKASywuPOF6h5C2byzLxbbjFhCsmx9HDyt+M/H6Lw8x+hpsO9oXkHEhSoyYemXS9FECPI0FDGTJ/K62D0Iq3p6EX+d5s5YdT3HV0DlKQJYUG4cuLjM2c5ClWZKHZJoLeCFlMYq/3c35cigtUwNSuK25gW0cUUnXr2iWbY1FEmTPE0VfXNmIYnd1ZizcO/xA97i/DGVz8hNjoAIYzrnJFJyu650+nH8wWKWAXVMPXouiszaJSbjn88vVmJbT19eRp25lTj7fWljPz9BVb/7gOyMcTnYymKimlyt+piPPLXpxWz3r8+fCep9jqs/NVv8fRjj6C6nRIUAi/tRmwgZwAvK4K34kPS3EeLYZSJ27Pv5mP/Iet0f+NrGxvujdVXptMU07nPhtwb259/Hi1cGJg3P4KgZSV1KMqthHdfE4bamLQy7CsUs3QJ6rfvULyFgshw8vb2UL4uvglxpO8PWKmiR3ByPI3SMl9OjCfa3vtvPp56eZ9yrxm3UMoMbv1lFi45J1Xpe0X6w3vPPS9P+Zic7778JlK6RyalLRmzsDXlVKg58ZQF5Wp+X/wJqmo6CL7k0C/E+gT27l9PR1pK2OHJq2agmh4cT3HCbQpi6fqvo+nwrImess3vyzm2tfcSaKyh11G9Tc+q8R5AQow3mSEuqCLgQgXImNrPDbwIG0Jo+QkxfpgU70uzy0Ak88ePviqySJe+0zOE2lHEn335rTRW7TcB5uWEhRlZUEQAkkwZay0k1gWZV/UwW2Hk2gvIG0QvF0+ywQ6Pt2WR6Mjzt8q6Mt9uclIN5s/9hua5PfDuccekdRXwU1PCNhhJJox+HG7V+SBniN5E7iKnscJ6OeCNzuIqxbtLgIT4+fPpv1VpsqsEss88BAzgs+FJI9ScpFOxuXCAYIsajfS+6jWSUcgXw1iYmJIaMm7gVMCcntkhyAm2BG54uXAi39O99ZbSWC9ex+RYX4ItAQRbGJkdQiDQimmrnMeWxx9HB8EXay2ec4zp9HKS/ujku/mnRx+1Ol6JFGPmNdco++ggw+fZ1/bSI8n02ba2/VOXxuCCsyZZJC/KcRlAmEaOR10CwozBD+ZoAi+KqTJlRm6UirgnTUH+UByqBkIVY3PjopWkeEkq3O8ps0qMdR7QYWuQaaIB8m76vTRQcm0MXqkYRiCsF0NBKpyx1bMpTZpo+qXhOD78rhTf7mw2Ad6a2EdFpSPA/KIMf6iYRPSra6cha5op91yjo6fd4Ht8bk3f9eKlk0OPsqZmjq2UQvb2qfDNlxey6OeOLII4bl4qZZwa8vVAzZIoVLLQlUzvwZhhoNG8nyI3/QjV++8hXteNNlcem8Fo1+iDMdesQOCCaUqEvYppksatmIWJF78uB7FPm+1Xp8VgJlk4clwydm557DF0cW5qMX5RJp/BwtqRKKCO6SVk9mF5DgvpbSc/E2kZ9DFKpyT7eBvpgVocfQ872XsMTIM8jqVrchx4OZauhpOPxVnAyz+4aNKQrthA6tYAq8etl56BlqWpGHQzBSvCd2ig/jZPiY+dKMtFpDRTL7sMwUZ0USd3Dxqauunrso/+INZXDmLKmLe/AZOT/ZB/qIfa+5HzFdZLP0tsWsqN3DkJ82K/TCewID4Av//VVEaH2l4MazmhLabJcNXmzdBSXjPWNsTJoUiYWszkIGLAG8DJhh+rlYYqny/TaBbccQd8bFR65IXzwdofUf/9RrgeOggt4zUDQj3Rnbvb5LACEmIxdQnjw4eBl+buARzctovSE1PfAh0XLRK3rUpIYfXLh1HSagyFMrJw0YlQx09D5uRQXH1JujL56aQh5JeMfGzmxMnQxGcghNc+lvdcINOqhEnhxs8KsBSWkUxwhy9zl2aCTULzlwq7AE2yCBYjO1kAdXMhSBPNLhd0cQLLvBH4eEaRjcP7tnMyKcEqphXp4CPpCywhiUQkmBOYgwcL6XuxHdesugp5FZ04UNmlnIc0wQ+KNj2FjctOgDfvx/E0NSfUl+TtYaT1U3a/3s00lmc/KMQhG34ixhuYnOiLX1+aRu8J28audndo5QMNnIDsJfhikIMZPiJeSP3hiaj/8hMMdHWY+GP40JdFFRKEPqaFBDAhRCmND7coLli8CZ4aJsbunLynM6krafFip1HRP1iXhzc+KkaJkRxBDsEQV/7w6hlMs+Lx8dlz+egjk9hcOa9CpnYIaKgJCsGWZVejpX8kSnPVJalYPI+R5dzg+k8LmQRETT/NY81bYpwf7r5lFscDUu/5bPVq1rHqampmqBsIh8fQ/XwGLEHS8Vwr4+8oCznePz9uqz4clz3RbRp/X2QvQf5uCuDSM5zqNtbtH23gRdKFvLlAT0rwJ8Dir5hPJicGwoeyUHu+DwLCSJ/WkTVUVNqGvIJ2Gtsz2YaAnFx9jYbgS2Grsgg3bp4c/hfdwIhr1QhYb/i9ANlBQV4ErvjeaAlE344I9FgB/q31q5A3zj3rK3h5l/D4+xC/txNePxbxOWVS0aA/AZ1Bejy4oSksDvn0Whqkv4hxEyNddW07F8r0/SJbUlaN7hxfY2bNgoZjlDQFbOH7ImLuArQPeGD3pLPw+a5uXm/r0irxMpkxjQadw+lNY70f5POuvK9yZ0agy4qhbkZzN6IOtCmx0/I8+/BdO5kLzakERDOYPBZMA2x7zLESygoL33/fKqvEi+e6hIa6UoWXc89+803UbtlicRrCxpTPSSKPoZWWt2PN23kWZvvW+uD6yydjzozRzUhby8tRQ0P7BvGDYTHCHjv2aAEvPTo3HFKHQhOWjG6fOLJd3Dg+Mrmn2BQ0cCWwmEXT/AB/b8RFeOEeMn2c/W4y71t5RvdTFla6fbsi4TI0F97XCuvFqBiVQplLOiXX9u4Xe/fwfvqIvfxRqWIgbmhy7+wngN8+nPw0iX5XqeEqyk9VuP8Oes7weMybeuA76Fy+5fGMeIeJh5DEUCum4DQwFgZRW2sE8vdfhD37e5FGc10/Pz04MkjAs5bMl9jpUSwqWDLFgqoq4fHE41BzzhnJ4wtCG3q5L+PHLGjxTARdtZxA7SCStUnIcLH05PmcMtuvc1pArNlq8+U86sGLEhmA4IfKHTuwn8+QOdvFg6b5Jzz0kM25qL0+n+jvDWO5bKee8ehitt5NVmMP5abiWfTic3/FDzt1vE7jS8HSajvp7RiJxwnwHm8jPVBNL6yfo8XRhetYbceBl2P1yjjhuJwJvMjhdFNW0OLaqgzaPUxSqr/sBGh9XagHZwVs/R705pYgsNMTKrfx00uF8ZDGBZmYoY3GDJho9wwwheLpV/fSaHJ0ZoGQCbbvbUBLq2VVM5jU9CqavfhxkSmgS+BwcssVp8dh+dxou5P6dprdFpH90kI51lj8X9SUbjXw5WbLFFImkkGkTPsRrFhI+nQQwZfRmtDmn1+bjfaSCsQ07YPL3m9JRTel6fnNXoRgTnjjosTnRoNDZdXoMJrkGG/fxc8fA8Fp6GzQg0qBrPCqVB5wiY5H7/SlWHHtSZjG+N1mVh+3csLUSJnRYVkLZ9YCtsQzLcmViwMPSqgEeBH2U9TMmYhbuhDaoR9oBFnCyYoAYQI4yIJAQ4kANfRtnWjokEWQG6m5OoHFeB/Rq4NVp0GmyFTUzWfVNlHxoJEFSih109nbN6KYEpmVq1ZiyN0HBTXdaGgjaMNFzvw0fyTNCMWdf/kD9q/+Dc9hfLTJIfZn1pP/wrs833QHQJLW9j48814RaprsV1PnTQ3CtecJm8O5spVdTIxoMDIuVBaZuWVc3Al9n5PBYVmR8bWPO2ERBssKLCZdnpx0xVLuNsjIcGFgZVJaFMj701mts7Mff/3bFlTTVLe8oVeJL5YWQBZaVlaE8ixKStENJ9L4keCXmxW/JUk1a2RFP/f0q1A4FGlyaP68Tx6+cxafcR/KSzR47NldNOK2fm2uujgVSxfGc8LMxSIe43UxTbIZVF/GZJwlTq36KSBPrxrb99RTVlTDSeXE5J3m1yUs2J1+J14K4NLZo5vQsR9p4EUkOcI+TEnks0sgLI7+HglxAUqssz2gxd79qGcS0WCUCy/xYMhnYo/4ZB3Ib0Y7zWQNbfHVNMCNYXXZRpKNPD8hnv7wzk5Be+vYHGinTSnFvLlfIjKS8e7EdXye1sKtvRa9PQIw6+9JNw5eDacuQmV2IdMHmcLDcbX7EFk1tR0KXC3LxT4y0AZo9ipNjEijKCPsqawm80anML1cp81Bxcm34MvdeqDJVpucEoiIMEsJsr2+NPxextnGRZFkR1qCx95k7CzPricIocVMmotmcl9TCLb48H3i6OK5l3LCrf/8J9QCNFlpGZTgpjCpT1oz5a87OT5YkyOJx9zU88+3uId28Jlb/3kxOrrte/7cyej5dDJz7B27mn4wtSxIiBypk2CMHI+1YtaRBF7knRtK+acqeQq+PkB2G82Z1UZAg7DGCuiDVts8ct9PTpN7YYS1dOq8MFx8Go12h+Vejt4TY/1cPYGysnffRQWlW5LkaGgqphv5soBjzLCYy0JUJJkJ42VdtDE174k38zlHMB1j27l4P0gGnMiDAihZXJwewHeFDquuSMeSBbYXn72ad+DivluRBvZyLpZ7UJ+qKUNHK82M5dmTvu7uzMDat+cTdPXEJD4Dhj496Yo07CYLvdcM2PFm2mMQ7+XeyorD/RE3xDkVTUe17vp71TsyDFH3XQGd30iRZJF6LsI9R1ibhi8/TcnR/mrbgQzTCYbecGosttNX0hrbJZXPzmSCXuPt99HuCYNnl/GfwhxqIGuoiVH2wlyX/27kTwsZeyK5FUBL/jTY0jnjvXTnlU14ghLm422kByqQ9LN0RyLKf5b9OrLT48CLI730P/oZZwMvMqg1DbYoiLk0TSJNTpfORdPmXPTU1lJyQM+HQQ9EIpyL1rEvAsVDZNoVVyCIcYBHYnA2vowfKFVrUvCHWQ3WLnF4iAcGyIrYtrMeTVYWwCqmVfRwQhET7YfU5BGadbBIjm6c6rC+uZ7MFTHg7RDPEyNdvbVj0vJtUc/FsL10KJk0zbrtNmRefLFSYbA38ZGEmuf+kwtVXT68N78Pz06asPV0Ug7FCgBjnF3IVulv7aBJoQrt1Nm3HsiGzkZCVdCM+Whk1UZ0zgGUnEhl2Yj8QJpyKlY8cCVqd+1QTFy7OVFqk8nl8PZCuACQqqK1c8zgs181KgAAIABJREFU/ZFIzxDt0Ndkv2xhtZZMF96X9ZygVLf2m1SgbD22lY2zUFJ5OjSs2kWRmh7JYxQJgDBc6gm41NIvJMDLBZcsjkJbjA/Wu3pg0/334eAEgZepTz2BsxhPeisr3vE0aLbXahs78eTbxdR02ygzGW3grMUROO9E66k69vZj6/ctpArvZBykgII6gn0l2QXorCWbjTPL2GVLUffTdkVWNNJcEJMag4DYaLTn51tsNoLRnjOYmJAiBs1O9jb54otCfPpZmeLT0tSjRnFFjzKp0keW6xeFsiC/D5sQ2VRpdXyRCuP3qnRsCCXDbzihwvgkTiat++JhudJPO6vxAeM2rUkUfcmGe+iuufDy2Uy2y5cm/TCoC2QC1IOcSDtPHqbltflpV63CcGmmN4kzm58Pk4piVArI1Nmt9/KYaHPGBHd6fA4WnnSL/rqS0ULFJxe0QUhPCVDYLAK2GCQnR+pdovj30Ccln7HceVwsffzFIZoL9yJ5ySAC5nXSA8z2cyvLnN5vmWjW74cQK35Po/VxYkI9Lr3gbbh56qv7nt8GwuuHCrIVvZiyZGAA0jM3IhjFi6ah4WtKOQ95Y7CxQ+krj2GAVqCUXjInB/q5EOFz4+rtg4D4FPRW12CI/90XlYyimVdgd6OvTW8gkRhNpn+FvffLaOejS/DBPjIh+4zK8PK+EJPji4a0OFtF3y8uNL14kcezHzHUraKnmbUmKYmL6NkirJ/RjMU9GS+9VKr1NpJYPv2mlPOJWqvG28b7FXbQvZQjxjEJxtFzESlSLWU0jQQVulmsMfaDcTbwIozTQHrpRdNgOYLSHBcvP7zwnxwUl1kvULnwNbab8d4iPUtglHFCXKDJ2CrX8c4rUzEleeJS0tHuoQHOmw6wqCHy6woWcgyAorCUhPUixRtDkyLAgnvuGRfwL3ONVz4swC4j2blhu4XFTMNsVitznVNmBEFNCVZosCceumc+50CjFyN7NC+QmVOA0vIWjrUj7JdesjG6mMAWxDllVw8B3gOz8O0PWZhC42IvLw+EEwx/6PbZyOY+P+DQ3D8873blcUa99Qa6Gepg3pKG+D53bSPa6or4u6/GEMdM4+Y/5IdF2nkWkqNaAhhPflKKdiMjYfNtXxxeC83GTy0ivj34/Jzwu9+Nm+1iKDLKn/Kcyru6hfO0to5+sg3VlAlrlP4Ro/QOgrTtLMTI/FNAFUd9zZzxXjoOvFg+pWVImeiUYVzfnwQWJo7Rdhx4OUYvjDMOy9nAixyTlpPJeoqONFzE1HcyxreiFl2scKgjWEke9gz01/kixDXYYfBEQILUCy444iwXQ5/uZXTv6+uKGSVqu4on7+mocE9U1WuVQT6PGnPjeEDDtlJY1WjsHMI0M2Ozq86Kw9JZ9lkvhu3Iy6SKLJYyThAFxLLm/yI1inrSkAccSEcyMEbcyRiZdMYZSFy61MSt3tr9tXNPNTb/6a/orqhSrp33YB+8elvhn5iMrvYB9HYzQtKFpnU0reqtt+4Y7peQxMlaOA1zWUklKCWJINYWPpHU5aO/CR4EhbzIcOmsrkYXz1smfnE8VhooWH8ExNyQyRMRTKAYGNyH1p51qG2vUvxY7JkcGm+wndXh4opLCdRwosjjlGMc4Ftaqr1zmF51xpxoHKAW+i06h4q0a+t99zoFeFnyz0cRO6jDaj4//laox+YnXVjWStlRqVKBtteuPy8R87MiHX7u7G1Pfr/39ddRSpPJ6v2FaGtoZ6Vcv/BWZEWhwWRrjaQW+FOy5UvT6TACLO2UKg2Q3WJo7qyoh3Eifyq134ERznW5F2nW3/++lVUt/T2jITBU3ihSGB1mzIg8vMBZ3J6D1LxNjOIOtsoOGiQDZ9vyK/HJRvpZ2Rgb7r81iwt7/SLi2Vf2kFrOhCArYMSZJ4fhtNPW0wPKTIqnOQcqj9Odco0GCHpt312LbzfXoL7JdiXSkets/hkfxvomxXozPlbDCS7TfqxIQMazXfmOMya4s5JycfX19zO61hepXJSnME1HpXJ3OqDn6DnKgqCvT4OXP96KhoQKNHOMlkq1APvWsKqBXWEo2MJqKwf1DDKxHAVf4mNrsXDBjwgJakVgcAnvIzJcusgofG4Qbo007OyJ4LUauRfazpuHgp0hqP18A98bfcp9JwwTV/6PHDOJgJS7th326fLyD4BvUjpa4Yc2epi18c/KeVfSaNxy/JFUo5lTZQE4IslztL8MnxO/nbLFkajkAllIET40qA8hEB7ItJRJlC/8lvvws+Jb5uh+mkpKsFvAYyuGusKunX/nnQhnwUdaNb3G9r36qlVmyRQC/gIYjwbivc0F+c4c22OH4ZgDyZC95+ZMSlD8xzQOyPVq53uylQWaZqbFtHKMfZHzhVQCDf6OdojZ54TvVMoAhdvJMo6k3EwS6AJY9DCAli+/no09uWQ5j7J9jcugYr46OdU6ABdJcO7eVVPgPyyPGeeh2v1a9TffoJ6myG1kctWI38twqIOK4JpIro2vnRT5RII9Vr+X77dX4cMNtXyuTQ9HANhc+rIIU2VWsg+CycgSk+6LVkzC6Scl273OQ0MdTAZ7HgdLOb8zCnmQQkIXQQQPPgcdw75ie/acjIqqDITTWP/aS1KwaK6e0fMZzbYoooWWD1LEtq3Qvv224rdirSUOtSL8ymXwOmUyBq34QNmSHG3Y14iPd9SDxByLJmmN0VteR6pLC59jMpyNqm0pZLtMscN2kTmwND2rkICKAqKo9cAKUxRFztlG6VUTC2wKqGJgrbCPnFAPcMp76TjwYnlflEA/vh7tlooR2eHR3re9/R0HXuz10P/w748E8CLdUdbXicLmOlZfqvly01dYtaQs9k2KxCApkTKOhw2GwtfNMrnFvDvDmaCQQVaGPxdjR6oyabxPYXY8+599ymJitDYlxQeF9IoYGl5w1PF7h2i0yDXz4RbGasZMxlXmMOnIm8aMiay0GqpYEkX6B5rLjfXFLpWb0h9/RAU16UoE9/AbZZAvU5HkSJyvvRZFs0RvHx8TPbtXWBjSzz0XsfPm2ZRw1VNX/vnDj6G2WqIQ9VMtkfq4n3wxBg/moC8vF75+A+gpylMmyMZ9IZ91p6+NX+pM4imdiI31Q7dolLukw0ynbZKaJEwV14YKTtr536wiqshy6uG5+XDS50sz1tFiNmURP+POu7Cr3hW5FSWYO3kj5S9l3It9qrdx32l1XsgruZhsmXhlIjE1VoWz5kQiNTYAO7hIed3NQwFdpDkTeJHtZbDzbmDij0riVOy0zXtq8PbX1XaBJTnS269IxrTUkXQxe9se7fcDZCDlkL6958WXUVtE00ez2U30wgVoysllxbxfkW2F0LdCyn1evJ4+9MJpG/YgkkSJYFZRPehBJIBgFr2bHK32OnL8335bgv9+XGIyYW2h7MaVk7/gED3tPVHbgIU7P8JgV48iQYmONE0BE7PqIU7EVQT0Hn9hN/1erFd40yYF4I4b9Ea75ZXteO7VnOF73PRI58wqxUUX7OViY8THZXCQ5q0DD7Jyr09IGm9TAJc9tTTOrbUpdxrvtr29WQVlUpHEl9bU97Fi6FhSkaP78yWDJn/PK/hqF2O03QId/Zrp53QdWHlGBda+9rxT76PxHczIt3oo6dmq3YlcynWamPijT3ojvqzWKT9iQCoLKZfKABR/ygQYVmilCfgxdXKIXfAlIa4aixdt5DbbCZ54kDVRz0o+E4nYPH6glOo7yoQIwmg0wjbVj4VVQ9NR1MTocg8d2goPQsPFmbBb5DjEI8uF7DtfL5oJd1KCJJfanbLO+FTootNRfahJ+VxX8jyURy+kb5YpgycjLYimuvbf8aP1q0sG+4LVe5HrCiDh460H6uXnaiZBLeRYP955gSzgfmKkbbuVSFs5Jklbm0mZkWxfPivx0V1kXpo3WbQvpbeLvXe5jhd7zVt52M/UM2uMOePtRkWocNdNmZTEjU+iZQBhfvfAA8gno0dJjRtHG+B5i+Hs3ymPELDFeFz+4ON8snjq7BpzZ06mWT7BsWLOg2y1k+aE4dLTk44oMKol4JL3t79hkJKyWv60kCGkPF987wQL68XsXZvEglQGAQFH2ZflNFZ/8h0GMVjxtjpU3oYast1i6I+XFeejMCEFvP7jA4vI+nWM3fjptz/Ax38d5xymRS13FoAamiQ1bmQetXPHBQw8mIHfrZ5jcl++0duP/No6eDz7NAMT9DJCa817Oo2Gr8nCUKBtwH6Reg4lR+EWz99LX5Qgu4KR9mZoXERDHga3fA4fSsAzGW1t6FcPzgeWPfywkrwpTW9ePoTm1l49a4UgSxvlPy1kGzeRudzSqlbYxyNSIOcAK/YeD2cUBI4DL5a9XIQp9rr+iPw+HZZR5kdkR+PY6HHgZRyd9r/yFWcDL/2cSOZzcdxCumtPK1kv1KQat0Ff0pPT46GlH4I7zUwjmd/uwQmitebJwXgK00xiWR139MU30X4XL5PnXstBUbmp54L5dtMSfVDOl6h2YGTRIROdfBqntdADQponAaYTOZnoY1Wwky/G/WV9yMwKhT9N5QwTxWvOScBCo4r7WI6/l6a7pd99h2pql2VhK34ovWa+K9a2F0ZNtj8r97akSGJanEoAJoLO68b9rsQgMuK5NTtH0Sm3KT4pXBtNX4SigLkoKGjG7KB6RGW/R8p6LdyJrnmRqmrMMgliDLO6TcdFrTc1yMGsStCAl9syn4R6Uv/cW1Os+H2EKikU+kmjJ02Bo5imIebMLBfZ7K4GGqHWaFTQnXcT6vs9KDNQ48SsTaTjHiD4MvbKf03D2ZgRdyqmE7CQiedWgi5vu9Mc1egInA28yKan6wZwAwELR7yMPtlQhs+3WmcZGXeULxcud12VSqnFOBe1wxtrq6jA/g8+QEthMSrLG9BMr4EhM0qRMJX8YqKVyPhQxuRKdLShBRNQ7WVSijdBtECjaqMwmhb99rcIGadJsflNITpu8XZpMPNbCQzmuEPQo6NrCL68J04/+F+4c0EsTeQWs5m6IVRtQ9PxvvO+6CLl+hdSOrLmbca82vBsWKVUGWOVz37wcQGNbBnJbjQp9vYawpln/hdhoS3IzAg9vJjRaZbB212/j/E0qV7u3FtHhks1QRH73j9j2YewFxIJPPb1kdFI5pCJgmwsG7LxWVmELJkTjmh6RN12+73IqZgxIeBlekIO1r3znJIgday0rertaPYie4TvijJZiA3HmouZroAaYjw+1OGJivWBKCvrJ6vKFCjOIBMrLNT6QjwxvhqLFm7gNkbM2MNCXBAQKCkcHCt7PODzvCtcyRrs7Q1VxsG63lQCo6Vo9I8gABMI/xA3dBE0N6TQGfrNneO4p64PAxotNN7kTgjwERKN3oAEdLfI/lzowXIZDmlorjp8n0cTOBCW0XhAEXns0uL96fMVgG8pD2ujt4sBbDEcUyKB6bs5njgyNtq6/odoXp9P4Ngae1SkD0s4DvlxDJMmxY4CAhjWIp1n/OpXiOfC3ZGmJsAmMdMFpfZjpifz3G8mE8SeDGW0/XYTbOgaZYHtyDH7U3rjR7Nz47ZxSwU++oLmsaPEd8vnY6J8cMeN01m4GMTfX8sfVep7++VSFLD0DnHkGB39TMXHH6OZ5ukDHCsryHbq4VxVmg+BfynqmN+vs5j2GEPGj737WLxXnn7nIA7VWo67km6Ws7+RrnIuOGFqAPooMZJ2+omxuHDFZIfG++raTvzrxRyOj2WYN2cTU8v0z7nIY+V9VVndpbDjDG2AEfJRAXfgjFNONNm+hky7Vx77FyrMUsqM+8+N0nHcex88AnuQOXSA/k7We9d30BdLBkRyZAoctZCB8++Pi9HId6uhUZSPyM2vM5VL3rFDmMTExXAy14SpG3nGeRhMnMk5pZb+KpzLElgRM1s9sCLj4tEBVuzdQ0cSeHn2tY/ww1bK8wnO/uWBX9JvTh9bb2jyO/lMPw3Rf3nl2bjobL3nlLXvVdY04MG/rSEDqBtzZ07BI79Zpdy/1j4rwPnTr36ID7/YhB8/fNJeFxyR3xdg6hHZrr2NTsFBex/52X5/HHj52br+yO/YmcBLNRfJpc3N6JMXGUdLxcwRfaQpmlGQubDqT0+EmvHDqkHKC1xGFh6GM45mYs1kSov8uCg7mu21d/djV66Yn9kmzkpqR79Gh3aFqWHahE66L68RWhrMnTArlKkoekIKPVuRT4O5fk5KZ84ckTZEhlDfe8M0sjHGn17Swhfopj/9CXV07Ddf+JofXwAptWEEVsyTaCxOhAu/KGq4U0j9DBqejLRzP9mUgQyRcSPSqv2FBEwInrUsWYkNe3vhzSrGzPbvoK6vhp/7AAK07fCji7sL45j5/zRpi4RncBKCvQeRylhRw+KyilGEVXV6vw1pCtvFtROdh/T6S28yXgID9BPvSE6Awig9auBksp/HISbBxovUXh5XeWMPKfB6WdFgVBI8VlyDlh79tuem7iRbZTdrvbYrPcZ9IevfMFLakyJ84eW+hPGqF+FHHufHVtJmjgTwIscyn+DL1fQusAc+yvP25mfF2JLrAOOJ1O47fpFOBsr4qtHFBPxKv/xSiVMtKWtDa5cWqs5q9DZYAj+Rc+dgsLYcbgOmE1Ifgn8x4sUjIJpZk+d/5qpVds/ZkbFh48ZDWLe+yAT4kO9dflkaenn/CkhxQsWPCJKULiPGTmyUCknxep8FHYEhD2r+hd1laO8ymnrrrkarlWs/H3c8/JtZjAX2VfT3T7ywywQImZZRzSSlL5WUrclkBYRzLOQUmuvje2iqO/ZoRQFcDhY146sN1ThU0WVRaXSkn2x9RorASfQxUlNiV08fK2OweSLbNXzXm15JJ9I49aQlCWSB9HESuB8bv34WeVUzJwa80OPl9BWr8aurp1JqpF88/5wtV3MAFe6MaDaKaq2gz1Vl9QhzynWQKUY74xkf7KKMh2qiWw0EuRpo/NjTp6fOT6aBbES46SJYAV0WkOkyZCpb82CqXnwMFzquetNYz41+8Pi2Dup2b5R1JKNhTzF9uCgT43h2KCyVcbBDiIghGHnAMibe09+HqX1qsmX07z05FreoBPT5RKG/oxs6lT/qll6Nclp/edNkfSZTjGT/jjTFr4WFinRWwTPpJ5FJSUoQjei/5SLjUzOAW7Yn5Y5bmKI4jWyX8TZ7hrqTKR1KI/tOWj/HuS303upv4smZNZGkLPrNb8Y0Vok04vm1OSirss0AMexmzvQwXHvZZM4R7Ht+jbcvxvq9g4VNWPPmfhZORpe3KpKpW2YigjJzaZt21+Cdb2wzM8MCPXDfNVMUg/Ij1dRkCR+gkfIgC4R9HO/LGdE9wCKWLdaLB5nBC8kaCuT8ZbT2zhfF2LiXDGQrraq6g1HP3ViWGcA5hP41IxK6h++dj8jhvhlt2/Juf/vDg9i0Q3//zZmZxzkUffzoxRLk744OGvS2kRki8zLDK0yewfjweCZI/Z7y3hHD/+x33kH5hg0opBaq3QbA7736TjSS2SktRbcHSR5NBHesFwMStfHIdJmiAKAG41op0u1kQe3NDTWcGwwo8uzYpjy47PgG/UyxHOTYIbLtuAB3gjuMG1+0Ep39Y/d8PFL3iK3tHingZc++Irz4xid48Z9308OnFn96Yi3TLR88fBh9ZCFe9MuH8d6Lv+d9447Lf/UHvPvCIzRwr7T6vet/8w+CnZdgxtQU3PWHZ3HZeScp37O2j9fe/RLeNGN+6c1PsWHdv492lyr7O4Csn2W/05D3s+zXkZ0eB14c6aX/0c84A3h5kovhlRykG1kB1zHe0Ljp6JDO0Dv9TMmsaeI5YUsIR/BgEPyZKiPNi0CLmKNG0ethIpWs8VyO7zdV4JNvK7igtz2ZUJEtEBLshpoG2waV1XzJ+nlyAku9snHSQxcZIPvK+xDHFI344QWdHOe15yYqrBd7FRVr56TjxHz3K6+gkb4ufZxIdBAcETqttTQj8dwQ4MJaGoOt/nIlBTeBuvVJnICWf/UVGihvMjShgRYPRuGr/jmkfpLyHViGgeyR30slxpcATKxHF1z7uxGYPgeqATUmTw47zGAxbGs/2TIGBo0nJxJ9VYU8jxHWURCBF7+QAKTT28WNaQ4it6omVbiXE2FvAkOelKrUUddby0qJxkj/rGw/fRZwwnmHDd/SYooxN20j6y/WJ0nKd3i/BnHxHBfqjSCyIgzXpkwTjfWa69DkFkIPI9OJwpECXuRwlhB8uZJlYHtMCEkVWvNREXJpZmivJdEQdTXTFHztmPoZb0cWK8JyaaakTRhTkgZQfKhDqUiFBjDCvPighf9BcFQIoqalo40T3OGuhS9lY0EJCQiiSXIfK/AC4Bg38dRZcO+9CCNQOJEm/fHPR39CVZUpgy2IMr+HH1qsAJ7v/+UdxHz/KdlVlougWZkh8OUiYIg+DyoywIxbFzXlj7+4h1Ie6wyq5QsjOeHRx25u3laJ9Z+VKr4wkj5x1hlfMHmiTNmcMElmTyeTCvPg6XL1mMY9xfeJwOWXNE7dl992OH1hIn1m+K7MyQVwoV2uYuaoYcqXM5sXk6+mZwTj7FOSyIDzZzpHLx5/KVcx/3XGBNdgrivj0I2/mIyZWc5LyBprP9Ro65DtmgedmyVYX0E5mgK+cDHmcyAWjftlATOyBzGQlYq2gDAtTEWqp6QgPNyXEjkfZVxKTKgh6CJMF1PQRXnW+PsoqgpVvgcUNs1Arzv8X3RHQ5EKZZuZBKQeYQ22hdAI3y2Y4A0oUaB8iLIjQxtU+aElMAEh6kbo2ppNKtBulB11ki3T39GDHhqsVyafjBjGcYvEaLTxSu4vAVsk9jkzORBTCbYEE2wxfKeVjMZHOZZ3WDHZFibgjQ6A0aNdJ5FIVnMBaq0FMPFPDHU9hgsiB+lhdYjeIBaNJzGfqYARLGaMtVXVdCkx0/VN9s2uzzo5HueemjimsWGsx+Po5+sZm/7Mq9n0yxr9uAVMu+vm6QrjzPD+lPHqpXWFyC6yjFA37H9hZjBWrUgZE5Dl6LEbPneIzKW2TZsUplMb2cK1ZGvK+8yXY7zMk8xbIO8H8frxsgH0/ZRTh3e+qrKce3BDko6ZQ/+/hDDKaCm1NXixLZobgVVXZtp9p8uxVFZ14ImXcxWDYkM7edkWREXl8x7lHJuyJTXfde00kjXIu6O5P1Y9MXXKfIQHsWhA6WsFPQIPvPGG8o7u57XIJ/gh4Q/GzYvFto5zVpCtrv93lkmRrt2OWO++w8dqmF8K0COgSmLVFGiavZU5XDs9VhRJEEH0Bm6/oIGJajTAnl/2Ebqqa0325cmxefKKC1DKeGpneLCM9T4Y6+ed8V6yJjV6bu3HLL4E4tJzT1QO6bxrHiTI8gfGrOsLsrtzC/H+Jxvwz4dvVv7+pydex0mM+M4rKLP43lvPPYwLr38I3733L+WzX23YiQOF5fQ387K6D7mWPvzdSZfc+bMBL3kgu/VnaFmwLDD8DIdhdZfHgZdj5UocgeNYTRPSfi7c44wquWPZTQ0XTM1cRK2SF5INky71IBfDLpzgWZm364ICoE6NR7hXNL1FFmIqpUUGau9YjmOiny0+1EbEd79N6YBh++k0RSuir4vVkxn+UBKd+4MYxZeTY7qw1/ElU8CKcWvHAA09ww7reqO4uP/tdVOIOltGZdo7r2yao9WQAm1oMrHpJOOom5IjST8yzN8lcSGGLIIhghbjaS6io+ckRfxGhoZNCLt7tNgdvAxf5Xsi2LUDSWWfo6/TUqIlcqMZZ52AYE6UU3U1fAlbAlvdjN89QAbNAF/zrrRr7C7TL0oNTaj4005ehKhQVq6HNQ59pMzWsXolkcU9rl7oC4xEryrQwtRO2cb806HLXKRUdKVFBDVi6dSN9D+o5N9MF0PeXAzEh3nzMyOLAPlOHfdbSrMFDVTIV6+ifXA6eow04UcSeJH9n8xEsIuHKfejXcMesq6e/aAQpVVyn47eZqYH4qaL0xya5NYRbDn44YfoG5azKYbSBMwMQKUX/VJ8emtp/DwSM+7BKpn4uoQx5ruLoKAwrYJI6fYlfV8m45Io4ZOYiG4rseOhBF/nk+Ztj+kz2hn+9FMF3n2vQPEjMW4XnJ9CqU8adGToVT70V1TuKbUqnQkmQDP5zpXwpc7fGjAqPirvfVJiNblI9ncvDTJTJpH5xnN9+uXdvMc7kJzUgLlzPzMxOJUo45jQe+DnM83eJVN+L895U3M3vttUjZ/2NFq/5x3akvUPxUd5KayFyro+TugnsCErXxUJZvokf5y2LIFsH33fdHb10VdrP8qHATJnTHCNU408OAb9auVkVn9Hr1o790z1W+vQdWKbbhc9Lmx3ZBW9IRq3eqJtB+OcjeJ4zY9Hqs4CWInvxtSpIQgKqUJ07Gf0OxgBXWSslCZgaD8XRe6UacbHkoXqon8fdb2chq53dqK33YNAoNGiiwBHaUQ6OtU01+V+ggOYAlJSBAV0oaSI4SnwctUhrIcLTCNQXLbpmpiBDo03mSG96Jx/Pup8J3Gh50bWipfCVvShqbFcZxkPAikjnZocQMDFH5NpeuzHRDtzgEYWA+sp5/zBw/Kd6Mbf3ccxO55FgfE2MdTdRUNda0UIMdSdRwaLAUzp5hix+f/+T0luM28xixdjxsqV4x6j9he04PUPDlr1gDLf13WXp2Me2bITGQ/H21+G70mCzvOv7UWRDX8r4+1fQtPYU5dPshg3mwiwPrqW50yWhq32y/OSMC/ryHn6ddOAuIiRxoMiweJ9WceCghQT3CinCqIE1hpgKAEEk887zwL8qiUQ9dS7BfQ3sn4+dfVd6KT0eVaSLyV++veQKKfvIhMo1UEZ5Gvv5GF7tmnUubvbAH5xyVYCKJRPD5upCHgtwI6KPlxhfO7EhDcyUkWz93Ogaz8V2+nTozHyAOwR8EXGiWGfOg++i/vvuBNdnvpnS2Qo8p73G6xEnEshfPnZnWZ6AAAgAElEQVQM9JJ51yeAC/ejsLnlg320DtiWSJm96XuWblWoG9LBr5aef/t+MAF65WviK6hZfi1Cab5tjz010XvXGd93xnvJGvDyx8fX4oT5WTh5qV6ueM0df8P/PXAD5eB6L74vf9jBCPFSPHDbL5S/i2QoJiqMxZZDFt+7++bL8Md/rcX6NX9SPruTSZMffblZYbWMto+fE3jJgWMyTWdcQ+NtzMReZ2/Sads7Drw4rSuPvQ0J48WNL6CJON6X0DPkGjIOXK3QcOWMlTSHoX7G01l/MXmEhSLm1huw4MIbJyS5GW/vSpXg6VdyUG3HE2Fyih/KqnuI8Nveky8nmPfenEWDQh2eeXY3Oodd5g3f6CDrZX9ZL1RkU0yfHnE4OUVYLwv4d3uMBuM9F379NUqoV7amOddygdtBAKZPrglfqnHLlsHFRrSzI/0mTJpuMppEHhLOqpCO3jZFday2p1+IOvZfUOFX6CkRLwHL5hHKav5JK/GPPy+HK6ulDUxZ6KJJr/lKt6KqE409/QRdCixSmTz8ApA4bz4Sg+hRMFyJ0ZAqW1bVRNO1tmHdME9V5QNtKJlUPkEWi9GhUy+HJm4K+oYXNl4evVieRYmJfxEnD/1KYkZMsBfiwlSH41QN928tQcUycbgcbjKhOKi9FHW6+egYTh460sCL7PpsnRbnEKCzx45q7ejDv98qQAOZSPbakunBuOoc2xVGWeQfZLW3igCfYfEhz3RBSQu12KbbD/Z3Qf+hAuiGE6dCg72VBZgbgd1wStdcOXHzMKsaBrBa3NtI8MCMLSf37Zzbb0c0x5fxNDnufz66lV4ZpmwaH0Y5P/LwYgQH09z5pZfgvns3hHHVLsagZgrDvpg4JP39ASaSxdl8Nl+gZCBXkovMnQR50Akxvrj3lhnKuCbmii+tzcW8+RsRGGRKce3plrSph6nfH11aqRhmdvRi41Ya5zKa1tg3Zjx9ZP6dSMooQwPdOc5RJGrFIHIi+xDWxvQpQVi2MIbpJiPyUpFnPv9GHopKR1hazpjgGgMvctyytriTss4pac4xlnakL7Ss9G7V7ESHl+0Kv2wneIDj1U9hWPdhucPRpgmMjL78ir2UcUhUKqvMNJ9sZqVZkrr6JC1JjHollYj/NyV5CN6qIjR9lsKfQgSUszJOD4Xubh8FoDn8fgqOQqV7qJK05E6mjX+IKypaWFEffufJQstHR/Zidw3j402NdN1omt7ZQxNafqbppGtR2KhnBAqAl0BPrwVkj82ZFopl82OUxetojNZqvmQf5zH0W2G7nES2y8UOsP9sXR8ZF7ZyAdpBTzRrLXb5cswg69bwnrHFjBGAZukjj9iVoNi7TzZsrcKn35Y5tPC8m2a7qckjMl1723b27197Kxc7spvtshPmsbB0/cosm2Pm1uw6vP1VpU3A2Ify4gdYjIpkGuaRasVr16KDDBApGOo4OFTQNLmH8xy/jAyoCAhYazNpMhxjBMwI2+PJt/ajpNq6n5aM1wfp+zd7EqWavSPP2VTKBW+7aZZDIFoJUwufeW2/RYqemJBHRhDQmfE15dlVyuGKz0wXx4JIFvMO15M47s2eGY28l3zRWaD3hTEwVrRk47TyHIr4Ga07i1c3r0ZZUKQC3gjgIn/KUctzvyCmCP66BnhwbmFNiu9RHYL+faEWRQhXDxbsdr+P5jK9f5pxGzrhfOwZSMSyRBVIjlbMxY/l5oz3kjXg5a9PvYWFszMOAy+rVv8Vf3vwJsQSXJH23eY9CuvFALw88+pHiI0OU6RG5t/77eqVeOjvaw4DLzuy8/HxV1vgR3/N0fbxcwIvezH3Z7nss0F5+THajgMvx+iFccZhOQN4kajB6xcswAAr4S5cnAszwrzpiHr3cXE7ZBxLx5ddWGoy4ibRYLevC6pzrkT0WVfYTQZwxnkbtiEvlBfWZhM5lshX21uOi1Yppl+Up47abr4qHbOy9HraTz/Nx9ffVJgsjnRcuxdQsy+sl4QEf/4wqljo4PTceOjGaQ6feyUnDPvffNOmQa7hIMW1PpjXp59yDmHAjKeJnKmJMZqGxbRQ0dU+BFMWX4TioTQEdxehY9tXaOfE37wpAMEJl8AlJg2XrUilmVy8cr6SDFFP4KhbUgWG75chxjLv3XsArSWmbBfZZtC0WdD0uiAj2R/BgYywJdhTScq9gCgu2m6CSh2Mr24Y2b2vHwZCo9HvHaAsIgzN9cKb0OMfRdr+yEfnpe3E9OS9SIoaRACjjo1BDZmgVHJiVmUEuhifY5mOEizN2Wgn+LL5/vucFic92nW6ZECDk1T2kzwqazvwzHvFo1YWDfs5f1kUzlgSZzER7CYgkktKvkQ/GxtQSvJXeVW3RYqRBytX/uomdFdXIYAG2j6MzBSz3MCkJMRRsiamyANmRo/y+wD6JHRYSRYJIiizkODweGSHO3dW4a23D1pEvJ9xegIuvHAq1DTWHKJsypWAZDs9FwpK2kyeVRd6Kuw89WpoI2LxwDB4Yu261LHi+eSaHNKsLcc9+fxlK5IU/xJZyH3+zWb4BL3MiaspM6yw4Hx4us3Edb+YavVcFb8spjBt2VnHSVgNmXnW9zWe51u+ExLohpgIb9Q0kpHHWHh7wN5Y9iNr5/Qkf+XZn5IWZurJRNBlDRcuB4pNgQlnTHDNgRc5ZhWT1m6/bqrCQjoabZd6L+o8G03fe2Y79hr0oEHlAvh7+mPjpjKs+28p78PRvTMEdFm6jJ4uaIc/DSqHXN3QzUq0Pu6eP/RhEZaX3pRyiL5YNBjfRZbU1zTOHRyAD9dfqrpu9HSqyFgzOiDeo2WR6WhXu0IblYjSlGWIryBQXq03IFVzu7LNRA8ybGieb958shbQa4IM1+BY9C69lPe0G/zZ564Ef5RFHIfioEBPTEunpDiN0tHk0MMR34Z7To73db5odzA9yWL7BE0epEdOyAQ80Yq//x5FZO5ZM9T1pGfY4vvugx8LSdJauRDfTl8za+/O5HPOwRSa0I+lWGLrnntrfT695ZpsRtQbvieFnftuyUJU5MSM0cdz779Dj5GtjAm2tzhOivfDHTfNpCGwbUaSXOPX/luIHQdGjKDNjykjyQ+3XTF5XGO/I+cnhaRCsp6Ght9HIr0p53xEfPICs6yDRu4qFRbcfz+CKW+Wtu6bEny3q8UmECVy7FCyn90p+TGAFcJHu/n6qZQ+xjhymJyf5iD7gKWMUFI1Syr7aLbdiJNO+I4sOD2jrZepRUFkkclz6iI5jhxKhoo4Z9qQgy76OnV0qRS2iqSoGUxrdX7uaL12FXanzbGZ+6hiQMGiuAK49bTBnZ5u1goN3tmJaC13N5G8RnceQHf292il4a5xxLZnZBTyp10GkoHgRTb46ak+nEOOLXXSoQ504oec8V6yBry8/NZnTGzzVbxYpK1Y9Vt88PIfCVrrpUbCdnlj3Td47JFfK3//w2P/wWnL59LXrdzq91ZQqvTtu48pn/38++2Ug1crkvLR9vFzAi+7scCJV8nxTc0FgddjtB0HXo7RC+OMw3IW8PJLylik6Sg9GszPp6eHZQVAM6iB2oUVcr55vCkZSZyRgQBX/l2tl7+4MJY5LOtk+K66QYmbPRrts29K8Q3p+upR6N3+fq7wVbmhnpW/0dqZy2Nw/hkpI4wMTlL//e9tKD1k6rchr9D9TE2SSeiMGeGUHOkNAq9dQa+X6fa9XurZv9kvvmjfIJfbnMTJYQYnhyITKRGggxNJaxPO0c5LZEsdpTS65QEPiCEbTdwGGaOso57fJ2M2NOUH0N7YqURDCw3VuPlMZhzhgvN4cfUmi7deO5VJFaHKAl8qj5J208CEgV5SvzvIhijbvQctDZL2MAKWSLqVT1IW+ls6qbF2gyrQi58V8+aRPbnSxHewp5WfMfNt8Q+ENowAjLtUdnkKnt5wv/hm+gYQkOHfVeK3MSsEy6e3U+b0MfXSI0avMjmsIOhSbQN0Mey9CRko7LsCn/zuL9h3x11wGZ6UjfX+HWI/T33qCSz556N2v3oNZUcLHPBmyS9toeyohJNlu5vEdSsSyLqKOrzorsnORv769RaGkt30NskTWZiN6lSgvySnlHAhST8TUrdDCJ54MRXDTWRFBGCsyYp8+e8aGhxqrUShjyUxxHCWcu2eemoHq42mRsOelGmIt0vIECU0ZPq5Sxz7cCs61EpdOo3/hte8VYtOxc7gGcrff3F+MpayUm+L5v/l94fw5YYqq+OIeHQ8dMdMhIf5k47+PvIPrWcy0MhzotWG4vvvL0cXiTmrb8xERro+OcvQJBp62+5a0o2rFY8PZ7YAjm2xpKI3KSkSOgsgbSL7klOQWO7TTohlclO4Rd/J8//ym3nYu9/SDNoZE1xrwIucj8Tc33T1FC78jyzzpUR7CPluTGZzHQVE4Rg2Tz0TMd4j5pfbdxAwfL/QxB9MjlskROIHFBXTgDnzf0CPpomGx4OUGYGTagKeRl5UhFsU9pZUtCVRpXF9KvyKvyEAMryA4++CqwYwwPu9p1dlMt52BoajLH42diSdTRNzV4S7tCGz4Qe0VdfTw0J/LjwMxA/UYKBnhE0mZqEeNEYPmbcUfe2Mkp1zKlrCM/lOsF3RENnZVJpLCwNgShrjsinvLOE75kUXt8MeE8b34IVk/J3Cxch4wY4e+oJtJZCiMXrujbefwejoFLJDpcn9ueO559Ay7E1l/DmR7i5l/K0P/3RWe3LNXhqVd9mNmY6J9FFipv1pdny0msyTvt1YOar/nRyLSDPvunkGzZ/t90sHF+L/eoPv/zbbFOJLTonBqQvjnAoEG/dZ0WuvoXPnTrnYyj+3szhVy7mSD99ZkrZnrfnTm2wBiwEHOYdb+1mZzZQmeQdpe3oRyPmueHsZWiyLeL/9zQKHjKcP0MT45TfzWfAb+b5s15cJcL6U7DW0aAnS6ihfLcXc2Vv5fHYoIKsCfnJskHf0UIs3mv9bQPBH4uvd0NSUymfe1PTaKzUTTRdcgT1JwWSn2/bySg5uQGwwwxPaOzHEAANzL0GXPk+47yT40qw/Xm9aDITuex89dfXi9Ig2ztsMTbfsQmTTmNfQEmisnBnmyffgsQu+OOO9ZA14KSipxKPPvYs1/7oXhaVVeOyF97DmsXvp/9TKYoGXAppceN1DePOZhxSW/JW3/Bnv02i3vKre6vduf+gpGnKfiTnT0yH/fd3lZyk+Ltb2Yej/nxN42YFFR2soM9nPAmz7WfbryE6PAy+O9NL/6GecDbwoExaCLoNcSLuYLaIUyRGBl+iZ6YiMDoZrtyWKL9W/sMhMuF3/S3hxMTbeCZYjl0PkBa+9exDddpz50yap6OvSN+rLfwqTGG6/LsuiOnPgQANeeTUXPUZ6Zi0nrUXDrBd/JuZkZekXJdGhXnjwl1NHlVt1kLmy85lnoOYE0l6LmDULc2688fCCR5JPSljtK5MoRanyOOBmJpNPiQkWw14dJ91tLE/Iy9w1PAZ9qnAEeTNto/wQXEOi6LMSwKqG5vCCwSeEgMl5N6BnaIQuLObE99+SSUlF0OHDl300UO6xjUkDHQSVOshmkWqM4aUelEVwp3sIGiInHaTRe3iyiko2hVDoDzeeixtjVLWtTdB0mhvLsu4TGEwJUjTUbl7QUIbkdzkpwzyG8xfEIJImkNJ0g230RFhHgEBMJZmOxP3VDGuf7fV1HwLw/OqDjKTsRnTy+BZ09YeaWC2KxsJ/PI5O0KvGCs3ecByuPN8baFw904FUjx376vGfzyqtVqiMz0sWdrdfNonJIoEo+OILVFISZl7pFaNA8eLp7LY9WRaWS2Jgr5J+FUxzXGO2ih/9XdT0TNASZDFp7OcAGu12CgPKrMlEV6rQYg7oaNu/vx5rXtlnAnDId5edEIMrruBikMClJ+9r4ya69bz8ZgU86U2YhA2zLzlsZiiV5kfulJQi64sduVf/9cJuFJdZj6GfkxWCVZdGYND9CTQ0NaJcoj+HgauyQ6djb06acn1io33xwOrZyhgggMue3AZ8QUCnnkwUZzahqcdHeSvXsY7mnkOjTLbHul95ZOKifXD2yXGYMc26J4U88/959wB25Fgfx5wxwbUFvMj5uLHCKp4vM6YdGcPd5oEW7BzaCy1p9qO1yeoUpHukWrznsmnWufatA8oiXIA7De+vbgL5Xr41OHn5j9AOV7eNty2AUsBw+pvxvzeuS0PD9wfordLCiifBEkp1ZJ2p6qSpYi2jhjukAj7yDffIaHxz8m+wtW4kIjZysAHJFd+go2nknR3MCnhYXw2GiOoK6OJJSaHe88EVQfOWoaO+FQNn3YDGASa5OKAgkGuSwlSjypPi0EyJiQBJ0gxzgAh6g93Pd6dqDOOAed/vfest1NJU1VoLlHQiGqgaxisxXM15+WULs3D5bsaVVyKZkiRnMsPElPTZ17KZfqY2kX9ZO9YZGSG44aopDkmzb7n1Hrz6xga4uI4vOXGIBbMZ06dh5oJrRr2X3fj+uJvMwLGwyfYXN+PF9YesmtIq155jyX2r0jAp/sikkklBqYTg2pCRuXsj50bCdAqg5MjW/DN43mJsHMpCJY1jbTUXutwGDqktWByrLk/D4gUJVu8dw5xH/pQx8tnXchQ2tjDNBGCReZGw2dIn+SK3sJPyWK0eXOHzdd6ZBVgwJx8B/jo0MNlRiMSuWm90f1GHXs4bBbR1o7nMwIAKjY2TuE39/MkjKBiaE1aiQ+2J3rnhOBDtz6w9W+DLEFkvRRjwbEdEK/fRazm+edQEoz83TJEcRXXug3YPjb85RsgQ0En2cS9BJK+oaBwg26XdSH4lx7Iozhu+LHQZDIjH+u5x1uflvpPxSEm1DBGmiCciOD9f+8o/8PWeyRNK27MGvMhxP/HSB/h2024FaBGZUXpyHL1a/oPZWelYcfpifL1xF556Zb1y3/z6mvNxzin6Yre175VW1OK+P7+gRE8vXzgD9916pc3PPvLoq8g5UEoQp44pjtE08V6Im1aucFZXOrSdbVji0Oec/aFF2OrsTTpte8eBF6d15bG3oSMBvMhZyotjgC8vl6oqMln0s64gusWnzMykPISylwHbJq8BOhqcMV0BnNx4MMVmPDIDez3dRtnQk2uyUdc4uvxmcrIvSul3YEU9dXgXAUzhuZ9VnrBQ63rkt9/Oxdaf6kwYAq18DR2kSa90TTITHSQFQgbUa88V1sFI3LTxefQSyNr5/POK14q9JrHRC+iP4cUoRPPWQ9+Xg59+imZW8qwZBprsk4tkkZkM0DFf+myAVRSJe9ZG0/2fi1B1yQEMDLOb3Hx8oQ2IQFOPnmoac/7laPJLt5h0x0b54Des7BtX7EqYLpFP2Yck3PRUVaO5lpN2TjQ8g0NovjoNjQ3t6B2mqsvxhdKLRbxDTKYHnJh7MCa6r5aLCyuMKzF5GAwKhTtf+inzZ+Hs390NHzIxjNsQsx571O+i3DUbDW6jmPmYdaovL+Sb923FnfcWIyraeuyivWtWT8+cf/9zMn7xt1PQg2C0Dk5GDRj56pqCHhemy5iBQO6cmP2aEr4Myo7sta+2lOOjjZbSAPPvhbkz8nKQC8ZKPcPJvJXSp0QSbkZrWWTNTDltGRpYSRwy8xUaEoBl8mR0WZEV+cbFQcvrpuE9Z96mXXMNkhYtcnihs2bNLuzabbod8Ri59575iDpEfyFKDVyY7GDeKphIVkvmx5YTV6JKNwIOyudOWxqNC840BZKMvy+eNy+/SVq1DSD3nlvqEZ+4VTmHvION9GrRsot9sWHDSqaCjSRkXXFBEp8Nb060alBZa98g2d61N/69D00X46Kp5WcFVtKY5DmdSBOzVG8u+N05QxUZaRAp68sWRWHhnFib7CB5N7y17iA277KM5jUcy5EGXmQ/YnB5Oyn/GekRE+kCi+/2DvbhJ+1O9HiNfu0iteGY52rp8yALLkko+W5LJdYxCauc76hOVpcnJbTgorO2sJ9tp7GJlErMbOUeG+LFbfogFY2bCvjfBKbdBpEQfYjsQ753eNQS6epXzoo5t9/T66UAf+5hUdAFJaIsJBX/DVuCLoVZOEQ2lBqJrg2Y1ryJwDaZh8Ju4cIkVNfKAkuDAg6ZDBeu7ghasBztPa7o57PUamqzZLO/h6YGYk8qDTd5gLLNYBpzh5DhGMCFz40uOsyhoe54zWWb+B7bxUW2I4a6UqTY8uij6DIzeZcD9yWjcenvfjcmINjRG+xQRQfeXHdg1NREw7bOODEOK05LtHkcLVwYf7uxHP/4+x+RU5rJVfg4WcQsaEyflIeFy/WJKrbajSunMOY4xuEx2rCdTzaU4fOtjTa3K/5Ad11N35XhhBdH+9LRzxWuWYMuFn4MN7COY1mVzFs5N/CywmhSPM8OtaNr7vnoCE6zyiaVV3VmrDvyck3ZfCFkBD3Ed5BKRXkgHxj5aWzupfxHA4kYl6S8Dhav2vlTwSSjjdvq0dYp74kRX5bQYA8+4x44ZCWK/M/3FyIouJDb6GbRgYybLVq05eYrXaGkiFEKLMfW3x+ExqY4sn5d4HX6SjQMjhSLepZGYV+wr7nd2eHu9PHow6LYInLnehBDKZXGiM1j+JAqO4HzVL4P9r6H3oaRaytv3A7O4/qWXIQcTazFJeKQgrPT/QhWOUDRdfQCW/mc9IEBWHEnyhJOqX80mWSR4SoFaBE5e2iIiuOOF6VbZPiyIPPT7ga8tfYx5FYygcdtnM+SrgO2gJcJnM7//Fe3QM8yPNptKayD8Ef7OKzt7zjwcixchSN0DEcKeJHDlZeKpIa40M8jhdXsJAIvHqwstHPw6XAlVdEGqC42MOGDYfBxIwV63jy4XnaZ1RfgRLrk2Vf3Yl/B6IaHk+JUlBepSfO0Xa6TAfzWVZKWYbty2tVFSu3j21BXN1K1lmJDMbctXi//j733gI+rureFl6QZzYzKqPfeu9y7KS5gDISeQi+BFEi4JJCEtPfd+969uYEkJJCQECCEFjoGY7qNccG9yZZlS5asYvVeR31G3/qf0UjTNZZlnNzr/Z5/5NpnTt3n7L3XfxUZEGfPjiR1VEOvFw7MBCXsq/uyIN3LKr1Ic6ZquogILPy3f0Mg/+uuNVBKUk72i4EO/8407PL82slA6W9u5UA4OOE74BUcDlNUMjQ99egfT7iZOA6vy1sfAvWs5eia9w2XtNFFcyJw6w2ZynUO0wh4+yOPTKTlyMSmhdTLrupa6EiBbWSyilR5rJssosOU1CHbTjRGKrqvt0EBp+xNh2VTfzJu/PhHy76YxNjEuQSndNRtW5q4/L88MIwAnw2I9dpHhsLUC98Q3qcM7vyXP9qB7z104oyAlz/9NhP/59GlKOHLMczO5WUkrX7Ml5WiFLQiBU1eNMf0iicN37xQ9+Ox7yP4kjJFIpY8y9c+qsCWg84XbdKPI7rL4HNwE1OrDChIC+KC2pZh0tJmIBW+x201NmvpLFz3i3sRxMXJTkp5Op0ALHqyXgYJIjqj+wfRj6ibVG/7Jn16+S9+4TLO03r7aoJDT/xxnw3LTP594YJI3LImCqM01lTZxVdbfm/kYvXjiIX4lIlVzqr0v7y/EPGxrg1wX3jjqGI+aR/wpg8cxVVXrKP/EyuMapUS+1la3oGqyiXYd2COAsqKCekIEd7KU700TA2Y0YWGVDsTmVQkmv5amoi7A5Kn+r5Y/7uerASZsIZz4lqYHaLIRSQ9wVVT0mo+KGNlb1LS52zbLwN4Ud4ffgvuJ8swJWnmKuq7hvaiReOekRjI4sIS0wKyN8ygqXzzJI2stKoLJYxnP1wuVW5+fzsGUHqiA+nJ7bj2Mvegi+U+CmARTMCi7c1MNG/heGHlcRUZ1kaTRbn35jFN1W2C9hS9Xsh6GaOxronpRQbKRoVq8OHy21DUKWwY1r/53MLIzsz0aURI6Ub0EkkZZV/y4WCdpmbEtPI+2Y6TXho/BM5ejK6QLPSkLXWZ/GU5bzWlE2UXxqPJKinO8m/xvDc3MLo+LUmPtOQgREf6KwCMp4xY6Xdf/O536HaSnibHiKO8aBYLPZb9naSR+HF6W03oDq06aeG3voWEuXNPG2Dw9L06XNKK19eXUVY49eLz9hsysHBulE1xSvrS59ur8SmZcmIYvmvrUyiu4ofnLAIv11yejDUrUjx+Htb3YpCR5o//4xgqG1yz+i5bEoWrV5h9sma6ddFk+eRTT1E6M8lWlLG3gQUqX6bv2R+zhv5mtU0DyvigueFeNI/Yyqqkry0tCELVsVb0KkxnkWhT9sP3MD8nGJFRgQQyh2lMP0hpK9nhfI9kvJBvs0XmKqBAPT3ayqsdEcu5+UEoqTAoLBjrFkOPrrn5ely0/HOmNR5HxwEj2j4tZpFzssCgoWmxzJlkvO/tjcZAxjfQRDmttWxY/q3t4jiUBbgu6CQHNyE+rI5zwiEyX2R+Zovgi+QofH0nur4ga1a0kFZtLD4RO5KuQacLSVEsC5lzoygnd5ES5cnzV4AVXqd0lwDKMAVMEW8pAXD1/ioEcNzyp59fEIGVhDhz8U3AassfeYaVNV04dKQFB462Keciz2kmxqXzwIvjE9yGiz15rDO+zYXYMuP7nKkdngdeZupO/hPu52wCL3K5frGxyL38cgTs3An1OGigoPymNgz4uB5o1SYVohDBSirZE0zS8brrLmgSEmZk4H3vkwpO/OvdaqmDAn3gy4VQa4f7yc+Vq+JIzUubchK2a9cpvPFmKdHzyUGoTaL8aszsAZko5+WZjSftvTZMHJUPPP+8wiCYqqnoqbGQEeGhjAX0pIlxbs2OHajesgUDNFK19n8ZYmWz9fARdLQbMDI+sHpxMBujUa5/iB+6i8kcsGsCiARHBMKYvgA9UQUwxM5hhDN/4wS7uvGaVFywKA6VPLa12aH0j2ZKmip7fDCQvgT+x/ZjtLmJEwjbAdzsa2AnOeL5mEYGofVllbiCrI3xpmWcbCDlIuZJx5E6qF8AACAASURBVDhYw/8mMyJy1g9/qAAFAzzu31lpPj5u6piN3SgwfQKT2nWFOZi/yeI+1XxuP3lw+4wAL4/87gKCk0aUKNZ4k82L+mwY1RgdC0GnkYsqrxQ0IA2+Xv64lxO1aJrBumsCXj39dimKT9pO5rRMHIuo3YmBkkNkNpknaYFcBOURfFGPL4JkUVhS1uGSAuzDY8euXIM7fnEbJzVmIKuJsqGDTA2yrzDLNQUxqciZrEgbGUlAlkaczY7snFz6L6RccMGU79rLLxfhix2NNn1OJrI//MFcxHz0OlRHj7q8TUYCxEVLrsNbHzHhglRp+zY7NwR335jjpsrcj8eePsRJtS2bZv6cMqSmbUYC9f0JcQHKe37ipIHEmxu4uCYgQsCnkmbFdWS4yAQ8KlKHdEbtnulCg4QUAkXCEmAVlwsbka542uQ18aWsT0ySRfah4f8Wg0hJuxDvEBXfqSSmNi3mwu8TLlSjI0Nxw5UXud39noMN2H2gVXkPZR+D9B8Zonywm5InWUhYvJ1mYoLrTmpkfZJ+9O/6Hr2nTkci4eoijw4fQ5WKsj4awLpqqjEVlgzPR7A6iFKvIRw72YmjJ7tRVtOnSNvsTd6DA6owJ+cjp/IiZ8cwEdU3vJ+OwUOVDu+KL6VP8THyXZzUFvmT9UJnFjos52K006D4/IhJb2dmIbamXsg0rn4MUlJgoC+RLLCyNA2IqNqCQcOA4pcTFTgG37ZqjDrJHff20yMgfz668tagVUU2jRv7huF5YTgYGwz7t06+1isoHRwcl/EJU0kq0/lZIQSkAvmehCggsbwrrqQ/IrEtc2GoqyazYdnPfoYALrKlDVJq8gULAYNOUhpDs7Ox4HvfOytsF+tnuW13Hd5n0pEni88f3lPApKNg5dr3U6L2yeYaNBAYsPSjsw28LBVA+6u502YiyXVXkmn4+CtlLv1SZJsf3JTGdC7naUOeftNcbVfKolYfAwSsWx87axfnaCoraZuYsB+voqRZwEz+f6+QSAytuBmNnZRCi98Sv2kRZKPEM93vYHEHU8NGWLij6bX4y/GBzMoPJ+tkasnsMJmiJWWdZE/avjDhIQQMCBzUNDiyTlcuieTxfWhq3I9LF3yGUy9tgrCkrZuMg/JNl297YGYCunO/y0S/GJsAAtnei3Ol+gtjUO3SxHoMi+PKYdR1wZem7yFSmLPyfNMMjEL/9Fb0lBGgtQJ+5cC+q7+G3aPRqHczt54fS9YJ55KDboqeci3yLQimuXgo588hBFYEXJEIe/m7EBbmhLniR4BFmmUstYArzvqC+GEdKm7G3qImFkAMDmbXMzEunQdeHO/851h1pq/wtH6/Ap9N63dfxo/OAy9fxl0+R8c4W8CLFydBKWQUpF9yCXzJKBDq7tAHH8D7449ZxZeBaBSNaGbEtGuue6DRH6HeIWbatFDZ77wTvvPmndEAf7S0Fc+9etzposr6EaQz/q9iHBRx9WjyMoJoFlvg8fn8+S97UVzcPlHVoNUZKtqHSSU1gzsZNBmMigpAPBddPyUF3sJ6KX7rLZzixFHc9t01ibecI3GHdOQ/3SaskwqyX2oJwoj/hhyr/UQ5Go9X2VQzvANokpqcjVEa6o702bJBfDhQhjI+OHbxIsqCWL2k9MIrkNKeOSvQE5js9J4/eFcGTr38F2WSq0TlGoZRy7Sibk7yfVdeg42tUQolPn+oEtHV+2FqabYBYJxKjnjxYyOMLSYVdpBsngAurDQiS3Lh1xI/ezbiv/IV7FmwCIfj4ukDMyn7iByrxVKj+L6c4mzE9v4H8Xyzx0EXud8zCbzI/poIip2k3tnVEs57jKCTiWZ0ZMMMG1NxkU8qQnxT3PZHWej96bVS1IxHp4f2nIS2bDs14I4MBJnkZbHCLKDZsRPtpD87l175RkbDe/5a3PXdFUhKmGSDyPMUllYrmVX2zZ++LaPsc0NOFjfB7L9d4vVi19+1TBq5QFgvTuRzlv23tvbhkUd3sZpnC5jOKgzHbcmt8JFvkAu6h4mgpQ+9ZHzJhnqCRpfHGW/sLOns35iKk5MZ7rI/fUp6/wefTRpR6rQmXHbpOk7gzfd4Tn4YWQca9HTNxWNPJuHIsW4FcLFPCynIDeVEcpKNdTrvtFT6kmIlFp0xqXWsjjL+/XSbgCMyoU2MD0Q0I9ZFwiIL8n5mC8u/xfA7lZMZSmaOGn99aQOrikFugZe6xh5FpiYgrkyapcraIZHG3F91bS+rvwNkRZif2/5tf0ZptQ/89dPzYDH0NCE/zYjZy+716LJFoiPgSzpTdqbbakfrcNjrGIw+ztEFi39DdmcOo1V9caTCDLYMEQxzBkzLeSTH1mLxnE8oz+1SWIdTSsPknr6TiUZ6ushnLJiLD5WsTqxaTEQzWX6T9H8/Ml3ivQPRXqJVnmUImS3iaSB+Em/lX4+ddb6KFKKDHiRini7gWK6uHqEnPycLRkzSySQcpGysk8C9E2RFFRQOLdOOOuZej7a+yW+r9TmpyPQsviAenZQ+2Lc0SmaSSPN3tghTwEECgJmpevbFEHpfBJGBZQY2LQstWXwKkDLsxLhbjpXF6OiMFSsmDlvy3nuo4nfCvsmcZuFDDyGCjL0vo737cQW2726Y0oNOKvc3XZ2k+EEV0w/E/jtyNoGXLILz372zUJHOnGn7YFs1NmxvdvkuRHA8+vFt2WQtTO+b6O78usjsPckiwRgN/q19VvpZCOhhQUpimvsMIyjnd0pkfwJAW/6MJuTgVAqNpGkSLGyzxZmB2LW32aFIEUvfq9QkM0Dmrsm3sba+CydrHP3C5hUEo7i8z4EBLAbp+VmhCqvMl9+fhMo3EDCwjefAfdhNIEQaqgkJRNJd8zHGmPuDB27HyWpbybVyfjTprVoai0amTTprknK0NKEU7T4DCCYg5U+ZlIU5E36gGv2bd8KrRYuhnsk5jDYhFT1zrkc7QfZySm27Xchy5Yu1NtOfbGgyQXm+EYzHjiBrRf4bQulhKKXmwlaR+aY1oGL9v0+nP/aQlb5rfyP/NKONssoRFwWK88DL6dxVz7f9DJd4vvEMbrkKG2dwbzO7q/PAy8zez3+qvZ0N4CWUpmTZ11+P4Lg4m4qtDGhD9BUZYwyyNxf3fSYD2qlXd+nryAEj0hgGPybSWJpx1SqouUhWW8lDPL2hQu///dMH6RTuPhlEfF0qall5dlOdC9Yz1vE7s6kD9ff08Ghm7Owf/7SXrvKTvjKtnMSW1pgBDGGLzJkTqVD17+ZEan5+lMIGkUqdyc4rw2FSyME897bbkLJ0qcfn42zDPi6ERX5Us207TnywCQNcqE80zhfUqTScGzHAQP8e6+bNyUIoB0Z9bAyiaeor3jFVp+iX0cx0C16jLwdcrzwyOVSsEFnRUlOGS5HRs1+ZxNSTSt7Cxb1M5DWMGjRcdjeqaTR4kpRPqdQH0sk/b6jKDMA0NRKQYTWKJX0BX7ztJjOKKZov6cCMmh5xsri3Pnep8Kp53wwElQYKCtHHSXhnbNwEAKOjb8xFo68jUF3GSra571gzXSz7mmngRfbbINKTKVKVlOPzJdLTmDqDbBg1WH1EMhdcqXz/ghxYE42tBvz5pSL4lm7HyIkjGGLl2lVL4IROmEbyHB0Wh7znusKl6ElcRGO/FFy0NMlhUtlBmeGexx936iWkz89HjxP2iULvppfDoL2MjSeZ+dWvIn3lSpdMkLffLsGmz2ptjISlL/yAxrbx778CHxcSI7n+0TvugD99ZKSdONmBZ149RkaC40cglvfkJ9+dxffUeVyq0Moff+YAToxX6AvyKpGTvZHzXzNwJdW4+Fg9tnz+dbz6Ti/7NwEeJ9+aADJNZo2z4E7npU6gpEjHd6WmnsDWGYQgyfcoPiYAyfF+BJLe56RajLOHcc8t15CplkvN+xEFcElOiFYWK0vn5+PKS5bgJ//5V0oMyZLgwR/8zteVZIVfPvqCAtiYKIurYTrOyuULKVs7xT+13N8t9Dkwor7RQM+tfkQx2eLjDU9gX+XsM9LSz08uwpXX/hsapvDxstxbLWn437sjBxlpp19V7zR2YS+9kQbVtp5hFh+HQTLpxLfBVBGGyl2BjH6e2lwnObaOoMvHVAqZzcKHSdnv4qJAGFFOm4Aub6WjccvxiXQqFb/LIfw+qqzAZJ12iNHhVUp/1KTye81rjvykHf5HuGhTmwFFMfIsPt6O2ljy/vIvV9guci2yABUviq7uYVwcUYex4q2K/5d8HIJ6T2Gkx3k8sDosGr7Lr0JjwoUOVXz5dPfRV+JwsONYquZZXnSQ5qDsy540ARrjonUozA1DdnowEuP0KH7jDZeGuopx949+RMN2M3DQw7j7nTR5H7WSnViOG71oEebQa2q6HjOenL/9Ni++cYypX2QHO/HRkG0H+Dxq63sUJu2KpZHsY7Zpf7LN2QJeogjG/oDfwRAnz2061yoSqcdeOkpww/WzXlIQgluucO2z5elx5ViWd1P+20a5TNWzT6PrwCElKUyJY+c8ZYhAoCE+Ds3HKzHIcbCdYIGzNlB4Caq0mZjDkIWm+l7KVHptxkvp43MKwhU5+VRtmN/Noyc6KT20HRQiwkQeo0K13bsg+15JX63hETOgk9C5D737thHc7yfwWqN8t62biklimd9aBZ8os9R+YCAYBw58HY3NjkycMY51JxZEc57uXOKVHNyChNBa9HqPIIIsZTWZcaq+Ufi//Cn621tZZCULrSWQrEZGWxOs16y+EU0wJ7h1khV4om1YmWdryC7X0n9GS+BKkivFqDuPRtv3X5Gg9C9rGZA7xspU99b635VQBxZqBHDZc6iVY73ZdNxdOw+8nM4d9nzbjbjM841ncMtL8PEM7m1md3UeeJnZ+/lPtbeZBF6kIiQLoxTqpd0Z4g5zcmN86SV4M/mobZR0TJXzJBC5USoTqcyIpJRjEnU30TjWiyCDRiRIU1QPLDdbBtdn/3EE+484RpdaP5D05ADUNZEp4WbBIl4h992ei/zs00+v2bKlCu+uL59IW6EKBxVMOLKwXsLDtchi3HJKbABumT2EEoJURjIDpmqpBKNyGB3t6f1wtz+hW77+89+h44vPFKPaYUlAYvP208EvM48eHAdt2DcK6MLKgy8BowSpHDLNRpoALsKU6FQmKzLwclDNKMBI2iJ0MwVIzbSEsMOvM0a4HUYCKEaraqdu7dfQGJKt7OcEqfit1ENbZAgCwGQPViG2+gDGmhsUunsA6bdKyhH/fzgrtkmkous4kDdy8d7rwk9EOUdh2fDPMKs6YVzQDxHoELaPcc5c9PBaupKSMTSuK19qegtxXgcQ6mNAOjuBGIpat7MBvMj+a5kIUOOhtj10nIXj5aXm/aKBnzGG15PCc00iOEUjRlUwOul/s+2vz2HfVhojc5LprokUhDYY9JmhMbEV8qLSB0G15HK0q+IwKzsUd93kmmp+iH24fvt2h8OIDFFhwjmRFekpReqlH4O9Oa8S4/p//o+DKbLsvIsRtv/1qx3oGWeQWQ5YkBWI24d3wLeSxqIumnHxYmj4TbFeVD1Pv5b9RzocKsiyi5uvScGyBa4NZEvKmJj2+nGFNXDFmg1Qa+g5xPWyLGgNZHV4GwtYFV2reAAcPtqMHjuGjuU001L0ip+FJ5KjGAIWoTRelEqpu+/XVN8Sy78LCyQ7PYSyJy+0tjXgxmsuJGjSgD/9fR2eeuRBrL35J3jpjz8j8KnHHQ/8mkafS7Fkfh72Hy7D1WuWQSIy//DMm/j9f9yP/3jsZcrXdPjmTVfh9399TZlYf+f26/Hn59cRBIhCdFQa993H4xhIhffCO28+juL6OWcEvBTGHcJVX72f8skxtHZO7Zch1y3XfN/tpwe+DNOQe+fwPnSzeizNsqCT59ylMEWGCbSMwqdTj6EDcTBwETJVS44j6DJ7EnSxbC/gSzeZJzb0ff7jCAcSw3vpqP3MUUYn4ItIWSXqWb6PGi68khlJHVagReZ9BYzN5YKjnNHST52Cb5+5WFJG4LGlzSwFLrriTpSP2HrgpHJRdM9NWdjzytso3fAxOrhwxVA/tB1c6A06N6z3jaJHx9XfQS09qmwqynF+KJ4fjV4nbJe85l5EcFF0OhI5y72ST2aKXxf0R9bTs8tIw2pfZXycqIqTITqfHl9RlA9ZnttBzksayfq0b94EZpZSjhRMSeqX3Z5+6TCKS83FB0sbFTC8qU8BKy0sAz3HvYsXRXIuYbtgPxvAi8gOH7q3EIkznDZURcnRE6+eUJJvXLVvX5uMObmRbuc61qCKgChtNIEVsFBAwx6yats5n+jk/y3/lWQ38SsK7zuF8IMf0Dzabj5aOB89zdWoKW9weO8s5zhGYCLk2jth8ovE3gPNZMfYgyZ81/gtneo7LvhoTW0Xqlj4s2/i7VJ8otdhPBL5am462S4E58IHWRDbs35C9ufn10mgn2EWTEC0tNCLcikLFib5JIjU3Z2Affuu4j1xZOOMcE5cVkjmj4sK6eLYCkqOOE6SERzN4lnE9gr0fbaDxQSjMifzod+LT68fgrMI8F51m2JYG8S+qvHzwToarLcYJvu1Zf5q+e9Xl0bhYjJEZzJgY5hA8RGa2x840orj9NKyjuqe6t0+D7xMdYem9+8f4/Lp/fAMf3UZPjzDPZy9n58HXs7evT3ne54p4OVHlAHlkrKrJzVzqsFFLlqRGTDFBju+QLOxCSM+rifG/iY6jXuF2Qy0Y4zRNfF4moULPapAfby5Cu9vYkXOSodqf/Ol0joskcl2Exf77a65NB5rLp6ekZxMCMySIzJ9xsebNv6P49TRW1oOoyJT/Pswr2UjAryGpgRTYsnWmH3rrR7d96k63AgX+S8+txttrzzFyOpO+JNKjqEuhX3gm5iK4dYGGqNOVjVlcitMFxUNQ8PIYNBTpmHNzhEQR+KHpWJqaSqNL1Q5C6ElDb5x22b0sBIuEcQW8ETDONO+Nd+EYdQMbIwQHDha1uowmdFrvZA9Wouoqv0IG2hFIBNbkih/iKCu1xqAqqPcqJcmz0qEtlUz8r53C+gyno3kxT4VTmmcYVxq5c2JuYkATPfqVeiKS1AAmMtHt+FC702sythHVs+81GhiUsdzrOEkps4T5gt/FMntBRiyfg8VEIZ/Tu3wRcU7x2HkZKez25dSB3o6uJjjGvkPHZ2yyDMhllGKDI1SmjYtF0O5K9E5pEE4q+kPfbfQbdWzm31n129/i1EnbBPxeukWA147epmPvz/UZL4MMl3CvqVffTUyL7vMob9/+OEJfPBhpYNR4EM5jYgv3a9IHJ01E79ZKomrtku4kiro7585iDYni/ZAAn0SL60PdB4vLcd54fUSGggeRkE+J/NMcTOwnwsQQ90k9uy+msBgFr1NGNfOyWo5UzKsDQ4n3hVhwRVGsBro2hcgNJhR9BEa1NK8u4f7m6kmiTLzGHWfkxHAdJ2PWU2nXp8Lvja+/y88/lNccevD2PT675TD/eGZt8iOicDljLj83VOvk3bfo2zb2tGFp379E/zmL68iLysNl1wwH8+88h6jOUNx5aXL8NKbnyiT6pyMWWQiGriY7MUpXseuzX+eEeBl8cp72UdV0PmqeH+mBrCV/s2q632UHWUyXceTtnfoABppMEt3Ft5/JpII2EJ2i0zoLe+WapSMiv2p6HRtFzVxKFegi2UDAe8ketgCvowMEHTZkEbQxTGKXX4jhQIdv42ZNKUVun6gvxpa+qIkftsXfuGT37HB59qh2sl3nglbFdWTJtrdyVnYMeuqCamosEp+RKZDUoI59evgK6+gjszMbjJKu2pOoY+pdCNc3FgkG9b3UJOcg7GvPoTqdnMhRRaaTTTyLPdzNPL0481btrcehikYqq6ekTC2osreheFkhbKJSJJEoiCMM5EpJK24CLPpG2UBW9sYLbyX7DxnRvNJHBfyrrtuRsZYT/qU9TZD/GY89WIRwbBe5Zk3kTnbwOJQP72R7GUkIsVYPDec/WNyPnU2gJf7KIUuyPW88HU61/zJjlNYv7XRpawugP4jD9+ZRXN9P6WPCXOhjTJFkS2KB4u8G5LCJcCKFGzEZ0VYYiLTE2atK1mfvCeFVe9j8ESZ7enSv6ymcCUGdrMQ1eu8SCjfjMjocLTP/zq2H+xxGFMLOKcLDp5aIjU8PKSAbCLps27R4RoWtryZcmfri2jNdgnw6kPg/rcw0D5p7C3FKn1AEwL0TPjjAO6XFA39FSmUcA6SFSkJR5NAS3NTAQ4cXOFUEj5MU+BjNE7vtwNfhGmsVQ1jeWIpurWD0PP+J/1hPY3z28dTgwi8UOoYbgzH8vsfQhxlxNaMlRKmeD3HeXmfCy8XeSY/vS4ZCZHm1M/pNuknklh4qLiF3jutSqiFs/F2qv2fB16mukPT+/cP8eXGV1vO8nJsmN4Jfwm/Og+8fAk3+VwdYiaAlzYuhJ6lD8npotLyMRxgjPDAutfQPkTashvD+tDREOhVjnHNJpptqq69Fmou1Fy14yfa8DRd80X/6m6SFhvFhWmje25+YXYwvn1L3mlfq/Vxm1nFe+yxPUqcrDRZDlQw4ahrvFIf5TdEact2qHrbUUjfF3dAVigXrgvp66JyaYLmec+S5/HCCwdRu+0LLhI2UWJinrypOPHQU3JgGupFW9HhicmegC4hZLqouajRhIQgliCYiRIj+9bJCXlZReck6CUGt9SE+xkYlTjojT4fUlFZzZOFnlTS/K+8CQ36dJvdtHJxerLaUb8uG4VT9nUZKa+X+nCC3dTgEIMsBsK1XPwbyLSyGL0K6CJMF+Z12BzHJ0iP0BUr0WcVaawAMPPmI/Tii3FDUgKjVLmv4bdJj7X1fTlbjBc5QcVln8BBo4fgSyy3T+GExzJZGaa3Qtn7HWj8ogRGTu7kZWMmCcEsLZq5COof8ONCkbIiq1dEJrEDNFKVJvtJiiHzYt6l6KIJp1DfZR70/TtzkJcdNWUnK2JCiCzO7Ge9YqYrqy9nsiI9K9F9lCrZm/Oq6PEirJcA9jlLE8r9f//3DjS32C6ul4d14tq+PVA7ixc3XxhMTADTUR7prK2nEffmHQQbJd/Wrq3lgvHK1ZR0OUlhkU2FvXHw+K8ZT35YuY8WhYihNw4vvroa0RH+SIrXK5XK42TItHOxYAG3rA8Vw/j11CRHyZg+wJuyCg2a20a40JBvyfQnpvbXJh4uC2eH4apLU/Hep1t5jE48/L2baDjYiJ/99zN4/g8P48rbfjoBvDz21zco64hifxoggNKhbHuisg4///Xf8OxvH8YjT75CcCWdUdOz8fdXN1BOFIrLVy/FK+s2Kl5Wc/LmEJwaxruf1imnMpPAi+wvNMjs89TooexIvm3fvS2HkhXXfVsWfCX95TgweAztNJjsJNjizK9Fek7A0TQ0nZraVDOJni5L6OlikRe5erFGCGoJ86WfPtmGDWS6bLJluihgCxeDfqTwawg4SM8Qr5cc+kCE52Ui7bvfxajuVS7mCHqON2ONEYOP1ePEPkp/7GQOxWtvQ6nRzPC8bm0iE2xSJ34nle39f/87WvYxBU4WwTTR729pU6RRQwSfxHDUvNg1G5Lq5q9A38q7+d2hV0a6Hkdyw2ls7th359V1we8I2ZBuJL+u7o/8fVQfAeb9GycMw6231QYFIeH2e5GWGYeMVAJSYTrsZ7KNs9RANb2fljE+2mK+6+6YZ+vfOjoH8eiTe7Blp7ApzHJcVy0tKRDZlLxYZJIzDbxcf0UyVk+z8OTJ/RGw4E+vldBwum8CvBPzcQGtpZAjJtyJTPCZx77T0DyoeA9ZUoHcASueHDvWUEkW7ic2/nV9PN6pxMXwIcY+dHgXjHYm/4rfFVPdjCzqtWtjURG9moDP5DxSmEgF7ONTFSSFkFZV0+kgJZLznl8YgsNM4ZR3ybolxvrxWYcoQGf0yY/QVz75Plu26yUQnJTQzEKXAVE3L8CIulORtYexz9unQlZXXoQjJYVKopqM72IPJZ4zYq4+vDASJZTIqkiBlXmaJCQJc1HN74t+rA467xPw+6gIgx9vRwi1sz6yg3GwJDg7C1d/5/9SLu7oJbOOQNvmo100LHb+hOIJJv74miQeb2qZlv0ehN1ykMlE+w43UfpuNi93Bbx50j/OAy+e3KXT32YDrj79H83AL76C9TOwl7Ozi/PAy9m5r/8Ue50J4KWZEpfn16/3iHni7KKHWWlqev4JDDZTWuBi7eBt8kb0WASNwxxN3EyULHjTJ0DjxPROFj9/fO4IFw7O6c+W88mgme5JaovdTWgiWfX/0XdmzYi522efncR7GyqYEGIeSC1eLzpqZRf3b4OxqVqhZOamBrKyo3OK9gcyuWghExZ0lF+caZOF/SuvHMbunXVIKH8PA3W2TIPgebNpvlhMjwyaMvZwMjwyosiLBHSRliC+G/w7V61OIhgb+jDISVUvtdORZNIMnqDfj8yYAoIwEhzDaooaETkZGFxzF0gOcGhlFR2stg/Z+HfE0QAuPYiVGwI3V65KwNwgbkMj4kEu2K1H2CEyrBpYCTKQQTHK83QGulgOqCYYEEQ9v8HKjDGM9yeTAFQo/z6SEqSA+FAMjL7K2MYTnLyYJ1lnE3iR/cszKucEtMXDyk88V/FJBDVajo6g7O0qRn/XO308om3uZyFtjPd/aDiAIIGO1GwNF/PmCExpqoho9OWvQWJaAo1rzX32UqYeXHt5xpQTStm2lwaFO2hw6ZL1wkhPUptszs+HPk46Uvv7nEiExLg7m/I6S7Va3qd33q2YiDyXHfkzrel+zW7EkLHlqhmZaqW95hqX1yCAye/+up/AneP3Qyak/98Ds5mw4vj+9XMhfujYbvoCPE2zPluZwP79l2HjFjOb4tILYxUfll4yJY6WtjvEclrOexbp1vpAMyvA34/R0JxwdzKStJmA7ZhLkyyXl+3yH6RriVHjZSvi6Ulgjqn9/dNvIjI8N/tUOAAAIABJREFUGDdfdwkr7+8xEW4/3n72/+LSbzyEfzz5Cxrw6nHz9/4TN1xxEd/xFmXbb1y9Ek/8bT0Xigfxt8d+rjBeMikRXTq/EC+99aHCeFmzYgne3LCRk3c1AZmFKDnRTWkXTVrZZhp4kX0q4AsljY0eMigEvLjrGxlYMCdu4n6JNK67dwhHCSSXdTSjMaoMPZRMunTA5i/9amLQXhrsUqZg2flUTBf7hzbCvln992RUfWKOX5dFkoAt/rIg4sJKzkkq/dZgnoZjxppHf4K0vCQMjuwn/vo6vH0m+3bDEw1ofossgR7bgbgnPhU75t+AWIKA/3b3LAewcYTA5l6ak3bSFFvYrK30blIAU4WRQG83Ll4V3wyyF+X/1q29hYkqa3FwYSzqnKSxBZF5uXAn2S52skFPe7Sf1yCCDr6OgVZW+p00/4uuQr0mQ/kXWXxmaBuhK/qArEnzItPaUyLzhhuQsXr1GVXcPT1vZ9u10Idi49ZqbP6iAeZx1HUapOX3cwtC+Y7pFJ+QmQRelsyXBKOcMyo8yTlaS4Hkfws4IO+VIgXifxtZaHlzUz0aOG8bILNHWK+yYLaWuy7JDYLG25y0NlNN3qGC8ncxyDmptBEJGWAfFIb18UW3IqlxO5N6jtscLjKYUhp+OIWZJD6C/RnLUKOjVHZcbpTN4llE+NRegOLtUswkIwe2SwQZwjyxOjvQWPrtisVRirdLXO8R9O/ZpCQn2TdhdvT29uGCH+fCK14kr+bxW7yfdARRxHtF5IhiDKyhPLuj5RsEcnIoIdUpqUACSlqSgV6lhnWXmuxZ/t6egZLYuQtE2NHX2wWqGRHCB6YkjfFP/P03IjYjF3NQ4PjtIJj0xw3lKHMyxlquZS1ZXFfMi/A4Tayd0rJdBxoIurRyzkhA3EnhZDp95jzwMp27NvVv1uO6qTc6C1tcjXVnYa8zs8vzwMvM3Md/yr3MBPBysrAQP777bsyi3MUv2Ew/Pt020NOB6teegPfB/Qol0lnTmjR0e3FeORgTVgINfbVkJVgqCzLR+8sLRThW7igLsd5/Roo/KZz9nBS6PmtZZD14Tz7Skm217qd7nZbtZfL517/uRdFhM/dcplLCepnd+wV6S8gqYRNgI5zUcGesF0l4WchKvUh7zrTJxOeNN4qxeTNlO8Y6aA5+ZKPT9w8PwjAXLN1NZn8cDcGh2ACa5hpoIMeFSEhGBoKTkx2YCdbn1cHJVDG9WmQSI6akYYZTrIpOJmsozIOQKHjfcB/6kwtJ2ndMv5DJe0lpmyJbEllRfrQWAewqg1Z68IfvK6RxKRM6GA3Z8sknGG6YZMCIhKiBEdl1XMiPTsEO0PB6/BktPMDtRbqTYcUe4cwBQfPnI+qSlfCJ4GTDp4h/1X/WgRe5n/Ksygi+tHkAvhB3gM+7jKTcW8ln4/4dEHmE5T6aCHIKBjJIBoxhQIcBmucWa1biVLsJQZTYLMkOIhioxQ+/PVsxgva0FdMkuobGzfbopoaSIi+yWCSByr4FZmain38vZs3WzYcMr2VkvegjIniuo/jvX+9Afb3tNtcZ91EWVg9XRDpTfDxUDz4ItZuUJDnmF3vqsO7jKqcU7IWzmJZ0Q+bEhLCfsds799dj665GFBZsQXAoDVcHaUhKurvi8TIcihdevmoipl6kWovmRigSoUqaSDeKGbWThUQQYzIXzo4gQ8ZP6f+NzWKy6umd92y7EDLHVl8Yh+UL42yeqzBXfvKfT9FrJgzXXLYMTz6/Hnd8jYAVK5B/eeFdxMWEK+DL7PwMzM5Lx4//31NMYwqi2ed8vPLuJ2RIrKCW/hRSEpIxb1Ye3n7/U5qSB/PfF2LDxq1MS/Llgj6P8iQy4yrNMsazAbzIfiNDGSnP/9c0BRBvuWNCpf/WzRlIpTSnhGDLEXoCSBLRqPcowpfVo9fXtT+Z7EPbEYK+Q9Fkk7lfHKZyQbRw1qdkuthGvbt7cs2vpaNl81GF0SFfSzXHKGVx6kJO4RWfjLrcy2FS63DvtwqRwgSggZE/0H/IDLK3sEhx6hDlCs/0ob2CC1q7RVzZlbfgmvsu4/MOcnpaQ5Ry7iFrpIfebX1kF/bwO2uTcjRearaAMOoHfoF1S1fDWars0iom4pV0Tbs6ndC+E70H+G120rRxSeieewOfifkfZcEZVvQ6vzNmw3hhAyhxtExPiSTQvPrffwEtvxFTMRY8e8s836qXY+aWHTX4fAcBqPH0FwEnmlv7pywkyVEupN+LMBK2bPwLiquYdEij9Wk1UzcKU4px8+0/xve+WchF+NTMA2E+SZswlyZIKKllwn4VcKWT7D6RA3UQPG5qkyADsxRI+q7lu0Y+FA6R9TJoZcZvff6+nJOsnB0Cg2FmP4QJPaUIKt6MYUM/JYOjZGKY99+efzFq/JOQXfsJesZTAPU0u9VTsiPvioAuAhJJM8y/DhV9oYr5v0hFpzJkFsCn8lQnTjkxkZ5fGIxDx3t5j2yvU1LrstKYKtfXANWedTxfRymlGUCkMXd8AQYycnD55Z/znNqUPi4AYxpjyAVskfOUZgFTxoZ/QCnsJKvNct+H+Q4/yyrNUYIv9i1uw9sY+/hlzmXNE2kNjyshBEGFOQi9d62S9jZveBbi1DEOoE01/YqepEy4xw2m+OBXEpFOs2xX76H0tePl7ZQSNaPoaIfyLOzISdPq/tY/Og+8nPEtdLqDd3DD2dnxFHu9Fm+dk+N6ctDzwIsnd+lfdJuZAl6+SXNKX4IuOV/7GuLnzp1Wdah1qBU1m19F4EdbyOl0/gUONuoR5K13uX8j5S6+X/86VKQHv/hmCXYfbHNbEYmN1NDscFTxWnDXbr2WZpoLE6Z1Xa7220Q/g989tlsxA5XBMaRjFxr37FHSeqRJlSOMNMv89CBWayd9S0RqsYCgSxjBgZloGzYcw/vvVymDcRInFQMVZB+MNy+eQ3BKFBorKdPh5EKqLPlSfdfr0N/BwY3V/Cg+byNBDWdNqLGn6N3QzAnWCCdVor+ODvLGwPEjDvHY2qhYdMZkYyxvKfxmzYfBqHKYeIsfhi/7RiglN6NODPjiGdn4k/tm06DTFyM0+W3ZTb+aTZswQpBngJPBo+0dMPb2oJc+BFM1/4J8xJJNlcQKrjN9sRcXnqE0kg69mJPygH345c/fxfceOoHoGDeaOTcHbWo04U+/zcQjv7vA7amN8jpKZaLnBnwxtXqh7R9MGyivRqBxBLrxCZirHQvW2clJvVSkpXInz1rl54/wS+fAO9WHemg1vQUSUVkbjs7OBPzn9xcjNZkyodNoEuu6/de/xgj7jH0LotSnt6rKAbzzIhvCj8kjhvEKpPXv4nnvC+jztHt3LV57vZQV9cnFbfZgNa6l90aM3nl8rcTTg6CLNt1W0ubqcp7420Ecq7BNqrBs+9C38in5CWCFrZGypHqyhUYQGWHAyovf5IS8T/n+9BkoCyG77WjxCny4Kd7mmzSf1ekgxkZLdbqYpn/2aRZagowZNDhMiPOn6aQXfztzkiK5Bn+dF8GWKCYNJRIwce1Z48mjFl+XYjJ3RGIi78ww+5MwRzq4KDEwhhVeY8p/fTjRlxShYDLfBAQRJptIKCTVSNrZAl5k35Ghalao4ZL5Iucri3E6SjPG2YQmVkwDCIIH+I/7kPAaEi5oQVeAe6N29aCWUhcu8u3YI/b3MSOpCnPzKe30EHTx4vs/9EEuTEcqEMKIbyk/n6hg3LsiN3PRCDbU5V2BvhGz3EkiWr97dwGSU1i9V71HCcMgDh9rVcDXsK18Ru+NYtBuTIxfmoe0x/+f26qzgazCvX/+MwwES9vp3SRx8c4gJ2EudPD7Mvrb36M4JQ/N9OPoZb+QhXfkwDAKhe3iImp2qn4YMtIE3/3vYKjXUfbqw++J16qb0WaajA2PMfA8d3+smIHat8DVN8DEMamQ0e7pBKpSE8my4EJ1qoX0VOfo7t9lAbmH4O2Hn1UTDBNGm+3WYhTb0j5IoNK9LFqKRauWRmPLpr/g8MkzA16WFpTiw/XP8jtl/j5Y/Hus04FEDtxDAF8YK4rPCqXUrTzPFgJFEsEsY4oFYPHk/sjw1sm+UDyeDufsN7FM+plFA3J7M1tP9u9qGzXLMvll69DEJCNrk18vvwAULbwNqq4GJFR9piRfRQapFaBIkuzameozwZhWadC18EaM+QUjJnpqf5IhVv2KS81ggXWT+alI8BtbbJ+1zMNWLmbohGkEwYfXYYApj/LN0pLBIt9V+eMr/zf7amhyAhK+cTdee/MkgkJPYd7CzQQkzIWYWSwcBJJJaT+/MZk4xx75Pn/vWNgTX7y/DgyiWjUJvvjxvdf/7jcY6aznt5V+ZfxGSvMj4zb3gW/AK9v8vmnoM3fB6GL4+zoygD490IT3D7Qy4MA5SB3KlL+fXpvk4KsmaXn7DzfyTwvZYP3KOHu22nng5ezc2bfw9bOz4yn2egNePyfH9eSg54EXT+7Sv+g2Mwm8yC3w4oc2gyZ0aZRjTGdyUjp0As1lOxHxxufwcRIDLN/zKBPNJn0czfgsj8DIxfKRuZfhtX1SgXBdafTjIBWkJ/WcHgnumngd3EF67XSuZ6pusXFjBSVHJxHSWYzhY19wAdJvk17gTyPEeNK7CzLMjvhC25z17W8jfjajVmegffJJKdatM9NqwxjtHXjwXQwzCtbSAkmR7Sfw0MuqkgV0sUy+ZJvsm25SGAzVIu8RXxSrWWIrze5OtQ2gXypW449BzYmAd205DC1mSYGlyXWpZy0ma8GcDBKeFo/AZavRG51DPxXzj0VW9JUFkTi4twFFxzpcJl1cvSYRl16UOEFpHeYE6cTWrdjz2Wb0inEu+5UP/yueL+4arfswa9kyVoYCMObKI4Q78CYQFnIBAZMPX8Par+1F+OmHXSmn0cZbsumDQvz28WX8v9ynsAzznh8X2ZYT8GXoME1N3yjFIOMcLS2I16KTFaWbJpPiFlYlxRRUFxeN4EtSMKK3rcB7e4kxZSAigrORmzyf/hGZlDiYk1A8Mb8roSSxmkwkm0o4z0mAUomR7reLKZfTDSQ4MsDkI3tzZB4Ui3/yEzz7ei2qqibPk6HguKruQ8zjnFElwnknzUh5pPbKKz2uYpvjpUsczGtlAaLyNjIlxh+VdYMT3f/CpUWIiqFX0ngbota8p0eN516+DvUNtt8kAVjXXBTDxckYmSx9qD4lxrSMYOfEOTWRcj6VGlV1BoVuP4dmt2oaWc9EE8NVYeysWJ6AmChH7f3pHkMWD7JYrCQjREXdv3wv5JxlkS3RrMJAlPsl1yZdMTPVHydo7ixSKQH7BKRVzIfZzibwIvsX2ZGOPgX1ZA5Jk4qzL/nx8l7JYquxg2AQo+2tEy/yskLI7NEhchb9quJa+Ya6nuB7kTXmezgVbY3un1VWSgUTWj53z3QZ91oIFRYGk3m63s3G4J4yG5NKAbzKmCDX4WwxnpiOupw16Bu2PRfpX9+9Ow1JaS8RUOW4O55ipO71QdBTXDhXmmVB0oQBkkd/GNx7L7Qce9y969319dhH5ksfwZe24mKnUfJ9vM99wjok68z70d+gOScX/ewXXRwzLjzeiNqdLYo8wJ0ZvrP+KZKJ6NJ30FdlHtPsm272UrTFLp3Yrx+NQYP2vooBK08vy280BKt6532VCznzPZBPrfQR6Qc5jKqWxK+wUDMTxpNvnyfvU11DFzZ8UklmJz0v3AQBiBF1M8dWV2lolmPJM/YxvE2vKYLk3tMEVU39+NaNXvjZz/9LAVYMZPX1EiQVhlo7AVNJvxLGpIWtMpPSHykGlTG5SSRHrtqCLD30nFdMJ/nK6T45yQxrKoLX3s8xIhpcq9Y2+1IUqTJQMHwECW1FGCEwJK2HLB5JMbNu3mExCL3mDs5f3Hs7eRPgraruor+gI2NlwaxgFJHtIu+h9D+RBmnp21SYE4SvXZGG3u3voefIIYYTmN9t636osF3YNxcxLj2cMs/f/2Enysq6MXteGTKy9/C7O4hIhhFk0DTXGYtkzMgkRNN32OcdQZJ6fm/+SqZpG9MgpcW+sw6GTRuV77tujMVOb6ZQ8u91c3IRes8liCbbxXKM+JEYzPLKd5AcydTxLx+U4/Ap1yboy7IoY72A0fQsrNU39mA3ix1FJQSd+a2esefv5kXds/XPOFyVxndpmuOlqRcP3DyI3//+9558Dv7XbPMGbjwn1/o1vHpOjuvJQc8DL57cpX/RbWYaeLHchugFC5BH5onOLilkqttkYul9N6M5e3rrEfvKdmhK7BzmuQO1ScWI6QgueJxPaqXiUsI4vmOLrsQx3ySXE5jUJC0XNLJYcr0gjWdU3w+paff3n5peO9W1Oft3Gaie+veX0fjRegwR8Bjg/91Fzw3rJqyXOdmc9LMqLkBHGiv9MzHR+/zzCrz+epmyWJT9pfbsxUDRnolD+7LC60sJTTuNWWWbvLwwOvNPTt5CsrKw6P77lQFUmC/llJE07NqF3o5uslz60dbraAIY7s80naJDXIRJ6sXkVWpj49HuH4/+bvMCWiYZIrPSUZ6gXXAB5l08HxcXRpH+6svFxSAef+YAK+WuAbNf0ntDKPFyXTXUTj8tVSlS4aN3bIeWJq8jZFCYyMCwTgCwvuf+BCoC+FtvAolZ9K9RSynLjYeN/PYxsmtmHzmCaRK6GbENHL1gMX5+39egjabJcKYBuohuRcbkrA3ynI5xQtY/Dr54sZrU+0E3WjceoYGu4+QlhNekcQO+yOK3m5VJXSHBlLkBGPVxPK7CUmCVXe5rItlFcRGMpQT3bCQwiTSytNL5bzqXIOUAAa9t//VfGHHCkAqima5Uyu19YMZ4LD0lR71ljt+C0eh0fi/mkIUz2Rcu7d6FOX3liI1xXmk0JiTA96GHaBLoGrx1dr+fe/0oDjCNTIADeW87WOGs46KglzKiRXPCyBzRKJO/YP0ILln9BjvxJCNCtPclJQvw/OvJTn1ckuMDIF4AUuU/xgSvcIKMfjofLoj7yZiY/B4kxgeS+RLgMWDk7DqkMpqbocfaVck0xDW/I2fapPL97Cu8P4zf9qRlpwWgQiQ7TiKE5fdnG3iRY4QFeyOIdPuaRkbN9o+ingvIHt5/AYlctRVf0SJ0Ab8bY+7Ber8TSWg9SbNqNwqj7JRyzMrd4pzpwkeilRQeSswkejWY5+nDRU7VC2R/7ZpkJFqfp1TdT5TTpNnK2HOMiUT12ZcyNcQ5C08e/W231mIIG1m5t4qc3a5G37ohDLOaLADabH77/f18YYqLg+rhh+nt5V5i2E722kF6vnRRdtTJ93Zs3KhdzleMzdvF+8Ui95wzB2P//h9oS05BLk057yZ4IpuLp1c5F6Ql9L3oJHtC2FP27A/75xTdU4KRg5/x++f4fNT6IAxdeCt6hifH8oSeQ+jdvdnhcQvTU33JrWgxuU62UhOEkaJIPsfmDLJhkhOCFKB3OgWazq5+fLatBtt3N9lIZ131QwE5Gtv6CNROylscL4KgNaWhXXWv4UQzI7PPYLE4O/Uklq+6z8xakTrKzNmqTPm5GCMwcaiy1yYZ0fpHMqRdtiBswntsyh1OsUH/6AhlP11Y0/wh+k7Z+qKN6UNwaO7NiA7VIb9tCzqLjyjeTRKnbi/NC2DRLHTeEhiyVrpkYQjxcpiA9ZHjHCvGmXa+YlzLP4kxHE+IQ1OpynmYMFjMRQRhMj3wzVyoaktQxmRQ+yKG9eVlkYEuRVABPb74ogbr3ikj49CIlZfsQ3gUPfYYMz1/PudVDDtw1kwjc+nXcotTT58KvqTP8gSNXZ0IfPQRGn2Pz90oEfMba6GJrxd0D96EjlQ9ZwZjiJL5lFww24Kh2YjxdUzFamQK1R/Wl6NrwHkHk3H3sqwAdLX00hOsRzH5n2nJrbP7oKP304JZERhjYfjAvq1n1MW+Qm+6lZxTnm+Td+BV3HJObseNePmcHNeTg54HXjy5S/+i25wt4EVuhz+ZJ7O/+U2EsKp1Oq3PaMAXY7uUiOnID0sQ/DErx5LEYtUCjf4I9eaiz27RIEkKJaS693EiLa1hzoU4RI8K+0Sj7DR/mumyijzqetEh1ZaHGZWbEDc93xpPrrmVpqJbf/s4ivZUc13PajBPp5uVE2v0Xk1afiqTCr7y/RuRzwSnmdCaf/rpCTJdaGY8Pr7p1UMIoxnhUJeZcSIthMkBXa00ewMnGfnhihzCcr+F2SRsgzCaNVraIBMHNm2mp8774q5fhiG7apEfJ+7q+hMYoERJKuEWh37Zl6pgERoaJo8t+5T4zxSaiKbRsyVxdj4yee2hlJ3I9W/dWUt/iOoJAzv7e53Bwf77d+ahhv3jOU4Ue2jCZ2mBPH4sY8zVL72IQXrADNHHxbrphR2iSHPMfUNNSVEm40S9JY7ajfvy7wk6XcgK72TWjic9YHIbWaZvp1/SA5TtjUnOKmnxWpr4almRCkgdRUBWF4EgAydBk7TjftLjjxI4HGzxQccb1egqcV7pnXimLsAXRQ5DD6Xw1TnQZJAx0z3gkKDgwxmu+A4JQ8PSspICGFFr7hdjYz68PZzAGVP433SovVPJJEhUFiLW72npRx/h5Pvv2yzGZH/eBEL8uLDrcyIrCkhJwRCBMmuZkkzCjh6lPGLBDWgaMnsv5QzXYO7xzwhU6jlRdQRm5b56sQKo4f5OtzW19DFe+pDiByVG0bIYtFDu/SndWLU0hnItIxbOO47k5C2805O08bExLTZu/AZ27BOfA+eL9otolBgX5cf5txEbtzeykuxcSjCPLBVPfBbsr0+q9Vk06155QQIThsJnBHCRYwjo8tKbx7DzgHMjU/vzEKZLVV0/+5frJ3C2gBeJQpYQqmHO1jsIDLfzj4wV3X1TR+eEJ5hQcF03vALGGDntmsmibYpAd3G42wpsdtoJzMraSvBhkqmlVLRZzQ4j2CIME73/pMkryKCpfFFAF0fw0fouysK4nLKjllYWFFKyUZd1CVO1XEsfZR3UPdCCW27ZBF/N5LmoDD7Q/9mIzpNDSE/W00Daf6K/mDima1lYmQqwa6bR7iGmHbUdPox+fmct70qPsIqsPLZEsmlcvAQ+P3kYd8ZGI4EeYNZNDI3F/6iiiuB+VQ+qansVcMxeGaQbMyDk0Jvob5uM07Xej9/F16DBl9Xq8cbcH/jtfhWDjEm3b9psgrnpqzw25ZRPoj5ApbCChBGTxaQZrZaSNvmOu2ni//TFnlps3l4/pXTIfjfCDmvtMLDyL99q24WqgKsC0EZF+mPP1qdQXEuGrM80SwJGerwkFGHxintP95M5Y9sPjhmxj6k+rppIfhZkBk0kOU33wMJiO8Z5YTeLX8uMJYg8uRsjNJS1bqMraMaemo+Rnl6EHVuPphM1BDM4FlhtZC4c6RTvFN3F16InKJ3gBsMDmH4kBaUwjqOhNOXVUz7z8ttkm7UPT86txucduRn+KK0acAC5ZueE4KsXBmL/H/+oyJ1ctfD8fMxnepkldU8Yh79+ZDtZxQP8u1FcftVOaHSlSEjg/CrRjXfKyFqGWqxxOu88xKLWRiaadtglFqr5LuoXJKDrmxdhmMCZtGyO16GcQ8j8TcO5xgUji2gE7sim+byoCev3URpuNUyKv41EhjfTD2iI8+NVDMPo41jrDtiebh+w/E7Yc3HROsVbTYzmQ2k2PNU370yP+b/19//Abefk0m/Gi+fkuJ4c9Dzw4sld+hfd5mwCL3JLJJkkhz4MifReOR3AoIoLqKOqUs43TQg50oSIVz+DNxfME43f8gjqtP0l48+qldJcyxzlNzkMdidl4tCsNWgdNKP68TFaRreKpMK9F8edX03H4nmTiRYz/Yi7KXXZ/+STGKD/SHV1JwfEPmVdL14kXeOO+JZjhs5fiHsevR+56ZFn/PH/6KNSvPceGR9Whd2kQVYK92+ZKGX50VPG1FGLHk0ksjiZDAnhgtAK5EqlVCOHyL15wT2GvWXt2FjUgvpOM5MluK0MAZSMDTRRIiKxLWwRfiYuSIombqOYLMqCXxOXoMQwDvROTiK0XCQGcTEby0lKapLevHjniimB5skZl14KHc07//J8EUpodimAlbO2+pZM7EmnfIVSDWctiLrouF//CsP79tMPwKx5FkmO1gp0sfzOj8ytdFYpxqz7oN1OZxJ4sT9fE6/d208H/4wI6DghC8wagCa8iyBIP8q2G3DonRICXc59dqz3JT1emC9qO+bLWEw0/C+I5aLSzHIhp0ORWlhSjeTvxGxSNOP2LZ+xniF6R/aIyaSmj08g/2TS2iOVDDUBYsI4kR3EzkcfRb8TqZciK+L7MGoHhskTDqLZcQ+jai2tg14Hpex3PpFJMMy6Fioa8K5mIleyqo8TyWCn74nx6quhveyy0/oWKfeDnVoS0h7/2yFs2tFElosjalDIBVdyglbxdvFWNdvcpqbG+dizbwnq6etUUd2rsGasm8h+oiO0jA0NI5PLiIrKTsVE0xnOF8Z3Intceui0Y9v9pQANGVw8r1wWh/yciNO+dnfHkPvy2jul2LLb9npd/UaMzGsaDEoSh7s2k8CLAE6y/u2jl1d77yiaOD6ILMBivKhlNVPeC3feAL78di2/haCZ2rz4c/Uu+PYFYGhfIvoGXLNmslNPYHbOVkVeJMCHH79z4cEa+t34kjXFlBGH7483Tv6NbMC95Z48boWVUKuJxS7dEvQOur/P3XSYPXK8G3fcUorsnKPmlJPxnwRu94ff5hEaWjJGfrxSLSdgio6G6he/8ChhpHbvXhx5+WU0878jfKclJUYA5gm2y/gVedEkO2L+PNxINk2wG8N4AfnEL6m0vAMnq7tRWtGNdvrDyBiQ2LIDPUW7nd4jbWIaumdfp1TIpQmLJ7b+c/QVH3DY3kdia1ffifaRqZNonB1M7p8/2Wo5ZLDlCwhDSVJggMYGgJbr2HewgWlFtWTN9U+bQSK+SF29A4ySvacJAAAgAElEQVTKNX+3hQ0RQ/A2LobSzXFwcCZ8Kc418CLfsMqWAdSQ4eOqzUplEYDv0HQTbGgbh5MtBLLGU8+CfAZxRfP7NNKdlOxK0SE6Ix51y29nChNN/vvrMLydMpuOHiUZSIp1sk0IQZVY+n4JS0VL5vCynz2MmNSkiTHJ8j5tYZTy2x+y6GY3HsRE+XL/I0raoHWT1/CBW9PR9O6L6JXkRhdNExKCxSwwBDKEwbqtX1+Kzz8/pXjJBOp7seaKbWSvNSqsF3cSVtPwbWTgzXMYU7sJqK7nWF7GuZu19ZjM18IevA4tKSOUHU2eQT4Z7UHjhZjE0ThmHJG5Iw/Xqiks8A8rcLhGZPdGFiD60dQ6oDDBLNLHSD8W/uJ1LGK4l2R79MG020jA79l5oTS9j2LUfMgZJ3hN5xz+t/3mRdxxTi75Njx/To7ryUHPAy+e3KV/0W3ONvBiuS1xy5cjm4wFHb0cPG27B/ejWWse9HRNBsS8vBW+5ZMVfR+JmGbOkdrbvLCupT9ILSf19pRP+bfhoFCULL8WrZowVot9pvR1WTYvHLdcnzOjixTr6xbfkV2sWIihqDRB9Ivpxt7LhQGdENDFCaJQq6Wp4lJwIu4SrFmdhp/eU3hGA4EY6X70UZVNtVCnNiLm6BtkTZgrhSqNmhyXLpoOG5GUn0rQxRbp9+PEexnZLhp6mzRy8bt+Vz2O1Q86mKKpGLMaXncIqtK9GOs3wKeuDINWEc0C0IxQauCVswAN1Osqx+bkJYiLUI0AOuPlDKFxR4brJp6FpOCkcvEcmDcfTz53mAtVJ8wAmpGWzIpCZkE4zRBpqOhCTuFFyUvyE3+Aaf9+6GtPQcMyqqttZUGQRDaKyQX4cjaBF+u+I9IbYcN4RQUzdaENXTU0yAzoQ7cXpV1eU1fuZR4Uyj6m4uLDS61ByPJcjKRJ7KvtLE/6YRsNO8Wjw5/pDUrMqpM0KJkMFmYEkdbuRo5HVo6wYUwmGq8YM3FqWycq1u/EGCvX1os6AdcCGAvvTFbkT7bTCN+bYRr5yeTsGI1oO8ZlFboV16OgowYhR/djHidMztKWjAR1fH/wg9N6f+Q4XWT/bN9Tj01koQxwwd7Y2qtIgOybLOYe/PYAEpM+5Z2bLNdxKo5du27lt4lmoqRnV9d20yzRzODTsjItoEsvjXUFjMmnhj0mKoBSS5ot0uzUPlrUcsxc8RuZogInYENqQgBNc83R0DNdrZN78+Z7ZfiMQJQnLTnBTzEFtXhmuPvNzs+exNFq9hWfaWrpaR45J70Zi1ffyxh5iacdJhgiHjPOj6plBIe8VpaFue1WY1h+0yAGQ7qVb7M0uZfCSrEGIn1oXOt1IBmdHa5ZDjkCulBe5KcbJLOFYAv3IV5jjmCL+QwkYazqOYIu+zwDXeQ3ekp3km+/He99VInN2xpcmssPGUdxlBHe0scy0gy48eubOTYOKpV5uRdaXk/2uyEIUMzfbQEcE/evXbLEoz5VsXkzjv7jH2jhN7aDhudDzr4hPO+UrEzE0j9mEd9Rfw/SEQW8kD+nOO6X7jqE0peep6cOn5EybE4+aB96Inmvug2tpkkuYqipFapdbzpNgtHOvRDt0QtP21/GVX8WllVmahAKKUnKojdMC/1ZttI8uIzyGXsA1pP3yH6bThrZ9vTRS41eNIlMffEnU8q6/U8AXpR3jq9VERlPPXZFKetrvXReKAYpU5mOFKpL4pwrbRkkK0xHEFyxXykeyTiXSgZugB+ZKzffwbSeWThVSxbWx5swdHg7hglimlldXooZs8jTLe+NsL+XUN6q9Z8E84bIEP7vP+6bGAusr0MY2WXVjoDcvPxQzDUeRNPOnW67yny+Q9GU7tq3dhog/+6xnWhvN49P8QktWL5iKxPOxhBNoMjlGMHLMg49wG+VbdLRIb7X9du2oYYodp3M2cYPqF2wEIZbv45gr/3o8p2UPcuXsZDgi/842LJwaC6ifW2LicrYXtmB375ZhkMVfRPzYPtrmRPN1DGC1vZs9um8Q/J5C9GrsYweggvnRDP+2829mM4Bzv/G7R14Ht88J3foDvztnBzXk4OeB148uUv/ott8WcCL3J4AyggKbrvN4zQeg7Ef2427MORrXlirCAREv1OEgC8YOT1q/judUYtIbyatcPJxgnHFbs34+HXtu/pabPVKd/uxTk30x/13FrrUvc7Eo95N88G2Q4dsdtVJzwip4I+yetfPCWU3Jxiq0AhUpl+Flj7GFnJgeO5Xi+nPML0I6Q0bjuPjj6sVB37rFjdykguGjTCNc/+Dwn2ZIlOGmAWzERHpmCA17/vfR1hWDj4rasbnR9tJVXcv+NYNdiLt0Bvo2LqJ12Yrs9BIxOlYKNku/QhgpUFPeRFl/my2+zR7DKhtFukBXIgPpS7E1iodGUyTlQ8jK1/F+ZHo52JfKL1ZaUFuKd/ejQ244G/PQlNTTYZOE4b4Z8yFn0sI/UESZ82CyYlHyZcFvMjd6SZrpKWmhmAZI7ll1kANuJGsk0HKFFRBTI3RDjMNgewjFwagUmOKiQhH2nU5aPJqd5AVWfqHJCgJ+yqUscfeUhJ00YTaXsD0LR3p9Z60kSE1dv3mJAzVbZysBnHfMtGRP5Q4EHgROdqos/SjggKyporRzZScY8faJhYuUXzOc/30jP42IJVVKoeFojCGfvpTaE5D9tjV3U8ZQAM+39lIOcokoCUV96q6Hhr62VbbZPH+0wd2ISKiwWZB1d6Wh527V7JiZ+7T3T0DlAcwHpSgoyx6LQCr5b