diff --git a/docs/foraging/Fish/Fish_test.ipynb b/docs/foraging/Fish/Fish_test.ipynb
new file mode 100644
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+++ b/docs/foraging/Fish/Fish_test.ipynb
@@ -0,0 +1,436252 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5effcbc8",
+   "id": "5effcbc8",
+   "metadata": {},
+   "source": [
+    "# Foraging toolkit  - approximate inference analysis on Fish School data\n",
+    "https://datadryad.org/landing/show?id=doi%3A10.5061%2Fdryad.sbcc2fr2h#usage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1b3fb6ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# importing packages. See https://github.com/BasisResearch/collab-creatures for repo setup\n",
+    "import logging\n",
+    "import os\n",
+    "\n",
+    "import dill\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "\n",
+    "\n",
+    "\n",
+    "import collab.foraging.toolkit as ft\n",
+    "from collab.foraging.toolkit import dataObject, plot_predictor, foragers_to_forager_distances\n",
+    "logging.basicConfig(format=\"%(message)s\", level=logging.INFO)\n",
+    "\n",
+    "from collab.utils import find_repo_root\n",
+    "\n",
+    "root = find_repo_root()\n",
+    "\n",
+    "import plotly.io as pio\n",
+    "\n",
+    "%matplotlib inline\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import h5py\n",
+    "\n",
+    "\n",
+    "#pio.renderers.default = \"notebook\"\n",
+    "\n",
+    "# users can ignore smoke_test -- it's for automatic testing on GitHub,\n",
+    "# to make sure the notebook runs on future updates to the repository\n",
+    "smoke_test = \"CI\" in os.environ\n",
+    "frames = 150 if smoke_test else 300\n",
+    "frames_sps = 150 if smoke_test else 300\n",
+    "sampling_rate = 0.001 if smoke_test else 0.01\n",
+    "num_svi_iters = 100 if smoke_test else 1000\n",
+    "num_samples = 100 if smoke_test else 1000"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c833683",
+   "id": "7c833683",
+   "metadata": {},
+   "source": [
+    "## Data processing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4354c2a",
+   "id": "f4354c2a",
+   "metadata": {},
+   "source": [
+    "### Load data\n",
+    "\n",
+    "First, we convert the raw data into foraging toolkit format. Our methods expect a dataObject with foragersDF property, which is a DataFrame with columns time,forager,x,y. We use the toolkit utilities to subsample and rescale the data.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "04cb69f7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Top-level keys: ['fields']\n",
+      "\n",
+      "Contents of 'fields':\n",
+      "  version: shape ()\n",
+      "  date: shape ()\n",
+      "  detected: shape (10, 3596)\n",
+      "  x: shape (10, 3596)\n",
+      "  y: shape (10, 3596)\n",
+      "  heading_x: shape (10, 3596)\n",
+      "  heading_y: shape (10, 3596)\n",
+      "  left_eye_x: shape (10, 3596)\n",
+      "  left_eye_y: shape (10, 3596)\n",
+      "  right_eye_x: shape (10, 3596)\n",
+      "  right_eye_y: shape (10, 3596)\n",
+      "  ang_area_left_eye: shape (10, 3596, 10)\n",
+      "  ang_area_right_eye: shape (10, 3596, 10)\n",
+      "  ang_com_left_eye: shape (10, 3596, 10)\n",
+      "  ang_com_right_eye: shape (10, 3596, 10)\n",
+      "  fov_distance: shape (10, 3596, 256)\n",
+      "  fov_identity: shape (10, 3596, 256)\n",
+      "  sobj_x: shape (2,)\n",
+      "  sobj_y: shape (2,)\n",
+      "  sobj_ang_area_left_eye: shape (10, 3596, 2)\n",
+      "  sobj_ang_area_right_eye: shape (10, 3596, 2)\n",
+      "  sobj_ang_com_left_eye: shape (10, 3596, 2)\n",
+      "  sobj_ang_com_right_eye: shape (10, 3596, 2)\n",
+      "  body_midline_x: shape (10, 3596, 21)\n",
+      "  body_midline_y: shape (10, 3596, 21)\n",
+      "  body_midline_ds: shape (10, 3596, 21)\n",
+      "  body_spline: shape (10, 3596, 20)\n",
+      "  body_length: shape (10, 3596)\n",
+      "  body_flank_m: shape (10, 3596)\n",
+      "  body_flank_b: shape (10, 3596)\n",
+      "  body_curvature_c0: shape (10, 3596)\n",
+      "  body_curvature_c1: shape (10, 3596)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import h5py\n",
+    "\n",
+    "#Set file path to training dataset\n",
+    "\n",
+    "file_path = '/Users/raphaelcohn/Documents/GitHub/collab-creatures/data/foraging/0066_000_fov.h5'\n",
+    "\n",
+    "def inspect_h5_structure(file_path):\n",
+    "    with h5py.File(file_path, 'r') as f:\n",
+    "        print(\"Top-level keys:\", list(f.keys()))\n",
+    "        for key in f.keys():\n",
+    "            print(f\"\\nContents of '{key}':\")\n",
+    "            for subkey in f[key].keys():\n",
+    "                data_shape = f[f'{key}/{subkey}'].shape\n",
+    "                print(f\"  {subkey}: shape {data_shape}\")\n",
+    "\n",
+    "inspect_h5_structure(file_path)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f48d9f0",
+   "id": "1f48d9f0",
+   "metadata": {},
+   "source": [
+    "Here we load the all of the data fields in the raw data. We will initially use just the fields required for the foragersDF:x,y,time and forager. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "fc2fb84e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_core_tracking_data(file_path):\n",
+    "    with h5py.File(file_path, 'r') as f:\n",
+    "        fields = f['fields']\n",
+    "        data = {\n",
+    "            'x': fields['x'][:],\n",
+    "            'y': fields['y'][:],\n",
+    "            'heading_x': fields['heading_x'][:],\n",
+    "            'heading_y': fields['heading_y'][:],\n",
+    "            'body_midline_x': fields['body_midline_x'][:],\n",
+    "            'body_midline_y': fields['body_midline_y'][:],\n",
+    "            'body_length': fields['body_length'][:],\n",
+    "            'left_eye_x': fields['left_eye_x'][:],\n",
+    "            'left_eye_y': fields['left_eye_y'][:],\n",
+    "            'right_eye_x': fields['right_eye_x'][:],\n",
+    "            'right_eye_y': fields['right_eye_y'][:],\n",
+    "        }\n",
+    "    return data\n",
+    "\n",
+    "data = load_core_tracking_data(file_path)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "340e234a",
+   "id": "340e234a",
+   "metadata": {},
+   "source": [
+    "Visualize Trajectories after downsampling."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6a37e102",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure(figsize=(10, 8))\n",
+    "for i in range(data['x'].shape[0]):\n",
+    "    plt.plot(data['x'][i, ::10], data['y'][i, ::10], label=f'Fish {i}', alpha=0.7)\n",
+    "\n",
+    "plt.title('Downsampled Head Trajectories (All Fish)')\n",
+    "plt.xlabel('X Position')\n",
+    "plt.ylabel('Y Position')\n",
+    "plt.gca().invert_yaxis()\n",
+    "plt.grid(True)\n",
+    "plt.legend()\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c99d057",
+   "id": "7c99d057",
+   "metadata": {},
+   "source": [
+    "Now we extract the columns to use in the foragersDF."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "a294ce0e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   time  forager            x           y\n",
+      "0     0        0  1424.128389  639.591000\n",
+      "1     1        0  1422.204911  638.902441\n",
+      "2     2        0  1420.626402  638.178485\n",
+      "3     3        0  1419.001751  637.487427\n",
+      "4     4        0  1417.364477  636.848804\n",
+      "Shape: (35960, 4)\n",
+      "Missing rows: 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "def build_foragers_df(x_data, y_data):\n",
+    "    num_fish, num_frames = x_data.shape\n",
+    "    records = []\n",
+    "\n",
+    "    for fish_id in range(num_fish):\n",
+    "        for t in range(num_frames):\n",
+    "            x = x_data[fish_id, t]\n",
+    "            y = y_data[fish_id, t]\n",
+    "            records.append((t, fish_id, x, y))\n",
+    "\n",
+    "    df = pd.DataFrame(records, columns=['time', 'forager', 'x', 'y'])\n",
+    "\n",
+    "    # Replace invalid (e.g. all-zero or all-NaN) positions with NaN explicitly\n",
+    "    df.loc[(df['x'] == 0) & (df['y'] == 0), ['x', 'y']] = np.nan\n",
+    "\n",
+    "    return df\n",
+    "\n",
+    "foragersDF = build_foragers_df(data['x'], data['y'])\n",
+    "print(foragersDF.head())\n",
+    "print(f\"Shape: {foragersDF.shape}\")\n",
+    "print(f\"Missing rows: {foragersDF[['x','y']].isnull().any(axis=1).sum()}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "93243183",
+   "id": "93243183",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "original_frames: 3596\n",
+      "original_shape: (35960, 4)\n",
+      "resulting_frames: 300\n",
+      "resulting_shape: (3000, 4)\n",
+      "\n",
+      "Fish:\n",
+      "-----\n",
+      "   time  forager     x     y\n",
+      "0     0        0  65.0  56.0\n",
+      "1     1        0  65.0  55.0\n",
+      "2     2        0  63.0  54.0\n",
+      "3     3        0  61.0  53.0\n",
+      "4     4        0  60.0  52.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Subset and rescale the fish data just like the birds\n",
+    "fish_sub = ft.subset_frames_evenly_spaced(foragersDF, frames)\n",
+    "fish_sub = ft.rescale_to_grid(fish_sub, 90)\n",
+    "\n",
+    "# Create the dataObject\n",
+    "fish_object = dataObject(foragersDF=fish_sub)\n",
+    "\n",
+    "# Preview\n",
+    "print(f\"\\nFish:\\n-----\\n{fish_object.foragersDF.head()}\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a089bdc5",
+   "id": "a089bdc5",
+   "metadata": {},
+   "source": [
+    "### Analyze mutual distance distribution\n",
+    "\n",
+    "The `ft.foragers_to_forager_distances` helper function calculates the distances between foragers at each time frame. It returns a nested list of length `len(obj.foragers)` where sublist `i`  contains `DataFrame`s of distances\n",
+    "between forager `i` and all others, one `DataFrame` per time frame.\n",
+    "\n",
+    "This takes a few minutes to run, and results are stored in local .pkl files, which you should delete if you want to re-compute the analysis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "215d505e",
+   "id": "215d505e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading precomputed fish distances.\n"
+     ]
+    }
+   ],
+   "source": [
+    "fish_distances_path = os.path.join(\n",
+    "    root, \"docs/foraging/fish_distances.pkl\"\n",
+    ")\n",
+    "\n",
+    "if not os.path.exists(fish_distances_path):\n",
+    "    print(\"Computing mutual distances between fish...\")\n",
+    "    fish_distances = ft.foragers_to_forager_distances(obj=fish_object)\n",
+    "\n",
+    "    with open(fish_distances_path, \"wb\") as f:\n",
+    "        dill.dump(fish_distances, f)\n",
+    "else:\n",
+    "    print(\"Loading precomputed fish distances.\")\n",
+    "    with open(fish_distances_path, \"rb\") as f:\n",
+    "        fish_distances = dill.load(f)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3725bf24",
+   "id": "3725bf24",
+   "metadata": {},
+   "outputs": [
+    {
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yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else K=tt=lt*q(Q,ut),ft.text=J+tt;ft.text+=ct,tt+=ct,K+=ct,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(z-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,z),j.call(c.setRect,F/2,F/2,B-F,H-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),I.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var 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e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).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\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(5485),draw:r(82188)}},7561:function(t,e,r){\"use 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date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:u,handleTraceDefaults:function(t,e,r,n){for(var 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0,zLabelVal:void 0,text:void 0},c[J]&&(et.subplot=c[J]._subplot),c._splomScenes&&c._splomScenes[X.uid]&&(et.scene=c._splomScenes[X.uid]),rt=nt.length,\"array\"===$){var n=e[Y];\"pointNumber\"in n?(et.index=n.pointNumber,$=\"closest\"):($=\"\",\"xval\"in n&&(Q=n.xval,$=\"x\"),\"yval\"in n&&(tt=n.yval,$=$?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(Q=t,tt=r):(Q=q[K],tt=G[K]);if(0!==N)if(X._module&&X._module.hoverPoints){var a=X._module.hoverPoints(et,Q,tt,$,{finiteRange:!0,hoverLayer:c._hoverlayer});if(a)for(var s,u=0;u<a.length;u++)s=a[u],i(s.x0)&&i(s.y0)&&nt.push(R(s,I))}else o.log(\"Unrecognized trace type in hover:\",X);if(\"closest\"===I&&nt.length>rt&&(nt.splice(0,rt),ft=nt[0].distance),m&&0!==H&&0===nt.length){et.distance=H,et.index=!1;var f=X._module.hoverPoints(et,Q,tt,\"closest\",{hoverLayer:c._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=H}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var v=d[0];i(v.x0)&&i(v.y0)&&(h=dt(v),(!at.vLinePoint||at.vLinePoint.spikeDistance>h.spikeDistance)&&(at.vLinePoint=h))}var g=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(g.length){var x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function dt(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ht();var vt={fullLayout:c,container:c._hoverlayer,event:e},gt=t._spikepoints,yt={vLinePoint:at.vLinePoint,hLinePoint:at.hLinePoint};t._spikepoints=yt;var mt=function(){nt.sort((function(t,e){return t.distance-e.distance})),nt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];g.traceIs(s.trace,\"bar-like\")||g.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(nt,I)};mt();var xt=I.charAt(0),bt=(\"x\"===xt||\"y\"===xt)&&nt[0]&&L[nt[0].trace.type];if(m&&0!==H&&0!==nt.length){var _t=pt(nt.filter((function(t){return t.ya.showspikes})),H,bt);at.hLinePoint=dt(_t);var wt=pt(nt.filter((function(t){return t.xa.showspikes})),H,bt);at.vLinePoint=dt(wt)}if(0===nt.length){var Tt=d.unhoverRaw(t,e);return!m||null===at.hLinePoint&&null===at.vLinePoint||B(gt)&&F(t,at,vt),Tt}if(m&&B(gt)&&F(t,at,vt),y.isXYhover($)&&0!==nt[0].length&&\"splom\"!==nt[0].trace.type){var kt=nt[0],At=(nt=E[kt.trace.type]?nt.filter((function(t){return t.trace.index===kt.trace.index})):[kt]).length;ht(j(\"x\",kt,c),j(\"y\",kt,c));var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<At;Mt++)Ct(nt[Mt]);for(Mt=nt.length-1;Mt>At-1;Mt--)Ct(nt[Mt]);nt=St,mt()}var Pt=t._hoverdata,Ot=[],It=U(t),Dt=V(t);for(Z=0;Z<nt.length;Z++){var zt=nt[Z],Rt=y.makeEventData(zt,zt.trace,zt.cd);if(!1!==zt.hovertemplate){var Ft=!1;zt.cd[zt.index]&&zt.cd[zt.index].ht&&(Ft=zt.cd[zt.index].ht),zt.hovertemplate=Ft||zt.trace.hovertemplate||!1}if(zt.xa&&zt.ya){var Bt=zt.x0+zt.xa._offset,Nt=zt.x1+zt.xa._offset,jt=zt.y0+zt.ya._offset,Ut=zt.y1+zt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+Dt,x1:Ht+Dt,y0:qt+It,y1:Gt+It}}zt.eventData=[Rt],Ot.push(Rt)}t._hoverdata=Ot;var Zt=\"y\"===I&&(it.length>1||nt.length>1)||\"closest\"===I&&ot&&nt.length>1,Yt=p.combine(c.plot_bgcolor||p.background,c.paper_bgcolor),Wt=O(nt,{gd:t,hovermode:I,rotateLabels:Zt,bgColor:Yt,container:c._hoverlayer,outerContainer:c._paper.node(),commonLabelOpts:c.hoverlabel,hoverdistance:c.hoverdistance}),Xt=Wt.hoverLabels;if(y.isUnifiedHover(I)||(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},k=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=D(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?k(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?k(t.by):w(t.bx));else if(a)c=(u=t.crossPos+k(M+p.y)-k(t.by/2-M))+k(t.by);else{var S=w(A*M+p.x),E=S+w(A*t.bx);u=t.crossPos+Math.min(S,E),c=t.crossPos+Math.max(S,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?T: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 S=g[s],E=g[s+1],L=S[S.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(S.push.apply(S,E),g.splice(s+1,1),c=0,l=S.length-1;l>=0;l--)c+=S[l].dp;for(o=c/S.length,l=S.length-1;l>=0;l--)S[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}}}(Xt,Zt,c,Wt.commonLabelBoundingBox),z(Xt,Zt,c._invScaleX,c._invScaleY)),s&&s.tagName){var Jt=g.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Ot);f(n.select(s),Jt?\"pointer\":\"\")}s&&!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,Pt)&&(Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:q,yvals:G}))}(t,e,r,a,s)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=U(i),o=V(i),s=O(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),d=Math.max(s,l),v=t.trace;if(g.traceIs(v,\"gl3d\")){var y=i._fullLayout[v.scene]._scene.container,m=y.offsetLeft,x=y.offsetTop;c+=m,f+=m,h+=x,d+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||p.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,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||p.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})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function O(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,u=e.rotateLabels,f=e.bgColor,d=e.container,v=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||m.HOVERFONT,k=e.fontSize||m.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),O=P+\"Label\",D=A[O];if(void 0===D&&\"multicategory\"===E.type)for(var z=0;z<t.length&&void 0===(D=t[z][O]);z++);var R=H(r,v),F=R.top,B=R.width,N=R.height,j=void 0!==D&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(j){var U,V,q=!0;for(U=0;U<t.length;U++)if(q&&void 0===t[U].zLabel&&(q=!1),V=t[U].hoverinfo||t[U].trace.hoverinfo){var G=Array.isArray(V)?V:V.split(\"+\");if(-1===G.indexOf(\"all\")&&-1===G.indexOf(a)){j=!1;break}}q&&(j=!1)}var Z=d.selectAll(\"g.axistext\").data(j?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var Y={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\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(u),d=p.contrast(u),v={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:u,stroke:f}),l.text(D).call(h.font,v).call(c.positionText,0,0).call(c.convertToTspans,r),t.attr(\"transform\",\"\");var g,y,m=H(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(c.positionText,0,\"top\"===E.side?F-m.bottom-M-S:F-m.top+M+S),g=E._offset+(A.x0+A.x1)/2,y=L._offset+(\"top\"===E.side?0:L._length);var b=m.width/2+S;g<b?(g=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+b+\"v\"+x+(2*S+m.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):g>i.width-b?(g=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+m.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+b+\"v\"+x+(2*S+m.height)+\"H-\"+b+\"V\"+x+M+\"H-\"+M+\"Z\"),Y.minX=g-b,Y.maxX=g+b,\"top\"===E.side?(Y.minY=y-(2*S+m.height),Y.maxY=y-S):(Y.minY=y+S,Y.maxY=y+(2*S+m.height))}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+m.height/2)+\"h\"+P+(2*S+m.width)+\"V-\"+(S+m.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),\"right\"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g<m.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+I+\"h-\"+(m.width-S)+\"V\"+I+\"h\"+(m.width-S)+\"Z\";var B=m.width-g+S;c.positionText(l,B,z),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,v),i=H(r,e.node());Math.round(i.width)<Math.round(m.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else c.positionText(l,C*(S+M),z),O=null;var N=i._topclips.selectAll(\"#\"+R).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",R).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?R:null,r)}t.attr(\"transform\",s(g,y))})),y.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var W=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===W.length)return;var X=i.hoverlabel,J=X.font,K={showlegend:!0,legend:{title:{text:D,font:J},font:J,bgcolor:X.bgcolor,bordercolor:X.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},$={font:J};x(K,$,r._fullData);var Q=$.legend;Q.entries=[];for(var tt=0;tt<W.length;tt++){var et=W[tt];if(\"none\"!==et.hoverinfo){var rt=I(et,!0,a,i,D),nt=rt[0],it=rt[1];et.name=it,et.text=\"\"!==it?it+\" : \"+nt:nt;var at=et.cd[et.index];at&&(at.mc&&(et.mc=at.mc),at.mcc&&(et.mc=at.mcc),at.mlc&&(et.mlc=at.mlc),at.mlcc&&(et.mlc=at.mlcc),at.mlw&&(et.mlw=at.mlw),at.mrc&&(et.mrc=at.mrc),at.dir&&(et.dir=at.dir)),et._distinct=!0,Q.entries.push([et])}}Q.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),Q.layer=d,Q._inHover=!0,Q._groupTitleFont=X.grouptitlefont,b(r,Q);var ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var 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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 d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",min:-2,max:3,editType:\"legend\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",min:-2,max:3,editType:\"legend\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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w,T,k,A=i.coerceFont(p,\"font\",e.font),M=\"h\"===p(\"orientation\");if(M?(w=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(t.xaxis)?(T=1.1,k=\"bottom\"):(T=-.1,k=\"top\")):(w=1.02,T=1,k=\"auto\"),p(\"traceorder\",x),u.isGrouped(e.legend)&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"x\",w),p(\"xanchor\"),p(\"y\",T),p(\"yanchor\",k),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",M?\"left\":\"top\");var S=i.extendFlat({},A,{size:i.bigFont(A.size)});i.coerceFont(p,\"title.font\",S)}}}},43969:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(74875),o=r(73972),s=r(11086),l=r(28569),u=r(91424),c=r(7901),f=r(63893),h=r(85167),p=r(14928),d=r(18783),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(82424),x=r(53630),b=r(10130);function _(t,e,r){var 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n,a,s=t.data()[0][0],l=s.trace,c=o.traceIs(l,\"pie-like\"),h=!r._inHover&&e._context.edits.legendText&&!c,d=r._maxNameLength;s.groupTitle?(n=s.groupTitle.text,a=s.groupTitle.font):(a=r.font,r.entries?n=s.text:(n=c?s.label:l.name,l._meta&&(n=i.templateString(n,l._meta))));var v=i.ensureSingle(t,\"text\",\"legendtext\");v.attr(\"text-anchor\",\"start\").call(u.font,a).text(h?k(n,d):n);var g=r.itemwidth+2*p.itemGap;f.positionText(v,g,0),h?v.call(f.makeEditable,{gd:e,text:n}).call(M,t,e,r).on(\"edit\",(function(n){this.text(k(n,d)).call(M,t,e,r);var a=s.trace._fullInput||{},u={};if(o.hasTransform(a,\"groupby\")){var c=o.getTransformIndices(a,\"groupby\"),f=c[c.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(s.trace._group,n),u=h.constructUpdate()}else u.name=n;return o.call(\"_guiRestyle\",e,u,l.index)})):M(v,t,e,r)}function k(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 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o=a._size,s=b.isVertical(i),l=b.isGrouped(i),c=\"fraction\"===i.entrywidthmode,f=i.borderwidth,h=2*f,d=p.itemGap,v=i.itemwidth+2*d,g=2*(f+d),y=E(i),m=i.y<0||0===i.y&&\"top\"===y,x=i.y>1||1===i.y&&\"bottom\"===y,w=i.tracegroupgap,T={};i._maxHeight=Math.max(m||x?a.height/2:o.h,30);var k=0;i._width=0,i._height=0;var A=function(t){var e=0,r=0,n=t.title.side;return n&&(-1!==n.indexOf(\"left\")&&(e=t._titleWidth),-1!==n.indexOf(\"top\")&&(r=t._titleHeight)),[e,r]}(i);if(s)r.each((function(t){var e=t[0].height;u.setTranslate(this,f+A[0],f+A[1]+i._height+e/2+d),i._height+=e,i._width=Math.max(i._width,t[0].width)})),k=v+i._width,i._width+=d+v+h,i._height+=g,l&&(e.each((function(t,e){u.setTranslate(this,0,e*i.tracegroupgap)})),i._height+=(i._lgroupsLength-1)*i.tracegroupgap);else{var M=S(i),L=i.x<0||0===i.x&&\"right\"===M,C=i.x>1||1===i.x&&\"left\"===M,P=x||m,O=a.width/2;i._maxWidth=Math.max(L?P&&\"left\"===M?o.l+o.w:O:C?P&&\"right\"===M?o.r+o.w:O:o.w,2*v);var I=0,D=0;r.each((function(t){var 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G=t._context.edits,Z=G.legendText||G.legendPosition;r.each((function(t){var e=n.select(this).select(\".legendtoggle\"),r=t[0].height,a=t[0].trace.legendgroup,o=_(t,i,v);l&&\"\"!==a&&(o=T[a]);var f=Z?v:k||o;s||c||(f+=d/2),u.setRect(e,0,-r/2,f,r)}))}(t,z,R,e)},function(){var s,c,v,m,x=f._size,b=e.borderwidth;if(!d){var _=function(t){var e=t._fullLayout.legend,r=S(e),n=E(e);return a.autoMargin(t,\"legend\",{x:e.x,y:e.y,l:e._width*g[r],r:e._width*y[r],b:e._effHeight*y[n],t:e._effHeight*g[n]})}(t);if(_)return;var T=x.l+x.w*e.x-g[S(e)]*e._width,A=x.t+x.h*(1-e.y)-g[E(e)]*e._effHeight;if(f.margin.autoexpand){var M=T,O=A;T=i.constrain(T,0,f.width-e._width),A=i.constrain(A,0,f.height-e._effHeight),T!==M&&i.log(\"Constrain legend.x to make legend fit inside graph\"),A!==O&&i.log(\"Constrain legend.y to make legend fit inside graph\")}u.setTranslate(k,T,A)}if(D.on(\".drag\",null),k.on(\"wheel\",null),d||e._height<=e._maxHeight||t._context.staticPlot){var 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n=v+t,i=m+r;u.setTranslate(k,n,i),s=l.align(n,0,x.l,x.l+x.w,e.xanchor),c=l.align(i,0,x.t+x.h,x.t,e.yanchor)},doneFn:function(){void 0!==s&&void 0!==c&&o.call(\"_guiRelayout\",t,{\"legend.x\":s,\"legend.y\":c})},clickFn:function(e,n){var i=r.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return n.clientX>=t.left&&n.clientX<=t.right&&n.clientY>=t.top&&n.clientY<=t.bottom}));i.size()>0&&w(t,k,i,e,n)}}))}],t)}}(t,e)}},82424:function(t,e,r){\"use strict\";var n=r(73972),i=r(10130);t.exports=function(t,e){var r,a,o=e._inHover,s=i.isGrouped(e),l=i.isReversed(e),u={},c=[],f=!1,h={},p=0,d=0;function v(t,r){if(\"\"!==t&&i.isGrouped(e))-1===c.indexOf(t)?(c.push(t),f=!0,u[t]=[r]):u[t].push(r);else{var n=\"~~i\"+p;c.push(n),u[n]=[r],p++}}for(r=0;r<t.length;r++){var g=t[r],y=g[0],m=y.trace,x=m.legendgroup;if(o||m.visible&&m.showlegend)if(n.traceIs(m,\"pie-like\"))for(h[x]||(h[x]={}),a=0;a<g.length;a++){var b=g[a].label;h[x][b]||(v(x,{label:b,color:g[a].color,i:g[a].i,trace:m,pts:g[a].pts}),h[x][b]=!0,d=Math.max(d,(b||\"\").length))}else v(x,y),d=Math.max(d,(m.name||\"\").length)}if(!c.length)return[];var _=!f||!s,w=[];for(r=0;r<c.length;r++){var T=u[c[r]];_?w.push(T[0]):w.push(T)}for(_&&(w=[w]),r=0;r<w.length;r++){var k=1/0;for(a=0;a<w[r].length;a++){var A=w[r][a].trace.legendrank;k>A&&(k=A)}w[r][0]._groupMinRank=k,w[r][0]._preGroupSort=r}var M=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(w.forEach((function(t,e){t[0]._preGroupSort=e})),w.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),r=0;r<w.length;r++){w[r].forEach((function(t,e){t._preSort=e})),w[r].sort(M);var S=w[r][0].trace,E=null;for(a=0;a<w[r].length;a++){var L=w[r][a].trace.legendgrouptitle;if(L&&L.text){E=L,o&&(L.font=e._groupTitleFont);break}}if(l&&w[r].reverse(),E){var C=!1;for(a=0;a<w[r].length;a++)if(n.traceIs(w[r][a].trace,\"pie-like\")){C=!0;break}w[r].unshift({i:-1,groupTitle:E,noClick:C,trace:{showlegend:S.showlegend,legendgroup:S.legendgroup,visible:\"toggleitem\"===e.groupclick||S.visible}})}for(a=0;a<w[r].length;a++)w[r][a]=[w[r][a]]}return e._lgroupsLength=w.length,e._maxNameLength=d,w}},85167:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=!0;t.exports=function(t,e,r){var o=e._fullLayout;if(!e._dragged&&!e._editing){var s,l=o.legend.itemclick,u=o.legend.itemdoubleclick,c=o.legend.groupclick;if(1===r&&\"toggle\"===l&&\"toggleothers\"===u&&a&&e.data&&e._context.showTips?(n.notifier(n._(e,\"Double-click on legend to isolate one trace\"),\"long\"),a=!1):a=!1,1===r?s=l:2===r&&(s=u),s){var f=\"togglegroup\"===c,h=o.hiddenlabels?o.hiddenlabels.slice():[],p=t.data()[0][0];if(!p.groupTitle||!p.noClick){var d,v,g,y,m,x=e._fullData,b=p.trace,_=b.legendgroup,w={},T=[],k=[],A=[];if(i.traceIs(b,\"pie-like\")){var M=p.label,S=h.indexOf(M);\"toggle\"===s?-1===S?h.push(M):h.splice(S,1):\"toggleothers\"===s&&(h=[],e.calcdata[0].forEach((function(t){M!==t.label&&h.push(t.label)})),e._fullLayout.hiddenlabels&&e._fullLayout.hiddenlabels.length===h.length&&-1===S&&(h=[])),i.call(\"_guiRelayout\",e,\"hiddenlabels\",h)}else{var E,L=_&&_.length,C=[];if(L)for(d=0;d<x.length;d++)(E=x[d]).visible&&E.legendgroup===_&&C.push(d);if(\"toggle\"===s){var P;switch(b.visible){case!0:P=\"legendonly\";break;case!1:P=!1;break;case\"legendonly\":P=!0}if(L)if(f)for(d=0;d<x.length;d++)!1!==x[d].visible&&x[d].legendgroup===_&&j(x[d],P);else j(b,P);else j(b,P)}else if(\"toggleothers\"===s){var O,I,D,z,R=!0;for(d=0;d<x.length;d++)if(O=x[d]===b,D=!0!==x[d].showlegend,!(O||D||(I=L&&x[d].legendgroup===_)||!0!==x[d].visible||i.traceIs(x[d],\"notLegendIsolatable\"))){R=!1;break}for(d=0;d<x.length;d++)if(!1!==x[d].visible&&!i.traceIs(x[d],\"notLegendIsolatable\"))switch(b.visible){case\"legendonly\":j(x[d],!0);break;case!0:z=!!R||\"legendonly\",O=x[d]===b,D=!0!==x[d].showlegend&&!x[d].legendgroup,I=O||L&&x[d].legendgroup===_,j(x[d],!(!I&&!D)||z)}}for(d=0;d<k.length;d++)if(g=k[d]){var F=g.constructUpdate(),B=Object.keys(F);for(v=0;v<B.length;v++)y=B[v],(w[y]=w[y]||[])[A[d]]=F[y]}for(m=Object.keys(w),d=0;d<m.length;d++)for(y=m[d],v=0;v<T.length;v++)w[y].hasOwnProperty(v)||(w[y][v]=void 0);i.call(\"_guiRestyle\",e,w,T)}}}}function N(t,e,r){var n=T.indexOf(t),i=w[e];return i||(i=w[e]=[]),-1===T.indexOf(t)&&(T.push(t),n=T.length-1),i[n]=r,n}function j(t,e){if(!p.groupTitle||f){var r=t._fullInput;if(i.hasTransform(r,\"groupby\")){var a=k[r.index];if(!a){var 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d(t,e){return(e?\"radial\":\"horizontal\")+(t?\"\":\"reversed\")}function v(t){var e=t[0].trace,r=e.contours,n=c.hasLines(e),i=c.hasMarkers(e),a=e.visible&&e.fill&&\"none\"!==e.fill,o=!1,s=!1;if(r){var l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}t.exports=function(t,e,r){var y=e._fullLayout;r||(r=y.legend);var m=\"constant\"===r.itemsizing,x=r.itemwidth,b=(x+2*p.itemGap)/2,_=o(b,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return m?n:Math.min(i,r)};function T(t,a,o){var 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in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},93348:function(t,e,r){\"use strict\";var n=r(26023),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(c(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\"),L(C);var P=[],O=[],I=[],D=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&D.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},37113:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use strict\";t.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},28674:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(85501),s=r(37113),l=r(89573);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(\"visible\")){var l=o(\"step\");\"all\"!==l&&(!a||\"gregorian\"===a||\"month\"!==l&&\"year\"!==l?o(\"stepmode\"):e.stepmode=\"backward\",o(\"count\")),o(\"label\")}}t.exports=function(t,e,r,c,f){var h=t.rangeselector||{},p=a.newContainer(e,\"rangeselector\");function d(t,e){return n.coerce(h,p,s,t,e)}if(d(\"visible\",o(h,p,{name:\"buttons\",handleItemDefaults:u,calendar:f}).length>0)){var v=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);d(\"x\",v[0]),d(\"y\",v[1]),n.noneOrAll(t,e,[\"x\",\"y\"]),d(\"xanchor\"),d(\"yanchor\"),n.coerceFont(d,\"font\",r.font);var g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},21598:function(t,e,r){\"use strict\";var n=r(39898),i=r(73972),a=r(74875),o=r(7901),s=r(91424),l=r(71828),u=l.strTranslate,c=r(63893),f=r(41675),h=r(18783),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(89573),y=r(70565);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return 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w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},70565:function(t,e,r){\"use strict\";var n=r(81041),i=r(71828).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},97218:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(37113)}}},layoutAttributes:r(37113),handleDefaults:r(28674),draw:r(21598)}},75148:function(t,e,r){\"use 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n=r(39898),i=r(73972),a=r(74875),o=r(71828),s=o.strTranslate,l=r(91424),u=r(7901),c=r(92998),f=r(93612),h=r(41675),p=r(28569),d=r(6964),v=r(73251);function g(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function y(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function m(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" 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i=o.ensureSingle(t,\"g\",v.grabberMinClassName),a=o.ensureSingle(t,\"g\",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,\"stroke-width\":v.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,\"rect\",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr(\"height\",n._height),o.ensureSingle(a,\"rect\",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr(\"height\",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+\"-\"+e._uid}var 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d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select(\"g.\"+v.grabberMinClassName).attr(\"transform\",s(m,y)),t.select(\"g.\"+v.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,u,f),\"bottom\"===r.side&&c.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},549:function(t,e,r){\"use strict\";var n=r(41675),i=r(63893),a=r(73251),o=r(18783).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return 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n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){\"use strict\";t.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},8389:function(t,e,r){\"use strict\";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\")},34122:function(t){\"use strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},59402:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},32485:function(t,e,r){\"use strict\";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},53777:function(t,e,r){\"use strict\";var n=r(79952).P,i=r(1426).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},90849:function(t){\"use strict\";t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},35855:function(t,e,r){\"use strict\";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y<g.length)switch(u._fullLayout.selections[y].type){case\"rect\":v=\"select\";break;case\"path\":v=\"lasso\"}}var m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},75549:function(t,e,r){\"use strict\";var n=r(71828).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},47322:function(t,e,r){\"use strict\";var n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551),k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){Z(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);$(e,s),Y(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function H(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=H(t[0])?0:t[0][0][0],n=r,i=H(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(H(t[o]))e.push(q(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(W),u=r.map(W);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=J(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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s,l,u,c,f=i.label.textposition,h=i.label.textangle,p=i.label.padding,d=i.type,v=Math.PI/180*a,g=Math.sin(v),y=Math.cos(v),m=i.label.xanchor,b=i.label.yanchor;if(\"line\"===d){\"start\"===f?(s=t,l=e):\"end\"===f?(s=r,l=n):(s=(t+r)/2,l=(e+n)/2),\"auto\"===m&&(m=\"start\"===f?\"auto\"===h?r>t?\"left\":r<t?\"right\":\"center\":r>t?\"right\":r<t?\"left\":\"center\":\"end\"===f?\"auto\"===h?r>t?\"right\":r<t?\"left\":\"center\":r>t?\"left\":r<t?\"right\":\"center\":\"center\");var _={bottom:-1,middle:0,top:1};if(\"auto\"===h){var w=_[b];u=-p*g*w,c=p*y*w}else u=p*{left:1,center:0,right:-1}[m],c=p*_[b];s+=u,l+=c}else u=p+3,-1!==f.indexOf(\"right\")?(s=Math.max(t,r)-u,\"auto\"===m&&(m=\"right\")):-1!==f.indexOf(\"left\")?(s=Math.min(t,r)+u,\"auto\"===m&&(m=\"left\")):(s=(t+r)/2,\"auto\"===m&&(m=\"center\")),l=-1!==f.indexOf(\"top\")?Math.min(e,n):-1!==f.indexOf(\"bottom\")?Math.max(e,n):(e+n)/2,c=p,\"bottom\"===b?l-=c:\"top\"===b&&(l+=c);var T=x[b],k=i.label.font.size,A=o.height;return{textx:s+(A*T-k)*g,texty:l+-(A*T-k)*y,xanchor:m}}(i,l,a,u,r,I,f.bBox(d.node())),z=D.textx,R=D.texty,F=D.xanchor;d.attr({\"text-anchor\":{left:\"start\",center:\"middle\",right:\"end\"}[F],y:R,x:z,transform:\"rotate(\"+I+\",\"+z+\",\"+R+\")\"}).call(v.positionText,z,R)}}function M(t,e,r){return t.replace(g.segmentRE,(function(t){var n=0,i=t.charAt(0),a=g.paramIsX[i],o=g.paramIsY[i],s=g.numParams[i];return i+t.substr(1).replace(g.paramRE,(function(t){return n>=s||(a[n]?t=e(t):o[n]&&(t=r(t)),n++),t}))}))}function S(t){w(t)&&t._fullLayout._activeShapeIndex>=0&&(u(t),delete t._fullLayout._activeShapeIndex,b(t))}t.exports={draw:b,drawOne:T,eraseActiveShape:function(t){if(w(t)){u(t);var e=t._fullLayout._activeShapeIndex,r=(t.layout||{}).shapes||[];if(e<r.length){for(var n=[],a=0;a<r.length;a++)a!==e&&n.push(r[a]);delete t._fullLayout._activeShapeIndex,i.call(\"_guiRelayout\",t,{shapes:n})}}}}},29241:function(t,e,r){\"use strict\";var n=r(41940),i=r(79952).P,a=r(1426).extendFlat;t.exports={newshape:{line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:0,dflt:4,editType:\"none\"},dash:a({},i,{dflt:\"solid\",editType:\"none\"}),editType:\"none\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"none\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"none\"},drawdirection:{valType:\"enumerated\",values:[\"ortho\",\"horizontal\",\"vertical\",\"diagonal\"],dflt:\"diagonal\",editType:\"none\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"none\"},font:n({editType:\"none\"}),textposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle left\",\"middle center\",\"middle right\",\"bottom left\",\"bottom center\",\"bottom 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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 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n=r(34031);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(89827),supplyLayoutDefaults:r(84726),supplyDrawNewShapeDefaults:r(45547),includeBasePlot:r(76325)(\"shapes\"),calcAutorange:r(5627),draw:n.draw,drawOne:n.drawOne}},75067:function(t,e,r){\"use strict\";var n=r(41940),i=r(35025),a=r(1426).extendDeepAll,o=r(30962).overrideAll,s=r(85594),l=r(44467).templatedArray,u=r(98292),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\")},98292: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}},12343: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})}},44504:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(7901),o=r(91424),s=r(71828),l=s.strTranslate,u=r(63893),c=r(44467).arrayEditor,f=r(98292),h=r(18783),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 l=r.select(\".\"+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on(\"mousemove\",c),o.on(\"touchmove\",c),o.on(\"mouseup\",h),o.on(\"touchend\",h)}}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll(\"g.\"+f.groupClassName).data(a,y);u.enter().append(\"g\").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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n=r(41940),i=r(22399),a=r(1426).extendFlat,o=r(30962).overrideAll,s=r(35025),l=r(44467).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},75909:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},64897:function(t,e,r){\"use strict\";var n=r(71828),i=r(85501),a=r(7163),o=r(75909).name,s=a.buttons;function l(t,e,r){function o(r,i){return 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u=n.select(this);u.call(m,o,s,t).call(M,o,b),u.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(v(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(v(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),u.on(\"mouseover\",(function(){u.call(w)})),u.on(\"mouseout\",(function(){u.call(T,o),c.call(_,o)}))})),c.call(_,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(c.size()?function(t,e,r,n,i,a){var o,s,l,u=i.direction,c=\"up\"===u||\"down\"===u,h=i._dims,p=i.active;if(c)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else for(o=0,l=0;l<p;l++)o+=h.widths[l]+f.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var H=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(H),C&&this.vbar.on(\".drag\",null).call(H)}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 t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},18783:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},24695:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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M=\"\";n.noTicklabelposition&&\"multicategory\"!==A||(M=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===x?[\"outside\",\"inside\"]:\"x\"===b?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==M.indexOf(\"inside\")?\"hide past domain\":\"category\"===A||\"multicategory\"===A?\"allow\":\"hide past div\"),v(e,y);var S=!e.isValidRange(t.range);S&&n.reverseDflt&&(S=\"reversed\"),!r(\"autorange\",S)||\"linear\"!==A&&\"-\"!==A||r(\"rangemode\"),r(\"range\"),e.cleanRange(),p(t,e,r,n),\"category\"===A||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:_.color,C=w.label||y._dfltTitle[b];if(h(t,e,r,A,n),!T)return 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F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. 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s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=D(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function Dt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),H(t),Gt(),q(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Zt([n,i,tt,et]),Ht(),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(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,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<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[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)),Zt([o,s,f,h]),Ht(),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:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[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]||X[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 Ht(){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(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),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 qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[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(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+\".range[0]\"]=a[0],o[n._name+\".range[1]\"]=a[1]):o[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,o)}}function Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(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);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&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(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:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Xt(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:Xt(o,x,{e:\"right\",w:\"left\"}[it])):T=Wt(o,x=Yt(o,d,g)),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 Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(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 n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){\"use strict\";var n=r(39898),i=r(30211),a=r(28569),o=r(6964),s=r(29323).makeDragBox,l=r(85555).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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_=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var u=c(t,\"gl2d\",o);0===u.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,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.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,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.gl3d,n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085);function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=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 w=_.prototype;w.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 T=!0;w.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!T||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(\" 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x=m?function(t){var e=I(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+c,0)},b=m?function(t){return O(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+c)},_=j(d);if(r.radialTickLayout!==_&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=_),y){g.setScale();var w=0,T=m?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g),k=m?T:h.clipEnds(g,T),A=h.getTickSigns(g)[2];m&&((\"top\"===g.ticks&&\"bottom\"===g.side||\"bottom\"===g.ticks&&\"top\"===g.side)&&(A=-A),\"top\"===g.ticks&&\"top\"===g.side&&(w=-g.ticklen),\"bottom\"===g.ticks&&\"bottom\"===g.side&&(w=g.ticklen)),h.drawTicks(n,g,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(g,0,A),transFn:x,crisp:!1}),h.drawGrid(n,g,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(g,w)})}var 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e=y(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+c*r,p-c*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(v,0).labelStandoff,T={xFn:function(t){var e=y(t);return Math.cos(e)*w},yFn:function(t){var e=y(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=y(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=y(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+v._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(v.tickvals||[]).map((function(t){return h.tickText(v,t,!0,!1)})):h.calcTicks(v);if(g&&(S[0].text=\"∞\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(y),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===v.type&&(S=S.filter((function(t){return o.isAngleInsideSector(y(t),r.sectorInRad)}))),v.visible){var E=\"inside\"===v.ticks?-1:1,L=(v.linewidth||1)/2;h.drawTicks(n,v,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*v.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,v,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,v,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var 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,D=E.findEnclosingVertexAngles,z=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,H,q,G,Z,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 W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);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(),H=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Z=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 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId=\"clip\"+e.layoutId+e.id,a=e.clipIdRelative=\"clip-relative\"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.plotContainer=o.ensureSingle(e.container,\"g\",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,v=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],m=d.y[1]-d.y[0],x=y*e.w,b=m*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+u*h,c:f.c+c*h},T.attr(\"d\",y+\"M\"+v+\",\"+_+\"H\"+g+\"L\"+m+\",\"+w+\"L\"+v+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+v+\",\"+_+C+\"M\"+g+\",\"+_+P+\"M\"+m+\",\"+w+O)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function q(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",b=!1,T=z.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=z.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:u.background,stroke:u.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(L)}(0,l,c)):\"pan\"===v?(M.dragOptions.moveFn=H,M.dragOptions.clickFn=F,M.dragOptions.doneFn=q,f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,M.clearOutline(L)):(x(v)||m(v))&&_(a,l,c,M.dragOptions,v)}},S.onmousemove=function(t){g.hover(L,t,M.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){L._dragging||v.unhover(L,t)},v.init(this.dragOptions)}},73972:function(t,e,r){\"use strict\";var n=r(47769),i=r(64213),a=r(75138),o=r(41965),s=r(24401).addStyleRule,l=r(1426),u=r(9012),c=r(10820),f=l.extendFlat,h=l.extendDeepAll;function p(t){var r=t.name,i=t.categories,a=t.meta;if(e.modules[r])n.log(\"Type \"+r+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)b(i,t.name)}(t.basePlotModule);for(var o={},l=0;l<i.length;l++)o[i[l]]=!0,e.allCategories[i[l]]=!0;for(var u in e.modules[r]={_module:t,categories:o},a&&Object.keys(a).length&&(e.modules[r].meta=a),e.allTypes.push(r),e.componentsRegistry)m(u,r);t.layoutAttributes&&f(e.traceLayoutAttributes,t.layoutAttributes);var c=t.basePlotModule,h=c.name;if(\"mapbox\"===h){var p=c.constants.styleRules;for(var d in p)s(\".js-plotly-plot .plotly .mapboxgl-\"+d,p[d])}\"geo\"!==h&&\"mapbox\"!==h||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var 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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 h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},16688:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424),o=r(71828),s=r(73972),l=r(72597).resizeText,u=r(1486),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(69383);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,x=h?(a+o)/2:f.l2p(e)+v,b=r.whiskerwidth,_=h?a*b+(1-b)*x:f.l2p(e-d)+v,w=h?o*b+(1-b)*x:f.l2p(e+d)+v,T=f.l2p(e-s*m)+v,k=f.l2p(e+l*m)+v,A=c.c2p(t.q1,!0),M=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(A,M)+1,Math.max(A,M)-1),E=void 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h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=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<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function 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e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[y(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(c),C=[];O(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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O(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[y(n)](v(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},c)))}return{render:function(t,e,n){var i,a,o,s=t.length,u=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<u&&(u=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,u=(e-s)/8,c=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+u]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,y=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[v]||C[v][0]!==k||C[v][1]!==M){C[v]=[k,M];var L=m(r,a,o,i,v,y,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var O=e?r.lines.blockLineCount:g;h(T,P,S,O,g,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:u}),u},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:O}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function 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t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).f,l=r(5386).s,u=r(1426).extendFlat,c=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\"},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({},c,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},c,{}),outsidetextfont:u({},c,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},c,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}t.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function u(r,n){return i.coerce(t,e,a,r,n)}var c=l(u(\"labels\"),u(\"values\")),f=c.len;if(e._hasLabels=c.hasLabels,e._hasValues=c.hasValues,!e._hasLabels&&e._hasValues&&(u(\"label0\"),u(\"dlabel\")),f){e._length=f,u(\"marker.line.width\")&&u(\"marker.line.color\"),u(\"marker.colors\"),u(\"scalegroup\");var h,p=u(\"text\"),d=u(\"texttemplate\");if(d||(h=u(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),u(\"hovertext\"),u(\"hovertemplate\"),d||h&&\"none\"!==h){var v=u(\"textposition\");s(t,e,n,u,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(v)||\"auto\"===v||\"outside\"===v)&&u(\"automargin\"),(\"inside\"===v||\"auto\"===v||Array.isArray(v))&&u(\"insidetextorientation\")}o(e,n,u);var g=u(\"hole\");if(u(\"title.text\")){var y=u(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==y||(e.title.position=\"top center\"),i.coerceFont(u,\"title.font\",n.font)}u(\"sort\"),u(\"direction\"),u(\"rotation\"),u(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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,l,u,c,f,h,p,d;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function m(t,r){r||(r={});var 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g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var 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l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var 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c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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n=r(82196),i=r(9012),a=r(5386).f,o=r(5386).s,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=Array.isArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},68645:function(t,e,r){\"use strict\";var n=r(78232);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,y)]},calcHover:o}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181);t.exports=function(t,e,r,c){function f(r,i){return n.coerce(t,e,u,r,i)}function h(r,i){return n.coerce2(t,e,u,r,i)}var p=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},28178:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(34603),o=i.fillText,s=r(50606).BADNUM,l=r(77734).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).f,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[u[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},22459:function(t,e,r){\"use 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n=r(9012),i=r(5386).f,a=r(5386).s,o=r(50693),s=r(27670).Y,l=r(34e3),u=r(7055),c=r(1426).extendFlat;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\"},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 path\",\"percent 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=W(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:W(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,u=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",u).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},54532:function(t,e,r){\"use strict\";var n=r(7901),i=r(50693),a=r(12663).axisHoverFormat,o=r(5386).f,s=r(9012),l=r(1426).extendFlat,u=r(30962).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 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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 Array.isArray(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 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var 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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l=e;l>0;--l)r.push(a(o[l-1],s[l-1],arguments[l])),n.push(0)}},s.move=function(t){var e=this.lastT(),r=this.dimension;if(!(t<=e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],u=s[1],c=t-e,f=c>1e-6?1/c:0;this._time.push(t);for(var h=r;h>0;--h){var p=arguments[h];n.push(a(l[h-1],u[h-1],n[o++]+p)),i.push(p*f)}}},s.idle=function(t){var e=this.lastT();if(!(t<e)){var r=this.dimension,n=this._state,i=this._velocity,o=n.length-r,s=this.bounds,l=s[0],u=s[1],c=t-e;this._time.push(t);for(var f=r-1;f>=0;--f)n.push(a(l[f],u[f],n[o]+c*i[o])),i.push(0),o+=1}}},7080:function(t){\"use strict\";function e(t,e,r,n,i,a){this._color=t,this.key=e,this.value=r,this.left=n,this.right=i,this._count=a}function r(t){return new e(t._color,t.key,t.value,t.left,t.right,t._count)}function n(t,r){return new e(t,r.key,r.value,r.left,r.right,r._count)}function i(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function 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c=o(t,s.key);l.push(s),u.push(c),s=c<=0?s.left:s.right}l.push(new e(0,t,r,null,null,1));for(var f=l.length-2;f>=0;--f)s=l[f],u[f]<=0?l[f]=new e(s._color,s.key,s.value,l[f+1],s.right,s._count+1):l[f]=new e(s._color,s.key,s.value,s.left,l[f+1],s._count+1);for(f=l.length-1;f>1;--f){var h=l[f-1];if(s=l[f],1===h._color||1===s._color)break;var p=l[f-2];if(p.left===h)if(h.left===s){if(!(d=p.right)||0!==d._color){p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).left===p?v.left=h:v.right=h);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){h.right=s.left,p._color=0,p.left=s.right,s._color=1,s.left=h,s.right=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).left===p?v.left=s:v.right=s);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else 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 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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 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c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},2771:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function v(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=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 n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=v(t,n),c=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));c.generateMipmap(),c.minFilter=t.LINEAR_MIPMAP_LINEAR,c.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,c,s,l,f,p,m,g,y,x,r.traceType||\"cone\");return b.update(e),b}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, 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RESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var 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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\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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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)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if(h[p+3]||h[p+2]||h[p+1]){if(u+=g[p]+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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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]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,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}function S(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}function E(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 L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(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 P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),u=L(t),f=C(t),h=P(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),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:y,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,u,f,h,d,m,v,g,y,x,b,k,_,w,A,O,R,I,D,z,F,B,N);return j.update(e),j}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid 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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 geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha 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outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:40,offset:0},{buffer:u,size:3,stride:40,offset:16},{buffer:u,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new M(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 w in t)y[w]=t[w];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function M(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 A([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}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.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=L.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 L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=w.slice(),I=[1,0,0,0,1,0,0,0,1];function D(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=I,n.vertexColor=this.vertexColor;var s=O;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=C(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=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var 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=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return D.call(this,t,!1)},S.drawTransparent=function(t){return D.call(this,t,!0)};var z={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=z;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;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=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var 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()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var 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},S.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))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var 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),k=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=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+T[q][0],Y=y+T[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];N[j++]=Z,N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||u(t),\"number\"==typeof arguments[1])return y(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return y(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=c(e)?e:e.raw;if(r)return m(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function v(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 g(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 y(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=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function m(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(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=v(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 c,h,d=0;if(2===o.length)d=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])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)c=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];h=a.malloc(y,r);var x=n(h,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),c=h.subarray(0,y)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,u,c),l||a.free(h),new p(t,b,o[0],o[1],d,u)}Object.defineProperties(d,{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 h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),d.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},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.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)},d.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=c(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,c){var h=c.dtype,p=c.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,g=0,y=v(p,c.stride.slice());if(\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],c=n(c.data,p,[c.stride[0],c.stride[1],1],c.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=c.size,x=u.indexOf(o)<0;if(x&&u.push(o),d===l&&y)0===c.offset&&c.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,c.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,c.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,c.data.subarray(c.offset,c.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,c.data.subarray(c.offset,c.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,c):i.assign(_,c),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,m)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},3056:function(t){\"use strict\";t.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error(\"gl-vao: Too many vertex attributes\");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(\"number\"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(\"gl-vao: Invalid vertex attribute\");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i<n;++i)t.disableVertexAttribArray(i)}},7220:function(t,e,r){\"use strict\";var n=r(3056);function 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strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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oe=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};oe.prototype.compare=function(t,e){return this.collator.compare(t,e)},oe.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var se=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},le=function(t){this.sections=t};le.fromString=function(t){return new le([new se(t,null,null,null,null)])},le.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},le.factory=function(t){return t instanceof le?t:le.fromString(t)},le.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},le.prototype.serialize=function(){for(var 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de=function(t,e){this.type=t,this.value=e};de.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!fe(t[1]))return e.error(\"invalid value\");var r=t[1],n=he(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new de(n,r)},de.prototype.evaluate=function(){return this.value},de.prototype.eachChild=function(){},de.prototype.outputDefined=function(){return!0},de.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof ae?[\"rgba\"].concat(this.value.toArray()):this.value instanceof le?this.value.serialize():this.value};var ve=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ve.prototype.toJSON=function(){return this.message};var ge={string:Ht,number:Vt,boolean:qt,object:Zt},ye=function(t,e){this.type=t,this.args=e};ye.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ge)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ge[s],n++}else a=Yt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=Kt(a,o)}else r=ge[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Yt);if(!u)return null;l.push(u)}return new ye(r,l)},ye.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!te(this.type,he(r)))return r;if(e===this.args.length-1)throw new ve(\"Expected value to be of type \"+$t(this.type)+\", but found \"+$t(he(r))+\" instead.\")}return null},ye.prototype.eachChild=function(t){this.args.forEach(t)},ye.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ye.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var me=function(t){this.type=Xt,this.sections=t};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Vt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Kt(Ht))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Gt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Yt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new me(n)},me.prototype.evaluate=function(t){return new le(this.sections.map((function(e){var r=e.content.evaluate(t);return he(r)===Jt?new se(\"\",r,null,null,null):new se(pe(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},me.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},me.prototype.outputDefined=function(){return!1},me.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var xe=function(t){this.type=Jt,this.input=t};xe.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Ht);return r?new xe(r):e.error(\"No image name provided.\")},xe.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ue.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},xe.prototype.eachChild=function(t){t(this.input)},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var be={\"to-boolean\":qt,\"to-color\":Gt,\"to-number\":Vt,\"to-string\":Ht},_e=function(t,e){this.type=t,this.args=e};_e.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[0];if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");for(var n=be[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,Yt);if(!o)return null;i.push(o)}return new _e(n,i)},_e.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof ae)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":ce(e[0],e[1],e[2],e[3])))return new ae(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new ve(r||\"Could not parse 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xr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};xr.prototype.evaluate=function(t){return this.result.evaluate(t)},xr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},xr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new xr(r,o):null},xr.prototype.outputDefined=function(){return this.result.outputDefined()},xr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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_r=function(t,e){this.type=qt,this.needle=t,this.haystack=e};_r.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,Yt),n=e.parse(t[2],2,Yt);return r&&n?ee(r.type,[qt,Ht,Vt,Ut,Yt])?new _r(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+$t(r.type)+\" instead\"):null},_r.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!re(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ve(\"Expected first argument to be of type boolean, string, number or null, but found \"+$t(he(e))+\" instead.\");if(!re(r,[\"string\",\"array\"]))throw new ve(\"Expected second argument to be of type array or string, but found \"+$t(he(r))+\" instead.\");return 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e=e.concat(hn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Yr(r)&&0===r.length&&e.push(new Dt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Bn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Dt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Dt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Zr(t.valueSpec)&&c.push(new Dt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!qr(t.valueSpec)?c.push(new Dt(t.key,t.value,\"property functions not supported\")):s&&!Gr(t.valueSpec)&&c.push(new Dt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Dt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Yr(a))return[new Dt(s,a,\"array expected, \"+Yr(a)+\" found\")];if(2!==a.length)return[new Dt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Yr(a[0]))return[new Dt(s,a,\"object expected, \"+Yr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Dt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Dt(s,a,\"object stop key must have value\")];if(n&&n>Ft(a[0].zoom))return[new Dt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ft(a[0].zoom)!==n&&(n=Ft(a[0].zoom),r=void 0,o={}),e=e.concat(fn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:pn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return nn(Bt(a[1]))?e.concat([new Dt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Bn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Yr(t.value),l=Ft(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Dt(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 Dt(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 qr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Dt(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 Dt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Dt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Dt(t.key,u,\"integer expected, found 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mn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function xn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};yn(t)||(t=wn(t));var e=an(t,mn);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:_n(t)}}function bn(t,e){return t<e?-1:t>e?1:0}function _n(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(_n(t[e]))return!0;return!1}function wn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Tn(t[1],t[2],\"==\"):\"!=\"===r?Mn(Tn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Tn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(wn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(wn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(wn).map(Mn)):\"in\"===r?kn(t[1],t.slice(2)):\"!in\"===r?Mn(kn(t[1],t.slice(2))):\"has\"===r?An(t[1]):\"!has\"===r?Mn(An(t[1])):\"within\"!==r||t}function Tn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function kn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(bn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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found\"));for(var o=2;o<e.length;o++)n=Yr(e[o]),\"$type\"===Ft(e[1])?a=a.concat(gn({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 Dt(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(En({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Dt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Dt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Ln(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Dt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Yr(a)&&qr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Dt(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 Dt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Wr(Bt(a))&&\"identity\"===Ft(a.type)&&f.push(new Dt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ft(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Dt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Dt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Dt(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 Dt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Dt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Dt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Dt(n,r,'missing required property \"source\"'));return e=e.concat(fn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Bn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Sn,layout:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Pn(Rt({layerType:s},t))}}})},paint:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Cn(Rt({layerType:s},t))}}})}}})),e}function In(t){var e=t.value,r=t.key,n=Yr(e);return\"string\"!==n?[new Dt(r,e,\"string expected, \"+n+\" found\")]:[]}var Dn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Yr(r))return In({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,In({key:e+\".\"+i,value:r[i]}));return n}};function zn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Dt(r,e,'\"type\" is required')];var a,o=Ft(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return fn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Dn});case\"geojson\":if(a=fn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Dn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,vn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,vn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return fn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return fn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Dt(r,null,\"Please use runtime APIs to add canvas 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r=r.concat(Bn({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:Nn,\"*\":function(){return[]}}})),t.constants&&(r=r.concat(zt({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),Un(r)}function Un(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Vn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Un(t.apply(this,e))}}jn.source=Vn(zn),jn.light=Vn(Rn),jn.layer=Vn(On),jn.filter=Vn(Sn),jn.paintProperty=Vn(Cn),jn.layoutProperty=Vn(Pn);var Hn=jn,qn=Hn.light,Gn=Hn.paintProperty,Zn=Hn.layoutProperty;function Yn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new Pt(new Error(a.message))),r=!0}return r}var Wn=Xn;function Xn(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length],u=i[3+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Xn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Xn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Xn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Xn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Xn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Xn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Xn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Xn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Xn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[3+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Jn=self.ImageData,Kn=self.ImageBitmap,$n={};function Qn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),$n[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ti in Qn(\"Object\",Object),Wn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Wn.deserialize=function(t){return new Wn(t.buffer)},Qn(\"Grid\",Wn),Qn(\"Color\",ae),Qn(\"Error\",Error),Qn(\"ResolvedImage\",ue),Qn(\"StylePropertyFunction\",un),Qn(\"StyleExpression\",rn,{omit:[\"_evaluator\"]}),Qn(\"ZoomDependentExpression\",sn),Qn(\"ZoomConstantExpression\",on),Qn(\"CompoundExpression\",ke,{omit:[\"_evaluate\"]}),Fr)Fr[ti]._classRegistryKey||Qn(\"Expression_\"+ti,Fr[ti]);function ei(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function ri(t){return Kn&&t instanceof Kn}function ni(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ei(t)||ri(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Jn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(ni(o,e))}return 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t&&t.indexOf(\"NetworkError\")>-1&&(xi=yi),mi&&mi(t)};function wi(){Ti.fire(new Ct(\"pluginStateChange\",{pluginStatus:xi,pluginURL:bi}))}var Ti=new Ot,ki=function(){return xi},Ai=function(){if(xi!==di||!bi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");xi=vi,wi(),bi&&Tt({url:bi},(function(t){t?_i(t):(xi=gi,wi())}))},Mi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return xi===gi||null!=Mi.applyArabicShaping},isLoading:function(){return xi===vi},setState:function(t){xi=t.pluginStatus,bi=t.pluginURL},isParsed:function(){return null!=Mi.applyArabicShaping&&null!=Mi.processBidirectionalText&&null!=Mi.processStyledBidirectionalText},getPluginURL:function(){return bi}},Si=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new 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0===e?t.specification.default:e,t.specification)};Ei.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Ei.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Li=function(t){this.property=t,this.value=new Ei(t,void 0)};Li.prototype.transitioned=function(t,e){return new Pi(this.property,this.value,e,f({},t.transition,this.transition),t.now)},Li.prototype.untransitioned=function(){return new Pi(this.property,this.value,null,{},0)};var Ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Ci.prototype.getValue=function(t){return b(this._values[t].value.value)},Ci.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Li(this._values[t].property)),this._values[t].value=new Ei(this._values[t].property,null===e?void 0:b(e))},Ci.prototype.getTransition=function(t){return b(this._values[t].transition)},Ci.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Li(this._values[t].property)),this._values[t].transition=b(e)||void 0},Ci.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},Ci.prototype.transitioned=function(t,e){for(var r=new Oi(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},Ci.prototype.untransitioned=function(){for(var t=new Oi(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 Pi=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)};Pi.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 Oi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Oi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new zi(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 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Di=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Di.prototype.isConstant=function(){return\"constant\"===this.value.kind},Di.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Di.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var zi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};zi.prototype.get=function(t){return this._values[t]};var Ri=function(t){this.specification=t};Ri.