6tXRHL41EmyW1q6pwvziSVZg5BRftqoexDFghpiQK4xGFWXuSUcgdPnpezbd7fWE65n60Hgqt9JZBl2EUwqdfDpJrSQ09jW00uAcZpyiNGupGmOwTfeM+142bmC5+JXbJI3sUj0Bd0YdDKA8VynSFkqojsSJ5swNFUNJ1y7pWgIevm4gWVmJXzBSUGowpg4wpssezbRFPOk3+PwuBB9/JB63uuZ8x92l13TTzzT/iM3mNF3WGBTwPREzRxbm41A4DyCbn3niLog0sIsKqVxXtuZjACd5Ld8mEHfOx1PWSoeP/sZ1NGsVvO7RhNtXc//zwaKK21j8WVbUTe6U8wOZygUTS/r3O+8x3orBap7vqogC9f/Pa36KafjMgpJLJY5gNdZMIICKMtXIy2uGUTcwMBQqLK3qOk0dErR0UfmNGL72Thw71EaDrvjBgHN7X2MfbbG1HhnLeEa2icLaawkiQnJtSnv1d51zOZ6uNPHyCRYUksvX37nwK8yHUNU3K0v1yilZ3frGB62izLDfZYciT9XiS0/QJCVhuUd1JDHzPxWBFj4nDVABaWrmNwQCfiKL1OSzDPh3TJycgkkPKbP+7HKcomE9u2o+ewmT0lEqKcrDCHol08i4/5N9448c3evL0Gb3/k+G7GE1Do6Bl2YLuInO2OJcNo/WS9y/mJHD9l7VrkXHWVy6Lh3/9+CAcPtUx4jeUVVGDhkoOYNduW2Wbfj8bGJOnoAd4bs+9RZ20t9tAk1iJ3Es+XJs4RfGSsffAhtCclI9BURwbxcbKOJ8dPKc8UEHzRcjudSYfllBz5aXQQ2d2ho804VNxGUJJMNr4TVfSc63QhAxUo+NI0P0qPHGWHnr5J8i2I4XNdvjAa82dFE3g2yzvPty/3DjyHe77cA44f7S48c06O68lBzwMvntylf9FtvkzgRW6RN035RHqUxGqZJ9KjmpFTOOJ9HCafyQlF2M5qRLz5Obnh1GZz/NUP61FVxkoqFzHuWrBepQzIzZlzcCR3BTr6HT+wYkb34LcKWHXWn7UnWvTqq6hjyo6zssxJpqc0kt0zwllYn48/TmVfg5qeSRnHFSti8F8/XKC4up9OE0+X9esrHCbgQsNPKH8XAxxEpem4eB9rq4Q+KgRxuRkOzyiWkwe/C6/E+j1NqGFsrifGZnpDE/w/fxWj7c3Q9LYocc5GDtLelADp5ixBe0s3zWtZS+Y61kIltb82mQjNYhVJ2Cs2jYNkzVgEmiPmo8MUjGEyXYpyIplrM9myWG0MD5tkzNjv+3bGLSeWlaL4jTcwxHQL4/DwJADD/23fpJIUSY+QsXEzOcu/fxnAy6hIXgj6dFVWOtV3C2BnoJ+NN6ttaprgqhjXqwocgZcvq3EEYqR5cXIUMofV5evjoO1sRSejvl01YXHIpN6TBXMA6fV5BLmceas423/tzgEcf+0ITEOSbMNZ5ZjEh1Nr7qVHcP5SdB8lIGgnu/AncCIx4Ud3HEdzs/kpa8guie2uQUJGARbR4DKQAJ19M958M/vthR69MmJ0+QUZLp/tIMPFRTRlE1kvYg5rXVldPK8dq1du5kTOezzyWRYH3igq+hrKT5onq8GBKvZFNfYdaibbwNFbQraJ5kRwTl644l909HgrF5DOPWGSEwMVSYHlOyrzxbgoHdauTFAYLlP5S3h0M1xstGVHDV5/j/HfHiwWY7nA7Ceo29XrWcxnXo4ef3vmNzjSvZTAyzT9tUa6UKjfhZiC28mIcG5O7ezSBDwTFZ5FdhSTMYqMtd3oNTp/R6R/hognS30SOk4ETsiX5FkI2JKTHIhc+urkpB+HX8BGLrpcSyWsz2eMbJPK52PQv99zpksQfVdS77zT4blv3lqJdetPTkoyxRjaMEhzSrO80tIWzGvFZZfu4DUYKJnzx/zZNL8c8MHQr+g11Wa7rfzGxEWkhu+UJ+P4CIGbv7z4MgZfegEDDY02xxXYKmz8PdeQ6RJCSWEUAdY53/oWPSh0U3bTCibqla1bZ+MZZU7PopeMF7+Bl97JOOUhJa5avNMiBypg2vvRhATW+gDaZVeiNTDbKWt2yhNxsUE/U4BqG3ppxj3kMP7q+W0VH4kojk8BnHsIQCZSGWuJp6vjRkVocPmqJMyfE6Ms5l99t0yJ1LWPVv6fBLwII7aODMTyWtfJN1nsu8kEtizvsMivBLQQGV04PVZCCZaGBWvpWUfTajLOemkm8samevo+Tc4HJ7zs2C+z6r6Avnwv8vguq61S8kbX3ojX9prIgjRBzYSgqJP0tmMxJJesxbBQ5zK1/DvuQOKiRUqK26NPHkBDi+P3ICc9AMftmDfSB5ZkkuF9/D0HGa51/wgmq3PxFKzOcsrxn3n2IIsXk4WDZRcdxOpLGhAa5j6hy0T/NhWTjtRqHQ68+CIad+yYOLyYZpeS+TK4dBk6b74Fw+P+RlHGIgxSejs67vUiP5C7k6+wbmlw3hKFvsOBTCjiWEfGtzVI3E6A+CTZikMu5OR6gmQrk20Lb568p/Kdz+ZcZW5hhAK4nM2x0pPz+d++zTP4zjm5BffgqXNyXE8Oeh548eQu/Ytu82UDL5bblEi/jNzrr/eI9n9gqAh1GtvJmh8rwdGvUHp0sgo9XDgOnNKR6un6IYhUQjxFLOEKhvBoHFt2NWpHA22qJ9+7IxsF2dNjlHjSBco+/hgVGzY4GItafiuxoIePNNPJ3hs9S7+Kz0/aemdIheu5Xy0kHTLRk8Mp22zbVok3GC/szAslaqwJmgMbMEqarLfIPLRcpLTWImn5IvhSSmTT/OhfcPld2FbNwdV9qMfEz2Qqk3DsQ2rvyVKSxr/wHeyBursFGkp39HHxoCQdNbWsvjIy0mLA6OzixFdBdPP2g2Q/J07HK3swtmAxDly5Fqd89TY8Dx/OuuaQoqvTOoJV3yRzah69U6SV89lUfs4IyXGmxagAMI2NZgaMHQCTxEVOEBcJ1jHTZxt4ESPdRsYt9zOu1R2XeiKqVW73uJmdDys5KoJqWt7shFsL4XexLzqHOuDNKmwQY0ldUd7TaeocHu6HYye73FK8Lc8rlKysHAJdnizGTBR/736sGj2sVNs2L/jFp1IGwAonAQ4vLzH2FEDGbPCpScvGtlc302/bDLQmDDZC3dkOfXQY1q65CDrGn1s3E6vovvfcM+XkymAYxpZdpygpapiSvjxAw8Wa+t5xPymJrfbCPbfuRXBoKat3PohgEpks8gx9idiy7RoFIE6I1TIufphAyigXgUNKn2+zSmOyPuclc8PJuNOglYaC4mfh7N0VUGxuoWzny4WEmhHq8bhgcfyU1+nxh8PFhnvpTfH8m8JcmHpPESF85+jT1drpwcbcXU5WIMoahrHjwydQ3HPmwMvitffzOTFljVVpT5sZfKH0SDeKhd/oRZe3awNLZZ/1BBurEqD10/D76a2Aj3k0986iRDKAfzdi2kSJ0mesBLsZoKxObnRIheoXYjBwwP69cH0FrkAXyy+2f1GNN94pZ5V7jN/uERwtl0QQ22ci7P8H7tuJgMAaRNJHSKJmU5KCYfwkBl7vN0BllUwk+zXRR8KHXi++HsiHtw4M4i2CkHFP/wV4+R8TnlqyH35FobXykBHGmz/lrDHz5qGQQJJGPFdcNAOlqzvoMTHsQv6Ze8stSGGxQFgxJaVtqKhoQeULT6KjRiRYstNJ5FAdEY2BpTdTkuZpT3G/nQA/dTSMb2oRI2keZwqQUliDUn2P5n0XYEA2N8ew2/4wwJ+LTbLZLlqaiAB6x1i3F14/hkOM17V+tv+TgBe5VgFSisnWah9nHIr8VciYwlyR1D35c9OaGGQkBhEU1Sp/gjl3CBiXYFnAfPmvBAL84eUSVDe5jqsONnbh8pYP4T86CZIochiDHsUpV0wY/AeOdhB8+RBZcbbMXOvn40NW1yL6GB2qHMW6j2ocADZhu7ST7cLXxaZpGMe81nc3jA01LjudiiClBB4Ex8RM2YGf+ONulDKy3Jo5dOudhzF3XiO/U+47qml0MQy1S5ya+wrYUv/AD3A8eVKS5E1QKsa0l5KjyW+wFCx8OQbq6akjhQXVHgLXdSoHJpNAQ81kx1S2uC4O5UT4IpnG1n1TsCllvIwM86V3SwTmFVJOFGaOgj/fzv0d+CvOjXH3t/Hnc3/xLs7gPPDyT/tozvzEzhXwImceSuZAwa23IjDcdWSjbDdMr5Bto7th8LWdAKtIRdS8ug+aD3bAm9/04Uad00qV0Akl+rHfThIzqvZFxfKvoEKfSqNdE76yOh5XrEo9a1TD2n37UPzSS6zwux7k5XrbaOLZlLwKx/qjUNYslTrbCfLCvBA89atl9LGYOg53x45qvPbacacRtjKBSWrcjMGyEqUjBYqcpKUcoQlRCGHlxFL1kUlGM2VQPUuuxgld5mnpp4MZC67d8joGe22r+1J1WnT9WgyUFMFE345RVsSPUWYlcgR3LSE2gDp2xzjdE7xnx0g/9vYPRP8Fq3CKKUmdVlG1crxs6ustoI0AQncTdJkzDrpYjllEI8imoiIlelqaXLswYAYJvgwI4GG12swkeCheNLy5yrZnDXjhMTopLWomTd861cfVfZJz7uUf6+QQ2VY8Uvwys2CkNEKVFgavOC1Nevug13RA00FDWzJ/rJtUByWdQyYnAzQmPVbZ5daA1PLbqDAN0pmU4MmkpvEg2SsvMP560LGiHlLAylnxDoUNY2bEcBE/Foxer2h0dGnRdLwOoaNdCOpo4HMxIZSLxbzlS5FKwNBr/DmZaIqsSIzsTAatr1NSU7bvrsVnBFxarKJ4p/q6trX3KcloIhXIY/T3dVd/zHhk8+QyOoKR2rxv5cev54QwjZPLIZ7zpKGrbNMuvz/V5zS+WBYPK5fH0MTXRLZMB0FJpls4IYykkeF1903ZTCoirdtuETbV+U/n34+daMVTLx1XpBFTNWH36Py86YnjGUqbne6PilaC4/zc7fro8RkDXuQ8JZGqvMqxj7m6Bq2vFy64dQBtWvfx2Op+Lbq3xsCPPmO3XpPCZCtzipel7w+Ovk/fpe38O89W8yYODZUvxBN08VxeNBXoYrnGnQQVX3mzFIfLu2wip63vwaqL63D91YzIHTGv/KIEfImJgPFRP2ibHdOCTCyeaFavdvuu9xGweZRFjzZBdgj6ZNDQvP+99QrjREN4IUS+oVb0fhl3Qik30vLdjVu6FHlk1rhieBa99hrqCJY7a0Ecw5b+8Ic2QOQxpqlV8k9P7yAr/kM0MB3m+EofK/Y57SVfRwPO3ExfMeKml0YdgVmRrTl7b6d6d2RsDg/1Vb4jUWSM+frSqJz7nT8rEpdclORgdm+9vyeePaTIjizJiP/qwIssmIWxIvdEkqMiWQgYYJ/aWdKlFBY0HM/M0qBJeZie7KGHWUSLCHPvEfXShhPYcaTT7Zzm65fEIrF8K7rEV2V8XOlkOMPxEx3oXn0r6o1hE7+/tqAbpiKmlbmZ42nCI1EUtQYVdY7GsPINLK10BImX+ZcipO6gE3ekySdfwLSxRA/SxuQX+/fXc15YwvFlcm6pVg/jl/9xksWD6qm6Jw49F46WXbUO7300mexhN96Ev/Ej3sH5taUFGBuh8z7KsXuU78QIZUUMViBdMpDFDn0XmWCdZOjuSURHtyNAz5EP1fRWa+txDd6vTGHxjNMwZ1YDwuqeR1nuPBrX52SGO6QsTnmxVhtspl/VBhZOz6Sdj5N2vHt/xvfP5JZO+7f34o/T/u3Z/uF54OVs3+FzuP9HHnkEb/77v5/RGcxftQpX0r9lOs2XrIF8gi/RpBe7W6g1jfz/7L0FnF3V2T28Ru+4u7tkJjZxgSRACO5epIXiUChaoLRUqVCcQHAoFJdiCZIE4j6ZzGTc3eWO+7eec+fO3HvnXJlkUvh/b/bvlzdvyblH9tln72evZz1rNWCf3UEMO04E/B3aPuQVtSGaNpNJ67fBpYLlRs2Ta7O9uQEQBXpzrS5tAYbWnIGrrpjDzPX013bLdZtpkbv/+ecxOLaht9RXSRdcgJ0NgdhLS70K0qNLKFxr2v55dzrOWJ1sESTas6cSbzGbY26T5OvQCe/9H2KAivQabto8hhvg1Nuh1NlrxrKYXT2DqKC7Sm8IN4/LLjWy+LP2viWWjsz+DNpDE05GQr+PIg141uoTMP+Xv0R3UxNyP/0UrQUF0NK6OregFX3M8llqwnrxY0ZQP16aGYQVMOXVQvaGopfBbIojnZI6TzkTlcHR6KLWizSphQ+iLarkOG6iXsNMV3Xgau+LL6I5Lw/DdMkxbEMMpkQDpm8MgHFiuVeSbDrkOAZkxwJ4GebmvYnZ3BaCLtYAO8N7NQRfHHif3hkZGOI7FUchyXK1sa+kTExYFZq4IETEuFEPZwhuse0sH+mEo1M3BQL9laBW37pImT9c0mHRJld/bAxFCMODrGeURvlu9jxTg7bD+ZNeuXtYODeAdKlo0glQS5Mssgjq+s9agua9BdDk1bPkapg22050knCFxssLS5nhdhkrAxu+8UaWs81V/U4kC36AjmnrN1ehtr7XprIZw5scZHApbAphal1zaR5CwsZYXTxIrNBjQhOxY+dldDHqIZgwuaxRHBtqmBGv5rXVWiKp7bHR3kopWDZLjvoMyp5kA5JA0MWHLKbbrpuJZLpdHeva9JKyVqx947CR3o2579SZm6SQYA0qLWSSDX+bwPFX20mwcEwHZ7qBF7mWOEqVEuiyxjyQYzPO6KetuojpTtje6+9XNoAufL8eLF3wORSH9lqW40h5CFkNt16TgllpIcqhfYMEXextB12G+p1R/nogeg+UmuvWSf/dixuteJXyIrUTSJb5ob9uwedfV5nVyJg/0wPX0Fp61I5g5lgL4HwdWzYfjl+UwtFE+2pUgM3f/Q7O/O7MtS96erHe0Xmi2wlUp/3mPrRs/A5+vCknlayzE+cqf5YbiV5EJMuZ0i69dBI7tqmoCHuffRYjnNNMm4h0L2DJRRDBF33r4Ty69W9/w6CBPpfMk6ILMxwQiaGlF/I70yqOV0fqjCNlRSL220Jm24gZHRKbX67+QE4dEaGuWLMiEksXhCAp3g/eLCOV9U8tZhKQ97nXDqKGDkAy1//UgRd5/cJWkb+FmSy6bEr5HsuAhKkiSRNhuwb6uyv6K/r2ChlcBwrMW0zPpb30Ly9IMMuq3nGwDu9+XckyFvNvZGaCJ266KAl9dO8pePppjI7Fb4W0bG+gZftQdArqZ52pzImi7fL7+xcj78P3Ubttm1n2ruh7VTvHoCf9NCOWRmSohmL2ZLuY5OUCB6sxu30LaHhmtoWfcAJmEaC0tWRGdJb+9fh2lJQYJ8TOOssTK075ARoX8y51raXDOPBMFmPZUL63CT01+eaWPfQQfCgknMlE2jtc37r43+Qb03b2w3/gEHrsaymurYvR9M2PcbyLJNwKAjBQ6KPKNm21o94LHTN7zAD+7kyurk5w43c3Eef7830sFbHcOcEs77WsX2PrN3nFVTfinW/pFOVwhFIEw1rceXkvnqA2zvE20QPP4o4fpTtuw1M/ynVtuehx4MWWXvo/fEw/NznZH36IBjI6Rk3oyDZ1C3fo8bQmTlyzxmLpUXZ/HsqcyqlVIYkz6h/kt3Dh0mUN/FhnO+ebffD8voa2uhObHB+WPnTQ+tVS1smF9PD0U+fC5fprFfHN6d7AdFEAdTcdjMQm11oLZ5A5mwtoJzNxoj5fRveTwvo+xfXEsCVFuOGVfyyHv7/6AnDgQDVefz3bLOgioEhs5370Ze5Unjci2gWDZXkKM8AvNVWxsa1h1q6WdemjTgQozr8RLXZTE7r0bq+A65YP0EelULleKBk1kXQn0nCzL5RYfzIw9K2ajhclzFyWHyxEYQHrgU3sFQ2fXTJgcym2K+4bzQwgCpkHEmxF2ZQz6NQHvPJcI3MXoG3xStR5+GKQ4Mz8dH/cyURMugXtAGG47Fm3Dm0CdpiUGOkZMHoAxpnU4STaW9uR8j7dwEsvA5Zaarn0MOg7kib3Oii047R0Uqr5Hse8idu1/UrGybQFicUk/7NzQghmnxJFMNQe7gkd1O3tZBmajtXTSuHK/HJq9NhQOZJC4CCAQbS176nh8AAOvZxNoGuyHbZP+hJaSO/leNR95/JddDND7eofxGyZL3p3i7uDnZIRdtEYoJ0AACAASURBVLAXIM0RcRmLkOhLFh2z5RrqSZkGowK4SOAsgItkhm3RKTLX/20Uyh0easLFF36JQTrpSBOGncxAjTXncqOfYrFsScugs5xCvR2sbVdrpywPwcCQPUtlxLGtC67M6sZQ/DuAwOMIB71spsNYPnb/rzLIgLPgKnUkA8jgNzV0i3n2tRyydqyzVxw5P8dEuaG40jaWRyxr9Kk5SrvniWj8WAAv8jjifFdeQ+akBTZ9zMxhRKyiqxt1XfSbQvmWNARb3Clq7MwHlPfrkh+Ghmx5D8ade8vVKUhO3kemyxYCB7Zpugz1OaGMoEtf5gTIaO2VeVNIN5agi5rAstpvv9tSjk+/rqBoM9k/LB0cNplj/ah5sWCmP9Jn5iAmbifH1sS79nELQNyntJyvn7whG6GQp4aCnmogQCOBmn/wOj1jeg/6+3KhM9nM++7BwL69RmwXw/sW8XRPipnLeRPOOgtJZ545fg35hnc89RTa8ycDtnIOKWVOv/hio3s6+N57qGbG2rTZ8fwLKZQaEBenlCQV0sq9tLyNVtX85urIaCOopuaUaHiegYEhgrddurIiM3oU1t6n2r+LA2MEWZ6GZRGSG4oho3AGExAJTCbEsRzMkGUl5ymt6MCr72QTtB/60YEXKduj7JjCWvGmcLM/mYki1u4vFuoEWKQUyNuT4ArnNCd+Y/K+9WuGpWRcC1knjxEIbrWQVLv6zEgsoYaH6XlqyYB75p18i7/18XDA/dek8l51ei1Fr72GDtqid3f14dDhCWH3rjOvRXWfFy44KxannhSnMGR3EhDsYPxg2iRuPXiYIDoBBMclZ0PrnzxeSpZCodj8MuM505281eSaLxHmOmB2HXVn0lNxTDItDbcy4DZtKsXnXxSjxyC2dCGY/MgfQlhm/i6TL2oMQTtkvtJMe/gsnt2B8X4a5x8dqyiM6+0cJlH1fb2+px/v0vWyjIkSbRfLiajFtjQiD21M6pi2QDKqHRmnO+2hK1wNjQJMQMshTrKtBJ4K6syzxRPJEEsNoEC3nxuWE3CZnSbuhuYdLaf6PeYXNeGyK29DVvVcPvrUYuHxaw134M5LGo4DLyad/zTumurrmJbjf4XHp+U8x+Ikx4GXY9Gr/z88ZxGDmtL16zGoNZ+FsPTYgbNmIe2KK+DB2nG1JsHv1sFdaHNuJ9OlBc2txpOwxs4Rc3dUIfCd/RTgHFJoqUL1tYgFMYKeTZtHLxGVZXA4ShFOZ1oG25o5sPYa+1lGs+e559BBxou15kfWz4Kbb4YwKaTt2FGJDz/KRz7tUMtVFpy7r4jDz6+cPeles7Pr8eqrB40WVNNrezr2I+AgxWTbOhAe6wO7hiIMkbkhwobdIurL0oYeYZ5wU+Gy8kw0Rcyb0gZVBCojDnwIbV4uPCm6GkfRT88xxfhQWaBZe2/axyK4W07R4U3//hyVhdUY4MJtrrkx/RNK140yWoUa7nu6ydDp4sbcUPTUnhvSoYXL0TJnCU4bccBNq2IZ4Fl23xG77118b50Uy1MDExUAhmBGT3U16fIEsSiY9y9S2E+k44766LX29ukSwEO28hu4neOvmZm1VmqfDJkI+Fo/y9gRDHaD09MRQOClgOdqGXMk6qYeTieDIHMbz0ACAbG0jY4M86QgL7PU7Cf3hCC4JHmyLKkfbqHtaGpvQmkNmTHWq01oM+3F73DCVtPc/e9f14ymA4cm/bMrdRdGHTxY6kVBTAZfzRyXAqxpWPUQFJaIrrwcjNCqXDKhAu4Jg8aJAej8s1fC5dZL4OIdTwG/OI41HSghAMIGAi6ZdOOSkpajbUNEbTJm04rcj3pTBFykDRIAHBz0xrsfXEjr4CC6H1nuqMZmLTd7IjA8GQ3wY9Z3CYPIXoISndou2hDL3EDnL5NTXnFhAvVddJvU6W4trd14+tVsbiptAxFS4riBKLcNdIliuVvHgD2d0Ywf6FgBL9I3YuddVUeWmgr44hc6glkXEggb7VUANNHd8OL85UZwXlyp9BsCl3o/aPf6qTIjFs3PxJqTSgmK62ynrbWhXheUvxaA3izra4T+XF5ksMVSqNPJgv6J4XWryMx68uUszo26fm4mqF4sLoBjIIHc5kmLA6mbZEfR0T6ccRZLgYZlRppomj3zMYvzsovOdm68jfJ7U1gvJuu2jOd3KVaxlWwX0+bAf7tp/x7k0I3IHHgiv/HnfOjirdvkpHHNiOLaIetGCS1s8wmkqM3Nzjx+OTPvbmO/k9+KA8uuf/0Lwyb6T/JvsmGcrbIeCQgjrNqC4lYKadOymiVabdTfMIwnBOyva+jin26byu+sjQX9vwurKirCg3ov7hZZuAJqeJHRKyzQ5HgvsuB0NvMyD+zPasLHXxXii0+ol1Q156g2i7MiD2LxKnUdBhk7Mu04ElmRv/3HQBXlb4IswmAR5koQNTWkHEgPrFhz9bKlr3Zl1ePtDZVmWZhyb4/ckMqSrYkElTAN176bi7wK87pPEr/cekk80hMnyuDFNat47VqUHK7mOjLx28F4Ou1lnIb771jIOFKnF6clM3Y3GTL9BBiNv0MtWZK6uX6UDn4uZ12HxgGW1FHbRdgufQYhjwBV4ZXfIJEsEd28P7kJaKgksWJibOkuo2N6GQv87e/bUM/EnmG7/LJkLFrayATnJ5N0qVoKh5H5PEux9UmSUSY7Rgi+uHhiGV3OhO3SQrBlz4E67D7YiCLGliXB7ugeYx1HerYhJrAUnfYmAD7n4lD+Dk2OcNihXnLEqQkVLHluMHCw1N+3iC4HUFftD5fFY/GsYKvx3VQ7S9bAx188hM8/fhLZNceBl6n2n7Xjn8A91g45Jv/+azx2TM47HSc9DrxMRy/+HzlHOzeima+8gu4jzNK70qZSBPUk+6QWtLYPdeC96o0oaZKN3+TIWXKRqVl2iPtoC4VDWxkMWRYKi6PtaliI2NhOBMijDMTsWbtui2igpdc6QlrAPvZF436dzaCl5sHM3qI77oArqduGbd2Le7Etk/Z6XBwNLW3lmJggDf75mwzMmBE2fv95eY14mTXeXcweWGrR/bkY2reZm1cveNi1USytCnYuruhieUQTM0j6vnWOjEH3Kdeg20o/ml7Lt60ULts+RrDrCMINHIXE1WopxeV8LJSmaWnd+MZfmV3KyUJ3C2umVegVo9Qf6Qpwh6en2P8ZX73VoORI/y/2DHQih5n9iFuKC285l84DgVbBtU4K6+55+WWdtovKpljOrbBKCGyIoN2rVPg/gRmxowFeNpNefxHHgrgj6Bkq1saO6b87ciMUTmFKLwGXmHEWS+g8/mnmfklKjCwBJmKhuYSb/QCmVY2+PwZ4o6QNOwV7w31GILRefegOrGe2v4vnN6+dIQHRbFK+zQWO+ntvrxjBvqeyWDZkvNmTf/dhKWB7wSF0tXdyXA/CoZfiu9Tr0Li7wjkqDv35WYq4rWELu+kszLyNItkCkPG9d3XGIq/AC9v3udINie5X05SV9qZj1JpT3oO2p0FxVdPDB7mHl2P9xjhEU48oPtoL3RaE/yRbXlbVjsbmyQKCsrE6bWUorr44RQGK/vNh/iTNJ3luN7K/fn/PPPj4qLtpTHUM6Y/v6mLZAplzSomODS2VdO88RaPAOuAQxlKkXm4+2tQscKdZ48X01qvrtCirNM68OnMPcdIvetHv1QlXAnkO7HtZPQRncKbmiwBrMgc7d1JknDbLXV2T15aMOdlITBSGVo+yGZbsq6U2TNCl9GU/9OXYznTxmDNHKS9yskHjS64tgu3PEYjPLTb+TtuYZS4sblP0v2YkeCGUbES9kOuKVfsRHHKAn88EyNLbG4SgN12Qas9vj3bYhm2EjBeNiYVtCTVcnuMH0WfCdpHfrRkaxNkUOz9Mh78c/tGS2afWHPmM/nxexzGgXGymvaOjsZMgijjQqbUZzLrHsdxQ32SO3k+2Qv3u3ZMOt+d5lxE08g4KsvieFKCd61BZZQeKy1gSSxBmHzeWJWT/dfO7PxIdF7ULCpvTj4LU0RFeirXtVJvoWUSFuSNF2DAx3mikOPe9992HvUWzjgp4mR2VhRNW30KBegddCRD/CKAizBUpBRJgxYflT15krkwnsGLL87/+3wLszG43e2gC2cF3UAdLWJHSPvy2FJv20r3QgiXbGcuCcfaKqElAdtbTa7Ht3xsIUBoDxYkPPYAzLjZ26qyhVtwhjrvhsVK4AZbfHMxpNtL0svOi7fTqa+DPEuhCE7A6rOMQ/Kt2IZrv0xyAm0p2dNyKFTYBvGod9Omnedi0meVWBs8TSF2hh3+7hGWS33LMfM8+0K9Ldti7th4tWTpNwPHva4TA0fLr4bb4LIJ9jSzXa6NAtcSQuiPa2ZfFLPUZGANfFoaWYNSthQxk4z604/sIJ/gymuuD/lw/VaZoO12OyinG2zkG1LtxPIoYdYAfYwGWRQdxHN53XhSTPZbnXVvGlf6YDrJa175JAebqbuzctPY48DKVzrPx2H/hfhuPnN7D7sbfp/eE03i248DLNHbm/4VTdRHlz2Y2qjUnB6O21CSYdgo3eSmXXIJYlt2YsiL2McPxVQHZHDF1GDIT7SjgS3EY/N9bD7dK8wFtIEVAk+J8VLPEoyw5AjOKR1N6lE2Ly4qvv7b6yjXMFC5iPboXXX5MWyMpsU8+tQdZtd0oq53MALl8ZRDuZqbFzc0FBQVNCuii1VouB3B1HkFozodU6dciku4b9Szz6WZtem9gNLQa2reO7SfsmXJxvOB6NDpNzeVJSg3SDn8E/44qZoodjYKCyJUrMZP1+tYy8/VUu3/5JdZJl2RipCwbPW0TLKoRag40jQWlXgRexCbSEHwRxkGbQcmRAxf0YG4yhqmXI82TFPbLf3cdYuZOZgtN6v/Dh3HwP//BgJkgfzz4YGD+bx47ymArxP3INr/1ZLd0E8C51M9Pp1sgkYsZwMfcoPIgoBWWlASNCc2rj5uv7a29sGQuI0KFkqV04ntP5bflJ2KY5ho3U+V05OkN8YVHCsE7iss6+XbxljsJPhhn0FzJFpiZ4E32gGWW0aH/tKNuy0E+snFA5uzjBztNAKpzqPHEoe1eQQcurW4T6Tc3A4N11KzQTgA2I6F+cEz1w+KHVsLRW6uUADSSNTY6KmASXWZoP9/SEoumpkCWXXAD3eNssbTNXBcE0RZ60bwCePh8TTCEYp2sU1c+nRFXvPfRRQQrdL9cc2IoM5kse7MQ6LfTwlqy6nr7agm0PVhmEBbiTotodzz86wwKnXrhhdczkZ3bpmo3e9LyMFx4dqLNpSfWJqZ+ih+8RI2o7ALzmxrDc8xIdFdsUIV1ZK1J31EoBY0d6mygY8l40d9bHTVfyph9FkZLJN1k0k/v5hxIFghZTGrgpIbgi+uoE7o3RYBa1JPa7PR8pKTsIBg5kQ2XchB/M+DLYJcLyl7x5Saj3Fp3jf+7B4HZeIpoOtlgs6z/0fqNJfhiY7XqGG8nENtMq+iZFB7vNRCfDyGzbeWqr7g5NWavtq1fgKidh5AS4arQ+MfnPwLqdgQwNEycSBOg4tkearAZCGzqj/Vk5z5Ea1kv/kZ0s3b/858o37oVXQT/1Zob50RvJmKUDT3nHRHebWYyQ20z6pOcjCVMYBjGDY3UD9tH9qKaRlbcGWcghWXO1tYjw/sqLW/BBpZplFV0s4Sin+U8/Yreh9g4y9pzRI2fjNhJC9PQn5tIW5hS1q4jII7o2+3gZnHr4bSjAl6uWF2O5597iuW9uvVc/kzY2Fv/3q3d69H8eztZSU+8nYv6FvNxz0UnheOkRaHIpkPc65+XUUfFfEIuMdINv7o8VdnIm7av3/wapa++gb7Wie9C2DEn3Xw+Zlz/80nxai6FWMvIApc4uKKaTLtaAgsma7r/nLnoSFlNxsvE2PGhpqHL3o8xM5ai1gbfmeH9BJH1No86eUfDzhYjh8f+tRNtJu56t94yG2ks1ekb/g8cnCjqazeMpnwCR+u4BvcYxGJc0wZGqK928aXYvP8EliJPTviNsIM6VpB56+GqJCZcHAaxOCIf7SolRw78fsIYq9ltj0BbpdOkkqMR9l0LX0sLGaABZFCJ1p8pc2p5ig8uZYmuOUHuqYy1QYJlz1H8P28MtD4OvEyl92w/9h94wPaDp/HI+/DoNJ5tek91HHiZ3v78P3E2xW7vs89QwfIjNfE7WzohZOFCpLFO23VMuE9q09e+kUUBrSGEntQGrc9klwU5r+i69FFk1257GNLydyDgEOvITSJpydzM4uZMbXHV39sIs22j11wDDQO9qS5uJd9/j/z337cKPAkDZMGddyKQFprmmtTivvVpIXKqeiexXuJJUb3pkkRqCvjhpZey0E66qrUWPlSKgLItiE3wQ+WBTLTUt2CY4qQD0WlcRCeCKM2ik9CatJwbEWtnnPj3QE+6sXg2oHfjJ5MsmB1Ii19KCri3CsCkdoVM2mr/h8892tkG3+ZD6C8mAOPKchOTQEQyb46sDTcM/8SpoodlR7KQB7VRZHBMC0h/nXBuaJdceDJSzjsP7qwJsBR4l3IMF33zDQap42KpvbxzJxJYamTZR8H8GQRKKCG1/lqWLUmd+ABFIEUIUpyMFDtrC1QVO2ZuA+gSFszMrZ2JLo1csayiHbV0D2hjVrvPTDmK1NtLJlvfj2kEQHwtgC8i0JdPYetW2no60zbXOdIfHhyHHokauMd1wN6ZIMwIwRjoyv7SaDNtSby6u4luNn8n66Vz8netiZ2JmswcOFZ1wamOTjNjwaubHxk4yWnoztqjdKx8s3Z0/hhhls5jdjxcllLbZ1idUm5nx83iKJlTXaEMPCMI0ARwAxXI7J+AJObfk6+XZNlIDWc2+YQTPyAdmwK/HGeddGgQYeiykgx8tmGWUuYoLZQZxAxqC2kNHCRMzz7Cvqxr1BKs6YW7q70CuAQzC6rfgGXQDv26K2bw/nrxzEsHCCyqM9oeIkATGc7SQRtKXCyN5UEypV57Lw/7D1l29dGfIyWejkScnyxpM+mP9aP1tYbZ8TrqT5hrxxJ4EQq/D8djOm2fB1kKk5PXARdqGY3EMxs9apkpGFwYz/IBDTdQxuBiWmoJ0tPoZmIAuuiejUmARG8Cmsab6cEuV5S+6IWBgjF0zoYpVkCXuGuv5bdmezZXyqqeeYUlRmYYVzJMLj4jCpuZ9W5qMV471py2C14+E8LocoutLQnwf2sQmtISzEjxh/uYRa/y7VFXxfmii5S18iDZLq8RgBtUmWsuoV7TCo0wFXUzTXtZGfY+/jjqc3PRQ5ahWvNNS4MrExQj/E2TlHMSiJF+MBznAsosuvdeBMTGjp9CyoV2Ul+tjec2bZLwkPIINwvCwIa/aSFwvWFTCZkuTUbZeHFMlJI0cX4Tp6RafqNagrB6ENXaq9VoaLMd6s5vnuWdR/ndql1rOsR1FyfnsMziRW52Paw9zo/y7wdyG/HGF+Wcf80DKrdeFIMPNtag0QRkMLxhcUO696pkOidNfk5hJv6FIEXIoS/Rdzhn/GdBTAQlJfoj5Q9/gCdt0A2bjD8R66/evRdZ1IURe3DT5s25qDt9NbqCqMXG+3exoxBt9ifwRzvZS+pjwpVOoIs51t1pTnG07d//PojdexpIjp24t7QZfrj55gyu1yPo6n8Zzi6F2PtcHVoO5SpLr6x3Mt77+MdvaRp8TvREackSHMqZpcomHWZ81r4qDAVjpZFRXq2IDiibXHLEh3FmwBlazajhB4IvbRP3JN/YElpBJ6X44d2d9dBK7ZGZduPqcMxmUnWqcbvh6WQP885/8/HDrgmU/TjwcrSjTf33f8Nvj82JrZz1N/jzj3JdWy56HHixpZeOH6PaAyKaepjCu9Y2rea6z40L2SyCHx5hkYpSf2GZjh7u5j0Cr1V11CMxDoA93R3QTfcPoYe7cSPVccAX6W25iNm/CXbdOt0BiW1mpVLXxdO6HbMcP8KsmCOp1HrtFWuvuvrAAYViairMqva72aROR9J1xVp7bu1ufLmncZLWizzLiUmkWnLT3NQ0YJUgQUkUzNVuRAg3xTUV1ag/XKBk6e2Cw9HrFTKelXei5eHAGdehY8gyS0F/364MPk+e5YuVFL09uG6tqrBc9OrVSKNj01Syi598VcSFr04JWDSx3RjO343+6ipSfSc2CVIPL3RnYejol2IJDrpIW/VpoKOMCeiiv+eZ1PbxpnBeCjcLkbRB1DCLbC7wzSYdvobvdciCftF0AS/XUeNF35Ra8LFyJtFOEiBGsboWZGAMHRBthTBuTDyF0q+CGLQyg1RAMc0haqPYEXBsDXTDgEmA70Y3CU9uogz/s/SlgC8+FsAXqZfP5bkNxZ/tSHnSEIhxSQ2FZwqBkXi6JYVqKaI4gMRodScO/fPmfcIa+G+42RsT05X/Lu9SS3cjF00UhjZuY/mU7t3LvYoYoE/aTHQ3EPxooeAhr9nnMsCNETfQ9o6IvfFE2HnZwthgBpdsmNERN7S2RZIRE4Z6Oou1tHqPB5IetEaODHdDQyOZQwSb0lPLkTrjm3ER0l7aZNIgDJ/890IcLjT+bpbPD6TTkZOq3aX+WZydmM2jmLWUZal9I7f+PBUzU4PwMS1Qt+yqVQQaTVsSGWy3Xz/7qLJ9Aqi9/XE+ttNVzZaWTNCltIqiopYxC+VUssnwIhBVZcVierqBFyl5i49wx4xYTyRGeZK+7zluK/rBlgPIcctVxHQtNZfCcJa8ucKDDBl3joXqMd2t9NQiZoe3qoAu+rPZ0creS3FlkTbc7YaSdZ7onwroQkBWYbrYWF4k15ESo6dfyeS3b75M7ORlIbjo7CS6a3XiJa6vDRRz17eY2DosWrJRAU8NW93nKxG+ZTuc+nuQNiOAfaEriZFSRDz8MJwJ/v6T30KFyrwRyoX5Ac4PpoLAJRs2oPijj1BHsVxTXQw5tyQogujg1EmB+g66GTnyfwcQiNIYgFBRdJhLZ4mw4bdTRWZMtqzFJm5Mcs4Z1HOLpRuMNbBDtDA2b6vA1p21zOhbZpMKqCflmpIp7+GmtFbmCgpSK2WIJow3KY8MpTC2lDpbSgDZ8g1aOmY6gBfReDnjvDtxw1WpiI060mLao30Sy79/h7HClsxWs+50jc1dSOC3r+0xD87ceH40MsZcyUyvtm1XJd77pBhSRh2ct5GJER3rclaauEwxBqO7ZyTHn+lmX9y03rn7ERRl0hjCRFhKWI29nMeHmPDSnHYNWu39EVrzA3pz9iODQtfmWKLzyZAOYaJlOloZ3eqeW7ufwvXGE/iDDyxEVJQf77gFlYeobfLqJvSwfL+3f1hxApN12UHjipgbFzLY1vVFTvbF1EQKVk1cDBPUajwhjLp8urVxQRg1rVwnlxzJv7nx2wnLdoc204frpgOWzAvC0vlh4/pFm7Ma8NlelveambLFde6hC2MQyPjO2vdtrg+/21qOj76qMBpPx4GX6Rhxk8/xF/zu2JzYylkfwh9/lOvactHjwIstvfT/6DGd3MRpj1AMV//IXswYeZpokxh2h2hlZL37rrIZPxLdCnui5G0JJ2J/SyDrqScWTd8ElhzMqWftqG7BEHciCW70CX/xFnHNiUJDETdgw42Ym/U1HBi4JdBtRUTrpjIhD5PC7EAAyJllIJZ+18xadaE12yKKmkw2TwIXa1vuo4biiI/8azcOksovNeX6Jir5HqSBhrqMMuNKoMlMJlx//JI4qsdnfkU1f2blcjIVZoUItA3FpTHbq98sst8uuBZ1LtYtwmXzmxHrjrPnByOEG4tqCXTffHMSrduRoMZyUtE92H9Tbc+/cRA7ydTI9KI4H6+XcnA7AvZupdiolgCbbvMp4qpSd67vS5G4i+ruZxamfVy3wPS6Yvk7Nz1ACXrdyMJJpEZBCNlN5oR399LpqJkbA1Obaf15jwXwYnrPitYANxHCghFtGXdS+4MpaOcoltYqoEs/s3Q5eS3j7As5nx1Blhbq7gyOoSyO3AhJrb7oiZg2Me8U8MXLAvjSw02W2EyrAQFyPkeyaJwCpSTJH/GL/ZG4iOK4vmJZ3WNQP667cm+7HXb/4zD6WurHb6WXIIqW9qxhHsnooc33EIM/aeKAIffuwM2o+8y5aKrIo+4PHREMxD995sQh8PQwC5ti9dFoRw8GKUsaGPDhOIslcy0MFZWBqKy1IxAjzkXA6ad+SbBuopRRhFdLy+Lx+jvzJ+mweLDPVy0OQbuKA0cQSx5PWhaGJQws33g/FwdZSqTGuJHSyAdvF5DWAU+8sJe2teoCtjdeMwNz0oOnBHDqe0HG10dfFuLbLerMA9PeSo7zYLlOj02aOaI/EU5NrbIG685I0wG8zPbZiQuuvBdzkn2QkexLgU2dpajhxrx/tB/bB3cju6HWrOCuMr9QTLc703+cxeDlYQ9fMisD/PcjIXEXx5d1MWEBxXxd/FG2jkyXomqbp0FPzkkCujjaKKSrP/H6jaX44rsq1bI0OSaM2gj33DybrBVdAqKWNrcvv04b4tqJBMXZ526ktWyR0b3WVc5G8H/pdJaTB2eyNdJThfmiE68eJZCx9/wL8D4FdYdV5pNfslYww3VywkPiggNcNxu4fjQSWOlXYRe6UkC0m3pbehBF9F8CCb44829hrywne0XPjpV7GeTatoPivSKQbtpEU20pGQPOFvpUvoUde6qxcUslmWb9ZvvR3IuUx5c1RrRh+jgPd1CYd5gbbE+KlwcHuSlW8LJ8ddCpTYBiOd6dWk3eXMdEPF6yCMIoEGaBjFmxWpZNqDATurjjFNtrDf+3CNbKzC1lTiKcLscbtukCXkRcV9jEt/0iTWHV/dRaDwGyJ98+jAoVC/tyupnVsBwsNdpDKd3sVWHGnLIgEBeujlGdNwWMfuyZ3XSL6hYPRcyu+gp9hUVKzJHG8a+UwRFQSH7kEXiQjWLYmljOs/axzzGy/VP0CTJv0EQYWTu2Jti5WDpSJAAAIABJREFUuCNw1clo3bQekdS/CjfRHtT/LOHcc5F02mlHNL+be2fPPLMLuXnGuokrTgzHxRenKg6I3/z9EXQUfEYwt88IOgo8MR3eyzwIwugQkEEmSDL3X0UBYZ3IsGkbYpxRtTQEdUyKaGjwsIwlR62OKnMnB3QgDTLOaJ2JRbSE91AR6H9xfQmy+D7MVfclh7rhtjOjjigJcTCnAa+8VzBpXTsOvBybr/5P+MOxObGVsz6M3/8o17XloseBF1t66f/RY+666y48RbcDB8cjo5AOD3XjygsS8fjjj1FgTVdvqZat1ZceVbJsQy82ZmuX1VPnpLSSG7UZi9GdsHzcmUF+H36iFtrAJloVMmPgYsfyEuNshtMAHW12RHDjRj0Iux6cq92N2YO1qptMq/fD4G6YooYuiYmqz6htaNAp2VvRA5HrRFC/ZhaF0abC/vjs83y8+GkxSqt1LJ9BZjTbpYyGG755YU4IYm14gJSSkPGj1lIyguBW8C3aSbu2qy1Gb5Muo23nF4he/6jxjJxm9mJ0zDkV3E9bbEFejjhvYSDmJugCD3nH2yh6KBlJ0yZ24Sm0A7UFZDL8rZzz9fZuvFiqNSqz8urWIjV7B1yyKSTcrrMh9qBVpQSu7ly0ZzA8cCEDpJilME0sCRG2h1oLZQAcR/FT/XvwJcAmDBhvATNMwAYBPAR8aRWbaWoTmLb/BfCiv6Yzgc4ElklFsByvh9oIWvZ5F//0ljOrJsjjGPqo5v6l6yxacRN8kW5RdF0YwJtrJGIgjQVDHhbAlw5qHeQSfLHFKSgp0Q/hs8JYlhQA1xhHeMS30xWhm1lsKQkaQfGGbpR8nknHEh2Dq5UUf8fqYbh0DcA1cQY6M/fo7Hxlc8Im49+Vltkt3Av0tlMI2bDRzSn2lytg7z/Zqtry6BanDp3OijgX9fVTmJllSVptGO8nlOwqB0RHbWPQZ8i4s8fWrefiy01OSobbtM0hy05sYfUAVQAFok8i42DJvPBxIc1GBulPvnSQzBf1j+/cU6OwZlU0du+rw4dfFKmK9vqS/fVblhx5TFFgUL61z78u5v2b9KGZjoqPdkU1Rb8pBWO1ie5TbIInimptOJhny/zuKRxu8CCV3jr4q3bxrrYanM9E7Buvrh1ntpgeJ9nnXX3c6Luwxo1NNBgqqcFg6nbk2MMN8i6uIR3Gc8jKZVmIizlAtpdtwsNDXdRr+D4K7g2NNs+DXrSMjrv66imDLjoXIwpSU3dErYkuxd03piMhzmST2ERtLQLd5dzQSJuRVo6Zs6SEamJzNDJCts+XpyJmG8uIKXgtDA/ZfMrmqJ9j6D/33o9D0TGTLps0PITbOM+Ys7/uZlLkwBNPoI0C/c10kBF2n745UDerjxpYEjsI4KKn5jnzvwfQvW0OtS5ily0zuqbifESmolqyZ+5ttyGcoI25VkPx5U+/LCJbqEPVucrqgDc5QOaSEOoILVsQgggK54ozWTPnNRG/rWD5ZDVtq4W5GR3uqZQZ6rQrQBYCQRkFeBHAxknRTOvlRriFLEYBbASkEdc4ScD0kYmQX8ySUjosGbbpBF7kvJ5kLtxwZSqS4mnb9RNrheXteP6DQvQYaLi0ijNVmXZ8bTppfgCGTZzhYkJdcefPUqgXpy5ofJBOka9RR0Y/d4d2FSMw73skhIo99kTpXwABkUgmcAxZLx8wbtu0vQHBLZkYyNrCZJduDpR+7Oa71OcJWCAPt+Eu2EckIimEIJuKxox/aioWcOzaaiFv6+vZs6cG771/mGW3uvlCcalilmsRdcMqMvMwsOVjxlP1jBXqOT3q7t/B1Q0xN3CSdTXWgeruCsCevZdyfKuXAg0QEClbGIIWgpAxPo2I9KsaLzmSMa8hkOhCZq6Gz59OvbQLhxfSGXPy/qSd8cDTnxehxoJw3RUnhGAZJQWm0l+VdGx85tUcaFXmzuPAi60jamrH/QF/mtoPpuno3+PhaTrT9J/mOPAy/X36kznjr0lZfPIdCuIdhS+90FBXrLlVKfcQJ4ekWG8kxvkqmwlTYKH20CEcJvtFjU6s1ind1E3IzicdcUgX9DqFRmF03ploGXRTNmXO1PzwP6UB9n79nCiZ6VERdnRt9kXHbn8lSLn3Buq1fP8t7KnZYa9CP7blxQyzXMaJ9eyGzIheBom7aTXYxY2vtRZA2vgClhgdSf3pfX/8AZsPtCpCnuJKoQcUIn1If+fzLGfmXKs1DrYduJC5Rnty4eyB17dvQzPYTscgnXWvACGjMSnosddlKBw9vTB83k0UYTVfhsXTYcUMH5w2L5gbU12mU1oFXSMOv/XWpBIrJw8PLCcFfar1yCKk9l5vP+1IndDeweCJ9qembjRB7Q0KA2YkNwe93T2IYMnVbGYZXYWSwCa1yNl5zWOgjTr4ks6aYW+K9BqO1WjS1mPIRpJ7NvzvIga5i+9ZrCVNrUz/V8CL2K7PoECxp0lmTerJB8iC6SArp4u6CYXbMlF+uAqDFH7VB3tGY5PZy4FIL35DBBWsDFoN30UaD3JTcSjR/7S5nS4pFZ0EQqx9AdzQxXnCj0AtPwIOOkcCKgQFKfDpGsWSsogOaj7sRl9DBfq56eiqGYBLOTdhdELx4Wapp55Wl7S0lrErWV55q32pEfCaP5s16LsmXdw7LRrB50QTZLJtgyzBnwTFwp5THEtMho09nBAS0s/gsIybMlpd97kSAHFDW2s8vvnubBQx+K8cYw0Y3ozYrZ5GkUE7OvmcvDyUm7DwcaaA4XEbNpVhPS2v1RhEcm+/v2suSxS88dzL+3G4oEPVnePc02JoaRwzpTlmA0VYP/laXeDUtFOjw+kO1dLHTL71dy1HpKR4Ir/aNtBFsr2fvfMY9mrpTON8hGUNA21Y5LsDX77/AjcL6poouQP5KHEspx7QxAs2BV/sCDJo9sWgqcb4C1m8YC+iIw9xDSAQwJKRbrodWWrD/W5ofCsAzXuKkBjrZaTfY+53XiytEfeiqa4TMg889VIm8kvMu42dvioc56yJVwX+ZV15hcyXotJOlteO4Oxz1jMxYzwuSoqXI/rrBjge0mldCLNDdCFaCAwcWLQE+666Gj0Gc4X03l1ku8SrsF0Mn7+KznDFjA86WZ7RRCBZzxx14lzXQm0X2RG6iCaXAQgs8+EZL70EDwPWbS/nwW2PPqoaZ0iJ0nyuv2qbsd7eATJcyrFxa42qq4pto33yUTMJul54VjyZLp54/o3/ciOeqaxNd910Oecaf+w+0KC4S8VEeqOsugTffr+ZgOYgTl+1AiuXEVwne/OVd98n86aZzBdXXH3R5YrTkwdjrA2bN+L7nXvwtwcfwIHsJuQVGWuRTTfwIk8nY/72n89ASpJOTPmn1L74vhxf7WhQ2ERSCptN564eA7t6sYZfOS+Azji6u9aQiXffNSmICJmwnDZ8HgGkZa7Nzp0oWRVgYmnDl0h2JVBioGNkT2ZvMpm97mPM3samLvxjLcFZ2rjb0SEssmYjtLkcx2yie6bX/bKnw49LW7ky3sNnpyIqPWmSNqLEUUvoCOk1JmA93X3+6KNbyHrrZcJtGK0ENaRMLpDM8IWDO9GZr/vOgwKbCbCKm9gwgk+aBc9FruOltob301CfisyDq5XnVmv9LPksnhWIDoIvSyMKMOKmhSO1zQRwcTAoGZd5Y/VgNFbYJ6kyVw4xsfbGpirq0KjHdk5E/B+6IAbBBMdsSXKKFfYzdPGrazSWMNA/w3HgZbpHne58v8Nfjs2JrZz1j3joR7muLRc9DrzY0kv/jx4zXcCL0FD1TdYhEcKSkp5kChgmxPiQmuo1nnkUZkg2nWLa6DZgSZRE6J3Z+c2kzxpTZ+2JtGuWnc0gL0pnhbmA2aNYKtVb2PF5FdLJZtlcAkK6LE0vtWdGP6AwJks2jqSNUFHenptfDTfmQ2QXiICaEhhaaZ60wlzIjIUhJdrabwz/PS+/CXf/fRf2UfRSD0bJv0ufz2P2ZZAbxXmsh+0kfVUyaD0MhNsZoPmTGpxYsQVOeXuoLZCFQSlNkd95+qAvNH4cwNGcfhmafLnom7mpOIqKXrgkBPG0oTZkrwzTRWfrP/6h2CCbNmFmJDMTNBW2i1LyQOHLTaSs61sN3WkqazpVBTxjqouQvGszfLL5d6SrUeZKAW1KpeRI/akkwzKX4qdOY2CN/noS6MSsWYNoWpMa6r/00LVr9wsvKBbchuP3mAMvfMmpLE+LoX2ktc2YbCDX/TsbI6Tse/U1sgS7AQ4EMuy01Hphv47y2/IlSBXE77PI3sE0ya/69l3HwBdhEplrtXSjKqMDlyVxWvmtAAgzqXsh2VojK3duqOy5seghbakm6wCBjzZoaltg38nvlNe3p+W555wMaPfsGHeHGKCLUX8wmTMsRRghUNvTNLmMI/a6k2AfaP1bl2BYbEYlq2zuGVxdNAgJLmKJnn5jK9pCDmioXUOGVSQtZr2wJ9ONpSus3R8DjOWZJQg8i+4a990yB15e5ksdZUP25Ev7UTSmZ2Xa1zPp2nDjVWmoZj8/zw1yhwnQKsdLCdbv7s5goGz8nZp7b9/9UIYPWc9ui4lWZJgLNwyD6FCxgVY7f/oMbxyuElcp6zNdCN2OBnngF+8+juyeE44KeJnltg2nX3YPbjo3FjHh3kYXrxmqw0FkY8hxMmBiCL64HY5EU7Gz0VhYMDcbsbF7+Dy6nZuh1bTaE470uqL+bQIHe4vH/1nAl5Ag8yxTbzJdYsh0cZpieZFcQFyMPmeJkbnlMJL2tHffOJsONebtijs7+1l2RPCmUMv1pADxSfK9TbD8+vvdUf7FqUjd+xXnGF3G24lg5SDFte2Yqc68736UxsSOP+8ipvWvJNvF2rwlPzj0+utoplC5luBJM9mFUsLRxXJlERuXJqXHLmSfyiQidtCRZI8Gkqk4m6wXlzENnMMU9i/78stJr0PKapdQ4N1PXAsNmujh7NlfQ8CjkhvOyWxG6yNX/YiQQBecdWo05swMVhI1+w8Vcl7+DOv+cTfniVr88Yk38ObTD3J8jRBUEZekPtz6wD/w1J/uVoChOx9+DE/9+W58+OUm2pvb45Jz1uCzb7dQi6cN55y6mgDRVpZ5u+KDz7/Bc3/9HfbSzndPprE207EAXuRpXVhm9qtr0xAf+9Nivkjs8ORb2cgr70EBQfAmauyYLnCxYW5IZjKqmxv2q86IxLK5Aoirpx+KSlqwlgLVhuCNPP/lqW3wPEznxTG7aP0ICCbjJYzxjoz19z/Lx2aCQHp9H81IN5kyn8GuvdGI7eLe34jBpnoljgvwc0EkYw759g2TO3NuvpmgzOwpxVG2jlttZx9ee+sQx38V6llWp2dsJnm3I127lfHiBOMtIqyO8Ws/Ym9ZgFGNMdvF8HrFxSuQnz/LrIPUwGw/NGcEw8efGljuNIagNptak2jjmt4MJLupl8+++0MltuczvjODfSeEuOJXLDnSWJlLRcvpudezUDTG9lO7l+PAi60jamrH/RZ/m9oPpunoP+M303Sm6T/NceBl+vv0J3PGYwG8mD6cE7MjftzkCRsmkc4miVQbd7YfQS7tlhv27jUrQltY2opG1uWai9dd0hfBfeFKNHHud0/tQE9EIwED9aOTCTxcFnQqPJ0ngt3BeurDkKHhqFIaY8sLGmXmYZiW07kMfhp2Tc60m57DmSDNkrvvhifFB4+0tbX14I6HNmPLoTayXowBqShfMlvI+09Oop4GMxVVrGPuGLZHPBX3/Rz6Ef7Dmxgup4gkxWn1zS46Ed2OOh8e54QZ6Fp+MQXLJvehGAmdS4ruilnBqsFzBQPlwwTTTAWFBZha/tvfwtWCBpBpX0gQ+hGZLptVrEgLS5gJpX2nqVBhYE8/NXwa4FaeA9/GLCT4C5l4opUwAGtopqW0mZKjiDAP0rw9VLMiIvCcTJZTCCnt+o1DKxkv+159FQMEYfTtWAIvGmZ5Z3GsBbLe2VrmRnQBnnk1E8XlE5RzKS2QDaJnfyu8O2uUP+k+3dDYjaKeIFwRg3pbmjuD2hlCB7YAvpRJPT0zRtY22gIMzkqkFbUBa2r8HrhJKcgvRGsWnYxYouBIVo6DaLrYD8IvNYF2nq0YqK/GiDtBGlpVj9rxW2DgHDBrGZqzKMBr0jziQxF2afIke1z9YVJSJHG3MFwsg0YsGQgchZvHYaMrDA36o6YmkawagjEsSRoYdEBJaRDBkWCUVfqRFROkMC+EPv7ALTPJlvC1GEDnF7bgpXdI/TaTMbzhZ8nImBWCD+i6sHU3N6Uq3+z8OYH4+WWpZjWL9A/w/bZyvP9luU1MpZAAZwwQGGpVAXvUxk/6DK8x0MUap0qchuzhxs17beswdn75xLQAL4vPvBPeFFz/1UXx4xnttpF27B7aj35n83SdKo7hht1u6DjobVRqMoeW0clJZNiZaLqYA19G+txQ/x+CLrsnl1+aY74I0yWB7kXWvnO1/q6ki9ETdLfrMVNuKhu7e2+mO1K09c2yuMK9+mYmSsubcMbZn/FyupIsfcs/fDpivy+FRkk4sACBJQRtLNXw8XFGz8L52HXd9QrrxYETwUNcmUPoZGRL62MyZB9Ljga4Pnf29qKB4EuHJGkMmpO3t2Kp7U/2iqyno2SHhLLsMv3KK5W5Ycff/45h/ta0mQq8yyY9k2UkG7l5K6+iXoSZ9cGW+za6P7Iozjg5imyVCDJ/J9ija8l2CfT3xsVnrVQOP+eaB/HeukfGEwX7sgrw3n834a8P3KBotfztubdxwsJZeOvjr3HLNZeSKUXB77YO/OXJl/Dn++9g8mWQ84o7rrr9Ybz02CMK8LKN84FhO1bAi1xDmE63kC2Skhh4TACBqfa7/vhqWsXf/9QBZBVRB85MFmnJTF8snRuAn5+daBEQfPOdQ9hOYwPD5uvthN/eMQclzzyFQeoOGTYHJmyE9dJDY4K/PbtvEuvDb6AWAYXr0VirAxJdhrlmNFay5GhYYcG4ca0TBEaSPqPdujVcxu2M88+3Cbi0tc8kziqr7KBLVz2ZUi1ooevh/v31dPXTdZiwmpaPbodjU5liaa3HpezthzH/mkj4LNGqsl0Mr5+Tcy7XQSZIBydiygCWNi+jns7ieaH4ht/JTjKaXVHBWKQYPSpAuJzPdcQdt/RlINhjssuTiP0+/VkhSi0Itl+yLBgraPxgruRI4snX3svBnizLLn7HgRdbR9fUjnsA/5jaD6bp6Edx3zSdafpPcxx4mf4+/cmc8X8BvBg+rE5wzo4sGC86PXjDoykbbTu+Z6aaomUGGYdashvKq1i2YOIEYLTAcePmExOF9uTV6LD3RdApjeg0qTeV4wP8nMm8objicCAW2s8zWrxEq6Pn88/hSPtnuyMoPcrlprWSmTk7BkSWAmWxUp5/xx0WbaOtDQqtthfPP78PJaRX5rf0I7vQuHRCdG4WxWnQyYVslMFY/7Ad3TbopsLNXkzNXrhmfoOOTFprjzU7sgf6o1KV2mcHYRpccitDa+PMsLg0zI1xx3mLQxHoo07ZF8bPNooYqrFdEqmXksSyHVvZLhIMvMP6he18BrUmLKhcbkrbtRNlC8EUGkw7UI++MV0MDTdFC91L4dvBcqAxZo/CnmLJUaeUo6k2O8yhO4GH4uyjvkn0nzFDEeD1jYpSxlAFAbcCZlUHxoQgjxXw4k8q/czLLoMHwRdb2ruf5mHL7kazIJOc4/ZfpCAh2Blthw8r+jCluXko43uUdzlC9pKl5s3NSirHmqMZW2r5rdTaN7Rar0MRZtwszgMS2Jm28pJalg7tx6C2U2G3iJWslBg4e3kgcOVysl62YTjJD0Ma2WDp7tk9PIosaHt015dPOl/01SfCMUwC2Ykg0I3UZiE6id2upblGfzKNswZhoaVkuxizZ9paM1gON8Qz69JuQnFXnJXIhPFiII5Rb9pPx6OpOYiigvG49tJ5VkX/3v4oFzv2N6kyvETUUQJ/hsd4/Pk91HVQz9LfccNMbooCzM5N2yke+p9PS2yzgfZ1UvqqocUG+yLe2YxkLxTQ+UcERa01Ju25IaXFcoNuzEwn8CLnEyeiG1huFksW5rb+XejUWC478x8io2JfKN7+jKVIYxu39NRiaplwrRpVp6HLuiZ/usbKjoZZftbwH5bf7KV7h5lmCr4cDdNFdD7Exaiw1PyznbM6EmecEmfzfNxPgcvX3zoIF/fvERFJls/YdyaP09UViLJvVmDO3i9YytiNFoL9eoKXDzVKCn5zL4oTk7CaJUbnOBM4tQDWmnZPQ1YW8uhG1EWWS+WePfyeKbZtuIPmXOBJ22hhBhgyDmK41vSyXEMtEeJAB6QTROBd2DJsVWQFfvFtCfIKRcfFgn+8tcFr8O8yJabTLe/c0+IQHuY9qZ//8PgbBFJm4qTlGcqvrrnjUfzlN79ERKiuZGf9pt3Iyi3Bb267Qvnfz732CcsK/fHKO+ux9tG7eZ/23BgP47aH/oqn//yQUq4kQrzX3/MInv/b7ynM3fw/BV70j34zLZhnp4fYPK6m0KVHdGhFbRcefeUg9hym6LuZdysOa2//eSHiosyvq3UEcB4jeGKqlXTeGTE47ZR41Hz9NRq++gqjJppvIUzU7B6KxndbyHYxyUDERzM2y9mBvgNbgf5uODeXYYisGfk8Anyp7TO2ropgdDgdDkWsd+Gddyqs2+loYou9/1A99h5soHZit5HteXFxCxroBCmfWpx7K8LKv1VKnnzJwhGdIWlOBD9czrsIi5dtJEDUYPWWDhz4GXWM/BBLV7nl1HaZk841UCNAju58r9Jt9ADjvaCRveh1asMQk0FqLWg4HtcPRsHHfXIcml+lxSvfloNyPqpNYuMHWHIUHqATWDdsElus31SKr3/QAWjynHKI/C23KGw4Ya5KDLlj4/M4WD3vqKQZ7rykAU8QWD7eJnrgfvzrR+mOv+PuH+W6tlz0OPBiSy/9iMe8/t4GorXruWnUTcxXX3QqLj33JJZlNODBR18mFb0L8+ek4He/vnrSwvi/Bl5Mu0kWm3CnDgTXbYNDax1ps86KSJzUKRvS9NW614firuISItaSmiWnoicuEU6Lq9E7OrEpd2cmO530Z71Q2Yz+JCQ4Tw48+4R5Q9vrqZQeVXCxLWC2b4SZNWG/2MXFwYH3Mqlx9p5FGnQU6eNH2rpZ471u3T4UFOg2fG0MuA4Ua5ml0D2rbIIDIt3h5OnEzd0AM8dOWL48nBtaZ7iSDRC3/TV00wlowMDByi4sBj1utAvkOqc58Qy0RM83EkcN93HCOQuDMIt6PZZApbJt25DHunxTy04N65wVtgsFEG1pg1zt3yLostcM6KI/h2QCDxc0KwFDMJkuaczS9LVP3gxescIVjiW7oaXTlGQ/W9v7qFswWSdGf14PNyfMok6BtQ1COIP9BFqMuzMwKvziCwWAEavn6QZehGIff9ZZSDr1VJuz3/uz6vDvjyiyaybjLc8q+iIXnWUsEC3aNV/m5qOQwpZu/ONQVKA4Xg3RtlsCE9Pmx/+WzMDEwQz4IoK0eSzvajdhZamNA2GbpLHkydmg1Kunoxsde7PQSjp7exEBtLEfivOSBETeSYnoIwjSXt9MeSpXODED6eBJZozbAALmLULT/i2TLuUWHYSIK9LISulQaPLyRwLqqWS5A/xoh+wt+kgTfTI87InamnQMDuto1xKsiWaQOEqJVaih7pSdnZNiWx0dno4g33QCGQn8dnVOGqaAX4e2H4+v20/qtzqAtfqEUJx3ejy2767Bp+tLVTUpwmhX+5s7MlRp1nsP1uLND4psciTypvuGu7s9yzBs02lJSfRECY8lFmC1CeEpPNgVRXUTzzndwIv+vZxxFefqYAITFghemhFnLB1aCC9nT+xi+cmbH5XQuacQKckiMmsmsh97SnFKldLF1hoXNL/rg5ZM86CLvmOSyQINDKDLzaJFiCOrzdr8Y65Dv/quhC5G1WYBxDg6St3FEiNzrm3mzivf/4efboF/yBvckBkDjocyz0f8bpYDtRWj0wSwHl0wGyV3/Qp3sj+81dZFKyPj0Ntv4+Arr6BXmKmci4TJYkijC+Gm1IslQ4ZzkICz3Sxldudm1XTNSqLVbwKBmS7qV3yzuYx26bSjVRHBtjpgzRwQSvHc005mKXFGmNn5+q9Pv43FGanjwMvVv/orHn3wBjrY6ESOv9u6H8J60QMvz776CcJDA/idfq2UJLmTPSOMxrOveYAMl4cJ5vZSZNwJN//mj1jLUqND1MP7XzJeDLviussSsWBu2I8Ovkh88AzZgqW1fWglQzhHDYiUUtd4LyyeFYDbLk0y+0189Fke2VC1Rt+UK8H639+3EL5Mbg0xYZjNEuthAQYN2qDGHd9FnIvqZuO1U0pAo8KcaZDQj5j6TRjc9l/FoVDaONvF4DvySUrCqTRsCGSy52ibCLfvPlBHhksTWjoGKMg8eV2Xb+Pw4SYKUo9iKXaguzBfuawfgRfFPYv95rroVDT5zUJoaA2WLaFZhsmcYHifAnh4e/nC3eEuJMSqM4t6Ob+soz5fqfMgQob2ok1jPmGT3LcAP3PwIkNssgbhe1uqWHLUBmLF4zGLYeziT3Hqm04O5lxixwRcP7q7afPOsVJK/bjt+xqUtbqfjmGDrFnq498D3IdIOb+UbEo8I88+2PwBCpoWHAdejnYwmvz+Hvw4QNRj+PU0P8n0ne448DJ9fXlMziSLc1x0GKmti4zOf+2v/447rr8Is2fE465HnmN98Cou+jOMjvmxgRf9zTjRji60cSf6CrJp39qt0B2FxiqWsTrk2ThrKhuBTm6aDJNgbjPmwOms+eiIb2XeeUShSs5k9sljzOpSrmXH7OvywUXw00wWbVRKj1gu42hCa1Z7aQ1kBRzKycEw2S76NioZCToeOdBe2/B+ReMk5fTTj/jd99FeaN26vcilzez4tdgdhXQ0yinqghep3a4QcIW/AAAgAElEQVTMNtaRBSKLRxD7xoUslxkz/BFIC9Xo1ly4ffM6tMUTdHc7ghuDsWkYoHikc3AYetb8Al1DOu0ODfttzWxfnDQnCK5W6OGD3LBvY+DRzc26aUshSyN+5UqbArFevsg3+vpxyEDTxVKHiSNEb0494nYRdNGaz8A/ePsc2NUVooxuWmJFWpDfQJcjis2aYVLFRtFVgnaT1mj+Yo8dSypwFPUF8j/5BPW0QV23cSMSCMTpCrem3mQklZDdch03FJ4MtERANyA+3qb+k6u1UhRTHHEams1rFISHuCn6Dnr7V8O7lCDlDZZ47XMgq4Tvw7u0BB7U7HGiUK9TYYHChhFnJ30L5vHxSnZIfRcrwMNh2nl3GwgbmusVseZNpe6FbDplvDfty8FARQ2GA/3R1tlEhxMdqKEI73Hsjzq7wGvNaajdNAawKGwYljVQt8InNQ5ODBT7Ogr5AwniJu455qpl8E8d4YZrwCbAwfB+HR1cmMWuIDtMxAUnWkdbGkE9sszIBvAjWCnjRxzexHVEEYRWKQPSEPSZS+qzgwNFwkdYKjWcRCwgnpvIRDg6eI736ZadVfh4PfWrzABpv7ltFmKj/PDkC3voaCLMoMk9fOl5CVixlBtUA8ZBdl4jXn23wKaNp4hR+vs5oareOoNJrh5HtyM6E6tatprenUwvsRTqza82PvexAF78UtpgH92IqAgNgukuZY7ZtrCP4sUuIeO3mlfyEepbP+WcYRl00f9guMML7R94oHZvqc2TwPzL12DpPTcfMehSXtlOd8JDZkuMnERA9KZZiGKJ25G2vQefREcPy/hoL69vra3RKC09BYn7Pif4PVnvwfPmW3DmmiVH9FwH6Ui0n5lhRWCXA7ufa43eZto1NBRuLDdyIbjvQQc6ZQ4iG66N85UA7b5iQRs8oQkhgrxLHngA+7NbCbpUsFzVNgDRlr4SV7g1qyKwbFGEVfeUl97+gqCsuxKLSTv76gfwwUt/IAisS9gI2+XfH36Dx353s/K/H3nsdaxeMZ828xvwwO0/47ceyvWrHXc8/Azefu63ilX1ADeJp//sXryz9s9kg7Zh4/YaxQJYx7gje2zzWmRXkR13lAYKhjp+5vrl5xcnYPH8cJvXLFv6d6rHvPHfAuw+3K6I64pLno59aRwjxFDjJYLztMwBF54UhlMWh09axzqoDffok7vRNpbc0t/HSSeG4eJzU8aPryJjupFmDYqb4FgrrWhHSdwq1PikGmnxJUS7obK+l+8MiGrfD6e9n9LuvFJhWARyzdKzXfTn8SPwMv/22xG/apXVmEStn4RBnJ3bRIZLA3IK25V1xJr+Wm5uI3z76xBS+i2dxHRagK5kDHp7a8g2ZenlSddC26uLFVOSSzB75hYC0sZOWuJ0FkKHzSD+UdisowTkhm4lKK0uYNzMeGwdtec6HWugweSSo/HEyzAFhvvn4XQmafq5rnazHLKnZ4jz3iCTPP34eG89CrlOiZ6fgCXybYj9uojwS5l5PNexGQFM2DBmlBCwm2zp7HyWLaus0Yb9Ke9HAPKirNeRXTP3qL6l44yXySP1Ljw91c98Wo5/HL+alvMci5McB16ORa9O4zn//tw7WDQ3FSuXCvVc14a4IJ92xX347j0dhWvD5j1kCZTj7psuMbryTwV4kZsaZUDnWbcPfVmkgreMCelxkyWilM4aBx0Qw/9fWCyC1g+q7LddQkPg9YulqIum6G6it5HVn/7BvQc9sdxusWqQJAtVL1kMDqSQ2pkpuejgMfsIzgyq2EYrCwSZL/YMDCUYDGEWM4NZTGsbeXPDQTahr766H1lZE1oi+mP7CJCUEHwqI9ujeQx8EJAq2NcZnuwvO+p2LKR6/9wD/0br9xvISJnoMLugMPR6h7DPSY+/4Jdo0PB+2ddpEa5KWVFEoG324sUs0SqgSLGpw48r6+6XP/igTfTYbvbza0yN53LDb2tLIX09ans1NpMe2mdG0V7OJUJ1992cThtOJ5STmVL07Xc4sLOI4J75TWTGzAClztqW8ig3PqdYZVeTDv8YNV/iMzOPGnj5y5//jCQCdVOxQJRnXfdmFg7kGDtaGAUPfL/3Ul/Ekr5DL4OVdQTACg30dRw43l3JGPIicOdFMMaJ5Uki2iuMmFBqDMRwQ2+ur7oYGOUSfOlXya6ZvusgjltX6tBoK+rhWlnK8ToMO4Ip/ZEBaCPwI9eQDJoM1F53H7hExxIEsafD1OQNbuiJy9FCMIz2VmTD0C7bm8/gMwAnjuvQq9MZjlsX2jW9P38fR3j7UNtF9GTG2uiIC9ku8+Dq1sPMNAEXL43Rtz6hSTR5ZMeSgWAI8o2OUuSYbIuRkWjYCRBjTwadXSReeJNOcIXqoEpspLAYZqGUblKvvp1NsGcyxUTmzd/fM49W87qgN7+oBS/8+7BFVpT+bqUULCzEmU4rtgmOittRcx8DYhsOF2OaRAph55mALnLt6QZePFhi5jGrDt0E+KXFUHBRv/EyfDMpA7RydZoAO3sHNmDU4Ts0NreihH1sTbeot9ELLW87o4tlci4cy5IcsNZG0hagPGYFrrss6YjKNQaYoX3ypQO8P+PNj+F1Lzg9CqeujLVpTjN3v/2D+SitehK14io2thOy4xr05chdiPr2AIIOsBTJQNHXWWze7ekm+MBdzIzrWF22tibR0Hr2WaXEqDU3V7e+8KJ9nIeG+EfKPvvJbJF0jP+cOXBmOZ8wJhsomq/XGfNPSYEbAReZN/xPuxA76nz4nXRbLMG09f7kOPmuTj85EicuiVSstG1p+cWV+Ofad/Hyv+4lKFuFx154Dy8/di9Zba3M4msURsv5v/gt3nr2t5z/HXD5LX/C++t+T/Hc71nC1oubrz5XAWZ6CJDfeNXZ45dcddGd2Pj+4wobpojaeAWcc/cd0rn5bfvuuf8Z8CI3dOUF8VhOEMqW9dOWPpvKMTtYPvP+NxVGoO8AUY4c2oLrEwB+ZEem0nnTcDw+8PMkxEQYg5LrvyvGF19XKuVc+ibY9YO/noeI8IljRfQ5hw5asiZK62XMdvBwMwbdfNGw+pcKK1s/XkI5l1bU9MN3oB5Oez6B0zBd0dqq4NSnVUrGxoVU+AOJLfyZyJP7XHjPPQji/29r07LmZs/BOpYTNSpiuWoOeebO1U53QhEA1nLNNWyBFIr2OOEMNPnMNPqGlizMRGTUPh5Ke3Mm/QRs8fd1HUuSTCRMR4ZmwHH0uvG4Rs9G0f9dwfj0Va75DvZZ6HYgGEIXKNFe0f+RZJmUbfW1RcIrk9co1SquUAIkyXwkx3VxzqkhU6VehQGtf5ZlkS50Z9Q50eUUtFLE2woIy0eIDndHFA1Cjmu82DoCp3bcnXh2aj+YpqOfxG3TdKbpP81x4GX6+3Raz/jwP15FfWMrs65a1sn74Pd3/5wAhQNuvO9f+OjlPyrX2pOZj0/WbyWt9Xqja/+UgJcuRuuFLE8IGKxDQud+dFTVGt2rTOFC8xRKJpPpChtGv7iTEzN+rCuzzjF3nAjfc5JEYkG1JQ7EIsVRNjfqwWAvN9CjLJ8xLT3qYRC3nxk1NYaH4YVGSXX2JSNiyV130a73yGpzpWb/lVf2IzPTWNRQntmO4FM59xC5dGBoaiMTgQuOgC5CcxdWQASR/UGi+CcHMcP7w4voYZCqb5JVGSbbpY+2uJqMZWhPPxleXPTPJEizgJoZtm74BxgAb6OIYQ8dJ0zbDIocxrIkx1rw1cNA/RW+zLwpgC5zCLpcxYyHK3dua1/L5KZUa7FcZB7pxNdcnKiUW/SxJGjjax8i68vN6GhU33x7skxrZqr1kiPDZ/ZjkP/ERx8hmnaoR8N46aSTyfPUNpjKJkXuQyyIv6StojnnJjnmkrNjSHHnpt6Mho3+eToU8GUA5VI3YdLkK3NipONJ23Sf4kK4coMUxf8/mAK4ikaSys60VVylKviOzBCThgXsZHZWMrShnnYIbyqlg4nBJjLQF219zGC2dzAjSP6KKy2c7XUZ4rCVJ6B2y3Zj/Qf+dxeW/rmSLdOeV8C5kJbp8p1zjDmQiRJ54Wp4L3EkK6YFQyPCM7KuWeLA60WE1/MUxmN9oC8Z7q6hCPB3UH1nfeQ9H6K2UL8KOEgzKcxLD1DVt5FnGxlh/5MN08pA85vNjqREBzJIdFOYOobi0j87P07Z6LxJccB9WQz4VUCuZQuCccVFKaih9oGALq0dtmX846JcFFq8LS08lELHBHLbbHQ7mhnvguxK9fuYTuDF2WsAgYtroLUzFluNYGlIdMgEuy10KBjz7GaPszN6B77jmNkAe4U1BdSQxlNW3WVI+DDqlv42D1pGe6A9p0L57/L5uHA+Nq8rRTmimYtREX3C+Hd7JFoZ/91QhA3f15jNZCfRuv2OX862eV639K67+tehpn47RaN1/TDMzdiB0UXIyVuM8z5+nXpXuoSJtBBu4Ea5NuWccjkyLlyG5cuibZrXJPmxk+UVbXl5ynk6yGIRBznZoI0KCExnwMGmJgyPuck4UrvFn2W8bdSqMlyLZK7yTExGt3c0yhPPJ3PB+nduyzgX3bOFGUHUyolmidhksU9r53jixQ/w7ZZ9CtAiZUZJcRH4w79eR8bMJJx96lJ8/f1eavV8pMzTN19zLs48ebECtNz9h7Woqm0kWOuPJ/5wmwLS/O6fr3KTX0I9vDpaUYfirFMW44Yrz1ZckoQNk1/UivvuvwebdvYzCWKbRpjp/ff3tmBGwigWnnirtUcb//crzovDCYsjbHrfNp/UyoG1Dd149r08tKgIf7eTRZ1T0q2sBbNpPuCiMU7yRLLU8R7q1LjwnUgTHZS/Pr4LdQ3GLLf5cwJw7ZUzJzG4yrj2t2zezMVpEGVku1TX65gifSecg2qPRKWEOzHWnaBLN+yH++F/6BMycHXxbQBl9bw6qxWdF31z4pgOIvtVLMOlKYyt++6DO80KzDX5PkrK27CHeneZh1sU9pu1cn21c/n1V0G74T10tuueQd98wgLIKL+B1s3GfeeiscPPLjmAmOgCeDI2N2wSlwrzZJjg1RCBkW7tErQ2r1acjsQ5sJOlTZ2KQx7/MBlWxbi2dp4nEkOK0OLI65tx1uismQm/zF54cx4ydZtq5fWq6YTaQd02tcZtA05LdKMQdTP3TdbXtgiua2LzLt/jceBlur5W4/PcjuePzYmtnPUZ6JiFP8V2HHj5Kb4Vg3vaujubi7BGWbgFXNm8IxN/uu86SKmRHnjZnZmH/27YRrX8nybwMkAtiSLWWraO0Tq9HHox347uDKWF1JmYCM4DmBVvaafuBJ9f9B4k6yR/pHZWalCl+bH0JjLeGfYrkuBx6WKMqCSj7LhBWDiQQacF8w5DgyyfGaTrkQNLLaQN8XoHCDK02uCCJNmKeaSHul1zDTQMFK1tdk2HmAh6vUlHid27jcXLnEn57CColtcySDtCUin5w1alxGhYAV3sxgTQfOkO4k83j/Mb3kPfnu8VZoC+2fkGoi8gEnaeXEzOuxFzU0Owem4QvNwn181aGvqF336LIpbZGGY55XiF7ULLTo1KHa7h+TrHQJfCKYAuYkt6ubxrSZeztXf04zk6+FTWWS4DuILlFsso7KYHlV587hu079mC7tJi9HVOzhTHseQo1IaSI8PnmQ6Nl3q6F7y5gZu9KWSHRbfmBVpHm3PAkXucleqrWBDbCqo1EyV5kZn06rF+NjcOxLHEheV2Z+cfRhg3SF10IJHyO4V2bVCWVM/68lIGnYYWt5K9EgtHAVxEZ0W+55Therh3tChAoiGGM0hXIi11Z0aoFdGj8Ryv4XalxoOzhys68o1dY+R7C1u6CM2HDqG/0ziAdCRdOmDOUgyTzeEpQXisPTwStLBz6eCGRV2YVDJ5/gFS764L1ATk9CCg6uxwMse55bFXUa2l+C0dU1T2faFBrmQgeVl936UVHcxcjqC7KwCtrbH8E4i6+iD2naMy9z1851z2mT2eeGEfXU/UwYzrrkihzXAFGltsKxlKjnNHYUWPVZaH9EcobeYHOS81a20TKU2PcyPo0md2Xpw24OW82ynAWosOZ45JlUEcRtp5LB3NaGyOxcPz4O6kE27sG9hMpsuX46CL/qfmwJcBrSca36SrT3al0VWkxMeF40wNfBmetRQVkUsnlbxddzm1MubYppVRUNyM59/MNctecmRm98FfzSEby1g03dK8bunf+gf3YtjuA25YGlFe3402Alc9o/ZYX3kHZm/chsj9uxV2ihuTBr78d9n4dQeHY+vCS3H6qbFYeWK01bKj0i1bkP/+++OaYbKhbGIJ5yCZBU4s442YN48W38XoIhijbx4syejguqzPngvwIK5M4lLmffW9BJFnKGUHR9viKc58zpoYJCWYF6w+2mtM1++lL7LzG3H9DXdiT+nsoyqPWJ6cTeDlRkWE3NZ21ikRLH8nK3EKosq2ntv0OCklefadHORXTHaykmPtiBKW0qnMx8sFvvyj1k5bEoRzVuqE87ftqsT7nxQZOZrJ+nTHjRQrT54cM/aS/Zz7z3+ip75JYbuMAx6+/qhddS3nEwKRgc4s1+xHRM0mdB7KHL+FhFhPeDoNopVMUnlnsnYFEnRx5Vg3bIG0ks64/vpJejSSoMvMblDEcouY4Ogj49AaM89cP8t8EVr8BeoyD6GX34/MmXI/CtF0/hq4zaS+CZOcsnb7UuA9NtqDz+VBBukAwsM/ZoIjV3l2+dbkD+9Edy/8o/zF/1NYeBpy8xONSrAM76c7wQvDS0bg61OFTroYqrWhfs611FWLZlLSpal3EqOnUUAoMn0E8FJr7iOD8GZ8Yk6UXv8bKR1OTfQbX5+PAy9H+oVa/t2tWHdsTmzlrM/hxh/lurZc9DjwYksv/USO6aJC+CU3PoKv3vo7Vl92D7599zHlzr7cuIsU1GrcSc0Xw/ZTYLyIWnh1bTsqKYZm2jKcCll+dBDdbZ2KfkInqYWDuuLdSY38F+q5UNuEJUZentR4cNfCYUYYAq45FSO0QTVt7kNUWR9dCBcn84DDMMXT+lhK48BSkkMUQas7eNDqm3bmgjmfGTgvTuyjzFiMEnxxzsiwOQCRxffttw9i69YJxo8E8P0ujigibbXRIKMji1knF7oeZg8MF1sJEi6k+FnohmfRT3FlFzKFdOAP/8SmoMeeGiWXX4nV569CXKixJo3VB+QBfay73062Sy8DcNOWxueNXbrU4mm0XBFfJgW42IqQruFJVpFVcQG1a0wDuTyWTrz+Xi7rdi3T+kXvJSLMU/l9S2sfnn31APqLc+Bel8nnoI4Is4r6Jn2Vke7P2mbbSo7kd9MBvIjGy/033YTZP/vZpMBLrUMFuHjq5UyUVRmDC4bHelNw+f5bZ7PszrbyMf1vGzl+X2DwVG8FfNEffy3LjjIo5txJoFIrGyP+3UN2GOkeit1rZXU7qhp0lt69ZIJ002FKsmH6FmnfCf9W6roQ8HHheFdEb8d2y47BZL0M96CdIM0wQdPxxn8PXb6UtvT6EgM7BqZkuDC75ujjC7eIcFpSi92tcfNOmc0snDOzjP1woMOChqCjJj4IHrS8d43pg3ssQRh0EoghOEDnoIjwVjg5VylMcKGEK5afI/EUxo3l5twy8KI4auXTUYtzl1oTNy1PK6UKsrHIzmtS6NHS5J7sKNKr7YhgJj8KIX7JWLVsMb77oYpOGhQYN9GEERyvrqlbKb20BXxLTfRAQVm3VT0AuZdAsuvs3ZzR0G69rEaOT4uT8iJawhu+R5OOmS7g5dw/XYZBnw4MkrZuroWRFn9V0CoEuuoETnsHvqdeyBcMttUBKlPwZajLC/UCumTpmC6mTT4fV2r6GJYdmQNd9L+96sJ4AsWWyzUEWHjq5QMor1bfbMq5Lj4rWmG5TQXINdtR/IeRUTLTBp6Ak6YKBylcWizjjAtPftsJyOXm/tKPXsNgC91QWgiyGmhv5ay6BIUOYTjvrDicvCrG7FrYwzV2Ozew/SZlvANcb1oIvoSxdNeV83c/2ZaNBF76WIrk6OmJHinzINhiz/VW2HPdnBdlA+gaFo5+7ygMLbkA7fYBR8QAUMa4v0YpK1qYEc75xfaSWEt9eSz/TcT4v/mhAht31GPLNyw1OkpdilnhmbjkZ79GF8XSWy1oqpk+08olwdSzSbI59jnSPvno21Js3sc13MIUND/FE4cptNtrQc/jzsviqeXhh8ef28t4eUK/T+4rnk6cd92aYXb+LKEmUeY7X6KKFs2GrXfFhXCdkYYS2pX7tjMxsedrrnE6QMGF+lnzZuqsuNupQaflmunDUnUv6hapJesSaCmdyOSMxDDazj6Kf9eSzd5IMJ36RzbolAiAImuYXitN1oURYaSMlfH49HCN2/MZeumg2d1NcX0Rl+Un7uDtg8K4C/8/9r4DPq7yzvaol1HvvVjVki1L7gVXTO/VoRkIkAQ2kE4SIGWT3bywQCBhw9JDD70HMMYNN9yLbDWr915HMxqVmXf+dzTS9BnZMrDv+ctPsbHu3Ln1K+d/CmijgpiYQKYvBXCOLRVNAWGMZxsW2o9zVn1OhMbSaNjePT16dB3Z7dEOASJ1QQTjqtuh9evFiIf9+b6WTND2zngUHmJyVMeQBZAjpM9GzjEbO22BG5GC9VJelMnD92YlqM9BAEAQC5f5Esxh9r6fAV5O9g11/rkf4NnTs2MXe30St38j3+vOl54BXty5St/gNkI3vfTcZZg/J0dxxf9442489ocf4u4H/oZbrj0f8wqylb/fuu4CsmIsdaLfNPAilPnuHjXKqhzr59N82jBn9DC66lpYOXA8sspyLJEpHjJQyODiH+iBgKQh+MWxSnbHZfDOJdWWpBjzAS1lOAlzvPOdTkwFCDn617+i9oUXhIPq9E57Us4yl6BDlFV52yCD5WWXuUyUkErd668fxbbxaDv5Mi+hX7KaXcNKtrismzepdkfQMLWuWYN+Ml9M0YURAXqsb30RWlZW5BNiNCyMIE9VCPQpWZh51nxc/sBPXEbaOjrZcrIyKj/80IbtEkhvm+X0dvFxkmLRy2vzHBf0VVOohF1ApsuFPiKjsq8d27C1Fhu21Ds1co0I8yMAUUCXfaOx5s69zfhgQxU0fRpEdh6BT2sZBunloB8vk4TQBX9WrvuSo+kCXsRcNywnBwsJwPiScuysvfzWcexm5LADLFL56F3rJeoz/qR6qFYCJk9w0d/pJivpB6PDKAg0SuvkvRlhnHcf/ZDUlCMNkA1zZE85asjQGSSN2fxJDvYapbyQenoCx6ZfiEfGKGdQMjn0IzW8b1YumkuoO7cq5/nHxlFWFI6BMmMCgzlgE83qeN+JCqZ5WU6ivQICEZq/kBVKJqVYNV8evx8TKwJyYxCY7ouYwkEkZB1iekg3ggJp9i1aA1rhjulWkO3inmSnvVNDD44+u6yX8FBf5JF542px3NZO1lC9fVmdgDD5mUn0MirAhi88aKgYRiDSX5EbCtZax2pvLcG5TBoExkYHOv2umRkqnKjXOKwWml8uAcP96WvTbGVe6ehhm5nmjwqmF7mKmJ4O4GVB/Cac98croTUzV7Z3XAFVKcjyS8R1ZDKMGXaQ6ULQxcv5fW1izGxNgxpDXSHo/GcQwT0jK9JRE/BFosv7SYEfnbMM9UlLXJo7u5JrvMHY+K27Ja7W/rdmkp3x4zskxWh6gYKhkU3oxyco9RhifOsYF4CyQPPF+/U/xjz6aBV+uQUqPm8CsJqaOiYJO5es4xg1igvOScXFFxK0tAPoHqa8t1EkG3aajPyh9HLRi9ku2xD7lk6CL6McMwWU0VOHOOofzDmCEbCV6PmAgsXoaevjPfWB73k3oXsszK3YeNPXSzz42csTsXZlKn1cpsYIPakO9xQ/JPOHnfuaOA9sQuu4yfp0LBYFeFm85i4kxDCtjWCbKU3RncNdMCcSt6yb6Rbg687+rLc5Ws7Cy0eUfztJ8stNUeFuYfxtrcfGvZ0On4FI9sVXnBWFV9+0TQa8Y30u5hU6Ng5uKKnEhp//JwaaLc3XveITMHrFd9Fc2YKgPW9C2zfJqswi2yWWAQgyH5G52wALWcGUyToaC2RMzfzuD1DSqaKHD4F4Fi8EwDYGUJAtw6HJwMmA+J6McdsJjxQyfoYp79ERmRLjZR3nOCJ/1XE+Le+pAC9eZLvM798CdWW5MgRLuo8AL/L3sTlrUTqaRlmtNwrnxDi8l2nJjVi8cAv3Zwk+Wd+z0VE/HDhwI4utjmX46hVhiJ3dgA5vx8Cyunk2mnr9sfJoC9RM/zM3Dh7g+dezv+02K3gM87x7egX057ya/1cY4amkgIoBr3nz5dxjNtcLSoHFrE3Hu3TGXNf2Lf8enj+ZV/+UP/M0vnvK+zhdOzgDvJyuKztN+xXDtt899A+l4w5i5fY/fnm7Ek9YVdeMe//4JGl4w1i5eA7u/bfrbL7xnnvuwVOvtZ6S/ndungcWr7qLrAsHM0An59nHRe+J2gFF7+moiXQoMXgIMU2Mt6utZrqK/UlxTISfMiCYR8j5hozBM5JacwIUkZefjYBV2UxDYDQqo4OlyQA3X0cqNs1lHbXa3btRwmhL0ZXrWcn3ZLXNXhPvlNlMuUkw11OYbWigD4gHvU986f/iSHr09tvF2LjRSFf35UR9gJXSko4RqO1cWxkoZ9Ejwo8sgyMV3ZQeMA2Kbu4CQF0ecAyxW/5B2jdZN+O3RaorUfl5SMxMxprf/w5hrKqcTBuilGQ7zeR0XbaGv7NvvRWpBA4ctW4u5J/hQr7OzYW87Oc8Ml0utsN0Mf8OuefP0Fy0uNRxXLRsn82F5103zySTxTiJfkoxLmUEISfr/iN9iOo4BH0zXfW7jROHDMpA4ljhcbUolm2nE3iR/YUTfCnk9ZTYanttD6td//yg0qlJ6lpGR195UeYpVRybCJT9nRO2XjfumSfvw936UeSMX185bvEaqI4mk6QAACAASURBVKzpoQ9FHVoqmuHZRwkfJXtB3fVcRA1gVDOEHE09vFi1NvcuEfBUErZkUjkWGY2OuDQMd9dhqMNyYiugYuzihWg7VEzgxpL5I9KE0KwZ6Dxgy1QLzswnNZqRoPx+R82Hz132zD4mIXkhmAlpqgw9VDPUXNSFMH2I5reiQ3ezSQR6D71V7NHA87LDyOhjqoUL/x3ZRzellvaaKtCbkrJIRa5ZQ8p9X28Mepg6U1YZyshpPzJuRG9vQBErrErShJ2WS9CligCNPeNy680lBjyc3ggNHe55Z2TR1LC6TccFgWuT1V0fPYIuAsWB4UYWylSbpreTsa3dOOtn33H6Uf+OSPQXxynmz9esqcSSor0cQ9w7n8rD3tj30DB6jlvKixx9oQK+nLUSh1XzXYIupn048mWSpJLnXi91+O5Lqsiv7ipgCpdjT4ipXlPT9iLHOzL0IKPejWaiGrJLBlhBPthxLiob8/Cz/3kUuhpbJuTxVdfQtDtRWcytXpmIqy6zjPFtI3B68MknMWZnfPUg4D6P6S5NBGX6jhyZOPRBFkJqdu7CQFOL4iEBslf1foHKAiwwPRMa73AMj7/fem8/+J9/Mzp0KkfWERP7lbG1MC8ClxEgiqGUwtV7ebLXcjo/V1HVhQ831qCKoKl5Pzodi0UT8CLHGxfloyzWOyh3drfNygll4S/PbRNid/fb06/DX189jhYnxxJEefa9BE1ieR+HOY797bXjONHgeDFPRA+BfJbMvUNi6WV0/88WsgBgy5w2Hetr75ag7b134Fl20CLIQGSq3cuvgrZsP9TCAB1vJraLaW7hR/+WtPPPRwXl23r6vZjPYwVQEw+U9i4NBsb8YTj7RrT1eZO9QyCFSZZDlJpLNLLMo+XeC5BiAlTkT1dJRnJIOYFtiKzYOPG+CGtUvFkCOF+tyb4SbV2UDvEVm0n/u0gnqXBz5xxFVsYBm6Qj63s6qInG3n1Xo7PbgREjP+B5Nc3q41vR71BypEJP8yz00r9pTUkbugiimLd2FuzqWBQYYv8u7Nqe3iH2E5NbBLEnyAvzRIOZVF0KPXlkvoaH2YJC0/EunQFebN/u2/Giu6/8tG73LG622N/2PUfxp7+9oiTHzcnPxIP3f58BHbYy3Za2LvzqT08zsKYGyQkxypo7PydtWo/tDPAyrZfz27UzhfHyZuwp6X+LUg7h1tvvVei4noTcj5X1KT4sSuXZSRuid0tlTa+yGHHWimaF4FDJAMn1I5jvVQLf5lKyFCy9GEJoiBoS7Gs3sUCVMIJhP+NA6180C2NnL6DjvAERjIEMJV0yJjAEK7CQSUCTMa6m42mmR8SR556bMPLTUzYxVlUFD4IOlgHXXNQvWYJ0Up35wjg8HQMrdoabboIfJSXmi3kZZN966yg2bWpUKg8jXERV06Sypc/+IkAWo7OZvhMSYhwcalhhrGseVCQ06X79WF1CIK6BIBEHFjEeFkOxgKBA5KxZjNnXX4fsc8896clkKeMTqz75xMbQNDg5Gct+9SuH1ZB2LuCfYcWhydP9Cuwagi5XuABdTBdbqPdPvHAYlUyucKZxXntWAi47P01h+4hHzF+fOYDm9skBO0Rdh4guapybmzDChXyRSI64UHU1+Z5u4EXOK5AeJgvvugtBNNezmFBQNvL480ec+nWkMDLzJ98rQCBNGE+11XCB8z/ERtVusJRkWXMPJzxJnKQ2NffjU8a3HmEUuomtJQBxu1rHBbsOcYZunD9WjOSWUqaEtWGM13uMEZYm3yBJMVJxAtQcm40hRp8HcAzspZ+M/F706PIeyH69OWkNSU5E19FjNqcaWVhAP4hGAoWW7BZPHz+E0+tlsMUWQBSpnvRnCXF6gtJ8jzzHgWEu3jx8AxAwYymCclL45zCCUnoJwNA00cHk0HRA/eRpl1baj5cO5OKgUImXdjwJlf2oSf8+zgqvGOzaawIUijdRCQGaXk7UxT+nt5/Xx9Mfba1JaO+I5wQ+lskRKQot3xwjzkqj+SP7kOFR657N9puEaZeYQqZdu3sgxYxEPyVpgumdLpuvL6WnJ/6C1N+kI5gyyJNpAy39KPtTCQruuMrhosN3MAi6gyn0raBZav4hpprsQFiwATlMm3LFEhlqikDNc0yU21epGGaaJSw7PNyxwiVoz1yuSLMqa50s/Kz2YC07ksSSvzx9CC1OjCFFYnT28jSXfdbJXNtDLOSUj32EGN/tMIwnfAn40tETiEN7b8XCjz5DwrHdMIixhVlTR8Vj17Lr+fwZn5kli2j4fG0e+2HKcdkn7PzLX9BLVpy9lrBsGQpZtBAvjYOPPUY5U5fy/DbUN6ONQIyBi+Uxjs3SDGR1egYGwStnAfqtDNT1fir4X3Qr2gfsA4/y+YRYf1x8bhqKCozJhN/2puFL9cnmGuzYR2kGF+HWbToWi+bAi+w/MtSLBrVeNFp2bU5qOh4xeb79+jwyTk8ubMD6vJRiyzulOFjuPG3szqvTUUj2oqnV0yT7sdfIbtXaXis1x6VimqEvyg6GDwFiE2vruqsysZLm0I7mAI3NfXjkqSPw7utAxvEPoO0wgpLSnUsynD4mEo1NND43YyxnkZEWTrN3kZFKclLa+u9BH5GMzp2b0bJlIxkpIwojRQAXMaCVvwu2KHOb0Zh01Kedh04Hfl5TfWblGBcPbsVgTYUyX5T/DqC0XUcwZzBvDQ4PJE9ci1CygvLzo5yOVWtXbkNEZAWP1fnz0dmVg337z3PoHTRKlnPULVp0BPZz9u9ActSbzLjwRHjR62WJFCbMrskIL1gbO+cqAv49fYyZtuPzlEIsLYRyJoXFxaFP7ktcjH1Z9nS8S2eAF9un81a8PNVHdlq2/wdumthPPycC51/3Czz8uzvpsTYTj9EEvaW9C3/5va2p+Pp7/oTVS4tw49Xn4p1/bcOhYycUkGY62xngZTqv5rdsX9MBvJgGZVkEhVAXKd4YEeFknug9OMEcYMWVGnvOtcyrMKOcNdU39aHJyjXe+vLMnhmCihq1hX41y7seKd1MPWo1Lpj8iCrERAY4BHpkne+fSML5+MLIJ5ZUySvWoo80ebH/kkVWkj4WM3UzkZ4Sytg4ow9IL81CDzz9NJMaLCN6ZcAfra+HB813PcZLCSk0PsuNoAmXo+gWqxMbW7sWvhdfDG8adJpAl82bG+FJKmcrr5vIihxF8EpRXJguoaEBExOBIbrwH2E0nnZwBEtbPkXM0Q2s5Gu4wAKCOIjKiG2goW7ikoW48cn/w4r3yS3GRUsv3i46q2sipzf7ttuQunCh3Se8mQ/AUwRdOtxgTZh2sIrpRVdz8T6VyW89jUyfJvPFVTXu1nXZlOYZKbMiOXr/syolmnCikbUR2VsKVUcpfIf6kM3YW1eL4tMBvMjxCKA1/4dMsTBLNPifFw7icEm/w95E3sVfUVaVmmyfLXMy3VAp/VCeJJQ34mIxIs9zABddRbvrsXd7m12QwEBadH2XFgHd7VhX8zF03f3Q0+/Hi7prX39O/YbV0A8wdUoziP7oBAKRocqk1YuTQQ9NE3Rknyk0aDOELXreXEZLVzIRyfK6eBPsDM/PRcceiby0bEHpOfDwC8eIrL7ZZGIdI4ALwQuVih4weoIuXpbVe4Oe7x0K+Dxw8Uag1TsiGAFZTFHK8KZJ7wD8wtRMo7Bv0nuCzJ/2ziG7YEBGqkz4XLOraugh0NxmWdU2nZWAtnPZN8hk/sCRNkX7b928CMKEBUfSqDeNk9R4mvZG0Sg4Ho3sizVa16xFWUxk0UerzM20o9RYX3RrRjEw5Aagw67q4puG8dRDDyPt5zmnBLzUPlyBK//9JiZqDdj0pR6jXvA+ksmEDS8smr0fqQkEChSrcr5vZPLk0s/Bn4CvvaZtDUfNk/QaajEyr+oa+1gxJVjoxHfUMHs+qlNXKuNgIJ/veCYqVdW6z5YSw935c4xAwPOvFWPvkS6H4HJuRgjuYYqRq/7qZPoAqbz/RTuMPq9OnI0nMOYz+a6NEHxp+XQJTuyKxrnH3sJoi2Uan3xfCf0uKnyTJxag8wqjcSvj3WtpqCuVfvGCsm7y/gqgLxIMafXbtmHHEy+gkz4y6opjBMcHCcJyJBfwRaTAfIeDFp7FZ87PwpjftF9DSCR8z1mPDqvuM4CM0HNWJGEVPXHk3f/f0CoYHf3WR5U0bSWr18GrOx2LRWvgRa5NdIQ3zcUJvriYw5lfx/RklWLyHh7mXELrzrXftKcR7zPNywEBWtnF6vlRuOYcW0+hTV814L0tzTaeMJW8ni30IROm5eqCMPaRNGemiexvf7GAbB3jXM3U5F2QJv/25oelXHz1KgBKZv0W6I8fIluEgQfizUfTcU1tKfqC49EzbCwOCiMtOkJAF6OUx7doJXoTFxoZyxwboys/Q8fBQwRfBGwxbmPdhnOWoTpglhIZfqptJtkuUWS7eNLDSQAXAdYFgNGrQnE45iI0WQHsc+ZEI5hFS0dAlI/3MC48ZyPHcvG9cm7IXFe3DMXH59kFDeW8xhI4Jl/JPtaJl5pIjuq0QUigFDeP97DPbC7Xz/tURlCmluCLvSaF0tkhHhhgATgm0h8pSY49D6fjXToDvNjehZvx6qk+wif1+Rdxw8TnPtuyF+9+8iWefujnyr8NcE648sof4auPn1CKA6YmyXICvGx681Gl8He62hng5XRd2W/BfqcTeDE/HVkAiEeDTAJTElSQiN4Wdn7HynrRxoVHWzsBGfq6OGuZrMD20LfEnp44ynsAs4YPYaiumsaSHMxcmO37BlFyFE1jz/FBQCawAVcQac+Oh46DjTRVBSvCx/2UY52VQvvKve/BZ6BT8ZeQpsQ4m0kBxrq7YSD7JS4lBQX88RqvuLl7W/WSdsQq3ge7e7BjVzMGONEv72EM3qDzgVSqDRE0ybRu1QQd4tqOImzbPxHQRekGBxQZVHzYOXiz4xhNzIVh+Q245UfnIj098qSqocc4Oa79nAZqVtzVIIIDZzlgu9RztfEsJyHu+oTIea0k6HLNFEEX0/XYwzjFtz4+4dDM1LTd/Uz7SE40xgQ+/twhnKjhAo0TH/Pmrdchiv4vWV4NCGHygEhpHLXTBbzI9wWnpWEeEw2CSPv9bHM1zbIZHe2A9SDbX3dZOlYuTTmpe+zs+S0m+PKMh5eS8GWvSQxnC71ImrgQDWX1cN6hVgx222e0CQa37PC7nKSWKRNMc08ITxre+nDxo8vNRoV/DKIGWxE70g4veshoR4fo21IKvdWMW2RFYdkZ6Ng/mRhhOsawWfkEa1gRbrOKZufCIWLecgw2d1Pq48fnIYjvv69Rc68nuIFi6uYtWR2GMUqMPONsrq0SWU0gxj+VEdGZ4QjKGIUqk0kslCN5ehvlTM7ipb042Z9H0NqP5+6syeRezHrV1Pfba7FRlCzxUCqq+hWjUZPvk/m2PgSrRdrkxZsQRL+b/oEwAkIpaOuIQ2trrJKWZO0nZfp8Xl4ISurdoK7wA4lR3pDD7B10DejI/i+9jh4oKT34x8+emRbg5dZHbufCZATHa/os3pfAkgy0Nfhh2ZyvkBS/j9fI8nzEDDcvPYQgieW90HWGofpJVpwbLNPmnIEvCuiStsoi5juAEaxJZFaccBN8kdftjhtyFCnBWx9V8Tmyfz2lUn0vJUZJp0FiJPdnB8e4t8gEEPB17egrCPM9QNaLsc+cQeTJkyDeSy+ejfiSfUgv3QWDmWG5bDMYEYNdK24i03Dy2S3IZDpK4yfQ99v3hchZtw5Za9YoC9yD9HLYSC+vgKOfY+wo02HGEwdl3wK+6LUEPemL5Z2Sg36DipZs9q+TPiYF3iu/o8jyJHVqyYIY+rikMRZe5fTd+7b8UqPRMb2yERu+bLYZs6yPcToWi/aAF/meaM69BFxodJEqaH5MSXEBjMmedUrXup5MysffKEf/oOOJnySW/Xz9TCXx07oZ2TJlOFBmRN/kv3U0fBe2i/h9yPuWzH50LiOgZ9P8vGBWnCKpG2R/qiHQMcACl5o/AwSUm5oH8BUNboVdKPNQYXEubt9M1ks3QuinNdbTiCF6t4ySWd0VlEQPIj2TgERWKoYsfG7jUzG05FoyE8kaYzGis1sLrxEtZnV8znFpMmDB3rOnXXgVygciXLLLHT23Ms5FUsq/RLOJEus6JRVT/mdqgSsuxoYq+oWRLWKO/sQwjS/LLO3H3v6Dg/tw/tlbOXGeTB9zdBzHj19Gs12aYFt5GJq2D1g8DM+FanSMM+ys9zM6LClH9HuhF2IuPeRSWZwwmZk38Flp5n67KNdXO/AB8uP9X5vpT3aw0f/PUZuOd+kM8GJ7dW/E699I1/oKJqXIT738ERMh+5gCeOPEsQjw8tLf7kNqElUh423T9oN45d3PFYnRrn3HONbG4Dc/WU9bgpOzbnD4brJTcm/W9I1cujNfeipX4HQBL+bHJBXSAE5uJDZvZmYYjhzrxPb97WhjZaGXxnyyhrd+xGI5aPqxMljf7Jiq6MUJ3+XJDfCsJgBjFRlr75oExjDpQEXtrNkIErCgEMOrijDoRekCnXc9dqZigOaPsZWfMpWFkiJ2wirKAKTqIVKmkCBfYzVgHIQJpRQknzIQFSVJJ5PhV9mkwaactfhiLAHVpI47Mko0nY9RX2s0Y7Nuflp6ZHzwLCLqD2OM0Zt6LtBkf7JpcGIixuZehPbIhdSsB+IXv2A6RICdnG0nD5Oa9O6df/4zRvqtSoX8goLbb0cKk5ysWyVp6f/g/e1xQ6Ji+uxa+tJcwWNzJe1x9ty//VEFtu9ttYkZNP9MFCtOv+QiJYRmu20dGqYcHSJDwD5IEGroxUVJjdAQ6JOkK3vtdAIv8n1iXBx/2Q149kMayTmZcBbmh3OR5n509FT7j33aIbxItof5lFciLdsZGd3UqrFYCMTw/S4gEKbhpNK6Le09hPiDWymP0xIkG7V5fTyiI/H2nHVoHfJGVKgP5qd6IXqwBQGcyBqObeK9aGAiA0FKs+EpksyzwSamndAk2bx50PQ6dl4hWnftsTmO8IxMZMzMRKgPF45mbJ6R0Vp4eDUp74+pGQwEZQxFBF5cy+UMfOY9gwMRmEk2TGYwgrK18I/uJcOkhRXqPlZEba98UnwgB3lbyaP1lp3U+p+oFbNe26FZouilT5XkCtG0C/vFXgtlfxZFds8IATyTp4uHByV18EPfeFpSSyu9dTojFNBCFhV5M4PJdBETb9dPTQxZj0K5a+9zryJ73kVchMzqVPrn6QRe5EjVlGOUkfkiUgw/mun21QRhScF2yrIO24AupjMTY9V8gi9BTGySpusPQ83/EHSobrF78o2UN9U1WiZBGWbNI+iy2i6IJeBLImO4Kx1E4Fp/iSz8YumvodXRdNrBAuWaS9KwlhKj09E0fKgeYiJI27gpbrK+Aks8XsSYtxoBfAeLuGiT96e++gb884VeLN3/DukpTTaHUrKMiyxV+gQQldLDCOqqA8ijmaWvFcsohIDzsnvvRS0XUp9RTlN2wgigJWnL4LPxaTLlyIqbfDsJchoQnJ6OXiY4jkUlUWIcald+LB/xSM7FrPU3YgUlJMmJYac03pyO621vnzJP+pJsjS92NLkdCz8di0VHwIscY4iK/nmhfqhpdJ/BlUjw5Qdkvoh/zlSblvKXx/95HFVNztLkDPj1LTks+oWyL5xkpsh3iRm0SDalQPAcTXlb6AsiYHZHp5YLL3qAiNms4otiwEz6UuWl0yfJw9vIPLHq9+R+lDFVsbPHEri9xGsfwttPUOKpVmLOTU0dl4lBPQ3bowKU51/GpZHVN6O4joUpysSH+V6bmOFp/t1IqfvcRlZvcb18CTgsuo5SmqlV3qVSH01PxCgyxbN9Ce7s/YQJf5bn4BsZBc2K9bQDUKNGxhqrQs/8+bGcQzpnhsXHtpBBtpXMUVs5r/V9P3jwZprHBzucRkdd1Y+eJMquHDBohig5aqXkqJeM8ULek6iGfjQ0q1HKPkO6y/AZIShvsb+e8GXRY3F6ELIJiAlgI9dHSYAiNualzPUltckHWz79G3ZTzeynOjnvMd1gJ35wTTT+yrCOM23yClyPN7+Ry/Earp343seeeZvv/hh+/oN1E/8mycB/++PdjBRPnfi39z7djj88+hKefPCnWFiYi1fe2agwZd57/j+m9RzOMF6m9XJ+u3b2dQAv5mfc0anmIDWEWC56g5ka40saZjfR9G56bYjfhhiFeXHylp0ZSNNT+3R90/7SklTITA2Fqp8VsPIvMdjmPMZOOlFJORrxshxgfBIT4H3ZKvSGsFrdx+N6tQRdZgZ+5sevyKl43ALERKclYM199yKU+l0dU348N2yAp4vUI/N9naAZXl27Fv0859K8ZdgUPQ89jIt21JyBLsSCkFLyCTwObsNI7QkqNIyTCcGYPLj48Z+zBKNLaSzYaxygL71kBs4/f2qmq0feeENJnLAGycIyMrD4pz+18XYpIejyIg9hYAqgyyVcjZ7Hiv9U5EWOrtd/k8VSUmmZrmG97Vz65NxybRZZBn74dHMtNu9osJQcmX2ggKDXJQWMRSYtfoAyNGsTyNMNvMj9LG+jK3/+pegx2DfNDOdzeS+joyOYynM62xbK2N7y8lUW9fYAF/PvTunRIvdgmwUlOmWkDUsOvE+AUE3QRYc+6u3N9deefKAP0ozziEcCZSL6CRPRZfmhSpxsbCfN+w5thucg/VV0g/DQ0meDMj9PP39Ezs5D+559NqcfmpNLSVEfNDTilCYeMWKy7U9qdS5NDX15Tqam1zN5B0dsIoUNY2S2eTqP+bV33ZX5OtkwfokRChuGTxnpID18Nymx4lRyovH1LGKFVcXFvivgUWLUuzjhN38fJbq6s1unJEFFhvszwYISH1ZmzWWepu8KUnmT8k85hlNPFz8uQkLQ25PC65SOgyciqZUPURa/zrCXoAD2k+xPm7vdA13WrCVDsoiSrnFLjekGXuSchW3UcJi+Q7sjMT9vO2Vdkvjm3F/MhxPyPGr+fUdiUPeMN4arnFegm1vVqG6g54R0vQULUZ283GnErciO4iJ9+BnnXgiy4CupEGPlESyjfEL8qaw91HIygnHPbYXsh537BJ1sv/ApTW8/8aSxqhkSefHIkyyQlCKXJxxlSikaK0BD7WXY99gbiN27FXpJKjNrQ6ER2LHmuwQFRxA21gb/wx9jqF9NeY83wRe+HzSLlyaGutm3fB976zwZmdsxwfLx9x5D+JG3YKgvh09P80Q0r3zGP4qR8Olp6Dl6xGjCT+aLdowAoNXDGhTkjVRKiguvvBAzr77aZdrgyV6z6fxcW4eaTM5KMoXpd+EAeLP3facbeJHvVDHtLS7Sl4EO7nsXCevjrpvzEBvj2sdJ+jhTP/f6p5XYdqhLAZdlTBTTVPkZU6KPjYaw5y+KRkqcSmGRDKgpjaNHigAu/fxTPicgivw5TC+yo9WUrJGtIgUA63cqmF57V6+Ox6DGfm8nwHYZfbts3sWALpwztgOtX1HCOJ6SKNdpJCgMXsnpSrqdJHQOFl2Eg11RDgtERQE18Cv90mGghOzTEJmEhuxL3QLixJcnhkyeGJrjyrgn5MroY+8ytKLW5tEJXHEJWlTZyjU+coTMVSsmdkpKMJKT6afkQnqcOaMa84t2ukw60g4F4eDB6ymjtQ/meAVTCnQ1wZTQMdgjsomb4WBTPuqGgiEY0azDzaj7op7PwKjim+hNJruBvo7NZOCKd5z8m/z4kv2ZyGfFn2buty6PRkJEgGI+70+mu6QayXw/nOzQjh4Nrrv5HmxrZ3iE70lKuId78OPl5Xj00Uens2v4X7+vdSBI/w20N3DVxLc+/cpHlBl24Xc/u2Xi35ZcfBdef/J3NoyXJ158H+88+wdlO5lbzT33dmx55zF6NgVP21mcAV6m7VJ++3b0dQIvfXSgL6vsnqB8Cy1aRT19PGmLoaT3+3EgEPp8Upwv9lMv28UFhAAx9qjyoZw4LaTO1ATSB3owErhhJwbLj7EK7ph+6h1Ao8k4asH5P/PmRX+JgMvWwqelB+qNxaSJWqYjWd85r0AVPFddDy074ExWRbP4k8HFZPSmD+FNA0BniyaZQByr7EJNi5Zu65PH2p0wA5tmMhmi37aanpMTgejx2EHrYxFk/qyARvjveB+95WVoPtGgVGwUfTA7BX1IBPrP/TeExs5gJXuyzH7/fQuRkmJp2uroCe0j5XXXI4/Q+NQKDOMkvJCxx0mFhRYfPUIA6hWe2qCn+4uA71BetNz/1Jgu5gchkyIx261vdlYZA9ZdmoHli+KUyffDT+w3Gow6oKivvzoTi+bGoY6xqfIzJElX42Db6QZeTpBCKzI9r2BGgi+5Ct0G28H/7u/OZAT2JC3ydPU4Wvo8PFndiVeZlGMtz7L3nTNoBpx+pIPSlzEEeIzh3PIP4Ftbw+tMIIlArDcnPWpSsKWSL/O4rrmL8VHEYjLixiwqYEKDPntuODyGtIgufofRna3KuybsN98RDXxH2Q+kJkLXSlZQMwEWM0mcJ2U10YsXoGP3V+x3GDXL/sY0aQylVC41nylH42ym0THSoz3p4TQuo1AmuAYy4vRku4gRzSm2DpqPN9N/xWtGDEJmhSMwYwj+MWSp6QcQFs5KK5mBria0AqocKe2YeFalX+noGpqIShVgW+I/u3l9BSAzr9YGcALuTUaHxDoLk8+cXm7v1MLoh9WvEdDWj2AOwZfedMbVxpC9kwCNztti4REc6MEkAFbA29xLPWEQHIIXkuniNbm4OR3AS9CYCnMGCnGg4g0+b4yNHvd0cXUr9b0RCNwUCn8a7bnTWtrUqIidh5ro+W4tkFUEXxKi/XDCyaK1iYagdY3qiXu7dF60kmZnYr4IO+e+u4sQH+d6EevOOVhvI2l0D0uyGcdJ85alP4RVHm8g10dr8bzqh36JzhZv1N37RwyV1th8Zfnii3AidjLORgAAIABJREFUIocpKh8xvnaSERBAdqkwX3xoqqlJyEex71wCfZbUsET1MWj2bCK4pUewtgX6XvrdjFOwwuafhd7mHsZOE3CsriIbh8BhfMbEO+LDOUdyvIrXKWjieLMuvRQzaDYv/f+3sQljY/f+JiYWcRE54J6Ztfl5fB3Ai3xfoMjn4hgXX+Oa+SLYnRSxYshs/sGNMxEdxdCBcXBF/hRDWUnpkQJSP3/EXFZAkzKGMWw93MVC3aiSUCR9mvKj9M/yf5S8Jfgjk/dY6yRe2vz6DHD83nm0R/kO8z5SertIFgjjeYwL6Gml1tjOK49R8immrdZtCU3XZ+x+CkP0AjQH/aQGZcjIQ1MPx82UQlSELJiQxNh79gSHXuHNNKQS21Q+8+11GQtRFzpXiau3buJhGEoQXFg2keEB49HTxgJcjLYa+q/+RS8ky3Pwo6R58Kz1lOYYt6ur60VTE/sfs8AMYX4L68WVEbl8fm4h5dozJOnI+bPR25/EmOnLCTDbfxND8vrheZYO7QzHMD9TI0OFx2oIpIn+HLQafNBFVuiyA03wJpNIP2Y04mcwE+r6xziWTX46JyOUC2aj4XMcixX3XpbC+YFlwmBZTTde3lCPj157CMWa5WeAl2nuKK/Be9O8R/d29xaumNjw82378eq7G/HiX3+t/JskG51//b2Kx4v5M15e1YB/+/Wj+OLNvyjbSbFr7rl3YMcHj5NMcOreVaYDOgO8uHcP/1du9XUBLyJFkDSOAQe+BALCiKnh7Jlhiq+LHyt60rGLblYqFlKtkJQOxWCTKPXKRTGcTFnSK8VINrb3CEaKdylpNI6afyR9D0JoRmdVBgvlomKkg2kJkcEY62Lihdo+fVMYJD5rb0C7YdIpX75LCo2JgSM4u20XYhrKFUaPqXJtAmJ6Wd0/zslDiwODTV1QKPYsvAQHdOEElYwLkUwuwuLigu2COXGMxr5ibjA6Xn1KYWF0kqnT16vhpEU8M4wsAv3CC7At+ALMIK09mhHVuvHkgwxGK//kJwvcmnAefOUVNBNosG6hmZlYSraLuZHjAQ7irxhoKjeFRIgbCbosPklPF2cvntCAn3+9BH1OmETy+V/cWaAYKzfSm+SZV46ggxGE9ppURx74USEp0qyqsAJcQZZTE+PGRwlIPbNjBzKLi3GymLfwHqqYdnWbnThuWczVsJJumvh4B5GSu+xqdBkiJg7z/FUJuPS8jNNiqmn6EomG3rWvEZt2tLDCRq8VJpMcjXSPLp7bOoCEo51Y0LYPcfu/VECRPoJjGoIx0gJY8dYQfBlidPQ/cxlfqbEv55Fq1XnzWRmvZ6zsMTK8rHwkfLggTc6fQTPdPfAepr/KIFklIkniT1x+DnwoKxxusWUuZJ7NuHkuMPV8FscMR2mqa1m9NejjCfCku2SiuDsQyKRdKrIy2fehD4FPXChC8mlamOOPglUGhEWP8N2UtCTHQLLo1xuYqiMVX6Gqm1deZR4axYmkgK/CJpRqsDR5hgPYD/SNT9IjWQWUha4j8CWUfUw/GUkGvtPmjVlpnOz6c5Kczu9OoclmAvubIMQQdClvdg90WbrMA+FLOixAF/mO6QZevA3eWDq8gD38Rn7XLsbJUh7gIk1PjmOIcdPtL9F48UQTZUfBSgqeKyZS3FVXoTokB29+XOcW8CLfE0TGQKwDxsAgZVLHymyTrBYXRdGTgGMWx8QbrpiBFUtS3H30przdWxxPtzAFzLp5k+ly3+ijCFc1Wv5qdAWFu5ej6+MvUPO3F6Cmp5t507Hyf2zhUvTv+sJC4iDPrIenAf5hoRhafhO6tZbfqfLUImT/G9B2GQ3vxQw0mIzXEfUgAhJTOK6TIddPKSiZDGEh7F8qyqGPTMAYzaRlEZ3ElCyp9Fu3fHqtJbHf/baBLyaWy3HKJdyJBLZ3Y78u4EXmXwEBnkhl4ayynqAy/1uKQsbkOWGkcC7COZf0RwK4y9xEQHtZMOdnh0NPSrJIgOTfFFaKEos8eUbS/VSSUdba6bhvCWW4w9K8MIcpOfauj5jZ7mVfXGMlaxd2SBglVNIvFsxQIYZ/15kVZLrJ5Cyr6rWRssUweW9eD2OZq8oRRWBwlL5oJmBIAFJtYAS6Y2ehMuNySmNcMwKD6S03t28LBhudxNbzCwYXXI4qbfREYdOH82dht0RTTiTMTmsgX44l+uhbGOS80boF0NulJTBn4p8F5D96tG1i7mj6RRZjl2Nj3YtbX718F4uHxziO2PEHk/dedsr/62ifheLitZzD6pXkUWHxisQ/JNjIPumdQclhyAA65TUelzeaH7+XLhXFlRFoZCqoF4/7bPpCaTrIYB1nOrXzblS3yxhvIOtNxTANS7B6bUEULltoZBVK23G4BW/RiFnm47v/9egZ4GXKo4frD1yFD11vdBq2eAeXTux1UDNEoOUXePCB72PBnFz8+b9fYz+iVdKKqutb6FvYwQJtgbL9Fd99ADcx0eiKC5bj5bc/x0cbd+Otp38/rUd4BniZ1sv57drZ1wW82KPFW1+JCGoovUntlog8WbOL2aUYQIax4xW/AqmEDNIoceXCGKUTPVE9oBiVWetuI4eb4HN8k8JGcNQCRXLkMzkABHmyMlZRi2EuoD0DmWBD7xZtd6iNrlX2F7j6CjT7zHC4bxbvMa//GFLpX+HHiWEY4/dk4OvnZKOB0qLuXg7ETnj6Bk5Ajhatxa6QmYhkZS6ek0XryT7XSVjFCcZ5c2NR88mHqP/iC/SSLjrY0KBQQ7vJLlImL6GRKFt5L4obuNgiuLUmLxj9ZhXE76zLwYoVqU4X671Mb/qKUZ+j1t4mvElzGXWcMHv2xLXYx0Xwazz+qYAuN3Ohu3AamS7WN+aTTdX44stGu/GRpm2l6n/f3XN4rwLx0efV+HIPzY7NU47MdiqTxO/flKvIk6T1kw1U8v77+K/nn8eMAwemHXhxtPDyUlFOJOALojCDEbg//f6c07ZwEBBvHycgm7Y3opEJGqZFgICgHUtjURbmnrTpqsNHseqtlzHKxZGYGHaT3i3vQmiwsE8ErPPCm6RNHxmLtfBWsb6ngXzJ1s4JRvDBt9FfazshDcvKJDurl35NNMemyXds4BhCvDlh16gRRnCrkyCZjUF0bCxmzJ2LkT5W4D3p72LBdqGvk16SYqavoiFgcqkwAK3YVR6cMIfSPHvB5XlQ5YRBlcWkiZgB9o0EYWjUa90OFbcq3iLiD2DdhD4t/Y981xDBWE/er2AuTnrGI31lewFiRHLkKVpMqxYSQhYijVxdL/rIOmIf6uOVxAVMAg3R49DeHYMBbYBDE+hFCz0RdVYbWJy0adMNvCzQFSKMoIuHz2E+Z+InZCD40s8YUscmwbruKLQ9z+r7iUmQLi8tCBGMgHUEvgjoksDEOlnkbN1Vj7c/qXUbfJHCQxR9cWoaLBl6xyUilQwpe21RYRQWz4vDbYzplYS209EaaAD0V44pGjuS0dUEOC722M2qw8d8tszlUvSAGnoAfp4qdP3hT6jceNBCqmCglK6ccrQmnpd+oopuUFgOg6xG64vOxXDSbBYvJtP3BJRJ6t6Lgf07LU7Tb1QNf3UrAnLmo7/NrFRO2WpYGPdZfYKgyjwCmWTKOTHOLKR5eRyZm6frOk7l3gjAvXlnPT6mibojI2V39zcdwEth8iGsPP+HE0CKXEaZZ0hBTUAVAVIE9BUwRdhHAWRxNTNFRsyghZki8zUZQ4x/2vZTAhLMyqEheZB9NqF8onOQsh4nMezSfZ0zLxxa14Qbi0vXQW+y1k4NmskmMk/Dkfmnn5nn0LkE+7XjqW/Sf5SwkCgyefMmRYELIkvJqhRpjQHpoKkuQxiEta3IXfhDqAm93/k9vjjhfqx2kn8fMho2YLDHcZKhgdLfviU3olXtS/PeAPq30GR63I/Q3rMSM1gB/Z7PbGRMwnZRL1uPQXpJmbcTLGK1t0ua3uS/qijfkYQjewlqRlaT2HwZ2Sbe3qM4f802BIVU8O9knksBk8cnRu/KD/8uxyvjkcfYpVD5rZ14F03vrfSragxim243jhCE7eV/mz9N8vfeviH01M5EjSZEkRypWLBde7xlopg2xHvRzOd0hA9M9gz7fcLdFyYjl15rG3Y34dO9kzHgZ4AXd3udqW13OT6e2gemaev3cbHFnr46WIJ/f+RFsl16mCJI8OW+73H+FIQ3PtgMYcQ895d7le0r6CF23/95hoVaxsfTVPcP9373jLnuNN2T/y9283UAL3VM22lqHXRocicXWsytEuL9UWs16ZSOW8CYCC4eRGd56TkprO4xApa9usgdquv6lMjqYlYEO0jdN2mfA9k5R9ZsJY253MaTRL7P25dpPwnU9NIlPYALBq+aZmh7Jg05pYP3SUjnJDDcooocOH8V2kkht9b02ntYMkdbUMRYZz3320/ZzyARfJFByQCsGHfxHGSS4giD0RYWofacK9E1NjkZkaEwJcoXVy6JRU5SGDoZn7vvb39TIjU7DjHCcDxZqZ8sIWG9BF37PbzdkUdmgbFKVJQeiAgCMKbFnsQaPnD/YlYtWKZx0PYSUGgne8C6RcyciUV33z0x6O5lZec1TiqGp8B0uYWgy4LTCLqYjvmpl47gWHmv0ySgmVnhuHO9EVB56O/7KFHSONz+pqvoazMv3mKS/uyTT+I13otTaSuXLsU8qwWOs4WXpz/NW1dfhdt+dB4SyJiY7iY096PH2/EFAZeaBjWfe9tv8GIMa8uSeFSaLZLsHUe4ToPb33kWsWXV8OHzKBMk8SaS91siMYWJVZe/BPuyl+FEk3PPC9l/OCtg58cyrnrvBgxb+Uh4UFaUvGA29HXllDKqlGQy5X3jpEtMijUEZQcqKjDS2wu9vDNGh2+kLV8Of8Mxvp+WCSsGfRSf7CyX8p+pXn934qU9KIHwZRk1ICcS/umsXmZSUhXC9BYCMRqmuBw61kFzaIJhDjoSqRgKo0WudzAlmvZS4gTcFiaAOeslmGCYhqCQq8Q45ZzZMYVz+54JsJLGwh5+PL5oygZSqY+PIssvgV4K/krfOWcOJR+r26H3s3/Q0wm8zBzJRpJ+D0GXfbx/kw+wPAvVTQNo7rR91nRdEWh7wZOMCVtz2Cx6i8Wyimy9iI++6CIkX3yxxTMi4Ms7nxLQd5JAZv7MqMgYiGP/bvLKaGjqZz8khr32r5MsVP7z3iJcdM70P5tyXHKN/kEz7f3etr4LYqh7P5eRYkqtHXkEPn6WSU+GkYuZqHc2RsiUHHztLZw40jiRxDUQ6Y3WsmNoZdIeg9D4M8bnZERZuHvHJaM09nz2CaOK50vYuAwgzNAD/z1v0Ujf1tw8Nj0Oo2R6as0WpoEEshJiWUShvEHSYcR42xWoMo/jWQzHtdMRxe1O3yDXu5zebx98Xssqq30Td3f2Y9omNNgT+7Y9ia3HWRzxOsnxYawPsxP2IzztegyL9HscPFH8VOSH77N1IUmmACFB7HPMAF5Xxy3jgBQ1QoInwTbTZwZ0IyittzRut97f/JwghJDtOBX/G0X2TblmL9lvEXxWyhqZfClxz3yvIsiQMu8Pw3g+wqYZoLG9I7bL3MhOhJd8RpmL7EePME8NYnRtSqy5P5PSRBoYmDMHjeFFOBBYaFca5Og65fvWIqTyS4xYmeAau18PSBJbQHIavNdcR4aiLYhuvl+F7XL4dRbqrJhq3Ei1+jI0+WXaHMbgoA7lZAaNUbYjbCZJQAokc3IZx/40soUVVgoZKYGUCwogE8Riox9ZQwH0SxFZbyBlrwb6mQ2NPs++QgobRmDHERiq191G35UCu78vH61Eqb4axR5D6DeTsyvzXvYbY8MBlBzOQsOoEYyOaRvEospOjn1GJrM3k5y8wilL4rnYaypeywWJPthxbMBiznMGeHH1Fp/c7y/Fpyf3wVP81Ie44BT3cPo+fobxcvqu7Te+59MNvHRTSlBR1eNyMMxibF8VB1YW0By2ROqHlzP2MTsjnC7TEcghWi3RqzJ4ygJR5BgCxFRU93PywkU22RcxbXswVHbIRo4gX+IXPgZfyo58mrugabGfVOEbmgSNZyxd2UmjzS1Ed+ZaC7qpsxvoxUq7YbgPRUxg8S0vJ9gh7BzjBNrkmm4y+DLqU40TXdlCBq5g0tp1lF0cW3stGnyoeydgc0FRBFYVxLASQ5NDVsV2PvQQ+hmpOcCJZT+jrU1NqlG6iCT03PRnmhT3o0ruASf/Ki6SV+cGW3i95OVF4t/ummt3UtpZXY19jz+OMTPjUWWwJDgw/557EJubq3zlXk7OX+MAOGynau7oGt3OaOC5ZBd9HU0q/o8/e4BpMs7ZRhevTcF5q5KYeKDD0y8fVdhX9prQkH/z40LS192j2U7lHPcT6GodB7oaKSWpo5TE0cJL9pvDd2HNz+9C2qJFU/kap9vKc1jb0EvD4Tqaeva5fH+9uMipXxyPOpVj/5Pbtn+I6K92Kd+byOrlCFMlJFZWfJykaWPj8XHupYhJiUIjK+H1bc69eeQzyYzkPZtRmF0l5RPnI+9SLI0bc5fMhgelRiOsOFq3kDyCkaWlMPAdEiaXJHXJjxfZEBmLImDoI/16YjXB93iMjAIv+4bGp3LRncVLy0KkiPHS/mbx0nJfPEiBDkiLhiE5CM1MzfBJYrT0EOMzNd1cCNnKkqTiKAle/vRgaCCYaG8Nb0y58J8ADcR7S4g4prQjV+cYEUKTdFK7HTVaGCpATN9AEvwCUtiXBkLtz8QRyqisFEzKLqYLeHngvx5AzjBNWP33cgJvKx9UnnP6pzTyfTe14e5ItL4A9JU7NtJNYypLYkzgxPWKojlzymWX2QXmtu9pwBsf11jESTu7nmK4mxjji4PH+hV5rrOFpHiLxcUEKfHxK5YkTzswKAbpz/C26uywXa7Sj2A1n0UpUmiHOXH2/oJ/N+svDZTHjtxPyj7vNdPwRksqUF7RhR6OE81tlQro2ReRgLqxoAmfCy8fb/QVXoGyTiODTp7LmWRCiL9ZQt1GDJQW21w6by62DWffgqhS/r66RqmeJzIdLJ4SCDEaHqWTaWdrq2K+HZyS4vQaybi28Mc/RgQN479u8EVMxj/dUsM0vna3gTpHz5EAcsmU/EiB5e3XKY9oKjol4EVSjcJTv0MjddeA+MQxUcIjLGYxhHa3yf3Oo3wlzIxVNsJJYRkZfeL35aglxzB9KEVFoNdxH2TvswJGl/Idk4KCFKG8CBZUtw4pLGsBDKxbTnIAUsgm2U+/MnNvF1m+xzMxc3brJ2it71DMc00ltVwfmoar+1lkIOsjJgEjASKH06Bk6a2otMQqXV6mFf5HoTm6d2I7SdzxJ/ghoIawwgWA8c5fBE32CqfXIk5djpF9GxRjakXexz3Kn0EJ8VBd9j2yTwicEKQXc2EV/RdlPAgkeLJtay3qmQ4nZ8fyoTJfnZUfiRtumKWwbV2BKXLgo3rGawv44tvp4nyFNfcT3ocku9vtHN6LJq8uHNfTC4h9kNgSCPBiqmQO9ycQVE9RUo6kpTT0YVZtj5Kc9qNbC/DitnpKjhhCYfXICHurkoC8BwfKpTOCWEyYBL3PAC8uH9GT2uAibDipz53qh/6F8051F6ft82eAl9N2ab/5HZ9O4EXHDkx8DEweDo7ONi0pgLR0QaodD5qyaFjJhZ1myORT4IEwVrznMAFkVnYkDW7DJ9IcBJAwxvx14wT9VKq3bMXgQaYedVlWsb1ZBY4M7EJf/SRgYX2MHlwVeHpFcjBbio7ZV0Mz4prOLaaVg9Spl7BTV5Pl4jOqw1W9+xBPAEhvZWJm+j6ZcEgVQeiXARxEQ0OoLZaqAv9n4EAxuu46zL36bFZaJ/00yugvUvnuu4rJYPvhwxZSIE8OghHr6cA+OoupMEA56eqdjEuUddm8GYEI47kLEGRqt96Sj4ULk2wmpXuefhodlM9YtyjKixbceacyOd1BpstbHIRH3GS6yDB4x9gw5vg7puyfjjdDAMDnXz9uY9Zo/V13fzdfAfY+2liDHSI5chDdvKAwGuuvzprQAk/XMStVuHfeQfG7HxM063YYHSvfJ4vl7AwasVJmMPP665FBxsapNPnu1nY1JUX12HOoc0oLAO9gL1TxHW0ig8m6nVV5FCs/e5elbWr/CSBqOUlSkQk3xEh5JfKc4MInc67GSGwiK42BihdAZZvGqRTE9B1Lo3uQUr1Rid0UenhyQhCCOFmUSWAwDXMHjh+3OZ7ABPo+sJ/QtU3OfAW8HRktRzrZA6EisSlrga6pG4Yh7ms0Y9oXtaaDmmQE2t65BC7w0+0kR+hIEygp78YgF1Z+NAL0y6L8MjmQgAwZfAm9TNKR5JNxI2xe3+RExpcyvUgx2hU5gJ2HJEiqlPyRKqae/ZC5n4GzZyqcoEuPvCNO5JOmz4eEst9mJKiBsdV6Qwg0+lRoPWKg5s8IqfJ69pvSpgN4aXq4Es/+x/k0oT1uF3QxHZM88/X0H6on+DLcFYmWf3ig3w7TxfoaJHGxl8o0jJgLLkDqFVc4lbHspC/S6x9Wu/0+EVeHjgbSO/bagoam4xAwLUfe/fF+9/rLZ2D5Yts+/GT7A3kfHmfxotzHlu0SzXfnfspdTT4Iej3TwkYf5mLKiik2cj18vRZimKwX/XvvYZgLzq0natF6vMwoUeGiqCY6i2aXxvvukT0Xx7yKFImKeVuTo0VY2Ua7BRT/ReegM3w2QuinkdO2BdEBeptFs4Av7ZTM+oWFwT801Om98iKYNJ/gSyRjqV0ZXJ/stTX/nFznYrIu3vusBi0dUwA2HHx5eCiBJ4IDlQ0aRaY0HVIjAV4Wrb4TNYz1bqLU1O0mTDjpH6wMkp19XoDzmdlGw1N5Kuq6BtHoxKhb+qvls0M5f3SjA7L64gqGHLR1TAL8wZxT9vK59CDwYE96KR+fm8HEzZIeJW1P5m1y/zwJMi3SbMNYY5XC1DJv0ZSHJho6ya72gU/aHPRxTJHWk70UR1QFEywwd66piuyyhYNbMNRQx3ki2STC5OQxTDBzFCY1i4RrrkF/SBoLdF4KE0X6daPnoBeEUNT1zjPQtbcRYBEJkEni44XcG25Q5hD2ABT5t4MHm/Eao7wHrEyef/+7JfQhdP5emZ/f8Ci9GA2v0+DdBavLEM05wz0ssNqytfoNA9hF8KXDZwjFjLlvHaBfmtUSYpCsl1qtMeVIWmFDD/6wLAHpqZFo4Hz4iX+dQLfZIQzQY6iCXnriLyNtXqoK0bxug+PrjjPAiztP6dS3uQBfTP1D0/CJT7F2GvZyenZxBng5Pdf1W7HXaQFekg5h8eq7bM7nOEEXaw2s9UbR4b7MFzJwQeDcrX/VkhhO1L3seqMotEkaOkoMa35OFKO/QiaqVTKplgVW2VdHcPi119FUUk2/A3bQHEQiAuiUX36cVQ5qyjlwOmr+oVHwSF4E7axz0SULBAdRjrKg1BAsqSNlum2cYiumZL30dJFVyVU+NVhSS+PfXscx2YrGlYOlSJF8yaoIp+Foehyrd0JtX70a3tdeq1QW+lnB2/XggxglE0XDFKVeMmoEgDG1uAULUPC7P+OJDxqZCiAabJqjFbdT/zymsF5WkfVi7vUiDJv771uESBoLm1obGQEHCbzYY7ss/sUvlInpNjJd3vEkMOREO29+XdmZ4PuslBYEfD1MF+t7unVnAz7+ggwhB2CKbC+0WPF7iYpUMeXoAOppuCtsIXvtB/R6Kcizr3E+lRd8kBOAF3/3d8Yhbnb8XPL5mEO2klRwpMnEKO+mm5C+bNmUv1rekzYaYG6jpnn3AT4nnLCfTPPm+1y2kP4esnIcbwn0Wvnuu8/Bs4fVezF75q7lvZBJUiRBnkGCL+VzVmKrdy5m8lqaFjsjfJ7LKLNwleQh78oNofuQMNRAMz5LCUggvZpGKSUatuP3FDprFvrKysSsQDnSMS4eCdfCn9r4Jb9dCV//YS4U6eFTvJAT3TFoKE0a7ekhi41VNdemJ25fPqGkF7OvdOQpVDTLMl5afBVKCSr3sR8zb+J/NWLgJDoqFEF5UQinn5Mqi5420WpSrHsJJhkNKyVdzpF8KJF9jT/7AhPA7eokwglQ9Yhhuj3aitWHxZIoMo2gCxcPFk1MXiin1OnjCMQkE7SOweO/fAtp92YjmP5WJ9MGWvox/Oev8Mhf5hI4d6/iXnHMG/v+TMPoE61uf2X6uitx4Q+vdQt83XuoBS+9S6aHWZKdoy8SiVEXQbKMlAAcPm7r6yA+CIX5UYqEzrxNJ/NF/LpeIfpvD1C/jRLRIisz9EHdO/BiWpQHU8smmp5eTaM/5/XxwwDHq+rDx3GIUe8DHULhN/Yx3SExaPFmQltAMOqyrkBTtyX9P4BFl0WazfDua7EBVHzCIzCyaj1TikJx8XnpGDuyHc2bNxvfUas2TOPsLjJbVXFxlBrbj6w1fcSLctMFNI2PTE11aabs9sNiZ8MeyqM+/qIWXxHkdke+7Oy7RMqSnuTP5Dsd512T92C6gJfFa4xzvGpJuJkK+MLPhIdODXxRxjImCRk4xpW4SElaXRSGsRGRkU7tTmi1IzhMmaYpGcz06ezcUNTQfNUe209YLCJxz4ryQQNTKUXWoqWMfHVENYKqdivybuv7qCJAkuXRCt+UWeiqJ5BvOlBffxxfuJ7f5YQpKIl9BDiFtSggSQQlMtmRw0g48QkT+AYUlo70BTJnFI8UXxbUhCkpYPyy+3+NiMTEiYtiGlertmxBOQs7YjZv3lSU4C5/4AGncjw59v96aAdqatQW1/uctam4/PJsl1I+8+8bGvmCQPvnPD/nzFbDWD48x26128dWjFbhuK4Cu1u60UOAaRwfmfiaUZ0KPQRfmsbIBuLcPJsMwXs5l54rfjssVn1+sA2fH27HAD/YQbPkE5IcZ3ZZJDDjnJmhLEKQ/cl/PwO8TO0dc3fr8+B4nuvuPk5muw1YczIf+1o+cwa163V2AAAgAElEQVR4+Vou8zfzJS+99BL+/MjLp/Tll19+EeJSVqKaHhAmR/pa0vqaWxnb7Mh4gN8oyRrREd7UsDs2OJQDm82BMCZK5Va1UECYxNhATkojkJcdgUSmAZkowxpKDg69+io6jpH10NmL1r37FUACXqwA+wn8Y8f0jasFn8KZGGqm6V8PtaoL16I/tsBmYSJS0nYySBpJq9WNL9JlcdnHNBFzmUiBfz+u6twFv3pbJ3kT6CLnrAyyHLDpQaYM1JL6FE5XfdWsLATddTvKP/kI3ceOKfetg38KbdvUAiIiMJ+TxhxS3//5aRV2MSpRFlptIsWq7lUmGvMzVAjlQG3Oelm8KB433pivADvynV898QS6jh61eTZi58/HvNtuw1bSVN8n02XUTaaL8CDuoLwo72uSFzl6qP/5Xim+OtgxIXGxt10qjdV++r18TjB1eP6fxZQc2QcGxTT5Nz+ag/Bw95J93H3Rnn/tKA4UdyO2rxiar5jEYuc9EjPC8DBbACv/5puRtmSJ2wsGSc4QQGo3r4m7EZzOzsOLMp/jC+LQzRmjeDfdufltqPbtm8AqpNKtLD7ldZNnmzK6/9GvRHxiECUFltdRR4CjhP2KeMDYa6IpT2R0aDrNB2c1fIpIxsVba8ZDyXoRWZE1WCImgiLbGaJMT9rIWCUX6UYGTPa1i5C+mlU2Vty89D/jJI0MDR6LmvGgA5T0qemtNHjihHGBZ2eR5+59Nm3XStlVDc1exzEgi4/LZFv8h2TiLBLC8qpuh2arslgXnwxpUjmOIwg9HBOumPRG5PogvlDLPqmbprcEkKzKg2JCHMoUJInddpXcI/sPI8OpjyxFdxY8grPGpDMxytd1igeNX/DnH5Vh6eJaJKWeHEDbyGjm4v3peOhR9xhg2vZI1D41jLqDdZQe2ZdjWd/T4VWXoD5qNubnhuGmC+it4Ia57cEjrfjH2xVOxzJJdpEUIwH4lUUbq66HSyyZJCLHiCQzzF5bd0k6Vi07NdmRPOt/5gKz0U7EcgalH/dw4WKdADQ21oIh/eOsYlsWFgzDd9DzIhVH//EeugjADtbUKWOtUPplkaPnc1oXk42u3PNwpC/eRlZZENyMwLItigloqEhAAihpGD/xuEuvwfKrzsHcOXHK+6EnuHLg73+nJInvu50m4Esvx8rAyEiXbBYfjv0CvkQQvJ3uJtd3574m/GtzA9kg7gGDzo4hNZ7m2Lwn9c0SJ2+55XQDL7J3AQZrKYF1h+VmOpowMl/6yJRwp7+QzwSx39NwwSz4nKPEtby0QCQQbJd551RbTV0PGim9NG8CWiwojEUPacJlVvHu8swKuC2y5XAVPQCpT+ogU7sgohtp9azYj47QwN+2f5OiYFBaBoIZe65u6VL6ZUXaQyCgJ38VI6XzlLlIAMET8UTxI4DmZwamSL88k+/7HBYlssjsjowIQD2TFEvfeAMGPs+mZt1nBycnY+FPKNURxHu86ZjEuONPf4K2nfInq5a3fj1muFG02Uq50YcfVvBaTJ6rSK//+MezEBIyNfN5zTBdAX0OcLxx8Q6MnsOUtAts+tghMl2eOf4ZgZUuDIazYMCQBCuvegx202OM/Uoo5wkpiUbmzL+x3JvL+YmsDZ74VyU2cu5zosnSOHjiuSUDXeT5nf2MdT+TajTV18yt7ddim1vbTfdGX2DldO9y2vZ3BniZtkv5/+6OZCLRQUqoGD2KEeeeQ+1Kpdqeg73pKmSl0deFg5s4vjtq8aRzF+RFUK40xXIGdygDViIN0wpmRijSkeQEpgPxu3ZyYlbyMpNVxLeE/y0LwSEDq+JgxJyZ474nF1uBi4vodN8DTz31rG1BGCY47zsjD7pZa9E3RDoqB+p+smWqu0e4CJkciOyBLqZzjPDT4wZSLZPLD0IvwA/bBNNFTOk4iKm438m0B8urMxQXghp1Nw3CaLgJHXS1TGGRGawi1vVAGmNxF//61xxoKPvggu6xV0sU1ou0UlKauxgDHMTBfUVuEFkvlhOFu39YiLy8WLSXlODQs89ijAO1efPg4mLJr36FffSe+ZgLtDE3mS7+vM53MuEpi/Kib7rJPX7ihcNMlOl3+nyuWpyAKy9KxYcb6gjUtDqMqFzCZKnrr8xwq+rtzrlv2VGnmCtqx8s3iQPF0O7dZIxEHm/JCSqF2WV3gcx7krtuHWasXOl0cSEGgdt2NWDn/rYJjwV3js+dbVTURpcRyJt9cA8KP/toQmInb7GJ7SL7MfgH4N0rb4PXITUSWGW2R+0fZOmxhEaTkmBmaibARVLPTJ9JadiM5N5SApSWEjYVZUWjVrIi035C6fUyQBBllB4p5J1wMmycAPoEq7D0t2dzEnwxDf5sQSzp70aHaOzHzw5ImhgXejrxkRAQxh564sZFE9aLGIza6w7zCZxIlLGALl09TpJ4uJg1MVrC6a8ggJX0b0ofw0V0NA25Q3JjYEgMpDfMCFTJRlmSJ00gVVzUStqRRHhKBdXRYkf2FRLEdAk+n+4Qf0SpkpBBVqGfc1aj6RIFjvnj4XvLcPfPKxAX79wk0tFlbW3R478fzsaDj7gGXgabI1H/7AhGm4wpeO1M2pLKp7NzG1pzJRoicicWubNnBOOWC1NJ6Xfdvx0qbsMLBF9M3kbm56DIDMdjxk3/LuBLZmogjpQYmS9iGJtOM0tnMphrCb6sPgXwZes4k9Fe//4jguc5DsBzte4lGmce5FEanzmdbhQVFVH4+BMunMp3IGrb6/AcLxIYwRcm3bA/1mYVYVvGTfQgsqx+hxB3K+r5DIMtkyykUC6uQmm2Lx5OVzz4G3pQWIJz/Uz2O8wxXthp9toQGXDyLfI+uJIS+QYHY8HPfoYwsmTcASPdeM1RVdON9z+vQWWd82fMnX1JDHkqZYSVdYNKVd5eOx3Ai3yPgC/iP+YukKL0GwRrNeyTXLF7Apm8NkDj03b2dXK/hYVq3R9FhXljXiYlRlP0dZHjkILb4eIOG8AmieOqGMUKe7mEkpMOmrFKXz9EVouWz/LgIJkw43PErFhfeNPcfE7HZ/DR9NE4XLY1TsOkKZ4p9EiJzJqB/jmXYjZZKkN19Wa/p4xdFYyei+9Aj8bI5pYindRYhMWZnBCIxXNj6PMVq6Q9WT9/h18ng3vrVrvhEabnIHnVKuRfc80EYFEu8vQPPlC8zcybisyYs375S767jj3aTNsLU+jhh3eisclybigJmcuXp7gFQJv2xR6A6UnPUqJIjzYnrHNl+5Hr6JOz0ILN/sq7pdhNWWjiOfSOGqO5dkwANARKrEnpngPz6e+URIaNcTwRPu499IZJo6fUcx9W4mMyXyqdyNlm0jMqPdIXn7/9lzNx0u50TFPcZg22T/ET07P5ZrieH0zPN019L2eAl6lfs/9vP9FLhsd/P3eAmlypvI6R4j6EdiZuqFkZNWe/pCUFKpRYZxV2SSVYPj8GmlOXPSsgTALNEPNCuzG09V3ou9vQW1eHMS6elMZRT2OgEz1p0jL4ybGGLF2MzoGuiYHNS0fH/NYA5Xc+4ZEwrLgcBweC0UDQxZyQoOMg3cvzdmaIKtTR8wKasbxyG3wGhDJKvS5ZLWEEROg36RCMMnAm2kRjQl0XqydR8TSz5QKws32Ccho9Mwezr7kKM2+8cQIIeOnDcnx1rFdZJMiit/hYG4Y4WVmYSS8MjkPmMpowemTcf99iHHvhWXTb8cZIYEWk5eqr8an4MbgJuqgU0GUMM+x4f3xTL4rynD5/iHRh5zTX26/PIeU5HH999ggNIemP4UBmdg99YXIJ7p2qIaMwHx5//jA6+UyZt4Teg9Ad2k5KNQ0iKQUpoMTI1aIh9ZxzMIvxttYTNpExbWHayuadzaxaTb1S6Oye+fMZTklgpZIa6REu5mcf/QDDnZM+FRZsF+7o0HmX4520IsTwuV9Lvb2GDCN7rZ/V7uO1gwpAmcLJcXTUpLGpafvg4S6E7nkTGVECDFhOIIX1MkA5nt4KFPGl54MnF1cDNTsIokqCzSTAm3HpcmSufYimtK7ZTDI511Ly1085kpqG1IMiS6JZL18ut2VJYvRYTkaadby0nJ/0hWFMDZJn0FUT4EWqplJ9NbFfTJ+Raqt4g2jZD4ySreYbTjlSdhQSF0RCn0IAJohyKw/Kk8Ikec0+6BHCRZGGC2Z7CVfWxybz3OQs9qmUdbrT/Ml2iUYk7vvFLvzwawBe1A3RqH+O/T4r0eatm/eijCaS9iRZIysvRm10gc3vZsQH4A6a3EYwkt5VO8gI8BffPmEDvjhKMRLwJZvgSzllF1JI8OGCwVW7ikDQ2hWpLvsJ6/0McFH2IBem3QTWrdt8sl3WK54Q9r9/ZLSE5YuXCWAyLapFzedVAAE9jm29ED2fbIR/exMi+mlkL8Zj422EMrXozPl4J/lSHGuyLLAsCCEztHjbhIxWmKDCeslID8XlDz6ARHqN2Wu1X3yB2o8I+JrGd6uNtARIR1kE8HIDOfQng3QhwZcQMuROpfUP6BhJajTPHbIuy5/EjlPZz3KJTvCDC2AnY/HpAl7kkIXZ3Ehms7W3hrPTkbQj6ZscFeVE3uHLe1xlBsIZ03KE6WRENWT+tIYSIwe31+XVbGjqQx2ZlOagkVzCuYxGVjHqXMbMAUrt9pX3TUg6BRQVwEh6RWEXibfMuoDdGCgrUfoCky+R+XibIsWR825Dx7AKSZ3FCCnZzgRKS8BCu/gCtETmKyw4mafOnxOFhXNikMnwCGcsuhGe/G6mKJqHKtg78cLvfx8JjEkfZqFxO9kuMne0aDzXWeMsWZcXbnyD998vxZat9bz+k/OHqKgA/PY3S5RUyKk0Pf1vBHzx9XdsZm7an0H3fcqpZip92oYt1Xh3Q4Pyq9C8ARq292LQMIwh+qKpKcE01VDFbDsiJB5+I0XoMfOrEsZS7pc1KC4eIPA1yhjuIbRZFSLNz2MtmffbP3gMhwfP4gNKaeTJtOEe/Hh5OR599FGbT/+djMDNO5lMyofpP351G+PV0y22kd/JNkNEWG+77kJceeEK5ff2Plff1Ma442dZhFFjfmEufvuT9cozXVXbhB/e/1fccu35WHfZt0dmsxLG0IWvu23D0q/7K93+vjPAi9uX6syGz75KiQSlLSYWi0yURKMqZpBtNLNqadcqcXNS7XMVNbhmmfip8MPT1EL03fDf9x4XRKQac9CMIAPTs6cZeg2p0eIFQ0aGVmphYgi3oAijgawW87gFQBJphPzp2RvIyErGrLJXH6BZpbboXNQE5dAc0FhBkAqfyIucMX3MT2dO+DDW92xHQmcTcz+MFQ9HzYMzkm6/IXSXG2nUBk6+NSNE+WnaNsrJq09QEPyz5sLn7KsQm5dLw+FQVkpD0cUq+t/fKOdEwrjvJokore9XgJ6V2UEWCUfy++U5QwivttXJe1KWoSN1dVNS6ng90/WNCeN1vYugS9K3CHQxHXXpiS784/USTqwcyx9EP/2rH85REgxefbeMEg/724oM7DsXBaGurtr1RXGyxc6DfH60kXa3iO+npOzgFszODmZl3b3JTTwlRwXXXadUsgQcEIbL5l3NSvT6VCqVrk5KAJG0RH++J2MEBoeUifj5dRsQ0HICXWSlyCRInj4dF/ymtU53RhaeOfcGGqsSDCCQEs6K4YLDLTTBtl2ky8LTL9SbEyOCntSxO2qJTYzbLP4KBRlkg5mlUvhH06SPFW6TrMj88yEzs9FX8zEXaUbGg6l5+eZi5b8/jWAuvKbSTClrIkmSSbHIkrRkxRgkttqMGm5vn8Jo6ewWeaLlb/uZeCLJFaLhd9ZHyKekytpMAM8e7V1+L+kUwdTD9xAcFiAsItIPPXwHAoIC4JscieCZkYid44/I/EGCL5Q/MQLU1IIYd6zjzXQr7Yj9aEompQUq95guPnpvxBJ28aZn1C9/tv20Ay/qumjUPsOKfYd9ZkQfr7mAL+ZR0GNLz0F1wgKHHjmxEb64k+BLfMykV5ajZ+fgUcqO3pqUHamZyFEsCSsOwF2Jmr5wZSxardZNzp7Ny89Lxnmrp2YS++GgBp/52PYvnuww7ucYGe+CtVjX+jBaO/eRHWAsYtBNAXWve6JqB+PoOY6mqRvg2TcpnYrMyIHngC8Oh2Thi7AFSrSvtKigMeQ3f8z+oEcxnjctvmWI9EvPxfzv3Y6LL+Rn7Uhd5R08/NRT6DlyxCHwOczxbFQ6QRfvpPJOkT06/0c/QlD41Bdcimz3QBM+2dKA9i7nsmp3+plwskYSY/1QQ8Bl0A0m8OkEXuR4G8aT96YCvgQTfBmiH4q9QkZElD/Km7U2rJhgynrFi07Al8X5ofDnfXcr6p7HKAwSJUmSz5F44ZUwbEAYlDIP9KdHmgAe2TNCFHPqHoKujc0DnK8OoZP+VYdODCq4Vg/ndRIYIY+M/KwIrkJQ2XZEU0LVRYm5NXNb4pQTL7sWjd4zlP7cR6/D7Ir3oKm3iqgPppfNDXcTUI3BXCZWSny6q6KK6Tnpp0z2K4Ivww7YXbKdmEUvue8+tDKAoYpgpDXbRZK+ziKLeSpFo87OQTz8yG70WKU+3vmDOSgoMMr+ptJG9VVMOiJbztd+Xzy5L0p+dT9GSRmZKm+eMJtnGxC/lvc0WI0RFiN1ZKj0c74sAFk4i4kSWuE9kkMPtBRouCCRNMFyzoGHWfw9h89CF6Xk7ezvmzjPk0AMey2YzwpKnsXe3ukHXg4crcBTL3+Ip/7rZwRHmvGHR1/ES3+7b+IwtIwQv/K23+CNp35HGwJvrPv+7/H6k7+l11u93c999ycP4kd3XE15WgZ++vu/49pLV2NeQQ6+94uHyJZMYCJs0rcKeFmOr6byuEzbttuxeNr2Nd07OgO8TPcV/X90f//aWIUN2xodpmH40H8ljPT3dnpKlFapCbwMGwdOO1hDUX4YO8xAlzG27l7KQGgQeuR9aK1io729DAga7oQPPQ98mKihZ5ysf/4M8rmDGLVnVn3nSCsDq5oDsbpRhc5eVvQ5cMu/GdJnoTFjFeq7DQrTxV3QRZzm56QHg6eKedW7EFG838bwzPz8dKRXt1Qfo/zHWPUeY1Vb191J5gm9WgKDEVi0FGrfaHQt+I6iv5XJgnjeZKSGcAKhQ1XLsHHiwl+UlHTQ0FiHxVlBCORExmT4KBTbxKbPkOzTRd8SS6PS3mVnYf816zBsJ1rU3n2IEqYLtbTxU6yAuHtPp2O7TzZVY+OXjU7pytE0Y/vlXbNpglivxEg68hs5tPMpHCij9tvn5AxBR0b6MStjBItX2RpVm8718pmUxByg54sbiwXTZ2LmzYPXgvOx4ctWMnzs65hP9lrK/Co1QaQ9YOVTy0WqsSI5v/84ZhwieMfqzBg17t1koAxLism4t4sXgbgX192F435hjE2XCbVUGZnSpKZpJ01I1eMRpJJmtmxBLNZQNiF066feKkVJraUu3/zYVaN9CP2KcgZtP/IJvviaMQMkQlpNIEQvAIh5CxiAXyyNsWu5SBtvBgOp7foiZF58GXIvuWRKk1LraykLr2Gy2sTId4BsGDWZN6OUWyhAjBXlW0Mat/h7mCcKCegySFBKqrxJNL81BwKsvyuIZtxCixfjXTVp8Y5knBEECqX5cMHRZsWukn/3ZXU5IS0CgdmxCJkZjsA0Rqym9XN/agXsdaelZND/Jdi9haY3pZzRoFmsp/G4Tjfwoq6ORe2zAzBwUe+sqTXDKK1l+hYZCvpFq1GVvMTlYi+M9+DOK9IJRNomcVh/10HKjl58u1zpf45xASBSM0dNmF65ZN8lx/mhotq9eyD7mgrzpZVMkIcJrGnssF1Wj43iSi5SHS3QOrgY+4z96YB2D3Jzv+SzYowL0TBUrO3zMrQ2pkKt9kQI+7loGuVK3+BDtlnqjDnQdzIOnc/523NvwuFG8WkCFqvIGivexb7BWwFdZMEtC1hPvtOe59yCTq0KZ69KxJWX5dhlBmhZ2d//2GOMrbf1szBdY0/KENVivO1GfxrGiOl5d91FgNI1A860/3Zekw82VOFIKSV9DgA1d94l2UZIRplMLmsnaN7d74ZX0viOTzfwIl8jSXhVBCndIBBNnG4wmXOSDGTuMxfC+WELJer9BO3sNRX7pcKsEGQlqljkIvtEkh/5rEjfKAQ9AWcCCTwLoKLin5Loo+L3BJHFIkBIEP+7muD2ZsrhBTwWYFBAFLm2SxbGooax1Y00zTX1v0w+R0UL/bfo/9FLbxdTsSI3qAcZtZ9hRKNFBGOXheVsLp+SUTBjxSJ0ZZ5vwWqb0XUIgaW7KHMfUrxewkJ8EEsm9qwf3o74s846qXGmfs8eHKN3oc24ZnYB/y97XwEe13Vuu8TMzEy2ZJkZQnbAaRxmTtMkdZMmTZvetGlu2r57Cze9KYSaOInD1DA5zGZbtixZZIHFOIIZwUgj6a3/jEYaOAOS7Th9z7v151g6fPbZ+9/rX/9afkw8uFNoq58aZRaN11Bw/fVIWbzY1W44ud0zz+zDLpYpm7+/vNxwbNzI5J+KNpSzEwwbviUw8q5Tp6OeXl888exaHG60FMj2CB5BPMGXnnHGOOwLBvYRMIYVZydT8x1aisZhP5Yucx5j8ldaJOPg5TVdaGVSrZ1spNoOSwa7+XXrix9Dw3gKfINjnN2O6u/1fW24Zdkw/spxybw9/PRbiIoIwUVnn6T8+JxrfkWQ5T4mj4z3uHt/BV55+3P8+Tc3K//+3QPP4OTlcynKX2uz3/MP/wbnXX8PPnn5L8q2Wz7fidKKOtzxo4sYO4xg88tbWI4d+L0CXpZjyiJ9Rg92hjttxfT7/QxPNe3dTgAv035k///tsL+knQFkudPShdREH9RRTFcWI5I9kKyr0Lol4DSBMMnUHxAxyZnU7qo9eW8Kd0VVfoD+amqh2Gnehj5497VClN198qNIl+4jSj7hzcdrHeS19otiPSdqj2GWHGkClVpfU+nESEAY6tJORXEXAwIXXCsSo3ywLCMI1PTlYCjZGNay91cqi1WumGyuctzfBy29DRhsm6h1Z+Z7aIg14rQcleYfEwf3mHT0nnQpDiHVhs0wynSU2PP2MKAJVWqmPdBOsV0/MjpWseRIM7H4ihhphEfxFs5aesyjyJzJMaeWQW/bf94HTSSZAy60eKJpN5PpEvk9Bl1Mt/HPZ4s5gXXbdS6S7ZbMi1YWMA9uLqFo9JBqjfq2zx/GgYa5jAKdL7hUH+FoL+Yk7VN1CJPtxd3mh5fPQnNREUooij3mRNRVvjER6qxv0kIfm43O9NOgP4oMsjTawAsG10CBQv0E4CLXGTvajdV7aXPePSX4bGAWs5lZJxPOsHv9hXg9oQBu3N9YNjTlZJJI7Zl5pe0U1Y7AScsTEEv2gIm+LeU4j7xajjo7JUly/viWbRja+w1CGXDn0cXAlH3zpaDmOPujfkJMV7Yd43cxNr4fYXnp0DU1w0DtJGnjYwnwcGOZBrOFq+6774jLDMzftyLSSwZML5kwwoYZIBgjAr2KPgzfWR1FdqVEQ56VLPy14ho0gU6HkYIvCwg1jQRZbIxwEDWtITUcWwXoUhMNlwxgBkFfKQkdIKijxn6ShYswY+TZBxKo8Y2irkhaBMGYAARm9sMjUJ5VP9lvtoyWpFSuZkKEPWjpUKPW70U/K5rlRb7uU/ooxxJ4kfKiw/9kcN5h36rZ/Dr7CYZVJC7GvrCFTkEX037iHHfzuaksD3LOlhK3oz8+tJdgCheudmhowmIqIBPJk1lcsZFNor7EdMCXS85J5beU7DATLePFcwT1t3naOv74sc/+mpnkcJXxXJg6n31dh292tCjiqZ50rTrvnPf47hvIJvVE60uctzqokaWL5DwTozB6Ush68ejrRcKcRfAjw8vkyHcwOg+ves+HD63Qhe3iy7nbQ5gNZtprPgVL0R2/bHLBt2ZVHC4+f5bybKxbI0VID73yCq/DDlDF/umZlQVdba0izOusRbJkcd6PfkSLcsdaPvKNSzmniOcejXLOmAgvLpa8qOUy4FKJn/l9fBfAi5yvraOf10dw1nVMiGOZUTBcgE0BjQc5D7SSFWQUnzUWFkkcJoxKAVciCFRccUYCli2IZRKPDmxk7fqSwedPdqP8bW2DLP82L/2R93L/gzups6NT5i6Zd/opIt1DoDo2Jojfn+14Rd4WvthPVsREMiDCz4DlPZ9goIUsZcZPkrSK4nWZ20iHxMci/LzruZi37JM+Y4MoLP8X/Ie1iKHldxCZq3J93tQQyv31r2esE1f86qtoEDcvO8iXhmX14uQVzr5u0E2JXwfTmXIFHSqnw3Yx9a0qMoYf31RExrTld/Oru5cgOTlsRppIgyNv8qVsJVNFvaRWGOUlFRq0tsVi5+7zyUKyzNqG5PbDd5aGLPBhpHHu7+S8pTVj3wzRWrruUCbqhi0ZOQkdA5hb14NGxsFSctRsZaYg01gG1yW1Xz6CEq9TAV/n47rqWDKkwe15+2xKjX77v09j1eICnLJyvrLbNT/9A/7rP36IxDhjvP3BZzuo8VVN9vXlyr+lvCg+NhLFZTU2+91588X47V+exmubfqdsu7OoHG988DX+8KsblX8/+szb3zvgZSn2OBt6j8nvt2PBMTnu0TjoCeDlaDzF/4ePIRPuQ0/tJzXTcXYzK40DV6NQSC0fhkyG4nAgIIyBC4eC3DAK2rrmluHssTJkQ0L9Z9AetHXnsd7XPzoSQQnx6DlUAo9I6h0w/vTixD7MQFFAFvOY2KM/EHrSo+VnUoKkuBeJrfL8U1HmlUVRtmHFZlAWT5P2gTyhP1kquQyac6MDVTU4U0bbuej8BF6trIM3NY76fSFudC/aN/mjUV6Xnu4kkmIS68volEy46QbhtfJ87EtfhXb6WlvH8Bou4ioaGLhNlDMNUKHfwGs/KT+YbjAsY+BcFF75Lu+/WlnnxVEFPj09FNV8J71nnonuc84ljdP5QiqJi9Xdv9QAACAASURBVNmbKZQW5sSy09m7+65+L04FD1HvpYbPxlH5zSU/SKeDjj+efqWcQZjtYvNYAi/RLAf5+S1zqW9gFJJs3LMHxU8/rZrlkv4mAnhNrf1oJ13atJjzzaR9cs5aDI5MjwZs/R6SYn0J3IE220PM5ln+VhhTZ1VzwVRJm2azJtpCet6Dxs8HbbMK8MSaCymeSAo/M9mShTR1KwmEoyN8cU6kD26mSK5a5qxFxpuXyulUoF7C4kutpshtzzCT3Y04Aj7piYGTC86QvDz0MwhVhLXZDKPMdrvTzYh9NSBlNoGQPewDfD5jhQz4jVodKRSrnkWtnJkEp876sCLSy2vpJQumly5Jog2j79Kg5EAzWkh37+OCwBo4SSHzwZr1Iq4SRjB7KhCVcUm0jEZVOnUk38UIAQ/RllLGXTvZ+AjqwQig481xy2Qx7UbQxotAsG8Kx0uyYQKyCMyk9RKUIBDMsqR4msB4RBhLNp01AV1E08XPDHSRfY4V8DJwOBa1ZLqMtbsGusi1xJx7LrwWrcLjb9Wg0ckcZ36/4uh104YU5Gc61gYRnYw/PrhLcTGzVx5WSJe+4MCpxb4PmYyptA6uqHad+XLFeRlYuSTBLvhSReDv4TE36FXKBDbQPnqtlX209N0vKAT+xdYmpXTRfM23YN5BZGZuh+YLLbp2kPKiMEbdCfbnUFyV/YXASgaHslh/uhj1TpWyyfP75vRr4dGwD0Pl+2z6pScdWkZPuoaaDFN29bLPiqVxuOLSWarf6H6KxGsIVo/bEb3246J3lKCsMNKsyzDU+m/ckiXIv+IKu1oWVRTPfZviudXMqlsR2px9Dja/9yOAl85kVXPHMBeZ00A0zI70XQEvcsqOrgFU1XIs4KXKWC4lYjInCGgiZR/CwDWCJV5G5x4yGmMpWioFaYdZ9lFRP2icCwQwkf/xv5XSHuV+xnHqvHDoWV61kizIS8/NmpaQqxxhf0krnnulTGED9jDZV9fcr4yxuXQNioyYcv8xfxEdnQPoZOxUSqalfBqne+1i39xvZNnwAiVm9SYwFCxjJGM+N26Udd3NaBiaKhmW5xBGxvKKxdFIbtqJwR3f0mbdcv5KIvMkatGiaZfpyLWO8tvd/sgj6KYpgnUzkFkpZUayTfzSpfAhY0thx/DaC2+8EUlkxM60/f0f21FeTv1AM2B01coEXHJJ3oxYL3Id/cOb4eFVzMuzfD4y3pRWaiZLEesbF6CkZAXHTMvSoNhTOxGbN8Z5KBADjHXLiQQOkA4lrFEt/+g0aXQoiiMzxnKCSud8m82kx6GOIbSSjS+OfdKkz+YkBzFh6YNtr92PA8cAePnvvz9PIeW8SeDl6tv+m0DJj+jKapw7Pvl6j8J6MQEvDz75BmPRSKXUyHq/u2+7Evf8cdMk8LKjqAxvbfkG/3339xd4WYyimXbBI9pvJ+Yd0f7HcucTwMuxfLrH+diVDPTL7Fgvunpp3+6lo8+g4+Ayg5aYTe0DNgs183PIJHvrNbnMBAQS1e4imtvF4EXLfabvaGQ6blLHVmj3bHN6K57BwRhdcwV6h30QqymCd+s2DHh20R6T+Q5RmZcgQgkgjItWRWCtO5T0aKCHFq4y+ZqaezpLj9JWE/zwUBY9Ii44QLZMDOuaY6icm0xXIpmc7bUQ9yEsP/w1AitoF83JRs9sSms9yxNMmQqmavRUcB/tNzJjIrNy4U577NDMWfAdonCdTxDK1pyPxvFQiwXaCG/kEDPpnROZGwloNHTwIOaCLGbUIvX1iG/8Cu6jpIDzXiXjFDA7EgNR4Ri7+1foCXOO8ifzoDczMxr6bwK6mN5BbX0vHnv2ANlXjvUobqWI7iEKoH61k1okVsK0xxJ4+Y+NBUhLsdR+aWIwVbx586TzlAlwEbaE1KeraYH4pmWjL+9MDIj/+TRbXJQ3GRAepGKTJTHhuGR9iKW9xUimDs24lQhIN/uZ1NR7LUjG36/YiErPICWIFW0X+a4kgBXbzfhYsimUsiM3nMRv7wIyu9QAj+r6Hjz0Ci0t7VxHXMdeDO/+nMHmCNKZqYqLMorxilCmO7/1AdFcYV81jJVyQWDUmwjKyIW+sxv6bhFQzJgMgN35vS2/917F2eRYN7kmcUn68MUvUb6N339LA4ZJfx6h0OPYxDMVOr0E8abSBcm6SvbW5IJlfo1SpjRIIUvhvZhaBF2LJKiUMUuEdoUmL+CjWrI0kKyh+Bj/SX0otfv3YPmJdwRFeqlRkLEmGMHzNfAK4TP14oKaY5m9JiYWUWOR8PewtYw+FsCLtiIOhzfTRltjac3s6J3GUEg88bTTlP7YSSbWk+9Us2TTucCx+TFvOTcFhRQwVnPFkff918f2oJylt4NEMQ/SaU0YSOYtlQuIxPgp1pfpdwLsZCT70Z3NliFp756uvjATSxfE2XxTo3z5/+D5K1XYLuH83d3sXwET5QOKfgr1abZ8XocmlmWoldD4++tx+oK30fKvHRjWTT3vvj7azHdzHiHVbdncWfDfx4XiRCZGSkWiKdDpt3YJvikqRWV5B0atAEHfJevQGTRLlfG1iA4wV18xm2CiJSijp8j1HlL7h5qstDXMHlI8wdUO/r6X8ZAr9TLJdIzLo1uMOTCsYzmvPJNvdrc7NA1wdQxJZEmZLxfzNfVib+4CimnnwEcLeFl26o8VLFUAFKNmitGyPobvLJTMAj9eq7gPdWoGyCDtMjr8cCMP0ddg/xFGksQcEk8p7j2KiYDxv928xqmlQqBZZ3/+nZ8ZjFCF1We80SXzo3D1heplZmqPQkcmwwOP7KJDYQfayKoZmLB+FvbvfIrZ2tMKKj7YqWgUjkv55WAVghVrc4MCHAkAbgLGg8lEY7U6/JacAp/ZK8hUJCDDRXsikzUrFsVSYyOGbDVvRYS97H/+B2MT7l6ma/Wl/XP2XXfNmPWibWtT9F70PL5505DNpWtsVGYAeR+p69ZhnG6VwampWP7znx9RQmH79ka8+i8CWWbvTWLl3/9uOef2mZVccyaDTpyOfA7xiicgN3acQ2SktLZbjr2lB9ejpi7Dopxr5apgRJ7ahWFfIxOnjx1tN4WtNWbriL7muWgYppSBVXZgdl0vYskQrmG8cpgguwjz5rFUX4SdpR0r4OXx59+le1eAosUi7QdX341XH/8tv38j+1DYLs/+6yPcf+8tyr/vu38z1q5ZiIOVdar7/YClSh+/dL+y7XufbkdVTSNup+aLtO8j42UBnCfG1b7pI/3ZHsw50kMcs/1PAC/H7NEe/wP/7Gc/w9+ebjumuhTRFBwcINquY6bLUTv/jGSsNXNhEIRbaqRLCcLsP9iFOloXmmd0nT29uJ59GN7zpeIE46h5KDXjV6FjzAgseDILM9pVg4Tej5kNNqqmm5qxnliCCYIwBi9oao2WrdbNM5xaKwVnoGYoFCJIOT/OG6mh3phdGKO4EFQc6lUmbXOnJ/NjMIGCRVzEJpVvJ+3xMAY4cZraODNGgxQIZlQK34hIhAWGYoyLs5jcRRSKNJZ3jDKwrVy+HrVRORYAgYa02nIGcqbzCtNIdGnmJHljTsuH0ByqNT4DBvU+zAINkI0QeekF6N9wNhdStJi1ou6aX3MamS43iQjiDOp7nb3L7+L3X1B49t2P6xxaK0u98M9vLsDLb1ehlgwZ80zPsQJeNpyejDNOTlUNDFuKi7HvySfRS42EplbdhDCrY6DSNzkDuvz10LH/utIiw7xoMeylLLIEcLHHCkoY6cCKvW9g3CqDrbDZCE5KkL1n2QbsPGslKkMCjNoNwT4Ip/hdEtlVwnyxDn7PJvhyuh3wZR9td596u0bVIYQFRYja/RLLh4zMsTyW1URQ5Ff6b0gOvwkusvR9DEbdyvkz0/fL68mZj97SIfZ/S3HUeIoUF1511REFqa48a9mmrLIDjzxTRoCrFx38E2voQKybBhEDLXDTUiuC+gDRgdS74GJMMqne1GkZsCOyKWwnsQ03WaCKCLSOte0mi2npz6EEcbpZ5y4aPOZ6WzIGhFC/QNyPFDtXJ2y3aJa9+8ZQu8DbBz7JBFQyqBGTyDIAliV5hXBc8hAgxghQC+gSORaBgAlWkfWzOdrAS5+ALk9Sz6XHddAl+vzzkcRFivl9a1m6t/m9apTUug52yL3d+INkLMiLsnmG731Sjfc/bZwEEgYIsJXX9CoaXdKcOZjJ4i89yXfa4MuyhfEW39pOgi7Pc85QYzReRbbLUmoyyXNoo5bH2x9WoYSaJWp22Kb3KP1y/sBTGG0S0cSppMQoBZRbW3LhRhF4v4hMLDn4IUbJTAtkP0tLCkZQVDB2E3jUUPulZ9gTVdXdk6wXL851+mVXUP/D/pc0b04krr0qn4wKy3Kpdo6TZWQIjpqVWVgfJffmm3GIbkhiEe9Ky2H/SCNgI8BwCUGiN7bUUtSawuIzzxNNvHN3SBlnHdnBfVy8H2mr2fUgNHsOIiLIeeJE7VxdWg2Sl+fht/f/gwtB45yhjKPK2G1kYZnHBfLfxWXt2EzhaFfKxfUcd8oZ20nJkQxA4ohn3RLJgMxPDrRhN8ydFY5rLs6hrou62LyAhNV13Sg60I4vtzVjKzVJzJ145DyZLEmJjQlUHd8k/qyqZfkUJ6/sqEFElb2D7s4+C7aL+bXGzcpBwKmXMk51o1huGBaxXDsvO8Jm3qihFbTmm29stIVS2Acj6UDkbKy11yekDHm/JGMm7J7E+UjYLuZldGKRnnTKKci/5BIk8lxH2v7wh69QRztz87bhnHSsW5cxbUaS6RijY23UEnuCjChjaX1TSx8BSPUPf9euqzlXBiv4bUFOCG65ugCHxxtQNl6JIZYqVjX2oZWxtpbznLGITSp7g9DbOgtNHI+s25LKTniwfLqLSZsgEZxnYsHUjhXwUn6oHv/z8EvY9JdfkMXYgPsffRmb7v8FWlkO68exN8DfF+dddw+ee/AeBcC87Me/xysU2q1raFXd79Z7/q44Fy2Ykw357+suORPzC7KU2/g+Ai/zwCTTcWhFyD8OZ3XtlCeAF9ee07/lVnfQpeavL7KO8BjpUngRQYiJ8qSWgOP66XmkUt9I/Qp7dP5RcldbqUlSWtmFooMaLjKpK+HAkjFSWwm3vR8zU+w8O+m/7mI0uyfRTpY0RwaMFe3UVSB9MY0Caiu8PyO4UsW6ZUtwRWKrcRFmo9CXtsNTyd7IJG8ec3ky+Is4aT3GA9MRRpriT36ykAtNP8VdZmhohAFBL1H8XmY7exS3JzUb2bldn8P941eoUDhBKSfoM8z/GbR9TBp6IDZ3NkbqGhGcnoNAT6rjc1Fm3lqy5qG84BR0TpT1DvM+qsk86jQrlemj/ew833qkNXyFHlKFJZPlRWHSXl6/J2mph2+4A9qwECLr3hSD80Yw/zZpP8i5JEjI4D3dyHRP8L8Z08X6o938cimKSqiO74BllUTh5QvPSsZmMi66+6ZAvWMBvKQx233nLYV2abs6Mho+ev1blD7H0pp21+1OfOKTMDD3HDpz2dcqCKV7RjzLimoZ8FBU3+GCwpe04NMr34F3ra2rkwB7wrpozppL/YaFyuLO78ocuNH9ICWRFF6WFDlyQbh0zICVzGKrbbOVLkgvbGlQzbpHdxZjbPcnlCtiuMV4a05WCBey7NMsV5Ca+r6qD5i9tcwOBqYuoENEDEbNXFdMfWQJnR+iWBN/LFtdA5k8T5UomV9xXqhv7p0s4RQgJMpdh3h0Is1Xi1R3DTz0OoJuBABFKMpOG2CZl5Y6HCFkzg1wzLTWoArlAkriURkHTKwX0VUQTYkOsuMkgynMGMlc22tR0XynsYOQKi3z5s7FvDsdcnziKNCbGwW/DEq/5PQgnGNXMLPB9trRBF76a+JQ+zjFjDVTmkPO3mE0y4uSzjhDdQEk7+W5D6ppNWtZIuPsmNedlYTFsylyOcF2rD3cg388VWzDnNMzSVFaRWtUgi/z8iOcOph5e45TQN2ftHPXy44uPzeDDi7GsqMhzgl/ob1zk6ctEJtM4PNO9oUxliB9zrKij74QzRLnJS/R/RXwOvgBy0gOcdywrEfs12eje9FtFLL0wYaOz5CtPYwEsibkWup5LWW7d2OM8447ywJl7Kji/CgCnn4nX4hWtwSnwEYBY4nrufiyXoyXcbHbysWuPWFyX9pF53HhW/zCC4oItist85LLcHAwBl/s6JhWUkjt2NItUuP9FFC0gTpiLtXqObhIYVtsKBzFo3/+JbJ27cJM+Qd9PEdlYSF+vH49IilQHkaR4Sj+7UfmoKNWRcHSJ1+poBOg/bGJCluoY2lHU7uxj4iYuifHG90EG0V+JqWOq+lAYE8rJy8zhNpneQTvpuaygQE99hJs2b2/nQBWv8JAqqKobivjLPMmbEGxkFazZ5d4bj9NCLQciwN9xjG/9xOChGRFsf+LW6c520WO6UGDg4FVl+HH18zjIjee2mUBdue1AeqMlZGFNW41z/jz2WYxJp+JOK3pvg68/jrqCSBK2ZxGxNyZZLDGAmNZ0nT2Y49N2/pZ7X1/8EEVPvq4liHq1Lgggvm/vW8Fkyu2bEZXvivZxjBWRqej5yk70MoYudeuZfnQkD/27b+SzM0g3PmjQsUVStpnfVuxre0wullWJm04lElSiiybeqOuO3Wi5Mhy0nIjE/THFE3OCPXDlqJOcOqcbMcKeJETPPDYqzR62K0ALVJmlE3nod/+ZTP7UjZ+sG45PvxiF/7+xGvKnHTLNRuw/lSjI4/aftWHm3HX7x9VrKfXLC3EXRsv4/xwGL/8r8eYTCZwKPMvGTbPPfhrlrAaS6qPZ5sDo1Prd92Kkfddn9Ll850AXlx+VP9+Gx5r4CU7PYDlQhSKZOBmr8VQh+HOH82Z1K9w9hQFuGigJbK4QBSVaqjyP2QR9IQONcF377sYooe9s+a//HS0hhdAx0m2njW/HVZuATk5/Zg78hWGSstZW2wMbGUSG+PgbMxscQJu8WfGeFyxrJO1iSzy/MlKCRJKLreLXrIMV/1hI6JibG2C5V7kTxepjUKllPpoYcP0UVAzgPa2frtf4+TcjRhtMzxJmR5joKDv5yKCQoAhqenwJb1ZShBiC5YA7RIi2TZdeAwOrr4AzSOkVhL57yTrpdKM9eLtMYZFre/ArbWJJJoxuKcGK6CLtKFTzsLu7CUIChO9DWG8GI/vw/uT7HkIgZhFFH68ibXoIdSamWmmxtl7+q5+L2UXDz65lw4N0mftn/WUFVy0kAuwlbRlU1bvaAMvEjjf9eNCJCXQ9sqqGVgfvnVnE7Z80US9mWEEj/fCv5h93iS+7MID846Ow+CCc6m1YjnxCmU8JcGHpRVGXQFXLDtXd+1A7L5tNhoJIjwo5Wz6kHC8mLYBTVz7xkf74Acb0jFyUR5qfByLVJpu41qCL4tIu1XrX+9/dRjvftNqc51eZLLE7HkRugYjW0zAhMLsENKGKVCbSTeTtm8xyu/KvI0bchFesBJ9KuWXkQUFWHDTTUcUFDt6La1tWjz41AF0aKYivS5NP2oadSrsgnGcu46LUDqyhA5QFFzXBs+2ehjImJA/1loVBi6gdSx3HJxwcjC/DkW0ksCKAC9SFiktKswb7WYLJnOhXet7COewFhjPTL99l+/JXTxYyhLuE4fonBT40Z0kIGuQwuAUMvcUNswUiHm0gJdfUWiwcXMPXXOmAbps2IDks85y+AXJouyFLdX4qtj148oBr1ibgJXMgoumzt827eWYr57FNZDNqOWCQRYRroypCvNFyo6qnM95phu74KxUnLoqCZ8RdHmLLkZjKoymm0bIhKroJuBSr7i9OLMyl2P7ug0h4sDr6G9pQ0JCKxd34hxlVup22iko6b8acwhCnRxvgNdLz8KLC1A9rWW287sbbDVmucf5vXmEhCj9snYgGJq8c10CfWTfWdSJ++G1BVz4TY0vBmb/d7MUY4DOZvZaHEuI4skG2EtdmP4GS7arxTjB999FJlkdv0394vMwEJrmkAHkbDgOD/ZEHLXfqqgj4gBDdXYY5ffyGgsooDPPlwLe277E419/jZwDB44MeJkzBz+kPog00cNy51wfmp2NKIoNxxKU8bXj9NTUosWmF0vJBLISA5u4kx4yrQ5Y6RQJg0/mPt2Es9Epc8NY2uMY+E9PCcRNV8xSylm37W4i6NLJuWtk0vZ+kImufQc6bDSDUpICOb+y9Ful7ytiwcJ24bte4VcGfTFFX/lsvVlSJK5LJq080aIRcHpk9cXwTMrCRetScd4pSU7ZHocokN9DRyJrsb+0225DOIEtV757tQ4hScLtDz2ENgKYCttFRdtIRKIX0qErdfXqI2Zx9vUN4Y9/+hZdVlbp1107G4sXJ85Is8Z0X/XNb6Om5U0+Iscgd78uFvnp/0HB+ARl18rD3Xjui2p4F9ahh46mpjZE5pSODBYTRNTLkqNGs5Ij6QYpsX4oJAPqF+MGPP9xAw7S0cpU3nYsgReXPu7/RzfKR8VxubMS5ByX87py0hPAiytP6d90m2MJvGSmBtBilrouDjR3ZcL6xU35SHfB/UHtEQsTpuZwL0pIDywq0UDf0QL/vW9joMN59t9/1jy0ZJ6KBtbUi4q5nqCEWlt2Zj/CaAPot72YNrfdZqDLxNYjHuit9yUNdhw+ZM2EEoQQ4quYIomdYR7dKOIKZiP/6qsRTFs/RxOqIrZJzmRtHa0wOXnWFx1kxoUYPct4YoY6Cb60YljTBe/gEIRHxsLQ1gH/hCSEBSdiTGufg21w90LZ6nPREJKKbh5PHI66JvRMZrvXIqiMehis+/Uj00Uj3opsniGhKL10I5rGvZVa13AuzszdZ2SbBGYkC+lAE8PswKzsMGSlByMpPljJjst9OmIyfF8/mRaW7Pzz2f1ooa2go3YZwYPdZFzUNAwqi/6jDbxccV46xTAtAxfp7zv2NuPTr5sV+2bzFjTeh4Ditwm+tLn8aL0jo6FfdD56RwOUmvUUCnb2sX90dlN42XGF3uQ50ocasWjfuxhTqQEQ0WlZ7H++8AKKNIcjN4OLbQY+t/90AYLiQvBP1sofnuhvzi76ZpY85FsJfJr2eeG9SnxZZGsNHKmhhsvujzE8wXyTev4CagV4+7cjID0a2sopG8PxMWYoUYCglFSW83ABRDta67bw9ttZ0sdSCSdlN87uxfr3XdRFeGhzMZl8loy1EY4FwnppbrNcuORmBCpi0POowSRUaLkccYAJ6W9ByGA7fDvq4NbbQxBmCD5kIw0SUBXdHzU3JLkWAVZ8OXiJGG8kM4NtfP/WTcAZGQeMXiPGFhrmhuAEgi5kXbjSwgxkznkaM+WK5gAXcZ7RIQigDalfBgGxrD7W9uvw67s/wE9+XonYuJkJQbe2jOEvd83F9VFL4DahheXK9TliuljvL+DLa5/W4tO9GqWMztV2wepYDPb04yPau9t7HxkpQSy7jWe5RpVqKZ3auWSxmp7gzVIl5yxP0/5nrE/BzoVx6FUpD43t0iGK2ezSir5pWSEnde+Gjq5iwggNCBxgGUczkxTGICAgMQZzfjoHkcE3IjZqvjI/DBDkcGeJRCXLgGopGm6iXY2TUeFO8EU0lpKvuhkvf9TDUkrX7MnlXDkslf3htflkmU4By90EXYoffRSjTGLYa/lc+HoT8Nn7xBMQZoJ1G+aYVcfyBbF15rTMckWyNE69DFq/eIdW76rvjAmM1Hg6r3Ah30IB3SNtCTF+OHNJEPTfvAPtBMD0OJ2djibwYn6N8v2KuL+A0pEcF6P5tzdti83Hx06Cx48/f5Cl4paMrAEmjw7SpUkNDJbu6MsyyBTqisUSfDQBwmrPR/Rj5J3IiOJNkfExCnZb61UJu6yJttDmZWASyyycG0Vg0JbppegYlXYQ/DEgL6AdYRUfcQ4xjsHhHB+7FEYiHS7FcUk0yvKXoS1xOVKS6PzGPv3TyzKRmxbmMP7RUeS94sEHMW7VFwPJ9Mr8yU+cAjeO+ko/dV7eJ3OmXb4nq+YTGopoAi8enHcXU+MlgizOI43TXnihGNvpaqY3A/YTydb95V1LZqxZ09ahw9+fPIDZsz7jGFLBMdYy3jHdlmhDZbNcLDp8GROd12B3mQYvEDCRLhGS2c15pYvee8ZvS/K/+mhf6DimSIpBP0xgtzWPJUceynvMTgpgSbKRMZPO/nFepxZPflRPxrhxgD8BvBzpCKW+/yx6sR6PRgn443Fal855Anhx6TH9e250rICXGNolixUqpUcctqvOT6fwWOJRWchouVD6+L//goaSamajhpRg0Y67HvzIFmlgqcXBNjr2OKFOBwQCCzZ0Uky3BRGfF6Gvvt7CqUhucFxLl5AOL6rFc0KeqFH2ZlAVSTZPOEspRMciJjkG8667GvHMHjmb6CpJFa187TUlWyG1z33kO/ZptBgp2wd3YcDMnoPRmnolvRWzYAXcW+0HkuYvoDlvEcpzV6Oyg1oCBAx83EexrOM99LcyOE6gFTZFxBTdEv5/8LQfYHcGS0MmFhXBZLf4c4FmCqqSugeQS5vFfroCTE6CnNikHGkWyzpyM8OYhQ1CCO9fqI3O7vn79AXtLGrFq+8ccij2J9d78dkp+HJ7Exe1hqMKvCyZF4mrL8qdDL4EcNm6q4mASxNa6f5gT0cgYKwXwSXvTmaNXXmm3hFRiN1wBTr1vmjnwsYw6rqQY8DYAE4vewsetGK2btJvu7oG0VC4HIdzlrOvebDkiOyqhdG47rq5Sp/oYPD9CNNJrSplDmrXfhvBl5wJvQnz3wtg+cQbFQy6LL8DD7KSEva/ir66w5ObR4bRGjK5lhnbNOgJeAx3G0U3x0czyFiLMeoXMDDtLaUbi1UT+81ld955VFkvWpaLPcySk5oGdeC0p8+YWTfaSjPITA+kbSttnJm2S6LDUXLClGuT6XJFbDdouAcpLKXyJlg7Wl/LMkKKV3b1Y4T0Y7UWSVZbgK8bg7vGDQAAIABJREFUGjk2mGsXmbaV8SyMmg4iqCktONgNoUnsi7QPdqWFjLKszD3E7lg/LrUWXAwEkqb/5/c/RFjfHiRRaH0mrYFBe2t3Jn62eLHLu0cJ04XubdMF1d4m42oLS01cYYbJxYglutfwEKJY9qamgSHWuXf/ZA4FdUMVrYwnXqpwmU0hurIZSSw7clFwd2hpFDoK49iHROzaCHKJ210zmQpzv6yl09b0yqmCR7sQsOd1DPZOMW+Sk8nW9OyBD5lmS+88FakLeJ5RslnGr1O+o1EuQLsefhi7v/0WIxpLt6lxLkLjWfI1/7rr0NKiw6ani1ly7DqwlMzF38ab5iI0dAp8OfTee2j88ENVRzi5f28CPvPuuQcGLoh3sRxjqL3dOD5w0G1nWd/hJrJcrJhj42QMea6l/oxnlMsgVUyEpyKSXUXw4Ujdj+R7P3ddMvIjB1D+4otMQNGtbaIdS+DF/OMyMWFEoyQmPx+RfHfeE/bjvWQtbXqxBJW0cZYmpgPlfI6OxOwTCLqcvSwKB6vUx0XRwRtgjNnBOERAMGHI+NMpYDYTQOKaZGojnF9E48X6ncWR2ZCRqm573Eoto+rDWkT46pHb9D4FcY0gvJQ9yWfiQfavlnGexJfuMYmozjoHSUmhLME2MqzC+V5/dV2uohHiqFUQ3NMKOGLVAdIJiIRl0qlyhgC/CO1+9rvfoWPvXrpfTulayfGE7eIfxkmQzZcA45Jf/hJBdPU6klZPsfuHH9lN5rclYH/H7QuQk+M42ah23n5qaT20eT+qmVzw9DDgjNM+Yex5mGGpbUIgieV5qXz28n0Wly/EKx/PplTA1FHjVjVhyF/LSMA4T40RUBkm+NI7Md5pNRkswY1FbHII7c0ttaFmcdv55W14Y2cn+qhvdwJ4OZJeYn/fHLhW2nm0z16B9KN9yKN2vBPAy1F7lMf2QFLDd/FN92HHe49wAvJFfVMbfvWHTehlyc3Cubm4946rbQbyYwG8+DHrEB7ugSYnui6raK132YbsI6Y6KhM56+J3MJOlmVgsCWukh5O9/OnuIV2a6IECwnDN4Bkdhcr881DWRaDExUxlUsYI4pa1MqDUInMXLV8rDmFYbxzdpSbZk2qRhkZfdBHIkUWx6DGEhfkp5UfSBJWXQEFKc3J/cCaWXXkBIiLVFyFaBnrf/ulPUy5GE92mh+r0Qn/2j01ACCm6+vomuIdEIiImE4Zu1wPkgbBoHFh2Nj5r8UJUVxmCa76BgTRnraSOePFManNVFY6Si36M5vGpAEZiAAGSRNwriTTrnH0UQNM5rveX25fFYW5mqALCpFMhXpT9Jcj/vgMxr75dia17Wh0KBCbQhSc3IwDb9nbi0/cfxIEGitUdoV7ShZf9Anf8qECpWRdAYX9JG97/jFR/MlzsAYnmI4vfSDczdFtUs7XWI1CwiKdyxTjqE4KRJedDQyes6bTTOr5B+P6dSnbbuklQPBaXgD0rLmFwbPwuJNb52R0LkJUVPbl5C8HFhyjAa2JaOTq/hEW30XUrnVlVm/PRQvvBl8tQTVFK8xbRXQHPPVtYomf8eUxkJyLC2hEcQHeg/OXoPbiV188yJloLeojQE5t/fDwBTwOGJxZd5seby3KjhHnzZhwUmx9LtAgefbaEgnr2v18pa2xj5u0QywMzkwNwuIXUZ7P4c35BOBkrtuKSERREdqcDUkcv3aQ4HgX3NkDHLHhgXxt8NU2KSO8w/4xPIAbxBMtFlFszAVqrvQcZv0RoN5DivpGpfL8ugi5BZFSFu6svctTO8wCz9KtZHmFcHky/CffpawLct0+URzg7QiwdasS9aKbtkx1NeOPrFpNBj93DyCKwhI4vugEDsuNodR5FpqSVO5qUAJ22OnlyfNxPRuFTr5arulapnUh0KzKSfAi+ONZ88eDio3hpPHop0pxIcWsZy5oIbrR1DCC1VYtECpFaL1YdPR8Z6+MOfwhduaWlbUzMIOLj2pB6ch4Kr0nhfRmBv3H9L8myMpYG7KSbS/P778PNeoBjdn45NVei6MAirY06b48+UURgyElGx+xCY+nKtZGlzNHRRqaVlGIU0Xq3t4SCjnYQ7Jjly5F1GVksnG93M67oae3E4UZaY7Os00YwY+Jc4yyj8zrjKnSPh6kCl6ZL8icjNo3MwqZWxidO5k9X+mNOehAuWp+GgQM7UEdQaYyxkHn7roAX83MKE0ZEXCP4DUZRzDyGfw9Sa+rJlw9Sp68XDVKm1axefiTHkfHq5LmhFOF2QxLdnSpqjO9bwSFIM+rn3NLYrEOPlkzlifJI0/llfJpFtpP/xCK6kWXp8u7Mu5YcZ25+JMcx23FzlOPhfjoZGfitLtZ/i8HqMtpF0+GR80UESzB1/F4FwNBLjEkB6M7Fl0NHfb2sNCPbxdSWz4nAFfyWPR0wOsVFq5rg3pjWcvwPJniV9sMfzhjg3//yy2j4/HMM8rhdtJgeFftoNnH1iyIgZn6d4fz3oo0bZ3wu0/0+/PBOlFJ/UcooTW3B/BgmWQqmdWx5/gLS7S2ZYrD6+elw1tovyX6rkw4wefxIGnfkUMRdysGq+Y7bWR5dUnEeapoyJhnsnsF6xC9v5nc5NWaM8X0OcezVMjCX9xPtvhwDfvxuVYCuNewr49/U4VsCgF++fGzspF35zv9f3iYLU4mx7/I+q5DyXZ5uWuc6AbxM63Edn42l9vpHd93PwKmT/u2/VYCX6+/4E35KC7HCWRn42X0PKVZlS+fPsrjAYwG8ZKb6KeUXjiwQ0xIDcOt1+RY12Efy5HbTsaB161abQyiCt/zTTQp9V88g2ka8UDn7fFRoLV1LHJ1bBvVeZimXnU7HjrRuJVuTXFyLgH1lGKFVpiw6x8gScSNTYKCO9qxExsOYPfaUNJRKExDGPzkFqRsuRPacTBTkRihCgDKZy7XuYhaknWJ45k2ApXbSsd05SaSuXKnQUw0EYjKyshCkpRgw7fIEZBIhOFfq8CWCKV18GhrrDqBrtIeBg/FaJTghwxe6087FzuS5sHLzJC2XYnQMXLOKyXRxQWTR+vYloMoiLTQ3g0BMahAzFcZgRf7MNLtzJP3G2b5/e3wPdXd0DrOYc1lKph8ZxFOb7kdx/ZEDL/96+WECVGEETnsVMcviMjp7ONeztLgV31Edwms+wUCtup5BEB2FBNQRmvekoGpgEMaXn48uOLaGN50oZ7AOc4s+wJjOcoEnFO4IOnhJydL2FZfj0OCUCGMutRdupci0dTBaQyThMXa2PjvfjPnNBfAfP6XmSyKZL9atgwyWB18uR2vXFDIhdflJJf9CL91KvDzHuMisYl8bVspr4mZnYZi6TnomtT3cLZl3wnrRUnNCnpPF+QnKrKDQrimb66wP2fu9uD09yQCzqNS2RMp6Hy21nEYMLBFkdtx6MRwZ4YOc9FCLYFqEdP0pjttCwMu8aVgaWEMtKSk/ihvtRNxYF4L7mhHDvzUU1vamFbw0KW9UG0eEWp9AwCA+kxbVPq51yoBRP0S6R0zr+/4ugZc4LrDjqe1xpOPPjgNteO6jRlLc7aP54rDS0kYR4omXkkbwIy/Ob9JJLYvuW7ffWGjzfUh54QtvHXIo+m3+npmQRzbn4VI7gruyPuxZFY8SRex9nEw0A2MGWYTQvp1z2ertDRiYBrNEzh01yLFm94cYYVJAmjCkUpKCFIto+B3GynvnISDSjK0yuoqsl/PQQ8bLjj/+EcOc89ytQINklq7kMPvvt3Dh5Ptpb+/HE0/vQ50dlxO17y2cFuq33jwX8fEhyq91BFSL/vY3jFhZ75rvO4saGBHU2tjy8pfY/8yz0LY7/07HvHzhe/b16BjyU8V0UlhWxEgBDbQkP1L3I9FZO+skagbNC0f5v15FhzAnVA56PIAX8+coTBhPgjDRBBOC0jLwyBeDeP+bLruOjrLvslnB8CGLSNwXRXA3PdFfmQd7Gec08/vpI+DiKM6RMqXZOWGMVzyp7cIEEZmW5i0ynGNmVrhq8qeZoGNtPZOVgTXwK/uK4taeir6dL7VnJIE3aZLJZFv33LOwrTsehXkEv8lgs243n5+GwtxIh0mmMoKA/XTdss6qZHKOCZ2BmHsfNZK20q7aMOHgJUxwDcEXGd+i+D35keVi3TKoaZV99tlHlATds6cZL9GcoM/McEDO89v7liMmRl1HR+1bff39Cnz0datNVw4L68Lak77g92N0KgwK9EB+ToTSRyrrtQQxjYzQUZYN7T1wNRrawydZiCGzOuGbTLWXiZJHZTt+P6Nky3gxwUUuJ7yH5qHbjjnEuZyrS+jmtvnhP+GA16mCYKlduvOfDWlwe94+PPDAA863/f9oC9YfHJe7rUHScTmvKyc9Aby48pSO8zYvv/WZkrl+5+OtePJ/72LQ44UzLr8Ln7z8F+XKtnxONLqiDndSbNC8HW3gJYdiurW0BhwesV+uIHRQ0XWJj7WdAGbyGA+wJKf+009tBCVNxxIwo4mLiiZmfkfXXYGqkQiCFMPUsWA5kokJY+fE4lMkzgpDFKb0J1v5tKv7ofPVIYD19JH1nQj6tgRaM6tntwEveGqFHu9cm8CTehW+q3+A/rAMgi/hyiQSqqtDybPP2jgv9FGZXkegJYG2tv6kZ49zMSh16Pm0O/X+gO4szGzIfUpGtVeAGC6cZJFlZPqoLwS0oe44pOtEeUQ8kf8pkMiTpSdVl96M2kFb4CiBlNI5NaybpWjhkS5UJLkgjIvZ2eGKNkwOwZhguj99n8qSujRDeOTpIgbK9rNz0nXmMMh7/pk/YltFwRExXi48qRb33PN7bNvTxswNrYMdLOKcfSs+rGuOrPsM/ZVTJTMCNnjQfUqy7GpW5h6+dBdZeT463GMdHj4IQzi95HW4NRuDIGkCuAh1XlyfukjJ3x63GDsD8yczYPK+N1IsuIClJGqtlCUwmxgf610AX0gsxk9JHY5RCZTqmOF8hFam5tnksJ4q+OzdQucvOoAFSWmR8ZsQu+TYBSejt3iA/c5S6NeXekzjvBb9hNin+TXPpl5TKrPiM/0GJKv3zCsHsZ2uCa60zDR/RUi5hWVAahn3AgJaYu8q1yPlgFGk0R9uV9coqqS7R4dGHIyMz2B+diB6WMYYqmtGAgGYJEMrepo7MdA7QFFLS6EfHy4+cubSap7EKFfu3W/MB1FuXHgI2jyN9l0BLwl8j7FH8B6tb6msVoNN79TRlcW2/EpsvSvo0GOt6xLHLHohy4OkDO/XP52rlBipta0UDX35nWqXwRdFsyDVn6UaKoK7KQHYVxiDLrrHSGmROOnImj2cgOny7n4E7ulQ5kZXm6+bHuEU1B1oaVVYbXFkmSTGB01asWZcuACpp9QwY20O0nJhPXgP9j3+nMJUNVRVUSC+fZL14k5W2woCYn50IfP41a8U7RBT6+azFPClygFTzPrag+m0IsyX1FRjWUUjHY4O/etfGKO2mVrTjrijccmVOFBnIDhZB/+DH2Ow23lJ75hfEHzXX4d23RRbNDjQHQkxPjQaoHuhY+kwlx65lPKefUoygg1dKCMjqF9Fi8Z0oOMNvJjfUBfLgeq1HugMSEH1cCRa3GIp+m35raTH+yIj1l/p53qOP+1kYPVQwDWZY1pxufPnbzqfOGomxAjzm2WZVp9jPoGSsAktD/Prk/LYikNdmB2hQ0zl+7Rlpli5lF6zhVIAuUdLsHnis/CZvRBdGWtQx9Lf+NipUj3z40lp0q9vyEVkmP2SSQ2ZfbW0gB63sjoPZZlk6jXXTFvrpYjuXU1ku5iaJA40tGgfI+slyoE+2dxbbkEChZJdGdftddI///lr6hPK854aO9atTcEGMtsdMX9Mx/t6Rz1e4vhpzpoxP1difBNWLvuSQFgPgTUj06WCoIu1BfmgPoCaj9ejqXMCDGPME7+6EYM+tC2XkiPGIgkU2g0iy6+G1zrCQctzJJNl9WSO2Yk/VjT24sGf3IHtY6ecAF5cGqVc3ygVtqXqru898y3r6BH5fW0ngJfv65uZuK4uBgO//K9/4rE//xyXb/y9ArwMUAjsprv+QvbL75StdhaV440PvqZN2Y0Wd3M0gZd4Ea2iY05fv+OA7cdX5aBwtuOFnauP/BABl8o337Sh18r+AkT0sFa0vmOQ9bjj8Dv9QjSH5SqHnmLCDBGg0Ct/ZJErYnmmJqCLMF3ECtfUmLRB4Zk9FKjlooQTsg+fc8ruQxioPMRFCoUsWWbl1RcIfY+nyxkt33kr0Je8lAHnCGJLXoMfUfFwaimYWzYL28WPdblxzMCNTwSKyeecg3RqEowwk2/gZOtJcGby2ieYPv0MqsVKtpc6LML6mbS9JsDRMNqBHu4z5OOHpuQMdHmytIUHGFx/EUozCxVhOfOAJYmLCl+WvPTzecyjKJ3vhPORq+/K2XYy36VQryKPNGFhxSTTbUAyVse7LOlAWSeef72cz8+x2mzprsfwbVn+EQEv6+aXI3veDdMWabT3bBVnn8YvMVZdzGDFTWEp2RP0NB1DMpReq85Hm4exDECtrWWJUWgRHRnYJFAT6+EEOgGE0OlKwL9tnT7Ykk0XkglnCtkulQynn9+5xCHteDfBl+dILx82o2zbu4YYfqwb2WMjJ3QEzLcrKuvA5ndqJ4VJOYkh7dBbXEC9x/5kydCJy1lG/ZkUajRN6SKYjhXC703L78uavu/LmvgV1IHwEzR2mk0C4ZfeLKc2kFE7wlnLpFVwA8vMWmi7WllDME5lQRxEAEnAW8n0JqYGorbNfl/VS/aOfXqAYHIOF+ZtZPwIZd/U0un0keGloU19DUK0rSxLasYIRXolcE/LITvIiwK8FNpVyigdaBD4sHwrmuwpD2r7TLd9F8BL0g03IGYaGjCu3sMhWoI/wcWDxuyZyoLuAPukzg5LMCLIE/9xdSbOPDnTYXb8qx2NeO39mmmAL0bmy0Ez5ouUwdasiMUBipCKTbMsXkwtiGzGU/Y1I4BAvJ4LX1dbIgV1+4u+IZDppVjEB3F+MS3gglgmtPSOjbSRf4jCyVNArRy7cTuNRJ8tUpxdxihobeAi1GOC9ZJOlkum2ErzmsYuvxzeZHoKKG9qvb2DePKZYpSzdMXVFsjru/Vmgi8pRvCl+Kmn0LmTAttmE52eOm0NzVpFjHokIQf6ZRu48B+l5hDB25JP6ZZoX8TedB1jwZHwOeNqxgkeZC/6KeXOHRTwP9IWTXbbBWemIJ/W7NUff4w6Jl3ku3TUvi/Ai5QaHTjUrThQSp/Tk5kw6hOIodgstFBbq9UjRhHlX5IVhFaOdZ1kL3YRIBZHGYnXBNjPTvNDuR3NF+tnIN1a9JSiyG4xF4oXAK5gli0LJSiAJfKhHtB16+gm+Tp0jVPxlC/LwwQMMB3Hk6L0Iysvx4CBiaP8MOxzUNY3iyy2Wy7KdCgyW0r21aA46VkxlrI4x4QkuZ6V76O2y9Y//9mmTH2EFy5saUcjsYgkLyXLJoyMzpm2Tz+txnvvV1vM+xLD/Z/fL6cmmHBV7bcyGmQ8ShFmAdwctTmzK3H+2QcplKtDVYPOLhu4uzcJe0sv5ThsDOq9QgcRt5RJBQwijSzDhGgjGNbI8aWRpzRwLvPRL0GvJ0uO7FxA2S23YpcHS9QSZ1aioms8jBv8evE3vu8TbeoJJMHoZPddtwYcnXXosbjuE8DLsXiqR/GYv/7jJlxx/ml0lUnFpbf8TgFexA1DSo1MwMuOojK8teUb/PfdxwZ4OeWsnzDj6sHFgePgYv0pCTj7tPSjou/RROGwYlryiRuPdRtipqSBmZJ2WkRLTBWwah1aCG6okT9kUhcxScmqdJMl0tlNcUnuI0yXAdbiSwsgLTEtiNREliulnTwCrxw6PYxPDc/JpfXMiFVQR0JLAIVuPh3kBDgusbe4ZJ+kdAQlxqJzm7FcStad/rQtlAWOP8tGhlsakX7yyZMOHWLnuPDeexEYaSwLGe3uxiDrej0YuLqr2NEY73FMAWE0BGMOsuSiqbREWVBKdmKUGenW5HRo0nKw86Jb0E2tCy8ubAcm9AdSDnXCi2UvQvGVFh3tR50Odaru0eraAhTkZYYoZRRp1IYxCUAej7Kkt8Q6liK6Ut9trx1tV6Oj8RzDgt0RH+WF/m1b0LNvr8uHdKfYrfea8xgM2wZ9eQM1KNj7ARE6PbOABFyoDxEaPMWAOkwnszcpNlits8zyXX/dLNpLJjvNqH3O477BxboEQs5aEvvoj0n5DlFhvny6vRFvkCVioobPCfgG/vtewbDO3K3IDZ1d2Vi0/lSM1B6yYc358fsa57c2ZAZqmq4pm7ogmbSena5W0RvvV5K94lqGJ5VMCFkADk4Eo2VVGgUkVtP6yaEj2fJl0TjU4nyBJ85dIjysITDWoQIoFs4KZ0lMP8dAPQJo85w03oZ1C7roonYIbh0aeFLkUHQj7WVHvcdYN48o6loZNXOm24418JJE/YSYRYume1kub99ILZJ/vnmIltzGd1FNV5Vmfhf2WggXg6cui8OPL0jn9zpVmqe2vZQdvfhWtaobjNr2SnknF/8iUjpEW11NnA/258ZgYCKTb77P7JJWdLNv5pJRERclrAPnwsnBhg5ElL6DKFbvRkX6W34PnMgWU4w6mkKhg8NbKHT2yaTGyyj1Mbb+mYu0ugguuI3sEIM48ZBh5kuB2+XU5/GZcKQaZ9LB7Te/gQ/ZL+ZNRDifICOxtMx18EW0Om4T8IXMlyGW7O4h7V9PxojMka0sY2qgdoiAA6ZmWHImtHH51CghyKspgXvpVxh25hrAnf1TMxB/wZXYXyGlqi53HdUNpVxy+YIobDg9DR6GIZRSQFeYEsJ8dda+L8BLCceubjMwUklskXk8SADYl4OJR2iYoj9Spg1HHe3D+1T0b2RGyKOjW9khYfg6vvMhAj0i6iubJZCBZdKvzWFMET0h2i3YsQAzKxbFEMwKxxMvlsONc5u2xHKuVNguBN+kuXMnzzPJaDKEYu3KOOoxJeHv3K/JgSvVRacm4OTFcXZLeTpZJnb4+ecxbuXAFkawMYWlkK6wReTaish+avryS5sHE8dvSRjSDZ99hjFzgTCrLYMSE7GEpX2+KhpqzvqZ/F6e+Z/+/A2amy1j8osvysFJJ6XYvX+x7v77k/sVN0VHTUpdrzw3Az5BH0M7/BUtvR1rPTW2zmW55Vr0TcRtUfldyF6iR0ikpZNVDddL4gU5hhB4DS1gyZFtGbNc17d3/QIHb7sDbnFxrjwOm23GW1rwk3/874lSI6snkwDbpNeMHvA0d2pijPJ9bSeAl+/rm+F1yWL6zCvuQniYMVirrmuiiGk8Xnj4NziDP//4pfuVn7/36XZU1TSyfvxCi7s5WoyXK667EzWk0Ur9sr0mVrIbr8lXyqCOtAl1chedEEbMFNvlmBI8NdNJpb5zcBIJ9y9chI6CMzAiXnJOmgmgOFjeQZFBWfCMIt7fHUEjBCxI8xe2gAfZi6tu4qTuZxREE5AkPNwPoS298KPrka6ZorcMKkfb/F225A2kaKVbey0MfuEYcmN9+EQ8JWvPIG09wtMzmEUMQDDBGCnViicIk3vppTaLvgGK64GZMA879OlBBmqlfEfVzOKLVaaUmwyPGMtOJJAZvfRaPH/KpWjh/BdChxMtmTIpFHd0p5uO6MeYt9mzIxQB4SOhpjp7H6bfS+ApWX0R6c1MDaY2TDDp7KSgf4duSY8+sx8HK3ssgnLz6/8+AS+B7LPJCX5oayebizXXbgQJE1q+hvaArb2k3XfAju130vlo8ZzK7oRiAGuLX0foQLciyBlKxyrz9y9sl/cC5+FLOgSZO+PE0ub0N79Z6XIA+e7AID7kYkxN7M76etNp73MzA7JAFUvcVz6sxhd7upRv9IxVb0H3UTFFNZlZnGj64VBmV5MQyCxfIct1xrtsA4Bg0rN1QtUesnRT8aFuwXKCnwFcJLratjAj+OZHDU4XDXK8xFhae/eP8M/U4koYbCUVXWQq2K46li0hSOTNmnXaSztrcZHe2F/ZhcrDHLNVVjCBFOUVIEfOpeeC8/IfEYgO66CIOPsEwdvgxk6kjNBxorZJYSqMku03PrGy8WAmO4ZMF293W80DZ9dl+v2xBF6OdnmRvXtqp4PUP9+qYZa/F2VV1AZTATqM84cb5nIsDaAYaAj1JG67KB2J1ERw1MTG/rk3DrkMvsj4GRY4is930Vr1klw0q3wrEWSrRr9aQUdAozhrQW4oLZ8dgy8hTEbM7fsc/r3iXGSbT0866STkX3yxMk6PjjHXbPgL+6cRJKn5bAhVr+3C+HAqS9GMzifj/MYM1LuYRVAsRXS/zPrmOOc7b5YeWQOdIuK9+bli7D9g6Yjk6PlJOd5PWfYozJd2nm/vo4+j6iAFOJmoMWe9mo5hOOcmdBmClHkypm0Hxsp3KywwtaY4ipE9IYwyfVQ23Fds4HGdAyT2rjeK+jTnn5XCPsLSMM7bJVygD6mUP9rb//sAvByq76Xulq0bn1F/b0gRmw4SVgljEU8u+t1DqZsWnYGm8Rh0jHHWMWMdy33OoqB9ebVlSYv1/UsSbYjxmzSJ/OI5B/mSfTG3IIoC/2Rmxftj5eJYGk/EKvPSBxybd7/JcrLtH2LUDCkTMWS9xEgTbn++K9ejI4TMaQ7Bv79zISIiAlBS1YVNbwoYqo4GyTf+y6uzkZpoX7y+hADgUHm55W3wm8i57z6WxDjPzPcyntt6//0YtQJv3HhvK379a4Ryjtv20EPoEj0ZBy2Z39gsfrOugj3Wh3rttVJ89XXjpLun/D4ywhf33ktnQxV26iBF8R96ej+qWKLkrJ2+OhZ9fA87y3tw+jKWDgdW8TU4RjXLDp2BmkbqSTJ2vuHsdNRHHaD7mI7uRpbfZBXBlw72FDdDDrUNk1VLjk4AL87e0Mx+H0dlwePR6FN7PE7r0jlPAC8uPabvx0YmxouI6956z99x7cVnYMEiRqWEAAAgAElEQVScbOW/r7vkTMwvyLK40KMBvKzJL0X+0h85zOqEMqN31y2FiAh3TDd05SnqKIi348EHMUj02Lz1MQCraxtAHydpU7zmmz0bPYvPxRAXA640CQSqq7toXTmAcAZPhbEEibjQaGYdbztprxIgCNWfRkLIvXgQutEhhJGV4u1lXOx4UwQz/MuD0JVVYFzjgWENnZOcxFyi9RI8pqGGCy3VGCF4RCdimADMKOcTH9r1BpIaiah0DHb1KgvIIGo55N3xM+QtyCPbwFhbbL74HeLEOvrqq/C0cmQR0KWcgWMbWS5t+/ZN6sgY+PMRBhY+kVEIysxHY1gMPl57Pmr8yTahlZ6GJRti1WjdRGh37tyYyTp+V57v0dpGMh9R1EaYw8x8BtkwmWlhSjAlz2G6DARXr0l0fh58ci/r9G1rxuUY3wfgRQQykykYJ3bqmp5RC4tbAfGSOrZCW7RddbGt9hzkefqu3oBW3wzl1xfpvkVue7lSCqf2nGv8YvGUz0qW6FkGQ5ddmoM1a9KmBdL9i+DL53QKcaXgYRb78A3M7PtZOUgIm+splvVotGUcB9/GIJ2BOt48DH2fcaLXdGewzMZYLpSxcj6iB7mAtFp5+dBZxZ3gyiBt5K1bOgUJc9evd6nPfU3B0hffrHEoKmk6fiwdhoZYEqRoCli1GlnEtFta0C6gwOb+2sFJdxpH30AM3Y5GWfMuriKlBF9EB0qtSbmfjAvLT+9HX2S7jVaULF7nZ0fAs6YT7lVtGK1sglsrHbWGA+BjECsIV96c+td3LIAXN46Tiddff0yZLtZ309quxU/+sAMHKYpsr4nbW3xs4OS3EUhdiI0XpFJQ1LGn0z4C4s+8VulQ5FyxQGY2uZkMJymlLbgyCx+RNaImHTWPGjJN31pSvu2BL8KiWbM8DrleDah//20bTTK5Vy9+MyvuvhuBdFIxtYHhN+Du9TX02nFs//MBDHWIiKY/WaK0l6aYqjQ/zk9LuND0srKWJsoPN5ZeeLP8yLrpucB+5rl92LO/y+VuJ+43P904h/bQ/di1mRbMxbvo/qKecR8PjcLw2qtBR3alX8c1f42Ryv0wWFmzBzBmIHzEclxq5pjm/TTqfi04g5pT0wNfBMdaRSbG+tNSKfDqg7qvv0bVG29glEDndNrxBl7aqPdVTetoc8dkYbvIOxNgREoffcluHeXfAnCYN2HCuDEeGYzORBPioDH4T4IwWdS9quN3paaDJsLlAuhYOxmtXhSNi87J4lwQjayMsEkGhjCn/nr/+9B/+grnBkuHIXO2i3dGHnQFZyuaIqevTjAykCbK314mK/aLvV12NfViWSb2i6tz+S4ttcRM99tGc4hGxm3jVu83gqzKpAsucAqE2GO7xJM1U8hSPbnOfsbO2//xDww6Ae4KaN+exDLMmcRS7bTifuCv26HRWH5LN99UiMLCWItjStntUxTk3bnfOWhakEvg09d3ciz1pV7L+lVbJpyOHH8RbS3X4vQlK8kgD6BzYzd2DO/BsI/tt15GtrjGzRPeg0vR68XzWbFuTwAv0xl5XN82Gs6Fy10/mutbts/YN9H1c8x0yxPAy0yf3HHYzxx4qT7cjLt+/ygnt2GsWVqIuzZeZnNFt912G554pYNZW+eIutrt9Pe1IjNlBEtPvtXh3d5542xkZ7jmluLoQCPMiO0g06WnomJys2Fm2Rs5ubfS6nHCGVX5nU9CMvpPugy6cXXaoPV5JEitqdGgiyVK6eGeSCDIoafOiTRZ6FN6AgM8Vxfpq5reEaStoTPIKg7eKgnmiL21GP12H0bokjakdcy0EdvX/vJiCwqoe3AYxsIT4KtrR0BaLnpbeiYv1zM9D+2c/GVRGUt757n54ZiVGY7kxJDJIMBA0GWIpUeerBt2Y8QzwAmuTNwrmOlsLC9jxkyIlVNNgp/oZauYLRlmSMTt6HBTv/IchLuF4qNPGtFBlxihBFuvpeJpFZ2WZumochy6PYEvZoaYoZc/mamhFHYMVJ6FAAdHk5EjVquPUtSxud3SslPu+XgCL2J3mZ7sz34pekUG+y5IfIFJmh3QFW1ziaZuepfxZ56DtfmxSNm6BZ4qpWyy3ShBj2cT12PvYcv+HkrB3XvvXTFtBzMJwV+gltJWO7Rf6342j8yXaymo6GUFvgwwo7bz4F9ZumRk+3R/MIhucSQb9qdDRtrks/JhWVEy3aSiDBobSrTCeiHwIuwO8+bJQHA5F4PBFOJ11LbtbsRzr1fbFQ0031csMoX03EngTK2JEGox9UJMZYBz54SjrHFIsVUVYHZBQYRd/aVwinx6cWHfRqFxaXUNvUoJjKrQMrO09/w+FIdGa6iVpc4EyKSFaky0sbzEw+CBOY1x8DysQT8FxwcoBm7g4nlcNDsc0NvV7vFYAC+pt96KCDpVHc3xwNlY98pb5fhqZytqySKpbbVlSISS6SgikdYLHG/241sJvmSxPzq63uKDbbTorVDNtPdph1BPi9U+shaFbRPIjH//5XkYpw5TO9kH5i2OehqBb1ZRC8w2ezxHmC98x1JqI+uQPJYhnbc+A+F+Y9guWXoVbSQ5dh4Xe+mrV1tcv2G0BfrxB1H9Xiv1Sch2mUAnxkfzqAXEe2U/mstFX+hbb8GLbizWbZzlfd52yvtksb2Z4EsRF3GuOPuxmhLNmkH409UkmAzBzNr3oatSd4GT6xibvRTanFVG+2+ONYnNtOstL2WCxMBFsbBcPOlOxbFXLQGfvRBjc05RLZ9R60MpCf648Kx0JaFgoIZLOXXsmr76ysb5xln/k98/vn07EpiMsS/v6vgoIs3cQnG7G2agh9TPsfcgBaWHJhh6o4xDJIExRB0d0UwRrRcvlu7EcswTDRgNYzhzzaHJK2O/8w30V2IifVQGGt3i0K33otW0L62iZeyzHCulxGiATl3SxP0pkqyhWGoQZhNsuezcLKxYnGjxzb3/QQn20F1IxnjzFsBEhly7gEYeIdT+OPlK9AzRpYnx4O/uXGCRSJTr/+tzJaijTbi9tmZ+BC5eZ99iupj6LMNSbmfe+E3k/u53CHQwx3TT9nz7//6vDSgnbJeVZLuEmOm2tLBEbT/FfE2uR/audRn3i0hOdqWL2WzzJBNUe4vaLfTIcmlAsHHjfAutmw8+q8ZbHzc6BUuT6AY27OOLtonSTdMJo8JbcNqiT8h5sa+XFhnqheykaJbg386+kKCMRwdHK1A7Xg+Dp+XHamB/PEjmSx8ZeN5DhTYuRyeAlxl1B6c7RcJ10WynB5vGBp1wna08jcMelU1PAC9H5TF+Pw+iMF5eiTkiQdA5CUVYesqP7d7gRetTccqKpBmh5+YHFWBk95NPok3E8NgkuGph4NRM55khq6ytV0QkhtddjV4318MNAV3c+oeQFsAaXk7a9pTVFRCGi5KltOPsy6hHk1uHMjFbgxKBDV3w+3AftPu1XOSpPx7/QB94ddSQzWIbZHr6eCF6/gKyB9yYhZmiYbqfeSXFwPjOzJoAD3HUXSnMC2M5ToRSiiPB/ABdG4YYsFWQPTDICad/WI+2vUUYs4oOvSkWF5iWh2Gt8TzhpJ37MAjSnnUu9Hn5+HZ7h0Jr76DmQyvZPxI8yUJPWkFBJEVVj9zl6Gh9IbL4DOPiIoelbZK1T08JYabDfxKIOdLzFB1oJ3OhgosUy2DveAAvXJ8hjYCLuFh19Yg7iWt3l9BbhME9FN114lMtQau4FEUFuiGFmeY8YVeZpy7NTle14mxs2uujAHTmbcM5GTjzzKwZLXjlm9/Eb7LIjs2j9d2uoc30hWSfmYtw6kfoZmB4AGV1LUom2kAjodaXD6PtMLNffRSmMCNmxBTOZqa9CSkRRlFnU/MkS8AnOhr9BBOsWwoXgrMuvNBu/fqe/c3Y/EqVS4LJ4vIV4O+Glk7HL1IYDIebtJidG4wqCuma26XGchwQFpj1Yj7Yzw0hdK1pMDu2lKqWlHdyQWh7vjPPIXtqdT+CwzxZptqrCLFaNxkLFxRSaJvMpMWj8xDrPTUuKXblFHvU8pn10zJYRxr9SA8BZAFinNAAjzbwkkLHjihRRv8OW1FxG57+F0ERAhZSatCk0+NQ8xT4IguAefnGEiO15sVn+6MNySjIjHT47ewn+PLUK5XKeaTJoraRzl4dXSzbMaO2RF2cgdJYAcmNbEHRDpJGzBb5n9ag+YD9rGNBXihd98Kwdk3yZGmGkmEXMECF2RSSno5l1HZRK1dob9yEXX99BgatWZab5SRU9FIshxfedBMMH36IcZbMuluVzI6zvM/tP/+TGg/8blWaiBg//dx+7NnXabe0SwgK/dSAK6vuU8SO3fmcZ1PfI8mnFzEl72GgayrJYX0Kw9rLofGJNz7X0REkE3wZry9jmd2Y0cnKEclr/mkwpM5zqBMm8/iGtUk4eUWyMp5087sRPRf5hmbS3AkMa7KysNN6MT/Ng62h0HEOmX9ddJ8SUNWZoK8cXuKzUjqoia6LvBcBJiRuEJ098/JGcZchjqV0IwPnlm5JoDlgy8l340MmjCEiGUNkAnvGpqCqeVxJhkmTcnAN40I/lpbERVEjj0CzxC5hZGlKckr237AuGaefbNQc0eqG8PgvHkDbhL6e+aMxZ7v4rb8GLaPG5OEZa4TtYqtVWE7x88deJwuNZg722k3npWJuXpRqPNxKfZYmsppMBgqmY0SdcQYSaaZgPq+ZH38PnTBb6NJl3ZJYNlSgUpJezpL0Gn5jjt6jP+e7pXfdBX8735qjLlTGxMBTm/fZMF/v/o9FSE42As1797fgCboP2snjTB4+iNqRw5z/9aPqzng5qaWYn7uDLD7L8UtA4nj2rTS6qykJuPFgMtpuhZ+vcY76cvhb1ZKjAfa9ciZYh8dmU8cx0aLk6ATwMs2Bw8XNw6DivOfivkeyWfeM4egjOatr+54AXlx7Tv+WWx1r4GU+2Rg3XJrnlCbpysMrfftt1FLFX4L2TmY0Gqnj0k+qqnUM7+ZPeur666Hxcr1+T9vZh5ABuhIxODB3MbJ3XbffvgB5eVJvqsXHLL9oG+gltZVABTPDylrWZDlIwd7I96vQte0wRnhs8+bOST/MZwjayinNCfPf+wd607aV6vuhcVw4elEUlJoKcYnQLCOLx4HIq1i+xpAJM4eWidGZYShtLEfKO2+Dgi1oLKNqvBXbRc6ZfPIp0HZQMJiXGMGSLW/ei+m5pqxbgnf856OqaYwTv5H9o+dNDvDZtxCEGWZQlUVLaBNV3JV3+V1uI7R4WYyKUG9GagjBmFAyAo6sLOnltyqwbXebhcbCdwm8CCaQQg0XCUXqWRY3IqUd02xxPUUY3vc1Kd62lFsPLs6SyGaKocaDt5cHRhhwu1PAOWHOHMxi6YCHFfgyyp8/hfkoPmC5aPEmcPPb+1ZQA8l1ANT6NqREbhOBwDIVXQq1Wz6H4MtaM/ClX/8KPH2+4TczzOxrL+ns1BX42B0H3tUr+iXmzSskCFGJ0fDUtCCJgozm4EVIdjb6Wd5o4Hdk3tz4USxndjAswdYFqoQB6KYXyyYXxY5ekZQ+REZ40LrcDkprtfMIyxwPNuoJmtgCInNnh5PSTt2oCaq0r48bXRxoZ9tq+647uwZwqK7XgrK/5mQPRCzrwhAXlzKOCNNLFvJjKjoliSx3PD9mBZL9Eu3eniy0BIjRUitHXKJ0tA4WRoyAMAojxqodTeAl+cYbEc2F43fZRF/ir4/vpX7Q1L2Jo3Yry1YrJ8CXzJQgxNIJzBkD54b1SVg4S32hZronBXwh86WCAFlzi7GsyBwECCYI3bkhC6aEsWi+CLOqneN3Cl2Y3LfU2S1ZkvE+nva+116SjYvPyVEWf+1knO559FH1shcR1P3ZzxDNBb9a2/3s39Dw1WZ+W9Z9cT6z8/9HybLLwrP/f/4HXiqi1mPnngvvdevsLkIVq/bni7G7qMMCeJIxc5DMiHoKH5u/F7lGNz6Q2dR4mjVcCu/yHdRvUWctiFX06Nk3oIOWyKF0oooPI4Nj63vQlBx0rXst34CRGI4jKnbjwiwSlotJ+PXwt9+igqUn1tpSrp2I4r4USi248kqEp6W5uovT7UY57vczSdRVWYkOMie6yai1t3ivbexDDUuM+lmeLTpyaiykCJagixOb+e8MjC0kljKoOSFYXaERhPFHEIE+jV8SDhui0D/qDWGMCftZXPxEIFqGwYVWToynr4nHhjMy8M4T7zCh9xzjM8t3LmW7MlcoJd8LT6Yo9QKFwSHJiHtp+x4ZoQ7+vf5JDT7dxb5nxxonkIDQr2/IY7mubdn9KMfCEvb7ESvmjQBoudR68We5nXXTEJzb8de/2rJdOF+K816oHX2YnZs2oZ2ivo5A8PglSzDn6qtnFL8/8MBWVFHfyjxUWL0qERdfnIumln784+kS1RJ2i7mVZPUhCrT7+DpmrS+evRVpiQfIEzUu4OVbT6X9uMm5aPKY42T2j2zkOwxB93gPtut3Y9jXdk7s4VxVyffnNsySI8+QyZKjE8CL0yFiRhuEiJzCcWhU5TwOZ3XtlCeAF9ee07/lVscSeBG1+F/QPSAkePqWq9YPs5Zo/kFaJg/QTaCeOi4aE8BhvSGDQp9zrkGbg0WA+S6iap/kRaeHig709dozkZvaQ7KFGzfOw2zaYZsC5uqRWpS5E7l3N1JoxcJQAodeLYMHZfAeRdzrzejdVc6yoynmSiizz8PVJTCoiPS5cwqJyMlET1WdUhLin0KNjZB4DM05Cc1+maruTDaPgjoRFRSP6/f3QcFIN9a+8Bh6Pv3ExrklgAvGBFLwdZo++LBky5O0eHMwS/R5gmPD8FHCyagcDmNttnGhJ8GMLKwlO5VBC+gAsl4qa/qUzL493Yjj/ZEo18ys4uxsBtnZoWQHhTETZhQInq5b0j82FXGhI2CVEWX7roCXpDhvZm08SbEeYGB4ZE80VlsKw97PJrUKpH8LSJVA4WKxgZTnYpDFDxfJJqHLWPaVfNKePSciqjFmQmsvuAGPvVhnA1qezszieefNcrq4dHYXOnbIf3IxVO3lmmDrNRQTXkTwZXSsG8O4n4Gj8bvr4oK48nAfqotXoeWlPdC222b5IwtmoZ/U7fjAMZbyEdyaYL54MPj1p7WnlqCBdYtftgyFV11lsRgsp37KI8+VWogM2rtPAbpSknxR06Au2Gm9X0ZqAMqaBmmXSdtnFY2WYLpNFUyUsAgrKp3Hrmy231nKKA4poqoCkCxa6Ink07owOG4EDUTMWyzeyyo0NiKX7qIBVBKPH56xlOV9IS6zGuU8wzod+riA6xMghmwYA9kwCgjDFOjRAF6+mTcP/8tMcBT763fdHqfY6x6KvVon7t3owKXhfNBEBGQWwWpXNRSuXJeA5dSlsJfxLipuwavvVuKzba3om3BfMd2zlEUEXJWLKqt5WNF8ivBG6JPFaK2xzTgKUBRFUcwkZoz9J1g5609NxOlrErHj739Hnx0WRfyKFSi84grVa+3gu95NjYkh3R7a21qCtMmn/gCzz/3tZCmC/pNPMPruuzZC8eO0cHfjItSHLi2O2vMvHsC2XW2KThEHL3QwCVLHb0ZYF/ba7JwQLNN9AW15pf1DZ1Gr7qxzqA/F90jxco9hais1fozeSttxwfog45J5P/ly6IPjJ8HY4EAPnHNaMpYvSjCKEHNcPfjaa2j64gubudqVfqxoGZ16KnKoP+XFMetYNbnOAYLx7SUlZNHuVVg54pI4TDZRHUvcqhq0ihaKmni3Mq74ENzlOKXGLFbAFzoeCXvFlcanyr7qQ3ZeILq9otHB+K9xNAbdw9TKYrwi4u5StmUNcq4u8ET984+jp9VWYySETka9/Ja8E1MxsPACkBijtDNPSsA56+w7c0op6N+eL+H9219MLiDIdj3dedQYYc3s983vvCMWQRa3HkPGSzyZL9ZjwJ6nn0YL9WGsWxINGAookmtvjNEzgbCdYrvO2FSzWDKYumqVy2OV6Tq2bq3Ha69XQGfGpvTkZPTzny/A068dogOq/ZIsGbN6mRAS0MUVXUgZV09d/CEiwqr5TPXISgpEOJ0W1dr4aD48xq6FF2OJUpYc1Y0dhsHLdkxoZczRMBJM/aqFkyVHJ4AXV77G6W8TBPt9YfpHc30PLVyToXD9iEdvyxPAy9F7lt+7Ix1L4OWXN89GeuqR67q0HjyIvY89RiG1TrTQ6nlYJmM787HfuvPRGpXvtGZUXkR2nB8S3fVcMDdwweia8N1NN83FvHnxNhP4Nv0udPhQ2G/iwiTYEIcXEXgT+9d+zut+r2kxSmFTXUc3fAiG+PU1YMCOyFlwQizGCMgMaaaCU7+4hP/L3nuAx1Xe2cNHZdR7782S1VzlXjC2wRiwTS8GQihpBEhCCFlSNrtJ9p9vUzZsSAIEAqSHBAgkdDCmGDfcZcuqVu9dU1Smab7zu6ORpmpGtgTe5/G7y7MLunP7fcv5nQLzLd9Fiy7cG1OfBr0hqCjjxGPCsDB2TIulf30MyTUViO5nShGBHVk0CXqSzQFaxQlTHvX2vdRj26eo2F7YhflRaGnR4GTeWlQmLnLLuHmImuc0Lr7ONA4xXWsI1ay+SpVcJApeFC2f2nch1dzs9HDMz4viwjcSuZRoRVL+JZMVb4uiIfqpPMEo0yZqzKXNNfCSmRzMmEd/MiK4eJjFcSpZy2rtyfcRT/+PVLI8QifYQHJN41wcmzmx9nfy6Eih58lC6sYD+N/N99yDvxwx48hRx0QgMV/+9++uZfS4+8rgTB/6ABfkTxLYbPWR+XIPmS95ll1cfOxSFl621tHjhz+8tBMoPwDjyYMwOTF+ArmwS8rPQMfJWhTmUGZll9wVKbG4NCgUkMCh8Tta+c1vImme1YS4tU2Nx/9YwW/fN2SsMC8UNU2+gS5ZGaFcUFigpd3MdPHS4sUhJsilTACpapueRTPKmOGK6n4aTgagaDs9Wvwcz0UMYKVPa2UF236hFFGTjs5TQYq06WtfWuQ2tcKX56ywYVjlFVBLQzbF/+NiIu/IEZztmyOcpP477sAT9DL4pNuHXHC8/CZBSA9RzBE0JS5aGIej9SM+jVO28796fTIuW0UPHTsPo45ODd58txHlVUyfYqKKgd9INVld9l4tscsT0b4+C+68XQvP9GFhrxp7PrYDIDksSLx1VkYUiybBLmPd5tR2hNftk0hFl1sr345U2SPjXdmm8v4cIOgyQPacaVw8GQjmMqpcWlBkBFZ/dxPlIQ/yHZqQVrFv0TKlJYgsKedm4SJU5WYRar+dHO9vL1Tg7Q9bcaZF5/O3uCrPjOLO9zDa47oYF8WjAJHqFddzcZ85WWAINGiR1vgONI2u5+p87uM0lwmgUe9YcBxKCWhed0Xe5OJSQ2neaUq4hpzTbXx8if2ZGpN/7bXIY5qUNyaVj7v0aTMjn1XVySZUfvAxmg4eQ19DI/r7PKfUCNCcysKcp6QvOajIk4bIbDZOA77IHCaUUiIpRMiiPpCm4YOcb43wWxBj3vGETAzH5CCqoBh+4WIWPjUOCBM2vvJlAkdV9OexMmBtLSLMKk8CU+Kw5U700w9MmvzmBw+W8XlNz+BsbFfjsb/VQDvqGTj63NU5WF7qymQzke0lrBel4GHXAij1LaLMLtQuRW+Qfabi7eIkyZP3YL14j1EuNF2TdNAj9LYxOI9ndj8SIE/GtgQyp2byTsnz+8lPP+K8ccoXTeZbQSw4Dhs9hyDINp1kBuo5S81M892DIzDAgJsufRsL5vdDUh2naxbTVbRm3Kj0pR8Y9kLLwoxzypH8vp20qV59LrR++Yrk6ALw4lN3MOONmP8649/Mxg9YZp6N3czJPi4AL3NyW8+Pnc4V8HLLVbnYsNrRwOxsrniIg8+un/wctdXtrDi4p6va9hu6ehN68y/ipG76I4WTdn/1ikSMdgzh1VcbfDK8lD3ecUcpVq/OcrsgHxkfxV7TQYwGuS6elOouQRi/jjCo3xzHwJ63mTjUgMHyY25PVOIUYzLTMVR7xuHvfolkvMRmInD91RgKyZz0WHHeiT9TbSqYNjTkN5XktJKsBsv7uxS6f5JuEKmdbQjQjyEqKxOZrAgXjA0jiQNLJyUFzaSBOgMlcaxMZZIJUVXVR2ArF6eWXI5eXYDDwiGJf//Ww6snTVTlWN1M1BAQpqlVg9pGDdlArIhx8nMOgSdn8xr5/BuZWGWkhimR1QLC5OeRycNoXZtRr/OOGijReIrV7UFWxuYKeElNZOoVae0tHSOskvp8KT5tGMjrXc/kjJLgVrS9yXQSO9mHMK1MAro4RbbbdpxcWIgFNLscWH8FUwwO0+zVcSG2aaPQiku9Alg+nejERl0CvrCi2i3OmF5atHkEX/H7MeKCNQ4TRrPhMjIDFuD9vU2IPfQ3aDscjaZltwmlxZTkdUJHv4dSyjRibQtQTtQEfNG6WRglLFiA5fQSGSA4/KvflVPG4ZtkqICgS12TVEe9y8VSKRcaJRVhaNg6oR9hvPQpD/HSsiD5zNWZqOkw+fS9BYcMI2FVB40FXVNThAklfiR1DYM0a+UkiYePaEhF57GpquIdNxdi1bJUj6wMb89L+kkTn28XF+bffOABxNLv4Gwz8GTJN8TF5w8Z953M/i2SDK2ZLBq8naunv/dwsfnIk8cJuHueSN51Uz7vUwb+vqsee8oZM+0b5q8ccuvKROxYn6bIN977qBn7adyrdUqcMwr4QtB7iDHywQR5/O8oRrMbplgkdaVZ9Krq7xnDykUxOHh0kMyWAMbQR3JhOcX0sr/WUMsw4hgnH+s/jOwMa6KefZvP/qCAbAt397qdrIjy3/1OYUWIqa5p/BT9VaxMm/k3r0XuJj5tMxdD2DYJLumZ5GN+6SUEOJlaW4TJQdZLiBvphe18Kmv78Nq7Tdj7cScamrVuZXKenuNlyS1I6qI5vs7KWrBFRI9KCg9B73FVCCzX3INuSiWVyzsAACAASURBVI5sLWhsEElnaNDb5pgM5e4YYdHhuOK/voWytaWT19pG2Uc1pUVGskjOpoWlpqKETKNEDxKvs9mnt99IGtDBY504Sj+jTr5H4jM0ajGit7UXycZ2BHfWMt2xGwbKuO1bMj2G6BbmbfcK+CLMYZEzTzU/mtuykEWwRf6Rvkn+R4pe4u0Swn5PAB35RqSFMe0wKY3eRul5GE+eB20UvWEYuJDSfxTtu96m7MuEULJvoml0bXtvozneiodb6CU3oDsoZ9Lw90qyXXZMw3axv6A3+H2+yZQwDldum3jPfOfuIiS6AXHaKKnveustF9ZLCr3E0vh9yXcn/eUxYbscOOCy/+xLL0Upk5C8FY/kh438xqroBTidpC2MxvOr6PcS7oVl5nwib1Bmv4vAsMwNBNcaGKPUkrHRy5Ylu2X7kOCCht5RGnD7sxg2vbG487EW5Ibjzu1MUPP/I4JCWr28WzwZSo5UAfkY9BvCIf0xt5Ij2Uk9J8PDoyvRExSHPQ//Gyq/+nX48Vs7m2ahVPn+Xz2C/6Up+YU2dQdCWAj+NNqYItY/P9sF4OX8fC6zclZzAbysYKrGXfR18USL9vXE+7p78c8f/hyNFUwD8UI5DSktw+Cy7fQe8bx30bUvzY3AtauScexQO0GXeisN2Yd2MxcVGzd6ppfKLlpM7TgJphwETkNlHi2E+Vgf3v/ef2DwTD2ZNkwLcSqKxHKhMNrAa7ZbZftRE2XKLOb1WSd6qqUXYSxvjcuk25IVjooFiUTopyaE8SNcPP71CQwPTlXpw0wG5HS3Irt0ERLbBhDPUTEuhlTdyGBU0SBOMQp0aosKopj4NIouGnvqwmJRuf46tBkjHEw3L9+agx07ClwGVZvHQwuZAA1kzpxpVCuyJImPdCeV8OGRzPkmMi0Mol/OPHoxlBTEYh69YWRR4syG+WBvK17d3YRdr/0Kp1pp4BkwPQXe44mb1ViUeYIJYVaj6tgopj2QudTUOsxkBU4sfWNd+3RfpKq0amkCtmzIoI+LNQGqlQyDCkozzBMUZxO146DkxiYxct6xhVW1FCaQtCSuxe4PHdkuKsq5vvudNUhNPct7Mc1VtHDB+JTEPgZMD76UmT5EbtA/sZDVlKiJhCuLRUX2zrdIM07A7/9Vi6bdu2E+scdF3+8fEoTUkgK0H6O3DcfmhfQHiiITSloEK38GglEG57hb/q34S/fi+X2Mtecz86UVko1S1zTik3QwkbIQCxcafROJRLb9NzJeuoPx0mJQad+WlURAw/4iKSHc6wQ8K9MPi7cP4Vhrm1ujXdmvyE4SYkMIpKqhqk9Ez2GmjNh1E7II+v43lyEmZmZ+PgLQ6piM03H8ODo//lhhAf6W/hb59JA4F8ZLPX2HPkcJmPgjJJSUIIXSo/SysnMelzw9V/k+n2Di2ckqSqY8fKtlZLp8/tbSyXN4dU8z3j7UN21V3/54IsHIiPJTGIptnXqPx5HtJE0mYGUymhamwMnKSNnlglNd6N/ToSxSQ7jw3HFpCtq6JKFnauxwvtaMnr0YPnmI8lcLMuj7kj1h4q58F5Thrf/Wt9wuqESW8tFPfgKd9CkTzWRmRd+vFWHpsVhHZlygSsfr4Tem/y4XzzHWrYQJxUVKECVpLv3PFVdAtWOHy/OURJvXaRZ8uLxPkbpI6+zSorFJMy3Dwn7/fgSGbow+Ar/OJoSH+DFxyY9MUAEcp8ACU3Yp9Cu3OZish470IL7ubeg63aesCICTkRqONEo5w6KjsIIGxFH04Kimf10rJSYWb06jHl6+eL7bC265hfuc/f7W3SFbad584EgH5XQ03ec91k+kFo2wb65mPLd42MhCO5x+Jon+GoIwnQiaAGFC/Ngfs69wl6Tm7liyncJ8EX8VsihDKYEN5vsqTQAXWxOZtzx7sYaJJIAocw4xT47lvCaEv1G2Z2ceFB6KSBacRupOoq1X/Gcop+WP5BuIjpQih0oxiA+cX4ahgksmC1xSlJEko7hY3+Bg8Rp67G+ncbrRc/z3QoL6X7ohn+OR41hmGh5GxY9/DEmntG8BZLsUC+BIs/c+Sv0Ok0HmzHbx477WE3CO9sJ2sd9vOWX8bTTKtngwzpdtU+iTtfhOkeh4L3rY9q2hvO+nP9uHXnpd0TIZh0+rFT+fIppZJyRQMmjHMhLQpZLFJeM4bbYL4hQGky9NdnHx4hjcvMU6Px+3nMGI4S9QkYE+fQuDRf91+r0kKSlHTZJy5EZyJPuoNYSTRbUML33vexeAF18eygy3CZrFue1MDs1p9XnbLgAv5+2jOfcTm23gRXxd/u3Lizl4nZtp0YmaTrz/iyfQJaZ1Xj7K4BxWMdbfxMhkzwNCAnXUV69MwjJ26B9+2IiXX2bKiJuUDnd39Lrr5mPLlnleFy/y26P6E2hXdTH1yP1Jq0YY5/rzA9C3sZrOxUb/mQaMaHSUjpgVr5Cg5DRWHYOhJVXXvvnFJWE0kvIju8WVKiMXlpXb0T/KBZmELHAQP12SQEq5Y2+y+uO3YfqI6QtOq4Hg/PnYmJCNlNfeoDEbK1L8mUwuVPRt0Ywy7UEqSaJJn5jcxDMWuCArAhUVvYpu1+wfgCqaBbZEMrbbrur6zYeWYx6jw6erMMu5jFHeUN88pEiT6siGaWesrbBhpqMfn/sbf/Z7ELBC4l9LKOFQYqsJxIgsSUCLZ/5yCo/96kc40bz4nIGX7dd+DfGMQJQEqUF6QVh8qAz6elUySVlQGINt9BTIznCNAe8iw+UE5Rl6Ms0sZB74TbMQsBAgNIVFonqIgFz2pZzsTC3Y1q1NxW23LZyzRe4ZUtufkWrohJTO+fqDzQZc4fcIAlSdkLMq5UIqimyVceM6BAfcqHzLwkJ75vlyDPzjd9AQcHBuMWT0jA8x8ae7n5NNAhOUBYgMS1oUr13D+2PfpDrbRA+k1nk7lAm/t1acH06/GUY5e9+UoKgKKpptd7uJmBbw+GT1VLy0HHdpcQQq6Rcjj08MzkMIJHlqqQx5WHG9FqZIyiIH6YFDVovNt8j5N6VMtjHWhOH0K0H8fl37uM00T7xuW55Pk/NRjQadjLntKeczIINImBC29jSruLMCvKxePblPWZAE0xg6g/8tfcUKhFMO40tF2NtztP19Nyvcr7zTxL7cfd8fycSq73xlqcvC7X0uYF/6sMNjZVz2L/1ld88w+0idsiicR+bT/OQQJrJ4fnnGKUs8TmlSk5vZZTwTlhLpvzCkMSKdQEAqTX5FQlOSH4ZT1e5Bw+jRdoSdfA2j6ik/mEnwhd9W2X33IY2sL3etnn4l1c8/77CwGyczwjR+EmX3r0OqEjg1cd+M11IysmGy7zAcPgwTk30CuBh1aPI9/+AHCGU13tb2HWrDW5QW9Q4Iq8Zx8+4eHerJBPJ1fMmNHsHl2A9NV7/H5BXjRddBFzfPQVYWoWtFdM27GO51lCqJmbGwhOylnEKliWU/Iww6YRjOtPlR+5RDo+H527bN6rvs7jzkHayt78f+I52oqBlUABf7vsvM51dHo/dephI5NxsIkxs+jLLIAejPsEA1wLhhDybG9r8XH7lIMrf6OR7KWGgPtti2E7aLSH9lHmVr4QRfQmgMr6J5r/1cJIR+RUGaNgy1dpAdQYAmJBLGoAiM0GhT4pfTaMqqD0uGft1OaMamxrRtm9KxfWJx7+tzau8exi/+WulWvm3bx507srBqYbLL82shGNcrYJxQrOxaGlOKkhnTfpTjdM9Ewqf937O3bEHpddfN6H2QyPKPKTkSs+TpWjGPncNjz6So+txzJ8k6a8eBk4OK3460aKZOlpbGT+7HEmDBCRYgpL66gKCMDSjzdp/5eHEVJZhbVmU4PGOD+SMCOG8RzHU0wnfZnyWJ9/erZMhEYK/+IIZUGrdzd6nntg/n4s/fegLHv/7QBcaLtwczw78H+WCkPcNd+rS5Qarx52m7ALycpw9mNk5rNoEX0ds+QLf2wvzEsz61AXqivHG4HW2vvIDBY0e87kfFGGQ9Y6M1cG/gG8TF8vriKGyl30lMRAj27GnECy9U+wy67NiRxyjc+T4PNHoaUu410Mcl2P3kVf/KKWhf/xiJ41ZjRQMnk/00HDRwEWJmNS1i0TL07DsAA11TbRNHmTSMZxVilG79LhOa8EgEX3wtOgsLcHJeHIbtKnKybaJ2EMXPPY5htcbhp3Ls7M03k73CyOWxViyoeBf+PdYKgUxiRrko1XLxKFWgYE5cZPIj57GEhrRGTm7OnBngPbTObJtK1qIufzWGJvws0tPC8K1vrZk0SfT6ELmBVL17SdOvqR9UKuq1nCAPE/w5n2VJYtKbS++L4vwYJQHogQe+gd3lJecEvGxcWImVG76oJNXM9liUmxmObZdkoqQwcdr3uYuL4SOkFZudkhXsn6OFVFt/Jkm0tAzRz2QYIZnzoCu8DDq9UL+Bb39rlRIbOZftNL1ZnuVMbVTKyE6t1HwUxYHPcRJl9VgRuKSU9OVw8zf5TmdObq2jSfez//MX9L73DunwTmaInIRnLi1C6+EKZXup3i4g4BYUFIgIJq8YqKs3EDxVvhmJoOQ30TegR8ilO9ETkD7t8xOmS0OrpFF5v0NSvY1ODEVbv+eNZUHewnhpAVoWzY9gehF9pSZYa7KQENmcO5BB1qxrb9TAFDU1ua8+YzXadZdCkjSShJvz1+JJJlL0D7o/n+9+vcyj0a7ynZO90EZmiwAuSrXWzYJzLoAX+zstHggSXZxIoECkSMFi2GpXffX+VBy36CCj4pfPlE8rMfr8LQVMVnH1B5M9HT7dgz+/3YoxN0bJw0zjaiKrSUAS+1SpbJqnL2Symb2fi/1Zja1KwvEUgqJcCAuz0L4tPdwKQ50GmWTwiRRj6totWDg/3AV8EcZHxpl/Qs2xyrmlp4RjzU2XoYyeOu4WZHr6RH303/+NMXojObeIXAuWP5jMxbF68k8WCyUGhu84+AXpHn0UKnq9OTcLJRUqLjL7CRi+/OYZnK5jatnEuOTuGfYQvKon0O/O0NW2vRQcivIjKCkyI7z1JPK0J6Ey03FC3Iad2jglXOM7voi+UUYi2wE90UN1CK/9ECMDaiUFJ4dmnwlO8i0xph2kp5EwCrO3bsW4SDpnQGsMJVOmVKRFTFvz1KRf2k1W3+uMDz6XVrJwPeU5eUw/004unu33J6fdqRlFvV1cuvPxZFzYtJjALbsauSfhxn6Eqltgaa4mCNPrwDqU9zEyPJDpjKGUvYUoLCy1Vk/gZ8jt8zWIGS/fAecxM43y5zD227a+0J/7iQ0apYdOlQLS2B6ZHC+AZuxBZCGZQ5l6eN196PJLnXxPpCD1XywoxcbMPCjiQwFW32sja9U9IBus8mfKURGv1ZHfN8b3o5IeR+NO342K8rpEfmvlTz7p6u1Cdp/i7UJp5Uyblv5CB2marXfzndr2JYyhVfR7icvJ8RnYOXy0HQ/9kKwXJ+nt0qVJiCTDSOC04w30WOHtWchksYhw3wxPI8lE+8zWLCwpcn+tY6bnKWA5hoBAz4wjuS6/cYLFpjsxphrDPsMhGILd+7IZOX/4zX3/wAdXXEst8szvr3IP+3px/+638QumUF1oU3cgyJs/xBzdLIOPrKo5Ovy0u70AvHwad/0TOuZsAi83bsvG5nXuPVC8XY5UoT4k9XnXiX6En/4Auo8/VOjM07WASDqOX3knJQcTtGSnjQtSQnDd6mTkpkYpE8v9+5vxt79VTqbyeDunK67IxVVXFfk8wNj2123qwRGUwxTouDCxNDIB4Jf/5AJPhxgzjQv9rec1LrIJJgJEMP5RBj0d/3+pxsvEb4wJGJaIGHq7ZHmsuo3HqtBN7W/zkvUYcGK7rGXUpX7fHpdLzaNPy0DmZaxaWe8xeTJYU7cbIfXWibWRiyGNEgPJvxMUJn6l0HtTGVO9mFXvRk5eeyg7sjFwBhMzULt6BzpHVAol+Jqr83EZtdAzqYzYTtJmTNzEmNOmFi1ZMSJP0ioVNk+VeG/Pcq7/LsD5wQ+eOHfGSzalRhdbpUaz1RKpp9/Kat2qsjSCBt5pwiN//zvU77+Pk1zouFssib+C3+LFJA6zon6c+v0J5lhwejZGii9H0aIM3HXXkrN69jO95uN6A/5IsFFv5zWh4ru7Fb9GsKreYXfD+kVYhs8gnYts+9bNOOXnHvwPdFY6bi/bRNPPxW9Ui6F2qw+MeB0V51nTe6K5aFfzHgk9W7xPuvusPgaBSemslt5KGaD7CnYBtejNpOMbfIgAD6YfVQpBvWZS4qdrApKcIuslk9K0Flb7tU5OqmX0ZwmjV5E9uBAd7YdNO3keMY4g8Rhj7ytq+lwisMM00RjaG48rN+ZijJXqD/Z1uI3Jzs+Nwle/4Gi0K1KTjhMn0Eo/gSFS5O3ZLe6ua66Bl8lj8jlKWlUSpRrJCxcilfKkmfZZsuj89bPHeM8cwW3761q+OB537yyZdt+n6wfwhzeaoZ5gS4lcqL1Tiw4yAT0BBWns+5dmhRGodWS++LOfrlyfzvFAqPdiUirgi7Wvz9GOYWF5F6vB9Nlw8miRvwv+VEo2VkXNFLMlaegkLKcoyXPDUAik7GEpq8DXXLPErcyokgktDbLwd414wvKHPk8Q858EXhzvncVwOyOBl02en5FgsIF+FoEEcRwaz7/8xi/hX4dH0Uew0JfWI75jAr64AblSk4KQSY+vaqY8Wb2MLLjU/xBUXWcQQQaRW/AlKQv6jTfT58vxe4/rr0Dm4FEkRzLymGCtrcn4pm5rU8ykbaBjUGQksundYWRUsy8tkbKPUibWhLqRFgm42U+vEwFQJQb+V7/8f/QSItjsf5bCvXEtFuc1YNWGL3s8tQF6TdUQgJ9OEl42n3Me3gf7beRdC6acN1zfhzCCMH5t1Yjxo49QuD+i6Kvl/H5qyNSqOSPMCce5oZqSlhGntCpJxhHQRiSQwoywyo4CMMKAgZHhMRfmk9S+RcqE/KUYHQ9GZE4e/NLEEyYHmzfn4/KNvoMNzjfqdy9X41AlZTYeprTFuZG498Z8l2JVE9Ot+iXdyo4NKJUNLWVEOvqFOIPF2WQ/ldJc+WyZfG30YTr1xz+6ADr21xNGpuBKFmYimGborQ2pR/HL353ErvdaFO8zdkWTLT0jDHHpUahothY8iijnTYjzDdjKSAjCXdtyKXec7p2mN4vhSfgFNLDf9dI3mDfDf3wbGvyacMbS6FFy9OyDTyHpsxkIJ0PwbNowo+zDfx9wAXhxunlBXOd8Gs3AovL52i4AL+frk5mF85ot4OVrD34Pd9x4dr4uJzjhfPtYD1r6DUhoPQrTgXdckkacL1WQd9U1d6MnJM3lLkRzgnTVigSsKZ6q7B861Iq/MOJvzJ3Y3c193LIlhzG4RTOehNt2VWGoQmNgM53SrSOtHwERza/ewVBltfXf+Z+TxxMREmA1pwxNTkYS6e9Hf/5z6O10vQI+qXLnQ2MOVqi0BsqR7OVGZi6qBzlBEYqmmX4tfZddi7ZA6+CVMtiNgud/SymTI90yQ2uEHxeGPaZYhysPYRz2mp5DSKw4QqM1PUbZGaqdjBsFhMkloBUZHgQtB1UjqzhyjlK0NgYGoXIdjx+aqtznf//uSqSnnzvrQSaSVlmSGs2KSS//b5tOYQv4ShufhU/F6y7mylzX64E9bBAa4o9LacS5cW0GIsj28qXpuTg2k8IcQCaCWDyWM2FmzP59lJ2QIRBIyYawXVoIiNmvp4JTUnHrIw+jaInnKqwv5zGTbT7mu/pXgkDGiUVknqkKZYHPwuIw2fJDxeg9UAcV4n7O/uKCHdljh15/H+88+jS0g67Vsew1S9B84MTkKaUwtnQeE7DE08JM0PT0wWoaSzqyZYSF1hea52KcOo8eTJ1M+hrxIUVNjI9z8yJR1+HbgjI61ILD1UPo7net2MUySUKYWTZQQbCnLbeScRPvnpnX2qGlh8hUglHoSDg0HyUzBpjGlhIJ+qUF+OuLlUzYcu8zctfOIixbQjYimXwdnMy3Uzo0woWCr3KKTwx4sXvRRIoUxMWEeBmkL1uGWALhvrBgdn3YhFd3tXg0OxeJ0Xe/WuZTtbyeYPNvX2lEFZOJhMU0QtafN6ltHPe/mkCJlmagtjZ8cRrKaeBqawK+aOlREsqJ5mXVPTC0T+/SLbLK0nmhlLANI3Scpssnn2f0umvKj+w/bP02dIUXsZ9JxQ3b8x3GTC37jn3iVeEsE+Lv0tauxSIyNvRmfr2qY1wsTq3KLOZM+Ju/5rAQ1TH6NpC+PzbPKQEIG1vVOJ2yEEcLN0+yGnzpOwR8aSD4YvMXC2FfWTQvkil8et53x3sThlFcYt6HsfY2+hcRDHDDfDEvuxTarKWT33Ua44tv2p4DS9VBNL/33uRC1kj/rEECj3o3/lChXNBmMLZ3OvDFn+9o3tVXY96Ewapcq4yPBo7VZ5oGIX5PVbWDitGtgSwnMcmf63FpmAPxGUqMNM5zBbsHkUl2VnFGhFugVgAPiYJeR5P3ZYsS6WvSin4C2r1kxBnI+hh3StTTMvFGmLFSiJFmopeKAE3OoEZUhMoKNvN/xKstJlqF4QaOZ4NqB7aL7TSFhROQnIX+gASMDOkI1vgjjj4kUfSs2nDNWmSuKEMSx74QgmS+9Av276GG5/zL506jtdtzX37TlgxsXJ7i8P1I4aOKc0Kz3fsyygG3heNyBIsCAXYJZ/6UnV1E/xd3iWK+fBO2bSr/9S80vvPOtH5DyfTKWkx/tyCJ+fLQ5L184o8n2Yeo0Uc28xk+M5kvSgunebExNIj2ALznvM+5ZIRlpPp2X4uzwwi6zKMfj3dmDLP/MKz/DQKDOvjMvCzuTbdyFrEM+82HoKZEyZ1dwO++8VvkPFSISBZzz6ZpmULn99OxC+a6TjcviH35p9EMBGXP13YBeDlfn8wsnNdsAC/r5lfgrVef4eLOe0dof8pdAyN4ldrP04zjHWX1KaGvGv57X3Wl/Lu5ztBtt6ArpsBh0SessXWF0bh8WRIr01MeM0dJdfzTn076HBm9aVMWbrih2G31ztdbLlWtjwwHMBhspVAbd9eh56XdZLdMLYqC6EmTgiSlOlH2la9AywlZI6uDA/TX0LEaJvtQsZqYQEq8bCNmbRJPLQZyonce48Sin/fc3nd4PC4BY9ffhsbYVKz48BWMfLzf4ZTThkagSi7CUMkVHr0IlmhrUFjxoRJlrZ2Q+9jvRKQPMaQB63RGxRxYEgGELit0dFmEN5asQ03OShqrRuIr9y/zye9hJvdVMc0b1ivSjnqCMBKfOqg2KsyLT8mjSzn9uZ7g+nqPwriIWLciCZvWZdJPwncJhVDdR2hkqeIC2dY0vNfHSYcfJQ1ZmiU9HQE0lxXA6/jxThcgM44eT8s3LcCKr371rOjOvl6j83Z7aET9It355PlvGv8TK6tHHTYZM2Xh/fEHlEjILC5C72dfEWFnEijv1L++/1Mcfpvx0k7zs0jSqoMs/Oaap+5LDuV06UlckiXl4uQuelA4RVcExibCuPEOApdTb2ROZgilSAYaV3t/S+U7ml8ooItvcdQZjBrXsOJ74HgvK++UKboh25RQJijx0oGc6F51B5MjkqbXv5dT/qKll1PwWChG9qfSnHtKD724JI5eQVF45a0mB58RqWAL4Jdo6sRFGWpoa6sw7uRR4Msz/jSAF/vzEkPeaErp0gjApLD/FTNLt0k9ZKT84rcnXBgn9vv63M58rFia7nWxpsjV6mgo/3YDmZ8D6HIDoHm6dxFMSFlfGIFhMl8srCSfXp4GzQT7UfDIDLKmgmkwGspvNv5wz7RyHNsx5HwWc58DHzH5pVwMdV1fqqBUxvUuv5GLG+u7sUkBX+YpY6f8/gSjkdtp2unc/PgdKgaglMsYzZT+jv9RMde1bxbDvRxXCifvm5GeSgamIgUQzOuiX0sr0/ckQlvaYSYMNevDZ6LUIWPTCr6k89uJIZOtpnHY4xwhO6AHpf30jWARI4b+FM6MAgtffPOVd0OnisNlF6Upfa/NV+kkvW3a9u5VGArC9rKZl7t7llEEc2VRa3QDzIQQmCm5/XYkFxez/zWji9XzM0wMrKMst+oMzb4JtCgMVac2l+OSAHoNfSPo7PPcT0VxvrC2OIYpQ47vjzBShOWwdnkyFjNW2T45UN4ducY+et/00HdMkSVqmUw1AcLomKZULeALAWxhwYyQnWt/5cJATYgP5ZzEKg8LCiYIY+iCvpNzKwKQzsa+8m2HxcdAl1iMgc4pgFH6yiUlsZQU0w+N77RIFBPIjEvkP0k07FYxgdJXdkkVC4xPvVw/afjs/Jxk/vTwHfORlRbt0Fc00Ph2kO+PRa6d19NOMHOAXizh9AYKtUtry2G8euk113jtZ3zpfw88/jj6ec+na0VMMMvdtMltcVKe3wuv1WI3U52kyb+Xk2WnJYssikUANcHLrgEj1wwqzGOCpK8JRusW0kT30hwHBpm36xlHGxNRn0VwiKvU0eW3xvuh8Y/HUdMJ6INdQbILwIu3u312fw+aSCA7u1+f/a8M9I46X9sF4OV8fTKzcF4K8PIcQYqAs0NwYdbgnut0eOLxX/p8NgooUdGDVw53g6xnpUUNMd1g7wsYo9Gstxa6/jL05Kx2qCZnk3p4LTXthZmOhqGnKF/6HaNdhyWRwIe2YUMmbr655JxAF9thhphSs3/8EIxDGvT+7CWMqV1jIqPN9AhZuxUllAodpQ5eJlxSKRji5HKIenqRH4WTDeM86W9jlamWE60xgg16VruUiYTdzCN006UIPnIAQ1prRVvCFlOogfZjYd5/62fRa3ZkuzjfmnRjD1bUvg9DfZObSpZFkTQIhjQ4xAUcJVEy7Q4k+BJGqm4web261BxUrdqOzTsWYNUqVi/dUNp9eBxeN5F7Jf+0sUIvk1DxhqmnUa/Q6j9pWdJcTnC93ghuEMEJ7noCLhcxRs6ngAAAIABJREFUxj2elN2ZVuV0Tz2FQLITnFOMdAK+UP6mY/XRn1IMqbq2t6uVlBDnBX5paRzi4pjYwXd22b33KgurT6q9TRnEUUsX1qh+TaaZIwOldvSzOKUqs+oo2IpIG/syJ/72CQ0dnGi++bPHUH+m18E00sJJYtaqRWg/dFJ512wtLoIeTSGxCKOReE9tk8tlqtZsx2BMkUKtT0+hYTb9ZDR2QMx096WoKBK17fT08I7RIIVyE8GKeikv0jB6tcrOf8n+GBIvLZHQ197JhUcaK3peYMohgrzNtSPQ7kmhwbArJfcLtxZi38etXPixz+ZtjTANIGyoCeZGLpAHB5DKPiLHg7eMt3fi0wZebOcnAIGAMKlkIwoAI34a9lKkXz9Dav50EqNFlBjdMr3ESI7V1DyI95iOdryiz+qdxXezQdgXZIH62kLoObWxJArN69JRywWiPJMkSo7Ex0UMXaU2fcOZPrz8Yi3ZIT68WNw+muNAWt2r6GxxHbskaU+19Q4yJx1ZjetpYr/z6vlQtzTjED0j3MXU5jKRqPiqqybHBe3Y41wc11ipoBPNYqI5t8UxRaXjJ4+g460DUIvRqt0ldOcvxLFFl1NO4rtBrQDU0WR+HTzajZYORwNTd/d8TWAlwprZP5LlJswX26Letm1sVgqu/uUPkJnlaJQqAMK79N1ooVGqO+aP87GiCfTKwt40NJVCGM33Lv+GnegaDlRkUpV1lPqSOSdAizdP3rkclwbY556mKep0bUtZLKWJU1uItOgipm2tpu9eGpkDvkj7hCnUS7BB/Mf6+I+AucOaEVTVDTBBTuvCLIzggiqCZuSKFS/7/PhIE9nGpynZs6LqAlLZN2G7BC5ej5Y6xxQhFb/DHDJ1iphqGGpnUK70CwLCsE9I4piYWFREg1ZKcL34RL36QRPeOtDtAu7bziWdXl4P3T6fTJ0phqqkvFWzIDLO90FuYxPT30yU3AVERCCGkl8lZZHnsoFslwgyUWejjXAeup++SmM8tsfGaxW/lwQC1M7X/eGBFvyNzD378audSVhD9Ktq5zg1JDI+tiiy9Tayv5rO/F22Y1eDHWsTcfnaLK/32N35mi3lNP9/kX3MlJeUu+0Iv/HdegC1/v1oRbuL5OgC8DIbb5frPoJYxP00moHA3/naLgAv5+uTmYXzeo802FfJsjiXtoORjps3b/ZpF83dWrx1rBunWkhzn6gsh40NInbf3zHc7T6C0X7HIQuWYnDpDtKTrf9VZEXbliVg/UTFxH7buro+PPnkUQVl96WtXZuGW29dMKsMjToDYy2f+S0GTrivHqg4eG79xo/gV9uOhhdemKJ3clY5whmVHyutlol4X9s1tHLi18LFoG3eKRNQA4EYvYAwvDEy2OWYhqHu6MZYRhZGLfRmIdPFTCp6yPwFGCy63KeKZ4RlFKta91JvUg49qbL2LSqchp+c3MgxB0jztfcgEIxF5AgBURFo3nojbvr6VmSkx5/VgOnLc7PfRhbGwsKpJwjTSFlSDSuBkizgywR1psdy3n4uJ7jTnZuY/G5am4LN6zOZJhZyViDXGKvS49STBzi9a7bj6jjRLKcMY4QeBMK8OnGii1VGR2qIVK8WkSpum0iH0Ll1BZlcnxT4IoDuYe3foQ3nO2vXDOYkfGB6CNpAR0beCqJGt3NiLdV5W9tPOcORN/aygkujRru5eVhGOmUafuhvsKYfScVVxypNGiOek5YsQn9VLYySDGbXAiKjYb7kboQyvtRA87h+tW/9UElRFCNZJRbVu+N+XFQAQplG0z4wtW/xm+kZ4Pm7YVY/9O/U1S/WU/fufd8BJn8MvhePw3vILHBjDCkSmpu3JuH9F/dgrL4Sxk4atg7brbB4iKULExDOFBFvCxLn9/t8AV7sz0uo/OEEEkWKlEZWwv4KLV57l9fshmUgvxMWxbfvX8pFumffgrYODXbvacKJin5X+Rn70Wa1AS09voMvMcsTYNmUCT8a5uZQDhdFOr4N9L7GbMIWLh6Plvfgr4xStxmOeupb/P3GkVH/OjQ0Q46jN8YAE9bsW/CClRjM3uD2+jeuSUZm89sYcpOSIn4mwnYJYzSurRlMRxj6/qKLEaZF/zDNsNNZODFgF+9T3bvHsbycKXx9rkDQke2fR7M52iewMitNJEN+BFzG0EPGRn3DkFfD/QDCm5f7HyCLqwZBLDLEkD0m4ItIArPTw5GSFI4MSoDmXX/95BxCTfbqaTJe1JSGDJGpoGlo8OpvJPcknmyG6Hk0LO9XI2TJWnQnlhHgE1aLZVpjYHfPcq7GJR19R6paR5Xij6e2rCASMXwXBXwW+dWGVSkEfxMV6evZFGOkj9dTttZN8KWXDKjydz9GVWU3+unTZWvSsyXEC7PPChbHRPpjrLGK/kRjk6lHYpZrA1/kPYhesAgtJEQYnDyMEukRo6IhrwQMlDINMIzyGOdmA2eT2CeIWXcCn50nEMbISe+v6TNYzTQ7T+3ytcnYsSHDYVw686c/YYjpXm2trRjku2RrEWTdhBBsyb3ySpTYAZkedz6DP3Tz/h575hmY3cgEbbsJ5je8ihHyUWRj2VoFvcae/EuVQ78geJSGZvj7Tg2SoWTtR0IIdsUzJXLevBgk8dvx9D4Ec37zmcsysHIB4/fOoRnNe8mse9OnpCOz/j587FcBrWrYQXJ0AXg5hwcwzU+D6EH2aTQD37/ztV0AXs7XJ/N/6LwG6Ej/NmMID53RgD5sky3IPIbEwy9Se9vg9WpCcvMZG30zhs0BitnrZtIOtyxOImoe7DKxb2rqx+OPH4OaE1dfWllZkmII6ov5qC/7s23Twri/93/3v9COu0faU2/bhtjVCxD04w+pu2932HUWtdyhaWmofumlSamHM+jifC4CwgRzYex/6iSGKRVCcCgiEwm+DDOViNG7fltuRx8TlXxuXH0Wdh5F6skDrMA5spGyGGkq7NcRVjFEd+2u8iZePB1rL0PGrVegZH4iigviOSlltWiOGDDO1yVAjLByxB+mltTkagIxag78vkaJ+3yfuOFcTXA9nQPng7ynMbjqshwlRWami1vbfk1cEIw98ghUZLR4ambGleLii3GcVP+q9w+jnvfS+XnPnx+rTKDsz0OiXsvIfImlRGmum8nExAv8FA0WVoPt3q/GsRtQHrgeZjfVyA1EJ24gSGgDX/rIMjtMmnV1ZTu6nSJp01csQnc5o0HpbaRhhUYWATJpn1eYgnBOfrurXBNf4jZeibHMxejo9a2iU0xpR12nxOx6B0YECEog8NPa57ggHtObcKqqz0VKePVOVg7nDWDhglguZqev9PibqXY3L0b4WBx+8dQRdNgt/gXoixjtRNhgPeJ1DTBqdejullhsVxZFDCPoSwrjfKpq278f5yPwMnl+fOajvD/1+liMxM2HLjKT1VQC4U6Xf98dRVhU6p7xpeV4+Ma79ThygnIuemN4CrMRgKyNLKYGeul4a7KQCWC1fIA0jqXsFxJjGY878c4nWsx4mFKGsAl5ncjI/vBizbTgS5KuFpaj7yiGusKOio8OxMAEeBgYwQjeTXdCrXc/cU3QtyDpzDvISaXcQ8rVdq2IkbTzNm506CcoLKEc4BdcsDY7bGsxrWOC3sX4x5tN9C2xsly2tu5iXDNNrZ2i7ntzinF02XaPptay45ioQEqLgsiOHCErcupQ4hEiHhTexoXkQA2WD70PbVcfxzF/5GVHoiCHMfN2yVCllFkmUg7Usm8faumXIRIZaeNkvmgIXGvEXNrp3KUvkSbfkJGsDImIDyxcgvGLbkY9k8Q8vR/e3gn5+1yMS3peSy19XWzMBXfnIb4uS+hRlZMRpciJSgoTlHSisx2nnI8xNmbA/z66B6NNNEPtqqdUuw56LaXU9PIQY15hu4TSiy6gt56yafqLEPQwTqSnyDnYwJfIzAyowzIx2O04/gVxXJBUJZsZsA18CQ/zLKkXECaQwGIiWTBJIkkiMGIvoZJraKdE7JE/V04rOX3w1gLlvbLNk3Q0Yz5Br5dGvlPCdrG1QJorx1EOufGHP1TGoNluNW++ifo33pgWLIwjG0vG+BDKrtrpYfLoM6eUOZatSRc0RNClsmWU4C1tBViw8Ge/lhQbTGN6ekSxgLeEfmDumE9JMSrcTa+k3PToWbk0vYmgLfZ4TzqyFGHQcD0zkU45pBxdAF5m5TG47CSIDMZPoxnIXDxf2wXg5Xx9Mv8HzksmFLvIcHn3ZC89CDh9s5ucig43veJ1aMsd/RjcXVZQYhLGLr0dGr9wFKeH4dqVichMjnS7gG8hLfrJJ4/R0Gt6A0HbcZYtS8bdd7tPZDiXWzxGudA+DpbazjZ0jffAFOBYgo4smoeEr+yA8WQzTM/uQYx+qgok1dXlP/iBQh3VMbK2/C9/4WKqmhW9qQhEd+em0GpJ81dXnKZRmND/KUNilcycmA1/xj535Fw6GQPt67VpaGwb1t2Ci1r2IqBtChyKps+L6LdlDmmTHHmaIBoXLET7xh0YCwrDIi7EFpcmIH9iYvFJgTBW3fg4qcnUxTOWsorpCK2cPAq1f7o0Bl/v01xMcN0dW9YxMuG/jFWxBTSQPqf7J345TzwB1TR67nF6uqgoSQwknXmM1a/f3vcjtB2aMpuVcwyhjGXZshS35yKGpcvvuw9xjGCeyzasf4vn+CY9j8ZRLfGi4os0HoU9hocxoPKcQrCd4MtWgoG2id8xpqe07dtPz4dB9E1EpCvXSONgSfaqOcIFqd2LLiaMizeXob+2gVLJKbNaqYoHRYRhZOPnMTDqXUtcyAjbxn5rhLq3FkJJX0piEJq63QM6zW00tSXTy7a+u2wbk0MW9UPPa01PCVPYEJ7emwCCPktMi5ARZDUuf++jFrz5HiVErHBHahrZB5yGsadjkt1SyIjtNkZZDzsxoGzXUEQQIJ4gwEze0/MZeJEEqdNMfZJ4Z4mgVcXEIjCnBMMxuRgOTlD6k01rUnDjVQUuiwl5bT460KzIiiRe1Zd+RxYuXTQfrKUXmqfmTxA258ostJUmwSz/wjaf8fFJjDCWMeEusxHLQxwLFBXVfXj2+SoX7w3lXffTI778BQyTNWnf4mIIvvCbCF2/A90R892C7QLMJVW8CF1zkyJ1KsidWkCGMYZ+A2U39iwz2/71xg8pEXydizLrdQqLs4VJOa+89lk0tU99Pymj3dhYyQVUr6vZ79Ftd6HJEu8ShS447LysUI5T9GpS0wvMzSc2OEjwhWwxbwb8SwPqkNZzFBGBZiYdqVDE8SzUjgkRQJZqGJkPAzQqd/Y3km9IQ4BbQ98sKQpIPyJgj6QYWs1wZY5kQWBENNPG0mFYcxPMyWS+zEBC5fyOzPa4JOfXwnvV0u15sRTBCOcHb83D+pUZSGOk+Uy+fW99n+3vew+24vmXCbbw/vkxxGBsZBgjzQ0oihyEqqeRSUB8T8foK9LcrPgTCTPHvt8WaDuUBtSBhcvRWOv4nssxEgkMCNvF/lURJq8wXyIZeewNQPIjkzKQjOZEypESCMQl852wgTC7P27Dy+93eJRDx0aq8J27i8hYs7Ll5LzfvOcedDMVzrktfOghlN1555zcYznWoaefRg/ZNtO1PDJu0i7egsf+WEEW2RTrUXyoO8hmODMRMy5Sr0GCL4n0eYFdcaG0NF5hkNm/J/PpVSXJRXExU36Nvr4b0203YvgLi5DH2c94KcqaNuGMqQRNAZyfq6xz9wvAy2w8Add9BJGh+2k0Axlt52u7ALycr0/mPD+vpi4t/nmwE/Xd1CK7ob1n1r8P3SGahnkp50hc5fiVd8AvNgXXrGQFPT/OowdLJxH3xx8/gh6nlBFPt2rp0iTceedirxrTs7nV5YzlbaWUS9rw+Aj6MDBJW/Qn+yTz23coRoj633wA7YlTSDDHISLAmkSRvGEDpDJoWwy+rtbi2OuvYfzgQVYMPNNUw3kv/Zj8YCToE8spg0pmnFKZ56I5/657MFKwAYdODUFN+ZWvHigy8WinVEnXo8H1Y8cRV8toUdGJceaSTR8HK3BBZgknY55iTyUlIzIjAXUbr0Mzk6hMrDwlMJGpbEECismUyKN5nXNl6Gzu+Ux+IxPfAZ6z6MSb2+gRQ6PeQU4SzlaWNNsTXOdrEaAyLzuCsqI0lC1yD3LM5Ppl2zG+n+P//CcCPBigjrOC5/cw6f7Z2cqujx5tw1/+eAJxrXugra6YPFxeXhTS0qzx6O6ayAvKCL4kEMSZi2aitE5v+TlpxFYDPQMXx9UEKStNV+KY39bJxCNPx75l3IR1jNqWid8Qq4sHf/ELJf2imn4KgxNSRT0NdCMLS9FdwZhtxpHat+iEGMxfkI62civrRd538TIYoZdGUNlGqDOWTyvvm8eI6Xa1xMd7vzuSTJubEYqads8bC8B4kqwXiVC9eDPB2FX9GOP9UBofkRIvbVeltx3Vj/KmhYZi5AZbn7fiN9Xegb8/9jJ6jh6Bnn5VZokTs2sS15qcEMxq5/BkSoz93wWsWrZ4SoLm/QqB8xl4aSGoJcauAsDYtyD6MgQmpSGiaBHufGAH4pITHb6HqppevP1+IxqadT5JPe33LQuYQfa5p5ocvYvkWcZxEZNfFIfWjeno8XME+HIZjbwpMQRfsWN12e+3hoafz/6tyoW5kD5wBCNHPnI11OXx0gqz0Tz/OgyPuf/WU0ZqYPz4rcn3RMCX/JxopX9f9MUvIosVendtfHyUbNhHmEDSRXBnlAC5NdWpoXE9KqvLHBJxLmt9DzF1Fcri2r71ZxbgyKprHcyOUwlQRlIa29DKWG7z9EwyiSUW5ouzjHLy+2D/lk+T7E3mA9CcrlLmLvJ+lxbHIZyLcRO/MZEUGclyiWHqjP1CUraVf0YIzqoJvvScrrEawiv2bNZ3SRiiYsw9EpakSA05cpNpuBNGgjC+JKG5u6+zPS4N6g2opBGxO/8pSRJKIkvkW3cVYiXHKHcAmy/fv7dt5Nv72a8OoqFpCuiW+zjOZMZAFq3CVOPIan0X2v27YBlmitEIEyHdTEKjV6xDD+V+OvpvOXzLwnah34q7+Yw/B+JSgskx0b4DAjYQJokgTDxBmKTSBXjm5Rocr/Xsabh6QRxu356r3MN2gnhHOCYN0N9FoRlPNAF2ln3+85h/991zdq+lgHiAXk3DlDl5avJed5dsQ3l/7GThgAp3NPSOoYMAs30LURFsZCLVuB1DUkz5i4riJ+e7a0qisZNMXm/MTG/vifu/66HVs9gU1Ow16chi/AyOsN8dCFErc/cLwMvZ3XFvvwqiX9Wn0QyUJJ6v7QLwcr4+mfP0vIZZnXvnWCf2VQ2yg3N/kmkNe6A/utdlEu+8tT8risFX3oaSVUuYVpSISNI8PS3uuro0eOKJI+jqcpqcerhPQm+8885FrFbNPt2sh278R8kksE8w6DcPQOdPzaiYHl69GSGXL4CleQCaX/6T/hA0S+NIlcKIaZWKFF0uduNosiftVUb7vhUQpEzNYg7uR/grr0BrZ7xnuzyZ5MX19kBHZoyALoF2cotYmr/FUO4hRr2Ft9yGjuFQVNT08x9OMjkIegNhNFwRNnQyBpfbXuFXi6X1lB5xAhkdEYAoekxIZX2YkiOdB8mRnKNQSoUC3Lb0YlTkreJkx6oNF8lMMifnS1n1WMDqYWa61XDPW0VpNl9/mTjIIrOLLIGWDjWaWnSooe6/f9AKxPjSZnuCa3/MvCx6AV2cjoUl7im5vpyf8zYmpmzoKTEK5MTKUzPRryBsyxblWcg9evTRg6hiZDF5Tkjr3w/t6XLF40DYLkGCCEzTAklFLrv/fiRxQTLbbUS/h6a/L3HhMuU3MGpS4e/D30B5qG/a8M8RfFk6Ab4clzQWVhcNZHtVEXzpGzIwOUvPRVE8UtJj0XKyzuUSclYsRJC6G8P9GoTTe0o78X4L6Om/7YvoG3Evy8hhJb5HxwWZD6CLfNKF2SGoavMuXerqGUZazjCS1vVj2CmSNYET3UJq6x0q0XzNS/TzURAyD2JmKWbDHUeOKJ4CQ30ayvQGPUYm5zAOdIiVTDWj6t0lKuVkRSI9NcJrVVYWngF8T17nJP/Aa6+d02uyht5jV9KcXMxdLTbQ6Zz2SJ8CJqhU1gxM218uIpsvLikGyUuXIoX/jMdl4t09zSg/PXDWi2c5bQFeJWWsvGGEi14L+1MmdNE4NyGe4D1lt+WJkYrJsnP7doARNy1O9bgwq2scwDPPVRF0njC8HB9E2CEa3Q+5pl75k90VcOltSC7IQUWtaxR5GI8Vc+zvGJlIQbOdi3hlrLpyFdY88MC0C8T+oZfQMfA6Y501k2waozEc+/bfid6BKdAkebQHm6vfgKm73+V6j1/xWTT6J3FcsSCPrJ+O7lFKH3w33R3mIrz2TD/HMkeAMY6yhwX5USxmkB2n60Nm/VvQUXIkTWRHRUXRZAi1Qk+GqrQYSZ2h1FKahkmEYq4tfYjEevsZ9YgJM0JN2ZGtBajYP8SnYSTQMehg3J+RyJd8BvqQeI9JhNO91rM5Lmmpz6rrHKVEbepNEyBCxu9EpghF0tB28/JE3LQ1d8bywpl8msdPduIPfGdtkdK2395163ycovFw00GaIB/m+yHfPvt1g3oIQUYd/Md0nHPStJzAdHBOIQxBUehjQpb4iAjjyDbSJ3NBJnMQT0VBGQ8lkUmYfDOdpwgIE0SJUFBuAT7qiEQPC1F6Ex2E3EwzvnBtLhazMHWQRrdqsqTEM8nIiGlbk9S1eBY18umzEjOHjNJe+jwdffJJB5mT7RzkHtU3D9FnbBwhV30RvSMEIGmSXdU+wqKFY48k404S+4IzbgzgpQgq78+2NUnYRr+6uWBJTZ4zupSko6CQacyDJzYe0d+Dw5ZujIaMXQBeZvKRzmBbVa9va7YZ7NKnTY0EV8/XdgF4OV+fzHl4XpVMZ/jH/k500ojP3UAip5zQepSD4ruc3HvX9WVefzMuv2kL8uh+P11H3MPB8ze/Ocy0lekd9m23TDr5z31uyawa6dr2bSKdeC8lRrqmJocnJBKI7vFuBOQkIuWhG2EKofTluSMY+uDA5HZh4yGYv3gzFn/5y8rA/xLNKt+VCZldC21rReLzNBHl/s12WvEIThsCyk8iTKtxAF0C6bafcdFFUya9nDQUk02TvX69YjZ3nAlTp2sHUNeoVf7dOU5XDi3VLWG9NE2kP5SperC1nbRXGiJn0+uFl6xU7YaYnCQpS55ITHEcdINoVKdNzcbJNVejezTIoXImumupni9bmEj/klhkkkUhz32mk5tz/TRsNPB2xsXKpEK8YeoaNGQkULrlbnXDA87mBNd2/vGc7F95SSZWL0ub3YqWSIx+/WuoGNXpqZnFJJDmuIETvhAVFd347dMnJqn4Skzt4AFED1QjOzvGp2ckEjoBX1K479lqkhoyZibbJchqfGtr48Z1XKheh6f59/YA39zr7+MkvSQ4SJH37f+f/4GREdvCijrEtBnNRDJa2rJFjIVtwIiT55GKJrrFywpgbq1nxd7xJVEtXANt3jqXhVN6ajB09AtRj/gG7pXmheJ0qw8IDW/CkjJ/jGbUoVNHsNfNunNhcSyiab5q+7aKRwsQ1+GHTlZXu44ehYHgrj1gcYbSK0lSceflIve8IDeS0hCyOfSuB5PF2bLFCR6ZhfJeqLgYSWFKR8aaNQpIfK7fvGLESXZgN9/xTqZ1CYBkJoh9tk1YRKcJVgu45KllMbY5i54Wcu5SYe/ghFLjF4HxzFJooyhFQrhbVpCv56SwI0L90Ee2SUKC1ZAygL4lFcuTMGhx9FKRfeYPjiCbBZANvPdXXZTusQ850zSIp5+r5LVRitb8DgHVk25PKbSEkrp5mxUwurQgDFU1ZD7YbZmhOQHdx2R5Og0Acj8W3Pc17LzzYrfnIP3te/tacOBYLS5a+xI9jhwBleqaywiGFDowhS5pew/xdadhIQPDvg0xUa/1ms8QHDAp3kpng7mJQXttHf1YyHaTMamEgEtybIhD3HTyAMfaxkOK5C6aWImhrRHhlC+oyJZQZENyY7IZT0xQ1SohcrylARaCVMFkAzNBJiYnF0HZ82GmAbjMi7S9g9DRo83Ea1OFhiCSBZPILTdiPDRaAe90RGnl+iRBUMZTgaTEv0RL76lRFr7s22yNS0svugf1vSPon5BfhrOQksKFSwLlbOLbJs84neyqb9xeREPt2S9m2V/TY08fxcnTjp4sKWTffvcbq+jn0o8/PfB9tNR0KEmPakZnjoyZFT+u4IBxhFlGEEbD6xDOQTrqu5i4ZP2ebeCLSESFteOJvWt/HgW5fC8S3UfN+/JNdw7q2T/7YzyjEMbEHOiiMukfFTAJOobw2X5hGYtB//qHIlvTi0yNRT2pdAl4U7BqFfzZp8VyLpd9yy2zO0dwuoDad97BGYLhzvI5mSM1kJ0m99ovPhWGzbfgo0qdS3JaVGQgmULi9+WvREsLsGn/TeSSzfvtz5Vg3dK0c+77fbn3xvGjBLz+RebLVHqYu9/5IQaNo9ejLqAbT3/7N8h5qBCRXI+cTdOSke/30zH8L1OqLrSpO6CiR9yn0YzJno3vP43zsT/mBeDl034C/weO30hZ0a7j3TjdRpf7aRgC0YONCNn7Mk3Qpo+NlkXdsuuvxNX33u4VHOnp0eKpp46itdW1Aufu1i3kov5LX1rqdb9ne9urxZCMrBTRFTu3UYseYQ9eCRPjYv0H9FD/6O8w6ByNd5d98SEsXLoRf6ep4UdOoIttf/5cUKT840WYThznxGGUetUAJHV3wZ+DsnPMZXxpKaI4cRt3qnpLOkfJTTchjAO4LFL6BkZw/HSvsrgQ7xO93tH7RLxeGljt0k54OWQEDOMm3UGk9DSDHnYEgTgf8EFyFM/KmJyjPiwSpzffiDb/OLfUewWE4URuKSOKSwrikJ1hpat/Gk0WBmIiLGlJZ2jUW1UMu6TDAAAgAElEQVQ7FedpmzzM1gR39aZ7FRPIi1am4OK1GawCzT4dcnTXLoDGj/5O74Tt3lrCGEdN1lWwXRz0UzRZPXrMWs21tWB6jdy8oAODRz92WWxN95yWUnaURvPBc11cyzHGDEdIm/or2S5TCw4L2WMWw4MIDc5EOyepT3ER3GuXXuTp3ASe+dq4kVKbYJx68UXUvfUuKpiaIRXeIVasxSdADA0z8tPQdLTKZTepi4ogKW1jA2rHVCG+t0FXfQk9o1MVllSaT+r53wd8rMaX5AYrTBeKCb1+AiWlfsi7ZAADxmHUKKahrsBOBFOJFlGiEqgzI/bQKCWKHdDQD8Fd/K8cUHwoxBfEk5dLAkHVQNKxexiDbE8jt51sclIo8u38PoTd4k92SzwNKJPof5BOGr6KIPFcNPl+tQTThMHTTrmmgErjghbPoDW1MiGN/aKwTdw1ibBdWCx0eX9up0Un2XPiP2EDvYIIzAWk5xGtLIYmMkcBMM2+5IVPHEz6w8s3ZzJ+NRPvHOrC7mN9Ckg+zLjecnpVODfhn20+1Q1dn3VheUkZo8Q3Zngc9wRYe+Gp1zD8wSuKoa5zEwDAeOndGDJOvcMLC8Jxuk6nLBQj/XSIOPhXjFIW69yCC5dCPf9SMhpjcdfOYocFYk19P17d1Yj6FpFvUVmz7iCSk8s5Jk0BXMMj8Thw4DaycqbG1MTRflxa8xqNVacYAPKJR5AJdGD9TlT7p/q0ePb0CghwNsJ5SjJZDbTIcbuvkr53EdBeweQngnqUPcnzFJmhrV+zhJKFlJLnkTUZFRuG3MX5CE3NQnwWwXUBfdl39Da2obWiFtq+AcRlpCCjJJ+xvdkIK1wErSGQ/kBk8dB0OZqpHBIuIMaxUjSpPjOkeDvZt9kal7KW3Y2G9jEeU4VULlji6Mkh12m7VmFkffOOQuRlxMzgq5r5pmcaGJzwTLmLN9HOa+dhw7osHPjVrxRmiKS7tXUNk7UqCXFT36w/KbYj629HAPt4v+5mRI20I7CvBWM05g0kZyxeDDclNdKLBN525vk5UUqi1dmOZVWU+/XRtDqQbEvpI/xoEq2Py4I2Jgcm0qML615Gpv/A5NxnkGlDJoJ16Yy4j+M4rXw0fA6FjJOOtBuvZ35nvf/iMFOOutmH2pAhmTPW1HOsk8+Sz9/Izq4jqQxtaasxoJkqPkhc98IiRnJPeCF1UN7V0qKZBKGjw+mTlhaK//6PtYiN9ezH5v0MZ7aF3vQ67/F+r0lHfkjDUd1a/OQ/HkXON+dfAF5mdpu9bq2idPfTaMZU13Hz0zgPd8e8ALycL09iDs5jNuKko3NWQRtRArKwp23hum5EH3gRI72u9GD7H0Zz4rT6qs246Et3ewVH+hgF+eSTh9mJTw/k2PZfzInxl760hAPA3Ezwh5hMdJBsF5OHCL4ckW1sX4CGYLJV3jyNwVc/4MTcboBKT0Hsw7diUL8I+0gt9tZi39uN0F3vIGyI9HBKA8xO/i8i71DYLh4qvWEcqBfRmC2esqbJyaLodXuHcYLJF5V1MnmxgjASidvGCmpz59SCJczPhFvMx7FqhMkB/Js0XyVHkjogrWbtNjSk8P2ZxkBQFh0pBGEWU0tfnB+LnCwrCHO2kx1v93W6v9tkSbKwOkOafi2ZMNWcfLz3xq9Q3rKEBh9n6cBvVmPFvFP42c9+jOWLkykl8G7gdzbXYeQ7ahCJkV06gvN+zHfcgbC1ayf/czOZbL949LCL98EGVtF37izFKUamtjOS2h3Y6HZQ4aJ78Re+gHRKMc7lGcqCesz0awQEOSYKjRsXI8j/zsnJqqSBPcXFST+9lbw1WVY+SPAlsGcQz33te+hstBovChFd/F7kO0haWIrRjjZoGfdqazK5NNFjI6esBKO11crbbY+9BhYvx0jhJkWuFx+rQgDNqXuGfGO6lJDpUt3mW8Q0U2hRfAVTp8KtQJT4ePTJ4sOOhBPIhUVYtxYZpK2HnmhDpEHMDr3LMTqZyCF+SJ6kiQW50UqyxYiHb3mRmCjGRypRuWkEfsVwMozmy+fyDnh7ns5/N1B+IKyedibOaYQ1yL7R23sr3h/SF05XBV9cEqd4drQRdBFwyh34JOciILmK1xyQtwBjCQUYYX8x5oYlZDtvKUKUMZZ7B+UbyUmRk/fqlQ+bsYu+VMcobdK4YbssoPQ2sU7Dqu7UHdi4JB43bHYPvhg4drz+vf/C8Y8q3QLhYWu2oCt2sYO3jTy30vwwLviHkdq1F9rjB10ehxgQ+11OqZ3eCtgspXfFnTcVKa/bm+83YM/HTFWzAwYTE/ux+SImqVgcCxKnTl1P4DvN4d27uOMjJNcSpCFLJIqyV2F9jPJeDiVl4/CGnfSu8UBP9PLSiEHwNZdlYeWSZPzhL6dwuopA3cTnIX8L4HgUrO9HZMUbQNUBxVRbwdDkH374koATIEgE/3c8IQPG8HgXppgqIhzJV96A1II8+Kvr8IcPj9M3R4/8lARcsyAP7ZVnMNjejTSa8EdnpOLvx6vQrdYhPDIKd9x0K98jFUGmILz1/m58cOAQfvydb+PYqV56ljkyQWYDeJmfdgwZSz+nSGuiKRd2xz6+7fIMrC9LnVOJiDy2P/3tJPYd6nFgSwjY9p8Pr0LL7rfRTGaG7Xv++FgHv8dRsq+n+llD2XYMx+cqSW2jZA+JTCwm2MildTeSTZ3ID+5BHwuJIjP1teVRSpma7DkSebr9CEOpgjJO+29AADhVZASZTvHQ1Z5GImWEqfz25b6PMRlrjFK++ew/pQBnawmcW2Zcc82csl7E7+UgmbI6AvRaTvhP10palFBdgFF+e2qyQuVWq5dfiw5VBt9nJmyyVraA7OXoqKk5t3j8CetFvJRSYgNRTJazicWN664twCWX5MzpNTg/i1HT7yn/r+JcYXo25Mh4Jr7wwGFkfHveBeDF1w/Dx+1U7b6t33zcnc+bGdM/OZDP55Oa2PAC8DLTO/Z/aPuvM63kFydyOFM4yyqFfgiLAo5i9XUPTXvVQay8Jn38AnQtLR63kwlNFrW1xWvLsPLeL1N/OT040tc3TNDliM+gS0FBLL785TKa4M0N6CKLwEPUwfZxUu+uhVDvvY5a3BAaou3V7UPb//wOo12dDptGf2Yb6ldlQ4METpiXYtiHKn0p9bdxP/4RBmm85lylSSR1Pzw+nma4nicRUnkuue02ZJHi78wokWtq79Iple4KehtUNNBwtG2Eg67jhPaOhDas7TgEfbeVtilGuyLLcYgEsLtSm+TIBr60F5ahdtEm9Atj1ctaVEAYMWws4wR+QWH8pyZHsl2O3KPRUQNuu/1e/Gs//UvOAXi5et0Z/O8jP2c8tNUPY7ZlVvJ+DHuRGI1zQhdEsz77d+GPfzxGnwXH5Afxdvn2t1YhI4OOQtzvaZr0NpNJMxM/jYV33YUs0qXPduGtN1TCHPAsz3UKDFRMFqnLDgspcfi26lmR/i0p/xofWFNRZG5lvlqFnrfegamSfkYTrrcygR8QH5OQUOQsyEX9x6eVYwjoIvILOXbs/HmcEGsQptdYZXt273PwtV/GaGAkIknPb+93lAR46hgLs0NR36X3KWI6PZ2SnmsoUYiYuh9jnNif4vc7RvA0xE+FsAYy406egaGpDf4EfhYwacZXE0x5zhJVLT4Vzuay1vsQwAVCCNo6JFFp6sKljwmJCkcc082uvfdqpJcUz/kCzdswLNei5QKmi1KkXhqSqwnCuGP7yCKhgilGWifPD/v9p5LNI5K3AXpC+SJRsP02MIQLrDSOv7kLoQvPJFvU3wFYSE8Jxfat2UyBS3HbN/97Yz9eHyTI44SZhRFk3HCqh9HnrsDD6pJY3LY1kxIVRwnraTLgGt96C2pKSquZ+mbPkgpOSoZuza0Y1rvKmeQ+Lk/Tou2FP0Ovc6WMBy/dgMG0lZOsD/HfnpcVRuakCd397selrZv3IDqa5rl2QqaBwWwcOXIN/VqmrinGoMFV9f9C8CBlQfzv9vfh1CU7UR9K0MPuPfT2TsjflzFu/drLc+mdE6H0SyI7eu75U5S20CuJkpU+ehnFqs8gvO4jslNookumT6S+d7KPsB1DTHet4IsfxrOKmCimmuwKJCFtbOFWJBfmYxGLQY8/+zS+eP0mFGWn4oe/eR7raGAcTxBmsKMH6cXz8EFTB8KjInHrtg341/uH0cMI8u2XXUbvoI8QGRmKF159B4/9f/+Bw+U9OHS8R2HdBLF/Tk8Jweuv/AKH6kIQEWNNKZtp0w11IDtBh4t2POixn16zUIxg8+ackdrLOd9PHj3kMv/YtiULy1KHUf77309+wxoaDJ7mnGWE/Z+apvkmImPmnCVoTVlHKZQ/AWRXQ8+L1yQiguavecH83qtPY6y5nlIystzc6a+dbqTIDDPpuXQ23iRdLCA2cPFpL4sLpGdahLEPI60tClibkp2MqCTKNWNjEcOCWQRlR/YvvMg1i/7rvxQgey6b+L3s/9UTOH640eqxwy5BR7aVjQktxx4nKKi++C40qlVKAmNqkusCt5EMuwjxiiNr1jgBPMdEB+OHP1xHw+q5lao53h8D/dWegl9gE5/d9CzIr37tEDKL2pGdd3bFtWbOn3urr6NX3qNz+Yj+z+1b1erKkvwkLsLIdMfztV0AXs7XJzML56UAL1Ws0ofEnd3exgawyLgbq6/3DLz4k6ebXv5PDmSu1Hw5qEzEUplwk04JSnxOFlZ97WteB49eMjJ++9vDaG72jaKWlxeDe+9dyknK3Gn6mvbtw+nnnvMIciyhb0s6gRCZzFV/tAuHnnucC7MpmpA/J1bqf78dbRFWJkiYPp+RuHkw2ZnkOj+kQk5Mt1NuVPnss+glBXXMzpdBxTSoDGp/x6dJQbLfX+bGjSimmarzhNy2jUywq1k9/58/VKCyQaq69PHhuCtUejnFuxeNo6TyQwQ2NsPIRe4g/V48+UFILGM8QTZ/ieuYaNrYJFRdfB06zRE+G9oKWJfBeFxJaVlUkkC9edicT/6cn4EsuN7Y3Yjv/ft3yXhZfE7Ay6LME7hoy32IIBsiOyOCE+dQAkuRCpU5kSaa8u6cCxgz+vbb8KMMzs/OG8j+esY5afMnOBjMyZ2tdZMZ8ZOfHsAwJ/v2beUKMade4nC/q15/HQ1vvAGLh/2762SKqE2fd/HFMwZflIQQw+9Iz3cEOs2mLATBvYlnNT0Tnub7OjIN+CL7rWEFcoRU6EtONCJ0L/2U2qdM+IyShkUj0tgiejIMcmI8YK362QBDmSTnrV6ExgMnkEE5kf0CNqx4IcK3UC/e4Vs1NT+DkdG9Jp9Al9hYf2y4Sc0EFMcFhSQVdVTSLPRAPfTHKmEg49BsYhTyKM+tJ5gGrfKe+V6t1dJAW5LAREbjrsl7q1aLFIL0eU6gg2MoZUybD018EYb9orDz2nysX5X+iX+n0w1wAp6qOzrQRdZgJ6NTRylLsr3DjfR4EoNWdxIjBXzig5eK+9mmztjOK4hGIf7ZJTCnFcIcmURJUTouWp1F5pt7U+YTfJd/z2fbxojkM06LthUtgwhl4oun9eIC+vHceWX2pIxxUJK8yIIzTzA1h9RjZPINKcwXBTS75EZ0BmS4vYXsypFa+ypUfQ2MimXF2w5pDIyIhOkSypMm4tTFf3tAM0oWlpZ+P4GKwXOguKs7tZzMdqxe8S6ZCo4T8sNHPovW9mhF0iM1iVymAs47vhvRp45xnHN873XxKTi4+bMuBp+e3oN4pkPdxBSZBUUJk4CLeN/UN2kUE/oDhzow0KdDmR/B3rrj9F+Z+oZT/fvgryXLTAZEuyb+K4EEQSwhYTCnFyiBNGFFC9GXvQGjlmCsXJqM4oJoPPyjn+FPP/03BLBA9fYHh1HX1IkrSnOh6e4jIyYXP3l5N75y8+XISksiuKfGD55+CT/9z2/SINREFko4bv/K9/DMI99HZS3BoWED72uUshg+XKnGn5/5MU6qyV5UneWC3MjiWtQBrL7iq25vXUp8MP7tDvF1mZuClv1B//FKFXbv6XCYVwjo/c0vFKDmD09hjIlStlZNg+Reyh6lGfkhqP1imMZ1NYLJJO3q0xM0cKzwJMQFkeGURFDZOs4V0PRcO8j3r6cJqu4GjHc1URZOZtM0IEymeDydJfhSTSCiV/xzJk4rOows4+ZaBi9YmRgqvkfx9BkKpWx8/rZtMDY2IkzmA4LWTCCOSTQUT7v8cp+B9On6RE9/EwneU99/Bj173lM8tNScB464YeyZIhMQuP1uRna790NZURCJtlPt6Ox0pMrffddCLF+e+omODxao+b38hn4vnfz2PTM/H/7GR7j/oVqkpLoC0L7cy67OcTz20y9e8Hhxulmq5k8JeCEoeL62C8DL+fpkZuG8PgngJaPmHeiOulKQ5fRj6TOQTYO2CEabhpCZsfKrX0U0K7DTtUFKWsRvooGLf19aVlYU7r+/jBW0udPzjRDw2E+Jkf3Ab39uKStXYiklPcIikEn+EU5y26qPcDKgYUydzN0tGL3iInRsX8ro24mOn38IGy1Db7A1GcG5lVA7cCeBl+NkMIjjvbRBUkB1TKsRP5eksjKrf8sMFsHRjPsV6ZF4wnhiIfzzvSa8d7ibentJaRjDkNrAaqMBxUyQmBfDinvzfsQy6lPdoyaVlAkCHsaxCEZPRtDF3sZ6USZIgSrUrL8aLbE0oiQNeCZNQJh8dqSL6QmzkEwYiXucS08YeWYtbWq88Fq9Ykw8G5RuAV7E48W+CTAp7JLIcFaPSGnO4cI2k4vljNRIZfFiA2K8sUaMZJsZGUkZ4EEGJ8c003sl1Ml75W+kdn/wYbsDE0kqqg9+fRny8xNdHpGY8NWJx9E0LCvnH8276ioUXnHFjKqFRhMBPr/H+IwdF1xm/WcQFrzS46tznAvWP3DBanADaMozFa+LLsZgSovjovbyd97EyNE9MNgt7AxcYA3pA1Cwsgg1e8WPwvFwUfyOghmPq+7oRiqTHAR8kcNFRKqgv+xz6AFZaF6YXXnpXCBwIetL2lE48eRLdnKhnTjFOAigSaOplv40h2qgPUKZQlc/FyDW8wzQB8HYHaJUWBUpC4HLkBCmp3iIA3e+meJ11EOfCTENdW4Kg640GT3+iRgMz6EMNRt6nouthZAJ8J8PLUdc3PlH85XnL0BqN0HsLjIIz3x0CKfofWN0iqKVZzdCJsQoDU6F7aLQ7WehybNIYfrT/DJ6ZWxYq6QiRXBcdO7HBPx7hCy75gnj60Gm5tSyaiisq1iC3itO9E6mxnk6rWyCuvdck4vYqFAc+s1v0OvE1LSBL/45JRgousJjBHbiaAPw8RuKKWxsdADHAwFfrC147ZXoj7Yyz/Q8L/HH6umfqirH0U/DPfhiwdVXvEvWa43D6Xd2LUT5yU0IYVS7JCXVsfASMqrD9uqXYWqfWnTbflSx8QbU009numQ6uefrmMSzbVMWxzTx8VIrvhV1jRrldzZmVxSlT2Ym5QzV1Lka5XIczvDrYnqO65wkiMBAIH1//DPmMRFqJ1qC5iuAmBx3/cpUpKUE4qePPYOff/8hJS3p+LFTeJ8A6Z0bl2F4kNxXer889NQ/8N9fvB6hkrrGfd37yJ/w+L99Hn4JjC+nB9hnCLy8+eefUTbjh0OUG+3m+NzRa1Cew4E3H8UpzdwBL9/8TD7jwr3Los/185DExB89coDAkyNovXFdKnL796KPBtq2Ju+uSK5s/ZPSr229C3trxgmS+jO50FUXv2F1EucinJ/Zfco5aSEK003Nf0IxighNM1Q9DTB3tyimyu5AmDT63+RyzjlT5osAGhX045J5TyDlef8/e98B3lZ1t/96yEvee8d2vBM7jhNnkIQAgSSUvcroxyqEUjYto6W7HxRa2tJFoUDLSNl7J0D2Xk7ivVe895ZtWfL//V1ZtiRLtuwM8v2fnO/JQ7/kSrr33HPPPb/3vMNrqAk9NeYRzmp3vnPOW0HvMlfFx4bFGWUvYVCTRe1OhriKrJekX/0K6pPEepH58b/vF2DnwVZENGxB/YFDyjxorbmRyRKweBm0C9aiRzPeqQIgXX0O/esYGPDyy4dx5GiLmSH7LPbdQw9l2dwAPN5xZOvz+pEaMvpe5Zxj7mNnevwZ4OXk9L6Kc+230bQ0xz5d2xng5XS9MyfgvE428BJRvhUDh3abpe/IaQsNNpaU9EAfsh64AhEvkoVkugSyYJmsdVNrL54uZWX2Pagh1N0++ODCk27YpcTPbttm9dSdyTxZ/vOfw9PfwCpqKShAPhe64g7fqGuGxnGA8gdn9P/mdnQGmHtQqPTcMRxaiF5GTJu2dNJMbuPCrYHFQd769WZGkf3UAPfSfC2MwIuuxz5wyvS7XRhPOJfgS0hKilXgQkz9nn4lBy2jNHYlPYRGArLTdtGSAO4O9iCh/igSiveglakB4ntgtXEtFEiWk7BfTMEXOfZYyiIUp53DhfDMNPrufOknxnkjg74LqYkB8PYyjLMT1YYJZm3aUYNPvjo2trg7WcCLtXOWSxHJlYAwIksKD3GnxtyTRaCaNF16KowyY4yfFSPRfpoOqkgTtrnwOO88uFx9tdk9F2bZH57ewzhU88VVcrIv7rt3kU1gq/Sbb1BK6cJ0DEyjV63CXP6+PfdJYbsMvg1nt91ml6PXBcBZ/wgLkMljArezSHzfgZ4QFkBDhcRi0tPItEU3dOCct5/nWB5fBMsyktld0AXTG6mvC221E4u+hLOzULr9ABfJTMngbrobWRHdfdypj6V54uLLzRajlvckOtQF7fRJ6TVZsNq6bwLKXfw9pqOEMjFBzyeJ92rocA269+ZAU9vI4sBw70QyIZG2DhoVtM2UxpgonUS6J/4s9vS9fJfIb0S+1Dua9CR/p3J3hYs/gbioJEQumE+mix/2ZbdZZcYIm+PqS2bb9PDq4bzVPUnMuT3Psbe3NxmOM9/REvngcy8yMr2UKSLHCjHc3EDwTaOkxgigLH4iYsTpShqHNdmVPec4dgznQj8fF0Wq4G2SNCXyAf/kZITSSDOEJumufE/KPdpB89t3yRY0ZUNK0k1hdTeyKAUbqRGGztRnEEym6XUJ3aj+4G2rz2o3pQRVKVehutP68+TiNIygo++ir5YJMkoj8OPjjE4ywpzJYBw4+0bFu6uB80g1Ewcl7cey2QJfUhLLkD53B69jnNUq6Vh1VfcSGHEgO2D83bC0cR+iSw9Bz2LYtPX7BmL3mtu4QWAu65P5Q/74cONnKU2HNZTh5Rd3McWIkhQrr5zgoWo452yivwZTZShhEcDNEjhV8z0eMNho1ZjYix4tqvA4dC65Hp00kxf5k0w9ArxEE2B98u8v4M8EXhRZ28F92L7/CG5ZmYk+AjlirvuTlz7Eb79/BdSUpgno/cM/rcd/Hr2R7A3GOM9JxerrH8a7Lz6J3SxiP99pLl8+mcDLJStCcdHZ0XYDtlOPSNtHbNhUjs82VJlJx4hB4abFNNDdRl8Xkw2mfEoD2zvHAT6XZZegwyeJY9MRG3c0TAAlg8h2WTgvmGN14s2PCnNT1jbGpDphMLmP9MKbIIyjMGFa6ZnWy+fNRCck82l8zPTDAETGVspnWO3KNVVVCX1PzMezq58/4lcsgpcjzZTJ7umVOHL+rhNBFyeCL+rgYETR6yWBqZUenP/sBdLtvS8bt1bik69rMMj1Zx4joRd1bEJnGYFXiyZrEz/OjRKi4HT2ZegLm0MZJeDNd+Btl8xCcoxhLVxU1IJXXj1KdrT5+uLBBzKRmBhk9/vI3vOf6rhhPcMqhj+0mXR0BniZqgdn9u8qAt3fRtPOnplk7FSc6xng5VT08nH8Rg0N2H721EuUfgwQJVbhdz9dx53xMMjfP/bkS9S39mJhRjJ++eBNEybikwm8BJczbjhnN4ZMEhJkseHPxU5ssAcR+vGI14y77kIkZTiTtV6aeb344kFO1pPHvxm/Q6QsDz6YRWOyk4tqNtIfIPvFFyfE7BnPY86NNyJm2TKl7xWPBOqQW5msIU2jH0IZI6YHV2Sg+4YVTDmZuDB1HyLl2CFhbIc+Y0SHW7kAFUHSrqefRg9ZLpYtikVsH+nynYxQtYz/s3eoJdCoLe78860WR+8zhWJbdjNM2NbK135nWQhWZgYp6QrVu3LhvfEjdNJPYtjKgluOl91AP9JnTSVHxvPrCopA4dlXoHGQaRrT1OmbXqMrd0clTSOD8bmpiYE0VqaxqR0+H9b6SdhKpUxV+OCLKlTVnpz0CEvGi733Sxbk3Cij9IrSkTAPSpQ8yIrxVoo5zYcfwnnzZjjaoB/pyXByYoqRC0FC0/bhh/n4igst04/JM3z3XfOQlja5Z0AZf6+Evi/TGX/hNPRNo/RIdu4ma0Naeio4/Jkml+b3QDd4BdxUK+1asH3J+fILAp66UfDlGJMWqiQW00pbvmsrwr78nIWQ4fdECqah30PXkAPC5qWgZMfhCZ/yio6Ch4oR8uV1kAQjcl7G5l/XS77PlCUmjVmpjiMCVOjjeO+0M2L6kutZYNBjQ1fOxKGDpeg5kM/iz7oEs5uypf5aPk9WpOzpfD5Mi/6pxl1ruwYVlGM5UkbhRFbEQEAcejwixpgRN10dj2+4UK9vsq6b/+n98xm9TGmbBSAqjJPbbr8H698Rw8OZsRR1uj78zzUpeOnFvym0+5kUIO9+UkTT0iYFWJV5yqmTrK86Uv8rC2gk3knz5hEEkM00fJxsF0mJEQabMPRsnifHqIogUsiCBfBn+tPr4VGo5a73iAVwOKtvEKrPy1FcN4XT/ejNdXWgqejBNxDjykQiK5Km+MsuYyb1Irz6fjHaLcAL+YrQzqMYOrhlws6/P8GX4UVXoFATyLSiXkV2NlkT0Ck5XmRH4xsPzs46XPadL8jwMLzfPMhUEOAlv2Ahk8YWm0m7PCjRuaT0E+hrjADQ+K8VLr8Epf5JyvMqwIaAK4N8cc68OXAAACAASURBVMVFexI0UyneMLaaCwvcsPYjGDi6W4l2liaAiy3wJdixE6q+VjJOx7/TPS4RncM0RdYOKjIR/cW30SfGALxksdgXj5eHHv89Xv7zrxST0q+27UddZTmuyEwka7QdQVzLPfX2Btzz3QswOyYMbUw9+vk/38Nf77tGORnX0Ahced9TeOXvj7No78GWg1xPSCITr1fayQJeEqPVuO/6pCkDEKaaR+z596GhYXq77KN3lDkQsSiW5qzllLbSMNvY2jspZeP6w8h2UdHEuj/9QkUS7cNxmUuArYSm1KbA8zmLg6CnMbotFmJ0mCtTyHRka5kDBKKS89DT44cgjJMwYVrqDUwYzmGS8pZIibuknE2nVTLhpa+O5rXHaid8zDtjEcGhYcxPkGfFER05OdBbbK4JABN49tkIIVsumOzVIAK3U71P7Tm/7NxGrH+/BC0EnY9W0rCY82LgSDvmNX6NLpNkMVla+dGrRTUqIRyhu67LZbfDMywCt15Eg/BA8zn9j3/ahaoqGrabzKMLMkXGnHbKWS/SD4PDG5h0tJ2so4lrgTPAiz0jZfrHqPi8fhtNy3fO6drOAC+n650ZPa8/Pv82Fs9PwYrF6fj0q93YR/f7xx+9Dd9/8Pe4f93VmJc6Gz/69bP47qXnYgkTN0zbyQJe/GuPwIXa64Ge8QJA0O5IgiH+Jjt6ci6J11yDBAIFky2OhVHx0ksHkZMzeSKS8dq8vFzw4x9nISzs5D5YQ9yR2PmHP6Cf/gDWmm98PBaRyWP0TREzx0NPPaX4rmhZdBVLKosDYwwfvhwN8daLDImP9erPRJNrEDJFXsQXrixQK3bsQNHb3Km0kHTIAv1s0k3d+d/cd99V4lOHJ0mwmWx4y8s7lYWwmpIl09bGnZk/vppLo1FzoMidMoJf/yCFcchqRVLVRSbAkd89j/7d2eilREwWvpa1pg8X3QKGWLJe5Pe0jNPOO+ca1HuGH7eHgnyfgDDzWGCmMUZ3DpkwIq+wF4Tp5a7Wl5ursXk3WQRWSDynkvFi75QkO08Jg8ewvPhreOoHoXanYR8lS8KKkWaMA9U//DDcOVZNm7DLfvfkzgm7UTGzPPHww0vt0pGXb92KEoI+OpOF8VTnLsVl5m23TXpf+gY+oX/IJl7A+La+Xq+Gs+6nLATsB1rfI4NhK40A67kjL3IxW27QzmSNXPTm80B2kVKEy869PHaSdOQQGqkk47TQl8GyzV6eiQ6at3bQkNeDsjAvRg5LnztFxEB79g3otkj/CfblfeE9a+6aWmYnO69rLuzBcGsBunYdhYY+NEZ2i7U+Vumd4d7rg9JySiisxUsTTEpnapg9z4MwMbxmzULlSBiK+kLQOUAAy+KUhcmwIiuABqD1ViOoE2hQeO/taWNGisIiO5zTiK276vHfV59GTtlc6jHsv5dm16zvRjoTwi685F5kzgvCvLlBiI+z79rke2TH/N9vFCi0f5mzJKmpoUnmLxZvnKajHBsw368Nmir65jCG1t7oWdNzVHMsRJOx5s+kGHuZRvJ5KceawiPhSDP0foIwGm+fMVD+YaZx+RIf+PcnlD/WTZ7SId8V2bAX/fu3EvimyTJ9XwR8Mb6HPcLDsfyRR+BClo0kY71CIMwUfFGTieKT/TZTCs1TdOR79cFRZHVdhm172+0GzX0ZjZxCA3xTz5fMeblITtxH/xAtARIxdHbg97kwWnodmlrNY9UXNR1EbOkB6EcNfsVrZoQvmy5XL3y59EaygTTo7dUiJsJDYSPIpoEtDzK5Bs+RbvhVbEV/uUHGa9qkQO8ZZb6Yvs+4tYIop2ZoCcw5EcRWxaejpaGXMiwDaKPm3Ouy6BxoU5YrBrECNok32Stvv4lrL13FOPIE/PqP/8Jlq1ciwUuPyoJiAtzx+Gx/EQb4Q7ddcR7e+nIXTZN7cNmSNOj5fvQNDcF1D/8Jb77wFCrp9bOLMrNOgkttlABLOxnAi8xjj9yURJP7UyMX3LX3GN75qNQs/cvVcRjnOe+Bc+e4/5Zcb15hiyKDluboxfXfqpvJHmRyzmw1So8ZnmGRIhXTw0jmwRCmJUpqWK+Fh5nlPY+kNE9HAKih1TqQLO9aD20HvHprGVNdTiZMI9QqHRIZN23Nx8jaHC1/10cfmbI92ejnesO0uZIxPRKZin4mWwWRqZY4yxsDlJX3ycabqSsvP+RO5rg6gj5aBGddKDsK5jwRnJ4O/7iZGSBXU1L9D673Sho1nFfMpb2JunKEVu9UzkvARHmO3UbXF8bzD4oIxE3PPoHgsInS5L17a/H+B4VkOJqDs7/59VmMlT/xrB1b/W769xrtqxw8BQR9ze/BGeDFnt6b/jEqpmN9G03LtK3TtZ0BXk7XO2PlvF58/TO+nIbww5svw9obHsE3b/9JOWrDlv1cTFbhx3d+1+xTJwN48Wqvgtfej9DfaZADiawomi+3EN+Jco9ImmqmkxY52cJTFrUvv3wI+/aZp6rYui0eXBQ88MBCzJp18nXHeSwqq2lYam3hLV4HZ1Fi5McXoLEV8fh6JkcMsXIX0KWLdHHnOXOhum0ZWjyauINp/aqc9R6YM7AA17h7wJWgi5YyJQF8+miKaNkSrrwSiUw8MC6gj+3bh0IyD4YoP5pJc+MLX9JnAhkBa1qUvbOhHDuPUkpgseN72dlhWH1W+Fhh3k3/gS2/fAHeB3fxHDpJ69Yp8dRaVmqygJVdzMBA+rFMIgUqn38uKuKzZhwPau26BYQRKdJ8RtwmzfYjCONidRwKgHToaANBzRqmcNjeST4dgRcvXT/WlH4Kh5rxcSL9LfprL3rseKlJXb/8EgRddwUBC3OJ0oYNJfj0s4oJKS3rbp9L87sou4dSJWOmiz74QAEn7G2BXCRmMllJij7LptP1sgj5PXekzOmp+qHz+WxcPK0iVrCCP1a14L+Map6qeE4oOYKUjR/A5RiTMkwkQAK+BC6Yh/xvDkw417DkaGV81xUZ0ty8CW4IACPPpurCG9HhHjEmbfClqbYH70d9++TsAPG38Oo5hlQverdUHWRRN7XBuLOecicEkaXhYjVe2njiIs8LovzP2nysyNd4P8KYQhXJ5Cs/Lu7F/+CvL2WT1WL9uVizMoKpc238zdG4XYse+v4NScggKJKd04xNW48x+lVADBaL259HbnnacQMvS86+U/lFkWMJC2z54jBkpAUrvhi23jkiI/nLC4dQyfS2Zqao1NX3KuwB2TE3tqx0f1Lp6amgpeSgp4rSHpoWt7aQaTQxKcVyUMg0F6PEzxqSy6bTNJyLcliAGyVyLiysnOZnAvMykJiShKslhpa+LyI7eoXeU7mVtseG90AzPHa9jYFRXxIZp3NjPRnLzLhgblvP+8EPEMmCzdhKKgR8KUKbGICyRTbvQm+2uXebjucnKTItGdcgv0WNxFgPsqLEC2hqIFG+U4q25Hg/XoPBEyg13hGLsihlGiSoaSKdKi45HyVlZFmZmHq606j+4pIPMVhK7yeCZVqCowKQyng6kHoe8v1TeT7eBE6FrTb5+QT3l8Elfws09FiZrPUQ4BCPC1Mg3t1hiOmMDuh2oRFu/cSCQgA3lyt/gD43msETdJuT7EcD4z688tZ7PG8tVixKx0/uvR4tzW244Ye/xfPrLsSwswv+8MEONNDsNcDTA9+n/4sDWTXvHCxAVVs3geN2yk2DMD9jHryD0hVJ4ckEXn54dSwykoOnM3RnfKzMy888u18xZDZt80YOI7KvxOwZam3vJyO1a4zt4nbhzWjSk+XqJu87R76/x5lIwloqpqfKUjJ0dSNOU3puyW+HBvJ9SZCyzgaLz3h+AsKoCcJ4EoTx66tGjNcAJbCUp9kyvBv94Ajng5ayMnRW1Sh+Q6agnldGlmJebTzRJG6ABJAtJ6yXEYsABQfOAb7cwHAe9YCSrxewXBhXoZy7A1NT4SPAjB3M304apT/9wmHsLSH4bCOFbLH2IBzKssnwJLjITTTTFs6o6FjKoUX6nnH77VYZUk88sQ21lCKads/qC2bh0ksTTgmjynJw0tYYmqEXmXRUwfE1znI6A7zM+DGe9IOqopnVJsd7NlpuwJ6u7QzwcrreGZPzKiqrwbqHnmY6RSD+88xPuBgYwA8e+RPef+m3ylH7Dxfhwy934MnH1pldzYkGXtwGOhCw9z301XOhRBAhlN4G0SyqXbiQsmS0BFCzvuCOOyaNjZaX7htvHMX27XV23QWJcPzRjxYiJsa6Ia1dX2LnQa18QR6gsa2tgjKBNO0EOswbF9fiAL//t79FT1s7QRfG740m+jj94E60pCUjYGQfF2vWi9NA9sMFOsaKOqcqL0tFxsFi1pLt4srdjWUEezwsvA26CNAcfest9HJ3ZDq+G6ZdEX/FFZhNZpIs7KU1U2rwzPp8sl7MqdrCevnNnSnw8Rpn8Miuxu63tiG1aDtcao9xoUN/DK4q+gnCCMXUiSweby66rUmOjOfQEToLhcsvRdMA6f3HIT2yvL2ySyPJCJkEYDJozJsY58ddeJoYchHU2NxDWRELmMLOKT0TTkfgZW3dJngXcWFmo/DRBIVh5/Ib0K91YFHioyQpiV9MEOOO33g9F41NA0oBY9xQi+Bu8U8eXTptCnANwb98jj+dnQlbco8COT9kkPniZiF/0gxugoPLZ5xPxsfdyAjBDO2jvI8hdj69hsMKilvw7OuFaD0rFAXqyX1hZFwv/+Df0B3MgZqmu6ZUdbdIxtZSv1NbNO4D4+3pxPhZmm4unk8vpnwMje56+9FgV4maDYmC/vyb0Nmrp2kmI9KDXFDdbB10USjtwz3waS+DriwHAS4Eob1IhbajbneiSXcQiw83J4NPlBSKecUETAl+WjYXlSPmM6ZdJKvG5sjn3YPxpeFLliCCi3Yx7Dady3fsq8VHX1YoXh7W2pVrI7F5Vy06TTw5DCa2esU7YSFBjNJKc1+dEw28mJ6XgI7LloQii4kyUREGHwbT63nzw0J89k0Nqiijkhhay1opgs9HOgFb0x1ymT88NfVw76yCriJPkRvojE7Goz8u80wwjeQl9cTowzSdwSp9Vk4DkkYrYI2A1ksC/JHAFLtQgiVevF8iz3ztizIcKplImXckihGZ/xG6i82TBgV8mRPjifizlyCL72bLwqy0ogMvk/mibW2A+sD70HCXW5qwSwY4l/fyfmqj01Hiu3QsHSYpVk25kSQs2WE6w+8S8GVpZiDnIg9UHtNg/ryDiAg/xF8YZxr0D/hg9+5b6LsxrPymmLuLhGhpRw7mNx6B1szk1gGeIb4ouuFeVLeMp49Z63vVCKVXrfswWMTvMJFIT3afhEXTR6DLOE70SYvhQn8NdfFuDHRPBL6EqeYayBS+hx9CzOxQpBBoCgxQj7EPTX9riEboFWQNDpD9MMznd4TeVRoyerqZTDbINZ5faDCCY8LhxGdUzI2b9d4obHMmK2PgpAEv59GI+GoWxfYU7dMZ37aOzclvwsuv55sxXoMGq5HYuYvsafMiP5dsl85Rtosq81x0hy9QpI/JZLuU1ZDtYqEqC/AjA5SGtdVWzHZtnU8g2SYS4FRjp5xP1HOJ/kM4J34AvaXFlBHVGRigVnRN/Xw/tpEhqePGWi8lPb2jXkKugZRCRVAu1zn+LAtmkpHoC31LIzTH+N6xmKjcyW5Rk7VmjUmuMBajoxEkTJi5c+FJbxhr91OY5k+/mI0vD7ROmg7mNDKMixx3YaR23O9F5rvYMHeEBxnGtrQkerjF0UvO8rc2bCjD19/wHWIi+5NEsMf/9yzKw04Nq8ryfltLOjoDvJyIJ3rid6gKviXghe/x07WdAV5O1ztj5bxefXcjUznq8NAPr1WkRkbgReRHH2/Yqfi/mLYTCbw4Dw8gLPtD9JSVMlXEkT4u7vBlao21XT0fsicWMl5Z5DCTtfffz8VXZBrY02SifpBJK3FxE+mM9nx+OsfoqDPY9cwz6BZzMyvNg07zyySWl6ZnxlZFsCSf0qAivv37Rl9Ezjyu66c/Qw/fzt76Bu5I50HjZL46COYLOp4LYunHJYOZ8NV5YSflShrKlixbIl9sCfRlsfayHebLPF8YN/v3j8WGTuea5dgAvqTnfu978Bo1Cn7j8zLsyWufkBpx2cpwrCHrxfQF+y8mUVXmNSCr5SB8ubAdIddbaggFhOEflZjC8i+U9YONNfqQixuKGDldTS8J093O6V6HrePltniRlZCR6sd10TAKucsjHgCTpWIYv+t0A17mdBVjbgH9F0zkfmbXzZVb9tpbUK6dKMdrZoR0a3MfiyBX/uHuGX2ZnHlvrrkqHkuW0FCWHTVd34xjBw8ijybUxshae+6ZX1ISFnDn3Qi+6LirrdExvcPF3MxWN7QYrk7XTasYKKV84vn/5isF9AiBkFYytUrdzE2sjeeoIjAoeGNQYT5mbXgfLg1tcCeV35ThHZaVjrxtRzDEcS1jSENTaSk23UOCEUBKfm3++KI0gPI6FUEO1fk3QBsSR6BLhbKGiekQbkwp8SLY4lpfjOEaUu15L0NpreMSOKCkoU3VHEmhC9IHwN3JHFQSE+EmSSWygvPMimQMPSPMVR4eCODOaAQT2ULpFTBZofX3f2ejkIbnFox35fTiSbX38xrBkfwuxWh7mPNfC3+7lhKMQTIWEshCiCfoZwpknEzgxdhnMvdIAkkW/QTmMAUtPNwbew/W44/PHUZ5da9VcFeYMxcsD2VRZH2C4jQNN3qTePfSjLW+iMlRxxQpkvi4zIqi2a+N9+FU91H+vZudm8+fNXoSmX4mkvPnLHpJKKwk2e1OSEA4mUlBNEj/aFcztueas8OC2vLhsH8j/dcmMnRUZP5d+tSvsWBRgtV7XsrUr09+8zSaj+QppyBSLGHYyHwsBV3zgutR2WZeEAvzRUAUYaJM1twIYCXHS6HlSPmpi8Ka9PPtwZpVnxKob1cAHvFFEjB45+412LUviCxIA+NEgCl3eqb9GNsJTlYpPyNgaaCfK0FzB5RmrEJhxHwyLq2fg6euEwHlmyndIINpqsgxi4sQs+V+nTN6Uy9AcX+w4iezxuUABkvYz/wuJ44bBTwl201AMgFfwleejWufvIfsK+sSY5HeVdF3av/+Kgwe2oLB1jbKK5lGxnSoQYIvIqNyp6TX089H+Xu5lxr6+bXNWoI+r3C0dhnmkxMpNYoJd8d91yVR+mV9nrRnHE/3mBdezsahnPHCTI1ehJR8gpRwJ7O1ZXNrP8qYSCXyMVVEHDSLrlJMdD3VjEMn46W1Y6KXz53fS1TkUi+9WYD65qnZasZz9yZ7xp/PdFWt/Z+JoFTphzelQNXPuZcBCy1kqohE3QjCiF9TMz35jOs6GYOSViaMYu8FS9HeNhGs8SXwlBzlji76DJr63Mh5yrPoQ5aJKevFWt/LcZ4EYYIpKw/h+k4dFDT23D/x3H58tKNF2UCYrPkTjMqM5rvm8IdM1WxS1nWJUZ6URFlsZvAaF/34xwp72rQuEAD+D3/YyY0ec+bktd9NwsqVpw7ks7xGPSrItlsPF1eDxcEZ4GW6T699x6vy7LOQsO/b7D9KyzTH07WdAV5O1zszel7b9hzF4swUygeYhNHZg5vv+x0+fe1JXHDdQ/j6rT8qR32+aS8pmLV4gJ4vpu1EAS9LL7kH0QWfo6coH1H0cQmnsZgtXavsnorviTHlx1r3ykvn3XdzsWmTeZyerVsh1OT7adYYH89IQDsjUY/nthZ9+SXKP/2UTALrxnwLf/QjhLJoNDYtU2W2PvE7HCHzRGNyfo7XXY+mFWePLaZDhgm8uHBHZNS7IoT9MHsUdJHv8hhxR8gXPTj2xYYJMdGufn5Y8YtfTGAIWF5n3aFDKGLcr6bRXBttb3+4kVWTvm4dgvjyVFgvLF47LLxeZFf5N3ek0jByfFHZ0aHB3/+xD3X0HsgYLEcy2S+60R1T+W3xzohhEdar0XEcC9NCdsWtn1V1+lmoSltJQER8SngMC5IBGgrKrutka2YpdiXOVnZ25WNSCMhnjFp/Magd4pfWN8oOLXX+9CUK5lj25gJHzFFlQW0rOvZ0Al58KMdZXfAxY69s3+OarFXIDmJ8uQV7SJgIR442od8ksUb6WIrHFcvCWST70cDXgzGoaoTSJDvA30NZRNkDxtQzsjaHKVzT8Rzy5TjLvPNOJaVhYGgPdSPvEqAbRwxGSBPH0AO8r7PsHcKoqOrAc6/lmRlr6gmWNCwPQ7WFsa+YI7q7OowxOs7d+Aa6c44iiB44ztxdNW40uoeHEWh1JOulWlksD5n0a2TWPLQWlig719JkYeovWvjgUETe+kMcrR4f6OLFqB7uhncLjbHLcynPa2OymaGICiKhxz3EPtBFphABXTycmDVt0YYoU5BUon4LlooUcCouvC+5ZS0Szl4KL/5ve+bTqmNdeP613AnpMcafXXN2KA4eaaBkr52La/pbWYy5NecYTHmNz/upAF5Mu8TNjdIvmuUepda8pn7AMJ6tjKbFGexPAgL2sDdEbhDrq0EavWAcaksw1Nk5rYh105+X92EhJ6R2K2wXFe/zfN5sFyuyAWcabQbTtL4Y4TjY4UswkI+PToOgvW8oBZK15rF8LZrDMnHLhdHITJ4YZV3HJL0df/sX8vMbOE8Pku1B75VRHEqfvBSFqjSr4EYimS+Vx/pser7ERLgryU7FlZR28R1gkB0ZzElXnLUD3j5koXDDwygfamkNwWdfXMzEJPNibfVICZa2HQGdbxTgxTjWtEwG3HvJXWjsnYhYBmqq4FZIaVHrzHZeXULC0RJ/HnbkiQ8Nn1HOA6HuAzirbzs0nIPlfSOAi6WZduSNt+G7d61l+pbhGTXGmReQWfTN3iaUkCkkXevc04zIaibIlE800rd6E1ffhEHfCCWt6UQBL+dd8SB+Ql+XkOCZJ4XZPUGPHlhV3YG/v3hkDJR1ctAjvPorBA/XK1I949wk/ZZT0KL4ADm6Uiq59la0agxFf0oCvV2qJrJdZtNc+cF16QqDt6GpF/9+Kx/HGuwHUtScM8Jpml5K7yB7WwjTju66ORWh9C4RCXM3gZdmAWGOHjWAMXy2TBnJAmr2ufpAGypsF+sJlbE00ffuZ9AB/V4sWS8e9G2T9bY9c7jyXqJ0Uby7AtLm4YuSEbx/QDuB0Wx5rWqukeZSsuFCqbJfRyl8cjcihtYZXmrr4JywspdyU9KT61XT9vbbedizt46JYeMgTwBlr7/65dIxHzB7+/lEHqfV71IMd1UuXWeAlxPZsSbfpcppPUnfPPnXatNPvjJiphd2BniZac+dos/9+Df/xMql83Dp6mX4ZschfLxxF/7++H249+d/wy3fXYsF6YnK/7712gtpIpZgdlYnCni5JjkFrlV5iCDy7UWhp62JXsWF4OKHHoIvmR62mrxE33knB1u21NqluxXQ5Z57MpCcHHpKelwMcnf/8Y/Q2og7jaKj/Fz61pjuEOdSavH1y6+g12SL2ZESir5f/hpdJqwfZ1Kdg3SUHDFlIkJ2MU1AF7k4BxbDmsc3wJ0Gb5ZMoqRrr0UCaZz2NImcznnvPbTJTomFOa89n5djJK0pmgaPr39egQMFHWaFpvz75eeEY/VSc9bLPsoS3n23QDEWjNa3IquSxo5146akwWRJJST4K+NH0gk6ySro6JJdH5ryWoAwukWL0XXBxWgfoFSA/dTYrEEDWRqTAS+ir/ehubPsXIsWTsOMw07KCWQHdYQmDkMEb0QfL+Zw4swv0bFCY+/l3w1QouHP3VNjhOyIGD2a0OdPJ+DlwoZN8Mw7apXOLPemLywK2xZfx6Jp4k5WY2MPyssprbL4pziaoYaTCWF8tqUGlJ1bb7Jh4mj0F81kFom2jgrzVHarLSOtjeOqMT8fua+/jkGOQXubD/1EMu5YB0fPV+DsYl586LQ0aHX8vt1sl2N1Xfjnq3kcXxMZJjpKI48tDUO9SbqKSIa6KQcytvDGGiR8uh699LAK4Rh14GLf6P8x++xM5O86go528wW8G3elQ6KCUZ0zbtQpfTc7ygP9i69Ad1CKAsZ4t5dTileA4WPlZsbk8ttkm3MRTdDFYH8xeWO1Fqjzh6ez7VQgYZzIHwES3bhz7hzLyM/gBPS6h1H+E4zrLrMd92ztx9/5uAi7DzabFd1SXAgboJ2ga0y4G47kdTDhZmK/hxHAy8oIHANuThXw4sR5o58SjcamPsZ7a1FSRS8aPtMCzoocSCRhMk/IbCEpYXNI7bf2zFj2h4+XM75DOcayRRFKYSdJTQ0squqys9FeVGSQp07h92D6na0EXUp4FpxyJrRYDr5wC7nUhIM4n9YOuaPZNxHCGOjmbrup8b3xeJeQUPSfcwt6tQZw4qY1UVjMXUFj2pCO76+dfPdVHy5AOdkFwprqH90Nd1Z7oSbtWnoU2R6aBuaLOfDmSfZAMllRtTTubGwdVEAKmcTFF0bmaWcCL7Nj2/DdK+gRNmyefvH1N5ez4CbEYpKaFxeiwkPYCX0xo34tXgaVGecgPzprzONFQM7w9mxo8/ZAy5SzmTTXhLnQzFnF59KN8dROqK9nwhhxYRd+uXd7MTyLd4z56Fh+v17lhll3PoBrblhIVoYzshkF/s2+FtQ0TSzmVb0tCCv/Ct1VU29GjTCtDWtuwoBHKLZ+8gxyu89i3vsMgwa0nUj33oPnn/0jFqeHTNuXaCZ9avzM6+/mYScBKCNgFdGbA93R7ZhHWbB49RhbM83Ry6rIuCMC6LrqOrSqIhSzb7kfKso4W01kjsbP3HVjEr9nfM0o/jD/fjMfFRyf9jYJ5hSz5qKKqX22jN8ZxCS0u29NJXA0HljQ39WFLQxE6CwthYZefFoJQxhFob0WLkVxSbvNTSj53vQYNwyVUjbIDT7T5kjGtR+9XqbjJSWbUTml7ajr4JrIn5LF0Hg0OoeieYRznwXzRSSWc+lRJGC0tETKA5fr6awPnQAAIABJREFUjqBt/+4JMnjT8xIZ8XwyWV0J9BibPDeyMdfebv5+uPMH8zBvXui0rsHe+2fvcYPD9KjDQTz26Je456EShIbZQTe18uWNDXo8+4c78AzZ8mfaeA+oaAj+bTRtxslXR8z0us4ALzPtuVP0uYamNvz0yRepce7jBOimJBrFRIWSLl2PR/73ecVsd+WSeXjk7usnnNGJAF5WdL2OOxKi4c1d4UkneC7+FpDpEkb682TNALocs3td+uCDC5GUdGqYLgIK7Xv+ebRy595aE233sp/9DGqi+mMvFGr9P/rb37jjba6nd1qzFi2XXDqWSGE8Xq1rQaLDEQS66Cb059CX+Wj5bDv8B6khd/QYK4LdAgOxgt4urlbMSCfr68LPPkPVpk3T8t4w/b4omiMHrLoI/3irZALrxV1hvcyhRtd8x/0FRoJLOpWAHT7Q4OzWvXAvLSIAZGAxzOGiyo8UVWOBL8VbJym3nQRgBIQZoFxBQBjfhXPhnZWBu77eh/vv/AGN5xjdS227yEK0LFQGhcnChZj4VsiiVgpdiWB0pSRty+7NiA6fRbAgVoneHKCWWajKkuoRQIZLbV0FF2Up+PirjXCjSaKnV5jCdpHtR2GEaPkZSdTxoUGtK3d6hEG//etnkXuMZpRO5glQdk8Dui6kRx3BTOOkjb+T1lWI1DxKjOgzYa058HwPXHALKocnnqf0dU5uM3pGdfLGz6u4wFqQGaIY8E7WhDEklPqocLUCxMh/w7kzGUEwRknzGS0QW0pKcISx6tMBX9xCXTDvbi94B4/r3KWu0g+SDeNmntZm6xwlnea51/gMTWKSPMxdzGqasDY5OJHpNAq6WChLlm15D0PZh5RdyzCCCiMEX9zpFeAUGAxXGrcWHyTDwcJ0OnT+XHRXVtN03LBzGUx5Uc+QIyJiQuCRlom+fMqUmIZijK01vQY/P0qOIgi6ONvnkxE47EfQZXJtvBgwFrc6oTdsDrq94iiVcDFLeXnsnnm8h+Z+LpPde/GO+dPzBwnmDCr9It4bDWSOtZAiL/cpmnr/ID/K2/K6rUo5li8KUZ5T8Z45FcDLCCeR5rZ+xdBXgNs2sjeMaShynYJxyHh25zl5MyXvfEqMpvLOlePPWx6O88+O5rw3MR5a3h+9LS2oo+yunn9k/E+V+CUyzByRp1phu7jx3zJ47iIDtKeVl9Wjt6aaYVH+UFGzphl2JqA8pIw5kXm6rr0ejW7mzLGrCaCfuyBYAV8Kv9mMTX97GfUEL6UulPvcw/ss4Isu4wLkDTGtawr/rYRYd1RToiFgSVKMGo4EV6pY7IrpusytMs/KnCyMQym4XTl/+xIE/9EPD8Hds4iXOf4M1NTE4avN53KMDUHt5sSNJX/KYFwwuyYHqRW7obNgCQw7uWDfFXehvtsJHg5k/tRsR19xwZSmp5Z9q5hjE5gLOncNIleeSzmdH5Lo1SLrn3wyL954lwlQ7YYiOK5lO4aKc1mITtT1yW1ziIqH4+rvonvEBR0mAK/V9UVvM0KKv0RP7cQENcvj9WT4OF14KzZ+9SqOdB4f8LI6Lhufv/+CXUl29oxDe45pbetjhPR+rmsNOy5+2ka4ZH/CkAZHpoGNp93IGBG2Sw83pVRzl6I3bvkYsCbeLqXV/RMS1+JpTPvA7Qa2i2mTtKP/vF3AxCPr7BJr5y0m/bERlECX2w/Y+DHx7f7bxsGXArKnKxm6MEJgU+YILYFZTUcHVNyckySi3OxKtHSQ2WVj+lfz3RPnyDUVDb4tF85qyg7FVNce1ks/N6LyuelSzTnRFBd2pf+Zk18ghkJno8EpGE2OIRjg85vKVBhfb4OcfkmqD647f5YSprH3uefQwQ2WyVrCpZdi9po1ZmPqxRcPcf3RqkhSjS2Jv3HPPZnT9pWzZ4xN5xiN9g362/0F9z6cfwZ4mU7H2XGsKttcOm7HR07IIVrKjE/XdgZ4OV3vzAk4r/vuuw8F//0Agd4z2w1p7e6EOtIf68h8mKrNuflmxPC4yV4A770n8qIau0AXI9MlKcm+l8pU52fPv1ft2oUCmoTaMqhNYxJLND0RjNdYz8XWW8Uswp5/juaa4ztqDpJM9NjP0UoaqGW7lu73/ihHlQv7gfR3Y3OgiV/rUx8wvrMZYpgZomdKCReS0pIY+Zxwzjn2XMKEYxpIc80n+2WgeWaTnx9f7HVx52JPuY5mueYrg8tXhuECsl6MO6by4yI5+uvf9qJhlNYrMpazOw8itDIHepoRSpGfOT/YzODTeNKyKFEAGMo8HDIXEniZh9tf+xx/+smd6HX1U1gMoqPXEEgRMEXKJymGhLauIiIghYKAL/1iWscFmxRcvb1iZDesFAwSgTs03I9PNnyF+2//Hlk0/dSGDyg7p7ITLibRUmA2tmjoWdHKwk2DAS5WJGqy/OgrKKhg8eI+M93ooKYNWWnOWL7qLqUIGbBifjrVDfbX0Q8h9z0MN9vedq5esgaH/NKsRqm2MsWlxMruWjRTWKKj7S/CTc9TgBiReInXR1SYWkmXCQv2hKqvGUdfew0DZJBNtSiU+z6sL4Jn+Ajm30MJTLDhWdINR8MFD9hVELSwyH725Ryyoqbe2R7iObaeG4EqKYSsRI0FtTdhzgf/QQ+BEkEVYjmG9Fwsin9u6Pw0NBeVoomJJqZmjiovb0QmhKEyuxhRkT48dy1cBpma0sHnjoXwsIf/hAJBrlGS3H2ihgi62JcM40dAzdtpnJlkOWacCM5KTHwYjXLrhv3xDtNvuiwMsuUzCfRdufcWMhlNdiWnGn/bdtfg9feL6ffShbb2iUlHC+f48NkRsGPiPRCAYw2L/LaO4ZMKvEjkbw/ZDeVVZH6QfSPALDE2VDFVw1ZLS/IGBYq8F65K/LPMIZZjNineG1dfHE8jWB5rR1qIzEUNZJ40EMRvpaGmnu8HS7N0OZ96DqJKTpLWaq4ksl0Cp2K7jF6U/F4Tf6etvsWQ0sS/d/Wml08wU/e86Gk1KxWNyRdSjjTxly5aGoIY72F8/Ti9XcqZkGZyiHyvxs0PuRGXosUKs8CyT8WnZX6KF6OVneih1YM6Po8DPB+Rb9mScAn4sua8dlx4wX6yDMeLYgH0Pv/ieoL4/oiL9DIAQHxMnPgOvbzqMziWTfRgq05fgWME3Z2OfDMtua0wcQQo8SEIFxwdgoxbb0Tqiiyr97q4pA2vvZGDVqbAqCjtiq35Er0mTBX5Hke+lzQsXrsJGNQmrkYfo4IjOC9MBW67d9chsGgjehqmfl/r3dTYpetGdaWGiWkzi07t7+vAd84Pw1/++hd4jMpDppqvp5on7Pn3jz8vwddMOpP3shsG4F/4MQYaG7CA8fCSQGhsRrYLAsIxvPxadPUZaGHCdnEmrtLWNXHevPeWZDI1rBux95Gh9++38pBPfzd7m4RwJZDNVVBiP/PFl7I6AV/8iFtse+IJDFthUM+/6y7FKLv64BF888F2egpWYohzlzUPokifEXi2Vk1kvdCry48mupJUNlnrZMpTIVlDDVzbTBZe4ObpDpWPLzyTUxlvnYg+7wicRzPsSwk2Gzdee/lO38PgicEp1pQLuREbnJw89rm8vGas/28OjdjNWS+P/XQx1x9M/zoFNgK2+0iLn/7sSqTM22zGtrJ3jMhxwqguyXkAjz/++HQ+9v/9sapDU89lJ6MTtNxQOF3bGeDldL0zJ+C8hPHi9Je/YKaqXVkClTP69TYmXkzWYi+8EKlM+Zls4vzkkwJs2MBUCDvTD8RINzEx+JRREDXU6O98+mma3FnXI/qTybPonnvGisAGSnhe5MLK7e23MLBrp1n3OC3MQtstt2DA0fxleBMXjFlkFcgLbMfgHnS4jZsiDn4hbJdtY74yHno3BCIAasq2lj/2mJmR73SHhuzCHn3zTXTS3E12XabbNCMqlMeuIiXVoCs3NneCKL/9IZkpXuYmazt3VuODD+nwT2NTY0sZqEJa9R6MNLUilP4hs2f7Tn5vaR6pT52La555C//56e1ooyTo8Te/VFguUgzcet1VLPSD8d8PPkcxF+BR4SEEUbpx9y3X4IPPN3PhlUSfkmD8a/07Sh2hJUh2x/9ch482bKQfUiWu/M4qVNY0InF2AuYmJeC19z4kK6ZVWZQsW3QBd2mHacjXx93bXhr0uaGt8g3kNSw4LsZLRlQ2Lrj4PsUQUnwnhsma6CWboqefoBZlT1Pdmovrv4G7SIxstN7IOGxbcJVZQoTxUFnMFRQ0j+3UGv9eioSFC0OVpKcT0WRZ7EzTWE/KvmYz7cH16OfQtzUpMZQi7TDOEaZzhV7fAz0KFG8XjyAfZNy9DN5hA0x/uJlG3uzzKZpEhz77ylFlZ92elhTngTxW42Vzg9FhTd/BL1m8kx5P+zleeWbCAwqm35GW0i0XP1/4h/orsqJOJq0Ydw6lH6My5yJA34aOgkIMdpBSPkqhcCZt3jUhHYM6c+aCJydm/2hGXYuRhx3Nh8bbvo4TATIxXFURwRHD1Sj+8aR3i3GR/Pf/HEFJZbdVA+m7bkxWjGdNgVPL0zD6UuTmN2PLzjps3VuvsEismV+LUXNynDsO0+x10GRX0/id6Sl+Cjvq6y/JHjuBcdLy/Y5kqPUQIKtmPHTbKBtB/t7fT4Ui+orYeu+EB4uEREXA11AMCFATGEDJIZO/vClbDGVS0aVrYzA/PdQuANDabeyjvEBhwVCKJOaaAsJI9OzQaHz0gJWCw5vP61wLKepkQ6SLaSpdVTSO5XdKcakkpox+wJlgnGpOFnSzM6EJjEWvOpy+BoZ/lGSTGpq8Zg7lwaNwJ9N0Jr4fXM6/FnvqPOiNZT1WfNwUV6f4nwirJZiSi2r6fYk3lz1NPDWe+Hk2zYPHTapdCIANaZaiqGgl53bz85rTXoC0il3QtY8X0CMsPjXezvS8ceIGwORzgaMYFfNxdCVzU0zGhfUkMtWA5ESk893txSSYyVoZo4rXE3xpbB6EX38N/Es3Y6irW/Ek6xVJK+d0o9ewzkH8pW5GF4Vg8bP9pizs1B0V8Cv8muypiXHVyjnxN9Ts53COzU9LjiKBgNvxrPEqCNTece65cGYR7x0VBU+CAd5McvNmao4H2bb2enzZc5/lGJEn/u5Pe9DC51TuQ2TjVnTnHaY8xwNxMT5jc9cY22XAES4X34ZmzTi7NmW2B0oUtou5Pi+eqV0P3j5v0mdVw82VV8haOkIJtb3NgfPL3Hg1counAb5wQ+jyWTVo271tAlNFAiiW0ivQOPfmlrbivY9z4dxSjZFjxdA1MDZ91DPMeI6JTi1w6OlQDJ1NmyfBDWFF21p/N3JTopzrmFayaqzNy5Z94Ek/NE+1in6CHkhKi0bGaqapsQ7wZkS18b0issocSop1Ipuy0WTeWUqGuLfJuf3pT7tRwfeRKfhzFjfvbrgh9VuJljY99RIydYsoFT2elsx7kZiYeDxf8f/dZ1UHrPuNnewL1WZNLwXzZJ+P6fefAV5OZW+f4t86FcBLMJ3VMxkLO9ni/YsvivA5vULsjQm+775MpKScWr1xNl8i9du3W71D4gx/FsEPo3dNPUGXFwggDTCJwO/p32OQsZDGprz87rsfDUnJZt91s4AujHE1vrg6mLKwV38QQyou+Ol10voU4zvbzUEff50vFt/8Q8xeseK4R44kNeW88w4aDxywGZE92Y8UV3Wie/ZZ0CScxV2n8V2mK8gcuGBJmNnOoBRrouctKuo0K3iC9d1Y2rQbrpUVmJPsC1/fiXR94zk4kj3lyLSVK/74Jl5/8l5GW3+G+PBgnLv2AuzILsC2PYew7obL8IunX8Czv3uUi7hW3PajJ/DKM7/A6x9+Q7+GBHoKtNCA0QUXrVqBYhoX6liUyAJqw+bd+NkDt1A68RYlR0nciR1Gdk4hbrz6KmzekU0deCNZMLPQymJb1jihwWrs3fIccuvmHxfwkh5xGEvOu2usm50c9Yp0ypO7w5JgIEWfeHJ0cDxIYSs7vMbCfn5XARJytmDEhh7CgcDJ3lW3oGbY2+pt7KRfSWEhjVwtpAIREWrGs08Bgh3H6HNlTHJIJYsIpom4SIqP2oVyAWfKJp35X14zpWE6fQUlCeMvZ1c/T2TcdRkCwx+estgdIGD1r/U5KCi1bwczKU6NilrxoQA09PQoT/JHtxXwxbe7HQs/fImsFwOzxYlb7eE0hR7iPQlMS0VfTQ3amzsVwMx9ZBBu2m6oKW8QoLQxv2RCj6lCIuAQEMr7aSgU3IhVhsQSuHGxj+niqaPRsaPBH8nYhN0isaHhWVmI4h+VScqa8Zjq2m7867+5lNpMLKiDKLv7xf0ZVlkv8gwP0VPg8NFmbCbgUn3MsMAWunoz/RKO0aTWWkuJ92LxP4yi0okLcpEDrj0vEhs//ydyyuYSLbE+VqccbpxH0mfnYsnZdyrFcz9Td+obe3leBj8nY/OkP1ELmTmSjGOtScpOymwvpXi2bF58JpdRHrV21SwsyAhn+g5NPe2U/Ng6f+nTFoLfwoRpIhOmgmB/NY2VrcFuc8l28TXxIpqsTyTRrpHMRompNTZ5LrpZ4IoxrnNIJDQeQcpcpnKnBxYlcw5x6aikKW9RI4HFwX7Mq/yIjMQORvhSWmnSXS6xSejNuFSJc64+1k0wmkCh/B+/S0ycpb/lvyJBkOe6nQCWMd0oPkpNQ9N+xYzannblRXU4f2UuU/D6FOaJF4s/Ycns3nUn6honyiCvqPwEzpI8yElyhMBut0M/OitL0eMZgHbvUDOGjeJJxUdHiAE+LIhlHvIh4CJzkGIczn8Ip39byhVXUGZkX6pPbV03Xl5/VGF/hTTsQm9utsL4NJoRm16zJBE1L7pakRul0qx0KqDbu60EngWb0N8+vjmjpPKxj8OD3OhF5qaMx5f27EE8vdyOB3iZsLkm/cGxJywKMXD2oSGrJ0EYNQtoAWK8+L+duSaaKSCzeVsVPvqiQgEBQnrpeXV4C3R8DjLJdhEpmbE10dulnCwNp2WXosMrYUzmJolDIzTitTT9l8898P1UpCRO7e0ggONr9KM7SF8qe5v0fxrNfPMY4W6PhZMb+hGa9x7i/PXw4HWNzd38ImGDhFrI8t/7ugJbDrYoPkjuekqjGV+P2lLo68iEobTYk9Lt8MF6OFrs0DjxHvnSZNtyfpL5pobzYi1ZZ5KgJKbWUzXxvxK2jooeRgl8fgM570kTY15PgnKy3g/jb3kw+bKQIQ7VlLLbYojL53wppVpI5r3bqExeNuU++rgEPT3j7yO53sf/dxkCAmY6iqe6qjP//m32gGrfzII+jvectYtPjS/oTM7zDPAyk177P/KZkw28SKxlFmOjXalVtdW++qoEn3xSZjMtxvRzMgHfffd8+oDY79R+Im6FOM5nv/CCTUAi4aqrlBhnebHVsWL7FxearVyYzPrsUwx+8bnZKTjHzUYHmUZ9YoA32ixBF+Pfl2rLUeRYhoENOWimt4v4Epg2NZNULvnR7xHodeLcucu3bEEZU5u0NHybThOtf0EFgZTgODhyIdSudVNo357UH/+KCUfeo8kNxu+s46L0n/88QDq2uSGcijHOy7qzEUWT0YwESlJs+IqMAS9/egtv/OEB3PHr5/G7Wy9GZFgQmh3csO4Xf8O9t30XX23bz3j1GxXJ0W0/ehxPUJb0BoGX9JQkBPr74Ol/vsJUsDRkUSKSljSbBXoZvty0G4/dfyv++tLbyJqXgsLSSprt+mFR5nwu9HpYiPWRktvP3Vsnyo0Mxcyezf884cCLZf8rFHUCQyLdCaQRrAAyUma7trcgbevb0DYLCGC9iKladhEOeSZbXfTLAqykhNIpCxmO/N78+fQgMVnsTmdM2HusSteHsJrN6C4dBySMhZCnWkf5RiUlaDrFaFOuXfFY8EjDovueQBAXbraaMJ9eej0Xh3LtWzwbQBdJXhkHL3rn+qGCHg69FpIjMf7MOvg19ARjh0cNqp054EMJvji4qBESE4w2Gqpq25ox1N3Dc6d2n6CWmkCIvrcHfW0W5+TAXVsadeocxTfIAWHxTEhxtY995qEj+80hwFDocN4RwCWMzBZZAAdw53Qq6csbHxRiP5MFNFZiQ69cOwurlkeOAVwGw9whHDjciE3bahUPF8sm3ilNlOF1dk88fzE0XZTuy+esC11W/l28gdpq38bBQvr2HCfwsvAs7oLTu0nkZZZFhYwjUMpZU287lSSdEqMO0t5NwUi578mzfRQjaZEDClNGTCbTGEG/ICME6XOCx7yM7B3/1o6rpvRgffYROHGHVVtEhhRZMGJuKy2Iz2vCNNgurTTt7LOSYjc4NEzDd/rqhBFcNgEXBSiRtCIZR9rQBIR46tCUk6u8o0X2E0TWiAK+cLy5XLIOTQOG93sPmWU1tV2ooGxLfBoEfFGADILG4rkliXWWLTbSHfWMkbVrp53n8fSv9pNx1M6fFumoYa6rqFhO0DhzzOjX+BuJnSXILN/B7+6n5KQRmnrKpEZbU8wcaPTCLpX0OoOPj8R9C6tFSb0zATCdaYCfePXViOYzZa/cwcgE23mgHv98oxBlZe24YGg7ukonyp+M59SYuAptgcmUINHrLMXfTFJjbYz4NecyjWk7Brt6lAj7CJrT+xEsMi2wTwrwYmNgK33D+Uf8gtwDmABGbxF3AjHuLMIFlJG/8x5N2bEFUkq//f6ZvUoCls9wCzyOMIGR1xdIEDgpweCjI82YZKQJSUb/3AvRZ5KGk0LmSbEYZVsA5qkJ3rj75rQpwXrj5Wn5HLz6Xj4O5nTYFfRg+ByZLwRfispFsjM5aB7efggDR3YoDJU0bjR5MglI+jCQ7JGFNJ+13KwU76O/vZGHMpMYa3lXKCBMN6XpNcwvq9oDl47GCalsXjS0leRL4/gV8+pygu7NnN96yBaW532yYAK5Mtn4kdAB8e9LovxYnhVrTTH1JasjiBKnOm7kddDf0FpKnPGzs1atQsqVVyrXK332+9/vwDFufpiezyUXx2Ht2tl23zsbQ/TMX5+GPaDaM7Vn1ck4bS2DFE7XdgZ4OV3vzAk4r5MJvHjHxGABNapqMSmw0bZuLcd77xXbBbrIO/2OOzKQkRF23DuL0+k6HXd1d/75z+iprLT6MUlcWcqkJnlp1PDYf3Ft2cHVpkd/H4J/9wQGSCM3bU4334J6JvKMjC7sbtVpsdDN8MK11nY2b0fxn1+k2drEFJiI269CYGYqlugXnlAaZit3CfPIfuk7dsxmZLa1cy2q7OQCdwg6Fw+4kn7e7R5KKvkIrjovHKsWmyccyec//bQYm7fQcJS0a8uWrinHeaS3x3CxbW2RZgt4iSLw0tU3gFueXo8f33ktvtx6EA//8AZl53Xdw0/h8UfW4c2PNlFqlMgklTmU8mio5y7Dh19uwtpzlyEsNJDAyy48dt8t+Pu/3+ExKSwSK0k398MS7ubU1Pbwmoa5S04JEMEmkRpJOxXAi7U+Z7gtLq7ZALfSYqUoMiQ2QSkWxcBS2Bjts5Kwc+7FZjIw0+8Sn5vc3JYJbJdQxkbHx5uzKKbz7EznWGf9IMJqNzOSvsDsY6HBbfQnGN8RUdb2TBAZ0MyFmmbWS398P2LTk8eKXeNzJAvz198vxI799umHZ89iAcjdelOpnPFEuhcEoTzMC5pR8EX8GTwE9GrrxuLX/4GOURDFmaCYF5/7gMZmeIaFQMPnp79FWGojSjKXAJECjISkkG2Va262Lb+l86E5b3gEYpJY0LvZB7q46V0RRMmhi9oTXtxxjKDHVBilAW7c5bS3ycL7zy9kK9dv2cTX6FcPzOMupzvlNhrsopRo594GJbrVVhNGQ3M7ZXiUkliT8IRRAhER4oyDR81Taozf56T5kPKnmfslDdAvKSFGB+8Qej7YYLP4+KiYYkQJm43aKCKEbCFGpZqCQ7FRnkikl4tWy0QzKywNqQnFTyqLHlULM4KZAuY940JhPXew96i4C85OcW9rhRdBPOfD2dARQEnW9DMm3J54K7K2yJoRY3e9DZ2iR2wCKrsIvvB6xMtKZEjigWXsF18yJ3y7KsnaJFODPiF99A/S0VssgGyhkaTFqPJdoIBvkg43SBaenJYwByWlSNgXwmLr4lw5bI3mMXrD45juVd9Irxcr8jPjmHAl8y8u2gMXrylCYlIu09RGFIBEmlbrTtbL9wmCm79DGeCMNZVvoeswvWE6DUCnweSbx3HTwpHvbm+ag8oYt/X+9eIxaUzw86GMwp4m846GhsWHmFAk7IQ6xl0Lu6i4tA0+ndWY17YL3TY8uPSUN9YuobfYIIEsnufc1AAlIc5Wk75N6joEv4Yj8KYc0do1nErgxeaJjjJkhDXkyPlP5ik1pVoe/OMpfyh99BiVPx4+2oD171BKMziAoKJP0FdrAMvmUobo5zsuJRK2S2U72ZDn3Iz2/nGJZgClg8Mcf109Ex/sB+mpkpwwNdvF9Dpk3fAq05UEvJ9kCE+49DnxHiitJABpg80l5s7+h95Eb6thXMpYltQ0MeVe8sgjCCJgbq1VUfb3j7eKKFWbuMFCwjSCu6uwsHkrBmqrGI9OafQo29qZ63CfuXOVtZT435WSndbJdElhZApbbSrQRZ5rf/G4ItslMcpbMR2fssnLmjLXXs5Bwz09CgAnLClr67mMO+5AON9b8m+ffVaMTZvN14WelHv+9jfL6A1lLluf8hzOHHDa94Dzrvpv5RyHl4V/K79rz4+eAV7s6aX/o8ecLOBFXqiLyOrw5ERrq23ezGL3QxrPWjHzs/aZW2+di6ysyCl3b0/0rSj8/HNU8M/IaLyf2ffzxbLkJz9BIEGmSoIuL7DI7RpdEEdspezj/fdoyjoOKjj7B6D7579A9yjl/yaCLosnAV3ktw5//D72ffYqhulvYdo8YqIQ8vCVGKbpZoI2DkmO8Se0bwa443qE8qoOUt+V+FM7mkQvFxJ8IStYac5LVmOTcExtAAAgAElEQVQwdiEXhI745boU7iiaJxzJouaZZ3aj0kYBFDbchh8EFsO3k/Rai5WBA2MSnVJTccU/PsTrT9yNv7+1EckRQbiMkb6baWD6zeEi3HndhXj4r2/gX3/4CeroHXPL/f+LV/7yC6x//yvuWsfTDHiQcZBhXIxFY292Lo7mFWHFkgX45Kut+Nn9t9GM9R1kzEkmeKHD7gNHcc/3b8D+IwU8rpQF2CKa+Q5yN93gFfBtAS/LmvcjomAfRsTZdbTJeoddDmEXOAf4ofTq76Nd506QSceCWatE/prWYWVlbTQ7Nvc8kO/IYNyeJ1N6TlVz1A8hqmknunIPKz+pUukRFUHA08GcVdHTE0amlL+yWBSZX/DlN8I3Nh6zIkcjrRl7/dXWKny9s1HxyZlKyBDLGMwWMlV6rSxmjdfeszAIJaHeEAsjbx9nyjQM3zr/4Bb4bNsIl1aaXncQZOEC04Gd6+nggsB56WjZv5/SCMoOpc9HV+6eUZE0z9Cgt3kimBq8LBmuYZLANXVh7c5ksxD3SEQuXopw7i4GcZfR3h15y3v69fZqbNxWQzDRvGARhssc7hTPooH0ph0NdoHk8t1igt1C+VojC09rbV6yNyUYA/SDGZ9b1AQ6wkLUqCxcj7zqeby5M0wI03chLSYHSek3U5Y3gBbGFBvlLXIuHvydVj67AghYa+6k0yfHeY5JjAJZzKUzbU1Ft0576PjK2CUAGhfrRTadgQWj5m62vVKkUjKonidwqrEAV5w5js4uLkR8QT4aDzFVSwx5LSJkTa9H/FwaKTMZsmLcKccJAyGIcoY+Ai0SIdtMSYywsoxTrSMnkFg/zhlM/jE2KZz0bp7Q+4ZA9527sSNXq4CKpi3Az4VJS3rG7PZOCqaYfkai1etsgC9hga4QsE5kSt7efbhnHSW/Du2KJMgIvhQXrSG4kUh2i+G5dHUgkNu4F6rcnQhorYYL5W1isC7m7cKck+dkRN4hZPVYfWZYAEZQWpR0+eV2pQXKc9JFxs8eSu92HGlFuwWbS4w1i8kqTGaKn1d9PgYt/DmMfdHvFoC25dejsoHGz5RZzkllLDzHjmlzI+AynwyJs+YFIj7aF9kvv4xmytNkPFi20wJ4sfqUyTtKWGeO9O2hnEs2q8iQKWTkblMfPXX669BGuZ3e2QUenq5ISzF4yUgTcOsok4y0K76HJn2gGWigsF0qyXaxYCimJfnizhvnzAgIlXXK+vcpO2Iao4Dn9rZUpipV1Fj3u4roOATN4R0ERMfXhzIOl1+1EqsfuXfSFJ+vdh/Dp9sbGARg/c22kBsxc1Wtiv9YH9duXdwAGCT44UF26JCzO0ooC5U1gDDbJClyKlmUrAX8CLhEcyMmjkw/e95Npn0kktQ2buYNUpbrxppAABg3sm+chB01uuHoxPf40lG5fhfPSVgvbRbR0rfeIjXAxA08e+/HmeNOzx5w3lH3rZzY8Ar7wPRv4+TOAC/fRq+fot88GcCLFEJLHn0U/jRfs9UEdPnoo1Jlh8yedvXViVi1arbdC1d7vtOeYzq527KHbBediUeL6efENDiFsXhlLLRe4vuzd3Sh7MI3WfgfnsRAzTGzn3G6/Ao0nn8B5QSOWKfXIoO62MkKpX6+qHY+9RS9RI6hg9Z7I8aUIzGcu/MaOJDaLk32+RYPLECwa9CMCy9b/SGR09Xbtll13bf2GQFe2sl6GTMVjaFr/ZKLsGpZDFZmmXu9yOfzacopTvYdHdZ9FuJDnbEutAKuLDYcTTwKHFhkOsbH48r1m/H6w9/jzs0QfvXm1+R/sDf447+8YTWCwkPxxPovUNzQyiIoih4EjfgpmSyvvbuRKTtx1It74K2PP1P09JJa9D9XXc7FvCf+95m/Y+nCTFJw+5HM35iXmsLjPkJdA31G2PdXXnQ5/81ZWbTUN317wEt03zGclbcBOpoG22r5a65HkVO44l8glhDepKT7KSlPTNWgyaWkzBw42KRIKkwXYIE0DE6isaq9xaI9z5M9x8g6LKplF3oO7yO9vANe3rIbMr7AHBlxQmNjIs/d3IjW9YLr0OLIFym/oKGpi7vOOhqnkvLMBaPo0uU6xLdFqMymaUORoa7cPRxG1xRRrnLu3UtC0EDT5zaCLmqeU2h9FcKLjyDym0/QXk7TT5N1sDM7MyIhEQNd9D46ZqDSSvEl7HN55kPT56DhaJ5ZlyjhciHecJxF80qCO06CnFlpKqaV+ETPQsaCCxG7cDEjrO1nt0x2D/5A6V/VKEtFCslu6v6VZC8CJOcuCmaBQ8PnKeKCTb+/vrmX42uAi/+JjDY30tUzU71wKKdTMVUW48zAAA/lPu3Z9jxyK9OOC3hJj6XHy8o7FaNtiSluZzpZM8e6jHmxlTUFfCz7JIOgUCsX/UKtn8OCLZBJRqZSBnvGsekxcq2LmaAwPy0ICfEBk0qRpKh8tn8QBRZRt/J9HryWx+hd4c/3hviG1bMwFUPebrIxFUNei82BLr6/uqppxmmlspKiN5Q7zE6ubuyLHjJU6H9CAMb0OkXe4dpYAgHhZWyb7vg7J85DN4Exz5h4VOoj0aD1JWinQ3KsWmHO1NFoV5iBtU32gfZyffEEX2pNwBeJiJ49S83nhhsaJsylm6/LRWRUAe+Pfgx86evzx969/8MY8xGEOLQyKnoHnLqaFfmQe1UpHPguncApFdkLmQWWc5xKpEXXXIMok4RCW/dcxlcj2Rc7jjRj15G2Sf1qRLpSVliPs9o3o1MkRzZoBu3RWWietUTxJBJ2ThpBP0+CDx40zD0r3R8rKP8MDfIcl43wvXjgX/9CByVllkDc6Qy8WPZpF0HSguJ2eJKNNlxVwqh1DQEZylvo7eHl7015qQecOfa7BxzQGktD5aD5irzM2I1BASqF5Wk5l8s75aE75iI+dmaJg8bzfP2DAuzONhjs29uSYjzoY6QxM7R3p0eR3+F30N9qzoaWZ9Jl7a245LuLsIBm3bblWMA/mbyUU27dyNePsqOFx75BtKde+Y4R9tkAH6JOgi7FZKL1kqmp4dpGNo6mvBYBXSgVTI3zpneQesbrSw3nqzaa0w6Pmu0K2CbSJwFg3Hx94cT/35sy3Cxu2HrQmuD113Owb3+DWY0QyeSyRx9Z9K1HS9t7788cZ18POG/7loCXlWeAF/vu0JmjTmgPnAzgJZPJPmGkNNoCFDZtKsfHNM+yF3RZvToGl19ukBKcyiYL4H3PPYdWmhJaa+6kxp7105+ikl4tLzNqtM/EWDE0+xCcX31lzPtBPi9mc32//BW6yXq5k0yX1CmYLvKZvA8/RNXGjcoCrUnXzBQkGhfyRegZH4PABy+DziRi1kPvgWXDWfCgzOdEt2ZS1Qt4Lor0aIrtkS7SVototGtkvSjnovaG/4XX4K67z5vAepF/fu21I8g+3MRi2ToQd8Xl8VjhwML2q6/gPPridpBFM41KR2TXhDsoDlKoyB8uzga7e7n4YpXt64ctVXW4/KKVNCl2xXUPPoW//vZRNLUaqPFSkIs0R+rbHjJBevq0ijRCbFLUNHft5f8vVjz+pP9KcejKHUjxKhAjuorqbgV4ke+RdqoZL65kh1xU9gmcKqpt3u6G9CU4GLvcajS1mAgLqaK1pQeDlHr5im8DUQGJ1u7l/x8Z4Q0XjtFvpdHLKKZjL/za32GxNB4fK+fS3xdM347gMX8H4/mRaA/3867GkTY/lJFBZbo0Fj8PNb2GAhgX7kdvHG8uJGX3W9Jp+nitrTSWtYcpkpLqjRJ/xpHXl8E99xB0TKCR3byQERZIZWTvmZpoc0y5UToQNT8Tx3bsVk5TCoRBFl/yCKlpQCmxt92UJUmjagp6lQGgcE6Nx4gCkHEneHRecSTbwtWXUdEL5kCdNhtnRV8AX9cZMkJs3NSj+S1YT7+Xiuoeglf9lNmMg6HSd8syAwjQ2SeBkp/QkMbe0tlPOd7E4luAwAX0z/H3l+dMEmTGQaYTCbyYXqoSqdzai2waZgowJwCBZYvirq4PZTRBAW5MQvNSGCDWyI4zeS6UZKtwNZYsDGEKUogic7F8rx1iEb1+hGk9Vox6r6LJ97kEiU37St5TskFQRwZME+VIsrMtIMww/zSSBWFqqGt6zj5kaerpDVZN6aQ87/LACDdMEndk7nTk8zHLo48S2/EUIePnnRi31ROeho7GdgXMCA1wh5N/EHzT5iO3KxCVrSJnYMIX506Dgaf94MvsSDXZiRqCriJrULE4HJ4gV4uP7cT3rt3FHf8OghFO8OfY9KUMQtN9E/RF9E86xDQjPovGZ1pPua+ORZ/jqBeTaT+MCPjEQs94rKTJzL3pJsWLZLKm46AoP9aF3UdbkV3YyRQo+4pxYU+0k4WUXL8VnfXWExLld+syr0KjY4gCWob4q3DrNbNx8cpYXqfBNNeyafv7se/559FdUWEWS/5/CXgpLW9DJ0Ft145qaJpblEsU4EkAQJkHZazJPK/xCIB+VhoGRsh48gmkLNMHWhcvhM8ORWmrC7R6J8XrzPh4z5/jh9uvT50R28Wynz/4ogSbdzeOGfnaMw8kUMba0CSMSsP6JqL9APoP7yRQar7ecUlIQ0/KWsVr68ar4rn5M3Gjyvh7LTT2/8t/C9BqxSdLjkkr+xyJgzXwpURHGMc1jQRXCYL3X/0DGsITeCkvUsAtLRmag5Rm22riz7SQ/lUBXAMdb+vmcygMasvkTJHfGkGYeKafpt9wAzdXNHju+YMTNuQeuH8+N4ROXZrp8V7zmc9P3QPOW8a9t6Y++sQdMXyubXLAifuVmX3TGcbLzPrt/8SnTjTwIgZ0YjJr069kZxXeZUzfgBUTR2sdtmJFJK67bmb00OO9AVVMA8in1GbEymJNvnvhAw+gNiYW/2VxZbpIFjp41LP/gIYMDdPmtHIl2q+5FutGdEiyA3TpbWvDriefVF6M0rQ0nW3UN7M4G0HkfdcBKRN3b6KHI5HukHpSQKpBnsfRt95CKxeNehPmibV+tmS9yDECGC2/+Wqs/v6VYw72xs/20Svlmb/sQa2FoZrx34VO/rPHFiFogBG8774LFWNR6Txo+CPbWcIcIrClJzjXSjlNI03jnKgFVs+OwuvHWpDT1M5FlyNW09Nl3lkruFPUS3PcAcUU04UFhnh2yK64mE0OMJVFdM9CRxdTWVkbCfNAdr8lYUgWdBoeI8lCYnZn9LA41cDLysZdCCk4hBEzhGv8bgz6BWDnOTeiXWMbsJTkhiNHBDwwLABdXAhesJCJYPGZtYCmuu4OikZdJEoiR9BQNWI89nifr6k+Pze5HJFtX6BlXx4XqEYAwAHNTYlcwFrXl4tBYHvi+SgYCLeprTf+rhR23kxo6eK1SdqKaNYlScmD6SeWkdau7JeUwB60FeRBW16AblfefxMpkBPHYEx3M7qE9cKmsKf5Rxb+QWRWObMo6qwysN8U8EXGDR+IsPQUFscFkNho0Dx4bLz78i9iaWhL3Ms/kGBL6mx4LEiAKi2CO4Ou9HRaAD+V0GNOTDP4Ugzi0JFGPPdaPr1Peq1KapbMo+yBKS+DJpHxU51BG1NcGmi0K4wqaVIzSiJNGCPj/ckkWTDHm0aU3fR5Gi9CThbw0ktT4FJGlfb0iYcJqfa8DwMEUuV+yH0RcG75wkAE+Qt4TfDDzrSdqfrA2r+rKBdZkB6ErMxgJCcGKnO23IeneR+q6e1i2YJZ6D/KR9md85ytJibPTZyfJRWphPLYHtL7BYCxbI6MzBpibHRjK/24SGMRJoYwBQQUENNNQWS9hBVXS2NfKzJTx5SF9AOi2S8pZDLUZR4N9HQiQ0oLZ0bM6kJmo8c/HnW6QAKNnDNIMZNdf3uaREQvW+BP3xjKE6ywIOVdIMyPu28/jNDQMgLjI0phHuXrjdIPHdF+hKW5FaRMm59vYL1Ygm3cQFHYk+z/6NWrkUQG62QJjAK45Ja0Y3t2MyUbYsRtH+Bieu0CcDtnfwN15WH0d1mP2x1SqTHMiGSVkwpq8cVg8fzA3RmIivSx+X6Xd/R+Ml8EfDGyn/6vAC9i2J1f0gn1SA/HbelYdwlILnOyYVIFBmh8rovPQlv9uExTJHFqMoJkl2TEUWidNJH1CYLOwx9agjI33LiIscc0/RfwxoaXnj1j03jMhi0V+Hxz7bTmBzGRFmmlxCv70tulr83c30quwflC+hQNjYPpV10Ug/OWjRubW57jnqONeGtjjeKjZ9kCuqoQV7ARCUxMqm3REABnOpokjSVnYm/QWSiu6IO3K5nZw/UI1TbCuamcksRebsKMzxe+fD8uSQukn9KJ2YCRTbsOelR1S9KYjSaSs+Trr0c018ubjw4jv4xpSyYegJn0z7r11rRTwnqRd4SxaTh3/OOvf8Vnb74JVzvT5CwvcZDM+GuZVnUPN6fPtPEecN5krgw4VX0zvCrK7Kd27MvB7/72X757OplmGo/f/+wHSgCHaRvienv+6nVmoR/nLZuPP//67hN62meAlxPanafXl51I4CWazuRzCbzYokcePlxHZkOuVSNVa72yfHkErr9+7gnZpZhur8sCZufTT0PDHW1rLXL5cvRecRXeI8NiSMw0TFoAk1nUz/2TsbLjLzBZ1Dk88iiuo/QljmCBPS//ozS3PcYoPtPWre/FSFoIfO5eS4ND69F/CwbTEeESbtdvTLdf5PhiMnAqv6akZxQQsvYdXfR6EaNdS0xAwIvzL1uMjFtvgQ99gExbdnYD3n47j94Q1nfU4ynxkBhxFV9eA++9B4eDB+E46m8gBYvo6ysYLSkAgTSXQD94JVNOFBcFtzD+Fhdcg01t6KppxCHvRJTQkLTXws9CPic7qJetiUJMtA/TjDpwlCaJzfSIEOPHyXa+TyXwEtt/DItzvoSu05wNYtqfORffguLhyanVVVUdqK3jmLIgGs0htd1fKT7FJ4bMGLKCfLhz5sOFmBg6SqKJMIS6CXT0k6U0lUZ8uuNMfu/C1ZSAuVWgeyfBlP3F3MVlhLbGD00tEVYNW/sZBSL+NbK4HJ53Pgp1sTZZdeLx4U/mi8gaxpuwLqTmZKS1cq0qhPg4IFxfj8CeErRV1tKWxeBXIiDiYIgb/ZzGAaCgEUpTKkoxxMQiI+iiHMsvTWT0ed03W8d2YCWNRQpdl6BgSqGc0Ntea8bQEb27x5JM0MQBnsviEJbM+8iiW8UUlqzh+QhyOTEpZoovBen9ew/WYdvuBoIjQwpLpYksFWtx0ALKrV0eqshw7G1yrY1kmYjZqsTzhjB6Xf5rnANjaFjrQGPlyprxe3EygBcBVstrujh+zD1npGQxLLBpAr42kuCDI80m7Wf12NsPkx0XSv+SpYym1qYFYKO3BwHkicDibbohZNr57pBI6gNM4RNzTTHX1bTQD4Pztew0C6g8GBCL/8fedwA2dpXp/pZl2WqWe+9jjz32jOv0lmQmM5lMep1AIBVSWMpCgKUt8N7u24Ulu0AoWUqAkGyWQAgkJCG9zCTT+7j3XuUiS5ZlNb/vP5Lsq2bLLQm7c3aFJ7Z0de+55Zzz/V8ZNKFgwIALP9dw+FInJCW8uFLlwzTa3um32+FxSWSIzSPD0BhAAbAFca/yNliGFKcCMC3AGxjfArxRIAnOmraGRjQ5pIcBbh0A72ANOUIUg3uOQVDenxnPFwBjLNXSABRNQj+xdDAyUk6rcnrgQYWY4WkD2frBQnt7iBQmsCSm1+GZpfUb/5xI6XMgIcozZkj3Q75tG5UgfTENKWDBmLV29N2xC4MAXIaoC+yFhXh9BDpmvh6TT/yexmrrkVYlAV3xbOEYcy1AwLC8cppcu3tmTIwCOPzAvWupEEBdsHnWJFgFx3/xCzJBfsbj4t8K8NLeiesUBQ1jzdkZ0IhBNgbVGJQQz1JcZPa8ChqA/FHqjcJ/04GxKTybJN4uPO9KBsDL8j4F5GPRkL9rYZLMRr5a+MnoYPIrosLxWqik9t3j3fSHF9pC9jDifcxJA8Ot4SCNHAHbxWfQVBSU0njRXj926r5L0+mavblB58G/+lM9Ha+FDD0A/lfahFRNFAt47uN53powPzq7+S6q0wPMcjeGtLQChOmjZFsvyftbAYBZqGq1FkB7cKB3Mc8+G/u94Nq0DM5heo8xM/eKK2gMgH2XGSHZumwyRaUgfFstPMa+9c3NlJoas+Q5rgdY4fuEGWNmzPcnUfDke4iZgxyMYcVzY4oDMjD5++nbb9M6yDsXyzPlnNARFGy///3vL6br/sd+Rv66/zjzfhys/fKsma8Zh/Ru30e+RA9/60ERqPGDn/8B/o3DfoCKfsRA1939dXrvuR+v6C5eBF5WtHs/2I0vF/Dytc9+lirvuivopKW2tp9++ctzNIFKYyht5850uvXWkmVN6gnlez3vCQR6eP7GAzh98Uv0YgyqKT6UX54eZD/5W5o87JIWeFpUWTndfM9dlDdHrLb0/eN9ffTeww+L6oi0Md02+u+vp9ECTJM9fi8+B6ZwRtB22yYMpFxGX5k2gOphNZgnkxxRGkSnXtc6CoNBb98Q3pv8TDVl5SZT2Sc/SUlcaZT04eOPuyRHwRhRtx0opB07ssQkZBKDoPP558k5akA11YRUDG9zWFmUghSxOgHAhKMKy802Nk5WoNn8s2XNVmpZvRlSodlJb0GOhm67voDSU6NnBnUelNu7xqi6QS+ipDt7J0SFyTet5f0CXlSQGO3DhCq8rT3oye2u2EGnMzfNGE0GeqMV7J4ziAT2NbfWYvFTWjoXlRdx1izPAhDAEabRSPeJwkKI2QHsBcLmlhYGY5Zw6a3K6aeq9S/g0nItxk2HraQ/2kyDvRmYXPtX3zg1ZMwnmcFRshNR7IhmhaeHtLFkLC05ktoCyF/4fQy8JSvGKXmqgyJ66jDVAz0bjAievDLjiZlTIjkKiwELwBcjV1jRZPh77sQwGZvhs+AzCdZA1qHB4mq8EZVo984w00AOqWByRSENIZGKK9T8bFGwxCE+muxZiWQ9sIeM01NUlKOlBMhSNjkqKTVybglEKN0ufCkGjHToaA9SiqCj96mYDiCRaAAx6YHMZ8vhecJAAUu0QmlKsBNysjXobzZ09I7p9Xy+eBUb2ZogK3FtcyWAl5HRCapp8gcq+VymgeF13b4cuhdyhAFExZ+EX8eJM4PwheG0j4UzGkLpF9/3yCFvatidTTYAnonwV4pDmhA/G/lVgPP1GeznXEwMz/Z4f9/FxN4A8MV1YTJLD/JIACX6zl6wfaapd1IlzIaDHVlGqpLsLWBsQgrnJaHBtmXlO6inQw+moIv95xtfH6OEpwS2bZPE2iuUkRSenI3Y6tV0YjCGcHkJKZKnsZkxA6HMMmKgjkkJ4Vh0r18XK6LVGXWMAuuBn1Wz3zdNN1zzKtkbmmjkYBtZjaNCCqrTgBUmKwi4kLYDeCEsrMIki14N7rfiG26g2Ace8JtvcF+akVB0FIa5B8/oaUBcD4s5u4E/E4X0rfgjT1Nfc5+Qu3JMrxrPUnCfZsBsy7ZbsPDM8JLh3ntHMa2vgm9XAMkRf9MEFrUnHnuMTGCG/i0AL8y4aoI8eaq1Dudxds6jwfiiUeO6cLNUwlJzaNAWDUmZt7cJP2OYeeQX3IVLp6LE35yY7wmRsITCmRpyZY3nBTCG05bUMJ2WgjHBCmUnzyKB6U9NAaW8gc44s3nSqp8h49CoF2DDAJGL7QK9aYB26ZYUuuWa/ID3Pwca/PC/asBqmTXX501Mo5riaK+njPMvk8I6iWsLMmn08xiYusNgDNWkbBFsT9/GXb1ptZI+swv37FAX6THXs8HjaS4T74XeEWbMa0fBeuHtBms8FmZddhmdersOHmwYG1WQMyam0XRiDhUjQOGaj26Zl/XC96/nxcw/NhlnvyobZIg27MMUQBWew05gvm0F0MLgCo/Dgi0WoJr0KFjwpWAUXgReFnrG536//NXgcvnl/Sbvrdn3Zs/84uW3jtOzLx2kn3/vi+J37O94yY2fo6Mv/BTX2SxI2dbZRw9+5fv08lP/tpK7xszM5RxqVnRfL258gT2wHMBLF6pFj4MFERUEVGhu1tNPfnIyZKbLJZdk0oEDJSsilwmle4agBT/x4x8HldM4P34HvVW1gaYCeM5o+3op/j8eJsvELAjAMoSrH7ifypCgEGo789RT1ANDW9+WBD168Sc+Rkfs0AhHBdflJtkTaf102YoCVyZUB85iP4WmPECyhm/CkedYmJZeiUQGXkQUwsAw99JLZyYURiyeH/nREepEEkCgxl4d//iNzZScrMMY6aDq107Q6K/+m+xY0C6mDaXlU9O2a8jkVNCenWl0yZYsPGSDxyTygnUMDIEmsHnOgwlT22wQky5eLLxfwMvu/kMUX33aTyftOX5LYjId2nY7jcGAcK7W0TEGaZd/nG5hYSwlJS3MrJUna/Jwl2cMG5FGa7D4wpdPQj4yBvCNExSkC6259osXXJdf+g7Y4ue93jb8jobqnoc5qk8aCMtFRDJDgAXRdNEmqlOUzchmsFak7Cw1mA/e1xf7CMSqnJQRNkCqQSzO9KCRg3Ktg8cK1Fhek2RXhZRTayA/4+o8GBtmEZGJKM9wsFhAk7eMcW3Lu+Xs2E4Dbx2kMJa14E9snxOGyGhZXAJpUyCNwthuQUV7yg5/Dvf9pLrtahpfBVNb+PHcmrSZKlLzF1yZle6F8KVoG6HDx/pgajsUNFFuCgyG4XGzXz/xtvj87L8kBf4vLnlOsMbsqJ1b02jrxnSKiVHSE3+oh7eKPuB1EIk435w0Gbx5poT0ZbmBl0nLFNU1gw0nAYuYqJicoKQMpHQk4ufXwaaLi0WML5rLkBfPFySnnDo3ROdq9CGn7y3mOcSfscC4+WyKbgawZEAoCfsVj4r/t2GvkA/vqlCq8s1gSdbDj8uCieM4/KeYCTgAqQEbaYbpYshWsJUijf0UDmnBpBELEEkaGu+HJhrfOdWD6id4RNwAACAASURBVK+rIh2O65zTU/hUh6dkkVGNyvOYSQA3weJ1o7EQljGri52kJY3HQiUYPYPafBpW51KPFaaaLOMEYMIMEh4bOI47Goa4Oni2cMxzUZ4apugMdnv3bESYncqcfyU5TEQdU7OAGn8mWsUGnP5GoE6wfhy1tTOsl+SiIioECyIS0tnpL32JFEh9EWak7JvD0ekAXN6FYe7oCjKgUgbPk6r6LVTVDQCE/Nd7DhyH48p7aXRC5gX2f+SW1bRjW2bQeRIbK59C2tEjKJDkY7G42DIM92xLaSndu3nzYi/teT83CGbDQEMjvLNcJuSexj5L4W5JpyI2jkZjVtFwj7chLb+XJTFj7Onmk2SUDAAzP1cX0n3D22Ewhl9yzGU18OBSA4jh5C8GYtgElqOv2dxXCsqcrR6gJwG+sLH0fC1j6AhNnDkCWWuYMPP3jImRheVkgESW5xLB2uaKRLr9ptVei0DPe2uQSvjLP7UgpdH1eSfk7A3dE6QHUHir+Q2arK8TXi88J2NMYRrH2LDrPmqGF5O08bi2frWavnrPWiQ9uhjJ/Bwcgscfv4arq8kC4DKY/H6+45f+fRzbGWMz6CBSfn5vNPtQJWRT07lOkU7IjdlPkWDkbb+mgtKrKimxpIQ0OE+cvMlyIAZTBFsFLwZTmK3C+8yeTx5QRbCNFmHcdRF4WcgZDv298pc/IOBl3yzw8rMn/gJpq4G+9tmPzew4Ay+/feRrSMt0hZhwO1/bQp/5xiOUm5WKdUA3FYJR/80v3Ek5mUsviHndixeBl9AvoL+1d37jG9+gZqTmRCxSs2hDiSEH1LnvgJ0RqHV0jNDPfnYaRabAkaK+n9m+PQPyog/G00UMWHggH/q3f4OhYFvA4xkrWkM1n7yfDEF09jl/fpYskOF4ViTsrrEe0bG7v/71kKqV/KWjMLA9yklKoD563YgYLDd+8YuUiMlht6OXzjmrye424wy0s2utRZQXkbNkOuZc17QdE9Zz0LwOYWLncauXvp9ZL8OIAPVdoK3O0lASDBl5ApOGCd0aADBKdzLLyZO99PTva7BoCMyOWlMURzdh0vnSm510BiaZKqeFtg8cIV0DvECmfGbnIdyQmtR4yvqnhygJ9MJQKsqeTfLkfBRxuWeQylQLbfrjj32HTrWXY3WyyHqIw0AVmWdow6WfCrrXhYYmKq99k5xBfAGmsSg+e+Vd1OwIHuPOG+cK47lzbGbsPVlUgt5eWRk8TSGE7px5C1dwwwHGKFHBjYtBZRGVcJ488QSVTYyxFhZyG9+WmjROO3cihn3a+/qvq72Rhg4P0XQtTDUnXH4RvPgbxYKSF+vBWtiqcqrXrKdxVPoLwKxobp+tlqpwvGnhw5Ro7SZFby1Nol+dbg1BNCaqNkzkJyF1mKuFQwJBYKRMAzThBWqRE6a07O8k8RJgCEwNWrsSaIu5pp5QfCQFiptyeLk4dBqK2XEJ9VSf9fPTkCXGUfj9t5KzIZnGu7X0lbtW476ZTTMJ9XwIX4qaATp4uJcaWyDNCMGXQs8pQLi+A/lsFOD+XZ0TjYm89z3K0gA+19s2pdL2zZmk1c5Kijhe+oe/PIUUsMD3aE6aCtcDUsL6rcsMvEyjmj4KRs3s97JvRDYSMnQwKuVn0H23r6aqsrSA3cl9x/f5OchMjsPXoxuMN1+WR6jnIdj7ZIhLrtmRSaMw1fVt+UMm2gLPqtK1CVSOVKTEBI2fVwWPW/xqqO6ik498n3qau+HLxKa0TlSL4VnlNhK2V+yl6qlssYDXRTkok3opFrLFMH0XmcEiYLNPjlY3AdiVNgZfHGCjyMq2UVfL0Ews+lzHrY0EQwdv8I2aZvCFhU12HKsqFZPV3HVkS4SZtDIawC0WvhJZhGf7hTlqMA05kcr1vNCCORDX+g6ZWhooN7sDxqvezFCHPY1SEgIvUm1gAskAwORXVlIOL6LdC79pxGoTWC9jAFkOnR6go9UjZApi9r7U882fV8I3qmy1jraVJ5Hxxf+mU88fokEYoPoyKcVzLq2QHJuvAQPLW+J3/TV5tHd3blDwZQSsgk/CLyP3xIklAS+tkGAx8LISNdhpnO/Wuk7SV3t74rGskSWJ4jkKMExVtZ0aL/T6maqzLxdL5kJmuyzi5AlAhk388ZMBGBUAGGVCAqlh6s+ypX7EXz/95iDGNZfMLlDTOMYo+tQzZAbAxo3lrgwATMGzRrb3HtLbA7NdpNvaBPDlozfkw9rOn/X57But9PqxIdxvdqoGM9fo9swqtrdTScdbYNkYwB5j8M61xaGi7VSXUIlx0fULlhBvKtDSPTeuok2V/qajfO75WTiCQtsIipODkNwwW2Qu4GSurhYyV0ggDdhWsMbfmVS5njoHwGiFkbcMSaDheMnAxEuE4bQKhQ9mC7Exr4rBMS7+8oWAwoVvwtsiTrvfRy4CL8vRi/7bkL/UvjIbnmer9v05M+/4wS+eEczQLz5wYOZ3e277Ij3yT5+hNQWzAE0Lwjp++8yruA8vp1yALY/+9nl6670z9Odf//OyHsNFxsuydueHa2ONeOjVM/12Ca0IVaPVkIz4tt5eAz366CkaHAzNVG8DoobvuINNs2ZpXUvYrUV9lP1Lmv7854A0w26USAe/+nXqBy01UFMBaU/5l38ms9v7hEGXYgwclfAzyQIrKBRfF97uyd/8hvpBafRtyevXU+U998xMss5YL1C3HBMRWWBRRzhid7dZN1Js5PKZcAbr1FbIfppefplsqDhIG1db69sNfl4vIkq2CBIgN2tIg6pj6d13UwyqTFxx/CUWaOcv6P08OiLxOQtLNjC2arXe6Q6bR89STuNxchiC+55I942rqzmZkHDEKV1VzptuIhnYN4o5zCuln/csdjiKdUhvpm99++v015NFSwJeLi+roQMf+6KoUusRJcpRmRyBzJNxrdVIVzQ+R2HdgX2HeN86119GZ1Kr5jX96+42UAdSmXzZtPn5Omin558ALurmwoe4eMmnXINJJ0das5kva7bZL8aECSB7Nm/fihjppGNeX2GdSqC33v4oFvpOShitpvC6QzQxNgGmC9ghQSa60g2E5awlK3xfzjeYcK7DKD7KSlnTPaQeaSL78IBfqoMGEzr2ZpnwkSkFO+7EdBXpsYifBFATB9ZLXHcrcRS84Bzhf8RiEv/M2b4VVcPzFIOFtjwZAApo9FyktWpisUhV0yBib31bzNbbqMNWIUCdZLAfvnB7PpJNXMyM+Rr7Uhw/1UvvvNcDzxZzwEVdsG3wNdcDb5Ye+FkEihy9YluyuK/5b8wYSklS0o7NqbSxKpXUapheB2ivHeygV97qDFodXpURCdPWSXrz5UeXLU56xACJUYPrmcBAWxYAl3j3Pc+/W18aT/dAYhRKah4vPFrBGDoNttCps0MznkLznYe5/s7rSsOudKrW+p9TXIW061gXmfpc7Ea+f0oAPG+sTKS1xYnwnppEKtG4SPGqB/tO2wIw4vxxUc214TnJiWseyY8sOZOas68G88V78c6ywQSFmTKoH/K6NlK2HifTgHfaDj8rI3ILqXNSTUbcd6E2Ne5vPLIFY4zvAOGDjm1lAmTjVEPxe/xSoQSzIbuQwjKLyKjNFlJO32tuNWJ5u3sncc82kqLuXVHF5pYQP4J0KE7AmQUBnU54vpjWUV52nJcJIr+fF2er8IxPloxVvMAzwuD9+O7b6Y0RHe77ZdQT+XSWCoDUJqR57QDAnYp4Xh57zFiAnoQ8rO5YE8aSyYD3qWX9VTSVUgi5tjcQfAPAlz1zgC+/gtnukzAFXUq7CTLy/Tt2kBkSJlNvL0DgbiHV4OvMyQvdJZDi9ZDAtR89DdaSNyAbHxtJEW72adKGjdTQZiIj0gR9G6fxjRldqVzSxs+jVdnRIbNdFtM/HkBGBlDGZAujtvEosmK+ZYuMpikg61YF/i2HSTIKA2l975LpzHEv8IqfR+o15dSZdumcsmDpvq0vTaA7bimAz5E3+GIBNfPrYJa/dYZlTLOdEYZQhutGX6Xx2gaYwnJAANg2zKxSRFHdpZ+gtiGAsGrMx3I1dOXODLpqd15Ic1UeW0YBwgyABTPEaWq4nxbKhGG/l5HOTjCdesUhMlji9Mh9GEx2S340+cVk6O6DDwuYafg9e/3wPILZgJ7UP8FUQvGOgTCWi0UqMa/j9/ohcos5067PXAReFt93c31SDq+kD6LZr86d+dqfP/kXJI8N07ceumvmd1uu/hT97j+/5cV48d1PBmvWX3EfvfLfD1NyYuyyHcZF4GXZuvJ/z4a6ukbpscfOUl9fYMmIb09UVibTvfeWL4hxsNy9OQ70/jAMdQMxN7rw8B648WYa2315wJhP3peM115xeY7gRmTQZQ00tokYBDZ+85sUCZp4KE2PChXLnAKxXTZ9+cuUAOqlp9nIRu9ZjpEhKjjQoEMVZcv0elQ6lseVfq5jGAFLqBqmt6aODq8qSG2Ly+vFj/UC34ckLIA8gBTrrdfeeSelQU7FLvY/+MFh6ul1LTiEtAMz+FYYwbYh+YgNHdndPgo+LtKWP9FBFS2HCAYWc3Z3apKKstI1frKi6XIwVm6/nRQYwH0jW3lyPoWIDo6RbkWMaFOrAYahZsEeYPDg8Js/pQs9FUsCXkrTz9DWyz8lZDspkBmkJkUJs0nel5RXnyHH8dPoW47BxeH5TDTNKen07pYDZJicW2LEgBEnGfn6LSnQv1VYDMglaT2hXLNLeQ/7osjCHFgcwbsIDJOMNCv24UkYZprIioWZx0OiuXE/na/JmzG0jBkBO+X4qzSmDw1kY9mLLaOETNos0phQ4R9o9WK3SI+BPV7CIVcw+rCBgh1nYqwCshxIhiBLskO2wkV5OMuQEawXT4U4nKuleAZErS2mRFz3vfj+ODwfIkALisB3cYvMLKTBxhaymGer93ITFqiQDU5f9QCNml3ntTBbSw/enEdKLFYDNeFLgQnq0RM9dPBInzCTXWylmmPT9ZBc9Pv4B/D3poLGv6UiHslQkbRjSzpVlqVgMTA/aP69n5yg9h5zQDBHC0AuMTaM/uuJHy4L8LJ2w93UgMQklrxkpGooNVntdX3H4Jx9+VPlmMCHBmR5+pvvoUmYOVfXDdLJM0NUDxPuxSYgOXK1VFueAi8f//t2HcbReADQ/HxRALBgPowFSKwBgAp7GkVAoqNRRwLogjTHPkTac8+TCR5WzCgzS0DDMICNps0fgaFm8HGIJWQ7FGdJBkaZ0jlBskkDyZAmxsw1e5iCrKuqaBzeFBNY1En9W+a6//mIVHiusO+LE8eXkgjpR7ZOpMVxklR98whA11kggceCiDgA8qvKyJa8GhI++HngOcBjhxzeVqW20zR44pSX3FAOk/msLKaqexd4xgzpWHQl0WqYsnvkowl4vheDASLDOE1ggYQB6WWQuw9gB49RI0lZdGL3xyBbWYpDlX+P8PgVB4Bge1k8bSlLhkGwfzRv18GD1PLcc9QAWYUe++MLPLHhsm3v3Sg6wGDUh7HGsqPtW4On3yzlGS39LF/3Hs8MI6TGRiyY+cVgDP9k7wwPGCMYB/MAMnZsr/HdE2Qc9C7YMDgXC48jHvh1ublk0aZRS+OAP9sFz2q+twOxXarWxovr7P1sBjwvG8Hy5TjrcBQQwyPw3IchthLMmLBOBEvAtNwhi0AwAhIY8ZMBm7hbHyBzWLSP0fvce10FsPiuWwtnikQMuvz+9TZ6BYyXC81jGDdnP8+AYslkI63rPwKjbRPuR7B3ePqAe6p/7WU0klVBOfGRVFUcT3feWrxgoEoY04I1NgwpEoMwnHrJ3oQeJoxn7BGMGQAtHG8vfrr/zQAOexpOAXwUUxrPNSO9dmThpCxYiyhqb0l5bGwUxhyMnz5JVcxOYrkYS8VUYCZFYezlpLOlgjAXgZeVuZvkzy/OKmCpe2O/Nm9mE6++c5L+69nX6PEfflX8jpON9n30y8LjJQL3safx7w1gh+bnpotf2TAeV+27j9559od4ri9W0BlgzLgoNVrq6f3f9fmmpmH6zW/OYPIQmryoHFTbT3yifEX9SOY7Azyh4BhGPeiTvq0TA0Nvdg7ZYag7Lg+8sIjA5zPAdpnE5APpllSMISQaC9gsRFPmXXllSIMZD0zHkUQxdNqb5s37k7JxI1UEMC8ecgzTCcdpsimCmxYXWPOoMDw/pIrufP003985evQsIriHoaO38yQMjRcIDTDO8004YipxBYw6fSvNbKi2+rrr6OSpQfrzc41CnmLCh8/WG7wibpMAnhQUxPr1bZx9nLb3Haaolka/qGX+Tq6CxbglBgGPB4P19P33kwygGad1cEW5G+a9bA5aj0kNM1ACsSxWyuOFvR7KR8/Ths7joIsjrpVp/7jeTDCqZs02T9CnEWl+/Iq7qNU+P7tpYMBELQDDfCXOOZCOZGTMmgrPd65X4u9bN1yg9MyDAGOcgpmiECa+Ojp/5hOo1CMRAMaAHG19tlZP8aZmSh84RhOjwQ36WA+eglQLBfwgwoxYwMIoQj8di8Vr4L3nNBEFTDzHQzQBT4iNwCINNHf3RFcOEMaG74PFBSX3ttPUuIGciDY14mXXqClRZ6SkdSWkb64nK+4VDQyOnfgsp32pkxNIqYqn7oY6wZKJmFSiqh8l5qERW/fReFoFaOQutG0TFhUf289+RLMLC+FLAUnMe8e66V14uHjim5d6nnr0E3D3h37eLfPg7Xkiob/8wFrah2q7b/V1ru+sRxTv48/UzBjp+r43LVFBLz33QzpeV4IvWqRsz2mgkqzzlJB7ACCmXPi48OLbl3X4qTuKqGzt0rTZzIIZHJqgsxcG6BieWeynEmrKF1dte2Dw1+pTveY+ica4s+t0L40gwYVBlAGMpyz/YuNxP0NbLOr3yA/TCGQ0DKhyhV3anPlV1AC53VyGyLnqMUpvfoksRgDbuPcSYwD4TiHxzDRGkdmrqFdvF75HCix0zHjmBAKaPNARf57vX75OGDSOBqBWUaijxHgXw8PT2BS7vsUbfPH8jReu8rQckuWtgy5Hg+jlYzRW3yj8o5j1Ie2D5KQhgE/M0pkFTByOCOrv58VpBJWsSaDCm26g/D17xHhjhZx34Dv/QYN13cIbRLrGO7/nI9QaDZPj0HIA5ry9+FDTwG7bUZFAG9cmgXE1NxBw5j//k0axeG1pGMA15Q++2HXJ5NzzcdIP+z/Abr4+ny67xGU8/343Dxhjhp8Ge7+xuS//mxNi+L+tzIZws2NmFr/onN7aRuqpafbzCopBchUbtkfqdJS8eQudPNIa0BsqGNslLUUJGcDKsl2C9bHRBJZvCzxGJM/LxGikLtZVC3yAGRriHsD8ULO2ihyrNgCU10B2GkNdphiAnADwMSYEkpxJv7McQMk9H1kt5HC/famV6rtcwGNHr5G68bzmZ5AZA924EXMGCAXvsb8BaV6bMIFXY4Di8V8bF02OA58mNdh2f3fnWgBVCy/Qec49z6E5BYjPN0fasynvKDxc2GOFEzAdMLcVIAzvmNv0duZ4YKRrwj1pDxBdP/OeKC3JYa5r6nKxY7hFYj4XAy8oD+sl0DlhcCschTQ20VYBAFMsgQlzEXhZmSeL/M/B48VX5htdW7Vfv2pm8xMY2/Z99Ev03W/cTxvKiug7P36KTOZJESndCkPdnr4h2rGplA6frKZvfPcxeuJHX0chIY4effw5evfEBfrdo99c1l29yHhZ1u78n72x1laYfP3yTMieLmuhW7/33jI88ANXb9+v3mo/epRqnnjCCxHnqWs7Jr89kBipALr0583epL77lXL0MMl/9zsYZ6K6gEq2hivcYHBs+Pa3SQPEPZQ2AMnXaUy82CRM2hi93/IP/0BxWbPRZ9K/19rqqVXWgSpK8CrdZksVJUd5xzeHsk+LfU/L669TM7xubOwUjxaM9VKIFKFEmLH6Loh0YPasA9D0+B/b6dWDvdTWFZg5xbHHsQE+Hw5zua3DpyitGQwRkYAAL5lkpWC5SNFrz/F5Jg+sFTehWgw7Cjqz4WqqVWRgsY/FcQgF0JUCXuKso7SnFkyqfhf9n+dsDCBxrKoWJpRcHRzafTV15laJdKcusMwMqN6y/4m08sWf5eM8f34A/jneE3cGd6qqUuY0Fl7stRDq5zRqO+3b8zSuBe/qZ0fnTsjOykVKA68pjOMWIaOYgpGgZqyNNC0HydCHyZ1ksanA80SHBVqCEtHjfTAKhWmaoMRzU0XDIDQd4Iv34lSAH+oIGvXxLQm2//E6ADSY9PpWn6OzYsixOpOicT8OtnXSRBgWEEBj03VIU5AhcjolmeIVWurrbIaZ5jSpUK1ko0VuCWvWIu68iyYgC5roVwgjQcGK0YKBdd2naHhyFjy4ansqXbktVUzih7Dwf/dYD1KK+oImgoV6Hnzfx/HsQxwvDbkLsx/iYXiZnKAS/ijMHPvap8sWBLzw9n/7h1o6AyYHS+l8G5+HU4d+Qkdqlga8rMk8S+Vb7iONZtZnRvpdu7al0M1XFywbIO3xQKhvHKYz58GEgRRpPkNpCyQndQUJQqLmsrIIE/coL2LWXOijoTcADIBNxWbHwRozYco13RRe8xaND08INiAb1jL4wS1craGestuo26XMCdj4GbJ58h2agGeKFgw7ZqBxNDuDGxFI7zNXXkvK0Q6KGgBgOIb7E3nyFjYHxT3E3yIAFmav4TtZdiaQQ274wbI9NXw4onFvrQG4ywtqaZsC+FjfPBo0wjvKOkZRDiPJYpLxSkBfYMEVNkVGPKQ94ItCYaPM9A6UO7yLPSMj2TSpyKGEvTfS7fftEsDHuYZhehsAWcahFym5+QI5MbmWNmNcCh2/8m4aMS1ebsSkwVWQH+6sTKKywviAY06gE8FyjZNgvE5BytMO8/O+fvgJ+bBbrGu20VTBZjIGMPy9/LJMuuHagg8EfAl0PJ5rmdkPzJCZQLy5eIFd3H38ONW9+DoS8Dj5EMUD9yDLYxHLf/mGyN67lzqbB6irZwLgjPf5UEOmw/5BvmwXvo+qEMuunAfkWuzzMJTPTcBXidlcZowP7OUSMdwOEMp7XAvH/DCqdAuNDowJZowKzEFO7ppAFLosFsUfXSIkSzE0xdIllivhfnPgWpDGmGciIdKMm29Ycq3ys6Ma99MQjHXZ/8wzLG4Pa6TCvuNI9ZkgBe7RNLBcIvh5c9m1dPtXDsA7KnC1XgqssGmtiFvGS5jXuo1srRy/zNI9iUxIGNli3yyYz3KSEJ9zLsY5WU8coMng0zKCgl2wxj5u4QmQ+YN9Z5H0ZQIS9uQ8MPmwXgJth+fkwjgZdgEzIMwCmDAXgZdQrv6Fv0f+bPPCP7QMn7DfmO+1laOna+n//PvjYLuM0noGX752H4A9DT393JvEjJjH/uPL4v2//t1f6Yk/voq5lpXWrckT5rrpKaGt80Ld7YvAS6g99b/8fW3Qvv/qV2fg6RI8bUfaRS7QpXxRKPtydrUZA8h7kBhNYUIgba0oefVi4FDs2kWmG24iS4AUI35/OCYE2Y/8gGz1DVSCqZ/GLdVIueQSKrrttpDYLrydw5hwjaBS4NtSYWpXAQnOXIkWhyxHaSQSA18QlYnGqaKtjo2kjPCnOC9nX0q3pYd/0AVIj8w9PTSK/NCGDn+vF9Y4l6/2Z73w5KEXVb3O7N10uFWBayqwISfTTJkxFSyJqHCijTZ0HaZVkRYklrgAHs9EgveVJ0iul4s9IkwoJWucdqTitJZfKhY/0glPoD5bKeDl6u5XSVlTHZi2jfNtyiuk4Zs/BiZPDOVlRUNnqsIixipYOn2olndi0toBiZYJxzg4ZKbaOjj8+0zmM5HMk43Ph+pDtBLXTFVZI+XlvYFNS6QHFEEHD91D/foIcd6aQOMe0FvEHIvjMTlGNDdyiLKgn7eMjFIEABclpAfT40PkGEXFdRyU50DGuyotTQB8wakXTY6JaDSArJEghs6+xxsDc1YzFsOeqj9Lk5TRGnKmF1AfwLrxqjKayAFT6bnf0MT4GGXqkAITPjvhTC0po9E2l6xIhgm1ksEXjpdG1TM1LpcuvNRI4zhfnibYA7gODdkbXEaTURGCYr1/CybnkEq8d2LQzw9pOc/RqBFgF/aPvVtUqgiv6+TANbm0c1PaghZ7Rtxr3//5SWG0G0iNcPjNH1NDpw4U8cVNZixmPRVmGWjrrk8H7IZUxIB/8f5ygDIrA/jz82scAOE5JJ4cPYmFIwx5WS4kbeGIj27bk019oNHzosKGReQkGCAc7a1Ff6c924AJ4Nxm4TptOBZRdiroepHGOmYrwfw9DIYwAONYfyXVWTPFAjXY2qRE1U/xza+TKsIpZJ5miaG0reoqqplMEwCAGovIzLB+SrF3k2a0Hc9FGN5i4RzoucGAEMsHmaHncjhy3bPFkFbx9SttHG1f5wO+wImC1GbIS8ZH8LxyPRPYx0ERg4jplAyKAq2bE9PMbs+ZtJQBLFwZXZrt58i8EmpP+ByNWGDujXsW1DLSG13SpejJUbqq5k9k73GlN0lb7WU3U1NcPmQsC7uLIvAcqSiMpq1liTCf9h/XQtla/6lT1PD00/Aqg5S1B2zLHqPftWPd9XEaj0gQjEzftmlDMn0cnkURWGR+WFv74cN07Oe/odoamLNOTQrTVDZMJfsU0uUA9sGvJwmysAhNNJ060REQwGT5KBshe64tz7FmpKqEcXYoCWAr2T98LzP4ogqHLJDN1n2aMnc1TUbECBaZp7HBLY9pBjeoJlhfLFcCI2Y6NgW+/Xgewg/MCuDeHBVDdYMoLMCcl1m8csn5Hhox03EA2xMSc2glWJ932V4jU1sXxWlgXAxAlI2uy3esoY3f+T/ieuExlkEVAbBwGhDAFPZS4rnxJKRAzFqZL3I5UJ8yI8XJIAwCIyy4rpkRxZJ+aRomgyI27A9L1YO1KYyT6rwijPXjM+wYFSLHWe4aCvAi3S5Lp3nOmAAAIABJREFU2z3pVUqAPuwJE4aH5FymvBeBl5W5Y+TPfEDAy83ewMvKHN3itnoReFlcv/2v+lR39xj9/OenaABGjKG0taDK339/ZchGpqFsc7HvOYtUnm6Yw0pbM0CXfqaE4oEc9g9fodHo4JT3eKD0cY/9nPKB7Ks94Aw+WwGWSqzEk2Wu/esD4HL2scf82C48OGxCzGV89qyrdqDtjDuN9J79GAbkIBoKfCjLlkFl4SXv64RkCpWOM5AejQKEOXfOn9bNxyJlvbhiPC3U3mUUQAE3Q/Zmag5fTb1ug0nf48+EQW4WAAffiRYvVretT6D9JQqS/wUT7LpGeANMCUYLgy0GUHB5TQ4ixZzNgOpT/c4baWBaPacB3koALxX687QaRpJOd4qP7446lCo6uu9u6p10LSDZOI8jcotWRQOE0cJcMmbGI6an30RPPnWB6pDApEe1mNMM2OCSNfKVFcnwy/ngJupRkdO0f+8fUa3v9zrEvr71dOL0FjHxboFcjSUvvo3ZP2sV7VQwdoxsYJFwFY6lSg6Ou2VWMz4wKxuXLH6VAF+0GUJ2FBcXiT4Jfu9Iv1OHBTNLfrjaH6VRogqHxCEkqHRGZNPoFLT77i/TbU2mgsmTlNn0GlmmvQ1JIxLjKUmTQD1tDWLT4djXKHhehE1FkDa2nCb6Bqi7A2CKdGElV9DoJXdT8yCnQ7nMU7ntKNZRCiRPKC+K65kXyMx2WkRaplfX8iI9FqyerRtTYOSahApPPfUEAECjsJj+9ufL4cmwsAjy94730nOvtOA+9E+NOvIW/JK6lpYQVgrGy+bLAieEfenBtdBoLw7UWeg4w1Kk9s5RmPEOAogBywcMIvZkGKtKotNxWjIC5OBqthQgLDveTQPHBgODhtiBKPZ2AaOLJQUV4fUkbzg2A05I9286KZuqEy8XfRwFkDsScit+LkoBGE3UNF1mfYMsAMhZYidNCJMlpFHrqusFwKEFiMJRz8yy47QZVdgk6YxtZAJrxNiLhDRIlLjxtvm9KqR8BQRkwKYpAfii8fHf4EUVy47Gsa/y6SmKMqFCjvEjmD+RHN4ZGlQZZQkAUK34rukxSoppwf1uRQJNBCVfXkbaqkg6cvIqeu2IhvpGbIJ9U1IIuYHbtHV7+zuU3nKOnIjeljazLp6OXHM/jQCkCaWxtdHWsgSRUJSe5C2nCuXzvu+pw5ykHyzcaSx0+yENbUfRQgrc2SG7oKvupcGRwKycyvJEuvP24oDpN4vZn+X8jAF+HuylV3++C0lj3s9zZl6Vr0ugpJJiWnfHHXTw9Ro6f7KFHGN6JPkBVBvuIQfmZpFgE06aWWbrvWc8/apEQe+DHMu8rqPJKeo4dYHGYdopbeGRYKqWbKKxQVfCkbRx3U6jDhfFnmBtGmAMm/k6cB3YtYmYp8ZTch48jdRxAHOiqabTAt8i9ueyCVN2nhfwa39EDRXCnH5qwiz+exUSzFRgYyrhoxMG2aoDkiBP5DIPniuRDMQgDD/xJwHC8PyQjaVnmDC4py3YB4tPEdTTD3aMa8wwjSkuI0OrC6Dh500iik38XFso+OLZrgBhIEfSggnDfjwsR+K0M9/jvwi8LOeTYHZb8j/4hwqszDd5b9UOk+oPa7sIvHxYz8yHZL/6EYH4s5+doF4kDoTSmOnywAOVH4qKTB/01Gfg7eJB3nnR1IwFzaBbh666F5MbxNk5g5QKuY639tePUdaJ46i0u0wyucWWllIpoilDScrgieV7SB0YgzmZb0vbvp3KYfYaSvWmFbGBtdRIDnnw+NsqSxmlR6a+78yG+hdfpHMvvEoXYBzoTu+cOVQP64U1zV2o7vUPWfxoxUPhKaTPu5Q6+nlR6T/ZLEOFkaNrw3He5JhIZGeoQTdOgPY3TKS5dEMCV1T3Fumaa8hpDO069T0X1duvp24YPnIccqC23MBLyuQgXVr7AjlgaBms1ey6mRqUHA/r/w6+ZLmCxhKr1XlgD+DyPPQOEgSwuHI6sfhCRXwSi/2cvGiKTVDDwwZVefSta+G+eJp9KM8A3/esLWqn4uJXsciarfBDtEBHj92JGFkVgDiDYA3MTJRwbDEqJ2VRD2lH4RGg76VweFHE2lAhRwWVwbRZhhLkECKi1kUI8xwZ4yPTUfBjgX9FF/wrQmnRqK45wVBwwnPCnllMfZGZyIKBVATAkG+Tyabpow8BIHnqDzSOhYNvSyqE2W9PN9JXXJNvxRQWxt0wHZ1WUnpxLrWdqCYDzhUDY542kbOealUVNDAMw1z3L7niuzYD3jKQ7TAIwhI0fjHbQAG2AU+8HTg8BmNCkczxBDYFps6XbkujDZXpMwaVr7zNsj8k7LhjSqXHswuSpxv35S74mf4IZKlNSOTxrdyvJPByzZ5MunJXTkjP5lCuibne45EfdfXCVwmR1rUNI3QCAMwgLtCeK1ZRfwCsLwk+PbF/bkJiV2AgMBqV/kmAFJw2laaaoKrR18mo91/A8bNPX3WAznbPAqqCKQZAJBLADTOm4hH9vSuphwbffBmA0Oz38TXFw1nUFR+lgbBUXEsKYQIdEEhBSo+pv4Mi9B2k0SNxyAF/CSyOfZkI0n5ihhmDL9GQgUkby46aqjvI1o/UnMnQijj8jJOxR0Z8EgoUkAumTlP8nixyJBrJAGZVe1c2/fWtvTTojmLWQPJUDJZlJNgEGouRrq15hmwBkuLqd1xLjcklM75Kgc5zDEDY7fBv2YKkmfgYGHiGIHcI5ZpiA9KTjzxCZqTGsASHPYTa2CdNklZjzy2jqVKAakEW6FsAmH4EBqwL8V8KZd+W8h5mgh390Y+o6+RZugCfLl8WWDaYlzn5ybT1K18heXQc/euPTiLdDwbPuF4YkODrJsJmpJyYSRrqGoJv14gAZKZHB2DWaiP2h8pIXr7zsJRj5c+awBwZOntO+NxJn3HqvNU0Ifdmu0i/i++9aIAvowHOrQ0D1wjksJ5nuZAoirE+nOJQdGHz/WkAj8wWCoesxolxlKVeEXYrRTospIOxu0U/ggHBAobbNNIFkbCH9+nAMAplvrrUPvH6vBuEmULRkkEYZsJYMZkRfi9uj0Df72NfqHCMv6rMXDJ2dos/RwMQZibmYoEX6XfIAEBFwHNGi6RNZXQ0DMwVLiYMOvwi8LKsZ39mY/Kng0eKr8w3urZqP+CfxruS37eQbV8EXhbSW39j7/0x5C0//OFTWKwu3FRLXLighhYWbqT09D0hHTmboT74YAUo6++f5CXYjrG55XsPP0wT0FNzE1IGCeiiKC4m8wOfIvMcZnWFnR1U/ONHKNzHl6X405+mlHUwBQyh9SCK7xwipJ1M45Q0GQwXt4I1E5Pucs8OpR2bAusoAu7wWPQFapFOBW2zbSRt5PK5b4eyX/wePYzW/vC9X1J3TSvZJRxuqLuhN1aQAXrkQJ4P/FkbJhMjpjAaL9lPPbY4JGG4FspctYkCoqDDwLsqH/GNWGTGxyiRBMMVf0QV+wAIZaj2rGlBdVjv8p5ZaOtYA/ZN2SVg5WDi49PFywm8yJEmck3XyySHmWSwNlywjo6W7AvaZ76fa20Zhi+AFZHEkZQMfbcaVV/uv7//3HoY0OrE9d/VOw4TMTZTnYCnxwT1uFObGIwJJbZ5of3J72dN//49L8Aor83r4yMjRXT42F5qahujtk5X0g/HkKeF6ynN0UPhfU2gLY+LCqin6WAyrbP0Q2I0T+QtT1Z5e+wTIIuiqfhsMk2xaTGuRmH8538k8QnwWYHEoU9TQJ3hmTRmBcNkjoL4R++HoWKMnqIvgBVw+AxYKt6yEXkMorvj06mrpRY0+3AwsWJIjjQV3RgmxHkFNI1Fhb57UJh/svcQnwNmRQxsuxvpWd6aQv6vyhwlJHmzvhe8CIzCojgeyQ+xMF9ltoIKHgIsh+AuEx5AbMzsPlZe1KzKjaadW1KpbF2Kny8FS2Ee/tlJXCOIuw1w3P/42XJKRxT5Qhaf3TCCfPTxczCN9Qa+Vgp4yYLvxkP3l60oE4AXlyYw62rh9dIMpkIjUpWYMWJF/3n62rQ9hc6ALWUGgMILCQad+TTweaw42EbdZ7Aw8mksQYiKApAMwIWff+zhcpX2DE3U+8tT+aPWvCo6KysFUOwPKnJdoQxmt7FKByVeeJYm9cPivInYaDBSeBGnWgXjzvIbAPLMD8LqosNpGp4aDJzo4LsU2Q9T9B6YS5vg6RBEo8mL6WIkfOkAmHskoGOQGYx3u6SpC0mJYvCF+1CF51hilY7kMG2XZSPBKR7jgNNCf33jI3ShUTnD5mHmS3Eh5AUAXzZ1vEc5LfACM3o/MyzqaDp63YM0NOGv302OU9AllQm0aV0SGIVYmC0T4CI95QakBJ5lzze3T9oAnsns+yIFX2zbboZxd2ZQX6eK0iTavkUOM/WlmVcWFRVhnle4mMe712dq//IXakURpqV1BNGtZq/nLF+T68EYWv/AfZS1aRP95ZVmeuWdHj+fsozUSBqGyTrjclJARhtmotv3xMNR1kgT8JMx4zWOqGLB4JhHQrLkAwuwATbAH4LBLMt2+JnASWTMYAzHvE5RspEMAdgu0s24DMwBvmCuwdeXDPfLFOanzASWQ4olhzyLJVnh+BkGUEWGV5jNHbfMY5jbN2can1XgOyOQADkNqbkWY6gSMe9swjyN7QGHFEUZTV4eRQBowIJvJbpj3m2yjJALnJMAXEYBwHDQBRdEfVknYtzCszQqCf5mKJxMDg2LvkkE6DSXye68OxDgDQzCeNKR2Jz3V0hCW3vyJC3S8p0YHh/5+7+n7yM6/mKb7QH5f7uYv+93s39k6c+0ldrni8DLSvXsh2C7n//85xHby077i12IG6m0tIk2b7533qNhSchnPlMFU8aFRXfOu+FFvqEGk4A2TAJ49GemC4MuQ26miwyDgPyrXyN9WnDQIx9xJLv+/CyNsExJMlhpIC+qhDwolHQBHpDfw0PYACmOb8tEus+6W28Nie3i+axl2kKHrEfJHBmc1ZGMeNr19MFEd58Gvfi1R5+kiQbQXUFNd2BSztGnXE1IjkFkqY8PgrRPGDRgOrqzcCuNpVYKWrwFExleWIxjG0yBX7smXjBf5poIp1r1tLnjIMnbQVWdz7glwLU1mpAB6dH1NGTHgl1SgVxO4GUboh8zGrAYCFL1daBCdXjPvdQP74JQ2gQiJc9fgK5a0r8MYpSWxNHN1+ZTUX4sWEKuRTNXvTwLIQt0OF1YHPcOTICJBOaQAGXcEdpYzwX0TwllhyTvWZXTR+srX8A9KDXdC6MLF26ltw8rqaXDSLGRVsoO66FosFvsw4Nk8ZEG8OaisFjk29eOanGiA0kaxtlY5kC7FIWFLEuGxK2riAT4kkMTdsSAuqUY/HueyEUijSgCUZaGhHw6N6ILyG7x3f6td4NNlAQvHdQb5ZC16Z59h/QBWC/xhWvI1jtEA33w1nC4TEd1qNJrzdOUWlpI9W+foilco2OCpeT6FnPGWmpK2IbteTMimG+3MZ/ZQcHvfV6o8OI6HulLsQBiGIxhqVZVaSJVIeY2f1XcnKyVI6f66E8vB5YHrSmIoU99fM2C5aN/fKEZHjW9Xn4EKwG88Nr4K39XSjlZcQu8Qud+uydmvq3TgKh5xMy3jSMJzSSMPwMx0aaRuFK3KZXGwDpzDRuQrUFuxABMUgd8il5s9YpYFtIDsJfGOPYY0eCeVh49QOk9h3Av+J9vOQx1GwtuorYBf4QsPTWK8iAxaGidoM1RSH6rfk/4sChhgMuMKWHMy+PflXfRoD12zoPnPr1sSwpdcUmmuG5+/ZdmutAOg1/chyqYgmuHmkjWXUdsvmkNIpcszgHzBUrJUbA7OAGFO4XHhTFE84YCvgjMg19JGTRg18BbpQf37TgWuEp4wSSQpjiNesIL6eUTm+AVNXvPsByqGIUgHQx5b6j+A9m6vGWOfOBNW66k+oxyjDPMmiPKhjfQro1JiN5NnHlOLuvF5LOxZsRed7/1FgyAXVIoX+aLEwUzx/5PwFwVTLwg6+UzJx+DzA3R9ZCgLKbZbON07X4t/cfD34Okd3G+Nfy9A2D0nnr0UUhJJoT5tO+5TQEzc+ftV1H5xz+O699G//LIiYAyxNV5Smps92dDXb83i664NFvMl3hexY1/joE9wXIWI8xd2eCVwRiOvRZxxyskp+HvnoDkVX/+/EyXMxDC0eXhmQA0w5BPCBmSaG4mpmBkskk1vG7C8QrjnxhB2HfJMjFFU5gL2C1TiEVmM2IcH7YnZK2SuacHwHV5zboAQ04G9EhQ+b/lKMppERfPv5RB8sRAkEqrIjVi3LX5+aTA3CKC73+ADlycmAGtQqFLLuYCC/AZjhkfREF0HOAjx07bcP179oMPl6WazGrVrirAOD9JNgC8MTEwJwabb7GsF9Fb7vk/j/vhkBtx3zD4wlKkCEiRnkDxUAVrgXhIohbThjE3SXrwQay5frCYj/+P/Yz8v+o/kGOz3170gXxvKF96EXgJpZf+Rt/zfgEvyRhUP/e5DUjEWCzAs7wdPNLeTkcBeDDLxOEGXfSSmMuoa6+j0Sv2CbOvQK0UoMsBo4HOf/e7QhcrbQUwws3YsiWkKlgX0PMLv/2tn9N7OB7s2//xH0kbYiKS9Pt77X10hqrJLg8un1hnLabciKyQ9nF5e57oh/9VTQMnjpLswkHqbRuYYVKkxEIqhP6Wphd4Ikm5HMwVpFGOU4Wsw6xLp97MS6mxz8VUio2OQBVHTixjC5ZiIj2OSOcUXQJwIxZsg2D+KXMdtzVCQfVbr6We+NwZ6cVyAS+3bryWtta9Qo7h4Kyc+t03U40iO+hk23ffW+Cd0AvQROI7KSZ8FfACYINRvvSZ/VKMxXN+NjxzAMLkZenEJNYjc/OYEjP41cPGvaC/MyDDYEw3mDEeidJCCmYMclx+2VugCsM8WNLMk+n0/Iv7aRBxo6nMbultECwWKbtF+n6W1DBjw+yW/ChQCUx0AnwZ9743PZ9h0InZUV6LFdCzrQm5ZIBfRCT6JALSBVPKGppMyCMljDyb+6yiqu5K0ggu27n2FogsVg2TDclanhYDnwLr6fM0YfVOdODEmaSEUqo+7zKX8/jRaJBOo1YhOnbCREPtfTD+g5Ekx966Nzi05eN0oZ/NEL3PdBQq/+vSlTgn88vp+JynJCkpLUUL5/4IWp0bQ5lpapx7NWIS1ZQQ76LsS68B/rYf/OI0NYOB5CsT4L99+s5iyDjiFkRZnwLo8B8+TJqVAF6uxcKMJUahyDbnuvc9SS2diJlvFWDLOEw0DeK6CNQn0m3xcDK8G8Ct0p9hGo5zufW9DmqvHqYhPcd3oxoNM1skxUNu5/pvT4uOtNPljnfIIIlWlX6Pad1eOm1Imdkf4bsCmdy6omiwceBfprdSptZC+W0v0MTY7D3C74sE40VbuoEs2AYzo4KB2LlIVLllfy6ArNnF+CSA2idfbqWTDbPb5IWfdqSV1KPw6oCn0RRAUztkIZ6msE9QonWA5GDPSr9rPvDFNTSDiSeD0bUuk0atqE7ju5LiDbinwPqcnv0OuUoHo/w91DSNWGx5JhlhIMzsNpbjrQH4sm3gBOU1n4KRrzdYa4WH1rGbPk0JiTq6ZH0ircE98n6b1h7/939HDDAYK24UbxRStFawANkEmZsjFSbAmzFfGQs83h9592d0oaEYi8rFAS/oFCotrKMdlz1AqQANNyL9rqIsCb5YoXvZmGHQegRy6kmwUNgwuKPb6McW3La3lPZ++2vwzdLQsy800Ovv9fkBlzmZKpir417wCcbha/ubf18Bk1WwnOZoDFjw/Stir+E1w0lLDMqM9/YKhoxY3HteSwAaeE45BN++KYAvrge760Etw7wufFUp9TT3CgCFARY2Fp4GG5JZK6zD5vQ+F1uFiwIMIOEax7/nAyE9oIvn8OUYW5UY5zhtzA4gU3ye72/IDKMgBwyzIt7ZPQDyWMC+URHwNJSzvwnAhnCW3ACEiQQLJgqm7xHYdy4msvRGAFbufgpID53zLIT2x0mwyPUAXhiMZdaOE9e/3Q3CTAFsZp8zzlSLXVsOgKZTJB7Ggd05F+tFPF+ENsuVgsQsmwiViuR48ZybfaP4xYCLp7lkyq51wC+OHKFCnNdF3kk0jm1YLjJe/C4A+RP+NguhXSVLe5cdhaIPa7sIvHxYz8wy7Nf7AbzodJH0hS+wnCFmGfZ46ZsQnioAXcYaGsjuBl2GJaCLHNIe20NfJGNUYDlUJQbDu7DI60BkcidYMzwAeZoCxlyb/u//DWlyxpOAQ5A6GQPQgDlGseSGGxa9SDhrraYueTf8KAKXweSQNmyF5CgWUYXvdzt4opt++GQdjbS2U+nECVSgusWCmgf+VFC4eQLBIAvPM0UlGD4kLHPgiTLH7lrx3zxfcII2a6m4koYJC2T4rvDcRgUKOacchapVrho+SwWtJwFy+HskhNIvHcVbqGntdlRnnXT4TRiC9lSA/7xIIqrDQGVpp+i7ORkU3hScGj5UVE7HivZgIRaa8SOzVs6eHfBbFCYihnE1FsmBFqKsMecF2Gr4v7BJb0FuLKK4tX5VXs8ilKv1XX1GLPiNQqrUhoo/yyvm84tJTTbQzm1/xPn0mFtigmWOoKY3V1Ptm6hMMrvFbdoZ7Hww4MLXjgmJVNLGdOzk6SFhtittkZiM2oSZqfcWZaAWROH+tZVeRrWokPdQivAVSE9VUj3MCnnSKgtDpCWzRtA3EQA5RCWRF9wcyIFtXr4vjNTlSIFgUxVJk6N/Yp85BOCwfwbMlSFC2DKJRWtuMYUhgWl4UC8AHSHpwv9rhi1UCJPJmtePie+OQAwve75wsybnU0P6bphr+vuA6CCfyouPAEMpcGwnxzWnwAchGec/Eq6ggRbWDMJFIwUmlz0XwFTMTNUIME6Bfm5qM9Bvn6kXMeu+LQXbXEy89BmwsX73XOOMoeRyAy+ZaSr64gPlqIgyu3PhjZ/VnN5T3wz5EI6/pmlMRLazdGAhQKMNptf1AIeNYLv4trU9Bkq4MCwWSOF4bo8akEDWBOkfQE0Rtyv5wOWxjSRrwnMLiw/fFpaUSecS9wqPGBfDKRyAgVoYSLd0mIVHFf9+q+w0Tdae9vu8HFXwvvKPUJ9JQYmIDudoXw3YhJ4FCFfTb7oymy7ZkhGQ1cnX8FMwTT5cY/DrGxXuc+1wMykApNqG4Ms02EXT8GdyYMGpg+aBU4/mA1/Yz4J7Q3gXwVzUqE6lCdusv5pKOU1rVmHs8zG0HhlLxP2SQmFaSFLTiqhfmUNDToDLeNiVQaZ3oPV5mm7tnOkP/p54sDB1dx2gtJuvXjCTa+FXWeBPjKNIdBY+dHZmA7kbMxgbmwAeuJ8HtvX7aSK5aAaMkW5puYCXzdvvm9ksJ1axVKsM3jbrSiC3UoMZIJlDSb+fx4ijP/0pDYP9wffRWdzrE27QyPO++LgouuvX36MkmLyOjE7Sd39yKqC5bG5mFLX1+D/XbtyXTXt2Zi16vuQBZJgdwzIlkyf6Gj851ccjV3LyXC8AIOMxgBbjId4zAXmR/tw5weQVL7fcKRpyHhkXkAZGhcm2ADDmUPbwdc6sTC5GcZFCanwt7WN+PkiLCMxUYcCTP+OKdwemg3HFFfcOMAZFAQX8jZxug3b+O79fgVRAnsMGYo0woCHYH3gp4IEShZcCoIwcIIUc91A4kA/22BPzYT7eJQBXnmMbx9g9DCYcJyCJ5gZLrIjxncC8wA4mTBhM5zVZeTTe0UnxCSqXcTbvK/aH5foMpPBPju9m5gq/+N+e/3ZtNnCB1feOvAi8LNdTzXs78sc/IODlzovAy8qc0YtbnbMHVhp40WLy/jl4SGRmLi+9eymntfG116jpT3/CgGajBlQCDNIJAx7Ays9/gQbyA7tdlwN0+ThGtUgMNEf/6Z/IgkqJtOXcdBPlXH55SBOATqQWVCPxRxqpx9tiSuO2r3+dNDwALrLZseh813KMDFGMsQducfYY2jy9PiSQaJG74fUxntycvtBPz77UDtf9cWofmKJIm4k2WLGA6G0DNXcCMYdyUO6RtoMFjZT5It2QDcALT0B48csTC0vBNuqNXgcTPpeHRk5ONDyHQo+TzJroQeT0eyRjo7ZgfO05OmAoNY8at19Lf/rLz+hc19KAlytjX6KH1Ek0PRU4Rtaqi6XDu+6kocnZhcZ856YD8oWuLpPfBI8NiaOZ4x9CYw8FXoQwI2Z1XgyAmBiRHBEI4PKAMfqRSWIPjz6kcnQCjOFY60kAaQxSMLjGU53LdhzDZOkEJj6QmXWBydQ6RSMAic6c1AmfjPkaM6RUYAUEMzxmqnYyDZHN7ZPAMhuORZbOCSPUmKzFJZAjOoHGJmVYFEyTactN1DKhAwtETRdavRNPpPskqOEMimDSevkeLFS3DdEkJp7s58Ggk8szxvUJ3Zk2cr57msxhYM7g6G3mGBqzAWjExLFgdS7VnEbkqM8kPFUVT0oswHsbOl2pDbjmTe5Fy/CGW6l6BKkWDNT4tCR4AyTjXvLcE/xnlhSlpqjABkCFD4hSqJNN/ixXTbmimAsQhiPLz9cPCZYTpvLimz3b4p8fuTaPtm9MDUlqKd3tXzx5nqobEF8KT5HlBF54Tv3QfWupYFXoKUaea7gH128LfDUaWg3U4Ga1LDYtKgz3UPflmdQBZpVv0+B62Xq8h0x4hslkTvQt7pkeswBhXFImTkJyCNA5SzlO5YZ3YKjrzYgThVwsqsY23kYtY0pICmQUByZTfo4GoOgkmAKzz5Q8tYHSml6EhMGfGeUs3kq1spKZCF8PWyYJoNq29Ygqvmk1riPdnNcPX/NPv9ZC75wbDeiDpJJNUVbTKzTdUUu2gV4w08aF/EML4Fztk4bkYb4IjyMGXNAnYgEak0ijEYkBI59XZY9BRockHI4odjcnig1tnashS3UhrpFYZIZBnjQJVttodA7dCno3AAAgAElEQVRdFdFBhY3HKcxkpCSwL1NxvEqAnTKMx85vfYuUqPp/UK3lpZeo+403yOFZgGJHGAhsbBpGChRkiOFycuz7BFLVovyeBysBvEj7gSWbZQAT15YkUMmaBEjWsDiXzKmqMdfqwJyLwYeBQZhMA7j0Vfju//qDtPPW/eKa+v1z9fT20X4/tsuqLDX1QO4KtY1X02kV9M3PcTT88vsGep4D42DHmJG0w0wZIzNlIFcyQgrDLBk7WNN87ToAAnDcMl8vJkiarIhilg66zCSJhU/OFD7Dv2fZUfDiiQtIYa86KTDD8x1fENYPdOFhAtMDh/C3c0lLGXzh578LxHF1n8I2AdYLe8LMjh/MBI2Mjxdsl1AlO8waEYAGs2QAcESxIS1AGZYqMTuGXy4/GRebaCFINYM3wwC+xpqbXZ/1sE/w0zAJJhDmDVwMUeXkU1gk5jJjw5SeAY8nBlvc3oxSxspS79+LwMtSezDw5+W/rl2ZDc+zVfvdYAJ+SNtFxsuH9MQsx26tJPDCpqdf+MIGys6G4dmHpI1jQDwM6i5XJBrwUB/nlZOkRe3YSYZbD9CUJKHI8+dyyIvugKQhCg/07vfeoyZEPk5LInrC8PuN//zPpAZdc77mwCByCJGKJlSzfFve1VfTGrwWsjAK9H16xwgdc54ie0RwyVGRNZ8K5KtCAormO6a5/j4yaqa/vNqChdUYJhs2GsakoxVGoF39mLRgcrF1+gwlmtrIDHlNNAZ/MxYZwVokZhU8IDMLxjMpcSSvopH8y6hr0CUBqajgKlzopoca0N13DBwlbUs9TZtDS9MQ++dhreqi6ceTAySr66VU7eIAsz6YqUbFOekBVC55kRUo5vrslXdQMyWGPHexwuzy3DlU7XzYMVz9XoNJ8mJkFzynZiCG/RGKVumwsNOBPeGinc9V9eRYXY60ZpnSgN6MinwfFvJPkakOEbKQV1gGwRSZGEd8ajJ1dmOxMw+VgIEbZmUYsPCYq0HxTylhegqbGBMLNp70c5U7EvepLDGNJpyRrmht6XkHGJL+0Tvp+drIkPp606Zwytw1TGYnL5x5zxDRiecfAzLc+Dvt8G7R/fe7NNrVCeAljnqmIgXDRUgeVuWTcsIIrxdMyiWNp8RVufnU/PJxYbDLC2sn+p9NqJ1xaVSXdx1kI4EBqiywx9RI+OL5anrqrHRoqc8V3j2u1o6MmagX9zB7ZbC/khpMGzYa1YK58C3ES8fAyytU5hlvc2h4kn78q9Ng6tiWFXjZf1kGXXMFKs1BKvL83R4ZXXvnGK49I7XjxV4t4/CamI/iH+pzcXJdLNXnIu41QIV7E4yvNS0G+LhMIlLZiO/1v6Zddg7TdKnzEI3U1ol/CykYLjFeWPF158ivomZtFZgQTioCaMi4GLNcpCbjkbh3N1vepolWl7xN2uRIQukovoX6fILUVFhclxfFgv2C50ZBHK1H/HzRatfzY67r6bl32umV43qvhbZuagiG06+QGYtXbmz6qZTBKBQmuFb9AFJrzKSC7srjMyWkIbjeRmFOyiwXXuTZce2POtRBLbqiIMVaVwhjVmxTegMP6dOQCKYTY46ncfqTUqsmdeE6uiVlkgodZlJCBiKtgU9fey3Jr7hiwWBiqNdGKO8785OfiORD6ZxDRHA36mkc6Te2xBxy7ryZhn1YcCsNvHj2XchVMHZXgnFaUhxPpWuTqR+yjAuPP04Od/hAdd0gJFHeLL2E9RvpMz/9MoD8KBqAfPXhR0/j+vce/3nbORlR1Nrt/6xj9tXlOxbPdvHsv4f1wv89icW+BXNEC4AWCwAUZr1M4WXG/NFTKJvmax+TjSn4djBjywYZzBRk5xN4DcMY1sN28SCPuoICGODCSFsSojAOHyMx1/F5JrBUiaWLgZoUfBGpaZK3YXoKubarsCFtHD4QHxMFiZ0NXlquvmUvGcWUyYv1wv2shFyLx8ZQgZdg166UIcNASJROR5FuyZIAZBgYwf7PADJip9Cn7DHHL/xbiXhnTmbqQn9a0PcsB2Jwh7c3PGym9nZIPFGk44mYcvetMBt20I58K5l5HhfAmDeU+2yu91wEXpbag4E/H/4Yik4fQHPcW/IBfGtoX3kReAmtn/4m37VSwAsb9X3mM5W0alXih6ZfeJA6hpSArtOnBehi8gFdIjAwOP7hqzQWoLJVCdDlLvaRwGDBA/QpmGMZIVWStjQwXQpuvDGkxUbbu+9S3dNP+7NdUClgbxc19mU5Wp2tkVrCYVCGKmqgxpPLLVMbKDEy9GpwKPvliVHlqtzrh9rptYM9kKGYaWh0SlRSebDUIlmnpQ8eO+5JQn5YF1U5gXyPDsJIDhMUH/YJV9010HJzMgv7QvCkRTrBcELHbyq7hrqNSlRZwqkEFbiFLPz4uDbpT1Nu6ylyjARmCvElw4tpNiXliFVeXKsRY8j03a+AwfRZxJOnhNJBAd7D1o6PIAnrO0h04EU2pyCwwaQnEaWrfAedzdwkjB5DbV1dY9TRafQDcUpK4iE9mFsPH+p3CF8FLMjWFcWBCRMNMAWacDcbJtCijO8fPeR1ncd/RwNn36DJsVEkW8I8EMcMjzxqakZMJNJ9BFsk2E7gDzr4+swHung+ztGcOvsQFgAmxM6mkpPZLSCymMcRfRuAwpDEUh0olKZ2HKB6U8ycHszlFWFUcIWBJrzMgSU7joocX7ss0Yit6yb5n6qpr8dCBoBVJndSkTVcQWVlRVRzctaM0bMFZUYm5YyaqONEk6h2huM5xHJ9NpYeq7iWLphQ9Q9gSs3JNFtLoikjUYW/h0alDvWc8/t4kaSH38SIZCHFx6kEALNjQxJxbHNSvJpSk9UAyNhHyLVIn2uh/uLrrfTmez302gs/ogtd5UuS7ZVmnqXbPv4l+tKnKgIumPk6HEWCVH3ziDDFrW8ZE9IN7stlYMl7dyXAqbZL06mPDVt8WqJ5iqrAdjlfNwqmC6LQ57i918pbKa7rqIha5uuJ38sgAv8MV6qpu/Q2spECRtkqamxjuZ8/gFOi7qfo+tdwz/mz6uyVV1C1OdOLNZGfraZVYDoxeOvpFwZ5khKiaMuGZKqE30c8/D6CPWtfO9ZFz70LqSN2JXmkhiLO4J43+Btf80KLzX2jZFZS2Y1ICjQIVg+DLry45DHFFqGmcVUqmSTSomDXbEHOMFJhRuDhJj4s3mazK8B6yZ9ZfPLvmDmpw7jCPzPkZspDQlNGRjqlYCxW4YBlWMCFYaHn/Pa3KSqEospC7qGFvHcSjIvTkOxM9fR4fYxlnvUNepF0ZanYR9b0YiG99bT3C3iR7hRfm8nRNspEMp8K8c8c9TuO8awOSV8SdQtUuXG0/1++Qdt3uGJdn/pjLb17YtDveZuL67kP3i6+lyx79HwL3i6hsF08hrtsvs5AigUylimAKgyWiJ8AWtgEmsEWIZXhccEtEwrpPLGXCq7hHkiMbGBwceGAv5OlR8wGSUBKpglgIwM3bOwrtu9hvrA3mbhEcY1jPsSvuRrffzwWSNmOzHLBUONneO9JKWNAnOcroxxt7R4vIq24DxmgkDx0eH6jTk4UAOdSwRffYxDPf7cEiPtElZREmrQ0UuPFqUEaAC2xOTmkAuuGQRqP0f8wwidOPfYY2dGv0nbmTB9N4JnNu+9UADC64h7aekk+kvkSaRjzc/bZGYEZrhPn3DcdKaRz6vOmi8DLYnpt/s+E/8Lb42/+TyzPOxyfXLs8G1qBrVwEXlagUz8sm1wJ4CU6OpI++9kKyIs+PEwX7m8GO04/9RTVYpE3EaD6qbrrbhrYuMlvsVeJysAdoOYr3NTFITzIa6C59op/xvYqv/GNkKKfeTA++K//KgZh38bAzWr4uyxHVZq3jWGfDk8dp+FInxKm5Is1qBxuc25EKkxospNA166YYDCDCEyWTpjntcPjo6ZhhA4d70dVHEZoPrHOvI0ITAIsGIgH3RIh/l3MtIGuVFZThB6Rolhsehp7ePDEgSUSnmYwwGgXk05fdZCxeC8NqXIhYVFTUlLoBoCe7a4ytlMVIkanu/uFBxt7iLBkTovJoxa0ZgZcuPkuIv8BxmufwUC/FODlR6Wl9N3Nm2eO0TNZHNPEU+01d9P5FjMMPY0hVeGZTXH2HKKVffT0nJBShsXSYtguoTy3mA3DTJii/BhaBVlKRppW9BWnE3SfOkV9MJQea2kkK6RwMkgOuPG+jhqmyDieTCMjCZh4uhZ5zGriiFqW7vDiywPG6XA+mBUQir+GBu9l+vRoYgklKS1g11wA4BI8bjoxNoL0WLCKyZwM0rdtt1KTBd4vAa7hkpJwWnftGI1zZX2OxpNwrk5bz8aS5k+vgzrdQhEAq+wZWrICzePrTJ2dR2qrmXo6+1x0cvfcm3/kl5WQ6c1TSOZAhRJ/kGOWbWGjX0iRGlffSN1giYhrEq8oyCOUkGywlwv3+/aSGFLgCwLtfyjnM9h7+Jz1DxkhI0O8dICFwhU7UsVim/cqEceaC9PmHBwvG/imp7qkgIHAmH/7yQl66vGH6Vxn2ZKAl4qcc/TCn38O82AXiO0BgxtbRoUpbj18WnoQacuLkEDPp6X0je9nTUjCqUvWABTxBsAYqNp6soNOvQaZkc996tqGC7BjP6EMHVgcA6+SBQtwBt+whBFeJ3yt8LU1ue5ysiQXwyNjijpgxhvo3tDC/6Ry5BWaQGSzb4tISKHGvOtpeNR1LbFMqbwIix8ZrjW3aXWgPhHst0JmwUBusiZJ+Ab5PlsOneigI088Q6azJ5A6FlhGKc4R/o+vJes0wBCFk+JUSHwaGoBJ6ThNa2NpUpUI+RyYMXOk33n2Uau2QhbJx4mFLt9E7g7pG8hCfDnkdniuM+CiQAd7gJ0wvHH1VBfFhk2RHMBLPBaCiVgQJsN8M2LXLorYv/8DZb30HT9ODVywkUiO+HjNYDI0QHbEi1DLvk+S0aERz0xuHwTwwvK0rCGYP184K55t0Rg3bQAaWBbFoIFnfpNwyyfo7x7aB2AmCkxII4y7zwZmu8DbpbXLn+1y8/4s2r3dO8nIxsAK7hE2tp3kNC30FRu0CtYKftq47zwR0zzI8CuUgWS+BwIOdARGvcOYH/q2lPXrKQYggzCIBehiBxhjA/PFCtBnEvs50jsMaS1Mg8G6ZCn1fE0w9PiSduM17M8iUo58JkPMhOO5kwfG0WAOEwlwk9lj/FYZmF0KKxKepGgYtquKZtZLzKLimYW5rRtgF94qnAzELBV3QpDwV3Gb2IonnNtfhVmoDMrwS5WYSGo3EMP/1iQn0yCKWi1//auYd3s+09VlgFmzcSat0ZGQTdF7DtAXPr8RYJxKPPMt6ON++AvpEe09Wl+/JBDmIvAy35W5uL+H//zC4j64xE857lu3xC2s3McvAi8r17cf+JaXG3hxGelWwUh3frnN+3nwrM1943sP0xl2sQ8AukQWryHTg5+mSR+J0WZOLxJmmi5dPj/IL/zmN6QHu0HaEjZsoOK77gppUtZ68CDV//73rjhDSWOEfzvAGyUmfMvZxp1GOmI/QRZFcM+MXFsWlciKQmKIeHTPDAr09MNQtXcCE31otxH7OwRD0ClMHPqwoOngATHAYlV6bNEJkdTcg4WbhJDDTv83x9eRor+ZxofGhJRBybp/n0WLSDmCj0igBaU1HfG/uVuRMBofsqEmTwgjwH7lhKSyWCuta3iLYmAAqYFcY75KPR/TSgAvnr6a/trXKDIrC/NFZoXAWLF1BBVtIyqIY0i7cZnY+rYeBsBAxfWt3hfCFDERbIvlAvfmulajFKiMqyYpy9lF4R3VFGk3w6aE6dFIdQjvxD7wohfnkdlLYGX09a+GFG0WXPNIKXi5KgyXcf/xQlQ/MiUqp0J+EWQH2ChQnZ1N03mldNqUQrBKge7dQdumT5Oj8QwSEvzZAAy6jADQkZJgpsFSMG+9mVps3sySggIZrb/JSIYZY2DvHfHwdVhaZzYDIGyIpbN/kVG2s50yBo/RxKiR5DCVtKVrCLYmNI1nTwlYLy3VHK3ILBmX5ZDwM0pMpgSYBk4cqiGTwbVwlWMCzSlO+jVXUK0tQyx2mWnI0cDSc8uL+90VAI7w3kWkp8/5KBoF+Dk0MuHlH+L5QBpAz6p1cX6sCw+YycbNWTh2frFULTEeaRrY1/O1w/TApz5HJ5pLlwS8HNjdTk8+/lM8k8zU3DqG+8UAs9pRsWjn9KHlWGuF8pyeBrOvaVs66WGm7GkCiMTYogPbJuz5FmGE62meJDeu5jPIy4vWaG0kpfe/S5YaJO/4LJL4c7rsdIq5/i46fm5cPHtZtmUVPlnee7he3Uay6ncCbsMKX6Pz+hixUF67WieYUgwGLaSfmAm4oTKRKkuTKCsTXgtYRBnA0LiAgkfriQvUBEA+YMQ2voSTV8zw92KZpWe/NWBPZeQgujmniOzwb7AMAEhG8hDLDEIBX9bkDwKIHMMxuc43v+yInB435OFZ4C/J4N6KsYxRimWQYqJciV7CwwJjciqMURM//WlKx1i/UCZlKNdJqO+pfuIJ0p844ZeEyEWIhiY9jYUnkuPyjyEZy/Wc+CCAl2RTHTnOvwWQzXNds1k0x4M7hUE3M5vUW/fS7ruvp92X5In7/olnaujwySG/8SovQ0m9egASDhcIKYBI+JPEhJvpwC4wqi0Tgq3CrBULgA/2C/Kk7swwVhZyEYd6InzeN4XxqQ8LfJtPyiUnA+Xu3EnTPmCZACfcQEMv7teOHjBuAKDK7ADxwcx0mmF+i2IFM3QcACs9ZrV8KJ4CBPdFJEAX1/PM+2bn5wj3s29TA5Tnv7EZPX8kcgqMWKQqSQdSfgZoUpLg0+LPepkBVvAmBlA84IoAWDBPFjHU7OvijlyW+n8tqmsZoOeiJ+7DKXjpjMMAmZ8r/H1hSJdkZh8Xl/iZIYCoou1045c/SuvXe5t/83yVQRgGcAZRIONwDQZxFmICfBF4WdQZnPdD4f/5AQEvD1wEXuY9ORffsPw9sJzAixqMhIceWk9pabHvy6Iu1N7gAentX/+aDsKXZdJHXsTbYDd22Ve+SsNp6V6b3IGJ8a2oLEsnWWysdhreLA4MANK27qGHKHG1iy47V+NqDLNdJrEd37b6lluoYPfuFem7Vls71YY1wMgzeBLORkslpUYl++2XVDbEyTVdMElt7zGhajwuqPnSdQAborZ1GbHYCl7VlH5BhFJGsKPzYr3w32NgmLovqZfSxqqRMoBUgSATJzOkTPydgSbzTrBEInbeQMqUVExUvL18+DuYPMM03IwUNarwKsrGAjAbxmy8ABQUV5wrM/v4YJCW+5zvQOd4pYAX53XXUeS+fX5VZA/LqKNrnJphAFrXZBBpQsJ8EouYM2f6RQVU2lgGUlmZsmJsF893KeEJoTV2UERvPdk7mzFhchnU8oROq5FRZno7KSItOAcyyIWsgtliNifQ4FCKX9VOuv8xQl5kc6UJAbBhmcXsTwbIIFeAt4g1vYTM8avIDg+XmlYfA1HMzrY4TsH8ApNkSfU9PoZTg9ypQj4neBrbNW+8ntooTUi9snNktO0ArnPyN95lwIUNCyexEGKZBNPB5R0xdP45SOSEHp1ob/i7NFLvkirKEelshRyHFWRRWdmUIHNQdzuMnrm/RJISFoAAf7PK1tIo4rWjOxF/ikQh7jM4qNJkRDT1bvgY9Y/x8Qd++nC06JUb42nMMH81db5nmPTvfF/2DoyD1eaKefdtl4DpEQE0c2oeeZy4LjB+ZIENk4z++OWj/49ePV20JODlum3NtOXSB7Fv8DgRhqwLObLle+/4JalUgwqydFnEYBw/O8tfaaauhnGxmGQTTC5csFkogy0REgNk7dQAac8+T+ZRb6q9i02Axc7ej1GzcdZbSsj5AE6MjsGsetQintEJKhut63nez5RXXGfpSMlK3i1ShcqKdLinELfuvlYX0xPsQ5GNRKzSWMQ6n30Li85x8cwZAVDXCKNvD1jO148V9zBHZXN6ne9jXpaWQ9YNV1FyRjJNQOqkNqMfEEv9/9n7Dvg2y3vrY8tDsuW994ydPXH2TkjCagiFllV2gVKgEyht6bi9tL1tgQ5o6WBTRtmzjLBCFglJHCeOt+M9ZFuWLdmS93f+ryxby5Zs7ADfL8/36YYm0rvfZ5z/GagtQ0ttEzoJ+o3XosLNZFnRl4OsF5ESKYRJ3gidLpvXX+1+XOFBpLPvCuSCPpz3QWSkI43gi3bpUiSvWIGkxYsRJD5R43gHTebaefpNP/1SPv3LX+hj4Zp8J+bLRTS+bk9fCXNGnsIwOdXAS8igHtqCV2C2e1b7+ADq+SyOMDLiM9EyYxsuPj+bpryxCA1T459PF9EweFDxK6JVMMEVI9QEIeJDKGdsNNCji9pP+qD5dnI+QFlqcjwNkKNpqDtVjBVPF368f+cz0MqinjAqnFsC2S4hNJy19+axfUee/0oWqJraeG34XEpRxcx+VEneIegR4EsfFs7ZiFVR8sZ0Mz6T/ZQZChgjHia+/ZQsiRxK8S4b7WEE7BBZ0VhN5NECdIrZrmqgF/49ZL3wf4vfkRVYYWofGSPBUWRLEnQUkGPEX8X232LAy/aZgZUJXHeRC3WQzdRB6ZGyX36M4sNF4+xBP5plE4gZZLx81FeuwDduvwAhLGba3k/7YoSSUkewrplzO2HCGMoo4/UChDkNvEzgZk3gq6q/ukqsJ/DzSX914CYWd76g7TTj5Qt6Y6bisKYKeNm48UbFSDc5mfTEsWb/U3HAk9jG4QMH8TYN3jo4WLlr6h0XoG3TZvqgjE6wNg/1Y7ug6k4MmJKXX0b9W285UFNDsrOx6Hvf84rtUsZkAklUcma7qCmFkCQjDasj09U+YXqQLqBNkR+5a0GDGqzuX8YKSqAiG2qhprqmoZPeLF2k+RJwIbNFpAPOdFbZlix+G5rlO9boU2+bTDxCY9QK68XGzJBFopaLsG1cKKpNrYht2ENqfAN9DdzfP4mflAmnO2xG2AoRZ30NqtQcTjR8EBEWoETkKnIHUv9TKIPR0DNmPJPIHgJ2faS4+rOaNl6bDuBlkCwXvx/+kFHCgePu28ZCMlLqVXqyHTs/qsb79NVp5wJdFjW2lkUJUAJlHtPxjoo2XMMI17COCvQT1OgltXug1zXuODKyg8arDbxfknAk+T6caHNx09aWw4o3J04K+9v1GQoL8VPSi5wZPAJ0+Ks5MYyKhSVxDup8E2Hs96dPkj9OnLQ+V1apgd0lJPiydOAw/E7yOPlcRYb5sQLI5ZkHhpZ5yTkwJmZizSVdaPd19KmwyT7MBFusvhTWHapqwlH4aoDDfUj3qUO6fj9Mrdaoa38+jxYCfqKgyCLAUltEKRYn1vbNLzoGKRFM9jhejgSaVYuHi5pMMENXH3RZG1AekEOGgtUbx10LZaVz3TwmKXVOLfhiosyhpc1EfxJXuVUYmRobV8RS2jG+AbLz8U5lqpG3fdF0fK8vORhlS2JhGAZ++7hgNPJ+CRCUWdnG+OgW9j0qBWgR7yp376UIilKr3kDHMFBnO84ggtbir9SXMpfG4me6BbcUYIN9Y5u+Gxkdh9Bx8GNXcINjnGnlJQii1CgmQu3gDzLZayIynoT2w+gv/EQxE43msx3NaOowpqgZu3tRQrlkJ4GnblbdJbnFHW1tcM4KlMcuoyfFAKLZby+fFUJg1HpEwppT60+it5rFhOpS+nUY3XrWyPC9aFYz5RWdCl9SQBQZ20ymCPY3SWPK70J7OhBjbIIfaTEyZsjCM0DMQSl78CfjRSr68paJP0XMnDmIYVqNHxfL09GvursHhpMncYKJiEQqRhJoZE4hbAsTmXTi+WJYeRkMvpH48L2/4VgJ0zt8Qyd3Owc7MT+3CPZx0mNtyJ9AQXzlmzDy+EYaL3xHpxWYVbyuKNsyL9mBGPbPkep+qARQoNdIF431gyjZ9O81ksXCv+Mim/74XFgzBc7JaFbirBfPZWFFKKpfgNYrxvFcxPe7Y7usWYMhN4UbmTOVk5XaSo8s+7lLlxST2Ec4j3MyRxkgIMIAK2g5HWCXoTBGSd2EHxlAA+ZuFjiEOdqLAJ9hOqjztRmWAAm4EsTxoHeIuX/0F9MwXEDQWckatKnyJLEuftliRESFesX4PVW3oZ/jor66Gmaa7UrrZ58qXl3WFCfBjCTWKQALLz6fwWfhCKFMSbxjgin1CuGfIluyzffkT+kPhBGvMGHIWOpgfLV4wrgz+joNvEzPXVbdf3R6NuxhqwM3U878BW2ngZcv6I2ZisOaCuBl0aIKvPjig0p60amaeHh77hVEtV+89z60OcU+234fQCMv8/d/iK5h/xb5+y1kupznxHSRvxea44G770YfF5T2Lffaa5HIyZinc+/hJGn3//2fW7bLrEsvRSbpqJ624e15u/ueZciCj/v2oztglAFgS/MQhkQXF1ABzeHoOxrL+FRJ9GBVnYPZeCxd+X0HZSLCfuminGIyLYCVGeENtHBxZk1GYbWHA2ICU1mW5ISis82IeIIvPs1VLhVfZeDlsYvkyN5oTjA0qboGslQk1NpVV27H0ssvQmxM6LjpO2Md/wAHeTO19X5SaZGYGDdtqoGXIU6ShgSMS0mZ0GWVe3LPPXtQLyCYPLc83pb2Xi5gepA1g6Z5bhK7JrQDpy+LnCi0m/RfslsGasrQYxo7flnuS2pyNen79KmRWPBhbxCzOQxVNTS9JWgglTqpvEuCj9xDARKEDWESuY4dZigTLDXTSFSZc2COmgFTULyy+PThoiwtIwQnm5jgwGdaqogChAhA0KVIJ6yRmkJLzus/hJi2QnRw4jZWioT96UqRb+73NkBH1lAvgSNpVl8KTt6GARf798WvMQQnXlaTeeQKdm703QtTGenOwyfln6qFmQtTn4RkJHBRXVPp6gGVNHcOQUhKtAydiOUxCzYjEbs9rPZVL2HMuMkqi1N8PzEN4RkAACAASURBVMhYkOsrMjQbFBMXHoilfKcMHpKgJvo8NLWY6PfS7TbWO29eNCIZz9tNYMvb9v8D8CL1h5bNySglKGhN5qFsgI+MgIwkfWELjSE72+j64qFQEWUshSp/J3qHo59lqAqhN4lR2GxcNA1uvRb63vGNssPIQlDv/w+MbTQUpZTHQjDWZl4dunApNGds5vEJgO49aD7WvaRlNKJrd6OrvMQhqla+r6XJtVqMVgm4tBj4XrphSfnRI6Y771wUD6Uq1X9bC+Nv186PoLRy9BgtlGbUkwEW2VmNiK5q+OpqKEXq5pKR5u1kTQaxLwkP6UREeKPYliqb8idLTM69sTGX/cHYrIBUYw38Oju4uFchPisRkTQ+D2WRRcN0Gh8yGCT1xsR5RQe92sQPJn3DBsQShAlknPCpYME0UG4kPnEBjCkW0EVijYVx0cVjkkV9SX2/Ar4899KpAV5EvpJsPITuI3uUwpTvYJ/yEWCgl94lImfxJbtCO38pOlikiSHYLSb6fWRtGNiXCTAjr4JIJUVaLOzMUC0B8W7XZzKLflFi2u3p3fG2v/lM3+Og1sJrLqwJ5yZsF61Ix53mDOJbVso5k8Epvcn2+26yJQVwsh/vxHBf5jjBTI4SroltvJJxUt6ZUPYJKtUgvU2s0uyhPjJjCMYMslomw6zgm/2DHE9Bzxd6lwngIjJuI5lkAd3t0LQ3KpIm+zbEYkbO0tley7U/03WcwI8tnIu3EyDp5TsozcDim0jc7ZMggyIjsIgR5f1ilsymJCWJtIt/hmdkQJucrIAw4iETQj+ZAAKC0kwssIkpr44mySZGhisgzPCgfhp4mcBNmsBXVX/On8C3p+6rA7fSwP8L2k4DL1/QGzMVhzUVwMtVV3Xg4Yf/9sUYBO0uSg0HuxeeewG6D953q+OUDjjw+z+ALiNz5Fdn01/kLFZR3Gm4qz78ECefe06Jv7M1qYDl/exn1C1baZfjtbKdO1FKtov97+X7Gnb+67gN0a1Od6vra8CRoQIyAmgwrCxE+5QJvFJhGV6MagpT0FpuZR6M12RyJ4Z4dU0TY7m422ZkvJpSCdKLhV5v5+WyaXEE/QiYFsCZQ0RLAUIajqCzsdVlE2bGHfRwshLASZtQ9mVyLfaTMmWTRWg8J2lnbFuK+VdeiRDes8lM2ITaa37mGVDDA1W3K7gw1cDL4GWXIXD16glP4j/5pA5PP3OCxdBRZoNUCM8+Kx1z5scx1aOTHjEdBNc6JuzhYLvwUtEOgrBbKtEnkp02Rsa6Ybc436iwUBOiomoph+Ii1G6R19iUzoW71UdpZB+cyMskPIKVUZFPyT2T/y3sloC4ROaLzoUxNAPdA4EjLA9hAGRmaVFa78q0kcWvPLNSUVRYKZR7JFBeFFr9CfqLD8FCwGg8kFHwqqzZ1ImreqFet5y+L7PQxfMQuZtca+flgW8zj+PFYOsC2U1LRgNyOvajUzdqfB3AVKgu+nokz50NXcVJatetIKkU8eTcA6Mi6b0RieqySgTxHKIo3egl2DTIGWfnzLV8t+lVxUW1LGBEIaHmfZdrItdOkWXxOqbHqZGdEETJ1tQxX8TctUVvotTNSdbFYxdmzjkbEifEevmyAy/yrAzlhqGcJtYG3h8T79WIkTD7pSUn2xBCaaAnn5IASmRiC1+EqdZqhhuqVSn3UQEk6BmjWb4ZuqgFbqWWtkdOwM6kqrdhPGFNjrDBcP1EgWLiyILYfDWqW7gY++yYC6L7G6Au+gBm3Sg7UHkW2V/0sg/vEPNXAoLyd7Kw5n8p/9umkVPFJkA3exsqurRujyeYEsaN9Cvq6BotCIikT5KphNmXFmLB/KBmaHUl6GmlJwzjuZn5i4zUWgKyZFIMN3mXOjuj0doa6wDY27+mWjIv4jobFCZAYt4iAiurcNTig/8U1KCHY8oFy2dhbVackp4i0o8oAjIGVSDuf/sw38FeLFk4Ez///pXKfX9/zxE88MhLBBd6ce0lZ+OCs9fyeHvx49/8A1WUTIWHafHHX95CRlDwhL7bXHAMD7/2Md7cfxzP3HYxdExsbGfktDTp6yp80/BYYQE+yc/9zIyXlWuvZ1QxZY/sT6RvCSBLwr/PxD9N8Kd3V1B3IywFZIcypc6HYIsCKAvjSkzFhw1jA1KzOffQMj68n4wLzjHEIJzAQHunI+tDjl/6fRkipAgjBRRFBsP/F8hnYDETC+2N9t12sKfoL80EvZrIluh38nAJIACXLmwXp7+XAkAZ5cHCsByvCagoMly5jHIvRZIXxiKSzJAGyZJTcZ7qy751KDAIfUERGAgMQSi9FVMy4tFAGV2/OgyDDEwQsEvVpaecqAN+vZQqGtsx1EkJYJeR7BgyjgjWiDlzVHslBoSxY9cPCAMmaMFCGqNHfq6+Ru6uk5EFUGGnCKNO5n7CqmLN1KFlLZ2D+AXz0E8D47GaDZCRCG0lYSk6GsJA10RGWs15+dt2vuMCaj747rvIJSgzSe4YRChq+e53cd9997kcjvQP0k9IEed/f3Qt5uZmOHzHXR8iX6ioqsfNP/kTrvraNnx9+8ZT9NRP7W5UfzwytRv0cmsDTET7orbTwMsX9c5MwXHdeuut+PvjBgRqJhf7bDG34KwNvrjrZ3crFYj4OGtaxWQWtlNwOiObqOYi+cmyCvT9/UGyVt1X4NVnboFh+/noHZYYnUVa8dk0sHQHusgk4sBvf4tuUhztWwZ9WdK98GURtsyuX/+ak0FX0GDOFVcgY9WqqTz9kW3ZfEAq6AFSXSdSIBNao6thiGhFnzIxct2tbz8NOveno61l7Jl4p8nCDt/q8fJZW2pSMMIiNKinYareKf40mea7C7JCRpIO1F3NiKcxaXcN7wMd+RXjSVZthCXTSNpuB41HFf8AN4e+YEEMIuMiMJ8MpThGO07WILHno4/Q98Yb8HcazKcSeBlauBB+3/zmhME4ud/3/XEfSksdvSDUnKz+4uerEBEhC5rhmEt+9yTTXSqqO1Fykj4x/HhKvtGw2qal/0FAE71baundYhyb3eL8XMhiKzlJFpBtyuLR1np7g2l+muyWcRJE5ouSCEQcRRPBdJrUWeiJzUZfCCtUYuTnZCSbOzMUJXXe+QslRtJzhc9JC5+5MIIvPsfJQDGIITS9Y0htV8w45SDl//DYZ8zmcfhTWy9JMlwwqM5YAN0SMlCkquvUVO0aVL4cCn3b+O/HmsE9lEuUKaa/thaQHYaelCQkhgejuqJKSV8RiYTNviV21kyYG+phpLwihGyeMPopiXRl0C8AjauuxOFKN4AKKely/f25HQHhVs0LQy5lMHqaukokdy8X8t2sfH6W1tLWBR1NImWbzm0WJW4i8TO6Yf642+eXDXiRayspUhJ3n5sZgoz0cDxDicoBSv2c/W3C+DCvONig+PR4agltn6LnyG7et0GFCdYp/kasWksLoPSse/XlXOS7+lfZbzfaXAPfg68prANbi6HhryRMzfnaV5G8dgOOnWjFkYJWAhg0+JyEt4sAKwkdBRjgO2Rj5siwKiwIC98nAVzcgUwCCornsEW8JmYuQlXSaui6rYlNYzU1r7MA8l08HZtvj5rJSj59ZjIsfMnoIdtCzEG7GxDcUYXBk4UI9qdJuqaWmxy95ipqNpqbZnJsGXucSzXWQs33O/3MTYhanofbXjuAh+68Ukloue7Xj+Deb54DM8ciSWyLotzop0/uxI0Xb8W8Gan46f3P4sJz1mLRwtm4+OZf45kHWaBhn/X1G36h/Pdjz73Nd1uFb152Lp5++T0ahnfgukvPxQXX3oVn//5zFg/8xv3uLddcgH89/gp8+3rw2Gu78ML/XI8msmB0TD6yb/cdr6CEog5R2skFHrSZ2hE5NxmbstdwYc4FrIUSyy7GJbPPUj5kYvgRM/frakB3U7PDvmWsEeadFD/8wiPQEzkDXZRXJicEK8C79O0dZHY4+0NJnyfeRfphI3GbUWwgE9vm5oYrZtynglXk6f2UB01HVkSHG78dYUEHi3TczoBOT3CgnB5H4q0yVhMjWZUUoPjp48vBn8DkEwQtx78e32B09JNB6aPhh+bXCOYY5qdcS5VqCLNzouh9o4EAlDUN7qXZvLQEbVjAGOxBQE87AZl2esWYEN5WCf+6IvQxQWyAQOIgCynyXA9ExCJh7gxFhviFuObDF06kaEayWQziq8PnqE2CFkSSZndpg6Q/3ryWcwcCU2OsA8a6DzZ2jJgja5OSFBPhe558Eha+Y3EE1SbTmrkOyLjuOvzpT39y+PmhglL8/YlX8fff/YDz6gb8z32P4fE//3jkOwLSuusX/NmfXH/b7wksJ3LcSf7yAi/3Hp7M5fzMvxn4/uLPvI3p2sBp4GW6ruwXYLsK4+WR8M9WDck6hhXrbuSkggkmNDubPTMSMzLDkMnJp1pNh/NTDMRUsgLxKH0bAv/2Vxjd0D+VSWtMLHpvvwOdw54qO7iI3xRoPVZ3rZEsh+KHH1YMzWxNtMp5v/gFgqj99tSKuVCv4EfMweybaE9X3nknjUbH9/DwtH35d9uCWqrPEulcQ9M2SRoqJUAiCzPboto3YABJW9pg8B+tADpvP6CNVOqDNDR0qsrIwr6ugRGylLGMZXjrzbHKd4KYwJKdHqokdghQ12SUSYlrDOq2PDGNpPEkAZbM1BAkRrHKw8SEnsoiDFK+JU1+bybzoLBQpxj0uWtq7m8hwRfRhWfQrHbGOed4xVRyt61+AnAWJlOpqGX3Hb6nUwW8/JZAnqQYaVh5mWjLz2/AY48fZwXL8TnbvCkFX/3qbLfPtw2cEylEOVOQyvm8HGWyTDsBCZGqSPVey2SsULJbBiqPoldvIHvcdXHt6ViDg8Xr4SQn4o4TQl1LChqaaHTptAFhawRqAmEJS4QpZhYafBLQ3k32EyeZ4pEtVVcxIg1jkoqkvyxeHI3yBqY/jLNos+0iLkJSEnzRbGc2G6WjiXLB+7AwNUVAFwFgbMa9qVmUZ/hLsoawRkZ9VFSLmJ61ZjG6WFW0NT8TZT+vhEHX6HlhHQ8d5hr3wtA0Kl+UJWfQzAiEEdjprK9Dt9HRS0bFPistNQmV9IGRFsaFi5ZyPyHiDc5bhWPqeahp8gw+LZsVimj65si7I9HBwZQ3yaMscqwOUuCFSTCR26zES7dK3+AaLy372LYukdu0xgV7al8G4EU8jQTEmpEeguwMAkup1k9Dcxf+ebwZ72i5QKKvlHNbVdLCfoMAn4froO3XI+zwC1DRv0HSYCy8drammGcyNrXB19EQ3nlf/r6DiDtBxkyVtWAgAGxmSgilN2pohn3FgoZT9CQxTbxgjh7T4cChZiVq251pufM+ND4WxNTthrnshGLQaQNcusly6OSz5AnM9Vf7Y2jpmXirLYWySAKslElIGot97LDzPgXk2rgwnDKiQKxZGI2l82IVv5iHnjlOc/dR1pVcfbX/AKIsFcjVvAUTK+R9TIuxaRJ6LKk0Hw7jc+l+zAjmtU9jes6M7edCF5eEd09U41c3XqAczu+eeRfLZqdjZhAZCJxzaJmgdtX//Rsv3PM9hcHz3r4C9kdtWH3GbLz4zj78hlVsf84Z7v7LU9iwciEefuZN/OIHV9PQnawZGtF++8778MNvXYz/vPoBfnfXjco+/ue+x8f87jMP/pzn3EPTVQu2XfkTvPjbm9HMRWHj7t0Ol+tv+/ZhPqv0nmcp7t9K4QoUUGZ13Rl5aKdRsyRmGRSjXOv3Sb6gF4sZxopyxw3w4itMDQIvIm/1n70cuqoWylsCIOlX0o/3ELhpJ7jizLaSZMEuMphskdi2DcuYkBIfpJhQRxIICBVp5rBviac+ZTr+vZtsi2bGR/c7ebiIIW06i2n23i71OqY/kh08xAsm4IovgRUBWAZCI+HDqHQE04BXo0W/fxB6hz8dZHOeONmNuOAhlNCEewyVs+L7MjcnUplLSZP+PCTYh8W2sZMs7a+Hhfehg8/SOd0fobemlmMomTDsO0DAfqinG5bYFDIlA6GEJImZ71gHMh0XeZxtit+LgSlHIq/rZhFCZMX2rBcBxOPieS+2nKnIvdwZHE/kkP/Fdymb79Jkc0dlxj3ghvHy18deYahDGC46d71yOF+58scEX3/BvtDKpP/0aInbfmFV3jy+I1zvPPsWGWLaLy/w8ofPCXj54WngZSLP/+nvTtEVmCrgZfla60TB1mTy5U8gZhYHg5yscKaYaAnEWNOOlIjYaUoCKCWV9xGOF4G7PkQfZT0DYwwQQTd9G01zrVFiF1NetJoO8mMdkyxM8x98EAZqPu1b0plnInvHDo/MiW7qUPfQ26VnWGtqv425V1+N9OXLJ3U3bQtmARwkbaialZRKUljLOKkXWup4k2ZtfB/jHBvRPTT2AlpdwoVuqbUyJSCLRMdW0WR3sl4utpOU+59MqUNygtaBLmzkQq+mhZM6esvIwjqELBbRK6+YG4kbL8pGTLTWmjY07IlQ8f77KH/7bVKbrTpfaXV1NAPmR4Amdy2Jz2F6ephyr6NmzoSwjbSTTKYQF3wzpWc+n34KFf97qoCX3/BZC1y2bFLvyAMP7EfBsVHpilwDeQ9/dhejtWO9I8jKAkzud20D43c/3Iea/TRlPlGCbnG29Lxmdv8scwIUG9PAc9I5/PvAgBplFWkOXg5yf0NoiuebMQ+Vg8lo7qP8xglIct7JYi7CKpr7SF/3t4IxnIAKG8bdOx0RSokhmTtNBtfFVnhbKdT5bytmnbaWkimgS7ciUbIxYcQjQvHIECr8rBx0bMiDkYbc/r3+qH8lEvXVnkEX2/ZX+xxAfzX9cYhyiLeNhucgx445KaQ+R+NkiWt6SSSr64MtzTAQBJMWQeAliABMP80SB8+9AbuKKSH0cM3kd+sWRCjUddviWEA2SX4RDxExMw4guCCsAlkcWcgkEDnHeHPu9g4zWS/d/LgCP6l83xfM9s7c94sIvCjyCi78YskWmcfiQlpKKIHjcEpmApQ+Sd6Ztz+sws5PGnB8RSLqma7h3OIpfVlAUENMosdr0sXlNr8DS/kJgmBcMAyzXGy/UWfNhGHueW6TpOy3G2dkrO+n7ypAaVKchmbi2hFDUun70leudGGn2lLsyiv0OELz3/2fNo+5n4jBFgQXv6/4linhP/xI+pB4uHgDsPmRzt86cwtO9oQjkDKK0nrrQlGRIhGACeT7IDIT698Ng1j8Qyr6GWRK/u83ZyM7dTRZqJVVbwFfKmtcmXgrl+YjKfQousu70HGsURmPe8jE6eqcpTCxnBf5tuuYo6F8acc5KEQgiutbcfOO9co78sg7BxAbH401GTFkfhCkDovEnX9/GQ/99BrFGDa/vB7vHirB6rw5yD9Wipt2rFNO7KkP85HMCvWj/3kbTz3wUy6Wg5VnZ+slt+F7119E0LsCP7r5UmX3Ij9I5D4eevpNPP3XuwhaMB1r+LvvPPOHkVu9fscteP5XN6CFBaJpAV7mz8e3hucpSiwvx2pJy2pp7SZ7YhDGUoJuXADaN+kbxXdD2C6BMxdD30JwmM+hsF1kbjIW20XYU+LtIvIjl/cnmqwLkRBz2za5WgyLfVGRmhGT/HFfrKn8R3aWTSy8GJ1Y0PKUJjL1SmsryNHotb5HjYYeDQa04egN0KKPn15KgXopD5LrIwTQERP44WMUqVFdXQdyKcPu5ftUXdtBMNQNkMId5tDTLC7GkYURxmsYzQJDRbWr/NPdZWgj8BLdUIA5hqPo7xxNCxOAqG/xGqZ5LcPZ8wOV96aLPihmsrdNfO8lZUuAGOXjDVI7lfeA2zIzPlx8lixtegU4FjmtfQslyBcWG6EU23p0jvOPiR7KdAEvv7z3MaxZOg8bV1uBgCu/8xvc/aPr+K5YlQj/ff8Tt/3CjrPWKP/+4OOvfrmBl98zZfJzaAO3Lfkc9urdLk8zXry7Tl/Kb00X8OJ8McQkUxaAWWQ4pNNEMjWFjJi0cC6sAye1wHR3sYs48D8mgIO+Hdr77lHi4ty1wBUrYbz0Mno1qHAlQZe8cUAX+X17VRWO/vGPI+wKZZtcuC+hL0sYGSueWiGTkKreeceV7ULT1FW3304Dds/+MLIPWRDLIN1IY7r6pi4yWkxKrHMDqyiSxuLJk8X5OGMWU+ObRtkH7dbcNZ8ByhIOZqC+Shg0RjQz5eiz+gCI0a2wXEJ43xUATuQPfC4iODhmsBKbX9mOBn0/F36jMZ7yvbuum8WFg2saTxspvsdfeAEmTn5sVZjjrDaL5Gis6zGPZp9hjK+U7QZycrTg+usRRbO1yUqPLEw8GiAI9BOCQLewGhLv6YEY49/Fo//PGzfiHm5nMn4/xcU6/POf+S6pJKtXJeLSS+d6dX4yqe/ixKqOdPUGfro5URkUujFX36I3FyNloX8LfdzeyM7TKfv4WpAQz7SAQccFeZs+kQwqrTIJ9ye7xTcmCQMp89AVkoLimmHZmIeNL2BST1kjvVZsVethfxMx5FXYMARi5HmSCnqYAAphKtS2jr3wDWNcbVD+m7wOnYiO64MlUNK8XEEamfgrciT+n4DcLJg3rcHJd0JRWSjRuFZjW29ajI8eKwf2KUaBVkmRdYE5JIyeDYvR3KJDp8FRo+5Dn5vM7ExUHLf6OUiLIic9kNGayF2G1rQVOFRqcgC03B2L9MubFodTnuE2xEH5iQSHCJsxKjyAcg1hIpD6TqPjLoIHssgWmYD9uybx0vXNZreL9Q3LrVHmnrxNvgjAi00+pA70UfqsGRnhShEhYVhOa389q7lAeum/FSirNsE0JxIFKeGKP4Vz28QFv6V2fC8hqern+ldB//4btGNwBRD8yMwc2nI12vrGp7urfSl/OfIf+BrbkJUWShmUFSCSpvVy7JFFdheryPnsUw8ebkYlGZQCasu7JKCOz/FdSpqKvB3iLWTkAtHbccg3fRaqElej0WgFVgS4CY0IwIkax4WiyJEUs1VKrcIoP0mKCeKC0ip78Oci/Ybt6ZidGT7Svxk6evCvp4+hrMoxajostAtnn/kyF7n0IIEaPTVMfCvrRs0BPo+dNHGl+bi75zKG7Ir1561BsY8ax2t0+Pb5a5Xjffzt/YgnW2UNfV6UsScyGrc98AIeuutaBYg5Ul6H946UYd3Sufg0vxjfJvAij8Tj7xxESko8nnrtI/zjf29GeBTBz4BAnH35Hbj925co1W0b8HL/wy8hKSEaj1OWJNIDAV5kDrDt0ttgD7xsuPC7eP5/b4RuuhgvdsCL/TNt4XnWHqEJaWu7YtgsRvc2cH6AD0IP+wb/pEx0+UZwPmak2bEfQRL6jyhsF3q7UJbownYhW6OLz5EL24UgXFxkoOJp5dyUOHoyaaIJzERFBhEgHS3QuOv3PtPfCYObc8cuFlskCUceeJGhqDiPkz+FqZp3yy1Kms4g/Vde2NuKYycZA83xwNtIe2EKdeqNSOAYZpMqyrWtZzGkpsExPS41KYisKfd8JjGYjo/247vgmjjnfA2kkNBMudvq+rfg29KomIDb2hDPrf2rt2LtijRsyItX5ic2U3iZZ3cRhOmm54p8BJDpJjDTxXhtmTucCkCmk/MUI8EXg86g+NXY90EC5EUTnAvjHC92wQL0tTsWpibyLEwX8PLrP/8byxfPGgFerrj11/jNj69HEkFXaTs/PuS2X/j/Bnj5v08nchum7LsDd5wxZdua6g2dBl6m+op+gbZ3qoAX51OWzlAm84mkjcpkNpXVQwFiQlipnow06RgrKY9yYBMwJemRh9DJCYi7pmIaAe64E+1kOVxP0GW+B9BFFlWFTz0F3a5dDpuLolv9HLJVPC2QuzgQ7fnd70bc1+03Mp8eHqncjrs2Eg9s6uFAS6CFkc7i0VJJVotQqj3Rt719xFK3UVKicQ9QiZdFb30gip4NQoPOO8rqWPuVCX9qIicIBFfU9NHJJPgmQEsSq19JpIJGDU+kPz7chFc+rOOkxnFytYysl2+ck06QxrWK3EvzuiOM1tRT6ys6XhMr/yeKWmi4NobkiJO/hQutkiNby73wQqStWzdp6VEv6cbfu+kmbKX/y8QFQtajEPefnTfcgD+T8TKZ9vDDh3DgoM5hIivv2R23L2XimMi1xm4C6rVSlidJGU2HDnEx5b5KZkvBkmssQIyB/iKdtujLMXAGSXCIjCTFPIT6f7vvDA76o+JkJvoDQtCXNAetQanoUEUoyVbVw5VvT9dhDj1dqgnUSYzymM+esO+4eIunX9BM+qe0GpmcRNmZO4q6LX53qKoQOe3v0dq0gYkQngEUAUuCNHNgzP4KWqkMkgWciQwZA6+RpPlI5Ve8JwRgsjVh3STEBSl+Bam63RgoP85IXMf3TBWqRcTSTBSWnnQ5vTCaeaoMelaSR2VK0WSl+RMQ8f/KjSjRq1BUxQqgBwBIWC3b8qJYYfbObFciTMW8WstJvRhgiu+PAHMmesXI4lvX1qMw8OrdxEtHUuKyNi8GbYbxGUGfF/CiyIc4LonvlBQJUhND+Wc4vRpGQQv7GyGLD2G5vMPodgH+VAQGitcmgWIil/uVweSnbDJInOWb9l9MiiG45c9n5p2nYKxrdPtIa5ZuREvMYo/3Na3zMCvYhxAfo3Epbiz69reRxMX0RJr0EQ28r5/uK0PVm6+i4zjjc7l47iCzqpv3fYwUc5dd+LLfHZi7BkX+ZJo4yUIFF4oko6iIciFbLLr4fcgzFsJ+IYIgqrAbJCVLzFVtjLZrzk7FGbOjRsCXTgLEAr6UcMFr3zas3ovomAL+le3584WxJQllH+YiUFfKxRu9kwyOvwkihX/DliUwMuHl9fwK/OL6HQri+rsn3iRjLAuzkyIVoCWUPhCX/vIhvPCH7yq7fHvvUVRzIbiWjJenCbL88lsXKr/7/eNvYtPqRXjq1Q9xy8VbkBofhQ4aff/4z8/gdjJd/v3iTvzhZ99StvGLPzyKM9edgcf+8xbu1ALjKQAAIABJREFUvOUyStkSKPUx4Dt3/QVPkQFjawK8vPXw/6CZfXctgXvx6Ogf9rSYEqmRG+BliHOtxvJypqzVjaS+SPJOL1OzJOFNpIpDweEYTJyFDjKFpCXEMjmGN1nAIxk/FGNlu6YkftFA2uCG7ZJAUEX6WU/dsYCCkQTwlOeEHwXMtrGlvHnghZUt1D9h1/IjUeJqGvKrxXRVPmRpySeffh+2SGPb9uVPYUHnbNmCBrJ3H3+zgs+AZ9mn82FpOPIMko3l7A8lXmD1BLar66xASjSTH2dmU6o0zvlpCBynJqhppu/Zj83M51hbcQDxtYchxyAeRLZmXroZzWl5+MHlOfSRsaZDumvSJ47MX5kGaZIPQZgu/tnJZ6WXDJWpZsjI+9fJuXZ7cQlj4imRdEK9w9lfqOkPFM/5tsRKOxshe/NYyHemC3j5579fJ6gcjK99ZYNyKOddcSee++cveczWoqyw4J54/h2XfmFV3lzl37/0jJffuF+veXtfJvu9gTvzJvvTaf/daeBl2i/x57eDzwt4cT5jmVz5M5ZWKnOzciKQnRlBI05r5+5Jw1tAedGjHL8FdIk6+AnARXifnReL/b40V1+DdmqVv0mWx2yi+J4GZKFUHvzNbzgIOk7G5tEbJ4ZSFU+tgD4gtR984JKqFEr0fcUPfjACJNjo3bUEWeoaTcrnZI0JzdRT03je6+q5p+NxGeAj+xG+jgMjHBd8Ul0RvaxUs3uORODkXkZ8cnI90abmhFmo+RtIvV88L0ahuqclhxLgoMbZjfePVHruebwAlW6M4X5G1kuiG9aL7ZiKXn0V1dS3i4N9Nc2EG2gkPFY8ahIXVulcUNlPHmI5uZzNWG/x7PEkhZPJRQ8BHyOptjKxEGbI3X/5C6I//hiTs11jxZgn0rp+PX51112ImzsXQfRg8JaFU1NjwJ//chBGp5jgxYticO21NOp1k5ilRNzyWjXm5yumjB3CGnKii3u63wpQwcm2MGFsQIxo+m0Vp14+vBYuAnKyxdhytOqmClDDTC+S4oHVqOxPgEHmhJw8pnCCWOlU8R7rGGblhtIXiFHiTobM7r4vz2FORhAKKmjAyfmiVM8jaH4qTBihIsuEX7yRmnTdZJB1YeVqFdKSCuHzNlk/eldDbId9iNxIH0x5EhOEYpPQl3c+F1IiXbRF19KslxNm8YcRM2pJpNHSwyAsRC0Zl8qmApg4kVDyCjoaRtNgbPuImJeLTlUXmWBOyQy8pzlzZqH06DGHw5GY6cDE2eievQW1lF4cr/A84Q6npG/t/DBWoCf+jsvOfRnhLX14FK+pRAaXkLlWXdulGO0K8CMf2zOxbEE0PR4YLz2Ome+pAl7kHgnQkkYJooBy6WRipiaFKIkrnvqAotJWvPpuFVmHXSPnZl4ei/yoEBdFnvBMth6uYyKbewBbG+SL9CQNt2VGWNUemAs+UYxLnVsA+wTz6m/A2DN2DLL8ZmkWWYRHnmPaTI/LGBfFyOM8gsSeigbu3qNGym2PP8sxragKlWRbtjESWhba3oIu/uxbDXO2oLg7elzgKIJjRpWOz7FEC5MBJNfPvoot9y2azAkB7GVxLeP4heuTsPGM2JHz6iSD5ZFnj+NE+ahHUkJ8C9atIjAx6FhsOHz462SSxiE1qB0DtaXoKhWT0Q4FCPWnz8L8VYswc0Embn95P+7/wWXKgvRbf3gS9162CaYeRtly3MqYmY1fPvZfXHruWizMTcPt9/0bl2xdgTnZybjqZ3/Hgz+9TgEBrv/Vv/DQ/9yIV947QBDOgmu2r8czb+9jP9mHK3ZswDfuvB+P3ncHY7c1uOzmu/EfGu0+99qHBJfN+NYV25UFmHi73PCN80ZukQAvHzz/R7Sx+FD15puKib+FC1Fp0wK88Hq3kznQSoanSxPDXI4HJgJy6gWrUVfcoAAtItOLiw4a8XbR89lxbgLkumO7iAQzhovnsSTEY40Rss/oKD4nUZoRLzmfYcaKdNBKog0/kiwpqTYB4ZS8yYcFOjX/t/ydpNvY5qC2+eJJFuKKKDMWRod98+fv1nL8LqPs9dmdtWj1YmxyPvbceD/UUC4+lu+QjCXNOiNT4vpoNBzpVbqTJD1mJdMvptzzWNBJYGRB2SvoPFmvjJG29KghTTBaz/82JYHBuO2KHPaRHL8m0GxgjMSwd9TXK2BMN59TYcaY+L8FPBGp0mQZMn0sFnVwPtZQWMF3SeSZowcnDKgIPj9y79PooSeQkfO98+ZUpgt4KS6vwe//+gz+dc9tKKmoxR8efBb/+sNtTHrUc64SyPAINXZc/VM8ef9PlftxyU2/UvoFGzDzpQde7nY0BPfmXkzFdwZ+snQqNjMt2zgNvEzLZf1ibPSLArw4Xw2pPAoldR6rWFk0L0xKDGEVI0iZDNtPiI8J6ELndzP/Xs0BI4ISI+nI3bVAxuL1XvdNXE1i9Ax2Zp5AF9lGKRfz9ZSSDNnN+rQETRbZgSZj3UkTQZvd9Hbpl4g+uyY1b5G3hOfM4SKTul1WEWs4eS9nuoxUyoXN4qmqM5VPT9RcE3xy2uiOz8GK/0/020ayGGwVR/41LDsTUVw4fuVGZAuywA1mJTyalW1JztiwIgHbz8pWJsPeMpk+ZOLHqx+5sl6Wz4vE5We7Z73YrkcD4zSLX3sNpoZGHDvaCCOlF2NJYiTlSBhW9s+B0ISVe8PqpW1hYpswyD7aWOFrp7ypneyQzmGgQtG284b9k8ZrnzVqsJTgz3XU0gtlOWLWLKVCIwBfIA1Vx1sIPvXUUeze0+gA0EkR7HvfXYzc3DiHx0Uq12II2EQ/gGZer7HYLRN9xhzYMGTEtNEDoLahC/GxnQiPoJCKNyJAG4bgmYkIyIrGy/u343ipdXEpSQuZ6Vr6EzkCnGMdQ3aGpDv4oKXds5eKLNIWzgrB4VJ3k05rFLPEpAqYJtXSvDx/JpW1wUTDXHUlo2k/oHyrdQxtOF9mv/Zg0uhHq39+kbEYWH4B2qnrtzXZrvgarVudgLxFCUxS6eNCr5sfygXr5GOEpmwX+kuPENBzpIX7qtVIWpiNEw1V6HYyDg5hX6Q2m9DS5AjYxPPaaxgTXG/W0kDYgrLhCul49zQpmgbFM0JZbZ4c+GK/bal2t5EqX01afKAkaEgELbECsQAQkGvb+jg06vrH9IuZTuBFFmPiITGLTMsZTFvKyYgg+EapgF11d7zrJD4Cb39Uhf1HWh0q0r4xlKIsJ4jIZB3nNqe2HfElBrfSr8wUkV4ANY1mhPSSGZb/CsE+x1Qy2/Y0my9Co1/qmIcXyYXSV89OA/LfRdPevS7fk4XH8jvuQFR6+oRe714uavJffAXHXnsXtTXtI5IcGS9EUidjhnwEYBtr7PJPyURV8jrUmcY3khcmVXqsGgE0ey5iPLkYMo/XrL474vPBxcmGJGxfk0hvGOs+TBzHHn7mGArLRsfgs878gKwKkeiNrsx0LTNwJP9sJT0vJy2YiVOUhvB9U+srMNRYieiURCyYl4oTfJeeL6xRmBcXzE/DyqQovHO4GGWUv/zw65tQ32nGPS9+rEQk581IxjfPWaGMLx8dLceT7x9W/vuSDYuw+QxG0TNl6tdP70QT73VsuBY/uWQztKx6f3CoGE/s/FQBBK65cDO2n7NeieK+7VcPsj/VsfgQhft+ebOyGPvZ7x9GPheaVbWNBA0TcNa6JVg5ROkHx6npBF5MfB6aCwrcLl4HCEK1tZvZzy8muMoYcZ6ngNoi+RREUiREwgQUuap9ExZdEO99B5O7nFsC3y0fzvO8mRcpEmaJWhaPL847fALZD9NbRRsXjbSZSUjNSUIkvbOCCWLaQBbbHMAT2CrHJePERyzGdVHa4tyyL7gADZFz8PpenSLDnEgT5uG6uVp8vFc8lcZ/5sUIPSSYPmWtnsc/2zEIwTeX4+bxEkezdudjlPc5qnYvAos+RZ/JjEhKTG3gS9eqc6BLmI+NeXE4h++ZOwbyRM7Zdj0VibPIk+TDIpZIl+TPTl5je3aMJw+ZboKBbVW1aK4kU9WJ6RlFAM6f8dv+Gg1St25Fv0iOvHmg7E5ouoAX2cV9/3gO7+76VAFaRGaUw5SiX97zKAuWOThvy0oyKw/izw+9oPQh37pyO87ZtBxFZdW44+5/oN3QqYxf4hf15P0/4fhGZtmXqKl+xYL559AG7lr2OezVu12eBl68u05fym99UYEX54spPiAxrGxl0URM5CopZMO0U7f5JB3izcMT5uTnnoXxww/dpu34sLPV3PEjXBYViUwvQReRsHzCCOi+4cqR7ZhmUGKUTPNTT8DNYTJvGsmAsFEvFd0uF6SIS4NpyQU0PWNaBUGWsVgZp+6BGkLKmRywNHrKRno46LsuvIba1Gh8I4J+E6OTIkmWCCRLKVISBjg4C3vAn38n1UCREu04K5OAWZjH6+R8nsKg+MNjpGk3uU7AxvJ6sd+GDNj5lIfVHi3Gifw6RWfurgXRb0bAF+fKr0wC5l1zDSJyctDNSkwnXfM76PPTSSM9ASmcTQRt255K4MX+eAWECaeZaiSPJ4rykvDUVAcQpp0+EL/57R762jhOwnJzwnHrrXnK+ck5dZKZI8BUI82ALZzgjHUeU/HcdXX3Mpq2XTGjTUmvJ1U7EEGzmMCSylSigF6Uls3F62/PV6qbAhBlpQUReCQwItmyHlpqMknQPKemVu+SlZbNC8EnxY6giyKjo/xHKPE9fN5t09xF8/yx4KusdFPuoWaVTIkxrdYh6D36GDSLC89oU7xdDFp0t7sutFVhTKlYeSEMA5TU8V1YvyqJC7c4Vn1dpXI2k+zyEzU4/Lf70VxRpywY5T0UJoFgvqEzslkNJBOOsZ8Wp2uUvXgByg87Gn/LUaZGZaAneyvayGIR5kutO2NGp2udQ7+AGclBI/Htnu7FeP+ua2W8NH2hxMdBaby14ukk3fXqJTGYT6NdkQNKZVz6RWLoiixL2lQCL+IRIqyWLCaizcikIS6BFmG2eAu02M5RFo8f7K3Bzt0NLua48gy3M7XpRLDG5ZKoWaHe8GkDOpwMh8ND/ZAcF6DIYfoIIso2Uk6+gU6JR3XT1Nk01J1zrttFmfx2dV4sztucDktDNQ5TrugOUE0ho27u177m9bnLs1lyrAIHHv03Kg8Wok9ih9w0eZ+si2r6G/G5FRDGVqsQsAdzV+JEEFO6xjEVFjPQrASOJUw5kjFRFk7kEqGYLCFvo84lznvLshh85xL2l5FWM/Yuej6I7OjEMPiSlVGDvMUfsLDgWBD55JNrUNcUrLAzMtnHiKF0h3EAQYQ7E2kKnq42IY1WGkFhTIHk9TZT4memoaeZ440pNAppC2YgKJJsCSbaqCiJ7WEhyELWjBjtyt9JpK20Hv5dL2VAAgqoyZDw49xEqvUiwZAwgACC7MK4sH23j4zBMPb5YQTLhAXpKZygragIZfSV6+aYJW2qGS99vLENhYVu5dOyPyOZRgNh9L6LTIWFC0JpYheymGOt3NfCkjayCs2KH4z9ujci3F/xJ3P20xLPo1iCavZsFxVRBIlblj/F/HUohHIvypoQHIahQBrX+jEZSBXEfpwpQb4BCuCrGKIrKX0S+hCBJYtjMXd2jMJum0hfcJJzuiIymZ0ZE4FkxpjWX4H3j8u8bmI9ZxT7gu0rYvDCG1V85sb/scyFb7lqNtlewZSgnWBq5fhAiv2RSD8xJzuY74JpXC+mIXMncopfga60VhkDI8OtZvWDTF9qO+8G6Lt8cDtZLxn0lvEGrJrY1bD6pkmTIpGAMUbOXWReJwwZYRnLOyfzFxs7xh6Q6WThteZ4uQJe2z9fMt8LIfgn/ZGWDKcEFrh63QRejHes0wm8TPQa/f/0fdUvPyfg5eengZf/n56jL825fFmAF+cLqqK3w7G5sQggC0ZSTDIaTyL48Uc4kTe7DZMNueRSXLpiOTJI3/W2VdEw9SSNW+2j8wI4uObRVDeQkyW3E1D29EoCEJH6vffdB32jXmFddLLCI4aUEnUbsPliNPkkensY0/49mVybBroQvakF+sGxB/HBwijoj2pYwRaDPJrIkf4rkqEhLgRlgS3GcVKt/MqWVKxeljyhyYzzSb73ST1eF98Ep8rPsrkR9HrJ8KrScuz557H32bdRU9IwJriVTh+HRMqfZDIr0YS9ZCfZPqGJiYiaPVsB3uwZT2PdkOkCXkb2J9pzgjAhZOPEkBkjcqQQHuOrrxbj3Z01Lud4y80LMWtWLJpIB68n2CK08EFxUZ1glWeiD2A3vU2KSvUY9Fcjbn4U0td0Qp3JGZ8PfWO470E+Lzt3XoJ9R+iDQulNAqvbVfU06HQTveu878R4MhOCAwkieKebXzInGPkVlpGEL1kgygJakrmczRtzZ6iQd6Fp5B0QCEjkM1JRD2/tQPRHBZwANiiHJJfQzxAEM31U3DVZa0bSFHPdHd/BkjXzvX4XTrzyCqTfkUWz0KUFgJGFYxcr6pGzZ6I8/zg6uAhRSADDaFFwSirjvvvQXO/kCcJ/n7H+YkqUwmDh+1nBmGOd3jNYtTA7BPEEUsfzIvHmmZAFVFNzB6v0XIg5aVF8eV3PWp9AoIU9Ij1jrClKATTfJPOIz8dz/74He49FEamZpHCP/diyOa347vd+TqBFTHEjFHPZyS4SKqra8fyb5TwXkX66VqMHyJIoJLBmcgMcnlHZBm05F9vDaRui+stM0VCO0U8p6ej9iDacgO+xD9Hb5eqvpGKxYGjzVdD3u16PeLIBvsY+cVZOtNKP7bv/fujF9NOp+XNBv5Ix9SFexNT3Eyw6VqbHAcYgKya/ZFp42+QdE/BCAM1+PzX0Mzeh0Bzv9ropni5Mz8pO0CCEQKcsruW39o1WxCjhQt3EZ8Xblk6vnAvXxzNFKxazZ0Ypct3Hny/CMUbyyvO249z/MoK30mFztXWLcbxw9YhfVFZyMNlfFsWPSBbrEoG8rvsQtD1kw+l1sOjIeGLVfIByoV4/Ai1ksGaRyafRkp1IwKef5qtSvJGxQ669RElLkxQY+QijRUAWX4I0sogUMEb+9OP3pCrv7rviMRKRnY0wRlfL+GSf8md/MkXPPINmMjAleW8qgZdB3rAWFiKkCOGuyVzCYFFBnXMGgf5R7ynx8suktFckSEVlBOTZN8icQbyvxJRX+togyu1soIPELFtZKyokMg3NN4BpTtoIgisEVoKYBkRQpdcvmOlA9AdTMS2Icw8BVeQzkeEtiL5BC+bHYOG8KOTy/QkMHDvdUrkfnCN8TBaz4mtj1+R8OmZvxMGhGQSUvH1Krd/LStTg6+sT8fgLpQT+xjfBFRDkGzsysTIvWfmtzC0ffqYARRV8zrx8PeSdm52toaTFosR9j9Xia3fD98RhdBlMDuCLacNFaInMJuMqAHdelUMD++CJnfBn/LZSqCBAabRJlcTQV4x9hS1DgEYAz0Z6ojUcpVzQ4jhPiKHflcj9BOWOkfkTTcYH+I56204DL95eqYl9T/Xz/RP7wRR9e+CXk0uUnaLdj7uZ04yXU3GVP6d9fCmBl5wwHJkTC/PwJFcz0IflLz8Ec12tskgSJoa/uNrLcM7/H0y2wOU33oBMVp28bdK5C9vFzEmGfUs7/3xkkKZom8Db5BUS6VzfZEQDFzf1lBDo338FjXv3WRccdgOiOjUTHYu/OqZ+19vjm6rvWWjqd5IR1K36HmQtG0T8Opr3UmLhy4FJxidhsKiHIz2VVJj8LDRV+47E6tofxxJOXnaclUFNdfCEWS7O5yMTmd8/QtaLmwX2T6/NpRcIq1tetMq9B/DqPQ+juUw0xJwRSdWd5yXn4jdggYopOwmR/EsLTUg5SXUuAwkVOYnRkDxhK2gxTpt24MV+33J/KEEJiI3H4eYQNA7GweITQhYHZTNcJORmarBtfi8a6d3S3UCN/QS9W7y4tG6/ImSpk5xvW+JmoTsqC6u2kLKsLnP4bkvLHBw6tFmRJUQyYehIEdlW7VajXiUUY4y5YCzNcbUEHdz5/7g7mMWztCissSgGjvKeShVeGC7uFs4pSSqsv7QLbb6OVXD77Qa3dSJlfyH16LVMD6JXgcFfYSlINdU26bV5T8QxeUWSswLY5yxhwkW0l9KOXnpJ7b7nHoVpZd/k+EXi2K7To6KuiVHFPnxPrWw5uVyZ8+exyndCMTu1b4OUd2Qt/Aoa6PNi4fNf3tjtlSfOqjnhCKJs0BPl3dNz0kpZThvZNm7jpemzNH9WhMIqsG/iF7P/vb8ivzqbpXLvItBdjmOgExsW1OKpJx6gebFrGpqn47b9ex8ZHO/uqsb7e2i6OoaBs0QL121MRiWTaZxbOJlfK8l2MQyfY6KY59IDp5LmsfYLtMChHsQefwFGZ/BseIPqvA1ojRVD3dE9yLO2mdK1rWsJvGmtsrYaJpEde+IJDLnxOMuhDGIGTT/HY2r20GfkwHEddue3YCB/FwZPHISl0/uFif35BySlwrz4LNR1B1mfAbKflDQ08USSpBEaEWclkgnHCziWEbpte8zTQxkN3js8xHDb7z+WLIK89CCery/lfTHInRGJXYz6LiD4Mn9OCQEZAhNDo9LGgUEV9u+/gWP4KINNmC8GMl/0w2zCCLMe206+yXe/E2Y/8WsyoatNRz+YTrTFcBEXHoXZM+gVwoLEdDYBbYLj4xG3ZAli581TpLH2rA0x1j3AJEYLC0B/o+RsPkF397k3no9SnKUKhs11DWTrCIBvYyQ4/7qbz7tq1jIYGsk2GAbQpI9cxCRBYZYUl7XRm4TzCwFWxF9FpECcaARHhUFHaWZnXwDjlindHApUPv6hIcjKSUSHmayVYcaKt6lZns/M8RvC6hBPtAX0oksntckmj7b/ViW9XYqdvF26Oa7UmAPRtOIqGHvdG86OdSyLc0LxNcrjniDoUljmXl5o/9uzNyRi+9YZDpuTMe3hZymn43PtrdeSTErnkvlSWkWmlZPky7Zx/z4TcopeQn1xrfLOypwwgtfINzYBbWdfi3bTEET+fdlZaZMOJZjoPRrv+zZmuciNRAb31r2U4BCAGeq10LtOIq8HFBl8EI31bS2FgQp+Anx6mNvZvn8aeJnKOza6LdVd+6Znwx62OvArzu2/oO008PIFvTFTcVhfNuBlKJegC6v4FjteyxlHPoTvRzsVWqLDxI+gQRABmO03fQeL5+cq0dWeaLq230uUbgld64fsOmSZJCz5+c8VbXBFlYEeBV30aOhilaKboIs10lkWQiF9rQg5/BIlCI4DqS8nGH5nXgodHD03puI+TnQbMki1tHYr/hJS+RewSvxZVl3BiXEi9aKksyqeLNywshgeXln6Gqm13p/q4AMhMbMXnZdB6UCs15V9b4737b21eIu+Jc6sl+WScHRuhlfmkHKe+945gk8ffgTdJ8s5Qaau19LF+0rJkBi58eRsxmtjVcNlkpuQlwcNQZgBJ5Nl+/M4pcDL8I7rGGNbw6QroatrUskEioxi5bQLyT5NCNXYgom9udqf7Tsq7j84PRNHO6NR0ZeseFlkZzaSzv0GJ4OOVbwjhy9H+clwgkPBqKzrVqrRNgBTmGFGmjor0dXU+iuTbE76wmm6GEMZTFmNd+la83O1KCfTolPMbAkumilpcmZd2M44NlqFbVda0OrnPt3L/soE0vsh7b/lqKbHhzQ/vidBBCbFrDeW0sf42GAlAcf+WZJ7s4hmpnGUinnTShk9X0GDTGepiDzLYazSGenPU8tJpNRchS8hIKV/TAKCiVjVnqzjedpR+HntLBdehfR2LdoZuW3ktaigl4iR8p7xmizqNywI530RkNXLUqqbDQp7oY4RqM2tImF0RdQ2ropXFsbOMb773v8rjtUv4gp9ksvFgQ7MTzqCddtuxioarq5ZmsgEPe+BdzmV6joDnnu9nCBJ1whjyt0165sVjmNZkS4SMPnuKka8+1IKIKk8KZTRyLZ6el3ldInNe9Fz7KAiNXFuAWQ5dNNQ12QZXdTNpGTq/K1plN2OGoTL87GL3hMmN94TQUzyWHXnnTTGdK/9F2ngJwXN+Ji+Ne2tBsSd3AVzaSH6CcRMuHGBplmwFPrMtQQHRxlhcnydZJD4+wwgnBJVFRlu7p6JsfbXI+BLSw8XfN5TCsIJcq3M1sJIdpGw1+Ipeezmu9NGr5aLdrxJ2YGVwWZr5RVrUFK6yEHaJOBLB0FhWxLXutqPmPpyAoMmOi6RldHPd9+sYjRyF9ldQTHw4T2cQynLdIMvtmP24cIxkj5gSZROJDAuVwAY6X/EaPf4I4/gfnrUTQXwcuXChWimxMiWluRyn8RoPToTxn6C0jT/tcmAYtgn5sxJRI86HAU1fVaWin+wIgeSP32CaWQb5A8d/brEqFnHeUkrQTq55qsXU1o1QInL5LugSTy+Pojlc7KMsclz6TEocmm5psJ22c2ESnu2i4GyqrJaI3zW7kBT2EyvWSdyUOsWRODCjansY8qw64CrqbrzgZ8xLwLXXjLXLWtP2GWP/Oc4CooN4/ZVztucnRXEiHiyK8cAX9IbdhN8PUSZpBWglPmzGO5azr0CbSFpypz3m+fT83CW90EAE74hk/zBc/c+i/I3XyPzSq8USHxpVhjo00cj9UAMsMjWJ3M5/oMUUvskaUmirz2geqeBl0neDA8/U/3E1Y9sevbkuNWBu1eeit1Mah+ngZdJXbYvx4++TMDLIBfch2dwYWlH505oa0TOCw8zytS1KufLRXXmjGVo0cxXqugSXZxOv4WU5BAmV4QhIZ4UVjfJOrIIPPSnP6GTWmn5b6FjymJQNTsP+px1KCoXE9xBqw7dTXU+rekjdOS75tKrs2aiY+55bg0WT9XTIucjUouGJkn8GVQMCSWJJJAVOn+yhQb9BhG5sQkdvmObnPqdjEZPUYTix7CcFaILzsmkqRcBGRndprCZSUEWr5c6O18Z2+bvunYWzUpdq+EyuR8gu6MgURijAAAgAElEQVSDTCUDP7IIMVRWomBfCWnhLUw8aqc23zWlJow+NbaI4bFOISwzU6ku9o1hynaqgRe5l0cKGB/t48eFHZ9TfRN6Sbn1ZVRqXFqsksYgngB+lCdN9b1RJmEEIiUFQkCpyDkL8MJH7TTLtYKNsnA/c8NHCA13TL3o7MzA7t3n8d5pCLpYvS3cNeU+8uUSk2epyEXEBuLTIuO4unTbdqSSJ+BCExf7ZvFvGWfSHhbqg/Ov7UdLgN6rJ9e3OhQnX+3HIssBdNDAUjxLNIwnF/14AI37xGMinJIZ0ZKHasU7wJrKJpGkCxgVnshEGU9N2Em7yHoxuaHzh1Bi0MtJYw9p1lVcQDYSGlUUWtxHIs2Ym3lMvVz0KClKfL8lVtMSHY+ur9GsL1+HNl0f2ildKqe0S8Cx8ZqYPW5YFEE2gvt+ztN52P5d38HFsp6pTG4i6aOZSrNqaTT0BsfF9FQBL8s33qQchgAf52+lBHLpqGn2WMcv/ePO3VV492N6CXgwyPSjVKF8XTIaVK4MhwQuyuYfaqQ/BRcqlFQ0tjAi1s0lD+nV0VD3VXoSOKVWDR9g0FbKxXzoj8QmcpcdBFzOWDCa3mM7j7L33kPpiy86SGNt/zbv2muRyvfUuR/oMFqwN7+JDJc2tBGcCDE3IaLwXZjqHBlX3t5rRSazciuaQmc6pBaJsWdmYjDWi7dPbhRZJBb2Xc349EgLxyIWLTieetNYu0alniCIk5/VeL/Vqn2xdmYIjMO/EWDS1M17s/AoFi44QVanVY4gMHVvXxD27buODC3H48lMCaKHVo8CvoSaDTiniqwXGtraNx9NIMpnzqe5MuPc9TXITKAp6dQOiR4vkYYAmwAw8YsXI4T/XUkA9ye/+AXm0dtrkhAm5Kk8SsbLuezreyjnsDXFu0eazKH48YtPgSVrFSPC6fXjR98agir9AVpcekUecuel4eGnj9MImMCA063OZdpcOQH4ATupqfT/cTTnX7M4Ggc+baa3HPs0L58RjxdpAl8QZlYKE8/OoB9MpLEEje+8rrxf8h7pyOKqYCiCb2Qcumlkburx7mbLmLF9dSy2LE/Gm+9X4o33ralP47V0Fh1uvXY+GRvjG1M/yhSvgwV6j1Hz9vuamRnEcAfziL+W/b8F9XYgm6yXxgrOLeyuv3pGDixnX8Eo+SHFC+0nZCHH0FNpOuYZE7hdDl+V9/WvN/8alrITZO2NzmdzcyMQzXQtOdYBgi1ayo0ytm1Dt6RT0kNGJEs9TF6S+yySJkGybIDMaeBlsndj/N+pfrxnejbsYasDv171uezXm52eBl68uUpf0u/ceuuteOjpRgSH0gxtEs3U2Yi8uX7YuO0mVijEj8C7CdREd9W3KApH0wV0Gf0l3UWw+s0nYSw64bI5Xw7cKUOMeF18MShRdWgiMwmgUVgcvSWU6GqmW2Sm0RQv0Dp5ri8oxKE//xUGXYey8BOfhSFZzp51NRr7xpe4hHESHXT4ZaacOEoWhFrrt+Ub0A3St+AUN1us7QymQw3RC6JWiT/1VRRQIruQirb9sB+axkSUpS3opgzHXZOFbHRJFjbNy8KSBVad+XS113fV4L1POCA6eb2sXhCFr3MhZatEGWgkaGDKkGjPDUwcksWrLW1Ijk0WU8dJoR8k0yXIzwJjTZ1DdYNFd0qkrPrf8SYPaoIZiSI94uLX2VzvVAIvYrjb3Mg4zzomIND0tYdUd9vkIIxAmkYjMhguJXhvJOJSjjuIn6kAYSRlRyqsCZzcS4V1EH6cVB/D0aLRhWNivAFrVr/kQOWX+1BUeAGftxlKgountBL5vqQQpIjxLtkrIvsQRkw7K6EGTqqk2mYvS5KnOD3BH7Vc4Da0snrloUqqoZ/I128YhE7tIS56+OH2bQpB6csa6upJWVb14ExtAXqqy7m4cp1wy/MkE+wIAnphlFQICKMN1WAhE7OSF5HJ4aFV7dmDIvpLuWNYhRFgMfIZF3ZEBT867kx6XXVcPMJo3tvsJI+UyzB46RXwyZyNNZV6hSG1/3gbCmnqKkyT8Yp8Ymy5NS/SBRjxdPzO/17X0IkWvUUxz3RuK7gYDwn2JxA0esOmGnix7TOOyU0bGW2/epl7AOZwQRP++2ENavl8enp+ZJuWRdE4xoq4O17I9opmRPGZPUlZkRgHu2t0tEEqF/EdxSVu/109YzYMs89WJF9rmCRy7qYUStisiwb7ZmbFdg+r8WKa7dzCaci9/LvfdUhpa+8w4+PDTdhzVD8i34lrJwhR8IHL2OXtvQ6IT0Rv3jmU642OcTLOzqdn0GqR+tDU2JlVKCzVsop2gjBNOHiEvikEA52Iqy67t/DGVNOwWcc4XW+bRkDEOQRfhhO7ROYIXz22bv0vBoZaFPBUJLUqHm9R0TZUVHJhaT/Z4I6kUm5k/6M3DGJ17S4k1ZH1YnQsUPRqQrDvnBvQ1WlEll8DZgQwac5AHxiRsXrzQHl7Qh6+J/1+JCXWEh3+s1/9CpGUyEzWiUPOsIpFhwtpSKoKIJjMjxgDC5gs/y2MPhlfGmZ+BZ8ypc4+TSaHqWHfuXERSsoN+NdTJ1xMkkO1HJ8YdtTGa+rcbvpGLuaR3SwgTOVJgvonWpk8RfC4nZ5R3pOepuSK+qsGkMCIZR9DsxJPbRb/KgKA4kel3vZ1NAdneXV7OZzhim3JyJsTh70H6/HMa5UubD+X9zfUH9+7dh7i47xj7D39UhH2HG6ZEFNxJtOOhLlt6nK9DzOE9VJyCPoWehDZPcM9O65FX2wagTQfzGBB85avZ4+kiU3JRZ+CjTzx6Keoe5VrhEoGI/Ra+4tgjjXz50c7MKZztm9HxplnjgQR9JPprnjIiLGvxF2LuS8/9zPlNIPybe/uhOsJyKpggH3xffR/PN1Gr4DqR58T8PLb08DL6efwc7gCCuPl6ZjPRulOzcf6rTchmJWlWFYpZCLfwcFRaP62lIrPcmo9S+NwNDGUdXzHyeacwv0Ief9N9A13qLZ9CNMlgdUIv1UXo3kweswBUajH4hAvXia9rBBrWLU2s7qeXL8blvyDihGuTazhm5YN/eIdHs8nre5tdLgxNgzMmYuOmdtcJnOf5bqM9VtJ8ZB7kZEayrQYYfdoaYjrwzi6Whwr7vSqGhK3imaQCaycuDHciKax7qzkWGz2XYXgwMlO57w78y565/z+0QI0tglVHATMeM/4JGhMzThvDivxOqaFsMpvc7gfb6sNXPzV0M9GvhsRMogu+mj0mUYnzsJ4CWVF2ZMBp0w6E1lVVGuZmGAnPZp24IUImpgbSrRrJ839Gsvr0G1wnPjLvY8igOT2HDgZDwwLUybJwobx46TZ2wqVsFvE2FHYLUn0FQjhJNy2j38+cRSfHqOEa7jJmnDDmoOIinF0qu+xxKC89GqclIhYLxRDMsfLnalFab2j/GIktposNEnDaScII/4RcRF+aKcBZyNBF09NpRrCFTf5ojnIO9NQPz1lTi8xLYPrp4S4IMREByOAz2Gajuw20u89UZQF/FRTkiA07cX0m1qwccW4aRqyvd333qs8284dWBBNNWUCbGG6g7QSgi+tBIaFCBg3ew7aKysUVox982X12+cnP0UGZQlXcLEvXiH3P1WIfbxvEv0sxt8CMMuiSbGlspt/R5C9s3ZeKH0uJr/aEYNgvZ6x2fWu5pHy3p1No12dfvQ+TxfwItdEnk+Jpz1zTTKWLY5XwNsWUulffaeS4GG7Q0T0eM+RL1NYitakoI0LD+eWR4A7k0ySuqbxAcCozmKojr7v1lDXLzAAQ1uuwVBwBC7fkYWZ2WPT+cWUufKtt1w8quS4ljI+OpYLZ3lvmlpN2H1Ihz0FNKQcBhb8SMFPbtgLy/FDNKP04sV0c1HUcxahI3cDTdq5imZTU0okRuirFsYhZZhZOt61VOJkmah3tFBHFkwzKquM48qQekTCRmPRBjtzYk/vvLBPNs4NRQ+LQ8IwEMbnipV7oQnN5//uVWYX4hE32B+DQ4evQgc9LJz7x3QaoQr7tbe+FefUvIWBGldmUHneFhTFL1COPyNFi6/mDREoLYZO4pfdAPaejvuz/vu/PvkECUePfibgpYESx2s55ilgvhugOeL8b+DFPQwQcFq4X3/lLKYZJeKBR44ocw/nlptFdmIt/dWcFHY5GaG49Zq5Dib68owIUFdU3EoT5BYcPqpTQPBTgWfFdhdjMP8DSu960ce+3MD9SsqPNjUF/VuvIRBjlWaP1yJDVLiWEuns1HD6sbQyaavIY1qXPx/aW66ag1y++xNpL7xZig/3CUvFe41WdqqG46iFY6oj+BJM1ktO8cvQVTXR4Hp0DDDGZqFn2yVKgpec+0WbkrCe8iznlMiJHPdUf7empgP/uPctaMveR/vJUb/GuXOjEB6ucXiWl33/+4ikcbW7QqJ4pzXx/b3tBz9AEpNTTwMvU3unfG/fPbUb9HJrg79b7eU3T/3XTjNeTv01P2V7nBLgJSUfyzdYKd3SZFEjC+QYUqwlrUJ0u3pDL8z0FfA2FtK2rW56AByLDWVVyvGSRJn0mPv8QzAxztG+qQi6xNPQ0TdpHowzNo5QxWWuIIOYAC2yaBHapIETt1ZWYQ1k6sgkSapgcYHdOKPpvwrtWyZh/hxcxWA24KzLUOebOObEQ44h1FKHoCNvMELSkWKjaJ23XY2WvkkaRY7zNMhkUc5JEoZmcLIi0bVpyaFI50cGQzEUfX+3RKA2TkhPr/IfQuK2VhgCRidLUhFM50QyOtJacU3uT8QCzJm2gVYmWTLZevNtRoF+WoqeJk5yW2iS29rACmIv4vl8ZRBU8jThsb98hZzYC1tCjHbDgsiKMYr0aDR9IYLSh0CepzeAhMRNS8TzAA0HpU0X8CLsll5WYMQ0zkg2Qz+Tl8ykyst5OONi9myX8ToRm0xIIk4FhJHJk7tzFgPfKE66k844A/GkmztPSp584QR2H6Dcye79jIowY/Om5/ieOU609S3bcehoOo1GvWPFzZ4ViqK6sReuwoBpkchiVuJEztFNOUc1I5O7KVGTCedYni5yXa68yYcadUZqO3C93F8xv04Nmt+JgFqlJuAS5Pi80dg7tfljmE5wUeVtnAVf2tAzv4rIuQv4zoYrn8S44BFvBttRNOTno4BGqf1uUhdCyXoxVVSMsK6KOTFsI/PFn+BYNJNSGsj+cm5+F1+CrtWrsZjv7sVcI0jgw18ZR1pJMMQGZikJSvyIYaMkP5n43wLExBFkOGNG2IhJ7GQGqMZmE6vVltF4abuNzJ8dgSQCWqZhxuR0Ai+j45SkezDVLDYIn9BM1maA6+25da9gQYD0evuhSR3ICjjHjZX76sjAc4wwd95uwBDBwsKXYKxzSqMa/qJmxWbMYBX23M1pTA5x780iXzUyWnXPb3/rAALb9pW4ciXmXnIJ6lvM2HWoGYeLDEy4Gj1iba8eUSU7rbK2SaxgJW0pcPlmNEVSgsk1WWiwL1bQcHP1oniO/67MHG+urTAc6uo7cYjA1eGjLQrDzZ3PUK8ASXw+qymf87YJC23j7BAMkEEk431EZBvWb3gLLe3NDpv46KOzUd+YokgGw0KtMlpb/5iWpFaYLzOP70JK3XEMOpkP9wdqsPe8b6G50wrIxbHPuOWamdByTK0/dEgx/pR+XDyc7GNwvT2HiX5vKuQRFez7BXhx18QjY58xHQfzHediiXEa/PgHSwky6PHof0pcZHtWtgv7YSeZoezj1qtnYU5u7JinKs+IsFgLi3TIL2hBYaFe6fenowXQvyem+CV0NVB6yPmlGDzb3qCelRei2BLL54jjJD/hNFR3x5rNTtLg6rPTOXcKJuO4Aw8+WUiT4fGfW5mzXiEJRktTJnVab+ysxNtMhhRDa2+b4mdEb7U2p2PLbdyFoaIjnHNYDbKtzQflqy+Hb1wyTXfVyrj4k2tykRxvnXt+UdoDDxxAzSeHEFK7h+wV6zMayeLhTKad2c9n/FlIW/mjHyEkhoVoNiXtk4yXRo7DjfR87GKh45+7dyOb5tKngZepvbu+P/x4ajfo5dYG/7DGy2+e+q+dBl5O/TU/ZXucDuDF+eAlPlM03rHs7LTUxMskShaNndSUj2XqJdswr4zH0bhQt8Zq695/DqYjhx125ceFTxyZLoNDZC2wUmjsC1QM9fq5gJfBQrwGWsjEMXLgtIzh/bBaXQy/ov0OiyhVZAyKci9EPyubWq0/wSTKBuz8G5QhiINkatV/0eFG9hQ4ezEM2Ru9rqSOd/NtSUNSsU1PCUEKdfPJrCgmxGkJgFhN9aQpPjVHm/DGziq33grePGDBiT0IXcmIPvRyUaRBcmKIIv2wb4t75yPJL+EzD7RyvDLQiYGd+LN0ko1i5OLRwIq/sUVPbXiTa8IKr/kZNLbUqK1VVm+aAFHHjlGeM+zdILIjtQ+rPLUEdXgMoum2MkbcV/ac9xHEha5Ij0QS8g/SuXM5KE8WXhOYopQT3Otkgiu6eb44PUynMJDd0kPtsb3Zqp7gYo+TR4eSFEKD1wlNeoblSGoCMMKEkT9FjhTIP4XVk8pPMM/R3Taff72YoF6Ti2Z/1bICJCV/zMnp6AIv0D8ce/ZeQbaLdxU4AV2K6wiQuYnn7e1lDC+NrZt0TOrhNUiI9ucxq1DLBZi8h3IdFG8mTpLFJ0g+sshSZPT8XH6jLzojdXyfxz8W2VZQvwaDB5JomGmdWLpt9HRIbvoY5qKj9BdyNUd19xvZs2btV9ASkqNU2qMjAjCLwMZMyh6zKHsUqZhMCvc98AD0ZNQ464HUZBzxZYRlONZUlhyl3HcbjzFWpEj0NjI7GUH7kO2k+uld0AdrsYmI3XZeJ+kPH3y+BE1umAPWCrNEfrOSzQVuVoIaSRGUMpFRpEgURerl3e1ULkEvgTFdayeq63lfna69MLW2rU9SKuYCmJ0K4EU8hITpUsekpzAy3ZIZW6um3NQb0HUoXoMTZySgY/j5lEcjVOvHxV8/Mmm2mXisxWMiVKJuHw11D7h9ZiLSknDO3T/G7FmepZyH//1vNLDvcW7Sf8RdeSs+qehHcTV7cacY7Ni2QgQWfuRiAu9NPyrf8Y+KRv/y89DmH0cGoR/W0Y9j+fxYSuumzu9LwHeRIR0hu0FiiMVzx14aJ899MxfgFZQietvkfVs3K4TmvnwmWYA5c/NH0IQUcn4wysZqbEjGW+/Sq4beIhI5HMN+NSqSBuaUJEk/kMp3YYheYauOv46BKsdoYTmOykUbcSJlyQjYIIk537l2NuUiVqcVPaWxDfRdERCml34Szkba3p6LN9+bTuBF4njjL7oG/3iixEVGePlFM7BqeQr+/K8j9MVzTYtT2C41ZLs44SU5NI6+9WpHtst45ynzBiO9io5yXD9MALXiJD34JgA2eLqGcWS7DBSQMWHqIeNjFMRQxaeiLHs79JzH2poUp6IoRZI5RAjniNKXLOUc5dItaXyOAiiV7cFfmNZYw1h6T+2sdUww2pbtVX801rY+2FOLl9856bEvsv99BsEXialu1Y8CQyE9eswofhVtdWQZiVH9cCW0IyEXJblbERERTFBJjWQWEG77Rg7ZnNaUtS9CO3KkEc/+pxCqkj3wbzoxIqVctChWMcK37+/DmRy48NvfRgd9ASURUsf5nLDUbG0q3qXTUiPXp8L3+67j16l4dgbvXXsqdjOpfZwGXiZ12b4cPzoVwIvjlRhSGBr04yJKTgCDkxrpxLuMpMuTFWMbMM1kuuTHhLqtR+dUHEPM2y/CYh7tEAM4ese3m8mEoLHdmq+gFilcVHDwYIW1m4szbwbi0MB+rNH/F8YGR/lB18ItKOhJHYmhlaqZMtHmZD0shGASwZh0/xYE5r+Bnk7HKqeKngs+pKK29mkn9UDIgkSuUWaasFiCkUSQJY3mwDKIj5XQ1MZF+ctMXjlS2O42OnciB5JzpgUJSzn5pM7Y3YLEn8KfVZalCFNPDG6QyZJSUaB+VkAWE6sJ4s/SyQmpO9lQZV0nF4cWF213MgGhNJomTwRsaGw0opoU1L5hqr0/gaXwUNLBa+uY2GBWJGdhod4b0vpSspO8ahUe3r8fOZxMT+xKjN4NBXhhcsRVS5fCLOwWLqoVt30nEw6p9BkM9JhxKmSF0EvEeSIxkXvtz+jjYMaSCpCUtWnTCMPF3X1/671KvP5ercvzFaLtw1lbn+N7O1r9DCQDoLFxHXbtZVXcafHn7vhm0wizpEGipUclHIoptAAuTBFrJOBiq4BHh/NeUb4z1sJL3lMVX1gx1JRF1jlf4yQ9VkeZxdjVUQFcAtlBhfpq6HmRhg6ddx5GkkzTywQIoaN729SrzkZbxGyH6xLA/jGXi49ZjKWNpYio9sV/KywnZ5p/GH12TAQnbYs2mf6XEHwx0QQzJjICDVVuWC/nn4/uTWfCQlDnvKEBbCFYW9VA0PDFEo9MJLkHl2xNYQSwhgsHJrnxPRJfgCayKcRo3AbGjHfuwlBq47Pb0uZ6jTJSQ5gGE6bES08n8CLwWafJTO+VLoXtaGtiVZXMvkTYRwJij9Xk+dCvS0BRsJWFEsT0MJEdCKDvT/nKhoMNMNLYebym7W1BaP4rLoa64g2UHB+Ec/73TmT8P/a+A7Ct8lz7sWxZ8pL3nrEdr9jZO4GQhF1myiyrQIFu6J4Uem/vbXtv599eOijQUvYqZRMggew97Hjvvacsedv/8x5ZjqYl2zKh9/qjbgKWjnS+c843nvcZK5e5vI06OWYeoRG85cZdAKUOzoX9GZtQE76KYJA1OuYzPoT4Rt6rJaeZgGYv/XL5oXyBXxYZpdlbERQeqhigrlkS6dL4053jOnuNzBVdPKdTBSYWTEMz06EmPYHGCV12kvFVUj+zc9m0OAB+HCDi4uqxeu2HLAJ1WkWtv/3OdSgsoUns5JglY4kAdJHcVAsIk0Z2aRqBq8jSkxi38XQb9dHg0NVfQLP+7H0kfk/f/HwePULOrgXkmRIWTOPJk4y+LZsXKZInNovOGC/rmZT11sE+HDxG9qAFmCqSyge/tQYl9Hb5+8vl9mwXRn37MDa+q8+ejfGte5cwES9iVreLAHVtbf28T2jcfKKN88WAW3OOsw8zsV1eQWNVw5Q0z/za4U3XIV9vYkfYNhkjAriOuPGiONxyeSoiGWkvQPof/36K6zLHJtqWx1jFIInPfWbJjNY1zs5BvGRefLNqRmzzZJrfG5mA124ByGc37OIC5QxBeBaqaCNgamS9nH8HKvT+irRdkv2u2ByHT53v2sR8Vhd4lm/62c/2kkVnRHTtOxisr1bm6BiOs2lpZ32nRilBN5DhoiXjJYhR7RJUYNs88SwtAC/2F1H1wEezvLJze9v4b7bM7QDz+O4F4GUeO/dcH/rjB15sz5hADNkwEmccxsk6iJNVdUYI9lLioFSpbTeXAwaseuUv0NPoSrZlUlVXk+Mcyg1ZH4GbkchFqIi/yOHC3lVfr9RUI7Riv5XO3TuAm8A8pkrYpBxYHkvAka0TrHgzrljOQ6RJZmaINm8dulPOd0tra5ZDJcT6I5WTWCL/TIgNQnSkvzJpO9NXm7+LLE4PHGvCW+/XcnPjPv3aUb/INbl8WyK2bI7FcZxCt9b5YiFyLBxrxldY6bEtj2mWMSiLZ1YS+liN7xUzXP5dZBQTnPBceWTIpjm/jL4ENia70merKVOQVCZ3KtXm71VU1IZuVvun7i9KRkICyIzo68Ig5WtuS44mEx1EkvMG5UAqmp5Gk7I6m9bKvhhlxeVqAiAjIi9x4nra00OPFAuttbL84aZAZDBCc55JU5E1Iea7Urn045+iz5broUiRyJCIooFuFKVG4TToNAN9+w7X4/nXHJsCrl5RitTU3XwqTQszRd7HhIt33rudTAm1y6+Wk6VDOWOPRbYgTe6dAfr8tPD5bqGkyNJUMYQMg5hoLUrqXFcP5VhXXu8FTVYXhnmQUbJUhAVnZD/KxkpYFgKoig+LsE38VRqoTiSgs9490GXyyyK27RBGS+iV4Y6JzWRvaDZcgu6IPIdjhGz20jv2wLexhL5NXgrQK+OLXIsAsl4meN8NWMQHj7C/SghC++RkY5DUeAOBO6vG1BnfBx9CB6+ttBvZD5sIGpwo7sJz79bAYLNJd3TBxEQxa1HwlBGhXJ9aAqONlBI1tRjQyJ9OGYsJQoh3g2JkOtnG+feG5l6FSeCIAi/x0rKY37PTM3HS5lQj8+ePEJhq5sassWVQAYscNWE4CJMwgptrR4DuWEogCnOjCF4RFPf3hkHuocnhdjnj3UOKOqcd750Z6urIGkkli3HxhVuw4o47XJqWy3h69M9/Rjs37dJEeidJK830aRjWBGL88vvoeWR9/wYOtCO87H0Y6updjrmO+kZks9rzLod/7mqszwvH2jwars6jubqj7yDnXVffg4KidsWQt6t7GEOcH3p57xfRyNhFIqzVIdeRdaGj3OXSS96lYWwlhnjDitRCmhjs7vpwMyv/9iChzPNREVpsyPbHxcVMpCquVdh2lq162RYUJa+12vBGc2N6/+dyCNzYixX6yWpsZJVdvCSMLEhIpd0TUiRPbBYdAS/ZlLD5Z63Erx45TiaHNZB9NWU1F29NwW8fPYkymnjbtmwmz5VTimfLdlmeE4Z7PpPtEfmygDAVlWTLMvnvJMG6PkrWHKVQOhwEJv9j1GAx2ve/DyPj1i2bD+U1pYuvtQLqLH8v897mDMoQydCS+yIzPRgSh17KvlC5MPBflEBp2p3LlCKKp9oJAlFPvVLGscp92VEiWV1jvEBNraZzD+1vQkr5u5TrdEJPZp85Cr47YQlKU7ezcMqo5oRAhTn4nTsyOZadjbr31HnM9ji7d9fgrbfLKcvsQkr3HnSXU1rJtoaG5d4UHMt+Qp45STmSpnj4cY4cI+PYsnniWVoAXuyvouqrH8720s7pfeP/74I5vX8+37wAvMxn757jY+wldn4AACAASURBVJ974OVsB0xwIWvcGI0C0hYFzFBSBlgVkeq2sGJk87127xsYPnRAWWRKFduHlevABj2M/bTe5QKwe/2tqGizj/Z01c1a7gm3G3ZS3nLWgEveM5C1GWfUOYpcwVlL9W1BfP2HGJiMrJOJVsX/8w9itWzbZ9GPwCkmgiU4IHtk2UilJQcwMSGIE5Y/F/xB3PyZzMpcAS2W36e1vR8vvVGOonKa57rBKpiuP1IYnXnT1emUMoUq36FrvAeHR49i2Ne5jGLJSBYWqUwpQ2bZ0Ag17N0EWBTpEEEWkQ0pbBbzLsXVRbH5vTPWSyJZL0kzZL2I5KiwkK71NilcAeohqMcNMJKBY045mvoayoVVQcAKMan1JUCiZqKDL4EWFc/7MTJe5qr/lQXuZ2lea+zqwgB/hIaugFKTuwm577tETmezfhKnfvEjcBd88uF3lo17IE1X1dyMkxLm9GqImbCGMqQIJhj1+sXi9VPc5HChbfsdNBoySi79B5NBTJ4VIvPTMMa3omoljh7f6FJrvjgtEDWssEnEtMKGonFuMwEX8WGy/Sx/mkenJfuhoMq9KveFl5DBsqoTgwTYzE1ADfmRy6pEifNf9KzkeTHxy+dEIjpqZj6OyLFj2o9ivPjIjNgEvisvQG/CaodyRL/BTkQUvaYsGgVgE3BaKu86Xu/EVXkYaKbnEWVF5msv3hdlag2CYmNQz+fPtqkvuwzGy6/AwOSG+a7xUawkM++tffV47xBleDZpLrbvl03ndz/LVKtIx0wzuXbiE9PQpCfIIYCZgfIig5JqJGNTS/sgN8uMl6Yfj21TNrNkULz5j9+hoJHpT96zDMEd68XS+JMwAy8CdnQRsKxj1bOPc4U7LYCgShx9Z6IsfH0kNbp+awI6Qv14CC9WfzkvTOI3QRzXNh4h24WRw9O18N5ieDM9aNhgAgzlHkzhhiWWTBs1/Xk2/eAH0E36DEx3nEZ6D5x67DEM9hunAJch8W/h/3zPvxJdEUusNrYRvWXwL/gAhk7XFXdHn+sbE4u0G27G6o05yEgJ+dgBF9vvZDZbLSEgLwyH46c60MJ5WsAXd5h15uOtTvHDhuXVNPLmumJMz3WGgC+MkuUY+9obt6KknMOvE0mdjB13RtZiVQfZQzQuNo0nJgRmTOWDw9d8AY391hvo+JgAbqyzCe47BujlvNpKStBMQK2VprgCwCipSLNsntgs2gIv0ZyjVtx1F14ns/Z9+ohYrjlk7fbv31tHRlk/nnypzM5bLjSYD5HXBEELexDgO5/PRSrTKz3ZTOD9kGLIK5K1klJK1siCnk4mqRT1fEegPfw8upkcaNuGN1+P/D7HrBwdx421Kf4YskhwGySgV1jZp8yB4i8ioG4IfVFs/WCkbx64exliomZXvJmu306z2PQkZaVmHy13+jieyZ9E/wiqm9YHeWSMjFWWEkwchp4eYCZQnayXrXehvFujFDBi6Jm1mua1PyTAqAty7k3lzud76jVSHPj5f+0jA2oIGn0DolsZoNFUh3DtEHwGe+1AaG+ueZLprzXOYprletUTz9IC8GJ/VVVf/tBTl3pGxxn//QUzev3H+eIF4OXj7O2P+bM+McALN2m9m2NQSBNBAS1kASPAyjhLFCMc3EcIuqQ0VSD17RfQT/NaWQipBXTh4n5gciE9nLMF5d6Z04Ikzro3S9OCxJrdGOIi1twkKrFm9a2obrcpZVkchMVinD++F33lZXaHnshchyLfpcpkK0a9kdTAin55aXYYYxLpDcKFtnizyELNzGiZ6eWXTc6eg/X4585al4lLro4tC6bL6bNwybYUu4pT8WgZKr1qMCbCeJvmRUmI9wRjQ5sWUXDPCG5KZHpo/Ck+EwqbxUPZj0O83sJ6EVNQyyb3yqpsepRoXDMqLN/XSAPHeqYc2Ro3qr0oPQqk10R3G1ObeC8SaBFwRczXNARbNGSGOALFPDEpWy5wZcEo4NUgwZchMheGKD/q7TbCQEDCssk6X7xdppNHyOuV86B3S3BKCrQEW7wlJWkGIJhQ/SsaWLEL4GY4KRNDoUkw+McrC2t5HnOza5CTs5P7vmEFOPQnQ6Pf6IUjR27jxnv6hWRaKk0HmWojm375nFbKiXpYoXRUvZaI2lxWE0+U21dSHd3j521hdPzmThhtojNEAhVLunGUJBRRWqQAhhxrYutT0VHhSxCzm8yIAbfYarafG9ldAK+CvQRf3GPjyPt9l2+GPnmDsimwbbHNezFScspaxsTr7husQ2puIobragm8qcnAMIFvQ2I8mpaOvs4O9HX3WB1uQhKqHnoY7fToUO4L/nyRyTZZvD+efrMCRwp77PxAbL+PJB196/bFCAsJcAn2mRlvEgVeU99Lxoteob6X1/TRF8K0wTX778jnbF4ThWN7/4yTdcvnDLxs2P5F3p8CAvUTBBITYVejoO3gRqCLBvEplHeK/FC7JgJFi8PQzlSTcZs0o/WVHVCX904bdes7PojoolemDHXDaFq8KFE3Ff+eddNNSN2yxaXEQKr57//HT1F+pFBhuFgyB3wiSZO/8C70TYLKMj7GNR3C2JnDDtOTXPWIeLRlXrodmz57HZISo1x+N1fHm4/fyzxopOG4sGBe+qAOHzIm2524evN3WbVIjbtvfJ8pfpTu8WYcJsAtzJeCMyuw7+Byh4bQ5veqmWD144AD8KqqUQAILX1gBJyUDWndko0oXLzJjmkg4MuXBXxx8fyIx5d4wQgLRnwnlFSkGYzZ8h09PS+JF5iYkI6ptPj5bw/bsYu3bIzF9ddk4jd/PoEKBwbTWWQZldNzyFJKKt9zFRlUd92Y5RG2i7N7TO6TDsodBag7wfSsJo7vtl5p4u/W6zUO79pT8KGBsq1vl09sMkpSr6I00x5gjaUHVm6sBoMW6U5jBC6KqvVWskZlvOc9EkGgOYzrQjFwln//8h05yM5wLF/yxHNTSgbQE88XEfRy34g4jn6CPiqyzJqHENFXhcSKD2Fo68YgB53eSclRV/JylCadh85eU5+EM6Tgrh2puPVTqU6Z0J44n5kc46WXCnH6WDV8OquhqaAHXXMFvfNY1ODaSYoutk0YL0mUXA9RfmRunniWFoAX+6um+uLumVxKj712/JGtHjuWpw+0ALx4ukc/Qcc718CLbBp9WCHooZFuAQ25RCcsxrfyI3GPgqjLWlnLquyl7/1d8QGRpuGgr2vp58ZGFsBkxARHo4bUzzYH3gGuuls8IC4a3wcjIx8t23DqcgJB65QquLOWQcAmunY3BvTWlERfboA61t6OEVAPHqqh+SA3vcrmziSQ8meFPZ1pJqkpOmQuDkcYK6hmlour72v+fQsp8y++XqYY15nNztx9r+3rFiUG4Mar06ZYLra/59YaewcPoldDrwlulFRkBYw1MG66jqyM2hYMVNZDRW+Z8CEaeDqIm5zt97J9XzUlDc0OvF6ShC3E6vRMvF5kQyhGu3ousCk0gZoJHT406lUF0qUlQAeNoRnxET5Thoqu2CSemJSdaenluxoNgygraMDEAH1f+vkzQmCCwKQrTxqF3RIbq+iWNQRcFD+IGe5Ae/sGFSDCqrLJuFsfglCqhEyMRiZj/RXFUGv4DLGaGch0Ez1jKbu6snDg8MV2Gn/L6ypJXM0EWcRrRDT5esYaT/f11ucF4VDJ9Ikx5uOvXOWNtIu7YGBcrLmJlCSOgEtEOBkGNmbRy4aWIEWTpIAwsrkVM8SSii5U1en5nPUqCSvu4ojhfaVQF+zGoN49gEi+n++yjdAv2mTXX5qRPiUBp6+lw+5RCssmCMZkG2NXt8IwCiVAEEQZlh/T4AyplF6WlSuyTMvmvf1CDF1NvxfZVbMJZHk/wZdEVukffaUEZyplYzQ9ShEf5YcHbk5jVXPmkfLlld144sVC1DQYFePeAaYoSZKSxFoHkb012vkiTWHpcTIHxktu3HFkLL+TMigy2OaYeKImaWHreTEo35KEWvYWrbet+jOKBsQr6KWgt4nTtb1Y4gM0dOaI4m+RzEQ28Qsxj1nBlBmuZ1ypmgCYsyb3ZDsZbx+++A6KnnsBQ6zk2jYNE/jaNYkKmOXH5KTISrIxS5i+4+6NO3lAP95L8SwObPjSXUg/b9MnZgPlai6RPnqR0eAvfNBAhpNBKcS4M9zdc3UFVuadIhBvVNYUQ2S+dNCq6tXXbkN59fTS3c3jVbhyJB9jHT3KekHSEBUAhl5sx3d8EfUGe8+wKF77r9yVjSh62bnTxGS9ntHQ7TTbFhBeYcG4oavy9Ly0+mtfQ3RmJj74sBr/fKfGyj9P9q/fvX8l12GDirfLkA17LjSY0jc+Oo7YLt//Uh6SE8Pc6QqPvEZAmJpaStbOtJIJ04FOMvKGed2bKB3sIHtpVdPr6Gt2wHY57wbk99qzctKiyV6mSbqlDFhWr+Us8LS2T+P7NekHc8d1qbjy4jQkxAfPeC04kw6p5jk/9jwlVA4kdM6OExWugZ8vUwMbR7Cs+nUMV1VglOBkP/3mzEml5VvvRWnnWWljCFmZv/jGcqxfPvfwhZmcn+1r5Tq30CS3Yv8R7H/xA/S00eiZA0Kolte7rQmBvuNKkqWdVpAHkiJVZB696Vj8kuaJZ2kBeLG/mqov0D/oHLTxP2w7B5/q3kcuAC/u9dO/5Ks+buBF2O0iQZBF/SgXNkNkWbSsi8EZH19lU+csaWRj2SEE7X2Pi6IR+JL5EMAK5gA3aObl78jW21Ddx+orr4LEVw9P+gu4c1GStN3IaXiP6Q5nnfdlk9228VYUtznX2cqe7byRD9FHdof4Q0jFQuRRUkkP2bAN/ZQOSHqOYjppEeFp+Z0EoxA2TCw3MTmZYVhEE900AjJaAQAm5Ua25zBK0Gn3/jq891Ejet2kzTvrBw2NPC/dGo/t5yVz8rFf8MukJZvQQXqOtNaVIb/2AIyUDg1UNSob+DFu/i1byLiO5rJBMwJA3LlG5tcorJdy+rDYeL3MlPUisjQvbnAGeF2qOxlFrA7FgG8YBjQR9G4IUu5Fr1FGho6cREaEHuMOIn1tv7cnJuXpYjsrWa1qoqmkNHmGfEYNlNrpEeI7CD5GVmCKwm5hxUbHhYMfWTrCIputxEtPhk0x+3y6WMqwiDHEpvUhkBGgYUvoURMqKUJDyM+/AaWVzo0S42I0qGTVsZASuenkfOa+Xpenw5FSg1sbqdxcb+R8qodSv0FlTRVEE2yhQdtFQk8ePHMwHZkaxykSZjPoOi6iq+v6UFKlR1kVmUhks023qQvtr4Sm4H27iPnp7nk1fROMmRfAMGS9uY9uOYjxUnv/GJUf04aWpKL+WJHVYeWZiF6zBP2+w6xEdnN8mlwU87By/2t+RK+XyKgpA3N/dtLXxOuI7LU/vViMUje8c3LTgnHvjkUcOzQzeYyV1/7txSKcph+K2XdAxhlpQgsvP/X4nIGX1NDD8Iu+0Z296bTfXbwOJHWqlWbHRcnhBGi9yebyoaSOctDJGWhbcQuG6N8w3b0QONwB3elXEUYJg5j4qsVIy6Kt/da3EJWe7vC7yP3X2KrHh8fakM/PCtz7NIwt9ptCdVI6jBuuV7x6QgebEVjAea2paUbXJiiAwCSrwInZKVh2990IS052yWqa0Qd8TC/eyzSTF3Y10FtKpG1k0dEEejrsKUQ3hB/euxuB2naF5aaAL2TJ7fxgA6WSadNK1LyYEvZNr30Iaa6Bin83y9nkCa7PXo2yvO28X0w+ZJbFATHc/erd2QSCQ9zuFQHQOmjE20oApu3MGQxRkiqSCGfNk/NS5vXXI23bNuU8fvqrgwQ1rQHwpfRoufezeUwyOk1vF/qU2TTxdimtMdizxVZE4rZPZ8wr22W6Dhbvp48O1eHJt2tRUK7H0hGm4BTuU9aolk0dm4ji1Gvs2C7LKVeLZGHN7Hsi7/FiAaKJIGkF2T2u2oqcEARx/SWJfMn0eVq5PBJLcyOZjhQwL5I+mccef45suekAIZsvLWNgcKAKhpOnEFNNqU6nMCPpj0KgSv7sXLQaJfEbrHxvpOj4zM/WUULvWfmYq/6U3w/SkL7h2DE0EazsZ4DDOOXUxcWMp6e5+5hcVhZzo3RMPWyoZrgCmaIOWC/y/IrPnUiyRynn9cSztAC82F891X0fuHNJPf6a8T9t9/gxPXXABeDFUz35CTzOfAMvYjImg5dUj8SfQompo6npAJHyEVaDfEhHrHKxaI81dGHd64/TPLcPGm68/ejpMsjqqLmNpq1BpW6VyZ+B/1HGTwFAJB1kQqENmxJNbJQGU+/f7leAkfwjVldnJC4DJXHbnFKMBVxZyUjaCFYTvUapE50ctGWxpvIPwOjWO9FtnLlHhBxGUp+y0kORwWjZVJpYSoyzSJFkwdbY1IeX36pASSXBAPd90hzeeekpQbjuikVWLBepFsoGSE+PE/Fm0Ys/C30i+rl4l41790gX+sDPZsXWUVMmqrFIaGlO6oohMtvHwSnrhSyGRP44Yr0IyKJ4s5AmHcSNhC4uDkFM8AlJSsLb79Vjz956GJwwmy5f0g9t0wmM9lILPM3K3ROTsjPgRTxpTjEe3JzEZO67cFaiMrghHOJ3kySkMS7AxX8mkAwXkRMpYIs75V4nF8NAU0FTjOv01OSE+Gbet13KMzfOa69m2ok2NQfF+suZyxNhBVDI/SXRwswzQyvZDlWMjXanrV4SiFOVIqtwrRdJT1Nh9XWUsqgGFMZZdFSAIhVxxohaNJSEPN8ct+/ZUQ4mki5VxXSsyto+FJb1KOk+smGzbSH91fAr/IDXx31vDXVqNoxLL+MG+iz4oh41Iq7oZfTapK7J5wVnZmCCxtB9zdaMmAmawiRfsBz5Vaw+83Vabg7UHLuUivzWCzBy/Q0wWDAsQrihup+Ao9fABB59qQR1ba4Tmi5YFYlPb08ggDwzM8juniH84k/HaMQ7aneLeiLVKC/+BFLzPksvGYNigMv98IyaP5mYmTTSbe0cQK+KJro3ZaGN/kPSBGj3IwAT4K9GGmOI0ylbME5jXMmZCMt6dtGgso7vsfdiimMq2rJbbrHbZMl4XETA9QAr8gX0iJB9YHzHcRgPfuDQHFdz7X1oHw9BTOdpTJym1M1dthXPJ5gsqfhIP4UxJZuNvFtvhZag7b9yO86N1tM76xkDbGLQCgDT3sHrSdmbo/nzhsvysTK7ECH+o8qzLAWi7p5A/O3pa1jtn95nZfVEPT7VdxRqfR9lnJKcZVqjCJvyzc1MfulRk2VHEI9MF38aeJvlqsGU7X3j3lxERQW5Pf6Yr4m5mt/IDWZnUZHCgpmwWeh4al76wRe+gOWf+5wCjhw51oinOT7YFkC+ePcSReL17D8r7LxdwoLVGCddtseBt8uDX13KdU7oObvVjhS2KQypPjKofUf6odv7FDrrmjnGk1E9OaQrEs5N4u1yFkQQtvSmDIIjvFdsvfX0TM45Vex6zM9YRENa+kjZSZ5lHZgRqoAwS7IjmZ6p8SgI09Six2PPFqGh1X3/IB1ll9GhXgja/RzDJJhAybl4UJihlF6O8j6vuPBelNngwUvSdPjTj1ZTUjVLv64Z3BXyPPQSZBFmWCvTwoZt1mzij1dBBqtZXubjxUKD2ghfYweLWZOGbw4+L2nrVoXJ/ec9e+bs47cAvNh3sOqe92dwlT330vFHL/TcwTx8pAXgxcMd6unD9dDz5Ns/+SNpsb1cDGrwXw9+nrHDEaTZtuL7P/0Levv6sXp5Fn70tdvtJnZPAi8Ke4OThZqo/SCjX2WzKIaKnb1MHWBlWPGCmJzFfKhr1VyXhmoXoIsscC879DoGTh6FlhsdbaOALmc3geI30bTsRjR0OF5Vm4xuJR5WpTBLpLwrfjEyoYouPsJvGGua32CMXLfVZelezyjJ7mBlcSaaX5EnCOIfwQjsMFapxL8iuOA19JTTMNbmo7VrtqEjbNmcTW6VBT6/cggXwuKKbxgkg6CIHgJSZ+WJzcR81/LkhEJ+GVkuWzcnKxWWYerIexlL20dwRUAW+RlmtcDZpr1lrA1DKpqO2eoXJj9EPcHJeTySE9nMgSd3ng1hvZym14ttaq/01Wp6vWj8uMHmZlLAFh2BFWF96BISEMzkHv/wcDsmkdwPv/zlftRTkuDMmPib96WhZfcb6KdvjWV0q+X39dQC92466tu2mppuNDQwAcpmX79kSTjCGVXpww1S9IoViMjOVq5bOyuhHfQFmEsyhgALhWWU6VD+MV3z5zMUE1NN4IXsLvalufX0pDD9IBzeYRFQpZB5EZyMnrEAykv0Ck1ZE6xFdZN7i77lmQEoJkBjS1139L2Sk4AttwxCEz2mAC7mTY6zc0gYjsMKn7xZs7TMbJhumreWVnWjvKqPf/YxcnNkqsKuMzYgoOg9DIh2wc0m7IWhFVegb+gsfTuy/QS8Sg7ZeXV4UQuTtCoTtYcK7I4eyPvfx28M1UZWKM33j4yLXGhOfPv76IuPg46JcuZksGg+SA/Qt6KLoMtj/yxlWoVrP4BPb0vAVnqzTCeTcXTar1ESspeGtLJwt2yeAF7M5roC9LV3Grlx5twhTDnXuB2Nm/2ZIuWtVOdlkR5582IURtiDEJzucFF+IzfbE049lsSk95JF3Rg5stOhibU3Dbo3P/ggo5nPbugEcMkv7cTu422olHFpsnsCJ4zcFP6V7EybtCp2njpnFUZyzkNw2R4MFFP2YlOtd9T/Mj/KhlgYLrpAX4WVkbZjB1LJavi404rcfCxm/LKCik488ebZxC5zUprcE+1kw4is2Tyuxkf34Z4bdnPu6kIkU6ZkvJE1y74Dl+Cd3aGKJ9F07esTe6CtqQLxOCvwpSI+D7viNqGz2yRZkgp7JEGuMBqsShS5GDh/neBLeNjsTVX1TGWpO3hQMeUd4YZTkSLxxDwxL9UQiHv87behY+Vf+u93fzqKwlLrezCZcuWvf3ElvV1Oo9qGCSPn7IztsnFVFG65dvE5Y7u8sbcWO4+2szhourLihzR47COyIsR/iqwn3h8KAEM5bWHSp6ZYxv5cR22gX80IwRrbeVnMdE+V9Lg0eU6I0SIriYlHXB9P10RCupQR0yuWRiGHIIywk2ciq3Z2bHkGHnv2DK+X+15kAZTJZxtZrDyyl5K3PqWP+rkmE3C7bfFGlEWtJCPIejy/ZG0UHia4Fhw8P0CuREE302xcUsG6JJZd5NRO2qlTLSyyjUyt2wN8hqHz7oMPJdyOWC9yGB+mB6Zccgn+8OabC8DLjEdg129Q3X2OgJfHFoAX11dn4RUOe+C/H3mOFPow3HbdxUy2+YheDLUKyHLX136O+++5Dsty0vD1h/8HN1y1FetX5lgd44EHHsBv/87FhGqWE/44QZ3Mdqw673PKokQMx7oYJTrITZsl7dLyQ33o6u57fQZqmKThquU1lSLh3Zfg1WswgS42lfeBNTtQagh3G+QwAzFKxZeT2UovJkwUMM2As+5UZSMiBg1Lr1MWnuEEWsRc0Ze0cKlIyMZSpEPhxiqoTu2k+an1xlHNDfDwBXei1zizWN/p+kHlPa6kgkgih+wZJE5WSTWhdCKQi+XAydhBVxOxyLxyCOBcuEwDzVC3Qr/spWeOkVF6sll317RvZGIEreNtGOX3ctaCxgMQivmLE7RMOJKIUx/xZ/H3Q/rKLCzfkIMQbjZDyGxRc8J01S9yDoWseD31dD49SRxr+ROYOvWNB5ah5JVXFHr3qG1ML4/hiQWuI8bLMEHM06eZNkPZmmULj9Fh41XrEb96NeIIumiYiGJuAgaIMa9omzuLi9HBP5WFuJs+D8JOE3mROVp1uvszLqadxq4dSnywuY2NaSmLSldidkXnPibSPy8fGAJoHJiYhYmkxThVB1MqjIu2jEa6lS1DrFq7piykJKtxw1cpRUyU58QUwT5dix6OwlqfFW7dI66+p2XfS/9XUUtfWdNLdlovF7b90PQ1IajoXRoTdrp7KKjjUzC0+iqCL6ax0ntsEPHl/yQ42mB3DF16GlSD/eixSeGYYB8kr1uGmtJi9HDcsCTlDCxbg/ZLd6CT1coApiXJhlDGlWyOK/d7jRGMHMDf36ykiaJrtOJesheXsUIrFXF3m4Dz//WHY5SDDFsxmTwJvJi/i8xJLUxZaiXjYdhJcpOkiqQzZa5GUpg6TZvsoMxgdF2aim4bM135XXJVF7w/bODcMYGkuEDFVNJyvBGj4Es2ReLMo3+AkR4djlrmjTcinRVVafKsH6NB7EfH21HPSrStzU5i017oj+63O4zKxxvBl9+E4WMfMK2jxWX3SzFCCgmxBFwCiRLId/YNCcGS229HdI77zC+XH/QJeUEF46efeKMGHX3WwIk8p8KCkeS0Lv5I3PDdnz7CmPoS+PqMIpqglNwrbe0J2P3hpTh4oke51s5aHpqxQ09gtKVLAe54WaY26m+svx1FXb5W3klyHaIpMw5nyk1ORhjuvzuHaUdz25wKMCISCxn7u5iO9MedO5HGdKTZHlUE2P2f/Sz+8PjjynhaUtaOP/+tgIC89Xh852fo9cX/9MLrVXYAeWQo10+8mXv09mP4Q5xXZyK18tQtJQWcZ9+txFECSGZg029Uj7CDz7AQZzNG8zp5X3wLzvSFKveKhnPa0jgtTXTt568xUutOkQFptCgQOvrOAniuzCJb1UY2Pd35yXQWrFNjxbIoLMuLRHqaabx1Nc9Nd8xu3v+Pv1DoMPbb2fv8vUaxnh44TacrlZdIAIaeLPSBCTXKtt6Nilb7Z+SOyxJw781Zc76/Lb+TgTK7hiNH0MSfAfqcubOGbaa5ex2ZqpZzQKjfEIIn+GwPUDrnZM0gDOlXCWimEtyZy7O0wHixv6tUd77nqcd6RscZf+KiGb3+43zxAuPl4+ztWXxWL+nEfjS69CWQsfdwAd764BD+/Tt34dLPfBvvP/9L5Yjv7D7CCkUNvvH5G6w+QQFenmPkm7d7+DvK/gAAIABJREFUBm92X2+sD0viy5Cx8i4CL5SikN0isgQzs8X29b50cffakY56fl9XLXhsCOe/9VeMl9GFnJ4ugzZVgbHEHNREn2+lKXV1TMvfB2nGsKXzLQy0tikgTCBNHf1IxffdfjU6A6np5iJBQBZb41pxeI/l5kdfU2v3cZp1F6MzWGI8XW9UXH1XkRwNDI6w8tnDRY7jDarMEQIi6Wjeq+OmKYggjIAxMhELy0eSivwMLQga6USGTg8dpUJSDZhr2pCegFs3OFE5kRzJuUWNhcNPRcd4T5rtCtOHC40R0m3KWkkHD03AUFAUBgOiYQyMUeIZf3QP0yKCZ274+eSTp3HylERMO+7rq69Kx8UXL0Ld3r2oeO89DFPaY0l3mi/gpa6uh+lLJmmZxFZrwghopeTiwlu2Yf2Fq1yCBrIQH6I+uYWAUaf80BtAJEnOQJgx7j7EUFYAVFdNoxlFSnI1ARbr1/b1MY65K1iRFxrFPHWyqizeNMKuMIzyGkanYigmDc0+CdAPqRQ5gG1bkuqPOoJhrkxLxUw2JysA132Rz2yoeLpMD7go9+dIBFarlpOh5xoAdtUPzn5vjlbvp/lqcXknyujD0vLWS+iub3FbKugTnYDR9TvQMwm+hHflw6eYJq02MpIJymEWrV+KmgMn7b6OP9lefmomHfW0o4/SBsvE+e77voF6XSSNwCf7TDYZxI2zOXbcQ+ZLDzere0/Ti4USAlf9+vVbM5DOlJ6ZsCX2HGrEm7uq+Tlnr/98AC/mThFwo7FVUo7o+WGxD89inLmM9VX1xqkxXxiBQUyfKaOPjm0Tg/fstyvRVDPpZcF+E6A+iSDtosRA3HxVGrJonF761luoJlvAkUwxkIv59fR2GR7zwuH8Nuw92YnWbsfPXfBwG/z2Pe/QrDkyJwMjTLDSt07PqBJWYBQLHwK4BEzKXeS8QmiWmktpURAZDf9bWx3N+P/yz3K0OmBwKWMkgbkOShFCAmpwzYUfYXCEvkh8BuKYVCOb4wP7bkZBqRrFlSbzXWftyxMHoaMf2gTvM0vwpTo2Gx8kXuDU1FRYtcuYdvjQN5YhNjZkzhtq+X7CZn3oO9/Be3/5y5wu6/UPP4zv8DjS/vZMPg7Sa8gSf4rm/fSdB1bht/R2qW20ZxsobBd6II3b0GTPXxuNGzmvzgSsndOJTL65u28If+ezW1RjKmaZW1wDvUuO77czotYmp6Jv480w8j7ISvTHVeujUU0Wqpjy1nJuNsuEvLgeOlPVy7lzejNmP60Km5ZTgssxdbZNZE6RTBxauTwKuTnhnIdDZ23K28v++CvBlyIGNbjbUtqPI6n9FNrqTGxxSTnqIxDVmLkFZSG5yt8tWzALmNdvjcVnbyD44kYa3nRzahtZLU0CLlJOpKxnZ6C7l2f3JP2fxAR56h4mWJYaT+/Jlnqnx1Jx3fkOP2cx108LwIu7d4l7r1PdQTboOWjjf7v4HHyqex+5ALy410/n/FWyePjCd3+Fz954GdJT4nHft3+Jl//yb8r3OnKyBP94ey9++v17rL6nIjV6IXpO6RGWlG4lfYXIt6SBiI7aHAkrg51vNDfhOxaj3s2K6MVndkPz7k74kOkyZCFhkBPw8tWibc0tqJ0m6tnRBZGFtIAsQpdcF1gPXclHXCBxy8FJTNnYkrEyccW98NVoKduiZIogUic9aaS6MzwJ/EQay4FT75NRYO1NoQ4OwdD5t1MnPHe2i7f3BCo5odc3uUcBlYqlfF9/elxGqboR49uvAC7ankZEMkkgIZJRqFrPbjDbxtox4EVNuZPTlYhpkRz5ersG2Zw9PEL9FMmQ/EiMpbjMB9KfJZRslvfLuRjmhnDApnp9JdNHLt0UP+PFXD9NZH/96wNoptmrM2LIQz/ayEWxDr2UHOU//7zJtE2YJGzzAbwIcHGa3i5j4psSk4zR2Cz0+ydAF+KPH/5w84zPUSq8YjonrJ02SpF6uICxTccoJTW/rdM935XkhG54q63NO8fH1airT+NzIz4oXNxMXlyp7oZy02eOnDRfcw3TzEZiF2M4KhUt3tHoGSYzhuyWjCQ/dPC565qMqHR0jwhDI55GpYkJfgSijBgJcy/tKHwkFGu9VnJjNft7czYDvoyPnWSZ7fufR9FSXkMZ6LDCKpKxZzorHm+CL+MbP43uAR+ad44iqfJ19FRU2X2FQCbjaGhq3FljfU2E9ZK4ZilaThXDGKxCH1kOZmx4KCsX7dfcgtYx+wc5tsOINaxwt/YOoY0AjEhRggjsaghQO5I6irfWN29dzDQc9w22ZW4Q1ksTE63MUrL5BF7MnSagdi1T0nxJ0ImP9eOGWs+EM+uKfBA3WG3r46AnMGLbFhdRcrmvyY7ZuTQ7BFdflIAtG5LgT4D60C9/iVEH5txyL2Te80X6IOk4jnWhx0H13PyZAoTFllLqWHTG6mswW45m5v3wjk9HT+PZ2FPb7yoS4Gj6QcWQWSHpelOsHGFDXXwxMq++ekZg2Wzu/U/Ce5raDXj8tUrUk2HlrMkYeemGN2hAXaREkctTEUd2UHV1Nk6dvIBsqH7FMNVZ6hedgHBT/0EMTfot+ZP5Ij7KwgZ+Zx1ZE71+0zJ0JdXr3s+kY/nSaOTlRCrXZSZA5nz2c2NTL379hxP06rPeVN+8I425h1549d1ae7ZLGFlDBPN7bZ4tAQF/9NXliI2Zf+8Pyz4RAO5vjLNvsLkH/Ed6EUK2i7HDWnYuaxDfT92GVnU8Ni4JwY0XJinhB2ZQvb6hFwWF7Th0rAlHznShsXl6+awY3W9dG8EQCM9dKSmwxTPZcfXKaDJhohiRPHNTXlm3P/ZcPs6Uuge+eI8MYlXta/Bub2LBlbIsWfuTRdQz6oviLXejptW+kJKd4I8VDJG4l+yoSEqkXQH5lj0k8stGAi11+/cr6abTGUq76llhvDQ1nQXM5PVa9RhSIlkosjAjV8ywaYcgEvWA6Gj8ncyxdK6dFoAXVz08s9+rbnt3Zm/w0KvH/36Jh47k+cMsAC+e71OPH1EWrz/678dJ2YzAF++4mpOcQZEamYGXwyeLGf23D//5vfkDXmxPyhTJKg7/ZMEQ7e44Lx7VtNRUNhkuhPbpXQ1Y8fzjGClvU4xxbdvA0ktQOZHsVM5kfr0paYgRq6yyR4RoEMBFjaR7+JIlEpf/EvRVpnjqqbaK/iyxqyZBlgllwSSeKBH0pPHTEBHnQmx419Poqa6z93bZeBnaA7PmFO3s6+tF+cUQK2t901JVxa9Gyx9/9SitS3vof9MFbW8T1L2NGCYgNMrvKZugSBqLqqRqy82SaPh1rHabGTEzmfQc3bBjXPS3jLZhhJRsZ81vXAt687tkZZjfL2wWxZ+FfwaKPwsr9eLNEsy/B0ZGWk3ULZQM/PaZM+iyMesTps+/3ZuNkJCZy+eOHm3Cy68UoXtSi297XpmUUnz5y9yw00h0lKyR/GefRRsp3bKx8jTwIgu+Vn6PFi2rbYGpMKhCp8C/z9ycifPPXzSjhYvtucgGw0jWTqvIkbiY6GE6V2lJE5qb3QMvQoO9aJhXwSfZtNAUgEWe987OSNTUBduxviIjNGinkep0TRPgh7GoZMo7stDkE41KUvMNNhIrIbOIYW4so251YpjLRefVdwxiJMo+RcPRZ4WOBmMtVkHrM/MkHk8N3H0E7I499hgMlJ+MSKVQABiOk2I4KyCzUsCzKYaqIuOAzdeha0CN0J4SaIs/wgD9vSzbBO+Z5LV5lBoUMLTBetzUxtLLhUBVG5mPwwTBe5nMYy7c997+BdQT2BtyYNyUQuA7m2BcdasRVdxUyPcTWVKoyJL4Exxk6kczEKPjGPut2xZzzAxw+7kvLO3CM69SEkewTtrHAbwI/p/O6nVVXT+OFnQqUlnLwqkvz9H7jizUOgDnggaHkfJ6BVpbzm6yhO2yelk4N+QqxbNBwI41Iwfh11zKsfisHEDmRQOTmwYSclFCxmYPY9ddtTB9JbwPvm4lbVWPDcCXwLo2eTH0BCvHWECwbTJHxLIqHkUJlK30TlLPMm+6CfGUKc51LnD1/T9Jv+/gM/b46+WonMZfKj2pAqtyPqB0hkUf8ffgpi+UhYuPdt2JugYVOvsGUS7gixNm6xcmDiGsvpybQxPAY2K+eKEgIBXvLdqOto7pd90C1mzbyIIYYZ+1K6Kxiqk/CXE6j7Bg5nItnnu5EHsOshBgcd46euF8+ysr8ciThQRP7c8riz4o4pU0YTO2XLA+BtdfkTbj4sFcvr/4/Ty7sw6dNh4kcsyE+j0wnDhAZpr186hJy0Lfmk/j4rWRBOQSHI5pwpb649/zse9oqxJLLbI1Zd3qgNCyaUUYUwg59k7DmprLOcoaMiM9RDHlzc2JmpEp7wCln3974YxiCuyOJ39i8xGE155UYuuFsTjCvhPJUXXGdpQFZkJvyx5mf2xbEYpgVgi/dGcOLRKmB+gVI34WtkROVE+msWFSFj+X/pH3SkErP7+FbFzra51OqbLK0K3EtUtIgT/XnP4s+EnBQZon1ngLUiP7q6e65Z25XtJZvX/86Utn9b6P400LwMvH0ctz/IyHf/FX6oR1+MpdO6aOdNFN38R7z/1C+fc3KT8qr2rAA/R8sWyeZLw4O4UxVrnrOck2eplMIsULYlTxSpG0IW7fCYxbAjH+Y8O4+pXHMXDwjEPQZSIqBbWLLuMi3XqhKRsyAVlk0RLGhaYY4WpZzhSgRaoxMhGaF9aRAzUIOPGWlUmlFxfYQ1d+AR0Gxx4FkkwRayzF+MkP4EOfE1lIyeQprBivIEYRb76N9MrZXUjFe4Y01Yo6RuA1W7NcTOflrZxbGAU+oSo91P3tXHQ3U3zdpQAt42aRMj9eFtGyCZDIU5FKWTYlNYmgUwgNgmXTJMa9UgGdrVGvkRNux0TntJKjsDFGJdJDyG5xL9WESTaLWqdDSGqqksZjBlp8aTrpakPw5GvlOFbCidKG9XLNljhctCF2Vou6R/9yHEWFnU6Br1tvycYGLsDM9OhSGq7V7tuHRygpSCeLZC7VEPF4uWfLFqUvIpavwCv7h2lGa536EkrQ4UcPboK/0Js81ASEefWlIyj66ATQzA1DBxMdDKTw2ixCzR8XSCA1IKCTP40mDxe+TlJDxrnprKpOJfBrzRAQ0KWDVTF3FnOB/jR95YZjVDa8kQkYjlyEJlUMOr10/Dz6UsQEKL5Gpqr9BK68lf4gsb0Ka81V040GYd3ESgKWlFee49bH5LDjAr4wOUyaLDLlp5/SLIUxSDCmjylwcgnMiTxeEXFQbbkRncRbFtW+he6SUruzEFlRAEHi9gqa6Ni0uJV56ChhwhG9qYZjCL4QWZYRYiQxBe233IdmB6wXOURWZSeS6xmlTXlOBX1fpsaVSUN1ScIJIbgtCS2ywY9hcss3CL6E6NyX/P356QIUV4g3wvi8Ay8xkWqyA71RT+BEPGil31vJhmhsMVAWx4hw9nnI9njU50bDkbXQkuON6D5CnyuOr8KizM3QsegRyGt3diEfZqyB+sTbGKVvQDzT1mJo9GzgxkY8ZnpHuPG6/D50DttLmGyvmZpeO9EnyK4jy87c/AbpytPdAi8/gltpy2DotE5PCaShbxzNWyM5Dzoa20OzsrCEKUr/m6VF0z3ePWTjPv5aGUobnLMTdmz7B9l8JlaZjHG8zAiYuAiHD+WiiIWRNqZZlVNm5gh8SUUXbjfsw1DTWRaSifnihReyr8MZfaDDtY3ld/bj/XnhpmjFeFrWLYuSg7BxbQyW5kRMbaZdzY+eHOLa+Hz84ndHObZbg+dXXca4cY7Fb+9usEt1i45Q854f43NhvQ6RNc2Pv7aC/jazlLjP4sT2HG/CK3soMXHg7xRAtkvwAUa0MyLZar1Eqpn2ijtwyRVrsC4v2ul65CkCUnuPmhLlzAXHTsrWBITpIdBnvkdyF+uYCuQ3VUCZxWnM6C0iX1uaG0H2VCSyMsPdMuUVoPGvCvhCKbkLTNhn2IhlVf/EABOgJGq6l0leAwSdOyb8UbjudjLS7Qst/lxvXrgylOAHTdzvWUKmjs4OzJL1yAD9VMQsupEMl8FOeu64s3iYQe9U0Z+rlcUEc6CCmM2HxUcgm5HoI/Twk6RS2+drAXiZQQfP4KWqm9+ewas999LxZy/z3ME8fKQF4MXDHerpw72/9zg+2HvCTkb0lR/+P+opL8WqpRmQv99JCdLKvMVWHz/fwMsYq23Vq6PQprKXuZjBFtmwCQgzQpqiVFOv3LcT3q++SQ2mAzowJ2z95jtR2kr6LTdaWmplTUlDWgIJPvRroNEqgYVhLohH6SLpSEErVM/U+p0wFuVbX4rs1ehevJW+Ko5nGzWj56ILX0Z/Q+PU+2TvJ/u92Ct2YCwuh4lLnHS6hoikj04Ztrm63sLQ6O0fJMWzh4t+pmMocihvBPkMEGjpRdBoD4GWNqhZ3RR50wirrTK5O2oScRrBjblMmK4mTXm/fH8xVwzmpknYMMKMEZ+UmQAxneM06uU/ziRHEigePRpJxpC/wmTxIltEkoZENqQj0CKsloAIJt9MRnK76i/L3zfSLPP3zxXZsV6k0vvj+2iyOwuvFz0X5b/+DSVHBMAc9aGG1+YH31/H+E/d1MTcRt3v9779bRjefZeLa/fNRS3PZYRJCLorr8R//upXCKOU6qOPavAqPQlsTXV3XCteM+kuQamZ9ONr71bgHZqECggqmwN/egEF9ddD1ViG0a52egVQUjbZGf6U6Y3R+yM2uoZylX4FcDHfjnp9GDXvEVaAX3iYL7onNw+uvpM/n2dvPr+WlTJZpIcwUSYokWBX+hLoQ1Mx4BuiPONXXM9NSQp9LdxQ9+mYqLR2YjUCfM496GLuB0N7O47Sf6GfSWK2TZ5xqcyJ/l5Ygz2UJCnV92B6GW29ESOtTEoqfM9Bws0E4ikraj1ditFh6zHUNzwMYdGhaCmqVJ7XEQIC3eIAytZ3wx1oSMmmQaJjAGt5SQfCKM2pY7xyWR1BOQdDENOrEUSmiHhOLc8MwbfIGAkLDXTLe0BMK39D0FNYLwc+eAQFjSs8IoG17Fctq8GplLDVUcJpuxmU140SwK4nBb2PFX3jjZloIkPTtoVzwx1NxoQA/zFRGuSROi/eFZZR4rQwRnTxP6Cvred4SiaYSPxkPuLNLOwX7flXoDMyz605Iqb7DEYOvaswWlR87gIoIR3t7SYLYxy6VRvRzX5Tnk15Tuh1JICLAGFOo9OvuALpl102K1Da1fP7r/R7YR09wetYUO2Y4bd0cQFy0vZzjLOspmiQHPIfvBY+OHysFW9/VIvCcsfgy90TRxHTyEKNhSRZwJeuxMV4JnwrgT7XWhMpnmzfGMXn/2wipKQsLmOa3aplEYwbpgQiwPm19uT1eP2dcry7q84q9lhAx+8+sBJ/eaZYMci2bdnp/ihh/9qyXbZuiMF1n/r42C4vf1CFD091K3OGo5ZQ9xHZLgft/D10GZm49qGvM5SApvBO2lsfVOKNXaa509EYPkT2sQAwwSwoxDO9qrd3ev8XT14z87EUU16OySvIghEQJj2NaYMcmJwBdxIi8bcXz+BEYbdLP/6U5sPQVTFJiz5ywYHeClDYL4mIaZegTLvIYQErVdKcEuipRcPyBz6Xi8R4E/gyyjVQB+XPzZQUiX+LswRJT/TRAJ//M2fayNsmC55SoolE+tKQWXz3PSvR/s6z6KecydaXawF48UTP2x9DddM5Al6eWwBe5ueK/h846j3f/AWr4i1KlLS01KRY/ObfvozK2iZ8+9//SDnOMLasX4Zvf+lmu96YV+CFhmuVTHVoVbm3ERWYZFNxKaKeegydzZwkCcSISa0s8E0VJ27hV2zFUDIr1qT9CsggEahSfZUfZ1HAticdMtqJsOMvY7DXQsvKY49feQ9aBp3zFaL6Csl22UWJifUCQx0WiUF6uxgGRJpEM1sF/FArAIqkdnQSiBGPGNtNvCygvLzGUd3Yp2hkw1klC/Pqg/9gF3x66NFgoPO6yIYcUMhtz0nAJJFfCGDjbj84ejSU+GphwyggDA17bWQEjt7DM0MrJUdD3lxQWOzZvBlxqyJrwTvAH6EpqchMWI2wRakIpQ+FmuCLp6p1j/2jlPHSPVNxkObveM0FZL2snx3r5dChBrzyj2IukhxLY3KXROC++5YpkiNzK+OCoYQpEnNpmTS5lB/ZdP/sZ3tQU2u9KRCJx0MPbSRQ5j6TwNX3+XB/LV5i3KotO0reJwbPAUaaMxub4NVUzshFMhIob/Hx6WI6Af1txi1Xm15MC1iEzp6zm9Vwst166V3hjtm0MLpEQmc25TPFuPvAj1U7b3P1ifeXhulVqpgEZF26GNoLwwAyYMZpeD1d045rsH5sNYLVH1+F1VW/m39v6OhQmC99VfaeLebXmNkwQgVXpJsEnoY2XI+xYzvRU1TIDYP1hkJkRZJ81kpZkW2LXpGL3soaDPb1s99owElvgF4uwkeiyCq66340OmG9yHFWFbcjgMyX2vYBVDW6iALntUqN1eLS9ZGIoZ5/8SIdvcdCCZZTwiNohIP26jtVpOs3Yefrv/M48JLCFJJRDsLNjMl2QuSa+kb6ZWE4HOLHDcS43WtX7q9jXHsXli8JpYRVq/gR2bbYruMYPU3GAzdd/ZL2wSqwefzXEmz2uuROjNP7yhXYLBT+sMNMWWklw3GknyzHJsbXmsYEDa/XBL2RBjiPhRM4j6VxvchJnR3Tm6lnuUyniV6y5BPjGeLuMzJfrxvgBlHAl/wqkcJYf4qv7zCuueAVgmVnCy3yivLqS7Bl6aeQQTNTSYT57WOn8OHB1ik/O/NRkigBvntgLwYb2qwOHEBw+ciFt+HdSpr2uogRljeKCfL2jZFkmpiYL5ZNxstV3EivWx2NxWmUREyzmZ5LH8pa7Ke/OkgpkfUzv2VjLIK4Xtj5ESXOlnFp/LCYSF8C6CN8Pqw/WQpVD39MbBc9Tc2feqcS+ZVi7Ou4BwKGuxFygM9Yly1rTI3r/vuHyF6d57TrjtF/7cmXySB0cR1jWID8KqU1/WQwFpxpx4lT7UzKsmAOzuXizPC9MvRKktYa+sGIj1B0dKDT8eCJ5wtwrKB72jWl73A/8ipeg4GsF1mnh7IA2sPzbCdD9diyz6Ch3THQtDk7WPEK82Gh70s3JWOsvgTNTAwyUIbryIh8hqfp8uXeZFTX9KjR7peODl+mB3Ksl7aS0r5PXxSCk088gSEmJVm2BeDFZbfO6gWqG96a1fvm+qbxFy6f6yHm7f0LjJd569pzf+B5A1440VSuJOji476h64qGHuS8/nd0FxUrHSMggDAX1KxSCrvFKywaE1tvR2sn9fF0g5+tRjat4wAGTh6yoi6qkjPRveIqu4hE8xXSkO0SWfAi+pso77Fp2i3XoM2P5nI2iyKRDpmAGC+FhSISn0EyYcRw2Gd0EIPtDeirb4RPXxt8elsUNsvwoLVsyJ07RIyCw8j6cZfl4s4xza8xAzEiIQicBoihcAFdPn3cDaihDg6ENjUe3okR8E5mZYU/4wSYMkfTsViV6vFFfy0r1H98sQRdNuZ9oqsX1ktQ0OwYDr/7/WFUUPpgyzgx983dd+Vi1ao4j5+PHH/fPoIhL5eQ9WV9U112aQquuirT5YbN3Wt87FQTnnxJFo7TpyvIxj+A97GqrxGGmmqsjGAluJvVzwFqXiZ3LEZjMJMeoqeqinJP6skecwTo2H4/8cMQWnQPq2VKEpcALtygK+CkJZo3+cYY2p2oIweh9vOnx0Uc/JemwzsvHqrIQDsQxnfCF2tHViDclyDNJ7QN9vTgCJkvfeU07najyfXwJ0sscP02FL/0ElrrmFZkI0uKW7GE1cMqKzmlHFodEorIpAg05Zs+a5y4+CDBKz0f9v6rb0RD5goYnLBe5PVri9vgXc2obJpQN3e4rt7mpgQiicwQI4Fpuc6ZqTpkpgUjLSWEEhzTot8MwhpZhfyvPxzHq8//GqcbPMN4EelacpyfYohKHMRlU/G+LaIfWRdRKWGqGCSVS5L6+IjEteixtKQdkWH+yrFsZSZSWdaNd8Hv6CtobiBTjM+V7YZvcMstKOyh5IBzZCKNoTUcM52B0Akth2A4ugdaQztUPWS6WIDwuvUXwGfIiDhJKJqMhHZ2coFkFebdeSdCmKK00Kx7QDbNT75ZjpNMdLEF5NbmHsGi+KMsLZwFHIyDOhw+eR+u3ZKA5YyAZpEejz93BvvJgGmjjKy9k/I1MgZkWLxj/BgS6fEzRsagZdMnpuH4hmtw8Li1kavT60fAfet6Yb7Ygy/yHrnvEhlnfj6BkGW5kQoLxpOGvHsP1uHFf1ZMbU7Nn/nVe3Px7D8racZu/2BlpfkzyUhSg6wZdNuE7XIFx2sn4Kun7s86PqtPv1NDk9fpmUUJdbvJdjlkBV6H0Ldm05XnYfNXvuR0ri2v7lJ8bUQaOV0TFufXyOpISghVXmaSIo2hnMmB+QVtOJXfrhisOzP091R/ODqOFFZSU3QKCJPH+0anY1HDhnn85ItFOML0punm8dTG/QiozsdIvwkUDiH4Il5KhTmX48xYAowOWORBXJ9dvZjgv3gh1ZciLVatMK5dgdFz6Q8v3nMqAi6xq1cjdvlyNA2G4HmmOdl6+v344Y0wlp5COWXkI5Q8mdsC8DKX3nf+XtV1b87PgV0cdfylT52Tz3XnQxeAF3d66V/0NfMBvIxykVu1PBodk54u7nTNytouZJHqqcrfDdo3KNHOUr0T2ZBZ9rLmG9+Ab1Q8kygk7UePavqhiDGiRPm5U1GX7xGIAUQffxYDndYLnomLbiYzJ85pVSSmlwaqJ3fbsU98IxhjvOkWVjUd0/MFMBLliQA3/gMtCByk5ruzHr01Dejt5kbAQP0vF/fuyIJs+1GOLSwXqRrMheXizvUxv0Y2xVJJD6FOOTg0AEGMBRSpkCzYnWZzAAAgAElEQVTs++O80ZHERUicMBDsN/LSQxsG1yBCE+4xtov5ez32Clkv5b3cDFl/7o5tcbhw3ezAkRamH/z+fw6jvd1xAobcow8+uF5hn3iKvWM+n1/8Yj8XZgSyLJr0/Y8f3szEgpmbBju6xsXl7fjjk8XTGlSL1rqHiTb9lMIFBHijiLT6tSu7cOnFB+gDQ5CweRxDldxgtnejrjoCLa0mdltoMLX93HTaVkEdfQ8lYpoLXT0XsArDhYCLrNUdAS7yfhb6oY2yTtPyosbFW6tFwOIU+C1Pg3duAjUv3NDyn3UjKxGlcU4Vn8n9P5+vHaKu/CirbD3FBJ7d1LNrQ0KgYcqXvEc25eILI1Xe7t5hjDMiOoTpFs1nKu2+dkQuJUVMbzBXece5ADeS+dKnC0UX46XrML1/0LqiVoxV9NJwdwBtToyopz6U13INPVDCeT0s2SECSoczLWbJ4lATG2ZRCK+/L97f14AHf/AdHK1ePmep0W13fpN9wuor413d7FKO59E4ZWPMPSxGMGRfXl/TRqnpkCIJtWwCEPr4TKCXIE14+U50njrt8FYZT1uB8qhNvEYmppjsceKi/ZUfX7I3LceRwNFuBO9/Cl6N5QQ56aM1uTOTTXZU5mLEZaczwWrU5dgTtWYNcmmiqwn0zLgxn8/AuTq2SJ0FfDlRrreSfwUF9ONT573MS2/y7zC3/JJrUNuUTvAlHpsp+Rlj6tVfni2gXJgsVcoDzf4e2t523Gvcg8H6VrtTO7btJjRro91OkRHmy7YNkU7BF/MHyDyxflUUVi6LpMlqOAyUgMjPbJsABY9xnmiySZAUuVNcfACf12Yr+ZF8Tiw9lPSM67WV88l3e+j+5YiKnF/m4cnSDrzwQZ1dMca2DwIoqQ3exySj7rNzbSzTv1KTgrGB0uFIeq05ah1dRvz+iXw0uyEX+/wtGViRF+vwONK3g5SOFxHMPU0AJv9MpzIfuztWzfaaOnqfSN6X5oYrUqRlZMIIMGYGQf7+chGOEnxxVqDRDvdhSRlZLw1n7/MQnTcaVeH4KPUaNFqwXkL9mB40WgNdWwl8DZ3Q+Ywp6wQZQ3MWh3B96XnpnIrM5NDFixG9ahXili2D1mIs/M//3IMmysoFLDW3C7cn45prFqOIRY0mGvuOTbIMF4AXT95xZ4+l2vHG/BzYxVHHX7ninHyuOx+6ALy400v/oq/xNPAyzljO0tWx6KZ2c7omXgBiHicmnTfStXz1oB6NLz2Bib4eh/4iieefjyU33jilS58youSGsLK2F5U1vThDk1XxQZBB3FnaQFLPKYyf+IhmtGclJKqIGPSdxxhoJ3GeWgwhIv8F9LdY0w7l/Py27kCL76KpiVIWFrKh0EwMQksDRO9eTkRttZjoJA1zhLRb/YCyKZIoSukhk6ku9xecdGSyFRaP8jM9AYG+LEwVIb1cMSZ28VpP3Jo+GoJgjFAUeibC4zAWGIkhbTh8mLSSkhrBqkkwkpMDURtRih5NH+nZPD85OZsWOB6AjaNr4OfL43iw1TB55U8v2bNepJ8evid71qyX12jAuI9SHGeSo21bk3DttYutJEdzPa0TJ5rw1NOFXCxby5y2XpCAG25Y4pGKUE1dD1MYWOlxojcXwKWj04iWNqPCusmgVv9MKSVGpAXfc8dRhISZWGnSVIy6NtbFIP/9REw0lCFgrA99PUYMukGjF4lcVARNrblxMUcUT9d/JHnAP855hLm8V4wefTR+CFy6GDlLtiFz6SaoGQk5n5W0uV5z8/uHmY519PHH0S3gi5torBfPTSqoXhxf5Jkzj43CHlElpqK5qBptjdy4W/g+eQcFITY9Hg0nz0rjxliZNUb5o+Oiq9CwkuCAizF8C1MheqsIvpD50sWoaVdtc24wn3tvbiwcgLKKSa+KAEwQslKD8R//8SA+KsydE/ByfnYB8tbfw0qta9Plqe9O8KlwdQx6Lc+db0/iBvM2snbSyYDbvb+Jm25Gl1PeKvY43hzvO+kLVUnfmBhjBaKr9mBAb+8bImNny9rbUNttL7OSeSOOSVOxNOA1ATBAWs3bGNz9D4zqOZ6yy+S/iUdIYIAWqZdcBBqJTT/HEvFPu+YapG3f/i9x77u6fz6O3//1jXIcp3GupRfIBas/RFR4AZkbZwH43v5YHMu/VdnYX7U5lok3USbwhcyXorI+ZX6X51CewY3VuxFRUYDhPvE6OXsWrcHxOH7+dTS6HqcPinvAiMxnFzDiXE8TU3eGB/H1KDjxOHburuVGenby1LExA/KyI7DuvM9bXYK7PpOBl8kosY2JlhcJ20W8Xay0x/y3bWTkiLfLfLJd3jvUiLcOMbHGwThjew8lku3Sf5xsF+UBE2mkHz2SAhBDsHLlXXc5/J7iDfIHJhiVVrlO0bv2kkRcvCXFredP5lw9TdXPFJIFU9CO0nLKpyflLx/HvW/5GSE68YOJQh7BtcUE79Q0YX/xjTLsZ2rToBN2bHrDXvhVF9Dr5ay2LIAm36dzr8KxvnAyAfVIGamGuqEQA929GBMwmy2S61gNC6zKmpiDXFZ6MBncWrf6zFW/SGiDXMvE9esRkuA4keodStF27a6yWuNJ4MR//GSTsm489Pvfo7uUXk2cXxeAF1c9Prvfe13z+uzeOMd3Tbx65RyPMH9vXwBe5q9vz/mRPQm8jCUEoJxoeZct04UTmoARYrgYRJaAmLkKNVrYLPdOjGGZrxrHWelto77TUVNTm77pwQcRGGqiajpqMnHKxNVAJkxFTQ+qavuUHyMp4gLEyCJF4z2GxFPPwdjcYn2ITVegTZfp1Ogwtvskhk/tmZoozG8Wjf3w+bdRcz8ASZnQ0hl/oruNTIAmTOipixXZELnLJgBCmAPDyvdx1sxAjBjWiQ5a1gICICmAzOSKTdgBwnKRpKb5YrnIxlVNkEWAFpWO7BQmqQxqQukrEcY/wxkZaOpP2ybM4bAEL8R/qofvG1dYS/68ztIsN72LRpOwxCvL44svZ6yX65hOsm1t7Kw+T6ogv/rVATQ2kZ3kZBH0/e+tQ2JiiEcWCtJXjz56DMeOn03DkP8m98SDP1yP2NiQOY8Z9Q29+ONThTSBtmfyiJlrW4cBrQRcjKxYyj25JEvHeHOTH1J2Rj+uu+Y9emVYbxSOHLkUu/dGIJPMBu1wB/wZa65tq8BodxcG+21E/jyOPBJiUpwQraWPhimJy1WTxz8ofggTZBa408JGQ6Hz1VH6FoxoRuZGsdIVlmZa9H+SQZhRAtHHOB52MubbXa27Ua9nbDw9r2ySwLQ0DSRVCUaa9/YRHNDTH0Y8YkSWFEzjyKGOdvS30Zx4so1xoaxPDEfL57+FKp/pN2reZAlsO92Ehio96toGnQLX5mMLwLxteSgp/dZGtI6u5aFdjyB/Hsx1p7tvpOLaviUWpfQQMjd/9kd6MhfvLBD8kN8/lCCXzDVHTzVj18F65FOeIilP/XxW/OlxtbHzbfTUWXuCmI81uuJCFKsy7Fh5lt9Jqs4C8qxVlcDn/b/B0NaugPIiV/CjKa98x0gmn+mioxlV7FxC4RcVhSW3345IVnkX2sx64LmdVThwhkl5k+zJ2PAWXLDmLYxOWLNkjxfQv6ItliANsH1VJNkvcUpC1mPPnmE6l4Avps/VDfXi8vLXYahsIOjIAAH+mHzrgPdX7ODaIxZaMs5EluNOU6KmN0Qz/lz8h1yPhQf3/BEFlfQpUc2SZTLeh6VpBVh//lngJZnGqIsXB+OjQ212EpRYerv0Gka41rE+G3n+FW+XeWS7PPNuJQ4Vit+b634JHOmGbi+TjHqYYMP1aWZioMmUmoDlhu9+F2FJSQ4vh/ieHDp5dsx0ds3WLY9guEX2rOYaAdI7WfgoIAhz/FQb6upNzO6Pu8k1k/WmmPLm5kQSTOvBrgPNDsFz/6EeZJW+BqNFkpe3vxaa+EjU8d7rpH+j+MPZNmGlJkRqrNazGQTfI5mMN5t5WuREAZRUJmzYgDgyXPwIvky3vpAwhZ/ST6+ry5oVecP1Gdiyhd4zBLgP/O539LCpWwBe5ukG9LrqtXk68vSHnXjtqnPyue586ALw4k4v/Yu+xlPAy8p7votyxhwqlUL+j4VxMjI0Sryojt4g4tlglgyZB8EvjI8il0yKelL5zjz9tNOF5JLbbkPyxo0zGoTNQEwdN5kiS6pr6kfn0UMw7nlHSWiZ2gz4B8Jwyb3oNjje+GkpTQo//aJibijfWwAR71Gj4tESvmkLelp7Md7bRcNdmuCSMmrbZKEsFRLxdXFjjWT1djMQI2CL7EuFHRTC/hTfAHelVe7clt6sZvjQmFlYLRMRCZgIicKgL4EWbSSGVdoZT/jBeUZoc5jQxAqhVLFFmiRGvRIBHEj5mLR1I6sQo46a0TV1dS51zf34wwvFdvRiHfvtoXuz+fmz83qpJaPq0b8ccyo5SkkOxte+tpKmoa6jYV2dg0Qc/s8jxyjtsQboNrFSeMstebMCjyw/s55Gzo8+dYY+Sdb36uDgiBKn28q4YEujwKU5uqnUDrkH77ylCNExjJy2aEOD4XjquSvhS8PrMXo6NU+mW4iJZPREO2JHm+HXVo7hXlaSBaSklEjGgyimHfVI/K4b68lg4k3BCe6DLqGjwdB5B1ktuARQ1BCIELpxeHY2wtNNPgPugD6urpunfy+MvBN/+xtaT5zAhAU7z9nniFyxiykMAWFh8KP8yPKcgjIyMNDQgNFJhoSMjZLeMwAy2CiVrDhYoERYK2Aqr8Uok3F6rr0CZesuRI+zqLLJL6Lh2Lb9TCsqyHypaREJzvR+BxpuMC9aFTa5aXTeawcJvMxHqtF012k0TYczrOwb6W9j8szwVzxofEhruYFz1fksEEjfNfM52XOiDftJva/nvNLQQnYXz3vN2El4l9FU14EZuk9YFCpzrkd73/T940uT6HXeRVjUtBcDVaVKoUKYoea508ffH0mMmx8nM8pZiyTImENpkT/vg4U2ux547aN67OI1NkcPX3HeG/Dzr+DBzo7LbZ0ZOF18NXoIgEjbmBuKz1ycxEKPFx595jTKyGIxM283kQ2QUHMGY/00eeVCQEz3B2ns2+wfjTeXflrZdIopaUmFaxaFfNZMwJf5AF52XJGCDw40OWS7ZKcHTCYZWff9dmG70NtlNptpV1dRxq+nFRNdpuy5iEA2HyuJbJe+YwcZK69CJqO6A/1Na5M4rjWX3Xqrw7n2n++WYycjqV2tv1JYhLz/rqUsPJ0133d1Ds5+L0k/DZy3zxQyAe9EK5moXGs6SWea7We48z5Zh0ZEcE1Pw/yiyj54MUHUNv0ys24XfGuL+TsWN3zIPu9qwTCjoPvD49Fs8HHKgtVynRhN2amlNDmd3jPRkf5u3y8qguLhOTmIX7cOMXl5M0pte+aZAhw/0Wy17gol6+bhhzco67p2hiacYDHkD2+/jXQWRJxHcEzfk1K+GnvgAfz61792p8v/z7zG64pzBLy8sQC8/J+5yT5JJ+oJ4CUnuxBxP/8ZK6saMllMHg0mkyxZwJp+bNsXGYuZQ93lMLXH+3/5Sww025vWyntCuWlYd//9MxpEHfXvGCevwz//OSmDldxkDCvu8t0EQ4aWbEZbzBqHPhfC0onvPITho7vgNdgPr2FW7vmnaO19wyIwGpmGgR6LZCSLD5Zzl82NeC64I7mY7p5Qy4THyU5Nlos0SS4Sirss6qSCJpOwO7Rj82cIk0WkF17BofCibGjEPwKD2jAMaCQGmFU056Qct2/dmEtYdQqhXp6MJnOT20D6NIjgUbg2EFvG1iEtyQS+eGox9ijlRvn0npAqpGW78aIEnL8qetb30dtvl+ODXTWkAjuWVFx/XSarI4m8Ru6bSTvqzD//+RhOMvHA8npKvwmrJilpbuawjc16/JmgS8ukLt2kLx+hnMhAb5YBq8WkVGTzsoJQxlSl4UnJUEriIG6/ZSfvEWvvmfzT23C6KI03phoNrY79cIICVFgS0IEUFY1ZmY7k5zVMxg0rvNOYuJr7J5CrnPAkApdq91bUIWM6BLPCNh2gIgtDDUGKqJUrESEgDJkBnrwP3X5QXLzw1LPPomn/foXm7KoZaNDbTXPekJQUJZ7dfP5aUoVU/DE6SE0KIgNokAtjfUs7wWHGVrP6J+PiAMfy9h/+CCeYnuSqBfYMYktJG4qr9ahpprGoi02BxE1fsiacFXFKdfjsi1THNI7RwpR/Svu4gRepeNduT0AtU9jEb2hRIuPLAzlG8uGL5cPwLXqp1BFg+ehYG06TzWB5juL/MtxYg7DTr6G3rcdhdw1vvgH5pNtP18K9DVhuOIxwYz18GkswSsq+pNYIQ9TsdRa9di38yWByBMbJPZ1+7bVYtG3bnAFaV9f8/8Lv3zvciLcPtsBAyUpaQiXW5O6i14v12Hfo5D1o6tBNsVtWM0L9jsuTCF4Df3oqH1X1Ar5waTSkx1Xlr2LUIuFIEmCEYbhr+TU41M+0L4YIBLFIUMoEHnealnKIbRvpMWccmzaly9PAi0icl9PXZu/RdjsAIIEpZt0cR2yTjMRU+0f3r0BkxGy3rM57pIXMkCffrERls+t4bvNRgsjKDNz3LDRjA8jgsy7pmNLkGdr0wx8ihL5Ztu3Q8SY8IwbDLozogzl+fOPepQQNPHuuZlPeikqTKe/J/A6FRT2TtZ8795U7rxnmTd3Afpf1TniYn5JUJ/KcKEM1EiuZtFdWguHuninG5qi/DvrIJHTQD8wZaBVGRnyApHJyXWtui5KCKMEMcL4+5Pjsw/EwmvN48ubNCKHX4GzWkk0E0B/5g72f3333LsPSpVHKurH4tdfwgx//GKkshsz2yi4AL47vLq/L/+nObefx10y8dbXHj+mpAy4wXjzVk5/A43z1q1/FE0EJCEhKmdW3M9TVILmjFpt/+xvTxOUEaLE8+JfGRpBNdoUMkKeeew4NH37o2KiEx1r/ve8hIjl5Vt/N8k0tp06hmIj1BGn80mQSk0l20Ve/g/oeFcqreihRons5wRW1vo2mX23Q9DTAq5ypEk0timRI0QFPNt2qTehqdQa6gBXdEdL6WUV2o5o/3ckFK0lCaocyKGHfSBVCw4qN/OkIiFGRemTyZ6FZZlQivEJjYdQwilYbhSEvX4XNMh8eMaqAUSRczo2gl/MKnm8zzTQrY+j2H4x0Jp1IHGYoI1znsgGurCOjg0a73f3Wm3QT6yWHrJfZe8v8+tcHUcnKvjPKr7/fUbzxxk5O0rOrco2ODiEhcQUyMqyd1lfTKPGuu5bPaTPV0zuIR/6aj9pG8RmYYEoLAZdWAi6UFDkC2nIJulTVi9zobD/evKOSfj5MA7OgqEyMBuCNd2+EYcwf1U328cLCfItlYk4MF09aSiVkfFhCOVonK0jazlqMN1bTYJqgD2V5jppYCkUt4nPk6x4aqBsjXVxlzfhwNXjIOOBLYCKKTIHwrCxE8mcu96Crz5vJ7+VaFbzwAhr27cP4sGNQy3w8oad3UVJkpGluGAHrQMpNzOBLMP/d2NpqldAg7/NhB4s5r6HSZMBr9ocROVL38nU4cPk1KKaPhSzupxsngrsHsYGGu+X1ev7Qg8fFuJdFL5fLmdIyTP8VAeo7uyhV4me2MhVG2scNvAzmhaE8LRQxCUH0HDpbZRX56mX1XaimpKKMz4PDGGq+JqXyDbTnkznEcV+ASstx3zspA8XxF08rxcrUtCC78yDUQwYEDrdBX1M3dZuYvV1C46OQtGE9Jhx4uwiTK4fM0BiCiAvNcz1wkBvcl3bVo58g4Y5tr8BbXWM1/jW0rCQjcBv6jGdv+GX0qLj7CmG+qCg7ykd5jUHZTG5oOoAkJr+M662Bld7QGBzefhvKqvoEu+ZaY1Tx03Kn+RIwFNmRkG2d+dp5Gni5dFs8DpyUFDV7IFxJMqoZsHv+L6UJ8VUXL5rTHOaoP8rrehkXXY2WbtceU5bvT67dBf+ak0iND7TaqMfTS3Ap2WK2HjTl1d34M33XJFVquiaFpa98NgeZ6TQjm8cm47RE1ZfQRFj8YApoyttv4wk3jx+vHNrIz69pMSjFuiz/NkQP1sCnqwGBlBh76QV0sb4/BuIz0DnioyTEOQNf4smoESmq5VpbZG0JsdbXyYtAiPi3xJHdkrxpEwItCg2zPe9HHjmCsvJuqyTJxemh+MpXVnCNbTKbv++669D76qssIJqAupm2ERaA0ylj+8lPfjLTt/6vfr3XZa+ek/ObePuac/K57nzoAvDiTi/9i75GGC+//8rX4RXr2HXd1WlNkKmS8/9+jU3/9d+uXgoZqoTpkilsC64mW4uKcOLRR6ccw20PkH7VVci47LJZIdiWx5LFcz4/p4tI9VTjZiv6vPOQdPHF6CVFv7e+Hl000Goqq0VfVz+6uwysxhI8KS2y83bRRsdgLCIVAzZ6VWG5yGd1dQ9RY+xedd5Zp/nS/yacLBdvglPu6LjlOKLH9WU0aaBOC3UgqwQR8TD6RaFXFQoD0xOExvlxUlQDUwcQtLbn/7P3HeBxVOfa76qvtOq9S+5V7t24UmxswIaQ0BNMCT2QkOSmkt5vINyQBPIHQgklFCc0gwGDe29ykSVZvfdV35V2tf/7jbT2Vu1IWrmAzn30JLmenXJm5sw57/cWtPW4r0QFHExGS2kvACTRhmnJoZg4PpJRs2EEZOgXwpnoQBfBf38jR/FesDVIlP65aVUaFlGrLNWLwbQK0n3/9rcDqHWTZLB719+pyR5P9HGQ9RALo2qn5GH+gjvPnJ4suh791myMGTP4VB6Ruj394jGcyJNobNLbCbiIh4vLRSSPPGlsKKv79K2wMZuOie7BPXd8wN/Ya9uLihbhaO505BTb32PxqkhMCGbVL0RhalkBgHFpQShkvKeJUb1ybVpzG3T1pxFCkNNcVapEH3f3gTABnOskjiLoEqgOdAk1hyCKz/pQpEMCwvhTohHLqMlYLmLl73zLkc6AL8J86cfXQx4aYb3oCaKIrCiSUiodvUDk/ZGqYCDH+PbTIpewb6FM7jAyMlMo4Y5N853vYhPNx2vpYSL+MHomBHXwGbLKkrjOYCoFxypSxTNI959A0+Z8Vg+LKgzK/ZUqaAiBFRnDWglK9HAB6s9tJUZ54dQY7D2wg1V+HZKTJyhRvKeLexkF5xJ40VDi0XQt+yolQvHOkmbiy1HfRMZJSStSd1cyocU9khRdfxx+R7fA2Bel2kkJSQf7QlgxkqZRN/dmFDa7liGKHG9FCCVFxQdhpCGvjtVyQz4lKUKZcGgRsxdAx/cqPprju807FTVlCibfdBN04ucz0rzeAwdO1uM1JuSkJx/C5NF7yXo5C4r0UIq3++D9qGqkTNfmEZmUEYoNa1I5dvjjuddOEJxpRkBnG64pfBfmYmcPoOwl16EkMpOL0h7ERPiRKdtBWUmj4gnnidEQxGdi5cIEskzIfHExVHoTeJFP5yWUDG3fX+80l0hL1qKOAGynA/4u/mS/eHQWopiC6M22j/4nr33cC4oNpIWR7TIxfyNig+wDADRkbywm2yU8gbF5Nq2OzI6n/nmUEsP+gW/5yS3rM3HJPNfeMAM5x4FsK3POdibZnThZi0Nky57Koz+RCmP7gRzDcVuZawb7GKBtykdb3lG0VtHrh+ifmOVH+BsR310Li3yrFOeBXsa7WReB1qhUSsElOtu1XF7mvYnRvXJ625bC70UaQTLxe9TGxiKZzL80GuYGEXzxVjt6tBqvvnZc8XqxbcI2TmFxUOYBeXl5OMWi0VDaBBZ2xrEQMtLO9oDmio3npTssH64/L8dVc9AR4EVNL12k25wr4CWQY++9ZLqM7QNdxBNl5xNPoNUF/V26UsyxFhEZDuDEdahNQJWjNMcSur5UhU2sHEt0q5ZMmh4uUCRtyNHE0sxZVM3JHLRU1cBEEKWLqL4YrVr4YQmdsZBsF3vKsRggSoxrCz8qA5sGOF+dJBFIlLYnHbH80iob8qEO1SeeVTZdPL1ZomHgf7J0wI+FDxMZGDnNxY6xy4z6uk6001fD3aJ7qH3t+PvYS+iBk0RvDxvJke02FgNNI/dmoK7GGagSenIGqaZCN81kalJyYijBqOBerx358rtp7lgvkezXH905kV6jg2e9bNx4iilHpU4eLHIqwwG8TGW84z33zBw0WCSL9mepX96ys0oBXGRx299EfsJoHaoZE613kFRds7oUU6YwQpqSC2vzo//P3sO3Y/PusxOVYK0vkshwiY3ROgEWGUkBqCd7wtVEWQFhaNgb2lQCrb4MFkboxie202NIHe0+uEeLGEQNGaS1faSsVbU4gjAiR4qbPNnjs+ft98d2f9nCfBHwpY+15+pYIoNspAlgOz1dpIVzjAsn/VremTACMSIr6mqyNwn14YJDx39rkSQlh5bIimLxl7+C7WRxGfsSk2QcaaacoJmyJE2HCaPIZBrDqNtEmn6GE+QLJEBZSR8CiY4W6WlMRKACRPeOjUycIwiTwOcjjZPptzd9hJjIcKSlTlT8Uo6c6AV/zhXwEh8ThOjrRyM3LgwWjikCmtQ2dKKm0agA1ZdzMdPmgsll7aaAHgMSjryOljL7xbRcp8imOscvxCHLZCfvG12wBlMTmeCh34/Wkyf4TTIhIDgQQc0lZCY5p+cFxifCEjdaib0VhmNqEun1sTqMWrsG49as8TqTYDif44tx39mnG7nIz8XKeW+iR2N/rwtLF9PTZD7aHQCAMazUf/3qNMpYAvD86yfpB6PHzLI9yCxmsmKLPaOlPTQS+9bciXp973cwmabj5m7GDOfTm66xU2GEyXzAHZNMfICWk/kiDEVH5os3gZelCxJwnMleDXpnhsnYTC3yS5xZj2sp4btyRYZXn9F3t5fiowN1bhN23D1jItFejb2wECxwBOhTly/H1C9/2e4bYuR48NTzR1UlGAn4df1V44YE/A/13ZD5bRMB4+zjNJYVrhYAACAASURBVOU9XIsSMhC9acornn26rmqENJ1GV0kuk7pY4OL3oJ39JEwWa0tHDXzaW+DDcVDmoD7iU8j/M6ZNQGOXD+X+EjpBqZ0LWWoEfa1CaWpuLRKKaXxQWAgy5mRh2ZeWI4WyIt9BFs889e/vfrcTZeVtZ+TVsv2ihUm44YaJXlmLeDr+F/XfNZe9dV4u3fLRtefluGoOOgK8qOmli3SbcwG8yDL3AVMXMrRBZz5KOe+9h8L333drHDn7m99EwniyBwbRrHR5AVhaKiqQS2pgze7d6Kyvh8S1ysIlgEh5FBdS7hbwrawANx4/TuyidyJkpT76xyUiIHkUGqr1aGH1l1CM4k3QwEqPrTHYIE5bMaIVLxcfZm27Yrlo+AHz7zPB9YmIgYX+LEbFBJdAC//kI+ZuYiY4hXyrtNSRxxKIkWO18vz1zVwg8SPoqao2mOtRfkNfjvS1ejT62wNVtvvzrQ5Fz+E4Lsz6SXwSfxiec2xUEDIZW52eFs6EnWhW0bQuF8PP0OvlGL0YHFkvt12ZjvnTYgc9CZRJhqQclZWTPu4waRgO4OUbD9Eoc5J9BU7tvZBJ2DMvHMFrbxfTkM/gUfY2JkOHJi6mG6jDtm3BWh88eM9mTp7OpoFJDctoXIC/vZqlVFpDacgqWuwYyjRcyQ1TE/xppEvWQz/MAesx/Ym1rrmmBYb6fHSfqkR7TiG6mdojCxFXLagnEHGEXQaj7Vbbl1YQRhJlxJhX5EiKT5KKNCa1x1Cz3bHXXkM5xzJzp3NSlPX3HRy79AS0u/sMWEMZoxlBAEZkRVr6v7ST2efYwoT1wu2Ntc6L/rkEwN8hcybbl8w0m+uVMTGO499oVlcb9h/DZ69vUsafsFAd7r/hekqO6vDKm28RRNYSPE2jrK0O991+C5NQDuGTrVvJaItXxs650yZi8vipNCNtwT4meEgbbuBFLuOaS1ORPjcBz3FwrCHIUkkWWD09E6ysgdH1bcjMaeo3ljapcjeMR3fB7MJQ1z+a3lkrbsdpsn/KScmXlLCIEF+MTQlGpqYGASe3oq38rLdZdKQfWk4cOfPNOXOPBDSbuxSNFWfZZn6UxsVccS0WrJqDGVN6PQhG2vD2QH5ZC46cfokpLwf43T/7/nWZArGXrJdqvbOXXXKsFg9em46I8BAyX47jxOEKrGHCUU9hmdPJnlywFoVxE8+AdMlxnC+BxqrVIl9jyg09seoICoqczRWzRViGyxk1Ld9z2+Yt4GXhsnuwYG489h5lmIDDty+Dz3QNASJHtouYAD9G4/mI8MEZ2zt2koC+klwkkd+0xxlQiySb7KYZQMW/n3diWcv4vvjHP0Y4xznb9sLrx7HzoDMT0PHAs2isfMeNkwc9rxjQhajcWL7/Ysp77HgdDtCUt7be4FaO5mmX2kALwtpK4Fd1Et1VZXYBFfLbLjFrJ9BsTe0MtXQg3lzHxM9eIE6YMMJ8skRwrhrTy3qRBDCZl3a5YIcncY4qc11/uupryIbUR45Fu0845nDudtP60TTnH3qQgatr3ratBO+9nw+93n4O9OtfLUZkpO6cf+893ZfPy79rVp4n4OWTEeDl8/IMXVTXMdzAi3xuHzJ3IZWMDOsiRc9q7G66epvdJDOk0RxwMrWUjjpbdx1rNR3rYDW3mftup/yppaQEetLqu7hgqz3AiZKDP0IEF0/BpGa7WjhJQkgNq79djfayCtk2lefmw30JvbOD1d3c002skBoVkzz5gFhjIgf6EAjLRZJ/bCdUvkzREH8W3+AQaGKTYQ5l2hABlk4tTXCZSOLJxLK/cxDvDZmrh+t8Ec2KtNB0mvU012wjTV4FvXkg16dN7EbkUhp4sjrsrvkfpc9EUZBqiqwiYyAQkxgffEaaNDozitVgiVz1QQEnyX9/Kw96Bx16LKMRhfVi1ewO5Dqs2+bnN+K55w5xImz/cfY28CJxnd94aM6ADXtlwpXNpJmX3jyFD7fSn0iF0VBGKiOHpdrfl0hk2y8rl1Ri/jx6jFjOAh8xMSGs4l5HM91QxMdpFQDMHfCREuOPNi5sBXhR0665hZOy5D6TUv7Eh5VkU241unMq0J6dZwfCBPb4I5agi5/PuVt4yiTdL5ReIBJRTZlHDAHicylHyib4UrFnj1uJpoDFTRwDbdmEOvq4RGZmIpzMFiPHxK46+7hykVjpaDAsUiRJVLJtYlw48fYN+CdnyrlMsjDbsM1EoDqDY8kr338C9379y0hPT8Jn2w5i6qg0PPuPjZg2eQKWLJiJP/39ZZg5Of/ug1/Fhod/hl98/0EkxUbi0Z89wX+fjayJWSgtb8FOmtdKG07gZTz9pL68JpO+Qzr8ibLSD5rNlEgQcLFZr/pyQLw0uxqtte5NjXVdDQjf+2+0N9IbzEXTrr4RVQG9/mQJUf5IIrBSw+Q1zaldsJw6CEPLWTZXMI18fesK0NngHFOrTRuFrpB43rfe7QPGTkHHxOVo7uplg45OD8HqZamYNC5G9TdTzXs4so1zDxRXFaOmmUxdQ43dP54quAKny6Zy8ek8xiWwWPDglzIRFhKkyI78tmxGZtFh9DgY8xu0Ouy7+h7u/+w+hPmiIVu0vLp37JW5TjuBl6bmTgVM7+jsk/31nY0Y8V++hD5uBF+sjFlvAS/3PfB9mq23kq3gfI2j0rX0BHP+vl9NcHM12S7eAMXraeL9rw8Kcaq0w2MRwfHOZSYE4fa1mSj9z6uoYYqmY0u/9FJMvu46u/Pc9EkB3v20UgGH+2uj+O184GtTyaTt9QG50Fpvip0JYsp7lH4wRyhHauY8z9O8QICSEMqJwtsoXS04wvlwk5Ps3vZaBXwxCPuFALO0TFTD0tZCINn+eelImUD2pD86KCei2EtJQLUFX4LDdQiIT0Iik4mqA2j+3mP/bZ86IQq3f2UM+9s7YJ7dNfD8f/Xr7UywJMPMBlxcv24sVq5MH/Bc7EJ7Fi7U89Esf/O8nJrl0+vOy3HVHHSE8aKmly7SbYYTeJFp4cOUF6UTubYFOPb85S+oP3rUZY8FMWlkASusIeHhbntUQA8j05CaCa4Io6WNf+LT0kX5kJL+YYNeNAvtnn+2Zl2+rPxKmolbtgv305Cd7eQmqWPVNp6V7m4eu4IT6NLK3mjI3glR76RIPiCSZiQGi2I65gmIUVguBANk4eNLyr9IhzRRCfAhm8UQHAUDk4YMAeHcJy9LxQJ6sI8hD0/DMCCek0QdwRihvotXjcgFZBI31BY1qxU+Y5phtJGq2O7TQiPC4H0ZqK0Y3LEUfxv25ST6w4wZRekCvWI+YRyoeL3wdtg9f3dcnYFZk4e2SPn3v09gD1Mv2m18ULwNvNx/33RMnZqgqsoiz15HhxEHDldjx54qsgeacOiEXlWFKyVRS88Vy5m0I9v7EkSN4AN3byO7o+TM/1siJUvKJ2D/8SvJgukFuty1OPoVgPelVq+mPGnB2htNMKc0QSPO0Q5NIzG/jO015VSh+3gZDIdOI8oYAl81ux7qA+zm9+ILoKWxn4wncWTDSKqCWsB4sKck9/rEW2+hjLIjM8ciV62T4IpexkSyX6wthN4FAhKF8c+VrCiUrJhugsoGFwlz8zkmB6Vn4J8saZ9iZHhPH/MlmTufxnuV+/42bNn4MVasnIely+YgLSkOD9z/Czz2zTtY7Y7Alh2HsO9gNr7z4K245f7H8PQfHkMAef9Pv7iRTKkYJCRNpK+5AXsPsUrKCe9wAC8ie1p/RSrmzUggYNiBtxgT/196YunNzs/aZBqnx51iMhsBQ3ctvfB9NB/jd8JFCxwzEa0z1lEyosXy2XHIGsexnIWBgy/+Cye2HkRNNWNv+/At+TZGhVG+deK4055EBqadvhjNVQ3KO+G34Eo0x05SvEBsm9yOKePDceXyNGSkRnhloTvY5/Pz/rs6/fMoqt1KQ92zrJdOYxj2HLob9S2un5eosAAFfIng4vyFFw9i3Ecvo+f02THV2md5c65AfnIWix9n728KvbI4sTkDvli3lXGgtc1IaYkBNZQQWws/wnxZQUmQkWOl8i5t+xuOFUwlgj1IP4yeFmSNPoYN93yXBsAdThLozFStIk91BJ10fN9+/PB0hFMmMtRWUNaMf31YjIoGz+lujseaMz4MN15Opl95MQ7+9a8u2S5LfvIThNI7xNr2H63Ci2/me0wwigr3xyN3TaUh9yB93YbaMQP8vTJ3pinuiRwCMNl1jKhutJMIye4CyIrW0QdH25BLP6IcAsTqjJ7lt+KN1Unwoo0S1HB6IcWY6AXUae//ZgiJRnMwuZJEXFo5vxRfF20IwzZ0TAdLHo9S3zRU9UQilTLQiQS1XBkaj80Mx9dvGc+ETO+DL++8k4etZL7YJliGhwXi5z9fpMiNzjXLdYC3+KLcXLP0jfNy3patXzovx1Vz0BHgRU0vXaTbDBfwEsSJ4H2UBowJtvfTKOZi4SSTjNwldMy4914kTZt2ZnCTyYViHkYKvL4PaGlhckcbkzsswjwRoMWNvkYqt7VMM3Kk5YcxQlVHo0mXbBfuq5amv0ZHtgsXl8J2aatvRhGTc4QZ4q71nk5vxLMwYQSA6QVkzgIxfjRHjKHxqC42Cj3RKczNTiDAEgmDNpZ+KH79yobOxaMmWmgfH3oxxAayUsfz4SSuUd9FGjMZMTZJN6rPhXrelDVNaA1pZbXK9eTUp4myoX3JlD8NLKHA1TkIFtDN4zSw3ztZLAzhh118cySWNSkuGN+/XVgvg/cPMpJW+8c/ih5YUoF6r8ebwEtGeigefXSexwqLvB+1dW3Ys78Cu/ZV0/zUxKpTN/0EmlRJ3+Jjg9gPGoKIrtlI82fX49IVWwn6dSpmqclJwegy++B4zi3IK7WnZTveh6hwiZjUkIKvDkxb8xV6gKSS6dLrb9pvCzQFYFbHFBjzy1F34gQa+KdIaxzYGp72481/FxAmVMDZWbMQTxBGSznIcEpATlJCWbp9O0wumIPyXDQzxaiZ8dK2TcCXtJUrad5KA3D+u22T8TCErJcOjq+O47OAStPvugvd1IE9SwPknD7vLQldncJ3LVliPRv02L/rMN54/UP8+hcP4Ze//Qf+8NP7EcVK/uath7Bz/xH8D4GXG+99DP94/CeknwN/fX4jvZtiERc/gd4RNIWkwaxIJXZ+/Bccq6AuwNc9AN/vvTM3Iyv5MOavuE/ZbMbkKFy3Oo3JW53YfawBp6njL1mUiCKCSI4tiAP3UgKYrf0kpUS0FCBw37tKIpdj82U07cQHvoV5C8ZiVJ8pY+Xhw8jbuBGGPimXvsWAsopW+oKZlChWSzXZmc3OcszgsfSHQQhTvch8uGQ9GixRLhPurOcgAPqSOfG4bEnqmYQ4bz7jI/viENPDRZnhGRRUklUrwHvf5+zYqfV8vka7BetCtH4EX0YhNjwQW372LEIPEDhtsL/nxkAt9q2/j2OmfU+nEMCjLtsJfJGtehm/FtRTilRb16FIkfz5ICyZF0eWmQVbP/nrkIGXhVmn+C7d45LtkknD9KJyZwP9ay5LxarlQ2e7HMlrwCubpa/VfUdse27twlisXpDCcdgX7gp+GQxYmMQYdmsBoaBIj6doRu8o2XJ6zznuPUrQZRSZthdjk3l1M5lT4gdziBLP6qpmBDUVw6ec31LKiawm9wO9NiniGFi4k5QlYb2YW/mM28z5hOXSkjAOLUYmchKUawtNRnPMGLSGZxBY6zVfVyx5+X1YNDkCWt47V2bBo+j9d+9tExDmBWDP9hqbKb//7e+2o8EB5Lv7rmmYNm1E1jnQ50HN9ppLXlezmde3sWy/3uv79NYOR4AXb/XkBbif4QBeZKos6UUiL7Jtnay+7vzDH85MPh27QxYsMzZsUP7frQRWmlix1XMR0Cx+BfytgCyWASys2kRyxN9afVpkvz6UCcTyOH5uTHtbhe3igo0TksZqcGgiigvqB8w8kW+OTMZ9ecyeIMqGGOscPToDzf4xaO4J50dKaMEX4MNhc0oiSwqi2a140GiJqonhcCMNKAWEcay+uruSgEgTYi9rQIuNPt5xW//TMeg8GaZ6n556rZqGx6VMIRL/HQFjQmncFkFp1f001Lx0UYoCbAyWBn34cBVeI/Olqc8TxZvAy113TsHMmcluz00mTeUVzfhsRxkOZtczrah3UmruMZPp0khjT8+T1MgIfy7OAlBI6rarJhHl99x+ABFRpxDM6qWkFLXxOK2tmdi27zqaSbo/RniwD0KZFlPeoO7BvvJ6MzTpjayCebqjYhvkj7mmGYgJ6E1xUaI16XkiAEwtmWoCwkj6z0DGCs9HHdgWAsJEkVkSQxA5npTpQEqThkOOlP/BByj4+GOYyHBxbAYCMjKGdjHpyLYFk6GTzsS4DomQdjB3CqEfjNzVzj5zXtvfzXv0UY5bo9HGGfFz7QbkcjyTOzCe79Xxl97BrddfgQhtIJ75y6uYMmkUtu04jCXL52Ltwhn42W+f41hhxI++tQFfvusH+OPPvkWJYxge+MHvsXzRPIRFjUH2qSb6KdTistmRePet//MK8LLm2kewhuaeBrIgtx9uRC3fVWEOGpjclZsRgXayqBzb7PJmhNAfyp2UM4CSu/ijb6C15Gzks+xDFgpxUQFY+NXrMfO6q8+YMQo7qYIAmdlFDHQ1fTGaK6vQlJfvVD/wY9qT/4TZBOOjYZx2BZqM6qUMOppTXsEI3+ULZdHZG+M+0rzXA+3Gf5D1dYz+PY1opFeafOObW5OwP/tmNLmIWbY9sjBfMiP9kfOtn6Alu0BJ+rJtp2esQF7GLIVtatsS6fnipzGjrMp9uo7Cgmk10qerU/FwWzw7Bps3/YXMz6ExXpbMysPkOXc7zX1GpQfTG6mT3xv7vhWT9Z9+cyb9nobGSPh4XyXe21XVr8+Sq7sq8pUNa1Iwc0Kc8g0V6fihp592KsLJOK2wXTgmSquta6eZbjYZPJ4TjO66cQxmTxPO38XblOeFAHzp3r3I37INVYVVDDpoY6Sy2a1foJqrleJaJ8EX37YmRFGSabJ9QGQsSh2D+jHLUB2SgdyWYFSxvyWgIpaJRiLhDqI3kADSkth15dwYFpRcn09qkg4PsogWFtbrLeet9tJL2Th4qJos4rPzFwl4eOSRWUOSqXvr/D5v+9EsPk/Ay44R4OXz9ixdFNfjbeAlkuWfB7n4S6C8yLEdpTdB2aef2qPfHKAVVgv/Jt54IzoFcGFkm1DkFTbLIF1fZZ91XIR1E0ixbSGUAoSxKu1qsa14u5DtYpv6IfvpFonDuDmoLnXW37u6yfIBEMmQ+LP4hITCJy6NsqEYJg4lcPIyBmsuzeCEJIgVASMKSXc/XdSMk4z6baSxowAEnrS3F8KD5edrIQDDxBJOIEM4yTLQ76ZJGDGcLFpBAFfnGTm1A/6TmtBpcU8Z1h5IR32xj1f6oZMAUTkNYx0nUhFk8VyzMAYZ6REYPzqC6UnhCitGFscDAWKeeeYgck41KB9obwEv69Y9hB/+cKFLtosALpVVLfh0exn2U6stdHJr45ODwycbWanzDHboCIykJocgp8A9jXj29HZ85bpP4R9gJEATyCpvrwlzTt61OFGQ7nZiFqLlBIoAXXE//hi2z8bl1/TAf6yALp49YDQ9GsztnoGEQNdsG3lfBeCtJnhad+yYAtpeECDMpEmIpyeMpCMFEYSRZ8xbE8XCLVuQt2kTTA5jnfRxszAFOZ463iwBhCIIonQ7eL3Ib0IZdSnyTMf0pAga8M595BEFUGgkePE0jRNb+d/TON+t+HAHjrzzGSfLgUpq2He/fzeqK2vwx9/8P8TRy2XCqFRUVzfikXtuxTsf78HGdzcjIS6KgF4IRmdmICV1MvJLm7GP9PcoGjWf3vMMdp+eNiTGy9q5ubj93u9hf04LF8NnJ+4aMrxKFieiXOPsCxROtth8poG09mP0nVi9D12HCaT0GeoKoBtHuWiyeB1lpOISyrICg4PRSdZkNtmden5TlG+Zi9ZJo/fa7GNoa2pVPMNEJWt9C0KnzIJx3EI0JM21k54MZPxP4jkJADMrK84je24g+/2ib2syH4Ox51VKLVvI/GumKXMv+HLw2M0oq0nwaPy6YU06JhbuQ9Hzb6GhqM5ummOifHPvdQ+hssV5IdnLfBHZkWfJjcKEYaGq5ORz2L63C4EE8AbTjIYGSng57i653+7n8tynJXOcr3AGKdZdnorLl6YPSXb5xidF2HqEKWwDJMBG0UT37msykJEUroyx0g/CdlHk4w4t44orMGndOmU87qRfzl9oRp9X5DlJb52weVZkem0MH8x9GcpvxPOljmBUGQGXeoZI9NiYtfcyYQyczxkUHyGRzbshKfd7CjKPNfI40a2l/Da1wZfz4YAo+rFFJ3LuS9Zs1leQU2qmobGW7LFORcImLEhJ4RTfRDmmyMfTCDgumhrJuaW9ZNx68GSmKD5A8CUygkVNL4EvZfQI/NvT+1HvAMAFBe7D++9/RDB7cGxpE0NGvvGNG/DAAw8M5fZ97n6rWfzv83JNlh1fPi/HVXPQEcaLml66SLfxJvASwZHyfhrBJbsAXao5+ZSKg4lVPzG87eJ/mjjYi1+KSAQS589XYhcl2tkbTYx29UzvsI2JlkE5ZvZsBDgwcazHa2VluIGLNWuTD5DQdhGXrkiAjG2umQE+pEIKyCIu7KA3C8JjFV8Wa9qQmHTFRAZg/eoMzKBnh+PC3iqnqqhqpYypGQXFzTiRr1diAAWIGcxHzxt9qHofPEFhxOiC/Zn44I9gxp22t3WhiRU38Yexp4lakHSFHh3hTKlRauvOzafTH7670tCoki3h6TxrOrpRUmtw0msvnBCKYEq+BLzw86NxMiNax44OxyhWNtIpEQijrlfuVX9ATB2p3X96cg9pqV3YueMZHDvBJC7NIPXellZkTcnDE0/8DkuXZtodV57FwuJG7N5XhX30rnFM0LIwOvxYbiNN8zyDLlJFGpMZguOMKnXVIsL8aTwajBuuO4bIqAPU6AegjdKqHoIeRmMMPtt9C/0NXFeXRL0laRyFNere46UrLdBNq4fFWfHhdGo+Fh/M7MpCcqBYunpuSjWvuhpVlHkICNPByp6FC12JXD5fTcMxLoZparF9EdVagjCuUqAGen5lNNs9SSlLtwO7RcbZRrIGjRwP7Rr7JnHZMvjxuXJ06Ali9VdDH6zOMufklVmcMMb3pcGVUc//MlksQbzpCRxb4yR5jAeRdZKWk+a6vCLo+P5kjUvHG29/qkQhr162HBVM1xA2lZZG2O18N9sMJhpztnHxakQNJ/py345++iQOl0YiSBc30K5Qtje01WJSQiPmrXrY6fftU8JxKiEMRtLZHdviQvZTMc073fhpiaFu2L430NHQpDDoEqKDkEi5npZeMXIfZz70EBIJsjXQpPj4K6+gk/5jbht3UMvtOvq2kWMK+NLOBWBATBwCvvJNFHcnDclE3XrsDIKslxOAmTYpdljlb4O6WRfljywcE/9E5mwx73sPE7xayKYyorJmAplba9Gswkj8liWxyPr4BZTuOE6mRSeZuWc7onDqJcgdO1+J3XVsSTTc9RXmS6VnVob8dtenf8HxsulDAjGzUo9g/vJe2Z61jckIIQDUQcau/RmGETj90TdmDJrt0kV59itMLtpLwNTW8FrNYzIqSUumSwaB/7O+MlUEXI48+6wT28WX80BJMgplyIK0//evbBw43uRxvjV/Rgy+ev3EARVo1Jz7cG8j46qBc+9yhk1UMBlPQij6m2/3StgIwrQYyW7uVDz/BIQZSJMxTednQCjH+i5zED3xCMb0mYrXZM5HfuQ0xefFn+ESRVW9cmcrc7Be2Il9bLCx8fxuch4SQOZ4ZASZX5SM287L4mK0+MYdk2jyH+K1+/LUU/uQl99kV0j0RnHt4YcMeJzhIiPtbA9oFp0n4GXnCPAy8hyehx7wFvBy4+9/j7t7TIhixKq1yWKxmxN/heb5j3+gkRIAMcCV8o4i/+lDFEKYuJHAhYjZBV1+sF1Sz2MaGR9t27RxcYigh4GrhbSJ51Mr58eFS69JrpnxxoyL1vgiePoC6G1E136cZItsyIdJQ5rIeJhDotAZSPNESRsSLxebdZ0/F/Qr6CUg1R8dkyvUNOk3+csvbMLpYj2lIK1M/GhXopFl/xc8EMOareh0QyhJEuNgWehLNUlPRkyrRGEGmpC0ugl6jfvKkl9lOIwHowfnJ+PQye28l5UEgaoJjti2cNLxl3IR1qR3LqnJfZOP+aiMUEZXhxKUCaO/SRgreM5AzHvv5WPb9hJsep++FEMEXmZOz8enn75I0KfXG0mM8I4yoWj3/mrkFTQ7xXjKNiIvyuG/NbHq6qnJYnHqhDAcPWUvTZElaAwrTQmMhA4LZTxzdAdWrniTz6wB7ZxsWbGK00VXIjt3vMsJsYBXo1OCkOuiAurqvOYv5POxoB49fuomczOMU5AWmOrpEl3+u7zTjVzkVnMSrowNBCLE58RlLuugjjDwHwkIEy2pSALEkAmjjYgYUoVYWD5HX37ZCXxpIatFWC+2kks522D6vYQkJ9P7WGLq7WWhYsDbQbmRycG8V9KR5n/3u2S29G5/kklH/xGwnN4vOv5vUYoJY0Ox8SyuxOu/f5bAjJ8SvX3b9+7CWLJMdmyvYJyomWbePor3VSeBF30bI3P53yUVQ9ruTX/CsZaF3G/EwDtWftGtR1bYbsxf/ZDd7zWc4OcviEdtj7MhdGKbAVOP1qGtn8jz9KJNaDtxlIBLIBIZnS7XZq2yJs6bh2m33YaSbdtQ8O67bo2PrSfUwb6tJyDoyIbRaBnLvuFR7GlM4nip7t1Q20mj0kKwiglIU8YPzVxc7fE+z9t1mXeTDfs2F4G937FCevZUETjceeAe/meIKtDg9pACTC7ci8KjZZQHGc8wX8zCell/LyrbWYxyQQQUdpWvj4neBLqicQAAIABJREFUXJ7Bl90EXo55GXiR70hKUqDL43/pynSsXOyaVezpeWilNPiF9wuQXeiZdeK4rzkTwnHjZWkICT47z5Jxf9f//R+aOLdzbBmrV2PyNdco7+9/P8jH5h1VLr+vtr8by/nA/V+dwjjjwTEePF3/cPy79EEDmZ8VBFyqDx7sZYEPcBJpBWGa9ARgGsmEoczcUSJne+4aPiCBlJL6Z06BPiQTo6p2Us5E5p/Ncc2+gchb/DUUVNDnimAd7enQ0DeHUeYjLFZK8U4Kl/K/Z6YHEaDsZcLEEPCO5l9kBH0Bef/kL5LeSd+4YzLnML3FjKG2o0dr8Mqrx85IyZXv0q6/D3mONwK8ON+ZEeDFRZ/wpfPMAR/qUz7y+/PSA94AXub83+PY9JvfIJSxOF2sKLeygifeLE00dtTTR6CNi5y6Q4ecYkrlgmWAzLzySvS4oMkPtkO6yKCRCa2jx0M0DSKDXKUl8RyaCdI0kZUjCL+wXDoZqSxhdyGZY2EKS4SZ1XbxZgHBFiMBls7geFYixTyXIImbt2N0mg5fvnoU0lMjh/QhUKKrWRkWNkwR3f1LysiMoTmklREz2H46V78j2VdhxAQF0FCYHghaMmLMsc3oSKf5Z7dUuF2fSdCRFDQV+nucDKm5jhre05JaGoryftk2hfXCBaCR0Yb9NX/624g/zPgx4Rg3RpKTIs9EKAuQ95vf7MC///04Dh8dNyTGy7XrarifvxOo6mZCURU+21nBiGej23SiLomJLKYvkd4z6KKhWXIWJ6fZua1n+lypLsVqaXCqU6RjVlByyYIjGD1mDwyc9FiBRJM5FFt3305PA9dGLBMytAroouZjkTXNBxkrmHgQoI59MsU4AaMDM9Xcao/byPskjIQ6vu/1/DMQmDBz3BqsrNHjAVVs4ENgQqKeY+kHI3KkUILEA5G8WQ9RT4Dl8Esv2RnndpFZ2ERjcrlOu8kx/0ck05jEzyWCiUa2TMAAgkB+/BOjXceWdccdSOLvrMbBu/iAvE3ZTUufUa2wXoT9kiosGP73YP53qWXW8cGo4cs+raAOmz8oJdji/kkZLuClbVY0TrAq6uqpuzS3Bh1lziah1utPN55GbP4WmgULBd7XbkyXpLx53/oWiui3Uy/fOhq/99dkFKo9dcrpnggYlnHZZVj07W/TfLcNm7cV41QBZUj9+CmpeLzsNhE6/3SaDV+5PJXvfdignrOBHvPzun2r4Xd8b8rPXF5RZSvlctORnbeYlXzPI6EfUx/vrXoHmcZ65NJEVs+FplVdXTx5AU6OX+zW5DWJ47afr2fwZTiAF2G7lFV3On03w3X+TDKaQcDePlRBzf0vJuP3pU2FKKvz/C1z3N/aBbG4kp5tjolyFWQ7Zj//vBPbRdLClvzsZ9AxRfPA0Wq8+FYefWr6v18CBDxyZxYX/UNPaVLTH0PdppvfNLn+SsZnyzxcJLfeaIr8nsUsvSJF4rdFfxYwFIm9fyxlwGlT0EL/lg6a4Mv8LrHuMEKLDqCuvNGOTVg1dinydRNY5DTRZycIJQRWrAxpK/jSzH8TUF7HAt7ExACU9zFjBI3R0gsmlgWymGgtwTD695Gl/PBdU5BI8GUw30/H/vk1o6UrmF4qc21pI8CLN54g531oFr42PDv2sFfLrq+cl+OqOeiI1EhNL12k2zxEavRGxniGyGA5iNZeV4uV7W14dP06JdK5ndR+mXRaKYyufFNsDxNHpouO1HZvfRRk3038yIhXjO1n1J+U/hgCL64G426W82uoc22pbqBhqAkWDUEWLiJ8w+lBcOVtqNXEwxAUrVC+rQNwf10VSLbHVZenYRmNDf0lo9nLrTc6uAvFpDcX0wiyiIyYgpJW5dzcGUJ6+RSGtDtZ7Pv5UXK0gqafCW1kFfUmPskH1yTSKuveDb4I3EO/l9qhV33bjCZUsqpe4+BUHxHC9IdJEarYIrYXHUAgJoXSpImMiR3DaEOZLN9994PYvWf0kICXu+5oxdXXPohde2sUz5/+IG8Tn9sCJmzVOjB53N2cyeN1XMQxhYlIoeJLwQmLAC5iYmf7XoTqurD+qrdg0jQp4KK1lZQtxeGcmXb/P+u/jWc1Ko/V197aVP9t9CgNJq5pQE+wOtBlnHE0JgSMHRJ46e6MBIRp5HhhBWE66Yki3iaO7BBP1+TNfxcQRtKRFDYM4+sj3XhSuTumgCyH/vlPZQy0tlZhvcjk20HKGcSFRxBZLG0EomLJvAmgN4m1hdHrpYPjuaN3TDCp+Qt++ENobbb9lMDLJgIwbRw3hUsiyy5hvehEfsQXmgEWEJxFwq1psYJZ+8qxe3cNZUauFzvDAbz0kKWSNzMWjQTRHduY+nZk5DQ6mXjKWJVAsPiSySEwbX6Rnji1Lrs9mbKtdkqzWllZVlNNbmOhQYoDZ1bZPFAEgTcdgZd5BF3i+N+t7TAZb59sL0UpFxyu0j0G++zJGLZ0XgLZCSmM/O6tHI+0gfWAwfQRv18fc8F/Nt2qqMKIjZvvINDvowqEnlRxGMtrDyAjqJtxzXolMdEKvuy69gFUGQLdYsLxfKaDyBgs6cdw19vAix8/HkmJ/nwencHFG67KxFKmCA100bsruxb/JRNOr0Iqa3uH5Dt22+UpmDfVGaiWsX3XE08oknPHNmrNGky86ipUMNb9yWezaYzcv5FMABf93ySbIjP9wk4wsprllu3fj2oCLgb6TA2nybz0cRdZipJQ1BmRiZqANOgDEsnUtR/XfVlgm1a5CfWnCpW0I5mDSOsOCEHugq/SJ4jCTyLCwXyeT5fbJ8VFE/Bq4zshY19qpB/COG41OhSaZOgKDw9gESmY3nWh+M69WXxGhaGswq2/n1d+y5YifPDhaXre9D4fI8DLwMZHtVtfKMDL9r3Z+NWTL6GOCY3TJo/Bb3/wdRaL3Scr7jt8Crc/8hu888KvMSpNnQRedZ+MMF7UdtXFt50wXoL4cVKo4YNoYl2bT6PGO0izdmr8KuqpI1XMHV00mfSnLFwIE80wvdVMBH3qiPI7VhwjuICRNA/HyaXQ/esrq1GRnYMu32DKHrQw+QXB7BOIgCnz0Ji22CMbwvbcM1JCcNP6MUhLiThnE1n5+BkMvYwYiSgVEKaIrBhJtrmQgRgfrRmpq+rR6NOmAAEBlKoEkg1D4ii66Cki524pC4fpcDRaBzghc/U8VYvXS40kHNkDOYsmhkFLzwlPrBd3z6h89EVatXfrX3HklBZB9AMaTDN01mHyuA7MXXSPx5+byMwqYXW1ssZ1DLTjDrJ4jbk0DZRo8wTGaSdSUiQVIleLrZVL8pCUuhUGG9SlxxKIHXvvRE2jM8V6fLoWp6vIynGREON4HkmJGsy+lpIpnbrqW2ZXOqb6Tzwn75JMWiUFSOLkxROmk54wijHvIA2+Pd5EFRsICBOSmIhYMkwSOM6qZcK0EHQ5+NxzikmuNBkXxetFrsmxRXG/bWKmS1moyJ4CQ3orun78zwAybzrYJ45t8i23II1jt+3EdpOxC59Qk98h9DYPjY8BMj46jYMnmtHpotI8HMBL86I4nNDaS6rkNP25CLg0u5qsx7OVdhmPMhODsWRmDGZPjkWORHfTGN7VIsbM5yaU98hIkEpNE8C0lnI3q4m7HwGsSIJcYrqcwO/odMqVHGPI5dncQbBqy44K1FGyqaYAoOZcZBtJQFq9PAWLZidyTFAnh1W778/7dhZLO9q6HkdAoD0gd/TkMry9LQN1zZ6LBj5mE6459gZim6owOi6ADMbmM+BL6fg5ODllOSVn7kHqhNhABAr44kbi6W3gZSzZLqX0duHrbtdEVvyDB6fTMNv5HevvOXjzk2Jsy26gzNAzQ8h2P1qCIXdfnYaJo6Jdfh/Ey+TYiy/2shltmr9Oh8U/+hF9xYLx5+eOkj3s2rvP9jd33jAWc6bTv+8CbTIHrKacqkLMcvmfZjHLHW6hAkGNwMhIJNGfMWXOHIRwfl3DRKSjjKc+QB+6yqoOu1NIqz+E8JKDHGdbyOIyKWa60sonXo6CgEw+4yYaQPuhgwBMbaP9wxXN9EX5jcxpp9HQuYW6JAPniK6aL+dySfSoe/S+KZg3K5lm74GDBmAMLMT+6lfbUUfWsfjVjAAvw/MCaBa8Ojw79rBXy+4bzmzRQg/PVTd+G3947F6+6xPxxDOvo6q2AX/8ib2puPUHXSw23XjfzxWQ5p9/+t4I8HJe7uBFelBvAC95ZJLcycHXsXVy8BfHdMcPn3W7dFKqNUJ/9OIHooVVxzZWfG3VcWKiFstEEV+JDibQouHCIIhV2zCmdJSUtyCHLuXNZBfYGir6BHACuupONBrUTSKE5XL5siRctiSd4IEKp9BhfF7kI2wkw6O4TM/ra1NAGPEHEUNW68duGA8/oF2HZLYjbFYTq+FnF+JSdyXpiJIkX/pAaBCdn8Z0mgAOcEZWSzxPZN2dQCuBhEpqiGsZV2jbonS+WDzJtdfLQC5m97a/4VjB0GI7s0Yfw/wl/QMvwiKrqG4l8KIOdJlCOVUJUwPEu0UAl6Ag14CLXGtCrC8uvfQNGM32i8iq6rnYf4wgZB/l1tovEykvOl3NhaAK8kpstAYLv0xmVph9RctdH6d0JWKGP1lq8jCc4ybvkJ5ghDBhFGNeAsjnHYThOCZJRHEcyySiOiisf5lIB+WT+2kq2Sqx0Wwi+RTWi+JtY9OCOHkOzshAIwFrGSNjyLQJ4uJEWrgkHJEFZHIw7Q2kZHMRjSmD+7az7u4/XI1t44TaoAJ8mcSJbPAmSqNy2xT/KtvmbeCli94meeMj0eKC7TKd8s3IwmY+2wSbOGmfNzkC87NiMDo1XJmwNxGw2vvnPztFdvdQ5tdEhks8QTEL5a2qmo2sVbYXI+NI3lM/+S7xWIseewwR8e7Zp2K+u2VnKbbtraLxqtmrFkUSV7x2ZSplSHEjBryqbmbvRp3d/wV8djDhyPYbFom9h+8ki4MJWSokR+OqjmPm6e0Ibm/F+NQQhcnYLP4WBLP3rLsP1UatU5Sz7SkmxgXSq8lCzxVnQNubwIuYmiYnBPB74nyc264djYVz6Hs3AObUC/RH25tDIF7F98P2eoWFdsdVGUijSbarJuP3zv/9XzSTyefYRl99NcatWoXn/n0S+496Tqq86tJkXLli1IBZPAN4hAa9qciJyshsKd+1C22U+HuSOA76QDY/lDl0WGYmkhcsQBIZ64GUWdq2Xj8YM4qKmxjJXINDTF9spl+iX3cHppe/j9aicr4zZiV9UQpIxqAI5M65WWH0SQshgFfFeVo7I61tW2S4P4y0ADCT+TKdxZ7Siv7nEfKsLptH4Hx6HLImxWEyAfSBplbK8d988yR27S4n68Y7yZUjHi/OT6Fm/nkCXvacBV4++HQf3np/G575/aPKCbYSiFl67Tew592/0NTZeU331HMblaXr5m0H8MTPHhgBXrwxuHxR9jFcwIuiYSfF08BJu6sWRfPGSE72zayyeqvJx7aWiwfrPkXH68PFiiweEphmFMoo6QjS9sP510Ey/Js0cdN/8DKaT+U4nULg9EvQlDzPKT3G1bmOSqeXy1WjkZF67lguA+kz6Rf5EBYUiVEv4y+5yCju84i5EICYuEuo+41vhdHihu7b5YPwI4y+7fRBZKhohkVq1U0zwi4lNUltk0GykuZ95dQRO6YCLZ4YikAufAbq2m977HMBvCjSvYYOsprUmQ/OmByODoIl4WHB/HjY+1I49luI1gezZpcgIXEzKfJnK04WWqbuO7gBpTW9i3FrG5umpSabEegq4j7DQmkyfQMNoqPUnXdCdzzm+E6/ICa7CghDQFeRIxGEUSa4XgaM1T7D1u1kXBOARKSaMUzRkcmvK3q/gYDJfjJfmjkWmykzEtaLgEi2TYDOSDJdOjhWiw+MD0ETYb4IA0OkRwEpKWinX5djG3fttRi1cqXTIv0lJh0dJFhmFNqIhzaTDCy8n4tDee12ZqReBV4I3lYtjkeRiwhQHQHqpUeqFUPdS+fEYtGMOESFMzXGhqK+W6JoaVxs25S0KC7qQsgIiuYiRKkwq2gGMo8a+BxJkp8sXoQpY71vGVwMTqLZpxqZhphcfryjlIt7mgFzAePF2gXEQPQqxuWOyYgadKVYRVd8bjYx99RzIfl/NJBusr+m7jtw6FQ8Nn5W4THliHp+XH30NQSWlyGEMlwBX4pZMGliQah01AycmH4ZWTD9oxMJTNcK8jM7xTt7E3gZmxFMWROTKbvtZWlJZFF+74FpStS8mtZBJsHz7+YrJrruPPLc7WcCQdTbGccdwW+au1bK1J4TjHJ3xXa55Cc/wYc00v1wG1N9PJBsZk+NwoYbJl1Q74Hi+UcJUSmT7Cp5ncYmJjGdg6Q+YUDGE/RPZpE1hmCxmnGqtwjYjZM5dTh4hCDklk0IKjzKkI12dHLiIOCKsHBLpqxFoU+SAsbI8xCZGIRTJc5jaiQTF4WxHEoFURwLZnUeZNaCAc7NikYkvV8CyZCaPTMOs6bHI4WplZ4SK63PliRXPvnkbhr7do0wXtS83IPY5kIAXp5+8R2uKZrx/YduOXMFAry88OT3mXJqXwwpLqvGwz/+M/799GP40t0/GQFeBnHPv9A/GS7gxTGa2baThVqdvnw5zF401JX9y8eonRR7Py5ChAIZyOMEsiI7h5XZcE6QpRIjH4LdByrw9ocl8KkthP/h95xioqX6aF51D5oM/TNXRCO/blU6vVxSL6gPs6cHujcm26ikJhWUNONkrl4x9ZOqszW+z9M+vPnvGhqspl7JarwvTV/d7NinlhHNRxJZOTGzKi2VaVbjw3wRTSd7hvqQsWRUKoSeTChbqUeu4nY1jlRWmgIumhTqMuFI7bUON/Bi4YykpqkD+UWeq+vBWiY2LYjjgkBSjzzrnMXwOJFAStbkNxhQU2x3yfWNk7Hn8BV2kpCxqUEoI3PIMUrUVV8FcuG7+tZOdMXZJym569eY7ijM8ZmBAF91k3i198cb28m700LgReRItUeOKOPNeQVhOKb5Uo4UP3cuogmWSNSzY1XPyLS4A2S+NNHMtZUsmGayNByBAn9OqiMI4NTRG0CaTEqj+b8laSmMfiNGAjhdDpHU/hxnF/30p9C5MCx/pqMTJ31otq4CfJnHCXjTxhycKu1NrJDmTeDFMJ4yu7RwtLuQwi0va8KlNGYUwCUizB5wkfMo2r4dp958066/2ijX0lN+JUvPDAJPPQ7JT26fM96rBrKoxEcokul6gX1R4rK9wiCib04wWUwDadW1bfiY/i+HTtCfbAAgtJpjSGzuaiYgxcaEXFTfNzXX5u1tOrr+RcDyEJmaZ9mUGssYWLq+juMcr9/cUooGfrv6axl1+Zif+wnMtY0K23NSho5s1RboWf3ftZZJSWadR8ZqLJkgEupTQs8Ma/MW8LJ45X2Ijw9ERY2zt8tdN47FzKkJqhbjNTRk/ed7BSi0mqQO4GZckhWJ61ekklXs/ttgJhNtxx/+QGaFs0Ry7Pr1qA6biNffL/Eow06jh5uY6QYHXxjfIfn21BHsFTlRjRQY1Y47A+hfx02FhRdIdriwW9IogwymPcBAGE22+5PzrymqxNHf/i/Ks3u9XjooFxIQTh8Yg7wZ158xzvXnfKSbhaKqeudnLZzJdOIJmB7OQhmBGkdmjKvLnTExAvH0tGunZM+XUqaM9FAsnJ+IqWTBSNqoJy+YZ545SPCoHls+eXok1WgIz5O7n2rmvTIMe/W8S8veG89s9MTf3+D4asaj95w13L3shkfx5M8fxMSx6XY72/DIb/H1267GvBkTcfXXfjACvHju6pEtbHtgOIAXSVqpZWyrYxSp9bgpixfTz8OPC+YB8kttT5wTemG0aPgnlcMwVmVrJSqPCwvRxyvmvpzFp1xxBUaziigDa1VNK97iB/8YgQapxSYXvoOWfGf/mcCZy9CYOLtfHf20SZFYvzqDfhlhg/4QXQhPorBH5INYVtGisGFOE4zJL25VqgrCCjlX9hZBKZ2IXtCIlh738hn/nCR0FIQoOl/bJqoG8TCOiwpU/Ark3/WM5uxgNaXTRRqImOyW1hqcJl5LJjP+UPxlHOQ0au/TcAMvze0GZJOW3V8LZ0VIPFzmzYpFVZ2BfaHu7EeN1VFmUoSZU94FHYPsfnTk+K3IL4058//LTApCHanDTN9V1a651YjuJHGD8twiTRGYp5lJ9tGF7zUhLDLxhJEYZ2HCSOVRjHnPW+PC3o+L+ThKP2PJhImlr5UVhOniJH3/P/6BRur/6wm8dBA8cmyRTFMSgMWWERNL8EUMX4NZ4WwjcOPYxqxdi9FkavhzHLZtYtvyd5q25zEW16RCejCTLK669/JQXN1nYuilOOkF6x5G0aJ4VPrYn58QWuZwAv/LGEqrolwnYBhYGNj1+OPo6DMpVqRFvN8dkg7Fex83axZCCJhYjeQ93XeR3rbzt8Jy8XPor8n0dcmgZ85gFzUiK/1oWylO5IlnjnoWoKdzDiBdf8WiBP6lIJQLFDVVbk/7/Dz+u8lcCoP5GYLWDuNc1yMsEqSxet+KVz8qRq2+f3rgmuw3EFJWDAsle0GS4kL2kSKHjp6AozNWK4UHTy2OBqVaf/EA6120egt4ufWObxPQIWvRge2SlhRMM9PpTmOAq/M8klePf3/C6OwWz9fh+PsbVybhkhnxHhfJApbmvP66U2BDIEHkuBvvxXP/KXM5L7A9XgS/o9+6O4sG9PYsT0997+1/VxKEyK6sJMhfTnZLiwuDdG8fU/Yn3mI6MsTTOFeXBLsA/m9vtaLXXkP9jh1oqWtBY1OnwuxqYerkyYnXoNgcqySKStPSLLeeQEkLARrHFhriB9Y9MS6esrdSdaz56RMikMgYdpEMWZsU8LKmxCh/UwjCCMjmCoTJpvnzq68dw7vvPDUCvHjrQbDZz4UAvDzz0jtcIzbgsW997cyZLVh7H17922N2jJf/fLCDSWi5+MV371C2GwFehuGB+Lzv0tvAi4WASD0/Du2MKHXVZDCPJ0XerFYT37cTQd4FZBFvFvE5ELmQjmkcIleSyWojFwXHn37abuGj4bnMJNsllJr5LTtK8M5HnBz1GTlGdRSR7bIJxnZ7OqNfMKNGL7sTTZ2uDSLDQ/2wniyXuTOTPE4ALtZnRxaUpylLksm8SJLyC1sUkEJkOAOlBQ+kDyJn6+GX0QKDxXWcpMXsg+D9NCysZEB1PxRhP18LglgxlPhHkc9I5LdUDZv5J874LayyVLV2OXm9xIYFYAGTf5r6HOwHcu6y7XACLx1EUA6f1LsEwoRUEBMVhHgCLuLjkskY87rGTlaS1F3BuPGhKKjuxmWLNnNxdcLuR+3tqdi693qmffV2eCq9BFpYoWpWo6zgxOjqm+n/kqhXEgs8tTBTKOZjNrQ0t77YmiJzJKghIEwdQWcBYLyZ1Dbg/uCY6E9QQKRIcTTPjSbDQvT/Bwm+iB+AJL85AuN+nFxHkUpeSwq7tcldE+ZLPKWaIo8xOkRSC/h9CVkvoRyXHVsHX9JnyXzJpcTHrAJ8mVXVgqoPGSdba/Ia42Xat3+Mk0y3sPr3hpAJlsCFaUxEEP6Hko7RvGZ3YMdRLhDKt21TDHUVaRHlVt1kD8ngI4zKFLKM1EplLfx+GbkfX/7WEbwIY5T3gkcf5aJ96JX1E7l12PRpCb0+xPx0YGal/T1joTo/rFqSjEVzEukRRT8aFfdzwM/sRf6DNuP/o1fPCfaNDajQMwsa042KBKe4qq0vLtl91HhKQzEuOfUhTFwASAugd9xESpnFNP/jpbejxBzGar/n+5rAaF5/v26UVfJd+vQvOFY2HYxpHFwPm5sxPeMorr7uIVQ3OC+C77l5HBNA4j2Ccm9vLcWnlMZ1eIhtdjxJ+b7dty4Dk0dHeTyGgBTCdrGaitvuK2bFarxTHIv6pv7BL2FEfPPOyRhD097z1eR70kpmXDn9WyrJcOmSdKLhroIJe5IsxngCyskc72Mp0R8OoFUM3nP+9Cf0kEEpwJL8HT9Vj2JLDPamrOKz3jtxkac8PD4I+eX8lrqYeAr4khTpj2ALjYVr1VWYphF8SaHxrsRXOzZJrppOb6+sKdGYNCGWRuMBdtcvJruvv/4EjmSPG1Jy5YjHi/NbpZl7nhgv+84yXjZvPYB/vfURnqdRrjQxzV1103cUjxfbdNoHf/gkDh3LI3OqV0qtb2njvDkYv/zunVQ/cJz1UhuJk/ZSR16Iu/E28NLBymodFx+uNKcChGSQgaLGiFBAFpnUh3JSKhNTAVhCk5MZNxetDIaOE79sxqfWsyJg22I5MY64Yj1ef7cYuQQPrM2X70ti3n/RVuhsvBY051I0xE53SUOdOz2G0qJMREf1pn58EZp8FLsoBSiiJMkaXX2ajBgFiCGg4UkjPaA+ojlg8hWkzIe0MiHHddVW0xIEn/2p0OvVVnUtZEDJBFZD74YAhRFjJk11dw79bmhO67g4WUpPFEJ8Clgz0DZcwIv4Qgjo4jjhlnE/OYG6awIugYG9kdDJCUH0fCDI1Kbu/CdOCEcuJzpJsQ1YPOct9ru9B8vJU1/CyaJU5T4nRvlDCERNqgyOLVh7Uzd6ksnQ8Wz1gVDS6Of1zESI/8X/bnWT2VBN8KWGLJgmJrpdCCCMJMhF0ZA3mpPpYoIJBR99hDb6vTi2CAI0Ytgo0ch2Yyl/K+Npu5hVOiwA0im3mUAKvyPrRX4v4Ms/CW6f8Kc3k4rF+txSPYo2F2Hjv/6IYy0LSWWLGOhr2Lt9tx5ZMXsR8+tfo1bji3ACB8mxWkXrL9+OuRxfbqGRrqtzlp83ktmy76mnFEPddrIoRVpky2ZKpVTWVxibKgbAEH63tPyrYcqKK+R01sMPI4HsJG+BGTJmf7arDFv3VHKRSeBTxUJdbSfHklV41aWplJX0GvB665zVHv9C3q7LdAzdllfIZrKVgrJIYPzyvPiKAAAgAElEQVQhvz+985YaAuIvvHcaBUyBc/forDq2EWFlhbD00RUlpUXAl5NBKdgy8UqC6ipMtdhR8dFB0NH39KXn/3fIwMvSKScxdf5dTn5emak6hRni7j2S+yXFjpcZyXsoj0zaAT6L0WSe3HVVGjJTIlXd+tNMHsvbuNEJ9NaEhOPU6HXIK3Nd1LHd+d2UTc2adn4SjKToVcX5cwUln+IFdS4YlBI2oaXJt6QTpXKMH4qcSNVN4kYFL70EPUEli43Ru6Ry5k1fj6NNOlRVd1L2LRHTnOtTBl5W7bqKpAv2w+zRwahiMpXEsKtpWeMikJakpTTdPetKQJ2ZlJ9OnxqDsWN7391t28rw3e8+iv0Hx44AL2o6egDbaOa+PICtvbepZd9NZ3bWzkrlqpu+jd/+8OuYM20CfvPnlzmX7lQipQtLq1BRVYdL5mU5HXyE8eK9+/GF2ZM3gZduiclk1bfbTTy0JAuFcgHg5LxuIxsKpWQovI/REsX/lGhTmdz1N8FrJYJ+6Le/tdO8SsXAsvo2vHOI5l4Olb+Y9tPwObyZVUwHtksINdSX3gl9p70nhkTZXX9Vpqqqzuf9wbEmJhXyI1nMNJBCUqiFKiryHCX+2XMxrt8u8g83If5S+lDAvQmrX3E0jCejKCVSBy7YH9CiVBHbCCbVUnIk3jYCsgiIZOI1xNE5f87YUDJk1H3Ebfc9HMBLJ0GX7FNMpOLk1dr86JmSSLAlgQlFYphrrUqJ1MpMg+IGFRGmsq9JTDvKJR3d3EPj23k7ER29z66rOg0JXLzdjFZ6R0ST6eUbyJhHlfu+8gZOcFP0rLJ6fiN0PQRdzDOh+xyALo5XK3IVAWDEE0YvIAwnmueTCSMTWZEjNdJgV5nYW83N+0AReZZiOQGvISvGsQloLlGsXS4M0xfTsDKMzEJXFVIhgv+dCQG5khSnok1mtPML3/kO9tUtGBLwMmHcYST/6reIpYdLuM6+evkDczeSXURLW09vF0GXRoJnkmjUJlIjG1lsOKWtMQSo1BjqSjx0ypIlOPi3vzmlIsmxEhjDOv1rXxuWFCHx8frgs2LsUwx4abDuRbpiJs1f112ejjGZkcNy7ioekwtyk3bjk2S9MEVMc/ZDqDGvgKZnzRlwopWxuP98Nw8niztcMkgT9GVYnrMJpqr6M9foQxbGeJrK7l5yE3bVh9DXQt23L57P/pb3H8fOHKbtDYHxMm98NqYtuNepz++/bQKmkB3gjhnRSO+1lz44Tf+mTjvzbDU3L4NFhDuZXBQbpU7u00XAW9guHQ5sazOTc2rSF+NIJ02wPbwD669IxeVLM4aF6eHumpWwADJaygi2VBKMEEaIq9h6NX02kG3EoF28ppI5RiVTTuTJ52Qg+/a0bTulrrlMiuvhddu2Km0SDqdfhnImJUoyZxOlSA1tXahmfHQjGcuuWihZjKtmh2P3/ibVHoXjCGSOHxXmcZ4nn8V4ypPmzUkgAyoCGzY8gJ27Ro0AL55u8AD/XTPnPAEv+88CL3LKew6dxE//93myXZowW8CX79+NiHAdXvvvFggj5h9//I7TlY0ALwO82SObA94CXu7g4N3IKmkro5xdNYnNTOE2Ji5EBGEXNov8/yRpKIQeAqJ7F1aLreGg2vuTywpHxebNSjVRPmKtbUaUm6NQNGm9U/ywn6YHSbn/QUuxs/Fa4LzL0BCVdSbaUAbdJfPisfayDEo47CPz1J7b5307xWG/o0sx6RUgpoBsmIpq0twJZHQP0islbEI7tFMaWS13T8kOPJSOphJ/jxOp/vq/gskgpaSo9vCZET29UE2lrZ4ZAQMXKiJPGkjMpbeBF2NXN46JZ0Of5ll8KRLjQpBIloswXGzBSNGkB3Fd64oK7qoPJoyjvKiWoBPxpZjIdqxc+Cr7wd6fIL9wDY8/HsFBGoSE+KBarw5VW3UtJRWj9LBQ8uWpaXuCsMDExLEAmid/zlsH/VNEitRAWaSezBGFCUNg7Xw0STiq43jdQFDIhw+WGPSK1EiajsACHy60OZhTyvOWsW4dTJws+ziwXpJYKZ1KnxJ3le8mbv8PVpQKVYIvRzbci2w/Gh8mpQ2qe9oqS5GpbcGix//otIhaQbbLOrIIhLHhqolHxLF//Qv1x48rvj22aLJEqaavWAGLJ2NL9tW4r3wF6ZdcgsMvvIAaLqicUGluI4BVBL9/w9lq69sptS3FweMNaKVnwlDBcdtznc3EkNVLkzkmhZ3Thdtw9tdQ9t1l2g4T3oOvn63vBNlehh9zzA49M2Z3Uu767NsEX5hO5+obs/LUJkQX58DioBdNuyQLu+aso5lyi2op2f7PnsLx4jAEBccO6tIMHXWYkKrHgpUP2v1+DA1KH75zqtt3vqK2Hc/TU6+kduBj3JRMHb52JVnOOvWy03yy+PLfeccO2Jb5YIlew9ScG9HS0b/cdeHMWNxy3fhz9hzL3KmBflvlYpZ76FCv9NObL6eru01g3Z/AuwC+qZyPR3L+fb5Ya/k0fG+hSbDF4RvYedUGvH+cCXz6XkaK9FM1tc0ni9o5fnFORsayYzclU1a+JCuUTL9eiZ6alk5voqzx4ZznqfMbEubZvl1PI/sk08O0g3uXjIY63HtHDJ544gk1p/iF2UYz+1/n5VotB24+L8dVc9ARqZGaXrpIt/EW8HIjfQAacnJcLyQ42I9l9KgM8qES58z/FDPcALJZXMmGBtKVXfQd2PurX6GbelETZzBlla00SOqEacmXUBOU5sTsjmnNg8+Rj9BF40fb5h8Wju5lt0Nv6C3Rx9IH4CtXj8Lk8e6rOQM5zy/KtkrqS6sRQhsVXXpBaSv/s02hGA8EiElY1ghjdDMnsW4kR50B8N+bjoYGdZU/V/3fzMifKlbk6prsKynpcUFYOSNKPvm97BiauzXpmZhEs97+9PXeBF4MZOTkFOh5bDMkoSiRuuSY6GBOcp0jocNIxaU1Earr1LF0xoyiYSNTnbpNvRPRS2YeQELCTuV6rc1kCsPW3V+DweTP5Cg/lDWom5xcdjX9L8Y1oEcF6OLHtKX5BF2iA6Svv1itgwv6GjIq6jhmNoth4nkAYdoJBNXRt0Sqjz0EYsRHSwFgqPNPWroUdZRuCihp20LEV4tyJQ23d6xyL/if/0EkZaHuqt81rDz/nVHTlSq8THZ+59s4+dAj0BCQH0yzkNEz6cnHseh3v7f7eSCv54cWM6IFpXTRjPyebP7BD1BJ8MUVzT+OlWEdTTqlv9w1kXVN/OpXEcd+quX9PUxfHVcJJJk0JZ5w9dXnbKFXzYWweJ0dyKac04Xp+GD6WX4j0t2l8xNw2eJkhIdrz9n1DPZ8h/N3FhYL2ox/REAQWVI2TWNaR8XlEjuwT1iW/3wvH8cKer+Pti26tRaXn3gbpspap9MN+943kd2po9G6OvBl9xZ6vFTMGBLjJSv5MOavuM/uXB786kRMJtvF1cI9r0RPpksxajyYCbu6F4umRuDmKzIH9BzJeytsl06+97atlKEB9WNXoEo73qVPiHXb0fRFe2jDVMW/aLhbN4GGKgLe4rWl5/h7LhiQUujUcc4tUdCJ9HAJJvhyvptIXfPIBOwRcNumhZMZr59/FV5/r+iMmXQXwZYKfQfKmKjV3W0mG8YMAwtSwmayvjnTM7QYk6zFzn32LJr+rjOZ86pZkyNUp1nu3sFUo9xJlE8PLH3uzDn0tODhr7fhcZq2j7SzPTACvDg/DSPAy+f4DfEG8HKKZrlXcTJqtMaNii6Tf0qkMw0exzBVaNottyiVEU+yoYF2dfGWLSh84w3U1bSglAv8Dg7GPuGRaF1xB5rb7Scz/jS9S8h5C62M9HRs2vmrUBc5RVloSIrDFcuE5aK+2jLQ8/6ibK/QaOk5ImyY0opeadJp/inSnn5wAt8gM5JX1aPJ1310sm9lBExHYxUa/WCaGLZVkR1VSv2wyWzzrPC/XjYzil4wojDooUmhBtogHzJDAhEoQAypr40EYtpJGbct/HsLeJk+/07kFjUr70pyYggiI7Ru3xsxC42I8GXEp2ftuvTRmNGhKCfQZI2BDtMZsWbpv2Cy2KcllZQux8nTMxAfG6gY76ppyy7vQcgUGub1n8Ku7MrH4oM5XdOREBivZtef620MlGbWUPbTkJuLBrIsFDnSOWDCSKpcE81yhfXSzWrrmWPyuRNfrQAyEoX14mtN4BHJJ+9ENCfuwlwMjYuzA1mi6VMy6/77FSNRd62c79M/eH01NNztrw0X8LKux4RLA+gf5ibmessvf4nTb9HriLIFxxZAf7E0Llzk2t01SYaafPPNCI2NVdiXu558Ek28t45N4rsX0fhdQJxz3Yrpo/PB1mKcOt3q1QQkbZAvrqAB7yVzE5V0kOEw5jzXfTWY4xlM76FHs5XAwdnijgbhBPJ+wIW985zihfdPYz89x4i127XluR8irkjkgPbPYmN8OuJ+9C0UFjTiCL2/PJkoDwfwMmFMOB746mSXbJf9J+vwyuZStA/QRFcYxlctjMPqhSkDfnZyP/gABe+x323GzTompZW0BKBt0W1o7ccMPoLeb4/eTQ+raHWSpsE8EzIWGDjGilluBQGXdgJE50JO5BccrCTcJYlZ7vjxF5ws8BSBlzZ+84im2HXr2B/+EEX083vlv7mUg/cWfVo4aSmrN1JyZCLY0mvK2yUADP+MXWTycT63ZGIYwkM02H+0//RH24NJ0tG8rCg0NHqe54wAL4N5+j3/RjPrPDFeDo4wXjzfnZEtvN4D3gBejrGyd00Yo3iJogdwoJfBXiRDQmEP4eR8wfe+By0nmt5usnDY/rNf4sSOYxw0eyUjSptHECVmihPDIq7lFCxHPqZ5pL0Dul9EJLrIdolmdOCX145GRlrEgD/83r62z+v+hBEjBnJi1ivypNzCZsZlsuJHHx478IMdoMvsROjsBrT1uHesDzySiuaSwEEbSLpjvaTSiHNaZohTfKes1yS6OoKeJxFhYsPrQ6Nfo8KK+WgTK4sF1NIPoRoyOTMbo6bcRiprAMJpBNrf4iWQ/i6x0T4or1HHdMnMoGkdPW0MXWcp13OnHkVGKpNbyC2yth5LIHbsvZPXF0bjXc+TEfnd4mVA5MwGmBljqqbNNGQhNShZzaZfqG2M9Fyp6wNh6jghlfS34QRhOgj66Ck5auNCoJvHtq2+xlMm00BDWBlnrVIkHzFipJdLEIEFEyuVEZQl2T6jMwm8JBCI7++5LeT+nqV+v9GN1Edu+HAAL1GUGH2PrK4QF9GoUjE/QGZKLkEXx+Qm6wOYShNhX1kguJIDcNWYyWjtMWSxWCVM5ey77BdfdMmcmXjDDcgkq+h8gROyaDl8vFaJoC6nkaV4dHmriYn5qmXJWDAroV8QzlvHu9D202PRo73rr4zgreapiXw1mN8JJgqZroKvZpxLJseW/ZXYl9OENnq3aAN9+OcLnaEFM09+gq7icoWN5hemY8wvZUuUoB6dvBTjKDuqq2wiSN+ufP/kr5VFAas01dovwwG8fGPDJEwcG+PEdvlwTzne31UDwwCfJx3TB7+6KhVZ4wYu4ZDEsW000TbYeE81txhwMr8JfouvQW0wE93ceLuId87Dd0zC+NExw/IYKQxgSScie7CSf11u/A+9eXB5VrQcn8UsN4WSohACxudLTuTpuvT8xhVwjLSQfWnbIildTaN09VRBM16lJK++DxSpI5u6uMZAsOXsPENAGLm/BqYt+nFcm5keRODXF/uP2O+zv3OJZVFt4axoNHowrh4BXjzd0cH9u2bWS4P74RB/ZTl4yxD3MHw/H2G8DF/fnvc9P/QQIwIZwxztYjKq5uQaSJHvGDUKd3OS7orNMuvBB5EwebLXB36ZOG55dTOOPP0s2khBtDafwCB0XnkPGtrtXT39Nd1IOEm2S5lzzHXYsrVYdP0VWDwv5YKrCKi5BxfzNjIxERPI/MImsmFacCK3CfpWMbztBWLilzTBFEdzWcoDXLYuXwTtH4W6anULfsd9yAe7us2AkmqjE/Bz+awomChP7y8VRHxX/BlLGx7qj882PYUDx83QhQ9OHtHeXIXRaWbMW36/xwWZP/XGyYmBKGYyEw05PD4C6SnBaGQFsrXz7AJLG2jGlcteI0BaY/f7yup5ZPWsxNEiAbw873vuQh/EzatFT4C6xdskw3iMDaJB3Uhz2wMyvsm7UUOz8nrKVWqPHFHMWS39SFwG050SUdpQXc2Et0IlzUgWMVaJTTABFi39RxroS6M0ggtCWfdj1T5uwQK0kg2jJcBuC76EUUo6/9vf9rjgPkxzoVdJGW91A74MB/ByO9kus7lwdVyENFLqdeyVV1BFv4Em9rWrFs5vXMyYMS6ZMMLsnHjrrYgn28UKpMj92/7736OF+3ZsOsqnFn7/+x77aDD3c6C/kfP8dGcpPttTgQbKQtREFas9htD4r1qZgikTY/pNvVG7v4tpO4PpA1h8tvN5EGhefIoSyPJLYdpjlts5xqliPXLIBvWjdissRNjBBPhL8xBUXgwNwcqAyAj4hgYTjGW0eWsXTmTMwvRxkQoQU8JUF2FgnipoQmWNrb8M4G3gZVxmGL5xx1S76+imFOSNTwqx81gzum3ZoypuWhqlvRvWpiMxdnDylzyyXU7bsF0MBHVP5FJ6rotF5+Jb+mW73Hh1BiNg01Wc5cA2MZHOKzLDij17UEdJ6XCC52fmvmQaRnEMUuREWe6fs4FdyfBvfYKym05Jy3OgQI9/7DHIWJmT34hXyXypaeC8kIzJOrKUCxgx7aoJCDMmIRAJLIr5+/Rg2x7KnlVODQUwvmRWDNnM7gtZI8DL8DwPmpnnCXg5NAK8DM8dHdlrvz0gjBdfGj0N7pMHtHLvBRzk7+Bg79iSFi5EFmnX7kwMB3trauvbsHHTabRuehXtJ0/Y7UaTtQgN6QuIiNsvAuOaj6HnyGcwGe2N3mLTEnDDU79EUnKMx8XuYM935Hfqe0AWm6LLLiimNKm8BYXVjdAtrEG9pk2hlrpqfnVhMB9KYJygOh8Sx33oOWGtajagnvIh25YWE4hp9EPRt6rb7+5PyXgpmz40LX3qEcxfbq+ldzxfAYtGpwejpLKTLC/PwEgC5UJdfr6crNvPQKZPyMG4UVs4VTn7TlgYQ1RTdQ92ntC6TNxwPJdpMzRIXVqHnkB1oMtYYyYmBoz3OhCr/gm7OLcUUERAmFrKgiSNyEyAxFsgTCelM3r6vBgZm2wiVb+LlHgzjydNIqRFKmMiI8S2+RNsiKS0SM9zkpSfSCbQSSqGgBoz7rkHCfwmeErJ2MQF4xYu2NpdgC/eBl4yOa48LCCpVTbFixHQ6fTHH6OYxuxtrEqL1Kub4JZjE7Ap/dJLYXHoA9lO4ren3H47QllVtm1FjOzOef11lwuuGffei6Rp0y6od0CYEh9vK8HeI7WMojf364cx0DdI0kPWXZ6GtJRwr88FBnouw7F9JyUQ3//1M5TTVisJGE/89EGEhnags/tF+AeIPG8MPtvZjL89l815CbDhhjW4bs1SMlOcf9dl9sHGzfvw33c306C+G2uWL8bNWamMNG/C797fjoomSvwIHn5vxVy0pY+HOTIGn362BR9s2YXf/eh72HekDjmn7T0zvA283HfreGRNij/z/DZzIfzipkIcJ/NmoN6wk8nC/NoayroHYKJrew9lrNrGREsDk4CkyfzhJBfq4smmvZQ+f/4ZTj5V1t8v5CL71uvOgqVDfTZkftLJ8aPy4EHFv0W8syw2aWhD3b+73/uKJxeB8FTOwcPp4+Jp3B2u8xjsfusovyqlXYDFgQ0UtWgRUm+8URmz84v0ePk/OQQVu9BBWVFZfSdqHbz5bI+/YnoEInSBCPY3YeveBjLiDXzfKFHyAMKEhQRg+fwYxfPF1bM8ArwM9i73/zvNjBeHZ8ce9mo5fOt5Oa6ag44wXtT00kW6zXABL6JhX0iTQscJ6VC6ST6qu/ZX4N2P6dHSUIGIAxthbLFZEFAHYrrqXtR22uuoKURB7InX0VZx1nhNKlEZKTosf/gujF2+7IKaBA+ljz5Pv5WJjMiSjjcWI7uHlX8DXe0ZAS0mt46xkP45iWg/raPWV2V5w6ajBMioJOultMpgH3lJLEFhvRCP6Y/1Yt3VuQBelOc2NQilZLqoSVyKiiBDgea7tXr7fvH3M+OqZRvhG1Bm98hoLNPw/o7LwO7w2MaO1WDS6iZ0a9XJkdKMyZjm378MxeNBv+AbKF4BBACqyc4QKZK+z5h3qH4BEi/dSrND2Y8CvhDYEZ8TSZ7TkcVSz9QNxxZFo9kOypQMBGyCKSkV091gGsuGcvK/iGO/lgsCT+01Lj738z3rEOqYTfM28PJoTzcyyeq0sl06OckXlksT+1Cut4G+X+0uvL/klOLoj6Cj7M7RUDeNYMz49eudwASJtd3+u9+hU2KoHVoUwaq5ZIF6uxjhqZ/V/ntVTRvlR8U4QtlL+yC9s9wda8GMGHqnpSCOkt6LbXHYX//99YX/kqXii7tuXotX/vMJZRHNeHDDtQRe/st0o1Yagabiy3f8By8/fQ+r8MG46d6/4tW//RjPv/6h0+/uvGkt1m34IR7/+aNkIvrhkR/8Dn//yX14/e1PCImDcpzFeGPLXtTVNuCmZfPw8qlKGqsH4o23N+PlP/8cW3ZXYud+ewajN4GXMYzhffjOrDMAZj5N9F/9qBjl9eq+Abb9OJd+HDdfkcE0vsEb2jp6u5wuakJVnQF+cckwLLqZ/m+uiybjWVC599YpHKMGf2zrtcgcpZnvegXTiSr5192PB5Ta99DTdpIM+v/Zuw74tqq7e+Ql771X7Oy9QyYEwgp7Q9mjjFIo0EIpUNpCoR+0ZZRdyt4QVqHslRAygOy9EzuO916ytr7zf7JsSZYtyZbsOHn391PsWG/eN+69556hJdiby8lNSSeKplfUwSon8nYugnBsIjvQwPaHHb7OxQnij773XsWuQM5NgjNefW+r0vepkf4aEym7i1UXud7C6cnsKwJD87TYvLMZdfV6hjHwQxBGGFodrrxuBxgTFUbwJR3Nza4efrKYCrx4vZq9WkAFXrpWmwq89OpWGhwrBQt4GUsz3QIi1oHSsJfTPPe/nFXZtKOR72bO+NesQNvalS6VrBk2DvXjT+bL1nWQmVm/AeaNSzvYLpICM2xIPFKH5uEoDhAiPBjeDY6rd/gc5RrTBpRpKmAOMSuNZjOp1o3U+9Y3GhWwxWqiAe7qQlR1VZL5VEkNNACWhCN31ktuaiQmD43t4vXiaaP9AbwMzY8hQCQRpN6ZLnHUOSdmRKHEQ9rRmKF7MXH0l3S86ERYEuJCsZxmY9uK073WWV5+CKacVkc6t28d7lxjFqaETQzY+8DrAR4GCwgI00Jz3ArKkKpIZxfDRpEJ9QaEEePHhgMHOnwSzJxtV8AXftLoEyDJS0bGSDuXMMqMUujnUknvAini8RVNoCacHl8Tr74ao5jYE01zdW/Jda8z6WgteQF6J/AlkMDLEZzmvMQpPrqGzJYtixZBx/OV0kx/gYadO2Gh6a97UQY3HNhYnJgwYZxUGM2Z2ByaDHtq33Z++SV2ffSRx9numX/4A9IoWzrYy27KXj6ldKToQGuX9rQvxx7G63Ds3Gwa2Gcr5vWB6h/05Zj6uu6Vv30Q99x6JYbkZqCWjJQb7nyUwMpf+I4u5vt1C710KMP5eDMe/NMvlF3d/8hiHDNnKl565/Mu6912/S+w6OPF+PNtv6SJqAFPvrgIx8ycgLfe/xy3X3AicpISOIBsxB/+8x6euf4C1MSnEvRMxSXX/xFvPfsAyun58vqHe1wYv4EEXm6ht8vodm+Xn+kRtOi7Ehf5qq91edLMVJx+VH6frr/4Yf3AREs934FSSsubeb/SE4vdv8jjziPbJd8jayGL0qabrhyP5KS++Q6KnKiC711ht9Rt395j0pmv9eJtuRCCx/FkGOYRcJH3z8EK4Ho7D/fvK8kQPMAocJsbaJVy9NHIO++8jvOsItPl5UWbGNBALzQyrXaWtHXLshqWFYUxQ2IY7mDFqMJobN/bokjYJRWptq4NNdyWTOTJeKLLez8iBAsIvrRxXaqbOooKvPh7ZX1bXjN5gBgv61XGi29XSF0qoDUQDOBFGobZt94aEF23vCS/4QzcNz+UdcxexNpakL7mHejr3MyzTroM5VZJk+isIi0MSNu4CC0VVZxd0iA/J5bRvPYY63E07ypgAzZoZwoCeicc3BujuhfLDD+iOYKSo3bMQQaeSmpSm1mJsDZUhqNlcToqayxsXBkz6Jv6RTlxYdCUN4vXi95VE8xtHDctCRYa0rqb/7rXWLCBlxGFsZQXtdII0/u1koSR1EyCLjVd9crCmjnt6I8JOFJX3V4SYkNRUZuLxT+fz6jZnisuhT6Ec85tgiWhe9Nj5yNMN6ViRugUhIXQlVgtQakBeQ4aCSRUksFRQ/lPK2dgxSjXHxBGWC8tZH04/AgsHFgYCMiE0jsgkYkYVZzNdS/JEyYojBdde4yrMB2jCL6Isfowms3G0Scmg8yYVHoPaPmdQ47kvB0Lj/1VajA2akJhaE8bChTwciTjpO+0GJHTzr7ZQ2nRns8/V0yLpUi0ay1BJTkHT0VYLSGSlNL+MoknaDKe7UZCNzHXOoI4yx58EEa3iFTZtsgBJnJCYrAMluSeWrW+AotXlKCMs8vOhpZ9vYljY8KwcH4O5k7PVCJ8BzMAc+pld+Ktp/+EuNhopT068cLf46u3H2IV2SgXWkEGUQmjn8vxhxsXKmks/35pPbIzcvHi2593We+3156HDVv34I4bL0ITvc+efvkj5Gan4c33PsezN1+CCLKpJDHywodewVu3XgYTG0PdsFG48sa78czDf0VpFSUYJdVkLDWRDWBnDwQKeLn6V3fh+svGKffvVzTR/fzHSuj8TC4KZdtzxcIcTB/nmojWm+jrRiIAACAASURBVPtpO59jSTISyWV9gx7b6G8jSYQR2fnQzbrAY9phLCcjfnfNBPqj0ey4F0XxpKMssZRyImG3COgjksWgFrI9RE6URvmmyIkknWgwPy+e6krYhBv53jQLS9CtPkczaS6WbYqj1PFav/T2ZmzewyTT2jYynLrvEB05PgGREWFKf3Ak46b37td3sKLlWW1tNfLeaVOYMO4pleFhBF9mpzE5Sexn7H0iFXgJzp2umfxqcDbsZau29ZcNyH592anKePGllgbpMgEHXthIzLrjDqQWFPS5RvYU1eHdT3bTOI5eFk6u9EMa1tLTYymsTlqLkMw8NMz+BY1a3dgudWtg2rgccZEaheUSFWWPtI5hx3kuj1Nlu/T5MvXbBmptdfjZtBbGCM8NrTSkw9qGQlOcgANljJJkvPi+kmY2qARi2HB6A2LqhfXChKLaRtft57V7vTR68XoJJvAyvCAaJUwfcbMo8lj34ipQMDwG+yo8m8QV5hzAEZM/o/a9VVk/NjqEumnOze44F1v2FfRYT3FxnLG+kOBPkn1dbyXFlIQZIVOgDdV6W1T9PkA1IIOD+uJi1NCbRTxhdPQ/sBE88AbCiESmnuBNG812HUXAF2G+xNNYVsAV5+QQWSaUbEHxgangjKWjyCBB6OEZNFWXn8Ka0VCnn0qQJo2fdLJkIgjCuDNhnmvTYzPBFxMHloECXu5mZ/7scG6TQMtW+ghUkx3kAJYUsIqASwNnqz2VRJ5zCr1r5PilDGFi0cjTTusRONlIX5f9337bJflI0qDmMD46kUDUYCtGeip8z4H2cibv1NI7I5AJSKlMEzn9+HxMnZCm1OtgnAQ5i9KgVx+/SwFepJ+y8CIH8MIBm4WTRsvWYu2mYtxO4EXAmGdeXIWczCF47b1vuqx3+w0XYvWGHQrwIuVfz72P9LRkvPXh13j65ouhbSajg+/3ix95FW/85kKYqaUwDBuJy//4EJ7651+xcU8Ddu5vRl60hUa7LQr4Eijg5eP3/02fnkR8sLgYS9bVdIm/9nZfZyZH4KpThmBIdu9AD+fti9xSAE4BPlp0RmzdUdcRqx154oWo1GR3UZIQ82EENuPeR3tndLqfizAABdQuZVKZANtWD3Hz3s7f3+/FW0rS47L5fpV0Imfwwd9tDYbly+i1Vc6Pzc1nK+3445Fz5pku790mMp6fe3MjVjOGXVKOGls893UiwjQ4aWYKmdFM5mO7MpKJR3s5ntDrXccJ9pAHgjCUI9UQzNHrxecK0JL5cvQR6ZSb0wmPHxV4Cc6dpJk0QMDLBhV4Cc4VVbfaYw0EGngZetJJGMXOaV803G1tJny1pAhLVpZD5/aCjKTUJHf9W9CRweJcNPPPQkU0O8lOtEHmGyGL3i6p4QZ2XqJdZgnGX3UVCkghV8vgqoHt5p3YjSJY6FHSXZlrPAIp4cnK16K/LqFZ7/7SZmqDW7B9VyNNeD0PHhyslyJ6vbiDNCdMTebsuCQtdV9fwQJehuZHo7xGzOF8o/CMHBWLnaXdO/OfOO87xMfbk2okxtPAZ6ZFl4olP12OJtdADJeTjSB2csolnDFK7WpA6qlWksyJmIEpiApz9VwaXHfc4D5aARfqmVikpCPx08aBiiJH6sb0sYGzuc0EbRzmusozJGkTHBQL26Ni+fIuFZJANouFzBhhyziKADLx9HopYKfZXFvr+q4mgyaVs7cpnLlNJrgRSzBCQBgTAfEXCL5sJTNq6R9ux9abfgtNN8wSb1fFRpBo4uOP4Ku/Pwgrz38LARHFc8XpwdbxmOuZpuHJk0His4csWAArB3jipzDu8suRQ6+XnmaaxedhxUMPKXXhXoT9M/Lkk/vULno752B/Lwa8X31fhNUbqxUjc28MQH+OR/zWzj4pn5MjSYOGEeQ4v2t//xDu/M3FKMzPQnVtA27+0xN4kwwYezFhzaYVePPDlfjHny/k/23460Of4LgjZxF4WdJlvT8QcHntva/w0J+vV9a+56GXccy8qXj5nS9ww3kLMTwxCpWVtbj7hQ/w5JVnKkljEdkZOOOux/Dyk3/DrpIWLF5ThWh6XGRGmLGruAVffvwENpVO6ZPp+/GTtmHR2//GIvrrrd/T7OqF5sOFHksT3ctPGoLEeO++Tz5sDls//hj7KOkzUKYoCUYtrfaGOSKHbJeZntkuV50/HEdMyfYZ3JN3ZzPfl2UEW8pXrbK/OwOcKufpXOXdKelE2QRbMglUh/N9eTgUaXM20+vFRFNi5/e0xGOPuu8+xLoZmLe0mhTwZfnGOkqOdN2+j4akR2HSsBjUN1mYQBmCoTkRKK00eGREOVjUwqCuEzkSmTACps6bmsYo+BAs+e4Z2h2MZUp8fO8uibUJt1zXgkeZ5KSWzhpQgZeud4PKeDmEn5BAAi/CIpnNKNFIzmb2tuzeV0eN8y4Okj1rN7ObtiJs3bcu6USh8YloPu5qNLS4Dkynhm5ESuVGaPmydZ5Ji6NZ5DyyXfoCDvX2/NT1+lYDQtVeYfgJtRENlBx5BiLibXGYbZpOiqnrgN8R0bu3uIEu+fXYsbsRJfRLkZkM0f5KqeWsRyW19bWNrsCFRF5OZOexJ9ZLMICXvJwo+gYwst0Hs1s5/jGj47HtQPcx0Bmp9fQMeB8WWzOitBrOnoJ0eGD3vpOxcffYLqbFHVcrxIbTL2+DKZUDUZk69FLizXGYhWkEXQLT0fa2P/V77zWggDA0MKwiACPJSIonjMiRnEAYI/+vsF7cjGEFfIklSCLgik46xk5FZmYzjjwS5d995/J3Bbw44QTEc9bWIe1xP8oQDiqi2W6kT56MTEqSwrjsCzTcffGPd2HLTb/rE/ByxmMP4x9nnYk99A5wT2Wy8pxr5FzafV7cjyuDg54YetZEkbEznqBL8pCeI2cVWc7zz6OKgzT3oqXPzdw//QnR3N6hUKpqdPj8u33YSJaBGPB6YxL6c86TxyYrEdRZmfGDpn0WoKSFzJPrLztDAU10BAOuu/Q0VFTXISpSC622Fudd/RheffJamu1qcMmvn8Pbz9Iw96PtZKQY8OvLz+xY75cXnYyzrrwbrz95NwGoUFz46/uw6Nm/4O3/foeq2iZcd8JMvP3J92hpaMJFsyYgNCYKUVkZOPX2h2ne+yCKKlqxfANZXM0mZSA6Ki0ET//rfqzd3zfg5RfH7MWk428ki9I1FdKXazt/cjLOPzY/YICayPnE28VAOZ9EDdc5pRFGnnwpKqxdGS0nH52N008c7hPoIuwHiYIuoZSohoxBMRkP6E3uqdIIPEssfTalROLdEs934qEmJ/LlXimlfKyCclD3BLmMU05BFoFrd5lmK1nKj72wHj9sqkZxeff35qwxiUiICVX8qkTuNiI/iuALPV7cGPLOx+gAYcQPpqlJj0kj47H462exbsuYoAAvT730Ib5bvo6ThVbcf8cvMX5UoUuVyXeyjJ60519eeDLOPvko5XtP6+0vrWTS2vNoZPjI9Mmj8effXqbc+/4s28zY+t/f9wxioqPw8F96Ttr05dr2tIxm4it93USv1rdtvLxX6/XHSirw0h+1PED7CBjwQv26GAeKxKg3dGFhJny5ZB8/Zd1qycM0VhRsew+6/W5JLNOPQ3XG5A4KdBz146fNjUPbl6/D7MFhfuI11yCfs5dqGZw10GJtxQrTj2jTdt/QjjAPxUgM67GzJw1rXX0btu6sbY+wbkJ1vQFFNF3bS+d8T6wXsXvwZMYmNRlo4CUnIxItZH81tvimIR/HlAgBXXqKmD5m5nKkpqwmKGWjDwf9AajRt1ji8P3Pv0Rtk2uyjPPdcfplRpgzGtnh8H7PxHN7R1inICa89wCs972oS/SlBhQQhsBDDQcYYswrMiKF5cJBh8hvhPVibpfYOPYjAEvc2LE48MUXXXYdR1BGw3WbyC5xLuIPM+nGG7vMYnocexCoSWA8cyylSLe89jqWnHUukJrWu9Osqcb5TzyKy5kiJOCSe2nh4K2OhrqevhNDXcVLgccx+uyzEekDYFLOOlz3wgsKm8i9iNH8EHqJHWpAv4DXX5KZuo8si5YAJyDNm5GOY+dkIzMj7qAfgArQcuu9TzN1pYreLSl49N4bOViJxL0Pv0wJ1UiccvwUfPbdx3jm5Z+EoIJrL5+GU44di9aWZPzh/g+6rPflklV4/IX3lX7U9ZefwWVnKWDOb+95CvuLy5HOFKM7j54GLemXT67eiu01TfTyqkM2AZiJ4ycgKXsKB5Qmvs+NiI8Jx48f/x1rdoUhNjG7V89Sa2MZxg4xY+rC3/m9/rnzM3EMfXwC6Wu06f33sZ8g765d1UqCkUNTFJ43FLoZ53RJ45o6PhlXXzjW6/MnfdADZLaUkNXXxPefp3eD3xXgZQWRYMYT1M2bNw85U6Yg/DAPehBZ5yayBs1u4L7IV0f99a+IZrqce5GY6L889hNWbq6nFLJ7ydHxTKiUFCTHPMOowihUVLF/RZDSWxEwLjoyDJt++jd+XGdCbFyWt1U8ft/aXI6rL87GY4895vL9mo078exrH+PZf9yKPUVl+OujrygyREeR6Pmzf/knvEMQNpwMzAuuu0dJRtu2a7/H9a767d9x8zXnYtLYYfgd3xvnn36Msp6nfXhadtbUsfjD357F8IIcbN+9P/jAy4QBAl42qcBLr25kdaW+1UCggJe/MfatNxIjGQCUHGjC2x/vxJ7inn0j0nV7Eb3uCxhbOQPRXkLCI6A/5TrU6Ox0zHnT09jRKcD+Lz5GGX0H5IXpXBJIlxfj30B2BPp2BdS1e1MDxZYSbLZugzm8e+3PHMMMRXLk68yR3CtlFS146/Pd+GkTwRga7YrWV1zt5T4tJBAyNj9Wodl7KoEEXjKYpmRijnVdk2+gy5jRcdhNT5eeYq8TY3U4cf7bvPebaHyt6TDRLT5wNNbvmE7NvmcG0WkXm2DNboSNrBdvJcYSg5mWqYiLiPW2qPr9QVIDct83EISpJHhQzRneFnZ6qynB8cQGEdZLG2eaG+h34FI4Y5t97LEo+/rrLmcVx4HFCMYum8SA10d6xH8425y7YQN6exeJdW4p5UzXEEBxL+LXUE1DXUN7Gor798LSGXPOORjiYyqf1N/yhx9GI+vMvcTl5WH27bcj4hCWC6zdWInFKw+QPaijHNK395Uvt76Y4c8mxX/B3Bxkpsf6/B73Zdv9vYzRsplASgvPgd4RaOLu6XvEu9tmWuBXCIGZzuo1S1ageUcRTOwHRWWmIXpIDkLCw9AQm4IiYyTW7WRKFweTArxIWfnpo9ikO5I6nKTenbaxHhOjl2HWKbf4vL4ATFedlBsQE13nnbZStrjs739H8Y4DCuDn3L2LPPUKVJhTXI5xSE4Mbr5qPGJiPMtd5dk10FOk5Oefsf+HH2Dg9r15YflcCT0sqJjlTpqkJKaJWe6hBsr2pY5KyFCsWrwYNjfJZta55yLjmGM89t0NBjNuvH8Z1u1o6jaFLTUhHPPGJzqBM/QEJPOlrp7mzG4M5+6OPxB9vFsurO4iNXr6lY+QlpKA8049Wtn16ZffRZDlHjLm7OMa8X2StLN//OlXyv//+uirTEabjE3b93VZ7w3KHMV36pt3HlaW/WLxz5TjFdHfUuvzsrf+6nwF7N2+uxhvfPBNPwAvL/fllun1urZNV/R63WCvqDJegl3DA7j9QAAvxWw8XuMMRCRjRP0pBmocvv2hGF8sKe0wRutufUliGbbvU7Tu2OayiGbsDNQOOxrJiVqcf1ohRg5LQSt9ClY88ohHtsvkX/8auWzw1DL4a+BH42pUh9XA2g0gEGOLxjzjTERq/fMYaaBx2yOvbmTKD71gJLqa3gZCaW2hN8z8CQloplbY0C5Ncq7FQDTKE/PW49RzbmGH0uIz6DJqVBz2VjL3qXtbF+Uw505ZjYK8lRwE0kiu3S/Gao3AstXXorLes/ntiecaEVbQBFuod9Al0qrFLPN0JET0Uv88+G/JQX8GMutbu2sXNrz5JkoIXMtApGOKkGcn8qEkzsyWsmNsbCQDyglIiSHAEsbvG8kkcS+ZbCMy6FcgFHJfUkCeY0T1KIJAvb2TZGi7k8DL1R6Al0bGYtdTbuWppLJtOOaBB5DCc/GVublv2TJsffttJV3FvUxle5PF4/B1W4P5BlqysgQ//EjQrt7otT335zzDKc+ZMy2doHEeI4CjB2VdWm1V0Js/RVi4TC5RRg09gRcyDE3nIETTMzPTva50K39E8Qdfoam8nlKjGEQkM7JdG442swabpp2AXRUmsoYtZDO2pxr1M/ASQ3+Zq0/Nxxj2xQJ932/gc7b5k6+xdXs1k2Y6aya8cBR0k09XGA2OkhAbjtuuo5l3WleJnwAuzTQdLya7RdKJPDGj/blHfVlWvEoiKDvMolluPt9LDm8rX9Y9nJYxEQjbQiDb3J6U5zj3MLJdRt1DMKIbK4NKmuL+/h8rCL7Qg6ib+bhJw2KRnax1YegV5mg5mWampNtLB4oHEog+nifg5d5HXsGRR0zAAvo5Sbn85gfwtzuuRm6WnfH5+Xc/daSdyf9FMpSdmcq0tL1d1hPQ5N6HX8H7z/9VWffnddvx4ec/KOlx7vvobtkH7rpGWXftpp39A7yMf3lAbnHb5isGZL++7FQFXnyppUG6TCCAl6aLLyaF7TW/Gtm1G8v5MtmveLn4UpJMlUha+1/oG+0xoFKkUbeddjWmzh2LY4/MQ3S0ffC4lsdSvmJFlw5+Amdr5/zud+rsgi8VPgiWabPpsZx+L62R3TvCDrcQjLMO82tWUU5dWC