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},Ri.prototype.interpolate=function(t,e,r){var n=$e[this.specification.type];return n?n(t,e,r):t};var Fi=function(t,e){this.specification=t,this.overrides=e};Fi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Di(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Di(this,t.expression,e)},Fi.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 Di(this,{kind:\"constant\",value:void 0},t.parameters);var n=$e[this.specification.type];return n?new Di(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Fi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Bi=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 Di(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 Di(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 Di(this,{kind:\"constant\",value:s},e)}return new Di(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}(Fi),Ni=function(t){this.specification=t};Ni.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Si(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Si(Math.floor(e.zoom),e)),t.expression.evaluate(new Si(Math.floor(e.zoom+1),e)),e)}},Ni.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ni.prototype.interpolate=function(t){return t};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},ji.prototype.interpolate=function(){return!1};var Ui=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Ei(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new 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zi(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(Zn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Vi)?this._transitionablePaint.getTransition(t.slice(0,-Vi.length)):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(Gn,n,t,e,r))return!1}if(y(t,Vi))return this._transitionablePaint.setTransition(t.slice(0,-Vi.length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 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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}(Zi);Ki.prototype.bytesPerElement=12,Qn(\"StructArrayLayout2i4i12\",Ki);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Zi);$i.prototype.bytesPerElement=8,Qn(\"StructArrayLayout2i4ub8\",$i);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Zi);Qi.prototype.bytesPerElement=18,Qn(\"StructArrayLayout8ui2ub18\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Zi);la.prototype.bytesPerElement=48,Qn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){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.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zi);va.prototype.bytesPerElement=8,Qn(\"StructArrayLayout2f8\",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Zi);ga.prototype.bytesPerElement=16,Qn(\"StructArrayLayout4f16\",ga);var ya=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Gi);ya.prototype.size=20;var ma=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 ya(this,t)},e}(na);Qn(\"CollisionBoxArray\",ma);var xa=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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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}(Gi);xa.prototype.size=48;var ba=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 xa(this,t)},e}(la);Qn(\"PlacedSymbolArray\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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Si(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Qa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Qa.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=Ja(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Qa.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))},Qa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var 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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))}},to.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))},to.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},to.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},to.prototype.getBinding=function(t,e,r){return new Ha(t,e)};var eo=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};eo.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)},eo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},eo.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 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Di&&qr(o.property.specification)){var s=io(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new $a(l.value,s):new Ka(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=ao(a,u,\"source\");this.binders[a]=h?new eo(l,u,c,e,p,t.id):new Qa(l,s,u,p),i.push(\"/a_\"+a)}else{var d=ao(a,u,\"composite\");this.binders[a]=new to(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ro.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Qa||e instanceof to?e.maxValue:0},ro.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Qa||o instanceof to||o instanceof 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Ka||i instanceof $a||i instanceof to)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},ro.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)}},ro.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof eo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Qa||r instanceof to)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ro.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Qa||r instanceof to||r instanceof eo)&&r.upload(t)}this.updatePaintBuffers()},ro.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Qa||e instanceof to||e instanceof eo)&&e.destroy()}};var no=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ro(o,r,n,t)}this.needsUpload=!1,this._featureMap=new Ra,this._bufferOffset=0};function 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Gs(t,e,r){if(3===t){var n=new Vs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Hs.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Bs(this._pbf,e,this.extent,this._keys,this._values)};var Zs={VectorTile:function(t,e){this.layers=t.readFields(Gs,{},e)},VectorTileFeature:Bs,VectorTileLayer:Vs},Ys=Zs.VectorTileFeature.types,Ws=Math.pow(2,13);function Xs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ws)+o,i*Ws*2,a*Ws*2,Math.round(s))}var Js=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 Ki,this.indexArray=new sa,this.programConfigurations=new no(Fs,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ks(t,e){return t.x===e.x&&(t.x<0||t.x>oo)||t.y===e.y&&(t.y<0||t.y>oo)}Js.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ps(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?uo(o):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:uo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Os(\"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)}}},Js.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)}},Js.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Js.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Js.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Js.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Fs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Js.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Js.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Ls(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>oo}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>oo}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!Ks(y,m)){f.vertexLength+4>Ea.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),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Xs(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>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ys[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];Xs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Ko(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)},Qn(\"FillExtrusionBucket\",Js,{omit:[\"layers\",\"features\"]});var $s={paint:new Ui({\"fill-extrusion-opacity\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Bi(It[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Qs=function(t){function e(e){t.call(this,e,$s)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Js(t)},e.prototype.queryRadius=function(){return Ao(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=Mo(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];zo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;vo(r,e)&&(n=el(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];ho(r,f)&&(n=Math.min(n,el(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Hi);function tl(t,e){return t.x*e.x+t.y*e.y}function el(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=tl(s,s),f=tl(s,l),h=tl(l,l),p=tl(u,s),d=tl(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 rl=Yi([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,nl=Zs.VectorTileFeature.types,il=Math.cos(Math.PI/180*37.5),al=Math.pow(2,14)/.5,ol=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new $i,this.indexArray=new sa,this.programConfigurations=new no(rl,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ol.prototype.populate=function(t,e,r){this.hasPattern=Ps(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?uo(l):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),p,r)){h||(p.geometry=uo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Os(\"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)}},ol.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ol.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)}},ol.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ol.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ol.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,rl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ol.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ol.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ol.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===nl[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?122880/(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<il&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},ol.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>al/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ol.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},ol.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(al-1):this.distance},ol.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Qn(\"LineBucket\",ol,{omit:[\"layers\",\"patternFeatures\"]});var sl=new Ui({\"line-cap\":new Ri(It.layout_line[\"line-cap\"]),\"line-join\":new Fi(It.layout_line[\"line-join\"]),\"line-miter-limit\":new Ri(It.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Ri(It.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Fi(It.layout_line[\"line-sort-key\"])}),ll={paint:new Ui({\"line-opacity\":new Fi(It.paint_line[\"line-opacity\"]),\"line-color\":new Fi(It.paint_line[\"line-color\"]),\"line-translate\":new Ri(It.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Ri(It.paint_line[\"line-translate-anchor\"]),\"line-width\":new Fi(It.paint_line[\"line-width\"]),\"line-gap-width\":new Fi(It.paint_line[\"line-gap-width\"]),\"line-offset\":new Fi(It.paint_line[\"line-offset\"]),\"line-blur\":new Fi(It.paint_line[\"line-blur\"]),\"line-dasharray\":new Ni(It.paint_line[\"line-dasharray\"]),\"line-pattern\":new Bi(It.paint_line[\"line-pattern\"]),\"line-gradient\":new ji(It.paint_line[\"line-gradient\"])}),layout:sl},ul=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Si(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Fi),cl=new ul(ll.paint.properties[\"line-width\"].specification);cl.useIntegerZoom=!0;var fl=function(t){function e(e){t.call(this,e,ll)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Zo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=cl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new ol(t)},e.prototype.queryRadius=function(t){var e=t,r=hl(ko(\"line-width\",this,e),ko(\"line-gap-width\",this,e)),n=ko(\"line-offset\",this,e);return r/2+Math.abs(n)+Ao(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Mo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*hl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(wo(t,i[a]))return!0;if(go(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Hi);function hl(t,e){return e>0?e+2*t:t}var 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h=Lu(n.stretch-x,b,c,t.left),p=Cu(n.fixed-T,k,n.stretch,v),d=Lu(i.stretch-_,w,f,t.top),y=Cu(i.fixed-A,M,i.stretch,g),m=Lu(l.stretch-x,b,c,t.left),S=Cu(l.fixed-T,k,l.stretch,v),E=Lu(u.stretch-_,w,f,t.top),L=Cu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,H=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Eu(h,y,v),C=Eu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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sa,this.programConfigurations=t,this.segments=new Ea,this.dynamicLayoutVertexArray=new ea,this.opacityVertexArray=new ra,this.placedSymbolArray=new ba};Xu.prototype.isEmpty=function(){return 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e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=du(this.zoom,e[\"text-size\"]),this.iconSizeData=du(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Jl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Ku.prototype.createArrays=function(){this.text=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ta,this.lineVertexArray=new ka,this.symbolInstances=new wa},Ku.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=xl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Ku.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 le&&!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 Si(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?uo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=uo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=le.factory(A);Wu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ki()||this.hasRTLText&&Mi.isParsed())&&(k=ml(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ue?E:ue.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:uo(m),properties:m.properties,type:qu[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(Jl.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=si(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Ku.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))},Ku.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ku.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ku.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},Ku.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ku.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ku.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}},Ku.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===Jl.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];Zu(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),Zu(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),Zu(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),Zu(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),Yu(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)},Ku.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))},Ku.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},Ku.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)}},Ku.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ju(ia,gl.members,pa),this.iconCollisionBox=new Ju(ia,gl.members,pa);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)}},Ku.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},Ku.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))}},Ku.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ku.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ku.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ku.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ku.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ku.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)},Ku.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},Ku.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})},Ku.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)}},Qn(\"SymbolBucket\",Ku,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Ku.MAX_GLYPHS=65535,Ku.addDynamicAttributes=Yu;var $u=new Ui({\"symbol-placement\":new Ri(It.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Ri(It.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Ri(It.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Fi(It.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Ri(It.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Ri(It.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Ri(It.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Ri(It.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Ri(It.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Fi(It.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Ri(It.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Ri(It.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Fi(It.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Fi(It.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Ri(It.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Ri(It.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Fi(It.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Fi(It.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Ri(It.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Ri(It.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Ri(It.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Fi(It.layout_symbol[\"text-field\"]),\"text-font\":new Fi(It.layout_symbol[\"text-font\"]),\"text-size\":new Fi(It.layout_symbol[\"text-size\"]),\"text-max-width\":new Fi(It.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Ri(It.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Fi(It.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Fi(It.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Fi(It.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Ri(It.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Fi(It.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Ri(It.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Ri(It.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Fi(It.layout_symbol[\"text-rotate\"]),\"text-padding\":new Ri(It.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Ri(It.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Fi(It.layout_symbol[\"text-transform\"]),\"text-offset\":new Fi(It.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Ri(It.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Ri(It.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Ri(It.layout_symbol[\"text-optional\"])}),Qu={paint:new Ui({\"icon-opacity\":new Fi(It.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Fi(It.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Fi(It.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Fi(It.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Fi(It.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Ri(It.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Ri(It.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Fi(It.paint_symbol[\"text-opacity\"]),\"text-color\":new Fi(It.paint_symbol[\"text-color\"],{runtimeType:Gt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Fi(It.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Fi(It.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Fi(It.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Ri(It.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Ri(It.paint_symbol[\"text-translate-anchor\"])}),layout:$u},tc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ut,this.defaultValue=t};tc.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},tc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},tc.prototype.outputDefined=function(){return!1},tc.prototype.serialize=function(){return null},Qn(\"FormatSectionOverride\",tc,{omit:[\"defaultValue\"]});var ec=function(t){function e(e){t.call(this,e,Qu)}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()||nn(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 Ku(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Qu.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 tc(a),s=new rn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new on(\"source\",s):new sn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Di(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=Qu.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 le)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof de&&he(t.value)===Xt){var e=t.value;a(e.sections)}else t instanceof me?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Hi),rc={paint:new Ui({\"background-color\":new Ri(It.paint_background[\"background-color\"]),\"background-pattern\":new Ni(It.paint_background[\"background-pattern\"]),\"background-opacity\":new Ri(It.paint_background[\"background-opacity\"])})},nc=function(t){function e(e){t.call(this,e,rc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi),ic={paint:new Ui({\"raster-opacity\":new Ri(It.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Ri(It.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Ri(It.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Ri(It.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Ri(It.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Ri(It.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Ri(It.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Ri(It.paint_raster[\"raster-fade-duration\"])})},ac=function(t){function e(e){t.call(this,e,ic)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi);var oc=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}(Hi),sc={circle:Fo,heatmap:Yo,hillshade:Xo,fill:Rs,\"fill-extrusion\":Qs,line:fl,symbol:ec,background:nc,raster:ac};var lc=self.HTMLImageElement,uc=self.HTMLCanvasElement,cc=self.HTMLVideoElement,fc=self.ImageData,hc=self.ImageBitmap,pc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};pc.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 lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?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 lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?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)},pc.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)},pc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},pc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var dc=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()})};dc.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))},dc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var vc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new dc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function gc(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]}vc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ni(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},vc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},vc.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)}},vc.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(ii(e.error)):n(null,ii(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ni(e):null,data:ni(n,a)},a)}:function(t){i=!0},s=null,l=ii(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)}},vc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var yc=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]))};yc.prototype.setNorthEast=function(t){return this._ne=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.setSouthWest=function(t){return this._sw=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof xc)e=t,r=t;else{if(!(t instanceof yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(yc.convert(a))}var o=t;return this.extend(xc.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 xc(e.lng,e.lat),this._ne=new xc(r.lng,r.lat)),this},yc.prototype.getCenter=function(){return new xc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},yc.prototype.getSouthWest=function(){return this._sw},yc.prototype.getNorthEast=function(){return this._ne},yc.prototype.getNorthWest=function(){return new xc(this.getWest(),this.getNorth())},yc.prototype.getSouthEast=function(){return new xc(this.getEast(),this.getSouth())},yc.prototype.getWest=function(){return this._sw.lng},yc.prototype.getSouth=function(){return this._sw.lat},yc.prototype.getEast=function(){return this._ne.lng},yc.prototype.getNorth=function(){return this._ne.lat},yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},yc.prototype.contains=function(t){var e=xc.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},yc.convert=function(t){return!t||t instanceof yc?t:new yc(t)};var mc=6371008.8,xc=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\")};xc.prototype.wrap=function(){return new xc(c(this.lng,-180,180),this.lat)},xc.prototype.toArray=function(){return[this.lng,this.lat]},xc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},xc.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 mc*Math.acos(Math.min(i,1))},xc.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 yc(new xc(this.lng-r,this.lat-e),new xc(this.lng+r,this.lat+e))},xc.convert=function(t){if(t instanceof xc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new xc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new xc(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 bc=2*Math.PI*mc;function _c(t){return bc*Math.cos(t*Math.PI/180)}function wc(t){return(180+t)/360}function Tc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function kc(t,e){return t/_c(e)}function Ac(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Mc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Mc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=xc.convert(t);return new Mc(wc(r.lng),Tc(r.lat),kc(e,r.lat))},Mc.prototype.toLngLat=function(){return new xc(360*this.x-180,Ac(this.y))},Mc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*_c(Ac(e));var t,e},Mc.prototype.meterInMercatorCoordinateUnits=function(){return 1/bc*(t=Ac(this.y),1/Math.cos(t*Math.PI/180));var t};var Sc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Cc(0,t,t,e,r)};Sc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Sc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=gc(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)},Sc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*oo,(t.y*e-this.y)*oo)},Sc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Ec=function(t,e){this.wrap=t,this.canonical=e,this.key=Cc(t,e.z,e.z,e.x,e.y)},Lc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Sc(r,+n,+i),this.key=Cc(e,t,r,n,i)};function Cc(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)}Lc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Lc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Lc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Lc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Lc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Cc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Cc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Lc.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},Lc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Lc(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 Lc(e,this.wrap,e,r,n),new Lc(e,this.wrap,e,r+1,n),new Lc(e,this.wrap,e,r,n+1),new Lc(e,this.wrap,e,r+1,n+1)]},Lc.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))},Lc.prototype.wrapped=function(){return new Lc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.unwrapTo=function(t){return new Lc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Lc.prototype.toUnwrapped=function(){return new Ec(this.wrap,this.canonical)},Lc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Lc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Mc(t.x-this.wrap,t.y))},Qn(\"CanonicalTileID\",Sc),Qn(\"OverscaledTileID\",Lc,{omit:[\"posMatrix\"]});var Pc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Pc.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])},Pc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Pc.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)},Pc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Pc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Pc.prototype.getPixels=function(){return new qo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Pc.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)]},Qn(\"DEMData\",Pc);var Oc=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}};Oc.prototype.encode=function(t){return this._stringToNumber[t]},Oc.prototype.decode=function(t){return this._numberToString[t]};var Ic=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},Dc={geometry:{configurable:!0}};Dc.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},Dc.geometry.set=function(t){this._geometry=t},Ic.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(Ic.prototype,Dc);var zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};zc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},zc.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}},zc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},zc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Rc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Wn(oo,16,0),this.grid3D=new Wn(oo,16,0),this.featureIndexArray=new Ma,this.promoteId=e};function Fc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof zi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Bc(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 Nc(t,e){return e-t}Rc.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]<oo&&c[1]<oo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Rc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Zs.VectorTile(new Tl(this.rawTileData)).layers,this.sourceLayerCoder=new Oc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Rc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=oo/t.tileSize/t.scale,l=xn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Bc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Bc(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(wo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(To(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(Nc);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=uo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Rc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Si(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Fc(x.paint,y.paint,p,m,o),x.layout=Fc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Ic(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Rc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=xn(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},Rc.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},Rc.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},Qn(\"FeatureIndex\",Rc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Ku){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 Ku&&o.hasRTLText){this.hasRTLText=!0,Mi.isLoading()||Mi.isLoaded()||\"deferred\"!==ki()||Ai();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 ma},jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},jc.prototype.getBucket=function(t){return this.buckets[t.id]},jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new pc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new pc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=xn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Si(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Ic(p,l,u,c,d);v.tile=f,t.push(v)}}}},jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Uc=self.performance,Vc=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Uc.mark(this._marks.start)};Vc.prototype.finish=function(){Uc.mark(this._marks.end);var t=Uc.getEntriesByName(this._marks.measure);return 0===t.length&&(Uc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Uc.getEntriesByName(this._marks.measure),Uc.clearMarks(this._marks.start),Uc.clearMarks(this._marks.end),Uc.clearMeasures(this._marks.measure)),t},t.Actor=vc,t.AlphaImage=Ho,t.CanonicalTileID=Sc,t.CollisionBoxArray=ma,t.Color=ae,t.DEMData=Pc,t.DataConstantProperty=Ri,t.DictionaryCoder=Oc,t.EXTENT=oo,t.ErrorEvent=Pt,t.EvaluationParameters=Si,t.Event=Ct,t.Evented=Ot,t.FeatureIndex=Rc,t.FillBucket=Is,t.FillExtrusionBucket=Js,t.ImageAtlas=Xl,t.ImagePosition=Yl,t.LineBucket=ol,t.LngLat=xc,t.LngLatBounds=yc,t.MercatorCoordinate=Mc,t.ONE_EM=bl,t.OverscaledTileID=Lc,t.Point=a,t.Point$1=a,t.Properties=Ui,t.Protobuf=Tl,t.RGBAImage=qo,t.RequestManager=q,t.RequestPerformance=Vc,t.ResourceType=mt,t.SegmentVector=Ea,t.SourceFeatureState=zc,t.StructArrayLayout1ui2=da,t.StructArrayLayout2f1f2i16=aa,t.StructArrayLayout2i4=Xi,t.StructArrayLayout3ui6=sa,t.StructArrayLayout4i8=Ji,t.SymbolBucket=Ku,t.Texture=pc,t.Tile=jc,t.Transitionable=Ci,t.Uniform1f=Ha,t.Uniform1i=Va,t.Uniform2f=qa,t.Uniform3f=Ga,t.Uniform4f=Za,t.UniformColor=Ya,t.UniformMatrix4f=Xa,t.UnwrappedTileID=Ec,t.ValidationError=Dt,t.WritingMode=Jl,t.ZoomHistory=ai,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=Yu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Au,t.clone=function(t){var e=new Lo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Lo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=yl,t.config=B,t.create=function(){var t=new Lo(16);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Lo(9);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Lo(4);return Lo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=an,t.createLayout=Yi,t.createStyleLayer=function(t){return\"custom\"===t.type?new oc(t):new sc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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t;if(o<r||a>=n)return null;for(var l=[],u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.type,p=0===i?c.minX:c.minY,d=0===i?c.maxX:c.maxY;if(p>=r&&d<n)l.push(c);else if(!(d<r||p>=n)){var v=[];if(\"Point\"===h||\"MultiPoint\"===h)ut(f,v,r,n,i);else if(\"LineString\"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ht(f,v,r,n,i,!1);else if(\"Polygon\"===h)ht(f,v,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var y=[];ht(f[g],y,r,n,i,!0),y.length&&v.push(y)}if(v.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<v.length;g++)l.push(tt(c.id,h,v[g],c.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===v.length?(h=\"LineString\",v=v[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===v.length?\"Point\":\"MultiPoint\"),l.push(tt(c.id,h,v,c.tags))}}}return l.length?l:null}function ut(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function 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xt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,_t(o,t[s],a,i);var l=t[s].minX,u=t[s].minY,c=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),u<o.minY&&(o.minY=u),c>o.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)wt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var u=i[l];for(s=0;s<u.length;s++)wt(o,u[s],t,r,!0,0===s)}if(o.length){var c=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var f in c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof document?Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\":\"not a browser\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var 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,-w.length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(q),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(q),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(q),ct=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.disabled=new Lt(Lt.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(ta.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(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]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(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]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(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(Br(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 Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var qr=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:Gr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Gr(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 Zr,Yr=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}},Wr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Yr(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})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Wr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=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})},$r={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Qr(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Zr||Zr.length<2*h)&&(Zr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Zr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(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 rn(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=en(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function an(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?tn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?Xr(O.kind,z,x,y,e,X,J,K,R,F):Wr(O.kind,z,x,y,e,X,J,K,a,R,!0):Yr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(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 sn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function ln(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,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}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(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 hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(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 _n(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var wn={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);rn(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)&&an(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)&&an(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&&(Qr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Qr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,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\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);sn(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);sn(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))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=fn(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=qr(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?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(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++)_n(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)}}},Tn=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={}};Tn.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()}},Tn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Tn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.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)},Tn.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)},Tn.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]},Tn.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},Tn.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])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.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&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.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),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.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)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.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},Tn.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},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.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},Tn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.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()},Tn.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)},Tn.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)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var kn=function(t,e){this.points=t,this.planes=e};kn.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 kn(a,o)};var An=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};An.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 An(n,i)},An.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},An.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},An.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 Mn=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};Mn.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},Mn.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)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=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 Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={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}};Sn.prototype.clone=function(){var t=new Sn(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},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.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))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.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())},En.fov.get=function(){return this._fov/Math.PI*180},En.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())},En.zoom.get=function(){return this._zoom},En.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())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.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)},Sn.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},Sn.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=kn.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 An([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}))},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.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)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.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())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.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)},Sn.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])},Sn.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)))},Sn.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},Sn.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])},Sn.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]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.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}},Sn.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={}}},Sn.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},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.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(Sn.prototype,En);var Ln=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})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.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},Ln.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(\"/\")},Ln.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},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(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)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.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=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(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 Bn=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),Nn=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),jn=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),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.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\"}}},Hn.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)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Hn.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},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.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=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.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 Zn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Zn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Zn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Zn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Zn.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 Yn=function(){this._zoomIn=new Zn({numTouches:1,numTaps:2}),this._zoomOut=new Zn({numTouches:2,numTaps:1}),this.reset()};Yn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Yn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Yn.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},Yn.prototype.touchcancel=function(){this.reset()},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Wn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Wn.prototype._correctButton=function(t,e){return!1},Wn.prototype._move=function(t,e){return{}},Wn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Wn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Wn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(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}(Wn),Jn=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}(Wn),Kn=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}(Wn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(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}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.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]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var 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.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(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=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:ni(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=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=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,ai(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 ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:ui,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})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};fi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},fi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},fi.prototype.isEnabled=function(){return!!this._enabled},fi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},fi.prototype.isZooming=function(){return!!this._zooming},fi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},fi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},fi.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%ci==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()}},fi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},fi.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())}},fi.prototype.renderFrame=function(){return this._onScrollFrame()},fi.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>ci?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}}},fi.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},fi.prototype.reset=function(){this._active=!1};var hi=function(t,e){this._clickZoom=t,this._tapZoom=e};hi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},hi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},hi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},hi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var pi=function(){this.reset()};pi.prototype.reset=function(){this._active=!1},pi.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})}}},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};var di=function(){this._tap=new Zn({numTouches:1,numTaps:1}),this.reset()};di.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},di.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))},di.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)},di.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)},di.prototype.touchcancel=function(){this.reset()},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};vi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},vi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},vi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},vi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var gi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};gi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},gi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},gi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},gi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var yi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};yi.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\")},yi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},yi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},yi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},yi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},yi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},xi=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 bi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var _i=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};_i.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)}},_i.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add(\"boxZoom\",n);var i=new Yn,a=new pi;e.doubleClickZoom=new hi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new di;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new oi;this._add(\"touchPitch\",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new gi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new Xn(t),f=new $n(t);e.dragPan=new vi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ii,p=new ri;e.touchZoomRotate=new yi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new fi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new li;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Vn(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])}},_i.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},_i.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},_i.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},_i.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},_i.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},_i.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},_i.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},_i.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},_i.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},_i.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||bi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||bi(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},_i.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)}},_i.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=[]},_i.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!bi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},_i.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},_i.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_i.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new xi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var wi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ti=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ti.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ti.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ti.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},Ti.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\"}},Ti.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ti.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)}},Ti.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ki=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ki.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},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},ki.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ki.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}},ki.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 Ai=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ai.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ai.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)}},Ai.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},Ai.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Mi={\"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\"},Si=t.window.HTMLImageElement,Ei=t.window.HTMLElement,Li=t.window.ImageBitmap,Ci=60,Pi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ci,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},Oi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Pi,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>Ci)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Sn(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 Ai,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Mi,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ei))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new _i(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(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 Ti({customAttribution:e.customAttribution})),this.addControl(new ki,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ci:t)>Ci)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 Bn(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 Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(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 Si||Li&&r instanceof Li){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 Si||Li&&r instanceof Li?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 Si||Li&&r instanceof Li);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ii(this._canvasContainer),Ii(this._controlContainer),Ii(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}(wi);function Ii(t){t.parentNode&&t.parentNode.removeChild(t)}var Di={showCompass:!0,showZoom:!0,visualizePitch:!1},zi=function(e){var n=this;this.options=t.extend({},Di,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))};zi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},zi.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},zi.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 Ri(this._map,this._compass,this.options.visualizePitch)),this._container},zi.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},zi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},zi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ri=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({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 Fi(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}Ri.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ri.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)}},Ri.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()},Ri.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ri.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)},Ri.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ri.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ri.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))},Ri.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))},Ri.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ri.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Bi={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 Ni(t,e,r){var n=t.classList;for(var i in Bi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var ji,Ui=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ni(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=Fi(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,Bi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Vi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Hi=0,qi=!1,Gi=function(e){function n(r){e.call(this),this.options=t.extend({},Vi,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!==ji?n(ji):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){ji=\"denied\"!==t.state,n(ji)})):(ji=!!t.window.navigator.geolocation,n(ji)),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,Hi=0,qi=!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&&qi)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 Ui(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Ui({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\":Hi--,qi=!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\"),++Hi>1?(e={maximumAge:6e5,timeout:0},qi=!0):(e=this.options.positionOptions,qi=!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),Zi={maxWidth:100,unit:\"metric\"},Yi=function(e){this.options=t.extend({},Zi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Wi(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?Xi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Xi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Xi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Xi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Xi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Xi(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}Yi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Yi.prototype._onMove=function(){Wi(this._map,this._container,this.options)},Yi.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},Yi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Yi.prototype.setUnit=function(t){this.options.unit=t,Wi(this._map,this._container,this.options)};var Ji=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\")};Ji.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},Ji.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ji.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ji.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)},Ji.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Ji.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Ji.prototype._isFullscreen=function(){return this._fullscreen},Ji.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())},Ji.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 Ki={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},$i=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ki),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Fi(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=Qi(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,Bi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Ni(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function Qi(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 Qi(new t.Point(0,0))}var ta={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Oi,NavigationControl:zi,GeolocateControl:Gi,AttributionControl:Ti,ScaleControl:Yi,FullscreenControl:Ji,Popup:$i,Marker:Ui,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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e=[u(t.region,!1)];c.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},87263:function(t,e,r){var n=r(26859);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a=[],o=!0,s=!1;try{for(r=r.call(t);!(o=(n=r.next()).done)&&(a.push(n.value),!e||a.length!==e);o=!0);}catch(t){s=!0,i=t}finally{try{o||null==r.return||r.return()}finally{if(s)throw i}}return a}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(56131);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);function c(t,e){if(!(this instanceof c))return new c(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=c,c.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},c.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},c.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},94338:function(t,e,r){var n=r(56131),i=r(63489);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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n=1;_+n<t.length&&t.charAt(_+n)===e;)n++;return _+=n-1,Math.floor(n/(r||1))>1}),p=function(t,e,r,n){var i=\"\"+e;if(h(t,n))for(;i.length<r;)i=\"0\"+i;return i},d=this,v=function(t){return\"function\"==typeof u?u.call(d,t,h(\"m\")):m(p(\"m\",t.month(),2))},g=function(t,e){return e?\"function\"==typeof f?f.call(d,t):f[t.month()-d.minMonth]:\"function\"==typeof c?c.call(d,t):c[t.month()-d.minMonth]},y=this.local.digits,m=function(t){return r.localNumbers&&y?y(t):t},x=\"\",b=!1,_=0;_<t.length;_++)if(b)\"'\"!==t.charAt(_)||h(\"'\")?x+=t.charAt(_):b=!1;else 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distance (grid units)\"}},\"yaxis\":{\"anchor\":\"x\",\"domain\":[0.0,1.0],\"title\":{\"text\":\"count\"}},\"legend\":{\"title\":{\"text\":\"variable\"},\"tracegroupgap\":0},\"title\":{\"text\":\"Distances: fish\"},\"barmode\":\"relative\",\"width\":700,\"showlegend\":false},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('e4f96df3-b54b-4bcf-bdf8-dd026937b5d1');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the distribution of pairwise distances\n",
+    "fig = ft.plot_distances(fish_distances, \"fish\")\n",
+    "fig.show()\n",
+    "\n",
+    "# Save figure if not already saved\n",
+    "path = os.path.join(root, \"docs/figures/fig_distance_distribution_fish.png\")\n",
+    "if not os.path.exists(path):\n",
+    "    fig.write_image(path, scale=2)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c318b71e",
+   "id": "c318b71e",
+   "metadata": {},
+   "source": [
+    "### Predictors derivation\n",
+    "\n",
+    "Compute the relevant derived predictors (proximity and access), which will be used later for inference. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "e2db0827",
+   "id": "e2db0827",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def derive_cp_predictors(data_object, rep, opt):\n",
+    "    window_size = 30\n",
+    "    sampling_fraction = 0.2\n",
+    "\n",
+    "    score_kwargs = {\n",
+    "        \"nextStep_sublinear_25\": {\n",
+    "            \"nonlinearity_exponent\": 2.5\n",
+    "        },\n",
+    "    }\n",
+    "\n",
+    "    predictor_kwargs = {\n",
+    "        \"access\": {\n",
+    "            \"decay_factor\": 0.9,\n",
+    "        },\n",
+    "        \"proximity\": {\n",
+    "            \"interaction_length\": 90,\n",
+    "            \"optimal_distance\": opt,\n",
+    "            \"repulsion_radius\": rep,\n",
+    "            \"proximity_decay\": 0.2,\n",
+    "        },\n",
+    "    }\n",
+    "\n",
+    "    local_windows_kwargs = {\n",
+    "        \"window_size\": window_size,\n",
+    "        \"sampling_fraction\": sampling_fraction,\n",
+    "        \"skip_incomplete_frames\": False,\n",
+    "    }\n",
+    "\n",
+    "    object_derived_DF = ft.derive_predictors_and_scores(\n",
+    "        data_object,\n",
+    "        local_windows_kwargs,\n",
+    "        predictor_kwargs=predictor_kwargs,\n",
+    "        score_kwargs=score_kwargs,\n",
+    "        dropna=True,\n",
+    "        add_scaled_values=True,\n",
+    "    )\n",
+    "\n",
+    "    return object_derived_DF\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "83ee3410",
+   "id": "83ee3410",
+   "metadata": {},
+   "source": [
+    "Here we provide an example for computing a single fit (similar to the other demo notebooks), with a hand-selected preferred proximity ($7$). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "1a9ba22b",
+   "id": "1a9ba22b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-05-23 10:19:19,098 - access completed in 1.46 seconds.\n",
+      "2025-05-23 10:19:32,158 - proximity completed in 13.06 seconds.\n",
+      "2025-05-23 10:19:33,358 - nextStep_sublinear_25 completed in 1.20 seconds.\n",
+      "/Users/raphaelcohn/Documents/GitHub/collab-creatures/collab/foraging/toolkit/derive.py:56: UserWarning:\n",
+      "\n",
+      "\n",
+      "                      Dropped 9483/3007241 frames from `derivedDF` due to NaN values.\n",
+      "                      Missing values can arise when computations depend on next/previous step positions\n",
+      "                      that are unavailable. See documentation of the corresponding predictor/score generating\n",
+      "                      functions for more information.\n",
+      "                      \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "fish_derivedDF = derive_cp_predictors(fish_object, rep=2, opt=7)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f5e72e9",
+   "id": "3f5e72e9",
+   "metadata": {},
+   "source": [
+    "Select an example forager to visualize predictors."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "f53267be",
+   "id": "f53267be",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Assuming you're tracking fish 2\n",
+    "focal_id = 2\n",
+    "focal_df = fish_object.foragers[focal_id]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "395d949a",
+   "id": "395d949a",
+   "metadata": {},
+   "outputs": [
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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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ng/UcHGfck7U2yvguZPleLT8ifZyfXTh6ap6BPkvuJdtnGjSux5zL9nmkywUi6php0ehJ52AuMkbjHyeeaXQeLGpFEr/QE6W3c4zLk7kGNnf/TEAwjsVczMVXBcV3e5yaAm0K5yMywgTNJOGLY/U81noYr1NdBianNd2eXbu23QiFZ5sIxs7NhERplDcYLgzXblxdruY5VlS6lPDqJSU6Nh4d48xGiGDVdhi7vxkVQciMpf6DuqJ0liKWYFWrUcphtaCwssx6H3MH5791y8o07FpS44m9d9y7hpXlqsyzsazM6zVMU4kbkdrlRl5IvoTn5Ogwaquyfefce1mUnMn6TDWyl2HovhC1KUhBCpLzejzzofWCzLskMqkX2P502iUSS548M2XBujbxMp9cqYnS7PMhpp+vJf9ZukjK3zkT0tL+bNF+ADlIhXBLrIDt8LEZBdRq2kqzShxjbH27JzTjsn5FWcz0BxyG8Ifn2bi24gTI2Q/3xrS6JwCDqZ4J45scMoC+8roTiVl2hWfH3MlHEVy24psISs8LY4ov8TxIREsmjBXwFJAXt7B6SWlsLo11Q0KFi1Ucux8FSoeMsojy+qLYM+W9klVcVOqek4xHZApMBfc0XTSNa3KeRa1I4nc0MwyVCSaiDGQBoxgtk4cVnCUdmfBZfh8H/jYvjpeWbTbi9LBPpoYDipVk46NzfzCEQVIEmRIZlGAeLPaRozCVGaBaSXWV7XMzgYc7pzU0PXBgUhcIC56FMNHvV2UObtOw2sAYqOFhcs+MBVWZpFJejJXaEgRFHF81vH//fm2TkPLegxFx+0tkWccynQf5LoHIVMZ6DXIl5iOMaKkUCeF7aqCoqUEJltUatAukzUMMpdiT2yF1y4y5Oj1iECPx3DnOnGcTfX6NxJTVejTShFKnFohaLKKJ1W0laSkCfFOBaBh/ESuSeOvAkQFpkOWPFcVWgqN0h2KJaFp6/r08o0w/s3yHpOeI5jrEiG9sCvcHmEYdD+cxCY84r7vYZdR4ZFmDoucgdDobFm+9O7YbYj1pZiyp+tE0ceVsKWVBBKWo0gBLU57bbYzP/DleiaxZsyb9vYtTSp1V8uijj8nZzWvldImnyKgERrGlS9U3FQJ1Qp5qy/uKElyFfIaFawobq76HuLwad5EBvrqKTnDZKCGWZtxmlsNkvAPn4lYk8WInqcmoV8lscfCQ822JmKIKoDizVOlUdSvsMtbIjx3h2pDwlDcWxWp/EM7ZsqFC07kzJa+JF0zppedVG+0o6k4kr9W2k8+AYhHNydBxOB1a4cpuTDQgnauBFYe7hMQXvpmWyGsbPy713uQkWIP+TvlF//+TkAer6fTBgVVLSlQhYCWTkJZKWOjNZ1XELFlz3PzctLZCLRJrDRQVwp7i8mh91YnnVNlcrIWb1mgf776ypThhO4pEwjsqry8+sxTJYpVccRcNcafZvdMJk7Gk6uSJYyZ55SKmoojfVc2wq1WY6BVNmVs/6ap1USKtRatTHkMy2ulON3e6DNazTAWrJZHlkigJkPmR6NhkDHe6kdjclDM6LuMzFmRRiJk6bxUzrfx0Rw3ASQB+raz16Y7PN5O9KYCU8c/JZF7PJPGMYwGPMyFXjkQZ+8lwzejckC6PBk4iKuf7TAjGMxlPvmXRWCTmIojfXexUqmrLiMjcgjKzlgU6gkwiAwaDvOTsssyHmGnlmK11y4wUee5v6Mi0gmYAtvUry08Lwxbvr3f3hIKOuFJLzqlKaXFg2tMWAyFRzNx1lYFsPCQeR/b0nLCrj3fPqouF+8R8MEmJKEmoaC6SpnXJe0/zTEl5p1UG52i/sEbdvGQCGNq5fVRdm6Y1ZdK6aS45ulUYR/euMa3vwR1dcnalzkuA+/69kxL0h5T7liQ3u6IM9b2zqkSJCJnuJdek/IHrWOur7MiisUggkeFjFTNdOtOdFjwg/nj8RZQDKHk64e8g+zH6zCy8nAAUCcRG9FyhxgcJB4zdkHucHs7cGsi38OxhX0PJ8d90vXd4zjOjQf1AHGQ9j38yIkUO+zUvpvB8NHo0EjCK+qLXY1zm79lckokuvIFZdTU0GjaW+l44L39D3dZ4ny/lfIWmcdLynPg3wvOC58Q/c6KVqV3h2TFear0Ac02BJY+5o0RXWfbBWTSKhKhKfGRFSYlo7ZDhDqv8mnE5HWalbCa0+0bkwfBf07V7OB1SUuWV0mqjuM/cwQFpKxqNlHB2m/kiQ04ngH4ArSjuiibvnLT3RFJUDpGPVz/8bD2Pt8IhvohhrWSL6wBYAhCbESvS6RkfkSaeVypcyihRKFY3AyuvJE0ODuclYsXmA1aSasenkLDSfE4NJ6wG8CzGy+8T4VKZiBFG92heDvdrCnOitLZISqs8WUcHbbk2X//61/Vz5MgR/feGDRvk7//+7+XGG2/Uf1955ZXaptMq73nPe+Qb3/iG5CrJHr6taE4C18UumJkLIfJ8C8h+81mVWpIUC/k5HFLTXqIoPvd5utwxrou7AAep9ulJE0VhATXRjiLu3fN33gqXBCKZ5TckEtyQ0mqPbiLm8+C8VOViscW3/0h0L61nVxn3UgS7WeplhPJAsaNIWMjp5mjLxkoj/GtpJ8GYWjdWZlyjlXDcToPLN16491S5LXlXJG1tbfKFL3xBVq9erX7i9773PXn1q18tzz77rCoV5F3vepd87nOfi/1NaWl+i5QKYl/hGozwjgUxNjs9YOYz2pJoU7HTBsIouc+ci7bERoidsRVVJBifm0JSWZBia1i33HLLnH//0z/9k1oo9PU1FQmKI1kPmzNZ7KTZa1l7hrF8AGJ4VeN5UQDfQkEjpyDdgtMWoeMB3TnzEfJNJ1yPLFaeRf3KspSgKhvSRK+RbQlxkJmZyTMysyox5c2dme8DU2FxOzyaJ5JK0v0+XgCCSfcvryuKKQnGNXhwSq9bt7w0Nj5Ay6HD0+p2Na2t0HcJ9tG3b0Km+v2aO1K3olSfAS5Q355xxV3qV5WnVUBEd6bHAlJW403rxjA/wDx4PtbsXwBVsDwUYyYWDPdJZ71suxpmrd9ojPWzn/1Mpqam5vSs+eEPfyg/+MEPVJmgeD71qU+ltEpgmudjitn7NxfRFHnSo3OocbEjZrgO16GYsu4UyoQJaYYBMbHT5UrQ/3V6xK/4By4K52aCDB6ekuBMSKrbS6UyBYKvpER7JqK1Nl4jWjLPOAmNwiFHwsUCxCZpLZkAKHY9N6qLDferY3ONKkzqShg351CXqM2YQzy70LBXat2t8sv+/0/CEsqojUo6YRzHd4yKb9rAPVZcVqfPqX/vhHQ/P65lBISG+Z5Fd/SZEQVlieC5vE5VJhA6HXt6RMc82j2jOBCKoHf3uBzfMa7fEy5ec3VjUpcchd+1Y0xLBLBilm+pTUMiNStDR6Z0rvOcUCYoNKJ3lFeQ0EhbkVTrAMVPawxwP9ywbFwn24qEBlkojtnZWSkvL5df/vKXsn79ev3dm9/8Zuno6JDW1lbZuXOnNs2iQdYvfvGLpOdL1vs3dxKkzAmPchXIcyDFkYAzMyIaIkX+k/MYTjqW0DSNz338zQk0PaKkRkSg0hMHmZEtgGr+5lREm/Dv4TORDLrZK+lPwGCt41iTxMggA4r+HDgxZu6htalN/vdXd4mzluiGI60SwRXPZPPhnQCKai4O1ywm0mEktLHwzQJAfsc44IKZoRm83xg04V3eKYvZmgdCCQEcMdwj1qVGbZIoEs4RMsfhD6V9X+FoFDJkmU/M+1AgJKGQEalJV8CqhNWBkLjEsKqyEdt8JLTkpHMe/AQ///nP5dvf/rYCrKYyscqDDz6o3fkOHDggK1euzNgioWNfrnwkp5KF2+yMZkaR0gkTkpeeSZNojiVUycQy/XcjwckIKRKhSbeDsIuTPEU6tUYN5hlwxewnzwJXr+3cqljFcSJhsQ3sn9SFR3GZmRHLfbPTaoo/FIJRyw1rgJ4xpOBn2+oimSLBAiJ/A8uvfkX5HIsJBrGWjVU6Pp4/OTHQSaJM2i+qUetBLZWnhmVywK/kTksvrNb5QI7Gsa2j+r4AUs3U/2Tztn/fpD5DrkXBY6r3hXVKTgxWEceb7i+hXAr9iio8afEZrokF5EyAYWXKR5IzsdE111yjSuKb3/zmSb/D7cFqufvuu7VRViZSIDY6MyQfLS1OhySi4UxG1p20HYUvfFLCoiZDRt2gxSSnjNgoHA7PsSissmPHDv1vS0tLrpcpyGkW7XWrXBaZJSyxuHJVIsq5msD9S2Z+JyRYQgkk+N5wo+KoKgBypw33xSpYGnwfL1iC8crFEa1xOYkqNK6/7xzQPC4JzLRwFxM5lC2M5BOf+ITmjLS3t2sF5o9+9CPttHfPPffIwYMH9d833XST9gIGI/nIRz4iV1xxhWzatOmUExvZkURNikxSXRK6rNc0MmPnxvIZG36wdtWzTBaTiZ5j07k8WocyFtQdzmqKAvBhplo5TRjbWO+shHwhzQswXR4W+sgxgx8EvtN87X7cx9GnRzTVG/BuxaW1ee9cFy9EbEgVB+QiZ8NMQcfdISJUWu3VvA+eLePD1QD8rOkokfrlhlvCv5W9PYxbUqnAJ+8KMiYiMYChSy+oUTCTBX3kyWF1ZcgPad9crYsfbpAjTw3rOVo3VUnLhvxYyZFIRHp2jUvvngl1W5ddUqv3yL0cf25MJvpnFXxesqkqZemGlkXQPxgW+WUn3jn3MT3kl9K6E2RWWQURMqglQmzNtP7+fnn7298ua9euVezjmWeeUSVy7bXXitfrlfvvv1+uu+46WbdunXzsYx/T/r933XVXVjcRr40VdMwgjd2umIVapEjH+56E1VAQ1h0LX3561MAnTOEY/GCiK9Zdjn+DhmfyMlAiEBARpTELszjX6PFpJbShTYS5O5PmzAQf6ZxVX9oUogaj3bMyfHQmlu6dD8HnB8fAXCcaQKRgvoWoD/cwNeDXNhEIzwVcAjBX64cGDUuYPjwoF9LJB/dPxVi9CM+yIEk5h3gJ8U+GFINQwqdj0xryPRH9mBZXkVP69xtYCdLzwrgqGTaVnufH04LHmQrjQIkgkA2Z98i9DB4i4uWQwQPTSmqVSmg4zhwbsrxz5rTeG03KjxisatkIKflEzzIRW9vKd77znaS/AyCNz2rNpwAEzYeoJYIZ7kqU/DMXsAU8VGZ5o+PDnHNgcejO4TiZ+AcLIZ0onwSp+h6Lz+0grRniGshsXLFrGmxfTgnJXJIbJa1xGoQ0uVIPWIVkNpSIhrg9jqzTqO0I5Eim4jTJdfS+GUc/YOsJK497ZUza9LyhKEaExLFmaw0TrMXC5DlPDfrE4TrxnPh7Ik0ofcK+5rnJLiXyQRi7upo+Ovm5PxdjLnaq4mCM3K/xvVHGMTsaEG85fCSp36NaxmRnW965tZ8118h2zK4MekibUmCRtwu8JXGxEiWkGQ28DGq8TFwydtxE7hE+unVyI1hR9F8hwSyWrBWkoCuanFSbOp/FruBS4NqQTNW4pmLeK4i5Z0z2E0RJxmpgoeP2aMPuluLYPbIro0hIajNdQ3ZirDxyQGimZZ4DS4Z7IWpGdIZ74f1hieAOVbeWKhmU6TpgifCsKT/Its4lWTRt4OCU1vs0r6+IERMxNqxZnnU6HhPtjEiRn4d37o09D1L9YcWzNmezK8zfkcFRqWusnf+ozZmsSApSkJe6jBeaiC8+UXzFUnBniiaUZWjVALjG94EFzzGIn2m0lXp3Yhcf65lRV1IpArOwPMAUBg9Pq5dXv6osNhZyWcB0SOtnx8/GYsJC4BwApFaLxHaby+OGRaJs9g6HsfsenZGZ8YBUNhVlxfeRTHh/4B5Yp1wvXZGf0kGMBrRRl5U0XJPcgmFNeMu3RZhs7mUqZ6QiMWtZ4iMudoTFB4mM8pxGfW4mGwuV/xaXn+jGlg/hvABb+McwfJvXpH0DwB9ma83S1MlkmPGAlJi5rRurNGGL++h8dlQBPSYg0Yhkpi73dfTpYenbOylwbS+9oFqWnJM8vT3Zs9/34IACmkhrT6WsvaZRuVB2392rmAAYxdprGtRFsqug9j4woIrEW+KUVS9vUJIfu8959719eg6eNeeAI5Uozt77+g1qgDqvbLi5OSVZkR05+vSwHNs2JpFwWJPR1t/YnDSKh+t28I+D+pxwo1ZdUa8RO0DhrmdHNDO2cXVqciS7Ajht9Ix26NzLht92wWbH5EILiOYHwc8lHVwzKMfnEr2gnCDZ8Y2H8h5B8k0GZHrE+JikM1wDJQJJEb67NVU8kbDj8zdEm8xIEVmxNN0m1Ak2QMQnmaB0QPpLqmEfd8pYFtEZzbTsnVUGLto9cg6K1Rj/1FBA6leXxWgK7YqJj9R2lBhERNHIiv1z+KWuo1TD+OAUCOAr75zxabQoj1GvkWMzyiNS1VKixEapSJ0gWzKya0v1Xs33CGainQCKXTLW48srBaU5v/hkS+W4YBVJLru99kG1tF7IRnhhmJXWCAXRHSaEtlPIMys5/WaUJKfGE4tScA0l3ylzGeZsGgQfTgn+Bq4NkziIFG4ASFi82GGtDOTxAsgLyznHolSqltg378lpwS3AAiJ8yDmIJmBR0WNlYD8WE32F7e/2gKjcAyFNwFbuK6tzNHhl6Oi0guOmC1NGAWWxS8eHArRDEZBOSLlHoaOkcZtSuTYlUeIhwreMs7jKOJb3zzxA2VW1GP2D8iU8S94Pn3RFpMmkALYuIEnkp5pFYpm6aURzFCOxTAhwDyweksjSIfiKkXTPqCJXFysLX9ykESD+2GDFSOBK7fWpqU5Jflb4xlhAz8O9UFuSzTnY3bGUYhiJ08BIyJFBiWJNkQyWV4zkoAUjScPJwj1SJ4NraqV9MAsBWfCnCiM5ZbU2+ZaXsiJ5SffF1Q5yue2y2oUuwwVmp6hzPrOqF7oUojY55ovko4JYC7j8J/f+JcbPpLfWZJi1LOqWncY+tVgj3TvHNDkLHhF2P8YKYMiuyk6tXB1ZmsDxAk/Knnv7FZMglwJw0a5CYafee3+/YkBNa8tl5eXJz8FzJhX++K5xKavxKDdIKjcGK+XgI4PKb0MaO8CsXZkc9GlVcMBncLOYADHZyXCV4H62nV+tLg9zEaAaXItnTdQrq+iWVv8G1cW1WjVEhLBqcPHy6R4tGkViFjFZw5fGQiWJK30tC3+rafBho22iubABrQiNEukApzAFV8A/FVYfNduEHrPvCdgHhMKmEjF7u1qbd08M+BSUI5OwYeWJ9gunUhjbwT8OKcinDdB9YVl/U7MqkMNPDOtzGD0+qs+kY3NtXq7J9fr2TOozOvz4sFS2lNherNTCkDTGOQ49Pqy4B3U4iYQ0+AN/HNR76dszqxGks1+VuKiUBbdPo0QzOr+IRlW1FNumLzj06JA+QzYJXBZwHhp3HXx0UOeegugOUQWIy3XkyRElFWGemC6cHcE9JbUfcBu8jOgb94sSoSYpOBuSmo5SbfORL1mwYGsi8iCDrMjSSiKa/pxJ0yE9B/U6hIYth0OeE7KQ6Jz43iAEyjbyo4V8vrCymFkjP5xP22IoEY3l+2gtES+Z8ZwOgVQHMA9AFrAagFDvI0qIpG05NaKVv4gB1yDdHeCUHIls2mUQdWAjADCFNyRVbQm/4z65FzalVBEU7lmfR6UBhPNu7I4voikDBqE0CkjnRPT98zMLHR5WM1pitkwBXDWPsyuaDT2DJezQd2VGGJU0iapnqovzVDO06BQJO7XRAPmEmWfUXmTGScnfQfJSXO6e40fzt9DwxyPpWCdMbhDtbITrAdoRxqOtgCnUbkB6Q8q21eQkikGeCAh/qsjKfArPgDRwFBnhX2gZDWKhEv3g9nBPjauM6tp8SNs51XotdmyASLt5IQiVvbxbAN7qNOfgGdcvL9PCRqJjEC8lE2Vu31SpRZm4Xk1nVaiysiMOh0PazqOC16EKxaBDRDF5pXFtuaYpoGD4HsHiobkZYXRyTipb7Ee3jNR/g1+2fuWJBDiugyVCGNpOC9GM7rMAthbEKkwHchkIdVvpDNgxacykPrcl2zIfQrIVyWZgAnZY5q2CO0aODIouXeYoi5TwNJtEugxWpWzomVXrpHrJCQYyuzI15Fc3mg3DdKs5N3lD8S0tOA4FA1Z2OroiWqUAthbkJL4UozrYkXYHBWBNdA4NEc7DtpMIA2Cx06ISYedOB0CzQDPNTdGExelQRiCmhsGXnLx74+KgjLTxWEP66yYCdDl3ou9RVsUJ2lEo0ROk5guwt9KiUSR2q24ThRMVS4mc/L3yrbrmUuaZGMmpYqJnx6cnrSaFNRXHxkJVK0AsAJ254JjEkPOwa8EQnmoicw/HnhnRXb+80SsdF9XaBo+Jiuy6q0ddG0zyDTc1a47JfAm4xNYfdkrPCxOKyTRvrJCL3taetk4oEyF7c9uPO5XHAyVw1vVNGo2xNb6ZkDx/V49RuVvqkrVXN6p7NZ+CRQNzPTgN0a1U5QXa7/nwlL5z5hItQbKZw2q5RVuCpJOFp9qSiIJUUaBoTs+XmeBJABgTUcvsrenthFcJicV1m9eeuKN+DZdZhWMh1UnXozZfQqEc2YxMAJD9GJHPwUmD+ObQpJr/yHiPTwaV2McvfXsnUlLyETnq3z+pPvrgoRNEPnaEgjMiCOzMhCWJCMyn8ByI5IAXVbeXSN/uScU08iGEVgnp0kydzYdolN1yDGqaOA94Bpbe0a0jMt8yeGBSSZ7p04uCTQX64uIN7JtSTEaJtTNkObMKc4q5YjZyP2MUiWlwWC0PJSVyOMRJhZlF+LeSFVm/jhIRG39jPa9hicQTJ+lxkAydoh6/2sPYaRD0mNc0CZOI7hjEScb3ZLkyXiI97NKpTHQKsfhbzVFR0iP790NEhGdJ+DCeZnI+BKuMazJmNgSTuChf52YCsHFg0UEoZHe3Nt8FC9Zo8enMy9hSXpMGXAKnrBGNSTVmfedEbKZDCmRnM4e1la3HIEzKRGw9Abrqwb8K6MKH/ja///3vY7+n183tt9+unK2wx0O12NfXJ/kQFky8Sa5NvcvcJ3GTKnhVQaNvZ1zUhuScuZ3p+FvM9XiQj39XaNTm1Hh/7G7kT2CymtEc7gMzFs5Sfmea9oCSRAKozG1ZnzrnoryxSDouqlFXpH2z8V+7wpiWnl+jz7B5Az/nr/I0kUBktOJldVrsByaw8mX1ysWaD2nZUCHtF1artUfNyrrrmuyPr6NUlm2pU1Y9eFJXXd4g8y1EdYgwkXCHe5oqb4o1Ab8sESc4X7MFx7FAU7XOyDpqA/+qy+Wa0/v3S1/6Uqz37/ve9z757W9/K3fccYcivR/4wAfUOnjssccyHnwharNwBVcxF2oGO6K9e6LVvYTh83lN7eMyHlRLIhfcBVfbsNYccqbKKau1qa2tVWXyute9ThoaGpRJnp+RPXv2yFlnnSVPPPGEXHLJJXkd+GKWlH1SXHMbXMdCgVrNfOJ7THMWNm04swkRmm0dSViqbiuO7Vqc18jCdCrvhbnQ+M6gGPCoFcTiYVc/tm1UfOMBTeW2yy+SLyH0u+t/e7SYj4xW+D6w5vr3Tcj+Pwzqva64vF5aN1ZGOVdGpPdFMmG9svrKhpSZqhT4de0Y1e6GMMhDprSQJBw0qCbMSvG5hZqQWWWWZ5VMxkbHpLqmev7Cv/G9f7dt2yaBQEAbZpkCmzytK+woknw9XABVE3fIRrSXSTSWb74IJiETiyxY6jSyySngBcN/yn8xkc1cDUBRgFau1bjGCHdyH7RkmOj3666Mmco9sWBYwGTNsoAxY+3u2N3Pj8nBR4ck7I9ochyRGBTS7rv7FVzldGPnVGlUg3Ht/FW37uL43Cgw3Jvd9/bLkSeG9Hy0ULjgTUtjXKenSlASz/z3MTm+c1zd1sGDvequtl9YI09//5hGO5gDKM3Lb1+hBEs7fnZcwmEsrJDWwWx557KEz4/73PmrHunfM6FRbzrxXfT29lPSiD0TYT52PTumYDrzhr7JJEAyt45tHVEFi3LBpc2mzAMG/r7DBtN9OnFm0/sX/KOoqEje+973xnr/9vb2akuK6uq5/nNTU5P+LpnQXAsrxPrJVSiOgpQoF/IhjdoM+WOtDazNwmdGIIDJ7txEXjDZta3FyAnynMkBg7yYawIw6himjFwFzGeiJaSCIySG8ffUiYCspyM8SiSjnbMK2JLpCBERiVE8M34m8YrsS6InTErGwO5GZifLje9ZwEOHJpU/A/+dyADh61MtpNjD7kUGqMHu5dAIE4qZZ0l4nPAn9weFAeF07onvyhuLNQycqPmVaZ0R8q5aWiINq8v0OZhtKhaChPxhpYyEQpONj/GZ40YJYGnxHFKRWSUT3i8EUDMZ/q1tRUJPGzroPfXUU4qJ3HbbbfLiiy9KtkITcVwZ80Nbi1wFhB8qxFyqGwGsSqrcc1LksQY0zb7SHSMfsiukyFNfUVLplhLLzoaZ7SlyqoViFuzhzkD7h/vBzmJW3HIMkwelRA5JOsKjRMLCYyIOH5mS8roivVdS87kOiwtlRyq1QUrk0WvTGwbwU7lSla+kVHd43B7SsvNJBpSpYLmRH8MiwlJDSZBvAzkRC4neNlgj3Ft5vVctO6IYhHAn+4w8i2SVzJRJ8HzHumZk6NC0PgcU7EIRl9epZFZqKbqNeiUEd4Z3QT8f/stcsSu8X+4VIq+Mjs9X7983vOEN2jRrZGRkjlXS0dEhH/7wh7Xr3qlsIr6QxXC9Tg6jYv1QyWz9noWBwkC5WL+PNRGv92bF1sYY4HfFfcMcNpUA50Vh4OYQKeK62jT7hQmjHQUu1jmGi8XOd/ixIW3uhVXC96dDGNezPztuYCQbKuTc1y5RBQO2sffefnVzV1/VIMsurtWfDzw8IN07x1UxnHVDsy7GZMKODu0Az4tS/3xWzOZD1GLsn9X3QXmA6aLxXrES2fRyiTzSjqK2oWb+wdarrrpKcZCvfOUrCrb++Mc/1rAvsnfvXsVJCmDrmSuYwJoBHBf9wD0j98RKh8CkJ7OU0Lq1tsQwvwNqSZiTnnMqy5qIFuGZyhJ3EMUBTkHC2pyM5gz5Y5QLd8CvO/VCwTsWqsxLrU2q3r9c7J3vfKd89KMf1UgOF/3gBz+oQOypBFqzETsERspQHzaAXKvgo2pzK8/Jza0SRVzANTC9zetiXWijoyi/qblAIP7Bv+fYdKzmpjWBa4eFgMmuvW73TMpo57TuWC0bq/JWCMaCfuG3PWqREBFZe22jug0QFZExiiJZc1WjrHxZnYKagJ+jnTOqSM5/Q5tGQQ48Mig7fn5c8aGathK57D3LFXd57BuHlf0egQzoZe9brljIH796SKNHPNNNr2mRjTef4BLJ5B2ySzMOdcdKXXLOa1ul/YKavDyPoC+k9w0OA+gM+Ml7R/l1Ao77wprbQW/hfAnnhmOFdw4elE2EhjnNeZgXOiezCLW7s+n929PTo4qD5DSz9y/y5S9/WfNGsEhwV66//nr52te+JqeaRZ4Xpgu4ND1JM8fOjPn1RRBKTSUoBgC7SCisVaOmbw3wSYo7L5FJwjUZ/8jRaX1B4BzsqrwgJnLfHnrIRqRuRamSGyGkwJsTQptmNxTprs4EhBUeDGP5pXVJk4sY25EnhmU02qsVLgtMeRYu7Q2INxu1IW5pWJ0fGoAXf9+raffgOxAU0QcHSwMCIDhGuMfdd/cpURMkPr0vTmgZP4Duzl92qwXy3C+69R1AOt1/YFJevLtPk6AI0VZQQh+hncOIkvNQMwS2wbNEaT7/6x4lWErlmsQL48Dl4blPDvlk5y+6pXmd4cLlKj0vTKgbxDMABOW5oNAPPTakBYgsVIDyc1/Tmpfr4W6Zzd2Vd5ZG52fbdy/ZZAYPGyF/QvvZNB3PW+9fpLi4WL761a/qJ1fJxeEipRySnEjYmdmxPi5m1PGk0sZobhjZyLjk/B4xFEkwYISKmfSAkS6PcaxBKhOR4AxjgYXesDyUGIiKXEvkhwgN1zaJb/S8/pDu1CgRokRK2FORohn6tEGtx9/4ozVCXIu/I1eESA0KNh/C/QHyARjDdm62MmCxUFgGezzPQikCZkIGIKgsdIDYHo0C4c4wNu6P8CRKlGgZ54HIygS6+Zl7wvIxW5di1cxwzSQRl2RC5MvMcuYd8nz4ePMAfQSI8EVEKpqLtTaG+2BOce+A0VAqch/ccz6uB28M+BmMdTQlp7Ymq3FTwxaWKHFT5Myq/s3F/NbJRhPwDKIZWBVl9Ua9TTqTDouD3Y+HbgWwSqu8OoGY4NZWEiwmb3m0lUT0fpRcpq1Egn4j+mEKIJ42uy4+Ef3AQsJEJiLBf4n2JBPG07SmXHpenFCrpWGNYXWw6/O3mNuMJ19Vu9wPuSR7H+iX/r0BjQIRUmX8tcvLtK2DVu5uqNQxkOsCFyy5GDxmuFKxYEj5pqrV2evTKMSSc6sV++AZUHiGoKia1laogiVnYujQlP4MuGs3QYyENawGxoEsv6Q2b5GYuhVl0rdvUrEd7s3s4se9H358SMPrLesrbVM1JhOeNUmAvXvG1eqFzCgb4f2g3FDkZXXZja1AbLSAJFnTciwgsJN0is7c/SjamgtyhtT9AljMF2mzXi9sEBWTy8GiMTEcrBMqhDG3wQRQbIyNSAk5KMVVHnW7UMzgRWSf4gKSiEdJP/cJt+ghXDIRWXlFvboImPJ02kMJEN5df1NTVmY4YwMjwTpadklNXuuppkf86r4SUrfWb4ERgYtR+5RPsiLlIp4KndSmNV9SIDZahJJIUfCdu8iRtC2ptWBRj6V6OG6iElGpaDp5kmEWY9azI1tZu0i64hzp8kL4G5MicM71ig3Xw6xmNseGEuODyxKrZIYus8gZzSC25uxAo2n8bexYt1MzbfnkIoC8fDIRnjN5KDxrwuQmmImLinJg8ZZaiKC4P3Vv4wpJEwHlZgtYnlG2NT/mO6fa/XTKolckyYiNDKwi/+Xd2vs3HNHdLBZxCQDYBvR6VnpCbXQ0DlA6t9FRrsKOT3sIsAdMdcx+M+29Z9e4jmP5pbUpeTlZHPv/MKA+O5bA6ivr9X72PzSg6eYs8BWX1WrVrx0BF3j6+51ay6J8pedWyYVvWapWwFPfO6otEhjfuusbZdOrW+Tx/zyirgZmMQrmkj/vUPfrgS/tj7XTPPTYsFz3ibWnPv0+AljcK0eeGtF5hvI573VL9Pvn7+pVq4YEw7XXNGrODRG23ff0Gcl8rSWq8JJRR2pbjKdHlKAK5bPqirqseFTho4FBn3Msu7gmpYUGPkY+EPlKAO7pmoAxd5knZxQfSVKAMQrOWYXFYQB5+QEWTeE6SkDUNTOH8Ii+sURcyAg1U+rNrFEyK/ldPnu1EuJlDFgT3bvG1bLg0/3cmAKITOjjz6UuNTi+Y0wjH4CATESiUfwbJUJolYlOlCQVI3siYXH17R7X8nowme4XxnWsh58cVjCwAdrECreGSTn2+M4xqWguUmXG+6T+p3O70fScyc6HPJPO7fNPHhQvPI/O7WMKKFe3lkgv99I5o4sL94rIGs/96FPDejxu3sjRGcUrBg9MaSQk6blx/3aNGZGcAd7XWFbzkVosyJXGjs9omD+V0OoCoiwsKSJoqbov8DtqrnBFz3hFghGihogjwfdqLeTX3MPy0VwR91y8wuE2iIYgDjKtFD2W4yATynOpuZGTYkR4FCSOfvieSaW8nt7U1wNzQVlopIXxR6kmuTcsHT23Fj3aHZsxFrPo0TyvWwmayMExMBuDfMdww4hsma1JcR3UNXPMbTWSz2ZOGd+LPlPjeSjHa/ReyD7mZzYNxu6KujvmGLV/Eu8/xTs3zu3U58Q9ZkPcpMRXLqcCz1pNnobAyCTw0jErHUSKczuMgEGmS2hRuza8iKLKkxNo8Lc9xbl1yUsk+LGQvbAYrKAlwJqnyDUH8GJs5DtUNIXmuEH5kKZ15dqXxD8TlMa1FbFrAlQSGdE2C2nIh6gIZcKTq9JydqVaBTxHCIXYYZ2Vbln98gbb7iG9fpddVKvJZLwW3COiMGuubtAdekhBTpeW+uOqrHp5vSawTVMXUu+Vs65r0sQ58lLMzFbyUHDVTrUYNAP1cuDhQQ3Fr7jUuBcW7bKLajRChhu26vJ6PR73hhwZXLK2c6tT5utwbvN9MafazrNPFqUVvxfXqHXBfCQilEqwEFsDRnsN8p1SzUl+Rz5PuDgzztZC1OYlLMlIsrFGDEsqOyuAHZZwM+fQAr9Ylq5fq2nBjAAudQzhiLo35IighEzGdo7tMjNbzzdah6YS3CIUI8V5+d5AiHhxT9TmWDctLBKekcvynEzLKh5sTSbpcpdOtxSiNgtYtINfNGckn4KZjB+MZUQGaSatJ3DL4iXTNGslNto6ooTaDRZiI/I8aKPJOFZcWqdKg7Hte7BfwcXypiI559ZWzQ7u2zsp23/SJdNDAQ0VX3Rbu4aLiRgBYmYiAM+P/ecRta6wcq780KqkbS5xq+AYIbsVq+C81y9J25QrUd4H1yKLmHdYY6n50dL7Ub9GadIpP85Bpi50EDTFMt8XFg1lEVhoZrQHhUu2LKkAWBbm3EHpYwXhGplWpankZkaDRgW7JRUAbM8gxDoRqTPfpUbZsiRBWtSKxMixMHCCTHxoBUIjRin/6doFyJsggsG4G1ZV2O7rmkwAc6lq7d9n9JgFwbcbcbErL/yuV9PyEQDSzW9Zqib20z84pgz8CIDqFbev1LR5Ih1EZkgqmx0Nypa/6NDaGawXMnLps8sC2fIXyzIeA4vu4X8/pBwx5KcAWv7xqwfllf+0IeHxRFVgU6M8HmCUvI/r/25d2qZaVmHR7b63T4FI3N1VV9RrOwoW+p77+mP9fc+6gTyXxMoExcpYAG5JnKQeifdFJjDfcz+AtutvwNUr1ogcPYGNeVNmKFmHQw49PqQgLwpg+ZZajeChLACteTaMY+UVRmkFREfHto3otRtWlEnL2QYhFlYi52DetG6syiphblErEkzI2cmgeLzkLTjTWgHsnKYpnyg341QIXewID2L6KmlOnhQJEZHRrlmpbCzSiYRVMJ+KhOeJkmDXJdsXy4JFgCLh/mhqpTkYR6aV8Ii2CHCkgikQFh/pmtbIBhEEGNpYCKR8mxmnmQqFfCy6yiXFms2shEuHIWQKJczN4JqaddxaogpByYoGfBkpkv3792ux6vRASLq2zUpJg0tmu8My+odeWeIvlpF9Aenf7VcSpMnByhhDWbIQPu8fa41nwLPkfbH4sWjITB7YN6kRKxTJ8BHqaUi/L9J7JvGQhU+dDdEjlBfPGkXCucc5d0epKjvcRFUkgz6df6QiMFca11bqOiDig3LB2kGxvuQUCQ+SUGUmlPnmsVgxINanS5iw7L68tHwSAbHTcz4mE0g7Ydb5FJP/ArCQBYlpTWIbQDf3OHJsRqNHWAm4EGAl3c+Pa9gTYFV70LYZRX7waZRWe1UBVp1vr+hMCZ9KDeXF9cEzADmTYRTUwQSfGTEyUCmGhGQqg4WDElmzZo3+XOQslU1lV0m5u05rtA7ObJdjsy9InadN1pVuEY+zSD768b+U4sq2pOdjYZfU8L6m1KUwczoYC1YZSsSj5FrG2HjWKAWUNW4r7gqKhZR2lAzzm6xZPXelcW6KRjmfWehpZjbznOuWl2rkDmEzmBoOiLdsbuvQl4wi0XYUGaY3Y8ItBO4JXtrS82p0t0ah5EtYOBAZwweLYmVXnG85+5YWndBYBFSdKhWjwyHnvKZVE9twOWn3gMWy8ZZmPY7cBHJMNr91qQKrF9/WLs/8oFOtRVpFwPtqR0jN3/zWdtn6o07FJ6hxedn7ViR1XTfc3Ky0lSRylTUUyQVvalNFl06wRJAPfParsmTZaolMRCRCaotH5NrGt2o4WCkbdh6VX3ztX6V6U+JWpKaQqHbWdY0ayUJxEPHR+1lWqnQMipHUeWOgNFQKAMmEbrlnE8tYeXm91HbMqCJHOSAoDxLcYK+DksHcsBjPisvqNFyMy2M+IzAirQdzZ79GClGbguRWC5SE2ChVXQi7ojWNH9wI4JHJbVoSyuGx3YjawBeSzmoAZ4FuAb5ZczGAiVHfw3XBMMydGdqI3t2TSr2o7SwtrGIoNIoj4y2a7du3ywUXXCCf/969snzdpqTjOLxnp3zituuUDP3888+XxS6FqE2O/YPncwzsiOABLJxUKDnHAsZxPH4wuxVjZIH0PG/0/m1cXZ43nAVhpz729Ig4vQCA9Wo1EBnY94d+rcatajWaSrFYGRs9cA1iowrNDUkV9tTy/QSmMwvcyrOCUvjdp3efYEhbUSY3f+4sxQqSCa6TtRIYHObe/7tXs3YRSH+u/+RaVRYP/9tBBUaxBDa+qkU23dqi1crbftSpyqhmabFc9PYOfeZEVchpOXJoRpq8y1M+u0g4IuHuiKwuvUjGjwUlcp790K72at46otE3okGEvsH0yNRGsTJ+UvVNS8WOMM+5H5PXNtvGWYsqszUTYiMeDCnyJ/X+nQnJ9LDvpN6/mHqks1vT1bV5d69BdnwqjDMWCa0kOreO6KJNJRO9Pjn06JDmWYDC87cILQgOPzmkKdZEasyewLkKVgDJYaSBQ8Sz554+ndikYR9+dFgBOVLGGRPPEyVC+j/P7cAfh+T4Lvtp3onk+d/2aio3HCpVbXB7TGnEx47svb9fywfoYIiV0r93Ql78fZ+21WDMgK24xs//b4+SPz37sy4N5+JuQlAEIRMLjv9SkjAzGJJ1ZZdKZDr5HPF3+yR8UKTJu0z6d/hVGdgVwGYU12j3rLLHEU1BKCk49syopsETATM7DdgR8LPDjw8rGVLn1tGUKfIvKUVCBCYYCM9RGCcoDo1cjXhSIiaH9Xslt5mG/CekGavzLUo0NBsSR3SXSSVYHCg6dlr+xmyBAUKveQON1HqE8kZWpIRIU0G9HsVfmPkG+bRBNAQgiAXFbo+vrsRGUEA2ePVdQK6TD+H+WOTsxAqkO0S5POyI1kJFjJR7I9WbXr20AAkoW78y4lW5owx5hmtVUuXVXRpLBcuE+QLhFC5QSa1TvI4SkRTdKMIQVoVExgL92i9IU+VtCn/D/ET5AVYzBxAiOXDbELVhTOb39s4djGFzmk+SQ7uWRaNIMskLIf5O2wlPHOBKBANQ0+o2MJmIDPC91fwGrOXlsHDyyRORTCoainSXJI+hfkXqyAr0g4RGCd8RNgW5RzQtvsSY7NA1pqOItDM20qKxSJi4hBJxRQDxAOywoKi/oeKYZwvuMDsakP49k1JWX6RjyYdgulOLQ6IVH6JsmZb9mwK9Ae+We8GNIczJuJecW6Vu5fAx2lTM6PMFbIR8CIsMywUhOY57hyxqaigg0/0hGQp0JWWoQzwNHnFUiVR5mqS00aXvOZu+x2wQWGG8b5PftXlDlZa94OaC65TV2ndLsMKUljJiuIv5TIi0BbbSg+YXv/iFtuIsKSmRSy+9VL74xS9qrxtTrrzySnn44Yfn/N173vMe+cY3vpHRNV4KYGsyAulEYrReDGiPFatiJFeA32EN5LOgDQsI0x+lCuOWeW7CjixqLBCzsTQ7Gm4XFgvKJl+kxjyb7T89Li/+rjcWaSED1U7qO9MaN+2F3/bq86aGZ+OrmnWXh2uW6miU49mvboniQCF1KVDa4A8k9HE9zZc5NCUvvrBbrn/dFfK5O+5KCbYeeu45+cL73ir3//H3snnLBVndP+/WjNpYQWaeP9Y3lmGmKfjxwpzhnqj6zgS/mRewFQVx++23y+bNmyUYDMrf/u3fynXXXacNssrKToQb3/Wud8nnPve52L9LS08tj8RCF7V8Elg/6s5pRfOJ3xHrJ8RqxvxNSZR+zeIhN0I5TS2gpmm+Ez5Mx5DG781Q5Jzr1XiU39bKt8J1EjGwYzYrpaITK+BEUWEiIQHruV92a6IU4WOUBue94I1tcv4blugx6SY8vv8zPzimyVuMffPb2o0mUfVG/oqERcoaDGZ+rJuzX9WqH6sQdUqUks9YsMyOT7klEPHNjVaNB8XhdYrL0kTNUeSQ8dCAuHJIeFTyJ3/4pCZs6fhDMhE2o1x6ASc9r52D77777jn/vuOOO6SxsVFDXVdcccUcxdHc3CyLWdihlBQ4AyZ6uzs+i4zFTa6HSUTDYiANmustJdxZ5THaGzw+FG1JaeQAJFuUKBHY4gEYGS9VtSwAFMgLv+lVHhWiRCxUohF2d8gdv+iW8e5ZzUsgfyQZyRBK5PFvHYlxs8Kresk7OhKGhwn7/v5ze4z0bJdDwUV2YsiNkEx2TCyI33zyBU2AQ9nCyTLe51PSpHv/aa8SKYmDxuHDIh9fo7U/ucjxI/sNeoPdIpEBEYdHxLlOxFHviP0+FyH7FGCZrFgUB+9rvjsY4tLRLA3qCeqlzM2GZzt4NLNM45zCv5g7CH1srPLDH/5QfvCDH6gyueWWW+RTn/pUUqskUac9JJ9EQHaFRTne41OAr7zOq0lO+RLCb6SLk8CEmbricq/+lyIywDB2VQA/yvxZHOQ7UHUKWk9Go1kYFy8kYx3fAVOWUxczNTCEhvH5iToQSgQXIBy6+hUNtsYMfyqhWNwXQr7UayRTJOAofMBLcCPIZqVlRSIrB6VHajj3pc3R+32y975+bdSdKV7FcwMHoZCNv0FxQsgEVQHWWe1yI2Q+fHhKDj48mLUiqagwxv8fn75d6j1L5fzK62UiOCTlrloZDvTItonfJTzerkCexDMGK6HMgWeZq/JLJyh93CYlHy8xCKXZ6JinQz1Ge5N5UyThcFhbcV522WWycePG2PdvfvObtU1na2ur7Ny5Uz7+8Y9rxz2wlWS4y2c/+9mTf3GaS6sNEiP8kPyOA1KcCKekPUXM0DEIkAAB9V/RzRvXQL8PpM9zYaza7iJaWawkN1GCJ/6KlHxAtmy4PRWbiBjnGBsdk3DnmIS39yU8dmR/QMbGpsUxMCsVFdVGhXESgw6SHX5vRsu0UZnN8en9OaJuoWaXGnxWVtxI6RL0uWb/LlevXi379u3TDNfJ7pAce3BWPOUO8Y+FpaLNJe1X/8McJcLx2UjsfQXCxphPwTpgrhjP7QQBl5KDMQ8z7C+VtSIBK3n++efl0UcfnfP9u9/97tjPZ599trS0tGhP4IMHD2qP4ETd++jOF9/791REUJIJLw9XQht7l+TXnyT6YnbgM5tmEVFov7BGdwZPsTtmdWBFLNlUpVSF9SuqUnKW4iJBlENDrfJ6txIUcW6iF+xwRC6gM+R8dqVlY4UMHpyUw7t65Gv//WV5fvIhGQ8ZDO/x4nZ45eLKW2VJ8Rq54YbrZf0rlsbA2XjB7SEt/viucV08Bn7RYuvdt19Yrclmmm8RVZyk42+4qUmtsuHDBlUg73LddZnREiQTUzmEz4nI/mKDzd673C3rrm3MW5sPokcU4lFMCL7Es59v0QgX2cYeo8EbApir87A0Rbw71xT5D3zgA/LrX/9aHnnkEVm+PHW239TUlJSXlyu+Que9dPJSiNrYFTvkN9o6FAo+C6qPhYLbFN861I6g/J5+dLtccfWl8uq/fb00dCRflIOHBuWP//KY3PmTO+Xymy9MiTHhipD0RY4HxXZgO6nulTwXlCIhb7PDHrjCjp93a7IhynLTra16/337JmTP3X16/9SvUCKfTyH3RPNUvPndbHDryScx2PZPb4bGvERtmND08/3lL3+pPX/TKRFkx44d+l8sk5eaYG5TIMVky8VETZTSr02ifGGp6SiZk+qcCIxlh49PhzayVI2U64aV5WkZ2jUSVOWUYCSgSqR1TfLKVndvpawq8cnADr8Mb5hOSTkIqEwf4EyEUPPdn92j5Nbsnhe+ealc/GftCiK/7L1z5yLP5oW7erV4EB+BEDWWUbIiT6wACv8Ic0NlybkpAwBfIpOUxb18S12MEhGsCYuE4rvlW2r1WI7pfHZMwWmAUnJReHconK7nxvT37P7poi8oj+LKzBQI58biBGjm/kzFAz5EpTV1Q9YIH98D4gPg5lNJue26MzQOxxrBD+ztNeL8aCzySnBf+P1NN90kdXV1ipF85CMf0YgOfYLtSLyhpFl4uMEZaH/AS6OQzBl7WFowNhmScCSsSWzW5t2Aqhybz9oDFjstGUC+2TmZQPmiADz2zLCmzANmogBwB+w2eSK/QttAROi5MioXvX1pVu0Q4iXS75Wyrcuko8Qtg88H5Mn/OiJXfmS1rf68iQTFd88/7NHoE6FoMjuf/t5Rfa4s5HghFZ5oFYz1YDR77x9Qd3XLO08mTULp/PFrhxSYRiEA+ILbnPenS+SJ7xzV0gQwKMoGCCszl1A6cOEAUI52zWikCZKhF37bZ5BvF0N2vUSWbKrU8DZlBsxfiJcAkzOpOM7kmfAejb69Dn0O1Ecx5/bc26cAPDQD1EYRqWOcvHPdPFaVK99rvuakLZX09a9/XU0cks6wMMzPT37yE/291+uV+++/X3NL1q1bJx/72Me0ofhdd91le2C8DOvOri0Xoim+6YQXPDlkJGyZYpK2EF60fo8JiT9KrU0+U4bZKcZ6ZnWhav/bqfy1xoBECDeFKAp1IozdjrAjUaRGnoX2Yxn26STLi/R7xTnjkQH/UalY6pKJfn9ezq0ERIMG6Q7UhCxEQGiwm0RCOJOZwo6M1cNCS0aaZHDJzqoixVrgeDYBni15Lo1ryqR+VZmWBBD5IkqEK0Z4vbK1WBP4KCdA0YDzKDl3gHYk01rQiMVA0htKTxP7ojVTuQrvHfystqPEYJ7bO6lrhTFPDPg0oZBnRjgcgcCItVFU6db7yOectO3apBJA0vis1mzFCrihNbWDGah+BqqPRcYKtvrmvGAIcIzvT5xbLZFKo8tbOjp/OwJISz8UzMuKxrnp+rlKZVORdMKSNRnS3TlZE6ZkwnOhfoTQIrsT7hAERHmR8pBEXGGpdNfLzEBYampdeel1y316iglth3S3NzeDZDkWWv9D0hh1WBr5Cie1inj/ZHqCtTC/sFDpX0zODMmALH6eGSUZKDDWAZYuG4VvLKBWIXOuorFYQ+Us2EhIpLTOo2Foxo7yob6Ha+XrWfPeqRciTYDr1Z5j8L7yPRaqNvAqcUlxNDmxOMrTigICyI9PeMtFFiyNQLzJZaelodkaMv58idomchy7xXy0riAqQV9cMkrzCciteFm9eMvdWmwIpaFdM1kjG69qEc99Lt1ZadwNSJkXaZ+R2bMmJLgtIO4Sh2z6k9YY4U4ugstx2buXy8P/cVAmev264JdtqZU1VyUGfc99bat0bR/VaA77H/UpdPxLJLgrF/9Zhzx1x1G1WKmB2vy2pUogxHmoGsYSXn9Ds75TTkjNCxhTVXO5bLylRd/vmqsatAgUS2bphWXaoJx5QBr+/ocGtfCy4+LaGFN+roLlBC9s3+5JVQqQHyFEXhgL4DP4CDgagjvDhoYSpuFXPhMtC8RGBUnclNplWIGJyH3e+58fjoGtkYBDxO8QKTFaWCDde47LLz74S/nJz38iL3/l5piSxsTH3CfBjoK/bABosAYSpdjV6SfDAgYr0N44I35dLPTAUZBzMihdO8bUMkEBWNP7EwmZtqTqgydY7x1XEEUSj0Np3kuGG1A4SH7PyQz9WEraVCwBYVS+N7dspEBsNE+SbFLZJZeBuJpsTPM8RCIGD9KawKG+d7ZNpXMRxgbHCL1u6RrIbgeVXzKJHC0WebRGZNYp0jYrkSuHNZej/LGVcn39u2X396bE03NEU+Q5J4RCVBWbhEJb3tlhW5lA6cjH+j5+/dfPa/4MggIkknPJO5appQE7e6YST7BkSrJ3kelCP75zTAsQcbPI9SEUDZgLqAs3De7Pxle2qNWEhQgfC/ysdcvKNEU+Wx7VTAULBVwFhQZGlI0CW7A0AiftktMG2Go1oNDy5CHE9/6dLwHwxVQG1CLEl41A2AO5DL1wYcLSELEvJAceHjKiMX8czqoPbD6ENhkQAhnPO6RtG8jZOOkejvZL9wvdMnWXV2Y7gzI1NSGzW90yfJ9PP459lTITnhBXsahJjxJ54ttHtIrZ5BtFYZmkPbkI50eJlFS7teyebMytP+rSdPuFIDOjAdn5y26NoAT9Edl9b7+WOwDm8qxD/pBaas/98rgxDx4Z1BR/NhoiLIceG5r3MTIWyI54T+At2cjisEgiovkY5u5gppCzg5qkPumqWvMhWtI/FdTdxD8bktIsozmAxuwyFJQRnYKwCLOahcDEw08/HUJUgugWQCXjou+LlYnLrB/5n3/6kZS5quT6uneLLzwjs+FJafQuk91PPiYko19YcZP4wtNSWl0k/gGY6fwGVkTYHRLuCo+ykXG9XIXnxd5iYlDMA1wzdvZcQ875EN9kUImI4LxhbAN7J2KkQuApFU2lGoXiOTMPiCBBvMRcYE7grs2nsGnAa0MeCq08eU9nrCJRJDraLcwazWHyEN47Ven0oOFVzQZzVVmWeQA1bSUy0TurSqluhdE2odjtUDOWxlH0EMbEPR0CKIoSgajIBCitwKC13gRL6sCvpmV4b1CxEdL833nTDUbOxk+mRUIXSGDIrREbUr3BLrDAUKKESiFRortcrgLYzMKDfIgQKIqFdPV8AZq5Snn0PrH2EHJZattLtK6KsgaAUp7Z0guqNaJDOB6LV8slogV08ykodhLZ+vaM6+aWLVVBAWw9DaL5MMGIKiYTI8BNw/xFscx32XgqIZOTnrsg+vjzqSYWu/6BPw6qZUWORNt5BnaB66btKNxOrUOBwBhX45GvHjTY1Oq8ctl7l2dV95NISPh67JuHVTmjoG74+3UK5i4UmRkNGEo0GFGlahI349Lg3hHWRpGAl7Ec4YyFRgCLiuNPReFespadma7HgiJZQMJCAPCyWliYwJi97BbpQsj42Ea6tFPL0E3QDJyDMvHyOoOJ3q4wRSj5BwBECXRcVKtjxEQ/8PCg/pfwsZk+nkqSRSkyEUz9R79xWHp2jitR0ZZ3LIspDH6HQsMCyGfODrklFP+hBNrOr1aMB4E1rR+rocwlyy6uzSttIUrXVCTpuGOwDEk6IzcqH9myZ3zUxiSDjkeU2cmNcvv0E9NIYoIQOP1LB3tBS7NLmBNT/clhv4bxSDIy4/CAsLx8jssW9T6+c1R6do2rv0ykgdYLAMnkMICo82/6wCZL7sLKIW0bU5lJRfUviH/vCxPyzA87tbsdGY1QFjLx7QKaz/z3MQVgUSDrb5ySc1+3RB761wNG75mIaF7LZe9ZnjZKkm3uAu//95/eLYceH9b7U9B7z6T86dfP1cWdLOKSi/Cu7//iPk3sQujre/Vfr9ZSC3oWT40Y+SzHnx2Ty29fkZe8DBLanv1JlyYywoMLU1yyHB+UMgWPPS+Oi9vr0twRzXM5DbJoojb41dq718KPgGIAjFLG8DRC6G1yYFYXfDrWdUBc0rqZQOMWYhdMVFKvmcTsGKYMHp5WfAO/lglgVzgvbR64H/rB4logSkq0f0IXCLkTTLJkwpjodWOElF3acJoMRlwPbWO5tkyfwb4HjKiMHaEtBTUlECXhx8NtenzHmIY1SREnfRylu+e+xBwl+RCyS3lGJPeBLQBG8qznM6rR+eyoDB2a1lRz2OzIZOW5wkTHtfmOjaOL46J0BbmKnpukuNXlmlAGQ14yYY6SJ8P8MDhnB0/qqHCqZNFYJMklw90/CzczmfUd/73+O0qok5VE/07Xd9x5lPgn1tgrg3PBXxQ5cawxtohtOoK544sS38jc8Zn3rYp+ZlYGB32atJZKsib9MZ9R3Fengv9Kb9mg07VceO5AHPkah3kuO7o+9s5PXwLbolAkRt9et8HwZXEbcCVwMTJhvtKm143F+sDT+dCY7yD/gTpvLFqE4FYQfcAq4rrWaAe1GpiXZQlImdMJGZcQ9HQ/N64pzW3nGYTKkCFTEDbe69NSfP6dTEhiW3J2pfTsnlDTn0QyivJWXVGvuQE0pS6u8sqaaxptT7izbmiUp793TK0i6k3W39SswCpm9LGto6pEnnnuSXn0Dz+VQ197Nu35iPzYVSa0dmjfXK3WENZPOBDW3r3w2M6XABJjbQ0eMKJYWF9U2OLKghlR+Aj3y7JLavJSBoDwvuDGhSYCfAQXNZlAUckYiQgR4Vl5RV3euVEylQLYuoBEgUjXXLwHDIhCNRRVOh8c14isWY6jKMtUGFSbAraiWLJpGcEUAWvh3Ci6js1G+Tm4zMFHhmTv8wfk9k/+uXxw1ZtkeZlRpm/OKqvOOjx1RD7xwuey7osL6PzoNw8rLkPhIpgM0aJUgtJB8VN8F39PmZJLkxiGu8uiNZnQaNaOcqanUsfm6rxmIgPw4paiSNJF8Lg33CyjIDC/GNEZCba+FCSRogAbAJXH0kkXccHSwmJK1xc3XS+Y/X8Y0J1t4yubNUIDxkIWJhgQRNjgAgCcZGi+eHef9B3zy5rSi6W9ZLmsq1gtB8cC0jMdVCXSVuaWZRVGIlqugjKkTenUgE984wHp2z2RVJGggGGz331Pv9r+MK9d/v4VSj2AdQX+QZMpWldYU+7jhYUMaB0v5P3wiVcA2+/sUtb/hlVlymeSDADmWR99akTxFSJytMIw3xHFpYkKTBNJsmJUSi7MeZNJ1wCsLCz7+OhTppjLglUkp8pQMnq+oNHnlruD2BM1YSLNh6bPRAB7d/66W3zjQc05oco0b1W6CYT8DxYZfjoLbrTrsFogz/2iW12Kkkq3pm8DcF/xgZUatSELNxSJyFlll8nIbJl0uYNydDIgrii2c2g8KMVup7RkWZtktdbu+cc9CnYrsdF0SMmI6BiXKFLx/G96Zcf/dOvCQIfR4oEFRcSFBllFlR6t4H3oXw/KLf93fcoG5ZlIOBSRx75xWMFPamdwA5lbKK9EQv/mp75/TEK+kNH57+i0vOIjq06ynLJVuBAeTQ75pKymSNbf1JQyQQ/rqu9Fo4siLiuKiXdHt7/jB4cXtyKh1uBUCPkH+KS8QPxMdnUmLS9DU8YD4dOmSIaPTsUIdIjKjBydmldFguIiosU1dCIdJGFqQnd+dm+iJUUVQW2OzU6K2U/W5uiYz0iVD3plLMoTQrYuGmnSH5YJf1hacoQQMPWxzlAi+q5KXdoyhOeSSJGQHcriNl0DGNVI9OJ5EqomR2O8yCf9x0bkyfuek7r1npwA4plRv0ZuiCaBeRHVg45RGf0TYHi09whMB7X9Ks8cvhKwsPqVuS9JtWIHDP5ang/8KMkUiakwSNeH9Gi82+h/hEsIaVKm63DBKpJ8kgylElLSya/gvybhEdfG3AyHqQg9fY+IUnlcAiaZ/jtPPX6TiVlmb9SCGAuAJCcsNSY+Zro24S5xqXvDbo/Vplm6zhJxO0MCVIAxGaYFRDTC481DCYOST1GTMhlUJUJdCJaGFfS2ClQFDICNgGeIqwOZE1mkgM9jI+PyyH2Picvhkc+/89+k3380J4DYW+bWJt8sYPAKngsbQDIiLkiveDiavjARVAxMAwp5ECwiXFN6G8d3XYwXng1WJ++VfstYaohiLhVuGRmaB9cmk96/s7OzSrF45513auMrmOO/9rWvSVNTk51LnTIuBlwGT0mp+oemH89/AdXKo8TNp0uWnF2lBWgjUPUtLZG2eU42IqGpd/e4JsbxPNZe3aDAKhPxka8ekrHeWc1R2fzWpcr50b+3SV78XZ/MjIZlNNgnNcVl0l7eKCOUpUdpK2uKXNKao1tjLtRL/2KZPPIfBxU85h2Rwp+M5gBCJSJKuBgIjGeQTLP7Q9vYc3BInA63rClplP9c982k4duD0wfko/s/oPVFqcRT7FIu1if/66haT1gAkCMlw4aIxuBS0EAMBbLp1iW2OyAmE3Ay3h1YDdEurJ5UQoN2lCwlDTSuR/i59exKcdcG8x+1ueGGG+SNb3zjnN6/9Lax9v593/veJ7/97W+1nSdoL60rnE6nPPbYYxld46UctbEj2vQJFsEsd3uzmyCRF5SmCbJR6k/SFTsaoU4TAKYGh5AngK/JxEWTtP0PDsqL2/fLu/7uDfLV8/9B1leulZlgWLoB72jZWeqWoigB93MjB+TvX/wX+a8f/ae8/NWbswJg9z7QryXvuCYotFTREm1/+b+9Os4NNzXHyK0Bjx+/d7u84a2vk++c9W05u8IgJg9FwhKIhMXrcIkzOrbnJ3fKG3e9Xh64/0G55MoLYmPG9CchDEuisqU49j2p88NHpnTxmu6E8axpAB6R6rbiGCG5Nig/OKWKJBPi7Vzf+YKJ2qTr/cvFvvOd7yiT/FVXXaXHfPe735WzzjpLnnzySbnkkkuyvZ95FU2zt1gkiPJ9BsK6oNJNePxgJifmYDr+VK5FbgiuA5XAqY4HrCNbESCOnAEiDywcdtldd/UocNhxUY0S5diZXEzI5/6nWwFJMiJp1HXlh1bquR/85/2aQUt+ROe2Ebni9pWapwApEWY44c6L3rZUSY+e+u4xtUgmRmeVyMgXdIsPcqRhn4wr2u+QUV9Yzq4rklFfSHoma+Tm+tvlua9NSMnoMbnotnZbyuTIU8NanKfuVZFTFzOp6YnOgQsEkEr2Ld3iwEyu+9u1MVetZpVHhgJdMUtkNDAre6eHxBcOSrnbK2eV1kux0y3DAZFX1v+l7PrWpDiOHJPNb1mq2NBDXzmg7xGL9exXtcg5r2nVMPGT3zmqGdhgMwCtFN1t/WGn7H1gQLODmzdU6DNFHv/2Yel9cULPQS+eRE3MTQGr4n0FpkNqiWE9LgQGtXnp/YtCCQQCcs0118SOgU2+vb1dnnjiiYSKJFnv3/iJr/kA1HSUgsLn7wHin04MzCpGojuL04g2sNvMjAelvM4jlS2pdwt2FcxUxkYTplRkxyxSJa4JR6S2o0wnRDIl0Ll9REOxmPVgFGAD7RfUyLM/P67AHL7w7nv6lOui7dz0BXOmkEhFuwZ2RgBUJjORGTAZQFRCvCi8A48MSes5Vap0CCWym2K2P/ODTlUotHuA5Lq43inV7iY5NhmRqcBxGZ0tE48Tk9ghPdMumQ0PyESgRGZCIe2T63Ct1OvjHmVaJo9iJyqCwkapslipQ8JFSHTvPBcUYQW1Tw6R7p3jGrnB/YgX8Jx900MyGfJLidMtQ/4ZOewclRZvuYzSg5z/c1NzNKCJgcd3jGooHEuOcez8Zbe6E0/dcSzGKwMg/eR3jyhPLOPkHbrLnfru99zfr2Mi/MucQ+k9+7PjGspO1LGP39MAjPIOLCDOB0a1kCqcnfns/UufG1pSVFfPfbHgI2YPnES4C6aT+YGJPl4w5wDXQr5wrE9sviTgC2l41TdtAIx6b8GIItjE1rW+J433NzPiV2pClBJhyVTCbor1YwBctMxIfvw022EUr0HBKUHQZFCjSZVNXvV/GTNVr3YEIJAoBglqKD8ASCYp5+c6fEekih10qt8ns2MBZSDDzYFZHZwBdJ9nh9IsKvYokdGe8aPyy+P3SNfscdk29qxsG9suXTPd8uOuX8veiUNydPqQEh8B6gZmw7YInLgm9824GCPugFFrlfgccK/y1mB31xCw08itSCTBSFh84ZAUOV3idbrE43TKTCio31HaNREakqJKpzK1E52h1QPAL6Azz9A/HdJ+O8wX3iuWHUqZsaGAIeUC/FXQ0+HQ+UIRJfOA+9Gw9HRQCYYSifHOA6p0cIE4H0z3C0ny3vvXriTr/WsVdmyjMVH+/UOQ6XBzsTJE8TmRTl+k5jMVmOksIPglBg9NSmmtO2kUwRTK+wktA6I2QcqTgtkNPIIObdpjtpQ+NmV6fpLBtOHS8VlNODJZwjMViHUI8dEXl/PiwmGCE5XZ98CA4c8H4aV1SeNZFVK3e0I6nxk1FhLtF9pLlTIAU3vk2KwUlXtl47pzpelCt5S1uOTAr2ZkbfEqVfq4fTe9YaP0PuWXkX0oJI8ERp264MyS/EyE5wTR0rFtI7HFxbmS9RUmtZ33yLM2q8OTWT8eh1Oq3EXSH5iSQDgkqPYad7FUuL1C8LDB26GNw+saXZqExrWhMtD3OB1SRUBSW3XbkBIEoRzoZwPGRGEf44T0mvEQGamLElc5HxnU/jKwyxtkTIlzWTQZkXf+/LhaMsxJrLJFr0gAUH/zm99o79+2thPtFpubm8Xv98vo6Ogcq6Svr09/l0iKior0k07mq4aA3aOy+eTFbCe7kJ2CnSk+vT2ZciiucqslgR+dSkmBpjP5AA1B1TGrOf6CN7VpRSqTGAUQn2GZTki+uuKDK7VcHVeB5travNtN2NIv+x4c1AmP3952TrVUtZTIY/95WFPCGdOWv1imOQov/8uV8tR3j6oltvG6VrnsvStU+TxVfkz2Yb67HJodS7Rk/JUkfx0wwsiNHnnZ+5bbYuPivknYevBf9qsrCYHRpe9ellQZgSdBv/DCb/rUomQcZ13fmPTca8vqpXjGLdPhgFS5i6W9uFJcDqc0ekWOzT4v16+4VC56bYdiHCgHrOOjz4zo9c9/41IFVq/4wAp5+vvHZLRrWtrOr5KL3tah75h2ort+3aNW1cor6pX9HsHKPvb0iJFs+KqWpHwizP0L3rRU6p8e1nO0bKjKqtRhPsVW1Ca+9298XB3MpKGhQX784x9rhz1k7969ipMkw0ji5aUctcHNQRml68kKXgDQx07GRE6VDck7I4uSpCR2smVp2jQC5B7dOqLjoICMxc71aBFKNILdl14yVo4WkpbiFb2mVjtOpP1zHGAkCVIogTVXN6SMuGDKH99p7MD00DVTzfv3T0jv7kkpr/PqvaR7VmA9yukaV35gttb49Tl3y8by5O1kidq8+rkbMqoPCgXAlQZlasCv4XqzLQYu4+EnhvWZLDmvKqb4IYoCM8PaIsx+KniHF0TUJl3vX/77zne+U10VAFgujOLZsmXLKY3YMPHBOahUzRaYVWIjOsIDkpmLJlogBXaAaZ6qiI6FQ7SFNGwsgFRmPMdSiAbHB5OJ3TRVJiLpz4CwYAT1q8vkkj9blhTgJaqy7Ued6leTaDd8S4tc8ObEjaKY1Pd9fq9GJRDYz2789FkKMm7/cZe6OzxOwNkrP7zKsMAcJ1xCq8QrFoBZdmsll3IYjPWv+OjqhK4q7tPDXzkgffsmtVqfUCpRJdLjidrwe/6uf0+DXPyO1C0t0ika8kRy+b31vTzx7SNaq8Q8Id187PgSWXd9k9z3hX3KV4NGK/9dkVz9f9iAHfLwvx1Qek1u8uiFNfLyDxI5WxQUQbkpEnr/IvT+tQoh3j/7sz/Tn7/85S9r3ggWiTUh7VSKgolT+NDerHqCaO+ZY/RtDSg9IfUcCOCZdm4LRqRuRalUtyVXDuxC0AIASpMABTiYzHRl4YLga7vIUfI4huXc1y5JeixkPoB9WAuwhHU9NyqrX96Q8D5e+F2vuhj1K8s163LfgwOy/ubmhM2iDjw0oOAgBWfgG1gghx4d1CiBq4iK4mK1FBgr3eQypW1kkYGnsN61d8tEUI49M6q4QSKi664dRoc8kxya1qLUsEDyQ1SE8fGcYEs768amrJqfm4z4JJvZOT6ZTPT51GrDbWWTAT+hoBHQFSUCLoUiJ2JGNAzVR+QN8moikkSCsAYXUiTmtPX+RYqLi+WrX/2qfk6XsAhyqvnTxB/YYohOWU9E2jdxh2j6d+pTaFjRCCenJqoxxhsRl8upu1PKyFSUxMaFNeByGKdNdu5oAlMsY9cZPXeS47W7m4W0iMO4fyyw2K4fLcazXVSpSLmZOWwmV809x/79+zWDtG+/XybGpyU8ZLCOTY6H5MD+AzLQ65fJyaB4x0PidZbGErSyESsjfjrJiIwpYnxMt1Hfuz5rk5TKfH7Gc1YioqjxYc6RBcboYUsWbK1NLqIhyWi9QTaCOUwkhp3CatFgUTSuKlfOVsDPVALI1rKhQvvUVrYWadg0mdACgigIRV74/iSZJT1vvcEHopR8Q36NWiQrg+c+1l7bIDt+dlwGD07qZIakiF0zkay4vF53eeUojdAJsFRWXFqnPYaf+5/jMniIkKNDoxF2ogZcd911TcopS4EYi4l7tFo0KJE1a9boz6XOSrmq9jap9y5VpT3o75QHf/s9aS5aIVuqXivF20rlws2b5ezr26SqNfuq3ayY2pJIRXOREi/Bb0uuDdbHWbc2SfvmWqm7p18zXs0IDM+UZwCVAVYIz2fJuVUKpi9WKRAbLSAh+gHekI4kB5cF0x+wFbcrVU9bdj+6+o11zUh5Y5GSM6fCDQgxEklgIay+sl4VKoAlLhGYD4At0Q+7LUu1D84jg8qBSk4FbSqsILEJfn7stX8uS+ubJez3SGjMeP+uqnFxeo28iePHfHL3H5+V//ev/1eueetFCwpTCPpCsvf+AXUhCeeufoWRbEiOzsFHBhWnou0ExXxm2QGEUST1Lb+0bt5bc2YjBWKjUywsbkzVTMBdcAYQfiwcawQlXXq9KUxOGillInROo20CQCWsaRRikc2aTFo3VupnzvXoT3Nd5kWXhx4fkgMPDaoyIu0bZjHuc/WVDbJ6LrymiVjwoHTunJUlRWulra5ZVrW2S2DWKdNuY5xl9RXiLjZ9mGOya/IP0nieN60SYbeH/BrXjIVK6Jr3BFCN9YeVuP7GZs0ZIjmQFqWKW6wplw03NdlmPZseDmj7S8rvyTVBafCOyZImVZ+QMUofEm2eB9mw8URUgPwobf4Gq88aIZtvJciY4gMIPK9MpKBIkkgiYiMiDnCEEBFipzZ3EIA1TNciErjWVaTsccKuTs0I52peVy5LL6yZV9Je0raNNHuX8opgdl/7ibXzVvjFgnniW0diFIfsutd+fG1CUBVjmNTww48Nydi4Ty6uulWtkFCjQwb2VMrMmOE+Tg0VSdP6MXF5IrY4OeiBQy4JoAyW1is+vErfEyn+ABpBH6D6jLzio6uUTY0ewmT5Anxi7ZG7kamE/GGtv+l5cUKKy92y53C/KpNzX79EHv73g5odzCIdPHRUI3OURiQSyhH23NunUR8ULFbqeX96IldrPgSl1btnXFxup3K7oPzMqOPxA0YCYDpZOHbhAhKsBVKeJ3p92oLA9P5QLPxbGxgNnki3JvrApBntnk3bXJwMWOXUKHYaREJpUupzEZQVFbtkwxJOxo/HMpnPfrIkrXF/uFxkcBotPBI3C6foEOVW3lgsle1u8TqKJDRZKv5Jt/gmPFJc7ZfiKvg6POKfsrfnkfim5D5ry6VxTZnMDAf0effSOjMS0SxholAsFsYMdkMJPWF6CL+JEtmRiX6fnouWrkTTiNxwb73Pj+szgBwaC4NNiO8TCbv/8edGYxm7WKh2x5GNgJ+BgxGxQwGbyXJE5vhvJlJQJAmE3VrzR0qc+l/TYmDxk7mJqUkNhymEdpVgWH+X2hwuqTIadKNwIJGZT9Zv8BbGZjK9sSsyRj7zJeqeOaLNsyeCRnlDEpfNXQxhsVtzc/wTYXE6nOL0BMXlCYvTE5bAlFsC025xusP6na1x0JnQ41R3g4VMhIvvSAkAqyA9gN+BTwB2e0qdWp+Da4E7aLcbQFE5+UYudVtRCISpYWIrrTMynnkeuA/8LhnYjWtcUuPVYlHj+RkW8XwLIWqtdOcZRXErSL64p0w5WwuKJIHgK5KCjK9cbYkK4OK0rK/UWD/ApSmg7UvPr9Eq1HQvHj8dwBNSZSvfx7zch8Oh1a5ko1KNilKkGtUuUGpHVl5ep1ElFiX5IlTn8u9Ewr2f89ol+oxDAZEjM7vEXTci3vKQ1C6bEpcXGoew/uwts2e5gQWtvaZBlUZgJqxZumAW629skub1lTI1HFBFRsdA8oEufPNSKaryyES/X91WiJvtSEm1R58tLgk5SDCgXXxbu3Y15JlQWAn+wtxhDMne1/l/2qaWi2HFlCXNJ8qnNJ9Vqe+o4+IaxdFMXIz2J0STMpFC1GaRih2SG8LE2vu3oUiBxfkWdjfMfMbGokw3RlywrU9tl0tffpF8+T1/o2ArYuaIWOkKD3Qfkw9/8/MZpazzjMgcBWyltN8EtgOzQcVG2P1J17c+J9xXvrNaUSzqcIgK3hO1UdwjSWhgT6WWREPA1sHDU0oJ0LDSAFKxQgB++RuwonSKHHyJ5EeiW/nsKZyNFKI2OUZcmIQwWuEeWL83zVPrZMCtYQLG82Ni5uJWgNSbE5NQKlyaTCpChDHAtmdWyWvIWGU3TTXZOG7X//aq+Uu9CRGVVIsVK+lUmMim8BwStcVIJuoqljs1Z8SU2TGPTPQa1mBFy6wUV9ovm+e9xStOFun2nx7XqA0WJpaHGY6Nf04mART8Ibzjjgtr5KLbOpRF7pH/OKS4CmM/9/VL5Kzrm7SI74nvHFFaCpqcQ2zEuXk36frvWAUwtiqu7gbMhz6/+s631MmKy4w6HjvCPdBQHsUNBYUZfmc+0x6UKFu8skSJZiILVpHEZz3aEfxfwopMlHSYBS8GoAzKgDnERp0QG5Ei740RG3EswCGVu4BnZnWwEhsdndLdg+QwFAf4wJGnRhQLwRKgGxvKgXoWJhz3Rzk+6D3cIBDxsMMRTUABrbs2sfnLGLb/BGIjyvfdWkuDmwXh0ZkgnYO9Egm4ZfZYm0R8xiTu7Q9JcXu3ODxB/X0uQv0QoWkS+7CaYC+77hNrExbMoWwICWt3AY9T9j00KPWryrULHnVRJMPhvm37cZfUdJTKk/91RK0alBfzh9qbV/+/jTlH5ZjLRLcAQsF0nr+rR3EdUwFmKrDcU36BgsCFwd3DhaHHNGn8VHwvObdagXmUC32Leg4bfagXrSIBkMzlwUNMRH1IOkUCuEbpfLjUKO13Fzm0mpXF7J8IyYw7EGXZcuhuhuUBmsiCNhWJEgI5HGp9aI0PimQqqOflhUOGQ8k/ioRIAjtUcY1X/XR2B5QOpDa1HSVq0mKdJBOuwRjYUVAkfXsnFY843WKmt2ebbm7Wsvzz/3xX2dYurX6tjAcH9btKV7089tDPZSxIsytDhoaG0vYZTnQ9nj/AK8odawIAGmWQSJEAAgM2ml0LJ4f8+q5R4ixoJQ4vdalCGu2c1vdIxjNgNpgJSoX3m6t7QqdFLAN95xW88wmD9MqmEK2j7YTJGs/YvG6DpgIlAtkU9xCzRsYg7HIsbkVC5W62giWCEvGWpL89FmNlY7ECbzFiI69Td3mXN6ATztxRiDCw26BorKh+5ZJiCR6ZVgViVuESciUUyOTDojHaD4jSKwK6MTGU2AjqSHoNLylR8xUlkwrgKqsjlFusu4XRNsOVkJ7vVIo1vT0TSdTawVr7EvJF5PDdMzLZZQCs5W0u+cwN7xBXkSOmRK677rqsrgebvPPRIaOvzGxYWtZXJCWjAnBnLkEAxXyEkxelYlIzmARVZXVeBXApHiTjuKQ6JDMjQem4iFaeuYPppdUefccw/JvtI6C9tCtYUBApEVGi1IO5p/fZXqqctiXVLt34EMZNGHtyOv3mgBTAVpuijyuumXkyLhF2M7VE4vr2sgOAv1Q0Gi0AEHYCXjKTlRyMVJgHuyql/UxiEohQPKezE72Z3v6Bz5TLkmXJlffxI0H5j89MZgSUavX08wZ/L5m2LJ74633rkx+RNR3Jk7X2He2Sd/3jl+dcTzNbHzIyWwEz19/QnLINxNGnh7VymXe55upGIxLkC8u2O7u0lIDs2Ave2KYuLZYJ7g0uCKDqlncuy1uLCeU0eXJYE+VaNlZl3SgNa5bx0/DMOlexsNmYrNYTc31kcEzqGmsKYGu+RRdsgjWbyIXCsilJkCeSiHkNk5XQcLzw0tlBIPYxdzftUn9ZvSovdkFTieBWDRycUqXVuLosLReHHQGkIwOS3ZdFkkhxoUSWr7M/pbDO1FVsMPhOERaoWQZgLXhkcgdnwuIUlyqRc9cYjOyZCgp62UW1agFijYKVpJLWTVVGxTMM8Osr9L5ZbJf8WYeGd63PobajVG767PqTuuvxXuCbwXUGSE+nXHBt2Wywfs1Wotq8/aIanQ80ULcK5+ddZ2L9JKvLSlTnw71lalEtGkViGk7xE9hOjQt+HyFF68NRhvrpUMYvIhkmM9nvV8VBdmS+2gRAVvzcL3pkon9WJxXUh0zCfQ/2a3FYwBeWpjXlmr9g9J49JP37UCQOrS3RvIY8pMLDD/vEfx1VwmKQ/nNf1yprr07eOsGOKKBJf+Mpg+3t/De2qQu5554+BasR2i9AB4lLSV+bQ4/MyIWVN4tvwv70xZqjiRXWH1jGhlc2J+RyMfGzP371kJFdGokopwv0kmZkJ9mcc1qeObjaH/71gLLYA7Djolz1sdVJ3VG4WCCiAsPgOpvf2q65JwcfHVQ+XfJiUGjnva5N3zMcKMefG9O5yztJVIqQTlBE1AdxPty5bHKbFkVCGosd0x+g0RrNURZxmNWjAFEqMeL+szLeN6MTxBQShZhUY90zGprNRgYPTCrjFx/SjPMldIojfRnchcgQjaHYvff/IQpCNhfpIudDnQi4Sc2yUimp9So6Dw6QDyHsCKALVyl+HURHqdjv7bzXPff1G20/GryKARANwTU49MSwKmY+EBqxS2NtdW4fUxO81tMqo532eUt5hkTeiJixqey9t18XUjIlhxIBj4DygFwQ2knYkePPjakSqVpSrC4ryWqHHh1K+ayZ54TPAeN339unFimRJmXmq/EqPgMhOOUaR58aVgOZGqoDDw9kFe0knYDSAcaJ5ZmNLApFomQ+SjQU/5CiREMZwDzKaA6hTByxD4lGBtFMerKiZBKi9wkkQ6GTyXryEbkCCGa2YHUwXv7LDkRI0jyO75Q7yE0FJ6Q6+RsLFIucV2kVPbRlMK6Xs0QMBc85DZfGYdxj0CBT4r65T+O+je94T04vIfqQREL2rS2eH6LPyevUOTGXvMp6rDHnFPvi/Ubs33c4Orf0+enrcmjkJJloz2WPM1qJS89i43lwXQIIpCkolWj0eZhzgWN5T9nMYZ2/UXKlbN/rolAkRh8TkrqMniamMPnQ0CYxcCrhYVdQHNZUPCfUR+0F5hxM6dmmq0P9V7u0RBrWlKUlPLIjgKiVrcUycmRGEfS2c6vUV24nBX3MKIYjjRpsZcmmSo0oDO6blNGuWWneWGmbXT6ZwCHLs2FHBuAl7T0fafa8S3IZWGCmlYAZT1QKbGKq3687LfdN6BN6S1w531hYJsOjUtlmf/ekjMGMrmhy1yW1SXlAwGgof4BDhePBVTJNGTeFd1O/wjgHxYEkqqUiroIDBo+JEC/PnN7GzPH2C6s1DAzpt1GIWK5RGDAXTYYscmnJRTauLLQGzB3mcTKu4HRiezbQguJLX/qSIuE9PT3KKH/rrbfGfg936/e+9705fwNva3y7T7uivUkSfG9n8SeK52tORzQ0m63w980bcjtHIuGlXnxbh+YjEG42Q8u0jiB0jGtnJTaCPLjnxXF9Jiy+fBUEMkEJXwO2EulYmsfkNxay2W2O+zXv8Zw/aVUeEwTsBAyLnAdwounaHtn65d9KaY19QnFCnbTCoGKbojqURTKsg/fKMz22dUStApSIXX7YkiqPXPVXq9SdwdpoS8OEhpKGPArS8MqWotix8KZAgk30CDfLVORn3dCs74NonzWyZWuM1R6tFctFbCuSqakpOeecc+Qd73iHvOY1r0nabBxCaFMy6Vuz2AXzNX5CJkuzTyRm7QaL35rWbXZZY6KYi0yJjdafHOHBWqA0n0pZritZtD7BXz62bVQTlFZcVheLCmEpZEpMDLuZv7tVxBmWotZucbgNPCUyWSVLipq02ZRYor+JGPZRkmZ6drDZcH8Qksd8w2Epd9WkNePDIYc0eZfL+JGgBDeEYhEhkyP3hLvs0AVKxjFJW6blYeZsxJM6KdvbHwele8eYFvqtv6EpZY8e3qEmp2nyY+qXwjU1WhVHXIUi4zyMk9J+b/Q0zAU7/YGYZ5wr360vbCuSG2+8UT+pBMWRrCHWqRAeFh8mTjpTz8jgC6jrk85F4tjR47MS9oelqq04tisQXRk8ZEQBAMnUrw8aXCC0dyRcR+w/2Vg4libTWmvjNcxZTGLMffrKkvXKzsZunCx/AJCMOg+SpBBaRlz23uW2sirpX/zoN45o3QXri/Ff9dHVKXsZx+eJREIuCe+8WCK9y8lSEkfbPnFueEJkvFZGHrpCzqsol2P3z0jXklHlqU0kALnbf9oV4+1AaVKdi0IlVfzYrlm5oPImeX4bfKcHE56D8e98NCTnV94gRx+YlapQjz4/ojZP/3en7vjgCtAhUifz/G97FHgNh6l1ccoFvqVqLSUSlAiRHxYkc2LwwJRc94k1CfsLEcalLoeUeadLpOs5w2Ik/ydTMVn4yWkBw0Dxbn5be0qKzUSCYqafNFHKhjW4R/ZS7FPJvIR/aZ7V2NgoNTU1ctVVV8k//uM/Sl1dXcJjkzUR5wVlK2aqOrtJOh5MJSs6PqOTgEbiqdwBjqWLmoaQ4SZpd8dqGHhJRJAI2bFDEL4bOmooF6JC4DDJTE92K6IzhHaJjvQ8P2Yokv2T0QzYCvXRqYlIpkiYzNQMUfrNjgUTmCZGJWlpmUjw4VGK+ODcI+cg8pNswcent5NsVuUukYurGmQy2CkuB2RFTfLEWEiaisplY1mF9PsPi9vl1WSzZOcd7/HJ0MFpxUzMe0NBogSI3mj0KCLygzuflSe/+auE5yh1VsmWqteIPzKjFsb+Z7pkurpHs2W79sxKRbtLJkcisu2eEZms7pQX7p2SsD8iVa2lEh7xasQmmSLpfm5MlQihVpTeyNFpGemcSViYx9iZX4yZdHPzPdpRJEQlqdGC2wTlwTlJfltCjosNGe2e0eeHS6eYVEdZ3mgc865IcGtweZYvXy4HDx6Uv/3bv1ULhk57LpcrYRPxz372syd9n0suhvbxDToVKc+o8rTUrYqByEvKY71ONQmZRFTpWvsHU5ehxV1RRaSKptSltRykYKd6Yfwdx+LahAMG7oGY/Y4JW2NOp+J0Jd0ZiwcFxo6DJWKXwMhT6jZIeCaCmq+gz6Ys/Tms6e0QFB3+HcxaRBVEiqqc8n9vvl0mOoPS9fCslFYXS4mjXEqSkPsgXBOrAGsOhQHpkH436dJ36g1Vytvf/OdSsSIibS//VMJzcP3Dv52R8IxLZoZD8s3/+po89c+/Umb6CypukOnQhJS6qmTQf0we/fJP5eraP5MGT7uMBwfkT657k6yqNNpqJhIWMxuduirjwdi7TngvECx5jZoe07VK1RkxkZjvYaJ3VnlfjfIP+64Jf8PzwwUG0M5kfWQ8RsmzvPGNb4z9fPbZZ8umTZtk5cqVaqVcffXVGTcRzyWRChcFpqdMlBHHYomgRNJdE/AN6yB+USvgWUPnPUeMm4Lztl9QbdAIVHtSTh7Oi4nNLkh90NILjZ0aIh4UFMAgkZpkBEFI2zlVMnBZnTbLYuLRdsKO74x0bK6W3hdrNZeDZwHTe6YtEqy1M8saJ7SJl9n2k52bhbe/ZkDzH8jWxH1LJlhm629qVq5ZPfcrGjQbmJoTzke+zlkvW6rjSwUwrmiiGdWgdB7rlN1Tj8pl3/qU1K1cIRXPuKXkiFNCZSJlWwLS2vCn4u12SskvpsT3wLSULRVtKZpM6J43ELUKeNYbbm7WFp2JhFoeKrwP/nFIZsdDsuS8all5RWLrPJmggDbe3KwV4iS4AcjSJD0boBkMhk2CKFg+eXtzqrVhUPFRm0RCP2Dcm/e85z2LvtbmdIg2rspAKfIqca/YAePxnkTnSESOhA9Och67FYoonqMl15qeTO/F6t7GR+bsjsOszfnTR38uDeduML70YeqAVp44z+DTL8hvrv0Leejx++XCiy5IeU44SXBTSqu9UrvcWKCp7pmEQtyghtUVWbsTZv7IfLLqLVhio66uLq3WbGlpkYUq+VgguQoKgBwBXCNwECtWE7/wcHVoWQCK33Z+dYyLhEbVhx8bVrcAABFrgqzI537RrX41u+a5r23VdhQsgud+cVyjIFhOG29pUeWBFcAuzjiwCgjBUgLw/F29WiFK7sKmP2lJ2dIikZgVs+Au2gB8S626X0RJ9j3Qr0xmzRsqNVKEYgMTOPCIYZGsuqJhTvuNTN8Vlhyp5ceOzajbEh2IeLb5xL3bL+Fql/gvL5ZItUscQyGp+YNHXlb9Bjn+R5+cc3YoaWQD/O3p73eqZYS7cN4b2lJai1hn8JoQ/iWUfs5rWm0rA+YH3QeoWKaIMZ2lCNY1NWS41dbaHvA4FDRYXj4Vkm1FMjk5KQcOnGisfPjwYdmxY4c2DecD3kHfX6I2YCR//dd/LatWrdJcEjuSS1Ym5h9kQbQFSJdLoXUyAz7FPAi7ng6Fwnj33t+v9Q4oDaIT1MokEibBc7/sVmAU3xyQj12RjM2dv+pWC4OdD5D25R9aKbt/36c5DBS+kd7N7REBgdAHpnwsl91392vuArkqO3/dowuZMOP2O7tUcZB+v+8PA4oNmKRMl757ua17JH2f5uf8rRGCDMvaa5tUQXU9O6oYAIoUvIk6lB0/Py4zUbZ76pjI/UhU7JhMUKA7/ue44k7jw0E5t+JacY07xL0nIEW/M7r9uWf84pwKy8wbK6T4rimJ7HZJsbNU+rb6lADprBsSk0uRtk6nQxYoJRHP/PexOURXVsH94TlqFLHYpf2Aq5aUKG9vpsIzo4czUSxccIiVNr91aaygL15QzqTUT40E1K1e84p6VfwArceI2syGpX5ZqW5C+ZrvthXJ1q1b5RWveEXs3ya+cdttt2mT8Z07d2pC2ujoqLS2tipvxD/8wz/YziXJidhoChbukKaQp1MkBllRULxwjIBzRDlJTqVonsGwXyM7kCBRQ5FMoCVg965oKVbMAMyBv2VhArKStGQcY3CeEK5mkSpeEjF6mEyP+nWykSMCltQ3OqEFefweAJFzcD4WdozIp8ipfjVZqLTdiHdR0hEbDe7yS+9xn4YdvTNleo+mGwXOAaeqeS+Ml7HjMjAmqCkh8rGlSMYMsiiIlGeLnFLiqhDXpEMcnpA4fBEJrvGKcyAkzt6giD8srp6gzFZGZCw4IA63IxZGTyTj3bO6m6N4AcTHuhmfP+H4sAC0dmaNUTFNVE6ftQ2hNgyFCEcO7xw2M+4tmSLh3qdG/Mq9glXG/EaRYH36J4LavQAFyBoD1zstiuTKK69MWdtyzz33yOkmNgIIRYFojUq6Y8vdmtbOsblcMxdhp2fnJ40a96LO0hM30XhxUQhBMrkAdyneI0LCeXBZWKCEfTFfSXtmgbIzomjIrGRSkU1KsaGnmDYKTi0qY0FjEfA950D5MFnJpKQMHsXCpF75ssqTlEg6YqM6T5ucV3GdlDjL5Y1vfqOshObP5VAglkZQWGFEPrimSVINoIloTx6bpNVk4HIudu/J4bCyrZVWhSXc5JZIhVPc+/0iYRH/RcUiXqcEV3rEvc8hdR6Dtd3alzheWKD0SCa8DhNeZUuxll8kEpQvVAVgJFoTE33WdgQXi9wRLDdC/JzTSlp90r3XebQUZOTItBZDmtXKkGJR0AkNA+c7ra7NqZJcTC5Q7kzbLXKc3bTnfAtKjxLwkbUzURau5JOYxUf6OC0csDxI1sKSQegM17ltRO+JhUpYm/J7hHwQTGqwE7AJuDSo4iU3BhyknY5/Todc+NZ29ekZB9EGJiGREgUMD0wp7eS6a+ZSCJiWyH83rpSzvMmf5XPBvfKFcb80bXmzYgUIEQ8UGBYISsXkZLngTW2xStv2i2oyToozhXs//0+XqFt28OCEbP/ve+SGslsltMIjs7eWi+tQQCKVTvGfbyxI381lMjsYlJ57D8qSK+B7Se56cP9YkYyPBXnu61uTjg8lc8k7OjShjPweWlMQjbO7Ftbf1KTvL+gPSePqipTRKtxV2qNieTIuE3hnA1l5WZ1Gbewmsy1aRfJSE8LDich8lcjHZ+R0mMqVSZCoF2+iNHYNHd5yMtCN8mQR49phDZkWBkVg7OYoLLOAi51LyaivPXncWCj+ybBQCYUSOb/ICEsGxS0OiYhLTtANRGRcOmcPSdUKml45Ywt+6XnVanbj3piCMk2lUDMRFhsJegNBj0yGTpTuB9d59WOVSJlTpteG5NDMs1K72hPbrcGKevdMqBsACK6Nt7xO7T/DJxNpPbtKP/HCewWnIv2ALojm+zXJrKhvMl1znpOpfDO1yhPlHTHPvPmp5Vy8iiTT6IqGNWGpyiNDWCoxeVF46SzCVGMECMX94G9wP1LtLGA9pM6Da7DYacidr471RERgoFfgbWWZWigoK/rikhqPi0XLg02vbk0arsXKeeE3vXLs0IxsKr9aQmJEWbqkTQ7LCkgBZJUckGbpFb94pNO5WV5WvVkT1tYsndXdGnMdkBhMS1O/37o06+Izq+CaPfvTLiVHGh6eks2Vr5KRFw8nPb50t0uqf+OXq2rfLnvunJJV7VOqSB/7z8Nq5eE6Nq4rlys+sDIvu7lvIihP//cxnQua93N9ozYMx3UhmsZ/cU8gkcomQka2NQlsVBtTtsGc5JloG05/SKvdTUWDsgQzIYVfOYqj75u5OjV8Iut80SsSHgzZeAhAXDplwktipyXRK9/FSYlk5OiUjHTOKgM9IUxrw6R4we+H7Aah3QXsXMkSg2hITUNrXm73zjFdeHRuy1XAI/bc068TCysAUhtIlDCDcQWgLsAMP/jHYa0KTVRUhxBpGu+bFZdXZGnxeplw7JdpmZUDslogQ+SzX9ZIrQxJr7TKqKNdAuH9MtkT0rAsLtqLv+uNWiPFGvKl0jaRtWVXKDkgHE60qtxZLB0lZ8ujH/yWdPv2nXQstI031d8uZa4qGQ30SWDEofeGu8d4wCRosE39EsRIJMLlKp3Pjuo7pXx/ZjSojHeUDOBWgqfgxlAiAUHVhpvtpU5AvcC42UxpBIZrA15E1IaERbNlbMfFRm+ckc5pDcuzedBJkneBK8tG0Xc0cd/mRalIkFilZsSVkDM1/thwnkmGUkkwQGsnwprpw9akwHMb9BEm3VmPT1HMx7EwxU8MOHKqP7IK+Qw8H5SsEuVAaBOkYtgYD2Mzw9DJrqku1ywhTQiWHNq3NyyumALxik9C6tgY34WU+sYhvjAT1rDiwiHj2ek4Svh9RIL5vMdgRDOFG8pq5bprr5N33Xiz1K472ZqgUnrXtyeVypGdOjTi1XszqTmxNLUtA0RM/nyNL6z/Ba8KltBWNGQUAfpD+ux558TqwTOyuvdARM+BpWeSFSlhFAmIkCAFDBJz1pLxc5REKeqJMif43ux2eEYoErSmWXeSSVYkBEhMzvls0G0Vdmy316F5AhAlpTx2eZkCnPSjbd5QkRI5J+mIJLCxHp/UtBXbboiUTHC/2P1I2yaUTBQBbAU/nHR/QFUmGCRAJpCb6J0su7RWLZuprpAM+juloqhXysQtrXJcumSpYiQdcliKxSeN0i+lkXqp87Zpc3Z2e0z65ZfUal7GwN5J3TVbN9orREsmuI0U0WFtsV6Wn9Mkl96yLGmFd1Fft+HqDUS06x8Jc2AinIcCNxQnlomdYrtUAqiMtYFrgyVA3hDANhYgbsnA3imNJvIO7ArdCSi8HO82igXNiBf8JvWjpZpjBf+suZYIkSOEgk1iLqxkIlcBZ2bkUYV2FAu8by84CTkD5A/YLfZKtyNS28OkalhZFstJIL8EF0P762yqSusaQl/w3NZdct2fXCmPL1mpYGtEHDIulapIKmQ8ZkA+5QvKLX398uu7fyGXXnVh7FmQaIV7Q7Uv7lu+hMgKeA/XYOGmwjbYtcFrKHokIa5pnYErQANw9KkR/T2h81wBYKuQ64OSAhAH5DY3FTKXwSxQALm0s+AdmxSZiz5FviAnCy/WkSF0Y6Dsub0mfG4SrNjx2KlM7tVEZfzgOyvismrNxT52fFZKsGbOrY4pQc3x6HNruX7s/iQiVWLgQFbxOSql2u2QmYFQLKENF4KGYbhRKC1r9CJXwYqNj3RwXSwxcmuoQCa7lufC/WAlxYvRCTGgfKgo3WxkdgIekFGlKQBDAzhXcUTnQpxRilJPlmwWL7wbEt6wJub0ozaJmxLgAPNRErJoFInp51l3cSXjDUROqtzlWE1J9hq+fj7HwA4FiAWSbhZfAe6S3Yhrw26Wz6rKXAWrA5IgbUtZ7JJNt7bYBmypkdn2485Y/xRIgaD+i5fd/uRm8LijRXbIRXJeRUQO/35G9tb0y9prG2Xrjzvl8KNDBhZU4ZaLbmuf1z7G+x8alKe+dzSapi/Sv39Krvnr1QnzjqhXgZRo+OiU4gkArVd+aJWtlg9BX1ie/t4xtYyQqieG5GXvXaHKg++JyDFfcG2owcmmfqlv93iMs1X79gbDcnwnnQCN3ji4Y2wcRGH6dk9GXZsTLg+WG6As7jkWVzaQwKJQJGhW/6RBu2clgAYkQ9ujMKy8q1RmEuXR8v08kBSfOK/xwM3QsvkiMO+JXgDIkRmaj/BlvgQCIZ4F+MrwEdo5jNpWJEQXAtHUebI5iQiQ2Ga+B5PY6G39idnKkHPKm2RNqUif/7AUl3vl2DOjmpjVs2tcyhqNOh/wAhbcfCoSjWaEIxoSJaGPLF7IshMph4H9U9rTlwQwFj7jw5Kxo0jGumf0PDQZB8QG8+I8WBAoEXAY3Knu58dk7bUNGRGZm8J7hSQJRURdEvVXKBIl1YKxr8yt0Rg2N22/OeDXCA0lAIMHCfV61TIhTDzeO6PgLso8U2to0SkSrDMo+s2fTSHuDbdoPEELDxYNnG/LgGsRXcAK4mdTsERQIto/+BSWeGciRWUubX9A5qiGxFOQIyUTQu4g+MqXOklKeNGc92AlNkomPU/NyvFHqe8pEpev1GjATbSm2KXgM4uMnZTan/kUmm8RLcMi4V60xYNGjE4WBew9TuM4j4E1ZFJ2YRXuj7+hhioYJRbieoST+ZnaImpjSKM3SbEyFcYGoRWlEmBuZi9fLArGzjUhVjLPyz3wOyJPVC2b7o2L8pDoeLKdv4tCkXDDiSwLbr646uQEsKJyLJHMeS8yFTR8w8pydXGszGGg3iWVbn0JqVjMTodAgjPWO6v4BlEgktrsCunW/D2WF8xaZ9/SetIzj28KHi8zKwPyrKtL6SdLGjyy8ZZmfadQEsDDqjQC6ytl9SuSEx7lQzbc1KxRESxLFtvGVzYnBXhbNlTIisvr5MgTw2qFtp1fpVEmO1LRXKTJZnvvG9BapxWX1soSslwdoljU8V1jGimh41+mZR2maNRrS53mm6CsyAFBAJWx9gDOqQw3LWSK/sDFUCRms3CEkDdhcjZeu6UIphSiNi8BQfGB48Q3M7cjBqu7XxVlJu5ioharjAPcAauAYkFTSI4yU+TTkVXjlnAsO6rVlzcbtnPudBsIFhAd77gXQvfmGDm3liOQRxP9jjFT8EiOBcWU2aYUTI/AAxJRpWEdH+9FC0zzxJ2abylEbearxUQ04SwTa0dL+2fCMT7VVMIEJuzHQrdGLrACzL42yfrFphJMeDI8IShm58VCSbVYybo9/MSQTu41r2jQBlzgI7SSxLcn4qCFdjVe9bd3/bpHFQEUgrRlwDw++MiQEi+ReAaW0nFRrS6YbT8xmOHZDSkwNDNm2TEzwZV4Do//52HNDkYJkNbPDsuYn/ruUeVPrVtWIpe9d0XKamF27JK42hewBMBPFB33fPGfdcSiOXYItJNJomxnnidtSlHMyy6uUZyP+dW3d1KZ/LEgwFCyibAArKJwiVzZ6SSQrSxqRcJDZ5Ljb1p3ChYl9QQG2W12mp4aA9N3NQEwdj2IhCARAtRKFZZFiZCPQboyE4LkqGTKhPs4tnVYBg8aNAKAoQB6AHUkfBEaLap0y1nXNdlWJqS+v/jbXs1mBMnnWslS0Nmln/35cTXBUUBEZy6/fYWyrjEOb4VLy/L53YVvbldyJELLLGquwQJlAXMOwjDs5tvu7FKgj9RvyIJYnDyXp+44Ktf97VpbFhK1M0e3jmrCFQDh498+Itd9Yq08/u3DSn6kfXF3jMnWHx6TV3wktatlFd7rk985KoOHp1RhQ96E9UZ0Zb5krHtWm6fDFWJaaue/oU2VCARQIV9I3IpjtCTtHJBMmP+UOlCvQ3SxfXP1vCuThWlPZSiYigBh8fF9lAvRnGzSi2Pm81hQAUqzSZN5Xsx7UHHM6FSCJYISQZgkqZpu8+IJ1eGf4ouTqIRA5oMSAdvwjQfVPLYrJkEP7TuZTEQKkglJULCdo8TIasQCmB6CHGlGCZ+0E16NR/GFmTG/jhMLRUOO4YgqHiYviogwIueYHQ0oGzwKGL4R5RppKtZnw7uzI7gYxeUu9fuxrhirtuwYCaiy0pL5So8SIdkR5gphffoPoeiyOYddYU4wj8g8xUJDsRCF5HuUCBGy4ExI34FdIUw/OWRQCHA+u8/5JadIQKGxFuJbAWCJUIJtFwU3BbeFl6AmtyXlHXCO3iJMtnRtGnBnsERIPGPxpNoR8MkBvLSHK532mg2znOuURBmxiqs9tqtAEU1+orfuQSqOQykJe8Ao2NUxuYcPQ4pjLCwKy0jIoj8PixbTXxdzc7EysGHJOF1OXdx8R40HBV9DB6eUSIfvoCIkaoRiw5qoaCmyHUHCxaB2hMVFrxjGCuMazwXrzWAjC2imrh1BcUAORVEbipBz1K/MXwZrIjGfLRSUKGQAe3ASvscSIaxLxMUKimYqJlmXiTtlE6mbd7A1Xe9fTvfpT39avvWtbynd4mWXXaYUjOlQ/cUCtiYCEZMJJiuLFyWSDlPRlp39PlV+uFPm+Vl4JkaSTfo4Y4CAh8UOKRFRh1SAYe+L45p4xTGQ8FBrg8W078F+xSaoN4EsicXHLkr1LuNbcl6VrL2qQZMDjzw5IvsfGjBaWlzXqJmwcOPu+J9uPT+K5bzXL7FNKIV1+OR/HVHzn6zUi97eoTVCnPNJMJLRgOaHbPmLZTFWsEyF5/PMDzv1edOo/MK3tGcdwbDT2bB/z4RuOtTYGPVkBoEUzxSlYidnJd5dwxLB/c4FyM10PdpWJL///e/lscceU3p/GmHFK5IvfvGL2vQK3laaZH3qU5+SXbt2yYsvvijFxcWLXpEsRtGEPppmgRlZcBpcNVLUi6vcaRWjclMMBTQqki9OlGwE96Zv74QqVoBW7of769oxqq5Z4+pytZiyEawawtBYB+nAX8WQBnyGlVqzcBIQF03UJlXvX3TSv/7rv8onP/lJefWrX63fff/735empib51a9+Nad51umQZBEXLW5yObLOOzFDkiSpWQFYg4Q6OCdkyrHseuA71nCnGZIkQap+eZmCkBwLMMnOTxIYeQJ2x0i05Pnf9Cg2gqu18ZW0kvDqYoSUCHyp5axKzetIZqmwYLb+qFPdGIoHz/vTJbrzn2ohK/ePXz0UI5HC2rn4z9tl6w86lTYSy4lGZS977/KU7SESCWDw9p906fPiOV36F8uStnzgnQI0g89oLsotzRqZOh0CvqN9hT1w/RrzJpMwNG0q8pk8mVeMhNYUvb29cs0118S+Q5tdfPHF2rIzkdD3F61n/SD55hLhfExAQDUiKqbgt5MZCCiVbUoN6fEszIGDU2rCm6Yl6dA9L0wYhMzRa6JEup4b0wgKE9EcGwRG3TvHpXPrqOILCCDn0aeGZayL/44oYJkNgQ7hURYe/jil64yFcC7PAj6SI08PS8+LxnNPJLSz4B4gD2b8LNrTITRUx32pW0lmrEv2PzigERZIgVDUuAG+8YA89z/HbZ0XawuWNhj0aztKFCt58fe9SY8/tm1EnylWC5beC7/ri733UynMV7oiHt85Ll3bx9RaSyVsVqT497wwltVcOmWKBCWCYIFYhX+bv4sX3CCUjfmhXed8KZJQyCBuMclbYgV+kPoQnInkRqKD8oiRyICPEDWCOEa/n3sstRtmJMcIY4eVp4NBgN6bx/LRtG4dYxYkN9Ex4O9jdeHOMDb+Szq65i5okWPym8dqYbwczw6cLmI1XwJju6vISFXHktOKXIh7tBezkUQGHmB3fPqc/dF8H7eRHOaLMvIlPN4f0UUM4I6bF/JDCnXq8zpJiw8QJvZCTmXcQyphA8FqQ3Bpz6ioDb1/8b/MT2dnpzGwPPOtcj4iDWW1cxt6E/GB2h9zP1vXhtyJ2vYSTbAy8QMWHCRBGrFYcaLrO+5MXUep/k39ivLY2OgkV1xmNIciSmJGXIge+GdDGrEwyZjtCPkrcH9S0FVS7VaOEVKxOy6s0RA1ACqRHNpWJBN4OEqqjAgDSshumni+hGQ6Fiy5LOyojWvKpOOiGqVGIIWfpDIUcioG+ESCQlh6QY1SHmJ5oXiXpbhH3hXvFYuTfKO2c6sUZzrVwsbQfFalFFW6pKatJGn/YVMg3QI/qm4tiZEZLcjev4cOHdKG4c8++6yce+65seNe/vKX67+/8pWvpD3nSxlsZZGCeVoVGt9hNmO6Z1uEiNs2oQlbBnenaQWhRLBMUIDpCI2JMLBYOQfM7KejIyHPAi5VsmNxK8iwZQPA7yd6ZIKtYCd2NyJ280NPDGnuDouMWpVU9whuBS8smFirhZTotM0bZ24tXBZUijxRGlp1PvDAAzFFwkCeeuoped/73pfPS52Rkmgy8B2TNJ78BuViuj3WuhCAUfJrrDkn/D3mrzWvBmWVKGMSgFiJgF0OBRvNBQKQxydbYb8iLAy3B1EOeuVgtZGzgXLQ0O3qcrUmGBu+/KFHB/VvV1xeH6OZ5HcG/4xWvce+M+8xViUejfAcfnxIlSZgaKp+uTxftxcO29Aci5XnAQbBObBEzGgO1mKMoOg0y0Lgv8lr79/29nb58Ic/LP/4j/+oeSNm+JfWndYQ8UISJjiAa7I0e3zxdLuNtqMYYQG70rajSCbU2WhrgmKXVp1igYCJkOLO7+jk1n5htY4REBYAFDMeSkDMe/xlGoADmtKqlMVHs2lyU3b9qlvGo135zn5Vc1K6QJ4D9TD9eyZ1YbVvrlGm93xUUe//w6A884NjMT8eQPmSP+/QKAyAMNfgGHz3upVl8od/PSBT0Qxf0uKv/fgaBai3/ajLwLuCESUluvqvVsmjXzukPCMkxZGGD5ay/OJaefgrB2Ska1YVDkrsqo+tTpqQt+t/e2X3PX1GZXeJSy58y1INLz/9g2MKgoOf1a0olUvftTzvzaVyETYO5g3UBLg5JjWmmVxXVu+R6iWpk+uYZ9AZEHVkjljbURCgOOW9f++44w5tGj41NSXvfve7NSHtZS97mdx9990Z5ZCcDiGdm+gFuIE2EY8+RNwBQmvs7Ol6znIs4VXlgSgut02NiDJjMtAZLRwwMlrrV7h1kkC8A1XCwKFJxU7AUGDE4gXzPWY+lgWAIz+XVHg0PNm1fUQVEuY3iqdhTYUM7qdIbCKpIiFzFb9fSX+nQ8qutvLyetvtMhMJ0SIUbOOaCnVFWJyMheQysB+wJSyII08NK1hKCr1pQeCCQXh05PFhtbaq20r1GHAfohWcR/sYl7v1Xg8/NqSLHdLspjVlinmgdHpeGE+oSFBuR58ejvVIxiJDMREGRqlq1qnXpdnBcKzOJ/GSXWHeGL2fCekaGAgbwuDhScXAoIkEG0w1J4nmaAgZPhJIwqK1ZZQ2DHemjgTNW+9fJsvnPvc5/SwGwUzWdgMQFVk2Xi3t9hhENOmEGL7TNK0zOP6kMShhjkuBRHx7s7GzmutFTjX/tSF69HtPiVsjUOQ84NoYrk9Ej6VXDhYSWbDKzQrdpMOhikfbYKQgc+bv9RyjAQ2FEsXIV3k7i1QjRkGj3B9LjwnLPTHxAb0ZN/81ugpG2yTo8zHad5AyjhVmWpE896Lo/RNZ4hqM28zmxKoK+MLixGWEeCrJvTAHGA8k24xRiX+i4+D5wYnqLjJyjexyhsy3KNFWMBIj80J0nF6X+CZC4qo0SItSSYwIjHlscZOYczz3M776Nx/CBCJqw2SyuiRkTupE96ZXDOV1ReItduuLyHaiYT1gibCwzNRxUuXpe0sxHOnS7JAIHJxmtip+uxkpWnVlvbpCvHwzcgF7Ombu8JEZWXJOpbbHTCaArmAXpMizaCFBypcZDzCK1UYjchb62a9uUVcBmgGqXbE6SLqD4Aer4PCTw9L3osG4Rho87SFQjlgcgwemNdwLbUHrpkpZf2OT7PrfHj0HtSlwn2Kl0dOYPAsUD25eMopJFs/Zt7bI9ju7ZKLXp7wj8MliKdH/GHeJZ80zbV536hPxUgnuDJYIisAsoUD5Ea1DAVJnk24zIDXAZBS0bjTMuVrJDBcrEBu9RIRdNlNSHiwdig3zyXeLUD+CIiA71nSvmH5awTsWUDDXbL8AyIlrhZVo9tyJcaAenNJz8D3KX13DvZNqddUuK4uBoFg4/fsmFD8iRJyulJ7xMQ42FivTHa4ru74WYZ6GaNXplAKx0SITsy2pK86qSURQw7FYKSS8AcKm23EgIKKGhNAtGEG6xZArXWT3rjE59NiwuhSrrmyIRYewuOKL6cBFdv6qR4l8aLR97uuWqLUBGdOee40MWu4fy4DnQ1YteIlWYEezWaE1wCIhQ5mmYzT35nnxXBI1704micZHJi/ZxXQEbL+gOlbHA44ysH9CaT2Xnl+tO7lJSgQGRO6OWXCHEgdbASCmCtrEIIi8EUZmnFg/Jj6HItcm4lVzexmBfQGM8n3W5RxJeirl2qJiUSsSI5sP/zD/CWzsiLxo7dp3ChimSLCCJEgn/8ZKzThFieBmAAYD+BJFYSzDRwAlR/T3TGxM7mQhQCwAOsgpwXKpS92B+ayTwX3Z9mPaXwR0wrJQrvjgioQUCIwfZjM4VMF69tzXr5gHXeAgRDLvCJeDhQnT+r4HBpQThfDwE985Itf+zRqt/AWUxkTn90RdYGDLVcBhdvz8uCbAsXChRbjknR0650jXV36YiGGxnP2qVu3VTGo95NIoMnXflpcp41zn9jEJh43G8Rvp5eugkfuQDB+eUktx+aW16qagRA49NigTg36pbCzSd4syYQ7gpoHhAEJn03URJUQ9F5GxqraSmNvKOXF/2cRwK821hOJi/iyKzNZcBHOTxZ4tgVEqwb+cGqatxampoYCjAyAS85xFr2OYCGrkBrzG4MkwxsLOS2i6tM6jf8eETyZEPzgfVgGRGJNsad7uo9+nYC27cf2KUpmMJsMlEoh9tGVoq8FjwoLCQpnomVXQlExNPuATWAYoUMBFoki0GeXZ6PH9PsUHIEwCcAWHyYcwPs5dQ+bvmnJdzIyX66JEWMxYecNHptUaMd5hREmJWIQcx2YHSRIcLWBfYDAoWX7P8YprOIxwLcK7IrGupq3UeJbRuQAPDFE9wHzcu2wQCeaJ6b5B0GUKlh73w/0CZpsCyG897oy1SHioRsZn/s+tiV7gBPPcHsEU/O/ZCXrxuGI9epSgpqFIJxQgoklQw7GY1tODkAyVpozEkNfCvRi5BuS5zG/JO4Q6pIvTVwWLBCIos59svGBB4EoQdmZ3ZENgAZU3Gc3HzN3Q6MBXrNwoJIexQFFWhMJRNFhrWA1gIiwKWn/mQ1ASnJvxYfWj0LkXxkm6uRZjkuy2uUYtFsofaEuipERlLrXCcBcIH5MrA60iQC7uEOfjPcKlq2RW0V4yPDueCe5oBe88Ohd4VpB1EYWisDAbN4TnyD1wDmuPaiJU3Ct5ONYoDdcurspsvhTA1gUivAbtn+I2epLMoY2Mou/m9xzLzsaEhtkrXaSIHZOcACYLlsJ8A4b00D346KAuqtVXNWpkKZngzm3/SadynZBqDkUB97nn3n5NEGOstHMgikKB3jM/PCa9L07owtr81qWal0Jy27YfdepOTrTigje32Wo0lUpwzXBNcAto6Wm6hQDEKBIsjfYLa3TDUdqHFyc0rwMLy8SGUHAcT+Elro7pUvC+TYwEZWPiHlgsUH1ynBWv4nvcKt5jLpQXfOKhgGSEXfNGbDTf8lJVJC9lUVMfHpCGojlZxInatLIoR7uhWfTMocHU9q3ByIJrULbYpRC1OUMEfxaSY7JYzZ2MBYbpy6KiktPctcBXjO72TvXTAWZZYOySgKCQGxMyTQVMs8uS5alUiy+rs02HaFfINt3xP8fV2iCv5MI3L42Z8/EAMv79098/prgIlsB5r2/TnBrEaIx+6kKz8JGQsg/l48rL67NiSQOXIKOUTncmmRUCFqMWSdT1Q3iP4Ftmb5xs++swZ+iCgNWXT8u0oEgWsODWEEqlIpUdGBOaCYASgYeVcCJhYJB97EoUACxm/MzuTGk8CuTw48PYnkYyWLk7adQGcG3fH/p1UWPKE7Yk+jFfRWGAy4Rtp+EnbSzSqARRjWTtMohm9L4wLtUdJTLZ59PICW5TtosqW8EdIUmNkI3RBNypCXd2xKijGtHuAeZ6blpTodYZjcHZQMiVgc4ArAyQlx7M/B24WNO6yqyUCFEbOEwIN+eTIrJgBy5gYdIQvSCvQlO3o8RGTAiUCGFOkHgsFCOCRdjRSOs3W3TosYGwAn/hwAlim0SihYqz4RhAC3BpZZPL+/0FjVR3QuyKaTgMEqVkwnjIQIZgiTCxcs7OQ8QunRC25toA4ICTvizaPSi51EzYwFYioiFjBOXNucHEeDbmO1fFHgir0uHvshEsEZSIOSfyKQVFsoCFnQhwjkbg+t+oC0O4FCIb0HZcGLMmp2l9ubotkDeZVgc7D5ECzGiiHqkIbYjoENIk7B30RzSlfj5rS3C92s6rUkuIjnOY8eRSJJOWs6tUwVGciJUGO326tiDzITx/cjlGjxvFnkui7pXde29cV64VtzDz824Qoin1y0t1MwAYN91Z3BmygctIW492KLR9zRKXzgclt7bgS/mQAti6iFuHsqvFg4vk1cQXl7H7EPkxsz1TCRbIWM9stE/N/KeEcz264zE+TPZ0DPBw4xKFQqnC8naq3Zr4Fqvav6g+++poo1Ok4yTcine7EHhGCmDrGSSJFrOS+SQIASYC0VA2mfZ5YUKzCyqrvuU8mNxUx1rD0HaFyAw5MVgVZk0N1wP7yVTIcMWNYxynS4kgGrLNQ76KJ0nW9EJQInbkjFQkyeoJkgmLxGDdmktxyE4ONYA1Zo9/zLmtHetT7TZkk2J+mxYCYyNLkfObVZfmsQCnVBCzWMxrsvBA62FwN5OWNC/hwKTBer6sLKYk2CGJ0DC21o1VWdXMdG6HIX1ck/yWX1qnLhLZvbvv7ZPRrllNaFp3faPtXZiIEg2ySDJDkWx8ZbPmgNgREtG2/bhTx+Etd8mGm5ptKaHFIJFIxGgcP+g3MnjnOWqWSkyaz0WNkeTCIq9dxiaMAqd0ouxmo35Fy60CIczUgF/ZtuY0RRr0a3JXOhZuJsR4j08jJSSPmUJEhExJvidxyRTQe0x26k7MtGiUC8REpEQrsXEUiGRBkYRF2jg1Jub1zGQoitiI7NgVQENlA1MXKSRd20ejKd7T2v0NhTXaNa2EQnZF24AehWi6RN8NTa7tCvU11CTVry5T5nsK+8408U+G9FmzqUDGdKpKNBIJa4KNbFErEivJkO0/dRi8npm49xyDJUIW5pzv4QaNI3rhOz1Wm2mlH4PLAw+oQRgT+94lhk8MmYyFBMnlNgh2IJMxyZEYE//WTETPiQZe5hhocUFDLfN6WCKY/Ty7bAiWlCELkiDql3zhmNWF+8HYzOiE9X4yFSVYcjq0GTrRmmwKIU3rDUWEIqfu5kwTp74Dh+aLuJl/WbzHfAlzPFOrPu9g62c+8xn57Gc/O+e7tWvXyp49e04p2GqnLFqtHwjSLMerewTglQAE4/hMMijNPiKwn1lfCAuV8xDGNJUD/6Z+RBujRxOyTpSUGynypqtiduszaASKYlwdHIu14zK7rmWBIWB90NEOBQgXLFgG9wHREDslNS+rLjcqUu0I1hUUANTE4B6tv6kp5qplKjw3ckewznhGWl2bAyH1QpXpEb/BfmdJQjxtbtbQmNQ21Jz6FHkUyc9//nO5//77Y9+53W6pr6/P6O8LUZuFKyiwXIigTc4Vci+ypX0wFS6406mgd3ipy/jpjNqgOGhLUZD8WFFYBJkuvETh32RC/gZl4+SdmOfnWvjFnCOeESxTJYL1Ad6DaWy1jDhXfANys78OWEDVkpIY0TT/5nukYXVZzOpiXJlGoOwK2BNhaK20jlqFZoEkVb6UGJjPCbwMABlrsyQDq8FMHMykAbvJswPNZ7yVDP9JPlj98y3zokj279+vLShgjt+yZYu25aRVRS6iVYuRuT6bWaiVawNwXATwCKsroBmGvpBmj1oXMTgBBDXFlIKnuSbmKWTMpDqncwWMSlCDiZ5kM/Oaym426JfyOq+WzKdy10D7qTLF7YKrlahQMiHCA2kSioeOf9oQyulQtwZWdq6/9IIqabaZis3z3P/QoCaNoUjo7Lf6FQ1Jj6dehR6+vAMU16ZXt+q490QbYSFNRyq0+fl8hkR59vv+MKA1LhXNRbLu2kbNtuVZAAzj5javr9D+ONwj39E0DCLuZRfXxBqPJRJqhCh1APegO2BtR3J3jDmN+wdoXlZfpMmEvHPmI8oZHhrCzlb3N9kmQdIeJFDpFB0KjuPB77hnc45xzZnxzPhI8o5W0TCcthS0oPj617+ufW8uv/xymZgwJkWmTcTjRfvnBgwGcVN4uYRjc0mT5uWy4ONTs/0zQS2Ws6aUG4ldAZkdzYxMSclihv2af5FO9MUP8fHHxsI9U2PhJ/9iwJe2vyzkOIyXSYj5n0qY3NMUA1Z6tJrWZE8ntAoW43BEtHm5XcF1GTs+I+WNXp3A1Hak6klLhAnEW4mDIA0a9Kk1Qg0L/B58ON98N+lGWStv7IpSJY7iXSA8A4Bmb4VbC+y4FyJaYz2EsT06RyYHU0c2eBeQBmmyX3fqYwGReddcg8iN+eyIHkISNT0a1HOlE97v1IhP50I69EL714wa8zps6QHtnw3KzHD6a82LIrnxxhvl9a9/vWzatEmuv/56+d3vfqf9bX7605/aaiJ+0kCj0Yw5pnaUdj+X0nGASbIT4/1tT7HRYNt6biVSKnfpQsvkmtSDUB1K3kTaY8vdSmoDwOaJuiVER+jXq4RENekZ7WGd55lwvXQ5JFynqNStk5L0a1whrsfCZVcOBelTbL8XkWZ6QsbUa0xiwNlUUR74VFDQRm9ijxaSeaPnQDGSZcvPWIbzKcr9UepSfhTGYPbyxUpiMc+OBpRwiXtRgqBoq1CwmtI06ea8C/N94DalS3Qrq/Eq2K3vPDrPeCY8n+IKV0bzifHTr7nE0okx6TXpZVPu1jlofVeeImqaPAsnRX7z5s1yzTXXqNJIZJHwMQWLBGVypoCtdqJH7Fgadra4TPy9Rn7iEuOSXQsfHxcgE18cTIBzM7lNTIV/Y+ZzLRjIsnEnsPBImOMcVnwjkaBEcB/I29FaoGi2KLt47x7DOsW9SuWm5UtwI3l+4DRm5i3vBCsNjKR6SXHsOZkJhGAkFRk0EMPixA3nPtK9R1wNrAQ2tzl9oINhTYbMNBqXKzi+oIiNaPEJPkI05y//8i/THl+I2hSkIAtHTlvU5q/+6q/klltukY6ODunu7pZPf/rT4nK55E1vepOcKZIrdb+dXJR8CPiCWbSXiaUyXwLuoSnyVW5pXF1hJNUFw9K7Z0IT1bBGsIKyeZ5YQOAVRH6ocDXvm5wTsDSY6c17Bz8A4/CWuLU9RzZWF1EYLDpckXJLdMtgewupS3uq+H6xIuM7KWggIhBNZIzPj7JRPpKpnZH3O+3q6lKlMTQ0JA0NDdr798knn9SfcxEz3T3TRDD4McFPMjEjA4RMtT2hK73rMBatk6GwLYtcCMZGOjz3Ax6R7yZUCV2HFyd00uP7Lzm36rTkX4AnHHp8yGi+Rcau16UkRjS7OvLEsEbkRrpmtPOe3SQsohmQN6Ew+BliJFyI4zvGDfcoYrhKq17eoC4J/YUBdsks1hB1morjRPOg+/lxBWLJ/l16frXiSSguSgwouaDJFjQH811YyPPUVhJehypRc33wvGdGg4qREP3RcYcjCgyb/DTp5gHulbWMI5XkfRbfeeedMh+i2acoxwzmGBoXfzTiTu8jauSHdGQJi6RTJGEeLmFoSvjZAezeRVRxRcllNJ19noVrsHsyoYkGMYlOhyIhGkEkgt2biW/WDWl+RTCioCytDyhEFJuKxCR9otiRRcy/S4Rm6gG1GNh9yQ428jPCWkhZWu2O9vq1H/FjzhBZQolwX8EYKZHxrMFRuFc2s/lWJFzDNx0UT9gV5ayNfu8LR8disVLCxv0zhzOZexyTKuK2KKt/7bwQRdZd7ozMN6P7+olU9ZTndRFF8eiEzLa5NpMMcC4SOjWtLogw1HSU6uIFVCUt/3QIESX63FB0BzGQ6X5AsjN8tFgjRbgf2SSbcS4+KBGsHPMcRn+ZkL4vCJM0Ia7C6M5H0WN1a3GsvacdwRKlKhp3SnsyNxg7PtEU3DN2fc6bLd2CHWHu4g7SfQDFZkppbZHmuFjrkZT0CqY82PVK04/NiBYW2lEUJI+4Tj7ETHxiElszb9k5+RCSzjbpDKvAoG2cu4FgOTDDrdiQmapPJCwXi0GjbHG8LQvlWedLCsRGBZkjC2Fis8AT7XDsfLnu3liIiazERFZfolT9bCQZRuZYAM/6VMtLSpEkawLETgnolu8JkIocid9l0hKAY/G343dxsjDZEa1Jc2b9B7skFbaxhktkzY4Y7GbpOu2xg+N+sOgx01O5cJpIdmBKc0AgWMoknyJTASzsfTGaR7K+MqWJzTjgKiEaQ20PkRgzgtK/Z0LCYVEu2lS5KOAHVE6TVg6HqrbSTAtyzoi71KUtQcxnzRi4LuM1QWMD5PTr+4IQKp+4iWldkSx5OosYF6wimQ+PC9OX07IozQXMy2WhgqsQDsynaDr9eMBotxhtfcik13R3wMFGetWmvqZmiI74NXuyJtqqkeiANoOmr83SEgUZEXxziJGIRqBcmMjcHyFQohbUUVjZ2hIJSgT8AFoFJQtOEY4lEtS/b0KVDszm1kzMXKV//6QmgjELWHgdm2uTHkuRYd9eaowc0vPiuOIxWBw8i6GjtNs0+FtSsanxfPr3Tuqi13dWk7p5/ODhqWhxo2jWLdiDElEdmlRlDAsenQOxWlD6ZMzC4s79oHjySYQEpQTzl/OeLvrJM48ZJpUo50j8d8aX82GNKjEMO5Uj7nJikiOlv6jDbRAhUVBlKj/Nfo3+vZVgKUa8BBGR+b0SLEFQZJAqpbOAFF/g/+POnXBsLFCnQcKj5Qt5rEoFPDSqXSnKTD0QxsCCJsLAOEyMRImjOIW2qEw9NvPZoeDjSzESj884t/GsHcY5lATKIZGI8b7MSaXndkefaZ7nmVrS0bGne1/zKQWwdR7BsWRJQVgJhI8zifxwLLs96LvVJ1dypKBRlm4lRyLPhclsrQ7FEiP8iSWWDhtQdvR+WOSpuylOCX6yQEkyw6LDFcgnCQ+7OjSTrDwiMaksN8ZBJS5Jd7glZo2QSWfA73F30uXssLNThU3UJ120gnPjxmhtTJ039n5xeSiwI4JjXs/IPzLIrLBO813FjPurZODzkOC4YFLk7UohalOQgiy+9fjScm0KcpLY2Ucw+zM93uwMd7rFzjg0YW0BjHkxyoIFW+cj4qLd7fG548J22gox6memE/xwIyHNNZccyWecI9tENTsSayjtDyuwmE03PFwmUtJxIarbStO6JSNdBhs+JE11K8pS4iFEjmCNBycgWpKOhGe+BJCThlpgGY2ry1NGrJgbuFIzY0GlNjA73+VDwvCQ9PokQllES3Ha6IpJiKXUBmlcUcZNBq/T6cyq/chLTpGYPWhdnrkLGCWgYGQGbNv4kojHUqpvYBCZRW24Hv6vWZ5tDbuS3g1i7vKe8JfnS5S8KEqARBl7NooEXIOoAxiOp9iXUpFopKkXsp2gKi/S2VNNcKJSLGKe01SD/7QpEiWWGgroRkNEK5UiIW0eQiODWBuelOK8YQ7+aIEfcw2CpHSKZGrYp3UyjCUtpqVYjUEaTmbrqSoEXbSKJBFyr4vZRrTAfMjW45UcCVKfDNYif0dIVNspWhQXFg5goBEdmf9kJK5TVOHSVhTZtmRgMqM8gjNhzShNJdwrlghKhMrddFYX52VcPK/TWW2s1c4VLl2Q6ZQZi5CQL2Fg6nDy2QbCU+TS4jnA8UxyPbAsqOvK5NmxedE4nijXaW1dUQBbF6fkgwjYiB7NddOSXi9M1zWjCCyTXY+krHxlkOYiuAkRocVneqsIy0v75ZTObR+SDwkncavnk5QoH1JIkT/DRS2fHOcZkzrTCma71kUmC/dUiB3cAAU5X66BUxVT5i9sISgRO1KI2iwgSWYc6m6W4NhE39sRo4FXKLOxgQ/BoB/Fqqx4je76ObRYTSaakzERPLmvzRjl/5mNOx+iBYEJrsd38c8jXbnESd8rfWJmz05JiRLMkYXgVCw4i8R8KPFs8uaiycXk1BcZyYySQBeZ1snEdcmbCeo5MqmTsTs2yuDxdZXX05LgNDMRUHLeWK+VcEQmBmY1o7QcgposCt64Hn18Az6DxyNdAtZw57RMD/nU0qCuhmfCAhs8NCGB6bBUUpLfkr/Ubwh1SDdHaJdB7RAydHhSxvv8UlTmksY15VkBzXbELEeAs7Wm7UQbCCJT432z4ilySvXS0pSWDM8aEutICDKr4liiGuemBsftdUhF44nG8UkjdcPU60SUHNqcw2ZnA94HWJc5b9ggZieDShuRSw2OuQ7TKasFp0jMthXJ2OQLUpCCnJ51CVayaMBWmk/B9VpRUZH1jm8y0Xd2dp6xgG3hHs8MGV/g96idBicmtOEduSqLxiJhsG1tbXk5Fy9mIb6cfErhHs8MqVzA95jKEjGlALYWpCAFyVkKiqQgBSlIznJGKpKioiLtp8N/z1Qp3OOZIUVnyD0uOLC1IAUpyOKTM9IiKUhBCnJqpaBIClKQguQsBUVSkIIUJGcpKJKCFKQgL21F8vnPf142b96sWbCNjY1y6623yt69e+ccMzs7K7fffrvU1dVJeXm5vPa1r5W+vj5ZLPL1r39dNm3aFEtY2rJli/z+978/Y+4vXr7whS9oRvOHP/zhM+YeP/OZz+g9WT/r1q07Y+5v0SuShx9+WF/Ak08+Kffdd58EAgG57rrrZGpqKnbMRz7yEbnrrrvkZz/7mR5P+v1rXvMaWSxCli+La9u2bbJ161a56qqr5NWvfrW88MILZ8T9WeWZZ56Rb37zm6o4rXIm3OOGDRukp6cn9nn00UfPqPsjl/6Mkf7+fkLZkYcfflj/PTo6GvF4PJGf/exnsWN2796txzzxxBORxSo1NTWRb3/722fU/U1MTERWr14due+++yIvf/nLIx/60If0+zPhHj/96U9HzjnnnIS/OxPuD1nUFkm8wOKE1NYaXdnYxbFSrrnmmtgxmJTt7e3yxBNPyGKTUCgkd955p1pcuDhn0v1hWd58881z7gU5U+5x//79Wvi2YsUKectb3iLHjh07o+5vwRXt5VI1jF992WWXycaNG/W73t5e8Xq9Ul1dPefYpqYm/d1ikV27dqniwJfGh/7lL38p69evlx07dpwR94dy3L59u7o28XImvMOLL75Y7rjjDlm7dq26NZ/97Gfl8ssvl+eff/6MuL8zSpGwo/FirL7nmSJMQJQGFtfPf/5zue2229SXPhOE8vkPfehDinEVF6du3L1Y5cYbb4z9DP6DYuno6JCf/vSnUlKSPzKo0ylnhGvzgQ98QH7zm9/IH/7whzkUBM3NzeL3+2V0dHTO8SDi/G6xCDvWqlWr5IILLtBI1TnnnCNf+cpXzoj7w7Tv7++X888/X9xut35Qkv/2b/+mP7MzL/Z7jBesjzVr1siBAwfOiHe46BUJZUIoEUz9Bx98UJYvXz7n9yw8j8cjDzzwQOw7wsP4p7gKi9mN8/l8Z8T9XX311eq6YXGZnwsvvFBxBPPnxX6P8TI5OSkHDx6UlpaWM+IdqkQWsbzvfe+LVFVVRR566KFIT09P7DM9PR075r3vfW+kvb098uCDD0a2bt0a2bJli34Wi/zN3/yNRqEOHz4c2blzp/7b4XBE7r333jPi/hKJNWpzJtzjxz72MZ2jvMPHHnsscs0110Tq6+s1yngm3B+yqBUJejDR57vf/W7smJmZmcj73/9+DZmWlpZG/uRP/kSVzWKRd7zjHZGOjo6I1+uNNDQ0RK6++uqYEjkT7i8TRbLY7/ENb3hDpKWlRd/hkiVL9N8HDhw4Y+4PKdAIFKQgBXlpYyQFKUhBFoYUFElBClKQnKWgSApSkILkLAVFUpCCFCRnKSiSghSkIDlLQZEUpCAFyVkKiqQgBSlIzlJQJAUpSEFyloIiKUhBCpKzFBRJQQpSkJyloEgKUpCC5CwFRVKQghREcpX/H6A8Jtqt9HNSAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "predictor_name = \"proximity\"\n",
+    "\n",
+    "for i in range(1,300,20): \n",
+    "    focal_center = focal_df.loc[i, [\"x\", \"y\"]]\n",
+    "    x_center, y_center = focal_center[\"x\"], focal_center[\"y\"]\n",
+    "    plot_predictor(\n",
+    "        fish_object.foragers,\n",
+    "        fish_object.derived_quantities[predictor_name],\n",
+    "        predictor_name=predictor_name,\n",
+    "        time=range(i, i+1),\n",
+    "        grid_size=90,\n",
+    "        size_multiplier=10,\n",
+    "        random_state=99,\n",
+    "        forager_position_indices=list(range(10)),\n",
+    "        forager_predictor_indices=[2],\n",
+    "    )\n",
+    "    ax = plt.gca()\n",
+    "# Optional Apply zoom to all subplots to better visualize/separate foragers\n",
+    "\n",
+    "    ax.set_xlim(x_center - 20, x_center + 20)\n",
+    "    ax.set_ylim(y_center - 20, y_center + 20)\n",
+    "\n",
+    "    fig.show()\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c91ca124",
+   "id": "c91ca124",
+   "metadata": {},
+   "source": [
+    "### Model fit\n",
+    "Estimate model coefficients using SVI. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "90f4025a",
+   "id": "90f4025a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-05-23 10:19:44,480 - Sample size: 299776\n"
+     ]
+    }
+   ],
+   "source": [
+    "predictors = [\"access\", \"proximity\"]\n",
+    "outcome_vars = [\"nextStep_sublinear_25\"]\n",
+    "\n",
+    "fish_predictor_dict, fish_outcome_dict = ft.prep_DF_data_for_inference(\n",
+    "    fish_derivedDF,\n",
+    "    predictors,\n",
+    "    outcome_vars,\n",
+    "    subsample_rate=0.1,  # Adjust as needed\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "cab363ef",
+   "id": "cab363ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-05-23 10:19:47,520 - Starting SVI inference with 1000 iterations.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[iteration 0200] loss: 525188.4375\n",
+      "[iteration 0400] loss: 519768.5312\n",
+      "[iteration 0600] loss: 519419.3750\n",
+      "[iteration 0800] loss: 518835.3438\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-05-23 10:19:51,592 - SVI inference completed in 4.07 seconds.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[iteration 1000] loss: 518776.8125\n"
+     ]
+    }
+   ],
+   "source": [
+    "fish_model = ft.HeteroskedasticLinear(fish_predictor_dict, fish_outcome_dict)\n",
+    "\n",
+    "fish_outcome = ft.get_samples(\n",
+    "    model=fish_model,\n",
+    "    predictors=fish_predictor_dict,\n",
+    "    outcome=fish_outcome_dict,\n",
+    "    num_svi_iters=num_svi_iters,  # Already defined earlier\n",
+    "    num_samples=num_samples,\n",
+    "    plot=False,\n",
+    "    verbose=False,\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4899bc3a",
+   "id": "4899bc3a",
+   "metadata": {},
+   "source": [
+    "Derive predictors using a range of optimal distances."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "c34ce3e7",
+   "id": "c34ce3e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-05-23 10:15:55,623 - access completed in 1.57 seconds.\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[13], line 11\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m opt \u001b[38;5;241m==\u001b[39m repulsion_radius:\n\u001b[1;32m      9\u001b[0m     \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[0;32m---> 11\u001b[0m fish_df \u001b[38;5;241m=\u001b[39m \u001b[43mderive_cp_predictors\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfish_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrep\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrepulsion_radius\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopt\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mopt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     13\u001b[0m pred_dict, out_dict \u001b[38;5;241m=\u001b[39m ft\u001b[38;5;241m.\u001b[39mprep_DF_data_for_inference(\n\u001b[1;32m     14\u001b[0m     fish_df,\n\u001b[1;32m     15\u001b[0m     predictors\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maccess\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mproximity\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[1;32m     16\u001b[0m     outcome_vars\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnextStep_sublinear_25\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[1;32m     17\u001b[0m     subsample_rate\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m,\n\u001b[1;32m     18\u001b[0m )\n\u001b[1;32m     20\u001b[0m model \u001b[38;5;241m=\u001b[39m ft\u001b[38;5;241m.\u001b[39mHeteroskedasticLinear(pred_dict, out_dict)\n",
+      "Cell \u001b[0;32mIn[9], line 29\u001b[0m, in \u001b[0;36mderive_cp_predictors\u001b[0;34m(data_object, rep, opt)\u001b[0m\n\u001b[1;32m     11\u001b[0m predictor_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m     12\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maccess\u001b[39m\u001b[38;5;124m\"\u001b[39m: {\n\u001b[1;32m     13\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdecay_factor\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m0.9\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     20\u001b[0m     },\n\u001b[1;32m     21\u001b[0m }\n\u001b[1;32m     23\u001b[0m local_windows_kwargs \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m     24\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwindow_size\u001b[39m\u001b[38;5;124m\"\u001b[39m: window_size,\n\u001b[1;32m     25\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msampling_fraction\u001b[39m\u001b[38;5;124m\"\u001b[39m: sampling_fraction,\n\u001b[1;32m     26\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mskip_incomplete_frames\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m     27\u001b[0m }\n\u001b[0;32m---> 29\u001b[0m object_derived_DF \u001b[38;5;241m=\u001b[39m \u001b[43mft\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mderive_predictors_and_scores\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     30\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdata_object\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     31\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlocal_windows_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     32\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpredictor_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpredictor_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     33\u001b[0m \u001b[43m    \u001b[49m\u001b[43mscore_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mscore_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     34\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdropna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m     35\u001b[0m \u001b[43m    \u001b[49m\u001b[43madd_scaled_values\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m     36\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     38\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m object_derived_DF\n",
+      "File \u001b[0;32m~/Documents/GitHub/collab-creatures/collab/foraging/toolkit/derive.py:131\u001b[0m, in \u001b[0;36mderive_predictors_and_scores\u001b[0;34m(foragers_object, local_windows_kwargs, predictor_kwargs, score_kwargs, dropna, add_scaled_values)\u001b[0m\n\u001b[1;32m    129\u001b[0m generate_function \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(ftk, function_name)\n\u001b[1;32m    130\u001b[0m start \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[0;32m--> 131\u001b[0m derived_quantities[predictor_name] \u001b[38;5;241m=\u001b[39m \u001b[43mgenerate_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    132\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforagers_object\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpredictor_name\u001b[49m\n\u001b[1;32m    133\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    134\u001b[0m end \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[1;32m    135\u001b[0m derivation_logger\u001b[38;5;241m.\u001b[39minfo(\n\u001b[1;32m    136\u001b[0m     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpredictor_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m completed in \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mend\u001b[38;5;241m-\u001b[39mstart\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m.2f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m seconds.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    137\u001b[0m )\n",
+      "File \u001b[0;32m~/Documents/GitHub/collab-creatures/collab/foraging/toolkit/proximity.py:195\u001b[0m, in \u001b[0;36mgenerate_proximity_predictor\u001b[0;34m(foragers_object, predictor_name)\u001b[0m\n\u001b[1;32m    160\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    161\u001b[0m \u001b[38;5;124;03mGenerates proximity-based predictors for a group of foragers by invoking the proximity predictor mechanism.\u001b[39;00m\n\u001b[1;32m    162\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    190\u001b[0m \n\u001b[1;32m    191\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    193\u001b[0m params \u001b[38;5;241m=\u001b[39m foragers_object\u001b[38;5;241m.\u001b[39mpredictor_kwargs[predictor_name]\n\u001b[0;32m--> 195\u001b[0m predictor \u001b[38;5;241m=\u001b[39m \u001b[43m_generate_proximity_predictor\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    196\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforagers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforagers_object\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforagers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    197\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforagersDF\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforagers_object\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforagersDF\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    198\u001b[0m \u001b[43m    \u001b[49m\u001b[43mlocal_windows\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mforagers_object\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlocal_windows\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    199\u001b[0m \u001b[43m    \u001b[49m\u001b[43mpredictor_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpredictor_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    200\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    201\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    203\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m predictor\n",
+      "File \u001b[0;32m~/Documents/GitHub/collab-creatures/collab/foraging/toolkit/proximity.py:141\u001b[0m, in \u001b[0;36m_generate_proximity_predictor\u001b[0;34m(foragers, foragersDF, local_windows, predictor_name, interaction_length, interaction_constraint, interaction_constraint_params, proximity_contribution_function, **proximity_contribution_function_kwargs)\u001b[0m\n\u001b[1;32m    138\u001b[0m         partner_x \u001b[38;5;241m=\u001b[39m foragers[partner][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[t]\n\u001b[1;32m    139\u001b[0m         partner_y \u001b[38;5;241m=\u001b[39m foragers[partner][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39miloc[t]\n\u001b[0;32m--> 141\u001b[0m         predictor[f][t][predictor_name] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[43m_point_contribution\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    142\u001b[0m \u001b[43m            \u001b[49m\u001b[43mpartner_x\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    143\u001b[0m \u001b[43m            \u001b[49m\u001b[43mpartner_y\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    144\u001b[0m \u001b[43m            \u001b[49m\u001b[43mlocal_windows\u001b[49m\u001b[43m[\u001b[49m\u001b[43mf\u001b[49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[43mt\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    145\u001b[0m \u001b[43m            \u001b[49m\u001b[43mproximity_contribution_function\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    146\u001b[0m \u001b[43m            \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mproximity_contribution_function_kwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    147\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    149\u001b[0m \u001b[38;5;66;03m# scaling to abs max (not sum, as this would lead to small numerical values)\u001b[39;00m\n\u001b[1;32m    150\u001b[0m max_abs_over_grid \u001b[38;5;241m=\u001b[39m predictor[f][t][predictor_name]\u001b[38;5;241m.\u001b[39mabs()\u001b[38;5;241m.\u001b[39mmax()  \u001b[38;5;66;03m# sum()\u001b[39;00m\n",
+      "File \u001b[0;32m~/Documents/GitHub/collab-creatures/collab/foraging/toolkit/point_contribution.py:22\u001b[0m, in \u001b[0;36m_point_contribution\u001b[0;34m(x_source, y_source, grid, contribution_function, **contribution_function_kwargs)\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_point_contribution\u001b[39m(\n\u001b[1;32m     14\u001b[0m     x_source: \u001b[38;5;28mint\u001b[39m,\n\u001b[1;32m     15\u001b[0m     y_source: \u001b[38;5;28mint\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     18\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcontribution_function_kwargs,\n\u001b[1;32m     19\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m np\u001b[38;5;241m.\u001b[39mndarray:\n\u001b[1;32m     21\u001b[0m     distance_to_source \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39msqrt(\n\u001b[0;32m---> 22\u001b[0m         (\u001b[43mgrid\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mx\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mx_source\u001b[49m) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m+\u001b[39m (grid[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m-\u001b[39m y_source) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[1;32m     23\u001b[0m     )\n\u001b[1;32m     24\u001b[0m     contribution \u001b[38;5;241m=\u001b[39m contribution_function(\n\u001b[1;32m     25\u001b[0m         distance_to_source, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcontribution_function_kwargs\n\u001b[1;32m     26\u001b[0m     )\n\u001b[1;32m     27\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m contribution\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/ops/common.py:76\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer.<locals>.new_method\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m     72\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[1;32m     74\u001b[0m other \u001b[38;5;241m=\u001b[39m item_from_zerodim(other)\n\u001b[0;32m---> 76\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/arraylike.py:194\u001b[0m, in \u001b[0;36mOpsMixin.__sub__\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m    192\u001b[0m \u001b[38;5;129m@unpack_zerodim_and_defer\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__sub__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    193\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__sub__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[0;32m--> 194\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msub\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/series.py:6135\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[0;34m(self, other, op)\u001b[0m\n\u001b[1;32m   6133\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_arith_method\u001b[39m(\u001b[38;5;28mself\u001b[39m, other, op):\n\u001b[1;32m   6134\u001b[0m     \u001b[38;5;28mself\u001b[39m, other \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_align_for_op(other)\n\u001b[0;32m-> 6135\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mIndexOpsMixin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/base.py:1384\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[0;34m(self, other, op)\u001b[0m\n\u001b[1;32m   1381\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m   1382\u001b[0m     result \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39marithmetic_op(lvalues, rvalues, op)\n\u001b[0;32m-> 1384\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_construct_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mres_name\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/series.py:6231\u001b[0m, in \u001b[0;36mSeries._construct_result\u001b[0;34m(self, result, name)\u001b[0m\n\u001b[1;32m   6228\u001b[0m \u001b[38;5;66;03m# TODO: result should always be ArrayLike, but this fails for some\u001b[39;00m\n\u001b[1;32m   6229\u001b[0m \u001b[38;5;66;03m#  JSONArray tests\u001b[39;00m\n\u001b[1;32m   6230\u001b[0m dtype \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(result, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m-> 6231\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_constructor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m   6232\u001b[0m out \u001b[38;5;241m=\u001b[39m out\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m   6234\u001b[0m \u001b[38;5;66;03m# Set the result's name after __finalize__ is called because __finalize__\u001b[39;00m\n\u001b[1;32m   6235\u001b[0m \u001b[38;5;66;03m#  would set it back to self.name\u001b[39;00m\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/series.py:588\u001b[0m, in \u001b[0;36mSeries.__init__\u001b[0;34m(self, data, index, dtype, name, copy, fastpath)\u001b[0m\n\u001b[1;32m    586\u001b[0m manager \u001b[38;5;241m=\u001b[39m _get_option(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode.data_manager\u001b[39m\u001b[38;5;124m\"\u001b[39m, silent\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m    587\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m manager \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mblock\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 588\u001b[0m     data \u001b[38;5;241m=\u001b[39m \u001b[43mSingleBlockManager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrefs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrefs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    589\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m manager \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124marray\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m    590\u001b[0m     data \u001b[38;5;241m=\u001b[39m SingleArrayManager\u001b[38;5;241m.\u001b[39mfrom_array(data, index)\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/internals/managers.py:1870\u001b[0m, in \u001b[0;36mSingleBlockManager.from_array\u001b[0;34m(cls, array, index, refs)\u001b[0m\n\u001b[1;32m   1863\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m   1864\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfrom_array\u001b[39m(\n\u001b[1;32m   1865\u001b[0m     \u001b[38;5;28mcls\u001b[39m, array: ArrayLike, index: Index, refs: BlockValuesRefs \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1866\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m SingleBlockManager:\n\u001b[1;32m   1867\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1868\u001b[0m \u001b[38;5;124;03m    Constructor for if we have an array that is not yet a Block.\u001b[39;00m\n\u001b[1;32m   1869\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1870\u001b[0m     array \u001b[38;5;241m=\u001b[39m \u001b[43mmaybe_coerce_values\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1871\u001b[0m     bp \u001b[38;5;241m=\u001b[39m BlockPlacement(\u001b[38;5;28mslice\u001b[39m(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;28mlen\u001b[39m(index)))\n\u001b[1;32m   1872\u001b[0m     block \u001b[38;5;241m=\u001b[39m new_block(array, placement\u001b[38;5;241m=\u001b[39mbp, ndim\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, refs\u001b[38;5;241m=\u001b[39mrefs)\n",
+      "File \u001b[0;32m~/Library/Python/3.11/lib/python/site-packages/pandas/core/internals/blocks.py:2664\u001b[0m, in \u001b[0;36mmaybe_coerce_values\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m   2661\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(values, np\u001b[38;5;241m.\u001b[39mndarray):\n\u001b[1;32m   2662\u001b[0m     values \u001b[38;5;241m=\u001b[39m ensure_wrapped_if_datetimelike(values)\n\u001b[0;32m-> 2664\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28missubclass\u001b[39m(values\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mtype, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m   2665\u001b[0m         values \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(values, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mobject\u001b[39m)\n\u001b[1;32m   2667\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(values, (DatetimeArray, TimedeltaArray)) \u001b[38;5;129;01mand\u001b[39;00m values\u001b[38;5;241m.\u001b[39mfreq \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   2668\u001b[0m     \u001b[38;5;66;03m# freq is only stored in DatetimeIndex/TimedeltaIndex, not in Series/DataFrame\u001b[39;00m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "repulsion_radius = 2\n",
+    "optimal_distances = range(1, 21)\n",
+    "\n",
+    "used_optimal_distances = []   # NEW\n",
+    "proximity_effects = []\n",
+    "\n",
+    "for opt in optimal_distances:\n",
+    "    if opt == repulsion_radius:\n",
+    "        continue\n",
+    "\n",
+    "    fish_df = derive_cp_predictors(fish_object, rep=repulsion_radius, opt=opt)\n",
+    "\n",
+    "    pred_dict, out_dict = ft.prep_DF_data_for_inference(\n",
+    "        fish_df,\n",
+    "        predictors=[\"access\", \"proximity\"],\n",
+    "        outcome_vars=[\"nextStep_sublinear_25\"],\n",
+    "        subsample_rate=0.1,\n",
+    "    )\n",
+    "\n",
+    "    model = ft.HeteroskedasticLinear(pred_dict, out_dict)\n",
+    "    outcome = ft.get_samples(\n",
+    "        model=model,\n",
+    "        predictors=pred_dict,\n",
+    "        outcome=out_dict,\n",
+    "        num_svi_iters=num_svi_iters,\n",
+    "        num_samples=num_samples,\n",
+    "        plot=False,\n",
+    "        verbose=False,\n",
+    "    )\n",
+    "\n",
+    "    proximity_key = \"weight_continuous_proximity_nextStep_sublinear_25\"\n",
+    "    prox_mean = outcome[\"summaries\"][proximity_key][\"mean\"].mean()\n",
+    "    proximity_effects.append(prox_mean)\n",
+    "    used_optimal_distances.append(opt)  # NEW\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d67967c6",
+   "id": "d67967c6",
+   "metadata": {},
+   "source": [
+    "Then plot the proximity coefficient for each distance to visualize how predictors vary with different optimal distances. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "id": "4c0ebe8b",
+   "id": "4c0ebe8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(6, 4))\n",
+    "plt.plot(used_optimal_distances, proximity_effects, marker=\"o\")\n",
+    "plt.xlabel(\"Optimal Distance (proximity)\")\n",
+    "plt.ylabel(\"Mean Proximity Coefficient\")\n",
+    "plt.title(\"Proximity Hypothesis Fit (Fish)\")\n",
+    "plt.grid(True)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "847c90db",
+   "id": "847c90db",
+   "metadata": {},
+   "source": [
+    "Then we can evaluate our model fit. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "4cd8ae40",