+rttDDoB2gEMaLlPlTkjE6L5p00BZskZnFJoMicZOZt0A0yjOGbcKJZ9yIqjrvnQA5nhHDExipyChtL2zZ6EgTzjzuHWijaETY1gmilFbOwpot8zwCScedakPESMbshnu/GcJt4ZhlnIZkbS9nVb3vQl2iH2tAZoF/IOW7Tgx5yXDR8yPAgvjBSMKRiZKaBgIsRkmgcEw7832cffTRqODMsdV5VMTjlnSOeLI/0pl0FMLvujP3dZxisIAXPansAix5MtSNosnvyc89h3Sen69FkqCW/eMf0Ll54sj6yZQ5zaDMKpxygsOl6CiN/OaH/VixhtHklB85vLMCcf7aCI0SQX3UzGzExg4+7yid8UUaNW8h66XzZa2x5TNx7Df0gfEj9Y1614YH/459K7cpMcrOrI+tM09C0bCpHe2W1Ht/Ml7SEsNx7ekFyO9lXHNP94mYVy/5+z+x7qd9XZhVUadeiXKz3VBfijBubrt2AoYXdv5N/t6RTkSGSzVZe5L2Fuyi+Fjx3SL+LQK4RMb2lscX7CM9eLZf/MEHqGE7YnOTu+ZedhlSCeJ3x1hfvKoCj7++CXv2t7oAc85nJpIjzmu5pLMNzYtSJtiqa3vudwWij+cJePm/x9/ArKljOoCXy276Pzxw17VMP7PHaH/zwxqXtLMnX/yQkeipitTIfb07b7oEdz/4fAfw8tO6bfjoi2WIjYn2edn/u1MFXgb6aVCBl4G+AkHc/913343ljOULI1W8N8XMVn/enXfiPrqO+1Kqacz38Ze7sX5rvV+xlMNqlqFt7U8uu0ieMA6n3H8bhuQmdYApYgz5Ex3D3c0UpSWeyk5wNnX7ajl0aqDMUoH11k0whXffYM4yTkdqaLJfgFstY6UfZQNe02BxiaWMoFHzvb8aw3SGaEV+VFLaiL3FjaihAe5Tj92HpevZ0QvpZcfK2oKZ46sxabZvRmbDOXtzoI6zmybvZrfTxm3GlHHL0Oji0huGlWuvwYHqrky1I4/WIGEa2URh3qUDobZQHGGYivRIeydBLYdGDeyk0eEeJoeIuaSY0QoA00a2iImd4WSyXiqWLFEAGJmhdLBYYnJyIDOTjfSOcS/pXMfA9cXPIITtRk/gSzCAF5nlri0pQatT+pJyjGwbxHB92g03YBQNHH2VJsqq2z77DHs/+cTjuRxBo3l/QJxD466xn4V4Z31O/5f1Al4z0rg7X6zenHNaUgROO47Xa1LGoJIMmyxbmSD3FlNqyBRzLsab6b9Q6Nd9Z2RkueEzPp+bSlBPWZHIYaUYIqLw0wU3oVoXSq8v+9/6C3gZxQmJy08uQEqif8xnX++B1a++hm9e+QT1ZDY4l4ihY9Ay6VQXiYlzgpESFUzfqrI1a1D2I73hKDH0Bvz6ekzdLsd3isiJEhlHn0uGSzYNc1U5ke+1aqIH10YC2ja3RDxtZiZG3nVXj0Dlf94jw+ObYsU81w3/Vw4gnh6Qx01NQrXb5NbQ3Gi0thpQ2QP4Eizg5bk3PkFCXIzixSLltMvuxLvP3Uu2tl1qtGHrni5pZ8fPn05/wiKP651GqdLXbz+krPvptz9i194Diu+Up314WvYW+sNI6TfGy7iXfL85ArikbcuVAdxaYDelAi+Brc+DamstpH43y6xlH0oczQdjvaD4Mkhd+mOJwnLxVU/pOKRYtCBj9dvs9Ds6LBoU5sXgmL/cilw2aM501tUvvYQKUkfdvQSSqKOdedNNg6qj1odLclitut60CQdCymAJ9QwSRCESs/UzEBfpOyAi9+vbn+/Bqq11aNZRWmS0wMiPidKj2TTrO2JMApkjZs6SmOl4z5kSAi/vvvEQ1hdxtjy0lwIJSxMm5O3G7GNv8Hr9hhbGoYL71Rm8gy4Mx8ClZ3yAFmNn3K/soKpmMlZtPk4x2HUu02dqkDmH0Zk04PWlzNRPRWZkhi+LqssMohow05R2KVkvOjegQhKOwkmZb+UApoY+LMKOUcAXgjNyx2Qx4aiGgxx3c97I5GTFSLKtogJ5Rx2lmP11F88aDOClmZ35+h07YHWa5ZbZ6CQa+qaRiSNeLP7IZcVv4gfKkswe2s9MpiJNvuKKw769KS1vwiffFjFFrokMGN4fvr1SfHpKCnJjcOaJQzByqH+guk8bD9JCrcanEBq+m32WTi2Exkp5gfki/3yAyD5rYfRuGCeadu5lsg/bAnrtKmX7jBNQNHIGmtuZjf0BvMyhd8b5xw6hJ0Vw2F31B0rx5u/uwf6dla5XhgBHJNkuFaZOpuVJ8yXBaJgCBpeT1VLOpDFht1glnSjIRaLnwwk8ZxBkFoPuJLL8Ai23CvIpHDSb37doEeqEue523Qp+9SskUb7ZHZAlxtKPvbEJ3/5YRT8XA1lOXV86Y/NjUJgV1cWvryA7EmKBUF7teSIvWMCLGNj+8+m38fzDv8eOPSV46N/v4PmHft+RjCagiae0s6KSCo/r/ebux3HF+QsxbeJIyO9XXnASounx4mkfnpadOmGEch/0G/AydoCAl60q8HLQPPDqgQS2BurqdXj3f7toBNXQo/lnd3sdUr8WlnU0ymXPIp663WEF8UgpzMMRjOgMdzItrKW54apnnvHIdplBiVHGyJGBPTF1awdFDdDdRJEcNWq7BxCzrBmYYpmgDIQcsiH5KdT4ejbODYwLbNGZ0cI4afFzaaafS3mtHqu312JHsV3KJIMG+QiNeeGMFC5rdaF5r/zuaWwq7Vts58ScdZi1oGfGSwE7DbWcRW72sR95/OxiJKd8RlNH13SXtZuvxJ5SVyr2+IkhKDymBpbI7k2LHRddIJ9phsnIjshUO5cHxZMQ+IPYzZn13Z9+CrOb0aGkFUUTRGmibKeZZry1YlZLNotIjERWFM2ZyTqCMu4llR1mASoE/MijLCmMD5MzEOJYPtDAi1nio3mseidD3UimF8mMdDhlHtN/+1tkEJz3Z5C0nn4TB8j6cUcTNGSPzmHblJTduxSZwF/Fgd/itl21igRJDFGdfTj6emTyLp42IQUnH5OHrEGQgGSyrIHR+j69Xjol02xRSFW5i5K0NL9YLyZ6MBnJtgptaMQeBhRUyyBTJBRkvfx43m9QbSCwKRLYIHq8hPACnDM/g8lFWUFldLz258ew7fPvYXEzMgsn26V1Itku7abO40fF4/LT8lG2ehVKOQEnz7sn76W+3nfu64fwHSLvvBzKYHIJukZ5SN8J9D4P9e0ZyFLaQva6lT+dSwwDMgpvvpmeJd17923cWYfXP92DDRxzVFTrukge5b2xYHISnzxNFz+qvIwovtLNOOAhOj1YwIuc36P/eRdfL12tRNCLzGjk0NyOZLTTTpjDBLmuaWfdrbenuAy33/dvJXp6/qxJuP2GC5Uq9LSP7paVFKUWGng3NrciIy0Zd9x4IeZMD45iQKMCL10eZ5Xxcqi/4YJ0fjKwXb2+nPrCIsVwrzclMsSM3PVvoa2yWmG5ZGXY0w2G01cmVyjrThKplU89hVoaMrp3hIXiPo0R0irVszdXYHCsU2WpwWrzOnY66UPhNK0qLBWjSbwGrMguL4StMo4makbUNYieV6fQ4KVzaiEv2/HTeVa2xWRBq5E5FEqSkQA1BDwIzAzPjsaIHOqCCb44Sn8ALzncbwvThxp1vk0dTxgWhcLC96CN3OVyIesaRmHlenZYnbCYUWM0GHl8HSxRvvnLTDSMRUFEvl+D1cFxN6lH6agBYaR8T9ZLa1FRl0qJKyxUpEZ6miAK4FK5dSt0NDY3c4Yyhe/cev5fKOPORcwlEyUZiX4NYjaZR3aMgKHu0a2BBl6aKJOqc0piiuexxxEYkfYjh1HPE9ie+JN0V7tvH35mJKjIsNxL/oIFGMcEDrW96foc/bS2HItXlKCixhDQBKRQmu8fNzcLx87LQVxcpF8ARn8/7S2GRzlhxOdJ0/kO11gWMI79FP/8gERCw4QfYb1o+PwVM5GvvKZNMVnfPXk+9oyfhya2E8ECXmIiQ3HNaXkYXRh4E13na/LFx6uw+skn0VxV73KpBCSNOPUqVJoSyZ4jCzq2CfOy6lG/eaN98s0t0TLQ11kA1hDKiVLIlsuZPh1ZNA/3R6YY6OM5FLe3lybv9QTQbGxnnMtQAuWJnEjtqb7f+3offlhXjX0HmrG/tIWMZdc+U1xUKI6j34tESNO9QAAAIABJREFUULsz8TLTIhERaqYHpat5XjCBl0Px+vl6TpoxL/q6aECXs227KqDbC+TGVOAlkLV5mGyrprYVn/DFt2pDTQcFtjennt20DelFPyA/XUuEO1wZ5ImHwIy//AVRTvKmCppArnvhBVjcZmb5ZsZMUsjT2NFWy+CsAQFSnD81dUThGw2c5TKz826G3sifBERqkihjS6iCzmLmLAb/zlQHaWqlUY0K1SJGE4WozfloZFBLi7BaSEn15j2QnBSJmPhwJhwZ2SkOQXFpK3bvb2KfzoaTZ6ZwGwLY2Bv0YAMvqUnhsDC9or7Fu++KHM/oAkZSowjTx39MtourAfGm7Rdhx/6sjg7HkAINJp1SD3OsF5fe9ltotHE4RoYPV0GXwflI+XXUe7//Hjs+/hgWGcw4FQ1NYyXJSDxTxKRSfGCqt29X0o4EYIlITUUVO80WSfuRQVB771YGKlZ2pB1SpGwCH5FMqpC/OUoggRcDJVM1PC4x1FWkReywRyUmKvduOPc7hz5ncZRB+VrkXfTTs8+iZt26LquI1OCoe+9FHM9dLZ5rQEDwxUxAWrm6jIMeU0ATkIQRe8qCXMydkaUAaf4wmPrrehnMy2C2fULWi/M7mV4Ohj9RbhTv1zGbaRJreJ8MmnaAs5weesUVrWij2fmK825CjVmLZf8LfJx0alw4rjsrOCa6ztdh9YYKfPXki2het0phPDuXiGFjYZp2KsKrdiGmajuGRTeynfdtQqIv1zqE772IpCRkk92SQ6l7PJkuB+N91pdzPFjWFVnqtscfh9XN6yVu7FgUXn99j/I8mXB7/E0a7ZbqKavWYU9xUxfwZURONEbnR5Px3JXhm56iRRTl1sWlnbNTKvASnDtDBV661qsKvATnXjsktyqd0m+WFtHLhSaGTtF+vTnZpLgQzK3/ElHNVS7Idt6pp2LYKae4/G05X86eIkKz2DhOvvxydfaxNxcgyOs4wBTZjfwuJnhSBFhpISjSRJf5OqY2iBSortGoGNjW8XebMFQsXJ59LAdLxXGoOQur0RJFKYOTJa7QSbOjkzAkLh0lG+uQGzqMoE0ImS9sUDnrKNuTRtpMh0KRz2i1obxfQhRPl/SUKCQlR+KxZ5/B5RddSiNDDdZuo6aex5EYHYIsgiFN7UBIMIGXuLgwxDIyvbzeuwRI6mJkXiT2Vhlw7MwliI93HSDq2rKwdNUllCrZ6zsjQ4OZ5zTAHOcbK22oMR/jwsaos3tBfj4Ols0Lm+UH+kk0i9eL2yyyeLaYxHiXs+7Kc8zva+ijIilISQRYZB2JpBa/GIt8CNAI2CGJP7r2dWS9zKlTEUOwwsEgCRTw8kv6LNTwGFqLi6HlYEnYNhFOFPUxF16IQvrN+DNTXUYJ1foXX3QBihzXasQZZ2DEwoV+be9guc79fRzyjv9yCZlD66uUvoKJTL5AldysaJx5whCMHp7kH4skUAfQw3ZsMKJF/y/eh/ZnxlE05jMRgqP8Yl7Juq1kpIWQkRbSHmdewzZzD2f4d46ciZ1TjsMX7z6MTbojQbSgd2dnrMfE6GWYdcotyvoFGZG4+vRCpCXH9G57Pq61v7QJ/3l2KSJWLEJrjRNzjo10BD1yUuYfh8btNCymxHH0kGglajyYJZTvDXlvKf4tlBOpjLZg1nbntne/+ioa6dNjY/vhXEYy1COWpug9vbtlkuz5D3ew38Z2iabMe/Y3uoIvvJeOpD9RVESoRwaeAr4wYKC43N43UoGX4FxzzegXgrNhL1u1bf/lgOzXl52qwIsvtaQug4qqZnxAXeWmHQ19ZnnOnJKq0EZLP3jX5YUrsw3T77kHsU4ziqXr12MTX87uPgRCZZ/zxz8iiUkbaum/GnBIfQRIcfxeR9BEGCYtdI1vpZeKeKs0t9KcVgCWZqPyaaSvSpvebsAoKQ3CJPHXjDE8yYSMBdVotHZKAESHPjYxD+MS8/HiM5/hvFNOQEJECl3t9dBGcFaUVSPsGNH9WrnDSP5Nqw0hoGJiBF84Ush6+d09/8Rfbr2exrlabGaMtKy7jv4vo2nGVl3H2X7R0gfJ40WAoKzcKBRV+iYBGsZlS0jlT06qw/xp7xOEcvW+2b7rLGwtGqrUcXwCcMwFLTAl+WYYk2fKxqSQ8Wqns/8ep4NiT0XLlmH7f//bxUhW3rHRZBMK8OJgrAj4In5bFj5LknJU68QMsRHEERAmgawTYScqsc7tYE7apEnK7LGFqUmBAl4uGDMGDQSCYnkcsVlZLp30OBpfzmbyUIQfUb5iLLz8kUfQRE8b9yLAzjx6u0QRWFKL7zVQWd1KAKYIm3fUKxHUIvsMVBk1NE5JQCrMT/Qb0AjUMXjajsHMtDDNt3yPdrK8mCPHZ+iPPXpXeNqWmYNS/bvvItxJ1ldLRuhuSiyWnPkbfPDx89igmxcQ4GXKiHhcsnAIYqP9iL/uRUWK19pjL6yHZe030G38WQF0RVUebtEhVE9mS0oyWsOSoW9qxbAhsYoEPRisE5ETaekFlcVkIgFb4lR2Sy+uZt9WaaWH2A5KzawE2JxLIsH6/Cuv9GpK/SHNvZeuIxNab1OYL0UlTS4sOy2ZzCdQctTUapedu5eUBLIkEzTYXaRXgZe+Xcpu11aBl65VowIvQbrZDpXNygB7KanDH31Z3GFy1ttzi48Nw0VnDcf40SlY//TTaKZPgHPJpCfAKM5SOmYbZN/LqbVvJJXcvWTPnYtJ1O6rMxO9vRqu6zkDKo5vmpppTMtOXkOTQWGoSIepgQkLjYy4bORPAVYE1Oj0UbEpA35/ARV/ziBhXDMiRzdAZ7XPUlCJjSmphQgtBx75xzsoHJKJW6+5nCDhD0yE2KMAPHOPmILTjj8K/371fcXrUGQTu4pKcO1F52LGlOG49vcP0FhsItZs2s7IQSPOP/dibNnVykGkCeGcfROvl+AALzYMHR6HvRW+gS5DMiJQTT8aHU99wfRlSEn5mTXQOZAxGJOx9Ocr0NCqAVVLOPFSHcxprT5Vb6YpHVM1E6mnD05yhU8HoS40YDWwlPGezZxZd49ijc3NhYUDlDa39CMx3NWmp0M6zs6mtnICWspFs/kub+YyeoIvejHmJRsmneBLXEYG/v3NNxhFv65e5oOBcA62jR+PM7mtaA6coih9ch+YHXHbbUgjA8afAds+AlDbaKrrKY1pPFOM8smw9Ic9M2AX8yDc8d7iBnz2XRENeJsVBkwg24gpY5Ow8Jhc5GUnHBT9Aautkd5hZL1oqXt1KhrLpQixTfEbJGp9+GE768UpsauBkxk/xg7D/bu3Y3VT34GXv953P047smeGQSBuK7nuz725AdvXFSFx3fsw1Nch3NQMTUs9k4lalfsiZto81JXVIzM9EsML7LLBQBaRJCYy7Sxn9mzkcoCv9iEDWbv+b2sXGYZNBPBF0upcRohMlKB6T+9cSaJ89LVNlOCJ+bSN3n5tfMc0Mr2os1+UkxqJ6SNjyaz2zChOoIQxMy0ELz//CDaVTOYEHGeselMsjbjlwmo8StNgtXTWgGbUADFedqiMF/U+HIAa+BNn6P75xBdsuHo3mLLZTDhyzmQMn3hxn1kuUxnTe+6pwxTKaC1nKbdQRy+znx2Fjetk0guTSW93lJJVq7CZBlwuy/FL0drL7GMCZyjU0nMNOKf8OHupSLpPo8JGsYMqkvRTT5Clscms/KyubyNA4Sz5sbNUDoaSdVwN9HHNMJPvIYyXGakjMDm5EH/584u49aYLKCFKwVtvLcZl552kzKRdcN3dWPTs3+j6/g5COIv/q0vPwpKV67F+83b84cZLcNVv78fF5yzErGmT8dDTb6KwYAisoTnYuqcRmUyprqdGeMW3gU81GsGUhl2lvkmActMi0Ex5VCMfmZT4Zhw3ZxEZPK7mpnuKTsSmPRMUWv+ZlxphzHZEtPd81dLNKZiBqX4PCA6Ge0E9hsDUQAn9WrbQT8JMDxeXwSKfrzgCGDoa5rqzDpuZKhJG0EO8XtxLlqR/kCUi8iIB0HVMr2gjAJPE1IrX6dk1gu/2vgAvW2l2efnkyYigAaZ7yaEx+8SLLvJrQGUgQ2cZwSfxHXAvcWyTZhPIiXBK2QtMrR9+W1m9vgI//FyK/eU6MiN987PypZZkbD57ShqOPyqHA/a4AQfIdMZ3OIBbxXuw8/2useVwcHkLGZf+MUrMa9dCz/jdcEr8nIu025dUteCrUiY6hsX5Uk1dlzE34+KZtXjleUZhs20Mdvnkmz34cmkZ8vZ/BcOaxbDWVysSRVt73yIyfyiMMQRUQ00YMyIpoNcxlO+KTBrl5lKimEwmX3+cb7Dr81DYfgtBxZ3//jfvBdf7O4nXKY+Tq97eu/tKm/Hc+9tR22R/n8hEoQC9rWTYOcoM9rVS6Ofn/DfnuktOjMCKbx4neyaFs3ns9PWmWFtw86Vh+Ne//tWbtQ/ZdTQjnx+Qc7PtvHpA9uvLTlXGiy+1NEiX+S3dwf/1VlqfENyJeesx65ieI3B7qp44slzOJn115rTsjoZu4yuvoGbFCpfVkhhFOuG66zoGf0I/XUbadyNjQt2LRJVOuOCCgDbKg/ESuxvTiq5eABX5CDulzWBWpD/2j8Qom9FAoKWO/icG+p4IU0X5KAa3g6cGQmgSm3tCDeptOiUycFrqMIxPGoL773kVt/3mfOTkpOGtNxdj5879bLRpRLhmEz5/42E89tx7nEEbguOOnIH1W3fjs29/wP23X4PLb74P993xayZmxOPFtz5FXCw15WmjsGU34wrLm5FLF/yv//dEQOOkR46Mw64ydjgVMVTPJSslgoaNnM2hllnKnEk/IydTnp/OGRyzJRrLVl2D6qYwnHahEZYcgjJMA/FWkiyJmGmdSoaMf4MBb9tVvx98NbCcM3UNlBGJZMi5xBDgttIDoc1D+pGZILis01pS4rJOGAeXhSedBKOTcaLi9US22WsEXiwbNyLDyUDdn9qqJEhiZVT0NZyxdi9hHFyJBDWesdf+lG2ffYa9jO91Z/zINqbfcgsy6P8Q6Jl3f47vUFtWjFWX/nSAiSRtbKcCB8AIdnD0rCwsmJOtTPIMFEPJYj2ANvN/mHDkCo7DdD3CQkb6PejXsS+kYdqWM+tF7onb2Y/6BRO90nt5g1Rxvbfog/TAjTcihAwy+YSS5SaJPoGuuzUbyvC/1xcjunwjsPF7NJe5gpyKtHHqPBgamjBhdDLb7rBenlXnarLNcJpt53AQn8/3hcjY1ee4z9Ua8A1sf+YZtLBdYESl08XTYDTNzKP5Lvd2L361ohRfrixFS5u9Iyt94Z176zqAljC+F46bkkwPGA19yzy/b1Z8+xQ2lwzneKmXUwKWJtz8C50KvLjdHSrw0vVxUYGXgL9CDp4NDjTwMm1CCs45ZajSAXI0ds2MJ11L6qyl2dWbYswNNyCL4IujFLNDsZXaZne2Syg79HP//GfEH+LJEg4PFbsxrc0u93FhqNh9U0TyU09zWvne7p3iiE+2RygPJkDFnycnbkwTYsc2ocVqwASCLhOTC/D3e9/A72++ADqCTo88uQjP/fNOAgphOPni2/Dflx7Ev/7zLgpo2HbUzCn0ctmHLxcvxf13XIsrbr4f99x2PSKjovHKos+RGM9o85yx2FHUhM+XHsDJR6Tis/8GBniZfeyvMXIkmS5lBgJe3oGRtER2PsnaqW62dyjiovRYeCRnUzU1LtVVXDoPG3bMxPHncbvZFGP4MHkZb43FTPN0REd0ZQ34cy3UZQ+NGqggGLLhjTe6xETL2cUS6BBJkVl8W5yKmOma6c21/4svukh00vg+j2essztT5vmVKzGcUqNeztErrkZ7uG0x13UvI887D8MZ+eyto+68XjNjspczuleJqXUrmUw2mXzVVSobLAi3uLRtazZW4vsfS1F0oJUm6IFD/yPCNTjhyGzMn80I6tjIARlstxqeQ0j4Nt6LnUCmxjaWg8urvM7iu1e3mVIMhfXi5oXxBz5Lv+Gz1Fvur0AfT/BZ+rs8S6QNWfks28jssrGdtNGrKYxstzAyvgTA6A1DRK5xG98Z67/4Hkve+YrMuUokMvGpacc2xdvFuUQWjIAlNhUjc7SIje3bRICG5xBN36c8gi15lAhqo4NrzhuEx+Ow2mQ92559bHusTl5GUgEp8+cjl+/0cN6X3soz72zF1n2Mlm438pbJxp17xVuKE1R8taTFR2DexAQGOXiWdgdCTn7L+ZWq1MjtQmlGDBDjZZfKePH2zKjfB6EGBgp4ySRD4EyyXCaOTe/SWG8nmFK2eLFE13SccTQ751MpM3JQCqWxlqQNTyaHBSeeiDFMl+hNJyAIVez3Jh3pPg62ipkaVZH8NDbpKfmxgyvCTJG/iZ+KgCpiBCupPHZ2iniU2CVAh3vJpOTIFN+CgrgMTCDw8tj/LcJvrjsHDbXN+Oiz5Xjgz9dh7aqd+MP9z+Cjl/+JZ179EENy8ikpmoStu4rwHT0d7rn1alxz2//hzpuuhTYyGm9++CXiyXhJzRiDvSWkca8ow8Shsdi96nmsKe6b/ndizjpcfv0d2KPokb2DLslMOwpjEmlVU+fFnjZmA4blL2U/opPCbmO86Mq112Ly8eyc5NTD5kPsZpSVzACCLrERvaTVHu433yF6/iuYINdAlqF4srgMihjJHMqZ49a9e7uceTwHZ3VkvZRTcuS8nsj6hjKhzuRGIQ8W8CJmv3PvuMPvQe2a115DOd8FXQoHonPpM5BEBoBaglcDFrZtK9eU4bvlpaikcbh4NQSqJFFecMJR2ZhNxm1UFF+m/VjM1g0wWN5ltLQrWGkz0vQ5rGfvii6HyT6RjhIGhfXilAATUODFQ93YBIghM81GaY6toAAhfBbCBYhpZ8R0xx6Rfk4d3xUlNAcu/mElNq4/QP80E68BDW3rSyg9dPW/CSFzLpJsl+xYJhr1NsGIz6vIiZJGjUI+DXMzKUX0B4Dtx1tD3ZVbDUh/eAsTvPTCqnRiXIoB8kgJ3KCfmDemkvgePfnWZpRUdbJmdARfdjiBL5PYl8tJ1Sq+fe5FBV6Cc1tqRjwXnA172apt1zUDsl9fdqoyXnyppUG6zEAAL6cfn4cF83Lp3h/R5UVp4IziT3/7G8xuszbDL7kEedTlO16sYnK4/b33OuJHHdUfzlmLufR2ieUg4GArzrKfNr3dL0XojiL50bXZk35E8qPIgdpo2EowpUl+50cBU5T4ZDtLRS2+1UBIjAl5J9QimikMo5ls9P3/1mLNCgItt12Ip5/9L6IjtdSJF6KGiVxSt6GhYUxIyMXUCeNprluMFT//iNuuvwK33ftP3HDVldTeR+HDL75lGlIUYpNG4ECFDqs217KTrEFEzVtYtbdvwMv88Vsw7uhfc2BBCouXEhcdypnaEJTVd94QEeEWnHrUewgNc40qLa+aisRhR8OSXw0NZ3q9lXACNbNN05EUkehtUfX7w6wGagm6rH7hhS5giVSDeL0Y6NVidJuVlCjWSM6QV//4owLASLS0oyRx1lx8XSTlyFGCBbzMoLQ2nYMubx1050taRb+xNfQXcGdWyjJDjj0WY885Z9CC/IPt1m1rM2LxihIsXlmuzFIHsi3MoMHmKQtyMX1SZj9eTxtaDI8QPC/hPdn5HtdYj+Dg8ny/AUILmS06et5FOPWfgg28uN9DVoKpNoIkNgFfxLya6WGhBGVC4uy+OmYCtmVk5xzgu0DMuvXNrZzkqOOEkp1lkB5Pn7LtXdkuUYWjkFZIfx4yPP15fmWb4vknqWNKOhE/YuDt7zYG27NyKB5vDYH7YvqM2dx8xlLJYMw5+2yfWC8/b6rGu98UsW/d+bzp9WZs31PHvjfTLVlxC6YmU1KKLgw7FXgJzl2lGT5AwMtuFXgJzhVVt9pjDfQn8CKxf784YxhysuK77djs/fJLFP/vf7A56TjD2WDPoI4zsj2mU4n0pBSpycPM6tBTT8VozqD25yyGA1CRipbfjUYz6hrshrQNjYxR5k9hpAhDRcAWYalIbLIjMtnhoxLIGE31tu+sgeihLexsGZEak4DEiBhGSccgJiySnigWJhKRHq0JgbWW/28LVa5PPa+dOOHLJyYqjOyWCOXayQwdF8X+qjZqgG3Ye6CFemEzyqp0iGTkc+WmF7G3Jg4xidm9qv7WhnIMz2jFrJNv8bp+JCMQU1PCcKDW1YV/3NCdGD/ia1oKd8aUysaMYVfDPIp+Md7ZuAizheII41SkaVO9Hoe6wOFZA6uffx5VpH5bnQAUqQlJKwrlzKOO4Ip7SeAgrI0dZvHkquPHrO+8R4X1YhEZT/tIOhjASxYlBZMvvdSvQbW8z5eTRdDgITUvjCD/PEpaYzmgU0v/1kBNrQ5f/1CM1RtrlAjqQJbh7Kecemw+Rg4jg6sfzGQN5qV04vqCYLmrjM1muBsR4al+92XamPII9o1C2p+v/gZe3K+FjSwTG4HXVoIdJezXVTB63iTHRkm4gB87OOCtrrWz56IjNYzFpveNO9uFrJrsoxcgO46OZ34kGAngK+yWbBp5Z0/xPy0qkPeVuq2+14D4f22m5NPIe8iZES8yt9H33YdoTrj6cn+8+N+d2LCzAXqjc+KjBdt315HpYkaMNgwnTk9CVZ2r5EgFXvp+DT1tQTP8P8HZsJet2nZfOyD79WWnKuPFl1oapMv0B/Ai/p2nn5CvsFy02u6pvDITskpSI9xMGPMIpgxzAlMUb5d33oHFqeMu1R9GYOZIUg5j2PkPRHE3ppVtCjOlRWKTyU5R0n5E7iMfGbA32lkswloREKVD9sPfD1UflUDUc39sI2t+HfXcVoTyZtSGRvBDerRcFP6f82ewmvn3nRmoq7PS2FCDaNKdY2LC6eWiVYCXKAIwsVHhlBqFKr45ny47gIpakXeBjbcd/Pjxi8exqWkO6NTXu1MyNWBi/ErMOummntfn/TQ0X4u9la6gi6QznXrkRzxG10FvdNwYNObMgTHSyZSumz2IEfERhinI1Gb07hzUtQ6LGmhkx/enp592McZ1nLjIivSUDjmb5sp3MgiKohShZedO6GioqzBf2t/hifSHSeEAydzu6xVo4EXx/frLXxDPNDN/ShHbmi2Mj7a5AUyyjZHnnovhZLz0J8jvz7EfDsvuLa7HF0uKsIu+DTp94AAYeZdOZgT1qccWkAEZG+RrzH6E/lH2jcpIzei8ahrrAmgsp/g0i+98rS0ECXWUxkWQeSZlIIEX8YOp40RZOQHXiuJiWMT/iR0jm1QwP02IQK0lAvrQSOg5GZIYq0Hdtq1djOeSxo3FiPFDoTF7b8Nku1pKHoXdksNPAn1c1Gf00HkblH/3Hco+/xw2Ny+xtOOPR86ZZ/rktSUTaY+/uRmlNSaXvrmJgRLbd9dyotSMwowojM6P4e+d/SwVeAnOfaQZNkDAyx4VeAnOFVW32mMNBBt4yUqPxCVnD8fQgmSvjV8pqac733oLNidARSii08l2iWs3yhW2yzLqPJupY3YvI0g1HMGXr7dG1j0+uVVnj0oWZoqS9sOP6D5bCKA0UQbU3MzvKPcRL5UOQEUxqVV9VA7Wx0vAvhD+I/07AVtCtRZkHFuD5sgWyoRC+WHnjCyViHB++P9wMkgKbZQYhY5V6N2Oe0hmTzzNoLwkMya7Gpi20TljsvLzx/oFeBkxJEpJO3IvQ7MP4IiJn8Bi65RsJCVr0JZ0GmpjCQZ5Vxhhqn4C8iJVv4qD9b4+mI5r/euvo5z+DBIH7VxE7qmlz4MALO4lnpIiiWU2VFailQPDes7MO2RHQxcuhJXvfkkNCjTwMvKsszD8hBO8tg3OxysTAUs5u6qT2VW3Esn2aB69XSI9RFUfTNfocDkWiaD+Zvl+lFfqXWax+3r+YaEaJiBlMII6D/FxkX7dP/7sW2/+hCzFZWS96JxWo4Gt/s9sp+J8msV33l/bk0/CRmAzlM/mQAAvFoKsZXzOy/icNzF+3VlG6DjONso7ZAAspqYyAaJJjIPe1IbW+kZYKfk1k41q5SeCcuDxZ5+MUL1z3XStXQ1BnjjKmvLmzkX2VKbwqWa5/tyCg2ZZK1lTmx58EKYyApVuWsPRtCmIIbjuC+vl581VeP/rIjS0uvpFiafizn31Sn//yHGJlJGHQt+eqqYCL8G5TTRDBwh42asCL8G5oupWBwR4kQHvScfkMpY3T/HX8FYEDFlNimzztm0ui2awER198cUdlN9iOvRvITjjieIuSUZRYvKmRB/bX6bys6qmjfKRNiXVxyH1aSTI4kj7sYgRbTuIYk/8sYMqajn4akBYxspkGX+GslMcwj/I/0XqExMdRqZKGGLISokjSyU+TouEuAgkJthZK5bEVmwJ2QRTJHW83dCVZ5imICMkzSvFvKSiBc8s2obaps5Z1v4AXkYMiWwHXbqiKAtnf4O4+A0dFy0hAYjKSsb+sDNhCvPs0u98hScaxqIgIt+nTsvBd2eoR9TfNdDKBCMx2jUw8ce9xBJgMZK9YuQyziWUoGYUvR90BM6tBNHb6EUhBptmDhDj6QEjKUdmzo4HEniJpsRBDHX9HYjt/Ppr7P7ooy5JTHI+E5hilEf5gjeQv7+vyeG8P5mt/m55MZavKkd9kzmgCUjxseGK/8vcGVnKjLovAzt/roUNTFYxPIEIrWsSncZ8NgPr5vk0i++8Pyufr1b6MEXw+esv4EVYLC38lOl0KKd3i4GsN5ubAbfjGE0miyLHdmYCh+SlU9Ln1P8TXW9oCDInjUd8ViYN4UMRIvHySpvf6YEWSoAlfdIkhd2Szkh39Zn0584bnMuWkvFS8e23sLkln6YTvM8iQ96XhCM581c+3o31O+qgc5pAc9TITkrg9PRaXDAlCbUNZuVeVYGX4NwvmqHPBmfDXrZq23vdgOzXl52qUiNfammQLhMMxsuY4QmMiC6gl0uCz41gDemxm599FlY22s5l8l13IZkddQFQHGx3vJExAAAgAElEQVQXZ28XvcEM6XBlnnQGwkdMa/dSITuFIEtdAz1V2Lh3slTsDBVV9nNw3qzCTGlnIHcwVYS1kpQQgZREarUTwpHEnwkEVJISIqkHD1MkQAmUA0lxsFN66hRvMNPRHmWwhLnKdBw1EoFwzDPMVJJ8vHWu//Pedmzd24S2dp1wsIGXUQRddpeTdeUhYjojuQ7HHEGzaZs9gj2WObzJ+UZU2haiPjwPNk3PQOI44ygMCy/0es4H552jHtVA1cAmxtceIBjubjyrsF6YINSyZ0+XWckYvs8tHJDpy8uVwzaQMl4jni989w857jjKKyx47ocfAhYnPfnXv0YuB2b+FD079D9wVlWMgt1LPOVSs2+7zefOvT/7VZftew2I7PeLJfuwbrPd/yWQCUjZZPCeccIQjB+d6jcY4u3M2kxvc0ZhLUJCnfy5bImcZLoDUUzT87foX3oJlg0b8EdKMwIWJ+3hIKwEU8voz1TB57iBLAQlTr6HTpYkVNU16J0tOqBJiCVTiUw4t+ctKjYKhRMnwMx3hUOeZOOMgoa+SlqyW3L5vpA46Lg075Ml/tafuvzBWwPS3mwi813uC2fWSwhZT6Po9RLjo++WsK4efX0zDlTJOMH1fGXyVdKOEqM0GJsXyzGFRQVegnRLaAoHCHjZpwIvQbqk6mZ7qoFAAi8ySD735CE4anaOz51SBztlMzXJVcuXKw22ACkG+maEDx2F6JN/QU8Vs+Kb0rZzPeoWfwJdk47GpzYmylErzPFkaEIyTAuuIGXQBy2Fejv0ew3YwRTKfRzASjtrJY4eKvFx/JCNImyVmOhwmtmGI1b+HqtVmCppKVEdgIocuDcwxNvJ0X0HSw0r0BLR2i0YkWpNwXTTJFK8e2Zq7drfhJf+u6OD9RJM4GVMIeVFBF3EU8ZTOWb6MprtruJXNATmpGAKQRdzWByKzBfBFNHNSu0bGm4owJjwUT6DpN7qWP3+8KkBPdkpYj7bJrRvtxLHJBMjO8giK3IpnLmOIXjRun8/+LJXvmrj7HgtpRFR7DBnTp+OZzijOZwJLcQPe1UEftxD9sxdN9yAKWSnCEvBn7Ll44+xj8fgKTZnxq23IoNJTGo5uGugqKQR3y4rYVpJA9NKrJx0CRyLVfxfBIDJSIv1yo70tZYsVkYom54n66XedRXz5QjTTPZ7P1ZKfFqfegp/ImsrGMBLG5/jUsqJSjn4NZC55j5p5um8pb8nrGOj0XWUG5qfgXrxdnEqIv9NHzlCeQc4th1CaV9CZiayCeqm09MvnJ0LG5lyEmMdyp+hBHVDBJhxY8X4eg3U5QZPDeznfV29dClsYsruVDIpK80kIOfrO39HUSNe/mgn6po9e0SJ+fPo7ChEUZb+7WdPYlPpFBl09K6iLI245fxKPProo71b/xBdSwVeul5YlfFyiN7sclqBAl6uvOZOJbEonR0RoXo6S32UNBg2hPKznik/YkireKrQP0WJU66sQvP7L6Cxsk4BXET6o/SRTrwYFSHZHGzS8FRjQdbWD9BczM66W9EeSQ+LeBozcj219F8NuPuoCMASRZmPMFTElDaWYEpsjMh/BEyJQBw/CrjCj4AqUuRe6SuY4u8Z19jqsNq4DgZtV58Ux7bGmkahAHleAcQn3tyCPQdaFdZLsICX0QVRKKoyUf/u+f5OjG3FifPe5sCiQYIikDmUCUxaK2qNC1AbNhLWkO5NJ3ON2ZgcOt7vTr2/da4uf+jWwDaCFEVLlnTxcdBwJjyag6E2yg5EVuRc4vh3M9uDNif/FANZJgK+ZM+ciReWLcOw9ev7BLzsY4rJy0zJk9lwf0oLZ92XPfAAzG4detlGxrRpmPrLX6rPiz8VOsDL7txbh6++34+9Jc2cwAmcAa+c1olH5eDo2Zlsz6IDAlzrjC8w+ngrt9VpIquxEVgw/sbrRICnatbTGPr2f/4TN69di8xeXocKrvcEQcy/z5qlyH0a2DnbT8C1miEIYpbrnEDpbReNDCRoo3zDuYSQ7aLTU5boFIEdSomRsF3yxo6FhQBSKMGUTIIr2QRmk0Ry5EHCJIwYMfO18XnX0Kxbw3dMCAGaUDJjpJ+hSpC8XZ3B9b2J7cVmsl4sAuw7gaqhBORG0RcymmmovpaPvivG92vpO6b33MeqqGzGZPbDPlr0ODYcUIEXX+vV1+U0Bf/2ddGALmcr+lVAtxfIjanASyBr8yDb1i233ILHXmOnOITT5L0p1hZcsNCAB/7vQTSTldJKIEXManWMS9axgZUUoFadBbX1eiX9R+h7dg+VTh+V/Lo1sK1bBoups3MekpqBpvmX0dzW3lFKa9gMbFgCU5vB5SjDktNgOuYyNHb6ifbmLNR1nGqg00eFLJVQ8VOhBIh+KuwLUfJDJkq8pP1E2tkqlP0IyCKeKkkEUwRkkXKwzzhtsmzFfusBmMO7Z4McZZyFRCYU9QQMbd7dgDc/26WwXoIBvAzPjcL+Ws4QMnWpuzJn4irkZq1AaLgJucMIXEZSj2yNQrHpUuh7IO1kmtIxPcT/mVT1YVFrwLkGTPRnEcPz1tLSLhIDRVZEVovejRETIqwXMmKEKSMSI0cxivEut/c+AZmCn3/uE/BSR7P159991+8B19o33kAZZ1K7FA7e5vzxj0imcbBaBl8NbNpWTQ+YEhQRKA9kApL4iy2cn4N5MzKYhOdqwOuYgJLakt/dB/+O76WNUeTU1m3Qm99CuJZyHSc3dJvxRpp8DnWZ1HJcAce67v+X7WkaGnDjSSfhd3yW+gK8PD55Mm4l8HKAg9w6PrNKOpGfpVWCCthHVMx0nfsbeWlodIprF3asGN6nMeUslfHA2dnZyOJgOorvEZEh+lNEBiVgjIZJaza+i0KZcCTMmBACOP0RFe7PsarL+l8Dxe+9hxomz9nYbjiXnIsuQhr9IX1lvci6j7y6CXvL2hQ2vacSYjFj4+InsWIXZasq48X/i9XDGpohAwS8FKvAS0AvpLox32pAAV7epn44tJcRzJYmIsG7ceQJN7aDKWJO6zvzRBtiRt6GRdCV2vX+HeWoM1AdP0J5CYbbjMjc8j6aD3Sls0ccfRZqY4a66IV9O/PDcylXHxU7mCIdHWGniPQnhgwVkf7YZUA0pRVzWgIrDnDFFx+VwVCzhCewzPgTmsKayAjxfL/G2WIxyzgN0dqe9fWPvrYZ+8pbseSjwKYaFWZrUd3M+HInyb973cZGGXDSvHf4/FajYATPKto+U1pP0Kg6dDLTITzP8CabEjFDMwWRjPBUi1oDfa2B3d98g92U5rizRITlGEdZjjBbJLHIuURzQGWjBKhNJEdOxczo5tc4ECv86ac+AS/Nl16K+5g8JLOhjsGpM4ja5annco0cVIrs1dzekZdlHJBnzlFHYSgp7AJEy98c6zsPrh1/d9mP02ys8nfH/50MvjsG4E7blSpxB30dx+O8z46qaz8ux/87lnH6uzIYbx/ku1R6+7E4zlU5t+6kOY7jbt+WfdFu2nxPJuZuy7ocj/vyznXlVm/KuThOoptr0gWu5nI7d1Vhy9Yq1HEyyEyTV5uVg3l+Qmz8XRnYu59LZ63IIXTjy852IhRjRyaiIC++Y1Dvfm+4r+x8jRz3qcG0hCB6Hf8r7+72Y2HinsY6wwUs6Lg33A9KwgXa60WO/G8ERW2UcWeJMW0vSjmZX21kkFzKiGYbmS7S0dO4pcl422xbmwmNZDl3AV0kyaitSZEqOUoUwavYtFTMOeUU5JEpF+KWmuZtXz19b+X7xkYgxspz0dAAPESkSQRiwvg52CeL+nLeh+q6xtpabGEoh8J6cSpasp5GSOoc07V8LWVVOjz1zlbUNHYP7q3/5jFsLolCTGK2r5t1Wa61oQxXnxqLx3jMaumsAc2QZwakOmzF1w/Ifn3Zqcp48aWWBukyitRoUUafENyJOeswa8Gve1UDWU07ELHuaxcmSwidQVsXXof6Fnv3Ib2GjJjNK2HSu7Fd0jJgPOpSsmJ8B3p6dZCDYCVHbLIjQllkQJLwI7IfJdknnmAKkxmEkRLDvys/Ca6I/EfYKocKoOLPpWqiEe1Kw8/QR3YvOSo052OMbWSPkqMte+rxxqe78ck7jwYsTjo/MxINEmfe1vO9PXX0Bgwv+B75I/SwtoMu5INjv/EK6DgQ8FQSzQk4wjaVmmXfOyX+1Ku67OFZA9/TjLaluJgDWVewL450f+Eytgkjxq3EciZaTymBO2ATiFSjvZylv3rePPtYzwPg4A5qyP/FHLTeafbdcbhh9JbIP/ZYWNvlR86AjPMTqgzR2wfCnoAdGXg7gwHdAhb+3EJOgIQDWOnJ3NT52LvbjbJM+3adB/HOy3dXB7KMM4DjAua4bKCzhlxABKnCbg7MGfDqsogfHi5STxXVrYyf1qGN7Fw/cYQer050dCiG5MQimUbwvZG3WK1VnBYo5rpu7ZJlKv8W6bc0NxDPkvglXUUJoI1AiLALbGSpKYkyBGI0IiMUMKab+pcABEmQ7PK1PAs5qWjcsV25Y0IYG52YnID4qEiMYhz0CMqLPEmK/Hk0vC0r0ikBY0BZio0MPA3lTALChBCUEUZMf8ugvR2v+n3XGthLhmLd6tWAWzBH/tVXI4X3kT/Mpm9/KsXny8vIzPI8YRUIVvMtx+1RPV7cLqMmf4CAl/0q8KK+UwagBgYSeBEZS+GOj6Cjrt+lPzbjeNRlToKBnhYRVh0yNi5Cc0Vtl9rRLjgX1ZFDAtppGoBL0OMuBUCxpyo6mdPy/2JCm6h4qQiwYjeoFR8VYajYU3+0Cl3X2UNF7UR0rerdlr3Yad0DU3j3ccszjFOQGZbeYyf6ibe24qVn7se6+jkA5Um9KqYGTIxfibMuvRU6mg82tvW8lTA+P6cf/Q6Gji2GNYqzie0jnCbTZFSGzILFA9sl0ZKAGdbJiA73PyWjV+ekrnTY1EAJGSpbSP1WUk2cigxy40eM6CIrkkUihfLP2edWxt86l0ANFn9JeYSvxcQBZBVTYJylT451sxhVqyVjwB8/C1/3qy43cDUgBv0V1S0KAGOgT5cf2I3Xg06gJDcvK0ZJ3fMXgDFaNnDAKPIJJwhKWC82u1+JPyVYz5IjGEFYMALCKCan/KnIgdqBGImNbmDCpCeFUAjZLm2GViaitUEbFY2kaHpChWkQTpBz7jHHINItKtifc+71suJFKIwYkSeR5SNgTCiB4zABZSh3GghPul6fy2GyoqGKDLbHH4eV0enOJYqS0GG//71frBdZ/2myXrYXNXP80bUCVeAlODeVCrx0rVeV8RKce+2g2OpAAi8p+gOIW/M/GJs7Nf4aNnjGM25AdYt9tj6z8keYtv4Mi9tbMCw9C4YjL6FBb2DN8vrroth9VDjLw5hfMZJTkn/4N4WZQiaKJPuIMW2UVgxq7ayUeDJWpBOXnmofNKvU2MBcrR+Nq1ETVgtLNya0hLDsEdPa7qna63fU49pf3YhVNbP7BLzMTP8JC865BbXN3llc44dtw4kLv4YtmjOPTn3xA/rL0cLZQ/cSb4nDEZw1jYlQQZfA3DnqVpxrQAZiknDUyGhou2Sjs0TTW8FGv4U2MmK63JcEZXSkijsDNsEaLHZ7xTgLUEvwRxg77kXAoRxG1poHYiCo3mL9UgNGoxllla2orG6jnxbfvd5fvz4fV1JiOHIyYxRfNF8nPyzWMh7CAU66OI/+yMxQWC9hPm9HDrK/nqUOIIYAjIAwFj4vDQdqYKEvn03i+JzyesMS4hGWnQbdXjJ7GIoQq9UopvtSP8NpYD1MpEAeDHR9rvQALqhIk8S0l+8wDQEYcEAvPjFhTFdSgZgAVnQfNrWH8tCGNWTGu8nSCplqlzhunF+sl9oGA8GXLThQ3RV5UYGXPlykHlbV5D0dnA172aqtpHdKjf44WBV46Y9aHqB9DBTwIsDD0NLFaNu41uXMbeOOQMOI+aT/WqG1tCBt0/toqajp2hk+7nxUhecxyWWAKq6b3SqAihJl2A6sKGwVKAwUh+xHfsaykyEgih1gsccpR0XaOx6Ho+xnIK9iG/RYpv+R0hxSTBQLhq43VZY1A5NM4zokR7KMpG01STqXzqT0KW+44SYsZSKmNsa/FBXHuRtaqzGpwIIpJ/7Wa3WEks1yw5UfIjxpO2xOoIvOMhJltmMZJe068I20RmKOeTriInx3+vd6EOoCag241UAFI6A3sBNsEi8It9KdrEhLYCOMJpqte/Z0rNFfg0XHDttIU6/dvJkAv6ucVb7PP/poBdd0B5PUi3/o1YCOXiSlFS2oqaP/S/ckSP9PnO1KapJWkSBFka3qDYCx2cwwWTYjNMwtNcA6lE1Uhl+sl/5+lhyVIzG8NXUG9uMMiLLoEWUzUdEThdQ0AhhsMKv2bIeptk5JQhSmrtRJBFllc+bPR2QvzHv9vyi9W0PkSQoYEx+vsGIgrBgx7hVARpUn9a5S+7iWnsD9VvqmWOn54lyieW2G/+53ZH9H+LWHNVtqsOjrfWhocZ3YVYEXv6rR54VV4KVrVanAi8+3z+BbcKCAl3hrI1J/fgf6Bs7WOxXbmb9CuT5G+UtW1U8wbv4JFqMr8hyekQ393Is44O1f1EUYKg4zWnuUsh1ciY8NU8xnHcCKYkpLdooj8SeJWm8pDkDF8fvgu1sG7ojdwRD3tAg5Mue/GUlxNpqsSsS4kbNtJv5uIq3cTKROIsvFtFn5GzuAsmxDVBXqk0vQrDHQZ1HSJWyKhE0ib2XyXn5G7MiHoZxmgEJJ5/4U0E8mR9snSH/46FGsb50HRCT1rqKM9ZgYvQyzTrnF6/oXXbwHWRn/YwfQtWNeYTgPjdoklwnbcGs4ZpqmIkWb7HW76gJqDfS1BlY+8QTqduzoIsuJ5gwxR53QucmKZH8iRdIzxtlYX6/svj8HizYO+Kro66InZd29xHIwlTFhgsdo6b7Wk7r+wVsDjZTHHChvRmMzQXX/gnR6PCmZmMnLiUF2ejQTV3r2EDFbhX1VQdaLMwIUSfbIJL8G+P35LDlOXuqu6ACZL2xDw8m+DM/KgaVwMtqShiFUr0PO9g9g2L4FcRoT0iJMCGFikTS4o6ZPRyH9VjTy/8FS2uVJNrJ0IPIk8YcRrxgyZCS9zV9p2GA57YPtOHe/8goaGJsONxP3YQReEti++Hsd3vlyL1ZsqFH6e46iAi/Bueqa3AFivBxQGS/BuaLqVnusgYECXgprV8G4ZpmrEWPhaDRNOR0tjJ+OJNsldeN7aKns6u0SSbZLJdkugdJj20EUB0vF7qei4SclkfIeYaQQRBGGinyiaEyr/E6WijBWUpPtBnqOGSxvM1mH0u3oiRnSEyAiJoZtBD3EbM9ADxMHECI6e2GPCBgigIf8LgwSMwET5e8EQswClPCnso7T70b+X9YztoMpOv4U1EGZp+gARezafQdA4rhv3P+fekQZNEkt5L94nuq0mUMQtWEUamol+rPrlVz5Kc11dUcGHXg5/gx2UId8iIgoMSXsLEZLFiOyz2JEdufxa2wazDBMRlZkb8NED6U7Vj2X/qiBqm3bsI6dYFM7iOK8zzgOTARgcWfEhHOmO4IDlVbKlKT052BRR0lEDZk6nhgtQxnFa2k31O2PulP3cfDUgLRlNXVtCgOmtY0GvAEEYCK1Icgn+yUtJcplQsb57G02PUzWLQRZ3GLtrKPJeknyeSDZn8+SHH9NnQ479zYiPJqeKIVjoM8ai1ZthtLmS0lu2onwTd8BRh0mjk6BlnJqKyUiEQQpZp15JiLE848m1wLGBNtcN1h3m0iTIEAMB/zCiAnJozcPQVzpK6rypODUuo7m7dufeqoL6yV+/HgUXHed36wXuV8ffnUjSqo4GddOfFGBl+BcO03OU8HZsJet2kpvGJD9+rJTlfHiSy0N0mUGAniJJqsga81baKtyBVVsJ16CytAM5SWXXbUShk30djG5DoKF7dI252K0tHn3drH7qNiBFAewEhkRghRSfpMStYgjgCJJP7E0dROpT1ystv2npP/YqYkOlHywASqeABA5H09gSXOrSWGBGMj80LcDGBYCHsIOsQjoIUBIOwvEDozI3+1sEfm7ACLKcgKIyPf8KWCKGMS2EWRpM3Db/N0Z6FDIIu1giOO4Ov7W/p0CnPTjc6XRmpF7VCmaQ3RMlfC855B6zsZtGYIGD95C/QG8zD/RiqzRO5Ad9g3AKGznUm08FXXhObDRN8hRJuvHYUhkfj/WorortQaAFWS9NOzcCaubT0M0Yz41pOg7y4oc9RUvoExDAyQitL8Gi2bSGWqF7eIUZ+s4niQOmpI4e21xS8tQr+/hVQPSZpYRfCmraiXAb2dCBqrEki0r8iNhzDozYh3bN1sJQmhq+F0n6qNhyLrN4rtvRX89S3LMLW1m7KsPhSl/IpqThqPVFuXCGAphy5q3+2M07d2LCaOSOHnVmaw3+he/wDDK+qS+rUxOMhcVwcIYeghDjjJEYcEIGONvlHWgrlVftqOkJwkYwxQ3AWI0IksSMEaSm9rBmL5sX13XXgO7XnoJTevWweYmGR1xxx2Ik+hwP42p122rxTtf7UV9s/2hV4GX4NxpKvDStV5V4CU499pBsdWBAF5ym7YAq76B1QlU0VD32zz/EnpmWBFtaUbShvfQWlXXpY6ijrezXSSU0572Y2erOH4KsCIGtaIZtqf+iAQoUvlIvKP8XcpAAireQBHH99IRc/yu09tZIm00AZSfwvDQ86eAJSKpMQpQIowRDiQEGLGDI/af8lFAErYdeoIgAq7IutJJcmd9WPkHhc2hgB7cv/yq/E1+tyMhB5uvTiAfJG1mC9InV6PB1n2kUMiuXBhLEwgouYIzwQZeZs7VIG1GNXKxCtHa9TztzhGA2ZKIYstFMEV0ApUT9GMxlKlfalFroL9roJpSo3UvvwyjB0AjjmCGgWwYh6zIcWwS2aylaWUr1+2vwWITQZ76rTRmcishjJgtOOEExSBULWoNSA2IAW9JOf1faslEYVsbKMatbFsSkHIymezDforz4NBqo0mtdTslK27eQ9bxbJ3jfBpI9sezFKLlpNWw0Vjfkop9xgy2jZ7vmZTmXfj/9s4Dvo36fOOv5G3Hzt5x9iJAFgSSsCnQMFL+UGgLpYywR8IIYUMZpZSZEEaZLauUVUYZZSWsACEBsjdZzh6O4z0kS//nvdPJJ9mJFVlnS/bzy0eRLN397u57P53unnve901e8Ln06pQknTvWJKvP6NBBDrv1VknPrJ34Xc8/NPdSNQQYX16eVEOQccEVo8l3tZS1O6bJeBpprEMA0DLWfgjRKsT4IcIk46G5YqyiCYl2s6+RyO11MSUYGyueekr8YW7LNigr3fOCC/bZ9aILe/Wj1fLj0nwprfBTeHFoJ7u6Pe5Qz3vv1r/5qiZZbiQLpfASCaUEnaaxhZcUJAXtifLQ5Rs2hRDzHzFedrQehLtJfsnd9p2ULp5jWL+1Qm5yEkoMprgNxbr96RdJCn6wNCGbJqnTMsrGA3lVWkNwybQlrtuXH666xBC78BH+uf6tAoghYgTFDFPUUCFEP6uEsKRih7pE1CFiuUUMIQSOEI0dN8NozFwklkBihdPo3xXoKxgaAxb2kBnLEWIII7bPEnQoxs1qtx26XVK7FUoZkgHW1fzVbkmbP0B270qyF2oQJ4WXwfu5ZMDx+ZKcUiR9/B8icH53yKrlVx0r+ckDxReozHRA5X7SN9U8iWMjgaYgMOeZZ2TnkiXiC4u5T2/fXtyw4ZfZkula65eN3AhVCDt44t13pT/Cf6JNBa1yyeqhQ2Vv5aQ9uJjbCZGnqo5EwB0xb6tOncRXR7LdpmDJZcYPgZLSKsnbVGQkVjfuHcXQltmmdYr06tHKcOFaAoy3ehnuFO3GsdxmtfEjX5dvYETVWhwTXvDbkobvcu5hh0nHYSPk9c+2yYLltZNqW3tO3S494HZpXbYV24jEtLbfpiHnnCO90U8kjgTDEQPbkQ/HDy+EGB9CTNQV48L3WEWYeKmGtK8j1qqeJBCmRQUYlLE2EvZClGIFy8hpqvBSgt8df5jbcuBtt0krMI1kjIUvbdrLi2XVxlL55oNHZVHR2AZVrrzmuNUyderUyDeoBUxJ4aX2Tqbw0owHfmMJL1Yelc7FKyXt50/Fi5Nx/d3VH5TMNjnS5vxrJTkdjhR/kez+4GXxlxVLWmqS8VBHi7bhl18u3YcNC/5g64+vJY5YP+J2gURdImZeETPcRQUS69mDeT0QR8x8IgEhBOc1RtJVWwiNIYIYQokpjGhOEe0jJE+IXfjQFQ2EyISE1sTw5KwZD8e42DQXxMEuh2+UivQyZHvZg6+8oJUkL+0lBSW2xGsO5Xjp3cctQ08uEG9WlXSrWiI5KT/gi1PjbPH5MmW95xypDFSQHljZTwanDqDoEhejqeWuRBHyNMxGzH0VcrqEN61wpI4XDSuyNzfs+Jm48JiGHDH9Fy50THhx4Y7zrg0bjJCH8JYC503uMcfQ7dJyh25EW74jv8zI/6LnGDE1XeB0p1tnjMGurXDDCRV0/AVS7V8N10tV6HpVj8C5kZkjZm8t1sKLCze+2iAssMcRR0i34cORJDhZXnprqXz3U+3vuX292sHt0mndV9KvW6irJwOujyP//OdgxcCI4IdNpOeC1Vu3SjXKwXvxvXbh2YW/rfCkmMaHRbOCUcwTDE9CxTc/BGkjT4xWT9IHqyftkWghHIyrX3pJfOGul0MOkZ5/+lNUrpd1m0vkmbeWyQevI48fhZcoRvPeZ3F1bSLHyxY6XmK+M9lh/QRiIbwMz50nR467UmBMwQ+CGw+RzHQkoc1KxnOSUTJZHSvpSKJW9fFLUrFmLaZx4QcbIUKYvtPx46Tj0ccjhMUl6957Q7b9MNtwiPjVKaLVZXBtm9m7n7Q57XwpQ3iHOkq0Ig1yrxohNsbfEESqPKaAUgZhxAqHqSuRqukaMS+YLQpQkUIAACAASURBVKdI/aQ4RUsikNS6QrqP2SoF/rI9bnbSmq7i2YAyuLCganPC8dKjh1tGjofoklMlyT6P9PW+L+7U0BPc3VVjZHvSMPFBMOpdlSsHJg+J6q5OS9q/3NbGIbDgtddk82wcz+FisbeUrCxJxd3HUuSBCW85uMiY/t//Sm/M55TjRctH70JuFy9ySYS3LqNGSToqq/gTqbJK4+xOLqXWBb9ftiD3y7YdZcaNnVhWQEpNdRn5XzQBb7V/KYSXYogstjs4/m5wvfSs1/USK+HlYpR5bj9kiPQ8/HDpjGfLOfD+Z7/IJ19tNm5O7aklwa0zcMMH0isVSXchJtnbAeedJz1Hj47pb5YKMX58x608MX51xWiIEspUG3liYrmjGutboeFJWsYax057GWsVZJLwfjROjsZa9cZezlI4SgxHZdgxfNCdd0pW530rx26t+7sz18tf7rpFfto1ho6XGO9QV9fHYtxjZN35t0yMbMImmIqOlyaA3liLnDRpkjz/Sblkteke1SJLdm+Wod1K5JSzrjd+UFPhUEnFcyXEEBVASpFHpDLwg9wmf7VkzH5fKktwshtwhbig0njPnCg7PJmSWbpdcn54U0p2Beyqtt/xtNMulm0uxMOykUAjEcgZUIC49Xwp8YfdabQtP2VefynOT4VLKvbCS8eOLhnz20LxtjYD5jtWrZL2yd/Bdl4TQO/3J8uGqvOkLC1Junm6yEj30HpPxBsJHxdDAlKJHCmzHn5YyrdsqUWjFZwtVfi8aseOkM+S4Hz8BxIk9vrmmwYJL2sQ138JLhL9mg1VXQHqTNS8WVjaTlRPKsWdcXtT30Bq27aSizv53j1UMgqGn4a5DOyeA0PUr8OFoNPosutyZwbf08/3Mm607z06HALbWGv28HXZw/o1aLgGlmGtu/XTjZNHg7m28M9C2AemCTpWw+epY7uDywh0ZLCNYCNcepEKl0YSHure0Gd1Wmnp3+TUVNy0MXsO9mXjtyf+eiNo/cZCydtcbIQfaYhxeAufN2Q/7mXls5GAd8iAMmmVvQHHdo9xQ8qcFwnufIfjvZoEtcYyA/vXGm9PQ8Qs++wzI0Q7muaBnSd7/Hj52yOPSBvkYFK3hdV++HmzvPreLxCd9m7p7e1dLQML50paIBTWmj8LlcwOR26XFE0862AzhBhw8UKA8cGJp0KMD0KMG8l7g64YB5fvVNcqxGiIkuy3n1k9CW4YzRXjwjhuydWT8n/8Uda/+ab4kKzd3tqOHSu5Z50VletF+znjjxPl3R/0prGZK3Jfm9dbJTf9IUf+8pe/7OuszXp6V5cmEl62Unhp1gMrXjfOcLx8M8jxEri6/QOWvyelS5FY19bc+42UXcNPNJwsPVd+JMVLF4aWmMa0yQP2l7KD/8+Yho0EGpNA57GbxZuNi0PEp9fV/CXpkr6ov+ws8sXU8ZLTWuSY35eIp63pFNCy0P08H+HCIPRiscg7AoLkodLe11YOcg2X1ChPCBqTKZfVsgis+OgjWYMLv/DqQJpMNx05DEr0zmRYqZjn586VfhBfGuJ4yYPoci1yR6Qjn0wWwhmykCtBw1nzvv1W8mbMQHJ33PnWi25cSBoPvD7wooukBwSb+treBBB7bjDjuxsuKtTTefj89snDQ2vtn9VVsc6+fGvaPeUuq2vaOo95ljDRwPxRkXCxT7Mv04evd3jC+vrCc3T+cJ57Y29NX1hUKTO/3SCLViAZZ5lZEdBoxqmLmaC+ZjuCHxif1SSLqS1RqeDyh9NnSnfkHtPiAZb44ao+CVV+xhrCRV3bqO+tgsi4sg5nWX1j3P75oEGDRB/2tnLNLnn6lSVSUrb3Mk/ZmS45quJzceVvq7XIAydMkFw4zBrbrWEWDICbGq4YD8INfVb1JA1RQhh8olZP8uE45sdx1Y/jqssKT9I8MTj+tTQhZtH990slcgCFxwEOQlhbKwh+kRwDwgesfo+WwynZkDZ48GAZOHBgQ7podvO6OjeR8LKNwkuzG0yJsEGNJby0Kd0s7X94W8p3h5bA9f/fhbLF3VmyizdIq7nv1fpcD46pv71MtuHCko0EGpuAK8MDa/Vm2eWuHZJgrYt7Q0fxre0kn771iCwqO6LBIuZxv79WjjsLpUvb1SyznWejdHJ/gVi+0JCNjRXnSmZyDxklI4xYezYSiDcCXiSo/frBB6UszGGi66kJ06vweSXyMdhbrMIjNLmu5nNRgUVjYDORMHfrggXiQ+hTCiqoaD4XFVy0afnoQ6+5Juq7ofHGnevTdAQ2ovrR/75YIyvXFEKY0GSwDb9pdMjIudKn9xLJzq40QpCyUVTA7W4jUnm7MWajuZCMlpDmt3nihYWyZcceyhfZOv7jsN1S8j2EzrBE1ZldusgRSHjqtNsl0m0MumJQMUmrJ+lDIMq4EY5oVFBKwPAkfyA8yY+y1RqepIJMsrqW8HAHXDGR8km06bZ9/bVsev998SG8zN7ao2R57pln8nwpjnaoq/P0Jlkb/7ZJTbLcSBbKUKNIKCXoNI0lvPRdN0Mq588NcbO4u/aQ3cecJyXIkdFz5YdStGShaZO1tZQhB0nJsBOR0Hbvd1USFD9XOwEIZOUWS+v9t0uxf88nmclL+sgnzzwt80sPb5DwMiL7W7n3rYulsm0JLhgDdz7xlehb9aWkpoXmwyj1DkQY3xkyMmmopKUEMusmAE+uYssj8AscL798/HGtEB4jmS4s8mWw/ftsVShiKbzYaZfhJHzn4sVGxTxtKspoaJOKMMMuu0zaI/wpA+FGmXDHpOfkBO8S60VtY17YtrwR0jy3ePW63fLl9xtk6SqID/U4Q+ojkJVVJKeO+1Q8PlOk7NwxXXp2y0L4zoXIrze80QSMSoSQP/7CfFm5tqS+VZbfn9hN/F/9W8o1x0pYG3rhhdLj4IMb3e1S70oHJjDKWOM4UY3QJE3aq+FJfrjz3EgWbjhiEjAHlIb9aXiSC4KzD8ddF5KcuyHCJGsVpUCemOZynPMhRG7RffeJR8NcbaKZHvMH3XOPtMIxni0+CLg6NZHwsp3CS3yMgBa2Fo0hvGR6iqTb9/+Ssp0FoXSP/51sa91fsgrWS6ufEIe8W4uA2hruUKb89krZ4W3VwvYKNzfeCHQ8eJv42xdKJeoc2RMJBPMAVCbLrNs+lNm7GuZ4Oe2QL+Xcx8+tEV0AIsezVbq5ZiDmLtR1U1w2QQ5MPUHSkim6xNt44fqEEtCwnq8Crhcj54qttcKJvwefV9rywDghvHix3B3LlknVrl21dk9bWL/b4kLECIfCibm6YNwQZLJhSc+CS0bvzmu4kpaYVlHGsu1TkOFIj4TAmvW75dOv1smKNcVSVhH9TaSjj/gSggtCYwJJ3zXdSqd2A6Rb2xuldevsRhExXnhjscyelx9+j6wWhrEHdZAxbTbLL8gxYxdVdcJs5CEZe+ONjSYWRbKPIplGhRgfylZXQyj2IjzJDUeMH84YFWL0US+USBbSyNP4cKwz8sQgBMZI2qt5YjRfjDoFIdQ0dhhYLDd/8+efy5ZPPhF/mOul069/LV2Rtyhe3Fax3OZE7MvV6dEmWW3/9qubZLmRLJSOl0goNfE0n339o9xy37Py+tN3St+eXY21ydu0De89J4VFJXLw8MFyx7W4oAuLy24M4SV34/ci82dJdRV+mAItqXUbKT75Mtld4ZbeK96T3UtCc7/oZCkHHCLFBxwvFVUNt+k28e7h4huBgIogxvDWMuWB1+az3q229BLE2MNJEvq5+ZlW4kpLdcM9EngY5cxRjQuPlHSfFPdaKcUppUgWaW6MGlJSkt2SjMpcOEeR1258UdIOyZR2udHdSSnYsFO888vkommXhtDqU/GdpKUvDnnP7x0gPTx3SKsMipKNMLS4iBgQWI28Kqv+9z/xIqGuvWmCdXW9lONCxof8CtqcEF6KUV50F9wu4U0rgvTGibgXF1R7a1bIkq5vDi5ONGxJRZkMlHvNbN9eslEtIykQ8kFBJgYDphl28cPPW+Tzb9bL9l0eJKTddwGmU6fNcuwRXyN5b2hlu6VLzpZRBx6M87wuRgiFU66Fj2askY++2LjXCka623p1y5DLzx4o856cLmV1uF2GXXKJkUvJqfVsrKFjCDEQa31r1xoVlATPooKMhiYlaPUkDU/yo3KSJuv1qyvGCk2CK1BFmEQSYqrxe7LogQfEq6K+TfBXp+VgJLjNRP4vtqYn4OrYRMLLDgovTb/3E3QN5i/5Rd764Ctk1d8md025ICi8TLj2frn64jNk2JB+ct2dT8jvfnOMjB45JGQrnRZeUnyV0nvOK1K6OTSxmuuwcbK920jJ3LlaMn/+SMoLw07GcfKQfNoVsqOaF5YJOiyDq23oFHYxJCBcWGKI+RwQR2zT6WwZaW6jSlYyyo+nQuRIQQnyZCgeWoo8FQKJCh8pED6Scecv2RBB8Bn+Nt4zpjfnMZ/hoMLrNPSn5c3T9G88a8lzYxVtoqQ9AaX1/jb/DvnZs0A8aXC91NH+OflZ6X39INwlz4lqlxVvKZJ1D62UCx6+KDh/K+9O6SGfYeNqvh8pqGTUtmyKtMkclfAnrlGB4kwJSaAaFyLfwPVSigsTK9TH2hC9A67fqvJAHphYCy+aR2bnihXiqUNc6TRihGRBOAnPQRExZL0YgRijeWTS0Y+WK9XkjZnqkNHXcMukUJCJGGdzn7C0rArulzyZM3+rEX5U5dm3G0snHv+J5GQjB4kt9HXz1n6ybNl4JN5Nl1NP6Cn9e7eNeQ6LH+ZtkVffXVVvBaMcVGG67qKhUrpkjqx8993abheIlmOnTGmWbgPNE+NDThgvQpLUFePXZL0QnjRHjBuhL4kYnqR3rXx6/OreXfwIxfRh/yXheJ0cSNgb70LMJiR33zpzpvjDBP+up54qnU84Iebfk+Z+/HJi+1wdmkh42UnhxYn92SL6LCuvlMyMNLnwugfk1mv+ZAgvXijx486+QT5//WGDwcdfzJElK9bJ5Mt+16jCS5cdiyTtp8/EU2beydTmTkuT8v+7QvI9GdJ7+buye+nSWvspbfhYKRx8DN0uDo/gEPHDEB7MqgvhjpDaLhIxnCCGyIHclOazKXxYYod+ru6RdMM5khTyrO9hlpr5rHkDgolOb68cEi6KWFga+47ZAu9i2SiodJRcu8qRE8JLz8o5kpmG3Edi3h1N8rulk/cASfffyiSgDn832H3sCaxDiegVSHhYlwCSjXwD5cin4MUd5FgLLwXot0irJ4W11OxsyT3qqHrdLlGRCIQsGY4edcdAjMnp1k0yEKqkYUsaxsSQpajINouZtu8slU+/zpNFy/KluAy5ROounFdrW3v3XCtjRs0Wry8/+JlKN999d77kF2RLJRzCg/rmyNGju8jQIR1jcmG5YMl2eek/K+rNU6O/6ZMuGCJ9e7SSWRpa2IzdLpEMQiNPDErTa46YanX0qQijSXshAiRyeJIfIrNP3SJwxIiWr4Yoo0l7XXDFaMWtxj4v29u+0PDRhahwVL0NN39tOSSTsK6D7r5bMvEbwNa0BFwdpjXJCvh3XtMky41koQw1ioRSHExjF1527iqUS294WP7z3N3Gms2Zt1ze+d83ct8tF4esqZOOFw3F6LfwLSldFZoU1DV8jOwcdIykb1spGT9/LBUIhbI3tQG6T79Sdnoy44Bq06xCnWEzNkFE18oumqhg4sYbGhqjbg/DGWK4PwIOEP0bj3S4PVJT8KxiSOB1Wiru1GI+dZCk43WSOkp0PstBgr+T4A6x+lNhxVy+aV2pSxSpr/Rm01Bt+FJxeizfVH0vRSklCDkKvVMZa+El3Vsivf0fIZ5pt7HibsQ4dfJ1lNTqc+HWGZNQlt+Gk2cPzYGA5nf5CifBhusFd4DtLQuihCZ+LMdFSiyFlwqceOejBKgXd6LDW/fDDpMU3AjwN2aiTJtDJgtuGHXEZMAZo7ljtOR1Nv5OpkOmOQz3iLZh3YZClKDOk2W/oAJSKRwTYQUG6urkNyd9KOnp+A75a8K3N2w8UFasOFYKimoUnBH7t5dNqz+Q1974CL/n0eUC81ZVSp+Bo6TPkN/Uuz3n/bavjB2VK6s+/VRWaW6XsO+VhuiNveGGmIhB9a5MnE6grhgvBBgf3H367NJS1ni4cDw0kvZGqsDF0fb5IbbosVsgKPs1US+EmBQtaQ2HTDyEJ+W9847sgOjvD/sN6HHWWdLh8MON8WiVGLewmuXZPXjfrHrn8++WJ//+mMyc8ZqkZ0RXQbKi3CsnHD9Rrrrqqjjae02/Kq72TSS85FN4afq9n+BrYBdeCotLRUONLOHlh3nL5L2PZ8lfb2484aVtSZ60+f4dqcS6WE3j5L2/vUK2+3Kk5+L/SCHs3+EtdcRhUjjwKKmsOaeIqz0TGiKDVdPwmDryihhiCESLDIgcGtISFC5sgojpEKkRSEwXCIQOFTvwh/mMPtKSDWEk6BwxXkMogXhivJdmhstoi8QdEk93JOJq50awMvn+AplT9ZNUpYUO0FgLL92rFkl2ylzsUFiUsV4dvai04u6Ik7NbJC2NIXgR7CpOEocENsyZI0v/8x/x7DYFRXvLQnLHStyZfApVkPovwviPcv01MG/10KFy4RiI/Mi7UFpHKWvNz9L1kEPqdN9EudiGzabJLHEBo4l9rZAlFWbSUWVJBRl1yWTgLrPdJdOwBXLueCKwHgLMjFl5shgVkErrqYA0aMByGTH0R+R6Cf0Ozfr2ItmxK0O83pqbAt/PfFIWbRoBu2Tr6Da3ulCGdp8no4+9Yq/zn3R0Nxl/Qj/xoFS7ul3KbcmyrRmHXnyx5B50UFw5IqKDEru5jDLWEIe9EJzVEVOtYgzClFwIi9TQJA1RSrSm1ZM0Ya8f1ZM0T4xAgEnSpL29eztSPckUSWqaMrWafuaF62jxww9I9VYVK6vwkZ67eSWldZr0vu0CSctAUnVXBcalVq7Eazz8rjL8jVw9OI8Xl894vun6mTLxhmXSpat583Ff29YtPnnigUtk6tSp+zprs56ewkvt3UvHS4IMebvwoqt8/B+ul89ee8hY+w9nzJZVazbKNcj5Ym9OOl76rftcyn+eE7I896ChsmvkeEnbulLSfvxIKmyijE6oYUiuUy+XfO++u11CHSBhYoiVXNXmGtGcITB4mCEyxmt9NkNlVPAw/g7kDkkJiCUqguhnVr4QI5wGnVghNeokMR4QQlQQsVokrhCKIQnyRcNqLqxeIhv9m8RjCzmKpfCSXO2RvtUfiDt1hwGlnbeNZCdBbPGeJCnuEww7LxsJJCqBbx5+WIohiITfEdf8KILEjo/+618xEV7+CPFFy0dXI8dLeOt93HE4/8YdzbAqS3HH1OaQScKFTGtY+zVsSYUjzSGjIUvJ+N2kIBN3ey6qFVqyYifO19bK5u0VUr6HCkhJSV459eQP8DugZZprLjrXrj1IVq46XIpKa1wvjSG8jNi/rVx01v44f0qSFSgbv/qDD2p9t1vhwvvwFu52iWRAqFBg5IrZutUITzKEGA1P0nwxAVdMwlZPgpPPj5BSdcK4IMJoeJJWjwtPRm4JKXYXih81JcVfDudJOTCWAwEeeDYrfJmvXRBL/FIB93cVnjE9hBQVTwTvbXonTwq+3YwcPKhqF8wz6Jfciw6VNiPb47uk/e693Tj5G7nq+pUUXuoDtY+fu9o1jRDl33XtPq5p401O4aXxWDdoSeHCy8Tbpsv5vxsnBw0dKPr6gt+fKCMPHBCyDKeEl1bVRdLp65ekoqDIXJ5VCea0i2Wbu4P0WPSWFK5aFVwXKwFrxqhjpHTgYUbWfCvXqT5nqmtExRGEyWiyVSNhqiZXhStE30vGyakZHmOF1qgAYlakURFExZBMuEYy8DoDyVRVLLEO7nsSReygKIo0aGg2u5k15Ojrqu+kJBkVDdzm3ZVYCi8dq36R9smzoERWSdvq1pLjzsZXCHlvqm7DeI6ualKz2wncoIQlsBVuloUQV6pQaSi8aa6XR998U/rOndtgx8t4JLstxwVMeMvBXdiOKJ+qd0ITtulNBC17HXDIZCNUSx9WtaUcCDLWBQ2rLCXWXvZ4quUz5H+ZNXcz8qpUG3lbwtuIofNlUP8FUu2vSbzuqU6W77+7BK4Xd7CIi9PCS5/cLJl4/gHQS9Phbi42EmhXaD6NsDYUlYxym0Elo6YYSYYQgwo9RhlrCDBG9SS8duM9o3pSHIjH4a6T8L+VGzLe4D8VBb3iw70jfxrCk3I7S3VvVGLNbSvunq3E1UYrJ5UhYTmc8hBSDPeJ4DrCCO02nSeGA8X4G9cJxt/1J6j27K6U5Q9vlurtYGdrmbk50nvKCZKaBkGmnkbhpT5C0X1O4aU2Nwov0Y2lRpvrjfe/lFf+85ls3rpDOrZvK/37dJfH/jJJVq/fLDfc8xSy0FfJUaOHyQ1XnlVrnSZNmiQzFq+SHNiZo2lFOHHu3S5LJlwOG6ra/VRB0XK9P82X4m9n4z1cLrpwcoj3svsPkJ4TLpGylctk/btviBeW1GDDrKnZWTJyyq2S1aa14RZJg6CiAonV7NnTrRNJewLWaNaf85BAtAR2S6HMrvxRKtP0jkrshJcJD14s/as/lKSUjdK6OlvauFsbF1B+zxhJdp3ZouPjo91XnC/+CMx+8knZhdwr4dWEMuHieOrLL6UnYvIbEmq0fNAgOUnt7nXkTOh78slSXRS4KRB/aBq0RsZNgoAgk4M8C5o/RqssqUNGw5U0bEmnoUOmQZgbZebdhZWG+2XxCiTghYtFb0hZLT2tTE4f/z/xVKNUrq0tW36srMs7EPliTNeLk8JL29apMvniA6VjBzP0dRmcLmvheAl3srWGw2HM5Mn87YrRqDGS9sLFV62uQbhh9NmlycNRPSlJqydFEZ5Up1ASEsKjN5iqg+KJIaIEhRR9X8UQr/G5S993BT436tVZj8D4DQol5t+GiIKbp76UdPF1QEhcnw7iR2WupF4Z4u6GikouhFwlaXhQ/QLL3hDnvb5FCmZvRmhXYchkva46XHKG5MD1UlMEpK5+KLzEaACHdeNq+4gzHdfTq7/guiZZbiQLpfASCaUEnUYdL1fe8EyDrHOPPTBY7nvomKD70VuaJD//bb5U7TTvegRSsMqgy4+XdvulytzpK6Xwl1/wSTI+c2M+SN+uJOn/myOk7wn9zYN5YC49zMLDEkhwlYIDME6k/XjG3X94XaDrqDCj/ZjPuAWI1zoNPreSvxpJWKwDtrk2Zr+YTvtBn1YfLlcqXocmoQt3u9SXOJbumAT9MkSx2iuqf5HVvrXiSfHGzPEy+W8nSif3TMnBd6Ktq00wHt5fcT0SKvaMYi05CwnEH4EC3LGd+8wzUpVfU53FWsuXER6U+913DRJelsE5cybCcjzIn+BRZwsuIvTiov1++0lrWNy12kVLappfDVcWkoxwpVZwxgTFGAgyWvpaS2rTIROfI2LjlhKZOWu9LF5ZYAgwlsHhsDHfSm7XlXC91OTRKy3LkTlzJsjOAjM3iFPCi95Mm3LpAdK3VztjORXISfLVX/9aZ+6m4ZdfLt2HDWNuF4eGlyHEQGD2aRlr5LPyoYpbNV67rTwxVXqsU1EkIJ4YrhPrgRwzfvN9fbggmPhVNME0+tqcD64aa90DTpOaTVF3esMEkT1hUSFGcEPWN6AjKnXg0TNLknrgHB1CjIbbmesXeavKr5AV09T1si5kpszebaT3dcfV63qh8BI5632Z0tWmiYSX3RRe9mU/cdoYEYiF8PL4QwPl/oePCK7R+k+LZf17KIHrrYmrz+jWTobffKRs+WmrrHgNMfcVoRbvFBxcx97xK8nIidD6HdRRjPo/AdHH+mmo/beunB/uG21aLNkU8mumr+nDeh8n6RBmkAEGD1PMESO7uebWUOHHfN+P8r7ma33fEoj0NUrqBd7T125DIEKoiCEQBT7HhbXZvybqwjIM0ajmc33P7cIPj63tTdSxVxmy372oq/pQjIYPuwGBWZ7ZUpBUKM9PeVp6Xz8IORdyouJSvKVI1j20Uv7y137SLmWztBUzkaY2nxfx8/4JCK/T8cJGAs2DwLwXX5QtP/9s2OjtLSZVjQ48UC449NBgt1UQX9SyP+jMM6UYdv1irayEixWtrlSXK6Z5EK5/K+yCTDYcMkaVJc0fExBkMuGGZdnr+jk2xhQbNhfJ59/kyRIIMCVIwNumTb6ceOwM8fi2hyz+53mnyZZtuVJW7nNMeLnkrIFy0DCEiATa4rfflryZM2u5XdoMGCCjr7mGbpcIB0jd1XX0/FWF42KcQ6rIprlNUFkR+U00t4k+63viMvOfaKJYv98r1Tt2i38jPtuCc/H1O8Wdt1NcVciFgnNzl89K2uuccBLhJkc8mT8J5z8qxPRH9SS4YqRHDsKTkN8qtdpwxKjjpr6W9ypcL3M2IV1MqOOx18QjJWc/CDtJtfOBWX1SeKmPbnSfU3ipzY2Ol+jGUkLMFWvhxetxw+2ySio2Ig7V1vr9cYx0HtNafnh4FZIqwhIZ1gacOUr6/qqdYSlsXs0u8livTfFHm6H/GILQ3kUj83MVYQLOnoDLx3AL6XuGawgX6cEbD4H+QwQm/fG2CT9hIpCRQ8QmAlkCUY0bSOdVoSkgPgXcRsay9b2gcwgJkq0EPbadaX/PChGry02UaPu/DCc631b8IE/cOr3BwsvmB+bJIw/kSvskM1mm1fyVlyGX0WCWkE60wcH13SuBsp075btHH5WK7aEXjjERXrSq0ejRIcsf+NvfSr9f/Sr43m7cHS7FskuxHqXIBaOvy/AwxJiWLsgEcsgkZWZKNsrDauJj42E5ZNrp7zV+yWwPDvfGIbB8Vb58/NU6ydtUJmNHfybt2iLkxF8jXu7Iz5XFi35ruF6ccLz83wk95ddH9wr+HpXg+/PtAw/UWSFsJMLZuw4Z0iLcLvYbXqEJYkuNpK+IBcI58E7o3AAAIABJREFUGEQR69lfab5GIlizNLhZWUcTwqqgogKKvqcPt1bcCeQ5MZ9VMFGnSmR5Tnw+3BiswjlenuaKwTLWFYp/1XaYR9C3B397zZDpRGp+nCP54Ypx9e0ovt4dxAf3VXJ3iDNtkScGjhi3u3Z4UsXWClk5faP48pGw2NYye7eTPpOPkZTU2nnHrMkovDgzOlytH3am43p69RdODpnimx8Wyl+nvyI78nfLsP37y/23Xiod2tWuBvffT7+VJ/75rhQUFsvg/j3l7ikTpHdul5huA4WXmOKMr85iLbxsmVMhv7yyQPyVNdbX5KwMGXn3r2XbfLhd3liEmP6az5RGWpscGXP70ZLeKkK3S3whTOi1qXH+BISfgCvIlva9DneQ3nmxxCI8h7mHjD71Y7+GbdWEfgWdQwHxyBSBNDxM3USmG8gKGXPhM6sgoF3DCdpdDenKFJHcCA8znUSB+dGf6UKy3Eq6HhqmZmbPrysv0J7CycJ37p5Kdef5NsrV110jvW4c0CDHS8nfvpXHpg4NFV2qe0mSbxLdLgn9TePK74nAEr1Tjnwu9tAfJ4QXLdF8+K23SjqqJtXVrGoi+lyyY4eUIQSqfNcuKcNrFWVKYN+vQvJQyyXTYveo5odBDhmtsGSELMEho4JMBsKVWuGRGQhZUuHYLh63WF4ObvhX32+QlWu/k8GDv5RKz86QJX33/Z9k56428uXHT8S0nPTo4e3l3DP3C6msN//f/5ZNs2YZYqW9tUMC60MmTkw4t0t4OWJrm3w+s0KOiig+iCaGKAK3iVbW8RtJYNV5UoJxr9No0mO4UoxqO9oDcqC4AyKJnt0ExRM9YdKwHgcHSh1d6007XyWEi/WV4lsH18x6rPs6uGKQe9Hl0ceenR+Nu6b7tjR/Spr42uNiWYUYTdjbPVNcuak4XmkOGrhiUAxh7QubpWgeHI9hzvs+1x4t2QPTsf/qFqEovOzbvoh06ngQXopKymTcWVPkoT9fLqOG7yfTnnlTtmzPl0fuvDJkM9bkbZFzrvqLvDDtZunXq5tMffZNWbpinfxj6o2Rbm5E01F4iQhTYk4UU+EFYTcLpm+QwqUrQmD0HD9Cuv6qm8ydtkxK1q2pBWrwWWOk11Go2hKBTTAxKXOtG0bAHk6mPZlij57CmC3MLWQIPyrM1J7PvAsVcJIYZzo1wpFLMiHKqEiDZG7I86MnJqZQYy5Fl+eSDLzCw5+Bz3DiYt54MsxGEyc/LDn98yS3b3SJqjesKUCSvDR56NHDQ3D5qy5AounhLeKOYcPGCedORAIaAvQ1yktXQNiwmhPCy7ALL5Qeo0bt8/fIugjTZ81jUYKKLaUqxuBRHhBlKpBknoKMWWUpGeVhjXLXAUEmE8l8NWxJE/ta7hgrdCkRx2u8rXN5hUc2bH8OJaRXS1nFDuRXNXMXbdw4RFasPEE+fGd6zISXPrmtAhWMavLg7cb39odp0+p0uxx09dWG26Uxm+U00e+rdaOkRkjR8BxTOPGr28QoSVzjOsEdwxqXCdwmrqDjBNO5SvH7bzpMVDRx42EkkrVEFeP9xtzS2C5Lb6apI8a3BmFMKsRs8kCMyRc3cmGpK8Z4xEH1pH3dan9yiviS4RbPbYdS1p0gwmRLZYZf1rwEl9iuvIBryOw1+4Au0vPSsXC97K5zMRRe9pV+ZNO7ch6KbMIYT+Uvuj7Y48dfzJG3P/pannnQfK8YQsxRp18tsz94UlJTa0L8N23dKWvWb5EjDj3QmG7h0tVy3Z1PyOdvxDZPDYWXGO/seOoulsLLziUeWfHcQty5tGUMx6/SiLvHS/6SrbLyncVQ2EMTGmYgg/mhtx4p6ZmhLph4YsR1IYH6CbjE/FFe0aBE1eH5kvy+bpJUPZlul/p3AKdIYALLUQ1lHfJDeEvN34FYCy9tUFXl0Ouui+n3SC/mrHwMHuSoscSYCjhlSuCQKd60yQxbCuSRSeDd06BVD1ZZQmLfVoEcMirKaEJfFWWy4ZZhlaUGIRavbx0cL4tk4/ZvZdvONeJF9SO9Rv5m1oXy3pv/lAUbRsAcWtsyH9FSqwtlaPd5Mu7Uq+W6Sw6Uzh1Da439/PLLsmX27Fpul/YQXEZdeeU+u132HK6jdzk0BAfOEkM8MZ+RrMMQT3x4wMKAaQIhOoZogvNN61kTxBqOE1M8MavwmHdOVETREsVsoQQ0PMmXB2FqHRw+m6rEt75Q3LuKzNAkdcVU159TJe6YuiEuITxpze50KS1AuJUbSXpb4SZbphbh8En/m38lWb3UrVc77QGFF2f2piu7iYSX4hrh5emX35d8jIdbJp0T3EgVXl6afov06tG5zg1XceZvj78q6Wmpcvu158YUDoWXmOKMr85iKbwsenqHFPy8KGQDO47pL73PGCxzHloo5VtCYyp1wiF/Okxyx2bhBzEBD+DxtSu5Nk1MIBY/yrWEl8qzkNvlUFr2m3jfcvHOEtDKQ9/A9VIGsUItZrEWXg698Ubp0KfPPrtdotlqe8iSFyVfizVMSXPHwClTsmWLEbZEhwzIqisRYoy6ZLIRsmS4ZCDCGBWWVJDB33ZnTKKFLeVt2ia33PecFBaVyMHDB8sdODG3h6qWV1Th82dk3Yat0qZ1K5l210RpnZMlM7+dh/wB70hFZZVceNZJcvpJR8qepvXBcvnYP9427tR+9ub5MHPOlt0l85FYt1R2F1XJylUj5dnH5svctcMbJLyM7Dlf3nztCVQwah/yldiNBNU/TJ8e4naxhJODkFC3C0KNtNXkO9GLWc1zogKKJxCuA2eFEbZThupMuJg3xBINzwmE7uDZEFAQumMIJVaeE0M40d5NAcUSUaL5znKeyAgY4Uk7vOLbADEGD98miFzqirHyxOA5UVppqV/WboMbZlMexBeEumvhgux0aX1IP+l23mhJ7QmHTyvUPdVrk4AoF4tzvCceuESmTp1aC5N+5/W7X13tk7/cdKEcMKhPyDR1HRd0grrmsx8Xvnr70bjfJfEgvEx79i3x4ibJ9Zf9Psjr+D9cL9PvmSj7DehVi+GDf39NXnj9YxlxwAB5/N6rjWN4LBuFl1jSjLO+YiW83Hz5aFn69yXiLdkVsoX7Tx4nBWvyZc2HcLsgm7q9ZXRpJ4fddqQkp4RmF48zRFwdEoiIQCx+lO3Ci8+XjROaWyQtre6cFBGtFCcigQQhsOrTT2X1J5/gN6QkpsJLN1Q2Gnruuft85z3W2OwhS1UQmlSQ0eTCVg6ZUogyFcgp42vhSX31alpzyGjpaxVjclSUCeSQCRdkrNClWO+rWPQ34dr75eqLz5BhQ/oZVvTf/eYYGT2yJuzm7y+9J8nYxov/eIr8+90ZyMdSKBedfYqcfuHt8vrTf5YUMPj9pXfKa0/dIS+++UmtaSdOOF3++dr/JD09VZ555X1Y3W9FdaOZELK+NVa/tKwKlvhKufqKMvluZcMcL+f/er089+zjEEr0HK4Uz5q/pFzmv/KBbJ09F64uDdvR0r5mWeJ2+/eUEZcdLknJOh1EFg3bsXKd4CIWQS3mtAERRQUUw4niUFniWOxP9lEXAey1aogXSNjrhyOmegvcIxsL8MhH9aRAeJJRqjo+2y+bUqQcoSP+slDHfb9xB0ua5nnpkiX+Qajc1Tdbkjqnyy33zpBJNyxpkKu5LuHlp4Ur5emX/ytPPzBZVq/bLHdPfdFwWlhNhde6jgvLVuXVOZ/9uPDFW9PiE75trVytHmySdfSXTAkuV4+hW7bly58nnx98b8wpV+D4++c9Ol50v7z+3kx575NZ8vbz98T0xg6FlyYZEo2z0FgJLxMO2l+2fbNY694GVzyrZ2fZ74pDZO7UeVK+bWOtDdr//COkx2hNeKo/2GwkkNgEYi28+D0nS4r7uJAkholNiGtPAnsm4PN45CtURinFXfTnvv1W+i9aJKFBDZHT08u91YGqRofdcYe0RVWeeG32kCV1yGgOGU3sq4JMUJTBe9UIZ2rJZa8th4w7Lc1M6Gs9NKmvVluCS0ZLY9tLXzfVPtc7p+POvkE+f92s1qH5A5YgAePky34XXKULrv2b3Dn5AuOkPr+gSK68eapcf/kf5I3/fiEP3H6ZMd3dU1+SY8YOl3+89lGtafWCoKy8UjIz0uSYM66RmW8hT1LVp+JO+ThEwLjq8m/loEPWSI+emp9s39vGvHJZPH+Q3P/wsZhZRRPNaeaTIoSg/Pj4YvEU7TBz6VvVddwuGXnNCdJpcHOrULnv7FriHEb1pEo4YzYgPAnCn6zdLa61+TAtlZohStWNOy7MQhDa7AUkzNe7C6tlY36q+Dbj+sSYTvP/uaRNr+7S9YCBklyIddcJMaZ9qdly09xlcvDSpZKL71w0bUNFpSyYcLlMQ04ke3vyxfekIxICn3nK0cbbvznvFoivd0oGRFVtPy5YUedxYdHytXXOpw4z67hA4WXPe8ouvHz61Y/yr7c/kxcfvdmYQSsb6TFcc7ykpGjxDrMt/yUPbsKSoIiu7qJhx00Q5VxXBaRoxokxWrETg0Vqo+2E88UngVgIL9PuHSinZ7SRavwA21v/8w+Xoh0Vkvcp3C5hFsTMzu1lzK2HSUoaKxnF58jgWu0rgZgKL0hU7a+6HbGjodbufV0nTk8CiURgHaobLf/vf+UpOF9iIbzcdcstsv8ZZySkeGkPWdLXWvJaHTKaP0bDlTSHjFZaauk5ZIIhS3CP5PTsKa0CiX0zkdBXk/pmouy1XYwJr2DnxPdD3SuX3vCw/Oe5u43u58xbLu/87xu575aLg4s75dyb5d9P3i7ZrTSpu19+jYoa115ypixAssabrjrbmE7DCLp16SDP//ujWtN++lpNXgQVXvTE3+NdiACeV+E0qcmlF9PfJRus+f/cIdtwIeoPy/PRcVgfGX7pEHznQh3OTnBmn/FPwAhP8iBXzHoVYhCKtA7n/Gt3igv5vLRykttbX/Ukq8CBTUAJVNI0L0z1/SQIJ4EKmvpaBRQs1xJStBCCMY1R/VIrXAYqX2KaFTiOVuB4KhC2rabHiIHjxkkGhHCXrVLXjd9/LxNxQyDawsFYijyOELzwUKO7HnlRjjjkQDn28JHGKpx39X1y700XSY+uHY2//zfzhzqPCwuXrdnrfNZxId5HiSuriRwvpTWOl9KyCggtU+T+2y6VUcMGG7lbSsrKjZLSWslo05YdSKg7VGbNWSS3P/C84UjK7dZJ3v14ljzy9Bvy5X8exe9M7LJrU3iJ91HbgPWLhfBy7xW95Y/d08VvKz+X0jpH9r/uKPn58Z+kYkdNtQprVYecf6Tkjkb1GCY0a8De46zxRCCWJ7g+zxhJcZ3Z5OER8cSX69IyCHwN18vUf/1L+i1c2CDHy9oRI+SFzz6TbJQ3bk4tXJApUgEGOWRKNYcMhBh9VO7ebYYshZX3bU4c6t2WQA6Z5MxMyYbjSfPIaMlrI4cMxBh9diqpb2FxqWiokSW8/DBvmbyHE/S/3lwjvJw24Tbj5F2FF71rqif9N1x5lnF32xJeHv/HO9K9awd5CaFG4dPWJbxAnpOSyockNQ0Og0CL5e+S1WfBmir5+e8rDLdLSAPzUVNOlPb9EifXR73jiBM0kIAKJ1YFSThHVIjxwWWi1ZM0RGkzhJc1O8RdqI4YuGGqUClKp4eQYgolWl3SEk70tfm+KyikmK4QbeGiaiQi6w6Ed27REE+Eetpbh379pPOgQZJSrP5JszklvPx1+r/goNgvKLycO+mvEGkvke4QXbV9/s1PdR4XNNRob/MljvDyQAPHWHSz+0tvCJlx9s9L5a6HX4TbpUAOVvEF+0Bzt2g4kTpinn/EnF4diK++/TmEmQrp2b2T3Dzxj0aul1g2Ci+xpBlnfcVCeLnltM5y0VAkFjLK+Job2PP/DoLt1S0bPluIE0DNPG99BgscDiZjbtWSbXS7xNlw4Oo0gEAsT3B9FdfBZtq7AWvDWUkgMQms+eILmXLDDdLnxx8bJLzsOv10ee7NN1tMYmrLmFyNMBfNIWNUVtKwJRVl9DVCuLx434+LGx+mabEtIMhoHplMDVdSVwweGRDoMvHQnDIpGRkhokw0rDQx42cBV8qHM2bLqjUb5RrkfLHaJVMeMk7Y+/Tsatjar779MbkRTpeX3/pUHrrjcmOyOx96QY4/6mB58Y2Pa037KtwyVrNfYFV43hWfax5cLwXGx7H8XbKWN/8f6nZZKn5f6DjqfFB/GTphEJZNt0s0YyZe5zGFE3WRmM8+m5Cif2utKP3M70fZZkFIW/BZQ3I0nUAaonXwLPq33nDF90unw2u3OwNCDG7c7igVf16eeDZsEBeeXRBCVIhx6cPB45WGei7T5eJYiVrswV2gLrn+J54oGerMCSzfKeHl2X99IK2zs4w8UNrGww335rN3GdVytKkLrq7jwtKV6/Y6X8IIL5lNJLyUhQov8fT9o/AST3sjxusyadIkKX3haemYHl3M4g7EGO/u3UsuO9S0yKnC4kpKkSGTL5d5z7wint32ZLu4A+f3ypDzTpXuo3qaGemDzizj0I2m8Z/Ico/SgC4XDoLIfo8sXYH3qvCe5pDRjPj6Pl5rknsrIVswMZtZItDozwg+DvxtvGGaE/2a8EtPwGzvmZ9pdvwYQ2Z3LYJArE5w77v/Mkn2T4hp6dsWsQO4kc2CQDVOtM85/nhp89VXEm1aaU2VmIrftkcfjf+KDk7vNKvktV5gVMAJo2JMqYoxgUpLxbjAMQQZK6lvS40st1VZUhHGcMngoblkgjlkjHMGJP/FRVl9d9Mn3jZdzv/dODlo6EDR1xf8/kQZOqSvrN+4Tfr16mZcSKmV/fJzTzVea76WC88+SU674DZ55fHb4HZMkrOuuEfeQKLdN9//sta0l/5pfHDo2C+wfP6tUl71b0lOW2t8HqvfpfsfPsLor2CdF07mpeIp3hk6dF1uOfSmcdK2N90uTn+n97X/oONERRKc5voRymycHAeeUVAbLhMkkvUHhBJDPEnD2TCEFDy7VDxxqwigITr4GyKK4NltCCj6t4oo+h5kGHw3rFbfd2RP22G4+pBk3bt6tVRDFPGtX4+EvRvFhdAfQ4yJsZNvG0I4t6nrRcUXW+sIx0tnOF+SA64Xp4QXzRvy4JOvyXMPT5EVqzfIQ0+9Ls89NEW27tiFG3BpkpWZXudxQSui1TWftQkJI7xk3L+vQzom0/vLb4xJP050QuHFCapx0qc6Xtoh0VPrKNenEPMtRBLDy0ePDvbQ9eijxYPSbBtw5zLc6tyqRw8Zi7uZqUiQpwdXPTDbUwjtKZ1QXe+Hz2cd5EPeh4CDW3xG6UIRFW1QCg9ijguZ9/2BvzULv77vx3T62q9/a8Jf42+fMa8bf5t9wAYJwUfndQXm1/fNkCnt31yOCkeWiBOQeoJ/m6BMkUebIfQYLMz39Z/5fk0Eq5G4LkRYinKHcTbHCMTqBPe+e1/FnY7B9Z7YO7Yh7JgEmpjAzJkz5f3332/QWowfP16OPVYTgrLVRcASZKz8MaVI5ms8IMho2Wt9+JD3IFhlqYULMklwwQRzyMAhYzhlkNA3o00b41gdLsisXr9ZbrjnKaMs9FGjhxlhRJr75Zyr7pWPX33AEFom3/WkbNi8Xboh593Uu64yLrA++XKuTH/+P0Z/l+Mm1cm/Gr3Hae948B8yf8lqlKTeIr1zu8opx42WS84ZL2Wel3EBvAA3wapiLrwsfBmhGd8tquV26TpmkBxwTj+4XSi8xPyIow4T41zZdJz4fVoXyu5CUYlaXed4htvEr2KIPwPTq1iiwgmcJXCdCB41rhObeIKcJ1azVwqLVjiJ+fajw2qIwyrE+Natk2q4YgRijOWIMUKUGnB8MlwvEHY8CNMU7SvQkpA3asBJJ0l6ESqvYhqnhBdd3NRn3pTPvv7REFo0zGhg3x4Ie3lBRh44UMafMLbO48Ke5tvTccGJ/RKLPl0UXmphpPASi5EVp33EXHjBj8Pgq66SxYjRr4KCHN6GXnyx5B50UEJdVNYl8NQlGum2Wiez+toUlXAQV6HGEHFUmFGRByKOJfJoCUZ87sPfKgaZn+l0ZllGv+HqUdGnxoZj/b4EU42Zv8nGfIYgFBSBTKHJWKbhFKp51AhPpihlVpaCWFRL3KkRhMx9qWuiNiNrz1p5t2tPF6dD3rHVionw8uAh8uD9n9Lt4theYsckQAJ7I2DPIVOG33Ajma9WWVJBBq9VkKkuLzcdMjG+85xQeybgkEnJypJWWvJaw5YCZa+zkT8mo21biBA11TDsTgCnt9PrWyQV3jcQzl0YU+GlMK9a5k5fIt5wtwtcDqNvO0nadK9J6uv0NiZc/3CXBEN0gmE7ejZlhvD4IZQYrhEN0zFe681JdaCYwomG62h4jsulIksmhJQsvM7EexBc0CyRJLzEejyJJ7HcZz6EBXlVhFFHDPJcqSvGDYHEjfeN8CQIJfvSDNcLHj6Iz/bWZf/9pQOSdifDgeOk8LIv69rcpnWlN5HjpYKOl+Y2lhJie2ItvLQbNkxcuAu08csva5W+bN2nj4yePJkXlTEaGZEWGwufbk8OI+t984caSc9UqAmIOTWCkQo71YZQZIpDZvhY0ClkuYeC4hLKTwZEHxWbzNcBISjo8rGA1DiA1HVkikOmYOVyBQQiy00UJhDZXUNWWUvLaVQTOmaKQ6ZopsuMbbG2WAgvj91/ukxDCdHmerIUo6HPbkiABBqZQIggAyFGqyypQ8YSZDSPjAf5EFp6yJKWtE7JzpZ0JPDVstcatqQJftPwXhrEGHXKZLRqFTzGOyXIlHgekOSkLXLTlC/lqutXSpeuNSEg+zJ0tm7xyeMPDUQ56SNk3j92yva5S2q5XXKP2V8Gn9kLlYyas9tFnSZKLpDTxAjbCeQ2CQopOYYQ4vepOGIKJC5/ZqjTxBJRrJwngfwn+v2qK0yH5wKRjVZ1rfjgWPHCDVONY5EfDhaBKKNumEjCkzTv1VKdX+ezCcrJcO8PhHsyFce7G7/7zpGqRpFtYfOdypX+tybZOH/FTU2y3EgWSsdLJJQSdJpYCy+9zz5bVsAiXm3LBG6hGX7ZZdJ9+HBeVCboWGnoau9NADJkEJtV1HIU1fW+tR6aA0jDxixXjxlCpq4fdQ/pSVG4sKKSjFpSLeePijnm9KaIFAj70mfD1VOJPqwcQxqyhr9dSBqoD9FM96bzR6fVRd18wwz5w3mLpVPn6JIEbd/mlzdeuESmIfSPjQRIgAQSgYBdkClHDhkjf4wKMngYDhm9mIEg0+JDlvR3BQ4YfaRDgMnJzTWcMoZbBg6ZVrYqS7rfGyrIVFXPFI9vhtx600cxEV6uv2SULHhmuXhLwpzMEJoOv/sUrH+8F0swQ3WC4Tp4recJ+gtuOFGMMB6IJIHksEaoDkQS031iJog1c5xo2A7CeVypkqS5TRDe43ar60SnC62sY3ehJMJ3uTmto3Vc0tAkFWPUFSMIVRIcoywxJjw8aTPElR04bvnxbG/dcEO5HcrU3/r55xReHBgkrrQmEl4qKbw4sDvZZX0EYim8ZOJEIgmWvO2zZ9d2uyBB1ZjrrmN53Pp2CD9vEgL15RCyVsoeYhYebvYlXF4ffvhhg9afeSkahI8zkwAJxAmBkKS+hYVmyWtc0JRrHhkksSzGhZAHN2j8uNOsokxDcjTEySZHvRou5JJw4c56MIcMQpa00pJWWbILMuFhJHtboB+u1ZLKR+S2W96SidevaLDj5bd9BkjB4uVmYQJb63XCgTLo/3LF7bjbJSCaBCrqmJV0VDgxnSf6tyaIVfHErK4DEcUI1bGerXCddCMprCGeGGE8ZrJYM0FsaMiO/e+ody5njBsC6oqphhCs4UmaJ8a/dq24cDzS0CQVYzR8aRnEYi/CljSni9U0J2V/5Hq5HTeVJy5aJF2i3KKtmO/xa66RqVOnRtlD85yNwkvt/UrHS/Mc68ZWxVJ4yT3tNFkzY4Z4NBFVWBuJChPdECvJRgIkQAIkQAIk0DIJ2AWZSggv6o5RUaYc4UvqjtEcMpUQaoSCjOmQgSiTqUKMumI0dAkhTJpLJhuPFIQwWRWW6gpJqfS+L1Om3COTbljSIOHlgRv7yqkd29Zyu7jcyTL2npMlu4M6QOtv9rLEVnLY2uE6SPRqCCiaKFZzmKDcMFwnRmUdIzzHFEmsZ8ONgmm0LLHV7Cwa6hyqf6s4RaISMFwxuF7xQoDxQozR8KQts2ZJgeaMgUiMi9/gpuWOGiV/W7xYrv75ZwovMd7hrtT7YtxjZN35q26ObMImmIrCSxNAb6xFxkp4ufbUU8WNikU7580LUYp1O9pDcBl1xRV0uzTWTuVySIAESIAESCCBCNirLFUgkaW6YowqS5pLRgUZ3ImuRJgABZlAyBIEGc0Zk4NQpQzk1UvTnDJ4VoEmC89mlaVCmXTNKXL1TQsaJLzcfk53+UN/rZBjheqYA6v3uOHS/5ReWE4lPkE5YsNtYiaBFVTUMV9rklitmqOv8eyCmCTJgSo7eI2QHRccKi63KbaYiWTNKlF1CSkJNKS5qglGQI9BFUgovviee6QaYoyoIw8isDpiMpFE+1m4YK6ZM4fCS4z3qyuliYQXD4WXGO9KdhcJgVgJL3+++WbJwwHJh1ju8HYoykd3RKgRGwmQAAmQAAmQAAlESsAuyFTi/MIodQ2HjOaQUXHGcshoyJJRZakBZWUjXad4nc5yyBiVlrp3NyotPfjKM5JR9L306GhWv9nXtnFHiWzN7yIXHDzIzIkC4URznbiT0uSwu+6QnA5dDPeJtr05TZgkdl/Jc/qmIrD2tddkF65n/JosHMcTPwQYH8pZPwlHTMflyyUX369o2gb0573oInn00Uejmb3ZzuNK+WuTbJvfc0uTLDeShdLxEgmlBJ0mFsLLohEj5NpLLpH8BQtquV06o3T0iAkT6HZJ0PHB1SYBEiABEiCBeCMQHrJUrA4KaIywAAAPLElEQVQZyyVjJfXFxZKR1LcFCzLPff+99Edeiuwod6AGEa0eOlQuHD06pIe+J58sg/BIgvOGjQSaE4EqhD0uRpEDHwRee5uK79KR+C61jXJjCzDfcuZ4qUXPldxEwouXwkuUQ5mzNYRALISXlccfL2cdcEBttwusoqNvukk69O7dkFXkvCRAAiRAAiRAAiRQLwG7IFOGsAEjhwyEGH0ux4VUsVZZKi83kvq2BEHGCeFFHTWH3X67tEKoExsJNEcCv7zwghTiZrIf4q3VKLw4s6cpvNTmSseLM2MtLnqNhfCy+Kij5E+DBtXani6HHCLDzzuPbpe42NNcCRIgARIgARJomQSs8rK69Vr2ugx3tQ0xpqDAEGRK4JYpg0Dja2aCjBPCywDk9BswblyDS163zJHIrU4EAmVIsLv8738XH44RFF6c3WOupHudXcAeevdX39oky41koRReIqGUoNNMQrWhDc8/L12ijFnciphFX//+cnGYDdXldsuh6nbp1StByXC1SYAESIAESIAEmjMBu0NGRRfNH1OsDhnNHwN3TDHyOlSh8kmihizFWnhJSk+XI+++W7Jat27Ow4LbRgKy6tlnpWjJEvHDIaeNjhdnBoXL3UTCi4/CizN7lL3ulYA6XpIQyxjr+N9uY8bIsD/9ifG/HH8kQAIkQAIkQAIJRcAuyFTAIVOMpL5FEGTKA0l9VZAxxJg4d8jEWnjR3C6DTzmFbpeEGs1c2WgIFK1aJb/885/igzuOwks0BCObh8JLbU50vEQ2dhJyKieEFxeSrY299VZpi6z6bCRAAiRAAiRAAiTQHAjYBRmj1DUcMvpcps8qykCc8aAcdryUvY6l8KJVk9Ttkt2+fXPYldwGEqiXwPLHHpPSX34Rf0UFHS/10opuApfrL9HN2MC5/P7bGtiDc7NTeHGObZP37ITw0uOII2To2WfzjkiT712uAAmQAAmQAAmQgNME7DlkKiG8aGLfcuuhAg1Cl4rgkqnGBZyoU6aRyl7HUnjpN368DDrpJJ7bOT2Y2H/cEChAFaM1r74qfnyXGWoUN7ul2a8IhZdmvItjLby4UlLk8Ntuk9ZdujRjatw0EiABEiABEiABEtg7AbtDRl9rEl+tsqR5ZDSHTNGGDVJVjKLNEGM0dAmKTEyRxkp4uQzVKw9HJSPmdonp7mFnCUBgyUMPSUVenjzy5ZcsJ50A+6s5rCKFl+awF/ewDbEWXnodd5wMOf105nZpxmOGm0YCJEACJEACJBA9gZAcMoWFRsiSJvYtC4QraU4ZL4oXaMlrTforPl9UC4uV8PLgI49I32OOodslqr3AmRKZQP7cubLu7bflkQ8/pPCSyDsygdadwksC7ax9XdVYCi+a28WI/+3QYV9Xg9OTAAmQAAmQAAmQQIsmYAky+myVvbbCljRcSR9G2Wt1x2hi33oEmVgIL+sOOURenjlTMqKsftmidyg3vlkQWHjvvXL/W2/JkfPnS9sot6gA8y2/5hqZOnVqlD1wtpZCgMJLM97TsRRe+iHb/UA8kiDAsJEACZAACZAACZAACcSGgA8iiz5UlFFHjLpkyjSxr5XcF39biX0tQSYWwkvBGWfIs6+/TrdLbHYje0lAAlu/+EKuv/FGOQLuFwovCbgDE2yVKbwk2A7bl9WNlfBy6a9+JUfeeadk5uTsy+I5LQmQAAmQAAmQAAmQQBQE7A4ZFWUqELakoozmkdFKS/c99ZS0mzVLsqLoW2cpxSN10iR59NFHo+yBs5FA4hPweTwyQVMpfP21tI5ycwox3xY6XqKk17Jmo/DSjPd3rISXv913nwwYN453RJrxWOGmkQAJkAAJkAAJxD8BS5CZMWOGfPTRRw1a4fGoZnTsscc2qA/OTAKJTmAmwu3ef//9Bm0Gv0sNwtdiZqbw0ox3dSyEl7UjR8qLn38urdpGa8BrxoC5aSRAAiRAAiRAAiRAAiRAAiRAAiRQDwEKL814iMRCeNmFKkbPvfkm3S7NeJxw00iABEiABEiABEiABEiABEiABJwjQOHFObZN3rMKLxXTpjUs/nfiRHl0+vQm3xauAAmQAAmQAAmQAAmQAAmQAAmQAAkkIgEKL4m41yJcZ8YsRgiKk5EACZAACZAACZAACZAACZAACZCAQwQovDgElt2SAAmQAAmQAAmQAAmQAAmQAAmQAAmQAIUXjgESIAESIAESIAESIAESIAESIAESIAEScIgAhReHwLJbEiABEiABEiABEiABEiABEiABEiABEqDwwjFAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAg4RoPDiEFh2SwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIUXjgGSIAESIAESIAESIAESIAESIAESIAESMAhAhReHALLbkmABEiABEiABEiABEiABEiABEiABEiAwgvHAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAk4RIDCi0Ng2S0JkAAJkAAJkAAJkAAJkAAJkAAJkAAJUHjhGCABEiABEiABEiABEiABEiABEiABEiABhwhQeHEILLslARIgARIgARIgARIgARIgARIgARIgAQovHAMkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4BABCi8OgWW3JEACJEACJEACJEACJEACJEACJEACJEDhhWOABEiABEiABEiABEiABEiABEiABEiABBwiQOHFIbDslgRIgARIgARIgARIgARIgARIgARIgAQovHAMkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIBDBCi8OASW3ZIACZAACZAACZAACZAACZAACZAACZAAhReOARIgARIgARIgARIgARIgARIgARIgARJwiACFF4fAslsSIAESIAESIAESIAESIAESIAESIAESoPDCMUACJEACJEACJEACJEACJEACJEACJEACDhGg8OIQWHZLAiRAAiRAAiRAAiRAAiRAAiRAAiRAAhReOAZIgARIgARIgARIgARIgARIgARIgARIwCECFF4cAstuSYA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   ],
   "source": [
    "parameter_names = list(search_space_mlp.keys())\n",
    "\n",
    "mlp_search_data = mlp_search_data.sort_values('hidden_layer_sizes', ascending=False)\n",
    "\n",
    "fig = px.parallel_categories(mlp_search_data, \n",
    "                             color=\"score\", \n",
    "                             color_continuous_scale=color_scale, \n",
    "                             dimensions=parameter_names, \n",
    "                             )\n",
    "fig.update_layout(width=950, height=700)\n",
    "fig.show()"
   ]
  }
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