+   "id": "4cd8ae40",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Cee655wYtu2nTJjnrrLPkzW9+syxbtkw+/elP63XqSG3ZskUuuOACqays1Pf84Ac/KB0dHUWvZ+fOneL1enNeB4/2+pbocOac7AEQHW6+8Y1vyKJFiyQcDsvzzz+vF5JPP/20bNy4Uf9jVWxoe+ONN+q/Mz85v+GGG+TLX/6yTDT8R3fv3r3yq1/9Sq655poJf3+EttiXn/nMZyb8vQ8HuOi0QnCJcwwXn8cff/yI1onQPhQKicvlGqNRinzpS1+S7373u/Lud79brr32Wtm8ebPceuutejH6yCOPDFn+8ssvl4suumjQY6eddlr637gof9/73qdfeBzBP0JV67rw77Vr18r27dsLHie2+7LLLpOHH35YL5Kvv/56vajFBfaf//xn+d3vfif79u2TuXPnymglk0m5+OKLZf369fKFL3xBGhoa9I8f/H/Dyy+/nPOPqGL3KbZnyZIlQ16PbfP7/XLyySePeluIiIhK+Rq8EJN1LT6ZsB937Ngh//znP+WNb3zjoOfuvPNOfR77Pxcsg2tOvB7ryXa9Aeedd5586EMfGvL4UUcdNaJx4/oFQaDP59PrGVyzovgE4SYKF+rr64f9++NPf/qTvOENb5Dm5uacy43nNZR5rYsQdtu2bXoNiG3CHZArVqzQZWbNmqVFCrgWxfuhWOHEE0+UK6+8suj3O3DggF7botjhW9/6lq7v+9//vrz66qt6/Nxud8Hr+uxnP6sfpkQikTG/viU67BlENCZ+85vfGPiVevHFFwc9/qUvfUkf/9Of/lT0Ojs6OvS1X/va14xS8fe//13HdM8990zK+1988cXGggULJuW9D0c4X3E8cf5mevOb32wsW7Zswsd06NAhw+l0Gh/84AcHPX7rrbfqWB944IH0Y7t379bHvve97+Vd589//nPjiCOOMJLJpP785JNPGjabzQiFQvpzLBYzli5davzgBz8oaqyf+MQn9P1/9KMfDXkuHo/ruPbv35/3/yMKhf8Pyfzda29vN2pra43LL798zPZpNvv27dP99dGPfnREYyciIppK1+BjbSKu53Hdhq/xXD+uC48++mjjM5/5zKDncD1VXV1tvOtd78r5d8KuXbv0ub/85S9GY2Oj8fWvfz3r+2AZXF+Npe985zu63n/+85/px7Zs2WI4HA7juuuuG/b1Bw8eNKLR6Ij+FhntNVSua92//e1v+vj/+3//L+vrAoGA0dTUZNxxxx0jel+st6yszNi7d2/6sUcffVTf85e//GXB63n44YcNt9tt3HDDDVl/T0dzfUs0HbA9AtE4O/PMM9MVqqZoNCpf/epX9ZNPfHqJ20Cw3JNPPpleBpV6uEUEUAlp3hJj9sPK1kcrHo/LTTfdJIsXL07foo1PdrN9qpnNE088oePAeHDrEG4bwm0xJtxmhk+kAS0S8P7D9c5ChSOWxSe+5eXlcuqpp8rq1auz3taGbbZCWwg8braHwHvhtaj0NfeH9fYkfLKP/YJP4fFJ/+zZs/UTb+u+x63g/9//9//JvHnzdB8dffTR+qlx6hrxdVj3Jz/5Sbnnnnvk2GOPlbKyMq3QxKfL8Mtf/lI/Scf7YFyZY4cXXnhBbynCMca2Y99l3hbV39+vVcPYDoxn5syZWl2Q75agDRs26PgeeOCB9GP4JBqPoQLACrdOWW9Bs/Y7w341P/FH1am5TzN706IiE5/kYxtwuyGqNYfraYtzBbdS4Va0Sy+9VP+N8/nzn//8sLdp4VYvnMvvf//7Bz1u/pzZ9sB6bPG7lasiFue0+TuD8xHHHI+bbQMwrk996lNSTAUCzgMcr2yV37h9Dtubr8oW7Ua2bt0qLS0tw74fbjVEBQXOaRP2KW71u//++/P+no90n5r++Mc/6v76wAc+MOw4iYiISvUaHPDfXdx1gmsBXMeddNJJg66pzP8+4/obVX5YBpWYb3rTm7QFgCnbtTj+W4yqQvz3uaqqStsu4XohE66Tst1in22daMH01re+Va8Rca2I69Kf//znBe0D3FGD2+RxDVdXV6fbiqrR0UDFJ6pOUSFp+r//+z+9QxDXJPmqbDEGVFVi/+Pn0cD74Vh2dnYWdA2Fa15rpSuqUM855xy9M2o4qK4d6R1l43UNlev8Nn3iE5/Qv3dwvEyoNMY+w/fh/O///q+87W1vk/nz56cfO/fcc/XvrEL2mfl7hLu78IW/T8f6+pZoOmBoSzTOzDAPFymmvr4++fWvf63h2Xe+8x29QEN/oPPPPz/dWxT/sTIvyN75zndq71h8Wf+DlgntChAGI7gzb/m5+eabhwQ12Tz22GP6/u3t7Toe9Lp89tln5Ywzzkhvw7//+79rCAzokYTxfOUrX8m5zra2Np2wDLde/8d//If813/9lwaruID961//KsXCe+EWftw2Y+4Ps78tAjdcWOACG2H4D37wA71AwEUJbosDXDDhvbFvEKb+8Ic/1NAWt+JgezP94x//0IAXtxRhnyDAxnv87Gc/k5/85Ce6TXgtArGrrrpqSACOW4pwrL/2ta/pbUXo14SLbtxSZEJvLhznd73rXXorEEI+BMTWsDwT+mkhgMSt/NaxoscVbi3CewIupnEMMY5s0NsUtxIC+kiZ+9S6fE9Pj+6rlStX6j7FBS5us//b3/427PHCMcE5hT90EIzjfMQ6brvttryvMy/OsB+s8AeHGVBnwnFHMIw/rHBBntkGAo+98soreuG8e/duPRcRuuP3Er97eD3Oh2IuyLEPEISiv9dIIdTGcbjuuuuGXRbjx+82jrMVbk/EHy64VW4s96kV/rDChX+uc4mIiGgqXIOjJRAKCHCdhdYGuC5BsQI+YLZem+K6D9cG+NAaH+ziGhTh1XB9NnEtjmvTVatWybe//W29rkBIORq4TkQrKlyDY7z47zGuQXE9mg9ameF6HSEvxoTtwXU0igpG44orrtAPm61zbiAIRgCKYDnftQT+jsFt9QgS0Y4Kt/Zng78XEMZmflk/nMf1NK6hcHzywfUwCh4QWGfCNRRCTxRRjJfxuobKdn6bcK7gbwB8GIG2BCac49hnw/0dhutT/E2Ya5/hmrQQOO/wtwRaiYzH9S3RtDDZpb5Eh9utWY899pi2NcAt0ffee6/e/uPxeNK3SJu3TUcikUGv7+npMWbNmmVcddVVBbVHwGPWX+F169bpz9dcc82g5T7/+c/r40888UTe8R9//PHGzJkzja6urvRj69evN+x2u/GhD30o/RhuKy+0PQJuncKy//jHP9KP9ff3G4sWLTIWLlxoJBKJQfsOt/9Yme+F76ZctyTdfvvtuuwPf/jDIc+Zt8Tfd999usw3v/nNQc+/+93v1tuWduzYkX4My+G4WceEW4HwOG416uvrSz+O26qs48f7HXnkkcb555+ffm8IBoO67eedd176sZqamhHdAob98MY3vjH982WXXaZfuM0Lt0vBv/71Lx3X/fffn/PWueHaI+A5621VOG+x/bj9LfO2Les6rrzySn3sG9/4xqB1nnDCCcaJJ56Yd9tefvllfe1NN9005PYqPF5ZWZl+DLdsrVq1Stsf4Bb/H//4x8b8+fP1vH3wwQcHvf7Tn/60vh5fM2bMSP9O4Ha1Cy64wCjWZz/7WV3XK6+8MuLbN819h/01nIqKikH//2BavXq1rgP7Zyz2aaaNGzfqMl/84heHHSMREVEpX4Ofc845xooVK4xwOJx+DNdqp59+ul67mVauXKnXWvnkuhb/j//4j0HLXXHFFUOu5/Hf/WzXs5nrNK8fM+EaE22frDKv8d7xjneMaZsra9usk046ybj66qvTf8Pg9vff/e53Of9OeOmll/Rx3F5v7vO5c+ca11577ZD3Ma/Vsn398Y9/TC9nvtdwbSfMv6cyr0nhZz/7mT63devWgvdDMe0RxuIayrxWvPHGG3VbWltb9W+rk08+Oeu+/spXvmIcd9xxulyu35Vs1/1W5t8H2VorfOELX9DnrL9D2bS0tBhVVVXpVgq52piM5vqWaDpgpS3RGMNtI6iSxSequPUHn97jU07rLdK4bdps3o5Pf7u7u7ViD59mjnSmzIceeki/Z1aMolIUMlsSWOHTclT44lYt3CpmOu644/TWb3PdIxkTPiXF7WQmVEOiqhOfDuO2+7GCW3hQgZvt9nbzNjOMB/seVQeZ+wjXiJnVo6gYsN66ZrYZQFUsbnnLfNycgRb7EtUDqETo6upKVwfg9n2sExWy5i1lqJhFxQMmBCv2liicK1gnYKINTE6ACgpU3QK+Y9ut+79YOF7/9m//lv4Z5y2OaaGz7WbO8otxD/dafNqOfYoqdNwSiHMFxwaV3qhYMVsaAKpeUMmN97nkkku0uhqf2ON30Dz3Tbfccou21sD+xndUz+BY3XHHHVp9japsbCtaQKAKPl+1M5gVzdZzoVg4v3DuZbakyAbbjdsiM5mTq1j3y2j2aSbz9kW2RiAioql8DY7rbdwJhduuUVlpXp/hWg13BuHaDRWG5vUZqnKLmZzUvF7OvM4c7eS51rtkcK2CMePuJVxP5bvNHduA1gy5qllHA9e4f/nLX7TyFbe34/oadwbmu5bALfC49gJcn2JyWLRnytY2Cy3a0Ioi88t8PeBaDddQZuu4XMxrnJFeQ43GWF5D4c49nN9NTU16PY3rVFRe41w3YR/hbjIcD+xf7CNrKw38rYd9hu/jvc9wZ94RRxwx7MTVo7m+JZoOXq+VJ6IxgVuV0OsHF1G33367BnTZ/kOEWeXxH1r0FUK/HxNmvR0JhFC4rSRzxlL8hx0XbXg+32sBrQIy4RYahGIIB3HxW+yYrP1Ures0n8et/mMBtzZh/NZbgLKNBz2pMkM263isrD2cAL1pAX8MZHsct/+AeYGfb6ZWnB+4nQn9YbEc1om2DgheMVsuLnLywcUagn60ZsBrcQsTHsMfGNbQFrfEWYP4YuEPnczeahg3bjMbDi62zL7M1tea+2m4EB4Xm2bbCVx84gOJv//97/Laa6/lfS22Fz16cVsi/lixfmCCY2o9rvjDCoEv2j4gsN2/f7/2z8LvJ0Jg/H7mOqeqq6v1+3jeUpf5R1u2vl7mLM2ZrQ/GYp/iwh63POL3FB/iEBERTdVr8B07duh/1/7zP/9Tv7LB9RQ+vEX7KASHWB/+G4hWUWiHlO+/hea1eGbvzmzX18XAfAgI7HDNh9vFrbCt5nVottAM7c/wYTv+PkDLBoStaH02Wmi9hpZe+AAYwSTah+X6EBuhLMJZBK5oUWXC3wj4W+jxxx/XsVnh2g0h/Fgwr49Gcw01EmN9DYWiF8wTgjHjwwe0assMvFFskzlPx2Tss+eff15bruHYZrY9yPZeE31siKYShrZEYwwXRmb/H/THQpUjLpAQiqBqEf7whz/oJ5x4Hj1R0f8JAQr6z+ZqJl+ozIBtKsg15uEmrBpvOCbFPG5eJJlVtN/73ve08jUb81xAtQfCVvSWQh9WvAbVkKhewCRiueAcQyiKP0gQQuIcwh8WWBd64+LiB6FtvqqHQgy3rSN5bSHwBxOqhxGAt7a26kQg+AACoTu2czhmsI6qmlwTgWESDVQpoAoH5xomVcAxwL7FpB3oBYeLzlyVygh6AZPT5TrOYwkT62WbsMx8DPtmrPcp/lDEH6H4/yYiIqKpfA1uXp8hbERlbTZm8QP6j+KaHB/k4toAc1Hgrpxf/OIXw1YOjuW1L8aAu7RwzYHe+7i+wV1PqOrFeKyTgWVCUQK2/cEHH5SHH35YP7zFNSLmv0B/29Fek6CKE6ErrhWw7lwQMOJaBcFttolPEfpmhrZjCR/mI7wfzTXUSIz1NRSu28wgGyE5rrPRlxlheLbes6M9vpBrn5n7NJcvfvGL+jcJipHM3rvmhHF4/b59+9JFFKO9viU63DG0JRpHZhBrTmKA/7ACbiNCJSWCOetFGz5FH2kAiwkKcOGGQMasHDUnA8MEWHg+32shW7UdKg3RdqDYKltzvbnWaX1fs4E+xmmVrTo41z5BVQNue0fVcq7JpPB+qDhAZaS1GiBzPKNlVligErOQKgFcrGBCCXyhwgO3suPWpnyhrdmmAMEsLnrMGWTxHYEtLoBx7Ieb9KDUQ35coOIL0E4DF3DD3dIFZguGzEpfEypV8IHJTTfdpJXo2Fc4d8wLQ3yqj/PSvE0yGxwf/I7jQ5jRTEZWKLP1BX7PrVULOO8xoVghYXax+xTnEc4R/NFLREQ0la/BzbuYcJ1YyPWZeecOvvx+v15T4Vb8XKGteS1u3v1lynYtjGuMzOvebNe+//d//6fXdfiA2Xqn0JNPPimFwPU77rLBF1oZYCIwXGNiAlTz9vORwrUB9gWuo3CnWC64lkBxQbaJ0/C3EAoXEIaPV0UlrplWrFghL7300pDncA2F82I0ra5yGe9rKEyOhwIDTPKFUH4s4YN+XENn22eYAG64YgWEsjiXs91BikmhUR1unv9jdX1LdLhiT1uicYZPoRGuYfZM8zYPswLRWq2I/zDhtqdsM7tnu6jLZF4s4X2s8Kk85Ju5FqEh/oOJW8Kt77Vx40atLsh3ITbcmPAfdut2oc3Cbbfdpr08ceu+NeRE1ai10gDLZbv4zNa/C31m8Qluthlkzf2M8WC9mcugUgEXVflC0mKgzQG26fvf/75e5Gfq6OjQ7xhL5rbgohbBYbbbhDIhoMV5gwt3M7RFwI7QHtW65jL5mGF8IefYZMKFHD61x++EtU+uuS+tELTitkjcimZWCmTC/sEfTB/96Ef15/r6em2DYAb4OJewblSi5oJqF7wevyO33npr1jGjAgUtGnJBUIz3zFZhkAk9yxAu4w8cE8Z5zz33aCsHa8UD/mAcrmo/1z61jg3rRqVSZqsQIiKiqXYNjmssPPbLX/4y6393rdcU6HNrhUpdVOHmuz4zryNx27pV5rU54DoR14DWdlMYEwJMq2x/M+B16E8/nMxtwAf+uPbGuqyt2UYK1yUoOEH1rjlXRyb0I8V1CypDsXzm1yc/+UktpkAoXSx8AI9rKLOCc7ixorevNYREmI4qYLQcsMI6ETqOxkRcQyEsx9wEaGOHORoKgXMH25evF7L1bytUaaN1mAntDrZt2zZon2W7lsXfcDiXrV/mvCP4+8js9Vvs9S3RdMRKW6IJgIo+/McNkw0hHMGFC/7DhFvXEaaivxM+YcaFlDXkwyfOeAy3ceNTRnzij75I2frArly5Unuj4j+SCOAwQQECUwSxuEXM2rg/G9yWj4vN0047Ta6++mq9yEIQhU9Ch2vwnwuqGv74xz/qetE7FOPHeLC9uI3K/DQVt6Kfeuqp+qk/bmfHcrh9Cj1bswWi2B/oxXnyySfrRTT+g44+sJhQCo9juxFWIiBGZS0qWNGXDMthP+CTadyqg32GwA23vmGSiMweZCOF7cJtdNhubBsqNPCJNcJEBKyowEXlBC5Sces+LlYwFmwLxouLSoR9w8E2oloCF1PWcBaVIPiDBMF4rtYAJmwzLvpw/qHKACEueoyNtLfyWMGEYvgDCx8m4GIQPcHM89l68YvQ0bx1EGE3jiu2HcceE49lgwtxnO+YnM/8YwiBLc4RnAd4HheXWB9+H/LBccL74/w2/yhBGIx14GITF7Ho+5YLzgmE7PjdHW4yMpwn+D3B+YQKWQT0+EMJ4X/mbY7YH2DeklbMPjXhjwD8wccJyIiI6HC5Bke1J4I0VF7ig1dUWSIwQoEBPmRdv369vg7X3wh4cd2J61KEfbhTDiFjLvjv6+WXX67/bUYodvrpp2vIhV66mXBtgJ6z+FsA1xAIIDFhFK73rZMSo20AAlFcwyKgw98JqK5EAD3cB754LT58Rg9bTAKGllAoXMDfHtbKUhQu4O+Gp556qqh9W8jfCAhjcb2L6spscF2Dik6EeKgGNiEYxJ1MmbAd6NsKuIbBdT2C4+HGgb8FsN+w7WiPgWprFLZgfZkT1+K6LHN/IFw3g2UcTxzfb37zm/ozruFxfIq9hsI5iWs6BPCF3EWWDa7t8KEA5nHI1noiE65vC33P66+/Xq9lsY/xPjj3cP2M3x2sI9+1bLZ2F2aBCPattZ1DMde3RNOSQURj4je/+Q0+AjdefPHFIc8lEglj8eLF+hWPx41kMml861vfMhYsWGB4PB7jhBNOMB588EHjyiuv1Mesnn32WePEE0803G63rv9rX/uaPo7vmb/CsVjMuPHGG41FixYZLpfLmDdvnnHdddcZ4XC4oG147LHHjDPOOMMoKyszqqurjUsuucTYvHnzoGWefPJJfd977rmnoHXu3LnTePe7323U1tYaXq/XeOMb36jbmm25c889V/fHrFmzjOuvv9549NFH9b3wnia/329cccUVuj48Z91fwWDQ+MpXvpLe/qamJn1vrNvU399vfPaznzWam5t1mSOPPNL43ve+p8fECuv+xCc+Meix3bt36+NYvpB98sorrxiXXXaZUV9fr9uFsb73ve81Hn/8cX0+EokYX/jCF4yVK1caVVVVRkVFhf77v//7vwvat319fYbD4dDX4rwy/eEPf9DxfPCDHxzymje/+c36ZXX//fcbxx57rOF0OvV1OJfNZZctWzZkHZnnqblfzNeZy2B7MmU7b7PBurAvsA5s3znnnGM88cQTQ5a76667jLPOOstobGzU8Tc0NBjvfOc7jZdffjnnut/znvfoccnU1tam5zze7w1veIPx0ksvGYXAvv/1r39tnHnmmUZNTY2eV9g/H/nIR/QcyPf/Eea+w/4qRHd3t3H11VfrOVVeXq7HKNv/5+D9M/+/pNB9anr/+9+v29LV1VXQ2IiIiEr9GhxwXfihD31IrxPx37k5c+YYb3vb24x77703/bpvfvObes2K601cFx9zzDHGf/3XfxnRaDTvNU0oFDI+/elP63+n8d9bXFfs379/0DW8ac2aNcby5cv1Gv/oo4/W67ds63zggQeM4447Tq+jFy5caHznO98xbr/9dl0O1xG5rvF++ctf6jWSeR2KfYDrTp/PN+i6GOvBf/OHk+u6MN81MbYf4w4EAjlf8+EPf1iPQ2dnp/6M1+f6sm6f+V6Z+zUXHAf8XYC/cSorK/WYb9++fchyme9jPceyfWW7hivkGurWW2/V1z/88MN5x53r7w/r/sPfAzt27Mi7Hut2WK/Z89m4caOxatUqvebE78IHPvABo7W1Nev4hruWzfd7Wuj1LdF0ZMP/THZwTEREREREREQTBxOa4S4hVBijgpImDiYjxh1RqBgmIsqF7RGIiIiIiIiIphm07UKrBga2Ewt1c2i/kK0FBBGRFSttiYiIiIiIiIiIiEpIahYgIiIiIiIiIiIiIioJDG2JiIiIiIiIiIiISghDWyIiIiIiIiIiIqISwtCWiIiIiIiIiIiIqIRMu9AW86719fXpdyIiIiKiwx2vf4mIiIimnmkX2vb390tNTY1+JyIiIiI63PH6l4iIiGjqmXahLREREREREREREVEpY2hLREREREREREREVEIY2hIRERERERERERGVEIa2RERERERERERERCWEoS0RERERERERERFRCWFoS0RERERERERERFRCGNoSERERERERERERlRCGtkREREREREREREQlhKEtERERERERERERUQlhaEtERERERERERERUQhjaEhEREREREREREZUQhrZEREREREREREREJYShLREREREREREREVEJYWhLREREREREREREVEIY2hIRERERERERERGVEIa2RERERERERERERCWEoS0RERERERERERFRCWFoS0RERERERERERFRCGNoSERERERERERERlRCGtkREREREREREREQlhKEtERERERERERERUQlhaEtERERERERERERUQhjaEhEREREREREREZUQhrZEREREREREREREJYShLREREREREREREVEJYWhLREREREREREREVEIY2hIRERERERERERGVEIa2RERERERERERERCWEoS0RERERERERERFRCWFoS0RERERERERERFRCJjW0Xbt2rVxyySXS3NwsNptN7rvvvrzL/+Uvf5HzzjtPGhsbpbq6Wk477TR55JFHJmy8RERERERERERERId1aBsIBGTlypXys5/9rOCQF6HtQw89JC+//LKcffbZGvq+8sor4z5WIiIiIiIiIiIioolgMwzDkBKAStu//vWvcumllxb1umXLlsn73vc++epXv1rQ8n19fVJTUyM+n0+rdYmIiIiIDme8/iUiIiKaeqZ0T9tkMin9/f0yY8aMyR4KERERERERERER0ZhwyhT2/e9/X/x+v7z3ve/NuUwkEtEva6UBERERERERERERUamaspW2d911l9x4443y5z//WWbOnJlzuZtvvllvBzO/5s2bN6HjJCIiIiIiIiIiIjrsQ9u7775brrnmGg1szz333LzLXnfdddq/y/zav3//hI2TiIiIiIiIiIiI6LBvj/DHP/5RrrrqKg1uL7744mGX93g8+kVERERE+YVjCVmzqVX2dAVlYX25rFrWJF6XY7KHRUREREQ07UxqaIt+tDt27Ej/vHv3blm3bp1OLDZ//nytkj148KDccccd6ZYIV155pdxyyy1yyimnSGtrqz5eVlamrQ+IiIiIaOQQ2K5+tVW8LrtsOpSaB+Dtx8+Z7GEREREREU07k9oe4aWXXpITTjhBv+Bzn/uc/vurX/2q/tzS0iL79u1LL3/bbbdJPB6XT3ziEzJ79uz017XXXjtp20BERER0uECFrcthk0gsIXu7/PLwxlatviUiIiIioollMwzDkGmkr69Pq3LR37a6unqyh0NERERUMu59ab/8+LFt0tYXlqQhUlPmlC9ecIy8/40LJntoNAq8/iUioqlm4ZdXF7X8nm8P3z6TaKqZkhOREREREdHYs9lEugJRiSVF8Km+LxSXu1/kJK5ERERERBNtyk1ERkRERETj42BvWBx2mzhsot8TSUOCEbZHICIioomvniWa7lhpS0RERERqZpVb0DgrYYhEE4bYROSE+ZzslYiIiIhoojG0JSIiIiL16gGfxJNJDWvB47LLCfPrJnlURERERETTD9sjEBEREZHa3RUUl8MuLodINJ4Um80mLb7IZA+LiIiIiGjaYaUtEREREakjZ1ZKLJ4UfySh7REisYR09ocne1hERERERNMOK22JiIiIprlwLCFrNrVKhdsh5R6HxIJxsdlEnA67tPez0paIiIiIaKIxtCUiIiKa5hDYrn61VbwuuySThtjtImUuh1bbdvgZ2hIRERERTTSGtkRERETT3J6uoAa2C+srpMztlEjcEI/TLg67IU3VZZM9PCIiIiKiaYehLREREdE0t7C+XDYd6pM9XQFpqPKI22GTco9T3E6HnLt05mQPj4iIiIho2mFoS0RERDTNrVrWpN/3dgXl1EUzNMDd1RnQicnOPXbWZA+PiIiIiGjasU/2AIiIiIhocnldDnn78XPkU+ccKRUep3T4o9JY5ZHWvois3dYx2cMjIiIiIpp2GNoSERERkQrHEvLwxlbZ2+WXSCwhLodNq2+JiIiIiGhiMbQlIiIiIrVmU6sc6A2JLxiX9Qd6ZV9XQBbUl0/2sIiIiIiIph32tCUiIiIitacrKPNnlEtzTZns6fLLvLrydL9bIiIiIiKaOKy0JSIiIiI1p9Yre7oCsv5Aj/QEYlJb7p7sIRERERERTUsMbYmIiIhIxRJJOdQTlPa+iHQHIvLUtnZ5cP2hyR4WEREREdG0w9CWiIiIiNSTWzukLxyXpCGSSIp0+iPy5Nb2yR4WEREREdG0w9CWiIiIiFSLLyTxpIghIklU3sYNSRj4afpZu3atXHLJJdLc3Cw2m03uu+++Qc/jsWxf3/ve99LLLFy4cMjz3/72twetZ8OGDXLmmWeK1+uVefPmyXe/+90hY7nnnnvkmGOO0WVWrFghDz300DhuORERERGVAoa2RERERKTiKLG1QHBbW+aS6SgQCMjKlSvlZz/7WdbnW1paBn3dfvvtGsq+613vGrTcN77xjUHLfepTn0o/19fXJ6tWrZIFCxbIyy+/rIHv17/+dbntttvSyzz77LNy+eWXy9VXXy2vvPKKXHrppfq1cePGcdx6IiIiIppszskeABERERGVhr5QbMhjvcGhj00HF154oX7l0tTUNOjn+++/X84++2w54ogjBj1eVVU1ZFnTnXfeKdFoVANft9sty5Ytk3Xr1skPf/hD+djHPqbL3HLLLXLBBRfIF77wBf35pptukkcffVR++tOfyi9+8Ysx2FIiIiIiKkUMbYmIiIhIRdEbIUN8mrZHKEZbW5usXr1afve73w15Du0QELTOnz9frrjiCvnsZz8rTmfqEvy5556Ts846SwNb0/nnny/f+c53pKenR+rq6nSZz33uc4PWiWUy2zVYRSIR/bJW9BIRER3OFn55dcHL7vn2xeM6FqKxwtCWiIiIiJTXNbRzVjiWmJSxTCUIa1FRe9lllw16/NOf/rS84Q1vkBkzZmibg+uuu05bJKCSFlpbW2XRokWDXjNr1qz0cwht8d18zLoMHs/l5ptvlhtvvHEMt5CIiIiIJhpDWyIiIiJSR8+qlv09YZ2IDJw2kXiClbbDQXuDD3zgAzpRmJW1Qva4447Titp///d/11DV4/GM23gQDlvfG5W2mOSMiIiIiKYOTkRGREREROr85U1SW+Z4/QGbyIL68skcUsn7xz/+Ia+99ppcc801wy57yimnSDwelz179ujP6HWL1gpW5s9mH9xcy+TqkwsIhKurqwd9EREREdHUwtCWiIiIiNTbVjbLkbOqxW7TvFZsNpsk2dM2r//5n/+RE088UVauXDnssphkzG63y8yZM/Xn0047TdauXSux2OuTvWGSsaOPPlpbI5jLPP7444PWg2XwOBEREREdvhjaEhEREZHyuhzSFYiKwzbQ39YwZN2+XpmO/H6/hqz4gt27d+u/9+3bN6jtwD333JO1yhYTiP34xz+W9evXy65du+TOO+/UScj+7d/+LR3IYmIytEy4+uqrZdOmTfKnP/1JbrnllkGtDa699lp5+OGH5Qc/+IFs3bpVvv71r8tLL70kn/zkJydkPxARERHR5GBPWyIiIiLSCcfWbGqVzv6wxJMiSUkis5VoIinTEYLRs88+O/2zGaReeeWV8tvf/lb/fffdd4thGHL55ZdnbVGA5xGyRiIRnXAMoa01kK2pqZE1a9bIJz7xCa3WbWhokK9+9avysY99LL3M6aefLnfddZfccMMNcv3118uRRx4p9913nyxfvnyc9wARERERTSabgSvNaQQVEbhA9vl87O9FRERENOCBdQdl9autsm5/t3T0RcXpsInDbpM3LWmQX1158mQPj0aB179ERFQKFn55tZSCPd++eLKHQFQQtkcgIiIiItnTFdSWCCvn1Ep1mVOqy1xy5MxKuWB57gmviIiIiIhofDC0JSIiIiJZWF8u4VgSs49pT1tMQFZb7pYzljRM9tCIiIiIiKYd9rQlIiIiIlm1LFVRe/vTuwXZbaXHIVtb++XnT+2UG9/B/qlERERUui0PiA5HrLQlIiIiIvG6HPL24+dIuccp1V6nzJtRLm6HTba3+yd7aERERERE0w5DWyIiIiJKQx/baMKQgz1B/Y6fiYiIiIhoYrE9AhERERGlffa8o/Q7KmwR2Jo/ExERERHRxGFoS0REREQSjiVkzaZW2dMVlBMX1Ml1Fy3VlglERERERDTxGNoSERERkQa2q19tFZfDJo9taZOHN7bKBcubdIIyhrdERERERBOLoS0RERERaYWt12UXXzAmW1v6ZMshn7ywu0t8oah88LRFkz08IiIiIqJphROREREREZEsrC+X/nBM1m7v0AnIYkmRrkBMfvn3XZM9NCIiIiKiaYehLRERERFpG4R4wpCkMfjxjv7IZA2JiIiIiGjaYmhLRERERNq3Np6Z2KpsjxERERER0XhiaEtEREREqrnGO+SxcjcnISMiIiIimmgMbYmIiIhI7esODnmsqsw9KWMhIiIiIprOGNoSERERkdre1jfksVg8OSljISIiIiKazhjaEhEREZGKJIb2rzUM9rQlIiIiIppoDG2JiIiISNnFNvRBW5bHiIiIiIhoXDG0JSIiIiIVTyaGPObgPGRERERERBOOoS0RERERKZd96KWhLxCblLEQEREREU1nDG2JiIiISFp9IQlnmXTMyVJbIiIiIqIJx9CWiIiIiOSL926Q2NDMVrwuXi4SEREREU00XoUTERERkezuDGR9fE61d8LHQkREREQ03TG0JSIiIiJZ1FAhtiyPO5zZHiUiIiIiovHE0JaIiIiI5BvvWCZV3qH9aw/2hCZlPERERERE0xlDWyIiIiKSDQd84nEOvTTsCUYnZTxERERERNMZQ1siIiIikj1dQbHbh7ZCiCeNSRkPEREREdF0xtCWiIiIiGRhfblEookhjxvMbImIiIiIJhxDWyIiIiKSVcuaJFtRLTNbIiIiIqKJx9CWiIiIiMTrcohtaHcEqStzTsZwiIiIiIimNYa2RERERCThWEIqva4hj59zbNOkjIeIiIiIaDpjaEtEREREsmZT65CLwyWNFfLlC5dO2piIiIiIiKYr3u9GRERENE0raxHU7ukK6iRkO9r9Uu52SHWZUyLxpHhcDll17CypLXdP9lCJiIiIiKYdhrZERERE0xAC29WvtorXZZcNB3wSjSekrS8iwWhcbDabJCJx2XioT8Nd9LslIiIiIqKJw/YIRERERNMQKmwR2C6sr5CeYEQO9AS10haMpKGTkm1t7ZPVGw5N9lCJiIiIiKYdhrZERERE0xBaIoRjSdnTFZDeYEzqyt1y/Lw6cdjtkjBEYglDegNReXig1y0REREREU0ctkcgIiIimoZWLWvS7zs7AtITiMqBnpAkkkmJJZJioNoWwa0hsq21f7KHSkREREQ07bDSloiIiGgaQp/atx8/RxY3Vojb6ZCacpcGuEkktgPwT4fDNpnDJCIiIiKalhjaEhEREU3z3rYVHofMqvJKKJYY8vzs6rJJGRcRERER0XTG0JaIiIhomve2DUQSsuFAjySSg5+z20SWN1dP1tCIiIiIiKYthrZERERE07y37ZxarySTIk6ktFaGiC8cm6yhERERERFNWwxtiYiIiKZ5b9v6So+csKBOFjWWD3oOhbebD/VN2tiIiIiIiKYrhrZERERE0xxaJBzsCcrujsCQ58KxjJ4JREREREQ07pzj/xZEREREVOotEh7e2Cobs1TVnjC/dlLGRERERJNj4ZdXT/YQiIihLRERERGhRcIFy5vkia1tEo4bg56bV1c2aeMiIiIimsxQes+3Lx7XsRDlw/YIRERERNNQOJaQB9YdlJ88vl2/v3HRDGmq8Q5Z7vZndk/K+IiIiIiIpjNW2hIRERFNQ2s2tcrqV1vF67LLpkN98sKuLmntCw9ZricYn5TxERERERFNZ6y0JSIiIpqG9nQFNbBdWF+h31/c0yOR2ODWCDD0ESIiIiIiGm8MbYmIiIimoYX15RKOJWVnh192d/ilLxxjQEtEREREVCIY2hIRERFNQ6uWNcnFK5okmTREbDaZVe3lhSERERERUYlgT1siIiKiacjrcsjbj5+jbRJcTrvMrS2T3Z2ouE0MWs5lm7QhEhERERFNWyyoICIiIprGzDYJB3pDUulxDXk+wZ4JREREREQTjpW2RERERNO8TUIskZSHN7ZKe194sodDRERERESstCUiIiKa3tAmweWwy2utfRLPUlVrZ3sEIiIiIqIJx9CWiIiIaJpDX9tgdHAvW9OsGs+Ej4eIiIiIaLpjaEtEREQ0zaGvbbnbkfW5D522YMLHQ0REREQ03TG0JSIiIprm0Nf2P85eIo4srRC2twUmY0hERERERNMaQ1siIiIiknK3U5pqvEMe//u2jkkZDxERERHRdMbQloiIiGiaW7OpVR5Y3yK+YHTIcz1ZHiMiIiIiovHF0JaIiIhomtve7pft7X0SiiWHPJcc+hARERERER3Ooe3atWvlkksukebmZrHZbHLfffflXb6lpUWuuOIKOeqoo8Rut8tnPvOZCRsrERER0eGqLxSTlt6wJIyhzzGzJSIiIiKaZqFtIBCQlStXys9+9rOClo9EItLY2Cg33HCDvo6IiIiIRq+mzKU9bYmIiIiIqDRM6tX5hRdeqF+FWrhwodxyyy3679tvv30cR0ZEREQ0fSyZWSnNtV7pDcUmeyhERERERDTZlbZERERENLnCsYTEEklx2m28MCQiIiIiKhGH/X1waKmAL1NfX9+kjoeIiIiolKzZ1CprNrdLNJEUh50TjxERERERlYLDvqDi5ptvlpqamvTXvHnzJntIRERERCVjT1dQvC67LKyvkBgDWyIiIiKiknDYh7bXXXed+Hy+9Nf+/fsne0hEREREJWNhfbmEY0mx2WxZn3dlf5iIiIiIiMbRYd8ewePx6BcRERERDbVqWZN+f3hja9bnE8YED4iIiIiIiCY3tPX7/bJjx470z7t375Z169bJjBkzZP78+Vole/DgQbnjjjvSy+B587UdHR36s9vtlmOPPXZStoGIiIhoKvO6HPL24+dom4THN7dKJKNFAjsmEBERERFNs9D2pZdekrPPPjv98+c+9zn9fuWVV8pvf/tbaWlpkX379g16zQknnJD+98svvyx33XWXLFiwQPbs2TOBIyciIiI6vMyp9UqcVbVERERERCVhUkPbt7zlLWIYuf86QHCbKd/yRERERDQyuMRKGtOwlxYRERERUQk67CciIyIiIqL8wrGEPLG1XfjROBERERFRaWBoS0RERDTNrdnUKgd6Q2LL8lx8EsZDRERERDTdMbQlIiIimuYwCdmc2rKsoS0REREREU08hrZERERE07w1Qpc/Ii/u6pRklucdTHKJiIiIiCYcQ1siIiKiad4a4WBvWPrC2RshLG4sn/AxERERERFNdwxtiYiIiKZ5a4QKjyPnJGQr5tZO8IiIiIiIiIihLREREdE0trC+XMKxZM42CO19kYkeEhERERHRtMfQloiIiGgaO+uoRmmocOWstH1pb/cEj4iIiIiIiJyTPQAiIiIimpwJyNDP9uGNrbLhYK/EEtmXC8VyxblERERERDReGNoSERERTUMIbB9Y3yIbD/ZIW180Z6UtERERERFNPLZHICIiIpqmE5D1BCMSjCbzBrY5Wt0SEREREdE4YmhLRERENE0nIOsNxiRpGOLMc0XIClwiIiIioonH0JaIiIhoGlq1rEnetKRByt1OcTnsYmdJLRERERFRyWBoS0RERDQNeV0Oue6ipXLe0llSXeZiaEtEREREVEIY2hIRERFN4+B2Vo1XTj2inr1riYiIiIhKCENbIiIiommsucYrO9v9EktO9kiIiIiIiMjE0JaIiIhoGrPZRPrCsckeBhERERERWTC0JSIiIprG9nYFJZZgmS0RERERUSlhaEtEREQ0jflCMQlEEpM9DCIiIiIismBoS0RERDRNhWMJOdgTEpHclbacoIyIiIiIaOIxtCUiIiKaptZsapVt7f0SjOYObXmxSEREREQ08XgdTkRERDRN7ekKitdlF4+Tl4RERERERKXEOdkDICIiIqLJsbC+XLwupxh55iFjewQiIqKpb+GXV0/2EIioSCyrICIiIpqmzjqqUY5tqpJkntQ2PqEjIiIiIiIiYGhLRERENE2t3dYhGw/5JJqY7JEQEREREZEVQ1siIiKiadzTttMflTzdEYiIiIiIaBKwpy0RERHRYSocS8iaTa0azqJ/7aplTeJ1OdLPz6n1ii8Um9QxEhERERHRUAxtiYiIiMYoBB3psuM1Diyz+tVW8brssuGAT17e2yP1lR59DfrZ/mtvjyQSrLMlIiIiIio1DG2JiIiICmSGoC6HTR7b3CoPb2yVC5Y3pUNTa5ja5Y/Iwd6wVHgcsulQn77+7cfPGdNxIIzNt26MA8ssrK+Qp3d0yJ5OvyybU6Ov+efubnlsS7vEmdkSEREREZUchrZEREREBTJD0EgsIR3+iEQTSXlg/aF0BWsqqA1Jhccpmw76pKbcJcuaG2VPV0D2dgXHdBwIjjGOvV0BDY+t1ba9waj86NFt8uzOTonEkxKNJ6U7EBUxRNr6whJLJGVHe5+EYgn2syUiIiIiKkEMbYmIiIgKhLYCqFJFUCqGTebVVciO9n4NbY9orNBgdEa5W5Y118iB7qD4gnENbMOxpCyoLx/TcazZ3Cr7u4OSSBoSjMRl9YZD8q4T5+nzCGz/trFVnHab9EdisvmQT0Rs0h2ISDSekGjCkGQyKYFIfMzGREREREREY4ehLREREZWszN6t6MO6dlvHmPSJHUnPWbw/AtpdHf3ictqkvT8s7f0RcTvt0htMTeiF709v75CeYEzm1pVpa4LFjRW6/rEaH/59+9O7NbCt8jglEk/I75/bq+0YsOzW1n5xO2wyp65ctrX1S184Lh6nXUKxpETiETEMkYQhkjRGtOuIiIiIiGicMbQlIiKikpXZuxWBaWtfZNheroWuG60NegJReSAU03Vfd9HSvMEtAmO8/9FN1VpB29YXEpfDrhWtoWhCXzunrkwO9YalrsIlbqcjHdhmBrDmGLI9tqPdrz1nUSGL9gU1ZU5tddBcWy5zar0auvaHY9r2oDcZk0TCEMMIyc4Ov+4XBLSopkUlLqppnQ6MLy5xprRERERERFOCfbIHQEQ0laES7oF1B+Unj2/X7/iZaCId7uegdSItfN/e7h/082j6xGLdCGx7QzHdb8/s6NLANHOftvpC8rX7N8oVv3pebn9mt9htoq0OEIb2h+NiiKG9bVH1euaRDXL8vFo5ZnaVNFZ65EBPqt8sWhcgfEaoiu94HzOQzvbYMzs65cU93dIXSUggkpCDvRH5338dlDue2yPfemirjsMXimkwi9YLUbRIiCWkLxSVF3Z1yasHfVJb5pIyl12qvE6xGSIxBrZFWbt2rVxyySXS3NwsNptN7rvvvkHPf/jDH9bHrV8XXHDBoGW6u7vlAx/4gFRXV0ttba1cffXV4vf7By2zYcMGOfPMM8Xr9cq8efPku9/97pCx3HPPPXLMMcfoMitWrJCHHnponLaaiIiIiEoFK22JiCZgBneaPkZyy/1oHO7noNlD1uwLe+TMSq10LbZPrPW4zKxyy6sH+uSfe7qkrS8iFW6HlHucUlPu1BAYAetvntkjXYGIJJMiteUu7VWL6lW0GcC/2/vC0t4XEZfdJknD0DYDs2u88tnzjtJq3Kdea9fWCeFoUtskHOoNyezaMonEkrK3yy8Pvdoq8WRSNh3ySYXbqcHqzo6AGIYh7X0hHQfaF1jFENBGE+KPJnQMzoGP3s3F/JGE/P21Tq3MtenPcakrc+n6UZGbSHVvKJr5PtNNIBCQlStXylVXXSWXXXZZ1mUQ0v7mN79J/+zxeAY9j8C2paVFHn30UYnFYvKRj3xEPvaxj8ldd92lz/f19cmqVavk3HPPlV/84hfy6quv6vsh4MVy8Oyzz8rll18uN998s7ztbW/T11566aXyr3/9S5YvXz6u+4CIiIiIJg9DWyKiMaoCHKvZ4Sc69KOpHaJmnoNbW1ItBFCRioATIWJtuVumKrNlAH63Flh62po/F9on1npc7n2pW3pDcan0OCWWSEogKtJcVyZ15R4NXn///F7Z3t4/8MrU5F2VXpccUVcuRndAvE6HeFwOmVnl0RYFvnBck9PuYFQe39ImFx/XLKs3tMi+7qBWt9riSTnYG5J93QGtmk0Yhh43TAQWT4o4bBFx2O1aqYsgelenXx83WbNbVNOaj8Usy5jMh/T5hCEd/uig149EpXd6Xi5eeOGF+pUPQtqmpuzn4JYtW+Thhx+WF198UU466SR97NZbb5WLLrpIvv/972sF75133inRaFRuv/12cbvdsmzZMlm3bp388Ic/TIe2t9xyi4bDX/jCF/Tnm266SUPgn/70pxr0EhER0fhZ+OXVBS+759sXj+tYaPqZnlfhRETjVAU4FrPDH+6Vk6USWI/Xe41HkF/MObjxUF96Eir0RYUb3zF1q/FwTDLP/2J+H8zjfPeL+3WyrlMX1csz2xNa0TpvRur3tcLjlDMWN2i7gcc2t8nOdr9E46mo02E3tJoWlaoHe4LajmBxjVcD375QTIPaJCYD8zr1vX733B5Zs6lNXtrTJb5QXCteEQxXe50a2OL1gCpbE6p0k0ZSK3O7/NFBgW2mYjscjEVDBFT3UnZPPfWUzJw5U+rq6uStb32rfPOb35T6+np97rnnntOKWTOwBVTU2u12eeGFF+Sd73ynLnPWWWdpYGs6//zz5Tvf+Y709PToerHM5z73uUHvi2Uy2zUQERER0eGFoS0R0RhWARY7O3wphH6lFKZOZGA9Xu+VGaI213q1L+p47bvMc/CuF/ZqYDunrlxDRlTcTrXzx1weoTOC1OoylyyYUS42m8jB3nBR+/HB9Yfkjuf3Skd/WENTBKzlboeGp9g/CFRRXYv3QmVspz+1nBl2JpIiDZUuWTKzSlspOOwJae8PiS/k1JA1GkvqJGTaOiEUl95gv2w91CfR5OCKV1TjIvy1JVOtFDIhyw1G4rqNpSYyEGDTYKh+RduERYsWyc6dO+X666/XylyErA6HQ1pbWzXQtXI6nTJjxgx9DvAdr7eaNWtW+jmEtvhuPmZdxlxHNpFIRL9MaMNARERERFMLQ1siojGuAizF6t3RQoD2wPpDOmnTA6GY3n5/3UVLxzy4ncjAerzeywxR0Z+0NxjVqsuWvrDMn5E6riOtFM0VeGaegzg2uzqD6apQtEiYTBj/zQ9t0Ym1aspcsqEiVVFoHXPmNiJIXbO5XTr7w7K/JyTzZpTJ37cZIoYhixori9qPT2xtlw70rfU4tfIVx3nVslmapu7rCWng6nTYtCVBqy+s/WkzI0q30yGrjp0l9/7roLZKONQb00mn4pYAtq0/qt/R/jWzUBaLJBKGfuUpopW+SL5nJw8j2+ze//73p/+NycGOO+44Wbx4sVbfnnPOOZM6NvS/vfHGGyd1DEREREQ0OgxtiYimQfXuaCFMQ2DbG4pJJJaQZ3Z0acg2lQPr8XovM0RFde3qV/tlb3dAfMG4NNeUaUhcbDhcbEUwetiCtaftSOUKjIupnMVyT+/o1PPGDP8y90HmNjps2I92cTntWjXsctglEEmFogjZd3b45eGN2d8/c2zoEys2QwKRuP7b47JLTzAuF69okm8fP0e++/BW+dvGFvEFYzpxl9dpF6wKrWNR9Wq32aTVF5IfrNmmLRVi8eRAL9nsUWau2JXB5+HviCOOkIaGBtmxY4eGtuh1297ePmiZeDwu3d3d6T64+N7W1jZoGfPn4ZbJ1UsXrrvuukEtFVBpO2/evDHYSiIiIiKaKAxtiYimQfXuaCH8QoUtgjdMwFRT7hyXKtixDqzzhYvjHY5bK3nXh3plT5dfFtRXFh0OD1cRnG0bM3vYjrS9Ra7AOF/ldeZ7ITyuLXdJb1D0/PGJaDsCa8sILONy2PT5vV2pib4aqjwakKJaGJW3qHZFpS32wb6ugCaqCHXNcWGb8L4Icw/0BGV+fYU+11jlkcZKj04E5rDZpNzl0ApeVELDxoM+OdgTFrs91S8W1bOza8qkxRfWkBaVtwhiEeiCMcL0laHt4e/AgQPS1dUls2fP1p9PO+006e3tlZdffllOPPFEfeyJJ57QCehOOeWU9DJf+cpXJBaLicvl0scwydjRRx+trRHMZR5//HH5zGc+k34vLIPH802Qhi8iIiIimroY2hKRTPcJqWh42P8I5lBhi8C2rtwzLlWwYx1Y56tSHe9w3KzkRZUoQsN5deVy/vKmosPh4SqCC6nEHWn/3lyBcb7K68z3aqr26PkCvqBNzlhSrxWs1tB3VrVH1431OW02aah2S/uhsPjDcan0OmVlc7UcO6dWX3eoN6xhrt1uS1fdPrJxIKztDen/d/SHY9JcW6b7vsMfkbl15doaIRqP6PNouYDWFRCJJ6XSY5dyt1OD2fpKj5x/7Cx54rV23U40tUU4jHVhPNpzlgnstOD3+7Vq1rR7925Zt26d9qTFF9oPvOtd79KKV/S0/eIXvyhLlizRScJg6dKl2vf2ox/9qPziF7/QYPaTn/yktlVobm7WZa644gpdz9VXXy1f+tKXZOPGjXLLLbfIj370o/T7XnvttfLmN79ZfvCDH8jFF18sd999t7z00kty2223TcJeISIiIqKJwtCWiErSRE5INRYO95AZ24JKSmxjKbVtGO5YbG1BaGqTubVl8vzuLrn7xf26zEQcH2slL/qhjvQ9h6sILqQ370j79+YKjPNVXme+V225W05cUDdo/Let3SVd/RE56AtJOJqQ9r5UL1lUuRp2u+zvCko8iV6ydun0x+S1dr8cv2CGrntOrVfbFTy/u1tafCGJxJJit+G4J3ViMLQ/wGO7OgI6DqSsixoqxGG3afXurGqvjrvNF5afPL5dJxBzoMx2oHftm5Y0yDGzq2Vbu18D3YM9IREDE405xFluF5vN0FYKqRYJ00Oq/nP6QTB69tlnp3822w1ceeWV8vOf/1w2bNggv/vd77SaFiHsqlWr5KabbhpU4XrnnXdqUIt2CXa7XUPen/zkJ+nna2pqZM2aNfKJT3xCq3HRXuGrX/2qfOxjH0svc/rpp8tdd90lN9xwg052duSRR8p9990ny5cPrqgnIiIiosMLQ1siKkkTOSHVdAyZD5e2DcMdC1Re4n52hHv7u0Myr65Mn4Px3pax2l/Drae5xiuPbWmT11r7xGm3S6XbIT9Y85r0hWI68deSmZUadI6kf2+uwDhf5XVm0Dt/RplE40nZ0tKnX2h1gDEf8oWkLxQXhx3VrihdNbR/rCSTEkmI9rWdUeGW7kBUtrb608d0zaYW6Q3GJGEY4g+jSterrRD2dwclFEtKIpEUm90u5R6H9hFGRS5C+w37e7WSF+uMJQx9f4/boWHu0tnVGhibPYDveG6vTlx20YrZ8vS2Dmnrj0iV1yUr59Vo64WX9/TohGMwHbLbmExPb3nLW7RFRi6PPPLIsOtARS4C13wwgdk//vGPvMu85z3v0S8iIiIimj4Y2hJRSZrICammY8h8OLMeC0w8ZSQN6QnFNLA9dXG9HOgJHVbHJ3W7fipY6gvHZP0Bn1abmiH1a21+OW/pTJ14q9gq6VyBcb7K68ygF4HtHc/vlY6+iE4IhtDzytMXyuzaMvFH/BqK6WRhYBdxOmzidWIiMEO6AlGJJwyJJ5LahxbH78XdXdrqoLrMKYFoQnyhmFZXh6IJKXPZtXIWQS3C3HOWzpQ1m9vl2Z2d0umPiMNhlwPdwXTQa/6+LmmslE+dc+SQ///BuWKgXUOVR1w2m24vAma0SkDFrfa7HcPU1mUTibH1AhERERERMbQlolI13pNETfeQ+XBuMWE9Fgj+EFYCKjURwk328Sl2O4db/mBvWBY1VmoA+cimFoknk1LpcIrbYdP2AgiwMamWNZQcz23IDHrRgiAaT2jICtFEUvvSfvDUBXLL49ulpTesQS0mCTPE0OrgxY2VGrJ29EdFjKQ015VrH1rZ2ZUK4g1D+sNxDXRDsYTMqS0Tt8Mu4Vhc1492BqmJxESP/0+f2JFqj1Dh1vW290d00rFDvUGt9q0tw0RpUVm7rUO3aWaVWxoqXLK7K6itF+xi01YOgUhC12k4bNp2I2HYxGE3BiqFX2cf6HuLQB3LF5rrMrAlIiIiIiITQ1siKklT5Vb8qRoyH84tJvIdi5Ecn7HuV1zsdg63vDWkRnCJpBAtCKIJQ6tcRxJSD7fNxWwDXo9esWalLSZlM4/B41vadawIYhHaIkh9w7y69IRt//3kDnlmR6cGrhVuh04Idt6xTbJmc6tW1laXuWROXZkGvcfNrZHt7f3a5mBZc41WG+/rDkpzrVfa+sI6yRh61OL9ULkbiye08nbejHINvn/06DZp7YvoNj222Z/uhbu7M679b9F7F+GyiE3DWPTyXd5cI7s7/fp8NPl6tWx1uUvfD8EtxuxHvwciIiIiIqIiMLQlIprkkPlwn8Ss2LYGc+vK5PmdI580LNexKOb4WI9Jlz8iB3tD2uM0V0BZzDEstpXGcMtbQ+qzjmzQyk6Elb7mmE4CtrixougPEYYLZYvZBrw3wuMnt7Yjw9SWBeb+uWB5k4bLPcGI+IJxOWNJvbZdMPddlz8q29tTLRRsNpucvrhBbnjbsbqNj21t0763CGGxHNpAVHtd2jqhOxiRhkqvtk6475UDEojENRBGz1vErpVepwapVS6bvGlJo27Da239WhGMytvWvrBUepwyq8qj1bvYVsNwpCpnxaZtGBAeH91UKbc81jdoUjJUy/rDcWS72j4BgfRA4S0REREREVHBGNoSEU2y6TCJWSHMilEEtrgVft6MiZs0LN8x2XjQp7fPo3ozV0BZbOVpMa00hlt+PKrS84WyCKgRZGO/oD8tglK0HEAbBGtgnRlk/+B9xw8Jss86qlEnNAtGEdjWyP97y2J9DYJaTKT2/K4uiceT4nWn1vfC7i59fsXcann1YK+2QsCEYJ0BVMg6tOctWii47HZpqvbIlkM+nUQMqakbE54lUuEpJjeLJUQrbp96rV2rYtHuAO0zIrGEJAyRYCQh/4x2SbnbJXUVLpldU6ZVtTgGjVVeDYv/9OJ+CcXiQwJZtOVA0TPC3KQkGdgSEREREVHRGNoS0ZR1uFSochKzFLMaFBW2CGxPXVQvB3onZ9Iw6zFBMOkLxvKGrMUcQzOoRDB55MxK/Tnf+TwZrTfyBcUYIyqPEWRjv1S4ndpeoDcUGxRYY7kH1rdoFe39wZhus7WKFtBDFi0JGqs8+v3nT+3U753+sOzrCmqFbAQzfcVSFbUIh9EHt8rj1InE0PsWY0Swi3EidG2o8kpjpVte2dej+8zsNxu3bF90oFtBNG7I7q6AHNlYqUFucmBCNPSkxcvQL3defYV09kf0PED6i4B5a1u/bGvrl3KXQ5x2xMaDu9biJ3OCMq/Trsv4UH1LRERERERUIIa2RDRlDVfdOBVCXbNqcROqFruDUlfhnraTmFkrRnXSsN7JmzTMGlrWlXu0d2mDpRdrvuWHG3NmUImfzZAz2/k82krakUx8hoAUrQcQhp430M7AhPWgVYRZedzRH5E6j2NIYI3lENj2BmNavYretBhHvjYLCLKxX1wOu/amRYUsItFwPClOVMs67bquQDiuwSh63SLYRRuDnmBMYvGkrDp2pqzZ1CYd/ohOymbltKcmBjPDVKwXr4klk1oxi/fEPGZJS7i7s80vNpuh1bNxzHGmzwwEwcm4jiufYDQpFe4iDxoREREREU17DG3H0VQIjGjs8bhPnOGqG8ei7cB4HU9zvQ9vbJV93QGpQtViKC7L59RM+0nMclWWTuTvVrYx5HuvYqphc523mY/v7AjIA+sOjnp7M38P0F8W4We+ScbWbG7X5RFAo4+rdb/PqfUOCqhRLYzwOTOwxrKosA1H4xJDGGoY8sjG1kHtEzI/sMC6ULVrThzmstu0Ly9CZISmqFjFBGCNVU5tV7CksVKXXbe/RwNXnYhtIMwVw6a9ZPFP/IyJzmrKnNIfTk1IFkmk2hag5+y2Vr+4dZIxI6NmFsFtUl8XjGWplDVEJzNzGEltqZBJ39+e+kDCb85URkREREREVACGtuOIfSqnJx73iTNcdeNYtB0Yr+Nprndvl18nS1o5t1bmzyjXas7pHvLnqiydyN+tYqtbC10+sx8sqnitIaf1fO4NRmX1q/2j3t7M3wNMCIZb//NNMob+rqho3dsVkN8/H9JJvSo8Dl3+LUc1aL9Ys70D+tA+vb1T14vcE+0D7n1pv+ztDsqc2jLZ2poKihG27u8Jpqtt8R0TpiE03d0Z0OpdrAstEnZ19Gv7hUA0rhOCza8v13C2vT+iwSyCVLQyQLuE53Z16kRkqNDtCEXk8S3t8tZjZmqlNiJYVMOiqhaR6axqrzgdUZ0oDFW4HqdDJwtDxS2OIYLXeCKRDm4RASOLDaAZbhZYDutBZXACZbhDzgu7hsVOh13XxdiWiIiIiIgKxdB2HLFP5fTE4z5xhqtuLHbCp4k8nq+vt1LW7+/VdS+orzysWyPkqpQttIJ2qv1uZduuzH6waLtgnreZ5zNCUfSJHe32Zv4eIFjNtx+x/GObW7W9AKpVe4yoVqoua26UnR1+nXwLVbA1ZS7dln/u7tbKXTMIvuuFfYLy3EUNFeKw26XM5ZSkEZemaq8015YNqizGZGN2u03K3Q7tR4vA9rXWPg1KF8wol65AVGbVeHWshmHTClmEt3a/Tbr6IxLclZqIDKErgljUtqK69W0rm/U9HtvcJq39YZlZ6dFQt6UvrGN2OmzaBgFtEVC9iy4K0aShj1d47OKPpKpwkwMXSpFsZbQDkNVmtmF4/RxIPe43m+gSEREREREViKHtOBqLwIimHh73iTNcdeNYTOCUeTyba71jcsu6uV5UNDZWe2RubZlcsLzpsG6NkKtSttAK2qn2u5VtuzL7wVorqzPPZ5xn29r8o97ezN8DtBpA+4Nc68XyaNuBalZ8qNDSG5QD3SF5ZFOLBKMJCUcTGtKaMSbWi3+bQTBCV8C/n97RIeEY2hzYpb0/LIZhyLlLZ+q2bW3p06AWgXCZO1Xxir63qLzVic2CMa1gPXpWldRXemTjIZ/YbTZdDuEt0lm0RKjxOMWw2SSaMDRwxWPY92jrEDcMrXTd1RmQ2bVlWpHrjyS0FQJ6zXrddjl2dqrFArYNK00mEQ4b+j7a/zbVNSGnPE/lfW4qSTWdICIiIiKiicTQdhxNxozfNPl43EvHWEzghNu6UZloTnCEEGcsbtG3nierjp015XsfF1ItW2gv11wVpaXwu1VMX91s25UreM623rHa3szfA7wXwtBc68Xy+AAB57nHZdeWAfgOkVhSyj1ODVrRPsEnoh9kbDjgS/emxXP9oZiGvD2BqMyu8UpTTbns6uzX0BWThKHiFa0TPE6bVrHWlrukOxDV6l283heKSrnHoe0M8JjZHxfviXWgTyzEE4a2UJhR6dHqZQSt7f6I3PL4dqnyOjVv7UMPW50IrUv8kag+5rTbtIoWx6C9L6LbVOl1icdpl10dAR3bkpmVOklcvirb6QLtJYiIiIiIaGIxtC3hwIimJh730lZM6IblHt3SrtWw6L2JXpmAn0d7y/rhdp4UUi2bK7DMV0FbahP7FdNXN9t25Qpic613tOdIrv033Hqt48QHFmhhsLixUp7e3qEtC9BPFpWpRzRWauUuKmNrytHyIS6zqj1is9kknkj1sUVRLEJfr7ZJMGRvd0CXa64pk+Pm1em6ls6u1v60aF2AoNfpSAW26KWL8BTjeWFXtzy+pU0nJ0M3Au0Va8ckY3YNZaXMJS6nQ1su4Gd/OKZlsvh9xThqyp1S7rZLMBqU/khqUjGEt+iT22C4ZcXcWm3JgPAYfaa7AhGxYRazHKHtdOpR6+LVIhERERHRhONlOBFNK8WEbmalJKoLO/oiEo3jtmq79utENeBUuEV/ohRSLZsrsMxXUTraycfGOvQtpq9utu3KFZhmrndra7+8fP/G9GRfnz3vKKktdxe93WhzgAnP5tdXyIYDvRp89gSjusw5S2fKxcc1Z90f1nGilQGOAcZVV+HW9g6HesOyqLFC3E6HrN3WqZOUoectlmn1hbViFROIlbmTMqvSI0sQ7g6Evwhz14fQx9mvfZwvXtGk72WOeWdHQCdhQ4WtGdhiPCfMr5VXD/m03QJ+9/C7iMAY4XEwEtdWEqiKR0BcU+6WxkqPtidAOwQEtpj07awj6+WxLe3y/K4u8ThEjp1drb17MSFZLGHI87u7tEoYgfCezqA4bQiHRZLG0FYHhQS2eI8cc5hNKfj/QCIiIiIimlgMbYloWikmdDMrJfd2+UVshr4Gs8CjMhAhFNtfFNdvdrgKT2MEx2u4UHa0oW+h2znSitZc69140KfBLXqv7mj36zI3vmN5wdtubjfOXVSNYgIwVLC+etAndjQIsBka5qJNgjnGXOvLNkFaXUUwfUzi8aSO2Ry7thho8WtvWbQXqVrglI+edUR6THhPBKrz6srl7GNmavD6k8e363uedVSjvmZ7W7909EcGnUeHfGGd3Mz6vi/u6dbet3gv0C4OaGZriNRXeeTC5U3a0uTJre16fiHYRT9etD9AdfCe7tQ+ePPCGXLKETPkD8/v1UnNUKmrazRSlfVYRzFtElABjNdgWAh9p3qHBVRLExERERHRxGJoSzTFldrt46WumMmszLDqkY2tsr8nqIEtqvHMykB63Wj6r+YLVoc7XsOFssWE9IX8js2p9cp5S2dKiy9cUHuDQn9XM/ffnS/s08B2Tl25HOwJalBazH57fbsrZf1+VLUGtP8rAkT0egVMNGbuD4zt5oe26ERgqHBdV+6Sl/f26ARgmWPNnCAN+wNBqDl2hM34fUGYisfRWgTrri5zSWOlWytb5w4EtvFkUv7w/D5tRYCWB396cX+qNYE/OiRYzjwX8L4bD/VJhz+aDvyjmJ8smZT6Cre8fWWzjhv7KZJIamj93K4u7Z/71mNmyhNb2yUST5XBPvVam445KYZW5lol44a4nDbdnwiYMc7hMtiBedKyVuhORVM9dCYiIiIimooY2hJNcWNdSXi4KyZcNCslzeCHk8uNT4/efMHqcMdruFC20JC+kKpV83cMof2nzjky5zh2dvi1LUHmuvL9rmbuPwSmuzsDGthGE4a2SChmv5nbjSrRxmqPzK0tk8Yqj7y8r0e6+lOBKKpdzf2BsT29ozNdYYrQFNW+6PmKwA5tFf7zkmOzVt5mflAUfWm/titIJJLidTu05BRh8LI5Nbpv+oKYZMwpB55LjXd/T0iXjRuGrNvfK9VlTg14rcEy2iX8c3e37Orolwq3U9538jx528pmeWxzmwa71lAxEjdkR4df7n5xv+7HCrdDA9veUExsYujEY3ifo5qqtRJ5V0dQJzZr29klBspjM+ARPI4ANlFExamGtnJ4YGZLRERERDTxGNoSTXFjUUk4nYwkXBzrScNYHS0FB6vD7fvM186u8WolqLlvcbt9vtA3W+/X3FWruX/HrOPY1xXQW/TRv/WxLW267guWN2mbg0J/V9HDFqw9bfO9ZyCS0Im8rG0GzO1edeys9HY/uP5QulUAetqaj2MbUYHaG0T/0oT0BGOSRFWpVo0a8uCGQ9pT9t0nzRv2mKA7ASb+QsWqfoXjGhyHonHZ0xnQatW5Toe0+FJhbSyZ1MnFnJhYzJGaZKwvFB8ULP/o0W2yZnObVh/7QnGt5sU4zj12ljzxWrskMkpB+8JxPQ5os1Bf6dbJxjQYThoSiafaTxw5KymtfRENbNHDNow3zgJzkWGeM6PI6BL7gWknERERERGNFENboml0uz9NHmtQ2+WPaD9NTN7E6ujRtVbIfC0CQWs1K/qj4hb9XNlZtt6vCAOzVa3m+x2zjuP1CbeM9AR2eI+mas+g3q+Z68kM86+7aGneMN/6nghsD/aGtJo03zmF0BVfmfB+G8o9+m9f0CYNlbZUqIodZ0P1alKrWrEvh/uwAef2cXNrZX93UCtrHXa7tPki+oV2CFghfgewDxCIonoVgSp+H5rryuSEubXaWgFvfdZRDRKMxuWB9QelPxyXKq9Lq14R2gKqbf/6ygF5Zmf3oDEgBEZriW1t/dLWF5HaMpe2aTDbFcQF6+jTdhGYY2ugJa7+rL1oB9aD8aHaGP1s7WbVrRSGLQWIiIiIiGg0GNoSTePAiybOoFvjD/qkptwly5obc06uhYpI9NyUgYrIi49rPmyrcUdTyZz5WlSaWqtZUVUaN6SAnrev935dUJ+aZK6Y3zHrOFDpawbB5gR2Hpdde8WeuKBuyHoKqfYdbtux3QhsR1pxn7mNCEr/a/UW6Y8k9Db/hM3Qnq+//scubVng1v7OSXnXidkDYIwf/WKrPC6pq3BpeIpgFJWyNptNgtGEJA30irWLx+PQgHtBfYWGvTMq3HLKEfU6Jvwe/PixbdIbRMwqWgGM8bT6wrqfscwP3nu8fPqP/5L1+336/tjPCEy1tUQ8KTOrPXLRitnyu2f3aEWyWQCLvrMIZ1Fpi8egwoUqYZe2bwhFE3puIEBOGgkNd4mIiIiIiCYKQ1uiKX77+ljfuk/jw3qL/YHuoPiC8byTa93x/F6t0sycjInyy6yKReVkIT1v0fsVt9Hj9ny8BmEf/n8Av1/F/o5lm8AOY1kyszLregqp9h3Pivts/38Htz+9R/ztfr3NHwHr3oG2D5jIDAHs41vas4a25us1hO4NSbsvpC0PsJ5o3BC73dDqVZvNrkFoucchC+q92rd29astWhW7sKFC14EPLjBxmbVoFdWvqPjFPjNVl3lk+dwa6Q5EZVa1V4KRhARjcWlGP1t/WO58fq/EE8mBbRk8XrsNnW4NfS4Ut0nzDI/89iNv1B66OIZ7uwNyqDck3cF4+jXsfEBEREREROONoS1NC8WGsJzci8b6fLOGanUVblk+p0YaBvp1ZptcC7fUY0Im62RMNLJ2CWs2t+cMM63L11e4tcUAqj8f3dKuwWChv/fZjvlwE9iZFdW3rd0l/ZGY1Fd4xEjKoGrfQv+/azQV97n+/w7naV25U8rdTukORiUUS+qHB2hToKFrgRP4feuhLRqIasXuQOCJkByhLapxEcJ2+cPShgnSDEN74PojcVkxp0YSSUNiGX0G8NP8GWXS0R+SW5/Yoe0SEPhiMawPbRjQagHVvFgaVbzoZYu2BwPdHtKcjtcDWENs4nba9P0Q2GIbsN9tdpuGttagloEtERERERGNN4a2NC0UG8Jyci8a6/MtW6iW64MDhHNupyNdaWtOxlSqSqkyPbMqFmND0JgrzByrFgO5/j8m3//PmBXV7f1hDURx677Ljh6vLu1/i8nECv3/rkKqga3HqbnGq0Eq+s9ubenT4DQSS8rOjn75wRqf3PnCXq36RRUqIKKtK3dpr95wNCEep0POPmZm3vczx4Tq2ed3dWn1si2RlDKXQ6IJQ5wOQ9fTVO2VQDQuLkdMJ/xCUIvjgPdvrPLo2KzVsQhf1x/olUgcMWtqu7A+VEjrsngskEiHtG576nG0yTBXY/auxRfaIyCExlbi9w6Vvuaxx/mMyeTC8WKnISMiIiIiIhodhrY0LRQbwnJyLxrr862YW+wR1r2wq0tejPborePvP3leSfcqLuXK9GL2e+bv/ewar/zvy/u1DQC89ZiZOvFVtkC62P+PQdCI9gGHelLnBr5QXep0OuXopipp7YvI2m0dY/oBkvU4IYhEYrmosVIn6MKkYwhtUamK0LMvHBeH3SYNVR6ZUeGRIxpT4W0gEtcw9YwlDbovCgnsVx07S1p6Q9rmAMG012mXeDKulcxotYBgVvpFK2KRjDpsNg1Oa8vd2pZhbm2ZVkCbPWURbKO3rcdhl0qPU8cECHYRxqIVAwJW/BurjGbpRZtI99fFT6mWGJhsDOEt+k2b/5+P7cFxCkXjcqAnpOE6ERERERHRRGBoS9NCsSEsJ/ei0Rht6I+wrjMQk6XN1fp63J5eqj2VJ7IyfbwrerO1VsDkVQgbxbBpf9ZcLROKPebYDqwPQaU/EtOJyircTplbVyaLGyvT+7GY9Q63f6zH6bXWVLiOf+/vTq1bi03FJnYxpNzt0CpWBLZ3ffTU9LozK8XNSdfMwB77DJXN1jFgEj1UtD62pV1a+0LS7Y9IKGaTMqddegIxea2tX45pqpYd7f1aPVtb7tLgGi0POvojUul1SXOtyCFfWNB91ml3iCQTEoknJRiLprcPQa052RlaHOA9c8G2IfDFpGdofYAqXATFZW6HBCNxbVmBtg4zqzxyVFOVHndMvjZcaIv1OuypSc6IiIiIiIhGg6EtTQvFhrCc3ItGY7Shf6m258gVCk5UZfp4V/Rm/t6jXQL6CVd7Xfoz+gznOhbFHnPsw/kzymVWlVc2HeqVSo9LTl44Q9r6I4P2YzHrHW7/oCUCKmwR2KLfK7YL79UbjEuZ2y6haEJbEyDrxPMIX4+cWZl13+Q6V9dsbpMWX1j3FVoNoCXCu0+ap6En1rugvkL6Q3FpqLRLU41XX4N2CWjDUOl1S7UNgbFTx/H41natcEUUunJejb52w4FeCUbjWk2bOaEYAtMKr0sqXDZp7YtqxXAueGkoltBAHv1uMQEdvvcEotLqC6f2gyHS6Y/qRIA2m02XHw7Wm2BgS0REREREY4ChLU0LDGEP7z6mpTbW0Z5vpdqeI1coOFGV6RMdZmtvYYc9XWnbWJ27t3Cxx9w8xmh/sWJunVy84vWJy3a0+7UFAb6LtBZ8vg63f7QVwED5aaXXKTVlLq1kxeRb2hcW5aboAesQaahwy+lLGuSz5x1V1Lna5gtrL+ZKr0P2dQbktrU7NbDd0tInnf6wBsFoeYAQdGa1V/ojcekLRuWlPV0amiK49rgc8o9tHdouAhOWJZOG7GwPyMXHzdZqXLRu0A60A31pnZbK1mqvQ/edDX1sEezmGXsimRSPwylhiUsoakgomtTQ1T4QvqLXLd6nNxQfOoNZDtbJyoiIiIiIiEaDoS0RTfk+psOFsqMd60SHvqXanmO4UHC8w6qJDrOx33G7P3raIozDxFv5jkUx50muielwXpotB7oCUXlia5vc/vRuaa4tk3OWztRWA5nrNN8XE4qhKhRVomgPkLl/MOkYetji+D29vUPa+iKybE61Vpai5YCnTAb6zLrkkuOa5VPnHDnsds6scmvAu7sroFW5iURS2vrD4g/HJRxPaiiLbQlEYrK9zS8GUlabTVbOrZEljZXaIuGZnV26LMbd3h/R8wg/Y9HEwFeHPywPbjgkh3wRHYMZ2oLZBgHhbXcgJvFkUiuX44mkVg/jaa/TJiFLKI2iWVQCJwxDoonB5y5WmxyomE29uvATnIEtERERERGNFYa2RIeZiQoYS+kW/sxQFrdkI3wy98H2dv+oxjrRAXUhVZuTUemcKzQtdP+MdsxjEWYXMobMZX74vuMLGme+/ZDtfXMdY/N3KxJL6ORXqEBFEIpAFpWqma8z3xdVqUgyUZlqVu7mOn6oRsWEW/idwHrRx9WwSapFQsKQF/d0yw/XvCZLZlYO2UcPrj8kdzy/V1sg4HXV5W5dzyv7ezXwdNltOjkY+vSumFOj27KzPazVtQhW0RcWLRRwDDce9GnIOrumTANbtGVA+NuLNgV9Ya3KRRKK9e7vDg0ORw0Rj9OmrRUA/Wm1ylYnGksFtsmByllMeOZFiBszdJ0OuyELG8qlpSc0pDp2+CYIRERERERE44+hLdFhZiQB40jCtFK6hT8zQH5ya7tOLGTug6Zqj45xpGMtpYB6JMd5rALeXKFpoftntOG3Ncwe6TYVMoaRjjPXfsBYb/q/zdpPFrfc11d6tC8rerdmG7/5u7W3KyCxeFJcTrtOurWvOyh3vrBPl7Eub31fh92mFazZxms9fph0C5W3GGdduUeOmVUtm1p80tIbFq871c4Awetrbf4h2//E1nZtgVBd5pTuICpbDZlbW66PIRytLXfrBGYIR1HNit85TPoViCAONSQYRaCaqsBt6wtr6wlMglbucshRMyvl/OVNEo4nxOGwaQjrddq1t2xmFSt+dths0lDl0UnLfMGoOOx2ieM9wqnA1hSOG3LRitnisNk1kMb+x79jaIxbZE8DTHQWRfkvERERERHROGJoS3SYGUnAOJKQqpRu4c8MkFFwaN0HCJFOXFBX8FgzA0FM4FRoQJ0vTBzL6thijvNYVQrnqgAuNMDPN+Zi902xVa3ZAk5zDObyqMjuC8V0oi60Fzh1cb1WuhYa0s+p9cpjm1v19eiFe9oRM7TVwcMbW+WZHR0aHKIaFtWkd/9zv8yqKdOxYHKtl/f2aJiL8Z51VKOuD69Dz1l/JCHJJPqt2qS9L6zbbd3eYj9AQdx43NwarYI1K16xj25bu0t2dvg1SD3QHdRqdYwvc/vRUiAYi0s0gXEZEk8YsqfLL2Iz5IjGCu1Ji/27uLFCX9tc65V/7u6SQ76QbrvHaZdlzTWpfrUGKl+T0heO6fZbW1CYv68IkP/4wj6JJjAp2WBoo9DlR1hr08nEXm95kMBwBvr4ik4ot7WlX848qlE+dtYRsm5/rzy/q0sW1VfIa239emwKxcCWiIiIiIgmAkNbosPMSCpgRxL0ltLkbpkhD/qQrtncnt4HCI+KGWtmILjq2Jl6u3khoW++Vg1tvpCsP5C6HRzhEp5790nzxv04j3elcKEBfr4xFxss59umfOvKNgZzeUyUhVvwK9wOCaDR6c4uaajyFlyZrb1VzUarNpu8esAnnYGY7O3ya7gI8YToccet/3NnlKf7y+7pDGp/2cwJ3q794yvy6sFeHStWP7PaMyRItfbexSBe2NWt/W2xDZhsbP6Mch0Wnj/QG9Kf8T44p619a819g3UhmMQ4s51bDRUe3VY873DY5chZlVJb5pb9PUFxOuxDfucQXHcFYjKvrlxbMSDUxde+roBW6aLiGBW1aG9w7rGzXt+fA9/RoqGyzCW94aGhbWoiMpt+MOMLRSWeSGhlbjCS6kZr9rvFmDa3+GR/d0BCqF6222VhQ4W8aUmDPr/hYN+QvrbWMRAREREREU00hrZEh5mRVMCWUquDkcgMkFE5id6fI60CzgwED/WGc07KVEyrhud3dupt7rOqvXorOZ4baWhbzHEe7+NbaICfb8zFBsv5tinfurKNARWmWB7nDG59b6zyyAzDEI/TkbU3bC6HfGFZ1FCRft/dXUFd18L6Su2dGogldCIuhPgIGhFaokLU2l/WOl7s14uPm60BcGd/WPYP9LfN3F4sh7GjALQzENHesmbwPK+uTJ5CCwCtPk2KLxiX5oEK38x9bG4nAt8Kd58uj9YiZuWvaUalW7eztTckveGY7Gj3yyfOXiJv9cyUfd0hbVWAqmWEtVgn/t0TjGqbh6aaMt0H3YGo9qJ12UUidpuUux36e/bY5jZ59aBPnt7RKbXlLtlQ7pELls2SZbOrdXIztDXIrHTFOCs8DrHb3dLeFxGvy5ausDXhR+TwXcG4/jskSdnW1i92u00nfMPxwL7Fcw67yKKGSpk7o0wDdbyOiIiIiIhoojG0JTrMjKQCtpRaHYyF0VYBjybkzNeqAbeIIxhSNmNUVXzFbGOpHN98Yy52n+fbJuu60Je10x+Rnzy+PecEYJkVpomkoRW2CGyL6ROcuQ2YUKu1L6JtAOY1VEhnf0TDRLQlQO9VTJCF/rPW/rJ43ewarwaeWDdac6DS2wxDUTlrTg5mZQbVZvCs1dzaLsAugWB0YDsrZH2oV1sZLKivTO/jzG1ZPLNStrX7dd89s6NTl/nseUfJ2m0dugxaSHT5I9IVjGl7BFTR/vrp3fL5VUdrhe3qV/ulNxSTbQP9cLE8Kpgxnr5wXGrLnLKosVJ2h2PS6ksF0YhL0cP2t8/ukd2dAUkkk9IXcmnrBQS5aNmA11dXe6TVF5boQMNa/A5hn/WHo3LUrGoJRxMaCKPC1prbZv6uIZhFa4btrf0a+uJnwGRpTTUerfjFtmw55JOWvtT+IyIiIiIimkgMbYmKNJZ9SUtFKbU6KIXjOZqQM1+rhvoKj4ZqCO4aKz1yztKZMhGmwvEtdp/n2ybruhDYIhBFiJir9y0qRVFRurihXJY3J/RWewR21jFknidoDfDolnYNZDHBGPrP4niet3Rmuk8sKlQRdGIcq46dlT4XEK4iaLxwIBQ21209Z6ztHRAeIzTNB+EuxtHRH9YJv+rKXdoGINWew6GVtmhdgPMObQow2Ze5fXjvB9Yfkp5AVB4IxaTS69SJwXyhuERiCXlmR5eIbNMAGmNCmIugFct4XHaJG4YG0o9sbJUjZlamP6RAf9yHNrTI9g6/jqPK45YKtyFet1OfRziOKmNMMuZ22qTbH9VKWVSja/sFf1Qi8YQGxN2BmE5OhorYCq9T4qG4mJ9/4NuBnoi0+jr03wOdKHIyl8HvIdYfsyxvF0N6Q3F5YVeX/P21dh1bPkXOYUZERERERFQwhrZERRqrSZ2mg6kQcOc6niM9pvlaNZy5pEGDItwGfjhUNJdqsGxdFypsEdgO1/sWIarZCsE8Z/HdPGczzxOzgjoSS2qri2g8IYnNMqRPbDFtO8zwD89j3XPryuT5nV1y94v79XFryJr5O5VqB2BIlcel73H0rCqZXVumATRaJJjnHcLjzN9DrAuBLfZTOBqX9v6IBqqo0q0rd0tNuVNbHKDnLLZX+9I67dqXNhRNhacOp0172uL9UCmLydgw6Rie84djEooldSIyCETjsnZ7h36Icczsamn3hcUfjWvYHU+kElRsDv6F4xJPRFM9gXVCMf0fDYwR7Foraa3hayYtpB14DV4LToS2Ga0PsAp/KC4v7+vNva6BpBbLMrAlIiIiIqLxwtCWqEjjPanT4WQqBNzjfTynQpXr4azQ3reoCkWlKCpmrZN1oeoVISiCU1Sdnrq4Xg70hCQ2MEkXJhlDqwssj76z1oA18wOKXOfCg+sPyR3P79XgF1WxS5uqNPhEOw1UzaZaDrSml8/2O4VqYrQcMLcFbQvQSgEVsOhRi965qAQ2g1+z/QL2z5xar1a8hqIJ8UdQXYt2ATatQkXjgrpyjy6DXrkIqLG9qOSdW1cuW1r7JJkUOXFBrZS5ndIViKRn/8L+Qs9Y9PXt6I9IfziuYbdh2GVba5/Mm1Euc2vL9TWRuKFjNqtkzWAU/xOKpdaH4NlmiLjsNq0a7h+YbKwQlvnhpKHKreFwfzihwWumYQp1B4XFRERERERE44WhLVGRpvqkXRNpKgTcPJ6Hd8V2ob1v93UHs07W9fiWdq3uPNQb0q+dHQGtgP23U+dLudupQS8qTBFKIjidN6MsHbAWGtY/sbVdw9DqMmcqFB0IPdFSAD1d0RMWk3bhvRGmZvudQqj62ObWdIVrtdelfWBRIYsq0zKPQytkEUDDA+tbpCcYkfuDMTl10Qw59Yh6eXRza6o1AXq+Omzad9dlt+tEYOjxev1fXtVgGe+N0PSIhgrtr4u+t73BmPaDdWByMaddyj1OXVcwHNcgGO0UnA6blDkd+m+0VECfWwS9kYShATEmE9PjPZDcImfFeBGcGwOVscmBidBQUXywJ6jbqu9rt+nvb64w1Zy7DFvfG4jpctVep+5bsz8uERERERFRKWFoS1SkUpnUaSoYaSA6kW0VxvN4lmp7iMxxmb1XS22cY1Gxje3I1fLAeuxROYuqUFRgWifrQmUows1AJKYTVwWjcekLx8Rpt+sYzHWjwhaB7amL6rVSN9sHFHnPB5SQal1pUtsT1Ja7pMLjFH84nKpSjSR0IrITF9TpPkA17Z5Ov+ztDMiWlj4NfM0er6hwdVW4NTw1DEPsCGoNtEcIpfvOYpsQtGLZF3Z3y8ffvFgn8Fq3v0crYlF1a7MlJTwQpKLtwQXLm/Q4oI8tfp9RnYuguqbcpUH38jk1uv9QkYtJwxC+zih36SRjqI7tD8fEr/0IjNSEaWix4Ey1gdjVERCP0yGVXpe+H8JrvB6BLJat9jpk8cwqXR7vg766CLLRc1ZbNIhIhS0V+Gb2tB0ostWgFpW2OI5YZ1WZS5JGUrqDGT0ShsE+tkRERERENBEY2hIVibe7j38gOpFtFcbzeJZqe4jMcb28tyc9yVSucSIw/NGj27Ry88iZlToxFoK8Uq3YtgakmMjqYG9IQ1BrywM8hwrV2TVeDT73dQVkTl35oMm6UO3687/v1JDS63RIVZlTyt0O7b9qPX+wHFocPL61TVscoH9xoecD2hagChZVvm6HXQNIhKAIhx0Ou8ys8WqrA3zhdwjj/92ze3QCNYSHaKWAIBXtBs5ZMkue3t6hk4gh1EToGY4mtCIVy6AquKHKkw5s0ZcW68X2IJRFVfFLe7p0vZVuJ9rHypNb2+XdJ80b8vuM90cf3GXNjXpcGio9Ojb00EUg29oX1gB1xdxq2dnul6TYxJCYBKNJrcRF+Inl0X5hxRynhsoIn6NxQwKe+EC4atO2CTjXPnDK/HTQjV7FCxsqtEXD+gM92kai3OPQ6mBfOD5ov2vl8EA/W1Tcag9eu0h/KC6+UELHgYnQ0KLBPtCaIZ4nlWVhLhERERERTQSGtkQ0bkYaiOYK6caycnUiqmCLDRsnqjI3c1wIYtF3NN84Edj+bWOrVlAirIMb37FcSrVi2xqQbjzok9oylyxrrtF1oOUBwjs8h5YCKL9ET1p8R4B3zZlHpPc9jsmrB33a6xZVnIZh01A2cwzmRGDKMNI9VAs5Hy4+rjk9QRnCY2NgVQgj0S/2mKZqiSUMbUWAMWFZBKJ4DMvFE3GJJezSE4jpeusq3PqarkBUl2nrC+l4jptbq2NHAPqmJQ3a1gCBLZa3fqiyrysVBuOc8EdSrQSy/T6jL+5rbf4hxwWPYTvb+yIavKJNA/rWomXDO1Y2y/O7u9KTpeH9se/jyaSs3daZnqxsdk2Z7I4FdPt1MrNoXH799G4NxxEgm+cE3gdtKqDS4xS7DWF3fEglLLZf++Sm5jPTgByhuNk2AYGtHjoNcO0SzzerGREREVGJWPjl1ZM9BCIaRwxtiajk5ArpRlq5mi0MnYgq2GLDxomqzM0cFypnUWmbb5wIdhHYohIVvUTx81jKF1iPpGLbGpCiitUXjKW3D1WX5nPoAQuLGyu1L+qSxsoh+/y4uTUakrb5wtJU7dX+rpljsE4Ehvc51JuqxC3kfLC2cEBoi6pgBJkImefUlmkFq3W7sW0YK4JIDR0R3CYNbTOA8WNZhJuPbmmXRY0VqQVsNu0fi/fFxGarli3W98u2T7EdOB42m6FVx6gEzsZ6XJprvfqee7uD0lTt0WC4JxDV7Yl1B7USFkEtWkc0VHrl4hVN6f2M8Pfh9a26PHoLa0Xx0lnaA3d3R0CPVbXHpS0THtuMSma7rtcfjsmOtpC2aUD/XITWCHgzA1tUzzrR+iJpiN0ukhgIglFVnCkVmDOwJSIiIiKiycfQlmiKKNX+qOMhV0g30onNrGHohgO92g4AoSMmP8rXg3S0x6m5xiurjp2pAZ4Zault3TmO31hN3DbcuZK5f82etvlCUQS7qLBFYIuwCz+PpXyBtbXCs9DfA2tAitvvlzfXpMNPM9DEc2hHgEAzV2CN91qzuV3fY1ZNmVxkCRtzvZ+5HnOsONcw4RXaMyDQRCiJqllzP2O5mx/aopWvVV70pjUkHk9qYItlF2RsJ84rTPhl9rBFmN5cWybHz6uVT51zpD6G88w8lxJJQ1sMmIGu9fgaWY4BwlWErmgRcfYxqcA223lrHhdz/E/v6NRevNjf6L2L7QhE47o+tGKYVeXVMWT+LmD/ILBFqwVUDqNC96V9PRruYuytvpD2w+2PxGVLa5+2LkBP3u1t/tSkZgMTlWHSNluOnrO6XIFZbGhwd4VBsK+1wrmwVREREREREY0YQ1uiKaJU+6NOZFuFYipXreHe1pY+7Y2JAAv9Pvd0oprPKft7cCt2l4ZDhU6SVuxxQkUhgjRUEw53/EY6cdtwY8h8r2z7d7hzCT1swdrTdiwVGlgX+nuQLfg3w0acG6jWxHNnHdmgQSF6umYLrAsdV7b3M8fa6Q/L/u6Q9nptqPJqoGkdM5ZD4IlgE2EgWjlgUjRUPyPIRLsB63aiwhbhqD8S1161CGwXNVRqxakZhCLYNc8lhIzWylbIdj5at9WsOsZ+ylzOOrEb3gt9af+xvUP7HmMys9ryqOxor9LzZNtAqwScz+cunanrQ6uJAwPVxPgQBQHu7q6AHgeE1Ihc+0JxmVUlcsysKunsj+iEY4hKMUlbJN4rlV6nTrKmE63ZbNruALLlsngMbRbGYgIxBMMMbImIiIiI6LAPbdeuXSvf+9735OWXX5aWlhb561//Kpdeemne1zz11FPyuc99TjZt2iTz5s2TG264QT784Q9P2JiJJstYVWFOZfluk8+swESQlKqQTN2Sjaq/lt6QhkM1XpectHCGiHTrjPUItAqdJK3Q44Rb1Z/f2SV3v7hfH0eV6nDHb6QTt03EuYLKS/SwNffzHc/tHdOK70ID60K3zVoFivH+95M7NNTEJGIIOq3VrvnGX+i4MoNwvC/Cyb1dfg36cHs+AkuMPXPM2CaEsL1B0eDWJyKzqr05+zqjJy8qR09eOEN7xaJPbSKJ4LRT6spdsqHCLRcub9LzOte5lG0/Zm4rKmKxDbs7+wf6+yblkY2t6UplM8g1J/lCX9ikkZT2vqTu68zzGb+TD6w/JJsO+aRfJwsztGK4JxjT7wiosZ8aq9zidDjE5bRLZyCmk4uhVYLTbteguicY1f2AMBrhdjSe0Pdx2kRieRJV61Pob2tWKheDjROIiIiIiGhahLaBQEBWrlwpV111lVx22WXDLr979265+OKL5eMf/7jceeed8vjjj8s111wjs2fPlvPPP39Cxkw0WcaqCnMiZbuVHUba5iHfxGaZFZjWvqW4xfpAd1B8obiGdf5wXF7a061Vj5kViMVuT+bYzeOEwBaVvPNmlOm4cFs8jlu+4zfSidsm8lwZy77C2Vo2INxG4IfvqAbNXG5OrVcnD0MvWrQ2QKVsIePt7A/r8ajwOLS/KqpeMytYsxlpkI733dcTlNbesITiCa0GnVnlkd0dfonFk4O2DftjQ7lHX+cL2uSMJfWyYk5NuoUDqk5f3NMtV/zqeQ01OwMR8QXj4gv5tOfsijlVWqmL8LI3NY+X7OzA62Lywu4uqXA7JRCJyzvfMDe9L7OdI2iTYbYOQZUsQlZ84NHmi0ggim0Q6fJH5LW2fqkpd6Vbi6CVg82WCqUBATRC/szzGVXAaIOAolgE2bva/WK323W9OJaonkUYjePjcRkaYOM88zjtUuVxSTSR0OC2tswplV6XhKJxDX+jWLkhEpMiWALbsajAJSIiIiIiOqxC2wsvvFC/CvWLX/xCFi1aJD/4wQ/056VLl8rTTz8tP/rRjxja0mFvrKowJ1K2gA/Go81DZuUggiQzJEVFHm4hR+Xe3Noynb1+JBW2hQSWZvC1+ZBPA8KT5tdJa39Ew2LcFj8Rx288z5V8la75gtlCWzaYt+1nawsAqOjU/gBgs6V+LmC8OPapfqRJ/Y7b/xHkmpXQuT48GGmQjvdFL1e3yyGxZFKDyhZfSANITOaGbTS3LdfxMls4ILDFxFt4LapSG6s8snJerezp8mvf2Qq3Q3vWIljFF2w86JN1+3tTbQMMkZ//faf21DW3BefpC7u65MU9PVLuQfVxXCf5QkuGGRVueWV/rzy7s1PDUY/LJv6oocFsfyQhCSMqfVopm2otct7SmdJQ5dGevDjP6yrcOtmZFc4NBL7aBiEpUl3mlEgsqeNDT9rAQDU3gltUQkfjhqw/0Kuh9MkL6+Tl/T2yqz0s2Lz+CCYeS0h/JKnbrZOLFZu6WpJaBrZERERERFSKplRP2+eee07OPffcQY8hrP3MZz4zaWMimihjVYU5kbIFfAhIxqPNQ2blIIIkM/SyTj6Vbfb60WxPJkzoheALVZWo7DQnVMKt+GN1/IarWh3rc8X6fgjeUAmZrYo3XzBbaFuD4ZY75AvLooaK9PPoRVvIeYHqVkyghiAdlda7OwMaDs6s9sgD61sGjXUs4H1R6YqAWDxObR2AYDGWTPVhxTEyty3X8TIfQ4WtGfYGov1aeetx2WVBfaWcv7xJPyTARF2otEXYOavaI6FoQt8HgS7OfWyrdV/iPH31UJ9WqiIEveuFfTK7pkza/RE51JOqSsd79AZj+qGHa6BFQerfaEmQlF0dASlzOWRnh18rg4+bWyP7ukN6jqze0KJfmPytvtKt1dN4DqFumy8s8aRNx4j83YtQOGJIXyQ1A1iZ26GVtwiSm2vK5AsXHCPvv+05nUgMWWsgakhAEuncFSFwsRDa25IIolPrjLHvARERERERlZgpFdq2trbKrFmzBj2Gn/v6+iQUCklZWdmQ10QiEf0yYVmi6aKQ2/nHU67b9Mfj1v18E09lTj410urTQtoOmKHjqYvrRXaOrKJ3ONZwdMMBn4Z29ZWecTvG1vfDbfZzass0jMvcj/kC13z7rtBQeLj1ZGOOD+0CMFEWQsyNh/rk1YM+8aAJqoj0BCPDfniAMT64/pA8urlN2vrD0lTllXOPnSVvW9mcdX/jfXFcUH2aMAwpc9k1IO7oi+jYEbgWeu6jVQHaRRzsCWp7hKObqjSERh6M8BTbVFXm0lDY7URfXFSgRjWo9UdSbQ3QzsD6fmiB0NGPytWk/l4EonEdb3cwqr1esWdcTptWvqLfLJbDeyF8RV9ZVDgj8MT5F4olZFdnUM9zVNg+ubVNOvwRCWlVrqHnCiqn0TZh1dJZ8pdXDurPeD2C2GAkFZ5ipVh3Xxi9h52psFlbJKRaWmB7HQ67hPGigeAV7RSslbJYppCqW4TPgFAdrRqIiIiIiIhKzZQKbUfi5ptvlhtvvHGyh0E0KUbaf3QibtMf61v3h6suLab6NFfYXUjbATNUPNATKrpnbiFjyAxHn97RIXs6/bJsTs2Y9pi1ygxjEcJ96pwjc257ZqCK90IAh0ANYeOqY2cO2neFhsKpyadS60H7C1RT4/l825LtuKO3Kt4HwSH6pvYEYtLpj+jjufaFTr72/F7Z1xWQENpudAbkUF9YA89s+xuvv+6ipfo6TOaFCm9sF6BFxwXLCw/yP3veUfrd7DV7TFOVPLWtU/cXqsfRLxk9cxHeelypVgk9oZhW50YSSa2SfdPihkHvhypgBKE4Lgh2+0PxVCuFAQh6EcwisL3mzEWypaVftrb2S6svJP2RuFbbYkKwSDwpB7qCejzQaqK2zKXHvtrr0nWHIwkNeqGtLyKPbGrV8Bw5KQJoRK7a0MHA+xli2GzagxrHBT8/v6tT3vzdJzSIRjVsPPn6GB32VOgLLntqkjC33S4uh00qUVGN0DqcaheRq5AWlclERERERESlaEqFtk1NTdLW1jboMfxcXV2dtcoWrrvuOvnc5z43qNJ23rx54z5WolJQ6C3p42W4276nWthdSPA7Vv1kM8eAsBI9UjOrUXH7OoKyYo9xMYG+NYzF++YKOPFvBHVPbm1PBbSJZLpCFYEnbt93Ox3pPrToX4vt2drSp0HbcKEwxrxmc7uOGcEgAlO8t9kHt9APJ3Tirwq3/tsnov2OD/aGNcTN9XqME+NHdSeqMxE44ud8+9s8X7BfMHYse+FAWJuvGjpbCH3jO5ann8e+t/5eo+XAqYtmyGNb2rSyNZEwdHzzZqRCc1SxorUC3tNc9+aWvoHevnYxDJsug/MrkkhIKJrqg4seuKceUS+vHvDJC7u79X2qvC6tbO30R7W/LApkO/xR8YXjcvSsSp0gDu0nsJ80XE8aWi1bhYpdu10rcJG7IkRFuworrM+eTGqlbyKZTFfQdvRHxWZHyCv6nNueGiv67eJcQQCN6lwNieNJQZeFvkgqrMXUaGjrkPleJk5CRkREREREpWpKhbannXaaPPTQQ4Mee/TRR/XxXDwej34RTUfF3kpOucPuQitTR9NP1voemUHm41vatToxsxoVge3B3lDRx7iYQN8aRCOwxftlCzix7QhSUbyIdSNgRbj2xNZ2bQuAyafwHRNeoT2BOXEVqkFRKYqgL9c2YN+gYnVvl1/HjPWaYy72wwlsDwJl7NNZ1V6t7MREZflej2OOwBmTZqEdAKpSyz1OmV3jzXr8rOdIsedEvkDdnNALE40d6AlKXblH+yVjn2GfYlzBSFySYtMgUwybNFanqpat68Zx7AsnpNKTmqRtRoVLuvxRERu2UWR2jUc+9dZUcI5JzLTyVURqypxy9Kwq6ezvSLVQGGgvgKpXBLGo2kUCjJAUISuqfRGNoqIV7ShwvN0O9NFNpKtkrRDKSkaQas47h2OF88sXjMnCBvSpToXTZiU3KqAzA1hUDFd5HNq7F1l0Jp3XbuCLbW2JiIiIiKiUTGpo6/f7ZceOHemfd+/eLevWrZMZM2bI/PnztUr24MGDcscdd+jzH//4x+WnP/2pfPGLX5SrrrpKnnjiCfnzn/8sq1evnsStICpdY1X1eTj01x1t2F1sq4littdc1ryNfv6Mcv2OklQzyETVYrYWBeZriz3GxQT61tARVZ5dgaiGeHu7AjrmXK0bBgWgtoE4zWZIa39Ytnf400FgtRfhZ5ksaazM2hLB3DcbD/k0qFsf6pXGSo+sOnZW1m1BkGpW8eaaqA2hrxmCH+jwazKYLzQ2q4jveG6P7OkOaisCtAAwA0XIrCjG8u8+qfg7OzL3IfrxmtuDwHZ/T1CqPE7Z3uaXcndQ2yNUl7lkUWOlvmZbW78c7A1qxSzG+f43zpOzjmrUdaCFAfZ7fYVHq7QxMVtjlUdqytzidTokEE3IxStmyOfPP1pqy916vNGLtjeIXrkJwZm/Yk6tlLmdEo6nJinDMcS2vtbSp6HrjAq3TiqGwBRtCtCyIRhN6qRlmGSsJxAVSyeGrFWv1n/jOCH6xeRkeBz9eX3BuLT4QuJ1pgLibIEtlrXjmCIwdjkkOlB9mw1OD7SCCMUH98glIiIiIiKalqHtSy+9JGeffXb6Z7ONwZVXXim//e1vpaWlRfbt25d+ftGiRRrQfvazn5VbbrlF5s6dK7/+9a/l/PPPn5TxE5W60VR9Fmu4kHKy++uONuy+be2uoqo5i9lec1lUkSKMaq4p0+DWSBrpIBOhGPqXZoasIz3GIw30cWwf29yqt7mjihPhMsZvjiFbGNxY5dbAFWFvuduhgSsCUjMI7BeRj5yRvfevdd9EY0mZWePVUHRe3etjztwWVNEOt++twSgqbdEHNltobMJ+RgB7yBeWnR2pal9s46HecHqZzIpitIkYSWibuQ/RA3b1q/06XlTYoroawSL6ySLYX7O5TfvcIkjFazBhGdLkY5ur9fWY1Gvttg55YH2LBp3tfRE9DqhSnVnt1T7DODaLGipSE37ZbXLHc3t1HM01Xq3mBV/QJmcsqU+91pHqHYsQ3QxY8a+4YWjrBDxYW+aUcBQ9c5O6fDAa1zEjhDUrXK0Baa5/Y764plqvXLRitqzb3ysbDvpS1cS6HrtW+mq1rO31Sl1zHam2CAhrbTlbIei+RGsG7bBLRERERERUGiY1tH3LW96iE43kguA222teeeWVcR4ZERVruJBysvvrFiNbEFpsq4litte6LKpI93T5ZUF95aBJzBCK49bwsaqaHk3Yi6rXcDwhXpdTx/WIpdo2WxiMClRUbZa7UxWoM6s8GvBZg0CzEjQz9Lfum1eCvdLRH9YQsqHKk3NbUB2KQBGTVyHstY4v2/FEtWi2CeOyfRCh/XAP+HQCOLOfMJZLr9tSUTzSADBzH2ICMrSjwD5ASwS0B8DP2IMIXfH+CEPffWKTvgYhLCpMrecextITjOh60aYAvWZXzKmR4+fVyo52f3r5zIntzj66QebUejVwPWNJjU6K9qNHt0komhgITVMQ9KJSF20INJA10NPYEJvNppOWuVERG09KbyiqL0I7hVTf4+F7ymJsRzRUarWsPxIfOHNSr0OFbXo5I3uPWvTKLaRzLdsjEBERERFRKZlSPW2JqHRZwzVUIiIoywy7pnJ/3WIrUwudvMu6LG7ZRxUqqkjPH5iwqtCQdTTtJ4p5LR6/YHmT/PrpkFaTIp3D7fpmtW22caI6FVWcZohYX+mRU46oH7Qvc4X+1n2D/qiozDX7+ForfK3bgX7A2kohltQJrKzjK+Z4ZhsTlnt5b48Gm+jv+tKebnnvL57VYDHV2xU38osex3OWzixo/2fbxxiruT072/2yrzso+7oC4gvFZW5dmVa77o4F9LxCOHpEoz193O59ab/89tk98tLebq1I3dner+0PdnUEdP0I0LEPKz2pSwAEodhHqMLtCcSkrvz1ie3WbuvUyli0UGjti2jFLvrSLm6okL3dQe2bi37EiEvR6xdheV2FW6teMS6MtT+ECtuE/uweqM41kiIJm6WNgS01YVgsbgwJT7Ff93UHpD8cky0tPu2Fm9rLg5mv4+RiRERERER0OGBoS0RjwhpSImDCbdtO5+Cwq1T6645ErtDUDNZQregLxbS36JEzK7VytJDJuzL3Dfq0jqTf72jaTxT7Woxv9YYW6egLa7Vle39Ef8417szAHhNn5WtXYK1Mtu4btDBAOLpgRrk8v7tL+7Oay+B9ze1AcGhOToXev6gCRV/YYiuNzTHNrS0b9H4ILVGJigD5uV3dEo7FtcUCeqKih+vy5mq9lT/bOZ4tIDePQWZovnrDIfnNs3u0jy2qetHOAL1oD/aE5ORFdToR2qsHfLq9nYGIVjSjHQMCU4SpCGAxrp3tAXE6sC3oLZvq6xpLGtraoq0vrL+vCHBRwYuQFeHp09s79HzG43NnlA86Ljh+r7WlqnPx2gqPUwNbj8OmAbBW2xqGVHqdsmx2jUQS2OY2DW7RpKDK6xR/FP82BgJftMlIavUvMu9k1n63Nv0dws05ZoWvNZx1DrwOL2VgS0REREREhwOGtkQ0JqzhWrbbs0fbX7dUJzIzg8LO/rDs7wnJvBllsq3Nr89ZJ+8yb2/P1iphLHoPj6b9RLGvxXibarzy7K64hAduk0dVpxkaZioksM9ViW2tOr35oS3y9I5O2XTIJ/5wXPv+Yt8DlrFuB5YJRCL6ur5wXI9PvsnJsp1jaAuAMSGw3d8dknl1ZfLA+kMaBh/qDUkgGpf4wIxaCBMNm0g4npRWX1jXgXUV0tsZsoXmj29pl/3dQQ1e8Z5obpA0wtpi4p+7e3QCN0yGVul1yKHukNy2dme6hQbW5bKnxhVPYiI7m1R7PRrIuux2mVNTpr+j29v6dbtReXv07Go5oqFCw9p9XV064RfaLqDCFxDQ4ne7udYr5y2dqec7+u1isjNMYIZ9sqW1T5LJuAQHeum29UckFI2ne9NGEkmJJWxS7XGI3WaIy+nUiuXdndjOpIbEeI/+aFKraRHA1lWkevgiiEZU67AZWv2L7cN3nH/WVg1ERERERESHA4a2RDQm4ag1eEQ4hhBqLFshYEwIzDDz/AOhmN6ift1FSyc9uDWDQpfTrrd+4zZ+/GwNPieiNcRo3qPY1+Icae0L623uCMsQBKJSMtfEW4WE0sMFuzj+qLREuLi7KyA1XpecurheDvSE0vvauh2ozJxZ7ZFZmGgrkZQuf3TYauLMQBXBJHrdosIWgS3e75ntnbKro1+3G4Gh14mJsFLhKKpGUQ28qzMg4VcPidth1/d+14nzcrYRQX9gBPqo2jW3B1XB+B1C9Tb2K/YvesMivNXJx1Cjahha1RqKobI1luoxHLbr+JuqPRqmh3F8kugrKxJOGDrZGPrCYllU2HYHo1pdi7YFmFiurCugld4Y47I51ekxYkI8fGEjEfSu2dyu+wX9bXEufP3+jfK3ja3a9xbJabnHMTBJWUJbM3QFIlol3FBZpkEvqn3xnuit63WJhtCLGyul0x8WfySh7RviRlTbIpR5HHL2MTOlpTesoXDSSAW2gLx8oFB30ARkREREREREhwOGtkQ0ZrfZm8zADeETKvEwkRJCqNFUxyJIQmBrBlzP7Oga0qd0MqpyzaAQ1YGYqR4hXWbwORGtIUbzHuayZouHHcMcL+zbFl84dXu6Tv5k02BxJLlZ5rH66FlHZH1PPI/b8I9uqkqHjc/v7NL+qea+xnhRkYrwuLrMqaEf2iMgIETPVATr+aqJM9sh/OWVg/L+k+fJu94wR4NKBKoIZP2RpE6khfwUk2zNqvboeV7ucWlwae4XBKGolrWGtoPaiKCCFRN1OWwaZsrOLmmo8uq6Vr/aLxWe1H7AOaVVqTYEnOjtixBXtNoZrSmiWu1rk8Yqr64Llb4up0P3F5ZFmIyQF31ty9wODdyDsYTue/w8v75cJ3jDeYv9Z1YYWydpw75xZtl/OHYPbWzVymezq4EvjNYHGDdqg1PjxT4LRkMaIjsddh2n0+HQFg8ep0N8wbC2VUAo3Z1I6uMIetGaoTcY1wrc2bVeaekJpUNbfb8ck48VApW82I/m+oiIiIiIiEoJQ1uiUSjVW/Yn6zb7zMrKVMVtvwatmS0Dit2HeO6BgcAW1YI15c6cY0tV5bZITzAi9wfHtyo3M6BGv1P0/CxmErGxMJr3GHy8UpWf6FkK2daJY4XWBAgCt7X1a2CLXqgjmXir0A8JzLATQS0CQty6j0m5ls+pSe9rbAdCzbghMreuXENRVIgidETwieA1XzVx+j0s7RAwNrPiFufbU1vbNCA0b8ePJAxZMqtKA2L0ZD3YE5RQbCC+NBBnp85x9KdFgItq2YZKt4azZhsR9OgV6dLwEu+DDzlwDE5f3KCpYiAc14nHEM5iMrb+cELOWFKvbQlC0YT0hWLS7o+83srAZpPacpeGoNgGvBeqbzGR2N4uv9jFJkc0VEqHP6wfhGB/Yp1l7qQ8vKlNLlg2K7291onirNXYjVVu+dr9G+WJre0aVGfmnvhVw/agnzCqo3vDcYnHk1LmRr/hpIbG2F9Ou1e3CeHzQKcJQdddhLonzJ8hR82q0vdExXE4mtTnMo0mc8X4EkxtiYiIiGgMLPzy6oKX3fPti8d1LHR4YGhLNMlVqaVmLG/lLyQALnQfIjhC+IoKWwS2deWenGNDpShuy0bwBeiDmqsqdyLC0skM94t570IDe/McWVBfoaHkvLpyOX9504gqiHGs0G8WVbAIMTMnDDO3ARWgDp1gK67Vl6cfUa8TaaGS1ro91m1AILekMTXpGdaB1hX5KpHNx6ztEFBdi6riT51zpD736OY22dziS9+Oj5AeVb8IkNFSoC8UFUPiWsHZWO3RW/ux/3/37B6tvEWQi8eveVO9LG6s0HM/tR1eDUrN8BwfcuDxmVVeufj01L7FejKD1J2dQZldW6atDZprytJVtE1V5VrVig84sF5MjLd2W4e2Y8B6MT4EoQhK0ZYA+wYRMz7oQO9afPBg5KnkfmFXtzy6pU3DcKzDuqzbjonB0CbEoZXbaKOBENZmFz3G6AOMKleUI2P/HdNUJXs6A9r+AvkpPgzAscPPCOHx/0MNFS5dR/ZJyvIHtzg7sk1QhsdQMZ01CSYiIiIiIppkDG2JJrkqdaINF+KN5a38hQTAhe5DjBHVspnBVTYIilC5h/6X6AWK72NxbEYavk5muF/Mexca2FvPEfRAzbcfhttnOFZoDYB+wGgvgWrlbNvw6JZ2De0i8YT09UTl+V0yqDWCCbf2P7a5VV5r7dOesmcd2TDoeaPAAF7D1J7QkP1wxSnz5L+fiko3KlsTqX6xWK65rkzPYVTSIixdOrs6fY7etnaXVsli0jBAr1fsO7SCMPej9XzO9juY7cOBzOOAABXhMHrcvnqwT8NhtHcwQ+tUwGpoYHqwN6hpJ6pcEdgiHMW4fEGbHpNs54z1/RFs45h5nU7pCaY+HAG0cJhV65UKt1NDYYS0/ijaHgxM1jbQkgCtD1BlvLmlTwPauJHqj2weIwTIGGdHf0SOnFmplcaN1V4dG/remsthGbtdxIY2CUhv0e4gmWp5gPGVuRw6EVsgmiXtVYU3V3Bi4rOMgJqIiIiIiGi8MLQlGoWJmGBqokO8sbyVH6ESgiLcFo4qSVRLIjyyhnbF7MNCx1Zd5tJJqHoHwiTUEI7VZGgjCV8nM9wv5r0LDeyLOUeG22c4VvNmlGlwiHMFlZe5tgGtMdACAGFfZmsEE4LB9OxU2su1sHEU2pP50hPmSrnbKas3tMiW1j7dF8FIXHvCPrKpRYPiK09fOKSPLR63Vtpi/+baj+bjZuCN0Ddb4J35+p88vl3m11dIc22ZHmv05jW3JbPaNymGNNd4xeF2aGsHpJ6VHoc013pla2ufPpY50ZsVglStkvaHB+9/m8hZSxp14rc93QGpRpuGSHxQIItjgoAe7RFgf3dQAuHXg188jA9dZlS4pbHKoxW3+P8OVOMi4EV7CVTIoq0Dwlj0Ftbw1iaSTKQqaHEGYFltoxGMicOWzNq7NjWxW2GwKP5/jN0UiIiIiIhoIjC0pcPCZN1+PhETTE1GiDdW+xOvQRiHkAPviWpJVPRZg6ax3ocYO3p8olIPfT3x/U1HNuRc73i0D5jIcH+48Wd771yvGY/eu8PtM4R/aAWAKlrclp9tEjRzG/Z2BTSAXzm3Vjwu+5DWCHDIF5ZFDRXp90Nrg2zjMN8n234briczvhDkdgYien6j+jeE6k/P4KA424cXCBPRMgHtCqzvb7YvsI7HDJqxb1A9jNYGF1jaUGQeQ7PKGFW9WmV8VEN6ma0tfRKOJ9LVvqjGRRiK0BLhqT1pyOwaj7idDglE44MmRst2znzkjIWyo71fw1UrbPsLu7ulOxDV9cTiRqoidqBK1QrhbDCa1JYOqMo1hkwSZpNNB33S6cd+tkmN16Whc125UydZC0aDYgxMf4b/tbZOwH5OJJISiSEwzh3MmmFyoRjYEhERERHRRGFoS4eFybr9fCImmBprhQSIY7k/hwvtxnofYuwIo+p0oqqYnLGkIe8kZOPRPiBTrmB6LMLx4caf7b1He3yLGfdw+8wc3yMbWzXxQxUtxmYdk7mM2Y8VE58NN5kY3i8QiWvghwrULn9Ef049npB1+3tl9astGuxvKPcM2QfYRrwfJu5aWF+poaH13MUHA5isDLfgoz0AKrvPXzZ7UFBswr5B5a21+tac9M08BujXjInCrMfEWmGMsBJhrLlvUHl6x/N7taUBglb8rCxVxq8e8ElnIKbrONATlHA0ITGdQc0m9VUe6Q/FJBhJiBf9hBNJDbJRpYsgusLjELvNphOY4fGX926Rg71hfdwcb38kIW67TaKW5BP/wj5PtTBIBbapdgevs1ar4lt64jaLhGHIa639EksmNQhGCH38vDqpr3Rrn94qr1N2daSC9GywRnRE6Asl0uvQSlxjcEMEhMOF19oSERERERFNHIa2dFiYir1lJ0shla1juT8nsoWEGbQhoMLYMUFTtmpMq2IqMEdSFZwv4ByLcDzbRF7Dhap4XPvDxtBbNaD7rJDA2FyvuY9xK36hrQZy7TMztMeYnM7s55y5TLbJuLK9n1nV2tkfkVZfSBY2VOq5N2fgfECo+PT2Tq2QRWtXc3xWeB9sI4L/9ft7pb7KLfUVbg2AsU8r3A6drAyV4y5HWAPOzHM833HIPO9QuYtWANbtN393dncEJBRNaK9cX6hHI0f0cO3oi0h1mVO/P7m1XY6eXT2oynh3VzC9TvSyRSCLcZrVvphI7IVdXdoKARErJnkLdQSk2uvU9gXNNXZ5ZV+PhsU9gZj27V3W3Cg7O/zy3M5OraZF6N0djGrrAKwX+wWhbzIZTwejGpKi2t6Z6i8dLWDiL+S4CFsdA0ErKoL/uadHZpSjnUa5HES/4QJaG2CZ9DgsQbHJ7RAJcyIyIiIiIiIqQQxt6bAwGb1lJ6slw2gVUtk6lvtzuNCumP043LIatPWGxBeMy/pQrzRWenSCpmK2NdckTOMxCdlYhOPZJvJ6cP2hIVWY7z5pcI9V3EZv9jfFPsM4hzsvzG1B9Sned1a1VwM7TEoF2fZJrvMtc3+iv+pw51wh5661JQfaAWCcc+uSWiGKwPZT5xypwSvCxt6QaHCNybcy3w/jsvaHddpsWsGNVgkYJypQ0ToAx6/C49LWBFg/1mO2PsgXbmeed2gTgUpb6/abvyu3P7Nbwt1JCcUS2u5jS0uf9ntNp5C2VEVr5jqPaKiQDQd605OyZfbaRVHuun09kkgmpMrtkEjckEgiKcFoQqrKnNq2IBiNa0sF7MuDPUF5ekeH9rmNxxMa9mIyNofdLpUeu24nAuRgNKZJrdkmQqtZ0cc2bmi1azGsFbmobvaHYvp7grEX0trAuki2xQfmNCMiIiIiIio5DG3psDAZvWXzhXFTNdAdj/05XNBWTLXpcMtq0DYDASCCNr/Mqxt+7JnbispVBHNz68rk+Z1d6UAS1ZtrNreP6SRkYxGOZ5vI64mt7UOqMK2hLbYZgSIqKHHrP9oNFBIYv74tlVp9uumQTyssUXGa2dJgOJnHctWxM+XiFU3DnnOF/G5ljhP7d0F9Zbo3K1oloKUBok7can/Gkvoh72ceG6wbr0XFJ6qZzeNYW+6WExfUDRqvOQ6z9YEZbiP4xXPWfZx53pk9bTPXZ/bPbUff17ih4Ty2ranKK/FEUqtd0bu1LxyTra39GibjHFgys1LbQWw46Eu9YZZeu+csnSX3rzskr+oyqLyOSyxhiG8guJ1Z5dZQH68zDEPbKWxt6dfzxeO0y+xar3QHIlrFi32DsNbltEm92yMuR0zHhKpasx4Wb58taHXaU5N8DQcvTWes7C1LRERERESHOYa2dFiYjN6y+cK4yeqxOxX3ZzHVpsMt+3rQZteg7fzlw4flmduKwO21Nr8GtpgYq9LrlFse3y5VHqfMnVE+ppOQjUU4bk7khW3G+hHWIXjOrMLMDDxx2zwqczGhV6GBsTnRFaousVvdTqcGhKcurtfqy2IqhTOP5aHesFbBDifb75bZNgHrRNCIW/63tPZp39O6SpcsnFGRnsAr1fM4LHUVLq3IRmBr7XmMfbR6wyFZs7lN2nxhaar2ynnHztLKToT2aA2wryugrSgWN1bIR886Im9ojN65qHb1upzSE4jKD9e8pscIY8n8Hcv82TxeO9v9YrcjlI+KP5LUMHaG9uG1iT+aELshsv6AT6tiG6vKNEzGulBRjHYJ5gcQ97x8QNsddPmj2jsY1brYLlQdt/rCGswikAX8u9zjkI7+qOzpimhVLZ7D4w7DpgFyPJmUFXPrpLHSLesO9GoYjsnA5s2s0HUg2O0JxSSM5rIDOWtm1oq3QxUw1mWF6lzsVlTCWnvQjjW8D4ttiYiIiIioFDG0pWltNBWx2cI4c32ozkS/zFMX1eut59Olx+5I9mcx1aaFTmo1mp6zqHgEHEMEtrgdHbfQB8JxrRh02HNPgmVdJ4I/9FVFH9KGSrfUV3rSYd1YhuPWbZ5d49VqW0zi5LLbtJIULSLOWTpzSOCJ4M/s8VrovtJKTZtN+6LWVnhkRXONdAaiGtgWWylsBsDmrftnHdlQ0OuyBffW7br35R4NR9Gzt7M/KgtmVMgP33d8evv1dzOWSAfNmT2Psczvnt2Tbh2BY46+tTgvNhzwybM7u/R3e06d5Kwuxnn0yr5e2dXZL92BsLYPaKyya1sD7Hd8KJDtdZnnItpaPLqlXbcFsSWCYpyPqIbd1OKTBNoTxJMDQatNfKG42CScrg5HywmM+aENLdLeH5Fyt0M2H/LpOYwKY7RbQGiJFhrYBz6UuyKUtdv0yx9O6HvpsR849x1asWtImcshixtSH4zgQwKPwy7lbqfu2xZfRGbXlOnjWHckhnGnqmytfW7tdpFarzPrRGQOu2jbCYmkqnXHK7hlYEtERERERKWKoS1Na6OpiM0WEJrrQ3CBPqMiXdJQ6Z2QHrtTdX8WE7QWOqnVWI0ZFbY4lgi4GqucGkQtaawcdpyZwV9jtUeuedOivGMb6QcI1m02b8tHqwTcvo/2EAjVzLFmBp5mj9fh3tt8/i+vHNQA8cwls/TDiPpKt5xyxIyCQ3Lr+7T5Qq/fKp/l1v1ignvrdj2zo1MDviNnVWsP1njS0G0x9w0CV/3d3NmlPWmz9bJF2wj0cQX0Bcb2oXUBes4iTERvVvS3xXOPbGxNtzawBv/3vnxAQ2NUyCK4R7iKylMEwBhrtg9yMs9FZLHmdm1r65PegbAV5yQCXbQlwG6LoVesXbSCtj8c13YZWA9aTiAc/9e+bn3fYCQu4URSA1cv+rnGkhrAYj9i8rEyp00CMUNsWK8tdbwSyaSG9HgnLIfx/P/s/Qe8nOd5nok/02dOrygHAEEUVoCkCiVRjZJMiZIluWtdFEf6e9ey17tre63fP4kdO17LideJHRfZSewojhLJTYolxZZFVVKFIilSFAtAEADR6+l9et/f9XzzHnxnMDOno/G5HfjgzHzf+71twPia+70fXOc4l51D+VPfPasRDlzP77sGYtIZj8jmrpjewzgAzihZC5ElEmFTV1z2D3XL6SncyxnJlS5tgkQ0pGsH9C2WPWqLeXwZKQomk8lkMplMJpPJdEPIoK3pqulayH1dSyGoRoDQtYeLDygUC4c0p/NKZOxeC1rOfDZa9+WC1vWObaAvZLuSPUqfgZ2uz/TrmbMzCgGJAOhtjyqoWm6ObSPw10rrEanhn39ckQBmfxvNnMpLPbvZlxE4h1fSR/9zDl2ck55ERB64ZbP2Z2Qu1/Jet2+Ag+S2AqWJJ3Bflrhx4SYFaAJsiX8gPsI/N7jf6X84GNR2cIMCdN2/P8wRzl8/cK8Hw9+Zm5ZT4ykt1nV+JiP//isvaQQCa869uJ0Bjr1tEW0TRy8OW5yo9K2ZK7n+81OsXcvfM/myFv3KFosL18fCgVoWbFUdsBT5ouDavTf1ymgyr5ETOLx39bfruiVzRY0voM1iuajP6k6EZTpd1LiEQCCgMJXXPUd5WTK1aAMUrGUov/32zYsiJV64MOdB5GpVIxomkjmZzRQlXfDc3K/s65XxZE4LmxUqFYmFQgqw33rroLzypl75k6/PLzh6UTjA2EKaO8w8qlxRs2UWIDOZTCaTyWQymUym610GbU1XTddC7ut6FIJq1J4eu+6Myztqx9I/9uipa6og2XoDc9fe0RHGnlEHIBCm0XxerXVvNGZ+xzFKtumB7KxGCTx452a9nvkATHENYI+CUvWAr5n84K9aDUg0JHo0vtW9a/kCYa3xEUs92/9lROXEpCSzJdnc6RVnc+7KRvOL/K8BXN1z2CdzmeKyP3v+fcP1Lre1flyv392nEPH0VEaB7a+849aF4mOAYp7b2xZTByrOWYrO+eMKaItxEW2BY/dtt29aBIYB+/FwUELRoNy9vUfCoaA8dXpKUvmSQnrWnHt5NvulWi2pO5nc2P72mGYJv+NOr836OaNP/vXDKeu+SDgzmVYXLWAUmNsRj3hfCgSqCoTpU29bVMf9+YPDMtgZl/t29WlxMoqVpXJFdTP3toU0ixjhtN7R16aAGzft6UJZQkEiEng3oCAXSOp4aiwsmo+Lw9q/h3km+bi4YymYls6XpVL1iprx/AuxrMJkipsBwnEL4wYGKJOpyxiBxNUajeWH11/vd9YBty5G3OU6sk3rKy/p2GQymUwmk8lkMl1JGbQ1XTWtB6Raq9ajEFSr9oA/VxtMN9J6g1PXnmZvBgJ6HLyZw3it694MOC8FohuNmWtv6muToe6EnJlKaZxAo8xZd7S+HvA1kx/8Dc9mpVTl+HqgYQbqSoD3UlptfMRSsNf/ZQT9i0dDEgkHtTAXwI02G80v8r+Gs9U5RwGnHI1fbqZuq31TP66ffO2lef3kd84qsMURi7MXUMxzcU+znvXt0daPvXqH/mk2t/3tUS1mBnxkPO3RsOa/qqqkzorCYgSoDgcDmjtLZADXK/iNhOSzz5zXGA0Ku+UKZbltS5cM9SS0by7/2O1hoP/4fF66EmHNrt3UFZXtPW36LNyorEe2QF6ul5vLmD/+eEnb4yIcuUQkREJh7Q+QFVBbqVblg2+4Wec3EAwowM0WygqBg4GgJN242KslkeNjKd0D/nxm2uNLjVyxpP0lQgJXbqFSlalUUaZLBSmWQtIeDUm6UNZ+zqSLWqTtCwdHZD5bWHDUxsMhKVfKCmhdkTDe4W2Ft0FvLCaTyWQymUwmk8l0o8ugremqab1drqvReh+3r2+P6u1XG0z7tVGF0pY6lr+e694MOC8FohtBP9cXXt/Z7xVVWg8XrB/8sQdOTqSa3rsS4L2UeK5zhdJnftbnrTZy+i4Fe2mDqAgAJKBva09iYTzOfVxf4Iu2gG3+eSPSAIes/zlrKfy30iiGN90yuJDly/2HR5Ly2IkJPcrP+8413Gxu3X5ynyM3DiDp3z59XmMwiFPAnctYP/JD+/X6Znvgqy+OybnpjJRwLJeA9XOaget3ETt93+2b9LPKM8IhkelUXiMJcHTfta1HC8IBdovlWsGvisjJibR+eRAKBNXRimsWsJotBjTKoVCsyMh8TrZ0xeWubd1ypD2m1+A8f+Pefp23+VxRn+NqheUKJe3zXzx22nt+OKhAelNXTGYzBXXhEj3BvuB9rV0nIqlCWYpk1IaC+lqpXFZoy79DZPI6DpthALXoBwlWRY2/tQJmkaBINBKUVN6o7ZWWGZxNJpPJZDKZTKYrL4O2pqum9Xa5Xou6FsC0XxtVKG0l41zrujcDqEuB1UZ99MNIjrPz+1rHt9S9W7vjCjkbRQYsBbyXo3p4zfgomjWTLsjns0X93Z9HutSXF4C4X/rb5+TQ8Jw6QDkCjxsTWMd4cFi2KvDlHzsZtM2es5RTeqX7xr8fGkUxuMziM5MpBbY4cX/3i0f0yL4rJtYMdtfDcWINPnDfTs3lbdS3ZvtnbD6nv+N2BdYDW5sVKXvvPUM657z3yJExGZ3PKswkjmEqnZf33LVVTk8kZUzyWpQsqKi0KhPJgrYPQC14Nd9q8Ba4G1BISjG1O7Z2yg/es3XR/DIf3r8TRSnVsm1xwOK0xfX7379zWoutEQ1Bbi5xDQDsXQNtco5M4VJFQWtHLKzPIdOXWIRSuSqTqbzm35ZdGkOdiIBwaJbvM5gbulCsA7a4fAc6ojI2nzewaDKZTCaTyWQymW4oGbQ1XTWt1eW6EYXM1rvNawVM1zts7725V19fr0JpKxnncta91To0A2CryXPlGeSakjPKTyBdo76tZR2XiswgMoAM0OU6PpdSPbwGCgPpiQLg5+MnpnTcy/3s/dHXjincLFcqksqVFNoC6CgwBaA7OjqvEK7VnmLsQz1xhXi4TpcbX+Hv40pcxMzf2FxOnjw1JU+fnpKe9qi8ble/bOn2YLK7DkC7b1u35rR+8YURee7crOwebJeDbTEdM3tiqeJsvH/wwpyCW9prpGb7Z3NXXPNgy2UyYD2genoipcDS5R+7Z7kxfuj+3eqoBVKqqgEtQkbf2Fv/7xePKmgnWwBXayIS1DgFD+HWXLhVkZJ3s74+lyvKN45OyH/+wL2L+u0iHh4+PCrBQEnduflSVeeXtZzN5DSqgDaPjM5rTASxCczhkeF5SWsGryjUjUfD8q59W2QmU5BTkympSlUduZWK58atlx/N+mqULbqW+ARg93y2aMDWZDKZTCaTyWQy3XAyaGu6brWaXNbV5J6uBSyvBUwv1deVAObLHbaibkjg2nrEQ6x3zESrdWgGwFaT51oPODlO7nfBujldy/iWiszgGL32peb4xBW7Eqhar3p4jYP48ROTuvZksHa3hZvGOzTaU0BfjqpniyKFUlVKuZJMp/MylynIZLoohXJVTo6nZHguq4Xc3v/amxb13f3d5QKvJL5iOS7iRmCV6w5cnNXx4ArFjfmqnT2X5dS6uXry5JQ6Rxkn4BzhAgXmL1WcjfcB7qwfALgZcK5fT/rW2x5ZqKzVFQ9pbAPk1p9/jPxw2APoVeGjzp0ujgG95+4hBbd8OZPJl2WwMyrTmaLMZpMKQQO1PxTGy7sIXrJnSxU5P5u5bO/7Ix6+dGhUyvmiBKSqz68GyO4NSJwYAxHJ14JmZzJF+eLBEZlM5yUaIobBcxDz9wMXZmU2W9B9RDE7d89qdSlSweISTCaTyWQymUwm040ng7am61arKWi1mtzTq+XYbdVX2ufoMjCOI+sH2z3w1wz0uXGRN8rx9fVy2G6UVlJ0aqnXVwI4cSg+9EJyQwvH1T+TyIAzUwEFfuuRfVwPr13kAw5bgC0FwOpdyG6/fvnQqEYJ3NTfvjB+oO/xsaQUy543kwJVhbLI02dm5I6hLhloj8lpSWnxNODcsxrHkLts368mvmI5LuJGYJXryIklqxXhYB2ezV02Xu7H6QyA3tQJMBWF2zNpke29YXnx4pxcmM5Ib3u0aXE2nusc0vSD7FrmkUxXoiO6EhGdQ/9cuM/v14+OK2QNBALSEY+oe5kibzh/AcnAV9ol79gPh2/f2iU97THZ3pOQd+3fomvsB67//Wdeqw5k7s/my+q2TddiBYhGoB9F3L0+JyvO5Gb/3rTHwtIWCamjlbmkoFp3PKLwPleqqNNac2orVSlVKtoWr0UiAYmFglLEpZ0vy7GxpGYiD3RGNbIhHKw5f2sxBwBeb48F1NHLs2r1yUwmk8lkMplMJpPpZSeDtqbrVqvJGV0PcLQcrYdjt1Vfaf+xmnvSMY1WoM+NiwJR6+mw3Sh4faWygOsBJxCPGIGNLBzXLKZhJeNtNa+N4DUZtv7CWfWw3u3Xs1MeaBwCHkZCer07Iv+Fg8OSLZT1vXShJG0xYggqcn4mLYlYSO7Z3iMTybw8dXpG9m0rX7bv6SdO0WYxEK2c0m68R0fmtRgXTk8gMTAUp22jqAyiAch7JT4AN6p/Tv2fT+67bUundMTDmvvrxk++cHdbRIty7d/Wrf3xz/tQd1wevHOTwmCXifvY8Qn9jMUiQRmZzcrFuZxmuB4bSy2aC/f5ZT5x1ZL5Crw9PZnWPp2bSiv45t4LsyV149IfN297BjsW5R87FzNwlyiDjz92WqFoKBSUcZ0D0WJhCDh9x9ZuefzkhOSLXiExYGu1ins3oK+xD8i5dfETjOviXFZBrK5HoSzbehNy354+efjwmLpraZ75mZjPeQAfGFzkeu+eaACgC9ivyuhcTtenLxHVfTSVKigIZo0AwVw3lfSAsL8ImslkMplMJpPJZDK9nGTQ1nTdajU5oyvJPV0qg3M52bH37epXyLQa+Neqr0CjnraIzGY8Z+CcyIYW/1pKzSDiUm7hZuBxOf1dDzdzPeAEfgHYNhIWN4KqK12flX4psJQL+dIXBB1y4Pysjn9nf4f2xR2Rv3t7t3ziiTOaa0oMwk++ZocWlgLuASzDIbJTiwo6HfTGbeocoGS+bu6MNY2BaNVHN16gIgCzWqnqFw8OKjaKygCCPnJkXOMAiA/wz2n9FyK41V+9s3cRvD83nZG7t/fo+8QW0L/6iAf68IsP3LLgnD03NSXBQFWLniXzJQkATgOBy4qLuc9vMldS96qLZGBsuWJQnfAAW/79ODud0fHu7GtTqAwUfvQYDt3qQvYt/WVuzk9n5NRkesEdu29rl8LUZKGiDluSDIDEP3DPVtnUGZV/PDjiAeEAWcRB+cbRMU1r4N5MYU7+fx//rsLXsXkP2Lpc3Hy5onC2urVLIze6EiK9bREdV45KZQ3kXLSIVIRYCFBMDEVZbuprk599825dTzKUGc+rbvLW47nzs5qnvBJu6/ppMplMJpPJZDKZTNezDNqarlut5jj8SnJPl8rgXF527JQMdHjFj1aqVn1V12KbV/RoLhOQN+7tX3Pxr7VocVGmWc3dpCgTzkh3tLuRW7jZ/DbLAPVDWoD6146Mr2uUwXrA7dXA5JWuz3rFeNR/QcBa4Up1x+794ycvNRLy4KO/mJdzCvN6f3tUHaL0ieJqz5+flYdeGFFASSwDuaariYHwj9fvMEXN9gn9cGOon/9Grl//dZ/53nn51rEJeWl0XqLhkLx578CifjA/T5724gsQ97Lfb9/aqfs/lSpIkMTXgKjbt7d9sdPXfX5d8TGcq2BGIhIo2tUXD+u/G3zhA5wFDqPDI/MKR89PpzXSAID+F4+dlruGutSdC7AFrkaJFyiWtUgc10Wo2CUBdbUmIiHNbsY9zJqncfsGRCZTBYWpwO5KtaT9wDkNzGXdAKEL4LQqksyXNeeW91lrnLpcEyTyoOJBU8/bS/SBLHLL8jxcwHdt65axpBdb8dDBEfnu6WldN77w+sbRcYmEg7KlM6bXlMtVKVSWB2sN2JpMJpPJZDKZTKYbQQZtTS8rrQSOrQaMrWd2bKu+NoKLrcDgerhSW2lRUabj5G5mZN+2LoVO7mh3I7fwSua3HvLiDlxPcLmc/dFsHv2vT6Xy6iLFrXilcnHX6gj276cH79zccH8sJ0vYzQPtTKby8tjxSQVwOMLRls649nel/caly7F/haihoNx/iwdRl/4CwSvcBVD1rxc/eb2Z6xeQ6gqE8VN/9xcuOz0l56ezsqM3sVAwjPfoI0f9YaQAcPbA5locif/fABylPJ9iZ+/at0UuzmS1XfJeiXNgnt591xaFq+Qs4zyl2Bt9f9Mtg/J338tKJldSSDkxn5ep7qJs722T8WROnasKOKteVm57NCTVaEhSuZLGDgBZafPoaFJ2DrTrOpyaSOrrxXJQi4MRS0BX4qGAwlsoqIOw/AwFRcdI1AEO4KlMQWExWbvHRpMalyDuWhHZ2huX0dm8um0V/lZFoyEofjadojBZRfterXpgmXlgHNVCWd6wu58pkfNTXgHFVjJYazKZTCaTyWQymW4kGbQ1mdYRjF2p7NhmAG01MQWt7lvNXPmPyGuV+UpVnZGN3MIrmd96yMvR8NUAwLWo2Tz6Xz90cU5B4L6h7iuai7tabQTQB57h0uyKh2U+X4vwyATkp16zSTNUV9pv5aeOnAYCCzx1yS8QaoW7cPf614vxec7YLoWNZ2oZrm7suD13DXYsOGo/++xFvRcXqsYNZEuyrTuuX87wWWc8H7p/txYgA1aXKmEtrNUWDcn7X3fTZZ81IgDItKVI2TNnpxVSRsIBoZwXTue318A5kQtch1MZmAoo5QsQ3LP89Oajqs5VXMVEOlBILl/ltYB01nJ6+Tvzzvp+8A03a2zFZCqnzmnGhPuWnFmKhfnnvFipSrniwVogNM+hQBhO2mzRu3YqXZA9mzoUPj93blZeOD+rUJdrNNeWa5IF/bfA7Q3ENSfHiXLw7MaA20BQJJUvqruZy8vlsjx1elpjJCzW1mQymUwmk8lkMr3cZNDWdMPIwadWVds3GoxtdHbsaqHiUq7WtRZO84/bcy56R+Td0e5GR9iBNAAw4CsFnZaaq3rIyz31x/U3Ws3m0f860IxM02Yweb2zeFu1t5xnLXftV9oW8wB4Yz+QuUyEx3vvGVrkTP7Yo6eWNQfDcznZNdC+MO8jc96R+lb75ORESjNegZsU1wI6+vc919EH+okDFWfnQweH5cdevWMhPuELLwzLyGxO2mJhOfdwWvN9KQLG+ICRAFu3xvQfcIqbdCaT1wJmjWJLeObjtSKCF3NFBZJkA7fHQrK7v0OBLXz6w59+Xt24Ds7y79lQV1y/AOmIhuXAxVkp1fKFH7jD+/wAjUuVioJoxhMJBvR+8oYpnAawZXz/zz8cUqcwsQf09223Deq/mZlCVmGtA6TEJTjASpvqnA1cct3SZ9y823oS2uenTk/pG4BeB2e5DjDsi7RVFUo8x71YlaJUNUaB6zO1DF4vAsKArclkMplMJpPJZHp5yqCt6YaRA0aTyZzmyTaq2r4SrSYHdqOzY1cLFZdyta41I9U/bo5eu2JCQHOOgjdaK5dHS3+Ar0uBy5VGQmyEms2j/3WyW/cPdWvxqkYwebXF2ZqpVXvLAbJLrb3rE0AQwHlTf/uy2sJZWalU5Y6tXZetF3DUFTUj7gCoB0ysf6abB4Djcl3Zbr5xzvI8HKoUV8PBSvSD/7qPP35agS2OVNr9yyfP6hcOPG9LV0yeOJnXcaRzXsYr4PKB2zcvjK3eQe6PPXjj3m75lXfcetn6MSYKn5WrVRmbz9ciCyqSLwW0SBiOWNbs7FRKcqWyRqwAeJMSkHe+wfsCxB9D4Z9boLH7N3A+V5JMsSyJaEju2d6jBcOGZ3N6L65aQCz3bOoKy5buhDrDyfflmYWSFwmhWbRlQKrnAgaxkjMLLA4Fg/K6Xf0SjYRkMplXNzLzEgkGJRCoYAD2HLdEKzRwRjcCsfGwB/QRc0HMQzNga8XGTCaTyWQymUwm040ug7amG0YOGAEVcJB5IHBx1fYrqY3OkV0JVFzKAbyeGamPHpuQ0fm8DHbG9Ce/rxQUXotAvNU8rgQotxp7I8jqCn1R1O3Q8LxmxN6+pUuBIM7PRu25vUehLK6/b1e/5gs3muel1t71CYiIG3OoJ6Fja9QWsPPhI2MLBbw+cN9Oed+9l2Cs0yNHxrVAV1c8oj/53Q9t6+cBVzWO7eW4qt0+YV4CwYACRsZG1IH/Pq4b6k7I6GxO6d9cpiDz6jYtad+JIsDpCXQkuxVAyPhx8DZzkD9yZEyeOzejMPq5c0X93T8uN98H26MynSlou86Jivj7pfXskNlMSQKBqvb1dbv69Lo/eeR4Q0f1Z585L199cUxG5rLqYN3SFVesCUgF0uJOPjuZVvD+4vCczGdLCmnns2H9ouX+WwcUONOnWNhz95YrFCWrKEANVLwYBvrgCoyxduqgrVb131vANv/+hotBBb44fJmLcm18rUTbHfGQFkajSa2d1kLrAWwN/JpMJpPJZDKZTKZrWQZtTTeMHHziuD1HfoELG5112grMrjVyYD2h4lLA013noiX4+fnnL64KNC8HyDYDhVcDdDdTs74sVYxrKbWCpI3mzu2jY6Pz6gLlSPrpSW9OP/JD+xu2xz2fPzAiI7NZGU/mZZrc0cHOhp+FpYC+HyLiWD01SUGssH7O6vdIswJeDUV1qdrPQN284+oFEjMPwEAcor/4wC3Lml/XBgXhAN24WinShQu1fi993+2b5NDwnM4Pzlfcs8MzWQW1AMdq5dIBfmIBiBvgmmbFBZeC0f75BqgDM2cyBc2JxZX6ut19WnyMXGTygAc6onJTn9d3YHK9O/k9dw+pa/kvv3NWTk2mF+abJcDl3tsel2yhpO0xJ7liSU5NpBRmk7mbzJelUinIM+dm5PYtnfqcx09MSWeC9cXxGlDYy7PDIe8eQC5Qm3nhvbu2dauL1+0toO2egQ6df1zE52cyGlNRrgKAF8PSRdCU4mT58oI7N1+fp7ABgNaArclkMplMJpPJZLqWZdDWdMPIwRBXcR1Ys7eWabtRagVm1xo5sFqwuJYoCCAc45nNFuWlVUZLLMe12wwUXg3Q3UwbVbytFSRtNHduHxUrHEkXLW4FgCJ+oll7ZMWSq0reKMftAfHbeuINPwtLAWfXJzJhiRjAAYkbE/cl8+Ofl4UCXr0JefKkV8AL6Fo/N2++ZUBhKUWsGM+bbhlYNO+4gsmEPZCd1cxWF2vAnH/hwLB8/ei4/k6WK+CyUbYufaEgHu3s39a9MHb/ug12RKW3Lar5rzhSmXO+8NFj/uGQ3LalS8cODO1vi8q23oTGPbTck01gdP2zgar8O0WMQTRc1WJjxLmMzuc0BxgX7NaeuPbloYMjcmTEmy+AMO5XQC1Q+OCFGZlIFhRyukJloZD3E8B/diqtObeMgaxYoDMdA1jyV667MJ2R//rYaY072LOpXeMQ+tsjGt8wny1IuRySZKm4EJdQqpR1XdOFkrp2c6WKvDgc0dzhH37FtoX54d8TnMG9bRFJ5ks6z6FAQGJhXLnlRdEHmptbFdncGdMiZ9OZkqynXEauyWQymUwmk8lkMl0vMmhrumF0NY7PtwKz6xk50EzrDTnXAzQvpxhbs7Vq9vyr4cBdbvE2YCaRALhDcSou1bdW+7T+iwfALEf20xw7Dwa1wJMWmAoFFfo1a485+odMUQqlsvS1RxUCkrG71oJ8wFNc2GenMy33PMDW5UrXg10ESKZPAFtco/zun3fcpUQXnJlKyY7exVD/k0+elYn5vBCaylF/B4X9+4N5A1juGxrUOAMyV13RMwrguTzlh4+kZTad17lVEB0QjVapBD2wuLO/XYF3rlCW9lhY/z6ZyuvaEPtRvx9x7gKcmXcA99tu39T088qaMvYt3XGdS5y9uGWJFSFf9rHjE3JsLKmZvOx/Ihlw+1K4DPAakJzmz06kPJcwgBgIWiVvtyoykcxLb3tM2qMh/Z37NV+WjvjgZa5YVQjLuL56eFQ64mHtm0YaBHDWVqW3PSqBoEgiElBATIEy1gwXbypXlp5EWMbn84vWyq0lX54pIK49l4xd3Lg4djNFL3YCBWp/ptJFdeiup1jX7kS4IQjWLyHW9Wkmk8lkMplMJpPJtD4yaGsyrUGNwKwDjIAjihl5FefbN8Txu95u3vUAzWuB582efzUcuMst3pYvVhQiAvb+4tunlg1vW83dZ753Xr7x0rjCv3AwKPds75bbNnfKCxfnFDretqVTM22biWeTT/r4iUmFZkC31axlI1guMqou7Ebz4j/6D7BtlqVLe6FQUEqFssxn8/KlGtjFHcuxetplboGa4Dv6QJEv5vbidFrhdTAUUNAIRKZP/v3B54426OO56YzmBYTD3nuAT/eZIXs3Hg3JnQOd8vx5CoiVZUt3TI//37OtR4Hqm/b2yz8eGJHDI/Pqhj03ndVCe+Q11+/H994zpDBz6agJ7/PK+HB/xmoF+QDxtMt7OG3JiFXYWqlq5IFm9FZxAjM/IdnWk5CT4ymFqH7HKkAc+EuMA9EGf/jVYzJTLnqlxGrgFpCpeb0LURYBvZbnecXIKhILBSRXqirE5XnheFSfwf3AY34yn+wvQPbpybTGNdBXwD5xGriDuV+/bAgH1J2bTnqxE34ncqEiuh8qGxCHQKwFX1o0hLbEMRi1NZlMJpPJZDKZTNegDNqaTGtQI1epHzACYl69s3fDAON6u3mX45LdSDV7/pWImqgXkBDwCXwHpvF7o6JbwzMZKVZE80fJMSVztJG7dCXi+D8guCsRlqlUQQHe7/zo3SsCrEBd9t5y17IRoG1WGA35262/90dfuU3drADbdN5zcfoLaOEeBjYyV5C1587PyHjSi1YA8AEjcYri9HQxDKwFztpMsaLuU2BhKeq5X93+cLEMFBUDbOMyJR6AWIB80XMoA0Ad0AXOQhiBpkQo8Fzg3tbuuMYJAJGPjCS1uBdtBQMBmc/hgC4rFK3fj8uNmuAexkmxMPJ0S6WKvOOOTfL2OzergxenNUA5V7iUqQtkJVMWuNrZFlX4eXI8LaEgYNsDu5DKznhkIRYDyI1T9pbNHXJ4JKntEJWQzJUVrNKeYvFAQAvWZQvk5VYVqPN+lrwCCqVVRIr5sqTz2Zob2YtJwGUOHB2m+FkFYByU3/vyS/o6sQusIT9xAgOo07mStuVU76ddKTvFFU2cRStoi5MWWMycN5IfeJtMJpPJZDKZTCbTtSSDtibTGtQI0lxJwLjekPVqREws5/kbETWxVOQC8AzXI3COn/zu75srugUcK9TAJKiIgl1AQMAbjtml8lebKuCqNl06Qt5Ka3Uje8XLhmUmXZDPZ4sKSXHp1u/lRmvkspDdsx+8c5O6PLmeebk4m9WcZNcv2iW+IFLy4CKuTgCuew7gtL8jpsfo3WvA85v62xUC0x6OUtYAN/F9u/sVgvpjGVgzHLewTFyhBy54+bgffMPNCm/p25v3DmgbFDpznx/Gt2g8F+cUYFJsC/A7lwnIG/d2a/tEL+DkbVSUbanPqzcvXmE59rRGRrRFF7KlAdPxiOd0Zau1R4OyqSuhOb333tQr3zs3o5EEd2zt1AiMJ09NSalckb62qELSY6NJCUG2qwHpbY/I5q6YZtQqUK1ZXPl7ezSskJfCZqUQxcKq0hkNqXO8EVRlLiKBoFSCVXXixiJhqVYrElR4LFpYrYqzORQQel4sUlyM69cXkHbFQrofiJCoB7cMj/2h8RNdcRmfz0mBumomk8lkMplMJpPJdB3JoK3JtM66Elm21wpkvVLaCAdwM8jpYC5H/IF09+3plwszlx/xd0W33nzLoDx5ekrmsyXN6wRWse4cFyfioD5/tX69GsFjAC/XAzIBjfy+lNb6ZQH3A2yBq4z78RNT8sa9/ToWhZNT6aZwsv7ZQNBffOAWfe8Pv/qSHLo45x31L9FWWgsEMi6cyUBF8mIBbPWfGf/nyEUH9LRH9D4AJdEUwE+iDV69s0+P4PtjGRT01uXjLgec+8dDka6ZTFEjB2aqVYWfQGNycvHBAoUbFWVb6vOK85i5dnPGvDC3PPvoyLwWHEvlilKplhR6ct8rdvSog3k0mZeBjrjcvrlLXrg4K0dG5rUf8aiXR0shL8BtZygsnfGwgtREJCy7B9o1N3d7X0LjNgDOzPvoXE5zZOkfwLM3EVGHLuOuF3iUwmMIt21PW1DeuHdQvvnSpLqecSNTFK2oubveFw64e4HC65VUSx+72iLqjJ5O52V0jrVY3EdUKlfl4kxGYbE/LsFkMplMJpPJZDKZrgcZtDWZ1llXO2LgelHjvFRp6H7dCDjdDHI6mMtxcVybcnJKBjrjl8F3B+eBgwC0979204KDk2sBhmTSEnGAALCNQGojeAxYRI8c8Vy6uBuZr1awca1fFnD/52vAFldpd1tYHbFELHDM3h9VgPzr0erZgDzm0R1lB2Y/uG+PQjzGB0x70y0D6jQlL9YVYNvZ16aOXeeCJZ4Ct/NLo0mZSOZkZDanLtlKNSAjczmFqMQyfPnFUXWd8tyhnoTOG1B4Z3+HvHP/8nKG3XiA1flyRbriYXVs3r6lSx27pyZTCpvBkNt7ErJnsGPFoLx+zhj3Qy8kdR8A7IGR5MuSaQyoZg8AWXEPsy6AbzJoXxj2co6Zv5t622QqnfeyZoMBjdaYyxR1nhg3jmQmnNcSUW9OBsijzU7IXK6oWcHEQCRiYekslxtCW+IRWDP2AsXTgPFzmZJs7o7JbLagkQtOfkjKq2EiLWov9rdHJBYOyOhcoWUsQiPYqtA2HpHetoj2o9H9gNpY2APLrkcGbU0mk8lkMplMJtP1JIO2putGSx1nv1b0cnG/rlWNYCW6UgXHmoFGB3Nxa4pMSSwc0qP+9fC9EZz370dck986Flpw2uIs9Reqc/uYQlqNIggAwJz65j3clUC5VnOx1i8LLhUvm1Jg2xWPLuTFIhyrzeCk/9nkwQJkXYZtWzSk7lfGw+te5EJIfuzVO/SPX14sQVIdqMfGUjrvzrGLXHTAPx7wABxArlguSyJSlfMzGYWTuC/PTGY0RgCHqsupbZa/62AwoJisXfp3Uw0Yf/XFMYWpODZH5nOyuTMmhXJZgSFK5oq1OVo5KK9fL57vnLdA2PFkXgEoEQBAx6dOT8m+bd3qpEXOkeucxBT9KlYqCmM3d8ZlsCsm3z09reC3vz0qk6mC/M/nLkhfe0xet6tPtnQn9Lnsv7u392hbo/M5LcyWK5bUxUyMgj95AB67vTeu76ULZe0XDl2CFIhT4Fk4dBXqBjywy9yp2xZHcsArXKZ5uQUycqsSCwelLRbyXLq1CAZ/jEIj0MrbL40k5fRESouzNQK7niP4Ul/cOMxxazKZTCaTyWQyma4XGbQ1XTegdTmZndcL2G3Vz+tlDBvhdAWmXO084HoHLeCwESxlTVyxLsbCT/9a8Xfg2zeOjuu4iDhoVNwL56QrjAWQc0W7gGhkji53Ltb6ZQH3/9q779D+1WfR4vyEiOLebAQn/XOBK5e5Aya68TGPrjAfDtFGYt9z79mplI7ZuZYb7ptoSB2iU+miul23dicUbuLKJQt337auRfm4fvBbn78LqCZ2YTKVk/PTWdnWHRfiT3HQjs3nJJktKYgETgIacd3iLgVG4oD1A9BmoLwZKOZ3CtoBsynMxrzxLOYdSA+EBvqXqxWFz5l8Sb53Zka+U56UW7d0SbFU1ixZ5hpIS5/JYMaRO5UuaFZtWzQowaCogxrATVYuYP1VO3vVqUs/cConiEYg2qBQlmSAvNug/qHCmHOqUmzvtbv65ZEjYxrBwOubuuJydjItp2tr5RVBEx2Hglt1Q3uglJ9OzDGQl/xbYLOLMMCNi8jLJWahmbjfK5RWFT5xLSNrfc0YsDWZTCaTyWQymUzXiwzamjZUay2OtNLMzvV83kaqVT+vxBiuBTDczOl6tfOAV+JYbbVWtP++e3fon1b72EUQ+ItTOVAK5BqZzaoLkUzVpSIS1qpmmasAuEqlKnsHO5rOiZsLoCvH5XF/Mk6iCbZ0iTpJd/W3Kyh0Llz/vuN+oCX3Hsh6RcMevHPzomcw/qlUXq8hv1YRXFVkPlfU/FfmbyKZX4CfQEG3h5plFdMvQCeAkgiHVKEkqVxZoy3I+CW/ldfJKqZoGMXC5nMlzWwlx5js2A/dv3vRuvCshw4OL8Rb9LZFZSxJ0bHwAihmnadSOY1ggM7u7m/XOa5WvMgFIC1Akz1C2zwP52wyX1KnKpB310C7Xkc+LXPlnMS/9LfPyamJtOb+pvNELxS1n/FAUAu5HRqeU1A7MpvR8VUqoutCHm0sElDQTTsDnVGNUiDaA5aKg5foiXSupL+zP+nzWJJsYg+6lstVCYaDMtgZlZl0XkE/r9UrEaawm2epdc5aruJSQC+QfLmu2FbANuSLZDCZTCaTyWQymUym60kGbU0bqrUWR1ppZud6Pm8j1aqfV2IMqwXD6wl7W8HRjc4DbjWOlThWV7NW9fsYlySCKwEcXXtAR8DtXLakR/2BfPR5LQB/Jevn7yfws5njuNFcAF0p/LW9t12LkOEc7WmLyIGLs1o4iwJu9fsOeArgA4ziZHWv+Quf0XfmYag3IUeG5xQaxiJBSRdKerQ/HCL/OKjn74Gf/liLZlnFrsAZblcyd8s8O8D42zVqIFtMSaVa1b7h4g1jf9UFq+pzv/jCiBYIa4uGF+YVh/Unv3NmodAaTlmArRZfS+blxYsViYSDCpqBqDxveC6rhdJu39qle//zB4YVGuPo3XdTt0Lf42NJBbbsFeaIMf/T+3aqK9e5vXn28GxWs2lT+aq6tQG25ZKXq0z32yJhzb5N5st6L05X7uuMh2Q2W5apdFIw2TImvb9CSTGRgc6YXJzLaexBezSs+4kvFDpiYSmGvYiESg2U4rhlPQoK1y8XXwg0kt5fy+QNVnE4r80da8DWZDKZTCaTyWQyXa8yaGvaUK21ONJKHZDr+byNkINmHH1v5Aa8UmNYLRheTxdwMzh6JZzR6zWO1axV/T4GFjpAh/MTCInYF7hVI/2t12klIHYl416J49g5YF+8OCed8bDCzZ29bQr5OH4PoJtOF9Q5urkr3nA85MlerBUsw0XLPRzzJ9vW9dPtWxyfR2VOAWRPIqoZrMlcSYEvbQP8KGSGPvboKZ0XALA/q5gCX0Q3OCfwnoE22T9UlrH5vAzPZrTIVn97TO68u1Odqi7igpzbwyPz6gQFoGYKFfmb756TTZ1xXcPP1yBmplhS2kgGrpffWpa5TEFSeXJ9w1rkq1ypqIOX/+EanoNbmD3B7+T0kmv73PkZKREhUHOsumJg8XBQHj48psCXeAjWFGCKe5sryZ3lyo5oSGZKRb0J/yr/7uB+ZT14jjPCAneLJS+DljxgMnuZy752XLNFOTIyrxnFrBVrDpgFDjOH/Dw3k5VgVSQUCmi0hD+b1i/67+Bzs/dv3dKhLl8Kzhl4NZlMJpPJZDKZTC9HGbQ1bahWCn5awaflOCDXWoxpo+WgGe415wZ8xx2bFhVuIu9yo8ewWjB8vTiZr9Q4VrPf6vcx6w7sA1ICyDi671yiuB8pQtZqnTiG/4knzqiLMlor9lVf4GupcTf77Ll+LvXZdA5YHMFEF7xxb7/m4wJMAYXkqAIIgYVkoTYaD6BxR2+i5hr1IgHq+8mzHz4y5uW8Ah4ruJNzEggEZVNX2JcNXJbnz8/KQy+MqMP3YFtMtvXE9X2XVQywxWEbjwAgKwuu3C8cGJavHx3XY//fv3+zvOfuoUVjBTY+enxCXbme57Yq4/N5iQSDuoasH7CTaIJkoSLVWl5rLByQQjkoeFYBscDPTMH7Oy0lIkHZ1ptYiMegQFihWJHe7rg6Z1lfinYRZxAKeNd3xiNyZjqtbtehHuIoiBzwcmuJOwAID3YkJJ0vSm9bRDriYQXDREHs2dShMQkA8gCO5bAHdPl/7COAOPPLq+3RsMJpfhLl8cTJSc0TJlaCNdnZ3y5jcznPsVypaLxEM87KP31AXhzP+SY0ltSEc1MZuamvXdeGImr1V7qiZSaTyWQymUwmk8l0o8qgrWlDtZKj5uvhflxrMaaNlh+aAejICAVSXekc3mawcSk4txTsvdpZuct9/nq5mddjv9EX3JnAtkSUzNS4HpGnXcbD/mgFhclN5Rh+VzyiP/kdaFufq/p9t29ScNlo3MyZc/vSFzJXga7+vNlWe5T5xuW6b2hwofgX9/I8iqtpvEAgIINdUblzS5fu+6GeuEJp92UFfXlpzCtYxj1Qw/p+Mn6KlZE3m4i2eZEIwaD0d0T1y479Q90L2cCPHZ9UMDiTFnX5pvJFzX4FDlMMDSjqMnsdGGacQHJXNA24Wb9/3nvPkPz3J87I0dGkQluuYbxztTWMRUIy2BWXZLYoZSlIoejlAQMoKQRWrmXwEj1ArAJOYYDk/bcOyDePTiiEvam3Td3D6pSdy2kMAxCVYmFEFQSCAeltj8mOvjaFyAfOE0eRlp39HTLQHpPhuZwCXdzPs5m8tMcj2r9MsaIu1ny5rG7gWzd16hwAhYGpvNcdD0m2WJF8sQalq0QxFNUdzP48NDIv3W1RvY/9QmG2d+3fotA2Gg5I0Yu3baqetrBCdZzkrcS4iIBgH/MllxYt871vwNZkMplMJpPJZDLd6DJoa7pmdKO4OFupESy8GuNuBhuXgnNLOUuvdiG45T5/uQ7ZKwGhaRNI+viJKeluC0tvW2wBUi4bClddzioH7T3Rbxy4LlcVh+kH7tupjlLGvbU7vuDwJq5jKpmX+XxJwSN98efnLrVHm0FwwBtH+DPBgGbBdrVF5d13b9V2yar1rxWOc9e3+28Z0HspluVfH+YDQMh9k6mcRiLgHgUIU9TKrQ9jwmE7m/WALXC4ry2qTtC7t3drW0Bb4hfOT6e1oBiF3nCzLvVZpP17tnfrvdrJQED2DXVKPBKWbx+fVEBLDAJxCePJnMJaAKNG4eJiDQIuo7KlOy6v3tknH37wNt1nv/vFI/Lc+VnJlco6bs+dDLP1in5xPy5lXLt98bBGKzx7dkaGuuMKrclGZm604NtAu2TyZTk7ldY2eDD5v6w3xcVom2zdzd0JAYVOJIPSEQtJX3tM9m/rkm8cHVcnLe5gjTGoen0GJI/N5XWetIhYwNsbf/nkWYW2wNhWLBYwXChV9YsIZqWZ0xZ52cOZhee3RYOSLVQM1ppMJpPJZDKZTKaXjbzwRJPpGhDgB4fdY8cnNBsTtxww40YSUAkwhdPQHcdm3O5Y93pk2DJnADHAFT9XMod+OMfPemjlIOIvPnCL/qwHmEvdv9Fa7vOXGkc9BD45kdKf/L7ec86zcbX+0gN75a23bpIfvGfriiIxcNAOdsUU6vHzbbdvWpgL4BoO3K5EWN2pwEA3bsDZVw+P69goeEYuqnOKAo/9c+f2KNeenkxrtinjnM0U9CcAlLgBcmT9xb9wfN69o1fetHdAtvTE1UHq3qtfK3/fcAq/794dDdfHfYbeuGdA7tjapXmw/kJtrr+97VEFsczLps6Y3LenX5+D85i1BBeOzGXlpdGkZrmensyoY5XCaY+dmFAA2eyzSGbvrv42aYuF1EV8ZDQlv/DWPfLmWwY0C5ZnAxxxrAJLeZbLoI2EQgpsiWjA8Yvo92MnJtV9Hwvjpq1KPBzWfOMg/5WuuWCDwaA6hflDvi3FwigmRmTBH/7EK3SuKKzGWr04PKvxBox/PlfSTFzc0OwHQhq2dMV1HoHNt2zukB955XaNTNjW0yZbexJeIbCAl39Le+wf1oG9ze+KW6uikPr0RFqm00UdazOxgvQFcNwdj6hDupUwGdN/gDzKGbA1XQU9+uij8gM/8AMyNDSkGc5///d/v/BesViUf/Ev/oXcdddd0t7ertd84AMfkOHh4UVt3HzzzXqv/8+//bf/dtE1Bw8elDe/+c0Sj8dlx44d8nu/93uX9eXv/u7v5Pbbb9dreOYXv/jFDRy5yWQymUwmk+lakDltTdeMnOPwzGRmEYRp5jS82kfxl6NGfawfz3rn8K7F7bqW2AB/MaoL0xkFV1e6ENx6F3FzYHF7T0KePD0ln3r6vL7OUXwKbLl1BUQBQFfrMF5LzALH9RtFKNAvskmd0xag6+bDi04YkYMXZzWnlKPyFAgjt7Te7Ytcm185NKq2x2AwoHvsu6en5eCF2YU83Q++4eZF43Drwfg4uo8T1H1GV7NW/s8TwBNGyD6rd8bSX9YEQAt0BFjyHkfscXuyTjhFeS7OUHJeU7k56YhHpE9zeYsatUA7/mcS94DrE0iNc5ns1kBQ5MxkWv7smycV5t6+tVOB6pHhecFP2hkLKViFPfJ+PBzS9oulimbD0hZ/uhIR7TvgPBgNqwM2WA5KqSxSqnrAMlIFZFYlQxGwoMi+oW51EuOupY/sS8bNGAGo5N7SF5y14ZBofu5crqhZt46v/tirtuneZTxuHSg8pkXKanAWME28QhUnd4AiZQGFtfQppcXOPCjNn2bclqtCvFmtykw6r47bZqL/zrFbrJHgG+vrO9P1onQ6Lffcc4/8r//r/yo/+qM/uui9TCYjzz77rPyrf/Wv9JqZmRn55V/+ZfnBH/xB+d73vrfo2t/+7d+WD33oQwu/d3Z2Lvx9fn5eHnzwQXn7298uf/7nfy4vvPCCPq+np0d+7ud+Tq954okn5Kd+6qfkd3/3d+W9732v/M3f/I388A//sD5///79Gz4PJpPJZDKZTKarI4O2pmtGwBygxr5tXcuKCrjaR/GXo+X0cb1zeNcSt7AWgFxfjGr/Ng96XUmtNwB3YBFge346q4WyWE++XPCKWHnr6kDg1Yj2aLZ//OASmIYD180Ha3VkdF5m0kWZyRQVuL77ri3q8gQAAiddQTz/M9hb4fClcT55akqhMDCwVKlq3iwZrw5mtyqqt5qICr4U4LlEEwARcdBSgKse/NJf+gH4297XptdX6oq7nZ1KKZjkdZ5B4TC0uSumTlbiAGjHH+Pw8OFRhaFktxKpAKLc3tWm+a4UL8P1DMCdqhXOwnBdrlbUEdsWC+u8EeswPJvXqINjY0nZ1BVXaExf+tujEg2H5C239mvbj5+cklwxp6AYqEu/cMpSAOylsaS6gsm9xSHr9iWfwZmMV6iNImMOfhKroFi1gmNXJBIOyucPjMjmzqjuXyDyg3du0jX7D18/oYCbfcNtzA1xD5yECAdjegoiX2d7VR67xF6lL1V1/wYkALtvAm65DmdxK+euyXQl9P3f//36p5G6u7vla1/72qLX/sN/+A/y2te+Vs6dOyc33XTTIki7ZUvjf+P++q//WgqFgnz84x+XaDQq+/btk+eff17+8A//cAHafvSjH5V3vetd8s/+2T/T3//1v/7X+myeB+g1mUwmk8lkMt2YMmhruqa0Evfd9ZCBezX6uBa36VoAcrNiVFdS9f13sQWrcWNzr3MtJrMl2dYd1yP2F2ayCjYBZ25dSyXPtdlqzjfKGd6sXf4QM8CfZvuyt40c16pml86mi1INlHRcAOmHD4+pg9ffbv3eYn5wrFZqhaKAkA5w4sAFIvJFjLsfrXQ9Fn3xcXFOYS2gEsgJjAUmEjdSD37ri/7xE52dzmiUA0ASl6oriFUKBjQSgbgEwG57LKzxD4BoAC/3M+Zkvqh9DgQoLCZaxIsWyNC9OJtVFytu5Tu2dsqz52a0rVs2dylcpu8AWtyvgFhcpKNzOS/vtiqSLVXkXfs2aVwGIuf2y4dGak5ZcmfD8tP37ZTnzs3KQYBtvqT7c6AdwBzUfUkWrHuGP1+2UiuA1hkPS7AS1CgLvow4M5mSfdu6Fwqv4SD3QDx3eY7afLmqMDpUg/P8oc8BL9K35sZd3n512botjLYL15lM15vm5ub0Swlcsn4RhwBoBeS+//3vl1/5lV+RcNj7/4J/5zvfkfvvv1+BrdM73/lO+Xf/7t+pe7e3t1ev+fCHP7yoTa7xxzXUK5/P6x+/o9dkMplMJpPJdH3JoK3pmtJKnJLrfRR+I3Q1+rjebtNraawrBZ9rcWNzr4s84A/HswG2jI3cUMCmGytFtBpFFKxXX5bq50radTEWc9mS5AtliUeDCtiJPMB96UD0w0fGZXjWy8XFiQtoe8/dQwvuXWAhABBACMwrl8uanYqT9L5d/erCJeoE57zrF1rpHPjhK0XDmGOO63uZq6LQ80P3775sH9TvRwDsQy8ktS23ZrhqXQE45iSVL0u2QP5rVZ47NyMf+K9P6X0kABzIzirUBGLOpvNeDTJ101alryMiD96xWUaTeYmFggokI6GAdMXDWmwLJzLzxr45OZ6UUtWDnrRBnm4iFNK5xKXu/7ID4P2aXf0KYM9MpWRHb5tGPTx8ZEwyhZJmziLyc4mfoH2ycbOFshTKlwcKAOhx3/Lnfz53QcdJITMiGcil/Ytvn9L3+B3wxHOllsVLgTT6yz6H0mqBMN6swdVW0Qj1WgrYmkzXo3K5nGbcEmPQ1dW18Pov/dIvyate9Srp6+vTmINf+7Vfk5GREXXSotHRUdm1a9eitjZv3rzwHtCWn+41/zW83kxEKXzkIx9Z51GaTCaTyWQyma6kDNqarvnM12sNTq4EJm5UH93zyMLEvcfRaYCNe+56wMCVAtLVjnUlz1kpoGzldPZyXYcVQCKOtpMP657tv5ej5sA65+h0mbb+sS7lGG3Wl7U6cFfq5vZiLLIK60Zmc1qQ6p++fqf33uHxBcg5Np9VxyXH8fnJPOHadbEDPBPy2J0IL7gvKTBFjITIlO5LIKS/X7C6+r4uNX4/fCUHFVdwulCVSq0QV6ZYUkeq39Hb6LOHC5UYA5dP/LnnLmqe613burUIGkf+v/TCiI6jXK5KqlSWo6NJfV5bNKwQk/XHyfrU6WmFlgBvcGUoEFRgy7y99dYBvY+8WhIEKDoGICcu5Ffecavupa8dHlPgnMdxWqoowAWWcr0rwMgYLmUCBxXKvnP/FnX+KkAFwpYq2j+uBaLfvqVT28clXWkSMcD7AG/iHYKhgLqVR+dz2nf+cI8XpeC5aMmhpTgdkBh4y4sac1C3r4zD3tjyvh4wNRNFyX78x39cTwD82Z/92aL3/A7Zu+++Wx21P//zP69QNRaLbVifgMP+Z+O0pciZyWQymUwmk+n6kUFb01XVWtyH650Fu17jaHQsfL1jAtzzJpM5OT+TlR19CTk2llI3nz9TdC3P/sKBYfnkk2e1ajw5mwCi9927Y93XYyV7YCWAcqnCaDz3E0+cWSjURSEmXITu2X5YiJuSvE83t3JsYsVz28yJTD8+f2BYZtIF+Xy2qHuH4/HLaduNkWzTCzOZywqI+a9zYPToiFcY7P5bN2lfAJHAWK5hfA5yUqhsbK52tJYCVA3WAEdnMluUVL4ksXBQ3nLboPaFbNw37u3WfNX68dbPwVLr74ev5K4SM3DgwqxMp/KSiIZ1bYgQwJHqv79+PxLLwGcEYHtuKiMd8bAWD3vj3oGFOIID52dlbpSYCO/oP47ebBEcWdZnAXT5ScEyxo0Dmc/G1p5LEQ18BoHiqVxJ84L5fagroRm5/PmN994pr93Vp+MZ6onr+5/67nl1DBNNQTbud05Oyev39MsvvHXPwtjdlwNA20QEiFyVZK4kvW1Rdefikv7msUl5220DugasCf0jWoERwNhLNWdvpSwSjgYkKAGF6xrpEI/o/IJfoxDgQFAjHyiaRqYtrl4tQFalEBnw1ysYxmcGV3EmXxadKpPpZQpsz549K1//+tcXuWwb6XWve52USiU5c+aM3HbbbZp1OzY2tuga97vLwW12TbOcXAQQ3kgobDKZTCaTyWTaeBm0NV1VXQ+5tCsdx2PHJy47Fl6fs7rWbFP3PEANgAXYxu+4IZ0Lcq1H8IFHE/N56UqE9ec3jo63hLZXYg+sJIJhqcJoPJej/zhJEXDa/+x6pybQei3xBs2cyPQDYIsLFAgKgJxI5uVd+7csK/7BFdk6NZGWu7aFFxUQc/sNJ+rjJya1kBUQDzclAK6+eJd/PIx3ZD6n8zLYFdNCZgiHLsfzXxqd135yHdAON+mjxyfk1s1dWvCLvgP+cX2OJXPyxYMjCnWB38OzuYU5+Nijp1quv79friiY5sNmivpsnK+JSEiP8tPOyYn0Qm4ufcUtyj6guBqRCDhsAbZubohHYB55Bnmxv//VlxRkVgJehAHEc0tXQrrawpIrlCSZF4kGA158QIVCZDH5p/ftXMgO/pNHjut6krtL/yaTBckWKnL3jsKicSlIDQU1coL5YH344gAIz3i+dMg79vyRH1pcGR5HONfpunTGtRgbzwPSAl35N2BaIx0q6vrriIekWCpLvuTPnq1KNl+WYJBrKDRW1fvZG+59TLUdsYREgkGNZPDiKAIKaYlpOD6W1C882HuZQsWA7Q0uW97WwPb48ePyjW98Q/r7KSLYWhQZCwaDsmmT92/q61//evn1X/91bSsS8f57RJExgC7RCO6aRx55RP7v//v/XmiHa3jdZDKZTCaTyXTjyqCt6apqKQi3UsC5WiC61ucAh9w4Gh0LX+9sUzdvQBpyKnHrMX8QmMl0XmEQrxGfsCZhN6z93Kj/o30lIHYlEQxLFUbjuTgRndMWMOl/dj3EBMat5AuG5UZ/8B4OW3JEgWOAvlOTKd0jqNE9ru2/fuqcnJpIKTxEF2eyGtvgv4fryDmlfa7qioUVejYq3uUXURGNcno9kOk9zyteFZA9g51yciKp8M8BW+aP+4fnvJgFXLvD8zn52Tftkl984JYVrb8bLxEHFBEDFBILwBcUwUBQu0PmKxEC/uxa4LJ3bVA/l7hqiUTAYUubHPvvTITVvco6AXbffvtmzePFn5rKFTVOIFkoylyuoM5TohQAnrhWgew4VB+4Y/Mi5/NpjXKo6JcqOFzZhwDzZp9/+oZjnr6zlG3RkEJTHLfsO/rFGIfnPPj8gft2aj+Yq6dOTcvBC3P65Q3Q9exUWqMWuAHjbLlUVQhMxu1CDq3LlS1X1UGNY1aqtUwEEQlqbG1Av6wJ4SbGSVuoaPwCTmP6vndzp2zrTcgLF+ekkL88P9d0Y+nlGo+QSqXkxIkTC7+fPn1aoSv5tFu3bpX3ve998uyzz8oXvvAFzfV2GbO8TwwCBcSeeuopedvb3iadnZ36O0XIfvqnf3oByFKYjOzZ/+1/+980E/fQoUPy0Y9+VP7oj/5o4bm//Mu/LG95y1vkD/7gD+Q973mPfOpTn5Lvfe978rGPfewqzIrJZDKZTCaT6UrJoK3pqmopCLdSwLlaINrsvmYwd3EcwpyCJMAH+ZSv29UnY8lCUwi1Hu5iN0+4CgE9AKG9mzoU4Dx3flYhCzB3bqgoq9UDd2zSI/c49gY7Yvq7X+vhGPaPxR0XB3YBqhq1uZIIhqVgIG27oloACZyk61n4brl7kWcSiYDjs1ItSjBMlmmHxCIeMG3V9ngyJ1PpgoQCXhExQGP9PawPsHE2Iwpuk1Qd378YIDdby0b9xbW6a7BD9+/nD1yU8fm8jMxlJRwKqQvUf89SbmY3fn9xM9bfZbr6x/v5AyMyk8nLTBqQWlGwWa5yZN/jjXsGvMzXIyPzWgyNLy4mkjmllG2xsI6dOSbDFnjrCpDxOs5VGOZnnjmvEHpbb5s6s+ezRfnmsQn9jFFMTJ9dri7kxPKTKALcxLjQcRY/c25GQbEXVeLl3XIdYJZxNfr8k0lNxElAqjKRLKhzFideIBiQkxMpHf98rqhjJo7hp16zQ/cfX8ocuDAj+WJJipWgMGMAWyIjeCaAPRAkkzYsbWWiHioe6K6BWaAuQ+H7Hv7gwOb3MC7ialWzc/vjYY16cBm5gx1ROTWZ1gxt+sP+Ywy03UqJMFnIVf13yXT96eW6aoBRgKuTy4j94Ac/KL/1W78ln//85/X3V7ziFYvuw3X71re+VeMJAKxcm8/nteAY0NafNdvd3S1f/epX5f/8P/9PefWrXy0DAwPym7/5m/JzP/dzC9e84Q1vkL/5m7+R3/iN35B/+S//pdxyyy3y93//97J//2InvslkMplMJpPpxpJBW9NV1VIQbqUZpjjmzk6l9HqXz7kcNXtOM/C2KA7hBHEIKdm3rVth3qt29i7KBq0HgSuFfyuZNyDOjt6EOhyBX2RorlYc2241jqWgZD0IdMW76sFgo+Pv6xHvsNQXAjyXI+3uWPta21vt3qUfZKoyV+xfACIZo61cp+TNHrw4q9eoS1ILTlUlnS8r+PaLuT7Y5uUazqRFXbY4VpnrRl9CLDXvOD0fPjyq8QhtkZC88qYeBXpAPApt1T+7lZvZjd9f3OxrR8YXZQu7uQTYzmaKMpMpaH5qPELObkBi0ZBGSbgcYAA4xdD44oL5YG442g/ULlcrCwXI7tjaKY8em9TPTCJSlUMXZzWmANBKka5dA+2yqSuuYywDfUsVSReAo1UtGIaYel530SFEikwlC+rqpmhaqVKWaiAgsVBQHjs+qTEVd2/vbvj5J28Xp/J8ruRFEQQD0t9OLna7fPf0lCSzJUn0JtT9+umnz8vm7oRmWp8YT6vTOhz0+tUZJc6gLJWK6BzsHuxQ+DxZ8oCtE1EHek9FFsZDXbVcmQJpVd1XXE4ERi0xQfO6cXYDwZ87X5I7tnQo0FWX/xLCq8/4lqNaKoXJdNUFeCVmpJlavYde9apXyZNPPrnkcyhQ9u1vf7vlNf/L//K/6B+TyWQymUwm08tHBm1N17RWmmEK8CK/9EB2Vt2hD965eU3PaQbe/NcDknoSl+IQAD/+499rhX8rEW7bl8ZS2mfGsWew/aoB9XoQCEyjQFOrglvrmXG8msJordzDK21vJXvXtc3zeH6rvcH7R0bn1fVJnAJuyaBU1QUZDQdcckHD/TaZyusakIMLJGz0JcRS867ta0aC6NH5H37FtqZZx8t1My/1fObyHzJehARqi4VkoD0qIaDkQMeifdQeC2scAW7T3vaIdMYiOv8AWwBjvq0sXz08ru54GCLxCMfHUgpkgc+8xt9fGkvK+3f2qtt0Ol1QMMp7MZ+ZHLiOI9o/5bidmWeydsMhSn2J5DQrtrrg9CVCwq0xX2Y8cmRMISlxC7dv7pQ33DIgT56c0pxg5gOwyrO8wmglOTdT1rEDd3mdPwBaxqmO16oXewD4vTiTkVCQiANiJCq6dFxLJm+msDj2hOtdZAJzGA8HJVOsaGE57gH+ZgoFaS+UNTaC/cdcLQew5jSPYXkyYGsymUwmk8lkMplMBm1N17hWmmF6Ux/5sgnNt6RYznKBaLPnNANv/usBtoCw5TpnVwMTl6uNBMIrhZL1IA53Z65Ykgsz2YWCW7gO/U7X9XAhryXCYT3yhteyFsvZG25ee9siCtGICgDadSei+kUFWafN2iR2goJn9XDUX1yM4/ev3923UMyrft7IVcWF6tqof179nOPY5o97jZ/+9lwOLDEDxHH0tnluXH87uHvv29UvT52eUscs8LWrLSIDHXF12frXNJ0vqcMWyJgtVOVNe7rldbv75VNPn1dge9+eft2D7MfBzpi2OzzLniyp4xQYyR8gJ/3E1Yz7lXxb/oNJpmtnMKBwlCJ9/b7oEH4eGp5TyAsAjdVyZoGtnV1xjWNgvvxf6jDPQGTWlD9gafrX2x7ViAZcu52xsDx7fkaGZ7KaLctzde2qoq5jIGe6BpG1KBtwOei5r1P5siSiRCF4kQnA4UAgKKVy+TJXKyC3LRKQ9nhYC5Axl8pxKxWpBkMKpGmnUPLiVy5O5xRIE7ewtNe2ueiTpSaYTCaTyWQymUwm02IZtDVd01pNhingg4JE5FsuN2O12XOagTf/9Q4uXQlQupQ2EgivFErWA1iOz3P8HwBGZiYwCwemH9o2anMt2bkrhbBX2+m7HDEH8UhYklnv6D+FrlzhOVzfuDybZQI3g+I4JsltJQ+VnNLnz83KTLbUcN6WAuuN5hw1Wweu50sPCqRdmM4oMGUs5MMSleDueccdm+R1u/suy3Gu3yOjtWJdFBmjHaDqpdzgSXWwAkTZj6PzeXXnE0OQypckRwGvAAA8IvuHunTu3nP3VjkxkVqIQgBsdiWi8s59/RrV4NzH9AE4zZ7muYwjHBBJFYCmYc0VdkC62Z5T92q5ogUGgca4cikIR9u/9LfPyamJtLCcbdGwQuZMseQ9v9YW7uJYqCKVSi0KoUZkGRtuXV7Cmd0e5PPn/Q6U5S8A3w5gbchzMQOXO+NhGeiIaoE7CpmViVKguFmloi5cisGl69y6qwG2HbGwzOW8sTgB3R1orheQWNYIik0mk8lkMplMJpPpWpdBW9MNo41wmS4HvF1JUHotaalx1xeYovL8c+dm1L0HDAJ0BZbR5mpybh3EU3dl8ZK7cikI689rBZrdf8uArLfoG0CS/FPnzgT2+eGqH0LiguVIOwXAXDZwoZajiquTQlAUyeI1juoDQHHTNpqrZp8Rsl0VcLZHteDVM+dm5c6hrobweqnPWSPwDXdrBsO5nkiDcDCoEFXHftjbM/576h2qzfYIRdGYsM1dcYXKuO/Jkv328Qndc9OZghehEA1pRAKAtiMaUhDM+xR1wyH7xKkp+T/+6hl58y0D8vrd/fKdUxSKqwqBB2+6ZUAzcf/mqXNaaO3CdzK6RnwBgfOX14gBofjY992xRV6xo0f73+iLCFzGfCYYI9B1S1dc58Hl+6IXLs5pwUMKHYKJx+ayCtfpO8Xr8sWKAkw+TzhxcfkmIkEFsWTh1rtY+eLEveSgKHsItzZ5wgg3b0c8Im/Y3S9fPDSi4Jb8Ti7HZTvQGdVTDfPnZ7XwWiNwy472/LzNxfOBs/VuXdpjDPQdkA1sXrhniTZNJpPJZDKZTCaT6UaQQVvTDaOXIzxdiwt1o1VfYOqbxybVOQjdKpTKegyfjNOltBr3q3N7ZotlOTmekuG5rEYHLAVh/Xmt/Fyixsyq1obXPvnkWS0oJYGqRgIwT/6963erEltAR3YNdiyAWDJkcWD+8qee0+JQHVEAW1jdpQDJZnPV8jNSrY27GlCgCfA8OZHS/Fucn4DRZsXk/GrkxAUIN4Ph7noKCDIf9B34zDO5fzlRGfVuVSDi3sEO2dodl+fPz8pDL4zodbhdEQCfLFacyW/aOyB9HTF5xU29CgeZz2ShLKW5nIzN5XX892zvlts2dy6C7B/+9PNaYK0rHtGfzjXeCGrXz5GDzBQ9Y3w4zzWO4c5NOhZ/hAVw/uhYUp21LhaWQmEJHU9Ux+AgJq5Z5g4ATkwCe5Ds23IdtfX/5uIR2OvkA0+kcjKXKSoQPj+TlSdPT+kzAMFtkbC6sYNBkf1D3XLzQLs6cCncNjqfkzxZt9VLUDXc4NmXbTsFzeWFQmh0CEBL0TLmZFNnRC7MLI7gMJlMJpPJZDKZTKaXgwzamkxXWVfy+P9KnrUe19YDV46q/+ybdq3IDb2anFv33IH2mJyWlDoYlwNhl8prXYmarQ19A1rjZES4Muvhqn/eAJ3ePCwGsbSv/asGJFUoSSIaUrCIS3OlmcDfd/smjQmgX4NdMfnJ1+7QI/hfOTSqNA9gx1iIGHAu0Gb7rRG0xFlcD8PdniFbFscrR/ozhaRGAND+++7dLifHvSxkogwAxsvZI6w1hb7oF3AUh6xQhCxflmSuqJASIKlzXyprZMJ9u/vl3FRa1wLo2xb2CogBJIHqmUJJ7treo3MKYF/4HPhAd2AFnxm3vuTRnp/KSLla1S8WyCl+5U29cmQkKY+dmNBic0QRUNTM7y6FbbKVuT7fnZCx+axGN7RHw7KlO64g+aWxeUkDWAOXO14dqOUnxeuA3LGw58x1hRVxp1dPTso8wFbIsa1Ioei5eLd0xtRRDIx/7PiE3tfXHpVMmDzhkmRrdBm4vBwtxDtQVC/guW/pG87mZLbYMCLBdGVVfyrCZDKZTCaTyWQybbwM2ppM66wrWfxqpS7U+mcBXYBQjfq6kn41u7YeuJJBulI39GpiL9xzz8+kJRELyT3be9SFuhSEXY9CaEtFM/AMXMbOaYsDGEeov/AXkQiuH1wL5azv09GReZnPFCRXLku1UpXNXQn5lXfcqk7YlUaE4NrlWHy9O5T+hMOX9tdLo0kpVrw9w96hD6h+/9SvcSMY7t8zjGtTZ0zGknkFqYDdl0aSMpkuarEwQDHjarZ33Dhd3i2gl/nkZ48r2FYtKyzG3Uo8ADwR0AjAHUvmvEzfYkWqFS9qIFvwMGm5Nt6x+ZwW0PuLb5/StQ1IVXrbiSeoKujGNb7UZ8btDeYNSD4+j+O3LKGgyHy2Kl87PKaZuZOpnIzMZiUeDcl0DZoGat84AGxpHxfq2Hxe9m/vlsRESPcC2bkTqYJGZFAojQxaKGggWBUwdakGReHnGk8S8GIRejpi6jje3tumERnnZzKa/XtxJqd5x+xjB04BvPlCSZ46NS17NrWpKxinLBm3Pe0R/X21ckb3aEBkc3dcx3NxJrOoWJrp6sjm32QymUwmk8lkuvIyaGsyrbOuZPGrlUBGgBGFwDiGfnN/h8IrjnS7+IL6vq6kX/5rOVKPQ5PXyIilgJQ/z3M10Hu1oJd+AKDCoeCyIOxyAXF9H/2xAWSUkj+LO5Lj5XJySgY64wvPpk2XSVutHbdH/j3zttsG1H0KdLxrqEvu2t4tE8nCoj4dGp6X4bm8Aj/gHM/juPxqIlw/Q4kAAQAASURBVEIaFda7lLdaXthfgN1To2ktEkWuaTw8J4+dmFSHarQGcv2F5Vrt0/r9BXBlT8bDXtzAt45NaC7tvTf3yvfOzigo9a9Roz3ixQ4kFRziVgUA41YtVqqakRvBQatF8Mq6Bl3xsBYlA6BzDcByLluoZfCGNHZiJlPUQl7HRudlLltSpymgnbYHOmPS1x5TJ/Db79ws//Wx0wpcHdQ+MZ5q+G8D46xlcej66fWlihY2+5/PXdR+BQJBfb2zlr/L1TPpvGRLFYkE2c9lBa6ZfEnXCYdxdyIoqVxR18ZBNpzDgNoE2QOBoAJXPvP8zlzQPuN+7a4+XTvaJQP43NSUAtRkruRlztbIKRw4mS/LV14ckdzzZXXTtkWCOp/pwtr9mMFAQPeFFiGrVD1Hcg2gm0wmk8lkMplMJtPLSQZtTTe8rnTu60oh7FrcnStxoTIHHPWmONKB87PqDtzek2ja15X0y38tGaAAKRyavMZR9WYFpNbbeVwPIZkP2luu89Td5/bMxx491XDP1PdxUWzAxTnpbovIfbv6RWRKYuGQZpUCtf7kkePaHs5WcmmdeN2/Dt8+Nqn5pbhMcZsSVfCLD+xc1FfAY3sspAWpcDrS/nrIPzaOum/rSchAR0znD4corwFveR7uU7JhO2IROTuXkT//1ikFjW6+3DwCL13RL9zWbl38+ysUDMjhkZQCYAAmR/+B3tPpgrpRd/QmtF9OzaIn3DwSL8BRf9pJ54tSCockV6poDAMwkuu2dif0mP/nnx+WM5NpHRMZrDf1t8nWnja95oULc3o98BPLJyCRKIpcsSTjybzctqVrwQmMo/f8dHYBas8NFZu6rxnvUE+bHB6Z03l0oLWsa+k5W+dzQWmLhGRrT1wGOuIy0N4vBy7OyoXprMJaIhF4LivPdcfGk4uALdI2KbAWJOs2IOmK5zYOB0M6rpv62xWOD8/mFkVWdLeFdfyTqcJl8QT8zr8jxBmAaefLZW9Ow8E1RxkAn4mlIM6it60spVLZXJ4mk8lkMpleNrr5Vx+62l0wmUzXkAzamm54rQcEXIlWCmFXc/y/HkR/6P7dS4JorgXQDPUktG8AW7JMqVDfqK8r6Zf/WoAbbsTVOIcRgG8ymVNXJG3hwFwLnF/NWi+1Z+rBPJALwMrvZKMSh/BIfkyjDX7qNdsUZLZqr37PYMRcCvzfvqVLTk96R8dp/7YtXqGstareNT2RzGsWMdo92CEnJ7336ScgEyduKl+UfLGicNSBVcZXH4Hw6p29C+Ou31//eGDYO7pf6wdOy95ESPcAwNYfM+E5YS+fH/88umzWN90yqOMAOFMsi5sppMV+Yd0eKFdkoCOq4LMEtMXhWRWFzBR1m0kX5IWLBW0fMErswPh8Tq/Z1BWV7b0JjRIAyOJa3d4bV1APAMb57N9P9e5rXOjvuHOT/N6Xj8p40nsG/ajUYgwoxjXQF5M37hlQ2H10NKnQnL5j1OX9QC3gNhYOSK5Mtq6HOB3oZD5pi/lXt6xmx1alWih56z2ZkuNjKXnx4qw8eWpK3b78YV3jYeAuGcRVBb9OgGGncNCLXaA/4OK1FO/z95v5nU6XPCdy0Mu7NV09XRvlLU0mk8lkMplMppeXDNqabnitJX5gNaqHURyd9+eV1rs2W4HFZiByNSDaAS3u39nfoQ5D2qvPMl1Ov+rlv9Y7oj666lxYHHyALedWJGt0OfLPycELc+p+BTauxl3das+wJhxHx1F7YTqjrlrAlvsdp2gM6oqqVXUgLrUH6/cMR+u/evhymO7fD3ds7VRod3oqrcfzybNdDy1yTU+lNWQUgH7wwqzCzbE5L4f1tTf3yZv29snfPXNRc0dhh4lIWOMBXCxAq3HX7y+iO3CweuOsSK5UllSuJP0dRBYUFYwSZeDmotEXI/55BNiS7eqKk71x74A8d25Gzk5nFEiCByeSOfnEE2fUaarPyRQlVylLtliW587P6pjIdMUh7MHrqHRTqKxW8IsCXPSL/bqjL6ExCqz5jr649mvPYPuiebh3Z69MpwrqrAUIn5pIye1bu/T5U2kKbnnAGDHXoUBAoy+I92BPPHt2RsfmrlEgWwO9czlvTFrvTQGq9z57k3kFGGtBPt2XHvDFcUt/SB+gSBtfAvAFAHAXOJ2qQVnXJp9J7uN5LmfWuW09MLzY5btW0RZAGGhrurriiw6TyWQymUwmk8l0ZWXQ1nTDaz2KS61E9TDKQczVOH2bwdnVgOhGztnVOlFX+pyVqCsRUQDmckEBZstR/dF4HIT7tnWvyl3das+wJmTWAmvnMiWFbxw9d793xEJy945e2TPYofdz7LxRe61iO3iP8dfP4eL9UNHoid/50btkPdXMNf3oS+Py3dNTCgzDgYAe03/lTT3ys2/aJR9/7LScmkwr7ExOlxZiAVby2SPbl/gOQGuCSIDumD6LCAAKhjG3+7d1L9pP9fPTKJvX/+XJI0fGNMJhpJKVjmhIOhMRhewAWUAu+41YCr4oAKwi1vfubd0KbNXRvLlT9+jOvjaFmZ999qLuV+IwmAMKiNHerv52yRRKGn0B5Cc6AfBNpEIiElQofHw8KYMniMLwAKo6Vstefmw4GFQIDDDHKfzwYe+LkEAd1NSCYgphK97fHWgNBnSMoVBQhroTWrRspDYmxPcK/igFdcpWRSMk/O0rNA6TMeu5kBeu9/XD8byNijEwl+3Vlxa1M5lMJpPJZDKZTFdUBm1fJrrSua7XktYKEa+m07fZvasB0c2KTa33flgrCMY1emwspRCLfFxcm4DvpfrY6Gj8at3VrfYMc0aW7L6hQW0bQNfbHpa7t3fr7xyxx9HoX5tG7bVySzebwyvhGm/mmh6ey0qh5OBiVaZTeS0wR14xa0RGq8u6dbEAS332/PtwqDsu73/dTRozMDybVTBK4S8yad+014s4YK7/4zdOKAD15+M22he85uaZ9uXYhLzn7iEFr3/x2GktPgYUpagYTtdQKCCzaTJp0zKdJmMX53BIM2gpZoc7fbAjqm5dV3jtg2+4WX7yNTt0ji7MZtVxDMklKuOF4Tk5cGFGIuGQvg7wpN8A2blSWSEYoJW96pyksXBQ4hGRrV1xjU+gqBgQFoBMcTbuYVy0xb3qitVCdFVdG6ApkD0aDuj8/cgrt2tsBvP/10+dWTQ//rgDF5nQSPh3A+WK5+itOXj90nQGV1ftCsg5fE1XVsZsTSaTyWQymUymKy+Dti8TXelc12tJK4WI6w001+L0bXavg1/kveIKPL5MsHk97Ac3tq8cGlUSBITy56QudV/90fjVuKtb7Zn6NQEyU4jK/U5OaX3kRKP2VgNgV7OXGu1ntJw97p/Ts/rMtJSrVYW2/JlM5dVJSnwB0QW4Uv2xAEt99uojLSjAlcx67uX5bEnzYplLf1TDWDKnxb7IuX1pzIth8D/DP14cruwD2nP7nDEBlr9xdFzhHw5fgCPZzt7Rf5cLG1DACkjdPdCh+c+f/M4ZddOSXQsifeTIuPzhT7xiYY7yhbKMzGXlxeE5GZ3LaTQB/Z/PldS1fBkopTAaYDToOWsBwTi2337HZvnn33+H/D//cEi+dGhUoqGCAuZqtSKFMh+LqsQiwYXsXJy6mgcc8OBrusD6FGUqnReRToXMU6nlxYw0krqrQwGpVqpSrC9KJiunqDiB+xIR7fd0xsvWXa4M2JpMJpPJZDKZTKaXiwzavkx0pXNdr2etN9Bci9O32b0OhnlOyKTMZovqTi3W3HdLwbiV7Icr7dJ2Y+N5HMte7p5tdTR+Pd3VjTKLHz02cdnv1XUAsIzjCweG5etHx/X3+28dUCiMw7WZc9V/PUASkY/r389oOXvcP6dDPXH5b0+cURBarYjs2dShQJS9R7TAtp6EDHTEFvVrqb1TH2lxaiIt7dGQxCIhBe+v2NGjblp/VAOgmGxVYCj3Oie2ewYQEwDLe4cuzmk7+4Y8FzTt8Pz33btD//jnjfY++shxCZILW3OvAqbftX+r/Nq779BxEDEA2E3mSgpkA3Vz9OufOyjfPDahn0ONKgiIxhsQJ1FqYBHlfWYD+EqGbKlS0mfiMPZHhRCZQPEzsmedu1UhcLmqebWlskgsFtb+JIlUqM0PfabAG1m5q4kYCNf6jNsW9/hygSnO4UgwqFDWZeD6RQLDfK7ITJtz1mQymUwmk8lkMpmayKDty0RXOtf1eo5zWA7QpH8PHRxWpx3Chffee4aaHtNeLfRd6t76vtIf3HxLwbiV7Ier5cpdLtRstE9WU9ytlervcWDWHbv3t7HcDGO/45N8UUAfz/H3hWd+8smzepSf4FIyX3/2zbs1kqBR/yjmdWgYxyoFqbzrt/e2XbafgWQr/RLngTs2qxsWVzfuYuDqxbncQhsA2w/dv1v78bFHTy0A1C+/OCYzmbz8Q6aoxeEAoG6M/jUGxnLkfzJd1vkoVyoKbJk7xve7Xzwij5+YVJhKzm2uUJbTk/Q9raD0pj6vLe51Y2P8FBdbap+7/UI2byDoFeLCA9vfHtXYC8ZzdGRetnbHde6yhZLEoiF52+2bFs3/k6enNfuV+4OhgATVrRvQXNkQeblS9eIEasAWWAuIrqXTSjQc0tdx6+KyfeLkpI41nS8tAFvEXysVkVDQA8v0f9dAuxaICyRzGs9wYSYr87nmpLY9ElBXMfOCLos9qDl3yfj1v69r04SyuqJovN8ZDWq8BC70RlS2WBYJhda3cJnJZDKZTCaTyWQy3UgyaPsy0dXOdV2prubx/eXAQvpH1XlyJgl0JM8SZ9uVjhio76sfWDWCcQ4uAd62dMU0e5Sj7K32w9VyaS9nz65mn7S6p5FTlRzU+nuAj8CoRm0sd74AbewZoBjX44bFJe3vP20RGdCV8P6p5ph7o/Zc/85OpWQ6VZDORFi64l6RLZAge6N+P6/0SxwgNWMGCPKT/VPfbv08sR8BtuS2kg0LdOUaB2KBugqsSxWJh0MKKCtA2apIikiBGsj2F3+bSRfljq1d0hYNy/BsRjKFijpfKbbFc2nL9au3LSb7h7pbOoC39cS1H98+PqnZs+roxQEbEOmIRxZcynzGcawSy0AcxBv3DugXNf75p/CYi1UIBAIao/COO7fITKYgF2YzcnI8pX3TQmOhoOze1C53DXXLw0fGdOwdsbACzhPjSfne2Rl9nsuvbaRIEDDs7Z+fvm+nQtb/9vhpmU4XdEzNxJ7o7YhJX1tUxpMFyRVL6u71A1ScwsBX+srfFUTzAKk2hbbuiVw7kynJrJTUtdyIzOLeLfO/ViFz55pMJpPJZDKZTKaXgwzavky01uJQL6c4h+XAQoVp5YqCMQRYu5J9bAZf3dHwZjDOD9V4/65t3fq6c0Y2cp2u1aW9Wtd0/Z6lHf8xeNpptU+aPbfVPY2crS5uwn8P8w68bNTGSubL3y6FtsjxdUW54GO4O4GXyVxRQVlfe1RjClq1Q5YqEBNRZAs3aH3GrtNKvsSpnwMKgb16Z++iNthH/msAoA7YEnnQGQ+rG/hS3mxOi7oxTzhGyZ4lTzaZLyuUe+iFEfmfz12UwyPzCnNfdVOvbO1OyG2bO/V9cl1xvT51elq+e3pK56w7EdUs3L2D3eo+5TWe4xfrTLtnJtMynszrM9tiEY16WMhoDQR07okaoP+AzbZIWN50y+DCFx3sJ/YZYwKYD7THJJMva+5vexRgu1l+4713Llz3y3/7nLxwcVbf60hE5M17B9RNfODCnORKVc2tZY1xEWfyJe07vJZiY+r+rS4Gl+Tt9nfE5c23XALIuKGB47FwUTJNMhG4dzqZk6w+I6AZufUgVIua+f7Os4HIy4GljhdXN6iClQFbk8lkMplMJpPJ9HKQQVvTNamrGedQX3Wen/Wgkf5RNMg5bQe7PCfflVI9fAWeOfdiM0DXCLxxNN85PZs5Vdfq0l6OG3Y5YLdRO632SbPnunuApOemPWelK+LWzNnKPcAwcleBkOS3kuPa6LkrmS9//+kLlkZyfHFe8veb+tsVHoLUOuMh/ZIA12P93AFAD12YU1cmkBGgihsVaIhTuBEkd/vFH2fgn/f6NcGR6p9rF11QPx7/PL1+d7/ct6tPoSp9ypcrOs6x+ZycroHfd+/fqi5WXKnA5lyhpI5OYh2IP7g4k625Pqvy5Kkpfe6Dd27W59GfiWRe38+VylIgPxWXbr6kwJbPQqM9wJgcsM2XygpGQyEvlqHIfxhDAZ1HflIAzX3O45GwAlv/uJkj+j+XKUlFquoGvnNrt2zuimkmrf/fj/fcvVXX031uGYvO70C7gmbmdmd/uzx9esqLJXBrXRGJRgJSKHr5sNGQF48AlN0aDsgvvHXPwroxp/wBsLIHG7liaYP6X/lKWRKRgBSb1AJTI6zvfoOlJpPJZDKZTCaTyXTlZNDWdE3qasc5LAUa6Q9Ht8mQxaGGm/FK9rGZW3QpR/VK4xSW0+Zq+7pSsNuoHTJUm+2TZs911+BqhfaRKcqz3fxwbP3CVEaLKPW1RTTHlHuIRDgzmdLCVsA8IGb9sXu/qivc567QFv19adSbgz2DHXpUviMWknfu26rjoAhZ/dzhJAXSARc3dcVkz2CnvPuurWuKiqh/jwJo77lri5ycSMtspqBuYwe7HTCsn6fR+Zx8//4t8rrd/TpGCoMdHZ2Xi7mSwlIcpU+enpKBjrj8xGt2yNHRpHzn5JQC2KGehJw/nVGHaVssLBlCUAMiO3oXz/ennj6vRdFOT6akUPboI0XC6F9/R6zhHmCd1VVb9XJk6Ue2UNZFU8cphbvKAV37jlhE57U9HtLPC4XP/EAbNzQQn3iGU5MpiYeDGtvw3LlpfY0xMyf0BQf1g3dukuHZnDqmccZzP45uAP3O/g51zlP0q34vUdirsyMkbdGQRhkQxcB+OT+dlT/75kn5yA/t12uJbjg/k9U5IEs3LFXNlp3PlRY5dZlX4hV4FkB8tbKoApPJZDKZTCaTyWTaGBm0NV2TutpxDkuBRvr3Y6/eoX+uJydyPQwHPJPZ2aid9SoG5+8r7lQKTv3JI8eXHVnQasyt9kmzOXL38ExcrfUQ+KlT0zI5n9cszq62qBaWclEUuCjvvalXvnduRnLFlDqc6+dlqczc+jl177kCZvQFkAhQ1r+HgurObLbWtEXEwObuuK7n5q64/s546rNbYXPDWjxs6XiJ+veAxRRA8/qZVOh5bCy1aHzMA3By37buhfsAlK5wGsW1Hjsx6eWt8oVBOKgwEiBMFAD3/tz9u/Xv3EcBrufOzXjAtioy0BmTd+739rAbF0XRgKKFYsVz2RIlUanq6832AGP/9NPn5emzM2pZJX4gEQnqvGcKRQkGgjoWxpEvVuS586Jgdz5L9mtx0RoDXOkwzl7uAWiTKVsqEyWQ1Xk6N5WRnrbIQhYuxdhcGzh6uZ+129IVV3AdonhZLQ7BGW4BzMk8oNYrEBYK4tgNabTDkZF5nVv2KOPH5UtMQ5hCYjhy86XLHNr8To6uezkc9Ny7JpPJZDKZTCaTyWS6NmTQ1mRqoKuV47rRTuRGObFktjZqZ72Kwfn7CrC9OOuBrEaRBa3mu9WYG833UnPUDAIDP1+3p38BOn772KQeVSfXFAcjQA74TEEq59CtLx5WD0IBeX/0tWMLLtJ9Q92Xzam/v2SdOnB5/y0DCtiApq3GgVOXeADgH/2jqNY7/+hbMpkqaLatOkWDQYWLen25ImNzOXny5JTmwQJMeVazqAOcs8xzM9Dr1sA5RwGnuDjps3sPB7FX2MrLUMXheduWzstiDHD0AnqZt3//lZc0XqE9GlI3rosucdczVnU+9yYUQrq1+ZV33LrwmavfA7z+A/dslfPTaZnOeJB310CHTGcKCwXBiFj47qlp3Q8Ab+4BNpMf7Z8D7mVvnJ1My/npjP6dtVNkWyjrHABs2fP8/sUXRuSbL40rgO2KRRRCA2BLpYoWeKPoGLEEwFyAaqnkRSJkCx7oZp03dcY1OoI8X5zhRE7g6NX3y1UJUMCsVkgsErzkhHWuWIAwe8rPaPndve5PZlhK9W2bTCaTyWQymUwmk2l9ZNDWZGqgK5HjuhYtp0jXaop9+eXAFMe1v/rimBwe9o55A8MAV6vpKw5b4FWzyAI33/ffOiif+d55+frRcX39AY7m3z3UtK/N5rvVnDd6JnPooCOADvCZLZY1S/bem/so36Q5qEDB+/b0y4WZ7GWu4EYwGGD7pUOjmteaL1elty2rOab+e/3z5CCnHosPBRf62ih/1r3nYgvIMyXjlufNZIraRmE2I+3xiK6lm3uiPc7NeJCRKAiOyvvdmPVRB8B2nt8MsNc7RykcBnz1Q1bvKD75rEGJhUMKM4GxDx0ckQMXZhV0Av+AjtzHPvs3P3LXZWtXD45jocRCNvN81oOw/8dfP6tu22b7dTxZkFfu7JOR2aw6VCfTBSmXKxo/0B4Nqzs1Uyx5cRTVqmzqiut4ybRFbg4YE6AXBzORD9liRcdAdEEgHJA7t3Zq+xq/EAhIOleSyRrkVNfu4VG5dXOXAlOANvuuWq1ILByW1+3q1fafOTut+5Cs30g4qLEL/J4plKVSLqszvFEsbdDVVCMHF1dzKKCZzRQfK2po7iXYyrrgfG6LBmv5vB7whRUvR7SDDNyaTCaTyWQymUwm0/rIoK3JtEyYuRL37HKO+6+n1lLsq9nrDs4BbMlM5cg9IBC5/MyVaqnIAifg6SefPCsT83kInkJU4OVSgHkl893omX7oODKX1Z8d8Yg6bAG2A51x2b+tWx2RANtGruBGwJ/c1WgoIF1dcb0PALqlO9HUwd1oPVGjNW60V3/+k99TIOgAGkfkcWhy/N+fZ4yrExiZzBW1qBWQ/L33XCpcRpEvXKyDnXH92SpHmDVg7ogFUDBYmwsXf8F7fe1RjXvA5Qu07m+PaT7r987OqIMZ0a/Do+y70cu+mHjo4LDC5uHZrMZWODcv8QquAN/TZ6Y1LiAWDmr+bP1+XeQIns0q5MWdi2gPkBwKiSRiIdk90KGAE7DLXOzSLNyCPH58SoupEUXx4L7N8j++d0HXtzsekVzBi9Ygh5jiYoBTjUtoBD8rHqQFbjMnH33kuIwRzQFwDVdla09CIzhOkternwXPcTuTKcgrb+rV/f7pp89JKev13y/a4JFEHmh7VWBwwMu1rXpxCABZP2TlOtau4iIZJKDxC/UgVmMX6l70CqQB/qtStJgFk8lkMplMJpPJZFqzDNqaTBvgnm0GJ9czNqG+GBJQbDXFvpq97mAcDluA7d7BDoWNHPGvz6Rdq4O5fl6AbcCjznhYkvmiuhi/fGi06fPWGmdRD345rg6kG+yMyfaehBbLwhkKXMOR++ixiaYu7EYQFccnY6pWSwoXgXnOhbpUX9x6wsiWC6YBin5x7yt2dMuPvHL7QswCsPDCk1k5N5VWxyaFq545NyO/+8UjC5mrwHLg74HzszLYFZMH79y8MD63Zjh/iQ8Ym8tqzALtxiIhOT+TkS8cGNbxsj8PXZyVQrmi93fFQzLUFddogIdeGFG3L1mtAMZQKKCFs+rHx7M+8cQZLQrGdUBbHK5v2DMgb79z84Kb9v3/5UkFttt629Qpjcu1vp0FOF+tKryk/xRwI16ivy2qMR4zlYKMJfNSLNG3oO6FF4bn5dsnJhWwCgC0FivA83A1O+DJ/wJGB6ppOVX2oHm9XARBezSsc3Z2Gnc36wDwDeua8FnDKfyPB4Y1T9dl2VJU7ORESmMRHOxuJQX0xCWUqwqRY5GA7Oxvl+NjKXXYOmCbretoyV+5rKbeREhBeaqBBZf5M5lMJpPJZDKZTCbT+sigremKaKMzXq+EVuLmbAYn1zM2YVExpNms0iOATjNo2az/zV53cI4j8jhscZ6S8wlUAhitpv/N4hjq54Vj/LhCAYocN0/UxljvvlyvOItG4BfQqo7a2awMdMQVsrpnr2TM7P07tnZqQS2iFXjOT9ayWZt9BppB6OWCaXJYT00CY0sCX+xrj8gf/Pgr1N3r7xf682+dVOcq0A54+u3jE/LqF3u94mW9beo0BdZzdB9g3WjNHj48qg5O2mCPACEpIvY7Dx2WzkREx58vefvz7u096tq9bXOnziMwnt/DlYAUa/kMQNBGBdeAvkRV4I4F2NIeawREp2/EUJyaSGkGL65ZGCLr2ArOkyXrohWYV/YeA+E9gDUAdXtfm16PgxdISv+A0czhw4fHZDKd19gCQKs/cmA+fwlsNsp8BaCynr/9hcOaNcz8ZwoVyRYLOt+ZWvu0y9+r6i723LnhjAeDKVDWSNxP39O1PeDEX4GuzFF7LKwAGC0XtybJEA56INgYrclkMplMJpPJZDJtnAzamq6IWsHK6wXorsTN2QxOrjU2oZm7FkBVrVTVDdsMWjbr/1LjwumHcCyS88mR7fWOfdBM0VROIxBwMe4ZaJMP3LdTXZzzuaK6HHPFknzx4Ii+T1yDf6+0yuZdrhpl3LZy1C5XrNc3XppUqAfYZIz83hYNN+1zKwi9nP7giAUwAvRw0G7tTsh3T08veh5z9r57d8gLF+fkM89c0GuBeTBAnsH8AmNxtkaCXt+ZD9eGfy9TYAzhsOU6QDs8zwOPFelti6q7GPdprAZHXYGy3raIRiZwfTREPEFU+wuY5H33bwH94Tr6k8yVJBTynk179NflBocgoSIKOgGhAGMHqP2xCI2iFejT0dGkzKQLul7kAxPpgKP1xHhSs4KJfyiVyx6cLpZlPlvQ8VAcjJgJPyAFata6swBFiRYIh4MaV6GFxspVSVdKWlisUMscYA0CAOVyRf7qybNycTYjlRqw1fxZdRlfAtylOtcr8w5s53NTmK2oK3mxvHu74mFJ5bz82uUKUMwzPShu1NZkMplMJpPJZDKZNkoGbU1XRK1g5UYX7fJrLYDYD9KGeuIKlVYaE7CWY/z0naPrj52Y1NxNnIYAIRyBwCe/E3Sp/vuh31IuVSCaOy6PKxLg5Z65mhiCRsI5eX46q5mYHLHeP1RWoAhM+4vHTsv4fF6yxZKMzuU17xS35nrslVb7wYG+6jrtfWAt4wuHgjKZzGnOLWq0d5pBaFfUizb56Xdw+8dA0TayX09NpuTm/o6FPNpGAkwSDYDzEgH73D5gvXG3NmrDv5eBqZzdJ1ICB2aFPxUv4xTh1H3Fjh7NAx7oiC20T7/HkgXZ0d+mxa/4XOGwjkdD8rUj47r+bh64HmB/KdO2qnPpPkffOTWlhbMS0bDMpIteoa5iSf7mu+clHPScsf5YBL7kcBEV/vl/5h8OKaSlfT7jwGa9pxYzsLkrKuFQSHNugdOAVJ4FsKVQWLkuA5Z5oygZhd7c54nXyDbWftSKtgFPEa5yYC+gFTA8Mp/TjFj6SDEz3mON2JkkznbG+bcgvyiCwXM9e1Aa6Dw8m1voE3fyhQHrQIRFM2DbyBns5H25cnmOrslkMplMJpPJZDKZbjBo+x//43+U3//935fR0VG555575E//9E/lta99bcNri8Wi/O7v/q584hOfkIsXL8ptt90m/+7f/Tt517vedcX7bVo+BG0FK69k0a61AGI/SHNFq1bazlKAtNV88vrjJyb1CPVsRqQrEdFc0Fbu2mb9X87r/v44WLutJ3EZ8FoPAQ539CYUrAHKXD6pA4cTyZxmynLcX4s61bJR17pXWu2H9foywe19gCNAejyZ08JXO/oS2n6rduv3A3MDzFxOgbJ3aV7s6CJnayPt3dQhewY71F1KHMAb9w4s7LtWbbi1J6u3MxZWYDuXKSjkxYVJwSzYIoAP8Pn9+z3o+uixSXUBMxbgKHnJ+4YG9bNPG12RoOSLFTk7lZKv+HKM+fNjr96hf9y8+D9HxHgcvDCrcQnu2P5cpijJQFm+cXRcbtvatSgWgZ/04cOffl6vfeCOTQq7+VwRKzCbLUosHJDx+Zzs3tQhD+wdlMdOTGib7NfRuZzuV5zMrGuRImaJiMJbHLOVmqu2LRKS/o6Y7N/erZERfIa4//nzs/L8+RndCxUfKFW3s3gO6d2DHdrXC+TdFi8hVFy3tI3TNZWjn0GJB4hGKStEZt5726MK48nkxSGcqzlziTZoj4bkzGSqYS6tUzxcK2DX4BLyda3WmMlkMplMJpPJZDLd4ND205/+tHz4wx+WP//zP5fXve518sd//Mfyzne+U1566SXZtGnTZdf/xm/8hvzVX/2V/Jf/8l/k9ttvl6985SvyIz/yI/LEE0/IK1/5yqsyhpezlgu2WsHK9SgitVytFyBebTtLHeNvNZ88E9gDegHcJiUg73xDa3ftWuX6A0BTJ2R3QnYNdigo9j93KXi/1PuAw5fGUgu5onsG2/V1Bw6PjSU952s0pKCNOd/Z78Hq5ajZ81ut43rtFT/cnBsqykujSSm2V+S+Xf0Kwv3tLgVpcXo2K1DmCqb99VPnFGAC8rKFksxmKnL7ls5FebRLfTbd2rT63Lq9vPAFRjQkNw+0S2I+pFCvJ1HV/XLblk65a3u3OmRdMbKAeBnFr9zRo+vtzxF+7vysTMznBez5wsVZ+eVPPSdbuuIKU3nf9a9+3//CW/fIZ5+9sChnFfCK07Ta4N+Z2UxBvvHSuD5LAlUtugZg5hmAUsCmxj1Uqrr3ua+3LSb7h7p1DRNRMmwrkqlUdK7v3dkrm7viWszt1FhKcoyzBla39Sb0MzPYGdVsYwqMJaIh2d7TptEHRDngjsWZzDMZH07Ym/qIkKhIPOytv85d1Sv4RTKBN1YctyId0aD2I12o6Huz6YLMt0f1Sw4FubU5wZ1Mji1O/WbyipI139MGbE0mk8lkMplMJpPpZQBt//AP/1A+9KEPyc/8zM/o78Dbhx56SD7+8Y/Lr/7qr152/V/+5V/Kr//6r8u73/1u/f0XfuEX5OGHH5Y/+IM/UJhrurJaLthqBFkcoAJmUfwHIAm8Wy/3ZiOtFyDeKNDcaj555sF2z4E6JyJv3Nu/oXNV358D2Vk5M5VqCEuXgvdLZRoDJwGS5Hw+eOemReNyLsrHT0zJYKdXuR6YBcxd7vibPb/VOq7XGvv3vj/iAsAKBPS3W9/PekjL/Pghp79AGe0RMQFsJB8VB6tz9LpiXc2c1o1iF5abFezfI48RK1AWec2uPu0fbmzkwP90pqiu3K5EWAqlsn7mX72zd1GO8L/83Av6HpEGHN/HXU7sAPm03zo2oc5rt/Z+8E9mb7XqAUzHbcl95V7AKy7XwY6oFmgDzLbpFwBl7QsCiNKPD92/e2G/dbeFtfAZ+80f6/Cv//FFdcm6XNn2aEDefsdmee89Q/KFA8Na3G0yVZD+jqh0J8Jy17Zuvffjj5+WoyNJ7SdEl7WiBfJ5A5WqzmN/R1z+97fs1nZxCJM8gSOZqATALqrnrbycrHPN0rXhuazGVBD14OaF+cAhTKRDM+l1BmdNJpPJZDKZTCaT6eULbQuFgjzzzDPya7/2awuvBYNBefvb3y7f+c53Gt6Tz+clHo8vei2RSMhjjz3W9Hr+OM3PXzpSbFq71gK2/ICKe4E3G+kaXU48wZVuZyXz2coRuVFZvq4/OBAHO2Kyo7dN3tkAli4F75fKNHZuUsbMs/x94+8uU3c1Y2/1/FbruBFr/NDBYQWCxDyQYXrHlq5F7db3sx7SArSZH3+fWFvaPDw8pxAQUFicyync1gzdYEAzdJ0D1//liD964/MHhjUi4fPZol5HATpAL30a6o6ra7S+AFz9niVeobstsuD6JbeXyAAyYQGf56YyMpUuKDDc3tum/aj/zLtIhoMXZmr7IaBQf3Q2K/lyRfNsccUStUBUgn/uBjpjcm4qu/AaoHI6lddc2P/4jRM6J0Q1kLFLTAH5uc5py/5mThmXV3zvmBbIo9/8TmSH+xw9dXpKwSlziysXCDoyl9Nn8nfiJgrleX2P63D1MiZybMmqxTlLLi3QmP/mVcplvW4+V5b2WEmePjOtLmHaDFSrOu8rlbplC+UFh60DsMQlkLGrTuxG2Qe17N7VhDm7Z1l5MpPJZDKZTCaTyWS6zqHt5OSklMtl2bx586LX+f3o0aMN7yE6AXfu/fffL3v27JFHHnlEPve5z2k7jUT+7Uc+8pEN6f+NJj/YawVp/FoL2Fqv4+crAZLLcQ4uR+vVTr2WcxzdP26OpgOWKORVD+P880KmJWuJ+3K1GbwP3rl5VZnFS72/nH2w1vleqn+NINNyn7mS/UdEwFQ6r+7N+VxRj677r63v59tuG5AjI0ld490DXgYr68jnE2j5sUdP1dY2K5s6KSyVFUmTK1uVtkhQprNFSY0m1aFJTAAOXLKDiaKoj94A2AIKid7AZQq0xKHL2jx8ZEyzjInGqN8//j0CoKV/zvW7vTcuh6bT6khNREISCnmAE2C4b6hLx1BfzM+1d3oipdCR1yiSNpujUFpA+iIhmUjldS790JY2gKX0uUCkQMTLRyZCYGQuq0CZgmmMEe0b6pYP3LdT3aylqgdtmWc+UwqJ5/My2BnT8fzR145pLi35tjhsea9SrS4UF8PHyp5yX0SNp/La546YB2inUgWNjwAUM89EGHArAL49EpBcgLJhXuQBUPsfnh/WYmVAYS3ytgppQbiq98cv/l2vVipSJjOhTjypMx7W+ISVgldmolavTV2+JpPJZDKZTCaTyWS6zuMRVqqPfvSjGqdAni1OJcAt0QrEKTQSLl4yc/1O2x07Lv0f+qbGztdWkGa9YNp6HT9fr4JR14JWMp9u3JOpnAKyehi3aF4uzqkD0hV8Wq8M3uXC+6udacyxe47P45Bsj4b1qDywFefrf3vijIJPjpE/cXJS7t3ZJ8Nzrb+sWOn+80eBACI7YxGRamDBmejvJy5X4CFH+JGDhxTZev7CrAJPHJuxUEDu3tGrRb2Apfft6Rc5OaWZpbff0qlH48leZayQyxDH4mvQlL7698C2nri2iQM4EQ3LYFdY+wDopSjY8ExG73vzLYOX5fDWxz8QD/CxR0/qsf5iqSq5UkXh41yuKAPtMXn3XVu1DSDqJ544o7EEgEkALoXAHAB/zc29cuDCXO39gGaw8qczTrGv0mVz5/bUdKogJyZSCzmx1bIXjQCFZGxAaeJFyE2m3++7d8dCLm8yX5JjY6mFWApcuV88OCLPnpuWXf3tcm46rZETgE9VQHTuH7jd+0IDiM59rFFXPCw7+tpkU1d8wTE91JOQc1NpfU4Ih221KtPp4kJ0AUXCSuWqvg4IzuSrLYFso3ddW+Um72OuJWeX/V4vXsqTb7EK8SyDtTeu2iJXuwcmk8lkMplMJtPLT1cV2g4MDEgoFJKxsbFFr/P7li2NHZuDg4Py93//95LL5WRqakqGhoY0+3b3bi8DsF6xWEz/mJaW3/H40qgHn9bqgm2l9Tp+vl6O3etNbty49RrBOP+8UH3eFVNaDRhdyk3aCu4udS+/42zU/E5ybcsALs9h2aw9wODXj47r7w/csUlhXyu4yjF/oCe5oKlcWf726fPSHgurW/P8dEbKlarCsi+9MCKHR5Kan6qFn0oVnVfXd6CqiwxwY2m2/y53Ont5s8C2ZL4og11xedvti4st0raDtPycSOYXfSZxVAMeM/mSpIFk5ar0tEVkLlNU6DrQGdccWdYCB2tbDVIeuDAr2WJJj+Azpvo9gMMzFg5g0pVCsaz3kD373dNTej3vF8plddAOdMSb7h/WQPdhNCzJXFlOT6XVUUq0QDFXUpcxmbLMwchsVrNaiRBg/r/64pjuZQfAgaNEppAlO9QT175846UJnTtcr/ft6ZP/5x8OLQBuIgwYN2v07o8+Kql8eQFEUjCsJxGSrd1xBb7AU+eqbbSGjB+nL8/EJYvrlX6nc0WFoYlIUMfV2xaVf/nuO+S1u/o0q5gCY7lSWdcEtyptAYzf/7qbdC2A9sRY4ISmTSIyfPxX54V2me9L+FUkAsyteL/1tUVkqDcuJ8fSGhfhd9Ly7wB5ue7aRvLct17GbcPPl4+8rjIlwXQDKuMZ1E0mk8lkMplMJtPLBdpGo1F59atfrREHP/zDP6yvVSoV/f3/+r/+r5b3kmu7bds2KRaL8tnPflZ+/Md//Ar1+saV3/FI1iPkYCPdj+sVMXAlnJrXoty4gZxAoHoY55+X3vao7N/WvaiY0pVyMy91rwN9sCKu+erhcYV3zdqnvf/+xBnNNaXA0qFhfJOy6Kh8vYByODaJJUBkiTq4CvgEGuI+BFgBWx28847Oe/06eGFOPvPMBYWvQLmDbbGW+88/7kMX59SR+YZbBrw80UhIfvI1O5bMBi75Mm1xowIMAYrqGC2VtTDc9t522T90aW2BlsDIoyPzOkfbetv06P9Qd0I2d8cVoOIy9T8bZ/G+bT2aF8v4AKaDnVLLZK2qyzQSJgc1pFC41f5hDOTA8rwDF2ZkJl2U0bmcgkIw4AsXZmVnf7u6YXHxMl4ctIBlnkeGrRs/Y/rFB27R8Uyli5qpjEMXmEtBL7KQcfHS5jdfGtfIAyB+oK6QFk9ui3lZu+TeXqwBY1y1fG6A6qwR80VxuM2dMZ0TMnAVgpb557CseyEcEF0/vnC8Z0eP7lPg8ZcOjeqXDjNEOaQLEgkHpQNHNdEHNfIJtCXfllzbAm3q/g/qM4iQIEqhpy2sY+U13Mo4pykeViWLNiC1f5sDcuuWTjnJHBIBQT8VyLKXlwaty4WxBmxNJpPJZDKZTCaT6WUcj0B0wQc/+EG599575bWvfa388R//saTTaY08QB/4wAcUzpJNi5566im5ePGivOIVr9Cfv/Vbv6Wg95//839+lUdy/cvvfH3z3gE9Ajw8m1vXQlsboY0qCnYtyH+sHljVlYioq5AxunHqe0PFRTCO+4C5QCTA37v2bdHK9isp3uXvw5cPUQQspTDNFcJaLyf0SttX52o6rzBRC02lC5flm9YLsAr0JAsV4DXY5QFOnJdEJpA/6h15D2h/HIB1x+Tp12MnJjQTtk0zVr126eeH7t+tc00fuN6D5+XFTueZTEM3bKN++gHwO+7wnLjA4609CY0GIJ91oCOi2acccSfawBXKQu6oP/CTQTGsn33z7oX94ty//HSuZ5778OFRnZ9IkAJVXqG0e7b3yoHzs1KsVGSos6NpvxuNgef3t8dkPluSMo7lUFAh6ngyr3uZyAAgtMt3RcwTfQbe+gE4/cUZDZR1MPc7p6bUWQpAHU/mtGgXYJ42FGDW9QsQPZMt1kBpaBGYx7EKVGeNAOB8znBbA56/fXxcoT734JQGuhMbwXjIeUa4dl1fgLbMV7DsuV6Zh2+9NCHVQED3OHsM+E1fGXZbNKSu5HgkIB3xiO4db9U8xyyAl73JK52JiHQnwgrFgdPES5ydzmgUBAXLAMXMG/PaSrSl+x3XbetLTSaTyWQymUwmk8n0coW2P/ETPyETExPym7/5mzI6Oqow9stf/vJCcbJz585pdW0nYhF+4zd+Q06dOiUdHR3y7ne/W/7yL/9Senp6ruIobgxtVHGtjdb12u8V5dYmc1pkakdfQt2BiDE3GzfgDscq0BCI40UnhFYFjAGqhy7OqjPwQHZWXZsOVi1HfhAJOJtM5RcVn+IZmnGaKS2rfe6r1OIMXLGmwBKxCTzHgVWuJZbAQcyvHR6TgxdnFQq2R8OypSsuewc7FBhyD/NI3wG7FHvD9ai5qBmv+BTtA5oBZcw37k/me5HTuS22yA3r/2LBzTPgjyJV2DIB7W+91fvihD4DIm/qb5dENKS5sjhXpzMFpW/PnZ+Vhw+PaTYr8sNi4OfOPg98XipadnlBOvrDOgMSb+7vkLF5L3MWUAzgxqH6rv2tHbZO7pqvHBpVGDvYGdXMZVyrzEs1UJVihdxW301VrovpGFlbN//uC4h6JyzvsY+8LzNy6mRNxELSEQsrwM0VPaDvfwQFyI6NzqvbmDxZB4Zh2/VAmPb5nCl47ojpem/va5OueFSLwM0w97VYCfrHFymuL4goBPb66HxOxpJ5OSEpaYuFtO1YJKh7NhaJavYtcQ3A2YGOqKQLJZnNlBUA89+9UuVSvizPAirTZ9rhWtbHDXRzZ1wyxbI8eYoics3FeHUdNE7Be745ak0mk8lkMplMJpPp2tNVh7aIKIRmcQjf/OY3F/3+lre8RQ4fPnyFemYyLS+XdcNza8Nebi1wsL6IVKP+AQBXm/Prh7XA1FyxpDCPgkq4SDmi3gzeNZonvxMa0MbRdACag4b+4/Qc92/VPuK9p05NycNHxoXvc3BzAmFbxSawVvxs5MZ9z91b1XboALffTcp4nPMXJ+b5mmOWlt+4t3+hn43cxDhw3bh31uXh+l2ujQrK4cY9OprUXFvcmQBUcliBiwA7sm4p8pWIiEzM59Ut6qBtvVuXez9/YFiBMBmz3fGIvPvurer6pW9uzRBH7wHh/R1xuXt7XJ8FQPfv91afBf97gEAgLE7gzz17UYtvbeqM6V4COvvdoLhXiUoA7Na7efkCgnnH7UokwkBHXtL5QfmFt+7R98mRnUrlNK6AeSEuQNsMeMW4/KLoF4W4dg20Kczeu6ljEZh37l4yaonCODyZrrlaB+WZM7O6r85Op3UP47b98otjCkBxOqMnTkwqTHfZtLhocSwXKsQfVCSTL2tBwLsA+BrTkJOZTF6Oj6VkIlWQcqUi4UBA4y/I7gXUajxC0BfjUaloPjNz8sqbemVrd5vOGfroI8dbZh+Qjcsad8bDehnO3u5ESS7M5AzcmlqKvWMymUwmk8lkMplehtDWZLrWtZZM13XJrS15ubUAJgobNXKr+vu3pSu2kIW60pxf15bCwkxJnZbJbFmB7c7+Dnnn/ubAutk8ubmizwBbP9x0Y+Qef/vN4CB//tUP7JPX7e5fFImhTtIVxiYsFa/hd3G7/vivc/PQKNe23gHuYgvq56ZZQTnAO+5TnK9EFNA280PbAOmMwvSyjpc83mbjwQGKS5V55zLiCZ48OaVgmPfdmgEZyVvNFcry+j39iyIXlrPG9e8B/HkgjtZ7dvQqvAUC47z9068fl+HZvN4DC2qLBBWgNnLzMj+A8kyhpOOkMJgrJPeRH9q/4LAGXB8bT2qxOZyuo3NZLUDmh5Hg3GyhpFCV59FvxkxeMfN9U19CHj8xIf/vFw/LXLak2cW8DgXFkUp8BM8nIgMnLcXUYqGAAnlydoHR+dF5KRRLki2IQlr6TE5tMBBUhzHA9g9+4hXyn75xQteF+elrj0g4SAZuWAoVD+4C23HlMgA+90RhsK/ZV9liWff32HxO/204OZHWduhvezKsRdAaibxbohSyBXKRg3LL5k757R/aJz/0Hx6TudwlV6/JVC/fPzEmk8lkMplMJpPpCsmgrcm0TrmsG+HEBQY9c3ZG5jIFuX1Lp+wf6pJ0oawOvXq3qr9/wDYg0nJzfv39p4CVKwZFXAHvLfeI/FLz1AhuNoOmreBgo0gM2i43iE1YSvVgtlnEQqsYjqVylVvl9jYrKMeRe5y2rEX9/D91alohCtcGAl52bKPxOFj8xRdG9Ih/b1tUKFlF9ip5uTzzs89eVAjI+2O15z1zbmZR5MJy19j/HmtRrYs6cOtKf71iW8Cgqty1vVv+8Cde0fAzw/x8PltU0BgKBHRtKZhG/IL7nNFP/jDWjz16Ul3EwGwKeRFngYPXiSJj5L/+6ddP6JrgmCXGAED+xEkv35j18pytovvo+fNztcxjr7/EEORKFe0Ljtd//5WX1P2KAzdbrEgH2be1IFp+EtdA3TqiFdyXEkBZiqHRT9aRz+uf/NQr1Y39qafPS28iousOsAcgl6SiMQpJMoIpoFcpK/RlnllHXLfA5IgLCG4gf2E2nL/PnZ+RX/vcC1KgwloTwY1xJy9k4TbICzbd+GqxRUwmk8lkMplMJtMGyaCtybQMNYKNV8KJC8AB3JHDyXNv39qlYKyZW9X1j4JkK3l+I4ckR9vJlyWuANC0HBC91Dw1gpvNYOhSALh5bMKYHrd3sQkrEfPwySfPauQAHk0crbh137XE+JfKVW6U2/vWWwcVMh4ZmZdUrqjxBYlIUCHig3dukgfu2Kzrz7iJKHDxCjiKcVrv2dShmagAu/6Oyx2xTtz36afPy/PnZxSSkme7a7eXl0ssALD25HhKnayemzMoF6YyiyIX/FCffFnc3o3WmPXHtUrRNuDnm/YOaEyEmzfnNgZ4UoxroD2q8wwc9UdG1K8rX1x8+dCIOkizhYokoqKwlHv888613z09LRPJgub/Akwp3JXOVyRXKiksZ1+cmkyrwzeZK6jzFNcuRdcYF5OEY3UyVVAXLv0hZxdm5f6UgcCBqrTHIrKlO6HF7HD4AlCBy/mSB5g3t8fUXYvu3tYjD+7zoiYQxc5w1vJZjoUDCppZX8YDxGUfAnUB6jhuE4GQzGeLCtVZbeXQNXB/diotqXxZo0zmc8Vl7naRdI4M3Omm7zNHDtiKb/wmk8lkMplMJpPJZNp4GbQ1mZahpZyUKwWM9Wrm1G3U7krcqstVI4fkbZs7F+WZ0kegWys38VL9WApuLhcONlKz2IRWapQFXCiVpSvBEfOiHkE/NZlS0LgWEN8otxdo6rJsyTTl97ZIWAtXARdxSzeLVxiZy2oO7+YuD+Zz1L/ZmIB6c7miRgLgriRT9tHjEzKZzuuc3benX4bnyC4uSyhMhmpASpWKukZdBAdtUGCNZxMLsK0n0bComgOsZyZTmgFMG36w6vbZ7oEOdYxmi14RrmJ7pekc08dfe/cdcvf2bvnzb52SVK6gmbuAX9y2/qxg+goM3d6b0BxoogPedMugRj24ecHF2h71CnGRN5srAY2L6mhVBQIKXCnSBbylMF2xUpHzANQCcRS1jlVFZtJFefLUpOdgrgYUEjN/xFwAokfm8+pMBbpWqlVdV+fm/vaxCS2axnO626PS2x5ZyBh+7tysjM3lNMsWjK6OZP0fL/+3Uqlo+9kq8QuiYJc1JBd4Oe5ytDCOFjJHrclkMplMJpPJZDJdPRm0NZmaaCWRB0s5TJdSM6fucgHtUjB0KZE3+vDhUXlpdF4h0gffcPNlWbDLcROvtR/+Z7SCg8200uc3ygKmUBNOWwpncTSeTFmg20pBvF9uHdUlGQ4pfMPBy++API7c8xNYDDRu9Kx6sF5pED1QPyaO7E8m85q9iiPXg3/k/eYVClIMi+JZzDXAEXDMNfFwUErVqpycSGm/QwFZ9OUBa/KLD9zS8PMC+O5ORBQGu2JnjeaBo/9AUMZ8365+dSI3m2NXSI45+ovHTuv64HTFbftHXzumbnS3hmTWnp/JKjglbgK3rGvDuVh/90tH1AnMWLWYXUdci4YN9XQq+MThSjGy33vf3ercxd3M/FQbQE1AeHs8LNVsUQKBoJQqIdnV3yYvjScX8pWL+bI8fXpGgsGgQu3nzs/K+Hxen88+o11c1mTUfvjTz2s8hSs+VqrFZpB6wH4saSTGJactKpRFAqxvEycs97q1X6ngxgZvTSaTyWQymUwmk+nKy6CtydREK4k8WE+nq9+puxGAtmmRGRfaCZxqQHfW6iZejuqf0QgOrieIPzqalPG5rCQLJXX1Voa65ades0MeOz4pF+eyC/m4qwHxfrl1xBnK5OKWPDeV1rkGYJJLC+Cbz3qF3xo9yw/wyWh9z11bloyVeOz4hIzM5zRn1TkrcdyyvjhIid144eKcgkX6AZjcNdCuDl6cqm4dcKw2KmwHEAWaAmoBiqFgUKMBgKbiK3ZWPw8u8gGQ/KVDo/LkqSnNeMWdyxoht058oUB/h+dy+vetXXEF2/QtHPIXbPP6OpupyI6+hAJe2gcg+8U2x0mr75MHIWTeVmSop0PXm3zbgY6ouqx/+x8Pa67x1u64FrnD3YsL2S+yZ3EOa37v5k6ZTOa0WBl7y69ipbxQYI7+d8ZDki0wX7RZ1eiH58/PKlSezxQU1LooXs2SDQL8PQcwBdZAsLzuPqqNgCxF0jpiIS1yhhuXKIiVZpMasDWZTCaTyWQymUymqyODtqYbXkCghw4Oq7MRfd/tm+S993jFpZZbkGspSLlWkNrMqbsRgLaRAGLAOjfWkbncsvu4nlrOMxo5oNFyXNH1IB5X5snJtIIyWNZLY0n5gXuG5D/+9KsXnuOAOcfwl4qHaCa3jtwbrsFQpG7ZTR1y++YuhYLARHJ4G0H/5X4x4OYQlyxO10CgqoWxiqWyHqmPhAF5YXn7nZt13YGaODGZg2g4KG+5bZNmIjNPrAMuXBzIE6m8nJ5I6TMeOjiioJNj/F89PKau1plMUTZ1xeTBOzYr8BxP5uWOrV0Kw13MAn32F33jc0k+78hsToZ64lpgjznXZ9TWCQc4pJX9qW7o7rj+jvvZX7DN9ZWc38nZvEYb9LbFFkVHIJ6xo79N4w6mkgUpS1WjOA4Pz8l8pqiQcjwUVLAOoC0f9ty0zB2O43oBjP0Q/bPPnJdPPHHGI60+mEo8Apm0zPXwbE4zhGkT0f5UMq9rRNGybB1Z5TeycUPVgKQLVS9TtwagG33Bgvi3a6g3IelcSQqQ+kDrYlKMzVevzWQymUwmk8lkMm2gbv7Vh1Z0/Zl/+54N64vp2pVBW9OGRQZcK6K/QBSgk1QDegwbONUIhjYqyBUKrt1puZSWC+Q2av7rC0g5x6O/7bW6iZcj1+bJCRyTBXUlAkr942zkgEbLcUXXO3lxZVKYy4stCEo8HLoMzsOxAJr/9otH5BvHJhRu9XXE9DVXqGu5Wq5btpWqy5zDLx8a1QJXODbpazwalr72iOQKZdnak1DgN0SBu0JJs1kRfWLeH9y3R39nLoCqZNNSKO30VEbK5YoW8joyypcaQQW223rbJF1IaqG1752b0azY9mhI/vHAsHz+wEXZM9ihEQTIjZd1pBAaUDeZK2kxLfbeoYtt+tyDF2elPRqWdKEkHbGIFkzjGmYAly7gk31IjMGfffOkRntQ1IvPKmObTRdl/1D3ZbC9py2sMQQUGoOZhoOe+3g86cUocC9uYfYD+wQ47Ny7gWpCjo4ldQ4pXkaEAaD47FRK/vLJsxp9MDyb1X9rehJRzSdGGk0rATk5npRylWgLDwK7tWTeWYFssnURMYBvRzwkmUJV4S6QPxSoSiwS0kJkflXKnhMXYEuhuwWK3EDs6Vq9NJOpoZablWwymUwmk8lkMpnWTwZtTRsWGXCtCFhD8aWuuHdM2p8Z2qgQVX1Brka5oeut5TpqN2r+lyogtZI+rkXuGV7RraRCuGNjnruzvpiV3wENb1pOdEO9k/f2LZ16bFwzUqWqbTg475/rh4+MyZnJtDpzoXrAxYcPj6ljeyUQnfdxqOL6BpQBU+vheDM47/oDYKY/QNl37d9y2TP9rl51iypkTS1ckyt4xaqIJfj+/Vvkjq3dUqoASCPSFgtp1i0Zrjz3Q/fv1r+zDql8SfuOOzgaDMgYObJhr6BXZTqj8Qg4aznqj5MX2JoqlPRZ7Cf64l8Xt46sQ6ZYlmxRZD5Xlm8dm9A1ASTj3lXwWKpIKk8GbUAyBTJ2AwtjZ15w2vIZPzWR1ud0xcNajIx4DYqU+T8zAExiKDQNxDOgekiq9gVNKBSQYrWiMBroijuWbOXOcETbODeT0fGxDsxBKpdRh6q2f3HOy4+VgHTGwzonzBe5veT3Tmc8KEusQyRYEU05WEGGLMA8HwhIPBKWaLiqcw1cBr4fGl4cxwBQvm1Llzx+fKIWjdGcyrp1MKetyWQymUwmk8lkMl07MmhrWpGuRK7pertLuYccSOe09WeGNipE5bI7V+uE3MjxbdT887z+jpjs29a9Lm37s045vv4r77hVetqiTa9vBc/r+9IsQqFZrIK/bTJR33HHJo1/cC5N+jk+n1OmdedQlzozuQcoioOSQmS5YkmPsHunzKuSL1VlNJm7rOgX4Jt59K9j/dg4zu4g39eOjDd0fTeC827ts/mS5uHi6Lwwk1GQWl80zj9P9GHXQKfu7cdOTCpsJD8VaKnwOBhQuHlTf7sW4Bqey0osGlp4rmuHXFsAJF9mMCacovGwSGcsou5RwCYQmPH8p2+eVEgJtNQ1KJTVhetfF9fuTKag4BTHK4tArEJ/R0SBcL7swVMiHGiXIm7jczmF0MwPIjv22Ni8jM7l1FXMVzO4gnHA3rWtR2Gufy8dHs4o1GXMgHjWlKxY5oHuAn0HeuKys69dHbk9C/ERZZ13xp0vl2WcDGQf5OTfC/YQ80PfgdyMPxYNatuaW1yuaMwBsbi1qblMDiY3EnG/oWBVBjrC0pmIKKSmTbKEac/fH9p58uSEzNc5cBupUg1Ib1tUJtOe29hkqpfxfJPJZDKZTCaT6crLoK1pRboSuaYrdZcuBT397kZ4iD8ztB6CAhZfvbN3QyMAVjq+lcYYrFa49XBwcswcOPbmvQOrbgsQipMT4HZi3HPKfuSH9je9vhU8r99nrWIaGsUqkJtKPAbwDnj/wTfcvFDcjGuOjCYlwM4IVOXw8Lw6MxFAlOJYB87Pag4sWakcawe+UZxsS1fisqJfQLTe9oj8Q6aoAPfX3n3HZWPDYbsUeG8E591n74XhOS0s1hcJ6RcR7OtG0LZ+npgTcl5nM6JRAxdzJXVg3tTXps7OC9MZdRJ3xCOyvSeh8SDci9vWzS19euHCnKSLAFnyccMKSnF84lB95OiEvGvfZnnT3gGF3oFiWT97pWpVM2sB4vX9O3B+Rvcw80t/AKqFUlWLfqkBVgJaCGwuW5JTEyltjy9egM/079DFObk4k1N46WIBuI/3ya8FohJL8PTpKf17d4IiY3mFqqGg9zziIpznFofq1i5+F+nd2iXbuuPy2Wcv6F4A6BIJoW7amksX1gwWpW0cwPFoULZ1t0kohKM2oDENOJVxC3tlzy4BsEiQrNpLa+aBa92K2jdXPM6JX1n7uVzJmx+NTAhoHAX3Fnx8lnnDuaztLQHdqtWK3Lq5W5LnZvXLCZPJZDKZTCaTyWQyXX0ZtDWtSFci13Sl7tKloCdAE6jVyo3o4CAFmK503MNK3LPLiTFYrTyHXw3tVKve76sUgNBlnV6cyejvy5kDjrQ/eXJK5jIFuW1Lp+aGknlan23baLzNYhWAmsBN4jHqISftTiZzC0A3VyorZOYP+2FTZ1wdo7sG26U3EVmUafv2Ozap+9PtH6BeVciELSoUffzE5MKXCf6x4XJNREMK+XBnNvrioxFAd581ioHRp854RLNgmy1T/TwpoB7xjtDPZXDXhmR7X5vmzY7MZWUuU1RH6/mZrDx5ekoGOuLaN387wNUPf/p5ef78jIJa4Op8rqiA9PhYStqiWYmFAvI7P3qX3L29W3NeR2azMtSd0LkCiNOW/4uWt9w6II+dmNL5Ay2SMQyIBM62R8PSEQsppKRwGPexRfmMMG6ybXEPd8SIaQjpGHgDANzXEZWZdF6d0cw5f3Ck9oUCMtAZU0cv42+L8oWHB+Up3EYO8LaeNnnh4qzGKACDMzWyGtAxl/WzwfN5FYALMA2HQrqu5OGmC0Xpa49KWyQs53IZz6VcWwc+FxprEArKpu64FkHDFaztwakDXCOSqOXU8omsjy1wBdHIDcbFPJXKLUBkdynFypbrjsQ5zrW4pckrNplMJpPJZDKZTCbT1ZdB25eh1hI3cCVyTVfq7l1LZMB6Qei1zOlK3MvrHWPg7/tnn72oLsI33zqobX7t8JgCTvR9t2/S/NbljolIBMAnwBYnJr8vZw6AmkBDij6RU7qlS/Rno2zbRmq2F6oV0WxSICexAs6dzGuAMVyQaSkrfAQe4jLl2mS+KIMdMXnPXVt1Td/w4mjDvcJrQPRHj08osKUwFADU75B1Y9vWm9BsUvKSid9otOcaAXT32aOvn3zyrMJDHKc4x1ez14Hhf/v0eTkxnpTpdEG2dSfkvj39IienJBYOyYN3btJn/ckjxxftabJkgdxEEBBNEK6RQtyeAMvzMxmFs4BxnK4nJ1IL64FbF3iMC5c5xuXLWgCOj40mJVsqy3S6pHEFzPuuwQ45PZmWifmcVKpV7RdrRCbsjl6vT0+dmpIjI/NSrXjFw4C+wPB8oSznc1mF44DZRCSh8QF8IQAUZn14Bv1FjG0uW/AAaWBW5jNFr4hbzcGLCZa3dFWqIp1xL/qirz0mv/zALfrsrx4e077Qf/YZ7uD6Al/5GoGtBkRev7tPvvnShEJ4lttFz5bLwGAvCxfA6xyzujcU7lalHMCNG9D2ypWKfnYjYZFMLSjXQeJYyItVaAVw2V98GQDMvuw9OxpvMplMJpPJZDKZTFdFBm1fhrreioktBVbXEtmwXhB6LXO61PjqgTC5rK3Gu1KA7PruAbesQjtcjsQMkL8JXQKwAXYAQ8tplwxb5M+0Xc4cfOrp8wps79vVr8/k/sHO2LIBdaO9wNH6Q8NzCiZDIY7gVxfcyTgV+9oi6sIEClK4CZgHTMQdemYqtQAHm+0VVwyLOeNaYhUAuL3t0YX1BH5S0Isj74PtUYlGQnLb5s6Fe+vnFNgJsHTjHp7NLazr2emMvHJHj0Z57OhN6LrUg9VGcv137XzrJSI2ChIPh/Q91hqn6UBnXGGyHw7j9uX39927QyMOcHtnCmUZ6IjqTwqHlapldSOTjevWqX49eB5OaLKCybhljnFTp/I5CeBW1exXimuFdC4pAohLFWcprnLN4i2L3NSfkHfu98Z61/Zu+faJSe1HdySkcQfEH5Sqngu2VKkoUAb8V2oxDlDIdKGsRdeAsmVfxizwdGQur7/jlqVdha++uWQd26NhLd72qpt65Kdet1NfZx0nU3kF//S1WWEvfVZVNI6Dfcca1l9L/EFvO8XMgtrXGjtWgMrv3YmQZPJlHZ+CXpy2DvT7FAgGJCzA57rXa225vhC7AGiulwFbk8lkMplMJpPJZLo6Mmj7MtTVKCa2Fi0FVq9GZMN6zulS41tc7GpONndGFWIBs3BD1o+3HiADE1vBVtd3QKmI57Lc3BXXqIBE7fA94A7XrSugtRSYBii2yrBtNgcOFD5ydEzB3V1DXTKZLi4byDfbC18/Oq7Fq1gfXJpufYBr0xyp17PlAdnUGZO9mzrkpTGvENrO/o4FONgMhvvnG7flm28Z1CJXO33X8DrvJ/MiL1ycV4csR/ubwf5G8Nl/La+RvYxW+mWBa+fsNMX2KnLn1i6dEy2SVQOkrANO64n5vHTEQ3JuMi0fe/SkjoN7cD8D0+ezBYV6ZLfiXt3anVgU+eDm32UN48wFMgJk57JzCsWZY6IC0s7xnC9rNiyuT9rmOexFwCbZtUD4n3jNDu0HsProyLzcvb1H3brkCgPNyWXNFijQhfOUvNegdMTC6p5mf2vxroAsFJdDtShcz8kL6AwFpFoNKFQN+aAqzmJiX6fSBd0rfqfzdCqvjuFMrVBbIwVqEQnVqld0jUgC/j6RIh5isXDN9rWHJRYKSgY4W4OoOTJ/2Uw1RYPEKXgFz0KBkqSLl1Brzvd3v4K1MTF+4h2IoQBsb5SzlvxedSrXALPp+lJ3vBa4bDKZTCaTyWQyma5daPvss89KJBKRu+66S3//h3/4B/lv/+2/yZ133im/9Vu/JdFo8wrxpiunVm7Lq1FMbCO1Wrfschypy3WtbuScLip2dWJC82yJR+A5wNj6/tQD5KVgq+s7zlZyTHFZor/4dkYzYIkWiEaCcnw8KV2JyIILdiNgf30sAC7Ktmh42UC+2V7gSD+gMlYDnm59plIclQc6eg7cqXSxKfhtBljr5xtg6wqdOXENDtShHty7aS30Rbu4bxvB/kZ9aHQtM7XSLwsu9bdDi6xxH+AUl+wTp6Ykky+pMxnHKhWxcKni+iS79i8eO63FysgHJkqB6AHcq8BLADiwnlxo13+3Hi5rGFiKmxtQSDQB8BYoTqQA9+N8TRVKuibnprMKRulfOBDQufsnr9sp77l7aNFaAGnZOABL2hjqbZMkERczWS2AVixWJRioyL03D+p6k9lKMblI2MufBUV1xsPqptU9CGAMB2VzV0z7yXjbY0EJVAMyh7O1BncZO2tNbIgT7fNZ4zPTSG0RYLAX8QDcBt7y3PZoWCZkMbRlbQHTgGZ1vLcQb7N/h3ra5Oykl1vcSg5Ok9Grdceqog7hfJ0bdz3lL7hmuv40l7MFNJlMJpPJZDKZrnlo+/M///Pyq7/6qwptT506JT/5kz8pP/IjPyJ/93d/J5lMRv74j/94Y3pqWrfj+teCM/VanyMHazV7c8YDbq2cjBs5p34gTJErjt63gnT1ABmXYCuw16zvACOAL0emAUJAnvPTHJ++VKRqvXJ9nepjASaSBfnFB7yj52t5ln+MQz3xhazW0WRO82eZU6AksLAZ+OVZzAGZtWen0ro3aHc5wN5dQ9sAUiAyf292b6M+NLqWNfrq4VH57ukpLWLVEQ0v5PU2k2uHseD4BSDTn7/49ikZn8/r66m85+IErLL+wO7Bzrg6b4kvUMB5cmohSqHRfI3OZeWff+agZtJSDIzYiQSRArGQOkff/4abNWqB/FvWZSZT0PsAqBTGms8VJBaOy1SyIN1tYYWh7ksKPyj3CrpVpFSqSEc8rG5h2sAhC/9XR2lF5OCFWd23AGcFz50UKivqXigUKwvuUjJiq/mSjMxWNZ4hGSlJvigSxGJbo5o4U4PBgN5Lf3AR/9HXjsnTZ6fVlZ6IEmlQuQyUdiei0tseUcgKHO9MRNRlTP5zvXD7bu9t0wJsC19kNFNAZPdAuxanOwpVXkJa3KxcVQCN+FnaQGBrMplMJpPJZDKZTKYrAG2PHTsmr3jFK/TvgNr7779f/uZv/kYef/xxBbgGbZev9YBcqzmufzWKiV2LajVHC0fIyd7EvdeT0HlrBEk3ch3rgSNwkWzPVoCwHsLqUfcj403v8e8HxvLQweFFBcjOTWc0R3V7b0KLaXG8vFEBrfXISl6uY3mlz/KP0XN9eveWyhS3CqrDF0D5wB2bWvbtqy+OqIMTl+REMi+//LfPyYP7Nss77tgkI3O5psC+HhpTBOz/+KtnpFytykB7TPo7oupWbQX7G8H1LxwYlvlMQd2YuFEPXJxdyOtdTjtENLj9+qdfP67wTyMQKOoVCsrPvnm3fOXQqBbrwm2L83bfULdMZwqX7YP6z8H/+N55+e7pGY0oIIbgwkxOgS0u1zfuGfA5cEdrMLyiQJhCexems3J0JCkX4y4bt13BsStkRiQCX6Z4wLYqW7riGtkA5Dw3lZbNnXGZ7i6o85Vj/5q7W6jomhGvANTd2dcmb751QF64MCdfOjSisQ1gVgCv53KtquuX9Rqeyyl4xpXLNToVFbJ3vSPjANsvHRpV1zFAls8ccQUUnKM9eChjpLAZ4Pg1N/epuxjwi/v48Ii3h/0a6o7JW24ZkK/WvjhpFVpAobUPvP5m+dxzFyUeDmo+bcvCY4zPIgpMJpPJZDKZTCaT6caCtmTvVWrZeg8//LC8973v1b/v2LFDJicn17+HN7A2siDY9RCBsNGwcy1z1OwIeaN53OjCbvVQVYtRtXD01kN57gEuLccFTNufeOKMxiK4AmQUvQIyAmwB2G/c1t1wrVab6+vfB0Pdcc3ppfAWfcWJCaSr3yNreRYOWWA8a7ujr01B3O1bu5acG977+GOn1dUJmMP1/NSpKbk4m5Gb+trVrdpsD9dD409856y6VoGgwGLg6FJ7ptGXLcB0XNCAZyArLs9Wc9HqM/e6Xf0yOj+sRa74J34La7HPGxP3OHhLlARuVsCoX1zz+QMjMpPJy9+ni3IRqFqtSnskokAWRkhOcblCJm5O54HCcziXiVoYmc3qfrswlZVMqaLZsWS69iTC+kxXyOzzB+ZlKpXTNoCe//S+nToe8ljZDwh4evuWLjkyirs5KOFwUOazJc23Zb0ofjaTLWr0xr/6gX3qMH785KQ+g34C8fmZypdkZ3+7ZuYS3UA8CX1CbdGg3LGlU+f0iZOT6t51ObzBYFBeu7NXHcJfPTyuEROAVa45OZGSXQPt2kfAM89EDgjr3wMiHfGIun5xDwNZgd/ELjjW6n7GQyJ9bVF1NOPO5b/RS8l4rclkMplMJpPJZDLdgND23nvvlX/zb/6NvP3tb5dvfetb8md/9mf6+unTp2Xz5s0b0ccbVhtZEOx6iEDYaNi5ljlqdoTcf40DYH7whAtztdBsOVqNS3ol99CvQrmiR8gREJBj7freZEa623D65hq6ORkPhdIAWy7GYamj+o32Ae5Nlwnrd8W6PcKcTaXy8uLFObkwnZHe9mhDmN5orvkdUDaTKcro3KTCznft3yofun93y366ttKF0kJ+KOArqw5SLz6CfqKl5lrnuFSWroT3zy/zzZ7x93dbT1xPxOPwbLVP5rNFSebLkgO0SlXbwknaavyNPnNcu2+oS759fEKzTbf0xCUS8oqs8T5/3P1Ab6gmwNQ/Zp4DsGXtiTrAVYoA/dVaIar+9qiMJ3Ny6OKcxiek8mV1v+LcBWTinGV9+mMR6YhFFF5SYOy2zZ26xsfHU5q3O58rKaQGhrp5cPshX7PKRsOeexegGQ+HFdoyp6w98Q44fonIeObsjCQLxYX+olAgqJ/7O7d2y7trbmIyhY+OzsvwXF4q1YrAbhnbv/7HF9UZjBM5W/T+TX/V9h65c1u3jM/ndK3JpJ2tZeYGMwX53LMXdP4ArHzWKLyW96FU5iqZK+p6TFGgLCDSHglLrlDS5/pFt1mzr7w4ouNye9NkMplMJpPJZDKZTC8zaEv8wT/5J/9E/v7v/15+/dd/Xfbu3auvf+Yzn5E3vOENG9HHG1Yb6Ya9HiIQNhJar3WOmh0h98sBMIoZUVzJZXy2WserDaqXsyeBYc5pC7ji2D5rtW9bV8u1Yo4AYBRKczEOzY7q+4EiR92B4/62FwHxUnlR8TNeBxwDkOcyJdlfc/4uZ67JDqVgFVQrC1COhppC6EZt4X4sV8gY9TJHERELuHY5vu/mZalCgDhO/U5b9oy/vw8f9sAoINMPq+vbBKgDQicqOSlXAwr/tJhb3fiB6awN0LPRFwxc+81jk5KIhrTY3O1bOjXrtx4m81z2A4W63Hq5yIIXh+fk+GhSoSnRAjhHI2H6E5A2MnG74zKXKSr0ZgJ5vpcuUNVoCYqS/cRrdsjfPn1e5yaVL+rc8GWJA8vPnD0ipyZqGbltUR0/UR4AV/YDGbU4edkzPCccDCoYJiKhLUI0g0g+VdG1w0UL7P7yi6NaCIzIhEQkJHPZgvS2ReX//+Btl61bpliWapUYh4A6gY+MJmVkNiPF2ukTeDF5vewxHLVPnpzUqATGSaQCw+Xvady1aullrxC9END3qjVHLR3FbU5/NYqB9yolCYUCEpWqBIIBzf11zyRigcJtGntg9aJMJpPJZDKZTCaT6eUJbe+++2554YUXLnv993//9yUUunJH228EXQ9u2I3U1YpwWI7bld/9kIyf9dc56AxQpDhXs6zXawlULyX67gqQAYDedvumhXlYaq2YG/JI923rbjq+RQXeZrNyU1+b/sQCCehK58vqGvzwp59XxyWvAVX9xc+YQ7JR9w0N6jMGOmINXaj+uQag8UyyQU9NprVIFaBsU2dM21pqHVxbb9jdr0f01UncFtHYCJ4dDgUWzctShQABed84Oq6Qjhxd5+R0/X1p1LvHP4+uTQD3w0fGdDyDnTEFtUBGICvA9etHxnXOHAzHJf7FQyPyzNlphZy4lIfnsgpE779lYMk4kPqxbOmK6VjdXphM5uQbL42rqxRAyphqPFKCgYDs3dwpH3z9Ti0i9tdPnVOnbVACMp3OeOsQCEg0xDpnNcbjA/ftXJib+28d0P2II5b2nzs3o25Zinx1JarqskZuP+Dyxm1LxAOO0654WCMKBttjGj2A6xXgzPrhvKWPrCfZs/SVv5MHW67k5W+/e06OjiYVYLuYCOIxyMftiIU1auHEeFLXEnCKvEiFskY13Lm1S/dvKBis7Y+yBANBkUBIKhWv6F2N9eo6dcSJt7jkkg0GvHzcBQUCut68NjrHZ8ITTeTKuHO9uWwkby08V67JZDKZTCaTyWQymW5QaItmZ2fVWXvy5En5Z//sn0lfX58cPnxY4xG2bbt2XIPXuq4HN+yNCK0Xwa/DHkBslEe6lCvWQWegI0ARYOscgY1yWDcSVK9XPjD3/Nird+if1azVUuNbVOAtU5Kh7oSC22qlKnsHOxTYAu8Athw9v2tbt8I0PxBvBJAbjd/fF9y/HKkHspLHytpzNH1iPif97TF9LmCw2dz513rPYKfGFwCLKVIFRKwvQtYMzrt+Envwzro9R5vsR4AtYJBj8/4x0ib9pjDcqfGUwtLbtnTLtt6EujKBkxT80tzZcFDnEKCHA5bj+7heUzlZKN4FBHTxp63iQPwwGfhNtiswslSqaAG2rx0eU2cscFWZYdWDkIjfswXcqZec2GSv4ialH3QjBJwMBhTgMg6iMd57z9AluD+TkZv62+Xp01OSK+FMjip8n8+VZVtPQvYMtstnnr2o8zadLsjWrrhUAwGdIxy1zCOF3ogjkBoI/qsnz+n1ruhYOlDSPZap2VR5zlOnpzU3Fycx4rP90/ftlP/+nTMeGM4DYS93tjKuk+Mpfa+vParAFIiMA3dzT1zdvfO5xfdVSsxdUPNr26NhyRZLksxeimygLcbCvThvHST2qzb1DcXr3B8LBnSduJ9t1xWPylS6sJClazKZTCaTyWRaf938qw9d7S6YTKaXC7Q9ePCgPPDAA9LT0yNnzpyRD33oQwptP/e5z8m5c+fkk5/85Mb01HTD6WpBawfUOCZODAA5oI3ySJdyxTYDmUu5LBvds1atNHZhpZC32VrVt0PhsFbj88/pgSyOzpQ6OoF/uCy/c2pK1wWQ+8KFeQWUvO+AeLM5bDR+/3VnJ9PqYuQZ5H5SICsRDUulGlDIhjMVd2SzuWv0zFbzBVj8zDMz8vjxCWmLheW+XX1LrpMC1JpTEtB4z/ZudS4Dr4l14KcHoNN6HJ/j/UdH5+SebT3yv79lt87Vo8cnJJMv6xxu623T4l7cR74r3mLuITLg3p19GucAbK53/wJsnfuXMVIcDmfvJZgclj2bOhVavnBxTk5M0LeCV7yr6gFGQDs/cZmS3fu1I+NSqlTkufMz6lDl/RrXVeco2bO4Rw9emNUvPOgL9yjczxZlqCehoLhcKS/kCsfDARmdz2sUAg5ZgDzQ+qJGLSTk5oF23Ue4U1lf3Lj0+chIUp9PGw5WlstVyRF74IqQVb0/wG3Wyn32gcmMGWiMYxeXc7hS1TxbxDzjZmZsyWxJdg22S3ciqmPDmT02n5PpTFHf97toNR+5iNu3JJu6Ylp8jfFUaxEIiBXk8+bAcr0A9SQr+LN5L93rDQz3MetflYoC80K5LIloUIurmQnXZDKZTCaTyWQyma5zaPvhD39YfuZnfkZ+7/d+Tzo7Oxdef/e73y3vf//717t/JtO6y7kKz06lNbe1Po90ua7RZiCzFezdKFC90tiF5bqNGwFaclEp/AScAqg5ILYcWHzJ0RnU4/nkmOI4xf3nzweuVKqLHJ/A4Gbu5Wbjd3NNvx85OqYZqe3R8MLhfdrZ0h2TUxPEMHhRBPSr0dz51205wJsxcgQfN2+hfAkGt1on3Ldk2Lr3tnQndM8xLwBlIF44gHM0rPAVCF2pljTqABhN1uw3j01IMleSAxdmdX6397Yp7KTQF/0plET6OqKXxTkgYOTRsaTCxS8dGtO5YMyee9ZDesDVSEdI+0gUAQ5mMmQBhTg5o5GgDLRH1HlOfzsSEY0POTudkT/75kmFxMwJwJJ+hQNVyZcvQcvvnp5SsLm1O6F5w3w2nz8/K8+dm1UwjANWHa41EHl6MikHKDCmEQMA+aLupZHZgDxwx2b5Vz9wpzqFcZPS90MXZ+W7p8vaZz805e9AUY12qL1O+5G6eWLt6Qt9IEe2FADUBnX/A5pDGrpR1SJurDNw+IWLs9p+ezykwJq9TYwFn6F6/krsw/BMVl69s1djPOhEVGE1faNlz2VbD1jpK+26nNtGor/6ruYIe23wZ2tPTE6MZ5veZzKZTCaTyWQymUym6wTaPv300/Kf//N/vux1YhFGRz23osl0Lcu5Jl2uaiOAtRZX7NXI6l3pM5frNm4EeidTOTk/nVU3I5CMAlAuX3YpWOzmkCPnFNACXjXLB/7J1+xYAKIA2+VEVTQaP/0u1aAi8JPcTwpOka06kynoNcVSVZ2/gE4Kz63V1QxwA67idr04k9HfAX7kyb54kbiCjOax+vvZaAz1kJcicQOdMY08ANjuGeyQHX1tOu8AOJylRE7gYAaIf98dm+RLh7x1xRV63+5+ecWOHoWnW7vjC3mx9OvbxycUPM7WltCtJVB+12CHbO9NyBdfGFHX8qNV3MlZbRPXMtCb+eV4/76hHvnoT71yYZ74jOECJoICYOtgIZ87/qdUrSiMxtUK/GU/EmWwuSuh0DQaEhlPecAWKbgUkbFkXjoKXsExXL2sMUATtJktVWQynde9w7ziFCbCYSZT1HgM144DnoBXXKguEZb3etvC8v37ty5k2qI/+toxOTaW1HnT54pIWySs7ljcs17hNsaIa1bk/HRGXawAVdaWcQJyU7mSxhw0EtD9Mdai7M1pOETfvIxel3nLs/yGWv7q5qdekaDneAbacg/zTDG0tmhQYfBqgS19oH95C8o1mUwmk8lkMplMpmsD2sZiMZmf90CFX8eOHZPBQe9otMl0Lcu5Jt2x+mZQdrWu2KuR1Vv/zGbOVOcSpUgVMC1XLF3mNm7mJHUAEUcjhaMAXeq2zZRWDKiPjyUXskqPjaUWilvV5wOvJqqCnFngo8uoJVqAo/K4Tr93dlqB1V3beuX8TFoLQe3Z1KHuSgc6l1qv5biab9nUoc8F2AIi+f0LB4Y105Xj/YA5PwxstIaN8nsfvHOTzj/5qGTXAmyBcG7euZa+ESnhMnOde7g+1mERCL84p3NAMTNA/lwmoPPINbpXZjJybiqtsBFIjyuY4l15ioJxjL+KA7Qs4WJARuZzC4X73HgApThIc8XCQpEyAHM8HFKgTayBBKq6r7L5sj7nnu0x3V8Az0ePjV+W2MpvgH9iFyZTRXVp8xqwlDGQvevmlS9oMoWizGTAqYtFX8K1TF2e78UeiHTGI+ryncsU1SE7nizIEycnFVC3BYO6rnwG2D9buuPq5D2nYyTCAUBfUDBNT8MhoLJIUQDc1csctn4Bg5kOxgKoLUJvKbYWDanDmjcYI3POXkaFFu0BsonT8M8bzy/m1pZk682VQVuTyWQymUwmk8lkumag7Q/+4A/Kb//2b8v/+B//Q3/HtUaW7b/4F/9CfuzHfmwj+mgyrZvWq2DXtZbVW//MZs5UfywC1AeXYDwSXuQ2buYkdU5QXIYAK8AobtH927q1KNdyAPWiQmS1rFL63tMW1SPhOHDJJyWCgTG49VlJVEX92AHCLpuU5+m4YyEFm7xHLqofdC61H5bjav6Vd9yqPxkHwJbf/+XnXlCQ5x2NL2lcQaNnVZeRpdvqCweXf8tPEQ+eNnqOg884aMmSxYVMNALg9o17+xUKur0CSByfy+nf9w52ytlp2iYT2DuWD/CEH+ICBsb64yncmhwZmZdM0cuj7YyF5YHbN8uH7t+t7tXHjk/K2HxW10njFkpleezEpLxp74B83+2b5PETk+DMRf3H5csrOFlxuo7P57GRar8BudPpvO4l9hYRG4e+OucVYFvUhkgiGpLN3Qlpi4ZkZC6rxb6IGSB7tlxJy6GLc/Lt4+Pyyp19Cpfpv5fdG5C+tojCd/YQe5p/XzTKgHmhHzhjya+tXOq9j582FLm4tM3e8vc2WyjVnMQedNVIBPrSoi3nHF5vRYNeHAUDDeNyNm5rMplMJpPJZDKZTFcf2v7BH/yBvO9975NNmzZJNpuVt7zlLRqL8PrXv15+53d+Z/17aDKto1ZasOt6VTM3qP91MkX5uWewfRHo4w9wrv5eBwb12iEAX1TvXQn4vvT8DjlwnkJkaYWltMM6eMA1qQARBy5yrujlOIkbjR23JkCYe9+8d0AzWodncwvtPHpsYhH8XArsL8dJzdx85If2L/xOmxSvSuaLimW9/1ne3my1P/1tOEj62WfOyyeeOKORF998KaiQ/cdevaMpfH7y5JQ6WwG2oUBQge2vvfsOzYJ18wjM1OJcAVGIicOyJxFRVyoA2hX5Yq79zl9/DjLAHFduKBSQ/vaY5ve6efrUd8/Kf/rmSZlM5hUAz2RxlBY12gHXLI7izOi8OlABkUB3Yh448t/XFpX79vTLd05OyuGReY0QYGKIVPj3X3lJ/s2P3KVr9KdfP679pRHHboGjjOO1N/fK8Fxe5nNk4lYlFvDAPvEWc8NzWvyLecjieq3OafZsRywkP/vmXfID92zTPfSVQ6O6rxijA8LqiMXtugTUZEy0FwsHJVXwohBgojUj7YKbtlqDuvSR9lnzFKHALfbHevNU4hYo4lcse3DbjLYmk8lkMplMJpPJdI1A2+7ubvna174mjz32mBw8eFBSqZS86lWvkre//e0b00OT6SoW7Lpe1cwNWv/6YljqFbziKDxkE6jrv3c9HMSXCpEFtNAYuaq4XZ2zlp+N1me5TmL3jIMX5rRQFm5WoFwrsFw/pkZtO2frch3a9eAXcFrS7NeAJPMldWg+cMempnvz5ERKj/Q3e16rLx8eOTKuubBd8Yj+5PdG0NbB5k89fV5u6m+TV2zrlq8fm5CvHyWKQGTvpnY5PZGSl0bnZSZd0OJgxAB4oL1ds39ZHwB+eyyssBJoS0E0B9VdbjTuW74UoLgYjlbNoK1U5DPfO6/Pe/bcjGSLZXUhj83nJZ0rKTRN5YryjWMT8pqb+5RskglLH1hT8mkpWsa80o++9pjEQiEplkvqngVsPnV6emH/vGHPgHzmmQsSCBNtUKnFQQQVHN+1vVsCgXk5PDwnsXBA5nNlmUiW9BmoOxzUcY/OZaWnPSav3Nmun43uRHRhXYhJ4PNz8DwRGBXPWUufQ0GNRGiaORsKyD3bu2V0jozlIikRsrkrqjcnKUBXi0eAvtKCKzamLueCFwmxFBBmvpcLVwHFrczAuHznch6YXkpeOITJZDKZTCaTyWQyma4ItHV605vepH9Mpusp4uBqFAm7GvK7Qf0Fp7b1xOUdd2zSQlR+l6gfGHK8myPvewc71j2T198voB/9+urh8QVnrcu2XWp9WsF3nkF27JnJlMI9CmaxX5YLnBu17YekAGHa7++INd1//hgKimABNMvlqgy0xzQi4M6hbnnP3UNN9yb5sYBznKGNHOH0kbZxoZ6dSisc9fejWgU8FjU7F4cvn5lmnxHm6MJsSR5+aVxGZvPqmsXhesumdu0Doh8UEsuVyhINh+Qdd2xeBIL9n0n08OEx+dqRcS8GI1PS4mhAWoDtO/dt1TE+emxSgS4Fwogy4Og/zlmeyGPDwaCkSyUd486+NgXebk/iAibTF+crblmiEj7w+p0yPp9bcGizj8fmsvLD/+Ex2dwdlzftpQhbtxwZSUksXNE82nu298hUOi//9bEzkswVJFv0+kg+rUYcBKrqgH3TLQOyradNoxMoYDdCv1N5mcvkdS+wxwDXwOJ927oVQjtIyj5uJEAq48LhzDXzuZK+FgwTWdEundGwvDSGu9iLWygFiCVZ3AbP4B4AbiPpXK4gJsHFpiwV4bBcLRfY0j9gOS7pdXq0yWQymUwmk8lkMr38oC15tq30m7/5m2vpj8m0oREHV6NI2NVQq4xXinz94gO3NAWGOBTrC4GtF0B3/eI+CnMB34gMuGuoW6K+bNul1qcVfOcZAFXg2Woc1Y3a9oNcHLwAYdoH4H739LQCPApfbe6KyztwoE571wP/gJLZYkmzVwGiZIFyXf08ubGS63t2Mq1wN5svadu4Yd013DfUHZfPfO+cTKWLUq1WZTqVl9/94hHNzu2Mh2Q2k9d1jIY8VylzDaT0rxPr9vkDwwpM6Xs6j2M2pE5ZoOS56ay8amevjvnR4xMyMpP1OlqtOpa7sP7qqK0VlmPuvKP73nwdyBKDkVLYy724iM/V5jaVL0pHPCyZ/4+9P4GT9CrL/vG79qqu3teZni2zZJlkMiEmhABJhIRNEEQEWRQQBX4CgrIIooB/BF9e5RUQFHyRFwUhggKyGIQsBEL2fZbMvm+9r7Xv/8/3furUPF1T1V3d0z1bzuWn7emq5znP2XoyfOs6153xyXSmIGnyD4gW8BIBUFTXKcD7x9sHZH1PS2UtAK3cD5gteErqgGVeX3/davnSL/bLeCKryJBsXLJ0dw/F5MkjE/LCy5fJb169UqHyjoEp2XZ8UkbjWYWGQGPHyeq4VzUeoT2iY+1rjeiHH//x6BGNQFDnKjm1pZKMxLMKvq/ob9M9c2g0ocC5RBGxOvZWU/yMwmJA50Q2J80hv8ZA7BmKyZ7BuKztblJ3bm9rWF241cDWyA1sDaA1LwFCceY2mjnLfLojGc6UTPcssLWysrKysrKysrKysjoNaPtf//VfM37O5XJy8OBB8fv9sn79egttrc7piIPTPeJfC1KipS5uttTztVCYvRCAzhwCGH/y1KAe/8ZJ+PChcVnZ2SRd0aAcGvPMOY9z9fd0HNW12macpj0TuWAA7rZjk+pABdAC7Aam03L1qnZ9Lk5TyGNnNCheT1ahKBCOGAH3fLj3z+rOiMJAXLLMC1COYmbMs5lfQKKTJ+q4ooGD9+0bE5E98tSJmJNlWsKJWZJkpiB37hzW19zrxPOIPZhK5dVh6fN6FdoBbCk0d9myZs2pdSB1QsdM8TDcsYDL2QrL5fJFzbo9OBqX6VRO4fEbrlutblTiGhhANOiTwem09o+IA7JSA36fBH3O2HD3cg3QmSJjbeGAFr/DLe6M2XHDAhmZq28+dER++9qV8p6bL5bvPXFcwToQOJnJ6x5LZgvy4IExuW5tp7zwij45MZWSA6MJnV9vmXY6RcycvFjcu4yBGI/RWFr+64ljcnwyrdfDYrmFsbVHguoUN3vNicJw8nLreU15lTUD+ALdybIlNuP4RFLHSGE1xh8k/7cpqGtSTw4Adr7TL4A34vm4m+cTT6CRC3J2VC8+wsrKysrKysrKysrK6umqeUPbJ5544pTXpqen5fd+7/fkN3/zNxerX1ZW52TEQS1IiZaquNnpREGY+8fiGS0ehROyoylUc74WArNpG4clwI7CYoC/uQC6AbY/2npCIRpgrCng1dxP8ko5Zg4Am2se3f2tNUeL4ag2CIn2AXGAvHy+KNev7ZKhWLoCcB3XZUlBK8AvnctXHMMUp+IYv8/n1YJRvS1h6W4Oq5vVqDp6AUAIbOxpCcnxiZRE/F4ttHVsIlWZX+Dhyo6IZEeL2j8gaFuTXzOBAXWRgE/yxXzZCZqR9umU5tC6wT1z9cNUTuMHQmV3slPky6+Q+B3PWy9f+vl+J2aiKaDFyh48OCYdTUGNSiBuY9eAk0+8qiMqg5Nj8sihcQWzl/S1yMBUUuMKYJfAyZ8+NSS/efUKXd+A1yPXlnNqAcPhoFcOjSa1v4DbtohPc1NxB1OyLZMv6v79+oOH5dW/skI29LbIaHysAqczCnbTGrWBS/xVV6+Qz/9sryTiWQXQjKvocyA3TmbA5tqeZt2DxEuoIbYkCowjAec/i/SppyUor3/mKvn57hEZx5Hr4rB8I07B783LxuWtleiGYrGoY2RPlGuS1d1fnnIbFDzraXH2dXM4q3+v4X5m3Mw1Y6glYG2piKPWAe64d/m/tT1NMpXMydEJB65bWVlZWVlZWVlZWVlZPY0ybd1qbW2Vj3/84/Lyl79c3vjGNy5Gk1ZW52TEQS3XqnEwLkVxs9OJgjD3A0JxSQJxNvW3LWi+aoFRfgak4bB88uikAi8ckMQx1IPL3HPvvlEnL5Sj7aWieAI+Wd0WVpcm7sL5zKOBwLQJWNzaFFLAylH5ajc0/WoEflfPOZmlg9MZ/RmYdvXqdoWJ9K856Jf/eWpAwSMqFgszCrzxHKIJOI6Po7KnJSwv2Nirr5s5JfoAcAqYxQnKUXiPVySWctyoFL4C2FYXlNsaDUp7MivD00UdO0AeF+oTR/NOtIAej8fZG5JlLeFTsoIpFkZhrm3Hp3TeKeQF8DQxCsQ+4AgmBgJA/OD+MW1vWWtYHjs87rhXM3lpjgQkmc5LMlcQX96BsLhjcVHTCWIRGOuWo5PqJgXyHhlPaoSB1+uRGzZ0y2XLWpxYAyBrvijdLSGNWiCPlwgBHKD0kaiJ7z1+XN8HalO4C1BJnxkna8S69LeHtRAbjl+gNffnCyWdx289fFguXdaq4LY14pdw0C8F3LFFJ/aB56F80SchnwNqKXimxctcNlRcsCvbwtIWDcozVrXL225ap+uJiEfI5vN6DV/JXLHi6DVxBob/4tLGSUusBuOJZ/PS7vfp7y17hv5zodu3i7vY5+XLKyVvSTKFkixvDUlLJCD7huKydyguuTrOVdph7kZiGVskzMrKysrKysrKysrK6kKHtmhqakq/rKyWWqcbcbBQGdfqU7hWx5PS1hRQFxzwA3iJ040jz4vp/F1IFIQbsOKEZL5uuLhH7+9uDi0ouqEWPKZ9HIIej0dzSrWGUdl1jGqtEfcAGIG2CECHQ/GNz17jPGfH8AywOJfTmPfu2zeq0HOyPDUcv8eYaIqA4QZW1+pkWuMJ5oLf1XOOe5X7zc8UcTOZwN959KjcsWNQQgGvQuhIwKuuSwOK6au6RT0edboyLn5GBjbjLsXFyv2AOlyjYb9PvN6SXLq8TV58+bJTCse5828nk1mFq6s7m9Rlizv3xIQzGV3NQe0T002RNxzAxC8w73/2na1ycDQhYb9XUpmC9LUG5Ykjk/LQwTFtDyjc1xKWgyNx2XliWuHi5cta1bXNvm+LBDX/NTlVkHi2IH6fR3NccbMCS9UBW/7OUX3eJ2P2xg19CmyB/Wu7ojpmQDVOX2IUktm8rG5vkv/96s1yz54R+cLP9spwLCvNoYBm4CayBVkT8svmlW0KloGt/O7hRnVnEK/vbZZbNvbJtx85rDAUATJxwZJzyzo9e123tpvKFTSagBgGY2rlNerBfevhoxrfwP4mKRdpwTApSSKbl3DIr3NvfkdGY+QJF9W9DAzubA5KU7ag4+XvB9rhGcZpS9Gv8WRW/uPRow5ELYkWNOP5CmXLvyxuwNoU9GqEBOsIfGb8xybS4p/OKJyeK+KAgm8W2FpZWVlZWVlZWVlZWV1g0Pbzn//8jJ/5H5QDAwPyb//2b/Jrv/Zri9k3K6tzImJgpms1rbB2KpnXY+D8DODDjgd0w6m4mM7fhURBuAEr+aNQM8DO6URJ1ILH9O3OHYOOExAA5fHo3wfMbT24rA7RppD+GZD33A1d8uGXbtR79Jh/GboqIMsX5batJxTk1nMa7xuOKyQE5PEF3wI0uouAAQop7sS6XdHfMyf8rp5zogJw2tZagxNTaS0eBQgEHIcDfnnZlctn7C/6SOQBTlFgJqDVDZtxolKMi/4zFo7LZ8pwt78tIq++dlVDH1zgJL5j27BMpHCHejQ7l7xYnWuvR544MiErO5r0gwec0c54CgrycfbuGoxpNix9MkCPyAr2NsXicNDiOAUg07+2iEgmV5KcwmqfrleWDFViBvxe3XNNRSdXF4hJQTEiEO7dO+Ic4e+KVj5MIKKAnFxcqdQi62sLK2BmjNz7tfsPqdO1pzkkm1e2a9wCa4trlQJe6rRtDlV+/9g37E1g82Qy7xQsK5NMoOZUKiv7h2Oytjuq93ZEg/rBgxeeXnDluwLUM3lpCft1DgG1fBigoLgkEssUxOfLaizE40cm9NqmgN8pKkZ8RbEkiXReLlvVqjEZThGzks5xFicsf29orMbM9aVdVCgC8D2C97dc+81x6xaLkivfw987RvViFNziivEyxF4sNflFkrNEQVhZWVlZWVlZWVlZWVmdAWj72c9+dsbPXq9Xenp65M1vfrN8+MMfXkAXrKyWVqcbMeAGlzg1DfjDYdsR8inIBFDhGF1sB/BCoiDcgBVYhfvR5G26j+XPB2LXgsfch4tVYVpLWIannJzXNV3Os4zcz+P4/kuu6JvhHDXP5juxBnAn+n9HGd5Ww2J3e8BHQCMCGnKM/+bLevXeg6MxSeXyEi34dB4mEk6xKOCjyWStNf7qOSdGAMdnrTUwMQWIcwZA6Oo1wmF5dCKlQBKohjOWYmu4WQFoBvZqzu1ISYK+vF4X8jvXNLpeZt2ZQzJOiTGYSGYr8O/weFIhM/OkxbIKRQWZFCMDKJdKaVneHpHpcp8YT19rWMEm7XLkfiSRVUBLziw8N0R8g98nHq9HxwUSZCwtoYDe84ZnrZYfbxvU2Aen+FZRDo4lNU7AiWFw9hPxDeQb8xr9A9i6x3316g4FoUBR9gQ5yjiKmQdA7WgiN+P3T82pZdis4yw7W3UuKCRWEJlO59Xp3Bbxa8QCjtfy5wYV8Xpfa0j2DicUrOoYypCUvraE/Dp/3338mN4PWQ35c5rRDODGQcuL2UJBox+4l0xgXLLtUXKHS1rMrJ40NzdfEn/ZnWsiElJLCEjrl0+rLwtsraysrKysrKysrKyszgFoe/DgwSXohpXV0mkhEQOn68BE84Gj9a6dbxREdYQDDsJXXNU/ow0cmT/cMiATyYz8IJnTI+ZANIBevX7Wg8fEBuweikkk6JHu1pCs7miSl2ya6TauhuZANhMvUD12+j0czyh0BPD1REOnZLG628O9CDjDmcn1jOPXr+pXoPbVe1NSLGW02BTvmWJRANvZCp7VmvN6a1BrXqrnrjUSkFWdEYWp9AMQWwv2ctyfmI2YhyxUr+a20iYxCrhyTWRBvf5om8emNGpAgWEiq5EEZLtuPTap7timgE8mMnkFgCbOgjxU1o9r6R/xFVNJT6VPOJ1xtZrcXkAmc/nMizp1LlkD8pJp71lru+RX1rSro9TMB3uN9TRAlu+sE5DazBuvA9pNbjCZwO511pzcfEHXDchJAbig3yNTqbzcsWNIAe2OE05sAwXUfrZrWK+PBv0SC+bVAZ7MzowE0EzbsF+OTzjuYZbNvM8KBv2iEQtXrWzXwnCe8ZIMxbKVaI9EtijZnBOnUOa12gDO186WgO473LSFYkGOZ/OVomm4ZLuiQUnxWokCdlJXnrKzFijeFvRrdATOXJzUBh4vtmxsgpWVlZWVlZWVlZWV1QWWaWtltRSRBGcrYmAuQLe8Laz5oQAyMj/RbVsHFHq9bHO/jnU+Dt/FcgNXRzhsWnFq4THWBGAL+MJRCfTaenxKHZVzPbtUp8gZba3oiDhu0XlA8+pCYkNTKZlOFxSm4Ta9rK9FnrWuawYU/fI9ByrtaSG0ZE4doawtzzfQlVgCwJyBhbg1gcU4bAG2i1E4rhGoDtzfMxSvAEn6OJuDmngIYN3zL+tVyMfcmMgCgOBPt5/6e8U8sveIYRhLZNVBy/70F0SawwFJASxL+GMdy6nCQNylBY77i1y/rktBIK8DZKv7tG84pjmqrDX9AIhS7Ku7OaiO83CrT121Zu9Xj58cXOIfuLkj6tM5cM8b/TfF3Wqt8737RjR/F+hMMTMaao+EtPjZeCKnY8GJ+z/bB/U61pf9z/u4rD01HKTsLzJmcdIS8UH+LukIxfKXz+uT1z1zlTQF/bJ/NCmxVF5GY1mTnqAqAVT1DyfbZo4ZC3m/uKVjGSdqAfgK2Cb/t93n1WfwGhHHzL1GOJDF7HVctdxTjj+WgNejsQymyFlT0LfoEQdWVlZWVlZWVlZWVlZW5yG0fdWrXtVwg9/73vdOpz9WF4gWC0IuVNVH8l+4sfeUYk6nA+hMfuhoAqdtUuEL4GdgKqWOSq6jgNVoPF1xWAIRl9oNXB3hUKvwGLAPhy0gUIsllfIK4WZ7tns9cW0+dnhCx0cb16/vkgf3j6m7siOalN1DzjjNXM0GzasLiXEEnf6TEwto7W4Jn7JvHEfppGajcvyfnFb6jjvTvbaAQfridm/O1Z96HzZw9P+zd+zRMQMh3/vCS/QIfyOq58at9fsA9GS/8HzAH88DZjM3zNGJdE4zYv3+mb9X9BlgORRLSzLjuDo1n9Xj0VxbnK78OZ4pSCAAnPUo+EtlC5qnyz5gLnBBm36ZuQAis3/pz9BU2slX9Yj8y32HFJYC+7mXftf6YIa5Akg+dHBcokGfvPaZq2bEdDBG3LM4iQ3Qph33OhFtQXyC5haX4SZA1omC8CjIpCgexcSAtletatc8YHJqM7m8ZsTiECZzF/cr89HfFtYCYh1NAXX5MgaFtWXCS+zHrQ8d0Q8EcM0y77zOtOKEZk6c3NuqAXs8MhzLaGxH+RbnZeCrz6vRCbRNbAP7nWxaj5A7TTYsMRUipWJRr+c9XgcoZ/JZfRZQGCC/kBiDelrMtqysrKysrKysrKysrKzOILRta2tbpMdZPV20WBByoZrrSP7pyp0fCmUBxHAMHRhjxgqIOjp+Mst0qr++M84NqObKXD1dVzHtAV3NkXsySoFvs93jXk9gKQWl2pr8mtUq+8c0txV3b631ns1VSrvubFe+U1CKIlpu0OoWGbPfeeyYAjnmnzmm6NPqzoi6M82cuZ+LKxQIzJwC8Z93Sbfcu3dUAR3wDYA4mzv60z/ZLT/aekLdqrhGKWb116+6ctHcuAZgkhGMe3h1l+N6XtYako5y4TYiC7pbfBVI7Z5ndU+rw1a9tJWj+PyJ8a3taZG+lpDeA3wtGieu14kqAExWr42ZC/JjgYaMY4IYBK9H4um8Omwp0HXjhm7Ny63nACYPmPV8980bZuxlPvigfT7YMGtogD/X0W/WJ58vyvK2kEynnd8fhtUU8EpnU1B6WoMaAwIkBegCZi/pa5Ej40n9IAK3K1AaGHtsIlcBlIybfhDvsWtwWj8okFJARuNZvQBAzFofGE3o2JhLohIiAa/GLDDP/M7whhvM8pwckQgFYgyc14DKgGJ+1szmYlFiWaeQmLNa5fUS0flk3IWMA5DFFWOBe9qA1erCZchbBvW13lNg7HUgcC042wiwLZt+nX5ZWVlZWVlZWVlZWVlZnRvQ9l/+5V+WvidWF5QWK5JgMaHxYkY2mPEBWHDWaUGhdE6r25uxAiMBUe7iSvXkBoxzZa6ebuEyxvzhl27UuTBAE/A0mxPZjBdQClQ0DktAFC7N565o01gG93oz3/+95YTmi6JbNvaeMucm25WczoF0Xo+qb17ZLp3R4IwYAbeAgCcmU+puxgHJ3N+5c0i2EfHQ0zxjztzOaDeMBYbmywXPyGw17uh6HzY8fGhMwSXH1MkVvWvXkHw0d3llLAvdWzNg7WRK0rhC03npb4/o/eyZa9Z0VNaT/UZ/q3+veOYPUzktWAWcI36WtSH3FScpQFxdsoWSXLO6TX5lTceM3NnZCptd1NUsU8lJdfDilKVdjSgoiX7A8ODBMY0ZYA0Hp9PaDz4UMHusnuOe9jnyT7wF+a58yEEhNMZ629YT8i/3H9J8ZgBzT0tQ3dfxVE5ham9rSMJ+n46B4mGAZH7HrlzTIb96aY+6gHFH069E0CtT5WJ1SAFoCWDt0T3LnI7FKbCG+9ir77MfaA+IynfWfiqZdfJlPc68skaJdE6G4zndg54Z7Z90r1J0zEBR2gr4AbBk3Z6EvSGfRyMSGEe+iIv35DpwHc7gkhSdYmdVMhELiA+P8tlTL3IKqJXzcYG+C7DVWlhrZWVlZWVlZWVlZWV1ZmUzba2WRI3AwzMNjRczssGMh8gDclfHyNX0nASTsx3Prwf4TF9OJ3N1Lldn9bPfdtO6huAifQQ4fePBwzoWmM+2Y5PS2xbW3E/eNxDYrDc/f/3Bw1rESjwlhb0GjlbPI9AS0MVx9ZF4Vq5b21l3HMadS3ZrseSgJCAyLud6c1YNYzmSj8uy+npTzIsMVXJ6yXBlzqJBv4I2jrQzdmAx4zN9XOjecrtZyWDtaQ1JLFXQPgEFHz00Lv+zbUCaQk6+6ks2Ldc5rP69Mu5prjX5qQ4p9GhExngyK2O5oqzsjFSKaXE/8wJYB0QCMN370fwOAVbpF1wQdy5u1GK6JGt7o+L3eCTk90lfS0CjQXgOcPOHW05UirDVguCmYN7DB8fUtQtEpABdZCwhL7q8T/fD0fFkec5LCnXbo0Gdd/rOMwH3FAgjX5oICcaAa/hHW06oC5gLAcnjyZkFyBBu2b3DMZ13YCn9KRY96hbvioYrcSfxTN55ryTaH1ysFGzzeb0SCfo0Y5fICeIXqp9xMuP2pFJ5+uLR/eopu3SZ3/ZoQAJer35YMZ2k0JoD3VlGfi9SENc64jrignHkYvyvJePC5VrAO78r6YWQWysrKysrKysrKysrK6tzG9p+5zvfkf/4j/+QI0eOSDabnfHe448/vlh9szqP1ciR8DMNjd2Fjc5EAap64HouwLeQzNVGtVC4yDNwDAOxoiG/wjsgEMAMp6KJJXBDYPrIEfXWiPPXjDs6onocAO6Av7G1Me7c9kRWhtXBHFCoCmir5+wmvxQ37u7BaQn6fXJlf5uMJrKnXG/g56HRuLSE/HrPT58aUFcmbsZiyaNzt667aUYf54oDqbduQH+KhwEmyWhNZPIS8FOUShRKHiuDQvDaF3++X4ti1Vov457ecnRSJlI5jeQoQPtEHLiY92mG7Q0bnKzju3cNV5zGjBF6WO1Sdu9fQCqxFLicjSsYwI6TlegR82EDwBZnKU5U4jeeu6Fb57d6nk0RO5ylwNZlLU728qoOZ24U4pfdq/7yNbiFAZzxdFGOjCXU8so1fCgQCfnU5U5Mx4mJVCVv1jhZaymRLUqi/Ge9ziOanRsNBrSoXiydk8Epx6ELXDXYFKcvEQfD0xmF+EDbUlUuLJDUvFaNW5mfSgEy8ciytrC87MrlsuXYpOwdimtOc3npKpoLr3rKObv0p+b7HmePsF5NIb+0+jxybCI9R6tWVlZWVlZWVlZWVlZW5xW0/fznPy9/8Rd/Ib/3e78nP/jBD+Qtb3mL7N+/Xx555BF517vetTS9tLJaBKh6piMb6oHduQDfbC7l03ULn07W8Mz8Wcbnl2WtYT2uX6s/zDeA1Dht3dER1eMgrqAW3JvL5QykI0KAGArAlPvIv1u8Vw551e9XrmxVAGra4DsRCoBJXJq4KXGNDk2n9TZ+JhohGgrIyo6IdESDM/o4196qt248m1xgwCQwEOiGu5dM2/v3j0q+VFJIjssZl+ls68V+w51LH4BzFN2ieNbOgZjmutKu6R+Doogerl2gMe9X74la+5efmSN3UTZ+5lpgNw5bgC1rwl4x8Q7M73giK7dtHdAvXLn0A7dzqeQURVvT1Swv3uTA7Jsv69Vic7iuDbKMBIKajZvKxhT20i7glA8SmkN+6WsLawREiHwIs9TlwmItIZ/ENUqj9txpfEC+JDkBnucV7g+XHcmeskPViDaK2aJ0RT0ynS6chLlleMpYmFdcvtl8XlzJDPo+wFahbJEoC4qqleSOnUOa68s99fqo9dE0b9eJOpAqQExEQx1mq89jD5FfTbTEstaIhbZWVlZWVlZWVlZWVlYXGrT94he/KF/+8pfl9a9/vfzrv/6rfPCDH5R169bJxz72MRkfH1+aXlpZncXIhsXMwm0E8M3m4nVDV/JlaxV/Op1nz3UvDlc0JSLP3dClx9+roxzMfAHqcLSOtWb0OLg7OqIaHgP43Nmt5rq5oiQaiXvgmrt2DpfjE5oVwI7EsvLuW9ZUsm4Zw46BaS1wRmEqABeuVyBYkBpVZWh39ap2uWJF2yn7Z669VQ+WM3+rOiMK+XCHUiAL5yXXPXViSqMDyI3l8R1RX03XNfCUPFjmsKMpKMvbw3J4NKkw0VtyCq0xgKtWtsmytoi2cc/eEfnFnhGFhMBigGAje4JnAmxNETvcsrhvWQ+cvsi8B9gmEoT3mOcv//KARgxkckV1agNamRMcoms6owruDTy/4eJu+f6Tx9V1ypzkiiU5MZXWbFoAZGvQJ5EgoNYrV7WGZHA6o20dHIlr+7jCdT6JHogEFOimsgU5OJqoC0VxjjNVg1NpdcACQZHHdb0p5kW7zeGADPCBhMtlC5C9pK9Zc4mB7fuHYzO8tlxHPm0yB1AXKRREhug7udeF4gy3brVMcTk3QBZX6/R3NkcuMRDsD4D+Y4fGZrnSysrKysrKysrKysrK6ryEtkQiPOc5z9E/RyIRicX4H6Uib3zjG+X666+Xf/iHf1j8XlpZncXIhsXMwj3dvF93QbAnj07IdCovjx+dkK5oSEHjq69dVfM+A/h2DkxrPuhUsiiXLmtRl+R8+g0IA4D2tYblyhVt6vzbMxSvmx3May/bvHxO17MpOmYALN/5mbxVcnGJWcC1Wz3GRtaGa8jTxdVKfAD5rBz3r4ap9+4dUagXgcwpRHOKOjlFoTjS7tEIg1KDe8sNlMlvBQJXg1GcqsyfmatlZQDJdRR662+LqPPXZNq694qZm5FYWsHu+u6odLWEpac5LINTGYV5Po9H4ylw0gJs333LxXrvV+49oJAPyAiy9fm8sqGnubIf68FyXrt336hGFZh52D+SUNDKteyJzSvbTnE8mzkgzsABxQ68xIm7vrtZbt7Yq45t4Dk50Lh2gadARs1fTeUU/KOOMhBmXpg/4Gg44HxwwP4A9OYSDhQtFUraJqCyqzmkWbh5AmBriCJuzBl9wy0MKHZW3nWNz6t7fnlbSNb1NKvLF3DNjaaAGYUEaQOXtsmiLXddIxEoaoYMoC0WKawW1siHekC5Ec0VoUC0hM/nkUQ6rxm8VlZWVlZWVlZWVlZWVue25g1tly1bpo7aNWvWyOrVq+XBBx+Uq666Sg4ePKiOLSurC02nEymw2Hm/BoLhsMVdmc07EAwXITml9aCtgZuj8bQewyZOADhoXJKN9hsoBQxjPu7YOSwv3NirmabzzQ6uBa5rAdif7RrWeAXAI9+rx9jI2nANcQMmOmBle6TyfDc8Buq2hv3qgmQ+o0G/dEa9WpAM+Il2DUyrO7YReO8eD1B1RXtEi4IxXmA5oBNnKaAWZyrg2uTGuuelnnvazA1QE1g5MJ2SVJ6CWiW5qDsqxyeSMg2gS+elpyU8w0HL+IhkiIZ82rew31cBusg4kM1a0D7u1W89clTbB6ADbnFcTyazctu2WOVa9oO7LVN0jA8YgO/Abz3m7/XIyo6odLeE5LuPH9f2rl/fpWN/YP+YJLI4nUtlx3NJIS//iaFA2Fgio6CTZ5KDa6I1jk4kNe7BZMJqka48sRM5zaElYqKeTF0uACu/U8jJ1BUJ+TwSDPgUqq7pCstvX7tSHjo4KVf0tynlnWJshaJTIG0qrZEFPJt+UBwMNzFOVyJCBqfTUswXK85eXmc9wuQya5G0/Iz4A9OPWv91nc2Ze8q1Ho9GVACai9WhuVZWVlZWVlZWVlZWVlbnP7S9+eab5Yc//KFcffXVmmf73ve+VwuTPfroo/KqV71qaXp5gWqxj91bLY3c7lbccJlsQf7yB9sV3uH0O5PrZoAvewaHbaGY0xzUTF7U8ceeqtUXAzeBrhSpAsDx83wBdDUkHZhKzwB09SIYau31auBZF8B6yoDJc+rx70biHsw1zAu5qS8p56ZWw2OO0T9yeFwmUil9Do7bmy4x2aoZhZ+AOeab++eau1oREPSP1x+7Y4+uFy5R+k00hJkP97wwb8bFWvPvCA8A1avAeSKZUzAHDMURDBwNET3QHZU3Xb9mhkv3V1Z3KLxnTFx39er2yvNYJ+BsJl+Q69d2adGxO3cMyYnptLp6iWzojAY10/hZazvVEXt4PKHREwBPioi5++sUHUtLT3PQAZoenKxebSOdy8sv944qJAXEnphKaXYw7l+AJkW+iDuAodKfRBm6hvweOT6R0sJhAPXelrAcHEvIdDInKVeGrDtWYCp9KrA1ebBMaUs4KIlMTh3IuGydKAOPtDUFdc2JaVjb7eQZt0WC8qLLe9V1vnF5m7reyaYFRpeKIgXG6PNKKV/UNWCuNi5vllWdTXoP68VzWyNeuXR5m67B6s6IHBpNyGNHJk9BsbNFJjSqJOG6nnKm7jzus7KysrKysrKysrKysjpPoC15tsWiYwOi8FhXV5fcf//98opXvEL+v//v/1uKPl6wWuxj97PJAuKFy8AuYBRUhmPPjx+d1CxSjrYv5brVE2tIJMJUMqeACTBE0SrWuFZfDLgk3oDj2bj9OF4OqKwHeus9dy5I2qiLtjqXFhcr7W45OqHOxYlEVl54ea9GGwBLcSmSi+vey/1tYYVn9QqQ1etPrSxc9L5vP+k4VbuaFcAxR1q4S0TjCnC20kfg71x5wNVzBagzc7D9+JTOPU5NN6Cu7hcOVxzNHG2/c+eQ7kGgM2O46ZJu2V7OvQX6ATu1sFexpEW0OqIBdaMCbKsd2EDaBw6MqfOUwllXrGhVOEz7zDfgF9AqMibdzWHd84y9JRxQVyiO0j+6eYO6Qr/48/3q4ATeEsPQGQ1JwH9ynRkLjl6KjH338WO6Z0MBn67vcCyjcBMgSyGwWCmvJzYAujhrJxJFXQdcq+6DHPw5Xyjp8ykaNhTLyOrOJnn88ETNtaiVOqAuWh8F4GivJLF0Tr/zwQZzwtwwp+lsQVK5ghbxOjKeVLBMn2+8uFuB9vB0SjOStUEpVLKEKRhG++GgT16+eblsXN4iP31qSOeCtruiAXn2+m7piga16N0dO4YUQi+VB7ac8uF008rKysrKysrKysrKyurCg7Zer1e/jF73utfpl9XZP3Z/rgDiCw0qu92twCgAFm5V4M583aqLNU7uA+h9+Z79EsvkNUuUI+v1+mLAJcfxo8FJOTaRkrYmCkml64Le2dqZDYDOy0Xr2ps4AHEykwPKtRQG4+j7W29cNysArj6O30gcRfXxf8Q1AFFeD5WLWkEMWyJ+zUkljqIoJW0PUDxXFjFRB2SzUihMs1eDvsocaMZuMqdzwfF/clA/f9deGZ5Oy5NHJ7VQF2BweVtEoR9uU41CyBe0f8DKH205obEDpTKII/N1ZDorxVJRVnY2yQ0beipu6GoBda9e3VFZjwf3j+tR/sNjcYXL7CcAXyyVl74WoCcuZwegRoI+jXJgvt75jcf0Q4CWsF9du4BU4Kl7nQ28fvTwhI4ZBy3XTqbyEvF7pLctLLF4XnNngz6fxhQA4XkW7lZcuMVynIKnVNL7eY5xQ/N8wGkyk5dcnVDYaMAjmUJpRmZsf3tYIkGvDE6mJZkriZcRFp3sV2Is+D3n2Tho+Y7Ll3kHOANrv/3IUV2TmO4LxxDOHm4K0FcykfnZo3sYVzXrynzwwQlOY0D+UwPTmjF7dCJVKXxWS0Q0IK0pJ42pXnSCiYGwsrKysrKysrKysrKyusCg7YYNG+R3f/d35Q1veINccsklS9Orp4kacS2ej4B4IZDyXIfKaEV7WO7cMahH5ckBBRbVWrfZxrxY46Q93JPAH3fRr3p7yA0ugYMd0XjNvVDtYgWcAXbd46h2yBp3Jrmx9cY02143exMwCVjjmQBockw58v7Xr7py0feyuw1iL8gI5jXWmJxeQCcAEBC6prNJnaTAzLVdUT0e7wB736zzBVQnNxj3K9/JrjXZqx1NIbmsr1Vh8Ggso85n+vLwgVHNoSVvFgc1ebGXLGuTYxMJpYJcA1D+1sNHFQbD+YB9OEL7WsJaaIp+0X69v1dMxuy2Y1Ma/eAVJ9uWmAHawknLnDLGdL4gB0bjut8BqEhzjYslBd+4krmfLGApeaSvNaTw1f3skx8wHHCiCsp5ryhbKMl4PKv3AJ/j2UIFQiP2t0c8EksXFJxq5EPQo33NEmHg8chYIqet4jgu1SCVvAREDXpKWljOiDnAMax5vT6P/hmYTLQEMQWspRYQo1HNpy0pPF3XE1Uw/dSJKZlMZSWVK+ffGrDs8UixhIMXyE3fc5ovPJ5w4K6uQb4gzUF/Jet3NmCLIkG/OrNPTKYqeb1zybJZKysrKysrKysrKyurpxm0JRLh1ltvlU984hPyK7/yKwpwX/va12qBMqv5qZZr8UIAxG41CinPFlSej/R4Ns7LcEDBVW9zSF2e1es225gXe5wL2UOz7QV33zmOz6DX9jTPGIcb1h7Rwk8ZLW4EoCKzs5HCY6YQF/MBuAIKAiaBlbgJeQaADodqPXjOsXjcqDdd3H1aOcWAS4pgDcbSCjtfcdVyde4aNy6uSvoCsL3hYse9asY423xxPN691u1NQc2uNXOA4/L2HcMK8KaSeVnZ3qQQM5MvSc5b0mxU3KiMl0JYFNnyA1JzRS3SBdBE8XROcgXyUQPS3eLERbBXKdpGH3iOOwLDZMziVR2ezkhvS0jGElkZi2cl4BUtgkU0AcCaDyaIBSCeYnlbWPrbIjofOM4Zd3dzUHpaQ+oA5vtrn7lKc3oZI05WA2tZ42DAq1DTAEq6zxiA0/QdWJwGlJdjC0yhtKaAX5a1eRRw8xrxC/Rl30jcKRIHWS2JNIf8kis6xfncwJJCYE0hn8JwGCxfwNM0BcqKzr6lSwBbA1X58OBk5u3J9tgHy1ojZVewV78bKeDVQmLk3wLT+amk85Wr6pM6ZnHv6oc/syfM0hYfHCAcu1ZWZ0PBkwesrKysrKysrKysrKzOVWhL4TG+9uzZI9/85jflH//xH+UDH/iAPP/5z1eA+6Y3vWlpenoBqtax7aXSbHBvKaMJGoWUZwsqz0cUUSLX1IxlQ49zRHw+Y8aNCdxT4Oj3yY0bTgWO1esB4Lxnz0jN9VnIHpptL7j7Th9R9TgMqOQoPY5Uky+6bzgmE4mMui8BnrP10x1PQDxAX0tIRmNpaQ761NgI1OKI/ntfeEldeK7yOJmk9VRvb5sx47DF4YsTEwBo5qV6nnA5Asyq9+ds84VT1zhr+b6+JzpjDnA8m3ufSE7KlmMTeo9GHfDl9yq05Kj+h1+6UW7bekKLWDFg/o95A/wBHS8qA2WeYSIkOAbPUf+v3X9I7zNZuCZjtq81rM9b1hZWZyltBgN+8RVLCmeBtkNTTvwCUDuZceAiLtP1Pc06rq7mkLz1hrUz9pJxIH/iR0/JHTuHFKoWCiXpb4/IJX0tsnMwprm7wF2ymPnOGJIZU3jOyYMlTuLqVR3ab2I9Do8nZ8wtFBRYjAPXmRNgs0/yhfwMNyqRB8BeLjBOX7e4HxexwapcaoyvAF8epfm3XudeIix+/4a18m8PHpbmkOPUJdLDuIMVCpefZTZs/S2KU7m+aAsX82XLW+SB/RRsm+ViK6slFL/rVlZWVlZWVlZWVlbnOLQ1Ihrh4x//uH49+OCD8o53vEPe8pa3WGh7jmo2uLeU0QSNwtgz6TpeqBoBrnONWVmjoYzlavOzrcfWY1PynceO6bHotkhAtkaD6pzE6btQyD7bXnA7UMkIxfV5794RjQQ4FVQ2azYu42iN+BVe4XIE9tF/VO851WAbYNrdElLARwzBczd0K6isNS43PN8zFJNvPHhYvvfEcXXlAnlxtM62tw3UpA8Ub8NJOpXOabEplsaMs1YURHWWLw5SiooRDwH4A/iZdcfxyjrV29NmrrkGZytgtKc1rAW9EDEIgBLupS8aS1ASGU1kZHAqU94/HmkJ+eT3b7hIXnfdmlPmlzaJ88Apa9bEXZQOZy/rRtwBkQNG7NCbL+tVl+hIjGxXUdDLONm0rBNjJNuWcf33lhPqvOZLC6Qdn5bvP3lc28eRClxmXNeu7dQ5xkm7oi0i7U0BXU+gMQ5cbxnYFsQjG/vb5DOvfYaOHchPxvEv9w7L8Ym09LQENbIikXWcuZhaKV63sb9V9g/H1CEMwCWDljaBqqg6PcFk3Po9pcp7bjCqztxyn5rDAfFISZpCft0XDx0Y14gJ5lYjGHxeLdJZNtiedOrWA600XCrNmTFL33cNxPSDDH4bZvflLkwe19ditG92kmXMF474e9LKysrKysrKysrK6jyBtujhhx/WqIRvf/vbMj09La95zWsWr2dWZ0xLGU3QKIw9k67jhaoR4Fo9ZnNEHFclsIzXOD5v5pqCS7Otx737RuTASEJdhwaA4JoE3p0OZJ/LgQp8a21ysluBYZtWtFXeOwkbPdLZFNCj5Cs7Ilr5vqMpUHFhzraPqsG2OitDfrmiv01fw11aD0S77yVX1Dk275UtRyfl4GhCvvymayv31trbbpC7k/tTToYs61S9XmZeau3P7zx6VAuNAQaJKLjxkh4J+XyawwtAvmVjnwJkM9fEBNSaa/qk2bDk53Y1yf17R7W4HMf9+9rClXgDLYTn82gxL81hDfhkWWtYoxJ+uGVAmoL+Sttmjg6PJTSTFcAOBOZZb7tpnT4X9+pYX1bGEhkZiadlOi0KO9nXtImz9epV7bJ7MCa5YlGuX9ulr9FXXObuwnBff/CwFuUid3f78UntL22pIbZU0Mxdng9oJSLiHc9bLw8fHNdcXiIfiEZIEROAe7ZQVHcsY6RtnOb8mRiOAyMxjSQg6xcgDBQlYoHCbUDlmy7u0bENTKTEU7aw8o28W+a3HkTUYmc1Xi+Vna4OmHUyddkr7A8tFud38mvZS2TvxqsKoTGXtdyx3nIRNfbObO5Zfi8YO7nCpj/zKTrWqPyAaR95vLiqa8/FfMS88AGO1QWkOv+9s7KysrKysrKysrI6h6CtiUX493//dzl48KDcfPPN8jd/8zfyqle9SpqbT82ftDr3tZTRBOcDjG1U5IDWA671IKg7BoA5dhejqjfX7vXAgcrRfM0XzRVkSkSPtTcC2RdSEM2slwJC/8lnuCGqGzY+/9Ie5djEJIzGMzUjBBqB+Sbfdb737jgxJT6PVwEhR+UfPzyhMQK/dc2qU+bStAsoHI2nFUjz3GjQKxd1N5f/7Jc7dg43BMR/tmtYc2DJY6WY1L6huPS1RSqFx4i04N655hpV8nMnUtLbFpHLowHZVoauX3vgsM4xY8HpDbwE9LG+uFSBiOSiGietKfzlZOr6xN/sVWerGX+t54YDfgkF8hL2+3Qu9wzGFDgDSC9d1qJ7/8GDY7ofb9jQreDXDcaZe9zWCPex45oFY5bUIRryk1VckvFERp44mpcv3LVPRhPZSgE9nkEBMMCvyXvNFIrylV8ekK/ce0AmE1nNTY5nyzEELoDkFAwj/9bvZAdHgtIS8ivA72r2wZHl6GRKioViJfqAuTERBvy5irWqyPfF/f2Kzf367EcOTejcjMaz6vB+6vi0rgu/m4yNPlcXCeNngKgbqtIurw/HsnOCVsM9ycmNAIjLMQ3V/T1tPKqRJGT8Lo47ljlnrhstmmZ17osPSqysrKysrKysrKysznFoe9lll8kzn/lMLUj2ute9Tvr6+pamZ1ZnTOdDNMHZVvVReApW1Svg5QZz1U5PIg7cxahqZQvjgATuci3A9sh4UqbTOZlKeuS5G7o06xWwOBfgPJ2CaLOB/HogvlaEQD1Vt8G9s0UJ1LsXUPzvjxyVfDl4lKJeZI2+bHP/KW5W0+5jh3fK0fGUBH0ePV7PEX1AuHH8umG1mRc3ACcmA1C4dzgmqVxemsM+pVSJLMW+Tt7LOuLGxWEby+R03YjVqNUmxcZeuLFX4Tf9/PHWAQWYgFC+U1Ts7177DHVAp3N5WenzaUxCtrw2uGCJMjBOYgOe2aeFYlEdrrh/ca26ZfbBuu5mzWqNZ3IKXFM55iwhfo9HYQ3xDeYDBMA8zzBrQN+J0hgvFwVrwZlKxmvIcS8znxRSI/cYyMl4HsmOafyBu0jbm65fo+PcPRTTPkwls9rvXL6gbm6TFWugID+Hg15d58uXt8rLrlyuQJU9we8MMHtoKq3wkGfz3UQAALF5DdWDizyLPXnJshb9PprIycGRuJyYTEq2UJCRWKoCkRX+zgJezXO5TqH0AkArWzzo9YjX4zhh3dzWREQsVOX0iEVT2tLaC04US7SysrKysrKysrKyOseh7e7du+Xiiy9emt5YnRUtpRt2KYucnUkxBmAV0Irj6Zv6T8YFzAZBq+EnGaDVsBK3I/cDhXkGjkGuBe6a4+fVMJMj4XMBztnA7Fzu6oWA/Llg7mx7oNa9jdxHhu3Pdw+rQ9XJHvXIwGS6AhVrtQsMX9UR0TnEodrTEq4c9wcyVgNx+vGpH++Ue/eNKuClcBmgDzg5NJ3RgmA9zSHZuLxVi2yZzGOKqv18z4gMx9KaS0oGaltToFKozbiLDVR/2ZXL5N23OH+3AmeVTCKPU8iKsVCU67ZtTjTGilyTwn1cvQBb09/qeA326xUr2ma4f6v3AbELgFmgKkASh+2OE9N6hP/S5a0yOpnRvU+xs+q9xD1EaQBaYXXPXd+tkPP+/aP6Hrm7gGPmmhgCQDfYEQCKu5NnmSJtL7i8T1735Qc0hkHK9ypUrXKA4jYNB/36rJde6RRYQ6y7iRRxMnuLjrPW6xQk4zsC2GvfyvuBNQa6u1kj16azuLcndd0olEf2Ma5b+g2w1eUxWbh1XLCmLfN6cZ6g1bRvMn81cqHqmkVmrlZWp8hieCsrKysrKysrK6vzANpaYGs1Hy1lkbMzKUDYbJmr9SDoXPCTAk7kgXK8fCKZUxeneQb31AOhjczhbGB2rn4tJshf6B5o5D4cmu+++WL59E93aS5qOOjTXFrGVQ/6As53D8UrR/OBpe6CY9VAnDbu2zeq8RQTCZFxzdD1yK+sblfwFwn65XXPXKX5pDsHnH7yBtEJrGtvS1idtrF0XtsAfnDsn8JnreGAXL++S6GzG4TesrFXHd1AR4AwP7ujD+7cOSxD0ynJFQoKkSeTJblsWYvjpN0zckq8Rj1HtXsfdEWD8l+PH5NCOSsWgEluLCAc0DyZymkbQGrcrOS64rK9Y8eQ9okoAeaPcf6vV10pn73Do/OmUDRfkFKqpPcCUcnixaOaLxT1z3vLrmSKl+0fjlfgKdECzLEbGDk5tj7ZvKJNXrCxV9eXNTLAfTiWkbGEc5TbgcYOsFWwiSGb3NZ8qezaLUk8UxC/D1etR/+DCJAFlEZDAd0LDx0ck/72SNnx7vQfeErfcNEaYOp2ArvF3xKtIZ+MpwqnQN75FvPSeVkAoV2qAmZWVlZWVlZWVlZWVlZW52ghMqvz04k61zMXs09LWeTsTGqhztRaMQDGWasZpTuGKsfgM9mCukSrXZ4mMmEqldP8VI65N7Ims4HZxYKyjfRvoXug0ft+/ap+2XZ8Su7bNyZtTf5KdAX9okDXRDIj30/k5DuPHZOrVrXLms4medHlvZpJzHWAToAhGbUIQGqKddHGtx45qiCPY/4UPSMKoCno02cCVAG2zCUQ0515nKNYmN8nw1NpB1qWRJpCfgWVI/GMQjmKvMn+MeluCc/YU8Q71IqLYE4BiRzRp41DowkFhRf3NVectO51N3EG1fuWdSP7l6J26MaLu6WnJSjfLdtPcdhyPdB218C0gsPNK9vUkexkF6cV4t7+1IAMTBITUNA5imrRNr/u6xOTKY0rIOKgKeTTrFn2SFfUJ89a16X9ZY74TltEI+wZjqmr1smpdeIJmkM+iaULUpSSAmoiEfh9wfX6r/cfVAdq0OeV5W0RhfYd4YAcMYATuaCv8s5yzmx3NKjgPJkpiNfrVfctD2bMxDuQUcuaM679I3F1CbN2zDf9oX9u8QxjjnaLsWi2LYXQSo5r2tQznE3Vlyw0IxbI/ay1nXL/wXFZTJ1u8TOr80tkMVtZWVlZWVlZWVlZnVlZaPs0dKLO9czF7NNSFjk7k2rUmWogJjmmtYC321nr93llOplVFyb4IxTwyLK2k0f1jcuTteBo9tGJlKzqjMieoXhDa3ImisA10r/qPYAT1g2u6wFo3tt6bEqPuxvHKPNbK1rhwy/deEqMBGsAsOVeYOvQdFoS2bzsGQrPiCKgL6wJ8BwwuP3ElMJMCooBPHHHciS+OeRXALe8LayFs3Beruo4uRfc48RR2tcSVuBHNivttjf5JZ7Oy1MnpkRKHo0sGE9mJOT3KUTGKQr4NXNSLy7imw8dliPjKfHqkXvHFQrc5Pd1RmxBGbSSpWuyct0xAl+7/5CCX/rCmJnfzmhQkhNAZgdOAjcNuIwG/drGAwfGdE4uXdYljxwck3S+pECSmIN8qaS5tkDbx49MaBYzYg1S2aKOjX3y6OEJhevsG4D2RV3NmtGLy9eAVQBlUEqaP+sjIqIcD0B/6duRsaT+TB6xjgN5PLJvKDYDbtYCi4BvyqTpuEI+WU2sxCgF1Yr6PH/IpyCYm1l7XPbMoXHSFt0gi/gHHMle0TnielNADNGXZLZw0u27QDHWRmBvtXjmg4sMbOkLzmzc5eRCW134ao4EznYXrKysrKysrKysrJ52stD2LKvaTYhjsRGgtZjPrHYwLqY79kIpcjYXADVAjSxS8kVXdzoAD7nvw81pnLXHxpIKVIBcsUxeOpsC8sZnr5HfumbVKWvBNWR0Ah4BSftHErP2t1bhLNyRc+2p+bqsTf8AezgVa8HD6j0AGGvkQwGnaNiEHBqN1yyANdf60P8fJHMKGA2o46j/aDyt7lnzDMYARGdNgIw4Qw+MxrUgFs8lvgCFAj65qbdHYS3RBxSyIhKg1jiNGxUgCJxf1RzSdu7bOyoHR5OSK+TliaPj0hIOyHPWdcvjhycUrJGZu7XJabN6PMY5TF4rjlXHjeopA9Ni5UOR6g9d3IDavW5ELxDPgIgTwD18cV+LumPxg5I8S6Ysa0p/tx6fksFYRvfi8YmUOoSBnozPIyVJZosKKHkPwAphBGoCGnMlisTldXwnplIyncrLxmWtMjCVVBhKPEShUNSIghLRBeV+kgWcmc7oOGmI3F3+SKQChdOIYlCVymGvJScjV8r5sgqey3mylSJmxGpEArJ5Rbscn0rpOq5ob5JBLVrmke7moAJ6PkAhDoH9Q34xc+aWOoH9Xm037Pdq33HgVrthSzUKfS3Epcr1TUGPQvL53rzYWLUp4NUCcRbYPn3Ehz9WVlZWVlZWVlZWVmdW9sDbWRZgCdhiXIjAGIALx3H5DoBZ6me63a9AOwpiPXV8Su7dO6KOwdNxxxqYBjQyhaEuRBlQBuwDygKCquFlReUz1LgSgXrPXtclKzsismlFux6Lr7VWOAkTGY5y59WpOJnMNtQf9hEuUlyVjewp932N7D/TP465c6zcDQ+NWHOApimSBbgGeHHU/fBYXH66fVD3XbW4r6s5pI5UCmDhdpzPBwg884YN3doOsBC4yTweHXfcs2Z8jIEYA0AiX0A4HKwmxxWgSHwBMQg4egHyxBpQnAowa+bIvdfpN2vLBx88e6rcDnm4xVJRYehEIqfO2y3HJ+XOnUPaJ8cVnNFxssZ/+YPt8oZ/flC/E1PAe8wxIJLT/EQHXNLXrAW5gLMGQpsPXWrtQfM7Ph7PytHxpBwbT0qxWJR4Oidbjk5KwO+T9T0tGuVAP+lTVq2jJd3b3dGQOqqB2C+8fJkWdQPkRoI+WdEW1p8BntFwQAEmtwIpWe9f7hkpRyZkFJLiZsVpzPu0oX8of2N8CJDKe8zvio6IgmaKmnU2ByXkB8JnJJvP61wCmDuiAf0PG/fR/iXLWmRle1jb4/qWkE8u62uVF29aJjdd3KMF/9Z1R9VlDMgGYPPBC+5Y4C7zvXswVsmYNcI5S/t8EEDmbV9bxIHODezN6rYaEc8ji7dWobMzLeZ2Km1Tcp9Ocn9A9XTSPffcIy9/+culv79f/z78/ve/P+N9Ik8+9rGPyfLlyyUSicgLXvAC2bt374xrxsfH5Xd+53ektbVV2tvb5Q/+4A8kHndOpBht3bpVbrzxRgmHw7Jq1Sr527/921P68p//+Z9y2WWX6TVXXnml/PjHP16iUVtZWVlZWVlZWZ1XTtv3ve99DTf4mc985nT687RTtQsRpy2gaCkzYGdzvwKgAFEAqalkXjataDtv3bFzqZarFC0kz9cNyrakJuXQWFzWdDkxB265C0zhrG1tCir84tqXbDr1WaZPHLFHZKgWSiUt7tRof3YPOm7WRvbUXC7ragdvvlhUGNYZpTCbc4x+WWvIKYjlktv9yfhxs+ox8iIOTSdf1e0wniteoxFHsDs2AWcyEJS5yESK0tUcVGCMM5qiWbh/yVTdfmJagWIqk1cIvXF564y4ipMguXXW+XT3mxiATf1tWrxu54lpaQ37pUR26nRGMvmiAlSv16P7AHA7lfTo8z57xx75n+2D6mDm7wUKjQF62Tu4Snmdvrz1xnUzXLmzzRnz/G8PHFa3q2a0FkvqsKWYGiQRN3I2U5CxREbHyhhxOAMjGQMxCkcnErpfDSRmfn+8bUC2H5/U+AnWlYzdt96wVr748/36M/sVSJstAU5F4umC7BqcVieribzg75xYKi+lUkFy+VKlAJlxzgJHJxJZzaGln8+8qEMhyng8o47b6ZQTgaHObyW+mjKr//ec9d2y9cSUTCayTlwB2dJbBvS6bccm9X6+9HlkEfs88vjhMbzGuqeBs7iGccwaKEuMAnMIpmVv4f4FdKdyOJVnF6ZgPruZr9tWl/4cyJKdzlhg+3QTHxo9HZVIJOSqq66S3//935dXvepVp7wPXP385z8vX/va12Tt2rXy0Y9+VF784hfLjh07FK4igO3AwIDccccdksvl5C1veYu8/e1vl1tvvVXfn56elhe96EUKfP/pn/5Jtm3bps8D8HIduv/+++X1r3+9fOpTn5Jf//Vf13tf+cpXyuOPPy6bNm06w7NiZWVlZWVlZWV1TkHbJ554YsbP/CMxn8/LpZdeqj/v2bNHfD6fXHPNNUvTywtY1ce6iUagsv1SZsDOdtQfCIZD8Ir+Hu0DoOlCd8e6j+mjheT5GlCG0w+wStYpTr5q4O0uMEU2KvDGFMSqBcfda2X6xb7Y0NvcUH9YQ1ykELBG9tRcGcTuOcMdSrsU3zo2maj82RTEot/ALOAj7log14suX6YQbDiWUWDYEvIruCRDtha0rfcBg7vIGBEIxCi894WX6HOrQW7179dXfnlAi4hxpB5HJfe8+tpV+vW3/7NTQWmuWJRmv0+PBFdHCzSS01yr3/QFVyjtx9IZyWHpzeYVGHdFA+rqnCyJZv4CaR/YP6agcEVHkxwH9OeL6sgenEopKMzmHTcquaImCxdYznW8Dnx8/qXdlaxc4PBjR4ibSKgTHPcq7mXyeY1z+5bL+uTBg2MKTzVOQh29TkSCRiV4PepANmDezC/P2DEwLbFkVp1nrDcO2j998aUns3PLYv35ArCWyiAyXwDWFmVDT4u6mrcfn1BnOaZSPhggMzZbKCiwjgZ9OuY9QzGNSwB480GGFiQrxxV0RgMaYQFUZbyAeL/XV/5QISx7h2PqvGZPsl+514h14Qs46vWUtL1coeAUEivjUuaXe4hD4LpENisj+jyZU6wpsQp53OkNuGYNpD0HDLZWT2ONxk7+Dj+d9Gu/9mv6VUv8Xfe5z31OPvKRj8hv/MZv6Gtf//rXpa+vTx25r3vd62Tnzp3yk5/8RB555BG59tpr9ZovfOEL8tKXvlT+z//5P+rg/eY3vynZbFa++tWvSjAYlCuuuEKefPJJNUEYaPv3f//38pKXvET+9E//VH/+xCc+oRD4H/7hHxT0WllZWVlZWVlZPY2h7d133135M/+IbGlpUVdBR0eHvjYxMaHOAY52WZ2eznYG7IVSOKwR1XKVAkcWkufrXrcXXd5X16G70OJgc+2Lauepcbpy/Y0buueEw40+p56Dt56b17hF8wWKeRXl9h2Dcklfq4IzYBl2w3jKKc71d7fvlot7m2fMXa0Cbyvaw/I/2wbl0cPj6sIE1N27b1Svp83ZgDvz8tV7D+p9wNEV7RF14ZocaZy2OEOBgYmsU4BstrltBLa7BVhGP9xyXArFgkJTwCKO2edd2lvJwj08npRkLi9jiZzE0lNqzeRZRBVoEa0CINWJLrj1oSMKyxkz8NrMAb+/Owdi2h5wmyxcIAORCjhdiecAtnL8X4tueRyI3d0cltc/s1fB9n37xqS/I6L5pWTItjcFZXVXdAaYZ36AtER3AEHzBVEH7Q+3nFA4TEE2oC2wFYcmx/sBkbhWgZ98SIR71uvxSldLSJpCPtm8qlPfA+wenUhqbAXAlm7iyB2ezuh4+X1VQF0UyXqK0hz2K2CeSucVcgJZycXNFrKaH+z3emUilZOpZE7nHWCsudIep2CYWwqUy6/xHXBsVKvQ2VxFwsJ+j3NNGYIz97O5ZukT65IDSFd3zsrqDMvHL5/VDB08eFAGBwfVIWvU1tYmz3rWs+SBBx5QaMt3HLMG2CKu93q98tBDD8lv/uZv6jU33XSTAlsj3Lp/8zd/o/++5t/aXFN96o1rquMa3MpkMvplhKPXysrKysrKysrqAi9E9nd/93dy++23V4At4s+f/OQn9XjX+9///sXu49NKC4V6Fwo0PhcA9XygdTXQe9tN65bEmVy9L3iuu2Ad4O32HcPzdgjP9ZzqcXJEFrCnR8ZdDt56bt69w3E9ar6ms0X2j8QUPnGsnqzkL/1iv4zHHXhGXML9+0dlz5CT81fdB47149gE3BGnQP5q5Th7oai5sTyrpyU0K3AHNPI8gCf5rKi3JSS3bYtVohsAf32tYW2XY/21HNnu/uFS/dSPd+rzgc6AWeBmLfH6x39jk4zEMvLE0QnNZyUOBbcoYxmaSsvIdEoOZQvqdgW248oE7vLngem0AmcKp4mwz0o638QqHB5LyIGRuLqwTV7wwZG4QlEgKkpliwpucY02BXxy2bJWecaqdl0vgCJFwczv/Ymp9IwYCPpcPb/sC8aOgxdnbDpf1HGoK9VfkocOjmneK3CUMcQyBX2fXFkArkYVZAri9Yqs6mySV1zVP6Ng3T/9Yr+kswWFtf4SBddKcmQsNcN1Sr/BSbTFPewPxmhcvMwRDti+1pCTK5woqFtYY3rLOhNMlL1PFEU07Ne5yBeK6tZlTLUcuvSJcRcLIuVyazPEmJ2kYSurpZcWF7SaIYAtwlnrFj+b9/je29s7432/3y+dnZ0zriFaoboN8x7/xub7bM+pJaIUPv7xj5/WGK2srKysrKysrM4zaMsn9SMjI6e8zmuxWGyx+mX1NIXG5wqgbhRazwX0lkrVz8WVtxCH8Hyfp1mhALFiSd50/ZqKg7eemxeIyVH/gamU+H0+ufmy3oo78+e7R2Tb8UmFjgb0uQtnuYH4z3YNyVAsoxECAF76QLRCAoem1yNe8eizcIDOBtxpC6coIJHrVrZHpJVYgnKONEW5KDIGtDUxFHPl/FZnzyLArFununW7K9nGuHoBehz3f+TwuLpnmUsYCXPS0RRUeIwjmEgDXksWRbwF3KmihbNimZzGPQD5Hj445swpcLbsjmsO+RUYt4VLCoEv6W2W51/WK79+Vf+MDxncjmbiFIDrjJnvPJcChcxRRzSo88u19+0b1QgFXLaeCl0EjHu134BUCojFUzmJBHLqfI27MlGVqxZFC6pVfzCB2/d/tg3o+gA4veV54TvzRltl86pE/F4nFzidK8Pak+Kew6MJLZbmIV4hkz+jtJPCccBlAC2OXaIR6CMffrCmxTrUGMjuwQRdBWcpqNYa8iugTmAztrJaYk2lc2e7C1bz1Ic//OEZ7lz+/U6RMysrKysrKysrqwsY2nKUiygEHLfXXXedvsYRL3K2ahVpsLI63wD1fKDrXECvlhopojXf5wKBAHULdQjP1geupWAXzk2eB/S8tK9FM2DnkokDcLtQEc9a1haWJ446MAqXJkfe25tC2nfj4AQIAv5OTKScAlwRjrhTAMq5D3gHLL1+XWcl03Y24G7c1WFX8TeEw1eLhkWDWnyPLGfTBvM0m/vauIlN9iw/zwXZX7ixVwuI0dedA9MKngG3tA+hIz/WLyezX3HKktM6nshpfiugrz0akP62iMTSOYWzF3U1y+CU83wYIG7SoB7JJxO2qOSQ5zxnfZcWaKu13u5+sibERzAXxDYcGU+dUqAQuMv6sBb0AyhKkTfAOuuUKQAncVJn1IUL2JXcqfms3G+Ad3UhOebl+08eF6+3pEXcGBcuXdzERpo7qxnBuGhnxh0Y0JvMFWV5e0RBJ2C+WuDtpcKfTL9xhbOWqVxemoJEJHh0zsjDrXmfDu7U1zP5ksRKuRluYSurpRQfIFjN1LJlzn8/hoaGZPny5ZXX+fkZz3hG5Zrh4eEZ91ETYnx8vHI/37nHLfPzXNeY92spFArpl5WVlZWVlZWV1dMI2lLw4AMf+IC84Q1v0Cq42ojfL3/wB38gn/70p5eij1ZnSIsBEy+EscznXt7femxS7t07IlOpnDQHffLdx45qjmi9e0/HnVsrpgD3HhCQrNNGM29xTv77I0f1db5u2zogL9u8fEZ/zT0A2+0npiSbK8qW1KQWWiO3txGZOIBawuG6qjMifo9HhuMZ6W0Ja3SCAaXk1HLsHy6lDsmc46hc2dGkzlEKTJF/Sh7sr6zp0GfNNY+Nuqvda8bPuEXv3jXs5KcWAOSFyjXGTazFwgol/bl6vgGpbshODIEpcEbMBfsBKI4xNuD16jNwZuKoZF7wkwJFiTrAYTyayEpbJCi9rRHZvLJdHcahgFcdrKwPEDBfcvJqcQvj1CSfF8DK89/+9UfVuWpAOmOhv9965Khk8gW5dnWHPDoxoQW/KMa2/fiUDEwxlmZZ3uapFCjU/R91oiASaYqXeeSK/jY5PpmqwFJAKeNlDrmH70BHN2+kfziJ3/mNx9SN/YLL+xTAM6+4sQHAwEv2emvELxf3tcjDB8dn2E+BufwXjUu9Lmhr4hMoooaL2cRqVIvlzBYaM+DSX6NI0OvETsxyvXmPPnnIEs6WxOdxIFichy5A6YXdZmW1INnPB04VkQZA07vuuqsCaXGzYmR4xzveoT8/+9nPlsnJSXnssccqxXp/9rOfSbFY1Oxbc81f/MVf6L+pA4GAvkaRMYr9migyruE5f/Inf1J5PtfwupWVlZWVlZWV1YWreUPbpqYm+eIXv6iAdv/+/fra+vXrJRqNLkX/rM6gztZR/3NtLPO5F6BH8adDo0l1IW45NqVHuk1hqFr3LsSdO1tMgQGds0Hp6jENTCblyFhSi1EBGCk0pUS0PCYDaznCj/szmy9Jb1tYs1RXdSxO1jHAEIcrfWqPhnQcZq6YI3JqJ5Oi4BYg/ZJNyysOWGBeX1u4MofEMiwUQMwVCcL7PB9XI30lO5ij/+aeWm7i6vle1hqq64Q2c/nT7YMSS+VkOJupAEfyd3OFgsYAAKrj6bzmoYb9Xs2kBdYbwMk+4kODn+8eVvCqRbaK5UJjuGw9HgW1W45MSjJX0Lk07tbNK9s0M5iCYThsx+JZdaSu6ojI1x88rLm9tLPl6KT0tJ6E9m4ITmE3AOnRiZR0RYPqktZCYuNJhdEMicJaFATzZpzCYhQl03Gqe7Qgd+4ckjt2DMpf/TfXBRWO8gGIWS/2Ktm0v/GMfi1eN10ml1xHuy1hnxyfSEuuqlAYW5u9jgPYidM41cCaKziwl1+tuUyFpnmNLdAYCyd/thwdXHnPXGucv47b1rnbRoRanU+KBJ6ehcji8bjs27dvRvGxJ598UjNpV69erRCVmg4XX3yxQtyPfvSj0t/fL6985Sv1+o0bN8pLXvISedvb3qamB8DsH/3RH2mRMq5DmCDInsX88KEPfUi2b98uf//3fy+f/exnK8/94z/+Y/nVX/1VPeX2spe9TL71rW/Jo48+Kl/+8pfPwqxYWVlZWVlZWVmds9DWaGBgQL+oeBuJRDQ/kSO9VuevTgcmXkhjmc+9AD2cnqZg00+fGtDXZ7u3XgG0+faNI/Ibek7mgM7mEK4e03DMOa4OFNSogTKQpL8GOOL8xD2M05PMVIAtkQIv3lQbEM83cgHHpTpX80V50eW9M0CwOjibnGOdU0mPPHfDzCP9uFN3lyMN5jOHC4X5s+2JajdxdZwEgBfQuqz1JNi96ZKeU56xrrdZHjo4PqMoFiBxLMEahORFV/TJT58akpFYWts8MZmSJ49Oai6tGQMu7zt3Dksk4NO/jyl8pcC5UJLhWFrhLwWwgJO4lwHiuwdjCmMPjCYkGsQJW9DcWgDr4VJRC6IRa7Cuu1lBKznArFW99WZt7t41pMCfBANiCXheb0tQ38cJnCkWZSqR1ZxiEx2AcCrruNPECKRPyXLlbYq13frQEWkLBxQwm4Jdy9vC+p29nSvnBsBeacPvArFkytYSr7ZF/ArDKbrWyGlw2mVsiJhct3iZAmv8fjHX7hzf2cQOtyZaq3NNONyfjgKMPv/5z6/8bDJi3/zmN8u//uu/ygc/+EFJJBLy9re/XR21N9xwg/zkJz+RcDhcueeb3/ymgtpbbrlFvF6v/NZv/ZZ8/vOfr7zf1tamBX7f9a53qRu3u7tbPvaxj2mbRs95znPk1ltvlY985CPy53/+5wqJv//978umTbVPslhZWVlZWVlZWV0Ymve/wsfGxuS3f/u35e6771YosHfvXlm3bp06BDjGhQvA6vzU6cDEc0Uz4gMmkpX4gPmMpXoegEGAKFyJQEyO9QPeDKRyXx/0+5SAzjaHsx3Rd48BGLaiPawOx3v2jOp7HU2BSnGo6vZnA5LVY+ptDUkqhxuzJMWyxdC0dxJQNivMoz+ANhy2ANt6Ltv5AFGuvWPnsF7Lc4GQ1ZEE7jkCcv73lhPys11ONiCFvHCZcuy+kYJxOEUpGHbXziHJ5J1x1spRXYzfDcZGdAXZryZOAucpEQY9LSH9jjPWzA3X/3DLgEwkMzKVys5wYAIhcY/iev3FnhHNhiUGgAP+6XxeXanXre2stIUrdWVHRAt3AWTDAb/m3uIuTecLMjyVlpAfWFuS4em0RIJ+hboHRuN6Pc8B4AMcU/miJOMOueR36MhEStZ0RjQH2MDZWuvN/gHuutEobUaDfvnDX12vMRPHp1IaU+D3esXnLamT27hu3aqFV1P5gjq0AcktYacY1/K2iFyzpkOePDqhY87mnegeb7mNRgAsYyYnl98JirVlXTdVw2MjHL2FbLF2Fq5HpDV0EtZqTbhyI3W4sZXVOat4qnbu8oWu5z3veWpKqCf+HfxXf/VX+lVPuHIBrrNp8+bN8stf/nLWa17zmtfol5WVlZWVlZWV1dNH84a2733vezVz68iRI3rsy+i1r32tOhAstD1/NRtMPJfzbt19o+I94AqQxJloXIXLWsPqcAQyzeX+pB1AHsfZyf8kDxRoCpwajaX16Dc5rEAjA6nc83bjhm49is1xffcczmf+3PDzzh2DztF0tcN6tMgTcMpdKKsRN2j12pJVilsRgAm8vXxZq7z0ymUKRx+7Y488dXxKs1N53urOJgV1c60588YcAbxwz5JRWm/cc7mZqyMLvvPoUfn8z/bq8Xaf1ytHxpPy9pvWVXJh5xLA9n+2D0oik5NktiiJbF6aQwGZ6m+sIvpcoN0txsacAUsPjcUVduN4HY07Dln2kxsWcz3AlrxV57TCTEBAkTGiDRx5FCqWBLiIu7OoH1CYdtj/gMzxZFYjENZ0RdUh9+ihCS1gFgr4pL8tLBOpnMJbipKFfB7ZcWLaKV5mincRZ1AmkbBGimYRycGYcEh//q69+lxcpoBOXMXEOzAvrDMuXSP+BDSOhgMaHbJ7KKbzT5EyHZ/XIzkpVcDoXDwzrdkHJfHmRa5e1a5w9IaLe9R5flE3mbsRuWfviLpt6bNx77pFv/lAZCyRdUAtYwcI54oS8fh0DgtF0HhJXcr8HAl4ZGD61P1SjwfjIo9lCk5MQkmkTdvwysDU7PDLumytzkXZDGUrKysrKysrKyur8wDacoTrpz/9qaxcuXLG6xzVOnz48GL2zeoMa7Zsz3M573ZG345PabbsDRsciAM8xNmI89ANWudqBzclcJRrAVS8BowM+jxlV6gTJdBIJup8588NNHcPTuvxcpyaKF8sKrCtBStnc4NW9xGY2hT0n1J8C7AN9GYOcYpWxxLMJlzIQO1gGZQBm+uNe76ubhy24/GsAvFCoaiO0/lEXgDt6Zc/EpRsPqMOT/JaiTZoRI2s8czidFMKYnGodreEZCKZlb1D8UqMzEayElzX/yDpOGOBu1TDMrmrAMgNfc2655ijHz15Qo5SSKtY0vcBsdtPTMv+UWfPEBcAePV5vLKms0kOjydk71BMomG/ul03Lm+VZ6xq1w8jzJr/5Q+2K7j3eTzikZICzDJPVWkOa7EknUGiQIIVhzROdn6vcMly/0QiJ5/87x1y6bJm7QMF5sCe5L1iQB+cTMr3RxNauAt3rMYUlCE1Bcx6W8OSyhZkOp3TQmVED+hYfB51mMfTOUm6wmrpIlB8RUeTAmT6cHwiJc0hn87jdCHvgGo/LuOZ4JZ2iayIBPgdSGhfNM6gHNeRzvF77pFoKKBOZF0vIOzeEYk3Ytstw2ieStu4nFkxolREFt+xWM8JbGW1WKKQ3/mim2++Wb73ve9Je3v7jNcpEkbWLIXArKysrKysrKysrC5IaEt2F8XIqjU+Pi6hkJNBaXXh6VzOu3X3jSxOYKOBgbjdGu13vTEawAjMAUbilDydLNq5+mGet38kLslMXouEUdAp7PdpMbB6z52PG7QehKSf0ZBPrujv0X4CiBt1VBMbgQvZuElxKtcb93z6asRxeFyPFJQCKs5n/omzAF7iMCbHN+T3Skc0KOt76hdQBGzftvWE3LXTiWS4+bKTRb9qOabdTm1yYScSWeloCsrxyZRGEQBrAYHEAFDwy9yDcxVXcyydU9CHKDRGzMFbnrtW5xPw/eD+MXXIYmItFp356IqG9P6O6Mk5ZoxkLOMgBVZrka5IQNqjAXnmRZ0K/N0O6MHptH4ogOuUflcbU+lSZ1NAmsN+dcoSfcCzgKXJbEymUxQpc4rZ/dcTx3Q+KHhWJFM34FFAyhcfPvDcTN5x4cJr1TNcFHUAdzcFpdTskelkTsYSGQW79J21wi0vrWHZetwB/0Yx7H8ej+b1HlNg65eDxDPki3ofTmScybW0dzCuQNiwKL7ppR7ndxy39M2X9sply1t1nYnn2HZsUuJZZ+1mE6Ca5+O01fksieSzOKwTZxSu+ipF2M7gQ60uSPHBz/min//855LNnvrhSDqdnjOCwMrKysrKysrKyupc0rz/FX7jjTfK17/+dfnEJz6hPwMiqFD+t3/7tzOKNVhdWDqX827dfQPEbVrRVokPAN7gDGyk3/XGaIDirsGYRI9PKQgiPqFWMan5tl1L5nkcN29tCkpnNKTZrcvawvK716+pCzgNiDVA7sv3HJhXlAX3cbwetzLwm7mcLxjdOTCtsBLXLV+bV7bVHPd8nKvolo29cmQ8ofEIAEGcoo1EXhi994WXyMHRhEJHHMa4LFeUC2rVE3P4tfsPOYC15NGcWu4HwjLGH6Zy8tjhiYoT2e0qpkgY84fjm7Fz7J4CV0QVTKfygqeVvlOwDMcqAJRIAyIS1CFeoBBXXt2xpo/feuSotIR8Eg14NScVGAfkBTxvOzGtrmwyla/sb5XRRE4jC4iSwGmKi3ciITIaz6hz3IkRSWm/d56YkskUz3Kcr15xMl1xJrPXu5uD8pprV8u9e0d0DrziqWT19rWGNaoCmG78p6wzhdCIXaA/wGjEfQDrQpEMYyePFtcqrmEcwruGYzpe/cLxWywpmG7WaImM5u+Ce90+V+YKuMr7CnfbwurUzRacAnGME7ctsQSsgVtapKxUEq/HW4HL9I155Tnj8YyuAWCbtZ1K52QiOXecBvCXPhP/UA3A67FTwHEdttyQ6t0K4G/QGGxlNatwwZ/r2rp1a+XPO3bskMHBwcrPhUJBC4StWHFunBCysrKysrKysrKyWhJoC5ylAi4VdXEyUDn3qaeeUqftfffdN9/mrM4TLcQZeTb75nY/cry5kX5rnuvhCYWBAEgDZSuA8cnjmtOKq5HIhTt3DGnbjeTU1mu7lszzaNfvP+mg3NDTLK++dtWc87GQKAvm6VM/3im/3Dui0Aw4Bfyezzozpu88dkwOjCakvSkgR8ZTcuWKNnnZlctOe9+8bHO/Ok5pB0BHhAOwcK7ICyMA3rUXdaobGMDIsfrR2OyOSVNQqzUc0J9xobJ+AFBT6Ou+fWM632a96jm+r7uoU7admNI2ejQv2SdfufegnJhIKoQGfnKk3ymq5VQdBx4C692Am3soJgaMA9ThfgVK8sGZqlSSK1e2KZgG+hMDQfQAoLi/PaKglr5vPz4l7ZGAFkZjjLiPiWRY3hKUSXJeCyUplTwKiTubQ+r6xsnq8ZSkpzWs+4WsXsAkmbs4bY3YP8QBUCU9k89VgG52xjUldckCZ4kzSGTog/M6IBrYXCjitPWoQxcBZJe1hWRwKqNjx83aEfXrPgCUjsazGkNhMmpHYhkdF9EKy9sj8tTx6RnAlzYcF3BRwe3y9rAcn0jrz4Ql8Dvwn48dlc5oUAH84GRK17IRMS+eBkMLcFXjSh+aYz8uRBbYWi2WEufBZnrGM56hRgK+iEioViQSkS984QtnpW9WVlZWVheeLvqz2852F6ysrJ4Gmje03bRpk+zZs0f+4R/+QVpaWiQej8urXvUqede73iXLly9fml5anXXN1xm5WGqkgFcjfWvExMaxd2AsIIvv/Oxut/qo/927hvXYcSNwdK623eOkUBTAjpxOXJg4DslGbcT1Sju4N3FZXtRFFqqnoSgLnn3vvlHnWHnAp0DPHY3QyDowJhym0aBPC2dNp7MKHU3+7kKK2bkjB3DuAl2BcXNFTZCnS/ExA8lx2vLMO3cOych0Ro/AH51wHJT11swU1DJOW2Dr2q6otkEhLdbF58nKV+89qMB6Nsc37zM/Bl7ftnVA+4GjNZbIySOHxtUpCvAEquJK5XnuNWe+WB/2HX3XYmPZgv4MkMWNzLNHYll5zbW98u1Hjup6tIQD8gc3XqSvAzgVKk8AlXM6Dry1a7vC2mY8nRe/zyeRoEdB8qXLWhT4AqFZKo12YB+3huTFm5bpXnOKdhU1hxZ3Lc7ecMCvQBSIys+Aae7lQw4KcuFgBajCcXEN8x7XsF9xJHNdyOeVJmIjMnlpDRHt0KXQmd8L+o1bOhr0q+N3z9C03s+a8DvpKxdT8xLLkMkr3AfyEv1BxAnzCNghPoWoDfb80FRaATbKG1dhsaRwf2gqU7fgmFvk8PJ8iqV5PXP/rQPW7WoOyGQy30DrVlZWs+ngwYP6wc+6devk4Ycflp6ekx+OBoNB6e3tFZ/v3CigamVlZWVlZWVlZbUk0PbIkSOyatUq+Yu/+Iua761evXq+TVqdQ1oIWFtKnW4BtIUWAKsFA6sjDhYjL7dWP4GC0LvVXVG1WxaLJXWrNuJSpR0FcqmcbDk6qXDtRZf3zXkf/cMdO5kUdZBOyczM2Lnm0cBiYBrOyngmrxECm/oz+l51fEAja2ncv/ftG1U3KUBxdVeTZgszLxyNrxc1AbD9n+2DEvCKukq3HJuU333WGnWx4nZlHXCIzrZmzDcxBWTaAteef1mvFoL75d5hGUs4oBFIh7OY5xGTUM/xXT1W5gpw3Byi4FtOofza7oiCT5yxK9oi+jz3mtMWTmu+/vDrjyqATWYKOteATUC5ibT44He2yiOHJtSRCxS9c8ewvPqalQovFSo3hWRTf5sCcCIPiAlw8lyd/UYbuFV3D8Z0HwLf+SCBYmGsy/LWsGbnstcoAAZwxqEKdG2PhuQ567vk0UMTOl9EH5jCZsQOEJfAM5h/dQmTylA+yg94TeULCj77WkNaiI24g6PjKXn00Lh0t4QVUBNVks4WdO4y+YIMU6SOUl/EO3icWAUKqyXzeGbx8/IeDNYj63ubtf/kDA9MpxSYTqdyp0QZGDVorlWZNrQA2SzM1snqJQajJANTGd2nxpdri4pZnYs6H8qQrVmzRr9XTh5YWVlZWVlZWVlZPd2g7dq1a2VgYEAdC26NjY3pe+SGWZ2/Ol1IutiqBTvnA5bN/SvbI/LgwTHNBUW17pkrd7Y6hgGgd/uO08vLrTVOsknR+p5mBZPEIjS6BjhSuSca9CtAxbXbCOylf1ubnEKCU0mPPHdD14z76kFnsxZAyO0nphTOJbIFyReKsqKD4/jpmvEBjRSzM+5fIDJtIiISAHlAP+alXuQCDlsyWVnjsUROj/aTbawFrcSjUO/IWELbqZWLa8ZF/1+yaVnlffJgN6/qkFhmVOEj0Qm8Dtx070mctbX2qGkXRyhjASTihO3viMhNFzv5t4zLuJPraTCW1oxWQArgj/FMpfKVSItP/3S3QlCO9pMDTJ5vdUQH7mMD0/m94DX2Du5cnKe4lRFrSdwBffZMe6SrOaigFlCdyuY1P1bjFQTg7NM53XpsUkZiaQXGBl4CJnEWA1Q4aV0g87XogFyAMH0BqAOuW8Je7Tc5ts9Z1yXF0pi6c/taRd3PKzvCEvL7ZHAqLUPTGf0AJaeZtCVti2vMnkE8g/nm+fxd8Oz1nfK5O/bIRMpxuM6VJ8v95Xpiswo3L2Ni7oG99QAsr6Vd1cEy5a5G/B7xETfBPNj/lFqdQ4oGnQKC54v27t0rd999twwPD58CcT/2sY+dtX5ZWVlZWVlZWVlZLSm05egZx0qrRUxCOOxkMVqdv5ovWFtq1YKd8wHL5n6ALW69VR0RvbfWPXPl9lbHMADgTM7qXHmtc7XtHifgC6ftQoq+4bAFNALIcDgOTjvQdC7H9Gy5wNX9c/fJrAVxDBStwsnKEfaAzy8v3bRcXZxmD9EGbsn7942qM3R3V5O85tqVsqwtUpnP/95yQn62a1h/Bv61cpSev18yeY0CODyW0O9vun7NrPm+AEgA9nQqrYCMomPsF7JDr1nTUXa6ejTH1ewHxmxAqynUxRF89x4z80B8BPNL27hDOc7v3pPAUWIwqveomS/gIVEPfo9HIu0+dQ+TG8vcmmJhs30g0dcSlkOjCZ1zgC3O0StWtFYiLdZ2RxVmAj6BiPxcL6LD7Gn6NTydUjgK0MYJC5RmzSMBv/S2BjVWANBMRAExDsBaBccmUjeTV1DLvnPyYp3XwT1dzSF1c+OYDmSBswVJZotO7IDGGDjziVOW57DO+4djCoaJOKAoH/PGnuL3Y1VnWIZjGWkLBySWFYXYtNUc8EpXNCj5QrqczVsuOkYubmtYx/+fjx7T4muzwVrzXznjAm7Ecctcc5lhRKEAbvDGfbMA60Cp2BCwpV8GCltnrtVSi8zn80X//M//LO94xzuku7tbli1bNuPfrPzZQlsrKysrKysrK6sLDtq+733vq/yD96Mf/ag0NZ0ESbhrH3roIS0CYXV+ay5H6JlWLZj45XsONAyWzf04CQG216/vUtdlrXvmm9s7n+vnutY9zhs3dKtb8MRket7FuwCBqzojCm/j2YLmdAIAgYgc368Hbuv1zzhDcWcuawW6BWV9T7TSp5OQv1mmkpMK4nD3AsMA5UBDYhI+c/tuWd3ZJEPTaX2NY+x7hxPy2v/7gLz/RZdWgOnXHzxcyZwNlKEhoC+Wyokv7JWWUECBXY3PjWYIFyl6YP+YukQ5Us9+3tDruJbpNwCQPQQspWgXIJfj/is6muSxQ+OafdrdHJTWiF+P41OIzszDms4+fQ24SO4rOb7Hp9KVPcl1wEFcnfcfGJMv/Gyvtq8OW79XXdQDUyk93n/Z8laFpCUKkrWE5LEjE+puxS1KBAFFxaodu8+7tEd2Dk7LeDwruVJR4pmcumnZO+hvX71ZIxJ4DWDLz//x6LG6vze4cB86MC5PHh1Xl2ch4NF5f8aqdl0vohiIG8jmyXhNKXQH2BIR4ZZjbnVArltAxVg6L70tIVnX06xzx9gM0NVmPM6ftZ18UZ3spZL3JMz0OX3nvYHJlO5t4hjY67FUXuGs7tl8UUaYl2I58qH8DNayOeSXe/aOyMh0etb4AtPngEeEz1AyDUbOVnPd+QBbcz+guRHxqwyELnlExuJZSZcLReH2PQ9qRlmdZ+LvqvNFn/zkJ+Wv//qv5UMf+tDZ7oqVlZWVlZWVlZXVmYG2TzzxRMVpu23bNi3qYMSfr7rqKvnABz5wer2xOuuayxF6plULJs4HLLvvx0kIsD3bMLpevMN8gHG9NnCYkluaKFMm+A/X3rdvrGbRrbmiJtyuZuYNl6q7DY1VODYlY3EgWFHvfd0zV8m2Y1Py0MFxJV87KRyFs7YlrEW9cKVyHRCAn43TlT5wPB5IioBwgN6Ny1u1DVyxwE7WHaA9m4DLQGq3c/dFl5/MiHXvIYAkD6MI1UQypw5SinwB/DSvNebV7Nn9I4nKPJAx/Ocvu3xGPIS7aBzrgJsVcL1/OK4fdsXTkxLwe9SlSwzBZDKnf3bHYJC/iyPc5ympc5QIgr62iM6D27FbgdYe54M0dZK5YDbu5S+/6drK2j58cFxhevXvTXW8RSKN25UUWI9GE1CM7AMvvlTe8+9P6PuAW1NEjD8XpXQKqCSqALldrPwRF/Crr10pW45OaeEwXgz7PRpjEc8WdV8UCs7TcZsDZzua/HLLxj758bYBdRbj8iUuw+v16gcEFEhjLK6kAaeoWbag/QBgliOQdW1H4xPSEfEr2K1WW9inecy8Z7gpV6XLwBb3+nzybeer+WbZ5jWWwnFdh3w+/ZBg91BM83mtrBZb/H11vmhiYkJe85rXnO1uWFlZWVlZWVlZWZ05aEs2GHrLW94if//3fy+tra2n/3Src07zhYdLpdlg4kLA8rkEoxcjN7heG2ZcOEcnEjmFgeSTtjX5a7qLq9sBlAHPmPcV7WG5/akhOTyeUIejiYJwi+fh4j00GpdVHU1aCAtnKKDxihVt6qzNjSfLoBanrF/i6YLmwUKpcD/y+uHyOgPrjNO2pzmkebKM6zuPHlUX7r7hmF5jHKVzzRE5tga00v9ae4hoAoAwwG5galRGYxmFdpqD6hVpDvk0hqAjemq2simUxrg0DqBcNA7nKvEDOLyjIZ9CX4AjUI55AtACbIlg2DMUk23HJ+WhA2OaI4urlGvpQ6GYE6/HK/1tTryDmf979oyqE5UCYMQz4EBe29M8A2ZXohh8Hrl9x6C26RWPujNfeHmf9pH+kxuM63U6lddrWRenyFdef1cYB/1sCvg0J5Y4Bo84ebwc/88XCpJ0OUojARzSfhlN5PRDPpzF3dGgbFzWIt97/LgcGElIS8inAJu5T2ZLOjFdUacoG+PHadwUpFCZKLAFRPq9Hr2XbE2g7XAsLZkcJcZqC+hPHxHt0Hd+JMfWFEZzK1Mo6pq7ja7uPy8lsEVmzRsVl7IHcDA3BX36gUGqUUuwldU8NZ+9ebYFsL399tvlD//wD892V6ysrKysrKysrKzObKbt5z73OcnnT/0fhuPj4+L3+y3MtVpysLkQsNzIPfMpcNaoarW5GLnB9dqgvzwD+ApoG5hOa2RCR1Oopru4up27dw2ra5HX7twxqK7TXL4kW1KTClFfdHnfjPt5HlmlAFp3X4yTFahEzAD9AZz+wQ1r5c6dw86alopy2bK2iuvT9Js+wAdu2XjSGZsvFjVmYSLpRCuQjfvrV/XPuj7VYyPjlqJj1ev73ceOytfuP6QxCpmck9mKMxOwxxF7HKKXLWtR52x1tjLAM5UtyHTaAeQ4Yt3Oacbz+bv2aBQC+bUru5rkxWUQbfbGV+89qMfbca8CLBEAGMBI/wHYh8bisqbLKbxWUcmjMJxsXYrOVTvIzfjJhD0w7GQOA67JzH3hFX0KYwHOOFcBfprPWy5qBgw2xeiIIwHCHk/n1HlMATGyizNlV6zf55diPFuZOxy6z7+MfeJRtzUfGPDsE1MpOTGV1jkJNQclG89onIIp8kUGL+MOeD36HL+HeAOPTCRSEvJ7pLslrDB3NJHVfjJfs3Ekd7ZsZcrKUQszYhkqN5TkbNb+MvEODV8v5FY7GcLsQZuIYLWUmqtY37mkDRs2aIzXgw8+KFdeeaUEAoEZ77/nPe85a32zsrKysrKysrKyWlJo+7rXvU5e/vKXyzvf+c4Zr//Hf/yH/PCHP5Qf//jH821S/vEf/1E+/elPy+DgoMYsfOELX5DrrrtuVnD8pS99SY4cOaKFJl796lfLpz71KVsI7QISgG00llaXnlOkKbEowBTVA7OL4YCtVq02FyM3eLY2jMN0ZWeTgq3+1rCCwlru4up2MFrSV7JYHzk4pkBvRWdU5xKHaCNtuJ3MrONUf25GFu6bnrO2sjbVhc8oLlarwBjOUsAoUrC7Z0SeUyPuYbZ+kX1aa30VllGUzONAUGAobuGJVFY6moLy5udcpEf0gZzV2crkvk6ngMm4SkUh7id+9JR89OVX6HiAzSbhFai2aXmrOlzd8Jg97hTgwr/qxA3QDZxtQEfNcu2MykuvPLmGN1/WqwW5TDG8jcta1eHL+2ZuKRZGZAMRFEQt8IyCwvy0/Mt9h9RxO0r2a6Egfq9XIxmaQn4J+4nZaJErVwDUyUVOqcM5lSMSQaQlQs6wE48DqCaOA+H2pC88h/n4X6+6sjJnxD6MxNMKdVm/Q6PJCmQ0hbRMYgFtElGAAddXdLJqeTbz3NYUVDczXxQHWwhI0tgEn1dBNe0YdzCdqBWbMF+FiXkoFivjabSLC3kysRKnwGcrq6e5vvzlL0tzc7P84he/0C+3iJKx0NbKysrKysrKyuqChbYUHPvMZz5zyuvPe97z5C/+4i/m3YFvf/vbWuTsn/7pn+RZz3qWAtkXv/jFsnv3bunt7T3l+ltvvVX+7M/+TL761a/Kc57zHNmzZ4/83u/9nv5DvFa/zlcthevzfBKA7ehESvMucWpybHwxgCmqB2YXwwFbrVptvu2mdacd1TBb3IP7mSYrtR7crG4HZ+z/bB+SH28fUKDH/cNTaeltc8BvrT3odsgCxGgDzQZUF+KWBrKBP3kGMJnoAfP86n7x+0M/uDafL8oLN/Zqdi3O4er1xf1JsS5ep0jVwERK2qMB6W4JyqYVbXLXzmH9ApSyduZZmufbFNLMWuCqlwJQ+aLcuXNInrWuS8fnxBgUND6B4l0U4Lpzx1AltoE9SFSE2zkK2ASe0lZz2K+A9AWX91Xmi7Gh5a1hjZ+g7ziggcGVfN3JlKxojyiMBnq681L5vmNgWg6OxjV/l3gFsF9TwCvLWyM6H2OJjMZRfOOhwxoXQQEy/i8U8DsxFj6fM79eALdPktmCRiEkcwVpKnl1rsnjxYXN9UfGE3LP3pi6casBYzXUTLpyCEyMAetIDEA8na8U2WLOGRd/R5iiaI0A0taQV9vg7xUj4G2BTOBZIGujmbOsW1dzUIvePXpoQt3aSykLbK3OhJrm/a/Fs6eDBw+e7S5YWVlZWVlZWVlZLYrm/c/wTCZTMx4hl8tJKpWadwcArW9729s0KxcBb2+77TaFssDZat1///3y3Oc+V97whjfozxdddJG8/vWvV5h8IWkpXJ/nkzjSv6ozos494FBbZObxxoUCU/BJPTC7GA7YatVq0wBLA+ZxbJIfC1wDmDUC6auhJ20Z9+ZYPKNH5vePxOXIWEKdyrxXq81a7VBY7PEj4xIN+TVHFBiJ87YaLrs/WBieTmv2LQDw2P3OnP7WNasW7cMHgOn245MynsypuxJHJNDxK788oPuDZ7nFM2/fcTLPFgctEG33UPyU9XWvUVc0JJtXtGkkAjECjx2Z0PnEfXtoPCE/3HJCx7i2q0kuXd6iwJDxcJyfvYrIx3Xvq1S2qPEAuWJRDowm5KdPDcp4IltxkTcH/LKyI6K5rThziSIAEQaavPKiK/o0lmFgysmqNTm6OHoBlUBMwCljZd249vBYXPNoycEF6OK0vn//qExnTh7+Zw6TWTJxPQ7YLhIbUNQYB+IJAMxkD8czZMwWxVMiZ5cPUIra9oqOgI4Fgyp9AlICK8GaV67oUJc8xe+uWNGqc/vU8YmawLYaiLpdo6bWmiJPJ2p3Rq6sAnyvs4c1JiKb1zHNpfG0c435AAB2S9SD+5m1NB/HbCKTk6PjTmG680Uz5tvKqkoe79PnQ2MrKysrKysrq3NRF/3ZbQ1fe+h/v2xJ+2J1DkNbYgs4ekaEgVvA1muuuWZebWWzWXnsscfkwx/+cOU1Csy84AUvkAceeKDmPbhrv/GNb8jDDz+sfTlw4IBGMrzxjW+sC5n5MpqePum4PJe1FK7P80kX9zbrsWsD3QBu1ZoLCNaDsPXA7Gzu1YXCx9nadIN58mNxRQLZFgLp3W2Rc4nLciRGQS+gq0ffa6RNk1G7tiuqrlQcreGAXwuCVY/X/cwH949JJl+QvtawHsfHmQpInc+HD2aO9w7HFWAC6ll35oz8WnJmaffxIxOa4UlxL/ezFupwnhHlUH6ucR2Todoadj4woMjX4dGkdDQF9Lj/L/eNytWrOxTw4lhl/EBuwG9/e1hBOdAuW8D1W9L3GAP7GshrXOTk5V7aGtb+HhyJ65pREOzoeEqdmmS5mvZw0VL4DVBLG2TKmiJvzFtnNKg/xzI52XpsQi7vb5eXXNEn3S0h+dYjRypH9k8WsnKKntEeTloqxHNqwZ/OOxEEPo8UcAGX72A8FBC7tK9ZISnzRYEvIhUorEbfm0I+iY3mpa0pUJn/iWS+LrANAGS95OkSWyDl4mqO+9XQXMbE/BrxMnOJy5d1Al5z73ykcRFVhLIaHC9UFGZLuorCnQ+ysNZqNvH32Pmi3//935/1fUwBVlZWVlZWVlZWVhcktP3kJz+pUHXLli1yyy236Gt33XWXPPLII1qtdz4aHR2VQqEgfX0zixvx865du2reg8OW+2644QY9jovrlwrBf/7nf17zerJuP/7xj8v5pqVwfZ5PMQ6zwU6juYDgbG3Uem22I/sLdT7P1qYbLO4eNHm3C4P01ZASkAh8xc05W5u11k+P/UedzNIpkUpBqtme+fDBMT3iryp5Kq69+Xz4YOZ4NJ5WYLmqI6LOWKAcLlayWIHHgENcpcBG97MadTjXG7eI83xgNc9d1hqSoM+rYJjn5PIFBYorOppk+sSURgIwLvqDExk4Tl+ef1mvuqZ/uGVAYwY44g8I7dA59YgPPFoqyXQ6LyG/Ty7qjIjH69U9AARlzdZ1RSvF5IgF+N7jOQWXOGEpmMZ9iCJUjBFQv3llu2w9PiXD006sBfEBOLgB3nxtPTYp245PV+AcLtPmkF+dw0Bi42oHWDYFfDKecJ4ZCeIWLijA5XpAL7C5uzmsz40EfbKuJ6pjPD6RlJ1agK6k9+D25s9d0YBC5mrjKYDU5/Pqc1KlvMJaX1F0rrqjQVnZ0SStEb/8aMsJLVpmRDMhn0dBL65r+uw9DeroBrXzBbaNxiY0orDfI20Rv4wlcF0vUqNWVosgH5+SnCeamJg45STY9u3bZXJyUm6++eaz1i8rKysrKysrKyurJYe2RBPggqVwGMXHIpGIbN68Wf7f//t/cvHFF8tS6+c//7n8r//1v+SLX/yiZuDu27dP/viP/1g+8YlPaLXgauHiJTPX7bRdterUQkfnmhqBlhdKjEM98DtXO3MBwXptuKMJ/vHufae4OmtB58UojDYbWAQOYh1cKKSvB/mBm/fuG1EHJU5Ik4dq5puj/4BBohDM+tXae7XmROHusUm5d++IgkuO2gOvelpDCi5n69ds6wk8xIVqHKQ4aeHBZo91Nwf1Gdl8YcazkFlX1gvo6l5X9z5zxp2WaMhXGXf1fuLeNzxrtXzr4aOSzOalJdwk44mMgkl1lAZ9eh1Q8mWbl1f2GvnLv/fVh7V4FycHKHJFITCYR09LSNK5vExNZfRoP39++PCErOlq1nYo4AWMTqQLks3nNQ4Ah+4TR5K6RrhXDXDl/7WE/dKCE9jjkSv6WzV2IZXNS9DvUaD6xJEJ+f4Tx2Q4lpUrV7QrRB6L55x1agnJHz1/vewciMl9+0YVjh4bTymc3dTfJnuHYzKdKuh1JyZTGo/AOiczeRmcTivM3zUwJdOpvDx6eELhJZENAZ9iaef/iiUtkHbDhk753B17ZDyZ12fTf+YD0E2bOJqBvrhriWPA4f3661bL65+1Rr7z6FH50ZMnZsDRpqBXuqMhGU9mdb6Awe7ohGqxN/U5VdeYNounAVnpN+u7EFBM3/X5pZOvUXRtWVtYTkykbV6t1Tmjyody54H+67/+65TXisWivOMd75D169eflT5ZWVlZWVlZWVlZLUQLKi3xjGc8Q775zW/K6aq7u1t8Pp8MDQ3NeJ2fly2rDSkBs0QhvPWtb9Wfr7zySkkkEvL2t79dC6EBSdwKhUL6db5pIYWaztcYh/mCXwPfdg1My7EJJzcS4DUf0FnP1Vnv2XMVRuNnCi9xRJ1oh/e+8BItIDWbKBzFUXcclmT4csTcFM2aL6SvB/lpnyP3RSnJvXtHNQ/1yhVtlUJYHPMH5l7R31ZZv0b3Hs946MCYbMP16gWy+jVWAYBZHT3QyIcPBvDi9mSOcZoCegF8M1zELWF56w1dc0ZOcO81azoqkJ6xAyeBsQqxo4y7pzLuasBsIjn62iLaHgXDgGkm0/bKlW0yEsue0gf2AXmvqXxRSsWiguEVHRFZ3haR1z1zlfzbg4clGspWCnhxtJ8PBIZigFyPdDYFNYJgOEYEBPc2KZzEAcz+w8Xb0xJW3DgSSzsxBl6P5t7iRN5++5QMTWcUSBLF8MWf79cYB/rPHEaDWY0woC+vvHqlvPJqZ96IXhiOZSSWyssDB8Z0X/zapj4Zi2cllspKLFNQdzDO3+m9IwqluZ51Yhzk29KPUMDpD+u2vre5Mv+RgF++8eBhBcBk4zrxDiIZfn/L1JKfcf2Sf/uL3SMKqr/3xHGnMFsxp7/rtB0NUtgtp25iU6xsNjFHXFutlhCxC6VKpu18FPF7tVDcRDK7ILdtKODVqI2pVL7iQk7nS1LM53WezyWZ7F+rp6/OI6NtTfFvQz7Ap2juBz/4wbPdHSsrKysrKysrK6vFg7a4U1tbWyt/nk3mukYUDAY1B5d4hVe+8pUVNwQ//9Ef/VHNe5LJ5ClgFvCLOHJsdf7FOMwX/BowB9zhf0kWy26++YDOeq7O6mdXAPHgtMK3nuaQVpmvLowGqPuf7YPaFi5P9PHf2DRrH+7ZM6KFowDOB0bjWniNI+dOX+YXMVEPtBKR0Nbkl2MTKT2u/pPtAzI0lZZw0KfzDfSeSuYWtH4803GGerR4Fu0MTad1bpkz93oA6QDIzE21o7naHbu+u0k29RcUeq/vcWICgMymj7xWrwgbIB/3Ik7Nw2MJBZE8i/Yp3sXrjrOypAW13OPmOtyp337kqBbi+vYjOe03++v69V1ybEJkQ0+zvPuWU08UuPtA0S/2CvtpLJHV563vaZZXXNWv/WYe2GcOoHTA35HxpLp56QvO2qtWtUtvS1h2DcbkGAXe8k5EBPCS1/vawrLjxJRmxfIVjGW0gBpj+Ief7dPogN7WsK6HiXHAEc16OaAwpw5bgK3ZO/R9YDot2XxK+wI43HZ8SoEiMQW7h2I6VsaTyOI2T86IFdAcWilJNp3XPYED9cmjk/qBBnv98HhSPxzg/oOjCf37GhDo/lubP+PO9Qc86ubl9xzncFIBbUnBprdIAbacwltcue77ve52yn9WB3AdqDqdKUqbFn7Li6tOW0OisBxjAwYv5L88/LeOcbDmxml7rjprLbC14u+z81379++vWUjXysrKysrKysrK6ryGth0dHTIwMCC9vb3S3t6u/2O8WvwPcF4no3Y+wvnw5je/Wa699lotLPa5z31OnbNvectb9P03velNsmLFCs2mRS9/+cvlM5/5jFx99dWVeATct7xu4K3V+RXjMF/w64a8gBtA2nxdyfVcndXPNoCYo6GJTEE6o06WZ3VhNKCuk73qFEYCHhqIVy/rtwKO/Q44BsrVAsenkyHMNccn0grg/B4Hcg3G0tLXGtH57mgK6VF4MnDrFV+rVRhsxjM9DtEhaxW3JzmmxjGN5nI0V7tjAfDVUBaQzbxQkIu1+vxdeyvjd99/bDKlII01IIeWn818tTfhsHWALpmwHO9nTABMB7QPar9PTKU1AoPnsS5+n1eP/fe2RuruTXcfaJ+90hLyqSOUvNdf2+QA4Xd+4zHt2yV9ThwCRch4xp27hituU6ICKCT3ludeJB/7wVPy1IkpCfp9mh0bTxckEvQrFA0H/dIRdfYu8wPkZl2evb5LP0Bg3jyuGAfGyd/TpsDcL/eOivx4p4J95rK/LazrTH8k6FegiGOYfQNMxJFaLTdk1LgDipjphykOJQX6vuffn9DfU/owPJ3R/U4/WY+BybQWU9P7y+1liyJR4G+hKAdH45LK5NWBylX0jd9FD05en1f8hZKUKoXSHPH8SMAn+WJR4bK+xt6vg1bDAY9kCt7GLLtlga9ON3MWSMwYLQ+1Oh/E383ni9yRWIi/9/g37G233ab/3rSysrKysrKysrK6oKDtz372M+ns7NQ/33333Yvagde+9rUyMjIiH/vYx2RwcFCjF37yk59UipMdOXJkhrP2Ix/5iIIIvh8/flx6enoU2P71X//1ovbL6szEOACWgFhwnkajARbD3WueAayb6s9VXJ3VzzZgFael7B9T2FfL1cvrgDrGA/uZSufmjHyogOO8A46Zh7nGM98oCfr51XsPKjAk/xQz+rKWsLz0ymUKJZe3hRW2ke9a71mzAddbNvaqWxf4RC4vYBF3p8n9BdbVcjQz7253LK7pRrKJyTf9+oOHNc8WkAmwBLIaiM/x+XS2oKDyoq5mBXgm+mBrkxOTMpX0KLD98Es3VsZoio8dGInpMf94oaAxCEwYfWdtZ3Nzuz9IoE8Dkyl1xZqojDt3DMmXfrFfowYACLhrf23T8koffrZ7RJqDPglFgxpLAEQnjxhAS6bsZDIvva1BbZuiZzdf1qtAmigD5o7fn1/sHpa9QzG5fn2n/h4dHEvOiHGg3bt3D8nwVFadkwGvRx2wV6xokzt3DEp/W0Rh8fGJlBRKef17FtjJX7+4X2eTibCg3z6vVyMD6CtAFnDLs5lj1g3nLm5orsUxPDyd1jnRR5QceDtNpu9YUmE5vxO85acfPMtLETKv/pk1Yo31foqYlfcYTmlz8IJvs8UfAKOjQZ9GMtS7ij7xXyHz/mKBVgtsrc4XzdOIflb1xBNPzPiZf0Pyb8W/+7u/k9///d8/a/2ysrKysrKysrKyWhJo+6u/+qs1/7xYIgqhXhwChcfc8vv98pd/+Zf6ZXX+C2B1+w4nXxU400g0wGK4exuFzQasEi9Almq1C9RoU3+rHB1PqrvP7/WqwxLYCfADxprIhFrjAG7iDnU7WRcrSoJx/u71a2aAzhdc3lcZA+C0HgRuJELiZZv79X1ee+TQuOwkZ3g8Wcn9JVO2lqMZ12fFHVsu7AXgnQta/2zXsIxMZ6Q57JMjown58j375dnru9Uhao7/U4Qrl3fyXjuiwRl7pLq4WvV84tAEUKeNjbJcMMusSz2Xs/uDhEy+oBnFCn1d/R6PA0tLCrQLqbz85KlBGYllFMA+e12XPHhgTFpCfnVDM487XTB7S2pS546CZeTWmvHcvWtYC8mNJjIatTEUS+t8vvXGdfLXr9o8Y+74QOGhg2NyPJdWRyzthTN5dfaOxDM6ZgDtVCqr65ArFCSbKxcL4yRFDcgIyASa8oEAwJfCbduPT8t/PXFcCsWi+LwBLcRGv3iemVamhv1B1i5xDawLMQi0z5yyV+kve8I8l3u9HqcfuJ+hsoBc5hlACwjmvZDfq5EQjAUwDZSdDcYy7s39bdIWyejvcC1DIXu/LeKXyURWncBWVk839TTPntF+LmmxzQVWVlZWVlZWVlZW5zS03bp1a8MNbt48ExRYWS12IbOlLtLmjiDgyPiLLu+VE5PpWQHxZctbZf+oMxaAFwCKPFJTuAw37+mMY0bxtcnUvIqv/fpV/ZV4geoxVM8/ANk4YMfiGXWYzhYh4R7D392+WxLZfAVUA6HrOZr5GeelcceSV0rMhbt/jPm/t5xQ4GlcvVxLHAPFu4BtOCqPTiRlYCqlxbfIgyUrtDUS1AJPxA/Qly/fc0DB6ttuWjfjQwF14B6bVOALSO5uDjrQt+DkeJbKX89e36mFzMjF5Vi/ce2aIlvMDW5TgCzRAxQAAx66YT1wM5MtOm3i8MwWNMu4sFPUGXvd2k758dYB2TEwJftGipLO5qW1KahzRJYyTlj6d9vWAc3qBfb+3WufoWP78bYTFWcprudav0caSRAJKFDGWUpxM4An606UBHO3ayBWiRoAaIb9DqyPZxwIymvuFAFAaTTolc5oSAHsSzYt1w8t7tkzLOPJnM4H9+NET1bRTmAqbmKiIlZ3NUksldN4DVyzQGWuBhiHfV6FuIyvsylAV7WIlw+a7hHNaiYGgfUqFEoylsjpWrD/NCJC6kNbXqePO4di+oHMn7zgEvnqfQc1LzhbOAmmcSwfGInPC9gyV+ylWrESVlbnm77w+mfI+SZOce3evVv/fOmll6rb1srKysrKysrKyuqCg7ZEFnBU1uTWzqb5ZtpaPb21GFEHi63qCAJgTq3iU25VOzmBq0QSAKwAesDKxeiTFl8rlfS4eqPF12aDw9Xzj/vxtm0xHTv9xz15+fIWBa7NIb/jkHVBQ4CwgaBEAQArDbjGnVrv2YBh4gh4LvC5loOZMeMQxlkLqMVBenl/q0Lh0VhGgeHly1v1KD7uWH7O5p3c02VtYS3ENZnMVZzcwFmKgJkMV+aOL147NJqUtqaAgl8AI2BSj/F7Pfr6roG4ulQBsuTiIgNG6SeF0sy4iSIA2K7oIE84qZnAr7hquWw5OiFxju0rCCxKKOAUgwNAAisByl+594AMx7Li95ULvDUFFWhTCKyjKaiFvcYSmUpeL/trRXtYIfYo0QtS0kJlZP/Wyj/e0NsiOwZiuo5Azyv6W6U1HNC2Do/GZ2TD0k9gvdcLRMVx7IDdZJHYAyeuAPfrZKogoUBW55EYCOIqNq/qUAcv6wtoxzHLWlQXHaOPRHMwBlzb249PyfYTU9Ic9EssQ5xCUaMuogGvREJ+nQOKmPk9JRlOZjTfNux3ohLcAuCOJ3IzCqXVE9cyfw8fHJdnrGrXfjP3Pk9JIz/8fo86d+cb6alg3gJbqwtEP3hyUJ659vyAntRFePe73y1f//rX9UM8RM0DaiR84QtfkKams//vDCsrKysrKysrK6tFg7YHDx6ckRX2gQ98QP70T/9Unv3sZ+trDzzwgGaF/e3f/m1DD7WyWsyog3PV/et23uIuXaw+zVZ8DQh229YTctdOx51aDVbnmv+9LgcsYyd31ABrQOtXfglUTEs6W5THjkxoXim5rLQ/n7Vs5FrGjMOyNeKvOEgnEo5bF7CG+3M8kdV4gBxOTAohqgPZOfrPvJus1ZUdEfnxtgEFixQGcztlgbhXrGjVMTNGYDVZqoDJ5W0h2byyXQ6OJdS5CYLD2RlL5+SunUMaYcAzKa5l5qwp5NM5BNgCPYHZgGYHejoY0eMhdsKnx/x53mg8I+/79pOydyiu8Qg4fXnW0bGkAsTVnU3y4MExSeK+DQec+cgXKrnEdBZgixs1kcnJ7U8NqYuVuYmG/BVgPTiVVtiKixQQCyz98Esv12zb/9+PnjoluRJjM31vCvrVlQu0DpRhLV8GSRJLwXwT1/DiTcv0gwD2BHEO3dGAfP/J4zX3AZ8BApDZt8vbIvKKq/rlN57Rr/v3yHhS4w3Ih+Y94C3gHIDKPJiohcwsBcQa5ayMg6Jof/vT3TKVzCnINUXKVnc1y9GJlM7bUtRiMh+DWrxrdS7rvn2jcj4VIvvFL34hP/rRj+S5z32uvnbvvffKe97zHnn/+98vX/rSl852F62srKysrKysrKwWD9quWbOm8ufXvOY18vnPf15e+tKXzohEWLVqlXz0ox+VV77ylY092cpqgREBwDxgE4AKV191vujZdv/ST6DS0HRKkpmCPPOiDrnpkp4z0ifm52v3H9KMUuPGRDgya2WxVs8/0BK3bPVzGBPuWiAg0DJHwa9CUe7dO6rPnC3v1dxf/f5c6851ZPAapy0RAQDrtd1RuXFDt0JMXLHk0E6WM3FxpbaG/XL9ui51tZ6YTKlz8+EDY3psvinoVccnMjDePbdARIpjecWjxcRimYICT2IF4HW0nUjnpVAoVjJkKbzFZnzs8LgCXNb6iuWtWgjMFCL7+gOHNReWiARgLTC0uyUkl/a1yOBUqgxUU5LNOS5WE4dLRjKgFQc0gBpnqTpXPV7paQ0psCU+guJrndGg/k4w7sPjCQXwgNyupqDsHorpmuFK5X4AKED057tHJJbe5uTkXt4n//HoscqzUXPIiT7oiAZkKpnXnFsALTEYhpVq5mwJZ3JR9gzH5fn5ojz/0m755Z5RfePAaMKJmqixxoBXsm89paJC7i/+fL8CduJFeEZXNCSxdF4mktMaS0Fch9aHK9+vxcEWiXYCsd3AFk2kChI7MSXLWkPi8wRkLJ5rGAQ3Ij5UaA4H9BTLdDq/iC1bWS2uyAg/X/Td735XvvOd78jznve8ymv8mzUSichv//ZvW2hrZWVlZWVlZWV1YUFbt7Zt2yZr16495XVe27Fjx2L1y+osqBZYOx0QutjtuWMLqHYPYQPgVRfQOtvuX/p560NHKuB024lpdTIupH9mDslGBRzVKlbmnmdiGdK4U11uTD2yPp2uFCLDhfrqa1fVXB+AIwAR4AdwNLCZ6wDAgLlkGSwqXJSSzlN1pARyj9cd73DnziEFwKagFnuiOkcYeEq7V/a3ylhrVmMKyLQF0P14+4D8ePukOjQ39bfJ+p5m57i/1ysFf1GuWdMply5r0efhYAXS4pyldhXPxy06lfRUgDR9YE5wiWoBsYJznN/v9yoEplhYJuc4OzmeT/QCQFFzV0uizmNANk5aim6RC/v2m9bJR19+hRPx8MBhzQcmb5W2HXDrkRVtEXUxv/Mbj8lYPKtuXfJaNba3PL8UUqOA2Vi8qPc5z/DpuJ9/Wa/OE+tCu/EM8QMlnU9cv7sHYzIcy8jQdFrzZIGS5PsCW5O5gkTKABf36vbjk7K+p0VaQj6ZSp902xJdAUQlNoB9d9u2AY158IpfptJ5p5/a55JC4OawX37y1JDuNYA57Q/FMhL2+9QdbdyxbsFI2VED02l9HvCa+U9kCwpycR07sP3kvBiuupgAFUDuBrYnX3dAOHESmg5UWlxoy7yw/62szmVp8b/zRMlkUvr6+k55vbe3V9+zsrKysrKysrKyumCh7caNG+VTn/qUfOUrX5Fg0MnpzGaz+hrvWZ2/mgu8ne323BEBuwed9uYTYbCY7t/ZgLQe6y8UTznGfrpziPP1mjUdNbNfzTXkvuK6xFVZKlFEyiNPHpvQe8k6xbUKnATa1lofhIO0pyWk3w1sZkwc0U+kc3J4PKnwMBr0K7gEfs4VKWHez5D5Op3ROeHZQESO3wNx6fvqrqhCXejs2p5m7ffLNi+vjJl5/+GWEzKs2bMejSfQQladTTrnZJC+6Iq+yvPIjcUdGwn6JJYuiNfjQM3nbuiqgG9+xolM/CjZsUfGEur0BFprzMFkShI5EN0QAAEAAElEQVSZos5p0J+XppBfwS+cLZnLK8gGiAJVeQ7wrxpkT6fy0h4NSDybV/hBUbEbLu5WZ/Pe4ZhCYIAvTJD4AQpupQslJ1+3DAkB9sBMsnIpQEb733rkqII/9sXOwemKg5dnABh7W0MKjOkfXwaaEvMIfGf9AM6ME6cn69pEPyjwlQMUe3VcQOV9w4PqPsYp3NIakOaIX9ojQW0XMOzxerTfe4emFdQCl4HsuJLTZftudRQAoBfQTPQCzwfuIp7NvRrjwHU+9k5B18gtw1DVcXuaPDUzCzfNF0R620MK1oemyQ5eHFHYzFcHFltZnUvivwnni4ju+su//EvNtA2Hw/paKpWSj3/845VYLysrKysrKysrK6sLEtr+0z/9k7z85S+XlStXaiwC2rp1q/6PffLDrM5fLSTL9Uy25z7GDpyDLJ2tAmazAWk91u/zVpy2HGNfaP8amUP3NTgb+9sjCuNwOgIQRxNFhWDksDrZp/Xb5r1azzNzT54scA1HJUf0DfxkPmaLbzD3Hx6La9SBKcBF9ioOyxPl/FciBMwz+1rDCl3dYwawAvg6mgIKL4+NJ7R42CV9LQrwcJ/esrFPPv2T3fLgAadwGHPSFQ1qW36PR+MPcKb+4937FMzS/+rM4Hy+qIDwxFTKmTCPk3FLPiyAuL81rNcRO0B0gZOzWtA8WkAkhcDcbd67b0QdrhuXtaormMgMQDF7qCXsl2MTKe0rbaJI0C894YAC0+agV+KZkoJf7qHP33/imHzx7n0ynszpWHAWX97fLn0tIS3MRqG6Z6/rkqFYVvufzqXUNYzIZo0G/QqKQabMOxCXbF394MGDAxQ3sFfWdkW18NdDB8b0Z55PxMLFvS0VpzRr/+V7DsjR8aT8Ys+ork/QK5LxMI9OAS+/FzB76v7mWkTCBP3DgZzMOhEQbjctsB4XrlumGJp52VMngmExFC/n6LK+i/0MPgywsjrXxd9754s+97nPyUte8hL9d+pVV12lr23ZskVCoZDcfvvtZ7t7VlZWVlZWVlZWVksHba+77jo5cOCAfPOb35Rdu3bpa6997WvlDW94g0Sjp1dsyers6nSzXJe6PXdswU0Xd6sTb2AqfVYKmFUDz/0jCXVNmuP9r752pXzv8eOaacsR/1qZto3ERzQyh9XXkPdLcS1ErEB/W0EePjSucIi+ETNQr22cr0RP4GQGPDPPyMwv4wRSumMaGilCZn7+6fZBOTqRVAcnz8ShOTyVVvBIdunOEzG9DqfnPXtHpa81JM+/dObcAS2Ji+DoPJmzPp9XHZC0B1TEHbzl+KTOL+2yTsvbm7QtXLOjsYw8cWRSVnVGNL8XMWeMe+cJJ17i0t4WdamSqcoaggPpU0vIr/DQuH8/8l/b5AdPHleYB3vzlkoaFcA8uueXiAZycW+4uKdS4O34ZFohJc/weeMKTnFGc+9IPCvP3dCt67i3LSLHJ5NyYjKt67dxeYt87s69Gv0QwiFMBMFUStcEUN3W5JdsHhgb1tgHsm4B5MQsTKRyCvTpLw5kQCpOW6eMmQNAgTP0hXkAIuNqBqJ6PCWJ4MQN+WXj8tbKhxTsX/rNuA2EpV1fyZkTnMOsSw5bqQu4wqf5HeY7P/vK80vG7WQqXyGwxk3L5zR+8SjY1/a9ouPHYe383ng0xqAWAwXuGpevuVedxwXnz40UGBuN53RtFlu1YPZCtcjpDVZWFQW0iOL5oSuvvFL27t0749+pr3/96+V3fud3NNfWysrKysrKysrK6oKFtgg4+/a3v33xe2N1VnW6Wa6L2R7A7batJ7SKPLr5sl759av65xWvsNiZum5VA09A5m3bYhXnLfmzfa0R/Xk0kauZadtIfEQjc+i+BpB3ZDypxbeOjSfVXXpFf5vGDqxsj1TckdX3UdAKIIXzlaPy9AlKaYo8zRUZ0ej7xplpxnPb1gGdQ4CyAU5hP2AOoFdS92l1oSkKeyFyd3E/Lm+LnOIWJid0WatzLBbYekV/q77O2AB7Qc2V9eo4zfi5cDqTk8lEzsn/HfJKSxlOc9+K9pPZroyD/UWRMqChkYkzuGfPqHzmtc+ozC/AFmBcDd8BxTiy/V6PpIoFKeacNoCl7Alc08Bp1m95W5Puq7t3j1bgpOM2hXp6tP1MviDHJnKSyZdkLAFsFVnREXHiErxkw/oUdNL+phVt2q8fPHnCmScR6W4Oys2X9sq6nmYtcMYc9zQH1ZVLvEQsk9dj0jiJzYcUw9NpdQrjNDZiRoDbZASzrwzMNTJRBk0hrwJm4DoeVuaZBVegCtAVka7mgBbrGpxMS6bggGDE2HCQA4RxK/O8VPZkEbdq0RfmvsXvkVUdTTIYy0jI55ErVrTLz3cPa1v1RD8Yx2IVPVsqzbd7jGvxMbTVhagw9vnzRMR1kWn7tre9bcbrX/3qV2VkZEQ+9KEPnbW+WVlZWVlZWVlZWS05tP23f/s3+b//9/+q4/aBBx6QNWvWyGc/+1lZt26d/MZv/MZCmrQ6B9RIlutCtBDOAdj72v2HKhEDFFsCzsynf4udqTsbTAVuAZwMPFTY1RJqONag3jWNrIn7ms/ftVeBLc5OCnORIcv/1H7zs9cocOKZzIsB2OY+ABxzdXg8Ibl8SS5f3qLuTJzM9QSo/vRPdskjhyakKeST1z1zlbzy6pWzgvHq8QDCnjgyIek8Wa8elxPSo5CNIlimDwbCM7fo2jUdGjWAY3X/SFyzaHP5os47kHKsvHe6moMKsykoRm4uTlMiHrge0Hjjhm45MZXWonbJTF6hba5c2AuY/NvXrtb12dDTrIXDjJizwam0QsLKEX0cq0XRaAriC+gf47hyRZtsXtmmblkD3xnPV+89WC725WTppvNFjZ6YSmY169Yp8uVEB7zsymXqMGafEVtAhi3RBkBYIDQ5vMydgadNgYBGJRwaTWgWMe/hvOYXkj68fHO/PHRgXOcaJy3PYU23n5iWPcMJiYZ8mrNL+xREo+/L28PyxuudvWQKyz15ZFxiqfwpuaw6L0WiOU4F7+b9eMYpaofYp8wXXcQdPJHIauwOc9PeFNKMXMZiiqkhisUB3+NpCsHVB5BcH0vlNHaC68n9RRQ7I6eXD2FwXdfLli3O8y8yM6aQz4HP1W5ag7/ONjA928+3On/0yMFxOV/Ev09vvfXWU16/4oor5HWve52FtlZWVlZWVlZWVhcutP3Sl74kH/vYx+RP/uRP5JOf/KQUCg4g6Ojo0BwxC22tFgOaLkYxr3pQdDEcuNXwEYAH9DFOSo7wU8hrPrEGi5HLS5s/SObUoQp0RRyJ33psSo6Mp2Q6ndX3Hzs8IR9+6cYZxdOYK47GPzQ1Lo8eHtej+CYewYi5++8tJ9SFSd+HplNlVCnyxZ/vl6agf15g/GWb+9XpSX+0iFepKCGKX3mJNAhLW1NAgSswGgiLmxQQeXQ8Jas6IgoTccACZKF2QEkg7lUr2vU64Fl7U0DHPpnKaoEsIGRr2KfH/KGJwD6zFjh3ER8QFAoOgK21Po4TfEAjHXCJGhHVEAx4JVcsyo+2OgXTcLe2hANy48XdM+acPUikQKBc6Au4206eLlCy5NF5AC7TfxNHwD7bMTCtoJX+NwV8ur+JnAB4Akdx3rZHg+puBYqWShRRc+IH+CJeAKcp+55CZh1NXFuU0VhWx7lrcFrzgq/o73FgbrGkz8ddS/vM766Bae03Y59I5tQlWy2ujWeAqR5pi/hlOp3T2AXWxF3zy9xpwKYWIFMHrU+dvzde3KPu5ocPjqujl8uKLAxj9Th/NzAfy1oj+iw+sKjuDT+TzpBL4xgWuX+/k9FL1jHAnnlUeD1LRTB+nXib36rqgmjV6ooGFJ4D4auBNeO3sNTqfJP+HXueaHBwUJYvX37K6z09PTIwMHBW+mRlZWVlZWVlZWV1RqDtF77wBfnnf/5neeUrXyn/+3//78rr1157rXzgAx9YUCesLkydTiGyxSjmRRvASopAmUxRA2xrweTTgblk1gIecYECbN/xvPUKmRqNNVisXF7aoB/37RtVOBdP5yUTLVR+1jzTnPMzY3UXT2Mu+B/mQCacm+54BCPu+fqDh2VkOqMwlTabgl4FUUCqRta4ep6JLuD4PRANF+WzLuqUy5a3VuIegIS4S7cfn9I1JL+W/gFWKQxGcTT6DbwDeLKuy9rC8tevulKf9b5vPym7BqcUQFIkjGgBXLXXr+2SBw+OyXcfPy6/9Ssr5IUbe8VTKsmOgSkJB/2aJwv8pa3q9aH/jtPVwW9MF3AWuEm27O6BmAxOp3U82q9iSe7bNzZjzhk/sQdEIPD7saYzKi+6ok/7E/KnlO6xVlNJT2Xvm/U9NJrUfdbRFJLRWFrbB/oCkdf2NKsb9j8ePaprQqQBEJm1zJdKEvZ45OaNvbq3TT4wcBgBfIG/mVxc4yWIZiB+gnXAwY3rGbCP850GGT+O2eoiYUa87BPHDRwN+vV6zYV1UUt3Zi25mQDkZK6grlhgN8CWOaOfuH8DeY/wUQFA1InR8GhxtNamgI61MxqQsUSuZn9ML8n6xdFL8bVpvlJZ3R+zSZ28M7teV0Si1MuXbcSw2xbySDJff16trM60vOWTEOeDVq1aJffdd5+sXbt2xuu81t/ff9b6ZWVlZWV17uuiP7vtbHfBysrK6vSg7cGDB+Xqq68+5XWq8iYSifk2Z3UB63ScpMAp4M4dO4b0CHpfq1NUCQiHGoGrJwFXvJIpau4D7JHxCrTDbcizHj88IQ8eHFdn49Ym5/j0bK5RN3x0XKBpPZqPwxZgO59Yg8USbeLmpF+MC2CrcPLAmBwYTUiUTNOAT8EiUNQdOUBeKsfyL+5r1nsAc9XxCOqAzhekNeKXVC6vBaMAg/zPeZyRuDHrzZFZK7KKib4A4AHmN69sl+7msK5JIlPQI+vmetbFxE4QbTCVzKn7llgAZz84ecJHJpKaeYoTs7MpIDds6FJX6k+2D8rW41NahAtgGQ36pbMpKFPJvK49jt0VbWH52gOHdT+88Io+ecHlfTpucm4BiOTT7hyY1ueRq8wc0z9AJF/pMgCkuNgbrlute+6Xe0edY/yu6AQKhLmhtvn9AFYzd4gPGXB9mhzYYtH5vQFYMh7mD5h8xYpW14chBc0aSOWLGofBfDCGbcentJ/ECtB3aCFQlPxXA+NNPvB/bx2QYgHQSbaw45wemAIce2Q4npEnjk4qVOUDlP62iILbUhlyjieyko1n6+5J3K/jyZy6Ztl3B0cTOq+V98uFwniFHGPc2tGgV3paw7q+FK+7bm2nziuOZJy/PJnu0N7y1rD0tYXl0r4WBc44kb2ehMTTOUnVsMTqKx7RKI2RbLbh1ANXZG9DOh3cOpWxsNbq3FJb+dTL+SCybDkNlsvl5Oabb9bX7rrrLvngBz8o73//+89296ysrKysrKysrKyWDtriXHjyySc1x9atn/zkJ7Jx48b5Nve01lIWyjoXdDpOUubht65ZpUDLuGLv2Dms7krUSOwCbTiAq22G29fAMgPtOGYPRByaTuvzJstcbS7XqNuxu+3YFGmmCpcBbkC2M7FvVpSPrHPE272HzHzQP+ArMQJXhvyatQro4mfWxD0GANmly1oUOnNPLdCuDmi/T522fI8GOHpf0qP6fW0h7cupMDuljlizVhQ7OzyeUlAHSwR2rup0coFxeh4YiWvhNmBtX2tInZ6sHa7STf1t2v+p/pw6bNf3RPU+BZ+MIZ1Xl+WPtpyQSDAgxyYSmmWKS7JUcJyVQMvnbuiWg2MJXXsyb7cdA8oWpLBD1HHLuAG+2487hcY84q3kKjPHjIv9QvEqLaoFEPV51HFNf4DjtGfIHXmzuFX5Yn5YI/P7AJSkAZy5DxwYc64n3qIMhZmHw+NJ2T0U173Fs5867hSaYx2vu6hTfvLUgMSyecHzPJ7Myh/d+rjOO+ASSE875NNet7Zbs4OPTqQqhcSuWdOh8/h/bt+tax4OeGRtV5PCUz6EYJw4m4G/8WxeDo3FZU1Xs84TciIrcjOiBfgtZc5RyO/EKBBFQLZv9e8G1wF2PSXRSA+yf3HGj0xnhReJfvjgd7YqfAfqqrtWRCJ+r8474+1pDsmTRyd13mLpnO43oidS+dqOWwixL+DRvat9mAOyRoiCKBdXWyzN9Uwrq3NJ/F1yvuhP//RPZWxsTN75zndKNut8oBQOhzXL9sMf/vDZ7p6VlZWVlZWVlZXV0kHb973vffKud71L0um0/g/ohx9+WP793/9dq/V+5StfmW9zT2stZaGsc0GL4SStFbEA6GgkdgE4Vg243PAYJyrQ7vr1XXLXziHNQwVwVR9Jb6RvW49Nan4p7j1coEDFM7Fv7twxqNSL4/7Ve6gamgPDPvaDp9TpCNTCvfgfjx6bMZeAUCBePdDOz7g27941rOtAPALAdH1Ps96PQ9XdPxNpcEV/W2WtgIDMcdHnUQhGEbGA36eAkOunUzl17wLdyKLtbQlrETDTH/aVGwxzPQ5c2iL+AbC6cyAma3uiclFXs7pvEbASQEhkBPCUaADc0UfGEwoHmQOgIWPDoHl4LK4O0ZaQX53FQFiA42OHdzpOWvJKAZTlrFjgKrCZdjnWr/m4eQp8lSSTL0kinZdHDo1rXMNLNi3TsbBWjIGCWuxTADHH9BWA+kUy+aI6Wc363LVzWPdXSySgEBmI2xr2aywCqQNNIa+CW4q7KUDPE0dQ0rE3hwM6PuNOvm1bTNcId2+ComuFkrp7WV8TfbFrgPeceAdc1IBXYhxevMlxwt++Y1hWdjbpGhaKDqTGMUtkBkDeiUNwipxBKTubQw7hdkkhrBZU8+jv6FUr23WP0j5rncoWdF8oBC+LOV/eHpLxRF77/ng6L5NpoLXzrI6mgAJcc6C7Go7SUiqHq9gFjssw2KwpmcLhoFf3XyydlRNT9d3EC5EFtlbnk+bKcT6XxIdAf/M3fyMf/ehHZefOnRKJROTiiy/WE2FWVlZWVlZWVlZWFzS0fetb36r/AP7IRz4iyWRS3vCGN2hG2N///d9rVV6rM5P5+nSPWJgrdgGo96kf75R79o7ozzgBN61oq+1EnUjpMf2uaEgdiVMi8twNXXM6g919A5T1toQ0/xToBfw8E/tm96ADak3Uw60PHdZj5OSrAj5xpZIJyliYj12DMXVN8v1LP9+vIBfwSzvMAYXHuNYAUb67HeB8f/W1q/QL4dZkDt1r4e6fiTRwv48bmZ99Xq/4vEXxA8dc1+PcBKaxFkA/AN6rr1k5ox9uMAxUXNkR0UJj3ENhLT5QIgJheZtH4y5wBgPiAMzo8HhCoSRFzELqPE1qP+gjANb0BwhNTirEkVxlPgS4c+eQgkRjusQdDCimfVyz63ubtT8TSQr3FIXbPZ6S5rTidAbi0ndkXLtASb7r0f9SScGnQku/r1IMDZfwaCwj6XxBXc7EGABXcfYaB2gsU9D+4ybmQwhe5nkMm6J+6axTtIvIEbKB2Tc/3j4gR8eTmtfKxKfzJRnW5xBNkVe66ClD6bXdzbKut/mUffjY4XEHQpZEUvmCREMBp/CYxkM4cBQQveXoZKXgmFu8RJTB0bGUfOPBw7pmjJ9+aUwEDlsn4UEF9x2azkiC6mIile8G6wLy+SBgLs5k3nfH2bJD2GYd0YD+Lh8dT6hTmNdtATGrp6vIjT7f1NzcLM985jPPdjesrKysrKysrKyszgy0zefzcuutt8qLX/xi+Z3f+R2FtvF4XHp7nWOyVmcu8/XpotkiFmaLXQDqUWwLNyTuWSAQx/Dd8RPutoGVgCAgndvR2WjfnMzctBZKYi05br5U8RdEIhjQCpgFxpmoB55/YHRQv+MobQ77xefxKMg1wHZFR5MWmAL2cVy9co69XHhsPg7wWuvD/WZfm0gD5t68D4wDzI4nMlIo+jQ7FvBqrmeuGAvANl92iRrI6S7iZYAhLk+/R2R1R5MMTKc185b1IHeV55LF+Iu9wzKRyKn7ElgM9GQteN9kAJsxGAcpgJfYBr/Ho3D3+Zf1yp07htT9qvmr5SPuuHsBoUBfhb8USvN71V38xJFJKZWcYl3FHC5akVUdTdp3nsdzmQv6y7F+CqnhykWA2GhQ5HmX9ciK9iYFtINTKc1tjaVS4vN5pac5KKPxrBCJ6/U4hdyaQ351xR6fSGl7PJt+7huOyZHxpO5NrvN6vZpbi0PcFNjCbYr4RrYwwp3L+ACY5ORSNA4nM/uQdaPQn4lGcKIkPApsmScAMh9oMJeMDxjMeuIWriX6MJXO6zPokylQZkAv7RnAakBtLfFWsZx/PV+ZuRycysyAtEGv0261mvweBc7nkRHRymrealvCDyKtrKysrKysrKysrBYB2vr9fvnDP/xDPW6Gmpqa9MvqzGe+VmshgPBczNSt1adawHCu2AXux2UKSKkXd3C68Q3u+02/q+HlUsRf6OnyMmgF2F61sk0OjiVlZUdY3aXkpwLlMvmCukTJIuU4P+5PYBnAlu/klv5s17AeOydGAJgGtG40fqJ6Dmbb1+599bLN/Xok/759Y1qcC6DX1xLUHFOg8u88a7XsGoirSxpYuK47qlEFZMyattwfeAAimZTVXVF1ZPa3hvX4vrn283ftlWes6tDrHGdySYbLBdZedHnfKWNgLekT/ed9d/+ZLz4EiOhC5KWvNSCd0ZA6b3E397dHKvNG37uiARmcdiIPPOVlM9m9gFog8kQiq65XCnzhxM0WsgonWQ+/1yvXrulUZzPjuKgbF29R4zgAwMQk8BwAL20DbH99c79cubJV/vHufeq85XXHrUrcQl4hN45ZQPRYIqtZt/SDhTcgWrOj1aXL709RX+R19sqBkYS0R7JySR9thLXQH2052cU+nTvml+ubAl4dNHPjIw4jXdSs3Gxq9vgQA2l1zlyvzydSdr7HuZlzx5ksUiiDebfqMeJMoSTLWsMykcyqO9nK6kIUMSxWVlZWVlZWVlZWVmdW8/5X+HXXXSdPPPHEKYXIrM5O5qvRQgDhuZipu1h9AuptxaaIc6/BuIPFgMxvfPYazTX98j0HZNfAtBanWuz4C4qOkWFrXKZEPwAAt5ejCAB46VxOwRdwMOsp6pF74iG4D2hI7urG5S1y60NH1LnJsXWO/wMp0ek4wGfb12a+dg1OS6GEE9NxZZIfWvJ4dN3v3TcuL7tymTxrXad85ZcHZMfAtEjJoxmu3EvbZi3JmD08mpBk3nHlAm4v7WuZ8XwDeAGOxFYA2ADay8tF4xSGuuDybP2/ZWOvwl9cwk0hnzQFfOogpd2R6bTGDgxPpzWblbiJzas6JDgwrTm+ZPYCladTeVnb06TObPpEe0BVnK2ekuPGBcyXSh6Jhv0K0t3joH+XLmuTQhEwX5RnrGrXTFucsL+ypl02rWiVe/aMKpgH6puYAikDUNyx9PMPblirDmxnfk+OkYiJ3uaQxjFwAy5ak4tLO6zhcL6o77sL/d27d0TjDMZTWQeYajSCaCYwGb47B6fl0GhqhiN1rsgBroUZL2Zhr3rXGSA8H+6qbZVhOL9rVlYXqsjptrKysrKysrKysrI6x6Et1Xjf//73y7Fjx+Saa66RaDQ64/3NmzcvZv+sljAf91zM1F2sPs3l9lwqyAwEG5zO6M9ARogOTsj5ws/ZXNAKpI9NKiQjj5fj6xzF555I0KvuVXU6eilM5Revx3FhXrZsJswEVgI5cYcy1+Sb1oqfuOmSHs2uXaiLGzcmYAvYTG4rEQK4NSmwBcwEfI7Gstp31t24XN920zp113Lk3jiBzX4wYJV+/Xz3sILTJ49OCgbRI2NJuYMCbSLS1xKWrmbgfUnzYXuaPRp5AIRc1hoqxyB4NG7itq0DmklscoAZN3EIuGsNsL1lY1/FJQw0PTqR0izboSkAbLG87sx1q1y9ul3u2DmscQ3T6bxm7QLI1/aE5IYNPTrn9JsIC1zGFNECGAJNc8WSeDGpykmHuHtPj5bnMZEpapvP3dBdiXlgP+JMTmfykinHIxiRc4ujlKJfP3ryhGw9Man9Zu65jjgFxgV4LmkGsE+iQSd2IZ4taAwF0RLEjTBPbsczoJp+TZAnq9nBjMGjhe3o26u/dN8psHQ2PhrxO8C2EYhKdAFtc+1s4BasynoD+E3RsYXKKUDnURf1eJLcYyurC1fscysrKysrKysrKyurcxzammJj73nPe2ZU6sXJx/dCYWE5glZnPh/3XMzUXaw+LaaLeT6QGRcrjkp+5n/klool2dDTPO/4i9kcx7QDHD40mtS8z2wOJ60ojDw2nlIgGQ74tQBURxPH5701ncZu5+aarmZ1Q/JngCsy/xP9rp1DCjcX6uIGiEKNcfk+eXRCxuNZzeItlCGhJ+iXVA6nqFe2pCalp9lx/NIX+kQ7gOla+4H5N+AZkB1LO5EQuEkZAU5csmZxFndTKK41rLAYcGmKcdGHkXhGhuMZeeAARbSAuyF56MC4bDsxpUXMCHulSBow0nGXtipwHo4Ba0s61zAN4gzIcJ1MZuXXr+rXmAH6MNWfk2jIrwXHgK3kwJLfC0gHdEaDTqwAEJe/R5uCXon4fXJjuTCcW6zLSCyjsQrAYOI/gMgGkjPn5ObiQKaomNtdyn5hf9JfMp9TZSJKWAFg37hNgcYonctLnMJsfvpDtq1XgS0CFgO2NQP4qSGnSBqZwWT80pZ4JBp0XLasJfME6KzFfgCpppjayXGW/7syB1wN+z0KvnEwz4VheRcHsomq0KiRBUg9tZolUX9MVlYXkvjw0crKysrKysrKysrqHIe2Bw8eXJqeWJ3xfNzFzNR1C3Bz29YTctdOx6F482W9CrAacbouVp/OVF5vNWQGDuK05WcgFMf8FwKPZ3McMw4DDgF2W45NyqGxuKzsiOpR9nS+IJv622U0kdE829c9c1XN8ZuiYKwTkA3HpZk3NzDmvVp9MdcqlEzlNLcUGIsDk9dMNISTI8tcReX+faMSV6B6UkQDXNTZJH1tOH7jChyBgd959Kg6XYdiaVnWEpYXlvNla80/YyMrFREZ4BEHojK+Yhk4AE0BtrBBdcSOJpTa4eTFVkrBMOaAfgNxKe5GPjDvE3XAvDJ280yK3IH/An6KXjnULl/keY6Ls/qDA1zBOwemFeQTndEVDUpLGJhZ1DzUrmhIurqbJORzsnFvuqRb7/vjbz2hTl6iFfha1RmVbccmtagXP9O33lYHDuMQpm+j5XG6gSd/JkYDF/DDB0Y1UsIIgAnQ9eBsdQFIdaOWnAJj/qKILwiQduI4iHUgCoT3nxqYUrc04wc6A3mbAz5dM+PUZs7rxSEUa4TVqrNvDrBKJAFQ3oliqF0MzOTiup9rxrVQGZcuxdJmU73iZVZW55tG4k5Mi5WVlZWVlZWVlZXVOQxtbZbtuamFOEuXyo0KyPva/YcUfJksUhyHjTxrsfq00GzcRmCv+5r+trC86PJeOTGZrkQJALJOFzrP5Tg27+POxBUK6KT4FgCQI/mMu9cbnhUaMy7uNxCT+1inamCcV5hbPKUvZo5HY2mNCcChisOVgmij8awC5YHJlEI1r8ej9+O2dAM0wNnly1slEvSpmxbwjCP2z7+3TbYfn5RsAaBYkmKxpH0zTuBa8w9IfOzwuBydSDu5sOX2QXnsxY5oqAKgiYI4MpaQRLao2bTeqFeOTwDai5LMOmsMlKXIFN8TQnEyz4w13T+SUBAMgC2VnOJvOFSJNwC4VkdKAFUPjSZkJJ7VdRqOZeV/tg3quFgHYPPzL+qV977wEoXVX3/gkDq3aZdxAJ4B40QO4CbmiD/zWCwWNXZiLJ6VNV3kBIsk0jmdm7FkVt3HzAXAlOfwbMbtFpnCPS1B7Vu+RogsJjuvz6u5uxQ7ow9k5TIHv9g9LAOTae2jUx+vJL2tEfmjmzfMKMi3oqNJXcYTNaIEiGJwE1fzI+s4m9gXuHGZm4DXiSowIiqDvdfbHNR9O57MOpB1Hs5YT7mdRnN1q7XQ+6yszjUdHj378UlWVlZWVlZWVlZWTzctqBzw7t275Qtf+ILs3LlTf964caO8+93vlksvvXSx+2d1HgpQhTOPIkiIYku1smmXwg1r2vzWI0cVGl6/vktzXxvNxm0E9lZfAxh99y0XV95fDOg8l+PY/T5RAmbuGD8QsFFoXMvRC+y7c+eQOmTJL339M1cpnKxu09xLxEBQj7fjSPXoMXUAJGBvKpWXZ63t1HxXnJkKYF3PB8otbw8rNDw4llRI9sjhcc3kBUwS79AaDup+4vmM7xM/ekru2DmkoA536u895yKdf+Pwvn3HkDx5ZELS+aJ0RoPqbO1rdQC2gdq4aNkXAMjpFEDYo2P1ZQt6DeAVx2iXxkuIjCWy+j5jdK8xMQhv+n8PSXIkLoGgX4/qA4/v3j2iBcRWdzpwHeFGxh1LETQAp6a+lt2zwFQybHEpA/2//uBh2TMU1zEYeUslBbXHJ1JODIHPIz6Apc+rXw8dHJNtxyc1LiIc9EvQX9T7k5mC5gEzl2QcMz6Kg01n8govmfPulqBmCNNv3NDEKtA/xu6ARyyvmgYg8XReUrmCRjkAixkn7SgYLjlgeF1Ps/bZXZBvfU+zPHFkQnyefCWGwagaouqPDYDVossJnHFbhMttNuP+BtjGsyf33TwdtvMpTFYtm5pgdaGohhneysrKysrKysrKyupcg7bf/e53Ndf22muvlWc/+9n62oMPPiibNm2Sb33rW/Jbv/VbS9FPq3MoEmAu8WyObBunbU9rqGY27ULdsLPJtAkYw/0p+8ekuyXccDZuvVgC99waCLWyIyIP7h9TQIwWc77nchzXe3++TuVajl4Fk+bsOMfv67ik3TEB5IQap22h6OSs4phti/j1y2S7ZnL5Uxycv9wzKn1tYc28fWD/aLkwlk8KKZGJRE5SuaIWESP79b+3nFCgDBgGRKayBbl717C8+tpVOvbfumaVvGxzv3zqxzs1sxUISoGsV1zVr2MAsm47PiU7Tkzp8zlSH09lFeyRd8sHDeTU8ufmSEBiqZwWEotlnNgHsn0RYJK94DhcMwpHiVfApRskv7VQlKlkXguhjSczukcApT3NjpuVDzJwheIUzRcKCmOZO4At86RQFmrqkhYpo1gZDlsgaTlH10MEhM8ryWxeEtm8AmqAdjLjwGfjzgUTM0fre6JybDKphcVogwiNtkhQv175jBXqkj6iebjETDi5rXwHxJvIBUBzgSzgWEZWdIQlmc1JPEM0gujzTkwm5cu/PKD5triL2U3Hx5OVLGO3NP+2BhBi/Pk6EekmZoF7NYu3eLId0xRzM5bInRY4XWxONVc+r5XVuSoiT6ysrKysrKysrKysznFo+8EPflA+/OEPy1/91V/NeP0v//Iv9T0Lbc+elgKCLkTurFQgxfMv663p+Jwtt3WhMm1ev7ZLRMYk5Pepw7LRmIJ6sQTuuSXuAZjJ0X/A8KrOiL433/mebxTDUoD4Wo5e3JFre5or60L0QK3+mGiCI+MphaEU0+L4/BNHyNhNSCKdl+HpjBaouhf3Zq4oHq9PfJ6T4A6YCAykXZ738MExzbhtDgUU8EG4GC8Zr8cn0woJuQdgy97i2moIRv+4FtgK9MUlTMwAcQUAYd4D8OGelbgD/fhinIwpEvRLa1NAC4VtXtGm967qiMi1F3XKo4fG5Us/36/9LRSLMp124CuQFM4NBAaqsu9imZQ8cmhMj+g3l/N0gaRd0YCMJ525NCZOIg6Ih0jmCrq/ALDMV7WImcCRSzvekwZYiQS90tkc0lxZCrJRoMzJwBWJBLx6fW9LUN50/RpJ5vLyi70j4iWR1yuytqdJLuqO6h7g95bd1dkSVHcqz8MtnCsWZceJmFTqb5VzgvePOIAZUIszGZdxaySozzgxnpZ8eT64Yf9oXOchls7PWLN6UQUUPQuWiJxwIgqcwmFkCHv0Q6F4Ji/sAp7LHiLmAsDvLmh2rgBSA2vPlf5YWc1Xq7vPfqFSKysrKysrKysrq6eb5g1tBwYG5E1vetMpr//u7/6ufPrTn16sflktQEsBQRci43jk63RyW2tpLohp2gR8dTfPnuk6n1gC99wC6ThyP5HKKbAFEPO8+c73QqIYzDWnC3OBrJ+9Y08lAuGK/taG1qVWNAQZrG595vbdct8+p2CViQSYTOVldUdEoR0uZY7YA7AoHgboTGfz+jziDnCx4rJc09kky9siEg76KnsaVy/X4LAF2LY3BTUC4fN37a3MA3OC6/eK/h65d9+InJhMqduWuAFg7UQy4wBhk61bcgpG8Uz69muXLlNXLUW93JmsAFsgPS5ZiqnRFmA0X4aKoYBPnbP0bXA6rUWyAIgsSyJDZIQDoTXyoAxUjYiYpdAX7QFDgZ+DU+kK5TPFtHA0e3DnVvHciURW0tmiNId9Mq7uZBe4LOJ6DmvuMY7kd37jMd3DFLMbS+YUYmdyzGtQASt7Oa/ZvgVpDft1ngG4bpFEMBLPqQMZEE4sRkvYAbbM4dB0fmahs5LovABXq8FlPZCJW5m5CHrJFTY5yCXJZUuSEeI3RKM5mGOMxGu6AM8JKRYLFfdtvbbrFURbCqkbuDxnVlbnq9pDwbPdBSsrKysrKysrK6unneYNbZ/3vOfJL3/5S9mwYcOM1++991658cYbF7NvVvPUQiDo2dRcua0LAZ0LabOReAH33AKJgJWIvhweT2pRK4Aibs5GAWojkL3eNfN1VVdD3ocPjmv2K85KjuVTIOpAudDMbHPYSJ+BnbuH4nJiKqVgkmO1PJ94g2WtTtE0QOBwPKPH9wF5fc0h2dDTLDdu6D7pem0Paz9/vntEHbhAxt991mrxe70aiQADA9gOTmc0/9bMg1krXKBHx5MK/oCSwESgKjCZTFYcqHrkvygKrnH3XtLXIh//jU0z5gynLf2eSmYV0gNIY+mklDxODq4f16sH969XAgGPtkum7LpVHTIUSytIZG8EvF5pCft1fOSvmjxZUySMOUll8hr9gOOXeRqKZSSLq7cM/PLFolNMq0o5LdhWkDaPf0YxLr0HYJpzIDf7c+9wTFKZgnS1BBWq0zfcyHftGtK9ALDlC3cusPnQaLwubMXZilIUmMvmZXIo5kQnFE+9Vi+tYav1e2oDTdoI+T2Szs7MQdb3KJ7m98q67qgMT6cUhA9Np3UeTRwE81hLlTmfR0Gy05E6sJf+MVZWS6qdg06kjJWVlZWVlZWVlZXVOQxtX/GKV8iHPvQheeyxx+T666+vZNr+53/+p3z84x+XH/7whzOutTpzOh1geTbycOebv9oINKzV5umMrRrc4ewkE9Q9tz/ZPqhntwFF84lJaASyuwEkhbwAbN959KgW4gIGMg84U2tl77rHWg15D4zE1B0Z8DnFy4C3vEc7s63LXH2mLZyXuAuBVWTZAgfH4llpDgfkrTeum+Fe5Zm089IajmgA41MD05qPyzH7ALEIXq+6RflCOGwBtu79QEEt9NPttO9T4Ljl6KRmK7/52WukpyWk7wEyiz76WVTg2t0clBsu7pbvPnZUoz1w6AJJL+puVlB/6bIWBcSAX8YFnOS+5W0hfd7QdEaaw37N4/UrxPXoerWEAjJRyCgkZE4AkOT8TqTyMwArxdDYR9GgV/OAcQcDToHfZEMDnYGptRyipTLkzBSKEvGTqVs4ZV12Dkxpli0AmxiGUiyjbmCKk00kszIyndW4BPoMWAaKspYKZOfczaLtGhA6HxZaD5zyMns7UccTm8fJC/Atijqfiaqgn0Bzfk9z+YI6jt3N0z8+RABB586Q9fVMOXqtrJZSsbT96MHKysrKysrKysrqnIe273znO/X7F7/4Rf2q9R4iZ7BQBQ6s5JyDoEbVUA+IZ4otLQTiLhUEXoib+HSyfqvh4jVrOmbcy58ZI8e05xtL0QhkN68BGSF+gOGvP3hYJhMZdVduSU1KT3NIXnR536xjrYbd0aBfplJ5XWdgH5Dx4GiiAoWBdhybr167my7pkccOTyjEvri3WX+unq87dg7rs7qbQzKdzuk+Ihf1zc+5qDJ33IeL9sEDY04fCmSRFuWWjX1ajMsUfCOKgCJliD4NEBkwx34wvwe04fE6oPPAaFxdmMz1lSvaZOPyFi0OBph1IKtX1xYY+7X7D2kRPbJXgc/MOfDSUyrJi67o0wzfy5e3aQEy3sPte//+Mc30xXFLnm1/a1gjNICEl/e3qpOZOV7RHlGgyM8UQzOFsgB7FPIqFrPqeqUQ2nVrOytwmVgEfqeYg3qFu4DIuHmzvhpZuKWSZvhSZIz2+WJuwwG/Pl/ntVSSla1NOidA6lS2NiCuJ1MEzA1hGym8VaxznTLsWXAx943HMwrlzTNL5VgFQD8F1sjWnXFPCcdvSUI+j2RMsb1FUADYbemslZWVlZWVlZWVlZWV1dmEthTMsbrwVA31cBoCYeYDOt2gFqAF9CNbdDGLoi3ETXw6Wb+N3OsGhxwvJwbAnbFaD1Y3AtndANJfBsP7hmOa83p5d4scGqNIVu3sXXd/q+Hma5+5SnYNxmT3EI5br4R8Xj3Kb6AwAI9iZGbtjDsWV/GxiaSs7oqq6xTA6h5Drezfy5a3nrJW3EfBLOaK/pB5OxxLy9ZjU9quFnybSOp76oj0lBROV0P62faDGTNzCJwEahJlQXQD8RY3X9anDuaV7RF58OCYgmgKnaXzZLkGtA2yXA+MJKQ55JMdmbzOz0s2LZN3PG+9tsuef9+3n5RUDtcsUBC3p0de/JxlM9YMGEz8w7tvubjye/KtYknBLdmxQFKNECiUFKgCjbmf1/o7mmQqmVM3bCon6vhmrtJVTlGAMdgScEvGLv3RLFyPaGE14CYguijEL0QknctrDu3a7qjC8/8/e38CJtlZnvfDT+1r78tMz/TsI6QZzWixJCQCyGAhYSMHL0DAXDHECw62gxPw93ewTfwF/HfIh1cc7HA5NokJMWADsTECtCJAoB1pRqPZ1+6e3rfa9zrf9XtOnZrTNVW9Tfcs6L25humuOuc979Yt6Vf3ez9ZsngTOSmQm9sAUd1fk/3bGH/gqBHYEm9AFMRi2bJOIbjGnF5+/6QLpUX+WWRnM+dd+b1InbfFcktaXKlYUrRa92k1ao8ENGqCZ1/OvFwjo8ulYGA5fnsjIyMjIyMjIyMjoysKbY1+ONUI9XDzrRR0LnB5nk9IRzSgxaDWsijaatzEl5L1u5x73eAQ6IUTlWP15J3i0HSO8l+K3P2gXaBqKOCVbT1xefO+C2C4WX+d+APWlCPl9+7pl5+8edMCmAxkjk6l61DYbuvC2jtre24mrXBqU2dE729c182dYXnk8Lhd4MznVXdts4J0AFKALSARuubzWOqQ5HXiCxzoO1CpqkMVwHbPnv6LIP1i+8G9LvliRTN0yT1lLk5OpjV7l7kC2A7P5mRLV0RG8iW9FjemZXm0uBgfPFD8DHfs02dm5NBoQv75wKjOAcXCiB3QaIJyRbx+n7x2d08dcjfbO+4+/8EDKQWpboCYLZbV+YpDmWfRn1jYL13RoOzvishpHNENVlucnoBanuNmuQBWTj2Q48vLPo+d60vsAo5fnn1gZF6jF3AMTyYLel8roOmptWF5bLcq/WiVMoDLGMjdFvJIqnBxJq6256VQWvOIhHoO7qK5tF7N8m1snKJsVos+8QaF39ZSc5kLcNkAW6MfRsWC5l8XjYyMjIyMjIyMjC63zL+FGzV1LAKOPvfUOXn2zIzCs7aQX+HfYhEHbpflyGxWEtnyFS+K1gxYriTrdznOXjeE+7XPPa/5re0Rv0wlC1oway2grbsf7mJd7j61Givw8KHDdmQBa4Hrs3Ed3dm5OC45Xv7EySnpitruVhuy5qXMsflCReMGdvS21dfVcY8+9PKEzOdK+iw62XgC3bnuu8enZC5b0v4C7Kr5sgR8JelvC2vxK83wncnIYFdUfmxPv7aDc5t7F3MvO+0DZYHLOCCJcQDWvjA8rzm+RA0kNpXq8/Z3T5+TaMCn/c4WylrwbKAjrPfMZYGxVd3PtE2UAtm1FLkK+hMKRQGgGzvCOre0Q0zCx79+RAtitcpBdtaUiIgvPT8ilZrNFDcwmavESTDXxTK5uR4FpXfu6Jb9gx3yhw8e09e6w2TRltRxClzm59TeA3YhMM25JVfYS8E0jzp49w60y2ymKJGgX7Z2R3S90oWynW0btCEvENXjii3g3rDfp2A9WajU4eeuDW0aPXFiIt00roHXGAN5xO6iX+xPisOpPJYWdHOKl7GvW2Xccgdgmr4zH0ByPhxROAzgdd3XEpxi2ub6WrbwWulKglrj7DW6HLp5sPNKd8HIyMjIyMjIyMjoFScDbY2aOhbJNU3my/rH5/XKi8PzCsMWc7m6XZ4UUdq3uUNzTZeKMVjPImjLAZZrnhPssS4AqRX2dyX9cObtr75zWucNANpsrK0iE9zzvqkjLPft7ZfHjkxqNEAwHtQj+fs2deh6PH/uiLpRgXsAomjArxEDzrrWnbiz5OJasnegTZ3AjRm0znUUwsKJ2xb2SzpfVpC2qSuie43cV2IKgHfn57Ly0X8+rPfu6o+r4xW1WhOn/elUXobncrKlOyLHJ9J2XmtXWGFrxSrLeDJfbwdn9OGx8+r0ZcHIJybf1nHlFmuFuyg6RgSBHTlg6XtASfqJs5M5Zm6ePDUjJ6fS4vN5FRLfu2dDPU6hcU0/8pN7NSaCmApiDYCmWkSrYqmrGRzX2xZWx/ZLo0k5MJJQGEpXyR8G2Hl9Hp3Lihc46pF4yKuuYkA3ubBEFGzriUl/e0TmsgX9mb5psFNdwoyZgmPsU2C9A3v5wzi7on7piYfl1du7ZWtPWP7qO2ckVwRe++Vf3TaoURZA7fNzOYXhbgFnkZNsPtgVkb62oEZVbOkKy8OHJ7S4ET8l9edarV21Tl4uc0HBt0KB++wblntwOxL06s9FKlduCYevNRlga3Q59Nrreq90F4yMjIyMjIyMjIxecTLQ1qipRhN5dQpGAhH9HkfbUhEHzVypywGkl1IobL3ybFcLkjnCTxYrMIwMVr5fLzXOW6tIi1YRD433A2GvH2iv57ByPdCdcXdEAhofAPACmr3uur6WWbYURyNrl+iGRoe149jFWQmo7YwEFRITpfG63X3qsJ1I5OXUtJ0vC5QjJxgdH09Jf1tRjo7HpfjcsDx2dLI+5/ffZMc9OP0AvAJMiRjge5zHANaMZp16FCY7H0LgxiWztlC27+F6+skakvkqVkmd5xRLq2qbtvM1ma9ILIhL1CPRkE82ttnuXHJzAaBeT0UyHo/844vnFfh+8N5X1YussSYUY+N7Co1F/D7paw9JOl/RvNk37emXzz2V03ZwstpOVEvHs6kzLMUSLlNyJu0IjlSB/lkKfRX1Op8bKGT2yKbOqGxoD8nZ6bR0RgJyfj4n06mCQvhy1dK5AUQDaVOFilRqRc02dkTkug1tMp0pqrPVLX4n4Ir2Ck5erxQbCk8yT+BU5pN+UBgMIE1/v3ZwTGFvNOi/KB5iMTEunkvEAw7iPFEPyyh25ihfrur46RnPdYCwKSJmZLS4vnFgTH7pdTuvdDeMjIyMjIyMjIyMXlEy0PYVrMXAJN+TncoR/1ZFoNbElbrOYHU5RcKatbNakAw8RBRyk5pzkGJJbli3Vk7ixnkDTAJlG+FsM5jOmCkqhptze09cj5g/eGhcAdbQbFaGpjMKAgFcXEv+KwW8HBcvx/2bzTNQkb1CcTSydhsd1slcyXbsejjKX5VkviSv2tCmDlv6zbOZL1y+PN/thswUKzrmf3xhROGf5oh6LIXkPJf1cTJ1KeTFegMGeQ5REUBeQCzjJV7A2WfEJwCnuQegixOU154/V5ShmazkSlUFzGS4Aifp7+h8TmEnObBA37tf1a/9/sHwvLpyMZ0qTKxaClOJQCCygXgFYgpw1/KatkOcAeMrlKWvPSxv2rtBn4PD9iyxDPlSvfhX1arKTLqkWbGAZqAycNsBn45j1SnwBZUEaxLhwHUUhdvVF1c4DgjGocscRvwiHdGgjM3ntO32UECdxJOpgmztjun+eOjwuDpjaZY5/YvHTsq+wU5dw3QNrDvqCAHOfXb8RdWSYrWqsRIA+4S6nWv7IV9edI8D0d35vc5X8ZBfi5St1CzL/OAOBlbzQQTP5+uSKbBpZLSoDo7OX+kuGBkZGRkZGRkZGb3itCpoW61W5eTJkzI5Oalfu3X33XevVd+M1lmLgUlgG444MllbFYFaK622UNhywKobWAJscRiSXeq+vlk7qwXJwFgAIpyJ+x8+MikvnU8oKOL7gyMJPY5PbmozgLsSh2/jvAEmgX2N+bvNYPpXXzyvsJPc1wPD8xLwexTQbu6Kqgs1XyprviwQ1cmRdeaxMUeX93GmOvmt9+3d0LLf5L3yJ5Er6lF+jWLwe2VDW0iLZeWKZQV93IsrttkR9ql0UR2o9C9VKKkrHADNM/V4vcejMBNwOZXMy+hcVo6Mzkt7JCh+r1eBLSDQKdLGPh/oiCis3Nhuu1wBp3/04DE5M50VL0W+PDbk64wGtM/JcFlyRTs2ARALsD06ntSiZcQTjMwRPWB3nv/HpUrEyA0b2+TGTR3yxIkpLSjGXODCJccWcH3rlk599mefPKdt9cYpFlbSufJ6gZ+AzpKEfVxPrmtV4THC2OrxkiNsSTzo168ZGzAW5zFr6eQPAI21wFnIL3EP0QVRmckU1GFLv2fLRW0/GrDs/eEDKhNlcAGczuXKcng0qcAYqKuZsz6PhIiR8Hlla09U+3ZsPKU/D9USa7uyyJByk+ttt62lEQ3F3OLQt5k0XoK84IwNfb1Vy+TCGhkt4wMPIyMjIyMjIyMjI6OrHNo+9dRT8u53v1vOnTuncMAtjsBWGo7IGl29WgxMAs0ooLUWRbTWothXM60ErLJTcRoyrsbrm7WzWpDcrD2AZl8bkDamxb04on7j5o6moHklDt+l4igAksDZxuP4fH90LKmAdlNnRPsITAO4nZhIqYMRByYQE2cs7bfK1KXg1hMnp2swM1gbv6dlwTDcsvxRd6ll1Z2nANuyJepaxZEJjASwej320f0LRbG8WoyK/k6m8uqCjQRsIElfmGuO5b9+9wb5+qExzVrl9xRRAn6N/PCrs/Jf37VN+/e1A6Pyv548K7NpgKXIjQMdCk2ZJ6Bqv0YWlBVMUrCrv83O1KVQGDEGxEDQTz4M0PiFQkU2d0UUfI7N5+uOUuIU6BeQXIuszWYlnS/puLkEwyv5wcB9nu04hjMA29rYgbAQS811rX1YhgP61GRGRopZfd1rATk9CoKBrgGvR4urvTA0p+O+fkObOl8pNEd/1FUbCchYIqdFzQCuuHntYmaWtEUCGmvA+NXt6/r1DiTmAxBAMP8ooEfVMhENloS8Hi1EyIcBfIgRqAPYlXljm3Eixkk270B7RDOKVxtN69xXL5Dmyt8N+exiacB/3NTsq1qtuJZy3NBGRj+MUue+kZGRkZGRkZGRkdHVDW3f//73y+233y4PPPCADAwMKKg1ujZ1KWByLbXaWIXl9N8NQUfmcwqYgDHu65u1sxKQ3OiOBbi52+OoPTCO74F0OFpbgeaVgOil5u2Bg6Pyt98/q5EAQNinT89qNql7Lnb0xWWwKyYjcxk5Np5WkAp48vhFC05l8mU5MpZU+NsIYRnz905OKwCczVgaJfDi8Jzs7IvJwWjzgmFONi5uUSA6c0csAC5oviZWYUdvTLNhAYHhoFf7QBYpQLRSpcCaT27c1C6zaSIUSrJ/c4fGeHzv5Ix0RPxagExkRucaKMn/uE/dnpal8NUp0kZkwshM1s51rVry6JEJhdd2ga2KAlvyauGlA50R+fm7tql79f88PWQ7UynkFfCp83d7b1TbB3LetLlTemI5OTNNLEdZqSuF1u7Y1q1F0IDh7hxV5rxi2cXMWPOBjrDtGCZ/1ePROZ53uUoBiOfniYCYkxs2digMxpFLDjU5wRQXi4T86jKezgB+bTiMi3lLd1ThNY+fzRRlPJHTuShXqpIu2m5axssfncOoDctDGndgv0+ebDzokVSxumAcvEdMR8YqS088qFEUQONEHmfy6j7Qc3Jn3cqVLM0OXksxjFoMr7qe+RrAPZ0uLqvQGfss5LOkISmipYjbKDQUbzMyulplEkSMjIyMjIyMjIyMrgFoe+LECfnSl74ku3fvXp8eGV02rdbhei31HwiKo7BQItu0LNGAX4EomazO9a0cq8sFyY3u2De8qlejAnDnAWx/9Q275Jkzs9q+UwSqFWheCUhvFaXgvP7pb5+SyVRR3aFTuYI8c3ZWrt/YVpuLikQDPtnWHVXgd3IyJSE/x+0t8fg8Cv8AuLwGVvrrJ85oBMGP13JqnaJfbSG/DWDTeYFNcv3wbFZhVzPg7GTjAkAjwawMtIe1ENfoXE5hKBCRtm8Z7JQNHWGND8CZS5TDi0NzCjJ57adv2azg0Zn3VCGjxczu2tkjcmpGASMw94VhYgDKCuRwrOLsBRzTN+aATNlMqaJOWI139UrdGX37ti6ZTRcV5v74vgEtJEb8w5efH9Yx4z5lnBQkCwfKCpDJ833bj2zWGIyj4yl1IIMc6eutg126F97/v5+XUkPuA1BwPFGQzZ0xXXPmFjcv7tSnTk8rFG4mQO6h83MSDfnV0Uqz7RHcxF7Jl+2CYrZL16aSREsAmckLZvyAVE8NUgLMgfmAasA19/H+aLGibXbFAtof4iJ29bdJtlCS2amFa8w9Xq9Xn1EsW3bUxJ5+eeTIpLw8Oi/Dc3lZici0bQv7L4Lc6IKL+cLXlyLNBK7lP2SrOL2JOPboHDQcKmkq9sJKuJYBtkbXkvyXHsNuZGRkZGRkZGRkZLTe0PbOO+/UPFsDba99AcecoltAolZH2q+kFst4XQ5Y5Z5HjkzUC6qF/T4Ftu77Vuv0beWOfeLEtB71B/zh2ATY0j5jwf2KwxQ3Ihm0jaC5VdGwxjlAxAHgdAVCHozZ0QS857xuu1erGndAgS1gJ8fyL8yFVyEq7eKKxIEMoOJY/G1bu2zHpdejoI57iuWKQlLEeOgL8BHYWrLNpAq3OGaPm/WmwU7NesW96hRme/11vXLf3n4Znc9r9i3Oz//++Ck9zg895Bk8eCKVlxNTaXnd7l757bfskb/6zmmJhy84lKdSRXnf3YP1ubJheF5G5nJawIu5LVer+nxcu7hIgYmDXRHpigV1bpnTMs5rD5mzdrExnxdAZ8mpybQ8c2ZG3b27ak5pYgsYN88BakcCEZ1jXLCsNfMH+GQOAPNd0YAMa5E0n+bgHhiZlw9+8UU5PJa8KKsXSDrYGZH799tQnL5989CYnJ3OSLZGKwPAySb7L12sSq5U1A8nYkG/5t/iqGbsrI1dmAzrrJ3dymusFf321By12WJZZrNFdeFSjIzCYribHc1l7YgI+t0WBETbruVGF6x+7RGNYiBm4SsvnJd33bFF/uxdt8jv//Nh+eJzQ0vGDLgFhL9lS6cC7D9/9LjOPX1wPxP2GSAyY42dgPTTKbC2HKftSh+/VrDZyOhyiN+xRkZGRkZG16K2f/iBK90FIyMjo8sHbT/wgQ/Ib/7mb8r4+Ljs379fAoGF/yJ/0003rb43RpddK8lQXUstt+DWpfaPdnGIAgMBfsDB5RYVW64a3bHAmGYRB4zlocOT+h7XOUf03WpVNOyrB0ZlLlOUr+ZKWshsz0CbfPPlcT16nlSYZjtbeQYZs05mKe5X8kk3dYblXa/eIt85Pl2fC47dMzeI68k2xV/52t09CkqduT83k1bIyz2h2vF999wCR0MBO58VERkQDPoVXP7pw8c1T3UqXVBwjJPzl1+3Qz5wz3V67Z8/ekKhsxbrKlWkVPFoxi1j4nvgM/1wz7ETpwDI5fX33b2zPr8O7AYGf+vYtMY/DHRGmxZps++PKWo8OpZS2AqcG5rJiM/nVUcyhdEAp/OZouzui9XXGycrMQy4t4Gk8ZBf+tsj8uZ9G3VPMwYKjv39c0PaX1y4s7MlnZtGThcOeOSnb94sH37LHnXyIvKHP/bPhzWz11Gp1r9mnA/4Z1UsLTgGaGf8uKATVknBLOuKYxjIDsQGfHos2xlN0bBiqSJZQG0pZ+9fHyDbbtsp0qWZuR6PlMoVOT6esh28nnpts/q13A+052ecgnsO6D8zk9GMWAC5uleX+Lnqivrlz3/u1vqcPHx4QvcFY8tQkc2l1QJb+usurtZK68FWmfssi2pkdA1oc8eViU8yMjIyMjIyMjIyeiVrxdD2bW97m/79i7/4i/XXgD+400whsmtPK8lQXUstF8Yu1b+l4C9fc6SfZwEc1yO7t9EdC1QCzjZGHDhjwe351KkZ+cKzw/X7F3M3cx/AlqJPHPUHlD748riksiUtTsXRceCTc6yeI/nzWRuytYe9eswfmMhznEgB5uLMFDDWoy5GXKhEFfzCv7gQf+CM68FD4+oYBXi7x8M1P3ZDv4w8lROPlNSxids0EvDLq7d3aaYqUQNk6uI0ddbrgYNjdVhMkSdiDVBCRHb2xdUtC7DliD1A99RURnNwoYPnpjM6rvFEXrb3xhbsHff+AQa79w0OY1zFDiKjHzPpghZkyxTLGqfQHvYruCbDNChVhdG4LcmKxXFLXi8AnTExx5PJvEQDAY0W2NAelre4XLIOYObIPM/EpUp7bmcla9YeDch77tomH7rv+gVrjqsXYNwoiq5t6cbhW5JEjugGux0iC5iXVK6sxcSYv/62sGRLFfHjsPVQBM0mm7jAAa58B8gNeu3MWv2+XJFssaptOnJ4KG0wGiI0yLfEHayRGiV7jLQDNGaPJfIl7U9PNKgfHvCzQVTIsfFUU3DdTLiZf+crL+nPLxAbNzNZvWv5zxj6QQyCnXcsl1UG2BpdS2qr/Z42MjIyMjIyMjIyMrqKoe2ZM2fWpyc/hFqum/SVWIysGYxtNl+N/aNAE+DMuYaj3g8fmVwU/q53dm+jO5ZxkC/a+DxnLABbXJrAN3fcQCtxHw5bdaLW4giAbeSVRrxedTtu7AjXgeEL4aDMpIuaVdsbD8rriCRoALH0rVQmMsCjubZjiZxC4WbjctptNn9ah9CyNPOU/NFOCpB5RIKarWsXYXthqFR32rL9j4wnpQT4E0uBXm8sJJs6I/LuO7fKPXs2qDv3uyemFHgStYBTl3mbyxZkNJHX7FnaGuyK6v1A5cafscZ9w1ww11xPXMZnvnfGnsdKVZJa4MuqOWLLSvLgpcw3WA2gC9ScTBbqHzQAjbf0ROWuHT3y1JkZdYDS3j++MCLfOjYlE4m85ttSVO3g+YSuV8BLQbQLkQJOJAIwuXHvU/xNXawNwBbAvb03Lr/+xgH5zBNn5OVR2raP8iO7/xTDqspkqiC5gh1p4G6L6Qv4PZrjGw765TU7uuXoRKpeKKxYLujaNJ73b4v4JJXHDW23hLs74PEJS06EBjdkalENfFv2WPL0mVlpC/t0Le9+Va88eWpGP2Ro5RjWQmDCfg5JpeqR09NpnXPc5aOJnGb3TqSKshaqg2nyjMVaE2jbalxGRte6+D1lZGRkZGRkZGRkZHSVQ9tt27atT09+CHWlogeuhWJkzWBxs/lq5mJ1X9MqisCtS82sXalaPc8ZCw5bgC3Aj7gAd5+bgWv+AK2+d3JGKlZJgn6ftAERyca17NgCog+47+RkWirVqsI6oCCuyM8/O6zH9emTu2/Ab+YS6Dg8m1M3ayNEbpWn64BznKpbtbAb2biZepE3Z71wSDqZtgAt4CUgrlQpS6Z21B1nZrFiafEuMkspIAbcfPL0jILBl84n1NkKBAUMMwbcsWdn0joXQEq/f+HPGM9lznDF7uyNaXG0w2MJLejF8XwAKg5Zx83LcX7UHvIpzI6G/TU3LiDbUrjLfPNcYg+A1IlsWeeOsTK2/+9XD+lpA8YDECUjFucuLlyAL8A46KvqqYRMEUhoaZGt6zfE5Zf+1zPy4nBCnaqbO8OaH2mD0AtSJyt25pru2N6lzxiZzdVBIVEF3EY/siW7ABvOWjdJ5DWgeclDgTRLXv+qXp1fPvxgPbg3SAGuWrl4G/J6NU7BAbZIYXHRjuGoVC4U4XJ3m3llvnmJuAo8uRvaQ1pcDiDvFs+JhXw6Z7hscSeTETydzsvh0YTOKfO/VqK/zKZ7TJcix/G8ksxeI6NrRcfG7d+vRkZGRkZGRkZGRkZXMbR1dPjwYRkaGpJicaHr6a1vfeta9OuHQlcqemAlutxAczFYTMaoe744Ft8IDBuvAbABfS+3U/hS5xo4CrBt7HMr0P+rb9glZ6Yzcuh8QeMGqlWvRhEA/ogYcNrkvtH5nPh8HtkYC+v706l8PYoBmMnRe+YUOEjWK8WiALZ37erRaAL3Pm3WH/ezRuaytlPR69GxOEXeHNj72SfP6dr9yTtv0fEDe//ooWMylylJqUpBLBvC4qI9O52WGzd31GE84NJx/wI9EXC3v92vUE+LftWKpTX+jDFGiodxpP7gyLycn8tKQiMK7P57A3Y2K/PT3x5WmAi8ffONA/LEiSlJ5Mqydyt9SdiF1iqWAs3ZTEmePTurzmByglkTxoorl7bpD3AR5/NMpqj9fMv+AXVXa05vuVIvBAcwZKz//osvyumpjEJa3K6pXEkhKUDeEdeSs8tcn5nKyF9/97QCXzsb2YbzTuQBYNouqma7hAGrjeI6PP/06S8fPyW/9oZdGn9xbCIlQZ9XQenx8bQdG1DLKU4VLi48xvcA9mYWU80I9l74mv0SCfhkIlnQeWgUxfAAxswfbQGoAeVjibwW0SMjmfW6VDldhX+vZSQC82QZYGv0Qyp+Do2MjIyMjIyMjIyMrnJoe/r0afmZn/kZeemll+pZtoivkcm0vfLRA5cz3mG1ERDNYHHjfM1ni/LAS6kFwLDxmvv29jeNIriaoy4Wcze3Av3//fFTcnQ8pUfkcS8Cryh+BdgC0lJgzLlvZDarOazJfElyhYrGKIzN5+STj56QLz0/okf9cd4CMzd3RhSOjuRLtYiKqhb5IhOWceJUbewPP/HOawA7jr7v7ovXnbWAWTJrgdLk5brhM2Ml07ZcmVdgBmCkmFemYENa5znlsh1pAAztigb19wwZrbt3xmUmU9B81Tfe0K/tfvPlCXni5JQWQqMN1so9j+oQIwrA75Ncyf79BGQO8FrAr3PJOCjqdmoqLV2xoOzb3CG98ZD8xL6N6l5+6PC4VKo4R0sKcAF+p6fSMpctXlQUi/Wxi31ZOj6ALMCX+TkxkVJYDZSOh3HTVmV0Pm/nAfsoIEZFMRGrVK07V8lcxWEMMqUdBZ+pgkykiIrwaMGxYrlUv14dpJaoW9YGu+yBhUXFUCToU4BJH8cSBbltW5cWDmPdXxqZ12zbqVRB1wAwXLU84vFY9cJjnlqxsPmcHcHQKP6REAv69Trc1WFyc3FFk7/r9UrVW9Fx0xIObOA4Ob7TVeI1POL38MGE7TzmgwniEZqw3mWJ+aaP1jpCW9TYnBNFAVQ3MrqWxe8qIyMjIyMjIyMjI6OrHNr++3//72XHjh3y6KOP6t/PPPOMzMzMyG/+5m/KH/3RH61PL69RXanogcsZ77CWERCN8wUwxGnpBobvu3vngmsuNSd4uTB2NeNs1fZi7uZWoJ+5ANxt7opKtkRuaEUdkTgyAY7HJ1JSLFfkyFhCgj6fAk2yWk9O8rp95J0iZs+dm1VH6c2DXTKTwt2alRsG2pSwAV8BZBTtOjSakH/KlhTqEkHQ2B+Ar+1ILclrd/fqujhOWubp3Exa4wM2dUR0zhz4zDX33zSgz+NY/dAMRcai0tsWUicl0JTnUxQNNyvO365YQLqiIXnrzQPahmbT+r16nB9oT59x6QJsaYM557VHDo8rsAVKAjqZJ1/F/nAJ8Lh/sFMdxs+dm9d5BYgyB2+9edOCfcCYHj/mlamcnctL3ur4fE7matmsjhwYSLEsHK797SGFumTyAspZAyIB1J1qiaTzZQkHfRIP+WSqWJaSi4m4gSJ9pVAchdKKNfiHI1cLlakr9WKnK3ML1CfGwe8lKqGiLmE3tGQP4Wqlb98+PinfOia63mT+JrIlmc0UpFyxc32Zi1KpItVawTPaxBnbGQ1KIpdqupejIZ9GUzCvgGw+hCno3rULv+GQpuv9bSF1JdNHZw7yJRB1RcL5koLnw2NJhe7FcnlVmbEOsNWv63OAz9suorZeYh2dNVupTD6u0dUkPmQyMjIyMjIyMjIyMrrKoe2TTz4pjz32mPT29ipI4M/rXvc6+fjHPy6/8Ru/IS+88ML69PQa1FLRA1d7obLlxDu4rwG44bBc7Xga5wtYdnwivQAYLjfOYa1h7GqiLlYDeluBfgp64fjkmD/AjDFxnB4QCRCLBW3HY7xqSW+bX27f1i1vv32LziEOW6eIGdCRrNADwzhdqzLYHdVCZLQL+P3B0JwCQUAeDmYg6Ot296rr1N0f8mIBvhTGIoeWsTI2Z54AsWOJOYXEwNfX7+5tOsb79m6of08bFBWD5CmMtix5/XULn90Yj4FLFXfoDQPtOh/k3NIGxdfsKmki7eGA7NvcrpEMR8eTOr7N3VGJBP0aD3Dj5vZ6eziGnXgHJ7d3U0dYi6ThZqZFQOWZqbQeha82ADoyWV+9o0edzADK6VRRXaQEy1LsjVgA3NEB8Ugo6JMbN7XrvYD2kfmsRixo9q/Lzeq4ZH/uzq3ytQNjGl1Av/WZFNCqOTrZF/qsWnZwT1tI7tu7Ud3OT52ekQdeGlWA6PfgsvVKOBhQwBwP+yVbqOi+QMQ30E+yaDHX0SLvOfCW/FvymIHh7Bf2Ch8MuKNhcbby4QBrT0TFt49PaaE3fo61SFm1omNjzuYyRZ2TxnxZvsItflO8UwvZ9bQFJV8mYkJWrEb42REBgFclu9ZW2wZdisHWQFujq0mcbjAyMjIyMjIyMjIyusqhLfEHbW1t+jXgdnR0VK6//notUHbs2LH16OMPrZaCeusBdVfS5nLiHdzX4JpUB2WtKBRQBKCz2v47MA9YOZMuyNcPjikUvmdPv9x/06ZF21psbt1zQCEtXIlLwdjVRF2sBvS2gtIfvPdVdcctAJeM22fOzGpWLUCWY/Llqg1hKXzl5A8yh0+fnlH3JJCN4mRAWo7o8ywcrBTTIj8Y6FmskPMq4i2KdMdC6l4Fmn7gnusW9AdQ6oadzticeeJYPc5f0lLmcWzWilo5Y6RfzhrwN9870JeiYk67zrOdNWO9yNEFVgP4nHVgfE5W7PBcVr57Ylp29Mbq7WzujMp/fdt1GvvAhwtLZSI37p/792+Uv/zXt+l7tEFRtJH5fB2SOgJS3n1dr3zpB+dldC6rztGtXRE5N5tVZ221Dne96uhlHunPbdu65e+ePqeOUzeodVoHNAOKiTD4vy+M1J9Xj1Dw2dCz4hz9F5GZdFF/bvj5AbIDm5k34O4tW7o0Z/gvv3VSvndyWgqlkjpdh2YzWiCu6hQ0q7l2iTUA2uDMHZvPy9cOjsp1G9pkNlPUfeOeBW9tjTU2oz+uWbnwHoBx3elr2Zm7uI/J7g1pJvLFiJI0ixeH53StKa5XWqM6ZLjQr8bD3jZ8t7MlGgvRGRldSfHPGCMjIyMjIyMjIyOjqxza7tu3Tw4cOKDRCHfeead84hOfkGAwKH/1V38lO3faR9eNlqeloN5aRg+sps3lxDu4rwGAuYtCfevopDrNVtt/B2Dq8fTjU3UoB7TDBdqqLQAfcJcj+tt74gqdWhXXaiyk1QrGribqYi0zjQFuH/2pfQtecxc1o9gYRbo4iu5+FnP4I9u65KXzCc2qTRdswOvxeGVjW1g2dIQ1/xaHKPcB52gDqIbbkuP83MecuiG5MzYnzoC1Z53ItEX/7bGTGt+Ao3M2W5IvPDMsP33rYL2NVvuw1Zw517OWTpQDRdToKz9H8ASiAAC1gEDyT3GHsr44bZ2c3slkXk5NpjU2gf7hoI0G/bquAx1hbY/rgMO0CRB3Cn+Rxcvcka+6rTemGbrzdcerDU4BkxzlB1Q7WbJajMuygaXyuJprDTcuUPWlkYQcGJrXKAXmnQ86vNXqgrgEXn/o5QmNCkjnFwa70h4RA/QX1zPAlaJlQOIHD43V4jSqCgOBxNFgQH58n/0BCtCVDwKcXN9qtVovqOa0TT8B8HwIw5xqYbKyJS+fTzYFn7yWKVa0YN7jxybl1q1ddsSDxwbB/A3E5TneWkbubLnmvHWBaB23iMxmy/o6F6wGtOr0N7hWr0ZgC8RmTzJvfiaIYGLDbY2uEg10RK50F4yMjIyMjIyMjIxecVoxtP3IRz4imUxGv/7Yxz4mP/mTPymvf/3rpaenR774xS+uRx9/aLUU1FuNU3MpraTN5UQRuK9x8kyd8cDX1qL/9BloBJRDQI3F2gLwAevIWyUGoK+dY+IbFrTXqpCWG8a6Hbkcka8VtV+WuBfIxRwANMleXY9MY6dNnLJkhnIkHXej+1mAvK09MXXgvjyakPFkXrrjQS2WBbCjUFKlYunxdRyNTkwq/W+MP2h8rhNnAKxn7RHXAc0nUxzjp9BYRZ/7K599Tv78525VAN1qH7aC4+7rAaesF3DTAb+AShzePPPkJL+fLOmOhhSsxoJ+HQP5yKcmU/oazt/5bFn+9OHj8sbr+9U1/Lmnz2nBNnJ4S5YlyWxR9xrZvPlyVWEsgHewKyJ3bO/W/XV0LKWgV+uHKWOz5LmzOENFBjoj+kFDvliVrlhIssUs6RQaq8A+Yr7pF/cAmZ0oAmIJGsUrRCIkatC0EfZ1xwIykynp97TB2gFHS7lq/Yg+EHg8WZCtXR6ZzxXlS88Ny5Onp+196sXVagNbICexCfRDQW8sJBvaQ/Ls2Vmpun4ClgKf7CUgOffxoYLurZobmIgGWnKbSR0XbjPps1YJMNkfxdrYiGEgdmOdUxGWpUZAjRm9wP9RlA5n8lXQRyMjR2+4/kLEjZGRkZGRkZGRkZHRVQpt3/zmN9e/3r17txw9elRmZ2elq6tLHW5Gy9dS7s21dGquZ5utxgMEeujw5CU/iz5TDMtx2nI0fbG2AHxASo6qU7UeOMIRcaAyfXTPASCJo+/N4LTbDcrxe6jcjr74slzD3EuhLO5l7DiDlxsNsZwIi8ZriEtYLOaColzkgkINybLluH3BU5VZikOVK5o7Sjau1ByjwGzcoH3xoLpBiWFAjcXUGuMMHPhKhAVH8rMF2z0KrOR7ICmO4Vb7sNUHBVx/cCQhT5yc0mxaclCfODmtFc3v2tWj/R2Zzcr5OTs3FsDHcf8t8YhGGHSFfNpHHLZAO6IiAHnT6aL804FReejwhLpDgbm5Wn9wLuNWJUpCAWNVtJjb6HxOYfeGtrCO7cx0WlJ5nKL29aw5xbaImgDA4f7lg4HJZE77YnlFc2ajQZ/MZe0YCZyuToapw+rYt16v7UhFCtOrNvB0YCdQNRLwytHxlEJZzJmO6NtCT64toP0nHzmpEJ8IBQcSuwt1AakRebfv/9Gd8qa9G+SnPvWEDM3mFly7lJKFssJmBcPELFAMrlYYrJkuxQHLvDTLkGV8fW1BmUkV7WdcARjarG98G/DYa1ywt6w9r7p3r0YvsNErWfw+MTIyMjIyMjIyMjK6yqGto5MnT8qpU6fk7rvvlu7ubrHMv9GvWK2yPR34tpoj+UtpsTYvNUO3EbjRHrDyUvvPfUAf4hasGhBcrC0HCNpw0a9AjEzRYxPpJefALbe7E9hnt70QTuJuBUQ6WbNkzy7mJF2rCAt3XABAFmcrR96JJ/jO8akFa8gf3gdSEhcxkczpfERraxv2e/XoK/mxp6cyEgv69NpC2dJYBWDllu7IAidt41y74Svrzq8D4gY4fo+LMx7y64c6zNNK1sAR79vFz9LqTD0yllSgmIF2nZqR3rawQvp8uaKwmWP8uWJZ3bCv3dyhDlP6yPFzwCFgls2kwKxU1T9OZCMOWPrVibNboxjs17VQVlUkW+T6iqTzJX1/Y0dEPJ689MdD0h4JSAF3bq4slXJVxwwQZz78fp9Ylao+P1+syAMHR7VfdKSJuVYBpisKWPvrFB1jHB6PDdbThWoddrpjDYK1DwwulkcLfAGv2T+tfnPTBj93n3vqnALj97xmm+71dHH5QBFITTar46xlHqrrVICrVdEvADfubJ5rXSGLbbO+WbXXrWZk3cjoKtMTJ6bl5+7cdqW7YWRkZGRkZGRkZPSK0oqh7czMjPyrf/Wv5Fvf+pYNYU6c0CzbX/qlX1K37R//8R+vT09/SLUYoFtOPMFKtViba52hu9L+t4LG/Hn77Vv0z3K0WM4ur7lhORDx+XNHLooVqBe9mufYuqVOX4hTozMUiPWNQ+MS9HnUzYsWc5IuZ9y0sxTwdaAw8BAHLZCVtQNsAgIb1xCgy/uhgFd64mFpCwdkdD6vUB2HLa5oipLt3+xXJ2l/e0jzWYF2bRG/3LWjR+eisS9uoK5REJWqfO3AqLqMKYpGUTAAKr8rKIAF2G7cG8v5sIDv7eJnHRphQMQBzyWLl0JXuKX5fuTJrEJdnhUK+uS1u3sVpD96ZEIePTKpcJqxM09lseq5sYBCLcDmJd9YJBr0yg0DHXJ0PCG5UkU8uFhrUJeYjtu3d9n5sVXbIQv4xt2NcxscF/J5Nb6BPtFvPtTqjQdr/a7IuZmMwvCV+CnpH0A9HvJJKODTLGKnuFkzVXhAEzEOv5e+VSQaCUrQV5JiE3DISAC0B0YSMvTAEdnZFxOv1yvgT95rC/l0bpoB5wt9sKMI7KP+1rKg7Hpg1fPzwHE7T5eddbXU+LpKumFktKTMXjUyMjIyMjIyMjK6BqDtBz/4QQkEAjI0NCR79uypv/7Od75TPvShDxlou0KtR27ttdqXVtB4pQ7gxXJ2HSfox79+RI/X48IFfHFc3XHiIu4B8OCkxRV5x/Yu2T/YIVOpYt0ZSjvfPzWtjs629rBUrcqqnKRAzs8+dU4hGnB4/6YO7etiwNeBwsA/sgdw0AJkeT7OTmcNybplDnh9Y3tIXcC7+mJ1R25jFi6vP3J4ou5q7ooGZSJVUGfuEHEStYJjbqAOnHQKzhGH4c4yBngDWaMhv+zoicqegTYt9OVeRxynf/v9s3YBJp9Xnj49qwXS3Ncw18Q0vHw+oe5Z3LB4REsVn9xwXVt9nwAkiTqYSOT1+P9Ngx16P3AaUBcO+vTv3f0xGZnLKXTEfclzmWuPZcdvvO66Pjk8lpJCsSoBL+OramYu73HPc+fmpDceVljMnP3hN4/Ks2fnJBry6TwS1UBOLU5Z+n3r1k7xUXwsaO/bXPGCO3YxBb3AEo+UiBXweuT6jXF54/Ub1Gn8/NCcRIOiObduOVC0mcmWX/hgV2Il+KChVKmoU9iJPWgmuxhYSebOzetaA7UBtcRPuJ/XTM3gKD9XrRy3nnUGRFdDlq2R0bWou19lMm2NjIyMjIyMjIyMrnpo+9BDD8mDDz4og4ODC16/7rrr5Ny5c2vZt1eE1jNj9mrtSysI2woaX4oDuBk8pb3vnZxWlyo5pggYRftcB9dxXKw4R8kenc6UtAjVB+65cDwUeGlfY2mWKm00Okmdsf7Vd043Bc68z/Hz01NpaQv7xbLKMtNekPtvGlgU+DqvEXuAA5YcWtaM5ztRAHwPkP3qgaTMpPNyniJbnRHZ2r1tURc04BOHLPcDKLuiAT2Gr8fLReSvnzhTj2OgH+51OzWV1iJwuGv5G/fuL75uhz7ry88PN4WzxDvQBkf1yZqleNVrdvVqhi2OWJyqgM+h2awWRpvJ2JB5W3dUZrJFOTaeqoPkt922RYEgEPzcbEb+9slz+v1oAlexR2MQhmYzum5dsaAEKO6Vswt44bJlrcXjlUPnkzKVyus4fDVwCmy8YaBNc2BDfp8CW54JdP/uyWl9HUftycmUwm0tjubzynPnZrQPxDnQXjzsU8ftYkWpHNlJBLabl/4nc2XZ1BlW5zDgGpDbCDrpZzNYGvCKAn32Mv0k/sIpPtYR9kkiv/g5fTvXt3rhebUQVqeAmPuRi4Fc5qVlJIPHHieRCnZhN+PwMzK6GmQSsIyMjIyMjIyMjIyuAWibyWQkGr0Y5lGMLBQKrVW/XjFaj9zaq70vrSBsK2h8KQ7gZnCS9oB+/DdotlhWeMUxdvczm7lYG59LOzdu7pTO+axGDQx2RvQo/nLG6n5/LGEXqErlyuLzeRUeLgWlnXE5ENpZs0YHLQWqJlN5SedKMsefbEk++chx/Q9wJ26iMZcXAK1Fy/i5zpS0OFcs6Fdgyn0UhMMV7GTcutcNNy5QrjMSkES2JPs2ddT3EfEEtNseDsjwbFamUgW5a2ePnJ3OKDwHQDIPwRLZuzEtOkaGLZEIL40kNPYA9yxtM0esH5m2pVhVvnpgtA54HzsyIZNJnuPX/gDMX7PLfg5gNVsq2xm2XlG4StQAfWIvkBU7kcipOxjwiIO4Dil99s/G9t74guJ1AOyxuZydT+pyi4b8Ho2FGJrJyURyrLbnsJh6FExS6KyeP+sTWYyZcg1uZeIeWAPWhAgIIHfY55Ge9pCMzecV1raCK3woQAE6gC3zx77XtksVdd+2KuTlljsKgevt2IOLwepizbSCynqfReEw4i3sr681TrTaPF4jo6tdJtPWyMjIyMjIyMjI6BqAtq9//evls5/9rPz+7/++fg+UqFar8olPfELe+MY3rkcff6i1VrmvV6Ivq1UrCNsKGi/mAHbPx+bOcN1Vudjc8N7BWFC/BmANdkXl1q1dGhvgxB4AAE9PpSSg4E2aOo+dfu3ojctAR1RBHvEDyxmr0+8vPDsskSDF0uzXyEal0Nql7AXW0I6FSOkxeABmoVxRmOT3ePSoO/EHQFva+I3Pv6DjxSl8YiJlu00toGJFIVQs6NeiVRQpI+8Wbsd4HJD9vrt3XpQhvKsvruOluJkTb8C9OE0RTsqCVBSO4uZViFezYLIm3IsbFUDLsw6OzNvjKFU1yxX37/n5sgLA7mhQZjIF7V9XLCAnJlO1Y/A4hauSKpTUpcuzS+QV1KCn17LBL9m9jAVOzdwAJmnXOUrvQDiiHiLBCw5bRzyv5CJ1luOcrXKPPTZgNI5eIhLYT3aurA1BuZY581O0qwXxY86LpYqu45eeH5aA3yd3bO+WQ6MJ7Scu8FjI/nXOXLNeQFXqtCHWEcCLw5lxuPvLHtGpXyFtbFrjbBla7DnOW4vl5F5tYm75sGMsaTuzjYx+GEWBRSMjIyMjIyMjIyOjqxzaAmfvueceee6556RYLMpv/dZvycsvv6xO2+9973vr00ujdSsWttZaDlRuBWFbQePFHMDu+eCYPTRsR29s0bnhfo6F4/zEufljN/TLT968qd5P2iRi4PqN7erUBKr9RAOoW6pfrcbK0XaAqhNrwBM55s7R+Y5IUF67u0fuv2nTRXO5qSOsoI/iV868LrYXHFh8164emc0UNaoAuISbVR2tllXvB8AWyIeAixzp74j6NR6A6AdAZyZfVmdnMlfSeeLDGmft3IXdyFoFkCLuddaW9xx3KI5i8By5rsBY4B99I4KB3NjtvTHZ3RdXYEukA3OH+ttCtZxhSyMSYAjAVgWXVZFIwKsOXiAp8Jhxez1e6YmFZD5XknyprPm0qXJZISXQlLHyZ0NbWJ2wFIFj3huP8NO/kN8rd1/Xd9GeAoQCSKtOMTPm2WcXXuPOkEckU7SLd5Gh7LTnOHLhqlk3RW2hVKEi//DciPYDyDsbD9p5vV6PJLJFdfECsHNFr84jBeYKuLeJRgh4FYaTyQvgTuVtIF+tAVKnPz2xgK4xsQxkEwPyAd+I5/Jzw0DYi6st5vXDhn7624Pyhuv75OXRhEZ+LOVWNjK6FsXvBSMjIyMjIyMjIyOjqxza7tu3T44fPy6f+tSnpK2tTdLptPzsz/6s/Pqv/7oMDAysTy+N6lpNVMB6unNXA5VXGsOwmAPYPR/Hxu3nLTU3CwpTBbzy8JFJhVONwJN2AJwAxGbPX44zuXGsxDAwP+dm0pLIlmX/YDsRqgrRcOvt39zRdC4fOTKhFsUdffH6vC62FxxYTLEtjvMzXgAoMA9HMvDO6QeFuJyCbJC7vQPt8rM/slnbwx1KZuyEJy+kp9JOtWpdBLKdvnLsn37SplOkCziMo5g5xh1K1ux4Iq+AGNen5rV67bXAdfye12yvu4Cd6AcH4B6uOUsBopZVlTCBs6qqjCeLCoprXVAYGfaJTKUosuWRTR0R2dARkRdH5mQ+U9KsWtqJh/zSHQvqHyIbAL4ATreAlBQRYz4aC6m9ZmeP3scckpUbDvqlNx7UyIHNXRE5MpqQtB1OW9dquJ5myloA3qrtBE4V9EMHHJ6lckXHO1bMybbemAJWXJ+AaThrsVTV8SbzJQXudhaupbDbAbbVGhjGLc5YgLX8reyZVIeq7chFXtcAHMfwK1WZfEWeOj2jOdAG2Br9sIp4GSMjIyMjIyMjIyOjqxzaoo6ODvnd3/3dte+N0boUC1uuO3ct4O5ScQBrDY7d80EeKXRtOXOzHOC5FgXZ3GCXOfjQF19UUArAtISiWFntN8fuAapugLwUkF6sn25YPK35tJa0RfwKim8Z7FJoengsoRDQRxpCxc4zBY4G/TbU/tB912sbQNdPPnpCgST95JobBtoX7KFG0M3f6He+8pLtKPZ65PycDX7DAX7t2HmvAEGWLRr2S28Mp3Gvup6bzR3758x0RrxZu5AW7uB8pSohj0/Cfp8UK6U6VIQhAi7j4YC2398Wlp62kDpz923qlI3tIXXiEtkAPMa5+uLwnMLL7nhQ4SxRFeTOEt8ACN61Ia7gGNcu847rlHkiK/aWLZ3ax4lkQYJ+Ox4CBy5/41BL5BMKT9WJ60DQFoXIeJYzjiDF05pYWp33FdomcETb5BVTLGseqUVS1NIgFDozn0Bq+qzZsaVakTXrQnuFclXmshRaY3/a77E/nYJliO5T+E7XoDamV7LSxYocHku+osG10Q+/8uXFCxUaGRkZGRkZGRkZGV0l0Dafz8vBgwdlcnJS3VduvfWtb12rvhmtUbGw5bpz1yJ6oRVIbNa2c6R+tSAXKIVzFciFO/Ldd24Vv9erEMs9N82A8XKB51oWZKMPxBQABC3LozBsV2/czkCtgU73+iwA0n7IqrWgv/SL8ZNPq3NQoZhaRefQDTxxhgIabxrsrGXFFuXoRFImUwWFcpoLGwvKYHdU7trRo5DVvUd4DhEK3zs5rRECXbFg03zfgyMJLR5GFu1MuiCPHrFjJlibwe6IOjJxf+7oiymkHE3kJFsoi7cqdWBLITdnDzCWBw6OaowF7t6eeFBhpOVEKfi8ClYHuyI6PubA44ooaA/51cELTANukq9LvwCht27t1BgKipQdn0hpYTX2B3rNzl4t3nZqKi3Zgp0FDNieSBSkFLPk+o1t6mAmWuLYRErHQJGw1+zslny5qoXaDozMq5v5vr0bZEvXNvlf3z+r88q1GzpCks6VJVUo10Eff9FnngW8Z2EoyOU4hxvjGlC5XNViecyvwnePvZbAVEAz99bvITKiYunc+rxenT9czlUcug0NA37LRYC0R3Nyie9gnzhFtqxaJjHgtjPilbnc6mGOunybQOxmcucMX21qBWyZQ+YaGG5kdC3LjnsxMjIyMjIyMjIyMrqqoe03v/lNec973iPT09MXvYdzrlIxboz11GqKhS3XOdoM7rZyyLZ6vRXwbNb2pUJi7seZyv2Mi2JMze5vBYyb9XO1c7wcabG0rqj+nODY3NgRkT/42f3y6JEJ+dvvn5WTkykFuXdf13tRH1+/u1fh1uh8XgY6wgpoAY5ASJyYjI02AJw/vs+OJfjO8Sl9JtcA3pz1B+4pdPN6a8ffPbKhA6gZVrDYuEeYD2AqOjGZls2dEW3fLQfsnp1OqxPXBqFVdebOZ8uaFUvxMHJlJ5J2NMLmjogWjcP9inMXwEufnbln3RjTVLoguaKdMxsNetUFChBtjwakNxZS6sd8ErQASARGwj2BDOlCRdoiAYXi3zkxJYlcUeMQzs6k5YWheXXbHjo/X8u8BaxZ8uyZGYlH/OosdlBbsSLa7wxfnJqR3rawup9HEwU7ZzdXlsePTckdO3o0hoH2t3Rd2Fe4p//u6SGZSOWlJxqUVDat7mOgMnAWbe4K63qMJwr1vFj9qwmoBPDGwn5pDzOndnE2B8Dr+16PeImfcDmPbbdsVQvvnZxK6wdusMRmHNR+rqUwP5MvXQRUNQu3YimkZhxc2yoawEE97rd7o36ZzZVXVAANAMozW2XpOlC5UeQNc89ij3E7nddS9Nfjaf7kkM/ul+G5RteC+MDOyMjIyMjIyMjIyOgqh7Yf+MAH5B3veIf83u/9nmzYsGF9emW0plquc7QZ3G0FVlu93gp4Nmt7Nfm8bi33fq4D+BRKOBPT8uChcZ2DxqP3bgCN1jrOgXYeenlMXZrAHIDhI4cn7DfVbmj/7UCsVnNJXME/vnheowKIOQBCkoUL3ASi/fUTZ+QzT5xRALi1J6bzDWglqxSXLffkimXb1alH5S3JFSoaGcB/mO/ujyuU/dJzw/LY0Ul9JvBuPJmXvrbQRXDV6WtPPCQ3bu7Q9fj754Z0jG2hgMxlSgpT+9vDMpksqnuVddvUGZGBzogCRmIEGteQuS9WqgomAcDVclXjDjxS0UJfXdGgumc5zs/6AmltaEsmrW27tQFvUMeIsxhoyeEA2w1ckjt22O5YnJBcC+yl7UjAr+7mqqsoGdDT67HUKb1noF2+my7UCrd51AnMPPNnJp3XtQ36svL/fu2wzh1zuq0nosfox+ZzUizbkQweMnXDPhvChvyaOdvKTRr2Eynh1UgDQPu27pi89rpeeeDgmDqFAz5iLTzSGQ3IBJnBTIELVuIwxm1LnMP+TR3yvZNTi4JMYCLxEcTxNoOafJ+rFVCjCJxVc/y61cwlzE5PFmxgu1zBhVlfxu0URmtUs+bo93JyZteLmzoRE80E/79KjcNGRheJDxmNjIyMjIyMjIyMjK5yaDsxMSEf+tCHDLC9QlpNNuxSzlGnzSNjSYV5iWxVj4C/eke3fOyfDyvoBMQB+ByotlLg6gbHmzrDCuGOjlEoK6vOSGDSSrNjl+sg5joKeXFsHYpFwSDG63Z0NgJo1MoF7MwX7lEAXnskoEXElloL3gemAvrIlwXcEW1w/UC77OiN1eeSeIfFxNwDbMlPBYzOZIryg6E5BY08n3GWKhU9Zg8YjYV8CjeZnwdeStmwsAYhS2UbUoaDPoWxTiE0smgPjSa0gBWF0oCSODRv3NShfTw1lVF47OxDIC+O3pdGEnJwZF77hYOWB/W3h6Q9zHir6jrc2RfTvFfaJJf24NC8PH92RiFeW8ivYBko/PL5hBb4Ym0B0FyP69Pn86pzlaxeAPT2XntvDnSGxe/xytBsRuElzmvuIZIhV8rYWawewCdxGpbCT2Dxy6MJhbj0pVIWaYv41M08kcgtAI7kt+aLVQn6qzrGgN8nnlJZn6GAOOCVXLEkJyeSki9bMpMuquMYwHtsIi3n5zJSrlR1vyOfhwJwNsTc1BXR9SeCohXIwxn9hhv6tc+4hkfncvKVH4zoc4DVjCse9qvDlxgGXMbuttTRmy2poztbrEhuEZqpxeF87PXqolBToyO8jN2nReSKpbJCUoW8lkhHNKDPSubt/FxuAOwCLJcj+gFMv2lLh3SEA/L9Uxef8FhMV7OJ1QBbo2tJ/G4xMjIyMjIyMjIyMrq8WvG/hb/97W+Xxx9/XHbt2rU+PTJaVGuRO9uqzel0XoZnc7KlK6IA778/fkqPy1O86kDuQkanG5iS+0kxLXI1gXitwKUbHHMdzwOsQZqAXvfv37ji7NjlOoh5nfxR3IiAMYBho6OzEUADVFoVVPv4148oXAPypfNlzVT99vEpfQbRBIvNARCVI/K4R3FVli3gXkEOnU8owO6K2nB1MVjP9XPZks45R9M9FkewPdLXHtL4AcA0EHAqWdS+b+uJL3A2A+Y55l93Omr2qR2xAEQGugHqcYsCUekrx+8B1A4gB6x+9UBS5rIF+adsSb70/IhmpdLOZLIgfW1BdQDjBn3jDf0KFB87MqnAnPkfmsno2rMFpjNFhZkAuq8eGFUgDQA9PZlW4Go7aL0SCABUA+rUxb1r57baWI6vcdB2RO2ibkBd4g0ccA0IjwZ9NqgmJxa3qter+9crHv0gwefxynSmIKlcWT/A6Ij6dd6ZW/oDbO1rC4vHa6kD+NbBToWIOFK9Xrtg14vDCckW7Ynl/ytlSwuR4XieThd1zpknHL+AS5/XkmyxLMVKRQv9pAvllvuda85Mp/XrqRRRDSV1j8NVGRM/R+pIBlQXLkQ7LHDGVuz4BdzFzeIE7Fxcj84PkHc5YNHn8ejvDDKTiZAAtG9sD6vj99BYUmZSBV0fnsd+bxaX0EwwXvY3zuA7tnXLS+cTLV22l6qrOS/XyOhqUJBfckZGRkZGRkZGRkZGVze0/dSnPqXxCN/97ndl//79EoCkuPQbv/Eba9k/owZdaqTAYm3iVuQINcCL78kv3dodbZrR6fxN1ADnf3FvAmKXA5HdYwDK7O6LL7hnuW7i5WbPch0wlf4B3xpdua0cu60Kqj1xclqBoOabimhBqUyeomiVJefgnj39CmeBfkBw/pDHSg5sIluSfZs6msJnnvvVA2MKSXFWFksVdewCEgFsN25ql391+xZdD8Do5k7665HBzkgdJNMGYwJ+KWispTJwfBuQt7kzptDOWZuxREGhKZStJxaU27Z11x277I1DNYcqc8HXuIUp+AVMHuiIaBwCa/v227fUxr5B/vTh43ovYJBoBKINEH0g0SBTLMuLw/Pqzk2oOxNgSmE1r0Y3vPnGAY1eSOVKCnOTubIcKySlKxbSa6IBn0J0XLDA1w3tIZnNFtXhC7QV8UkyxzM9Mp3Ka37t7v423fPAVSImCuWKxiV4PAHNIAaydkT8+uFE2apKNleRkM8jM76i7ns6D/AjFxcY28j++OAjFg5oTALgG0BtuYAn8P/sdE6GZnIt81pRiVzdRF4dzw6cdfJQuQ038kBbSAEyILiV2LeAU7ruPE9xjP0Ziv6MsKZN82G9tuPY/R7xDhvawjKVLupaaVE1r0f35+hcVoEtv1fY41yjOcq1gmfWIlm0GklRtXSPjMxm5anTtht7raXRFAGPpGqw3cjI6GK9/lV21rqRkZGRkZGRkZGR0VUMbT//+c/LQw89JOFwWB23uNAc8bWBtuur5UYCrKZNXIjFiu3Wo22O/OO4BYbh1nzzvgvw1AGmgFW/f2UQeakxXKqbGOj7tQOj9TxWQCnAsJUrl68ZMy5ToCXz0Op6xouDcD5rwy/uo8gXoCrk96lDlYxR2jg/n7+oeBtwEujm9Iv2gL5O7ABQtBmg5jqALZAU8MdzuQy3KG7Ymwc7dY4cOEu/f6LB9UuEAcXCni2RzWq3q8WrvDbcxe1Mvx86PKkAH/ck1zmFym4a7JD7b9qk7eGW/vpLYwr3AHU4WnFk40517yFiBpwYBRzCAGpycU/lShpLYEc02Fmo9JLn4sBWGFy2wTQwHEDLMfsHXx6TDC5S3KUWYNV2SPKcLd1R2dkb0/xYZ92++uKoxiwQAVGpRTZ4PV51mhJPkciVJZEvyW1buxQmA3aZGp41my5IOkAmblihNeMmjmETheCqljpK+Z2necnlqt6D29aNIJ3fjsDW9ohf57tmDq4J56kNOMuLAEz7SpHZTEmeOjUjllQ1T9aBnvosjX7w6FwMLfJzqDmrmpHrlWrJBshO9ir7nzVlPZr1hbECrDMuxytw/MD5eY2jIJaBKAR1AhcqCo8jARzOdgGxGwfa5Xwip27parlSf0azYlzOs3nvnw+OrVvUAe0uBsuNjIyWXzDQyMjIyMjIyMjIyOgKQtvf/d3flY9+9KPy4Q9/WIGR0eXVciMBVtOmZrRuKmnBql19MYV8ZIsu9qxWAHYxt+xSY7hUNzHA9s8fOyGztaxPO+PU2xL80i+clsQC8FwHWrYqqHYwGtKvbQAbUXfn4fGkFuriqP2RYlLGEjnZoXmpC4u3PXxkUp/BXPEMwPjxiXR9/tyQ0z1vfE0MAUANmsWPHj9/ADEydckgdsbSapysJRB+WzdO2ZSdp+oRzbG9/6YBjXfA9dkboyCZX0ElYyJaAHD7t98/K48emVTnrgOAiYnAAUt2KU5svnbvIaDdZ797Vp3Fc5mibO6KKKAens3oWLhOgWeBwmgezS8l2gEX6dmptMJZjvT7vRXpiQd1HO1hn4JBrLmxoFdzZk9MpBQKx0M+jVJw5o4MYQBtwLKLcGlkgTpjiZQQ3R84X4Hlt23rkj968KjMKkS23bPeiqVREC+OzOtcA+ZxE/MM8n6Jx4DTAmKBi4zTwbbqZq3FJvA6Tl1LndEeIUiC6wtEJHguxBAsxUV4n7GrQ9r1usLrqqXRFzhTmavxpO1ibqagV6Q3FpTueFBdrLNZ25kLHAdgak5vgwC6/W1hOyO4Fq/AtTruclVmM7n6ffOZosJ7fkaYK2I7cDLTfo68Xaqb1Vyu9H0xWH05smmztYJqRkZGzfXtY1Pyc3duu9LdMDIyMjIyMjIyMnpFacXQtlgsyjvf+U4DbK+QlhsJsFZttnrdgbK4Eze2h+qQzgGwi7lllxqDGwTjYqXg1J8/emLZhddw2JLHCgyiIBZfNxbOamxnuaC4FXD+D59/Qd2GFP0C5AEiG9tq9oz33b1zQXs4T5vNG895+vSMFlRTByqwz6pKumJpBAAQtdn6uAuFAWVxAhN5ASWjcNS77tiiz/zbJ8/VC7UR2XDr1i4FvOdmMuqgBakRHQB8dCIgfvste+qu3m0t1ubXPve83kcuLnNyfi6vYyfWYLA7Kq/b3afFuoZns7rOPGf/JopO+TUGgsgBq5bR6kkU5K6dPbquY/M5LbQ1ny1IlkJlIlqQ7YkT03Lb9u763OEQPjOTUVjo9VoKlolHmEwVpeqxAWrQ76v3H5d0sTKvGb5AdE9tLtPEDVgisZBfM4nDfp86eoHS9BEA76BFjUxQh6iNbokH8JarYlmWRgLQkPZHLHWuOgAZMM5+dQNKWqJpu3TchaxcBcrAVz+Z0DzZzorlGeRS02eiDKyqaCG5iN+roNRBk/SDMdJ3XK/Ob3MKqLXCl4D8X3rdDvmbJ87KbLZ0EdC1x2vLXeSMnwdiPLweS93n7vZr02FkZHSVa2ju0qOYjIyMjIyMjIyMjIzWGdq+973vlS9+8YvyO7/zOyu91egq0HLzYpeSG8oCt3ApukHsStyyzQAj4h5AHqAHuLSSqARySCuVqhY+AhjhlnzgpVTLyIXlxk60As7AwcqwSL7IkfCKOncb22r2jMb2gNOt5w0sB3ykMJf9B+dnqWypi5Z2nLkE0JKdSybrI4fH1XE6mwG6iiRyCQWzAFvu4Zka3SB2YTWclEQ/7Blo1368kJ2X01MZ7QGFuACN9KvZXDRGU+AuZT5wYgIUAczk3JJvyroCbJ85M6sAEYBK8bInT89o/iv3qSuV+IGSHUPx1OlpdePeu3ej3LKlUz756Al1e9Lm0fGkumrpM+0y5nQBd6e3Fm/glbffPijHxlLy9JlZdd7u6otq/i4uc5FxuXfvBnVJMw4gs7pFXbEFOEaJIMB1yxrfubNbnjs7JxMpYkR8Ci+dezqCPo1jINIAMOumsQBOrqV4HPECpQoOag8kXoG8I/gvTmqeD1xn3wB2HactqDYasrOok3m7kBnFupgTO9rCvj8e9EmxUpBCLQeA/0/kXQ+quV553V/LW3BxVwl5RffD90/OaG5vwGuDX2dXOk7dhT+DIpFaHEW1SnzExXm/7p19qex2Ldq4FnXh4wIjo/XTBB/qGRkZGRkZXQXa/uEHrnQXjIyMjK5eaFupVOQTn/iEPPjgg3LTTTddVIjsT/7kT9ayf0ZrrEvNi10ulF1J9u5ifQIoAmxXEpVAViywEEjJsXVAHOBqsXZWGjvhBs39bUGNCsB16Q369f7NHREFie62lvOMVvPGs546M6PAlNxVgKPf41G4CQB1xuPMJY5asm8BjDhd9XqvaHEw+o6rE1D55eeHZSKRk/F5snVtqAZMnMsUtA8BjrMXKwrAgZSTibw9lr0bWq7lZ5+64NoFtvLHolGPR6MYPnDPdfX5+8z3ziiwBUTSx1KlKMmcHZMQ9nskXbCk6gUAeqQt7FeQGvF61AVMf37shn75xqFxBa2MNRqwYfnL5+dlPleWthBzVZVoyCe/+NodCo+nMyW5YaBdhmYyClQn00XN0/3is0OyoT2i4+htC6oT+PD5ZD3zFQG9mUfiFNhTpyYzCkmBuABv9jBzaxc9Exloj6iTF9cwDmlvja7xF+B1jmd7Pep6BpbbGcP2eJkPwCmxAphYO8M+zdOdxJFs2RDX77Ndt+GgX12ywGHHhatO8ypRBSXNDa6H37ZQtQZsgc9OkT2WjcgJ+kWBOM3NFZGuaLDmMObDA69mAzeKPrD2OHRnGNsiz7bWAFC+EoFtfS+9gsdvdHlkYds3MjIyMjIyMjIyMrq6oe1LL70kt956q3596NChBe+5i5IZXZ261LzY5ULZlUDQxfq0msxcimVxXN39bK51Z8c29nelsRNu0Pz3z86oC4n/pNVj6X6PvO/1Oy9qbznPaJw3XMdfem5YPv3tkzI2n1c6Q0YqUBMXI8C2Kxasj4f5AKQBNIGAqXxa4qGAbOoMK0gFWoYDfnV6kkf7xWdzej3/A/oo7GMcxbKkcrhfvQrtKgGfbOgI6f0ULXP62bgOxGVQOIyiW2i6XJCuWEDXlnt728ILxgvM5PlQQWJOYYvEFgBnb9veI5PJvDpu8+WKjjmdr8j+Te0yky3IF54dlrfePKDAlwiEHT0xuWEgLk+emtXibnbhNxtkMmeOq5g1I093MpVX0EpRMR2/ZSmsVBAeDcqO3picnEgpDF0oS2bSeXUxZ4pljTpgjoHbAFNiQnpiISlVbVfs63f3akbuP784KrmqHeWAGCsgRLNhCzidLwh3uLsQl9Scsf0dPn0WHxBUKyJVwK7gwK3IW/ZvlJfOJ+TIaMp+hgsQEy+xHDHUdA3Yaj+s2r21gnW0xhg1W9lTA8uVCwXF3HKcuMRWrBVQbIWN3DnCbsj+StErbbxGl197BjqudBeMjIyMjIyMjIyMXnFaMbT91re+tT49+SHUWkURrKUuNS92uVB2OYDSmZ+jY0k9yg+oAgK5gar7OYBHwB/9pejU+fmcZowulZnLc3Alau5muSr37ulfcQG3xrXEpeqA5kcPjytMwm1Jfimg7lILxDkQ5pHDE+pcHU0U1NEJN6P9O7Z3yc/cOqhFwtzzT9+IQwBI4sSlHUyfmzttBynAFY0nc3aeadF2QMYCPkkVgZw2uPOJR+H2YHdI+uJxOTAyr3O/rSeuhcicfdLokibfGGep47RlfQCgPfGQup8pGIa79wfn5jSiwF6bC4BSi3fRv0ReweCP7xuQD977Ko1/0MiH+Zw6h4lW2NIVkQdfntB9g4iLANYDGllvYgqKNaBIPIYzPwdHEnJ4dF7mMiUFkZojC9j1225e8mqZJ5zST0WCUsGxTbqBJRoLwJji4aDcv3+jPHMmKF89MCozmYrGVPC5VSJfktlsUQuVxcJ2Bu6/2NkrN23plGfPzmoGraNaWkHL9XeL5wOxt3XHZDSRk0yhIjkdu6VF3oiB8OGEXWPbpRasq2f02iqS7xugkBrz5pXriKTQiInljWWtVa3tc1zOxUVyeY2MjFanP/iZfVe6C0ZGRkZGRkZGRkavOK0Y2hpd/iiCtQTFbgjqzosFZHHEH7i2HIC7FgXRnPlRp6WHgkqWgjA38HQ/h0JiznweOp9Ql+mNmzqaOobd8+AGvIBIINNK4XkzOElbPJuj7HbaLEfnvbKxI7zi9hdk0c7ntFgYz9GM1HJFwn47FxQo1RENyG3buuXtt2+5qB3mjjZwpva3+yVXLEss6Jfr+uPyE/vsueU5gG+gKMfyi7X8VnXK14pi9cdD0tsWUrDJugAagZn37V0IvBtd0gDa99y1TWHzeCov3dGgxgIA5hnHxvaw5tCy98jjBULjVPV4vBp7QKyAk4HLvLJuTl6v03cctps7wtITD8ozp21XbaS2J14YisqOvriuAyjPWRdiMhx4D/gkFgGHrdeyi4GVa2MkigDwS8TG227bIhPJvEJZxgAMZI7oF1CXn5egF1hIhISlsQaMZSpV0DkDJs/lSvr+k6en5br+Ns3sJbZhtWKe8MGyByim5na1fv2lMQXP9CHk9WiBtqZtrBCkelrckynZxc/4OSDrNxao9S1M3wqXHZxi/rVTflemqzFawP5dcsGtbGR0pcW/I2zvjV/pbhgZGRkZGRkZGRm9omSg7RWOIlhrN64bLrYCsc3yYp84OSVnp9Ny4+aOywaY3fMDCMPZuNgz3dfjzE1kSy3jDtzzsBTgXWlfaaMjAjjt0rYAhk+cnNG17Ir5tMDXSkV/gYMvjyY01gCMtLU7pvAP5ypOUFywEFVgIHm1PK9xr/A9Tti/fiKnbldSagGyOIN399v/wc0+YF987+SM9LX7FWRytL/LssQrHgWqHO0npxQIyN+D3RHpioYUaLqfubkzrM7eY+NJzTaNB/26lhRmowjcXLYow7M5LUpFoS0cvrOZoo4HpyjxAKGAT7b3xhTwjs7nFRpHgj65abBT32OO3T8nAGj6/9JIUpJ5wgFEi1wBaccTORnotPcCQBhAD5HDQcv9Dx2elKl0Xu8J+7xSqNpxEbGQT7N1Afvt4YA91yLy/3nz9Rqb8OiRSXXQkvGLQ/0Hw3Py/NCcdEUD6uj1em2oXjO+2hDYErFq8JY1Bfgyf6sFisRM3L69U3weuw2KwznRCYg5ioZC4vGUpQilbtIWc8vdFyU+LNEHp+BgtSFXVodr4dwuaJzEdLqoWdJXAoIyNp3zFd53tQFbpFElJm3I6CrSaqOUjIyMjIyMjIyMjIxWLwNt11HLKca1lm5coA0uS4pQbe+Ja+7mYiDW3b/5bEnBpgMlT01l1NlKRinuQyAl0G8tIx6WMz+NjllAH9cDEPdt6tCCUM3iGVYCeFfTV+bCmUunj8stYtZM9Jcj7rA2jusD5CA37/0X2xWK4Vw9Mp6SXKksA+1hhZYf+uKLCmibuanZBzhbcbOOJ/Nyejqt+wzR799+y54FfQbcAjRxnR4cntNj70BCACsw9XW7+5oCbwcko2S2KAfOz8uuYrwOygN+rzpNtVBXsaxQ1nYmeyVbtrNTgX3bemKyqy8ub78tJg+yh2ezGvGQzJW1nQcOjmr/WFP2AG0Qv+DoQk6s7dYGdv9gaFaRYyzolXe9ekt9T8SCfnUQhzlPX2K+q1KpejUT965dvfLc2Vn5ygvnFfgyl3fu7NEoB+IX5rIlG8hqfi1xHhUply0p1boS9ou0BX1SqAA5Kwp0mSMge0fEpwW8ptIXHLIoHvRKpmgXgXML3kxhsHwtYjaTL8uh80nd9xTXYz2OjaXU3Wpfbxdw29Ae0nXDrUybxE+wQvGwT53QAHpyZl1pB4vKbgMntv1NM/MnezadL0qmgINZ1kWdYb/M6wcazbXc8VwrcgN5I6MrLeKJjIyMjIyMjIyMjIwurwy0XUctpxjXaguDNXPo8r0CylxJDgzPS8WqypauaMu23f0DjHEU3YGSZIA+8FJKptN5dUqSH3psIr0oVF6pa5j3AUvfOjqpMQCAoUb3qBtq43Akm9UNalu173aAwveILODYOi5Ninu5xVj/9OHjCqh5nwxV4NZy15I+OPPP2Pl7pXCb+fpqrqTgrT0SUGDH2lFUDQEQk4WyRhoQC4DLtFytylcPjF3kpmYO04WyHlEHZFGEC4gPdASIutfHmWNeI/KBcQM8yXoFouLABnifmkprJm2pXFWY74xvNJFX6Moee/DlMQWgblDOMX7AZV+bX92zxDuQSTubKuizHecnYJECXk4Mwse/fkSdwNw/NJuTF4bm1AEcDeKK9aubE6DbyLVwFaM/fMdNGqvQWIwO8B4D1gJBi2V1wRI9QVuATn4GaCMe9stfP3FG9ydjxKmLq5fYCcC6z2PDWDtT9oL49r4bB3RcX3lhRMeuSNsSeXk0pVATEGvV8mzZm73xsHRaVSmUbMiqrueoXSxuPHkB8ALSiXaYbAvJw0cm5dYtXfY61wrMEYeA03Vbd0QhOPsCcM8zMPjS77p5cwWAk3sZV6v8XR23iJxPXOgrM1xpOOrPnLhqnK1YHZGgZjCrqfoVIMftbWR0NYifPSMjIyMjIyMjIyOjyysDbddRy8l9XY7btJmaOXQBb1t7YrKpM6Lt8fyuWHBB226wCtgEDMAG9m/ukJsGO9QJyXUATKITOM6NU9LOgfW2hMq0a4O2aXXlHozZ0HOx8dM/2uWoNm3bTk/vgnvoJ+7PbKEih0cTMjSTkX/7o7uWhKJuB2i6ALgqya7+uB7jdjJSHQFsv3FoXMdJjAD66E/tW9FaNq4HEI2xLQdgM3cAaaA1ADka8kvIH9BMWXfb5KoOz+W0CBUkDDgKAG10UwPrjowldRKYN1/Yr8AW6Io7FOctgPjp0zN6ZP97p6b1Pvyvr7+uV37shn6Fgm5H8zSQlfgEr2eBY3dTR1j798yZGXXAtkf8cnwipXCZ/NbeWEj2bGxXqAyUBZj/m888ox8s9IX8WriNAmtOlrGzP9l/HVG/3LWjR546M6P7DphKFq0tyN3F58eByg5sdTJ/aVOdui9PaEZtRSydW/J+6TNQk4JlQEnax63aFgooDP3cU+f05wl3LLmtDuwEYsZcDlnApgXM9Xq0bQD4l5+3r6WXxaolp6ZSEgsFFsBP3pvJFHTeNrSHdf3zxbKMJwpNIwy04Jbfqz8TuGXpKxENlUpVob4CWp9X9mxsUyD9g3Ozki9bUqnYY8zO5lry2kbQijRzuBbpUFmBhbaRzTJfl+rPJ9biWnWfriY39xodqtEPqb78/Hn5+dfsuNLduOq0fft2OXfu3EWv/9qv/Zr8xV/8hbzhDW+Qb3/72wve+7f/9t/Kpz/96fr3Q0ND8qu/+qta6Dcej8t73/te+fjHPy5+/4V/RX/88cflQx/6kLz88suyZcsW+chHPiL/5t/8m3UenZGRkZGRkZGR0ZWWgbbXgBu3mYsVqOV26AIbAWHAus5oQAa7YvIT+zYoBG10GzpwEScqYBOnJMAPcPaBe67T5+GmPD6RVpCIWxAIthhUpt0nTk4rrHPgRGMWaTN4uZTTmHseOTIhQ9MZyZerkilW5G+/f/YiuNuoixyg1epFz3D69tjRSR3ntu64jCVyOrcrFfM/ncprHADg8JEjkzoPy4m9oA+ff3ZYCrWq96lcWZ2duD6duQPSdUdDMjafUxjHc05PZ3TNAafusdF/jSSIhKRUyetc7ey183EZHzCedbL7aKlbE6cr93z3xLS2j/O5XK7Kj9+4Qd60d4P8zlde0pxUjsHTF2cO4eLJfEkzWzWywBLtIxmvg93ELlhyy5bOOsCW41MKJydSec2O5QaKjzkOZSemgf4BqEVmNMoAMTd2tq+ljl3a9FaIKbgwl5qBO52RP3romK4rBcUQewbATa6u40Dva2uXJ0/PSDpfrmeIWji+qzXHa6ksY0lLx4FjFeerj4J59KE2+IjfI1mgaI2w4SYGvD56ZKKeK1uPbqgwVq8kfRccpzyTwmsAaQAy87iYo5UPI4DJgG6+iYcDMpEsqMPZAZojs1lpC/n1DwDXqsVQOHPYKNaaa/21YnezWXs+PLX+OQ7gZsK0vJh71oGVjGmxcS1H/Aw7EQ3Xmq7BLhsZLRC/p4wu1rPPPisVPhWr6dChQ3LvvffKO97xjvpr73vf++RjH/tY/fto9MK/R3Hv/fffLxs3bpTvf//7MjY2Ju95z3skEAjIf/kv/0WvOXPmjF7z/ve/X/7P//k/8uijj8ov//Ivy8DAgLz5zW++bGM1MjIyMjIyMjK6/DLQ9hpw4zZzcuLkA6I6LlrgHZCPmAOOpeOO5Gh9o7vTDUmJDkDNYCbwDJjTFwvJDRvapLctrE7JZlDZydLl+CTAD6iWEFHAu1Rm71JOYyefdXQuK12hgMRDHLevLgmE3e1SyAvA1fgMp29EEgDMTk6lFXASkbCYHOcmxakQztSZdFEhI+ATyF2xLD2ivpzYC/oPFOyIUBSsooB8Y3tYYwC4zwHXFBaDgtFHoCVALeTzSKm6cGzECJApO5MpKSzq8ns1g5f3PvHNY7pOkaBfvF6RQtGSEtDRsqRoiRbjeur0rNy4uV3bA4ziTCbuABj51Py0hII+6YkFdR7oH3sFxyfX4hLmT19bSAY7I+qS/avvnNb1xwXOmvBeXzyk60h0A5D028cm1f1LLMFgV1Tu2tUjcmpGM3kHu/wyOs8c2bBUj9v7PerkJUog4MV96tM5BGpmSnaMwQvDc9pv2uNZNiS2ITM/LwOdEdnSHZXhmaxGJdA49wOBU/mihP0+ddkSEwHspu+2q9YGt8DMWMirDlZcsUGvR+65oV/jLXDPNop2p5OFBfAS0KrAmPbK1UXBZjzk0/01nysqUO5vC+uYcWAD5NkX3bGg9m1kLqfuaubHXTisUeqorcU1sOcA6k+cmNRcWruIG/EOVstIAubCW6PmzTJllwMr+YmlttpSLtpSxcBPI6MrpVu3dl7pLlyV6utbGLf0X//rf5Vdu3bJj/7ojy6AtEDZZnrooYfk8OHD8sgjj8iGDRvklltukd///d+X//gf/6P85//8nyUYDKord8eOHfLHf/zHes+ePXvkiSeekD/90z810NbIyMjIyMioqbZ/+IFlX3v2v96/rn0xujQZaHuNqNGRSvbobdu66i5anJ44KG/c1KHvk/va7Dj+ApjJsWePpynMdIo+8TqFmJaKBgCOAW0Ajh6/T167u1chqgPsmsFLLdRUtuEw7tT79vZfBIUZA8W2RuZzCi3ThZICv6WAsNvBfNeObn0fZ6o709aZ0/tu3KBH53FSAmDJtHX61wwK85rbuUnfKA62pTui4AyXKPAacMq8EDGwWOwFbQMdGR/3EVngdja7C4sxj4wDYPvmGwc0a9aqWrK7L16/lvEdGJlXcEcGMOCReRjoCEvI75FMUaRIfEHEL0E/kNmj59kBgswBsQTu9QKUAVxZX/ZZ2bLk+aE5BdfAT4A3/eXvgNcj1/X3aAwFwHYIqFu11AnKuICkRCX88ut3attkL784PCfpGlxkS47N59WtS54tjtij4ymFi47zkw4F/B51XQIWdR8DDXU/k5/qVQDOdaO4fhVwezRWArcrTvQ7d3TLxo6IvPH6Pnn27Kz83xfOK7xm/QCVAOI9A20ylyuqU5tYCD4QISdY96WfaA+P+Lxe6Wv31+MwKFR2YgLX9UI4i+gvcBe3rsdrLYCUmjzgKqy24D4cxPymJu6iiKu3Kkkct6mizjfzGgnaIB8XNCkOgFsg+1LuVgeC80ELUHgiSXwCLmZKxdn9bRbT4Ia2nVG/FknTomuyMuE8Jt6BDxhw+bq5baOpdq2A7TVq1jUyuqIi195ocRWLRfnc5z6nMQb8XnaEO5bXAbf/8l/+S/lP/+k/1d22Tz75pOzfv1+BrSNALHEJRCHceuutes2b3vSmBc/imv/wH/7DZRydkZGRkZGRkZHRlZCBtldQS0UHuN+fSRc099QBrE7RJkfEGVAobKlsXDfMvPu6XnUWjiXsHFvnvZUWR2vM0t3ZG5fffsseHctiTlrGRnaqA4cBZs1AMxDy6dOz8mxxRgtRvevVW+pAGEgFJD03k1Gw6cyh28HM3JBJisPTnWnr9I3XXrWxXeMh3HPaCgqrM9bl3ASmemrgmTXKFsrSFgkscD23ir1oLMhGuxxD5W8yV4+STVtz81aOcPzfniMAF0XCiA4Y7IrUj+IjgP4vvnZHve/OvNPvm7Z0KUBlPbZ1xxSYPXZssg4dr+tvUxdu43odBALP59RVGw74tagbTmNygvmTzpUlUyzJ3oEOhd7M8ReeHVbnLPED+SKZrmmFg/ft3VCP6vjS88MK7ByQRpGutrBIIldWp/H5+bz2V4t2eW2ID+Tf1htXFyntdcdCWkQsIj7pb7O/JmYA5yrzxbF6HKi4oakvx/z8yLYuedttW+TzT5/TWA9gLjPo9dh/cx/AdmI+p//xrc9pC0qm4FM4Ddvd2BmWyUReplK1eAXyhM/OSFU89biEBcLFq4EUtisXQK4QWnNqPfphxNBc/qLbbKhqU191E9fgNRAdOMs+43V7bXzSFfXpBwb0s1lbOMu5T2rtcA/79wdD8xpnoe8sM8sgX6zK1u6YzPmLGtuw0giEbLEqpTIOco9+oMCcALAvTiu+IGfsq5UBtkZGK9f/+v45+Xf32B9oGjXXP/7jP8r8/PyCrNl3v/vdsm3bNtm0aZMcPHhQHbTHjh2Tr3zlK/r++Pj4AmCLnO95b7Frksmk5HI5iUSaA/VCoaB/HHG9kZGRkZGRkZHRtSUDba+glooOcL8PgME1iYO2WfYt3wNtAGlALdupWbkIgq5HcTTnetre1hNXZ6zz3MUye5cLhwGA05mi7NnUof0B3DpAmFxet+OVOWscX2Pe7KmpzEV929QZ1tiAX/vc83VISuGuZv1TZ6zPW39uX3tIemIhzdFFZO968xVp6wxoUTbgY2Ocwk/efCG6gr8pmsUfADNrPp3Oq8MUCHxqOqsuZKAyfXj97l55cXhenjo9owiQHGOO95NBjBh/s3m3i3GNKdTE0Xv7tm7Zt7ldDo0m6q/hFuZ1oh5watJ2MleS8URe0jk7bkFhaQ0A4lzmuZs7PXJ2OqNFzv6ffzigc8k9/AGy2dEJPnXOurOVydMFGHINzlOgH4W8AIH0qSvkk1193XJuNiuJbFGLYrFW+ze1y0vnE5IueGR0Lqeglb5QeI+ierhnU4Wyfo2LmcgI4LazB4ZmycsV+eKzwzKVLOrzeTZFu9pDXv05OzOd0Z8p+sxemMtm6+MmTuKWzZ1yUBKSzKfU5QrY1aJ3XgIFLhaOVcy03J8H2IpIbyyogJh9zQcLrUQ27Z07euTxY5MKLBvbB7Zu6AhLbzws44lsHUIvaMNju31xPrPzwkH7uRSr07xgWbkYUyTgk3tv3ypffPacjCdbj6GV7Ppmljgl5uzvmkujHgx1NTK67EoTIWO0qP7mb/5GfuInfkIBraNf+ZVfqX+No5Yc2nvuuUdOnTqlMQrrKYqZffSjH13XZxgZGRkZGRkZGa2vDLS9gloKWja+D0hyCoU1CvCHUxXwxD04WAFlboC5lLN3pcXRlnP9YpC4GRxu1sdW81SPDahQZCyuGZ7NwC9H+N15s8DIxr4BSxsjD27d0rkgN9iB1w4gJ1JhIpnXHFCg4NbuqOaffvXAeXUd4vDkebHzCXnixFS97aG5rAJHYgIYI07iRw5PaOGsE5MpLS7FsXeyWslfBcg+fFjkTXv6bZem384uvXFzhz6/VKZQGQ5cu+hcq3nHXJnMl/UPx9ofPz4lz5yZrbs0yWjF7Qu0xcn9wEsphcfDszn9EMBxk+ox+GJFYwacqAnWgb4WS1U5PpHSayhSlS8R90AOryXtYZ/82J5+7Zuzppu7IpICGlar2jYxqoDe87NZBZXHxlPqDMU1y4cWfp9P7tjWrbmxm7uiSkBPZtM6J7dv71LXNPP6ml298r2T07ouRB2Q1Ut0ATm4uDmJL2DNWQvG7rZ20ncgLXCXnyeu5bX6PNaKiuHmZc9xs6cGE7nM4xQqaxDXtIftX7nci3OYWIgiBbbEYxcXayGeN5su2B/gFKt1cMlcApABtm/ZN6D7ljEDZhvF+lP0DSc3/WRemgHglYoIEFzUOJ4nk8VVwd/lSOe4xeuG4xoZra+28vvWqKXOnTunubSOg7aV7rzzTv375MmTCm2JTHjmmWcWXDMxMaF/Ozm4/O285r6mvb29pcsW/fZv/7ZGNbidtlu2bFnF6IyMjIyMjIyMjK6UDLS9glrK0bpSx+tSEHgpZ+9Ki6M1Xu8AV2ILFoPCi8HeZn1sNQ9O3i3XO27FZnME4HPyZgF0uF8bdQI3rgI+uzhWvlTW69y5wU5/eS5H62nP6eupybRCy5OTKUnnyd0NysbOiA1Dy9UFcQrAN4Ai0JVxPX9uTv8Av3Kliro2iXIgNgCHMU5GHKlksu7ojS0oREc0BBB2aCajMA4XLnLD782dYQV2XyG3tVKVTR2A0pLC63LIL9Np22UL+PSUqwqQcYuem0kr4AQel8mK9Xk0P1fBpMcjB0YSei0OYZ5zejqtWa8zZKlWLc2Y9Xttb6pdcKx2zN+1pps7ozKfKUqmWJG2sF+jNcjLJVIB8SwiE2JBn1y3oV3duo7b/NvHp2QyUVBgBwT930+e0ziG6VSbumuJqGBdQKhRBqHtVdVV+50Tk/Lk6Rmd65rRs56bS6Yrc8uewsGaJ4+3AQwSL6DfW/Y75YoNFB3wjNzF1u1YAhyxNgjWLF6/V925jF1zblvAR5/Po3s4GPDJq3f0yEsj8/pBRNUFYcnuxUlNETgtptYE2mqmbg2+w5qBxhqjewngNugX3T8PHBzTD0WIjaiuE7XV+WvSNhEpbqhuZGS09vpvP3fLle7CVa3/+T//p/T398v99y9eyOPFF1/Uv3Hcote85jXyB3/wBzI5Oan3o4cffliB7N69e+vXfP3rX1/QDtfw+mIKhUL6x8jIyMjIyMjI6NqVgbZXUEs5WlfqeF0K8q40q3alWi4UXgwON/aRaAMcrEAmAGVvLKSAFZck87GcOXKO8DsxEwCvP3/0xAKwTAQAR9uBqxmrosfod/fHF+2/u6/DsxntH9/DywBpADqKkAFNXxiak4lUQa/h9VDAp8f1KRbGeGYyOHPtQliAQq4LBrwKSYF7OC2dQmS4GnGj4pbFJNoe8Su8g9Y5tU+ctQBoffHZIc1zhS9WKlWFyuqWtURSVkmfiwCIvPbc0JxGIKgDVTNEPdLfHtLrCuWKHq3X4lHpojpzgbZOMTXgMcAW4brlq2iQ+8PqzCU/+UJO8Yw8fWZWPB6vDHQElR4CHRmrguHaPCv29XpkeC6j8Rvu4myTSbs9rs/q88rqVqbg2Ya2kJyYSClI5X0ygnNFJ96A4l5eiQR9dVjqYD/yZQtlxlrVtWgGNYlpwO3Mfjk67hECBhwnKMXJNM84V9S4BSdTwXFJ6zyLqOuX51N0jWe1gpJcz37ggweyauezJe0/bUylbGcrYxyZz6ubeUt3TF9vVIT9ZFniwxFcFR0jWiw/djFxH3uhWJucwjqD01Ys2ABbI6P1FT/rZOZfP9BxpbtyVYqMeaDte9/7XvH7L/xrNREIf/d3fydvectbpKenRzNtP/jBD8rdd98tN910k15z3333KZz9+Z//efnEJz6h+bUf+chH5Nd//dfrwPX973+/fOpTn5Lf+q3fkl/8xV+Uxx57TP7+7/9eHnhg+VWhjYyMjIyMjIyMrk1dFdD2L/7iL+QP//AP9V9Wb775Zvlv/+2/yatf/eqm177hDW+Qb3/72xe9zr8UX2v/AruUo3WljtelAOZKnbsr1VpA4cY+AlidYmVnptKaG4vb1J3futQcuecFN+35+ZzM50oLwDKu2t39MUlkyzKTKdrO0ErzXGDHxUqRMNyxQMpkriyD3VHpi4clmZsXj8eqFyGjMNejRybkfz91TgEdQA8n6VOnZqS3LaxQGYcusBI3K3CtIxKUwbBf++mAXqAo8wIYhc4yD0QnbGgLy+uu69P3RufzC9aCe4lQIC8W8G0f7afQlk9yhYoetXcElMXRW83bGbMAXEAi116/oU0LzeEQJuahLRyQdAF4aMmXnhuWhw9PqLsTB2rE79V7LKsqPq9PrwXYArAHOsK13N4xee7MjIJy2iCnGPg8MptVsIgcFMffANZdvXF58z4b1Dsu6+fPzSo4dVyylWpVs3Ap0IY7F5gZDvrUQe1EAThuX/aXA6Yd6fwAUD3EFTSPOUC98aDm9wKGWTPGrbm4zLPXoznGAHPiGhiPU1yLvF6KvZ2fy+p77DWF5padD9so7qFdYPljRyZ0vtzXOb0H8BPngON4KmVn/DaK+IVmYHi1yFPzjVvEXLLXWDOeuVZIlcgQPsRoNraITyR3cd01IyOjNRA/w04WvNHFIhZhaGhIgapbwWBQ3/uzP/szyWQyGk3wtre9TaGsI5/PJ1/72tfkV3/1V9U5G4vFFP5+7GMfq1+zY8cO/fdbgO8nP/lJGRwclL/+67+WN7/5zZd1nEZGRkZGRkZGRq9AaPvFL35RM7c+/elPa9YX/3LLv4hSXdc5KuYWeWHF4gUX2czMjILed7zjHfJK11KQd6XO3VZqlY27UijstIPTFKcr4JR77t3Tr45MCk7hpqRQVizo16JcHHlfKRR2zwsOW0Co41h98JA9DuBwdywsHiloAauOaEAeOjypztfGOXW7WIGnwMo7d3RrXMBzZ2cUwt2xvVtdoxzld/KGAZOA3du3dqmbNeT3aYExwCFO3Hwpo9dwz82DHerMRQk+rLi+X27Z0qnzApwjvoAxAI2Bw41z7qzFmem0gkQ3BCRigMzX75+c1rlgGEBd94l652tco7s3xOWmwU7NU/7y88Oa/Qso7YvbBdg++9Q5mUoWJKtwmSxb3MaWju/evRvr/aZvjJW5Ozg8L3O5cv05uGAZU8hXVsibK12oeE08xI/vG5DffsueBQCdffeZJ85IIleWslR1nEQSKMD1WJoXi/N0c0dEzs5m1Y0MRCzjSK6BCJ5PcgJTFMYFq4DYp2toNbG92rECgHWfglmgOxnAxFsAn6tWVfcqezmRs+MLcC1Tmqxay8dljSmQNp+dUuc3ULcVb6Q/GrnrEZnLli8CoABdnUN9tu0gbuayRbxXuUxgky6RRcx80a+1SUxoDmxR3gBbI6N11QyZ7EZNhVvW+bDRLSBtM5NBo7Zt23ZR/EEzw8ILL7xwSf00MjIyMjIyMjK69nTFoe2f/MmfyPve9z75hV/4Bf0eeIuj4DOf+Yx8+MMfvuj67u7uBd9/4QtfkGg0etVD2+UWAVvPdlbq3F1pDMJKofDXDozawC+VV3i1qzcmxzoicv/+jQoIcWQem0ipa5IiUoA2YgtaQeHlzA1RBY8cHpdj40l1lYL4Tk2nxe/1KlzMFst6DP2uHT1a1KkZGHY7inFVbuuOat4sTiQiDIB6E6m8DHij2kdnvsjJPTmZUbctYPbdr96qMBc4vLUnpm1v6Yqqm5T4gO8cn1owl85YbKcq48yoexU3L+0BuXGU/vFDx2Q2DbjjWL2d4eoAPUDzDRvbFa4CppkDdYriiKz9N2ej93QuU1SHMvN7/02btM9OvwDujBmXbKFiA0gKsAEaOfqPG5VIAKeAHtDciZBwQ2L4aJJj/5Wqxg6QY8uCAzh/Yt/GOrBtXON3vXqLfO6pIS2YhsOW5zIegCF7hPmgUNzeTR3y/dMzMpnMqaXVAlLXcl4ZN9ERAb8N1/nQgH394gi4fKG08JglOm9EL7xwbtbOv/V7NBJD92G5Iscn09IVCUg85Kvl2FraJwDu2em0pHIlSeRtCHsBITcX6+ZrcQVtAoSBw1Wropmy7OVSobImBbqWaqMOjRtERi+Tq+/XYhQuNcWgFnPcVCYgwchofcWJDSMjIyMjIyMjIyOjVxC0xTH7/PPPa4VbR16vV970pjfJk08+uaw2/uZv/kbe9a536ZGyZioUCvrHXT33Smilea/r3c6lQOBWMQgrhcIcqeeovxbqKlfl7GxGgadzDPNkDQjahZ08WmRqz8Z22d13IdfUPY6Pf/2IPHFyWtrDfoWSuHQ5Qu8ek4LJWvAr4IyvOUZPpizQ7113bNH5Bdi2cgs7LtbjEyktCvX40SktQuYUeKpULJlMFuSXX7dTn01hNuYLV+opT9bO4PR4tC+NAJixOXPYai6bwXHG58BcAObwbE62dEUU4AGqNWqiUJausF9+7IY+OTOdlblMSI+wt4cCCpkZP4XQKCQFbKOwFO7TrlhQzs/ndZ80xlHwzG8f96nTNl+sqGMXhAaI7G8LqxvVDb6duaN9gKNGKtQyWQGOgM+KVRDL49HM163dEbljR3d9/Rr3P4D1V+7eWY++IIaC2AH2lGbMWiKHxxKyZ6BD58MJqCUTOFeu1vqLy9YjPbGg3LatU/YPdmhxrUggqREJjugjUBcnLhEXpyZTUqgshJuMK5Ur699RyLPHq65cYDIwm+cBt5P57MqdqziiXXTSrndmSSjgl8GuqM71wZF5SdU6tRjIXA7Q1cxaitAtYpPFVc1cN7YVC9kF0hyzsv5seG3XsJGR0bWnqdrJDyMjIyMjIyMjIyOjVwi0nZ6elkqlIhs2bFjwOt8fPXp0yfufeeYZOXTokILbVvr4xz8uH/3oR+VKa62KgK11MbHVQOC1ysYFFHJcnSIecExyXofncjKftY93E1mQLdqgCwyIY/P+mwaa9o9xkLeKk5H/uAQCz2YKeozfPSYnE5f5+4fnhiTp2PcsHIuLR0i4s2w5zo9bdzZbUvBYh1Ycn/eItIcD9Wc68zU8l5VowCc3b+mUUMCrkQHOe0Q1DM1mNfrAKbLWCp63guPO3gAsAlyZL7JkEzmP9LX5ReZysrk7Iv90YEzp9Y6+uHSVQupsxg36P793RgujAdvIr4Vtd0eD8rrdfQuiJNxwn7+ZawqS4YomVsDrsWQ8UdToBpy3d1/XW58/rgVsU5jMLqRWlZlMWaJBG0FmC2WFgN5asbPNXVF59MikQuNNHWEF/edmM7K9J66uYebQcfHS/g0b2+STjx6X2UxJYSnzwRpxz2BXTF67q1fhNJmybhVKlqTyJR3/TKakY/P7fOItOW5YPlASde0yV9zvAFvdPs7ftS+Aq0DhtpBX93GpcolOU0vEy5palhBD7I53YE6J0nj9hjb5wbnZJZti/skW5ucs7co0bibm2ClU16h40N5f5+cvhjk4kZkLQC1/q9N7jYCtt6Fw3Fo4io2MjBYXcThGRkZGRkZGRkZGRq+weIRLEbB2//79LYuWIVy8ZOa6nbbkjF1urRXovNR2Gp21HG9fKQReq2zcjW1hOTuN0xaoU5W2sF+jCcgDRe2RgOzqi2nGLHm2eze2t3wWrlyOoCdyRckVqwocgU0c7W/m9GSsegzf59Vr+9pD8sYb+lsCUbeTl7xWALO6Ujn27vNIpWaBxKWKe/WO7V0XzRfOXxy8PO/MdEYBLZEGuEWBntAtnMZAdOT0g2cTJfEY14jIPXv6NabAgbpumDw0l9W+EScR8NuAet/mDl1nJ/bh0aMTtbm4sObvu3unwl5czsA8O5O1pEXbtPjZbFb75/cvhPv04e23b5GfvHlTfX4oqAasAxozWCAnIJrx007Q79EMY5zT5Ne2hYm/KGhEhlOwq+LBDZtTBzNrBOAH5nIf7R0Yntc1u2/vhgVzAJR/1YZ2OTqe1J+P+SxuavpSA7hEKNQKkrnF91Pposxl5+TGTe1y96v65bsnpi66DhA8kyq0hJ2Mmz3AffQ35KcAml2o7FLEntnYHpKZNIXLLlBbr8eOggDEkqnMs4hLWOxpOKfv2bNBvn5wdFFoC7CNhwIS8FX1Q4rGiF/WhZ+xSIAoioV5s1r4TkG3R4otoO9q5Qa2zvdGRkbrKz5oMzIyMjIyMjIyMjJ6BUHb3t5erZw7MWFDJEd8v3Hj4iCQSrzk2bor7DZTKBTSP1daawU6L7WdRmctIAi45YbAALAHDo6qwxH92A39CuUcSOiATQeUcfx/NTm9b9q7QUaT+Xqm7baemPTGw7K7P67vX9cfl+MTadka8Grf3rK/dfsARmClA+QAp0QD8LobbLvnDwcoLM0pktVqLh1g+88HR+tOSsAYeaX0C0jpZIv2xENyzw398v/8+A31e5kjoDKQuFK1NNMWdy5AizxbnK7XD7QrEG0Gz7nfKfYlHksdrO4Cae7CaMlsUXNs+9tCQo/IyCUP1rkGaAzA5PlPnJjS+YkH/breuFmB5PfduGtBfix9cYqfsV+Ar8+emZHPfO+Mxkn89K2Deh2Al9iAMzMZ6W0LyVv2DejzvnVsSud4dC4rmWJFYR/glT7cuLlD/H47JkGTK2rgk2fB+pjfDr9Pc41xTuPOJQqA7GEcl8wrxdF+cG5Onj4zq/ML5GdM+VLRhqWWyInxpM472a+4nPmAYDa7MCRVc3arls4Dc4Nr2w0EYaVOYTdiAfJNcgOcomGBWlYuMR0aA6FZv7Jq0RbAOkv2sL5gO2Zpt1CuSCLHBxYNru8mYn7pz+HRhH7osNR1G9pDGllzfi6nH4C4hzCfK4vkmt/PTynzcKmw2q2uiF2McAlzsJGR0ToIV72RkZGRkZGRkZGR0SsI2gaDQbntttvk0UcflZ/+6Z/W1zgqz/f/7t/9u0Xv/Yd/+AfNqv3X//pfy7WgSykCtlZFzJrFK3RGyfHsWgCBedbffv+sHrkulCry/LlZeel8ol4Maq3ydQHBuDHd7k6ArQNPWwFq5uMfXxiRLzwzLJliWV69vUeP12/tiUoyW9ZiU+GQT5235KJyfJx76Lt7HZx5tZaYa77HQQp/srNSbby4pSusYBi34cb2sLzzji3yMz8y2HSOplN5jX7Y3BWRsUROoeRgV6Re1GsxBzV9cYp9ISIf3FDXvaYnJ1MSDYm8+cYBjTQgKgKoTq7tG6/vle8cn5aB9rAeXwekdsUC8sLInHz3xKSEAZ3FsjxwcExjKBi7M1dOXu5DL09ohAD9PzKWkr98/JQWC8PJO5Mpak4w4DCTL8s54h4qlkwk8gqcGWuhXFKo7POR6WtJOleWTLEkhYqlUIAsYOBmCNBZK7BFQTMql6fydtE0XMoAywmroA5cn9crxVJF9xJQGA10hjU7Fogb8HokVbTd2hQJA7JrJbImigTJoAX2l/XvYsVuT+uiqYvWhqJBCp21coFaIh1hcmYjUihbdhG3BmKrhbmW/ZNiF/Oaz9t3UPSMMRCBgVs5kbVjRID2SrJrj7IDJ+xvNReaYVuicwwAJpqklQCuAGiA7S+/boeC8e+emFl2f51837V0wQLj14IBmzgFI6OVyy7caWRkZGRktD7a/uEHrnQXjIyMjK5KXfF4BKIL3vve98rtt9+uMQd/9md/pi7aX/iFX9D33/Oe98jmzZs1m7YxGgHQ29PTI1erloKty4Wxy4Wjy2mvEQ7irGxsSyFhxc4VBUhWixX53skZPaIPGHPax+V4Kfm6Tiaq3WfPRX1uBbq5/i+/dVImU3b27URyVG7Z0qku3YEOj0RCPptdWZYMdkflmy+PK3TGBet+RrN5RY2vMV6AIsAItyFz0xMLaLGsGzd1yH03blgQV9A0Z9Zv58ymcyUFv8zrgZF5zQnkiH8joL77VX0KSrkfYIk7dYbxeiy9xw113WuKi5aO8jXRE8QLnJ5O6+v7N7WrEzkc9MnJqbRmxpJXS7YvkNKfL+t/mJPz6+SvOvPv9A+HJmMhmxe3LPm39BkIeEoLx1UVEuKItaqWuoiBwMBVAPpUuqDALBrwqrt6LJkTn4fj/fZR/FlvUWkfwLMMIPd41L1LVAJ7D4drulhW1yuQkkxc5tPn80qHx69jp9Db2DyF1Ur6vvh9CtdDAZ+6UsuViwtnOeK6nX1xnbdSJSSJWsEweCggFojJ+uPCXQwI4kKtWFl5682b5cXhObtQXc0FHvQRdRCR+VxR5wCH70ogYsDrlUq1omCVn2HHecqe0qgEn+0a5sMFjwfHOW5ca0Gmrrt4mIvzXhiHR9SRTKf5OSeOYiUGV65l6tdCdtlAu721aHKp4mpGRkYXi9/fRkZGRkZGRkZGRkaXV1f838Lf+c53ytTUlPze7/2ejI+Pyy233CLf/OY368XJhoaGFJS4dezYMXniiSfkoYcekqtZS8HWZu9fgJgXwOtyi48tB+4uJ16B5wLHcLbh6MPh2RH1a+4q0a2LRSus9Rw1E/MBLATaAfIAhYC0t+/fqOMCggKacHoyZxx1PzudlRs3t8vBkYQ8f25OAS4ZsLThnldAJK5YwCSRALiAAdsHsa8Sy1EsS1vYJz2xkJxP5PV+Ig7ccQWNc8m4aAuYWK7iFrQkFrIBL4Wt6L/jhqVAFON7/uHjGjcQC9lHwm/e3KluZKuWaeteN/eavn53rwK30fm8nJvOSLFUlbDfJ+dmMnJ6MqU5wTdu6pR2HJq5ko6bNWbcuZJVO9Jf1YzZZvusJxZU9y7zT186oz51kpIhi/uWcbEmZNXeMGBnED9zZtZ23xbKetye2AYH+PK8smVHL2QKJY1VcI7mh8N+uWVLl67VZCqvzmCFwjXICaRkLoF5FD8DRPIcHLIzmYK69oFzfOhAn3SMNcKJC7SZyIvNlcpyYiKtEQz11y3WviLXb4zpGgHcAfj5WpaxIyfiwSkSNprIqUOYMcM8FGaLqCuZvcM1uGAZw3Kdt06sgZ0je+Eu2mIt+VntiLBOeV0v9uaZhrV0AC59DQU8uvYL3ieT1uuR2WxR/v65obrL90rIhvweBfg4ii/FJcsHJxdaNTIyWq7454WRkZGRkZGRkZGR0SsM2iKiEFrFITz++OMXvXb99dcrrLnatRRsbfZ+M4i53OJjy4G7y4lpALQBuP73U+fUsUixrK5oSDGHu33iDBqjFVqplQt4uUDaLe7n2HyawlUVG8hdv6FtwbhwqR6bSGub/MdmRzRgA9yTANy0ZqlSFAsHJJECOFEBnjhyiTEA7gBZAaVkvCL6dmTMhpOASq4BiNF/4K7jjN1ec8p+5/iUxgYAtwG/e3Il+fbxKZkp0m97/w7PZeWbL08o7Hzk8Lg6CcnjPT2VUYfpW/bbubAbO8LyBz+7X/vzpw8fly//4Lxm/n7w3ldpxEWzNaWvOFxThZICU3AV7lPyaHEgv3Z3r/TGQwqpnz07V7+PH62R2Zzez5icDxLYlwOdEZnOFBQO0qcbNrRpBiwAlSgC4DnuUf6MJ/Kalcs8AxQ5xr+lKyI3DXboBwBAOOAZexoXVzjgV/g6kczLfK6kYBlH8NNnZhRyAhKtxgxainFRJKctJKl8qVYYzquglCJdYaIEqnb7zLnPU1EAy/Q3OkztPF2vTKeK9XgAt4plG26PzpPvWtLvm8kBt/xMEOXAXqE99lOYjAUP0QZeLRfGtY3jWkx2H+14hFZmUeIg7rm+Tx47PqWF2JK5vM5Tq/YAys2Kl2mEQr4kheqVjRtgnXBJA+xrW2ZVz8NhS650Ims79I2MjJYv/lliZGRkZGRkZGRkZPQKhLY/rNrUEZZHjkzIsfFkHQq61QzGNoOY77t7p16/FBxdLtxdDlB9221b9Mi/U4iKtgBWuEqd9smfXW6GbStH7Wr6TP9wQf7d00MymSpIf1tYdvXH5EvPDctoIl+Hps6cAT8BizwDiMX3zO/wbEYzewHAkEqAEE7ULd121izjBUy7QTcQ86sHRhUszmVLEvDZx/6BqQ+8lKqP7+nTM/LSaFKzaFn799y1TeEy2bh6rL1cVbg2kSiom/bGTX26TwBlkaD9Y8nYnjozo7EPzrwAbL9xaFyBMW5i9NGf2td0TbuiQXVw4g7m2H9HhOP9uFwt2dptFyhjbMwlgBuoSg4w48ZpzLWsGXLvSyf6gOJpuJV5/a4dPTKTKuj8o1K5Ig8dHpOXzs/ra8wPfQFuz9YALP3gefbnL5Y6XImCsL/3yESxINPpokJsHJaNsgtx2Uf5aRNwzFri4AWQomjQozAYWFeq4nauSNmV5eoGjurwra07ALpRJE8AoykE544aaJSn5uRlr00kcfxaEvR7JOSjL17pbQuqEzpbsN2rKzmpz2OJaZjOtHC9MRfZkvzTgVGNvGAci7XPe62ybRljq3EOdoZ1TdmrjGlkLr8u4JY1Zn2B8G64zfziUFan9nKhtxZzK0quBWw3MjJqLf6ZZ2RkZGRkZGRkZGR0eWWg7TrKdoXVAEENCi4VVQDcbISYyy1itpzog5UA1cbnAgKdwlkraR81g9G0ByADzJBfem/Dsf9Wol/vevU2LYDl9PtLz43ohO/ojV0Us+BA6QsAN6d9SObK6jgl15XvAWm4V49P2Fm9DphunGPiFXDC9teO+m/ujCjsxR3K+CgA9ujRSc2HbQv7xbLK6iwFctpbwkaFCkirVTk6lpKx+ZyCKMAjeanEA1R9Hjk/l5PeWEjniXHg3AXYDnRE1IX62NFJuW2b7YZlXpyxfvPQuDpccUkDTclxtfejR52/fW0hjWQAcAPEgNd4LbkGcNkXD8quvnh9rYhuwAkMWM4WytIeDYrfD6yzXbTn57IyqY5SYgA82g+gYTKXFOJf62DUsgEc60BRMcSTcU1nS1WpnfzXHFZ1w1oi/RROm8rY91PcitddP0sU4wKABvy285n2cVVCMPl+sCsqNw92yPdPz9ScpXZ/KIYGSAXw2s5aohaIsMCRaz/DDS1x7hIbsRiwDXpFNnfbgH0qmdf2EJmytLe3N6aub4qxFUoX3l+J0oVSU0jprUNOj7rLNaKhyXVRPx8aXHhvNQiTqIhoKCDdsYC6t4mkYP1WK3+LnFmF8jUwv0CWyNbumH5JYT9cuEs9nnXLNsRAGBkZLVPmR8fIyMjIyMjIyMjosstA23UU7s4dffE6qAQKutUMxq4WvLZqbzE5gO8Lzw4rtLtrV4+MzOVaRhSstH33c3BQvnw+ISOzWemKBXVsPBvnrgNIcaI2K+a1HBAMTETNYhbc/aYvHNl/9MikOmQZN5AV16d7vpsVBHNcyGSs7h/sqD+LiAGuBfbyPbAU8Ar8S+XKWiSL/97lfuATrktAJpAN2IRzleJfFDsDGmtBr9rZfFyjHK93cnN5H4ctwBbXJ/DTccMyRgfAn5vBOVuWm7d0yuauqEJxaCWRBUQIPD80p/1XwF3L2NXIkVpRMIC2+4MD+umQs0LFUpcw9wM6AbdEBgCEKZDFKVrGS4ZrpUkUKkAaF28k4FNnLI5NmgeKOsf0+crnsQMEcHjZENaOBqgQc+AlbsB+Dn0j9lqLcNUyY3HWAvWJTbiuv03bcIAsYiQKaYGsXRHxikfBebZU1szYtpBP9w1ZxIWKnaMLgM+7cm6bqgYXt/fEdQ+UqiXtF5CTNnDf0gcgP7BxNcot0gUtAleLeSDjt5myZTvb1XEjr1QMEQc5URfkXjM+PsA4O7O68aBWhcEA3d5aHIS7txRJy5EvHQksC9gaGRldmvig0MjIyMjIyMjIyMjo8spA23XUao7+rxaMrkYO4CuUK5rjKqdmpLftwlH81ahZ1ALfA7BxGAIS923u0NdxegJdB7si8tSpGYXHyHGNrmR+yQgFKi4117QL/IRX4bLVvNWqJffv31h/LvPvjON3vvKSZsoSJ+DOGKagGfm4TtzCO24fVAcuTlggKMXbcCCWLUuifk+9eBjXfPfEtMJI7gWUhimSVcuEvWVLp0YynJ5O267bQrkGs22HMxm2AKxvvjwm0aBXdvbFtKCVA6ndIPtAbl7OzqRlW09c7r9pQN9nvc9Mp2QyUZB8saJr0hcL6fzZ4MwSj080rzadL8mB4Xl59sy0Au4bBjoUGn/90JgWeaPAG/ARmkbfGbNlUZisqG5YYB6vB2ruXY7h48jEDb2lO6ZFyRjrP704KuOJnI6jVLbdokQIAAdZBwoR0j/GBXBmXoGzcT9xBTiQKbbm0b4AnIlTIA4C4M16vjSakKlkQQgK4H7gnzJgSyQS9MmuvjY5PDqvwBN4S3QF60KsBSC9P+jTKAzaZc0Wy3AFhs6ki1KuJPUZWoCu9h73nJrOKIiMB71SXuvaXrhs1cltSXs0oFEbjYXSHK0W2CLuzBSr+uEB8NR2ga8PNWUvNOsre4n4kDHiJ4wD0Mho3fXGG+zIISMjIyMjIyMjIyOjyycDbddRl+KaXUqtCnutRA7gI49UZEZCfl8dXq5WzaIWeA5OTnJbHWcqfXWgK8AWeMox908+ekLBppO3utz5vfu6XgWFY4n8grluNk9usInIZ+U1rnPm0RnHmam0TKbymvvaEQ5oJuuvvmGX9pGCZk7cwn9//JSMJwsaO4DzFLhHTEChLHLDxnbNB6ZdxnVbLaoBBy0xClOpgsI23L5EKvz4vo367Ol0Xh2vOAkdEE3RsTt3dtdB5KHRpMJEwDOOYGIMAMozGTtLNez31WMngOSAUWBmIl9WlyRO1937Y7JnU4eURuYlHvTrOuAqffbsrMJKKN18rqxuUdpN58vSHvLrOEMpr6QKlVoRMJGQz6vwFJcpzlnAbTTkl954UCExERGbOuw4CQAwTubHj03KRNLOPQACUoDs1i1dCgOZI4pQnZvJaPuxUECjBlK5ksJsWD3MbmNHRDpjQZlM5qUnHpT+eEiBOc+cSuX1gwkcuo6j0+F8G9rD8tabB2RoJq3jA/ryXPrMvDJ/uGbHE9M6bszGPNMpgtYoAGO1XFGXK2vaDGVyX7Jgv7+UaikPS4JJrgNs03ecqfbz17dEGHEI/CHagLziWlfX9IlNoozrMu5aI6PLJz7sNDIyMjIyMjIyMjK6vDLQdh21nq7ZVjm0K5EDTXGSUuwKYHup/W2WXet2xHKkHxD354+e0EJt9+3tly//4LyCQkRcwfdOTtcB6mJgejnz22ye3E7Z4Vn66xOP11N/n+eQCUvEQL5cUQA5mbABKkf5uZ6IhBs3X4hIwGELsOX7I6NJLS7WFvJLumiD0WZ9BigTV3CwOi8xjuJblhwdT8l+nMh7+3XuEptKCmp39cXqUQ04knGa4lg+NDqv+ahO0TAALeAWoEyWK1EUTuwE8/2l54dlbP5C0Siybo+Mp2WwMyJ9bWF1FAOPcYPa4FW0KBkwECQH2Oeatohfnjk9K1PqSrXb4i8yend0RPU6YCvruaEtrHPlxCw8fGRS83+JkwB+l6sARksyRbuhvrhX4SfX4tDGvcq+QUBgCqzRbxyxjI3+sqdwXjLX3Ec8AnuaI/TcC3R3H8HXTFstZuXV9X769KwWDSQKIRz0y7Za9AODI3sXgBsJenSOKL7mxCw0yp4mSwEH87eYGlsAiTRySL7nJ8OefVuNMJj7gN0OtAUs21EQVX2P56ynGdWZ12b9NzIyuvbFz3ZjvJORkZGRkZGRkZGR0frLQNtrVM3g6Ho5gR23KmCSI9ccaadAVzN3b7NICPdzgGs4U4F2XAcoftcdW9RhC+AD9NE+R6+fP3dEnjg5rUfUD0ZD2sZKoXKzeXrf3TvrTllfzZUIBGQsvM9YAdlEOSTzRc2k7e8Ia7/444zz4Mi8RgRQ9GlTZ0QyBTsH1s7o9SiwJeeVQmC06cQufO3AqDxyeELGU3bOKgCYjFgAJf0AajIvH7rv+gVr8PGvH1GgTQEzXJ8A1VjQrxEHTtEwnMa0d8NAu7bFawBo1gCYxxzrMXriC3xeqYql0QQAzIlEXv/j/Odfs01B7NNnZiSXqdagqkhfW1B+9tbN2j/eA5q62SXX0CdiBfrbIzoPgO5sqSJPnp7RXFkKqx2bSEok4NdxHDpv59ECQZ2mJlIFmUhN1gBtQPdEtFpVEBrwsT/8ksr7dF16YkGdfxzKZOQCyxlnwOvVgmuHxwrSGfFLuVKxIazT11qhMVzHzCvxINGQTwoZuzDexHxWIiG/glfc1UDb/lhQNraH5fBoYtE9V8/LXQEpheuTwUvxtsbbWiQc1AUorVSqkqqth1W2pET2AvB2ieeuJWg1wNbI6IdT/AqiqKWRkZGRkZGRkZGR0eWVgbavoLzc1TqBHbcqx/WHZ3NagOjYRFrfW04hNfdzcNgCbJtBVIAkULSrBuL4Hsg4k7bk3HRGfnBuVj7zvTMKeX/61kFtd6mYiGbz5HbK4lIlt5X3yX7lfdrCTcox/gMjc3r0m4gDHJ3AamecNvjNajEk5ibo86nb8d13bpVvHZ2SM3WAW66DU/r62afOybnp2nF8slmDPumKhXReWxWD474navMR8PvUmYyb9bW7OxT2UkxtiDEWKwowXzqf0EgAjvfjJnVyhYHLuE5TharCar+CXBytOQXH6ZqjFd082GnD2VqROIqlffPlcdnQFlIoCNh1Qz8tClYRmc0U5Z23b9FsWyIWjozZEQ6HziekWgUCAzULAgqOBrz6TDeXJP4AlcSSXLEgAX9RgSz7oi8erhdTY64ZC5EGAx1hjQOYy9oJsrz3jUNjUixb6pb2WBQps+xj/HYSg8JQYiy+c2Jae0+cQ6lS0fEWK14ZTxZrRdHok+1gZT5x8wJziVp1g1ktmuURhej0JeyvaqzEctgtawToXSxewHndHavA83jDiRFY4MJdxoOdawHVjIW/nTEvBYuNjIxeGVK3vvl9YGRkZGRkZGRkZHTZZaDtNaBmYHKt8nKXk43ruFVxOnJU3V0Ya7ltLAVRyXqlDVyNRBAcHU+qE5Oj+eSUUviIPNYjYyn5y8dPqSsREIxrFQhKNXscnhyNf/vtW+rPazVPTj9os689pPEAZMk6YJX3GOONmzpkc2dEc3jd918Av+0KUg+M5ITi2hzrp4/AWOYFKEjf+BtHJ1Ca7wF0zn8IFyqWFvqiCBzAFseuEyHhzuHFcTyftd2yPB947fQXKAyAOzKeVDerU7vJqgJoSzqvRCwAnitVO+1Uj9GLKOTNljzSFQnIxqhfvvHSuByfTEm2UFbIGQvaDlYKbL08mpDxGK5nAg2ac0FycIl5+OhP7ZN3/4+n7H3j90qmWNbxEhsB3AWEsl6tWAAOXOIGuIc2yPAdTxS0mBk5qhs6Qno/IBXoTdE1vgeqnp7iQwV7r1IMjOu7YwHJFwGyPNfS9ukTo8AN7PfYrmstrFap1oGmzhUF2jwenffuWEimqgV1INM3nocbeD5T1P0E/GX9N7RHJRoqaGZxs6QEgLcTEwmAx0HcHbfk3Mzix5AjAY/uGboKaKUJb209V1tfjLEFPJZ4fV5dH+IWxubysta10i6HANmmOJmR0drK/p1qZGRkZGRkZGRkZHQ5ZaDtFdZygKc7l5UsVhyeAEOux6W60gJkK83GdQAneZlO1qjb3buSfN1mENU9BwBbjQmo2hEAOEoBMAGvDfvoA0faHWD88OEJGZrOiNfnkXyhIp/+9kkFdc48tnIT8z7j+NbRSQW299SKdXE9f/OcR49MqmPzho1t2mZjsTJnXiiSRQwCBaum0nmNXSCeALjKfHEvLtbvnpjSnNm5TFHdpFZVxOMH3HllY0dY3rJ/o8LVF4bm5PHjkwr/+B/rTc5tVzSkczFaKEsv4LMWJsr46NtEKq9g1Q3uuGQ6VdR5ve/GXQp3x5N5O2KgUFbHKJmtZda1asPjp05PKyQHdHI/BZ+A58BLsncBy6xBIygDYEaCAFWPPHZ0Um7bdl529sbUYTuVqigAtmqQmGv5GjDf6og+z2bdgdVapK22H3i9WLL34WBXTGMQcPcyx7v7YhpLwfdgcRu28iyPOqEl6JWoRxSc8xp7DwexxmRUa25bsRZAVvpG32nzxTzOaxu4M89hv114jfZog/XOZ4raDtEQAN1NnVEthpYt1oqP1aAi7bIHaAtX9GzWkh29MYkM+GVkJqtFvprBx1zJumi+fD5cwqsjlU6cAz9D/W0hBePVbJUtvb5huOsk4wg0Mlp7HRhZPBbGyMjIyMjIyMjIyGjtZaDtFdZygKc7l5XiWUBBjvavtgDZSrNxHdBKzqy7MJbz+mryda1Wc3A+ocfL79rRU3cgbumKKsgEFHJfV8xXB8bkpJKtapUBcVUZms3KHz14VB54aUzu3z/Q0vXLa8BUjoDz3IcOT6qbk7nkPb5WKBfwyuefHVYStKMvvmDOnfEDQsnABX7iqO2MBGRbd1THkkiSE+uVWCioMGlkLqsRBcBSYCh5qwD4e/du0DYpNPbAwVFJ5UoKdukjMRE3DXbIW28ekAcPjasLdKAzIv/r+2fls0+eVUDIvIzN56RSy5915tdbc5gyf+/9zNMaO8H7OEuBfABNCnsBL/vjIe0jsNAuKma3gdu1UsHt6tFiaeQaN3KxQA38WrW8XQDmHzxwWAt3tYeJE7AzeGmfeQXGOsfwmwFbXgcaU9wNoO04jePhgMJwT9AnO3vj+j7RDjiBKSA2lykohFVQa4mOMVpzx27oCMsk8LRgFyejBzVjrX5IoFA66BNq4jE/6vJ19QmAmndlBtjzWNX2gLW8j2O1yrx6gcoUQKuom7cvHtI4DK6JBb1aNI2+OVDWLvQmOnevu65XYgG/HJtILYirqPej4ftoQKQjFtICc6vJlaUL9tpYuoecdb9WZZitkdHaiw8FjYyMjIyMjIyMjIwurwy0vcIChE6n8upk5Bg3TsvFIgUcKLgcQIq78k8fPq4FxK7rj8sH732VAtfGtnHvAoOdtgF4btC5VPbtSvJ1F7qG59VFSv8AcZrnOpvVAmBA0N54WO7d06/H0BkLoAsnIJmxDjAFxJEd6wBdnKmTqaKURub1O2AYALaZk9mBzYNdEXnq1Ix8AThbg9RuEH1sPKlOS/qIq9bJp3XmxYkoYC0ojAVEfOrMjDpKcQerK7UG9Cis9brr+mRzV1SsqqWOXHfsAs8lQmE6U5RiuWzHB1giDx2ekE++61Z93+/3Kig8OZmq57+G/B51dRIR4fHYsQPAUdYTZyj3AVKBgrhsQz6v5peWKnZCKg7gd94xKH/xrZMXuTs5wh8MeOSGjV0aHzCZyEuuIfCU/QUYJVvXiTxI5MuSKdpFvBCvwQN5LtA5kSlKjoJZNQFyAYb0aGdvVF2/A51RuXFTu8ZFsL+A8mTU7tvUIf/lZ/fLZ544o05e5ppV1SJobX7Z3OVRRzB5t73xoJSqlkwkcjKTKSrQ5XvNb605Xh2lixXZ3ReXobms7rvF5MwAGc2Ad4AvfWY/wmBth69IrlhVly5uVvYrigT9EqhU61DWhseWlKpVGU8WdJzNgG0z5coivV4+GPBJapn3NEqdv4Z2GhkZtVAsaP510cjIyMjIyMjIyOhyy/xb+BUWzkcq15MVi1tvOlVQt2Wr/FogHFBwOYAUYPuNQ+PaNnAYkTPq1oWCWul62wDIpdy77kiDTR1huW9vv4zO5xcASK7BNUrMAPqxG/oVRtVdwydwDWelI+rXOZBTM1psat/mjnqGLIWm/u7pIc0h7W0Lyf7NnQplnZiC+/ZuUHfg6emMWJadewsAw11JcbBPf/uUAjIKizU6kx3YDLDl+Vu6IwqU3e8xz4BAoPGBkXk9zn6omJAPffHFegauG2o78wIA5pm3b++W587OauYpYNNZO1yW9++/kKH7l986qXuBIluFil0gTM2XHktypYoW8+I6p19ky2rEQm09aA84etvmTjk+kdaYBuagLRyQXKmsMBEaCrQFvNIf+srYgLq3bOmUo2MpSUAAXQKEtoX9GnnANRRiOzOVlnzaLtLlwFacw1sGIxIJ+tTVixsX5olTmuv4m+frEX6yin1esYh/8JABaztOHYcnsDNXqkoyn5eOaFDvJx4CJ+/5ubxGCNDv7xyf0jljT+GUBRazhk4EBc8EZI8lCwpvmUd19lr284hTWFgCreYErtpzyc/XcsR+m0wW6rnPOJ8pP+a1KIgGpPZq/9gnfKjAqvHsYmlhOzx3PlPSPYzDernZrEzp2dml3e1GRkZGq9WejW1XugtGRkZGRkZGRkZGrzgZaHuFRR4moAnYgyt0Jl1oGpfQCAWXU4AMByvAFlfn+bmsft+oCwW1OlYUb9AY6wCA/MA91110zd9+/6xMpQua+Yp79tYtnQrDeA7A7UIUwoxCtrfevGmBG/bXPve83t8eDsjwbFaLOt21s6c+N/fftEnnjjgEwGapzHH0qgKw4dmcukTT+Yps6ogsKJ6GnLkDsLIG9IM+cg1ZwU6u7UB7WGkeMQz0C0CHo/Svv3taXbdueOsGuMwP+bEUGHMDWmft7n5VnxYne+LktIJT3KKD3TaE93o9EvB7xO+lMBQOWo9GI+zqj2uG63EAYM0pitQxaolGLwCwu6NBBbOA+FLFr3CdiAI4ZKlQcTkybVfu02dmFCjiwm0LizpSga4+n1cBKgCZ9WIM3z81Lf/4wqhdtKvm0gSM/vPBMY3NIL5Bnaa1/RoPEU9AP3iaDURxIPNeNmnn2zoCVlNoLBb0S9mqapwEIB83OI502G9PNKhQmnUDTHOsHyDrFcsuWlcoy1ympGvPe4wPFyrREbUUAhUgVa+pxSDQX0ApDlv6uJJIV3XUlugvMRnOzFKYjtxbxszzLY1niAR8+kEFH0hgQnZcuTihaYkPUByHtVvL7U/IBxxvHjthZGRktFLxe7k7tvCUjpGRkZGRkZGRkZHR+stA2yss3Jc4IwGKwEy4DVEJrQDqUlEFjW3jsAXY4uLl+9XGGzQWTAMAL5Vjy7U4ZAGuiIxPjv7ftq1Lr48H/XLg/Lw8enRCnZM/d8cFOL1AWhHJdiJypN39zMaIAs3dzZU0D5S4Cf5D89BoQs7OpGVbT3zB2BoBK8DWGf+CXFvskh6PFp1iHnCuWjWIyx/Hnev0gbmZTRftzNRyVSMeGh25CEf1EyemZTZbtKEj4M7jkXliBQoV/Zpj/PQpGLBkeM6ORuD7zZ0RdRg7WaqhgFfu3btRPwQg+3U+a8c5UDrm9u1deoQfN2wj9mN9gINTqaI6UIGFXbGAgkUgJ223h/0KvYnWYAx7N7VrXAP3qmOVrNtyVQqWpU5iq54N65VMqSIDHRGNXnjq1Ky+R9E3YkD+/rnhBbmx0YBXdm+IK5inZli14qlHgRDfMZbIa0bvM4lZfS77GaibzFMEzHa8Eskwn7sAgvHSAsDZO43Yk7UluIHPB2oJFnVou7MvpnPSSvaOvBiiAkodYO28jyO6YlV0zwDhKz6iGgr15zuREcBq5j2VtwuYUdSNtXbctoyRfYjjeDHB4+1AiuXpGq03ZmRkdJlEGg4RL0ZGRkZGRkZGRkZGl1cG2l5huaMP3HEA5KgGfV65+7reVbdNhi1yZ9oupw84QBsjGhqdtbg9HcdsK9DLvYzBcdr2tYf0eL0DLr/8/LC8dH6+bhXFbdgoJ1JhJlPQY+cAOFyuHLPf1Ble0E/6jQC3PBdHLCASJ/G2rqi8ed/GpmNrHH+zAmtAPzJoFUpaosWlgGc23LVdsFqQbC6r7tTzxC10RdRly1H3xmJowF+un8kWNZ8Wpy3wjsxcMnC5B+cl7/l8wMugbO6K1IF1ImvJnoF2SWlRrbLcvLlTPvKTe3Wdjoyl9BmJrEdeu7tHi3RRCItoBHKLoXSMwaoBRkAlQB0xX9lCRR3aZY9PIS6OWl7HRYu+8oPzksnbhcWc4lwO+JtOFXXOFAJ6RNpCAV2zjkhQ/vidt8jXDthxGcQ7EGHguFvpD+u/sT0i8+rytRRMMwdOlvNAR1jbPT6R0mu5l/6FA0RiWLoebneps52IdqAd1glnq7uYWEknYeE9TEVnOKgO52RDRqzHFQnRFglIMod7eSHybGSqWtSt9iJREOl8SYoNNlhczV7tV1Udu7iT+Vk5O5XRDF9c0Iy52JAl7EDfRi3XZau5vrVOWlcA6JLFHPR6JNU4IUZGRleVDtVOtxgZGRkZGRkZGRkZXT4ZaHuF1ei+/NJzwza9Qh7PRUekVyKckY0ZtsvpA1CzMaLBDTCBaLTtOGZbxTTwmhMxwIjeeIPtOHV0fj4vO/ri2iYg7n8/eU6+/IPzC4qm/eTNm+Sl8wn57olpzQEF3pER+6Y9GxTYfePQhMyk8wpTIw/5FKRxHcfU42G/pPIVBZe//ZY9Os7GsdEGgLRZoTK3A9nJoD06llQnL38q1YpCdqAyC4XzlNdjQb9CTxvW2pEMjlMZgE7e60QiL4fH7TgHdXh6bXiFu7UnHpR8sSLJQlmP7m+tQWMc07QJJL9+Y5sWrNoa8KorlwJXf/Wd09IXDypQp1+v3d2h8/iH3zxqF3srV2yY59pTfMkeY51qaQfqTsWtG/BZUihZkivYObcOFAfqNrZzgUl7ZENHSJ3GuG/7ekKysT1ch9q4ngGPqXzNteWxoa3f75HbtnXr2rHujJk5A9ySb4wr+zsnpmQuaxf04s/paRvea0Zt9WJQSffawj7Z2Ws7zImNsIuLtf6hIj6C9RlN5HQfECNhuQAp809UBWOay5Z0j7HmcFvG4UBON8cFFDtzizO65bMpHlepas4v+4B1xcmN+3ZLd0zOTKc1D9ct/VVxCb8j6I6nCQDma6JL+BngJAB7x+2KXitVK5YQ7WvcvkZGV7coBmlkZGRkZGRkZGRkdHlloO1VptGEXWjJgaMcCb/cagS0QMfGCAVcl0vFNAC93nbbFv3TTO42cdzi0oTePH16Rh47OiH//p5XKbTFKdsVDcjwXMmOAyiU5eDIvB7XnMsWFNgmsiWZrhTF580pWCPaoD8eko016OeA2MaxfevopB79bMwQRs0cuBRtyxQr2h7uTmDihvawTKYLUi5WJIcz0+I4vEeBsONCdpzKFEdzsnYBe4xtIokT2ZL2CLDXK9WqnTOL2xSHaG/MzqfF6bu7z454ePWObvnvj59SGIuTFHBMBMIjRzLaFjAcKE4xuqfPzNbyWz3iqxX9clyWfK1OUBfxLFQsmUjZLlgnVAAH8aNHJnQt9w+263PdkM3jsQG1fshgUWzLzuSdSha0iBuxDWTSUkSOtcFhqQ5b+2514t6wIS4j83kFtozx+yende6B+MwNcQ/ARMYLCI2G/Dqm6WTBjmioLHS5ksNIRjCF7egvMHw6mV86m7Zc1SgK3K6M3XH1kvfLXrpje4/Egl55fnhe+wLgnZgv6L09saC6whXi1iCoA2yXEpfp2liWeCuWrgNrVKj1hzXUvpBfXLtniaSEJUX75Pfi7nV3k6+B1zdualc4zTo0PmotQGt3PKg/06UqH4JcYmNGRkbrpv620JXugpGRkZGRkZGRkdErTgbaXmY1ZsO6nZ1ukEkEwBAOz3JV3aGN162nmmXctooQuBS523z69LRUgJ21jNbRubx89qlzCmDpz1dzJXWf+n0eaQv71dWKcN7iBOVeBz5WSlXJFauaa0tWrDtionFsQKtW2bzN8oOdwnHAOuIXgKk8Y2Q2qzCSXvW1hWX/5k6ZTOdlIpGTBw6O6b24aYHLFAQj8xXQiYuS3FaPx5LeeFijJDL5ko4R4Ei+66HzCXWTkg3ruJXZQzht+9pC8vL5hDqMKXaFG5epAf6em83K8+csBak4OMlK5g9ZuRy5J27CT24uhcOa0Df3S+lCRR3TQFvGyTrUj/zrtZZ0hP3yml09cm42pzm4zAW5u5Z4hZ1LLABrC4TEvAv0A7pyL8D52aF53e/JfEmePzera4vzdiqVV4jNtX6fV8oWYNyjsBxwHwmyBheyX6NBqouRxRvQ8T1+bFL3B85VQOhyNJ+1c3HZG0BN7uLZr9rYLtPEOniC2tdMxXbEsj40PZ664EazLgFu2qkMlgQCXnUVE5PBnmtIYrhkOdPRrI+893dPD+taN3vsWnSFyI6NHbZr2cjI6OrV/Tdd+j/zjYyMjIyMjIyMjIxWJgNtL7Mas2GRGww6IJOj5NjqAH1OoavlFiC7FHDMe0A8YKZTRItj8YuB5tXKDUUpRkbhJycOAlBEzioQ9X1371SHK3OiR/wtG0pS0AoH7pd/MLLAzYiDEwoF5GuMmGiEz4z1ocOTi2bzOvNCHut3j0/JWDIvEYpsFSvSXa3K1FxBj8lzZB64eOfOHs2ZPTic0OPtwFWO1OOcBTIWiCKoVKWnLSS7+uIKXp8fmlPwC3yk30DSkL+kz+V6ohPOzGTkEw8e1bgI4DHu0kKpqvm6k6mCjM3lNA8XmEr0Au+xz2JBvxS9Npy1LI/EwxRYszN6NVPUZ7uGtehVk7Fr7CswvUYMh2ZzmpELrCYagL3SGwuJ3+eTcMAv3dGgHNLid3ZRPSAvDvJ08WLMx7yQIUvf0rmyxMM+ddTSH16rVmtF6OhvmT1je3+39kTktbt65cXheXkhPVfP5LULi9mOX7+PAmt5mcuWNe5B98Uy80a4ioJm+myNVPDomj57ZlbjJ87PZxWo0+R8pnTRvLkhKEXFKAK3GiMp+8FRY3buWilbqtYjEqRpYbWVPxeXc0P8bstnn56+uIihkZHR1aXHj03Lv/3R6650N4yMjIyMjIyMjIxeUTLQ9iqIHmgGMrkO4NXqupU6eJcLjnkPiMl7QDycrt85PrUoaF4LveuOLRobwFF6hLsx6PfVIer+zR0ynsjLRDKvzrx7926Q+2/apO89fGRCKpmiglsnozUe8usx9lDAuyBiotE9y7whXKTARzvSwI4/cF/z8a8fkW8cGlOXKA/BIdjfHpK7dvTIU2dm1EHb3x7WOePrhw6PK6C14wKqEg+H9R5uBsDi+EzlyvKaXd0KGb9/alpBJRAVB2eqbEmmmJNwzRnLsXj6Afz75qExzfQlEgG3L6/RL6DkhvaQOlRxfnoCXgWyWoDL55F4wK9Fyej/zr64jCVyCp4BsEDRoRlAqxNYsNBJyfOJckA7eqLq/sXtrOPzABdt2E/28N5N7To++sO60cfjKbs4mlvcCljGQcr/MsWSFCrkBFd0rEx1uR6gwNp5pCsW0txeXLY4X9kn6hj2edVhi2tXncNVkclkWfNhmVdcvoD1eCisAHklHBLXq99raX8mUgWFtRSHc57dTO7mAcqtgC177lIjDi5VtuPZLobWDD6vpn/LAbYAdmRSEYyMrn4dHb/4d7iRkZGRkZGRkZGR0frKQNt1VDOQ2ix6oJmWe91yHbzLBcfN3oO/LAaa10I/feugwsuHD08onMW1+qa9G+pRAA8fmZRw0CcbOiLylv0b62Mjt3VLV1ThIUWq+BtI2RbxK6hsNXfutaEo2BCZoZWqjDyV0/fffvuFHF6u+97JaY1nADARXcCkABdxCAMM79zRozCZZxGHAAx18mKT+Yq0RSraL83kJZO0FhPwP75zWjpjIXXOUjwN56EDsZxrcN7mS3b8g7pry1WZyZRksDMiU8m8VMV2wSbz9hF6+gNsSxfKWniLk+c4k4kLIC+Z4/1EJySyRSlXLHWKwqiZf9aZ/rqP9uOG7YoGpbeWabh/sEO+e3JanadcaDtRRccMGN1VA8LAawAnBcAAqY1yMm2JNwCy79vUIQfPz6vLuJH58T0FzOw5rMrh0YTuRdoH/NJRBeqEMXjsNFleZtZ4Du5jYHgsGpCQzyO5BqpYM2dLNOSVdOHivrqd3Jo9S3uVyoL7W2W+uvOCG8V+vdJFuNRJ3aKP69k3A2uNjK4d2SExRkZGRkZGRkZGRkaXUwbarqOagdTlZsOuNEN2KQdvKyBMsaFnz87Ku//HU1rwaVd/TM5MpeXYeFJBH3mwwLxmALmVu3elry9VtExdxxoFQFxCRmMSiGzAAXx0LFkDm3YbOEg3d0YUNl2/oa3l3NGPrx4YlblMUR1ElmXJYFdUC2dRnMwNbSlixRFx3Kg8C0jp83ilWKlonzZ1huVHtnXW+07/eD5OTGAlIBVwOJcpLYB/vJ8pAhdt8Bzy2fmlgFQu0+P8teP+kYCdQ9sVCep748mcbOqIKCil+FmlDohLsr03po5hBFi1rIrMFW3Qy/wBvwGgBRe4xE3q9ViaAYvAnrBP8K/f69UxzKQL8uePntA5v2mwU7Z1RzWaAjjcqwWlOGbv0Txm5gkQi8uZFiNBv5Tzjm/Wll1QzKNO3/e/YZc6p9/0x4/ra6xnvta/YC0/l/nARYxDmW6WKiUFw3yNK529aRt/bUDujIOCYkDtEg7ssL+pcxTAT3GxbHF1KBGHNI5eR47reyn4uVbgMuSzAfBqut+qb6yBbV2Xq0JBnw2Xr7Qz2cjolaiNHZEr3QUjIyMjIyMjIyOjV5wMtF1HNQOpzYpbNdNyr1uNM9cNhAG2R8aSChBPTqYV3CoFQ7U82FYAmYxXioVx/JsoA0AhsLOV63e5buBGuLu5MyyPHB7XIl0UoMIV+xuff0GdqcC4bKmsBb1628KytZucWkvud7lxmwlQe2B4XlL5sl3UzBJJFUpKsICzFH8D1gK1yU2dThck4PVKyWOJz+tVWAs7oggVWbxuSE7W7qHRhMYjhAJ+PQI/ky5pu37vBdem46LNFKoyOp+ru3iJO9AsU0v0GP5t27rUXfx3Tw9pX3H4AnbJO0ZALJZMQavHI8mcneGK47ZULst83n6g4/r0l6u63hhlHak3FfdwuSqBGgDnGfRZncUe0XnY1R+XkbmsPvD8fE4zbYliwPG6qSsid2zrlmmKcVkiXp/o/FarVWkLByRLfTAnwgLnbK19XLmf/vYpeWFoXsJBr7bHZDgwkWsYH32KBry6D8jm9XKkv+ZarhRthzL38DfxDMw77zEOXsdpS0RFY6KBQuWAVxK5ix2+yxV7bnNXROMnTkw0j4JYL2msh0L3lTtjF7ue97piQZlK25ElrWT7mtdf/W1hddYbGRld/g9M+DDUyMjIyMjIyMjIyOjyykDbddRKIw4uRStx5rqBMA5bAN7mrqicn8tqTuqPbOuqg2ackq0A8mNHJ9WZ2h7xL3CotnL9LtcN7MBd3JKPHJmQgfawZocCxKJBv0ym8uoGBhQDPul/POSV27Z2SW88pOPHiQt4bZXxSyarZs7Wjqg7R+g3dYSlJxbS50+n85qzCxQDrlIwjIgBcnVnLY7HW+qMnc+VFF46crJ2yckFxjKvllVVqF0vtOa1YwfIxQUI45BlPHs3tqvTlJgAgOOegXb5xNtv0r4fGUspSA77yzLQGdEYAsDpy+cTCiahbEDsmXRR/wAnnYxat4gGyNUKdzmKBL3SEw8q8AUK4+DVveLzyt6BDjkynpDxZF4GuyK6VwB6JyZT6gLmOcBrsmtjQZ9M1SIVErmyrmGqZMksGQ01964WuavWILNFrEJVhmezuh+Asl2xgEYkdEX9+oEAkREU4fKQV1u1oTk/Tw7YdUNDzQQG2Ho9sqUronNLgbRYyCcTyYLuHdbMW3OS1ti4ZJtEMrjluJ5bZeHy+lzGLkxGBvFCT/H6ClDPxmrmQGWc4RYO4qVgK2ukDnY/Lm/risccTCbzV4vp18joFSV+F3THg1e6G0ZGRkZGRkZGRkavOBlou45aacTBaguLrcaZ6whnLQ5bwCIAFHAHBByZzarLbknQDHWr/e04VDk+jxsTOAZAc9pYLsR24G6uUJahmYyCz2jQPuKeyVf0OL4eBS9X1ZVpFw8rq9vzt9+yR+eCfizm6lXYG8DVKVKpVBUuvnp7t/z4vo0KRhN5++h9rlhWUBwK+BQE4uYFHs+enbVpL/EFXo+CXKeAmTvqgTiB//uDEcmUiFQQPaIPsAXGEsdANmsyV7HjAEplqVhV2dHTJufmsuqWJVbgmTOz+pzxZEHB8Zl8SWEt83tuKqV/23m3dhwDUQ+2k3Z5OI2M13958ya9D9DsxDMAIHPlqjx5elrf4xnfPj6lz9nZG1N3M7yQ53MxruSnz8wqWCUnmDllD7E+7AOgNC7iqs0YF8A+ohrsbNWK7O2OSala1SiEcDAg/e1+GWG8lg1jeT4NAKRpp1YLzS5sVuYa0XnqiAZkKlPU7FlM1BR143XWCijcKse1Kfhkr1TtfdMMHNquaz5AKNkO6Mt4ht8dy+AW3WgL+SVbdFmqV6jxZLFeMOxKa5XJFUZGRpcofsXMZBZ33BsZGRkZGRkZGRkZrb0MtF1HLQektoKzKykstpr2HX3w3lfp38fGUzKfK0quWNVj53PZkuzb3LEoaCYGADjLkX1ySR2HquaJejwKWYkpcNpYLsR24O5LowmNCegO2I5awBwgk/zUc7OZWr6sJR6vDdQAe4yVeVrK1XvDxjY5PZVWyJmtWtLXFtHx2H0al28fm1SXJtmv5SqFurzq+L1vb7+8dnev/NaXDsrz5+YUZsbDARlN5OvPds87ADtTKCkY9ZAQS/yA36ttMx7axQWKQxV362SyKBPJaY1fmK912SkG5+T6ArwZ23Nnp2U2d8ExC6gFHwJdaRPw6beXQvItuB2AE7hJbu2Tp2fUZavxATUYilgDb809y9cU/sKB7feJ9sdmtpZC3KDfKwNxu2DZRCKnUF3jZX125qtm9dYaZhfapcMuPAvWeWwipbA6Vyqra9WG45a+BjDH1dsRDdpxDoWSOm+ZU5zTPKsvHlTn8LHxtO5B8moTuaJULY9GMfAMxo1D1YtDtSF/tlEat1CqLslhuY61IU6iVC7KIubUZYs8Xy32BjRvAN2LiXUHHnNfs0JovL/c/hlWamRkxGkaIyMjIyMjIyMjI6PLKwNtr7BawdmVFBZbTfuOOqNB+ehP7VNnKq5QimxxnNyGo6FF3b3EAAAdHQiLQzVdLGufcUTu7osveBZtAUUdiMzfzRzEDsw9NZlStytQuFKxZGtPVAY6ozKZzKm3sjsaUNCJE/aWLV0K55x5IuaA9p85M6PgLh70yXy2qMXLePaegTYFjo8fn1L41xUNyDcOAZy9+nyKiVH4Cwg3my5KNOiVcs2JyjV//nO3yu985SU5PZ2W7T3xBc92zzugNRz0iwfQGiQnFjemTyMVgHDbe6P1aAUH4DJ36hotVSSR9ejc4lb90nNDGjNAsbBY2C9z2YURB8l8WYtpSS2/lQzenlhAEvmy+KoVLSynWbkuBb0ehd//fGBU7ap83cy4qeCyRvk0P9drF4XCPQuYBZpzn+Oq3b+pXa8l3gCAXSraDmD4rebT+r3qXk7nSxdBRdoj5kAsryTz3F/Q5xE6wPwgHLs7++NSKAclnSspbG4P+eWOHT0ymy3I6amMgmR8sSQ92Pm9tjsXaf5rLSvXzs21n03zpcrF9bec95fKjGX+fvrWjfLw4Qndb2TrXorYu7iVc6WKRji4pYC6LaSxFO4pJJ+3jQ8CQgH9Pl1o8rtDx3/V1BgzMjK6ytUdNfEIRkZGRkZGRkZGRpdbBtpeYQEQHQfluZmMwkKg4aXk4TouT2IPvnNiSmHPzr5YHbA2u57nZoplBXFVq6JAETcoILdVPEOjk/hLzw3r8flj40mFea/f3btiiOx2BgONh2czMp+1kRSxCHSMo+0UxPoXO3vkqdMzmp1K1IF7nspV2w3KkX3G/cLwvPzpw8c1YsB+dlV6Y4Fapq2lTlkAnlMsjpiEB17i+7SUIn6FY1PJokJX+o/sa8Yverazrg50d+Abf549O6OFnYDjwFkyZIlKwIVKVAUw+ZEjk3pPQkReu7tH5/6Bg6M2NAWQejwynbbzeBtF/7Z0x6S/PSw7emKyqz8qf/mtUwo5AY7AUhyzANxCpapZwThzma+uqB1lwFiAmg68DftE8jWQqbDTYxcYw/XKmIHORFNo6mzV0kiJ4+m8xkbcsatH/uG5kXpUg9Nncmr501ATrH4U38kLrjtwq6K5rBOJgkSCPs395Vle8Ui6WNF+c/14MqfxB/w8OQD6QisXxOtAz8aIBLio7VdurqUgZ3vYL//ux3bLmem0vDhc0jUnEmO1Yq0A1riLnWbUfFv7hixkitXF/HbUB8B2/2CnOshH5/OSyDV3x7HuAG0DbY2MjJYSv6cLlYUfGhkZGRkZGRkZGRkZrb8MtL3CAog+cnhcptIFEctTP+J/KXm4DhidTuXVcQhoSxVKGmFw394Neg0uQCAm7lgAGIDWsnBdlsXr92nBKXJTcYQuBVcdqGsfq69hIMsGgY3FwC5A6qoC0QdrkNoBwm6oS3wBINAGiJaMzOXUdQiYAtAxV3xPjINTgMyZp+8cn9aMWC02VQNYR8dTsrEjXHcvP3t2TgpFG1ADd0FyDqje3BmWe/f0y7eOigzPZRV6ZktlqWYsSeTm9Nr/39tuarlGbugOgCQmgn68MEykAhm2Ho0TYFx3bO+WD9xzXX1dDp1PapvxkF9jHND5ebsI2PCcpaAXJ60DFx3wRhEvwB1A7jP/5g6dy888cUbytfzeUtmSXf0x+cKvvEbn+0NffFFOTqU1OxhoPZkqaN6uFqbrjGjRLoC/m2syV5hHvWLJjt6oFmoDIAOLef3FkUTNSYvP1SPHJpKSLiwko+rUrR31d0NDdeGKSEckoOAYmOx2tvI3c+gre8Qf9Cm8zxRLksmXdTwly5KhmayuOXvPBrZkDtsFxxqFOxoQzjxSTG8+Z2dIcH1Dl5uqWSEvPqz4zb9/UY6OJ3XdAbbsX93zjlN5GfDXEfEcE8mFWZJ1866F47iq7uqt3VHZ0hWVN+3doHnMn3rspML0VoXTmhWoMzIyMmom/rmgxS6NjIyMjIyMjIyMjC6rDLS9wnKO4hMB4D5m3+hiBZI2AtBW0QWOy5OcT45JR0J+BbNAHQcsAmyJAyAzk/xackBv2dIpZ2fSsqs3rkfPh2azLeMZmjlmAYs7+uL1ewCn/Hee+xqF1Ecm7Hw8j6VA1J0F63aoEm0AJARwVihUZVk6joGemDoYiV/Y1mIunCJo/LGLRJUURgIDHfdyNOSTsMYJMAdFBcnPn5uV7b1x7S+g9Q9+dr/O1YOHxiSVK0tCygrd5jKT8offPCr/6V/e2HQd6BOAkTgFBvH06Rk5PplWiIbzl9iAdL6sjljG4EBw9sKh0YS6RHn/888Oq6OVeTsYC8poIqd7hIJoREcwNoAy88yY9PtSWZ25Dx2e1Mxh5qAj4pecp6L/4f3okQldK9zDQ3NZmUiUdEzAXgAjxeiAmFUrJPlQWZ3B6oB1uW+JWTg5kVb3M2DR+c95hZhkzZYsiQY9km1CP53iYRe9zroJLt6SFtAqejwXwUX6iEs5U7BksDuqewhoTDwC+wRYCwyPBvyStuyCdT4KtJHf0CAHCvPO/5+9P4GS5C7PfOE3InLPrH3trl7Vi9TahQAJBAIsJBlk47nG97NhxmAY8AHbzBi+sQ1zfGyD75g59thgrhfGZsD2Z3uMh8FGRgwIiUUWkhAILb2p962quvaq3LdYvvO8kZGdlZW1dKurqlv1/HC7uiojI/4Rmd3q+tUTz4ska8BKhG2wXn9NFzqA8cMXDOyBjA/mwKk81lTwQlG9QIw0HHsx2dy8BiSQ0QOMH2r86OysytqXWstACCEB+OsEdTaEEEIIIYSQtYXSdp25cCt+69vsA1YymKxx+BVkHeQepM9gHP20Mbn/xgtyEwlbCNuhroTky1kVc7HpnCYF33Rdvw6UOjqeW7SeoVXnbnOlA27jbt7m/Xdf40tq29GvhxoqG7B+DK968sSUClsIOiQUcRs9gHc7MZGTtlhE3nbLppaD2YJrgGoEiFuAdWDYFhK5SK4GydhCxZa///5ZFW3omY1HLRVuW7ow6MvS7b5+4Lx8G0PJIOJqx8BeIRMhn++4pqflOvB8yFl8szuVL6tMw9ogB3VemPhy9J2v3qq39iP1iuQwtsFALaRsISRH54p6vX7rJ6/XwWdIkmJoGDqHkZzd1BGTSNiUH52ZrQs/nMOffeeEbjPYGZO58zmZzPppzcpMXtO3uwfaJF+2tR83HLKkLxKStlhYxWwibEm25Eh3KiLnpm19T0BAQ/4G4FiQg/i4mIAF6KYtNk28ChKwi4EO2tmCLZ2JkMRDqGZAH26QKvb0+ZCiR89n9DXDg6gIQDUBxDyqGrDWQDCrVG1BY09tdbFI6hIE+8V+fOmNj4autVG+4uvLyVdsg6FrKEForIRYCW7tzwa6iy+Fi0n+Xsw+8T7XgW9iSrHxghBCriowSPOmoY71XgYhhBBCCCEbDkrbK4CVVCGsZDBZ4/Ar3IPe1xaTm4Y69Xbz3f2peftFfyo6b0dmCzpgC/uG+MHt+Y8cGpd7bxjQegDIz1ZratW523wekJHfPDwxb5vFJDVk5Se/dlgHOKGjFBIL0rE7GZFKtqzJWoigQtXR6oLF6iKCa4D9+ckgDLWypD0WkWt6/X7ZQFD9+I2bdIjZP/zgnJRtR3oSEdk/4p/T9h4/xfv5752S8QyqIxYeyzTnDx9b7DVTeev60hMSy7RMla1vuWFQ9g9n5JEXxyWPblLDkK29/hA3rauoDQp7YXhOPvC3z6iERJfv/uE5lbcYyoXXri8WllQsrBIWaWQkhqdzFe2dxXFQVODVewlF5fCbr0dVRV67bSFAIa4xyCxi+b24eC4Su0jSom8X+21kJZIPrz9SwqjcaFR2eFlwTfKVxUUeHkFXsb6XmyoSVPqidsD0U6Y9qaieA1LYmmQO4XXH9Xa1imGgPSYjMwVZ7HDa1dtUNbEcWBVeJxw3SNlC3uJKBzUP9fTxMjvFtlu74npN8MMW1ChczFpeKt5FiBu8F1YS4tVNDHTsIrHtSa15ghByFYIfAF9bq+ohhBBCCCGErB2UtutIcy8sUqiNt9o3Pj6dK6uUOzGZk7PoSbX9vtjGaoDm4Ve4JRtCq1Wdwofv3atJ1O+fmtFbygfaYjLQEZP9I2k5PZPXW+tRDxB0ra5ENLeqdEBit1lGt3ouzvPx4+ih9YUtbo9H2hRrxPCsQIK1xULaX7tcNQQGr6HbU4Wl53eWPnduTsYyJRWJEM5I2h4+n5XJbEnrCHqSUelrj8qWzriKZawL/bYQrlhTYzITiU5sj/WPpYvy6196QU5N5WVnb1J+/2duls5ERF8zCFfUHECC+slhU2WyZUBaOprWhSh3PAzeEjk3nZdULKSVBzgmvlnOliFQHb0WWDPqA7QSwfVUzqYLFU1Nl5DUROrT8KQnGZGOREgTs4ZfNqzJRyQ+Gysi7ru+X88JNQ5I9UICj80VZTpfrZ/zIkFVPQ+3Vs3QDI6F40JYbkbat1jV1047cj1PHzMNv3d2saSnSlAb21647ngtAwmK98hcoarXORUxxYiEJFesSjziJ26RWMYPIsYxZK5xsloLLjYHGqStF3zdQyevpdUL2SWkdCNtMUvuua5fjk/mtZKkUVCvZTp2OfC6tfrhxWJgblHQE0wIuXrBf7cuplefEEIIIYQQcnmgtF1Hlqs8aHwct9VjOBRu/YbFQsoTjzU+pzH9CvkDwxIKtd43pOKrd3ZrLcJUrqQDpSZqw9DQrYsU7FIp0mZBezHbtPo6ZCuStRCSGLQFUYnO1Zu3d8pjxyZVwCFJ2ZWI1IeFtZLRwTXAN5kDbVEVpZBNW7oS8uTJae12xX7OTOflz7+T0a5buDdcX0My8h/u2SP37BuQx45Oyl88dlKfH6QeIcpwyz5Su0iA3rC5XdLFivzEZx7XSgKIyvFMSX7hC0/LNb0p7YuFOIecxRpxnETEUhmailoqkPUWe8OXffgt7iLvS8Wkvw2i05bRuYJUK7amHJHARHdr0NPrVHEzvWi37Q1DHXJoNC0lSE4xNWU6MlvSegJ0vFYd2x9SJji2XyGAtDXOFe+Ft9++Va8pfigwm6+IaWAwW1N3a01uYs3t0ZB0pSL6+1OTBf061o/3KmQwZGkkbOgPF1RYiyeFMpK8pnQmo1qt4Lj+tq06bgMpiV94vZzaOSONrPJQ+2MvDOhKl1xJit/pi/U3VjBAyGsy9yLTtJcC9j1XxHtp5eRKjjz4/Hn94Yn/bltezq5HY+1yFQ/NsBCBkJcHHEJGCCGEEELI+kBpu44sVXmAxCm6TM9M51SiQhJOZcuaWAybhiY8MXio8TmNCVbIMojdpeoUguPfubMHTag6aCsWsTTduVi37lJJ4aWGoy2HDtpKRGs1CCW9pR0dekhnvvaaHjk8ltV0KaQthDSuQysZ3TgADKIWaVRcB3ToIpV6bgbnnJNEBIK4ovIL9QmoLUAqFbIXwjaQ5dhXdyKiqVK8Bhh+ZpqoPDC0exfD3CAlAxkIuYjaCbxWuJUcadzuRFg2d8a1N/X8XFGrBiDjRmaLujacMyQnpC8E5XkdNmZqNQFELba90AuLigX/NvUgOIr9TufLKie1d9bzZDxT1HMpVQ09dmW6oInVqFY1iA5cQ0fu0fGs/Pm/u13FbSC8kY72j9RawuG4SAMjzer364a0yqBxGJpfY+AP43Jrchm1C8moL1u7EmFNdx8YzbQUkLVwsA7jguiWsq0DxfTc0a9rezq0DKBBQcV7rdO1WRautW+42MNhvehMvhz7WmvCCDDj+tPQEvKyBbVEGG6JH+4RQgghhBBC1g5K23WkVS9sAGQo+i2RSHz+3JxYlp8UhKBDKhSir78jPu85jQlWVCdAPC42SKzx+Og4xaCyd7zKH0C2VLfuxQ5HWynNlQk6JOzpcypbkS5tj4Vl3+Z2OTiS1qFi129ul6dOTGsfbfB8nH/jADCs6+xETiUorlnV9ROX+D0kJYQqOns9z09GQtxif53xsEpZCG+8BhCFSLIGw9XCIVPKGBhWqGpva5CGDGYtYbgXpOtcsSLFakGlcL/rqtCFyETadK5U1dcQAhKiFtlRiC+kcrFP7BTHrdUT62M4BoR9yLJU6AbVBcWqK0fH8/OuJ7pr8WDJ9gebIVW7tSuhkhTi2l+qX4/xC59/Wt77up1y994+/equ3oQ8cnhCTk7mFk1LIiXc58YkX65oAhPXHWsH8VraFmIV79tYJKRCFfvCNiHTkQquHy74EkAK37q1U6seTk3ntL8WVRY4sQgGlNW6XwMp615hdQIbgaqH3mVf4l/qIDRCyJUN/pP08KFxSltCCCEXxY6PPrTeSyCEkKseStsrdAAZ0qvbepKakoR4RXcn1BPkJRKnkF/onG18TmPyFcO6lhokttjxLyYpGyR10QH71KmFAnWlCV3IQqRbg3VDWn7+8dMykS1pfy0qByAet3TFtZs2XbBV2J6bLcrW7viCmojGBDP6f3E87VGtDbCC3MM+0Xu7K5qUiUxFhS2kHmTscKlai3qKFCu2pm0PjWbk9u2depvovx6f0sFhkLAQi9gjkq8QrEjk4mt4vfA1fLObCHuaEEbSF9ugCzUH2el4ej4d8Yiub7pQ0dvjkb4FqYhV6671U7jYFwRpNGLoMbAuCOrCIvetQwj7fbYit23r0oF0z5ydqVc9BEO9cB0/9/gpTXajy/cX37BLh5KdmsotajpxHZMxS+YKnpQdT5IRqz6AC5USWK8O+DL8xHBdrOL6uxjGBoHrJ5RbgW5gSG08/qbr+qXrXEQePz6px9W6g6btkchd6vb9tRa2jcfDax68716OwNWjfoMQ8vIF3eCEEEIIIYSQtYXSdh1Zqhc2SMFim+09KYmFiyoa4eDiEUt296cWPLc5+brUILHljr8SgjVC2KITd2vXBYEaDBdrVZ3QvE7cpj+WKevnjxwaU2GaLVc1QYpkJRKbtuvIkydnZEtnTO7a3SNHxrKSjGKgl6GdvKgkaF6Xym4MpkKnq+vokC0QQnpVDAmbpvzfr9wi//uZETk3W9DBVq/c0SUjcyUVhqiYGM+UNTWK5Ozjx6ZUgkLklmo9qYmQqa/H5o64/Ls7t2sv6R9844g+LjWJiUQoOm+DLlakTJGY7m+PagL2+eG0ik3ITDwBUlITtJaryWd8DnGL1x7ni3WhMiBTQsp0cR0JUQqZ2dcW0+uLa4FUL/YdCEQo50TElDNTOU3WhJjLMQAA0n1JREFUojbhH3/YpkPJlkJlsaaX/fJYrAID45C1hXPGMDDdv2FIpTRfV2olRFO1QSNYH4arQXyj0/eF4VmJWH5tB0R18xmrIL5EK7uc7J237loaG6/FSgUsntMeC6nAz2r8+eUJU8yEvLzpTkbWewmEEEIIIYRsOCht14GVdMG2rAv4/lmpOK70paJyz77+i+rIXQ2CNSJhC2F7564e7dmFQH3mzGH53vEpTXe+UPtmr1USFus8NpHToWP4/MiYX7Nw/WC7Dg5DzyyEUAqDvGrJ0o+9dZ988muH5eRUXqp2UZOr6c3VltcOQ6l+lJ0VV42oDzwjriOej2s6V7BVqqHu4IdnZrUqAsIbydNy1VUJiWPPFV19nZKRkIo7CFOs7S03btI14TG8tv/j8VMqSAOThV5dCM69g22anD4+mZW5fFVmC1X50ZlZHb5WdXxZiV84R9QzQLC2p6I6eA3i1h9a5unj27uTOuiscRhXK3QAlyH1RPTpVEwlNCoisH4kZJEu9msLTL3F/dmzc9LfFhXLNLVSIsBfm6FyNhHFNfDrIrAFzi8eNlRe47wgqFEL0RYPaUUDrqOup7YjD+JzkalgOkxM94G0sG+fi1W7XmHRDJZ4qSlWLGul1QkYHjfQEdfhbmenC5JZRsJCJuN9gmsKeR0MciOEkKsN1BQRQgghhBBC1hZK23WgMWn6wvCcJk17UtF5Arc5BQsZmIiEluybXaojdyVc7GCxxjXifCBscVz08P7rsSmZLVQ0YdpZqMiJyfyi60TaFElQfI6+V8i6E5M5v3JA+17Ri2ppbQJuqccaUQ+ApC0qBpJR/D7Ucl2//38O6zVWEWoi9eqqOENVQq7syJFxDCXzRaxp+kPJgtoJSFs/3elpty5Stngc1QEQse3xsMpqVDgE1wkfX7urVztfSxXUMogOU3vVji6Zyld1HbP5qg4vgyyEcG6UhjgG9p0Im5ouxTWEeEUKGGvHNcCt6McncyqelwL7jViGDvzCdUYiGnUZbfGwDlMb6opL1XY0JY1jeLU+XqwR6+iMh2Q860thvA54v0I+AtQ2QCTj+/hg7fmqJ2PponYto8MWchOvE47dCORlW8yUcs5/LVqtW697rbM2IKhzwDkF1+1ydNWu9PnFqiPn5wp6bAh1DOFCp+tiBB3HOECQ8n45gwS71l+s90IIIZcdv0+cEEIIIYQQspZQ2q4DjUnTx49Nyumpgtww1L5gmFejRN3cEdPb471L7MhdCZc6WKz5uEjaeh5Ep6uJy4mMK3OFyqLbB522+PzuPb2aPv3agTEVsehlhSyDCI4guRkL6RpRUYC0KARevozkqN1SPON5tTv4dU3as6py1e+CxWPYD56HFOzPvWpr/ZyRZj47k1cZXXUMPbZheBILGVJ1/SFhEJebO2PzrseH792r4hVDvjCUa9+mdulIRLRiAb2AkJjaW6uDxHwB6Gma158shq8h0Xr95jZ55uycVGxbpXFQkQBwvs21AgEqM7VKQcSyTK1huOOannoiGgIWCWW/jxeSzdPt8XrZtf7VUtWWeDQk3a6nolZrCWrHS0QtP6mLwW5Nx4a4zZWqWo+A1+bMVH7h+gxDImFLTNPWxG3zPvyhbvOFLcD5YMmGaUjUQFdwSN9fWi1Re41XiyDlC2GLhLKDIWt4rVZw3Je/rq1VR1giNqttCXlZgh9eEkIIIYQQQtYWSttVZLHkamPSFFKxIxFWgYt0KdKdwfYQZQ8fmvC7Xg+Pq03b2ZdaVKi+1I7apeoVcC5ffX5UvvXihH5+995evZ1+NF1akMp98LkRlYBIWnpiSmcirDUJi60T+wb4lhApT2zbEQ/JaLqs/a3qNz0/dYtUKz5H5yokGhK4fdFQff/N4tnwPNndn5RM0daKCdymnylV5w3v8oWcoZUMjaL7gZs368fPfvekpoywHQaRlW0/9ewnVo0FfaqdiYj8P//XTfVrgfUgJQtZi+OgemAiW9akLJ6K84DIRI9u2DRqNQWOPHN6Rp8H8Yt+XySLe1IRmclVJFdaOMTLqPXT4hg4T19Qe3qs4LywlqlsSeUj3l8jswU9JwjWggshiXN0ZDLryFBXQjZ1xHQ9ENpY33iuLJliVY+P1LFbRc3C/HWg2mAmX1Up3DwkTft0XU+HsuFco5ah57YgnVmrdQgSwBCk6PfF9YiYSNuaWr2Ac0C1A17n1VQKfq2D4UtmpEk9v4sX7/jLddPw5dzXWoLXA1QobAl52dL433BCCCGEEELI2kBpu4osllxtTJp2xsM6+AqS9Ox0XsVQOORvD1EVSNSg6/Vy9tU2S+X+tog8ciinx4IUQ+q18Vz+5qkzMpkpa7zwwGha5eTO3uQCiYzzQ+XD945PS0ciJF2JqA5OW8l1eu7crLx4PiPn0+WGygCITVNTt/uHM9LY2JAv+QI12H+zeIb07WuLy9Zu/zb91+3ulr/7/lk5Op5T8abBVcP/hvStN2/Sa4K+XPTsorbhusE2laZIfiLRaRqoDhDtocUt/LmSIY8cGpefuGVzyyoJrAepWfTGnprMq/AFGI4GzdgetmRTR1w2dSRkPOPXS0B2np0pSK7iDyeD1IWIjdQEMSQlPjZWA8CbhUOGik0kZiFl8VjVceRHZ2dVuGON4EUMcRtJ+wPOHL9yoRGzdq0zxYrEwjHZ3h2X//LTN8mnvnlUXhzPSq5c9Tt2TUM6YqbMFi8kblU81nYXDGNrBNuVUW1Qq1WAVNb0cPBa1LZB+hhfwZA3XA+IZNRSBDIXKV8kelPRsL7euL5IvWJfLQ47D9RkBNL1YqjYvkFuHOLWnQzLdL76kioBgpreq1HYggr7EAh52YMf3BFCCCGEEELWFkrbVWSx5Gpj0jQQp3hMU6WmUd/erqUztes1ZGnE71L7alcilXuTYZVZWingelpTgLQp1otzwS367XH/LYOu2ljYHzB1Zjon3zgwNq+PF4O5gvNqrmpolsWQiEh/QlafmMhpj2ujkFQJ57mSSkZ0IBXc3bbupCZWz80WdMAWKhaQaoXwHZ4raj0Bbue87/p+Te82rmO2YEupOqwp00Aw7h1o0338h//5rApnyM9j41l5/tycbOtJaoXAodGseOJK2ECnqshEpqIC8enqtPzOgwc0zQt+7Lr+usTF+T1yaEwmc2XtgcW60F8MmYoE67aupPS0ReUnb9mkqdEvfO+UnIJsdlwVlxXPT8RqEtfztCsWCdWS41co6IArQ1T8Qtpi8Bq2Ca4dPqK79xsHx1RoPnp4QlPKJceRUsXVa9Hs3LTWQkRmCrYUK3mxDEP+2zeOqFBHzQX6eJHMxXVFD/CmjrC+Z4oVDGrz07CakF1CigYP4Tjohg2+pgLTMFSIQ6r2piKyZ6BNU8d4rbA9joNzRpcxqjMgwPF+RTcx1rHcwC+Ef9EZjD9HF+MbtU83ZIht413gH2Myf2EA3qUAgRyPmJIvrXwl+GHORrtT+XJ0FxNCLp37bhhY7yUQQgghhBCy4aC0XUVWMhisUeAGt9IH29+7r1/lIYTj63f3qnQbnStdUl9tq6qGQCpDemJI1aHRtAo6pEoxRAuVDK/Y3iVvv32rPgeScRi307ue3hqPugFITUQcIU+x/+BccF44RnBMfAykbrMsRj/tudmiisBg8FazpYGkgpDTIV0RS8UjxN72npT8+I2D2omLfUJkYgee69UHioHGdQx1xvQ8U7GwHgYp29u3d+s+9o+kVY4CnCdSrZC/YctPfOL4qBNQwagJYEMToF/64bBYliFR05AXRua0RgLy1nZdnboNYWvUnoM+WohUAMGMB/Aao4oA+6o2JGUDcGx04iLpu6Uroa8DRG5vm1+XUKja0heL6fulWf8hlYpk8XjmtExkSzKTr6h0XozG52MduAZPnZyWqVxZE7aQl/jhgr/eqiQiYb2WY+mS9v1CcJeqK68rCGQsRCpePh0Uhwc81F+Y8vSpGV1zo4jG+wHvG6zHr5gwNMUMwd+qNqL5axcrbAPw2i/2PKxdz2eZEw/eB6i7wGt5ciJ7USlbXP+NQiDgN9ApE3JFEtQFEUIIIYQQQtYOSttV5GIHg7XavtUt95erqiGQyhC2Z2spYMgxSCEIUUjLhw+Nq7TFWr5/clq7XeOmIV3JiIQ0cepqMhhCsbmyYbF6CFQPTOVKmtSEdEsXKjpgKh4O+QPCKheGXoGIhR5UyDAMxfKrElLRkIRNUwbbozr4DL8gbHf1pVTg7e5LLZDhwTogw1+3p3defcOuPqSbC9q/O5529NZ76LUbNrfr9l9+dkSrEnBNjo5n/aFh2m3qqXTUQWcQurYnBbskpcq0VkikopbMFaqSLtp+n6vu1dHt8TmSsZDxEKJPnpzWVC3WgCRzcJs/Xg8knLsTEU3sYnt8jn5fSF6IVYhhVB10xCMqt3MlR48FkYj6CAwWQ61BsQwJvfL3DU5zLFOSVMTyxTN6XWtp15G5oiZ9B9tjMtAel4l0SdKa8sWQNr8ft7G+YTHZGXxdKxdQCRKxZFN7XFO052eLMltc2N8Lcg335eN1KaO+oOlY6FWGoG/u1r3UO/qXEqYrTb8G0jlTcvS9hNf5YpKkG0lgsnmBkPXHH955ef4tQgghhBBCCFk5lLarSKsahOahZIttfyksdQxIzaCCAEnOE5N5+eAbd+lj//CDcypBIYMwIEoFpOepKB1Pl+prG+iIy527euf1xUIYQiRCTPYkI7qG4JiL1UNgkNW5GT9ZC+kI2YqEKDpjIW4x7wQpXshbSDzX86sB8I0jfGO+XNXbyjHA7VnUF3Qn/MRqbVhZY6oZ68Fwt1NTWYmFIS8d+faLoh2t+zad13NHlzCE9E1bOmRHT0pv/4dMRZfskbGsPHt2Tt7+iiEdCocqiK5EWIXzZLaiItkyvbpkxvpMld6mTGTKMu658+QlCIStbu+JVkw8c2ZGr0G+jMoJPzEKcP7YticZVWk8fmRS0629bTHtQz41VdBtkAYuVB25dqBNP4dcR/VBVzKsdQrYXRaJ3OUKX1uA17lUO4aJk6vJNEhcvNYYJAaRjMwrkqho8sAt/5CoeB/hkKgVwJkE1Qut0A5eVyTsePKWmzbJ48cm5WCuvGzdQathbCr+de2eVFF2u8Ln4n21lh2tEP5X4q3//p+79V4FIeRKYPdAcr2XQAghhBBCyIaE0nYVaZSo07myDhzDLdHNg7su17EwQOt7x6f0dv8XkhH9elBR8NixSTk5mZe2qKViDN2kjZL4jx89prJQO0mrrkpJ3JI/0B5btO4BfbEvDKfl9FSuNlCtOK8iYbF6CKxva1dcJSUewzCpnb0JrSaAdEWCFLe6T2TLEgtZKpDSpaqKOACZBEFZKDsqWDd3xFXcIumKhG1jqhnrOTuTl+GZoiY5cUzIYgwP+9r+MTk2ntOvIVEMffZ/3bZZhmfzUijbtYFjtjzy4rjctq1T6xbQ3YsqiKGuhJ80Ra9prlyrHHBVwOG6QVY2C8pA1OIcIYQhQfE1DNtCsvbGzR3i9CDJm6trPH9Ymiez+bJMZKOypTsu6YItt2/rkgMjae0ZDioBINjfe9cOOT6R157gPQOmXLepTZ46MS0TmWL9+BcL1gAxqz2uTUITrxPkrQ5CsywxDL9OAkO7IOM7EhGtMUAStisRUimdrVVDNFNPVxuGvi+0EsFzpRagXRHYFK8Drq8hhpjoxq1FoZdysbg28MqmZYrhXhisttrgOIkwksA0pISQK5MtnS+9Q58QQgghhBBy8VDariLz6gFG0poMvWFz37zU6eU81uPHp1S8BvoHxwjWAMEJ+RmPhmQwHlZxGgDBieFbEL79bTGZLlRU7kKeYvhIIJ9Ra4A6gs5EROsE8DyI6BuGOhakaQEGe2G/EIgQmfhYfeacpnlxCz/WgKFcuMUeX4NbQ98s0qfJSEi2d1s6BAwS8KkTk/MSgJDAJdvR1Onzw7Nyw+YOedstmxeIcAjzcAgy0VAJi2Ph82+/OLGgv/YHp2dkoCOmx8b2mnJV+eep5PUMkfNI9KrI9OTdr9kud+3ulf/vPz6vSeO2aEgSUUtl4WS2vEAS6vEhadHdapli2Y4kwpZ29KKX9sxMXtPAbfGQ2PmKynX/WCKzhapkShV53W7//YPXJl+x69sE2714PidT+YoMom+2aGtPL2Q9ErA4vl5DXYwvSeuetCHt2Zz8DG7n1+c1pF4DyQpxO50vqxyNWmZNsnragaw1EmJo/QXqAJD6XYzgmCHD0+uHnt6yP9vtokDvL+ojpgtVXRNE81JKVHt0PRF402pTjcKlgJz5xXbU4j0BMX6lwJQtISTgjP7g9cJdNIQQQgghhJC1gdJ2FWmsBxieKWhCcqmhZCupUFhs+xfPZ6Q9Hpa05/fSYqDXjbmydqRiDdf0JTWtiiFYkG2QpsE3Yfj1sbfu032hNgEpXAjV3f2pelI3kM9Y++3bu1qmabFvdLN+5tFj+nUkTccyZR3GdWrMfxy3vENNQWDjetyxs1tTrOiMhbDtS0Xl7GxBdnQn5d4bBuqD1549OyNm2R/mBeACMYwMQhD7Ra9qq85grAN1DEjTwkPhYxYdqe2i6eAJ3PpfdXxRXLHlu0cnZDSNVKpfeYD+XJzHE6emxbZdPZeQYcp4tqzHBOOZkkpCpEjT+YrEI/hj5adoG+sQkDyN4uU0Da0caI+FVKYGQ7ES4ZBs7oyr4ETtBNYN2mNhvfbB+wfHwXWey1fq5xkkdk9N56WvLarvuQefH5Hh2aIvplVY+78gx1VIG5DVtfXVJC72g2FiqDYIFCLW09gxHBhQfbzWf4zrkdPpZr6s7U1F5Jq+Nk0DI9lcsl1NOpdWIAMzZVeGZ/IymblwfksJ1+YuWf9TT4fCQSBf+DFGa2I1YTrvHFcAkrm4Xo0hWavhGq8UXOt42ND+Y7y29KWEkCsJDAptvIuGEEIIIYQQsjZQ2q4ijUITg7tuHOrQhORiQ8kWG9y1GI3bD88WalPW/dvy+9uimoIFjXUHSOJCVuIWf9QpIOmKdSIVi+cdG8/qc27e0lGXxot10zYPT4NIxDHnilVdPwQWnodjQ9xpZ2vFVomI2y3nCln5xsHz8p0j4/5t7bYrp6byEg1bErGK+rwP3bNH948U8FeeG9Vb34H2nLp+d6omVfN+3UMzQYr48WNT2rmKpO2d13SrfMVgLtQYQLL1tUV0IBkSv+jWRRdqRzykiVV001aqjlRdX+RWxdP6BKwJiVAI7vFsSbIlXyqXbF8SG4bf8QqpiK5UKD40A4R0eJmn2+N1wjFKFUc7g/X1sl0VpUatSgH7wvsGshwf/etclLxKUh+/v9XvAH7qxJT84NS0pAvo/vXtbKni1wxoNYPhaZLSl9jomfU/B6gVCGwzBsBB6kIuY00ql2vb4fVEny/qK24a6tQOXchr9A9HaueKQWK9bREV78WLvP3/3GxpSXnpH98f/tYMrkOx4onteUsOXYNET0Ys/TNxKcnSVrUNWNNKB5IFBAK9PWrp+2wtO3UJIWQ58N8x9LsTQgghOz760HovgRBCNhSUtqtIo9AMRG2jWGxO1mJY2GJytBWNMhUS0HU9FabdiYjcuatHU5YQipB92BceN01DdvWlNPF6empKB1V9pVCVLz0zLDOFikxnKyKGpxIY0hTSGAnYRw6NyZGxjEQsU+7e01tfQ2MvLhK2OH7joDKIPqR9kRyFlMXzsc3z5+b0lvqg1xWeKxhItr09Jlu7E/POH0lgJDi/+sKoStVAOjouBJ0hxyey8uBzIwuuMX7/4Xv36u9R77CnP6UDvf7u+2f8wVqGId2piLx+d688dWpGJrIlHQyGryN9iWNu7UnIuZmCyj0445CJqgFDBTTSvng+zk1qEhSvBW7LT0RDknVs34EaSFT6XakQqabpd8Di87FMSSYyJb1myWhIzteGv7XHLP1mGVLvli0d8p67dsgXvndavvXihKZb0Y+ca+iHNQ1Pu5NLNqSw49cxmIYmgysYIFYb1AaZjtcD52IZEJfoVPX7eP30KK5JWOsekNjG+ZhiaAIX8hX77U5GpFBxdCjbyGxB6yFw3fBYpYrO4ZIK8XTJrl+bi2El3nNrV0zfS0in4rUMwNEKFW/ZigL8EEMH111Mae4qgNe3LRaSydyFSoyXykqHm12JQ9AIIVcW+GvpuXNz670MQgghhBBCNhyUtqtIo9BsRXOyFn2xkJwrrVCAoIOwUkHqeDooC2CfEJ5nZwoqTlFz8POv2S6f+uZRTYeilxUdqUjl+rLNkf0jc7U6AEPFKvpiA2mqt40HhaiGseht5EGy+MRkTs5O53VAGFKku3oTcuNmR7twt3XH5esHxuTgaFqTmvVd1wZuhUxDU6QQfm+6tm/e+UJUQjJXXV8GYx1IiRqGq7IT5w2arzl6XVHTgNoAfEQ6Fh22wZA1HB+J49ft7pUv/vCcClukd3EcJJIH2uP6WkIoR/UJGCLmSqboiWWUNEGN9PJktlJP1nbFLZW9qK1wHEjSC+tBYhffBWNoV6lqaPcsvilOF22VnEHqE4IU7w1UL+wfzci7P/8Dlai4TvmKKyh8qF87QyRXduX4ZE57cpEghZjFNvhfMmJKKur3vDYOvQpkLcQhJCYEa2cspPUGZ6cLep0gbfFYNBwS13P0tQGd8ZBcO9iu0hkJaK2rNQxNNOP/cJ4YUnaxydMATVMv8hjODQPshjrjKuOnshXdNug8dlYgJCGdsb7GGov1AKIW751LnhTXdM28izgXCltCyErADxYJIYQQQgghawul7TrSXDvQmIptrFBoFrWQmpCU6HKFtGpVufCNA2NqW5G0hMxERQCqC5DoQwIXEhJJUdtBOtJQ2YgkKIRlXhxNvQbSeDRdkp29yfo6gyRoM8HxIWUh0M5nSvLs8Jxsao/Jv7tzu/zELZv1uC8Mp+X54XTdUTXemo7fQ9wiQfnwwXH50Zk5eX5kTtc5m69KNIQcqC8pI6ah68R1e/XObvnhmVn5hx+cq68lSNw2X2eIbIjpyVxZMF2srz1a7+9FPQOuFYQtrklbKqw1ChDb1w226/VDT2umZEs0bKq8RTXDm67rl//9oxF9DpKsvk01dMBUUOnQDM4JFQlYW1cyqgPDgl5ZXBK8Hn7FREgmM2VJF/3UK+QxPsLQ6baG36VagQt2RNKOI2kd+iU68CyGrgV9HcstJV0waAwCF+A4hcpCuesnjw1NXqPKARUTGASH1wBCOFeya924jtYqQEReqhRE4jeEignPvw6trmC2VJVsuap/FtDDjCoEXIfgGiLNvFTI90oatoXrjw7el9poe6lB3aUEOSGE4O9ZQgghhBBCyNrCf4VfIZ23SI5CHLZK5j70wqj89ROnVf7N5isy1BWXGzZ36PMgbIPe1wDsQ5OpoQuiEmlEJE1DZlzG0mUVhXCWSBvim7FABqISAYISt+5DSEIYN6+zVQK4MVmMY6PjFUlNJEMhNT/zrWO6zc+8cqsOTNvaHVfBNpEtazoSz4UQ3dQR10TuM2dm5Jmzs1K1/cwkkq8QuZCCgeyFQMS2SAf/y/OoTXBkd39yQeK2ef33Xd8vhYotf/nYSZnOV1Q6TuZK8tXnR+XGze36nJOTOQmHTLnv+kEdTobjv25Pn9ZKQF5CbiOFKlV/Pf1tMU2nagVELbFasR2JhvBHbOFALXTHYt1IrZZt0cQn3Gp9MFjtVyxi6WsAe9nbFtU6BpwnHktEQnrtIKFbiWE4WIwTMyMh7YDNlJYrDLjwPE0DN6G9ua6nFRI4d4hryFr8HoPu8FpnIW5rEhCvVVBjcTHg+XiPbO6M6Q8IiouYVx1EZ/hiPBE2Zc5x6/UCOD7eX7ZcPZQvNZJ8GaCwJYQsxc+9eut6L4EQQgghhJANB6XtFdZ524pHD09oKrQ9FtbU4chsaVmB2iwq0eWKaoAz0zkVgHhepugPzOpNRlS4BUlLODIMC3v40IRK3JWus/HY6MlFEtKryTMMqfqLx074nbXdCTk67lcTQPilYiHtVt3cGVcJ+eSJKV0LJGZQxQC5DJtneJ5WGUBAQ2ZiEBbE4Fi6qInhnmRUhTTWivQlKiFeHMtoN63nWhLSSVsiL57PylzR1l5XiOM/+/YJGepKyLbuhEpmCFUkmZFYLlRtTaui9iFdrEpfKuInTyu2RFXm9sqLY1kV31gnOndxlFzE8ntlg+hsLQWKJeh6cG1Q+RAP6+3+ewbadP/pQkVFOuob8At1Dhgq1tEW9ussbFcTxxDJWCOE7WJdqHgts8WKJouxjlZeEGsNWfMrHJYCtQ0qZ2s1EVjDj87M6Dm6tQFxCDmnIpZMF+fvNJDRy0lCnGNbLKxD4KxF1u2fM4a9OQvSokgfBz3JjX23hBBCLv4fij9+46b1XgYhhBBCCCEbDkrbdQTpUgjQoPoAH5sHaQV4HpKSVZVkqANAgnZXX3KeQG2sUcAt7Pfu69ekIkTr3Xv7tNsVEvLMTEGOjuU0ZYq0agaS0TBkoD2q+0dnKqRoID+X6+ZtBGvAPjDEqnYHv4pK/D5btjUFi6Qr+nd18FpoVo6NZ1VeTuUwmMydJ48DDMMfhgVxnYyEZGdvSmU0hB4qIPAL6Vh05V6/uUPPGcL2/xwYq6VMbelMhOW2bV36tQMjc7pWFYgeJKQnpSrqIvwhbFiH54pK0s0dMUnFwzrI7a7dvdoVjAoBrZkImfI/nz6nVQFIfE7n/GFc0bClAhei1JfPhorg6wfbZCxb0mvvOJ6EIiGtRsDrpF3C6OoVkXgkpKnWo+NZTeGqoC05ctNQuyaOIZbRZ4yeX8sxtc5hMSDe4xDIliGVqj8UrpGgrnglqPJGgtV1VYBDjAfp4NpDes4QwM3CNng8HDKkvMzwL6wZNRqQrvjlLLF98EjjFhqCdvC11RW2/o8ALhyfepgQ8nIjGjH13w8r/XcAIYQQQggh5PJAabvONA8jA83fGP3Ydf1yYDQtMzn0h5paIwBh27wd9vXg86NaoYDEJgTjx966ry6BsT0k7ye/dljrBDCsCtIPkm0A3bhtMZnOleRE0VYxifRqqeLIg8+NLJDJEJ6oE/jWixP6+d17e3VtSAUPzxW1axcSFkIYshNJ2puGOvQ8R+dK9UqHX/rbZ8QyTZW8/q3/C29ohwzFsSGTU7GwnhdqITZ1xOTZs3PyyIvjuk5NZLqe9CTD8vSpGV03EptdiYimYiE/I1Zak6kQn43yMmR6tSFwOU3/Qg5jOzwfchL9s+DD9+7Vb17R2zuVq0i56sqJXE5lHdKvKmktUwwkdUv+uaDhIRwSf5BZxFJBjv9BKJarnnbBQixD3CKdjOsF8Y7zwS8kiGFWhzojki5V5dxMUUUzjhWxLIklLZnJodMVZQjzwfOv29SmdRc4n0yhKqen0Fo8n0jtHJdLwOqwL0h41xOv1qnbOPDLW8HzoyFLbMdedECZ37Hr6jni2l1q9+xaCFTUfOD9Mp7xh9sRQsjLjb62WH0wKSGEEEIIIWTtoLRdQxqTsKgQgAjF75EkhPxDdQGSsM2CFAO8IEdPTuU0YQspeGIyr1KyeV8QthCS6KX93vFpPV6z3MXt9hiiBcmEZKnjutqR+4rtnfLNg+OaAkXSdLZoy+GxjDx7dlb+8OGjct1gm9x7/YCuB/v9m6fO6IAsqMLvn5ySkGXp8CekSjd3xOXWbV3i1UTWudmCytlTkzntYA1EMEC2FD2pSMMGdQjzbt2vdb9CLN6164KIxj7Qnevf9u/3qm7rTsqRsZwOa8tXHBWDY9lybW+enJst+kO8PK8uG/FxoCMq7bGQXhuI2oqN2/IhVtF3W5FE2FIZHaSNcK3xesTDlpRsR+sCqrZ/y77r+UO7GuaRaVI2GfGHwOG6+//DgC9Hzs3mxTT8oWaNIhO/x6em52miVbttxVPZHDIMTeJWHFs3Cjpokep1GpOvhsjwTFH2DrbpIDokh5vFLI6D/uN2y9TzaCVTIX9RoYAmgkQ0pOcDcT46V5CZwnzRvlwbAcT8cn4TA9rw56KnLaKpXr8WYrVzsxcPxH0sbEgkZIhbWSjNCSHkamcyW9IfkhJCCCGEEELWFkrbdU7VQrg+cnhc5Se6ZiE3m0UrBOWP3zioz4VsRSIUEu+h/dkF+3qwJmxxe35HIrQgHYN9Qz5CrOZLVcFd56hSGM+WNSl7/VCHpkHPzxW1agAf1XFqerci5zMlTYxCWgYDsnJFWyVlPOKnPyGg0UsbDZmyuSsuP/2KIek8H5anT89KuWprd2wwLOyefUGKuFIfMBaIVHS/BkO9kDbF0KvbtnXWhTbqFSCpk5GQVhHgFxLCqDfANWjVhRquFcxCPgaDv/AVXP+JNAS038mKuoVYyJD2OKShJ8mYJTgqZDlAZQISspB2SLCi+gCS0a1VNgTCNZDQcwW/euHmLZ3ywrnZefUAKlkNJEsXvmfwNYhAy/V0KBuuB4StDvnStXt6DHXDpmhiGbK9/nzXl6Saei5Ua8J4IQXIWjEWFa5GbZ0Yzga5DXGMugnXi0u+nNMhWlpVgZ7bJcxl2Fz68UZQH4Hk8VB3QkV/2b6yxorhmmDYXL4yP21MCCEvJ3AXx8XU6BBCCCGEEEIufyUjWSUgN5EK/YcfnJOpbEm2dMXrfbFIm27pjKtgvWVLp2zrSba8DRHboQd2d19KP7bHw7oPJG8hC5HQPTaR02FekZClQq0rEV0wqMzvu41Lf3tUP0+ETblv34Ako5YeF+IXg6VOTeWlUPEHXEHkQcZBTEJSBduVKrbM5qsqbCEOIQRRQYDUJ1Kz6LDFLf+f+9dTsn80oxIWjyE1G5z/Azdvlhs3d0hvW0SFNESqpjpN/81ZriB96qeBIR8hZYNr+ty5OR0ANp2r+B2mWq7qVxtAbFdayMGy7WhCFMcPJCk2g3/GueoQtlpCFVUMuI64HsMzBTl4PiM/PD2twhzHRgUFUqCayPU8TRUjBe1neOejQ7FCpvYG43o1Ayldm5G28DG9PTWq+4aYRoIYfbaoD0DCsysRVsEMqdoobINzw+tyfq4kJYjPVscOhGMtfdwKXCucJ/qU8R7D+wU1C/HaILZErfYBaeqlWKmwlVr3Lc45bJoqiS9Wiq62Y/AazofClhDycgV3V6DWiBBCCCGEELK2MGm7hglbCEPcni8nprU/FkK1VYq2WbSC5mFgkMBHx3NyejqvItN1XRlNF2VktqhDrPqSUXnz9QMLBpVN58ryozMzWgGAZC1k3A/Pzkpvyl8Ptn/mzKz+QqBVw7Q1aYdaAQjhYLuHXjgvtjunac5C1dZ0K7aDRLYbkpdT2bKmUXuTUb39/oXhufqwsOD8IeVOTGblbE1YNwqx4J5zSFvUE2zrTqg0xX60ZsAQ6U1EVIgOdMSlNxWRv/v+WXFaGEKs7zW7emQuX5UDo3OSKdo6+MxrkfLMYdCXWdXzhrjGx+fOpeU//M9nteYgeF2QAMba0NUKIX9iIitu1d+jCm980xuxNDGMzl+vVZq2hZSEuEY1BK55MhqSiUx53u33SDJXbHTiVpa8LR+pYa2KcFsfA724Fcd/7SCOgwFwzV21EMvYHpUUkMBYGwS2Vm1oGtof6na5QBo5GRUZzxSlqNUQFwdFKiGEvHTQf7+5k/UIhBBCCCGErDWUtmsA0q1Idt65s0dEplXuIS0bCNXgI5KngRBt1X/b2HPb+BwkTFFbMDJb0IQrelJH0yG9lb7xOdgfek0h8ZC+xLHyJUdl4HUD7VKo2PIXj53UXtcdvUlJF6o6mAzCLB4Oy7buuLzjVVvrxx7siMnxyZCmftHHCjnrb2vp7fglx5NqvqoJXUjSYslW0Qd5iLRv8/kfn2iTf/zhORWgcH9uxfEHXzUIuPPpovzeQwclW4Yk9DTZ6VcpGHLtYLuMZcry3Nm52rCvheIO1+ToWFYfLyJJ7PjdswsEn+HLZ9M09Xph+FbV8zTpiuqHjrj/RwfnC0GNpHB3MqrXrer4aeQgUYv/n6tAAPuDyvwO3guHwueN1QidMVO29aQ00Yqk7/7htCafG8Ws1/Dc5eQk0rWttmuLWnr9upJhOTtVqFdDNK4rWGcqYkoi6qdp8f5QAazVDZ7+AADXFZ+jlsNFAvkyGVNUOvj9y5dnf4QQQi4OVOJcxp/HEUIIIYQQQlYIpe0aAOmK3ll0ySLRCmHb3FnbPCwMSdqg//aF4bR8/+S0zBaq9R5Y1AoEz8G2f/zoMSlBDFqG9poi2dpcswABjNvab9nSJc+fm9M+WMiwrd1x2T8yJ8+PzGl6EylSdL/ilvx8OSQdiYh2sUIko44AYheJXfTvdsbDWhNw1+5e2d2flL987KSmOvFNXsg0xbIMuX5ThxwcndNjvXJ7l97y7lcUXBDKAF/fO9Amz56b0+7boNsW/8/QFKgpMxiSVhN4/o34kK6WHv/D9+7VJC5qKAbaojo8JdfQkYDtXdeTM9O4rT+sdQGQpbjGEJRIwtbloCeSLtq6zu5EWGV37cu6zWzBlohlaL8s5O6WroR0xMKaOMW1wnOr2ZLYTj0orMdWCa3yFsIZvbmmrsPDcDHLr1nob0/Igx96vT4H1/yTXzssJ6b8Lt1G8Bgk6nLfS+PxVl21kK3tMVOu7W+TbLEq0/n5Q8qCWgxcIwjoiiZ1IdRryePad/E6UK3ip5VxLu0xSzJFX7i/VCB/w7XOXjoDQghZe9DdrncJEUIIIYQQQtYUSts1oFWSdikg475+YEzOTOdkW1dCjk1k5YkTZYlYpiYZz84WVOT2pKIqhO/e26d1Bl8/cF5FnFsToEi7fubRY/WkbiCPIRmRrkSVArpiy3ZEShVXk7aoVoCoQ2I3EQnJps6YbOqIy66+lDx+bFJOTxXkhqF2OTCSVmF7564eTZ4+cWJanj07qwoVohPy96ahTpnKV1SK9rfFtCgW6/LrHDyVzVhX44A2iFlI0lxNYGaLtkpD3HoPPRkIW1QvwBkiCfuWGwdl36Y2+c9f3q8iEdths8b0ajDYDEPWcJzamDCVj7ilHwPH8KVcGXUI/hMcx9VhY2+8tk/+5YVRyZSceuo3GBA21BXX32OQ2UB7TOstULnQFgtJIpLSZDBqFqR+RJFEyJBkNCybuxLSGY/I/uE5mS1U9Jywr5LtyC/97TP6nNfv6ZXxdEnlLhKzjeLSQt8rZPNi08NWMFxmplCV/aNplfzNe8H7ALUO6M+FPIVY9tO182n8HOufKzqSjJiSb1UqfAkEiWWztqaVpngvVfSq3L+E5xFCyMuRuWJVq3AIIYQQQgghawul7RrQKkm7FJCYw7MFTbA+nZ7RW/KDSoO4IZpy/d7xaZWnkLDgY2/dJzcNdcgjhydkLFNUKfrMmRnZ0Zuqb3OhhiAnxyeyems/xOix8Zz2skKoYpAYJB3kb7Zc1dveUbuAVCgSuBCf6K7F9vj8y88Mq5jF8QC237e7VweX9LZF5Y5rulVW372nV4Xft1+cUNuK83nw+VGVzRighn2+cke3DM/MaIfrUCIiE5mSmJYrybBZ751FpyrWjIQprNyrd3TLK7Z3yV8/eUbFKcQz6iGwnsBlBqIVz+lvi8p0tiTpkt/hiscgeSHE8TFd9GppW19QQmY+eXLGr0poEK8QglXb029k0b2KwW4YCndiMqdDyzCgLVOq6nUMgHDE4LD+9phcN9iu+3jTdf3yput6dVgbXmcd6Oa48p0jE/p6P3Z0QpPOuK7NtQp21RUjhJyxyMU3vtbOw0NnbOsBM7g+gXBufM5KaDXw7KWiL3nzRViC5bZa7LpR2BJCyAXwA1oMoSSEEEIIIYSsLZS2VyCoMdjWk9RO0x+emZVEBD2wrspIdLDim6eOREglIQaRQYpCDP/MK7fq8//mqTMyOldU6YeULNK53zgwprIW9QIY4HViIqfbYrgUtkPf6pv29sm3jkxIsWKruMqXba0ZGOpMqARFt2il6srzw3MqccMhv98Uic0AJE33j6RVjqKuAVIT68XQM0jj0XRJQiFT1x4kd3EuuPVypjCmyVYM3cqkKyqV9fZ819XeXkjOWMSUrkRE05c3bu6Qz7zjNvmbJ89IxXakPR6SmUJl3noaJRyE79hc0a8jqN1yn4pakoiF9PnI6Or2rqeCMB42NWmKFCxENoR14CIhcfG55no9V3uB//XYRD31ir7f6Xy5LoY1vGtgDaZuA1EKKQ+xjVoHSGPUOpydzstY2r/+WA22db2KvG5Pr/banpnK6xqMmnB0XmJ5rJ6Oi8TyCrZF2naF+71cnbaN4NJ6jfHpl7q/y7YnQgh5+dKdjOgAUEIIIYQQQsjaQml7BREMH3vxfEaTtipuO2IqWjMlX6zGQpbs6U9pJyuELSTppo6YVg1A9n7r8LgKxHDIlFy+KgdH09KLagLPk7FMyU+12o5WAPj+0ZdgGP6F3joMEZtDjUGt8/R8uizvfd01um9N+zqenJ7O6cCqeMSSiWx53jlgbxjwBUM5kStrP+3WrrgcGfclcVDRgLVDWnYkwvLKbV16jtO5itYqoK4AshLnht+XqxfSrfharuTIv7ltSGVnZyKi+0Q6F0lbpFR99bpQMKJOAL21+DqSqxDgEOG2h6QtahP8fljDFO2qxRpQEwEgkkG2VBWMOMNrgeeXBdcSyWHRuglI8k2dcZXmgV/UIWCeX1mBb34hsSGX5wpVTRtDxkJun5ouaOK4oVa39r5wNQ0NwY7XAOLycjpRrZJYQbzUqIlnnMt69csal/iciwjoEkIIaWBEfwjMexAIIYQQQghZayht10DCQngGvbLNw7ca+erzo5qSLVVtX8Y6rrz7tTvk4YPjcmYmLzt6UjqsCv2yu/qS9Y5cyMOgExYdqiXcrt8W1eFQ6E6F1EUv6smpnCZZa80C89dqu3LofNqvYNCEaUiyJVufG/TOQrbiGNt7UjLYHpWvHxxbkHzEc3tTYR1kNp4t6dogK/E8rPf9d1+j2+H3uOUSA75+eHZWk6w9qYiuM12siOdBoAbZVx+IUXzfWHVdGcuU5ZFD43ouuD4wiT2psJQdR+aaBmoFBLf6ozsWx57Jl1WEYuDaTA4S1dHzD5umdCZCKp9RWYB94+tAKxoMrMFTwQxhi/85jl+VANAljHSu0ZQ6TUUsaYuHNWULIQyBjD2iIgLbaq1DC7GItww6BTsT4fo61hpcM9RL4DVALcR6+c9LEa9aadEwVI0QQsjKwQ9wHzs6JT/36u3rvRRCCCGEEEI2FJS2q0ggYXHrPW6L//7JaelORSWDhGk8LLv7U/NE7rdenNC0KG7zr9ieCkxITdxqD1mFegLIXAjbxo5cDBuDFEXlAIZ8jda6Z7d3x+Wdd2yTr+0fk0NjWa0YUGdVqwYIKgP0VnvXT3Qmopaur+pUVcC+/Xb/OBCMEHfYx33X98s9+wZ08Fi6UNWxX3h+pCaUcW5I9NoO+nEhWItadYDnQv4G5xxIbdQCII2LTtsv/2hYpvP+UC7trYVtqxHUwyLlOpUrqbQdnitqtQIStlpWYBgqcltZRewTays7rsrH7mRUry0E9/7qnEpu3DOPOgZ0+0IbYxjZglv9TdQqhPSxkuufe7AJkrmogsAam9eAoV84b9RVzBXLej0aqxtaCUWcCr6O8zs/V6pfg9WmcRgXJDUSvhD17YmIHBnNrKn8vNSBYo3UaooJIYRcJPjv2aXc5UAIIYQQQgh5aVDariKNEhZ1B5PZkmzpTsi5meK8yoB5Q8owGQoVA1Vbzmc8HWyFbtmhzrj0pqKarA0GigU0Vg50xiPSFg1pIhM1CgDHNmupVb1V3BSxTFMlK7ppUY2AB0q2o5UFIGSJDuv6y8dOyovnszKeLatwROfqo4cnVExev7ldU8Qhz9Db+jviIb39v1CqSjJqSW8iLlMFCFhfvkL8/fNzI/KlZ4br60PFAUBSGPUNbTF/2AkSuhgChlRnKgYJakq6aKu8hsBEXUC1x9PeWMhTx/PrFFqh3bUxdAAnZLA9LvtHZtUFI2F7biavXb8YbgbRnQibEgmF9XPt9m0Sff5t9v4XIYijliEl78LQs2CQmKZvm9aBfQ3PlfS6B923Aa1kLI6FNC+EOVLCyzlHyFWc7OUQuzq4rfbRsgzt9sV5T2XL2kls4PVx10bU0rUSQsj6gf+uY2gmIYQQQgghZG2htF1FcOs8bnmvOI4OzoL0hOyEtEOnKoZZff3AhfqEu/f2qmCFrER3LQaRBcPGIGw/dM+eltULQ50xeePeXnn82JTM5sva0YrnoUIAg8IwuAvSD3UAXq2fdWtXQm7Y3CZHxnJyZqYgVe25xdCrC/IRA7mwj28eHtftITknc2Vd3z89OyLHJ7KaSoV/1L5Z29X0LYQwumjbY2EVyEjZ4rwhnL+2/7x27nYlwipLwcfeum9eZcK52YKcmsxrXy46a7EmpF6DtRWrnli2reeTKdqaZPbjta1TmbjevamI7m8qW6l15YrkSlVfhmL/kLFadWDIq3d2aar5Oy9OyIUsrI+uwRNNI+NYkdD8ZC+uAeRvy36GGs3Ctpn67mqvgX/+vmzXQPEitMVDct1gu/zw9Ex9YNqlYDQkf3FuqMpAQhkSG9cI710P/cC1vt+NyuVIABNCyJUM/nOGoZ8/ccvm9V4KIYQQQgghGw5K21UEkhOJTVQdIDWJPlo/Qer3mSK1CiuGoWFIyt67r1/e9/prVF6iFxXVCMGwMQhPiNqHXhjVpCsGXSGtuqM3qc/Fretlxx82hj7VyUxJNnfEZaAjLl1JiE9PDM+TWMSSfZva5d7rB3SNc0VH07b7R3DLu6cVAqgDwBqxZlQk4HEkcPMVW8QztFv3yFhGxjMVlbZBfYBd8tOgIcsXoUfOZ6QtFtKv4VyC4VvRkCFDXQkZmS3o0LVPfu2w1ikgefvBN+6Sp0/NaGUCOlyR8HnyxLQUGiwk9odjnk+XNEFbqvpiFucHlVZpisfiXCBoMSAM19D1XMlXHEmXbH1N0NdnYlBYyNRzfmF4VuKRkK69AFEJeVrrRMX1gTj12w8MfT6EdKZ27rq++pC3i0ffJ6ahA+GQfO6KR1TCQxLjvdSc3oUghhzHOiOWqdfwheE5qV5kDLZZQOLccDxcUlRgYABbTH/QgAFuvrmG2F2tuoarQYZeDWskhJCXCmqElurjJ4QQQgghhKwOlLarCGTpnoGUii6IwYFUVPYOtkl6M4ZKReTYeFYrA4I0LSRkkKYNkrQQuBgGBtn7kS8+JwdG0ypxMawLQKhu7U6o9ESiFXK1bHsymavoEC1UGNxxTY+cmMzroKxkxFJhiYTuiYmcpn3v3OU/XiijwgC399eGbnkihbKjks5PlZqaGj4xibqEkiQi+FzErrh+92rtvKs1s2gjHVuqaj0CzjNdsGWgPSrTuYoKW1wTpGr3j6Q10fnsmRkVtDt7k1Io2zKVr8hoGj2u/vFbSTLIzXLVlY5YSF63p09eHMvK2Zm85ErOPHGKjlqkVpG0Re8sEqOmgYQuagUMfwBbyE8IT+Uqkoi6KqxTEVOqnqEVDOgjhnTW4WSaukUlgz8oDNcR1wlrXMxjQnJC+tbmobUE1zwRDcmdO7vl+eE5Tbhu6sCwOUcrIVBT4e/L8JPBEOy2L8khUL9zdFLyFyFsUang1UR0owhuHHim5+SK5HS//oYRU/R64VicKU4IIS9PupNh/fcKIYQQQgghZO2htF1FkHo8Op7TIWEQrW+9aXBef+2Dz43Ig8+fl8ePT6oMRDUAZC0SLfgVbIvt0Pl6ZjonM/mKP+SqVr+AzlskIm/b1iVfPzimCd6gu9ayTOlJRXU//j6yMpUt6eCurd1xPzFZ62f1E6sQtK7KRRwfohOJVgOyM1eR9lhIn4OOXTyuQhc2ryYkW92SD7+JPt32uCXbexPSk4ho9QPE8Y7eqBwYSau8VTHoicpnVESg2xYSGt24SPmMzBQXpEyxfNQ/+D2zovUHSANjwJjtlPRcIJrRh4trhXOf1cFptUFbnkjMNKQtHpZ0qSpVVBHU6giQbM0WfRm7rSeufboYWAaw9uBckeLF9W8893BtPY2XA2scaI/ptSsXl64VgLB+/tychCwMl0vp+wY9xn/27ePyhe+d0kqHQKoiIawD1DAErViRdFEuio5ESLIl6PVaLYK1tFQO0EPCEmNIGVLItdQtKwMIIeTlA6qZ0MFPCCGEEEIIWXvgrsgqcffePq0tGEuXtA8UKVDIU8jR4HGkJE9O5lUWnp0paLq2Ea1E2H9eb9kfnSup/FXJ5uL2dEOqtitnpvNybrqgQ7Fwu752qhp+H+q27oTuB8layGNItXy5KsfGsjI6W9AhZJCkELJdiZAmd/1b4C901cLraqLTcXW77T1J2daV0JqDeAg9vYaYhqHitnnCdCDxdJ+2IxO5smzvTco1fSm9rR9fh3+sd+lqUtcTw/DrGSB0uxMR7WutndY81DvXngcBPId07lxRrxMkoj/Ey1YBPZ33hW0AzhUp07liVQeeoeIAaVIIUawH+0YC9ZreNtnSFdfrDvnbvIbmYWXVJmGr5+WJzOQgVZcWtnouLtaCzlxP3ryvvy7vnzs3p93IwfGR2sVrHZw/xPHF1BXgehYrrkRDlu4HT12JsA3AsbQywkLq1/89BpbpgDuOGieEkKue4VlUMfF+CkIIIYQQQtYDJm1XkceOTuogL3zDc2osrylLJG+fOTOrCdjpXFmFKSoLUB8AUYc6hEZhi77XJ49PSRYDs2pfD5tINmIAFm7rh5R05KmT0ypsIXKR/MRj7TErmM+lw8oeOTSmw78g/oBXdvRWf0jNoY643LSlU/712JTWDdT7WVUGeir4IPeCPl48Z/dAm9y5s8cfLpYti1u9sEaABjykWCF1d/WltJ8Wj2P/SA2jg7VZeGK5jufJTL6q8i9uhXRQGiRgKmqqmNQO2trGeL5fFeBKZxzDxkrzBn1h+2AuWGMFAH6LDlycE65Bq3SorsX15PnhWblusEOHsTxxYlo7g/EETdnWxPFyYJPiCo1qBAPrTEPX9e0XJ3QADGQ+3isQ5agWRlMwjnuR1bXzwFMht4PahuolPB/9vf5V8MW01lBc+pIIIYRcQeC/Q+jR/7lXb1/vpRBCCCGEELLhoLRdRYJ0K9KkEJC4VX+2UJbTUzm5YahDDo6kVXRFtZfVkXTBqA8cg6T7+oExFbxl54JEhQiF/ETX6UyhKqWKozUCEIKm46dH8fitW7tV4iKdC/wZXchu6ge/UkCFm2j/68FCRuJTfvduOATxK+I4nu4D3a043k/fNiQl29V+O/TjYrjY8FxRj4mu3tNTeR1Y1RYN6X4g77qSYT3+tYNtctNQh/zNU2dkIlPWNbsO1j3feGpyUwdx4bpZ9RoAJGAhZiFo8aWg4gCyEZ+jNzcaRhXC/IgnPsV1x7ngPIL0MK5BKhrS2/pb1TroNat9RAfvC+dmZCqHdLEpyahfJYEzaxTElwOsrWw7UsL7ImTKD8/MqrjHMYPEsieuvj5uEDN+CeDUX4r4bT785RC2Zu3X0plkQgghqw3+Tj8ynl3vZRBCCCGEELIhobRdRXb0JOTgaEaFLIZfYdgYBOPmjpgOHxueKWjHKrps0yJy1+4e7S6FsA06bCFJg75RYNRuhx/sQM9qVesVAm+oHz30skIEm5IvOzKVK8tnHj0mL57P1KsSjo5l6120tuPWpaXjOipBUVsAWYpkcE8qop12737tDnn77Vvr59Y4KA3rPztTlJBZ0PNDr6xlmtKdCGttAh4/NZXX/l2kRSGaMcQsW/X0OEh6Yjma3KwN2ULH7my+6vfu6vl7KnPxGLQluldxDL+D1tPaAaypXftpG+7xR98qvvGE1LUMvZ5GTYhu7oyrQF8ODGabLdqSLmU0FY2+XVxLdPoWKtVamlouKyqHY35dxfeOT8vmzpjkSnZ9PbgOSDAbcuH1u5II0s0XC95/EOq8G5cQQq4MgkonQgghhBBCyNpCabuKQMCCr71wXqbzFYmHMYDLlslcRb5x8LwOyHrtrh4dUIWELbbHgK8goYshVHMFiDokKh0VdUix7u5v0wTsUFdcqxEqmPYVFBR7IvGIJbv7Uipsz80WtOsVvXQQuXv622QkWpBS1e+ObZUURZ8tNGlPMqzrQRUD1v2lH56T0XRJZTTWGnStBjUOEKD4PcQoUqyRkKXC9nV7+uTB50c0YYvUK1K4EHMQkpaBjtgL46v0FvuqK4W58rw16ZAs8aSMqgYDdQ8JTetin7WyB6lWPCnb5XnCEH2rr97RrZ+PzBVlLl9W2VmoenI+XZKK66nMLbe4DsGqsFY/nexLY3T7nprMazUFqigwiOtyEiSIMQxNO4ZDhtYObOtJqKjH8DUdGteUUr6SuNSV+T94uMyLIYQQcskMtsfWewmEEEIIIWSV2PHRh1a87en/+sCqroUshNJ2DciUbelLReXOXT3yxLEpFZ8S9WXorVs75WdeeSHB2pjQhVzsb4/Kpo4O/aYJFQW7+1M60OzJE1M6GCscMiVs+52sgVTcN9guH7pnjyZsdThXTf4h8Yse3aHOuGzqjMl3j0zNM2RIyUJOQubGI6bWLzg5PLcon36kIJs74rKrP6VrA0EqGJIZIhGVDxDFZ6f9nl6IXshiJGznClUVtlj/odG0yrmBdvT6ViRkmZIrVbUfFQlTSFGtc2ggGLQViFQMbWvVTNCcOkUqdTxbUhE9MlvUa3TDUJd2BGOdUa0bQBfEwn017h7rQSo4W3Kk6tq16127Zou87ngcaWNIbFz7YLjZcuC1Kjmert00PDk/V5KQYWiXrj8MDWnky1NFsBIa+4OXA7K5FvgmhBDyMuBnbt+y3ksghBBCCCFkQ0Jpu4oENQfoKD03WxQ5MS3Zsi1buuPyut19WpeAtGdz5QCGhQ22R1XS3nf9QD2BG/DMVw7Iicm8DgSDuMNAL8tC16olPcmovPn6gbr8/edCRWbyFZWW6EOF9GuPh+TERF4Tr43As8VCpkpDyNT6MDJPJA3papmypSuhtQ3fODCmx//m4QlNBaPbFhsiAQy5OJ33E6wQskfGsipop3IVX5yapvTEQ9IRC+sv1BRgXS8Mz6kwXkr4BQ+ttEoWEvrIeK5BOHry5IkZuXYwJdcNpuTYeE7mipUlhSWGgmE4GoKtSObW91T77WJLQbcwBrBB3p6ZzmuNwrLrFdH+WtRpWBCzEL2uJ6em/eqJgKV6aPFOCaomXiqBJLdqv1lOFGvX7mU4LiGEkCsD/DeJEEIIIYQQsvbwX+KrSFBzcOfOHoyzkmjIkruGOnSAF4RtqerKpo6YPPjciG47XaszgCDFbfB37e6tVywE20DEIsWailpSrg04Q//rNX0pTWMGt/NDAOO5X3pmWNOuuI3fdkTGnaJM5kz93GshKCGH54p+klSaBClStM+enVWTt380LccmctIWD+n5QSzatqvyFjIX8q6st++7kq8UZHtvXK4daJOJbFmHfwGI5/62qPbB/uQtm7Tn9wenZ2Q6X9Y+20uRf0igBgPWQKt0aNX15MxUXjzD0E7cxfpozdq1xJVqlaZdTorO5ity1syruC5W7BUlVbEJhrnhHFqJ6ZV0xTpLDfhquj4rWQ/OfaWdvRS2hBDy8gLd9YQQQgghhJC1h9J2FQlqDiAye1MxeeCmwXqlAL4JQo8tErBI40LuImmKxCkEH27F/6cfnZOxTEmrESB6kaTF/pDC7W2LySSSm4anXbnYBklO7OfhQxOaqkXnLOoXjo1nNeELPNeVBIZpRcNSms7NqxOAAEZ3KkRmKyD7kEpFBy+EM9aO6gUIaZzfYEdMnj03q7UPwQAxAIk7PFOSPb1tcsc1PfLdoxNychJD2Tx9/omJrBQqtvz0bUOyqz8h/++3jl+S/ItiOJllStW+MJzrQlvufHKVCwPeFhOYugskXS9xBgsuwXgtXauduCuQmlgLKoojIUOcFp21wfNDhmjy92KBTL/Yp7HpgBBCNi74ITIhhBBCCCFk7aG0XUWClGwgaIOag2CAF0DvLETrlq64PHF8SmsJgHbL2p6K3BORkLTFwxIyY1pNYHievONVW+XxY1Mq1O7Z16+VChPZkmSLVRWg2AbHQ4csem+rhSAtCqGKWgV3QXoU6VvHM/TYzaYuEfFlKKQf6hbQnfvqnd26XiSIIaSxBgjbWpC2DnaHY3o1kf2Vgv8NoGEYWh0xMmdrpQL6d0tVW6XlUiw2OOyVO3q0RxcdsLlSRUq2p8PXII0XS4ouJyTRK4xu2UsVl/XDXsQOsKmfUl4cpKshztGX2/hyLXZtgrUYK62VoKwlhBAioj88xt07jTVNhBBCCCGEkNWH0nYVaRa0zeCbIFQiHBxJq5zNl23/dnyd5OSL21QkJO3xsKZ1x+ZKat2G5wo6jOzaTe0qQSFnf/dfDsmL5zMqKCFDD4ymNdGLxx564bxU7Dm9zb9UdlS+ol8WvaiNcg7CVROeavdqj9WSmU5tOBhSulgXUrmRkCVdyagMdca0ugFpnK5kRKsN5g04E5HOWEjlMtbzzJlZFc7QuBOZsnieK5WqI0V7eTmKbtVUzJJy3k8ONwIBjMFfwzMFFZfBkLDOeFiTy/kyhoFBTK9MSEI+Q9heiSARvau/TbLliszkqmK7rq71UteL6xTIen35g/chIYSQDQ266PHviaX+PUMIIYQQQgi5/FDariP4Jgi1Bx2JsJyazOuwj0QUQ78qKs7CpqmJSohQdMaWbEd7X8ezZfne8Sm5blO7PHJoTL5+YEy7cIM0K5ptq66rCV+I4wdu3iTnMyWtU3DE0ZSs3347X15CmhZRfFujPWZpihYDtZCuRZWBDuSyPWmPRcRzPRloi8jIXFEfgxS9eahDciVbhmeK86oA+lLR+u8/9tZ99YqIRw+Py7GJrJ7fYjSKZWw220LYAuyvWHUkV75wDpDYW7sTOqDt6HhWz2Op42D4FwaxaerYbd2JeyUAvV2oVCVXrKqEh3CH0LaXMa3eInIaQ+/wnsH7pVipSr5yhZ44IYSQNcOoDeNkry0hhBBCCCFrT/Od7OvCn/7pn8qOHTskFovJHXfcIU8//fSS28/Nzckv//Ivy6ZNmyQajcrevXvla1/7mlypIFGLQWKoQsBHfA6QTkVP7et298nO3qS0xcIqGLtTUblhU7u8/RVD8qqd3ZqqPJ8uyOhcScbSJR1UBslmO65M5spycionp6dy/oApzx8aVSg7WskAkG7d0hmXjkRIdvWlJBIyJVNcvqi1bLuyqTMu73/9NfKK7V2asgVIdVYwwMvDcLKKVhuMZ0oyW/AHiLXHQgu6W49P5uTPvn1CPvm1w/o5Ejs//5rtKqrRf1uxPTENkUTYkDDEaa27AR/i4QtFDv5os4VgC8jocu3aYiCZfs0y9TwgbPFxKRWp+3ZFX4eQZbUcPnalgAqJ09NFmS06+lpATuPjpXQBu7XhZ3jvYHgahS0hhBCA/xrgTp/NnbH1XgohhBBCCCEbjnVP2n7xi1+Uj3zkI/LZz35Whe2nP/1puf/+++XIkSPS39+/YPtKpSL33nuvPvalL31JhoaG5MyZM9LZ2SlXGpCzSJSinuDwWEZTjPgFwfYzr9xaH1R2ejqvadobhzqkNxWt99/i+T/3F0/K0fGcCjUY9lNTOblla5eKVzxPPEN29KS0x9WoKTt8kxWxTLl7b5/u46vPj8roXFGFXF9bTPIlW1YyWwsSdCpbkj//7gmVoSUMKVNBakhSz8WUM1N5GU2XdNtc2ZaRSEFMA1vMT3VCKM8UKvK949P12yz/4OsvyvPDc5pqdWtvRqyvULb1c8jcTMmWQnV5iYgtcPzgHv+gwxadtFPZshQqji9lV+Aj0QfcGQ/J6HLlussA14zlQG6vdmL3UmRtI1ijYTtaHUEIIWTjETFFa5OaSRcr+u8WQgghhBBCyAaTtn/0R38k73//++U973mPfg55+9BDD8nnP/95+ehHP7pge3x9ZmZGnnjiCQmHw/o1pHSvRFTY7h+T/SNzMpNH32tYskVbvv3ihErbxQaVBSCVemIyX+9mNUyRcMiSW7d26oCxh/afl8OVjByfzEjZcXSjQO7iVvdHDo3rfj7zrWM6MAxyNFPKrfibr2LFlbJdlrBZUQlabTCPqGLAIKy+tqikS1VN/yL5K54pmbK9INGq68dt+IlQ/TbLH5ye1fQrHjENv88W+8RxClVX4iGznrhdTiamopa0oUrCMmQiXZJSzbei3xeD2UC4lrpd8jZQy+/2LVbnD/i6WPBc7AcduhDalavAhlb5PTkhhGxYtM++BbiB5btHJuUdd2xf6yURQgghhBCyoVlXaYvU7DPPPCMf+9jH6l8zTVPe/OY3y5NPPtnyOQ8++KC85jWv0XqEr3zlK9LX1yfvfOc75Td+4zfEshZONi6Xy/orIJPJyFpxbCInU7mSCkBUCiCtGg1bdRG42KCyIKH7rRcnVMCiNgC+FN9QJcKmbOv2aw8Uz5M8DGVtp/iATlb8D3IYn8/kKn7i0/WkusSwL9QS6AA00z8eBLDuyzTEwYCz2lqwL3Td3ruvX/75uREdJgYRDEEZDpkSdTwpiJ/KDQi6YtGFG9Q2IC2MNG1jygdi23ZCMjxblIrjqmgd6oxLvlyRsSwGnLUGPbYOho+JJ5ZlSkfY0PNNRUPiuK7kyq54iwjbQM7iF+pwx7OL996uFOwLolYvqXHlC1tCCCEbm8XuLcF/wcYypTVeDSGEEEIIIWRdpe3U1JQ4jiMDAwPzvo7PX3zxxZbPOXnypHzrW9+Sf/tv/6322B4/flx+6Zd+SarVqvz2b//2gu0/+clPysc//nFZDzLFqpybKdY+Q+rSH8h1z76FtQ+NoM7gb546oz2jGCyFtCkEKqRqezwiPzwzo12ywzp8TCQZC2slAYaBlWxXYiFT4hGzLmdDluEnWO2lO0+RSoVcTcXCKjxxfDynalx4nkph1B8Yhjx3bk5ePJ/Rzt3gcVQRQFZC/PYnIrVzQC+tKdmSLQdH5qRiO7J/eE4mc/O/CcQ5orfXd8eeSlikP8/M5PUclqNou9plazueWBFL4mFLk7VIDIPFzh1rg1i/nGoVrxXWrt8Ev4ycLV6GqyA0TAgh5DL+vT/YwU5bQgghhBBCNlw9wsXiuq722f7FX/yFJmtvv/12GRkZkT/4gz9oKW2R4kVnbmPSduvWrWuyVgwL29oV14QpBoYNtMfkna/epl2zGEiGJC5SsFP5sorQH7uuX37ils2asJ3MlLXfFglWCNn2sKn7Qc3Bt49M6mCxHT1Jeb44J/myrSncvlRMpguVmuQ1pCsRkZu2tMvZmbwOPfNq/QlIk7ZCB4LhY6GiCVevIYYaRW2A4adX8YVkxJJvHhqXdLFad5LYtByIYU9kIlepS1GIVAjlSr4is6dn5JkzM1KCza1157qu56eBIWodv382CMbio3/c5cF1aIuaOoAMQ87Op0vLSkZnFQpnX65VAxS2hBCyscBdQfdeP/+H64QQQgghhJCXubTt7e1V8To+7nevBuDzwUG/77WZTZs2aZdtYxXCvn37ZGxsTOsWIpHIvO2j0aj+Wg/QO3tkPKcDu7qSUXngpkGtQ4CwRdftRLakSVU4Q4jNszMFrQxQDE8lbUciLKloWIVotlzVlCok41yhKps645rc3dwRl4GOmErK58/NybGJrCZmnx+ZkxuH2uUX794lXz8wphOgj4yhHmKhecNRIU0h5XxJClnsd8VCAmMmV397VCVtRywsr93TK1/+0bA+F8fCc4KKgVYg6Qtwri7EbMNjgZD1jOC8TRW8lwL2lCm7YoqrtQiobFiOMk0kIYQQ0pKOeEju2UdpSwghhBBCyFpTM4TrAwQrkrKPPvrovCQtPkdvbSvuuusurUTAdgFHjx5VmdssbNebV+/slmLFlh+dmdWP+Bwg9QqRmy1WtbcVA8IgLqdyZZWrSJ1q0rVWp3DHzm4p2Y4OM8uju9X1ZKgrLtcOtMn7Xn+NfPodt8nHf+pG+fUfv07TvZZhSlssLNPZijx+bEoHnKGSAencaMhUGdvYNoAuWVjhBe7SQ2o1JJ3JqPS3RWVTR1x+8ubNsqu/TTtne5JRadfjGX737iI1AZDB5jLvNDyMl7RcdS9Z2DaCPaRLTj2te6kEPb6rRegy7HsVl0cIIWSDEwlZ8tjRyfVexhXJ7/zO72hdVOOv6667rv54qVTSGQw9PT2SSqXk7W9/+4KgwtmzZ+WBBx6QRCKhd5L92q/9mti2P0A14Dvf+Y684hWv0BDC7t275a/+6q/W7BwJIYQQQsgGlbYA1QV/+Zd/KX/9138thw8flg9+8IOSz+flPe95jz7+rne9a96gMjw+MzMj//E//keVtQ899JD83u/9nv6j+Erjz79zQl4cy6qUxUd8Dnb0JDR5WqjYOjDMrxVwZSZfkQOjaR381ZmIaFIXUvY/3X+tXD/YLt3JsGztjsvuvpTctq1LPnTPHk3u4tbFRtDOmilVNZk7ki7KQy+MysOHJnRI2JauuHQlwhINm9p9e8PmNtnak5Ao4rI1IHTxC8eLR0LSnYjIrv6U/NyrtsqH790rQ50xmcyW5datnfIf79mjg8UGOqJyw1C7P8ysBs6rMx6WV2zrkq54WPtmFxOgfW0RSUYtTeKuNhcjObGc1VxTrSHiJcGcMCGEkNX672VPKiJnpgvrvZQrlhtuuEHOnz9f//X444/XH/vwhz8s//Iv/yL/63/9L/nud78ro6Oj8tM//dP1xzHXAcIWd4o98cQT+m9hCNnf+q3fqm9z6tQp3eZNb3qTPPfcc/Krv/qr8r73vU++8Y1vrPm5EkIIIYSQDdZp+7M/+7MyOTmp/0BFxcGtt94qX//61+vDyZBAMBtimuijxT9U8Q/hm2++WYaGhlTg/sZv/IZcaaCzNmIZMtSVkJHZgn4OkHxVPE8Onk9LruSowMXgrIrtacJ2Z29S5SykbKnq+PUHkyFpj4WlKxmRXX3J+nHwOMTso4cnasPJXKlUXR3ehY5YfB3JXnTgIqW7tTsp4+mS9r0ieYuv4RLX6ms1cdudCMl/uGePymN8swYxi3U/fHBMRuaKmhx++NCY/OsxS9O96JBF5208YolluxINWxI2Da2FwHAx1BTgGz8MBfNcV7K14WABGKIWDVlatYBeWq9VEvclvh7+gLML50kIIYSQxfFqP1TexEFkixIKhVpWeqXTafkf/+N/yN///d/Lj/3Yj+nXvvCFL2il11NPPSV33nmnPPzww3Lo0CF55JFH9N+9+Dfw7/7u7+q/aZHixR1kn/3sZ2Xnzp3yh3/4h7oPPB9i+FOf+pTcf//9a36+hBBCCCFkA0lb8Cu/8iv6qxW4JawZVCfgH7xXOtu641qNMJEtq9B83Z5e/TqSsZCxkKCQrZ/97gnJlU3pTUZlPFuW54dnJREJaUp1rlCRT33zqDx2zL81cbZQlesG23VA2WcePaapXUjav37itA4789BH67jSFg/JLVu66uL21GRO+2wjlik3b+lUMWpZhqQLtswVyjpALJCZSNnu29QhU7mKrmNzZ0wrHSBskRg+MZmTiUxZilXHHzgWKumQswjEcG9SaxwSYUtF8GS2IrlyVYecYXgZJHbR9uoCFUDUQtgmIpaeC/poUYGLxwNdfznmegX7QNo3bBhSXYtY7xUM5TUhhJClSIUvdN6T1hw7dkw2b94ssVhM/336yU9+UrZt2ybPPPOMVKtVefOb31zfFtUJeOzJJ59UaYuPN910Uz2oACBicVfZwYMH5bbbbtNtGvcRbIPE7VKUy2X91TiIlxBCCCGEXF1cEdL2ZYtX+0an4WMjkLforkUFAdK2ELZI3CKVGgtZOphMhe3RSRnPIq3qd8wiIbv/qTM6lAxdc5vaY9qNixQuMEoiyUhIKxBQw9CbDMtouvYdl2HIWKYks/mKDjrDsK5s2dZOXchMw/Nl7nimLGdmCvKdo5O6TaHi6PAzdAlnSs68U6nWnosuXpQ9YHvTtHQfWCOSw1h7tuzo9pDCjRIWj0HmYj3otG0caOauxstSs8E696yh37c2K23DQGFLCCFkKUq26N1CuGOGLOSOO+7QOoNrr71WqxE+/vGPy+tf/3o5cOCA3j2GpGxnZ+e850DQ4jGAj43CNng8eGypbSBhi8WixOPxlmuDPMZ6CCFkOXZ89KH1XgIhhJBFoLRdRU5NFyQeNjWtChmLz1FlgMQqkqtIyb54PiNopE3GLJnKVlR84n/Dc0UZz5TkzHRe0sWKFGp1AqVqRb5/clJSsYgKx7lCQc5M5XUgGMStKYb0pKJy+/Yu6U1FtdYAtQxDnXGtNRidLegv9Oxi4Fexiuf4BMHTqo2haCUpVtC962iqFvuu2kjALlR9SO0mYpaKWxwjbJqyrTuh54N1t5hvNi/liV1O5atiSnWepA2GgC0YkHYZQPIXBAkiDFNDTcQG87aEEELIkr3rz5+blbfcuPD2fyLylre8pf57VHZB4m7fvl3+8R//cVGZulZgHgTmRgRA8qJijBBCCCGEXD1Q2q4i6IvNlSFGKyo28TmE7UP7x7Rj9uBoRrthR9IlTZqiGgDSsFyFtvXF4rmZgthNJrFQhVysqmSsOPjlasXAlq6kbO2Ky5uu65efuGVzfUDZg8+NyD/9aFjGMmUVwkjDxkKGylCkTJv3j2NnirY8fmxKulMRXRckL5KwraSt9uA6jmCsGrptu5Jh7czFIDRvkaRrq683C1PdBkK11rN7uWg8DvbrOSJYKe/+JIQQQuYznS1f6OInS4JU7d69e+X48eNy77336oCxubm5eWnb8fHxegcuPj799NPz9oHHg8eCj8HXGrdpb29fUgxHo1H9RQghhBBCrl4uTPgil50bhzpkqCumyVd8xOdI2AZDwfAR3bRbu+OypTsh/e3RC1UKtaQpaPaVELToyIW01W08JG5tOTuT14Fe3zg4Jh/54nPyD0+fkb954pR87l9PaqUCKhCilj94LFfxh5VB2Ab7nyctDX/4CHp1b92KbzY8XetiQCRjvxCySPgiwQtCTe+wsCkStowFX18MrAldt6v5RsVKcQ2u1JQt/5ASQghZL/Cf/uCHwGRpcrmcnDhxQjZt2iS33367hMNhefTRR+uPHzlyRAfsovsW4OP+/ftlYmKivs03v/lNFbLXX399fZvGfQTbBPsghBBCCCEvX5i0XUWuG2yTE5N5lbPolsXn4IXhtDx+fFI7YgfbYypQ82VbktGQ1gqcns5ryhbCEslVz3P1FsWAvrao7Olvk6dOTovj+KlcqaVj8TUM9epIhOTAaFr3my879aQqKhGa+2KNmghGGjggCNSiV/c/3b9VJrIlOT6RX3rCtONJNV+R4dmC7Blo04+VhmQu0sQYjNadiEi+XJXZot9xu9w3i6ho2IiEjVqVhGGI4XnLpo3NK1g8E0IIuToJ46etpCX/6T/9J/nJn/xJrUQYHR2V3/7t3xbLsuQd73iHdHR0yL//9/9eKwq6u7tVxH7oQx9S2YohZOC+++5TOfvzP//z8vu///vaX/ubv/mb8su//Mv1lOwHPvAB+ZM/+RP59V//dXnve98r3/rWt7R+4aGH2EFJCCGEEPJyh9J2FQluJzwzXdBu2eDzZ87MyumpnKZY54oVyRarkoiGtDfglq0dEo9YcmoyJ8WqI7bjavI2avoCE3L1DXv75KNv2Sfv+h9Py5HxrF+rUKscwMeq40gqGpPZQlWKFUeTrUjmIg2rSd6aEITggwxGb2wibEmu4g8NayRbcuSPHzmuNQ7NXbStwD5PThV0K9Ocvy2qHEKmIfmKXU/irgRsijVutMlZng53wzVfXtgCCltCCCGXm+5EWH94yrTtQoaHh1XQTk9PS19fn7zuda+Tp556Sn8PPvWpT4lpmvL2t79dyuWy3H///fJnf/Zn9edD8H71q1+VD37wgypzk8mkvPvd75ZPfOIT9W127typgvbDH/6w/PEf/7Fs2bJFPve5z+m+CCGEEELIyxvDQ1npBgKDGJB+SKfTmnpYTZqHjkHa4puezzx6TE5M5rQi4RsHz+u299+wSdO36UJVbhjqULE7lS3jFdKO23jYkMGOhLiuK+GQJXv6U9IeD8mBkYycnMxJoUmCQsr2tUclU6yqIIX4hTAdaI9JtlSVmYJ9YVvLUGmLvtpSxVkg/y7Fl5q1/aKSIRDK+FpXwpK5olP/GlkeJmgJIYSsF0MdEfmNt1wvb7t1aL2XQq6Sf/8SQq4udnyUyX1CyMo4/V8fWO8lbDiYtF1FmoeOAXzTA4GLz1GDEEF01jDk8PmMHBrNqOTEYDHUGqBOYE9/u+wfndOUKmQr0reQqEjqXqhKSOnzKw1mD6HadLEqpmnoADTcYn/btk75b//3LfLfvnFEvvSjEd1OKxhq21QrtqZjke58qRg4LdOQtkhIcuWqStq2WFjP4XIOFQNI4baYj/aygcKWEELIehGPhvSOIUIIIYQQQsjaQmm7ihybyMlUriRhy9QKg+MTuQW1Ca+5pluePTsrDz53Xoq2qxL13ExRIiFD8L+DY2mxHZHuZFgHfUGwliq2VgaA0XRZylVH4pGQVEvzKwwKFVclbDJiya6+lNyxs0cGO+JSqDgSMUUlL7ZD32487GoKdyxdEtNwpdJQI7uUD100hetCHLu674BipTpPLF8OUBsx0BGTqVxFZfcSs9IIIYQQcpHgDhxUPBFCCCGEEELWFk6XWEVQTQABOzxTkLPTBXnu3JxWIyCBC3H7oXv2SCISksNjOSnXpoAZ9cFghvS2RcQUQ2IRS27c0iEdibDK31LTXK50yZa2WEj7bqVBouIjyi8wiAwD0ZDGffC5EXEhfy1TQkjD1raFWL7v+gFJRUMqiRvBbpH6bTWLpFHYmk1fb07UNorgy0HIEImELUnFwloVgWtGCCGEkMtHRyJS/2EzIYQQQgghZO2gtF1FktGQJKOW1h+Ac7MF7bJFZQLELUDfbcV2JFozrm7tV8g0Nfl61+5e6YiH5MhYVtOkSNo2g+7YW7d1qbhtBtIWvyq2K8cns/K5x09JRyIkvW1RPQZ2B3mLfX/x6bMyV6gsSM5iPVXHq6d7FyN4eM1mhmG4WsWRw+ezMpap6BpX7VCrtmdCCCHkygVd+xxCRgghhBBCyNrDeoRVZCZXlvNzJam6rvbEIuE62B6VH56ZlX/4wTlNzY6nizKTr4jjzTeiqailKV10tfalojKRLYtliPSkopItFeb1nGKW3P6ROckW7QXSNBo29bj4CHl7diov+ZItQ51xf9BZQyp2rjnCu0JaSdpW+hTrR3duyXYvSwct+n9Xi+CcgiFg+BzdxJ67MOlMCCGEvFyZypV1sCrFLSGEEEIIIWsLk7aryCEMB4OgrHXHzhaq8vDBcZWx6KH96ydOy7Pn5iQRthZUB0zmylKo2HJ8PCudiYjsG2yXeDgkhbITBHfrVQpoVsDgsiBo6jVIUv+XIZ6LQWa2CtPpQkUHoWE7eM+V9MAulTRdTtgGbzJULJhYy0W41uAcV8LlcriNfyjcho/o56WwJYQQspHAINSHXhhd72UQQgghhBCy4aC0XUXyNRMLyWrUagwwLAuDwSzL0PTKTL4slmXW+2gDqo7fRet4nrw4ltXn9bVHNZ0bCZkqQIM0KKTtTL467/l4LBG1tLsWn+SrjkrjaO25SM04jrviGoOLne8ViFa/n9evYCjanuQqzkVVJ3gX+UZd6XaNeSGjxbm2WuOaVD4QQgghVxKeyMOHxtd7FYQQQgghhGw4KG1XkU0dMTWCQQIU/ba7+lIqc0dni5IrO1KsuJq6Rdq2WR7i8854RKUn+miLFbvWkxvSbtvGFCiOEUhFCNK+VEQG22O6D9tx9YVWeWqZUrZdcVxPKhdpYiE6U9Hl3zLoyYUcBlgTkrwrSfMuhiaCl1tbLVW80sOEQoZETGk5XI0QQgghPvjv6ni6tN7LIIQQQgghZMPBTttV5PrBNnlxLKNy1vREBjtiUijb2kHriSHdyYikoiGtQehKhKVYdVRuQj5qhYAh+hgkr+14ki7aEjJEB44hcbsYqGNApULJdrQSAbuC5O1JRaRq+8dG6tex8buVJ0ghfQfa4xLOlSWH86gJ2QXbGUj/emuaUL3YGWRl25NoyJBUxNLruoozzAghhJCrFvwMFoNRCSGEEEIIIWsLpe0qUnY8MQ1TehKmTOerMjJb0mqDdLEqiYil6dj2WEi2dCVkZLaoA8cgQ5FUxZCtIHkLYevVOlURDA2ZjqZt52qDxxrxE7WGDj9DDQIGkIEIErZVV6IhSMqqSktwMa4SgnZkriiGB+FpSjhkSdV2JNcU2YU0TkQNqZavXBOKawyBnXbsusAmhBBCyHz62yJy3w0D670MQgghhBBCNhyUtqtIRzwsW7vikilVVdpiCBjSr1Cl6LmFTkW6dnwsI6ZpSH97TPJTeb9vtjatK2ka88Qq9GgR8nWJKc4QvufnirKpI661C23xsFiGKamYpZZ2Jl+56PQr1mqaouLXx5POkKViuhmnJpivaDz/fPCx6nhak3ClL5kQQghZawbb4vLAzZvXexmEEEIIIYRsONjouYps605I1fVkJleWqu3Wfnk6ZAw52njEkkQkpB2zqDEYy5S09gDCVntcXQzvclumRHf1JSWJUlaY99qgs6C3NtgmX7FV4FqGIa/c3qmJ3cNjWSmrOPZp7tFdDFQJhE1T94u14RcSuxCerWglQFX8IvVr+hUK6/Xm1P0a6LM1JFZLIlPYEkIIIQvZP5pe7yUQQgghhBCyIaG0XUVs15W5QkVyFccfkIVhWZYhqaglvamI9KSiMpEpScX2qwzyJVtc11UxGjJNvzO2xW37eBySNx4J1YaLGdo5Fw4ZWo0AKg5kcUUKZUdm8mV5+NCYHB2HsHXn9dCuNHFbtD0VyHC0gW9tqK1dETowDWtzV9ZBu1oeFfs1PP+cUO3APltCCCGkNfih5sMHx9Z7GYQQQgghhGw4KG1XkceOTmlyFv2zqENA4hWDx/raYvKBu3fJ7du6dGAXErAzBVurEgzDmCdDVTA2vFhhpGpNQweU4Vc8ZEo8bGl3rikXngsxC9/rij/ALOi/rTndl0SQ6r2auZA1JoQQQshi4IfDZ6YL670MQgghhBBCNhzstF1tPEOililhy5erPcmI3LW7V37ils0ymi7JUFdcchVbqhVPUGPbEQ+JaRjieYZM5sr6NSRpUXMQqhlX14X8DauIhehFRQF+BYK3MTjq1OKq+LrreRedjm3F1dQkgPNGFQPO+2paNyGEEHIlgDtTNnfG1nsZhBBCCCGEbDiu9sDkFc1rdnVLxUbKtar1BfimZ+9Am9w01KGP7+hJSKZkS8Tyu2JhGCFiUZsw2BlT0YuvoeoA0hHboAfXdhytVajaGFjmPx642FZOFruJhE1N+m4kgt5cP3FMCCGEkItFe+xZI0QIIYQQQsiaw6TtKvLs2TmVsBCu8Ifolt0z0CZfPzgu+0fSWpsQtgzttEUXLbaJhi25dWuXDiUTycxLxqL3FuL3yPmczJX8ugOw1PdSeKw9HpbBjpgORJvMVtakwzUYioaahvX4Xg/Xkl21hBBCyEsD/y0/O8N6BEIIIYQQQtYaSttV5NHD43VxiA9T2Yrs6EnK48cn5fRUTjriYZWo1VqvbSxsyvbuhErWU1N5TdAGAhKPuWLI6GxpRalRSFM8Ox4xZXNHXI81PFO85HqE5tqFxUDnbl97VCIhSyq2I7kyunedecPPLmZ/q7lWQgghhCwNKpvSxep6L4MQQgghhJANB6XtKoK+2UZwm/6Dz49oz213Mqzp2lypqn20/vauvDiWlXShopUKqDNADy1qEfCrMxGR2XxlRceOh03pa4vKPdf1y4+G03LofFrKtnPJMnOlz6t6IpPZsopnJIjLtituC8u8mlKVwpYQQgi5PPSmovrvD0IIIYQQQsjawk7bVaS/beHgjolMWaJhQ7qSER00FqRpA1zXk+lcWfJlCFZPU6OgJxmV7kRYoqHle2ljIVM7bGcKVfnfz47IodG05Eq2VGCNW3C5m26rrki2ZIthGJKIhqS5Shef8o1HCCGEXPmge39XX3K9l0EIIYQQQsiGg+5sFXnv63ZIKnLhEm/tiklXIiwd8Yi87ZbNMtAWk1TUqr8IkJmRkCmpeFjjok4toYqUbSoWkorjd98u96JVHVfSRdQS2HVZi1oEbw2TqZDR+EavVLV1CBtqE+JhQ/pTEbl9a6dE8IUmrFVYByGEEEIunVjIkPtuGFzvZRBCCCGEELLhoLRdRRKRkHQnIxINmXqhM8WqyszrBtvkbbcOyTvv2Cav3NEt23rikoyY+isVsSQastTgGrVf6IM9PpGVctXRBG7I8oeWLQbCu0F3bTLiq9D1GspVqnpSdvz1tEXDcu/1AxIOm1JtSv3ifFbS1UsIIYSQtQNDU2Nh/liVEEIIIYSQtYadtqvIt1+clEzRlkTEkrx20xrylhsH5cP37tXHg+TKmemCTOXKcno6r7/QCYt0LZK2UJv4VXFEzk4X9feREASoJfmqU0/jtgKPFW2kc33xu57g8OliRf7lhfPa9dtqIBq7aAkhhJAri4lseb2XQAghhBBCyIaE0nYVGc+UpGS7ErYMFbbbe5Ly8Z+6UUpVRx58bkSOTeR0sBgk7YnJrMwVqpIv21JcpHsWY82iFoaT+RI2ZBhiWahDQPutLEiuerWO3ETElEz50q0t9oUu3bK98DgrBc/DXDbbtVtWNVDYEkIIIWtH8O+E5ShWeB8MIYQQQggh6wGl7Soy0BGTU9N5sQwIT1vOzhTkt79yQPZtapNvH5mSiUxRDp/PiON68yoNFgMVC5Zl1Lb3pCOB7ltPbNfTDtvGCoSgPgH7xGCwlWA2fBMX/JLax1JNJC/2TR6eu9xh8LhBO0sIIYSsOyv9zzEamwghhFw97PjoQ+u9BEIIIZcJdtquIvddPyDbuxMqKzVd6nnyfw6MyT/84JzEwqZky7Z23CI16y3x3ZNRGwSCmgN8l4XUru26msqdzlclXZovbIEbJG2R0HVcHQa2EoLnXezQslbC1qqZY6PhV2SZPl5CCCGEXDl0xiMyV6is9zIIIYQQQgjZcFDariIP3LxZ3vf6a3S4GGZ4uJ4nM/myHBvPyomJnGRL1XpVQCBDWwnNnlREBjvi0hEPq+zFvpBYLdeKat1lIq64sxH9tuFlXu3mhO3F0GrXgUj2mn5BPvONRwghhFz54IfEn/rm0fVeBiGEEEIIIRsOurNVBNOW33brkFzTl5KK7Um65GiqtmK7cj5dkmLFqadRAe5A7E5GJBW16snUsCGSCJsynStrojZXsiVfcQVtBRC+huH/WglI6C7FS2kuaNw15HDjeTWCZDHqGtiQRwghhFz5oJv/xbHsei+DEEIIIYSQDQc7bVcRDBx7+OCYFKuOREOmVBzXrwgImVK2/a9FQp521EJ6hk1DhjpjUqy6koqFxHZcOTKWleHZUkvJiUqFRWaWLcCoCdNLJWQsfizsu7GPd6UduoQQQgi5silUXP33CiGEEEIIIWRtobRdRf752WH5s++ckJl8RaraK+t/04PBYfGwKUNdcTk5mVdZG4uEVORC7MYjlvbQQvqCxRzoShUspGrIMqR6idIWqdnlhqRxvhghhBDy8uS6TW3rvQRCCCGEEEI2HJS2q8jff/+sjM4VxdDBYahLENnV16aCs4oiWg9ds56UHFfKDpIslmzrSkgkbInnejKSLtal61JSdKnHg8cs0xDX9bRn9mIFa9C7ezUK2+WuHSGEEEKWpsxbaAghhBBCCFlzeL/bKjKeKekAMIhZkIiE5J9/5XXy33/+dhWoh89n9BshbFO1PcmXbTkykZVS1ZX7bxyUu/f06fAxCNelWOpho9aV67juhpSXG/GcCSGEkMsFeurxbxFCCCGEEELI2sKk7SoSCVm+NKwlVfE5+PPvnJBzM0VB2LYxu4KahGzJ1l7b+24YFJExSUZDkq/Y4lU9f/BYU10Cqgu6E2FN807kKgvWEGxrItV7iQbzJQ0oozglhBBCrlqSEUs2dcTWexmEEEIIIYRsOJi0XUWuG2yTRNjS/lp83Dfod8Idm8jpMLJGmYnfYxjZ9q6ETGXL8mffPi5Pn5rRhKxteypn/ZqD+UI0EbHk9u3d8htvuU7aY4s7eAji9XijUNgSQgghVyf4bz/a9Q+OZtZ7KYQQQgghhGw4mLRdRe7Z1y9HxjJSqLoSC5nSnYrIZx49JiHT0EqDZo/qd916cm62IGOZkpydKehwMgwug9CFuEU3biOoXvAMkUcPT4jrLa5I/ZFmLw2mZgkhhJCNQ397VP/NcnIqv95LIYQQQgghZMNBabuKhExTOpNRSdiO5Mq2PH5sUlKxsJiGIWEY2AbwWVciItu6E2KahkxkSlqLgH5b9bRNtjR4NmoRuhJhefz4lBQql0PNtsatJW4obQkhhJCNwVimLMmIKW/Y27feSyGEEEIIIWTDQWm7ioymS7KzNyk7epLyxR+ckbmCLUUdPOYnZztjlqZwq46nEvdX37xHwpYpf/3EaU3ZFiuLDw/TOgUR6YyH5BsHx2S2YK/6+XB2NCGEELKxwN0+N23pWO9lEEIIIYQQsuGgtF1F+lIR+dIzs/K9Y5OSLlZ1kFjFNqTieNKG/lnDk7Driet60puKyMnJvLwwnJbTU3mVu0sBYRsyRYpVZ02ELSGEEEI2Hrg7aDK7cNApIYQQQgghZHWhtF1FMLhjrlAVz/P8IWKGIdGQKYbh6sdcydaUbUc8rCL3m4fHZWS2qNuapjpdCRnouV2472jYlHgYSV0KW0IIIYSsDujg396TWO9lEEIIIYQQsuFATSlZJY5NZMUyDWmPhyVimRIOGdLbFpWwaUimZIvjeZq+LdqOViaUq64KXvwe5hbfKEUQp22B67qa3q1U2TJLCCGEkEtnfsv+fDrjYbnvhsE1XA0hhBBCCCEEUNquIuinzZZsGc+UpOy40h4LS3cyKuGQJamoJfGIpV1x6K7NFKuSKVZU4nqeSNnxdGLzzt6UNM0sU5DCxbatShSwvbUWJ0gIIYSQqxpjGWmbiIQlFua/KgghhBBCCFlrKG1XkVjI0gFjkLe40LbrSl9bVCKWIfmyo6IWICvrIHFbdaUtakosZOj2qEyAyEXitplyk61FjQJCudGQIYmoJbGwofKWLzAhhBBCFgP/Blnqnp3+9sgaroYQQgghhBASwE7bVQTVBp3xiLTHQ9pVC3m7oycpFduV83NFOTdbkIpdrX+zBHGbq7gqdYPYy1imPK/T1ljkmyu79l0Xkrtl29GvUdgSQgghZDkWk7b4IfItWzrXeDWEEEIIIYQQQK+3irx+T6/22E7nKzo4rCsRkdPTeak6rtyytVNu29a14DmOK1JCT22t/gBp22aWuo2xEbjeVvUJhBBCCCFLgX9r4IfIB3SoamW9l0MIIYQQQsiGg9J21ZO2YelNRWRTR0wl7e6+lAx1xmVkriTTufICAYvPQ5boADPzEm5jJIQQQgi5HOAunsPnM/Kpbx5d76UQQgghhBCy4aC0XUUgZnf2peT+GzbJjt6UzOYrKlwns2WJhU0Vs5Gm2R6m6Q8iS0YtiYT9Llz9es3uRltNJSOEEEIIuYzg3yuG+L38xyZy670cQgghhBBCNhzstF1Fhjpj8sihMTkylpFC2Zb2RERCIVOGZwsihiGjswUp+fWz8+oRMFAMFQpt0ZAUTFuqKLU1IHgNqbaoSyCEEEIIudzkK46YpiF7+lPrvRRCCCGEEEI2HJS2q0i+bMvIXFGKFUfTs52JiA4ic1xPbMeV4+OZBc/xAnFrmeLVim3xOR4pOp40Od4lQUqXdQqEEEIIuVS6E2H58L1713sZhBBCCCGEbDgobVeRLz0zLOmirdUGELWnp/JyYjInZ2cK+rVWQ8YAHC2SuQAh20sFT01FTMlVOI6MEEIIIRcHGpxu2NyhP3QmhBBCCCGErC2UtqvIRLYsruuJaRmatDUMQzzX09LaQsWt99S24qXI2kYqNoUtIYQQQi6Nu/f2rvcSCCGEEEII2ZBQ2q4i3cmIjGfKmqiFnx3qjsu1m9q117ZcdTRx6+dhV3fyMyGEEELIxWJZhoQwIZUQQgghhBCy5vBf4qtIRzyM+WEqbPGxIxaWHT0JKVVd7axti67+5UewlxBCCCHkYkG7/vl0ab2XQQghhBBCyIaESdtVBNUEIfWy0Lae2LYr990wqF//xsFxKVyuDoRliFiG2I63ypleQgghhLzc2N6TWO8lEELIhmfHRx9a7yUQQghZByhtV5F0sSoVB7/z464nJrPy8MExTd0eGUtLfo0GhC028IwQQgghZDEiIUvu3tu33ssghBBCCCFkQ8J6hFVkLl+d93mu7MhD+8fk0cMTUvBtLiGEEELIFYnjefLo4fH1XgYhhBBCCCEbEkrbVSRfnS9tEXiNhU1xXa+WvV0eE80KhBBCCCFrTLHiysOHKG0JIYQQQghZDyhtVxETPQhN0vbUZE4iYVMKZXtF++AgMUIIIYSsByhxGucgMkIIIYQQQtYFdtquIuUWg8bGMiU5OZmTou0tma6lrCWEEELIejPQHlvvJRBCCCGEELIhobRdRVp52VypKoXq0kaW0pYQQgghV8LtWG+6joPICCGEEEIIWQ9Yj7DGLCdsYdE9CltCCCGErDOWyX+TEEIIIYQQsl5Q2l5hFz4aMbX7lhBCCCFkPbFdke8emVzvZRBCCCGEELIhobRdJxa23frkK4s9QgghhBCytqCLnxBCCCGEELL2UNquMbzghBBCCLkaCFuGuOJJqeqs91IIIYQQQgjZcNAhrjHM0RJCCCHkasDzPKk6rjx8cGy9l0IIIYQQQsiGg9J2jTHWewGEEEIIISsAHfvFsiNnpgvrvRRCCCGEEEI2HJS2a4xpUNwSQggh5MrH9UQyJVu29yTWeymEEEIIIYRsOChtCSGEEELIAvBD5huHOuS+GwbXeymEEEIIIYRsOChtVxGrRaTW80S89VgMIYQQQshF/Bvmzmu65TPvuE1iYWu9l0MIIYQQQsiGg9J2FWn1PQ4HkRFCCCHkSicVteRnbt9CYUsIIYQQQsg6QWm7ilTs9V4BIYQQQjYal6M7v2R78vChCXn44Nhl2BshhBBCCCHkYqG0XUVYg0AIIYSQq/HfHyFTZCpXkuMTucuwN0IIIYQQQsjFErroZ5CLSrpQ3BJCCCHkaiNsWXJupijpzdX1XgohhBBCCLkC2PHRh1a87en/+sCqrmWjQGm7iizVX0uhSwghhJArkbApcu1gm9iOK52JyHovhxBCCCGEkA0Jpe06QWFLCCGEkCsSw5C+tqhUHU929SXXezWEEEIIIYRsSNhpSwghhBBylYE7dqzLMXGsBY7jyfBsQe67vl/uu2FwdQ5CCCGEEEIIWRJKW0IIIYSQq4xV8rVKLGxIruRI2DIlFrZW8UiEEEIIIYSQxWA9AiGEEELI1dibv0pdS92pqHQkQnJmurA6ByCEEEIIIYQsC6UtIYQQQgipM5evSMSyZCpXllLVYdqWEEIIIYSQdYD1CIQQQgghpE6u4sp0viI/PDMjD70wut7LIYQQQgghZENCaUsIIYQQQuZRqtoyPFuURw9PrPdSCCGEEEII2ZBQ2hJCCCGEkHlDzjxPxHG9VR14RgghhBBCCLnCpe2f/umfyo4dOyQWi8kdd9whTz/99KLb/tVf/ZUYhjHvF553tREPXxGXnhBCCCFEiViGxC1DLFPEMES6E2F503X9670sQgghhBBCNiTrPojsi1/8onzkIx+Rz372sypsP/3pT8v9998vR44ckf7+1t8otLe36+MBELdXG8Wqzn0mhBBCCFl3LEOkvy0q3cmIfr65My73Xj8gD9y8eb2XRgghhBBCyIZk3aXtH/3RH8n73/9+ec973qOfQ94+9NBD8vnPf14++tGPtnwOJO3g4OAar5QQQggh5OUpbJPRkCSilmzqTMgDNw3K224dWu9lEUIIIYQQsqFZ13v0K5WKPPPMM/LmN7/5woJMUz9/8sknF31eLpeT7du3y9atW+Wnfuqn5ODBg4tuWy6XJZPJzPtFCCGEEEJ8HM/vsd3enZRY2JQz04X1XhIhhBBCCCEbnnWVtlNTU+I4jgwMDMz7Oj4fGxtr+Zxrr71WU7hf+cpX5G//9m/FdV157WtfK8PDwy23/+QnPykdHR31XxC9hBBCCCHkAvmKI8cmcpIv27K9J7HeyyGEEEIIIWTDc9VNw3rNa14j73rXu+TWW2+VN7zhDfLlL39Z+vr65L//9//ecvuPfexjkk6n67/OnTu35msmhBBCCLmS8TxPxjIlqdiu3L23b72XQwghhBBCyIZnXaVtb2+vWJYl4+Pj876Oz1faWRsOh+W2226T48ePt3w8Go3q4LLGX4QQQggh5AKu5388MpaRRw7N/3cZIYQQQgghZINJ20gkIrfffrs8+uij9a+h7gCfI1G7ElCvsH//ftm0adMqrpQQQggh5OWLYWAgmSFl25Vvvzix3sshhBBCCCFkwxNa7wV85CMfkXe/+93yyle+Ul796lfLpz/9acnn8/Ke97xHH0cVwtDQkHbTgk984hNy5513yu7du2Vubk7+4A/+QM6cOSPve9/71vlMCCGEEEKuTCzjwsCxWqh23k/wjdovJG7tIHZLCCGEEEII2bjS9md/9mdlcnJSfuu3fkuHj6Gr9utf/3p9ONnZs2fFNC8EgmdnZ+X973+/btvV1aVJ3SeeeEKuv/76dTwLQgghhJArF9MQSURMqdqulJyFj4ctQ9O2oK8tuubrI4QQQgghhMzH8DB5YgORyWSko6NDh5Ktdr/tjo8+tKr7J4QQQghZKfojcONCfy0ImSLRkCXhkCmpaEjl7Vtu3CS//uPXreNKydX8719CyOWH31cSQq42Tv/XB9Z7CS8L1rXTlhBCCCGErBG1JG0Ysdsa/o/uPXFgcj1P8mVH8mV73ZZICCGEEEIIuULqEQghhBBCyOpTT9h6ntYlQNgiXYshsJaIxCKW9EVD0hEPr/NKCSHk5Q/Ts4QQQpaDSVtCCCGEkA0EumtTUUtu3tIhd+zsFssyxUbKtuTosLLd/an1XiIhhBBCCCEbHiZtCSGEEEKuMtA9W4VhbQBpWXzFXea52KYzEZG+tpicnc1LNGzJ9vaYlG1HtnTG5b4bBld17YQQQgghhJDlobQlhBBCCLmKCJsi8ZAprutoxUEgaVcibIOahLlCVYY6YxK1DDkzW9C6BNvxpK8tusqrJ4QQQgghhKwE1iMQQgghhFyBGIt8LWyZUqxeELbBdisRtiAE6Rs2ZTxTFtv1JFusyshsUdriYRmZK8nDB8cu41kQQgghhBBCLgUmbQkhhBBCrjD6UhHJl20p2a5K2aAJAb8vVN36T96tmrG1TEMqTXUJAdgueMQyRUwD1Qqu7B+Zk1zZkWLF1uf3JiOSiFpyZrqwJudICCGEEEIIWRwmbQkhhBBCrqB/mMHDTuUqKmw74yH5sev6ZXdfUisRMEQsAOoWtQapaEg6E2H9fSuCNC5qFVCNgIhuseLIZKYkhbItnudJxXbl4GhaSlVXtvck1ux8CSGEEEIIIa1h0pYQQggh5AqhseIA9QezBVt+cHpGXNcT23XridsAyNihrrj20eZKthSrbj1Vi8e8IJFritg1e4t9OI6nHw3xVPYisZuMhuWBmwY5iIwQQgghhJArAEpbQgghhJDLAMTnIg0FLXtlIWVbbQ+JGrEMcVxP0IRQqKC/1pesC7YLmTKdr8hcoSKG52maNhUPy0BbVHtqkdaNhkwp2U5tjYY4nqdCN2L5a0A1QnssJB94wzXytluHLselIIQQQgghhLxEKG0JIYQQQlZA0D6wmJddibDFPiBRkY6dLVRkJl9dsA1EKvppUWWAlGx3MqLb2ranYhhfT0RMsUxTyrYrM7mKVF2vLnHDpimv3tkjz1izcm66oEPLHEe0WkF/6fMtiYYtaYuFVOTetbtXHrh580u7QIQQQgghhJDLBjttCSGEEEKWIeiExcdFqmNXRE8yLNf0pVSWbu6Iy5auWP0xrTEQkWTElM54WBJhU5JR05euNSkL6Qrpu7e/Te0uumghbAE+WLUqhGMTOQlbpopZ0zQkZBnSlQhLMhqSPQMpeeert8kDN22St90yJP/hnj3ysbfuk1gYzyYr5ZOf/KS86lWvkra2Nunv75d/82/+jRw5cmTeNm984xvFMIx5vz7wgQ/M2+bs2bPywAMPSCKR0P382q/9mti2PW+b73znO/KKV7xCotGo7N69W/7qr/5qTc6REEIIIYSsH0zaEkIIIYQsAdKtqBBAb2xj5+xiQL66LeoQIFs7kxFxPVcKZU929bfJJicmc4WqitetHTGpuJ6UKo50pyISsky5YVO7PHt2TjLhqoRMQ2YLZQmZpvS2RWUiV5ZM2a89CMBxu5NR2dOfksePT2nNQrwmY3cPtMlAe0x296XkQ/fsuYxXaGPy3e9+V375l39ZxS0k63/+z/9Z7rvvPjl06JAkk8n6du9///vlE5/4RP1zyNkAx3FU2A4ODsoTTzwh58+fl3e9610SDofl937v93SbU6dO6TaQvX/3d38njz76qLzvfe+TTZs2yf3337/GZ00IIYQQQtYKSltCCCGEvCwJBmxhAJfXQqLqYK5lQO9reyws4ZApmWJVihVX065ItS7WhoDHw7VtUJkAiRu1DK0yODdTUImailpycDQtVcdVGWsahnQkI1KuXpCw+NqrdnRrdcHn/vWknJkpiOMamvgdz5b18cbKBpzTlq6EvOeuHXLPvgH9+veOT+naMaQMxypVXdnec0Eakkvn61//+rzPkX5FUvaZZ56Ru+++e56khZRtxcMPP6yS95FHHpGBgQG59dZb5Xd/93flN37jN+R3fud3JBKJyGc/+1nZuXOn/OEf/qE+Z9++ffL444/Lpz71KUpbQgghhJCXMaxHIIQQQsiKSFxlP+oNGehuDUksZOg/eCBgA6IhS6sEID0hdo3a9s1ELL+eIF2o+tUIhi9I42Gz5T+isK/ApCaiIa0kQGI2FgnpWlBZgN7ZnlRMYiFLOuJhuX17l243kfFTtDds7pD7b9gkO3uTcj5dkvtuGFQZi+diu772qFRsR5O7WAeqDyByuxIRee2uHhmZK8ljRyflw/fu1eoDVCC89aZNcteuXnngpkHdH7n8pNNp/djd3T3v60jH9vb2yo033igf+9jHpFAo1B978skn5aabblJhGwARm8lk5ODBg/Vt3vzmN8/bJ7bB1xejXC7rPhp/EUIIIYSQq4ur7Nuvlw/4fm6FA6YJIYSQK4JULCKb42EZz5Qk23Rb/kpprA5Yadr1UkAtADpaOxNhKduWVhBEQ4Y4rqP//bUdV6IhkbZERGXoNb0pmciU5OhEThOydQxDIqYp+YotbVG/H9Z1PUlEwxILO5Iu2vofdcf1hW1fKiK5iiOu64qDL3rokxVdy46emMxpWteRsXRRqwrwORK3hYoru/qS2l07MldUsRukYvHcH79xUM7OFjSpmy3b0p0Iy2t398qBUUtmcmVN9O7uS6qw9ffpS7q33Tq0OheYzAOv96/+6q/KXXfdpXI24J3vfKds375dNm/eLC+88IImaNF7++Uvf1kfHxsbmydsQfA5HltqG4jYYrEo8Xi8Zd/uxz/+8VU5V0IIIYQQsjZQ2q4x/W0R/YYsW6qK7SzsvCOEEEIuN5CJkHqXWjEAiQnZmqvYKgz1dv4Wva0rAcuIhUytB8iWbLEv4keYS/3A06xJYKRNIS1RCYBhX47rSipmSQ7/3XU96UpGJFOo6ECocNiSvraY/OLrr9H06f/ns0/otQrODfvDPrZ1J2VktqDP6W+L1sWr55mypSsukZAlXcmwjMwUtAIBQhUfJ7I4js4Lk864f2xPPJnMlfWLEMmzxap4nqeduX1tUd0XpDB6ZyFsg1QsPn7/5IxMZsu6xvZERG7Z0imv3dUrZ6YLuu3xiZxWKOzoScrp6bx+nawN6LY9cOCA1hY08ou/+Iv13yNRix7ae+65R06cOCG7du1atfUg0fuRj3yk/jkE79atW1fteIQQQggh5PJDabvGDHUlpGw7koxYMpYpS+VSv4smhBBCFgHSEbIQktOu9ari1n/8fqVETF9cQtji95GwKRXb1c9Ru+pdwl0kZr171ZBkNCSFiiOG4+nz3BXsz6h9wWt6LBDLFVckHrGkrz0m27oTMjpXlLFMUSzD1Ce3x0KyvScph0bStYqCqCZuITcfPjim+0Dqtuy4EkOlQdiSfNlRYYv/Xl83mNLnqXjNlvXYQ51xsT1/eJhlmdITC2ttAYR0PGzreSFxizqGt9w4KI8enpDh2aKETaMuwLGOfMmRszOQrymtMGhOyGItAx0xufOanrqUncpV5B13bK9v8+BzI3JkPKePsbt27fiVX/kV+epXvyqPPfaYbNmyZclt77jjDv14/Phxlbboun366afnbTM+Pq4fgx5cfAy+1rhNe3t7y5QtiEaj+osQQgghhFy9UNquMUfHsmKIJ8moJa7naQddlXFbQgiRjV5Xg1Sn6y4uLxcTmwD/LYFwhABEHUC+4uhAK9ydHwBh21hHsNx5479NYcvQmoFQyJRKsL9aFUCzjLW0V9UfttX480isDdubpi9XcXzI2lCxqp2vntiaMrUdTxxEUj2vdi4QlSH9QSfOCylZdMCGagPBEhFL71zB11XY2q7EI6aYpqkdsR976z75yBefk/GML1exD1xfDOOCwMXzMqWq9KWiKjdPTxdkR29SSlVH6x8G22Oys8+vTMA69/Sn5INv3KWDvf5/T50R23V1uNjwbEGvN64nhO61A226/ZmpvEznK7ouyzQ18QshvKs/JYfHMpqyxbnhRWiL+n23WzrjWoOwWOfsjp6E1h4sJmWD5wXJ27v39qnI1XOrpXYhf8nlAQnpD33oQ/JP//RP8p3vfEeHhS3Hc889px+RuAWvec1r5L/8l/8iExMTOsQMfPOb31Qhe/3119e3+drXvjZvP9gGXyeEEEIIIS9fKG3XGHxDWsV3rIYhFqY+G/jG2HvJt68uxmr2BRJCyKWkP/HX3LzO0HUkSGheTnGrt+lb+PsXA6z8v4C9xa6Hbuv/tyCF5GnVFdv2O1exLtQI6HMNkTL2tcgiNQ0bMqXqeHrrPlKsGFQV/LdFXWitlgCJUWwXDUMk+r9fDNQBoMMVMtYIhcQ0bIlYlmRKfoIUHbG4lR93j/zUbVvk2ERO8mVbpvMlGU9XJBxCnUBMh3mNpotaKRBc70LZkZDlimkYWgXQ2xZVWTqZKWknLNKkpaotp6YKuk4w2BnTAV1T2bJM58q6z9lCVY+J/6Zuao+qtO5MRFRO/th1/TI8V9RrgUFet2zp0FTrdQNtMp2v6ut/z75+lZlI2kKIdiTCen7t8bCe/3tft3Ne6hXiNVeyNTkLIVsuV/XapqJhFb7op71pS5f83Ku3yj88fU6Pv7kzJkOdCZWpEM54fu0Ky7aeuLx+T5/s7k8tKlWxX6wP9QeD7VEdXhZs3wie27hWCNuH9o9JLGyy43aVKhH+/u//Xr7yla9IW1tbvYO2o6NDE7CoQMDjb33rW6Wnp0c7bT/84Q/L3XffLTfffLNue99996mc/fmf/3n5/d//fd3Hb/7mb+q+g6TsBz7wAfmTP/kT+fVf/3V573vfK9/61rfkH//xH+Whhx5a1/MnhBBCCCGrC6XtGoNvKu3aVGmkfBq/V278/UsVuDhEKmJqSujcTF7mir4EIISQ9cBPIRoqCCEQV5veVEQK5aoUqksfbDl5jB984e/tctNfyKgLwFd0zlTDObbHLE1Z3rSlU7Z3xeWfnhvVW+CRipy3XwN1OXEVgBCW2XJVRtMl5FslbbsqXbd0x+Xf3bFNDp/PyuPHplT+ISranHIFuB0/FQvpUCykYwfb42KnInJq0u80RTuAXnjDT+JCgvag27VUUZEKWdwsb/EZUrNlG4f1pCsRFsuKacLVylY0JYr1Q1zevNVPtkIsfu7xU2I7hl4HSOI37O2TD9+7V37hC0+rODQ9/799qBTwHJEt3THpbYPUjMlEtiyGgS5aQ1OwU7mySl0kcS1TVMZiX4GM3NaTFDEKuo3tVlRunpstylS2pNugbuC2rZ3zJGejFA1k6F88dlKPf+++fn1OenNVj4XBYM1iFGIa1w/XB/9f39uWqQPIJnMVSUbDWm+A5yE9G0jTIBmLpC+qGyDZce1et8e/PkuBNTbuB0nilchXJGzxHHbcrg5//ud/rh/f+MY3zvv6F77wBfmFX/gFiUQi8sgjj8inP/1pyefz2in79re/XaVsgGVZWq3wwQ9+UJOzyWRS3v3ud8snPvGJ+jZI8ELQQvj+8R//sVYwfO5zn5P7779/Dc+WEEIIIYSsNZS2q0jEEKk0CQEMGUE6CN9c6y2kLcxsPGxoggffaCGRs5x0aEV3MiL/8Z7dcnQ8p4mhfKVQH3x2KYmyK+X2YUI2MhB9/R0xvV37SkrQx0KGlBYpS4UrBFhu2fZFV/C1lXSiBgOhgq+v5O+iVMSSj73lOvnz7xz3U5or+MtrsU30OpuexMOm3gptiKGDqdriIRWM6CEN1o1EamcyIu2xsIre4JZ5pFQTyZB2o6ICAMladKsiIbq7PymeYUhHPKIyDrfMB8nbqGXKZLZSl6Gf/94pOTmZ167UeT2vIipIITa7MZxqa6emaIc6YnKgPSMHRtPSHg1LPGpK1LJkc2dc06UP3LxZPvm1w/K1/ef1jg/89whiHa9S2DQlFjFlJm/7PwSMhlSs4vb96za1S19bRPYPp+XUdEFrAyAdIUMhKr9+YEyTrbf2dEjIMqU3hfRrRDZ3xOX0VF6lJdK+uJ4Q02+9cZMKaYhV7B/PhWTEuSLVawh6dH09Cjn6mUePyYvnMyqnd/Wl9LzH0yXpbYuoRMb+p3OVFUnORhkKoQzZ+pH7rq3LXEhPfGyUvZqULfvXBe+Hnb0p7ftFN+727ri8+7U79FjYB9aCH8LatqtC2BfAY9o7G6wNYni15OtydQrkpYH38FJA0n73u99ddj/bt29fUH/QDMTws88+e9FrJIQQQgghVy+UtqsJbIP//byCb/fedstmSRf9BM8Xf3BWu/a8plRXMuIPZ8E3e3sG2uXQaHpB7+1SSdx42JKfuHmTnJjMy8OHxqVctaXSsI5Lka/oIjQ0GXUJTyaELEqjjET3JwYpLQb+/I3OlfSvlkRIpBDcYX0R4LkQTLgtHBIHSdPGv0/mDXeq/b4rEdLhTmPp8ry/d9B1io7RYnXxheBYEBtIagK97X+Ru/wjQedp7fZ5CDjXRR+oUe8gRfcn/g5t/juxM2Zplyl+IPbqHd0quSBRW/09ifNFvynEYe3GB18m1z4JnqM9rbomX9RCwmFD/H14bqaoKcpY2K8XwHEhHUO1teLYzw+ntfe0opLS/6HdXbt65OBoViUa/o6v2p7KR1wfnBeUKY4H8Dluqw/k4c+9aqvsH87II4fHZCZf0R/u4ZpA/N6+vVvGMiU5ny6p9MVrC7n6i2/YJZ/65lE5MpbVZOeNm9v16+g6xX6R6N23qV2HaMUiltw01KFCcmSuJMOzWGNZKxAgSyGd77/xwoCsn3v14j80fOZMReUmfv+ma/v066gqQIp1Ol/W893d3ybxSEiFLdaLJCx+QaJCOkNS4vyRBMa16G+P6nvhxGTOTx17nn6O51472KbDPQMRipchHFpccgZS9h9+cE4Tw3fu7NF9Bts1y1wQnDde58akLAaD4fhBj2yQzMU+/s+BMZnNV3T9qH/4iVs2L+idXay/9nLI10s5FiGEEEIIIeTKgNJ2FVHR0GAMImFjXoKnvy2qt34Gt7pC2MQiIU1n4RtBPP182k8foXuvMWXWSrJAMOCb//62iFw32CZffnZEpQD291KBZAk3HDRIv10qa5XcDfoqyeqBtwUck05chwS8jPvG+0zFW4PwW+nzVjOIqqlK48JQpUtJriOdCmmof09AyCJ5qLIuuN164S35ATg3VGJeSme1Prfqp/8QEsNHCElc42z5Qo0Kbrffgh7OrkRd9P3Pp8/K06dm9HnYD1KZJdtRgdr4Z1qvD34D4Sm+iL7wOG5z92r9tn5dwrxBWYYhW7piOrgJYjJfEYnBnOrwK1clJT4xDX8fWAf+bnrnHdvl19+yr37bfHWmoH+PtkUtlY0amNXOT1Neu7tXh0x96ZlhFarYJV4GpGn1NamtZ3NHTI+HYVJIwOIxkCn7CVr8/RoNQ5w6+lykZzd1xFV+QhYen/BFaciypFixxbY9mSvYKiRRMZApenJqOq9/fpDOhNT912NTmiotVGzd5ss/GlER25UMS1ciKm+7ZZP82o9fqyIWt+kHKVf8IDD4bwsE3aaOmK7vP395v8pIvM4np/La/XpiqiDPnJmtS06I05+5fUtdSgb7+caBMe3lxeucKdpy1+6eZaUfnvfcuTlNXjsuOmsh7f3HICxxPRqHZD12dLKlUMTX7t7Tq8/F+eNxnC+kL66t1hNA/PalWu4L5w5h+vixSf8HpXG/bzZIywZStlyrUxCZlt5UrC5Dl0q2Qiw3JmUhbFuleLEPCFt0DOM43zs+rcfFthfbK3up8rW545YQQgghhBBy9UBpu4rg9thGneN/fuGbRciQmUJFZQ0Ewk+/YkieOD4tPzwzIxEkqBxXE0a4tRSSAv1+EAMQDNh+oCOm6SlIB3xji55C3JaL6dffOTol2RKGsziX5TZqnIUvS3yCXQbiCutrfHw5IFm027LFY41XDVKqsTOykYgFMW6qLERKDMfHJcavOAbyeEgIhmUqV1ly0M6ia0RnpSvSKkN4sZ3D2FdzMvCloELsJQrp5cT5SoUgrkO4llz0Z7QvD7ZPxcLa49nqGOjBvHlLh4zMFmRSOy5Fdg+0ydnpnOQb6kLao5YKR7y+qAFBwhBSaDZflUsBSU8XWUfP0/PBLeOQq9Co+HOKnlT8OQyHLO0DHZkrapJyuR8O+KlRkUQkrPtAd6njuCotIehqf4R0P3hvASRb3bJdf58F+w+OhU8h+bDO80jA1jo2g+NBKEEIo4YFaw+OUR+65deb6vXCsCwNiNaeD0eKdX7wjbvlZ165tX4e//zssO4Tx0LyHn82g/V6Ddfwzl29Uqw6+kOp3mRUJnPlWl2Af0s5/k4bz5ZqydILz8XaIEbnChXZ3pNS4QVxek1vSg6Ozunfh5q2jYX0dcDzIqapCUxI5UbZhtvsXzg3p+vtSUX0h1cD7VG9nR53PEDyQTjj72P8PWnWRDUGiOF1QeL01q2d+nfsCyNzKpAb0T5TDzUCSOFamrTFBcV1m8pXNQ2KOyayJUevMVKWqC7AeiCA8bz2uF9pgNoAvB74Ad3r9/Tqrf4YsGVZpgpQPL/2nw+VdhC0H/+pG5cUdIG8PjOdk3TBlmTM0h8EYF+4PhCgeP+0kpLBfoLhXI2isNWQrEZw/fFnAsOy9C2nP3wsLSoQWwnFVl+DcH3mzGE5MJKW4dlCXWA3btv4e2z/wnBaTk8VdLAYksOBMG18n9y5q0fkxLSmloMe2uWSrSsVqNjHgzVhC7nfkQhdcqcs5SshhBBCCCEbD0rbVQT9f7npQl1K9LXFFiR48A00kkIfumePPoZvxkczJZnIlKVYk1eQC/s2tcnff/+sClrcpopUFvoIG7+hbkwh4RvNtmhYhrpiMoLEWQsxFgii5WRikGYLUnl6PrVkZSC3IDnwe92f40lxiR6FYJvmLXAL7kB7TA+ElNRswe9tRLqumR3dcdnZ16ZCB2LoxbGMSiKk3LA9Ena47TdIrjVK2+AW6GbJ1iis8A0yBA42qVYdyTZfQO/ihCjSZpBBWNdSshdSBefffDj0HBdrshLrh4SC0Go8BzwVE9wb05IqnoNezqb14fwg9BZbjkq9plvlcW2CqfaNx8bvIUkw7Mhy57WCLCqcIavQkzlXXKjFf+dt1+t74C8fOykRJBm1axNpSz9hiefiNcX6o44niailcmhTZ1wG22Ly2LFJHay0ErBbrB9/1vCDFNzSPZP3a0vwZ23PQJucnytIruz4PyBB6hzdpfGwjKWL+mcZt3oHqVh9f9WuTZCORzcoEqS45ri9H52rphVSiQcxXXZc6YiG9THIwXjE1En0kJGjs0Ud2FSqvf7Bdcdr0ZeK6po9mZOZHAZDoUrA3wY/wMFt/JvRZRqx5MWxrP4gSG8btwz984sXGTIR3axISUNQ4xr6f7ZFvvXihArmHTUxNVOo6p/1RMRUIQkRFTUNKeYq9T8/g51x+Yt3vXLe7eXdqagKMYCv4fh4vVADgP0gVRq8R7E+iE48/pO3bFbZNlso+2LZ9OU53gPt8bC+PvgB1s++ausC2fbUqWm9zb8rGdG1oQLgtm1d9cFS+DN+954+7f0+O+33xEL841rhzxHem7/0pt16HrjjAT/8aQT7RDfs3oE2XRdkMP7exd/7d1zToylVJG9xjvjBA8Ba7t7bq+tCzywk7c7epP4A7puHJ+rJTby/MUQSx8W7CLJ6Rir6mqz0tvjG/848X5zThC0kO/4OwjGQ0EXSdqnb7S9FFOL643WBqMd/KPrao5elRxWvA35Igj936UJVbtzcsWTaFGvvSUXlhqH2lmI6eJ8Mzxb1NcP7s/FclxKzK70ueA4SzUjYQthCNLNTlhBCCCGEELJSKG1Xkbt29cpMftQfXmMY8tpdvYsmeILbUY9P5OSmze0y3V5RERAMiwHoT2z1DWTgzrBfCIhgv9dvbtdvyiFBzk4X6nI2uC0aQ43QN4hbN4OJ7kgqOhCxtf5ImAmVtfiF3kUPwgTftIZUHGLYiw5jwdCckCU/fuMmlUPo4cXzIZHqCUEkI+Mh7ags1eQl0np4HL2Xr9zeJf/Pv7lRfnh6Vh45PCGjcwVN3E0h4VbbBzoKt3cn5U3X9dflC64bUm1I/0GGIHGMbc7NFmT/SFpFVSMqtKKW7gs+OF+u+rdv12RbIDYg2LDP7b0pHZ6Ta6iZgAxLhH1B2opAnOHaBRPYO+IhTUpjujvOPUhMQtSihxjSebCWKkSaLFex9ZpBPkNM4Rxx3bBPCDq8PyDZklFLzxsC8G23btbbqZHgxvohrQtl9EEibeyvxe9Ntvwkpysy0SSj5iVoTV/O+69vSN5606BUHUe++sJ5vUZBNUCQ/MT76batXfLkySl9HO/9BX3Mpp+yRX61lbTFa/Nzr94uv/S3z+iakUKcyJbqqXO8pyH9PM/V1/rawXYVL1u6oypFIMAgcVtJW1zzqHWhlgC3kOMHBZBqSIHmylX9s4gEN/YNUYxrn4pa8sJIRs8Jfw4g6tBjiRqS7x6d1InxUPy4Tpo8NY36+wevn9YdhPF6xCRbtDUVijQ9ZGQ0HJLulH8LP7o1sfZbtmCQlCVDnXGVbfiBzFimIKcmi3UR3N8eka1dCd3XW24clMPnM/L06Rk5N43O0IrM5sva8Ypz2Yu+z3RJ948/wxXb72HFGv3hWH4yF4PCxuZK0pEM6+uO2+rx5wSJRcinXKmq1w2PRcO+vMZ70hfBpr6/r9/UUR9IBRa79f2+6wf03DAsDB8bwTHRlYu0NV6bbLGq79lEFO9nWxPQd+zolj/82VvryU+8bkiX4u9QpDzxdwfStpCG+GEWhPgH37hrXlIUYhNDr/r1B2olyZZtvQaJiKHnHgygwg8QMPwK0hB/ZvA64/3xgTfs0vcIRHTw9y7+XoLQw75DWjERV4GMvx+R8MV7CK89ZC0SsHgNIW/x93AgF6s1sTqZKevrhPc7nod+V3zEWnYsk3wN/juD1wVyH3+O8GcDPxjEGpeqJngpBNfr0cMT+j7F39WN+24c8LXcOTSC7fFn6YbNHb4cT0WXfd5LSctejmQr9hEMkWOnLCGEEEIIIeRiobRdRdA7CAna2Du42DeL+KbuwefP64CW0Vn0Ecbl3925XYVt8I1p8zeQwe2vwaCUN+5FT2O0fjwICvRPfv7xonYWhlG3UPWlH2QCuh5v3dattww/e3ZWvymGkIHEwT4BuhmRwIM0QKoM4gdTw/GNP74OEQDJhFuU8c05OgsxjRwCCXKvebAyEomDHQlNkEE+QL5AgEKeQQRDDkGC4GlImkHm7LBdGa1NFkdSDeKj8Vpg3XhM5WjVkXTBkHe8ql9TgkhG4mszDRObINVU6lVcvwcYcq3qamJYqxaqjso2XR9SfaaoTIXEgajVYUSaag2pjEc6r5GueEiu39yhAg2diypKLV/i3batW2/zHp4t1ZLO/u3Ueru5IVKpuipcP/bW63QtmMLuD+mxVXjHbD+BDHCV0HkJMQuZgWQlhCZuHYcshQTGbdYQo6/YhsFMee3V3NaTVKGH09jUEdX3Qr5k6/ZYByQfVo3f49pANmnq8eZNKiD0fREOaYIZ71dUU3QmIxIPYRCUoX2dHTEkRqviwtrUrH2QaNUJ98mIphDx/qnYMyo9g9u/t+CW4udG5Oh4VmUzRCP2cE1fUt6wt0/+/LsnNJ2JfXzwDbv0uV3JXF144b1w7UC7TOem56WI8ccI1wjpO/yZwg9HcBs73uvt8Yj+2UHKFdIPIhzDrH54dlZFHl7rnkREE6/4s3DL1k5Nx+O9MPvF5+T4ZE7ft1NZXO+wCl0kQfH+xXpwiz3EM94DZiJU74jFEKStXXF5JY51ekbTnlgPktk6SKqhK/OPHj4i//LCqN5ar69BKDxvKBQ4OVXQvz+09iBsaTdrN8T2QJvWOZydKf7/27sTKKmqe/37uycaGuhuBhkaQWYRZBKEoCKJoIBGJXojr3gViRETRY1kEKMCjnDFqIni9apx4F4jGBU1YkAlGkEQI4jiADIPRuZ57IY+//Xs9tRbXdTU1V1Vp6q+n7VarOoadu1zqnqfp35nb7P74BG7mJn2aVUr/vObrfb1tm1c1855qsrQbi2K7XtUFbBrtx8wW/ceNss2VUzjkptdarexPg/02lZu0XtdwX6W3aZntm9oJrz+xXHzrbr8502d9fm/bTitUFzTF7jVtgqD1Z9vf1VRfaq5vhUOqz168ym81Gv3D+38K3vdvvt04267cJe+HVq/84D9bNL2d8NCWxWam2PDUVsx7eTavlBorvesPqP1HJf2amkGntLUPDhnhVm0dqcNkFXdq887l27rH6ru2H/Efpbq/au5Ut1KTv1Oz9Gl5ARf+Ki/A5oj1Q0Xz+vcxL7/FTzrs6ZJvXy772k/dCtyAxfHCuT/d0YBebBwVPd1Q9QnP1hTpRA1FLe/9BNMuAW+anohrpqolq0upjUAAAAAECtC2ziKZt7BSguWHDxiT5VWCHigdL+Z9tF6G1yEOuALXChl/srtdiEfhXgK7xTY6r4KT1QdqKrWr77bawO5Dk3rmRbFBaZz80IbPikcsCuMb9lnT23V4jOrtu2z1W616meb7i2KbcjjLvCiMKVRvYpwJPC0UoU0CvwWrtlhT+1WcKoQyRbuZmXZx1Do8d3eQzZwU0iYZbLs69fBtYI2Oydlgzpm4ertdgEcBY86jdsNHwIP5j+vWxEK7VGFc/tGvgVvFA5oGgH/FeIVznY7sdhW4SqUbVVcYCtpVQ1r3NXi7eI7OSYnq9yUFFZUqGlRG1XFKnRUpaVO09Xjrdux36zdXnHarV6fArgpP+1ubnrxU1udqNvo9SokXbJ+p21Ffo7mlcyxwZA9zbpBgWlct5atDlZlngKiuV9vsVXPdvEkbYd6OTZIU/DXokEdW3mqsPaCriU29FYfK5RbsXmv3YfsHL/fv+af9j7RN52GgmBdp1BIVZ/nntLUVw325Lw1ZtOOg+aQqidzHBtSq+JW4Z62qxvmuF9AaPso9OnSotjuF6oM3W7noK0Ib9UGVcSqFQ3r5ts5TLO/r1JUVayCt/4dG5vH31tlK2ML8rJN15Iiu91UIa2K2HJzzO6Tjermm5+cdqJ9zYFfePiHOVrVXSGpFk+qOJW+Ytuf0qzQXNWvta26VDu0TRSOupWHbljlfhmiwHbjzkM2VN2084CtCFYoeeBIua8yVLcfcmozXwil91Tg+0EUYipA1P6j13RqyTHfbXTfzXsP21O0R/StCOuChUxa/Ein4Lsr0Z/ZvnGl37v/v2bbPnOwzLELHapy+MQGBZXe4wrB1WY3TFXbtG9v2XvYPreqdnud1MA8PW+N3ZaHy1Td69hqcFUl534f5P9/p7e0ny36IkX9rPdBu8b1zPLv9pt3vt5iX6sCcAn2OajtpufVPqKiaAXAqjAtyM81Azs1sZe/tVMzVCw6pYDfnXc3sHoz2OehXpveS6qk1XVb9h0xH67abrq0KPKFhXoMhazvLd/qqxTXZ6f23cBgUI9370+6Bv0sDpxHVu3QPqL3gxvKhpsrNVi46L7X/INofeGkL1KCne4fa1gYa4gaq3ALfIUT7TyysVbyAgAAAIDXENommXuAufy7vWbjzoP21F9NTaBqSYUN4Q5oAw/+dUAf7GBY1W6aNkG/K/3+nP02jetVCiUCA+aXP9lopn10xLZBlXc9WxXbBYnU3rEzltrFbfQ8bsDkzz/c0Cnuml/UXfhIFWYK4JoU1TGHjh6zlb8KgPQ8qpB122PnpFy9w6zaqso/41v9XY8ReEAe6mDenspuFyar6E8duGuuUgWhCmwVFjeqm2daNaxrpxvYe+SonWtUbws7P2uWMYUFeWbAySeYoV2b28cMrGJWOxoU1LIhr0JGBb2DuzSzfaB5PdVXa7bvt69Ri/Goarfc0cJIFSvK27kua+WYTTsP2tepxZcUqOm05ecXrPPNC6mpKBSkfbYxy1ZDugsyndGukW8+ZDc00qnvqnjVK6mrCtF6+bay0g1x1Gb/4Mc9zdg/wFJVn0InVTjr9SkAV5vcMEf/r3CrY7NCOx+ogmVVQOsxVLG3eruqVSs+XrRglCqsFdTqubS4k8I//22lLwnc4Mwu0pSrxaVq2/sqxNPt1QfBgij/dmt7a+Emncau2x4oP2q3s+aGVWCrfdg/WNN7QP0abC5LtwpWCxW989VmU6/cMSc2rPjSQoFiVcIk3V6PpX5UW93K03BhXaBwt/UPqvq0bmQ++3a33R91WrymWPHfZu6XOu72dAN4/8rYaQvX24psVTQrzC3QXAjGmA279Nz1fMF0RUV0xWeLrlcIr35TYKu5dvUllB43GPtF1feLe9n5ox1jQ3l9geCG56u3H6yYLuCYEzQMD/d5qCBeP9rWCmE1V7G+aPH/fNTzaJ9wF1tz+zHWU9kDA0nt7/7vz3DbMdhrC7yt9h1V2lal2rSqbY51oaxoxVIx6+UQGgAAAADihdA2ydwDTJ1yrYNShQaqWlN1qQJRVVCGEnhA71bABh4M+9+uf/vGNoxUiBculNDiQ5pz0T2Qd1f/Vnt1uq/mYtTiNgqFVP0ayjmdmtgFdxSKqqpUlWyqklN4pYV6VOmoU6F1WrgqZDXP4rtfbbHhm6pFteBRfS2olKU5HY99Hyia4w7Ig00d4Z5GrOkH9FjqH01HULHQUcXct91PLDLNiurYUNFdTGjeyq3m212HbAWhAma1NTDUDqyo69WqwXEVdf5VmAq59RoUmGkb22kcDpXZx7Zznn4/J7C7ermCT1Uo63R+0WrsevznftbHVksGTrnhsiFy3Tw7x61CKt1P7fAPRsKFJmrPyc21cE+BrZKsOJX8+DDHP+h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+      "text/plain": [
+       "<Figure size 1400x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ft.evaluate_performance(\n",
+    "    model=fish_model,\n",
+    "    guide=fish_outcome[\"guide\"],\n",
+    "    predictors=fish_predictor_dict,\n",
+    "    outcome=fish_outcome_dict,\n",
+    "    num_samples=1000,\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9eb973f",
+   "id": "b9eb973f",
+   "metadata": {},
+   "source": [
+    "Now let's test this model on an unseen dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "887f7b02",
+   "id": "887f7b02",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "original_frames: 3005\n",
+      "original_shape: (30050, 4)\n",
+      "resulting_frames: 300\n",
+      "resulting_shape: (3000, 4)\n"
+     ]
+    }
+   ],
+   "source": [
+    "file_path2 = file_path = '/Users/raphaelcohn/Documents/GitHub/collab-creatures/data/foraging/0066_006_fov.h5'\n",
+    "\n",
+    "\n",
+    "# Load tracking data (same way as original fish)\n",
+    "data2 = load_core_tracking_data(file_path2)\n",
+    "\n",
+    "# Build foragersDF\n",
+    "foragersDF2 = build_foragers_df(data2['x'], data2['y'])\n",
+    "\n",
+    "# Subset and rescale\n",
+    "fish2_sub = ft.subset_frames_evenly_spaced(foragersDF2, frames)\n",
+    "fish2_sub = ft.rescale_to_grid(fish2_sub, 90)\n",
+    "\n",
+    "# Create dataObject\n",
+    "fish_object2 = dataObject(foragersDF=fish2_sub)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "6dc91e1f",
+   "id": "6dc91e1f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-05-29 18:59:48,458 - access completed in 1.70 seconds.\n",
+      "2025-05-29 19:00:00,806 - proximity completed in 12.35 seconds.\n",
+      "2025-05-29 19:00:02,267 - nextStep_sublinear_25 completed in 1.46 seconds.\n",
+      "/Users/raphaelcohn/Documents/GitHub/collab-creatures/collab/foraging/toolkit/derive.py:56: UserWarning:\n",
+      "\n",
+      "\n",
+      "                      Dropped 9821/2722069 frames from `derivedDF` due to NaN values.\n",
+      "                      Missing values can arise when computations depend on next/previous step positions\n",
+      "                      that are unavailable. See documentation of the corresponding predictor/score generating\n",
+      "                      functions for more information.\n",
+      "                      \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "fish2_derivedDF = derive_cp_predictors(fish_object2, rep=2, opt=4)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "afa663d3",
+   "id": "afa663d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-05-29 19:00:06,776 - Sample size: 271225\n"
+     ]
+    }
+   ],
+   "source": [
+    "fish2_predictor_dict, fish2_outcome_dict = ft.prep_DF_data_for_inference(\n",
+    "    fish2_derivedDF,\n",
+    "    predictors=[\"access\", \"proximity\"],\n",
+    "    outcome_vars=[\"nextStep_sublinear_25\"],\n",
+    "    subsample_rate=0.1,  # Use full dataset for evaluation\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "5dccebf2",
+   "id": "5dccebf2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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/2T5g92/b6Cp29XMml3NVtt7+xDWWylkqk3StD7JZb7hyNpHxTP8bTCWsJhy07sE+e3RPrwt1NVHZTJtXy+kiAAAAUGqchQOY8XCQsHFmEPAdfOZKb9jJfPAy3Q9pCnvPqrr0qY4B2945aOlMzlWoTuWDn2ItHfKfQ8872u+pwtcpv1JWY2yqHWoX0BsL2LOObD2gXURhZfLXbn1yxHv51o3trpJ230DCdnTFbcX8Ovvj4znrjqVdOa1C20jQrCYcsEAgYI3RsO3tSw4/n5f3PZfLWXqW5wk7fFHj7K4AAAAAwAEIbQHMeDhI2FhdAR8qrzfsZBUGrwpOf3bvDjeRVk04ZKlMzi4+dcWYH9JEQgH7/YY2u3F9m51//NIJB635H/IMJrO2vKXOOvqTrm+rJtryJ/Lyq1dHC4eLhcdjfVg01u8p/3V5qmPQemIpu2XDXtvTG7eVrQ1uPSsX1NnCxpaiYfBE3suhgILdoEVCQasJBVy17GAqY1nPc71qB1NZCwaDtqAhqt1gXYOpUdsdzHZgK5v3Dcz+SgAAAKqoF/DWz104q2PBwYHQFsCMh4PFnm8utUyolLFWasBXbWbyeChVb9jpVsfv7Y1bR1/SmurC7vttj7WPGtr64adaBXQMJC2Vzdm1D+2x+7d1W2tjdNx9VhieqoWBHhcJjwxUx6vgn2yF/0R+7z25t9929sTdMdCfSNuSplrrjqUslsraKavmj7pd/jGzqX3ABa5tvQnbN5C0Jc21tu64Ja6S9paN7a5tQirruVC8JhS0bFaBbsBqw0OB7rFLm+wFxy6yn/11uz28a2ibyiGWHOqpCwAAAKB0CG0BzHg4WOz55lLLhJka63TDvukEfJUSPFeK6eyPwuNBQZsCtck8V6W/HoXBqSo9LbC/tjOg7qk2bvi5rXPQzAvY6tZG6xhI2NZ9A7Z2efO476HRwtPC28ar4J9shf9Yv/f813xb54D1DKatJhK0/kTG7t3a5V77lQvqhyuAi22X//h9/QnXtzYYMKuLhF1PWj1e61J1rULd3mVpa4iGrS+edlW9bfGkm/grFApYMqMgPGUnLG+xx9v6LameCmWgIB0AAABAaRHaApjx6r9izzeXWibM1FjLGVTPpZC80vdH4fGgfqSqjuyOJe03sbSrKL3sgjVjhrCV/noUBqenH7bAHt7Z46pmFzVG7ew1i0d9rB92qi2CqlLDoYD1xNLWUheZ0HtorPC08IOf0SpjFYq39yXs7qf22b1bOm1BQ42dddTC4bBcwalCUU34deTixuHQfLTXIP81v7u30/qTaRe2KrCf31BjZxzRaju746Nul/94tTaIpzLDoXcsFRrxmHAo6Cp29bw3b2i32pqw1dVkbGFjjWU8z3Z0x1yris37Bt1+1XFXjtiWicgAAACA0uMsHEBJqgPnUn/WmRprOYPquRSSV/r+KNaPVIGtgkm1BPjLpn3ufTLV/qmVoDA4PevoRXb7Ex0Tqr73w08/WNVjWhtqbFdPfELvodHC08LbxquMfXBHjyUynmVzWReGqgXBcMVr3oRfj+8d6s861uu1vKXW9efV2PU8TXURO+nQFtvbn7T+eNoFtsWC4/wJ1RQSqzrW7znbG8+4ilu1SfjAzx90AbcqdnVs+T1uD1/YaH3xjA2kMpbMDLVK0MxkAfNclW2d2lBkcm4Ss1IKaeAAAAAASorQFkBJqgPnUn/WmRprOYPquRSSV/r+KDwe1H/0W396ygW20UjIVW+OF8KW8/WYyIcv+jl/oi97omNa7Tz8dc7k+73Y86u9gALSu7d02d6+hDVGw9ZUG7Vg0GxPb8JVpRZO+KWfx3u9FNQOTYRm1lwfsabaiHutWxuiduLyZtcuYLSWCv6EatmcZ+ms54Jaha+qkdU4dvUkbHvXgO3tSbjewZpsTdXMi5vq3GNrQmZqIavjSr1wY6mMe1xdOGg5z7NoOGhxhclWOtpuAAAAAKVFaAtUsfHCnJmsDqzUCZhmc6zlDKrnUkhe6fuj8HjQ++aRXb2uwlbBmi6XHy+EnY3XQ+O47qHd9ofH2t3PamFw4YnLDghaJ/rhy0x+SFMsYJ3Jfr6FPWMz+yf0SqSTbn0rWxuGX5OHd/a6QLc7lrZIOOH6x473eu3uTdhhCxvc776nOgbMy3l25KLG4ddO4y/crsf29LnxqCpVE7KlMznXVkDtDRSwBgNBO6S5zhqiIff4wXTWBtJZCweDFgoG7Wkr51tLfY3t7IpZLJ2xVQsarD+esd542iJBTVamycACVhcJWX00ZL2xtOU8c1+zHeA213G6CAAAAJQaZ+FAFRsvpKFac3rKGVTPpZB8qiYTBs7k/tBzqYftZCpJZ+P10Pp/dPc26+hLusnCdnbHXEXmVPtJz1YLh9no5+uPNRIOurJYVZ/qpY+ns65KdnFj1PWJPXvNEtdzeHNHvy2eF3WNBpa31BV9vQ5sb5CxOzZ1uDYYZxy2wJa11Lr7tIxflXztQ7utezBl18bTruds50DKMjnPVdoq6FSYqpA463l2/LJmu+CEpXbb4/uG2mwEA+71UnVwNpdz4fNhrfW2bzDpJj9r70uaNq+lPuKqbdNZTWJmFkvnrDkcdgGvnrujP+m2Wyvb34lhxik4BgAAAFBahLZAFRsvpKFaE5WsnJN7VUIorvevqi+b9ldBatKwYkHrRD98ma0PaWYjDPbHqmpWtTFQv1e1I3C9bM2sO55yE3spFG1tjNpxy5otk/Vsa+eA7etPFn3O6x/ebT+8c6vbj6p+VVjau39CtYd29rrq6sMWNQ4fa9ouBbY98aHexoODWfcYhcVqhrBqQb15AbNoOGSvOW3F8O/P+pqw3bS+zRKpjKWyCpozLmhOZrL2+417XeuDUCjoglq1dKit0QRonopsLRoJuopiBcMXnnCI27aeWMr1392j8H6WSm47BwltAQAAgFIjtAWq2HghTSmCqdm4dBrVodIn95pter/UhEPDlbbqi1osaJ3ohy+z9SHNTIfB+p2hYFSTdy2aV2tHLm5w1bSDqazV729boLDW712r9SsM9ffTju6hatnC3223bmx3bQ3Uv7ZzMOkm/Fq7vNkdXzc9umf/tvz9WNPzqsI2nspaJqcJyzyLJTOuBcLmeMZ29sQsHAzYgsao3bi+zY1Z7Su0XxXIahzt/UmrCQZchaz61/YnVFGbc0Gvet0qzFWLBfXE1dhUwatt023POGyB2wZt72AqY9c8sMu1SpiMoE2sOneoNQMAAACAUiK0BapYJVTSlrNaEnNbtbfv0PtVk6Ld9li7K7BUT9ti7+GJfvhSrHfvtQ/umvYHKjP9e0a/M1RFq98Zet2fdeQi9+X3uN3RHXfBp39MaH0KTRU8KnRVNa4f8Od/aLS7J26en2B6AWuoUQCcc8eXwnElqPnHmp5XYfGN6/e410FBqyphNVmYq7jNZG3fQNr6k1nb25e09bt7XTC8aF7UPU7BsMpn+xJpV3EbDmZM04sFhuZAs6Zo2FXlKrB9+qr5roeynvvwRY2uxYO/DXpN1PtW7RY02Vl2Aims1hEK2oSWlW1dg1N+vQAAAABMDaEtUMUq5RLvaq6WxNz+0KHc79+LT13hvir5A5WZ/j1T7HfG28463N33VMegaxegCeKOXNw4HDSff/xSty0KVfMD/vxtVMuBmkjQBaaLmqL26tNWuJ6xev7nHLnQ3b67JzFiMjL1NlZP2c37Bmx1a6Pra9s1mHJtFDT52eCuXosEA66iVbdrucf39ruKXCWnA8m0JbNDFa+ux20gYPNqI+6ruT5sTbU1tnJBnS1sjLqevLt6NJFaaMQ2aHvv3dppyUzxMlvF7JFwwBJ593v716dtnog9vYkZeOUAAAAATAahLYCyqvZqyamirURlfOhwMKvUD1SK/c4Y71gYLeDP30b1xM3lPFtzSNOIYLbY++6K2zfbsuZaF+SKKnEV2Kr37FGLG62tL+mqfbWAgtFEJuNaJSjY7RhIuKBX7RfUVkGCwaHq2kAgYOcet8S1Pigcq3ruuselsi7E3dQ+4Cqh/7qly3rimaLbHdgf2KYLwlnd3lwbsfaB1IT2uTfZvgsAAAAApo3QFkBZVXu15FTRVgLV+oHKVH5njBbq5m+jAtcLT1hadDk/rFWbhZ09cVu5YKhPrlomrGxtcN8VbOrxCly/9cenrDeWtBOWN7s2C+0DSTcRmoLd+fVRW70w5wJYPWYwmbFgKGjBQMCWNEVdv1r1vFWP27s2d7pWCscunWd/fGKfe79v2TfoxhANB+2GR/bYQDLjQthi/Kg1UJC56seu2MQnF1NfXgAAAAClRWgLoKyoljy4qiBnSzVUFlfaNlbqByoz+Ttjotuo1+Xah3bbo7t73WRhij0VZAcDZkcsanStBo5c1OjGpepXVdouaa5zyyjI1fPqOfz1KJS98p7t7v6aSMiOO6TZBba7euK2uzfhqmpVPdtUG3YVtQ/t6LFVCxvc+/3xtj7ri6etriZsyXTWYqmsm7Qsmx2tGtazmnDQMumRDWwn2hpBjlvWNIm9CgAAAGAmENoCwBxUqVWQs6UaKosrbRsP9g9UioXkkj/52llHL7Lbn+iwq+7dYXt64y7oVMXs5o5BW1Afsaa6iN2xqcN6YmlrqYu45yz2gUrhvvzlfTtcPwS1RWipr7Fz1ix2YW1PPO0e95cnO8zzPFs+v952dcdsMJUdMSlaJpdyPXI1AVo2m3VVt2q/kMnmrCCbNbXPrYtMr73B2ccuntbjAQAAAEweoS0AzMEKyXJXQZZ6m6uhsrgatrGSjs9iIbnk36bWBKqaTWay1t6XdBWrCmrDQXPVsQvnRe3uzZ0usFWVrJ5zvA9UNLY/PNZuqUx2ePIyTfSV/7j6mpClsp4LbPX9eYctGO5ze+bhC+x7d2y1TR0DpmJZtUYIBDxrbYy6qtvCtgc1IbdEXrOEyfNoaQsAAACUHKEtAMzBCslyV0GWepurobK4Graxko5PBbqRUMC1GNjWOej61R6xuHFEcP5k+4Atmhe1Mw5rta6BlPXGM7ZiQZ3rS3vBiYe451i7vHlE0P62sw4f8wMVjW1nd8x6Yim7u2efC4LV7kAtE5Y2RV3lrYLZR3b22ZbOQTex2fvPPdrd7lcCq+JXj1OlbdDMTaKm4LdYxwNV4CY1Kdo03PHkPrvk9FXTeg4AAAAAk0NoCwDTVI0VkqXe5nJXFpfCRLex0nrfztXjU/vu9xvarGMgaeYF3OReCmj9NgT6rsBUlba6T4Hu8pY6W9gYHX599DooFH6qY8C2azKzTM7dNtZrorFp8jLlq0/uHbB4JmcP7Oi23nja3XZoS50dsajBPnT+Ma41g5bXd/859fP8hogNJNPWPZh2Aa7a2Y5WDDuYzpmKbadTazvd0BcAAADA5BHaAsA0VWOFZKm3udyVxaUITCe6jZXW+7YSTeT41Gun6tpUNjfcpkDVrKesmj8cnPs9bfOD9PzX2w/W9TzqUatQ9Lt/3ux+Pv/4pUWPD39s+waSbnlV+6aznrX1xS1oQYul0rb+5l777A0bXP/atcua7cEd3fbL+3daMpOz3njK4qmc1deEzct5lsjkbCCZHXN/jDpH2QT1JUa2XAAAAAAw+whtAWCaqqEKtFA1bvNMB6YKgK97aLfrbypnr1lsF564bNwQeLarnCulkney48hffllzra07brHt7kmMenzquRSs6vWMRoIu3F25oM7d500wSPfv1zqDwYBt7xq0zfsGXSCrXrSi+/PHtryl1s5ds9i2dAxYPJV1z6GJzAYTGZtXF3EtD9r7UpbzPAsEMja/Pu5CU/XUjYYDLqCdVxt2Qa963waz3gEVtNPrYHugrR2DM/hsAAAAACaC0BZAxaqU8GiuVIGWUjVu80wHpjq2f3T3NuvoS5oFPNfnNBIKjrtfZ7vKuTCYVoio/qmlfh9ONiAvXP7CE5bau88+alIfPgwmM/bDu7a5ScJU5aptv/jUFeOO1bVa2LjXNncMWibrWSZn1jmYdBW36ov70I4e29Udt5b6iM1vqLGLTlpmbz/rcPf6q5dtOptzvWdDgYB19ictnfOsoSZkyXTOTXCmAFeBrapr4+mc+92ojgWe59lgaqjKVvcnM57rcWszHNomMmNX8gIAAACYeYS2QJWaC4Eol4Gj0sxkYKr3nsLBprqh/xTrMv2JhMCzXeVcGEzf9li7ZTwr+ftwogG5/7vsqnt3uEnFzjii1S2rwHS832+FHz7800/udyG6XhN917ZPJLT1Wy109CdcmKoAdnd3bP8EYXG33wIBs46BkKuOjYaC9h8vP8GF4Tc8vMc2ZPosGg5Z12DKsl7A1GghlVGlbcCWNddZIpNx1a79iYybbMxV0gbMmuqirmWCqnoV2Io3w4GtqCcuAAAAgNIitAWq1FwIRKtxgi9UtpkMTBUmqprTr7RtbYy6y+q/duuTkwoaZzuYVmBXjvfhRANy/3dZMpO1Hd1xs6c6XeWqUtJIeAq/3wL7I8/AgW0HRuO3WlDw3j2YcpOKNUajduiCenusrc9Vyno5s3Q240LWHd1Dk4tpTAp7Nd66SMgF0Apyo663bdYOaa61V5663K68Z7vbnmzWc20YQkFzFb1dg0kX7NYEzVK52WuPoApwAAAAAKVFaAtUqbkQiFbjBF+obDMZmCqU1eX3quZUwDa/vsZ29SSsJ54u6wcphcG0AsWbN7SX/H040YDc/112xmGtZtbpKlaXNNW6cHOyv9/UV1htKhS+LmqMup8neqWCvrSvbt3Y7tY/vz5ie/tTruVCMBBwlbbqQ6v8sy+eGQpizSyn0lkvYJ43VG2dTv09bt03mLQ/PbHPHRMuzA1r3TlrqYtYJue5Xrg1oYAL/3PJjAtwFewqv1XYrra6wRmovl0wLzqNRwMAAACYCkJboErNhUC0Wie7QnVQAKxL7/3L71VhO5DKlH2CscJgWo9TpWWp34cTDcj932U7e+K2sLHW9bIVVd9O9vebJoKbyLYWu1JByz68s9c2tvW5AFZhbV0k6MLTaDjoWiXs72Bgu3sTLsTVcyxsrLFFTVHXWkGhbr5YKmcPbu+2eDrrWiBEgmqdYNYdS7vHh10QnLNYeqjMVm0VpD4csLpo2LoG0y7AnS5V9QIAAAAoLUJboErNhUC0Wie7QnUq9QRjMpH312y8D2eyp/ZYv8sm+/ttotta7EoFbc9fNu2z3ljKBpI587yc9QeDFgkFbOG8qGub0BANuorZeCpji+ZF3XOoLcYbzlhlV9y+2doseUBFrALbhY1R29MTd9W1SmvVM1f/Vpaan6cqyG2Mhm3tsiYXFP91S9dwoDsdg4nMtJ8DAAAAwOQQ2gJVikAUqCylnmCsnC1Rphogjxb2FntsKfv+6vXSmJrrItY5mLKcl3OtChSupnOaVGyoWllBa2M4aKnMUOWtHnvk4kb3nNoXwf0tDfIpsFW/3F/9bZd1xVIWDQesPhJylbd9BWGqgtrnH7vYOvqTFg4GXYg7ExQcAwAAACgtQtsqN5PVTgCA6fOqoCXKVAPkmZ5AcTL/DfSX3dQ+YJ0DSVMPhHQmZ+uOW+wep/sebqixlsGUxZJZ17tWhbFaRr1n1fpAoW7QArbmkCZ72sr5dsSiBvdYVdmubG1wQe6GPf3Dx4AmGNOEZDdv2GuDqazVhtWhdqjKVhOXKQxO+D0XXBuDnG1q77eBRMZ2dscPCICnKqoeDwAAAABKitC2ys30H8BAPj4UKC/2/9wy27+PK6klylQDZB3LajeQTGdtW+eg3bi+bUJBa/57QPzbFL5q8reGaGjcfe6/Pvv6E7ajO24rFtS5HrqqoNX6/edWqNs1mLKOgaQ91T7ges4qZFX4eviiRtcWwctpQrKAm4ju+od322N7+mx7V8zCoaDV14TcNh46v97aXcWsudBXuWkwEHTblPUCduKhLdZSH7HrHtoz3LdWlbpbOwbdOmeyDW0iMxOdcQEAAABMBqFtlauky2Vx8OFDgfJi/88ts/37uNQtUcb60KAwQD7r6EV27YO7xv2AQff9fkObC0TNC7jJx7SO8YJW/z2gMFOThan3rKpeu2JpVzG7pLnWVcQ+1TE4bmDcG0+7nrR9sYwtnmd20/qR23jRyaHh7b/8ho12x6Z9FgyqRULOVcIqnNU6w+GgG19fIm01oaC19SbMM8/qa8KW8zy3bVr+iEWNrk9ue3/KUrmhCcnUYiEUDFoynbMlzVH33AqPuwaTNjgDPWwLJTO0RwAAAABKjdC2ylXS5bI4+FTLhwKVWtFaLfv/YP19vKyldkJBZqUem2N9aFAYIGs7J/IBg8Z//cN7XGjbUBty1aeqbJ3oe+DWje32+N5+V6mrQtSBRNpVwCrMVRjaE0uNut/yA2OFpLu6Y9ben7DmurAFgoEDxq3H7+qJW0tdxLpjKdcS4YTlzS7EVQWt1ruvP2XpXNb1nx1IZU3ND4LBrGWynmVzORfMPtbWZ57nWU045Kpn1ahA493aOWBHLmx0YW1/POOeLzVL2WqSecgAAACAkiO0rXKVdLksDj7V8qFApVa0Vsv+P1h/H7tL56d5XM32sTlWKDyZDw0muqyee2lzrT2wwyyRylpfPOMqXyf6HlDIq5YC3YPmWhjEU1mbVxu25fPrXAsDVd+Ktunah/ZYdyxpv4ml7f5t3fb+c4927RjUKiCRzljnQNqynueCUlW8dsWSdtW9O9zjtR+0TQ3RsK1d1uzWf+SiRve6/vahXdYdS7svha9qk6DnE9XI9ieyLpgVVdr6bQ/8oFlf6o+7ty9hy5rrrKk24p6nazBt4YBZXovbGUNLWwAAAKD0CG2rXKkvl0V1qZYPBSq1orVa9v/B+vv4a7c+Oe3jaraPzbFC4cl8aDDesvnhcFtfwpa31Lr9pWC7pb5mUkH4jY/udYGt/q3AVlTZunBerR25uNH9rPUosFUvWYWlaqdwyqr5dv7xS932buscsHSdZ4vn1bpq20d395javq6YX+fuH22b3OtRE7L59RFX2ZvJqsrXc1/5vILvDTUhNw51PsjPTxXcHntIkx3SXOvGmPbm1uR4AAAAAEZHaAtg1lTLhwKVWtFaLfu/ksxkO4KZOK5m+9gcKxSezIcG+cuqLYQCVYXWq/f3u/3qLU+4tgKqkk1mcq6NwOKmWrdNRyxqmPB7QK9PTThoV92bsQX1NXbq6vl237Zui4ZDduEJS4fHofWqwlZBaTQSchW4Gtvbzjrc3a8+tju6NdY617pAzzuvNmJnHNFqO7vjI5bN335NOqYx9yczFgoEXCVuXzw9HIoGRglI+5ND1bc6ktQBQRlvPJVzfW/b+xKu0jaZ9SwSNEvOxpxhVNoCAAAAJUdoi7Kp1D6gM+Fg3jYciIrW6nuvjbbemWxHMBPH1Wwfm2OFwpP50CB/2cL+tmpNoCpSBag9MbOmuogta6odbjcwmW3KX4/W0daXtIWNtS6wzR+rntNfrwLb+Q01bl3+43W/Xmvt1xcev9SFpjdvaHeBrb8fim2/59lwO4PBZNYdR54FXPsDF8rub2+QK5Lc+vcNP5c7DnOWyFsmOUslsRFCWwAAAKDkCG1RNpXaB3QmHMzbhgNR0Vp977XR1juT7Qhm4rga7TkmG3aPtvxshMKF+/DJ9gEXnCqPVHDbbwE775lLp7Vd441bj7nsgjXDwaxf/fuF32209bv7LJnJ2rFLm+wfn3eE/XVLl1vf0qaoa9Wgyl9VBxebRG53b8JWL2ywZc21dufmTutP5iwSDLjANhBQEBuw+XUhG0zlXO/cfAUdFEpKYwMAAABQWoS2KJtK7QNaTdtGRTDmunK910Zbb6W2yphu2D3a8rPxgUXhPjxqcaPt6om7+3rN7FlHto4aDk90u/zA2f/9p+/+77/C34tqc+A/7xNtfbarJ2EN0ZBt2RezLfsGXbuF7sGUdcdSduj8etcuQVW6/nL549Dz/X7jXtvuti1ruZxZVmlswKw2HLK6SNDdntEdFdRXVr10AQAAAJQWoS3KZq6EGwfztlERjLmuXO+10dY7V1plTDbsLmU4XrgPVbV6+xMdI/bpaB8ujTXOwjBWLQp+t77NBa7XxtMuaPWrawt/L+oxkVDAeuJpy3k5C1jIwsGAC20Xz4u623tiKdvbl7TBZMZ642lrro/Y2mWLhseh9Wud8VTGMjnPWusjroRVj1OF7bzakOtzO5BSy4TR+9uWg1pSAAAAACgtQluUzVwJNw7mbZtKEEN1LipJud5rxYLF/MvhVZ1Zye+LyYbdpQzHi1XvTvTDpLHGWRjGqkesAlsFrolUxm5c32Yd/Um3rALa/N+LrkJ2Q9tQdaxn1p9Iu+D15BUttrsn7to2KHitCesraPOiYdvZFbebHt1jNeGQPefIhW79ColT2ZzFklnX01ZjCIcCVh8JuZC2J56xoDdUdZvKZCumwvXZR7aWewgAAABA1SG0RdkczH1A58q2TSWIoToXlaRc77XC9RZOnlXp74vJht2lDsen+uHQWOMs/JAqk8lZ12DK2vsTlszkLBgI2Kb2AbeMKmBDwcDw70U9j0LdWDrrwlQFrivm19sXLj7RvvXHp+wvmzotEg7aQCJjiVTWOgaSFs9kLRQ3W9AQdD1htX6FxApsldBqUjI3sVjO3Pr1eIXFfamsG2+F5LVOPFVJowEAAACqA6EtUMWmEsTMlX69QCnNtffFZMPuUofj0/1wyJvAh1TnrlnsJjmLpXL7l/csns7a0UvnWS7n2ZGLGke0Yzj/+KWWfUT7Qn1nc3bhCUttaXPdcEsFBb5qi6AWCerBq1YHCjv3ZhN29X077Zil86w7lnZVuQqEA7n9a/U8i6U9S2VTLrQNBIcC3XAg4Mah9aWznqX3L+9b1lRjrY1Re2R3v802v6cwAAAAgNIhtMWcx+X6UzeVIGau9OsFSqka3hel/F071RBc47v2oT3WOZh0bQu+e8dmO2FZsy1ojNqqBfW27rjFtrsnMRzGfvtPm1x7Ak0GplpSVd1qOy86adkBvxtH+5Cr8Pfo12590h5v67P2/qSlMjnLKYG1Advbp4rerGU8NVIYCpbzc9iMK2b1XGA7rzZsdZGQm9wsm/OsviZk/YmMe4y+1E83HA5ZMvP355pNu7sHZ3kNAAAAAAoR2mLO43L90por/XqBUoaS5XpflDJInY3ftaONf6wQfKxtdi0IYknb1R23vnjaemNp27ovZkctabQn9ta66th3n33U8HM11kbM82J/n/XLM1veUlf09ZvIh1waW+dA0nrimlzMs2DQLJc160ukbVATkGU9q4sEXRVubUBtB7KWzes8UBsOmqY5U4sFtWDw41jt85wXcpXAgcBQD9xkKuO2sxSTlfUnaY8AAAAAlBqhLea8uXZZ8lw3V/r1AqUMJcv1vpitD62KBaOz8bt2tPGPFYL7j1Ergd9v3Ot6zap1gZbRWH8TS1s8lXEVtI7nWSQUdOvwx+xv36LGqLtP1ax6DQ9b2GALG6NTDr71nLt6EtZSV+MqbWtCAUtnsq7NgQJb1/agNuQmLFsyr9Z29ypczlgmp4pcs2DA3GN600PL1obNsl7AmmojVu8mN4u5quDebMZ6rXRcsTAAAACAkiK0xZxXDZclo7rQ8qM85uIHQLM15mJh6mz8rh1t/GOF4P5jkumcdfSpBUHWjVX0Xrl/W7fdtL7NTQTmB47pbG7EmP3ti0ZCtqixxpJZzw6dX2fz66N2SHOtm1huKu8/PaYhGrILTjzE7n6q09p6h3rBprI5y2ZUezsUypoXsKVNtbZ2WZP99uE9lkurzYFng8mcBUOehYNmKrSNZdwW2I7umEXDwaHKXb9HQgnVRfYH4AAAYM5a/ZHryz0EAJNEaIs5j8v1cbCh5Ud5TCaUrJRgfbY+tCoWpr7trMNn/HftVMa/rLnWVdju7o5ZJufZ8fObRlTRnrC82dp6E7a3P+EqaRfPi7oJu45c3Dg85vztE1XCrjmkya1fAe9E3n/FjgF/e3Z2x23hvFpriIZt454+CwYClsoM9aRV+wa1QXiyY8BaGxfY6YctsEd397qetuphq7G4dg151Lu2sTZosVTWPZfi34J5yYY1RAI2mJ7ZVLd1Xu2MPh8AAACA8RHaYs7jcn0cbOZixWe1fQA008H6VEPgyX5oNdH1FAtTZ+N37VQ+dAu4/rOe1YSDlkxm7cm9/RYMBq17MGXrd/fant6ErVxQb0ua6lwPWz2ntnlT+4Ddv22jNdVFXL/bwWTGbV8667nl/G3TRGITef8VOwbyt2dZS61r3aA2Df2J7HBxbCKjEDZnddGMq7KdXx9x4bObtCznWdZTS4QD19cYjVh/PO2qgscSm+HAVroGUjP+nAAAAADGRmgLABWGlh8za6JB5XihZP7zPLanz/VUnalgfTIh8HSqfCe6nomEqVMdx1iP033FWhMU7vuVrQ32nKMX2Q2P7LHeWMaa6wOuotX1sfUCtqy5brj61t/mff0J29EdtxULhtogaMIx9a8t3L6Jvv/G+nBFsenDO4cCZI1HlbISCZql98/pVV8Ttu5Y2gaSGRdCD6gfwhh56+6emKWGOj6MaTY6J6jCFwAAAEAVhba33367ffGLX7T777/f9uzZY7/+9a/tpS996ZiP+eMf/2gf+MAH7NFHH7UVK1bYxz72MXvTm95UsjEDwGzxg6kn2wdsaVPUWupr7IhFDbT8mKDRwsCZqorNf56dPXEXtIWCgRkJ1idTXT2d7ZnoeiZSVTvVcYz1uBGTjG1oG55kTC0Lbt7QfsC+DwUCdtiiejeZWDoTs7pIyAZSqqAdsFWtje518bc5Eg66frJaVn1nFdi+++yjxg2szzp6UdEguVi4e/3Du+2Hd251PWxV+av+uCetaLF9G9tcWOsHtrKrJ+62qyEadROQ9SaG2ie4QuK88eg+hb3KdH2FywAAAAA4+JQ1tB0cHLSTTjrJ3vKWt9jLX/7ycZffsmWLXXjhhfaOd7zDfvrTn9qtt95qb33rW+2QQw6x8847ryRjBoDZkh9mKQQ6ZdV8Wn9Mwmhh4GTbTYwW/uY/TzbnmZfz7MhFQ8HgdIP1yVRXT6d9xkxWcU91HGM97u+TjGWtYyDpwk+9piqgLbbvW+oitqsn4frEprKeLZoXtrqakK2YX2/nHf/31ggP7+yxPb1xa+9P2kAqawOJjD3nyIVjjtMPRX+/Ya/dsrH9gOOqWDXyB37+oBt3U23EtUDY05u0VQsbbdG8GmvrSw2HsPWRgMXTngV1vKWyFktlLJczy+WFsqGgJi0LugnI1MIhnc0O31/qwFYTowEAAACootD2hS98ofuaqG9/+9t22GGH2Ze//GX385o1a+yOO+6wr371q4S2AOY8etnOzv6bbFA5Wvib/zyFfVCnq7AXqvqbqrdqsbYD0wleZ3LixqmOY6zH+fdt6xx0bQVWtzZaNBK0TCbnli3c937Arn61vcvSI6rT/X2mf9+/rdse3tFj4aAqcrOubYHCWL9HroLf5S21KuC1PzzWbju7Y64Fg8aSHxjnH1f51cj541Cv3FhyKIgNBwN2aEudJZbPtyXNSRfA7u1VyJxyAbN62SqcjYRDNi8YcC0S1LJWoa3GGg4F7fDFjfbY7r7hwLYcwqS2AAAAQMnNqZ62d911l51zzjkjblNY+773va9sYwKAmUIv29nZf5MNKkcLf2cy8CyUHwDqUvyx2g5ovQp1b3us3QWKusReoeFE+snOxGRiE23jMVrFstoNKETV449a3Oh+zt82UVsEtUFQj1q9lueuWewmHivc9xPZHi3T2hi1BY01Nr/B3CRk/ZqErGvQfnT3Ntdq4bBFja4dQ84z6xpMWp9mCwuYLW+pt929cetPZGx756DrTbt136DdunGvLWmqtXOPW2IvOmnZcNDfUBNy/V9VNaswViHsnzd1WEtdjfXGUja/vsaCgYA110csrgrbZMYFtzXhkA3uD2x90VDAljRH7dlHLrLO/qQNdsWtXOom1jL5oDNWG690Ou1adN1www22efNma25udueon/vc52zZsmXDz9HV1WXvfve77be//a2bMO8Vr3iF/dd//Zc1NjYOL/Pwww/bO9/5Trv33ntt0aJFbvl/+Zd/GTGWq6++2j7+8Y/b1q1b7aijjrLPf/7zdsEFF5RwbwAAAKDU5lRo29bWZkuWLBlxm37u6+uzeDxudXV1BzwmmUy6L5+WBYBKNJuhYDXvv8kGlaOFvxN5nulMEjbRims9nwJMzW2l3q8/vGub3bqx3fV+ncr6ZquNx2gVy7c/0WFtfUlbNC/qvutn//H+PvbbGuS/ltPZLr0WCkY7+pIusFUF7Mr59fbI7l5XubtM1bDpnPUn05bNmWWynm3uGLSewZQ11dW4Ngyqvs24+3Ku9YHCW/WlfWRXrwugk5msPePwBfZkx4AL1VvqI9Ybz9jm9kELBGMuYFcwe+TiRjcBWW8sbfF0zgXFno0MbFVVm8zmrDYSdseAqn739CWGJzQrtZxr5FB9xmrjFYvF7G9/+5sLUrVMd3e3vfe977WLLrrI7rvvvuHlXve617nA95ZbbnFB75vf/GZ7+9vfbldeeeXweem6detc4Ksryh555BG3vpaWFrec3HnnnXbJJZfY5Zdfbi960YvcYxUea/3HH398ifcKAAAASmVOhbZToRPcT3/60+UeBgCMa6Lh4kwEg9NVCWOYjSrS6YbnMzHpWX5orJBv30DygFYJf+/9mnNBZCqTdeudyvomSwHlvoHE0ORf2ZxrCTCZ8HkibUDGei2ncuypmveezZ12b6rbBd51NUF7vL3fOgdSrg3BAzt6XOsC9cvVz011EVcpG42EbfXCBjtiUaPd9Oge26flQwHLeQELhYJuP9y4fo8FgwH3WuVyngt4OwdT1hNTAOy5lgtexlxonEin7cm9/W77FeJqHbms+tweOLWYnuuQplpLprKWzeVsXm3EcvG0C5RLHd2mlSxXobHaeKmyVkFsvm984xv2jGc8w7Zv324rV660jRs32o033ugqaE899VS3zNe//nVXIfulL33JVeRqjoZUKmXf+973rKamxtauXWsPPvigfeUrXxkObVWZe/7559uHPvQh9/NnPvMZt26tT0EvAAAADk5zKrRdunSp7d071IPOp5+bmpqKVtnKZZddZh/4wAeGf1ZFw4oVK2Z9rAAwW2YiGDwYxlCJ4e9MTHqWHxorsFU1Z088XbS/7rbOAbOA59an3q+l6IOs9gI7uuJWEwq4yb/US3YyFcsTaQMyVjA7mWPPfx6/3cLRS+e5dSrkXr+71+prQm6yL00OdtzSJmttrLF7tnRZc13EBbcKXTfu6XOTmCnM1fK98bSrzg0Fcu67AtfF82pduwMFt88+aqHd8eQ+NyGZAlu1SlCBbDqVdWNKDaSsJhxwIXEmOxTVquLWp5pW91PA3Ou/sztuiXTG6mvCVhcJWdzLWN7iJaHqYoyvt7fXAoGAq5L123rp335gK6qoVZuEe+65x172spe5Zc466ywX2Oa3/lL7A1Xvzp8/3y2Tfy7rL3PNNdeUcOsAAABQanMqtD3zzDNd77B8qjTQ7aOJRqPuCwAOFpUwYVkljKESTWXSs2sf2mPdsaT9JpZ2vV4vu2DNcAipClsFtqP1171pfZvt6I65CatK1QdZgeaK+XWuYnWoDcDfw6aJVCwXu70wpFUF780b2osGs5M59vyAV+F2byxjy5rrrCGqvrMZtx4Fogpb6wMhO3ftErvwxKH+tH5grn2rylm1Mjj9sAV2wqHN9sfHO6ytN2FLm2pdv9u9/Uk3mVldTci1PljWUm8nHNpi92/ttM7BtKvCDeyvjlUg67k+xJ5FwwF3nypq8+X/9NS+QUukMm4Zz9TfN+sC3eFgt0RUFYyxJRIJ+/CHP+zaGKiYwG/rtXjx4hHLhcNhW7BggbvPX0aT7ObzW4HpPoW2o7UH85+jGNqDAQAAzH1lDW0HBgZs06ZNwz9v2bLFXRKmk1ldVqYq2V27dtmPfvQjd/873vEOdymYJmdQv68//OEP9otf/MKuv/76Mm4FMPcuI8fcVgkTllXCGCpRfiB5SHOtCx8LWxvk0+8FBba6lD6ZztpfNu1zvy/8nq6P7elzFaKq+FTQV9hft1jv19mmYHLDnv6hccfT1hNLFZ0IbbSK5WK3X/XXbfbft21yk3ipmvXopU3WEA0XDWYLj71lLbVu8rZiv2PzA96H4j22tXPAVrU2ugnQFJCrvYT2azydtb9t63ahbX5grjYH6n+7uydutz7W7tojrNsf7mod/3f/DvvhnVvdONQuQuFqe1/CtWLQa6pgNZdV3DrUCkHUF1e3DyYzI/rYqnI5FAy40FbrVNVuXyztKm6V66Y0OVqZ1PDfrDGpV+2rXvUq8zzPvvWtb1kloD0YAADA3FfW0FYTNTz/+c8f/tm/9OuNb3yj/eAHP3ATN6gvmE+VCApo3//+97v+Xoceeqh997vfdZeIAZXqYL6MHHN/wrKpfqjApGnF5QeSChLHe+9rn/9mf2AbjYRcFav2qf97QxON6Rp7L+fZhSf8vXVCsfWVisagwHPrvgFXhapq1Mtv2GitjdEpfzB11V93WHt/ym3vQDJrgUC/HXtIc9G+vupPm3/sqdp3tP3sB7wKVBc1Rm3F/Ho77/il7jk++qtHrHMw6dpKRIIBu2tz54jtWN5Sa7/fMBSIDyQzLji9/ckO165Cz6d1KLzVv/32C+Fw0B7c0W0DyaHAVhTCancsmlfrWiso4A0FPEsOdUsYpl612m/z6yNDrRX8qtuCdrKlrrKVdLpgsDggsN22bZsrJvCrbP22Xu3t7SOWz2Qy1tXV5e4bq/WXf99Yy/j3F0N7MAAAgLmvrKHt8573PFeVMBoFt8Ue88ADD8zyyICZw2XkmGkzGdRN9UOF2QgLp1uVXs6q9mLrnsh73w9AVWGrwHZ+Q40LIvMfq+rLIxc1VsyHPdqnCjbXLm9247vjyQ7b3tlpa5c3TfmDqcHUUBWpWi6ks1nXZ1YhtfaZWhHcv73b9VXV7apefsUpfw+fvnzz425CsIBntq0rZut39bh9+v5zjx7x4cK645aMOCbOP36pbWzrs95YytLZof686kV7/KHNbjvOXbPYDp1fb5v3DbretOp7m8161jWYdM+X/5rLygX1bsKyTe39rv+txumf4WSzZh39SRfMuurbIvtA1bjqtbuzeyggHk05usuqJy9GD2yffPJJu+2226y1tXXE/Wrf1dPTY/fff7+dcsop7jYFu7lczk4//fThZf71X//VPVckEhlu/XXMMce41gj+Mrfeequ9733vG35u2oMBAAAc/OZUT1tgLuIy8tIoRWB3MLa6qKQPFaZblV7OqvZi657Ie1/Hj3rYFrY40M+V8HtjtGM+f9tUPdpcH5nWMfSM1a22t2+3q5pVcPuMw1qHX7t/+sn91jmQtKbaoQrUWze2jwhtNTHa9s6Y+57MelYTMrvhkT3uvk+/5PhRjwFtyy/v32ntfUk3MZjaFTTWhm1hQ8T1Gb7rqX2ub6361SqzVJCa8zzrT2RckPyBnz/oqmsV1m7vjllfLOUCW1XlKuDNpzpVBb5jBa+6Ta0a8lsmVApNglaNxmrjdcghh9jFF19sf/vb3+y6666zbDY73GNW92tisTVr1tj5559vb3vb2+zb3/62C2bf9a532Wte8xpbtmyZW/a1r32ta2Nw6aWXup6469evd1eTffWrXx1e73vf+1577nOfa1/+8pftwgsvtKuuuspdrXbFFVeUYa8AAACgVKrzLBwoIS4jL41SBHYHY6uLSvpQYboBcjkD6GLrfttZh0/ovV+sank6vzfUY/artzxhT7YPuN6tqjgdbbKwqR7z+eNTi4RdPYlpHUMfOv8YC4cCI8bsU59YTRamQFe9fRWe5ofJbX0Ja6gJW3cs5apVVRWrf//24d124qHNw/1nC+m2k1e0uLBWQbGC2GAg4AJb9a5VZwqNR6Gte979fWnVDuGhXT2u8tef3EztFRQYuy33hnrAJjMa69B4i+Ww/nP6gkH1sg1aLpP7+6RlB3ZHKAtN3FaNxmrj9alPfcquvfZa9/PJJ5884nGqutWVYfLTn/7UBbVnn322BYNBe8UrXmFf+9rXhpdtbm62m2++2d75zne6atyFCxfaJz7xCXv7298+vMwzn/lMu/LKK+1jH/uYffSjH7WjjjrKrrnmGjv++ONnfR8AAACgfAhtgVlWjp6T1agUgV0lVaUeTP1xZypALmcAXWzd03nvT+exCmx/t77NTWy1qX1guOJ0Jo/5/PH5r/t4x9BYx4dC5dHG2NpYM1Tlqhm8AgFrbYiMCJN3dcetK67AVpN4eZbeX8Y6kMjY/96xxR7Y3mNdgyl32wuOXWwvOunvIa4mVXt874B7noZoxPWx/fUDu9xEYA3RkPXEMy411c8h82xla4OrolXlby5n1hNP2d1PdVogaC68PnvNErt1415Xmar+uU91DAyFzum/t0qw/YGsQlptki+bM4uGzIXFSnTV3zeZ1haVnwLoajReG6+x7vOp6laB61hOPPFE+/Of/zzmMq985SvdFwAAAKoHoS2Ag0IpArtKqko9mPrjzlSAPN7jZ7O9xWxW1E923KoOVWC7fH697eqOuZ+naqItHkZ7nfPHrqBTFbkKQydzfCxojNpRSxpdhav6xKqfrsLoff0Ji4SD1p9Mu94Frh9uamjCLNedwPNcaLqzO+6OSVXq3retyx7Z1esqeW9/osM9z9KmqOsnrABX+1a33bOly3oV2A4bqphV5Ww6k7OeWNr9Wz1q+7NpW9BQ49oiKMCtCYfcupe11LmJztQzN7w/oPUjPrWTGEymXXircSf2p7fax1qmLhywBvV58LKWyJQ/uNU4AQAAAJQWoS2Ag0Ip2lDQ6mLiVZkKy25cP7mAdLoB8niPn832FrNZUT/Zcau9gIJHBbaaXEs/l+uYHzH2Xb0urFy7bNGkKtU1/if2V8Mq1FS4qonGdnTHXTjdFUtbfSRoLQ01tqMr5oJUVauqODSQ9SxgOVcdm1FrhVTW/vxkh23ZN2i7euLWUh+x+fVRO2XV/OF9ev7xS+yxPb3Wn8y4oFXPFQwGrDYUtMWNUVcVnNrZbemsWTKdcQHxYQsbLOt5Fg2H7JKnLbdMLmdX3bvDemNpG0zlDphYrD+RtlBAI/OGA1vx/xVLexbb/9zlDmylrobYFgAAACg1QlsAB4VStKGo1FYXlTJBWn5V5vbOQXcpuyohxwoaSzn2qbS3mO74ZmL7Jjtuvx9ssf6wUzXV4DB/7Du7Yq4H7GQr1YsFx9q2FQvqXPVtMjPg+tJmvZTrZ1urstZAwAK5nC2eV+smKIulsq5fbVNd2C2zfnev1UdC1rN/V+bv0+5Yxp599GI7tKXOfnHfDldVq6rXUDDoAuNwKGgP7lA7g5yFgmrJEHDVt6rxXTIv4ipnLaMJ0jJuvYWBrWuNEAhYKBSwsOe5tgij7V/druBW61HoXC51VToRGQAAAFBOnIUDwBxXKROk5YdrCrFUnThe0FiqsSs81eX5qvZUeDi/oWZCoeF0xzcT2zfZthzF+sMWC4/98Y0VKE93/Plj1z4/fnmzLWyMTqpqt/DDEm2LgliFqaqUbYxG3O0KNRuiYTcp2NLmWuuJpy2qANUi1lwXtmQmZ0ubam1Pb8IFqfpZLQ26B1N2/LKke16tyx/zzp64zauNWGNt2JY01brWDJ0DKct4ni2fX+faLqjSVwHs7r6EW+/yljq3v5QMq5o2WyRnVTWtqoH1/miIhKw/lXVB8liCZa63VfsIAAAAAKVFaAsAc1ylTJCWH65d++AuF16NFzSWauwKH9VPVZfnq9pT4eFEQsPpjm8mtm+qLQoO7Ccbd6GmH77KeIFs4fif6hh0r+1EK4eLjX26ldRDr2XcTfyl9gOquN3ZbZbKZC0aCbkgd0FdjXXFUi6gVai67rglduYRrXbLhnYXxsYS6eEJyzSx2fauuHtebX/+mLUOHTfaB9u7YvZ4e7+b4EzVtApak+mchUMhV+mrycpcpW8kaFs6Bl1oXEwkaK5aV8sVq8QtpLs11OD+f5cjvlXPXgAAAAClRWgLAHNcJU6QNtGgcbbH7geX6i+azGTtjMNaXWinas+JhIfTHd9MbN9U23LkV8mu39XrAsi1y5qHw2OFf+MFyoXj74ml7PpH+idceTuZsU+0lYTuV/jsb8uqBfWup+xfNnVac33Y9ajtGEhYf2JoIjFNQPbnTfvsjMNbra037kJXf1IwN2FZIGBbOwfcMSJar76uf3i322/tfXG33eo9q5B1MKlWC27uMxfALmgcCnBVtXvv1i5b3lK7/76AW0l6fyobDQ1VAJ9//FL70xMdbiKz3nja9valxt03GufieWHriQ9NTFZqRy+ZV/J1AgAAANWO0BYA5rhKnCBtomHdbI/dDy6T6aybuMqs0xY21k6rn+pceW1G9JPtVj/Z9AHhsYJXTRqnKlK1tFAVbX5YWjh+9ZJVBakf9GrCs8lU3o5loq0YCoNk9Zk96+hFZvaEG59CU3Wa1dgUdqoCVpOJ3fZYu6u8VXsDP/ZUrqqwNZ7K2oL6mqHWBvv98M6t1jGQtHgya7F01gXFapHgKl/3P0EqZ7ZvIOXWp9vU51YhsNoZNNXVWCDgWddgyk1QduRivQ4Ju29bt9WEhvruNtSEXXuGlBriFsifhEzPvW8wU7YmCUuaqLQFAAAASo3QFgDm+ARglTpBWiWM3Q8uzzii1eypTheeXXjCUCVlKcZXztdmRD/Z+qgdv6x4P9mb1g/1YFWPVT+0LByzHxaqqvWJvQPDgakqRWeqJ/FEW0kUC8L1PmzrS9qieVH3ffG8qC2oj1hXLO1C2wWNUbcNy1pqLZ7O2EBiKCVVmwO1T9DyOkbUp9avQk5lc9ZUG3GVusHM/hA1r/msAt9AQJOE6XvQ1PX18NYGC4QCrt+um48sNxQaKxA+bXWrBazLHYOvfcZKV5375N5+e2yP9tvfn1e/QWojAVdRq564wf0TkaWKNcgtke/9Zau9++xjyrZ+AAAAoBoR2gLAHJ8ArNpC6skYnlSqO24L59W6wLZcr9FE999M7eeJ9JPVvtB6wuHiYWnhMb7uuMVuH/rPuamg8nayPXsL++6q9UBhNXCx/TFe71291v/0/CPtyr9ut/a+pAs+59WGLZGpsSMDje54qIuE3GX/8XTW9ci9e3OnC7cV7D68s9e6B9OWyGRdnhoJBd1kXGppEExnXcSqIDWk1NZVwnpuzE+091sgEHCTl6m6W9XLCmd3dMfsqnu324oF9fba01faK05Z4VoufPeOzRYvaHegOLm2RhOnpV2FsLLacga2oj7QAAAAmDmrP3L9pJbf+rkLZ20sqFyEtgAwxycAm21+aHbj+jbXD3blgqEgVBWIqlSs5BBXl83fv63bXTZ/1PBl9JUb8mtfX37DRvvLpn0uJHx4/wRQUwma9Vr4Vah6jfS92Gs0Vt/dwmNcE3Ydsajh75W3rfX2eF7l7WR79ubvE03mtbyl7oBq4Ose2m0/unubm2isJhxyx93Fp64Ycxs0Rscbqobt6E9ZzuuzU1bNt6etmD/8/HruH9y51e33nV0xO3bJPBeyavKxZfPrbHdP3JbMi9oJy1vcJHbqcbujK+bKblWh21ATsu54yjoHUq7yNpbKWTQStHnRiGuLkM0NVeQqc+2NZyy5d8B+ef9Ot18f2tFjmzoGi+4XBcbiQlsrv/1ztgEAAAAoIUJbYIbNxWpEHDwTgM0GP1jb1jngKu6WNde5kE09QlUkWMpK48m+v25/omPEZfP6uVyVthMJ+bVtd2za56o0/WB0Oh8GTCQo1j5Ur9ZbN7a7kFChqPaz9ut4E5Gdu2Zk5e1ke/b6++TQ+XV291OdbqIvBav+86hf7hW3b7b2/oQtnldrHX1Jd9wVhrb5VcWqlI2lMva/d2xxPWxVDauq2M7BpAvC3332UcOP0wcRmzsGhvf1Qzt7bEtnzO3/Zx7ROtQqIefZkuZaVwms51nQWOPeB886stVOWN5sX7zpMVMr22gk5PaR9qXWlc0OtTfID12TmZz9dUuXbdk36ELdzCgVtH5I6vfOBQAAAFB9CG2BGVZtl8xXs0qcAGy2w8aH4j22tXPAVrU2uoCv1JXGk31/VVI19ERCflUE61L7wVTWfSlNnM6HARPZfoWzuvxf+aGWvWVju6ug1n4dbyIyhaL5IehU94kCW00Ut2JBnXt9FXyqRYEqjjXRlyYK60+kXYWrJhLLn/xM1dMK4/2fFTpfec926+hPusdpuyKhgGVyIdeDN9+T7f2WUM9aVbTmzJ5qH7TjlofcxGwKVTUBWTQUsEAwYBv39FlLXcSefdSioRYMjVF70UnL7Cf3bLPB1IBrv5DNpS2d9dwYXDWu2h3kBa/e/p+7B5NFJx8DAAAAAB+hLWYUVaZDIYkCAlVqbescdJVc1bgfqsFcngBsKsGagr1FjVFbMb/ezjt+qDrz5g3tM1ZpPJHfH5MNYSupGnoiIX9fPG398bRrBZDKeLakKTqtlg4T3f7R9mvhMa6wNH8isunuT38fXHXvDhfYnrpqvt23tdu+/afN1hdXy4GAZXM5F3T2JzNufDoG84N7tb9QFbV+7/5+Q5sb10Ayba2NNZbJ5iyeydm8aNhNotZSXzPiWOtLDPVqVR9azzwXmJ+8vNm2d8asrS/hJg3zvKCriG2pj1hvLO22Xa0c9g0kXRXw2kOa3XthqB2C5z7McJ1uPbOaUNDqa8OufUK+5BwLbLVNAAAAAEqL0BYziirToZBEwUHHQNLMC7geoNov1bYfcPDIDxvXHbdkOExV8KUgd6YqjSfy+2OyIWwlVUNPJOTX5fvzajXhlVlN2FzV5nRaOkx0+ye6X2d6f+bvE732CmxVcRsODrUSUIiqqtVQ0Fz/WLVOaKqLDAe4Gq+qfxc01Lhes5v3DVo4GHRBr1ot6N/1kYDbr33JjGvv4Ae2Wl9zbdhV36qVgapt1f/2D090uMcOVSAH3DhUXX5Ic5011IRdBW84GHD9fVV1rMnTWupqXE9cjVdFtqls1gW36ZxnAc/c8pk53OvgpBUt5R4CAAAAUHUIbTGjKulS5HJRiKHq2lQ2Z6tbGy0cClTlfqhUVIPPXNg405XGE/n9MdnQcKbHONvHz5GLGy0YDFh9Tcj1SNXl+BP5/THauMba/vzHLG+pdf1p1e5grP061f2pdWnSrz881u5+PnvNYjt7zZLhtgbLmmtt3XGL7f/+tstV3C6oj9ojO3tsIJWxSDjoxjSYyLrHH7awwf1e9QNmTTA3NNlcv6t0rY+YzW+IWDQctiMWNriAV1Wz2pe79n+I5h9r561daj+/b4f7fX3EokbXzqArlrbF86Ku+lbjtnDOasMh61YP2lzOVi9stA27ey3ree5DC1Xd5nIKaz2LhoOWSeVcG4TacMA9R18ibTWhgAuFFcLPxej2whMPztYvAAAAQCUjtMWMqqRLkctFocb5xy91VVyaRbxa90Olohp87v7+qITAfbaPH22TAkj1clV16PyGmgn9/pjKuAofownFptOfdrx1/ejubW4iMZWe7uyOuZ61amuQv/7XnLbCjUkVrouba01RoapX++IZ292bsMZo0PWWXXNIkx25qNFNOqZK3JsebXOTgSkYVWVsMu3ZB9cd6fbB12590p7qGBjxYYCOH63/vu5uF4431YZtVWuDC1VPXhm1XT0J6+hP2L6BhKuY3d416LZDbRqWNNVafyJjnYNq36B1Dk10popaBbm+REYBrefCWwW6xQJbPbe3v/3AKHOSVYTbNnbYpc8+otzDAAAAAKoKoS1mVCVdilxO7IfKkh/2PbZHvVkDM1INXgkhYjW9byohcJ/tqwl0/Fx2wRq3rWP9/ig89ja1D4w6Li17/cO77daNQ1WuLzh2sZtAaza2pdh7QnT1we5u9fsOWmM07Cpb1dZg0bzoiPW/7azDR7Ti8CcZ++JNj7vA9rDWRtvSOWBb9g3axacc6gLbPz6xz7U10JfaISgc1X7UYzWezoGkPbqr17Uv8ENwPxzfum/ADmmqdQHsE239dtrq+XbE4gbXAkGtFDxTe4Ts0HOGgpYzc49LZdW7VpW0ZvWqaK4JuXBZbRU8L+uqg+OpnAtlA+7/9cihcDawf9IzZbRD95vV6fE5z2LpoeUqzV+3dpZ7CAAAAEDVIbTFjKqWiZnGw36oLPlhn3oMK1zZ0xN3vSx1ybSCnamErZUQIlZakDyd9Y/3vqmE9iuluJpgIr8/Co+9pU1RN55i49KyP7xz64g+2zXh4KxsS7H3hKiyVnmkJgiLp7O2ckG9a2ugStv89fvb7h9HP7prmxvnc49eZDdv2OsC24FkzprrA249CkG1rhOWNdsdT3W6CcEaoiGbVxu2WzfuddW0f36yw1QA2x1L2/HLm4ePydbGqB17SJOrou2OpSxbG7aHdvXaI7t6bWVrg5toLLu/H21aVbMBBbchV1W7pKHGBhIZV3Gb8TxbOC9qp6ycb/v6k7ajO+a2p70/4cajVrZBC1pTXdC8/cGuP6+XKnUV3kZVWTy/3jbvG7BkZmTJbSVU4abm2MRpAAAAwMGA0BbAQS8/7FPPS1Xc9cYz1lyvHpeJKU8UVyxELHdoWu4geTbXXwntV/Krgf1L83X5falf68JjT60UNElXsepcLavK1qbaiPs5lckeUNWa/5jpHMOF43qqY9Ce3NtviUzOVsyvs86BhDXW1tgbn7l6uKdtsTEXHkfPO3qhC0vV01aB7brjlro+telMzh0LNZGQNUYVqIbthOXNrg3Dt/+02friKQsFg66SVR/QLGyMDm+LmzRy417b3DFomezQBGJdA0lrjEZckKs2C35FrOOZLZ1fa7msuQBclbbzakO2vKXeXn/mKrvwxGVuMfXu/cnd26wmFHSBr0LaxtqwC3h1vPjUP1etGRSgK7yNpTKuB27QhiZFU3arcFf7IK5tDJolCE8BAACAqkFoC+Cglx/26TLnZS117vLl6VZsFgsRyx2alrsadTbXXwltR/KrYK99cFdJXms/RFU7gb542gW0qhIfTGaHjz1NYKb94Yet+u6HrTpOFSD6lbaLmqJFq1qvuH2zW1bVoTdvaJ/SdhW+J9RiQFW2/Yn0/nXX2Vuffdjw8xVbv8btH0eHttTZ3Vs67bcP73H9bhXI3rKx3U0otr0rZkvmRV242pPJ2bFLm1yw2zmQsl29CQsHh/rb1oTNugazrpr2+IHk0ORipknBchZPZVxLhdpIwP2sfapxDyQzIwJbBawKXnVDVyzlblPF8MkrWuxlT1s+/OGPxq4QdkFjjfUm0tYTS9uh8+vt0AV1ds/moRYD4dBQewRVzypA15gT2ZxrjaAQWrGuqnNF39RmQY8JhYIWzA5NcqYWC/4ypUDTFwAAAKD0CG0BHPQKwz5Vuyn4mW7FZrEQUcFTOUPTclejzub6y9l2pFj1aakCcv+DgPa+uKtc1eX/rQ1RO+nQZlvaXDd87I32gYF6u96zucv+urXLGmpC9ppnrHC3KXTWNqjnq0LQhmjYPc5vOTCV7Sp8TyhoVqsBfVCi51IIO5Fexf5xpMB2R1fcVelqmXXHLXZfP75rm+3tTVhfLG2DqYytbK23hlDIVcy29yetvibkJoJs70u6ilVt0/L5dcPhqlvvhnZrqou4YFX0e2FRY9TtD1Xk+1T1qnBYlflDYa5ndZGQC1w37Olz4XFmfxsE7edWBbaxtJugTPtb4W1NX9Dqa8I2mEqNaDWgwtu+RGbMfToU0gZcta0CXv2s/relFNIOBAAAAFBShLbALCr3pfIoHvbpdVE13HQrNouFiOUOTctdjVru9c+WsYLF2X6t/XC4Pzl0eX1NaKiaVGHjf7z8xAOWKwxb1YJg32DKjlvW5Map8FC3+duzflevNdeF3aX82zoHrTYccj1ap7Jdhe8JBcNP7NUkaSFXcaqJx/IranW7gt19Awk3SZmqXTVZ4BGLG13Q2h9P2/KWWjvjiFa3Pf5kanv6Ei7AVCAqeqyCUrU9WTwv6p5TVbR+e1hVtSqMfSrYb4/tabDamrDb9jMOa3X3K9xV8Hvqyvn247u3uQBW1azqhauUVN9rwiFrdMumXD/bTM5zlbGqItZY9L/fP7bXzjl2ie3sjrt2B2rLoPC2azDpQvF9A5rc7O8mEr2GggpphxZW/9xytLdVCA4AAACgtAhtgVlU7kvlUfqKzXKHluWeBK/c658txQLR0XrCzvSHOH44PJjMuMBOAaUFDgzvRguRi41dj/VvU/uCnV1x290Tt0RK/WE1aVbEjjukfrjtwky8HzSxlypde+LpEb8P1fJB1bQKo1NZzxpq+uypfUNjVrjq+lB3x21756ALUxW+6kthaDg0FJYq7FXLCFXDnnF4q+3qidlAYqjCVo/R9sZSOdvVnbD1u/vs4lMOdWPQpGwLG2vt+GXNblK0+7Z3uzBW1bXu+YNmC+qH+gU//9jF9nhbnyUz7cPVuJFQwPqTWVfhGwh41h9L2U2P7rGuwbRrc6B2C/U1QQsGg9boEuDJG2qDW96ZyMhsAQAAgNIjtAUO4v6iKL2DNbSsdsUC0cm+1lP9EMcPPgOeZxva+tyl+dFw0M5es7jocoUh8mhhrn/b/PqoZV1bgYSb0EsVtwpwFWxO91jO30easE2BbeHvQ/XoVfsDVb+rkliTps3PmzjQy3l25KJGV9W6pyfuWhT4QabuP2JRoz3riIUutFUorIBXPXx1Sb+2y8urFnXryOYO2FdqF6Hq46vu3WGHtNRaLJm1ZDprdTVh++B5x9jFp65wofsju3rdBGTz62usa1BVswHzcuYC2qBnlsh5FssMVf+KbldfXfWk3ds/dhuESrZvYO6OHQAAAJirCG2BWVTuS+UBVE4F9VQ/xPGDT79v7WhjGC1EHmvs+X2ev/Wnp1xQGY2EXJBabHzTafmyrLnWfr9xr6tWVauB5xy50N2uat7HXQuFoPs9ubQp6qpe/YkDLzxhqdsutVpQ8JvaXwmrLqvhUNAOX9RgH1h3zPDYNG79u6Uhbnv7hqpytXRTnap2zY5ZMq/ovhqeYO6h3dY9mHIh8LOOXGgvOmmZu13PrVB4Xm3YnmofcBW5NfurfVXRq/2mamjXyiCPWjMo0BUVSedPcDZXFGwSAAAAgBIgtAVm0UxdKk9vXMw0jqnSV1BP90OcqY5htMcV9nlWFelfNu1zge38hpqi4xutWrjwePIrV/OPL/WIHWoSO/Td/Vzwe3LRvBp7YHuPbekYsPpoyF5z2orh+/VdE31tv3+HexpVr9aGFZgGDthOBbwa52ELG137BVXkKmQ9anGjvf/co4vuJ23DUM/goC1pqrXXnr7Szl6zZHi7Ht3Va50DCddbOJnNDbVlyHmuMlnPrQpeBbTFRIIBqwuH3fIartomzLXgFgAAAEBpEdoCc+BSeXrjYqYVO6b8Ss6xgtxqDXtnYrsn+iGOv65N7QOu2lP9ZRU2zua+1vNedsGaMSt5pXDSMI1R4738ho3Dge/DDTUuXH1kd6+lMpr0L+TC0N29CTtsUeNwpfHunsTwuv3fZ5/8zXq77fEO199WrRQ27um31zwjNLzc01e12J+e7LCO/oQLTefVRlyv2Yns6/x9V+z11M+3bGwfrvhVMPzVW54Y3q69/UkXAOsOtV1Qqa+3v6xW39SPVxXAdeGAJTND/9Yyui+ezlpQvWEjQWuoCVsmm7OEP0vaHFDH2SIAAABQcpyGA3PAVC+rrtaArZzmyj4vdkxN5MOBav0AYSa2e6If4vjr2tefsB3dcVuxoM6e2DswpXXO9PgKJw3rXZa26x7abTc+2maxZMb6EhnLeZ47ngYSGdeSoKMvabc91m7nHb/UHt7ZY3c82eHC6Ja6iHu/5L8/FArruZfPr7dd3TH3c/576rE9fXbC8mbzvCZ33B6+sHG4fUGxbfEfe8Xtm0e8H/Nfz4d39tr927rdupKZrJ1xWKuboExjfmxvv2sZoXg1m81ZQzTkQtdtat2gqtm8KcL0b016FggGLBoJuP2gycyGpiQLmLrrKutd3FTr2j7kcmlLzZG+A3U1kXIPAQAAAKg6hLbAHAjmpnpZdbUGbOU0V/Z5sWNqIh8OVOvkeqXYbv/3iibDUlAYCgZcgKmq1kgoYDetn/jvnOn8jhrrsYWThrXU19gfHmu3ZCrrKlMV6mrCtNqakPUnNSGXosqhycD0PApHt+6LWXN9xPWH1Xryw9VYaij49boUipqrMM5/T+3sjpn6Cxy2sMFWtTba+cePXQ2ufrZaj8LW/Pej7tM+TaZztmF3j63faW4CMi2b8zpdQKvqWFXEaju1XV7ALBIY2kZNhBYNDXV78IPXofYP5pZXy4SweS7Y1bbXRYJun2kytUQqa5Fw0OqjEcvEhyLdSteojQUAAABQUoS2wBwI5qbaG3cuB2xzpWJ1ru7zYseU9vd4Hw7M1uR6lf56T3e7J7J9/u8VVXuqwlZBo6pZ1YZge1fMJYTh8MR+50znd9RYjy2cNOyIRQ325N5+q60JunYF6vcajQRdj1eNuzuWtoWNNXbW0Qvd86qatbk+PFzN6r8//HUe0lxnXYMp11f2iJY6a6gJ2Y3r21zAqveUetPmcp77d08s5Z7v//b3uFX7Be1brffmDUNtDtSHVhOHhYN1tmXfgH33z5vt+of32N7+hHX0JWwgmbVYOmvhQMBa59W4icI2q9o3HHAVtQp9VT2b9Tz3Pb6/J61aHyiE1Xg0MZrs/+baIST3V+EGg0M/a19pWdnTl3ChbmtDjZmXtZ5E5ce2SaXUAAAAAEqK0BaYA8HcVHvjzlbAVgrTCZ3KGQDOlX1e7JiayIcDMzW53lyrUJ7udl//8G774Z1b3WRVCiQVLL7ilBVFf68o0DTrtEgwaMccNc9Vt6p3bDAYmPDvnMn8jsp/vyxrrrXfb9hr27oGbXVrowtL8x+rCcb8VgKqgtXP2hZVwGrbFs2LWiAQsLa+hC2or3Eh7sJ5UVct7ALp9FAgre1b2Fg7/P7IH69fkapWAls6Y/bXLZ3uvfTo7l5XYfvS/cfF9Y/0u763f3q8fbj61h07nmf7BpNunQpKd3XHra03abF0xlXWKgCPRkKuRYPCXk0Slsjk7PG2fmuMhl2FbToXGGph4Cl4DVhjTcSFxIouFzTUuMcqUFdvWxfOBhTsDu0jP97UjwpsF9SHXV9fhc3pXM5NQjaY9Vz7iNEmLqs0ybkyUAAAAOAgQmgLHMTB3GwFbNMx0UB1OsF4OQPAStznM/nhwExNrjfXKpSnu923bmy3joGkNUYjtq03bt/+02YXKuYf//7vFVWgKtC88ISlw+u89sFd7pgu/J0z2qRly1tqx/0d5T9Wlaxa58oF9fb7jXtdOKnKyrbefS603NkVs0Oaa13v2Nuf6LC2vqQLZ/VdP1944jK3Lf4x/9uHdruer2rvoIrSpU11ru2AC6SPaDV7qtOi4ZDbPv/94cLijXtt454+S6QyLuRUC4VUOufCTVW3tvclbcX8ofeUetT6x8vjbUPvcf37qY4Be2Rnr+0bSLnwV2NQtW5dTcgasiEXJus29dMdTGZc4KyQWQmrYkk9Rr15EynP0kFV1XpWGw67NhV6nTSWnlh6qOVBOGjBSHA4/B2NilQjnufGkBjMuPBWi8+hecgsONy5FwAAAECpENoCZQjmSlUJOlsB23RMNFCdTjBezgCwEvd5qU3l+B7t9S5H1fSsrdML2EAy7apNB5Np9z4Q/3gZ6/dKsQrXsSYtO3fNYheKjvU7yn/sts4B641lbFlznaUyWasNh2x+fY09tj8M3dMTt6/94UnXu1b8VgX+e6vwmL9nc6cLe3OZnIv6+hNpN4GYqnFV+bpw3shA+u/9YD23rCpRF9QH3IRn6nGrib2Wt9S5/aa2C1qfXhdNIHbHpg7rHky5ylkFtts7By2m/ro29Fyqal7aVGtLXduFhO3s9iyT1fMkXHDr+ud6njXWhl3FbCozNFnY0KDMmmojtmx+vcWSQz2GtX/CoaCbYEz7ek9Pwm2jvvInJfOpFaybkCwYcK0i+pLF2wwUe2wliYY0QgAAAAClRGgLlCGYq/RLwWdTYaCqCkFVERYGZNMJxudKJfTBairH92ivdzneK4Xr1MRSqsCcToj7gmMXu2rW3T1x97xrlzW77/kfKOT/XikMjjWGwgpXf0ItPY8mtvInLdPPe3oT9u6zj5rwe/GheI9t7VQv16HZtdRXV881Lzp0mqA+s5s6+t37SeHpnt64za+PFn1vLWiM2lFL1FohaHt7E24s89W/NRBwVab5FbY+VeIetqjR6qNhV9m7pLnWMlnPdvXEbTCVdevXPjh8UcDtG39SM/WprasJu3B3qCK4zgWxqn51vWW9nNvnqvhVhNzaGHHBsZoaPOvIhS4sve2JDguYZ6FAwLU8UD6Z2x9Oz6uN2BvOWOVe/5/cvc0Fwv4kbNs7Y+7n/OBZz6Gq1GAoYKn0UHsFVfPqdn0fTSUHttKfyJR7CAAAAEDVIbRFVRntUuJST3pU6ZeCz6bCQFWvQ7FQbjrBeLlbFEy2UrPSJ+EqxfE92utdjvdK4Tpve6zdXco+neBYrQUU9t20vs12dA/1VB3rA4XC4FhBYrH94L+f1APWn7Rsoh9U+I9VuLqoMepaDzz/2MWWyeXsqr/ucOtUGKrL+1VdqteoLz5UcdobS9vxy5qLvrf0O1XVvhrvvv6ka3NwxKJG97gjFzWOWVnvb0dmf0Xuxaccar9b32brd/XZ4qaohYJBt2/0HK2NUVctq762qqjVpGInNdfaE+39rsdsYP+Xqps12ZgCY1XcPvvIRW4fHjq/3pa11NqGPX2uH68C2Ew67SptFbYqmF3aXOueQ8dEXyLtWiNocjFV5BaGrXqMgnP18FWlslo9aN95Oc929iTcMsG8nrdzSYKetgAAAEDJEdqiqox2KXGpK12ruRJUIY+CJfX4VCjU1ptwVYIzGcqVu0XBZKtDD7bK65k8vsvxXilc52iB6VSOSR3/er3H+0ChMDhWmKmxFO4H//FPdQy6gLRzIOkCy6HwNjtm+J//4ca645YMf1igyncFjwond3UP9aJVxanWqx6vJx7a4kLnhY3Ros+f/7wKVVVF67cu0Hbo+Qs/mMjfDvXU1eRrR+7/QK1jIOUqdYsF1tfGh9pNaDzz6sK2ty9hzbURa7OEC1vV+iBnQ/1oNeFY92DatVRQ+KqxKaxVha+e+6ZH97j958LevApThcad/Un3YZ9C2LFS18ZoyH0Y2N6XKNr0wH+o7gkHzdJzJMFVOwgAAAAApUVoi6oy2qXEpa50LXclaDm58ESzuu+vXNy5b9Bdjq0qvLkQYE+kKnay1aEHW+X1TBzf/n5WD9elTVFrqa+xIxY1lOS9Ujh+BaA3b2gfDkxVnVmspcdMfqBQGByvO27xiMm+/DHmP58/WZl+v2m8Wn6sdY1V3dwQDbsWDgpbk+mcdfQnbN9A2lXcauKuwvfqaO+L/MnOlIaqt6vfy9cPsMfbj4X7QpOiaVsVoi5pqrUn2/td39hkemhiMb2PdnXHbDCdNTUrUIWtJh2ri4Qsm8vZjs6Y1UdD9ucn97nXsmswafdu6XS9dDUBm7oYKPhW5ewTe/ttc8eAW+9E8lW1ctC6VPXrTzhWTFNtyILBoOtzOxcojAYAAABQWoS2qDizean4dC4lnknlrgQt9yX5+SGl6y+Z89xl05USYI+1byZSFTvZ6tCpVJNWckuFmTi+8/ez9skpq+aX7D1TOH7t6/zAVJfN+2PTZFjqrapL9WfydSgWfI/2vP6xcNW9O1wv2jMOa3X9c6ca/ucfj9u7Yq7y1fVj9YbCTNVcFvalLfa+0P3XPbTbbtmw1x7a2e1C26XzolYTCbmxTbTCvHBfqGXDj/681R0X+waTlsnmrDEadr/T9TqpFcOju3otls65it2BZMYtE4yGLRoJupYsllIrA8+FsvodpLBWfWfDKi/2hiZQcy0Ssp77miiNaWdX3ELqgxAwC6rVQpHl1K83kZwbga2ctGJ+uYcAAAAAVB1CW1RcADSbl4qPdQlutSnnJfn5oVA6OzQxUbF1l+u4HGvfTKQqdrKVplOpTD3YWirMZvXxdI+jwhD3a7c+OTw2XWq/dd+ArV3ePKOvw2SCb/9YUJsAtX0x67SFjbVT/jAq/3h0bRlSWVelKrpKfs0hTQeMTRXR+wYSLvjsGEhabyzpwuz7t3fbzs6YDbgJuzz769YuW9na4NoxTPQ1LtwX//ST+906xPWYVQiqhNUz29UVc9XBGqd64C5ujLqWCQpq1QphQUONC337k2a14ZCboEyP1Tj0by2jiHYqLVz9ZgieZxYNBy2TzA23QMh/Ou3JhCp651Cb2Gcf1VruIQAAAABVh9AWFRcAFf4hr4B1qpciV2KFa6Uo5yX5Ew0py3VcjrVvJlIVO9njbCrH5cHWUmE2e9nO9HGUPza/N2o5Xwf/WDjjiFazpzotGg4dUAk7mQC7sOXCd/+8eSgk9QK2qCk63J4g/zn64mnb0RW3/8/ef8BJdpdnvvh7KufOYXqSJkiapAASIBFEEBIYYWyCrwU2tln+2Nfr5e7COuHALjb+s7YXY8sJc53QGgw2xiBbGBQIQkIZaYImz/TMdM6V46lz7ud5T/1qTtdUVVd3V3VXT7+PP+2eqjrn/OJpy996zvPqxSIlc5a3dDY5y4DU6USmLNCqVdBsW6e/HI1Qa42X7KcJwIr4A+IicUbBYFhqkk6j82m6fXcvTSVytJDO0Xy6wM7WdMEqJKaDH2soJlakvKZx7i1gLb5AwvXYJVsHqDpKxyCGAlmv6CuMyCr1FaNPlOYAGbg+l0aZUuEyPn8DZdkqPXhkgj742j3r3Q2RSCQSiUQikWhTSaCtqO0AUCWsgSP2waOJtgDKV5PWsxhao5ByvfZlvblplzzijVzMrhFw2Mx5bvY+urLQVmZd10HthdGFDPWGfTWd6ysB2BgrwCuiF9K5It0wFCHdMOjho9OLroGnFrZ3+Wk6kSWTitQf9nEkQSKnU7FoMjRFNMFQh4/eesha73prXCtuAe8jzgDbxdQcXCTOKjhmwVBkYyNP9uU7OzkqAf0OeBz8OfJm8wW4hjUK+dylDNsiu2EBX9FHqDvgofl0ngxjcbQBjusNeqg75KWIz01npxMUTRVIL32O6Ai0YxfOtwNbaKMBW+jwpdh6d0EkEolEIpFIJNp0EmgrajsAVPn/yOOx22im0BZA+WpSu8DHdtyX9eamXdza7bB+K40daAQcNnOem72P7H1Tc1C5DmsZ7VEZ+3JiIs7RBPb4F9X2cgE2zgt4XDQQ8fN5U4k8vfTsCI8P11BZv2jn1FSS7aY5dtwa1BX00L7BCM0lczQZz9Jgh4/uOjDA/bHPz9ZOH+cEf+6x8+W5qtZPHP/A4QmaS+UoVzRpIOyla7qDdHw8Vio6Rhzj0BFw0Xg0Sx++81q+7qf+4wQ7bIFOAWetQmpFzunFv/O6SS6nQS7Ncu0uZAoMg70eB2fdMhDWiPweJ/V3+LkoG9y86XyxDGyhjRR3sFzBnCwSiUQikUgkEonWVgJtRW0DgGrBGjyGe3oq2RZA+WpSu8DHdtyXG2FumtnHVsLXdnBQr8U+MlsYyYD1QUGvb5+c5td37u+nO/cP0GOnZxatmdVmgrNlEVUA5yuDVFvbywHYAMCfefg0t+tyanT3/gF6bmGBJqIZcmgOeiEd5exWwzA5MuHuA/08x7GhAnUGPLSnL1hzL+HvupqfR45Psl12V2+wPFfV+omxIu4gli4wjEWxtf2DEdrWE6DxhQxDVIBVgNZjYzH6H18/RuPRDOfyAroCqiKlAaAWsQWIbQDkTWQKVChaTlqtBHZDXjc7eDWtyA5cRCjg+mcm41QwTI5DqMdoVVQCX89hFTXDj0gkEolEIpFIJBI1KoG2oraHVO0ElEUbe1+2U8G9dtJaw9e1dlCvdh/V2ze15q6ZYBpt3P/URZqJ54g0k0YX0nRkNEaT8dyidlWbcL96nBp5XA5+bW97OX9PAWz/49gkQ0/EHHz5uRHyup00GPHRls4AHR5doFzBIIdDo4dPTHMsw0fvvr6hMdnn59SkArWX5+r9t+9ktzCetLi2P0R3XNdHdHqGvp4u0EI6z0XXAFVR6AzA+CdfsYOeuzBPiazOmbPTyRy9MBLl7FlAWI/LSYZpMrxFhELI46RYRqdMoUgOh4M8mskZtYCzAM4A0Zm8wXA4XzRLMQwaRzMAxZo1kO3WTi8XY0vkiqSZ1rmAyAJsRSKRSCQSiUQi0XIl0FbU9mpnoCzaWGqngnvtpLWGrxvlixgFa795bJJB6Y6e4BX7ptbcNRNMow0UzYr4rf+TjaJZgJl9iAewtavaxGP/gIUAjshtnU3m6L5Hz5SBs33PY4y1Cj2iDcBfuE6TuQK3G/G5+FF55NMGPS7qCLhpT19oWfsGbSIy4aWxGMcMuGBF1YgePztTLuz26IkphtIYI37DVYy+AeT+25Fxvg4KhwHEji1k6JnhOeqP+GkgYhUIgxsY84CiY0XTgqZwzLoZZjvphq0d9MKlKLfncWnstIUrNl8kdtSijwC4+IEAiJGNm8ziQJNduXDr2uV1Wnm4KGfWGSA6P5OkdN5YlIu7UaWcwyKRSCQSidpL1/z6g+vdBZFI1EIJtBWJRJtG7VRwr5201vB1uV/EKHh6djpJsUyBIn43uy9b7ZRWkP/inNXuUCdyXZ2L9o2au3MzSbo0n2ZXKiAoO0ObBKZRvAsgcT6VJ6fDwbEHGD9gpn3NVBs8T6WIAkQcoFAacsHtwHkRkI5maEd3YNHnENqw5jzH7SK3dmtngIHoTCLH84H3K8e+1LqgXRwP1+r52RT1h73sDh6ZT1PA7aLHz8zS4dEobesKLLpX0Wdk5QIkx3SDQSKAK5Ai4DScvgDVcP3OJHP8XtDjZCAL13Ff2E1TsSzNp3L0zPkFcrk0Gury0WDYx85cFCkD0O2PeOniXIoyyKw1iIp5AFwLEgPeqqgDOHoBcnMlJ25P2EPnZlPkd7vY4ZvMXw241pIYhUUikUgkEolEorWXQFuR6CpQsx/7v1pjBJYLJ5c7Dxt13tYKvq4Wns4msjSykKHt3X7OuYZa2f5lyB+iwyNR3jc7e0L8OL5yp6KI1l37++k7yJvF4/cOjfvazL4BFMLhCmAJ0Hnz9k76yF3XsfvUvmbV1gMO22qFHBcB6bROQx1WoTE7kEYb0JPn5ihb0Gkw4qeXxqIMKbd1+cnrc9OObj/NJnLLGjvmLZ4p8PHQ6EKGXcSIEUDJK0DZZFTniAJEGaRyOruFf+7vnqHzMykGsYgqAErs8HvYyaoKrj14ZJwBKiIKtnR4ufgZAHHY6+a8W7hyASDjuQJ5dI1jFgB6e4JeeuU13VzEDYDe43SQ4SYKOODCNahoIscWzl4LYCrnaaZgFSozNKJ4usB9BigXiUQikUgkEolEotVKoK1IdBVotY/9V8JG5Va72mIElgsnK+cV8AaOwFpQdqPFL1Su+4fu2H0FZF4JiG42vMZj+iiuNZXIkl4sMpCrBIythPxgi26XlWc6GPGSbhj08NHL9wccntdviZDLtdjFvdp5UOf/yw/HyOty0jtfvo0B50DExy7aRvZWrS8q1JwiMiBT0On8bIJ29YYXfZGBNj7xY4fK/fjWsUnK6RZIRawAAKY3nmWnbTKnc7+QebvUuqBPD2QKDEwhrwsRDC7Oo83kdQpHfNQXdtFAxM/uXUBhFBS7NG+NweeyMns50kAj6gt6uDgbgO3nf3CBYxysKAc3DXb4GayCrMJxDPndDv4bl9UBYi1oC1du2OcqZ88GfC7Kpwo0m8gziAWlzduCacseWvWWSZTIXT3OWpFIJBKJRCKRSLT+EmgrEl0FWu1j/5WwEU61do8RWAkQW64ztHJeHz0xzRXoa0HZjRa/0AhkXgmIbja8hitzZN7KKE3lDH70vSvoreqUbiYwVlAfsBI5q8i0RSQBogEq17kaHF3tPKjzc3qRHcZ0bo56w75l5ePW+qJCzanLoTGoRCwB4DNiHapl3KriapPxLDt3AVzHswWaS2QpntV5zM9cWKCd3X66+8DAkn1CNu0TZ+c4fzaRsfJyUTAMDlbEX8D5OhDx0lg0S9OJLM0l81QoOV2nk3k+LuR1ct9u2dlN99w4RB/98ou8NwBr4dp1OTXa2R3gomM4H4XHktkCg2eYei2vrmWbRXbtqckE7eoL0mt29tAXn75EKQTcwkVLRO3vl2+tJNNWJBKJRCKRSCRaewm0FYmuAq226FElbIS7DddpRhGlVmktXK2V87oUzG5W8am1illoBDKvBEQ3G153+N2c4+pyOhjgDYR9DBirOaWbuS/ssNLuotWr3B/V4OjnHju/qnlQ83jbrh4immO3ba1x19s71cav5hRZr3CavvbaPj4OwLbW/OF6R4Ie/neMiHpDXkoXdHbXJrIFSuZQwMuwXKyFYnnPVuvTx962v5xT/OJIlB3Ee/pDVNCLNBDy0kCHj05OxmkqnmMojEiGSsHxi2gCOILRFhyxyKFF+5Yr2s+xCccn4uzWnUtmOZcWl+I8XCcRm3CLiFlwkc+l0ZmpJB0bizHYXY3KQLiG0LamOfiLCJuBt221AbooEolEIpFIJBJddRJoKxJdBVppJmkt2Hj3gX6OAWhGEaVWgci1cLVWzquKjagFZVe7Dmsds9AIZF4JiG4WvFYCeDs1leT5AKADuKw1H63YF5XjQYYtYOdSebJLzcNS94Q6/yKKfBVNGgi7l+wrrvfA4XFaSOU5ggCOVgDSynvNPqfo256+4JLzV+1+uP/JC+xuzeYNzpktGAZ99nvn6OhYrNxurf2s5gu5u13B5CIoDkczohsQi4DflUIsAty004lcOUO2J+RhWJvVi2QYxCAZUBhzgYJn9sJgOB/9RSEzr9PBOcWX5pKUzlvAt1KYPpdJlLMSHVYNORHtYF4OWRCJRCKRSCQSiUSiKyTQVrShCyiJmlMQqhpsbPb6LwUil7sHmw0GG5lX9LES1tU7fqVaq5iFRiDzSkB0s+D1Sq7Xin2x0vtjqX4vdU/Y4xkaLfSFvQNIOZ/OUyydZ4ALVYLban3D/p5L5uilsRiNzqepK+jhz2plH+N9wE/EhpyeSnBswkKqwO99/8ws3fLSZNmp3KhDHdmyyNrFtXd0B7idRFEnRylHVj2mD9c74hT6Qh52DUPdIS/1hr2ctwudmU5wEbOJmHW9SvcrnNu37+qhtxwapG+fnGbA63TwVLMb166sTtThc1Jf2M2RDdWgbGUfzRW6cEUikUgkEolEIpEIEmgr2pAFlETNVbNgYz0tBW6Wuwft0AkuOTxmDMdeK790WIt5Wisg3eh4Gh3zar74Werc5cx7s4Hxctuvdx7Gac+LBSSsd0/UimeoB/FVkS8AWzziDyfpE2dneX7tfbH3Tc3/N49N0qWFNIX9bs5/PbS1g+ev1r2Ja7z7lu388z++foy+8vwoGYDLGmILzHI/q+1n1SbmAHmzxaJBF2MZMsik+VSe8rpJE7F5yusWbNUcRA6D+EsTF8AqaeR2aBRC1nB3gOf13DScskUuVIY82nRet4rIOTWOUoBbWQlgFk7hXNGgt980ROOxLJ2YjNPYQqZmXAGuiesosIvjcCj3Dxm7PhcXUkPkQj0JsBWJRCKRSCQSiUSNSKCtaEMWUBJtPC0FIpe7B+3QqV4O50ZUK8DjarUUWF3NFz+tyKHdCHM0GPE2lB29HIivinzBYQtgizgJOFFr3U/o86e+cYIePzvLwLGIGIZO5AcT58Dic8Dci3OILwgxAK28Fo6ZjGX5M4BRj1Mjk0yaTeb4i5StnT564/W99NjpWXbIApY+eGScHjo+TbOJLBdZC3qd7LK1gKjJ8wboikJpHo9GAa+bwW3Q46RrByJ8DOZjR1eAnb2YV7TvdWoMnNEGUKphatQX8dP+oQ46OQEom2U3LINT06SRhTT3BQ5jAGe0ByCLImfI0lWc11Fy5gIKoyhdR8DDbmTdMDkLN6ubXDAOkQsYPV+erh5h/CKRSCQSiUQikWhtJdBWtKbOPtHm1VIgcjV78Gr70qEeeKwFBlsdcbIUWF3NGrTL+q12DtUcAR4+cmKKYedbDw2Wr1M5TsDUW3Z2LQnnlwPx0Q6iECA4bNEGYg76wh52w56ZTtK1/SH6yF3XMdBFn3FcrlBkAJnM6ZSaSVLQ66LDY1H6sT97nBYyBdJMomhap/6Il+4+MHAF9H1xZIGdpwxZXU7a0R2ksWiGIxMUoAYAxfiRC62K+rldDoa8cMrjt9/jpGQWLtkihb1u6ot4aCaRo7DPzWMDPBxbSNOOniDt7Anx/NrnFTo9GadETqeiYfUnkdHpp165g9wOByWys5QowVjUGktmdXr4+BSPvTfopWy+yIXVugIeLmAGiA2xeda0IhkAc70uB0NZOHlBjQF8od39Abowk6Kcbs2PcuHif+GQqwnkikQikUgkEolEotZKoK2obZ19q5Fk9LaflnJArmYPttuXDq3cf7XgaasjTpaTS7rcNWjW+jULuq50DtUc5QoGzcRz/Gi/PYO2cpwoBrZcON+IFLjF+VinoU4fffWHY/TiSJTjBc5MJfi4T/zYIb4+wC5gIqArXKsRn4v6wj4ank1RplBkUAlI6dDMK6JI4Ib9j2MTDDINw6SA20E37+ik6wfCXEBN7RfA4r6wd1GxMcxBQTcoXzTLTts+j4v8HhfDUPRna6e/TDpRcMzjdPC8DnX66Z4btpTjGzCv52aSdGkuRQGPi2FwKlukeK7A85wu6HRsPMaQVrlncX1AariEt3UHuH+xbJ4KuklzqRwF3U7y+DWKZeHcNRnslhgt9zHiNzk/GMXLcEkUMANwhslXwVn89jqJHE4HF2vbqNAW6yMSiUQikUgkEonWVgJtRev+SHErJBm9Gw92r2YPttuXDq3cf7XgaavdqkuB1dWsQbPWr1nQdaVzqOYIUQKwpuI6XrdVuK6RceL+w6P6KOw1Hs0wJLymN7iisVTGh7Br1DA45zZjEj15bo7bQ5+PBD18HIDk3v5uBrujC2mGsIgj0IsmxxEAhg5GfBxroOZ4Kp5hEAr4Cidpmgw+BqD01FSyvF/g7p2M58qv79rfz+2cm0kxjEWswcmpJMcaXD8Ypl98wx56Znie5+pHDg3Sg0cmaCaZI7/bSQXDys1V41PzCGcziGp/xEfPX5ijrG5wn4fnknTfI3EG0JVVwAIeB/cXsBfXT+eKlNMNhsaAyW5dY6gNOAs3LYAtLnNxLkVul9MqiObQGNjC2Yv4hUpli0x0aSPr+i3h9e6CSCQSiUQikUi06STQVnRVql0et95oWmvY3SxI3IwvHZrVl0YyQFsBT1vtNl4KOK5mDZr1pVGzoOtK51DNybeOTXJWKjJQq12nmttSxQx889gEQ0Nkw+L8bV1+np+V7CG1p7/07AjHBMBZmi8YzC2zuvVZ5brecV0fPXZ6hvcwIgrgGiYqstP2tt09HHnw0niMgh4XhX0uBrbIcYWzFeAS7ZyajNMNKGJ2oJ/Go9lF17XvH/v9BbB8cSFLXUEHw10AW/ueALTN5IoMdRFZAEhsL+qG6+Hf6Af6nCua7KjFGOAGxjqwe9fGTjEPgNg9IS+dm03ya0B2HI90AxybM01y5nQr4oCoXGQMv4v5ohWbsGH9s42r02+BfZFIJBKJRCKRSLR2EmgruirVbo/LbxStNexuJ0d0s/qC68ClGMsU6PBIlPoqMkBbBU9b7TbeCG78ZkHXlc6hmiP1yH7ldertMZUtC8gIx6rboZFuWEXKkN26kr9hqj3k1Zq2IltbOn10cKiD+1dtXdUY/v3wOH3n5DQjyTv39/O59z16mhZSBf6BUxZwFnEF8+kCOUwip8MqRobc2ntuGKQP33ntouvWAstfePoSTSey1BdC9q1JZ6eTi75IiWcL7Jw1Cia3kczrV8yl3emMY9BfuGM5osDtIJQIw/xCcPbqALIacXYvZ/nmilxEDHAbTl5Ns8BvMm8Q8LJ15mVtbO/s8qSgtUgkEolEIpFIJFo7CbQVXZVqt8fl21HVnKVrDbvbyRHdrL7gOiiShMxNXGdbp7+p+68WPN0IULXVahZ0Xa1qXafeHlPZsoCTyIc1iyb1hL20u9cqtgWnqt1Zqpyr9Zzhqr3b9vTwaxTgwmvsT4DVevc3rvWeW7fzjxJybH0eFOlyc3SA16XRTds66F0v38qRDmenE1zADO2NLmQauocUWJ6OZ2ksmqVoukBup4NiQ4VFkPvcdJKdsgGvi4uFnZxM0O6+IN22q4ezcx88OsHF0qYSWc69hUMZmbaIPAh4nAxu4QyeS+Ypk9fZkeswLKA7Mp9mWAyg60PkgUOjaEZneKtUCWztcmwCgJvIFta7CyKRSCQSiUQi0aaTQFvRVSkBWEurmutvrWF3Ozmim9UXdR3sQVXdXorgrY3a/b6vt8dUtiwwInJRUfDrp2/bSW+/aYjHBWBrv1+fv7jAMQL1nOGqPQDU3rCP3vtKK0d2pff3UIePgWkip5NL06gz4mdHOYAt9MpdPTQZz3J71e6hal8UKbDcE/IwcEXuLByyyPSN+N1lyP30+Tl24KZyOgNn0NZLJSiMOInxhXSpIJhJvSEvvfH6fo49QF4ucnlT+SJ1BjzUE3LTt45N0YnJBLtqnZpJ8axBqbxOfreL+iNeQgfi2fgiaFvLfeoCsS1FKVzNQtyHSCQSiUQikUgkWlsJtBWJNqmquf7WGnq1kyO6WX1ppzFtJNmB3tZOnwXuYtk1L4hXr1+r7Uu9vVHtM9VOtZzkM9NJ6gt7q7p2VZ8RMTAY8bKDF4XBlDsXLLJQNDj+oHKO640XRbgiAQ8XAjMNoojfRd87PUML6QLHLwQ9Dto/1EkHh4K0py/I59qvN5fMsZs26HXSkdEYg+eZRI5GoxmKZfKU100rb9cs0omJOMNYAOAjo1FKZQtU0C1nLH6cTo1CXhd5XU7OuI1ndNJLkHUimqWpeJY++c4brpgTZONenE9RvmDB356whzSzSLF0gf8eziVNzrlFPAL8ufUctlrpZyleW1H7bENqPJpb7y6IRCKRSCQSiUSbTgJtRaJNqnZwubaTM7LVj8aLGnd+P3J8kgnhrt5g07KOVwpfm5m7XG9v1PusWk7yy7Z3stO22v1r7zM+u2VnF1/b7tatNseYExRDe/zsLHUG3HQk4OXCX3DnYt5OTsQZEt+5b4DbPT4ep2imwAXIAIGRHwuH7Htu2VYeyyKH8FiMOgJuOjjUR4+fnaELs0natyXCzla3w0Ehr5McDoeVN2sYXPQMmHY6niOXw0FOB9qw4DHiGTAfr9nby1BXAVsqQdRnhue4bbXOak6OjC7QVDzPJBXXUtfGeOHGTWSL7MzVi+YiGGsHr+rfiGtAsTidLbm1sexGB7ZXyxhEIpFIJBKJRKKNJoG2ItEmlThCRevhNm3E+X1qUhWWal7W8Urh63Kzjlc6V/XOq5aT/JG7rmPXbLX7t1afl5pjVQwNhcuipWGiEBmAKM6DIxaAFZmvgMGAm06Hg3IF3XK/OjR29VZm9ao2R+fTFEvr3B4KmQHIziZznGG7p9/P2bPIoCVTYwDc6Xdz9mxBNxiMIsIADmykIxQNgyI+F/3w0jy7bCvdrADJDxyeYDcvYhJeGo9xbm4sq1swtnRw0SDyuKzCY7pukKZpFPa5aS6VY6gb9rrYWQx4DWeuHc/63Q4uUrZcoFmtqJlIJBKJRCKRSCQSVUqgrUi0SSWOUFGjaqbbtBHnNwpJwU7ZTBf4SgvNLdeRvtK5sp+nogMAG9F+f9hDjxxPUb5o8Nzcub+f81lrXbdWn5eaY1UMDRAS4DaW1mggTOV5Awg1DZP29oX4+HRep3946hJHGKCIF+IauoIe/kxBaLhzAXtxLj47tLWDM2cXUnmOQCjoaXbN7t8SobsPDHA+LgAsnK9TiRwfh8+5CJnbweA0qwMcExc9m0/l2fsKl24iZ6FQHLu9O0DnZhIMdTHu4dkUF2IDpLULY0UWbjaf5X8H3Bo5HChahmJrBs+RYViAGmPAOJWrl2MiVlCgzOXUuNDcRorBlf9YFIlEIpFIJBKJ1l7y3+EikUgkagnwXI6b1O78vuPaXnZUTsSyTXOB1wKZSzljl+tIX85c2dsG3ERWLc5T0QEHt3Zwn3uDbnZ9Ig7AMEz64cUFuudGq0BZNSG7FtAXube7eoIMV+979AwXErv7QD+NR7NXzDGf8/Dpcj4tIhFes7eHbtzWQQ8dn6ZzM0m6NJ9ml699HgIeF52bSXHBL5Wdi88UhMaY0BBg7ztuGuJ2Hj0xRWPRNEcqRHxu6gm5ONsWebco3KeujWuoa0/GsnRiMk5zyTw5HRacnYxlrGJgTgc5NY0hKWAu3L+JbIGmE3lyODQ6Pp6grG4hUhwD0KqV4C5cu5ACqJmCyUB7/2CEXhyNUjxbIAwBTeJYp9NBBmCuaUU0VJNjiTBbzO9GArYQQLZIJBKJRCKRSCRaWwm0FYlEm+YR/I3cn/UUxo/c0MfPzDA4xGPrmJ/lzkc9F2qrnd+14OtSztjl9ms5zlx728ishasTEQPRtDXHCvwOz6XJ63IwIIUD9unhBT5X9atyr+JRfuTdwvl6dDxGR8eitKsvxP2654ZB+vCd117Rl395foRBb6agk2EQ3XVggD72tv38GeILvnVskiMLJmIZBsA4Fp/Xmhs7vIYAm/HeM986Rd89PUMziSy7Xk0zRwXDihjweZyL1kDB3zPTJmfMoh/4AWzFmAGysT7dATe7XzWHRnt6g0hXoOGZFGfVIkYhVwFXFbDF70oBpp6eSjBYLRl3+cCiZhU/42gDwwK4gN61ZI9gqFR+oxFbIioxb5FIJBKJRCKRSLSGEmgrEok2zSP4G7k/6ynAM0C6C7NpLiQFR6QdGq61Y3clqgVfG+nTcgD+cpy59rbx6L1Rih4IeVx0eCxK33ppglwOjaMQhudSDAm7Ah7qCLj4+qpf3zxmFSpD7i32KpyhjeYDq2t89nvn2JnaH/ZSMlfg2AE1Rswb+joZz3LhMYDjJ87OXbEH7PM0l8xRKmfl116aSzGQRj7tU+dmKZrRyQ1qSiYVTZPHGE/n6fmLOS5ItrPbz9fjcUUzPB7sOUQUsHNXc5CXiHb3Bdlhi+JhPX4XjegGA9uugJdmfTnK6VbBMbvAHvFW0OvkqINqYBXxC0qazWnaHfTwuJbS1cg3r8YxiUQikUgkEolE7S6BtiKRqC20HkBvqeJP6wUY11O15gT5qge3RlY1H8vNh11tn5vVp+UA/OU4cyvb3trpu4IhxlE4yyTq8LlpOoHiWCZD02NjMfr5+5+jMeTJwh1rEhcqQ/so3IXrcXaty8mW0FrjU2ND3isg64RhMEQFQK7s6wMlYOt1O8vguNY8pXJF2trpZ+B8cTbFfcS5KPTFILT02wKxDjo3nyoHF3wPBdbmM3RxLsmFy4I+J3mcGvUEPUxR45kCRYIe2toZ4IiFG7f5Od82OBbjvQBIPJfKU6ZQvdwXWsF8Fosm6bAVV5Gd9SJi4ebtnfSjNw3RX373HANkjcuoiUQikUgkEolEIlHrJNBWJBK1hVoF9OqpHoxbj/60g2rNSTPmw+5CHer0MST8z//wPL+H4lr1clob7TNiHOxFvOwAtxrcbcQZ2yqAb297NolM1ww7WV8ai7Gj+c59A+y2Bah9241b6IkzMzQ8m6aZBOIPspTK6uTzuNh9ikgEFNtCjMJQh58GO3ycMfu6vb3go5xjW218amyIUkAfcB0HQ3rPovlCHu6rdvXQk+fnuD9w4uJ4e0xG5Tyh4Bja/M4pokSmSIdHo1yEqzfsKTmLid5wfR995+Q0Q2JEQwCpAk7v2xKhHd0Bejo2T4lsnuMIkjkLTl/TG+AIiXPTSbp9Tw995K7r6LHTM5x/q9y9OoqEITKhRmEwxEdg3moVC1NAFl3a0xekT/9fN9Mzw/M8r7GMToVikTJ5Y9M4UGFwFolEIpFIJBKJRGsrgbYikagttNyCT81QPRi3Hv1pB9WaE3txq2v7Q/x6ubK7UB94cYw+/+RFmonniDSTH++H47IRl2olfD07nSz3Gbm7iHGAK7gSxNcC0ku12SqAb58P5MQC2GIMo/NpdpjanbKjCxkGpXCPAm4CHMLtCZaGqAHN5SC/x8lQ0+VyMJS8ZWdX1bFVizHIFQwKeV0Mb1EcrDfsW1RM7JHjk7Slw0/buvwMl5G5i9/2iIRq84S1AdKFWxbtHBiM8L2EombIR56KZdlNjIEABsOJG/ahuFmSRubT7Nh1cREsjQpFk4uOmQaxwzbgcbLr9TMPn+Z9mdOtuWH2WypK5ijlBONcgGIltIVCYgDa1SyzPK9OjSHt3QcGGdhiLgCDcS5+e1wa5fTN4bi1gLpIJBKJRCKRSCRaSwm0FYmuIrV78ax6/Wt1Iarlwrj16E87rDEclY+cmOIsVABDODUhOBlVcSv8xuuVzI/q/5eeHeFiVGGfm8FZvmg07GCthK+DEW85DgAgEC7VaiC+Ucds5RwrQN1KgG/fi11BDx3a2sFOVeWUvTSfoafPz/G/LdBowUK4aZ0OB71mbw9F/G6GoUuNr1qMgcfp4EJgcLcCcMJdivEDXF6aT9H52RQ7axGN0B3w0Guv7av6RQecunDOwpmZzuv0/MV5Oj2dJK8L8NRBWzr99J5btzO0f+DwBB0fj5JhGAxa4YzFb6zneDRDGWTOkkkOzUEel4P7m8wVOd8XRdnwHs4/OopoCB+DbdM0ypm0YLQOMmlHj58Gwj524s4kcgxpcS3sGbSHMXG+rU24AqDuRDRDL45EGRLjnNt29fAYz04lKYeKZJtETm0zoGmRSCQSiUQikai9JNBWJLqK1I7FsypdfVxQyLu4Svx6wct2c9M2MqZWr7ECgix2PjY3IkD1H65IAEOAOThE+0qP0jeiyr4AXMJVij5ZDtBsVRDfqGO20TluJkCvthft1/qX50cYHOpF03KcOjQuxPWmfQPsYAWwRdYr/g2XKnJdkW0LOFp5Lfv84djZRI729ocYyGMu0T7AJGIanrs4bzlh4S71OLkAGMB45Ryqufj2yWkuHgb4+8VnRmgylmG4ih0V8rn4+qoPC+kc6QbqijmYsMIZu7XLT7PJAgNXZNgiaxe5s2l2AzvIYIirkV4s0oXZFGUKBjuNu4MRdioj47dSDtLolp3d9K6Xb6PP/+ACA+iw10WGWWD3LSIlsA+x1eHqzdtYLGIZTkxYewBfYvzg/BydmUrylwzKYtvpd3E/cSxgNX5D9n9vdGELiEQikUgkEolEorWVQFvRmmo5kKPdXaPtqHYsnrUIgJWyOg8OXenSW9V1Vwgv281N28iYWr3GAJ67+kLl6yMLFcI9eGQ0Ro+fneE8UcBRe55po/ev6j8ci8gxBbgFMESmbaPQvBK+4nw1T6pdBT/hkgW4RLso9HXX/n6aiFXPd13uHDcToC+1Fx89Mc2PqCM6AK7QLR0++tLP386OZ/QBwFK5ZtlNqmlcQAufVfZLzR+ALTKAUSBsMpGlroCX4TeA7f1PXaTpeIbXGm5UxBYUdJM0r0av2dtbzqtVc6jmQhUPQ65uvhRXADc12nBqDl4r1YevpwsMnwFy4crlyALd4B8IEBefB7xu3itZ3aBOr5tBKK4HsBt0OymjF+n4RJyCJfetbhQvf+9AVp4vQO2pqSQdGLLgLuA21i3gdjEUDnoclNONMmRVqQl+Fxy5RZqIZumVu7roKOZLBzq+rGRW52gPQze4T2XViF7YiLpKhiESiUQikUgkEm0oCbQVramWAzna0TXa7qrlJFxPAG4HYPasTtW/lfatHQH1atXImOxrDEiHR9aRh9qsda21h3BtZNoOzyTZ7fj4mVn61DdO0Mfetr9qm0sVNIMbsz/ip3tuGFz2fV3PIV0JP+FQhbsSzkhEAPzsq6+hD9957YrmYL33IKDnQMRD8YxOh4Y6qDPgqVr8C0XY3K7a/VLz9a1jk3z/wbl7fiZFnf48nZuJ0JmpBGcN4304reEwBQzFv193bW/VNbf343AmShfmknxed1BjyJwuFGl33+UsZPTh6fPz9OiJKYazgKzI1UVuL9yvu3qDtKcvxNzztdf20j8+c4n7CCHiFu5sjTQK+Zzc17DXzUXJHj05RelcsQwZcT6uh3xcuLsnok52JcO1zHm5Lo0SKYMcDgdhSMiq9Tk1LpKW0Q1KlyIU5lI5OjoeoyLc5xUQE2kMegk023U1pSdwrLBIJBKJRCKRSCRaUwm0Fa2plgM5rkYo12rVgll2gAZnHeAbwM5aANxaWZ2qfyuF860qDrWeqpUnW2uNAWxRDArOwWZ9sVFrD2GPYM90BtzcHpyOT5ydW1SIqpH7txmRFMtxSMOhOpPMcXEt/Mbrd9+yve45jRZdW8s9+KZ9/XRpIU3zyRyBBQLYArjW6kO9fmH+MO/fPDZJed1klytcuXC4IsIEebKJnOWCVQW5eoJezs2tBelVP+A4RdTF9q4Aw9YHj07QeDTO+waZtouzkFHUy6B8Hg5bOHGJugNuSuWLpJeIJ+Do4ZEozaXyVDAMWkgXKOBx0FCnn+MggGUjfhdD3hu2dtCe/iB96ZkROj2ZsObJ72L4DFcxwK5h5mlbd4B2lr5EQoREJq9b8Q1eF20JeSnocXKWLRy1uIbl3jX4CwvM51XEYhvWZhyzSCQSiUQikUi03hJoK1pTLQdyXI1QrtWqhFmAOng0HEWfANlu29NDT52bowuzaTq4NbImDualsjpXCufbLY+2lXmytdYYDlsA1GZ+sVEPiOKefKAEbFG8qSPgqtlmrft3KeDaEle4WZpI04KQS7U7FcvQ4dEYg7oXRnR65PgUF89ayz1YOQ9vPjBAR8di9MTZWY4TmEpk+fN6fajXL5wLtzMcp6Zpsou3P+LlaAUdrx0aw064Ul9xTQ+97YbBumthB90v29FFH7nrOqt4XSzLEBQ5tPFsvrxf0P5Tw/PsbLUcvVZ7gLP4N+DsDy/NUzZvMFTGXYEvMuCWLehwHWsMVTXNoIjfw87ih09Ms3P7/379HvrcY+e4MBncu0UUOnMg/kDnfswl8xzvgbawN5VrNprROdsWES6IYlDv4xow0hrF1cNLOFYFgIpEIpFIJBKJRKJGJNBWtKZaDuS4GqHcWste9GkEBXrOzXERIUAJBfpQUV1lfrbCebsUpFspnG+3PNpGtBSQrJUn2y5fbKiIBDhsAWyRgVqrzZXev82ORYFDFXASTs6+iJfeuK9/yXafPDfLrtOBiI8fvf/Oyemq0LbeHlwtfK7mjgcQxb2LPGCMCXNbqw9LFU47ORHn/Fvo/HSS3ap7+sIMa+GSBRSFi3tbl5/+17tvYGdvPTGgjee4mBl+4/XZ6STHCcA5ix/k0qo4D7QPIIw4BLht0S5iDPCDf7sd8NBqFtQt1fxymib/Ru5sMl9kV288kyeNTL4e4K5mmnTtIMbhYFibVTm1RaMc99Ad9NJ8Os9rXJnVmiuaNJ/Mc+SBEiArgG0zJMBWJBKJRCKRSCQSNSqBtqI11XJA20aBcu1cMM1e9IlojrwuJ71mawfDQQX6ouk8PXg0sW7ZwZsJzi8FJJcLYdd67rCv8Xi8vdBXrTZXev/andd4pB2P8ANW4lF4OExRyGo599jbbxrix9uX6q+93WeG5xgWsjQLFC5Xq4XP9v48fmaG3fEdfpf15QvNUW/It2xIb+/T6EKard07uq1rbOv001sPDVpFyJ68QNOJLEcHDM+k6Gf+5mm6YWsn9YQ8Nee/mmMeXxChSBeE63rdjnKcB9q3Yh7cNB233L5w2HpdGhmkUYZjCOBwNTmeAb/hkvY6rWxd5faG23Y8luPcWejYeIzzc89MJyyXrW3xCqU1Rd4uoDSua+hXrm+19UZ0Q9DrpHi2SfR2g6mWQ10kEolEIpFIJBK1TgJtRaJVqp0LptmLPgHy4NFhlSOrIBaAWLMfsV+ONgqcb4aWioJYLoRdj7lbTpv4QuPfD4/Tt09O8+s79/fTPTcO1QWudnB9aS7FYBFRACPzGdre5adTU0k+rtlf/tjbRX6ruwQHkc+Kfi9Xq83ktvdHueNv293Dbnl8+YJ7GZEES7nksQYPHhnnLF84XwEeX72nlx2tcL5ePxCmuw8MlM/F8VgvOGIBLwFFT00luA3k+2L+EamA+bG3a+8vAPuzF+a5PVwv7HMxnI14XRT0unhOVPuAwBjft16a5DaBB4tFg3ojPuoOejheAbB3Pl2gsNdJ3SEvdfhcNBXPs9sb1wCMBVQFnIezF7EIboeD0mZ1X2u+SOTQriwopuRyalS0W21L0SVwBieyl4ucbSZtxjGLRCKRSCQSiUTrLYG2ItEq1c4F02rlydohFqDP6ankVZcd3I4O6KWctKt93L7yGEA9PKa+XnOAvtz/1EWOGIBjFe5KwL56EFXtWQC/i7Mpdk2mcyYXxQKUgzsS7ttmj8l+r6AAHCAd4ilW6mBebXSFvT/IX4U7HjCyN2x9+YI5xL1b7Qsj+z6Yjmfpu6enKZoukGEQOR3ERcfUlziVx6PfiJQAqE1kdZ5vgFQ4YTH/aOvh41NcrCxfNMjjdDDEBYxX/QWwPVGKK0jnDY5ncTud5HU5KJLTeU4QVaDah6ZiWXpqeI7X2eU06cBQB/3xvTdzv7AXAHYR0bCnL1je16oY3/OXFriAmmlqlM4VKJO3nLv1BNMtIhiUE9fj1ChfeuF2aOT3OyidLyJVgV28IZ+b1zHocVAaLuBNRjHDHqTxikQikUgkEolEorWUQFuRaJVq54JpjbgMr9Z4gnZ0QK9mrhsZT+UxyEFFvuh6zQEgILJkkZcKyAXAhqJ4UC3YqvYsgOR3T01TIlugTK7Ij9LjEXvlvkXhqWaOqdmu5ZWsdS0wr963XwvvAV5fnEvSNT0hhqv2Il9qH6DwYDSTZ7gKEI2sV+XUVX2q3Dd3H+in1+7tpW8dm6SMXmSbpVmaf/yNA2CdSeYo4nPzb7h4333L9vL8ve//fYrhPH5MMtjZ6nKYXOQLObq9Ie8Vc4JCa+PxLI8ri8JjplkutPaOmy/vE8S5fObh0/yEAJy/v/iGPVycDX0ASL40X6RUTi/HWwBSA7xWU9DjIofDKkAGh67P5aCeoIedtgDbEZ/JEQwAxcj+HoumuTDaZsylfdP+gfXugkgkEolEIpFItOkk0FYkWqU2OvRsp3iCZrpj29EBvZq5bmQ8lccAbKEw1HrNAdbQ43Ky0xaOWYA4uC4BCKFqLk+15ni9oydIQ51+Oj+bpIDbRa+9to/OTCUYqK1VIb212sc451PfOMEAEtm9R4Ke8hxV2zcYM5zLcKAeHolykTXEHFTL54WsWlwmhbwOuvcVlwFr5fGqAB6yi2/c1sEwFBEEPYglCLgZiJ6bTjCADXvdRCbKhS0eM9yyiZxOqVKeLZViFiC4ZfF3EscpKIvxqexhgGjEuQDK2/eJ0h9+8xT925FxMkyTXri0wF9MHBqKcFYu5gNjRD8xL7DRhrwu7qty0Sp1+50cq5DKFvkLBawOXLRbO310fCLOBczQ5aDHyREO2LebFdhCK0t2FolEIpFIJBKJRKuRQFuR6Cp7BH8jq5nu2HZ2QLdqPJXHwIkIp+16zQHuB7gzv3Nymk5PJynkc3FRPEA5BZCRt/r5H1xY9Kg9XJtqLLifdvWGF0UCPHB4gh4/O8OP/C+k8nwcslrbxVG9kn2Mcx4/O8sFthQeqwfZ7VAb64tCYuoLo8p8XhTdgpMU8PXN+/vLx6m/Xycn4mXgidgC7BPMO9YBP0oqjgEZtdOJHCVyBeqL+OiN+/oXjdnp0Kg74KZcXqeCYQFj/KRzOoPWfz8yzhm3L/jcDF0BhNXfT4wLx16aT9P4QpqmYhmOQwDshZ65MMd7Cm5YFBpDwbGz0wnKlwqK4ceRtTJokeyASAbk9p6eSlAso/PnPQEX9xtw2ip+RtQV8HCfzs2mOdJBrUEqX6Rvn5jiXF24dhExsRn13ZMz690FkUgkEolEIpFo00mgrUh0lT2Cv5HVTHdsqx3Qaw3sGxlP5TH27M/1cIFjPt5z63b+UcAPwNYOkOHkrPaofa3x4jdA34XZJGe9Iue1K+img0N9beOoXsk+xjmAhtE0MbiNEdWF7HaovbMnRG89dHn/2efujmt7CfGuE7HF+bxYD+VqRWQBKCegrj02oda4UMgMbmfELMC1i+M/99j5RWM+ONTB9wiKHAIGow9wxyLrFu8jLzfgznGBuYNbI3RkNEZPn5+nlyZiDJEBj3HOfDpGb/3j79ENQ53svoVrFtEHgPwAqwDEgLf4t8tB7I4FV0XUQdjroq1dAXYuIxYCn8NwG8vqpGk5nsPJeJbiGZ2SOZ36w14KeZ00n1pceAsu3aJRpIraZJtKyVxxvbsgEolEIpFIJBJtOgm0FbVcV7MbtR0fwd/IaqY7ttWxD2sN7BsZT7Vj2uVLhLrQ2dTKv7Ulxov34cw8uLWD77vHz8xQLK2ves808+/USvYxznnB56H5VJ7dnbv7QgzdlzufGAfcy4Df0JYOH0cPqLHYYxhSnB2r0VCHn3b1BmlvX2jRnFfOyVCHj8cF0ItCZnft72dn9Ee//CI7defTeToxESOf20U/cctWjih47uIC+1+DXheDWL0AYEq0kMrRrIn1dBBCB4yiSUdGi+x8xXGAq9gLALeT8TzNJabJ5XKwyxafoSwWGCrOUw5bAFv8DngcNBDxc/7t6ck4nXcgF1jnbFsAXcQhLKQLHN2BSAaMAfOAPr7txkH6zENnKGeLU4BjF9m3ZOOWeK8iceGq1iY1GItEIpFIJBKJROsqgbailutqdqNuxEfw2xWio1+AJ4Ahum4wEGrnfGAB9stTLQj7pn39DAFRsAy5rHjUfql9itzRR45P0qnJOLmcDnrVrm4a7PAtKtKlzsWxAH/jsWzd/b7av1P2NgE3UcwLj98PdfoYNN736Jm67SsHMQqtwXE7tpDhglvIlrUfXzkv7799J7up4XTFa9xDiJuAaxkQHHMLMKnGYo9hgAMWWbMX5pLs1lV/v1Qb7MRdsGIYVIEyOHEVKLa3BQcs/gZ2B90MQ3Eu5tzvBhRFlq2L5pN5Bp0+p4MypsHwFDmxl+bS5NA0zsL1eyyQmim5Z5UKJpGOrAXEHwDMep3lrFp1HCAvroEoBeQnw80LjJsxrsyiLZbcx4g8UAJgPjeDHGiPVQCvAEevaTlsK4ymmwnYikQikUgkWjtd8+sPrncXRCJRG0mgrajluprh1kYsQrYWEH0lYBjHP3R8mvsF+ANwsxyYvNYweiMC+3aUKkBVeQ9V7lOATxyH9R2Ppmk+laOsblLA7aAbtkXo3lfuLF9TRTHgXMBdWDvhJK23389OJ2k2keVH8Au6QScnE0S2AmdwvT56YqrsYAVstjtYK/sLuPnhO69d1Be8D9Dpdjqu2KfKQcwRCZkCQ9Unzs7xde39rWwHoBe5xeo1vvRAdADiJiDAcBRr+8pzI/Ttk9OcAVs0MJdOhqaay6Q9vSF6y6HLsQiqjYtzSXbLIjcX/QOExpiUAKLRVsjrZkCK+IOA10VuTaMTEwkKMIB1Ur5g0FyywPELetGkbAmuup0au18dbKm1YghyKCCGwmCa5Yi1s1EVgYDDMwWrgBhel1guud0OcmtEhUKR5hJ5jlFw1nGJKncuuK2Cv3PJPPe7I+ChDj/RyEJWSnCVgLhIJBKJRCKRSCRaWwm0FbVcVzPcavUj+BsVoq8EDK+2X2vt6N6IwH4j3UOV+wHFzOB4xHtPnZujnF6kgYiP4tkCPXZ6dhG0tZ8LNy601L4CnETxK85L1Q2ODjg9lSwXOAMcRRGtWg7WavsXXyTAcQr4ifcBawF9ATpRQO2BTIGvq9y0+Fv59XSBYwYgHA/gWm9ezkzDGeotv4ZLHQXdVD/hXkZMwHdOTdNMPEcZjgkwqSfo4eJkAxGAYg9Da6LJcjEwtLG9K0iT0Tl67sI8DXUF6HV7exf1BS7mVK5IE7EMw1eAvRkUKHMVOEcWubeGWeQPAIpV7EGR+0iU000Gr+ivCeetja7Csdsd9PA8Agbj+irDFvMOqI3r27FuoWBQrgRg0RZUL4lVnV0JddEG4DLWCQXI4NSGI3kzKwgaLhKJRCKRSCQSidZUAm1FLdfVBrfaNV6gnSD6SgDsavu11o7udgP2G31fLrUf4LxU6/vM8BxDNZZpFdCCo1WNHTBRnQsgCKftUvsq4ndTyOeiaLpAXpdGU/EsZ5yqAmeAo5UOVvseq7Z/sR6Au8jcPZyJUl/IS9u6Agxsq7lpsWZfeX6Ui2OhDyiOBeBab16u7Q+x0xaP9QM6b4n46IatnTSXypFT0zhu4uJ8mvsb8bso5HNSKqezAxbjjWd1+tqLY1yEa09/eFEbs6kcA024j9GPh49PMTBVewswEzEE+A15XBq/73VqlMwWONLA49BosMNL52czi8aRLxK5kBWrAZwCsi6Gp8j1jfiJdvUFGaKjqNhcKk9+j4tevaeHkrkCPXhkksGvkvoX9gaWnZ26pTe5CFmpgWr41VF6H9sKc4LzOoNujm1ArMNml89r7XuRSCQSiUQikUi0dhJoK2q52g1ubfaM3rWA6CsBsMvtFyASMj8B0wCu9g2G6aVx46p0dLd6X7YK+K7mupX7AbECiM/A+vYEvexCRUErOEl7Qp5FY0cesspevePaXgZwyC+tt6+whwDogh4ned2IDjAXFTjD5y9cKixysNr3WLX9i5zZHd0o4OXn3NjtXQGGqJ/93jkGtminI+Aqw1/MzU3bO9nli/FhzHCs1psXxDYg0/ZbxyaZUMJ9enQ8Rts6/eXIA6zB90472WlLmlmGx1OJLI1Fs9ZYMwVaSOf4uh+6Yze38aVnR2hPb5B006TzM0l6eniOTk8n2B38kbuu47gFrDGAasEwLQCLLNlckeMSMO/oP+avmhAFgUiI2WSOYsUCQ1YlgFrAbZdTo62dfv6595U7GBqjz3v7g/Ts8DxNJ3NU0C0HrxJaMxF74LBAv6MUx4C5SeasHFzlGwXMBTwGRC6fbxKl8zqvA47b3B5bS5qERIhEIpFIJBKJRGsugbaiDa/lgKFmwKmNntG7FhB9JWB4uf0CsP3G0Ql+nP3wSJRetqOTfvzmrUvCuatVq9mXrfoiotZ1G7kPK/cDzgHIrAZi8Wh/Ml8sjx3vAzza28Dreve6KgT2xNlZBo0dATdD1t6QBWftmbYAeYCv9j1Wbf+qLy8wfhT6UhD16FiMHbYAtl2By/AXY4xnChRLF9gVm9dNHhtcxJVzZFa0i3G6ODbAYDgLZy3mXo0NEBQREzjvzv1Wsbe/+O45/q1pFpIDpEZf7GP568eHaXg2xefDDevQ8jxHEIqUIYYAjmAA9KDHRT6Xg2GrcrnCtZrMXQn8MIe4dxFvod7QbBm2OBfQFLA1qxc5GgM5w3AVIwv3yGiUolmdHKWQA3tQgpvN1RoDXwD9mXie4zRUxALXHitl5vK8V8lQsHNm5cLdzEJhNpFIJBKJRCKRSLS2Emgr2vBaDnBqBpy6mjN6NxIYhsMW0AeCU/D4eIL+r1sdiwolbSatZl8244uIShALyFmZ54p8VgBIvA/gt6OndnGwamC31p7CNU9NJa+IJljOvY49i2xZnGf/ssEOSt99y3b+Wc4cQJXXq9YOhPfgIgUwHp1PsxMX7lAFX9H/WuNS64/5Bv3EnCOPFW2gzffcup1/VD///fA4O2QB48I+D78X8joZzuLfOAf9/9snhvkcuJA1h4VHAbVx/2H9cAeenkrw+m7v9nN/UbBMAVHcoz5YWSucmp1+J71qdy+7cwFlj4xEKZbR+Xgc7fc4OXMX8PWanhCPReX3AkwjsgCgGD+As1YBtssOWlwHkReZXLGcR1sGwrYXjUTVbnZgC6loCZFIJBKJRCKRSLR2Emgr2vBaDnBqBpy62jJ6N2qmKh5Xh8MWwBZAyf6Y+WbUavZlM76IqISJcK1W5rmi+NWDRxMMFvE4/lCnn2EfHu2v3DfLga61ogmWe6/bv2xY7n7G8Z/6xomyU/dI0FOzz6od1Qb6ijbgqkXhM+TofuulCT52T19oUf9xzGwiyzmzBd0oFypTc4C5HFlIk8vpqLmWaPPhE9O0rTvAQBLgFJAVr7/50iQ7gRFbMJeEY9e6v7iwl2FSyONiqIzIB7hd4Wr2u510y84uzumFS9huewVMhVsZDlmAVLSFj71uFx0YitBQh48zdTMFgzNxtSIcuw4K+9wMsHWN6Ph4jPYOhPiex3vHx6NUMKyCa7j/kWFrcjSD1ayKSphdoyzazeDE9SJHQiQSiUQikUgkEq2pBNqKNryWA5yaAadWA3auZq111i8yNfHY9rGxOANbuPE2s+u5mru50f3ZCPBd6lqVX4iwE7MizxXOR4A9rBWAOxcKczmZtuHRfvu+Wc4XLPWiCerd6/XGtNz9jOO/f2aWFtJ5LpjVmc6XgWq9c+xt9AbdvKdPTcYpndMpEvBc0X/A7pGFDHmcGjtLVaEyNQcqw7beWtrn1unQaCaRY9A8Mp/mgmYoYPbqvb10ZirBcBRSrlbkxGItkSF9ZCzGUQV53YLJAK/bunwMcVO5IjmdGscb4NpwzI5HM5why9EFDo3beuTEFE1G03wdgGG/C1nFDoa8AMlAhSjMdk1vkO95xKIcGyXyuZx8PKAyxoAsXfwGxK0Wvwp4bM+9Xe7ntc7BnKA9ex7v1Sg4qEUikUgkEolEItHaSqwTog0vQAkUHdrbF+Lf9RyGyzm2ESnoAviA33i9WgEk4XHv+x49w7/xeiPIDoLwu9Wu186Ahz73M7fS/3zHAXrXy7bxeqJw00abt1aq0f2pgB+iJfC7Gthd6lqAnoCL9sJdgGpeW54r3sNneJwdhbx294a4YBYes6/cN5XXWy6Qr3evq3vso19+kf76++f58f7KMS13P+N4k8xyvMBULEsvXFqoux8r25iDMxTQkYiB7U1bO6/oP8A3YgjgisXvkNe16O8FtNRa2ucWcBUA9QdnZ+ml8Ril80XOkh2LZhi2xjM65YsGQ7ug18Uu2SfPzXFsAiDpO24comsHQgwtt3f56fY9vezShdMX+bYKNB/a2kFbOv2c4YtiYsjuPToapelElhwOB78HaJotGpyRC/cshL2CzzCvKLiGLwO2dProVbu7ye9xMOzHHAQ9LnLXAIt4F25hdAegldMabEIv4VwOeayE3EaFLiJeAXm7V7uS1YJ/N4Eee+wx+tEf/VEaGhriLxu+9rWvLfocXxZ8/OMfpy1btpDf76c3v/nNdObMmUXHzM/P00/91E9RJBKhzs5O+uAHP0jJZHLRMUeOHKHXve515PP5aPv27fQHf/AHV/Tln//5n2nfvn18zA033EDf+MY3WjRqkUgkEolEIlG7SJy2ok2Vn9rsrNVWFCVba8dqs7QeWb/29QSwWmnRq6tVzdyfS12r0q2LPFRAtmqOT7x394GBsiv0gcMT9PjZGYqmC9Tpd/OaVXP/LrWWja61usfsMQ04zj4mnI/H/x8/M8PHqH7V2js4HvK6UNTLwSB0bCFDXcFkzfu48p4BBN3VFyrP8WCHjwuoPXhknAEz1BVwU1fAwwAV5wBwNvL3Qs0NoOd8MkdG0aCLsQybUuGm1UuOWuTaIgMWrtibt3fSQF6n83AMmyYD3lRO58+RHgs3bDSVt/rdG2S4OrqQYffp1k4f9Ue8dGoyQZlCkeFWf9jDcwIgm9UNSs+ny25aO/i0J+DmdLRk8rUxThQUQ0QCICzmAH0CaMYXNux6XXS2Jbh4EcUAB/CxsRh/ivPM0nrhywWwcmDJTcBfV6SrPf6hllKpFN100030n/7Tf6J3vetdV3wOuHrffffR5z//edq1axf99m//Nr3lLW+h48ePM1yFAGwnJibo4YcfpkKhQB/4wAfo53/+5+mLX/wifx6Px+nuu+9m4PvZz36Wjh49yu0B8OI46Ac/+AG9973vpU996lP09re/nc/98R//cfrhD39Ihw4dWuNZEYlEIpFIJBKtlQTaikRtBipbAYLXQuud9Vtr3jYqBF+NFKA7ORHngl9Fw2QwVWt/NgI7l9rr1b4QqTbPle+hLeTfXphNMhiFwxN9wXGVx1YD8wr8ou/IYMX5gHn11vryXrkc0wA3sH1Ml/uV5gxXgELVr2pSx6tM2wUA6IC77n1cec8APD50fPqKgmqf/8EFmkrkKFcospu0J+xlp/n1A2EKeJwN/b1A4bH7n7rIebjJXJG6A25KMygGqdSoO+ChiXiW2wUQRdbsO24aomOjUX4Pzlg4cF0OB/WHfQw3EauA4mG7+gLkdDhoa6ef82vVOi6k8lZsQNGkw6NR3odwzOItOF7xGf9U9LUSnMJRC/CL9m/d0cXveV1O2j8YoS5/hvuNtqzY3cVnw137zpdtpU/82CHe54hXODER53XPFU0qFk3ugypWJqquzRqO8CM/8iP8U034IuKP//iP6bd+67fox37sx/i9+++/nwYGBtiRe++999KJEyfom9/8Jj377LN066238jF/+qd/Sm9729vof//v/80O3i984QuUz+fpb//2b8nj8dDBgwfpxRdfpD/6oz8qQ9s/+ZM/obe+9a30K7/yK/z6d3/3dxkC/9mf/RmDXpFIJBKJRCLR1SmBtiJRm4HK9XCsNkPNdjE3a942KgRfjRSohsMQ9kPDMOvGgVSCbcBDFAizQ9xWQXnsGzxOf3Brx5JrVG0t7X2HixLA8OBQR93rqL3iLsU0IKLhrYcWz8/lfkWW7JeC3oC1r9nby7/hzgW4rHcfV94zuA7mvbKgGscTwI1qmHwMYGvQ42Kn62DE21CMxLdPTtNMPMfXAjiNZ3UGvnCfJvM6FQw4Uh3smu0Oeuh9r9rBfQOIhpMVx6J9zFkiqxNpJhen2tbtp9t29dBTw3N0ZrrIBcl+4tZt9JffPccuW8BhFFMbi2Uoky/yj140GLCCr+J62J/18mQBhhFhkSsY7NTtDXtp30CE84NNTePiZohYcJDJzly7AKAhzCPcv8ji/e6pac4DhjZDtEEzJHXIrtTw8DBNTk6yQ1apo6ODXvWqV9GTTz7J0Ba/4ZhVwBbC8divTz/9NL3zne/kY+644w4Gtkpw6/7+7/8+LSwsUFdXFx/z0Y9+dFH7OKYyrkEkEolEIpFIdHVJoK1I1Gagcr0dq9W0ESIGas3bRoXgq1FloSnkotodqZVrWAlDHz0xzRCt0p3cKijf6BpVOw4FsOAeRSYp4B8KnVW7jn0PA97dtb+fJmLZckxDrezXev1S1/zmsUl2NCObF45mgMt6BcFq3U+1CqohamE+nedYAThjfaWcV6wPHLdor5G/FyYZ7CwFlM8WiPdGX9hLXreTZpM5dgbfMNRBHreTZhJWgTMAaGTVoj1EE3T4PexqTeWLNBDxktvpZGB7aS7N2bJ/8ugZdtyiwFx/2MtF06LZAm3rCtJ0PEO5osGgGNdSNcPgIK4HbeGEZdhrmBwHgfl47MwMXydbuo7f7eDibNPJQsWgTYa0t+3ppYdemuA1hwt6KVZ7ZcjC5pZDJuMKAdhCcNbahdfqM/zu7+9f9LnL5aLu7u5FxyBaofIa6jNAW/yu10415XI5/lFCDINIJBKJRCKRaGNJoK1I1GZab8dqNW2EiIFa89aOELzVqgYb663hFdmqGi3LnbxaqN/oGlU77vmLJxgMAtjhEff9WyIMqSuvY2XnjjNwhAsWjtiPvW1/3X7W6xfG/KlvnKDHz85SOq8zWLRn46r9qOYGTk81N7XWoto84ueZ4Xm6tJDhZFGsjYoZwFoBqEKKqeEaiEKAsxa6c38/3XPjEP8+NhalhFFkhyycsz0hD8cMhH0OjhWAc/XoWJzdx2+8vo/jKOCWnUnmylB5qMMCsug7IhOKhkHTcQsMKQB7bDzGGbe37ekhOjdHbgcKiRVpMp5lJyxg6/ZuHx0cCtOpySTFsgVK53Rem3yNlAIAa81BNBjx0WwS0Fin3qDH+nKhVMRsPmWBZiWfy3Laooga9vKzw3PsMK5IUKgKbDv8LobERtFk0AzD7mZOUMgLtN1wQv7tJz7xifXuhkgkEolEIpFoFRJoKxJtcIfpWmitIgZWOt/1zmtHCN6suah1TDXYCGhYaw0rjwcQfPjE4mzVVkL9Rteo2nEROEG7/fxoPxykKJ714TuvveJczBGgIJy4AItPnJ2rm1G71PzjM+TXsku0BFGrZeNWm5vl5i/3R3x0x7V9HCuAomABr5Nee20f7emDs9dYdA7iDPAzMp/iYl/o4wuXovTLb7meHdTnZ5Pc7nQiS/FMkQY6fBwrAUh507ZO7g/iIgA2cd3pZI4LxAW9gMRFdtUiggJA9gfzaRqfTzPUBAwFDAcMxlrMJ/P01Lm5cqE3FChDHi65kJlrkguu2ESenE6N2+oKemhbV4BhbCav03g0x/OqOCn/NojOzaQYDgOsAt4CpsINjItURh0ApCNKodPv4XHhenDpAgDXE+IWQiC+JlEiU6BskcjcxMAWEmZ7pQYHrb+bU1NTtGXLlvL7eH3zzTeXj5metr5AUdJ1nebn58vn4zfOsUu9XuoY9Xk1fexjH1sUqQCn7fbt21c8XpFIJBKJRCLR2kugrUi0jg7TtYDCzWij1REDix4zj2ZoR7fVXqPzvRGcwMtdh0bGVOuYWo/ZL7WGCsy8+cAAPw7fqDu5Uahfbw5Wuk+v7Q/R6akkt49xYe/AIVp5Hfz7gRKwRRxAR8BV98uHpeYf1wcsNEsFiTSXk3b3huhN+/oZpN736Blu88x08oq5WW7+Mo4/MhotFfYyGa7+4hv28LjQjv0ctDeXynHhrkKRKK/r7DAGzEZuL8bkZZeszgXWcB6iHWLpAm3vdjJ0xhjg1L04l2S3adgLZ62LZlOIaChyrizyepF1CwctipABkCIn1l00yOV0cBvIog37XFz4q6AbhBJkiLAIet00EPbRbMoCwgDIyKsFgAfwRRG03rCPAXWS83PJKhhm26Nc3wyNasQQG3D1Smn0huv66frBEP3L82N8DuYKgB3ctlYEAt5j97BpZe1yMTWRqEKINAA0ffTRR8uQFmAUWbW/+Iu/yK9vv/12ikaj9Pzzz9Mtt9zC7337298mwzA4+1Yd85u/+ZtUKBTI7Xbzeygydv3113M0gjoG7fy3//bfyu3jGLxfS16vl39EIpFIJBKJRBtXAm1FIpsqwRHyMlvpMF0L2NiMNlYaMdAoiFN9BCSKpXV+BBv9bXS+N0KxseWuQyNjWs64663havdIo1C/Xjsr7UPluCqdp+o6d1zXR195fpSOjsU4/zbi89T98mGpuWWQGrQKB8WIynELleOoViiskfzlVE7nnFlAWUBMxAJcmE0zaB2LZssu4cq5B8Q+O51gYAvWiPpRgJTfOTlNn/5JCyzBrQoAfGk+TQ8cHuMDt3cHeKzKvcsgN1PgLFlAy1TesIC3y4qhQLas5TA2yeM2yQUCqlmO2YGIj121gx0+hrHDsymGyACgiHcA0O0NeejsTJKviesjxgCxCThuZCFNWzr8FPG7uO/IxkVfKwmrx+2gsNdFGmk89kohsxd/w4dnk3RuNsWgDH3XlnCPwvmLbGJhtaJkMklnz55dVHzsxRdf5EzaHTt2MET95Cc/Sddeey1D3N/+7d+moaEh+vEf/3E+fv/+/fTWt76VPvShD9FnP/tZBrP/5b/8Fy5ShuOg973vfRxj8MEPfpB+7dd+jY4dO0Z/8id/Qp/5zGfK7f7X//pf6fWvfz19+tOfpnvuuYe+9KUv0XPPPUef+9zn1mFWRCKRSCQSiURrJYG2IpFNjQCXZmotYGMz2lhpxECjIM7ex8OZKF2YS17xmHk9tXuxMcBruIgBpa/pCZHbqS25Do2MaTnjrreGq90jjUL9eu2stA+V46p0nqrrPHZ6ht3DmLOJaJYWUrlSQa7iioqQVRszrlM5jmqFwurlL6NPDx+fojNTCToyEqWtXX7qCXnJ43TQwa2RK8ZV2Q/AacQo/PPzoxwDgL2GDFvLZWpFZyCLF2AUYBhxBHC9wi0bTefpwpxGJyfitLUrwLEGKo4BjldAZE0DIkXxLwtpIp4ALloAUjiYAWx7Q4DMXpqM53jP432A8mgqT5rDQRqZXBAMwBXXRQEz5OPGMnmGzUMdXo4o2D8QoYHrfDyHf/P9c5SsCLwdDPtod3+QwfB88nLBJaVMwWCHMmIiMAGIZFC5tPUKjeF9zg4WarvpBTD6xje+sfxaxQ387M/+LP393/89/eqv/iqlUin6+Z//eXbUvva1r6VvfvOb5PP5yud84QtfYFB75513ksPhoHe/+9103333lT/v6Oighx56iH7pl36J3bi9vb308Y9/nK+p9OpXv5q++MUv0m/91m/Rb/zGbzAk/trXvkaHDh1as7kQiUQikUgkEq29BNqKRDZVAhc8/txoZfaVaC1g43oCzUZBnOojHo3uC3lpe1eA3nLIKsLUiNq92BjgtXIuHh6JcqGnuw8srgRe6Uze2umju/b3M9yqNaZmjbvWHmnUKd0o1K+3F+t9tpzohHrRA0GvizNNURArqxfpoePTvOdWUsCu1pixbo8cn6RTk3EGrbfv7ub3G+F/uCb6Mx7N0BxHEZhE0Sy7UOG0tX+BtKXDR//y/Ajn1EKINFDz8ts/epCx5KMnprh4F6AvCpHZs3gBWhF9gCJecMRGM3k6fixGXUE3g1Q4XgFokVH7n157Dffr8z+4wI5XE9i2FBuAfsB1i2MPbIlwDMP1g2GGxwDl3zo2yYB4PJYtAVODxqI5SmR12tkTJMM0uA8BXCerU1/Ixfc+gC8Kyql84oePT9DxiWR5rgBdIwEXve3QFobcAMPOvOXmtQtzpVAv4huU6q0HdlYQkQvZorhtN7ne8IY3lL+gqCbs+9/5nd/hn1qCKxfAtZ5uvPFG+v73v1/3mJ/4iZ/gH5FIJBKJRCLR5pFAW5GoDvDZ2x9qaTbqWsDG9QKaAG1zyRy9NBaj0fk0PzZdCxjb+wiYudzc3XYvNgZguKMnyM5FVeip2jpUOpPvuWGwalGtZo+71h5pdnxHvb3YrPiGpaIHLs6liEyNHc94TL/WFwkrnVvmO7CfQppGR0djNJsqVO17NRiNf+eLBrtQATZRlAuw/72v3LEoZxiOXEDUGThMTY2zoPG5yjT+7R89QK/a3X3FPKgsXvDLfDrPLlVECKRzOsNNRBLgvgXgDHqcHE+AMQAEA9x+4elLNB3PksOh0VwiR7phMAgHvDo+EWfH7ftv38nAGEAZEQo3bO2k2dQ0+T0OLmI2ny7wdZGLizHGTKKDQxGK+NwUzxboOydnGKpn80X6ynMj3MZs4rKTFrPrcWmUzhV5zGgTruFq2bMrqR/WGXBRwOviucnVsdvWc+uKRCKRSCQSiUQi0Wol0FYkajHgrOcSXAvYuF5AE2NG9iYyOJFTe2hrR835bHfoulopYIhxIvYBBaGqQen1yuatNf/N7k+9dW4kvgGw+6nhOfrSsyP8vnJzVt5b9ZyzqtgdHpVfiau4nnANuD5nEll29fo14piDIhEDT4BWANJ6MBptw6GLRFXAUK/HyXm5b79paFF/EAMBuAvQCaEgGNanchwfumP3ovNUFu98Os/Y0edBwbACuwnhoE1kCwx0Eauwf6iDxhbSNMzzf3le0Wd8fsmb5sxbxCqkOPvWpKfOz9NP/tWTDDMxv+gXxoP5RnsoXgayndFNyhZQWM0Cn4hh8LsdlC4YFPAYfBwKlN3/1EWKpnKUyGEWLTEXJ40BM8YMF/H3Ts+Qw2FB89UWDlvI6JTEeJZAspsJ2CIbWSQSiUQikUgkEq2tBNqKRC2Gh2tRbKwdZT2O7qSDQ30M/HpD3mVDsLVWM8Ddar4MaLds3nbpj+oHgO3IfIa2d/n5nnr+4gJ/MbCQztHX0wV+/ZG7rqsKctW9jddY41a4inGNE5Nxmk8VaCFVYBfoUKePX3ucVgGvoCfKwLVWoUO4VJ8Znqenh+dpMOKkn3zFdnrjvn7OoT0zneRCYxijgrvKaYvIDYznwSPj7MAF0PWUQPG7b9le7qMaL8B3d9BD0VSBHa8ul4P3fzJXpLDPKgAGYAvHLdqs5YrHcb/3jRMMfZFDWzRNmknk2IkLByzcsvGi5eIF+MsSkd/jZKcsYhWU4lmdsgWNoyAShsG5vOgXnLooVuZzaZx3qzJp8fnofIZzdjFnyPB9dni+JrB1LMN1i2vk9M2EZJeWp73/dItEIpFIJBKJRFelBNqKRC3Werkn11trAfyaDVlbBdgb/TLADsQA+wDEFOBrFkBejtolK9gOGgFsb9vTQ6MLGYaYOR1OzwKDPWS1Igf26Fi0JrRspauYr+FyUnfAze2i+BacsEGPiwHm8GyKjo7FuPjXkYCXBsIefo/zb11Oet3eXgbOM8k8HRiK8H0Dx+5ffvcc/cexSQa/yqn7sbft5zYQQQDI2BN086y/7YoAAQAASURBVHzgfPTdKrplsvO3cvyYTwDux8/O0lwqxzATxcDg7O0P++gDr7mG9//52VQZEteaP9yDDxwe5+sB2ALW9oa9XFgM0QfKSQspcIt+7e4L0umpBJk4gNMkkJNrLoojmEvmGXzj+HT+cjYt3wUlKIy83M88fJrzcNF2sUacwXJiEpYDeDeLbEZnkUgkEolEIpFItEYSaCvalM7HzehWXGutBfBrNmRdb8BuB2IPvDi27g7t1TjPm3nvVj6aD2CLewlAEeARwBaFqJDV+uyFOUrkdIalcKECatqhZa3+DXX4Vn2f4jpYL8SvuhwOjkQAeEdsgGFa0QBel8aQGXJxKGoJMpomR+FW24OAsQC2W7sC7H7Fa8wJxoUftVfwSP/wbJIBJ6IGCkWTJmPwtlaLLslQxOuimXiGOLmAiLZ1B+jnbr+G3nPr9mWtzX3vfRmD0x+cm+MM3rDXSdFUvuS8XXw8YCjcs5jjgYiP187vdnJkhXLRKuFc5MriOvYAWf7Fc0p0fjpFx0Zj7NqF29fv1ihTWJ1LVoCtSCQSiUQikajddM2vP9jwsRf+1z0t7Yto7STQVtTWuhqiBdrFrbjWWouc2mZD1nYC7M0Y23p+6dGKe7fyXkKmLQSHLYAtit0BCCayJVugieTTxvp394F+LvxW7z5daj7xWrlfxxlCmrSl08+AFLED/WEvw0eAylhao4Gwj3b1hcprPB7NVt2DiABANi6cqYDAu/uQx1sst23fK4C1qVyRP4fQB/uxl493ctZu0dQYJAc8TrplRxe9+cAAQ2A4epF1G/G7GY7X2ju4Nty9PSEv/d+v303PDM+xKxjZtIZRq1iXyePYPxih3pCHJuJZGlnI1ASogLMKLKv38L9i2QItpPPsEIarOasbDKoblThqG9cG+65UJBKJRCKRSCS6KiTQVtTWWm/n43rBy0o4VKvg0tWo5YDGZkJWtAvgBjik6wa94bpefr3aeIKlxlPr82aMbS2+9FD9h/sTj8QDnu7tD1XNa23FvYSYAHtGbTqv0xefGeECWMh5RR5sI39bAEw/fOe1Dc/nkdEYRwIAVtrXTblf/+ihU/T9MzMMWxGHgNiBnpCfYukCw9DX7O2hG7d10EPHpxetcTUwncrp9N1T0zSbzFNf2MOxAOiLmgv7XoG7F45dhS6jmcKiY7Fec8kcw9V4RufjkD0N4I3cafydwRhnExZI3d7tp9NTViSDygO2/12Cw1ZBcwDe8zNJhsZ2dmoHt3AMY/40zaTZVI5BNDJwl2Kt1T4vsIvZcu7CtYvXWAO4fVHobCkB2LpLbmAV3YDCiSjGVun63eyw19xsAxaJRCKRSCQSidpAAm1Fba12cj6upSphG+DQZDy3oR3HrQCNzXQxo10ANLdTo0tzKfrysyP8WPuOnuCq5nyp8dT6vBljW4svPVT/Z5PZcpGwU1NJGox4+Z5t9b1bCXKj6TydmEiUi3bBOdqsvy32+Xz87AxdmE3Swa0dVdcVYPbcTMqKR0AmaKHI8HKo00/ve9UOuufGIT4OkNW+xipzVsHR5x8+zU5dFO8K+VzU4ffQRCxD3zw2ueh4CNcB4E1m561MX5eDAm7nonVX0QgAvyaZ5HU5Ocohlta5D2qMcK7iC4yRuTSdmkzQ4ZEFhrNzqQJDXkDrrzw/yhm9uBLyaOdTeQbLKvEB4mgDxNaWfuOewpxMJ3I0Hc9xcbalgC0gKe5LuGgZSJdycg3bb4ypM+Cmuw8M0mOnp+nSwpWxENVkT1LAOgGqL8UnNyO/rFXgTSQSiUQikUgkErVOAm1Fba2rIVpgJY+oV8I2AKi+sHdDO45bARpruZhXM+eAa8hCBSACKAJkw7krnfPK8QDk4fFz1bdajtRmxEusxZceZcjndLCLEqAQr+G8vGVnV1Pu3eU4z/E+vuDA/YLfeF1tHlfyt8U+n8il7fS7a+5TuE5DXiflnA52fsLVOpXIUm/Yx3Ol+mt3wKoxwgk7Fs0yHD02FuPsWRQqi6XTDKVR7Gwhlaff/beX6OU7u/hY9O1Dd+ymT33jBD1TgmyZgkFZvbho3XF9FDe7aVsXvTgSJYdmcjQCnL+YV0BitGkYFoQtlMgo9g9iD64dCNHBoT6G1iiiBuV0k2LpPJmk8byjuJmKqACrdTqI/B4X6YbBkBbXLDbghFXqCLhoe3eALsymGdriGnnEL9hcvPmiBYNfHFngfq9UmxHINiKG7yKRSCQSiUQikWhNJdBW1DS1Ij9zLXJRWy3lRAQAfOTEFDvk3npocFmP/cMxCAC1UR3Hax15sJJYANXuxbkUZ6EOdfpopjTnO3tCK57zyvEAuj14NFHu23IdqcuZy5V+6bGS9UKUhAJnGAciEpp17y7Hed4o9G/0b4t9LvrDHuoNemh4LkVbO/3kcmo11w33LAAtXNuAjA6Hxo/xL6Rzi/qkro+/C6MLaXZ2n5yI82P6gKM4/9xMkvTS3AJQalSkoMdBj5yYZqcrcnHVPACW7+kNUjKvc3GuA1s6Fq27Wi/8PeqPeGlbp7/890i5cAGjEauAOTILRfKAumqWS3YhVWAn66mpBNPSgNfF1wK47Qm6eB8EPS5CmnCn30WdAQ9DVMQNZAs6IWrXNA3O060nBWO7Ay4KeFwcuXDz9k6Gh0dHoxyFgAPs6FcvGjQ8m6ZMXtBrs+WA3VkkEolEIpFIJBKtqQTaipqmq6FoWCt02cFpMARE1ibmaTmP/Stn4UZ1HK915MFKYgFUOwzPohmGcpAdaq006xVgFvBqT1+QXwOIqb7ZHakAxQBz9XJ0lzOXKwGTaBd9ePjE9LLWiwtXDRXK47TP13IgcLVjl+M8rwX9V/qlkn2+HzkBoG8yJAVE3Nrp4xzYavsUrzGPn3vsPFpnlykiE1ITCdo3ECkXB1PXvziXZKAPWokM3ERWZ1jLhbU0jQzzMvgFHI9mdXbfYoz2eQAsRzzFDreDP3vz/n568Mg472vkxyIWYUuHj27a3kV3HxhYNA/KhXtwqKN0vRSdL0U8QL1hD597dCxKeXbKmmRmdf4M4DaVL3KucdDnph3dAfq5V1/D8RR/+M2T9PTwPOcNg//mClfOs4pRAAg3TZOdwiiq5tI0jlLAv4uGQcmsTlndJI9Lo4w924AsZ7GKTBA1Vy4snEgkEolEIpFIJFpTCbQVNU1XQ9GwVuiygzNJpJk8P163lWNZS9Vg20YG4M2IPFiOVuLWVe0qxyH6+CNLOKIbhX3oA8Asro9oBBR2Un2zO1Lx2VJAthX3WSUIRpZpM9er8vqAgIhRqAZQq0Hp5TjP7dAfgFEVk7NHDiznSyX7fJ+aVP2x5gXAtlrxMgWIx2NZeuWubvr2qWmajGb50XvDUaQXRhbKxcFwfQBPzMdCukDRtM7RCoCSo/NpyulF6g54GPTjukCSRcOKPygWrfgD9AUQeSqe5WgD/EZhrrsPWnm+f/fEMJ2eTBAMqEBvKPy1tz+8aPyqQNlLYzFuF4XJ7n3Fdo5Q+O6pGT7mNXt62TVrGNb+4EJgZHImrtPpoHgJ4IK/el0Omohl+cumKRQaM0xK54scu7CoMhkXJyN202KtrFgJN40tpCmdNyhZcs3mi0WKZzP8b5cDp1vP69sv1SiwxTmYh6XcvqLLOjgUWe8uiEQikUgkEolEm07LhrY//OEPye120w033MCvv/71r9Pf/d3f0YEDB+h//s//SR6PpxX93PRqRfRAs9Wq/MyNMPZ6UhDpW8cmaWQhzY6ljRhxsJEKyq3GrdsIhGxkT9aCq/X6Vg/IqjaPj8Xo+GScTozH+dg7ru2l1aqyXcC4ZhYRq7z+d05OE4yajcYbIKu1Uee5ff0WQfCxWDlyYDmwG+uLolvIcAVU9To1dqwiRgDzhDbsGbtDHT564VKUnhqe48JYyLOdS+TKWakAi/OpyxEJuP4jxydpOpG1HvfXiGEzXLWJTIHCfje7mAFoTYM4egBCtEHI46KBDj/t7QvRbDLHsRHIk8VF0B6yc9EnjidQNFMjhqNwK9v3FrJwv39mhot8YZyHtnbQj79sG8PUhbTOcxjN6Jz3DDesXnIAo5gZ2gFctiqQISqhSCcnE9wOhLHBOQwHLTJp8aMKW8HAub0rQEGfizNrAZ+RF4x9Vwlg1WsuXFaqdoZrAcCWmr4iMqGmNCK3plmZvaIldef+/vXugkgkEolEIpFItOm0bGj7C7/wC/Trv/7rDG3Pnz9P9957L73zne+kf/7nf6Z0Ok1//Md/3JqebnJthOiBVhUN2whjX66Dc6n52eiger0LyrU6C7mRPVkLVNfrWz24rdqcjmcZagW9Bvk8PsWuVqXKdu8+0M8grlnrBZCJPGc4VfFI/5aIj3weZ8PxBmrO1H1x/5MXy4W36t0XdgAM92gsrS8bRGPsgKEXZpM8DkC+iWiGKSHAKtbEnrGLcU7FsuyejaaJoa3yhZol4JjOXS4OhusjuiBfNKg/4qfpeI6hJ2IRkC3bjQxdjcjjcXJ0Ad4DZ8T1Yxmdwn6dz4V7Fg7miM/N10UMC+YV8wSXqxL+ifxZ9Mdy7hID2wcOj/O/EW/RFXCzixhzWwnRB8NWhMd4NEN5wyC3Ay5hjTBMTdPYYYsMX7hhcS7ALbJw0QcGtsieLRFsFGoD/EWswq6+MDk1jQv1qTiGWsJxgNtw7dqZq9dhXXspx61aBxRhEzWmB49M0i+8/kpXuUgkEolEIpFIJGojaHv69Gm6+eab+d8AtXfccQd98YtfpCeeeIIBrkDbzRs90CpQtpqxtxP8XM782KHgkdEoQ6GekHfDAtyroaDccvfkSkB1Iy5cr8dJEZ+LtnUH+BF4PIK+HFW7J6q128w9BlhXpsumyXm0M8n8kvEGlXOw3C9w7AAYj/vDPVqZQbvU3wj8G/fewa0d5fUGILVn6tozdgGmUbTJ63ZSrlAkvQQW7XgQDlzVPq6PzGRVrFDlKON6cPNenEeOLlFXwMNO4dt29XCBsSfOzrLL9cREnDNwAXkRlcDuVlOjnpCH3bcAurv7QhTLRClbgqEAqgvpPI8bwrXgmQXMXUjlOSYBzlicv28wTC+NG5yve2k+zcAdc4h1CxR0KhZNdvtmA0UKuJ087kvzKQp73ez6NUyNOrxuSmQL/JSBl2MUCpyJC7iLbQEX8dnpOENoAOvSNFiOWrWHSj/o+7ZuP82l8iX37uXPCwaALpHf46B0DtEN9YVIClBenCeqr8n48v7OiEQikUgkEolEonWAtlwgBIF2RPTII4/Q29/+dv739u3baXZ2tgldErXD4+VXy9hb5dJtNQy2Q8HHz8zwY8MHt0Y2pNO4HdTs9WpkT64EVDfiwsUj+ShEBTi3kr8Fte6JVu4pZMmieJeCnICgyHpdKt6gct0AR5eC5fZz4IyFa3g8mq0Jo1fimq7M1LW/Rr4rflB0C3EGAKYv5aNUzFuAEoXAOoPeRddHv7Cej56YZmD7pn39XMALkQt/+/gwGZTjPFhkxh4a0ssQGdm1BR2ZuA7a0uGloQ4/F/TSSmAY0BdZuACmAJRwvKrPAG2/9OwIO3cjfhcVTZNi6Tylcjo7ZnHOv74wxoAUjlY4vDXNagcu266gm/pCIXpxZIFmE1nye1x00/ZOumFrB93/1EUuughGrNy3aYeDi4nduW+QErkCfePohBWxQMQQdza1uDqZLc2BfG6NOvwe6g97GYC7HBqNLWQWuWz5n6blsi3kGqOwKFzWDKf6ZpBaK5FIJBKJRCKRSNTG0PbWW2+lT37yk/TmN7+Zvve979Ff/uVf8vvDw8M0MGAVPRFt/MfLr5axt8qh3OrIBjskQsV5OOza2WXd7mr2eq3H/ajawOPj0XSeOvxuLmLWqGNUCeBzNonH9x0MCpGX2mpVQs89fcGG5r9y3QYjlsOzHiyvPOeeGwa5WFit+VmJa9qeqTvUaRU7g/tW1w06OARnaoJ0A8XWnNThwzqF2amKvFZkuOKLT1WIDEI/sB7gYujLwyemGbLic6wPQC9+kA37+NlZCntdpes7ygAfTluMVcVIfPTLL9LoAsYaZFcroghwbYBfOFpxLpzAozmdoSyKnSF2wOMqkENzkN/jpIVMgc5Npxhswj1smgZNxnK89xA10R/G2E1uDw7bi3MpjkGAGxc5s71hrFeRM4ABX1FYDPERXpfG4zVMRCcQ5UoVwXAO5of/XRozMoSDPhQnc7ED2CxdJ9cEiIhxwQUu4HZpqXURiUQikUgkEolEbQxtEX/wUz/1U/S1r32NfvM3f5P27t3L73/lK1+hV7/61a3oo+gqfLx8rcbeKodyq+Mq7JAITjg4FZs1hnaKjGi11FjhKASgum1PD40uZFa9XutxPy7VJsaJXFI83v5ApsCRGh972/5Fa4v5ODwSpZMTCQZnToeDDg2h6FORHjwyzk5PCE7Pt9801LR9sVLIXXmfIW/1lp1dda9T697898Pj7ABF1itgKnJT33Pr9hW7phUcRR4s4gUAMhHBYGaJ9vRfdhXDGd0T8vHj5QCUu3qC5HZpvCfV3NSDxwDzxyfidG46SePRHMcDJHwuhqOITEB8Adyt1w+Gy/OBtTw2FqX5dIHjM5Bz2x3yMijVFtIMKgfCPo5QQFsBt4tee20fw/Snz88xNIazFoQU7aHf2C/JXJHOTCXYPfyqXV1csMwCvQ7OWU5m43RpPkM3bOvgyARAZIwLMQv48imR0dmBnMgalCuYV8QX4DU7gf1u2lJyDZ+eTlJsIcuwFn1pZpSBrZ6ZaAm5OONEJBKJRCKRSCQStTW0vfHGG+no0aNXvP+Hf/iH5HReneBHtHHVKkdkq+Mqqj0i3qwxbPTCbisZK3IyRxYyROfmqDfsq7teGxVqo78AtngcHoD6ibNzi9ycEF7jsXLO8uRCUC4GoXj/8z+4QDPJHOehjkatY5q1L1YKuTH/R0Zj9PjZGYaCgHl3H9xTdz1q3ZvfPjnNj+wjCgC/v3NymqFto38jqu0LvIbzFfOt2B9yhu1uYFXUDY7RkYU0uZwajS5kaWuXn/76++e5CBkybRHlYO/3lg4fPfDiGDttM/kiRyEUOZpIo2RW56xcrBF+AGzt8wv4jixbOHITOZ0Li733lTvo8TOz7IJFcbMXR6N0dDROpJnkcznL7me4iBFpAEcsACsKjSVyRS40hrY9bifD1Jfv7OK5ePbCPGfsWtEElusX86EK2WGuAMkT2QzppkkRr4sM00lZPX9FtTDsSsRDfPC1u7jo2n2PnuHH8hWnXaI+maiFgjtbJBKJRCKRSCQStTm0haLRKDtrz507R7/yK79C3d3ddPz4cY5H2Lr16oQ/oo2pVjki1/Lx+GaPYSMUtWv2WFG8iWiOvC4nu//qrVcroPZagGBc9+vpAs2n8+widTt1evDoxKK20D7yTGFnBFiD0xawDu8D8sGRCcGN2ui+aOXYcC04hi/MJhnYohAWnK31ivIBOuIcxEAgaxavy9JU1SqU8Fre/VVtX6j5jKat+YwR0ftetYOBpYqxwDE7uwP0uut66bHTs9wvANveoIeOjcd43nFdwF3sTfU3BfBTtccRFibxdVFMDJEI4O6oOQZQX22tNHIwoMa/tncF+NyRaIbX9tK8g8FrR8DFfwdQIOzUZIL+x9ePcf+QGQuHLzJxcf3ekIdBLgDx3QcG2TWMnOB4psAZuLCrIq0A04u99+T5efK5HNQT9ND7b9/J7/3DUxdpIpahoa4ARVMFzsdfSBXKQBbA9vY93fTnP3ULR09gzPgSAY5iJTHFrp/SQsxFIpFIJBKJRKL2h7ZHjhyhO++8kzo7O+nChQv0oQ99iKHtV7/6Vbp06RLdf//9rempSLSGaqSi/EZ1p65HUbv1cq+qscI52hvylTM/mwW1Gx1XLRDczHnBuV95fpTdnHA86kWNTkzEF7lt2bka9PC/o0ScxwpIB/iG4llzKctp2xfxNrwvmg25K+ck4ndz0S0uynd2hqMI8LpWWwB+KArWF/byb7y2HKS9HBmAXNSAx8mva7VZbR3wmdupMZxFdiscsnfu76eugFVULJbW6DV7e+ieG61YCbhkHzyaYOfz907PcG4sCnLFM3l2fqeygJ0aXdMTIq/bwRAU2btKcJmqffjM8BxnykZ8LppJ5DneANEIgKuIHahcK8RbXJhP0fhChjNn0YdvHZssO41nk/lyriyyeBHrcHQsRicnE+Rxahx7gDnC3Ac9Tna4ogAZ9hVALq6pwDKcxehDulAs59jOJ/Pk9Dg41gXzD0cz4jbUEwOIS3ju4jwXV8PfIJWZiuiFd/zp97k9AO90lSwEjmswrCgFu9TD+wJ2RSKRSCQSiUQi0aaFth/96EfpAx/4AP3BH/wBhcPh8vtve9vb6H3ve1+z+ycSrYs2UoTAcsHfehTRWq/5XMlYlwO1Gx1XLRDczHnBmh8citCR0SjldIO8Tjw6r5Xbwj6B49HjdDBo2zcYoalEjt2rKJB18/ZOmk/lGX69cV//inNnV+vcrld8TEUk1GurVn8AKBEFEfBac4DXtdqstg7YF48cn1wUIYE81HfctGVRgTJ1L56ciDPkRT9OTcYZjPs9LgatuYLBEQU+j5PjEqrtM/s+BFTNF4ocFQBnL4A04gNQDAyguHKtAEiRb3xxNs1jPTIWY6CKxQ35XJQpoPiYg3p7vHyNQ1s76Ph4jPRikdwOJxWKRZpPFTmOAcXAAGnTBZ18bhfD58tu9Una0x+mhXSORufTXIwM+zDsd9GN2zpLxcnSV/yNgvv2N756lIuaeV0GxzDki0QzyQKZVKi5N8IeB3k9Toa2AMUw4WIZAXlV5i0EB7JZ4z945CF/kUgkEolEIpFIdNVC22effZb+6q/+6or3EYswOTnZrH6JROuqjRQhsFzwtx4u4fWaz8qxAh7BAVkPcC8H9DY6LjuAAyCdjGXoP//D83RmOkFhn4tu39PblAJpcC4CZAFY8WP0uuWIVPsEBabQX0BCuB0B25I5BzsmD2wJ0yffecOyvxxotnO7XvExqyhfpm5byIZFHitAKbJUX7fXctTC9bmr73KBMDhba7VpXwc1bjiSHZpGYZ+bdveGGLaiyJfdHWu5a617cXQhTbDEAnqiH0XDyhr2eZAj7KbX7OnlCIJa+8y+D5FN+yJppBsGRxnctLWTBjusbOZqexivkXmLLFu0PTKf4vcRh5HI5jnDdqjLT6/d21eeY2TfIrd0Ia3z/gEMReEx/Ma4/W4XDXX6GepjvjAngNT4IgD5wL0hL3X53Vw0LWYQTSey1B20HNuVf6NwDsCzXjQ4DxfRCo24ZHNFk4o55PlaecypvL6okBjc4n63g8dR7VoCbFcuAHORSCQSiUQikUjU5tDW6/VSPG6BIbtOnz5NfX227ECRaANrPSIErmbA3C7z2QjgBvBSRaYUnKrlXm50XHYAB1iKzNW5ZJ4dj1PxHGmkLVkgrRF1+AEUgwwTAbQ6/Z5ypusV+2Q2ReOxLD8Oj4zU2FBth2O9uWu2c7tyTlWBrKWK8qnPHj4+xY/W+7FepslRAtWua59re8EzuI2R4/pHD51iqArAqGA3HslHViviDJDlirVEjIGC2PY5RhYrXKl7+0J0++5u+rfDExxXAYcvsoNx7Ua/XEEbe/ot4HxuJkkL6TwNdPiqnqfmIZ3TKZ7VKafnGIoCcgLkAuQf2hph260q8IbxotgZ+p7OG+zKRR/h2Ib7Fu5W5NgupHIMeF2uy3sAObe6afUXwBZfGmzr9rOD94atfp6Xzz12nq+NImNPDc/R5x47xzAZgDWVbzzTAI5fOHLhVi4YxhWOWkDtLZ0BcjpzNJusv59FyxOiMUQikUgkEolEIlGbQ9t3vOMd9Du/8zv0T//0T/waxUmQZftrv/Zr9O53v7sVfRSJ1lyrBVFrmeHaLkC0ntYjkmE1gLtR93Kj46oEcIBLyBYN+ZwM//AY+VIF0hoRQOB3T01z/mnYaxUcU5mulfsE0M9ygToYTALGrWTumu3crjen9dpSa3ZxPlVyDkd4XpWjtt517QXPQAEBV7Eup6aS5NRoEYg1SyAWwBbuXeTFqj1in2MARpWhDAcuohF29QUZZu7org6ca/292Nrp42gGuIfhpgZQdTg0fg/Zum89NFg+R83Dlk4/zadyNJ8yyaGZDEijGew1xGY4GNKOzWdIcxCdnIxTwOOigYifXblwsgI4Ix4B8Qo7eoLcR0Bw/FvBY+TkLmQKnNGLYn8nxuOUyBW48BnOPTWV4P6g/4jt+MbRCZpO5NgtrJGV8Ys9CDcvYDKwoFb68gFxEpW5tQobAj6bhcvF5JTQb8whgD2uI5ixeUoVZDZFIpFIJBKJRKK2h7af/vSn6T3veQ/19/dTJpOh17/+9RyLcPvtt9Pv/d7vtaaXItEaa7UgqlHo1wy420wg2irYvN6F29S4kDOKLFLAN1VMaTVwdyXjwrzCZYiiUKSZ1Bfy0r2v2N6U+cF6AeLliwYXuMIj/KrvlfsEYPOh45fjEuBobeWXA43uLfucLmc/Xl6zEB0eiXI/d/aEyv2st1b4rCfk5QJnU/EsFebTDDZxvYJulDN17SAW8B3A1r5HPnTH7kVzrOYcfQt6kTlsxREgSsA+jqX+XrDJUdPYxQoXcV4vMphHBAHWGueqc+x7F2NAfu54NM2uaoDbG7Z28P47NhajZF7neA4cY5p6GXxCcOkCfHq8Gu9VFKd72fZOLu4GqP3E2RmeF0BtD1zIJiI5ihz/cXY6QcmcwQQWfbtrfz9t7fQzGLeAMRzAJgNkuMzhhva6raxfDBWZuvhSA5ENmq1PDg2OTwvs4nc1ZfKW/RbHqtgFSCCuSCQSiUQikUgkuuqhbUdHBz388MP0+OOP05EjRyiZTNLLX/5yevOb39yaHopEbaDlwsxmOzrXCohupAJsKxkXCkOBgMEtWc/Z2kr3MtpUOaCASHfub7zoVyN7Aa5LjBVAzN73avm+eFS/Udi/2i8HVrK36p1TeU/CzYljsMYAjHgUXzlQ7cci8xaQEC7Zatm8gNmIi8AaYf7uPtBfdZ6q7ZFa92K1Y9Gnfz88Tt8+Oc3ZxiGfm169u4cuzqcZvNv/1gC47uoNMtScjmc5azY5kyKXptE120O81upvTGVbAKYApbgmvrAAsEXxOTh2UdgskdU5s9YwDAa1drCJf2PsYb+T5/Mjd13Hzu1PP3SKUoCjKPplEhVyBo0vZCjsc1JX0M1ZtSZp/IUE1g5xHYDiu/uCdGkuzcAW184XDOoKuqjD76HJWLbctnVtg9wOoqDXct2WuDV3SisVHWNHcMVc83WLxhVQV4Dt6uQtxYyIRCKRSCQSiUSiNoa2Sq997Wv5RyTaDFoucGoU+rVbHm0r+rOWURGNjAuPY+Px9nrr18o4B4z9Pbdu559WaCWRDWvx5cBK9la9cyrvScBJgPiz00kuWDaTyFmu45JNU+XSokgZwD2KklXL5sX5yPdFXATcx7X2a+U8IztYFblTYBifIbsYoHUmlaPBsI/uOjBQzky+/6mL7GJNl7KN0a+5ZI4Lbk3A8QsX7ZEJyhSKXKgOGciArtvDXhpZyPDnU4ks9ZQKfkHoBxytKJx2bX+I3nxggMei2kSfEH2gmVYbWYTEMug0FzlTIXA6AOKhLicXDvubx4cZoCID1y6cBvfsUKeP5w9OdkQYYNwRv6fctyMBL52bTpYBKn4nskU6OBSgkfkr90PBQPsFcmH6TSL0FHm7cJCjb04nkVHZaZszV9Q8IUZDJBKJRCKRSCQStTm0RZ5tPX384x9fTX9EorbUcoFTo+BsPfJo60HUVvSnHdy7yx3Xesc5rBR4twMgr6WV7K1651Tek3BzfvjOaxmc/vX3z9NMEhBUY3cpXKLqWOTCWtdeXTZv5fFoV+3zh45PUjydp4Jh0kKqQF6nRgGfi2GpFbvg5P4j5sDKNnZRMlvgMcD5imNG5/G5Yf0umhT0OBkE41y3S2NHcVfAS/F0gQJuJz14dIIhdVfAwyAXkBVRBirTWAmIE58BBDudGo3OZziTFq8r3alWHIFJl2aTFE3lGcSm8kU+vlLoG657cjLBxwGqwiGMS0bTPTwmFL1Djq0LhnfL9M6F3WZTOS4qVk3o054+qwjb8GyKIx5w6MkJq51qUi5cUfOEDGWRSCQSiUQikUjU5tD2X//1Xxe9LhQKNDw8TC6Xi/bs2SPQVnRVqlXQbz0KdNWDqPZH95EkACcfQOBqQGE7uInbpRBaq4F3KwH5aoHwStag3n6sdU8yDC0aXKwLAhi1+m/l0sKpClrY7C9K7Pv82eE5jhoAoCwYBrkcTu4P+mWPMbBnG7tdjpLr1aRkFvmyKCCmsasUcBN5uh0BF3mdTnanbusOcJzCU+fnOEOWoZqpEYIJAKkPDnUsut/sewNF1lAMbSbhpNlknnJF4wrIics5NZQLMzmfNpHLWlmyVcaO9wGonx6e5/UCwAVOBYgdmc/QJ/7tOBcbG+zwUU43rGsYFggsmiadn07VDJ3tCXroLQcH6aN3X89g/IHD4zQTz1pF4WqsRS0ALFq5hjrbr8ClSCQSiUQbRdf8+oPr3QWRSLRZoO0LL7xwxXvxeJx+7ud+jt75znc2q18iUVupVdBvPRydS0HUo2MxrvqOCu7/cQw5sI5VgcL1cBNXqlqeq3qUfa0cqSuBnnjUfDaRZaCHgljnZlJ1j28lIF8tEF7JXsc5cGjqcGSyg3W6vB9r3ZOYW5fDwfEBRcOg7qCH7riulwIeFx/7ur29DBXHo9mq93KtdVrqfXuROzyxjxgOjxOFtizYHM8WOONV7X8FpB85Mc2FwibjWS68hfMh/IITFuOF0xbxA6m8Ttu6/BT0uHg/ANgOz6XYwQuXKyBvIlugWKZwRX4uXLgX55IMa+cSOc60RYwExuBzOSmvpylTKiwGN2t30EvpAnJvS1m3ZvVcWK0EeLN5g9IK6doO5H8i2qBINDqf5SPghEXxMgjjVRm3lQq4HdQf9nLhs5/6f5/kHOLZRI5BfD0ui2vh6sJum6c37e9f7y6IRCKRSCQSiUSbTivOtLUrEonQJz7xCfrRH/1Rev/739+MS4pEbaV2eVy+GaoHUQGfHj87S7lCsQxRlgJ/S4HCdnS5rkdkw0raBHwDfMRj5QB30fTiLNFKtRKQr5djula76p5U0PRzj53n8SPT9bEzM5ydqptwrRYYmja6vrXWCUXDkEELYAiHLNyqQa+rXOBrMOLj9YFbdm9fkObTBX4NWNzpd9H+oQ66u5Rnq/qPXGNA6b9+fJiLjGHNcN9hvbd2+hmqIlMWIDaaLjK8hxCNAIgay+jU4XPTbDLH+bFIegUMHer0087uAO3tD5WzbEcX0ryfnhmeZ1CKwmAvjcU46sDrcjJ4DXicXNANruC+sI9h8vnZVF0Ayo7aBqt8qWsYhgV5cRrXBqwBgwHcMbapeJYW0oWG27G3JWqOdvcG17sLIpFIJBKJRCLRplNToC0Ui8X4RyQStbfqQVQAss6Am6JpYnCLO3op8LcUKFwKeK91DqvddXhNT4gB2GoAZKP9Xwn0jPjdtL3bz25LgEe4n+up2YDcPjYUyErlijXXWR3LhbwyBc5gRf4pxoCCWCtdV0DER45P0onxOOeuDs8k2Xn5pn399PabhhZB1iOjUS7C9fiZGX5cH++l8wb9y/Nj9P7bdzXUXq11+vbJaY4yQAYtfn/52REa6PDzPoqlrTgDrBHAp9/jpj6Hg0EsXKxw9gLq3nPj0BVzgIJhM4ks6YZRTgiAcxbzecPePnrZjk766gtjNBHL8PG45ng+SxGfi/fDrdd007MX5tg5jPzZgNtFYwsZ2t7l5zUCzIYLeGtXgGHucxcXuBW1nhYHBYD2MEANeV3UFfTSm/f3c7/vf/IinZ9J8JqjMFijQhxCtZgCV+l9xV/hoq4mzAXcx3Ac14iuFa2hnjg7S/e+cud6d0MkEolEIpFIJNpUWja0ve+++xa9NlGBemKC/s//+T/0Iz/yI83sm0gkaoHqQVRAR1R4h2JpjV6zt2dJ8FcJCuF0XE70wFq7Xu2uw8MjUeqLeNkBuZrrNdL/lbhgATtPTyX52jgHzsm1dIRX5qDC/dlbesS/cl+oYxHnAHdwwOOg+VSBQl4nnwOg+e5bti8CvACW8UyB4aNyhVbuFThKQQ8TuQIX9cK6zSTy7G6FS9UOWQFrL8ym2Z0K8KmEKICmFOPTStfUUJBLL7d7OBNlaOp24HWIvAyLdeoKuGk+nWfHLbJYETVww7YOeuz0LF/mzv39NF+Cp1ndcp4iNcDpcHC8AgqKYYz3vmI7n7+QyjOQ9bo0CvncPM9E89QX9tNgxM+OVDh80ea/vjhG3z87y9m2L43HeMwAuohkwFraXat5nSjsI9rW7afRhQzNp/IMcO8+OMBt/+OzIzwe3De5wuIogxpRtOR3OzlmAe0idkFl5vpdDkqB/taIWyivO4Cu2GXbRrhfRCKRSCQSiUQiUZtD28985jOLXjscDurr66Of/dmfpY997GPN7JtIJFpjVXNqLuWOrASFALbLgbCVzkbktrYybxbX3dETZNch2kPRptU4Uht10K60EJc6Z0uHj8HnfY+eacm8VAOZlWMDfP3wnddWPV8dC9iIfk7GC1QsGlxIayaZo0dPTJehbRnwJrNcqGprh4++e3qGHdBvPTS4aGzjsSzt6g2ygzWZjbEzGm5XxBRgXuyQFUC3I4Cc1iCdnEwwoMR1XnFN97KK8VVbJwBWQEsUE0O0AGIJEC8Q9rn4NeIF5pN5enFknkHz3v4wP9IfQ2QCIKVGDFK/+RJyouG+NenSfIpzaAG4NXIy3MT4wJvhqD03k+Rx/D+lOUef4DJGAS/M2UPpPE0ncnRoawftGwzT3zw+zIAY44brFvB1LArQanBxMxQdc2nW9e0CG11I5/m6iaxOqaxOLxSi9OyFeY5PcLucdMuOTs7SPT2V4H4qWbEKDi5WxnEHyKt1aNThc9Ge/jC9eGmB50Nl3+JUt0Oj3BJZB/U+xbX4eo4rwa7HQZQX2Nt05RZ/7yESiUQikUgkEonaEdoODw+3picikWjd1Qyn5nJjACqdjYBODx5NtMx5q9rDWHf2hBgSrgZ+NuqgXWkhLnXOcmH4cqMnqoHMyrEBHKMfKgLBHn2gjp0pOUcNE+CQyOCqXEhbvXKPIPYB+a3JvE7JbJGyBZ3++vHMInirrgsQrGkaQ7p4RmeHtB2qYp8hAxbFqgA+45k8Z7Vu6fRTh9/F/Vbjr7dHaxWtwzEv29HFrmBEC7wwEmX3KYqHvXnfAO3bEqI/fuQsO4eRPTuXynPRMMBQa/CApSYX9eoNOTg3FlAVUQGApYhU6PBbruBoRieTipRcKNKxsVjVffDMhXmaS+Yp6HVyX/ZvCdNr9vayIxdOXKfDzXM2vpBhUIq5Q9xB0TT5NzuYbUI/UOQLa+ZxYo7zlFXZBXmDfnBujnqCbitPlxzsZIYbF2sY8DqpaBQZ8GJceA/AFi5h8FO+pssqqoY1CXpQKC57BZjVGgC2aBNOZoDpak5cQONOr4vh83IycEX1hXkXiUQikUgkEolEGzTTViQSiSpBHx7DRiGheu7QSmcjHpmPZgotKXgFAAeQBQCh6wbdtb9/1bmva1VobSWZuMuJnqh2/Q/dsXvR2DB39ggE5O0ivgFS44azlGVamaROp8aA9Y37+ssQGRmriDfAOqDAWjGnM7HD3kBeLPKU//r75xnewuGKdbo0n2ZAfHwc+apF2j8YYmiqCpCpvuL66O+PHBrk/j50fJrGYlk6N5suj385URX2OcSxt+zsYmiNqAZAawBkfNHw5DnLlYrjwApjmTy95eAgu4QBUiGXQ+PCaIC1gIpwnqLA02CH5fre3RvifFs4bFHADOPLlcikmjs4bTN5nS7OpUg3THa/Ys6+f3qWPv2TN5fzR8NeF+f6os2JWJbymnUNANRq/A3wHJ/kikbJVbmYeMKty1m9ET+DaawRMovhqHWBlKIImtPD2b0+D1zDRb7/sZ/gFtaLJgH3dgccXJTNoTloOpEtF1+7ssUrhfnyewCIax+Z0YkKRd1yZpcze6+UVsrXXU5O72bWzds71rsLIpFIJBKJRCLRplND0PZd73pXwxf86le/upr+iESiNtRyHJt2iAlgC+cjIGwtaFgtXgEgcDnZr40KYwDEUwAOTsDVRgw0O0e2llaSiVsP9Fau6VCH74rrV44N8J0dsi7LIQvnJF7juvZjATnhyER0wPauAL2l5JpVABSfweo5EPHTjds6aSqeo/FouhQjgAJiTgZ6iCIoHie654ZB+ujd1/PeWEhbWbInJlGQLEG7+kKL9lZlf9EWACMgJyAw+rEc0F5zDkv5tkCOY7EMpdldTKWCZCYZmQLD3I/cdd0ikDqddDCwhUPW5XCwW9Rrc32jkNrFeavoGLJtvS4Hj2OudC/NpXJ0bjrJgBjwMgngjT5EMwyw4bhFdu7wXJpu7A/RL75hD/3ld8/R98/MkmEYlMkXLaiaL5aiCqyIAbh9AbkhINhqLPOV13TTVCLH8BSZ13DYTkQtxyygbF/Yw2uWTOrsGJ5J5Kg76Kawz8nOWL/bxbERvUEvFfoN0hzEGb3YDjl9cVZuVZlWVi7cypVOYbtgEF4K2HLBN3HiNqw37Otf7y6IRCKRSCQSiUSbTg1B244OcViIRJtZy3Fs2uEdYNNyXbMoZAZwBcctnJV4vZ5u1XbRShy9laB3qNOKN8A8WBAwQ0Gvi4+5+0A/w9Fa+bkQzkGOKx6xhwMUx1QCZHs/UeDNDvjt84/s2719Ic7IVQD5W8cmaWQhzUCRTK1c1Eutk/38U5PWPkQEwVPn5uhLz46U27cXFXvk+CRHNuB6cPf+++FxjgdAxi6EsVbKDrTnSnEPdpiNeVT5toCqAJaAsICPeCQfULAv5OX5fez0DH3sbfvLDuBj4zGajmcZ1AIm94a9VNAt9zfAJiArhP0PlywygZEj++zwHINVxBLgPLwPxgpo2x1wU8Ew6HunprmQGOIRbtzeRZPxHD0zPM/t3/LSJEPrY2NRC4YXTXI5iYY6/KSbBmVyRXYAUw1g63ZrdMO2CL3M4aDvnJymgTCx+xl9AjzGNVEIDQ5k7I+Q18XAHC5fzIcqzjY8myJ4bnd0B3g+2bGb0ymj1w5NhSMWgBuCe9iKeai/9xvhsRKf0Li+9MwIffhN1hcQIpFIJBKJRCKRqI2g7d/93d+1vici0SbQchyr7aSVws6VuEMBuQCb+sJe/o3XzXKyrqQ/rVp7wGiMrdG9sBJHbyXoBRRU8B1ZqciAPTjUwfNxaT5De/qCDLuOjsUWAV0lOD1R6Atgbv+WCN28vZP2ljJtG+lnrflX5yg3LuAiACvApP04+/keEEfTZGCrohowNki1jzn+28eH2fk61OmlrZ1+euTENB2fiHHRMMDJ5y7M83gBNtX827+kAFDEeSjCpmA51vLIaIzBqs+lc24uYg4AMKfjOeqPeOm2XT08hkoX8v/4+jF64VKUncqIhgj73OTwIN9Xo/ufvEAPH5+iwQ4f3VqKYcA1AYUVJMdvwFr0zeXWaKDDz2swEcvwFyQAo2CvgKHz6fwimI2fj375RTo/m6T+iJ/76nZptLeng6ZiGXbvJrLFqtDWYWoMuntCHnru4gIXAQPMZiDrcnAcgsfpYNAM17FJermoGn4KOYOPRR/nUzn+AeS1CqdVp6fqbgCwDXlRvA1ZvRpt7/LThdkkJXIryzYQVrt8TUaz690FkUgkEolEIpFo00kybUWiNQR1KmOzVUW2WqWVws7luEPVXAEyAR7ZoVczhOvnS45GOBvhLG1V/mwjbmW4iQGl8frIaJRf94S8q4L51b4UqBZvAPgOp2gsXahaAK4S6GINALrgJj041MfvwSWLHFm0p3Jll+r3UvuhEt5WHmc//3V7e0k3DPqbxy+wE7M74GFIaN8vgOLAem6Hgx/VxyAAQeEo1UvuUBQHe+LsHLen5sr+JQXyZXEu1qbaFwvD2QIDbkRt9IZ8dGiogz/D3q12ryAHF4AZ0RKWU9lymqKw20wyT9Nc5IwYTMJVCjCd1a3cV8QlYBBOh8mRBgCoP3/Hbm4bawtQ6/e4KF8o0kvjMT4G17HD7Dft66fRp9C3IhcH29kdZIf1g0cmaDKWpYJuUrpKhS/04fmL8zxvnLNroniZyVEZAY+bgS1eY0wujcgwUL/MWBRjgH/m9SJdmE3xPY5r4bha6BXeW1wLwDZTMBiGIx4BcxX0uimZywmAXSPV9kGLRCKRSCQSiUSitoK2X/nKV+if/umf6NKlS5TPl4rOlPTDH/6wWX0TbTJtVBfqckAdgOFGfDx/pcW2luMOVXMF8ATnJNEcQ7BmuWFx/YdPXM6ztfJY125/YV/b81XPzyTp+sEw74XHz8zQhdk0HdwaWRXMxxgfODxBC+kcfT1dYBBsd5Da4XtXwMuAUTlI7QXg8Ng7HrP/1ksTDONu393N+bGAuYC9OBfnLCc2o9p+wD2v4hrs93ytfVMt/xiFqZJZnWMHEEmASAb7nOMxfEQAXJhLcr4uQCGgYTZvZdAWERVgGlwcTZ2DSIREtkCPnZqmc7MpdohOxLPUE/ReAXXxRcBENMNgF3EeiDdAJEGtewXHILNZ7UMUFUOhLvyGI9jn0thZimJfyHwNuF1WcTN2rAJRWsXHANDhdn77TUN83afPz9MjJ6fIoZkU8rvI63IyeL9tTw+vpfpbg2gBXAy5tPj87oMDPKc8jniWYxb0EmmFE9guOGvhfgYpxTziY6Ng0JyRZ7CKEmy6oVFX0McwdT6Zo3xxMe7DNVEoDAkY6AP3icE6IO+Ve8bv1hh0e11FdtnCoYu83P6IjxZSuL51nOopsDauiyxdgGYAZjiVJQpBJBKJRCKRSCQSXfXQ9r777qPf/M3fpJ/7uZ+jr3/96/SBD3yAzp07R88++yz90i/9Umt6KdoUWi4Aald4jPORm/ntk9N0ZjpBIZ+bXr3bco3qupUBuh6P569Hsa3lzKUCYYBMdG6OoRMcgAp6rXZd1jvPtjJf1ekkOjKyQGenExw3MNTlX3XfMEYA22i6wHAYxa/sDtJq8F3Nob0AXEEvcgYpS9Po6GiMgR6gITJJg0Mujh64/8mLVee00bVa7T1fDcraISmKqz1yYordnYhTeGOpmBKcsYDmRcB7l6MEfeN0btbaI4CTAH3jsSzDTPA+FMwCDMQYcV30/ZnhOXbJAire3B0oZ8jWG4N9DZCn+82XJsnpIAqiOFihyG0gpzaV10vA1kVbIpYzd2zecu8iMxZm18GIrzyvL9/ZSUdLebUA7SjwBucugK39bw0iLlC8Ta3ZeOmxd8BfOHaRK3xxPs0xB8cn4gySS9uAnbSAxbqhiq5ZLlmA2Pm0zvAV/WdQqzmoK+Dm/mRt8QcGirSpf1e4cLHlUBzNLpyLGAVEQnhzOsNX9G1vX5hPQrFD/AOxDvhSxOdyUCpfpOlkoeF9JBKJRCKRSCQSiURXBbT9i7/4C/rc5z5H733ve+nv//7v6Vd/9Vdp9+7d9PGPf5zm5+db00vRptB6Q7VmgSScf/9TF2kmnqN0QaepuFVtHa7Ru/b3MxhZrmN1o6rWXFaDesoFCsjUG/YxsLXP+2rXZT3zbCGMEVmtgFgosDURTdNkIkfoBQpH4bHyen1rBITi/a+XgC0KXXX43bzXKs9FrEHluXaYiPgIxAjs6Qtxn4bn0nxNh6ZRwO1k0IeIgFpzutRaIYrhMw+f5i828MQ/ANxYNM3AsFEYjzHBEXtiIk6dATdt6woylLWPE/EJ6vl8wzDoxZEodQc9dMvOLgp4nAzQ4c4FjOSYgrxeji2A27Ur6Ob+JbI6O2FjaZ3HiM/j2QK/D7gbz+C3wf1eClzbvwABKEckQToPN6jBLttDQ4Ct+NtRpN29IXa2mobJfz9imTzFsxpDWcBTgF4lO4xFpMNsIsfOVDiKEeOAfFy0t7XTVzdX+JW7uulXv3KE4fw1vQGaTeS5LyiAhvXc0uHnsY8tZK+IJsBrQNV0wSS3o0hzKcRPWCDXDnmrmV4BvmHirYStgLimftkZP9jhp8l4liE9+hPyuWg6kbOctEVESciD/CKRSCQSiUQikWiTQltEIrz61a/mf/v9fkokEvzv97///XTbbbfRn/3ZnzW/l6JNofWGas2Cxzgfzr6I38VAIZkrLHKNbvTIh2bMZTWop6Ah4BIyKxVkUnO22nXBdeCaROV7zrUt5Ymu1XqgnbceGuRxw8UKN+C2Lj+9dm8fQzZAMeTEVsJ8Bf+4ONdCmnb0BGtCa5yHSAQ4bAFsu4KehmIMKgFjX9hDX3z6EruAAQjxGD7mLZ4rMLjtC2u8Pv/5jXv5/MovIZZaKwDb/zg2SXqxSLGMTjOJPHX4XTSykF7kDLarso9YS8Q4YN7Oz6Tohq0uhrQPH72cGY11ViDz8bMz9NT5OTq4tYP/vmBMXaVMYXtMAQqE4ZF65MUupPL8b6emcZbqa/b28BiR4Yvzwl4XJXI6A20U99rVG24YXKt5Qq4soD2cpIgccDg1uml7J0NYb6lvb7iul/t2eERn4Mn7JwfIXKz69xPzAliNsV+aTtJLE3EqGgbnx75xXx+98fpeeuz0LM8P5nEylqE/ffQsPXNhjseMWIGIz83F2tB/5M/C3Yu+YK9iLqyYhdr7HbCVM3lL8QdKtU5BHITf4+BjK4/hGAvOvzX5ywSMDVAd/ZqOZ8sRCRKB0DqVfPcikUgkEolEIpFoDbVsaDs4OMiO2p07d9KOHTvoqaeeoptuuomGh4fJtFccEYnWKDe13eAxzsej2HDakmayk+/eV2zfEAXHmp0tXGsuq0E95fQDqAXsQr7qqakkH4/3V7suuD5cznhSG22jIBzce2uxLmpOkRs7GPFSZ8DDeaIAcxxHUDSvcBYrKfg3PJugabi380XqCLgZmlYbIzJsK4t4KchYC6IizgPucBUjsH8wVAo/tZ6L50fjTZNyBZM0zaSpWJaLeaE9VTQMa4rfdtd0rbXCPACO7uwO09HxKEO4m7Z1kstpudAbzYeG4xMQD47T8WiGQaR9nAVbHAkiIzDn2zr99NTwHLt99w2GeS329AU50xZRB9gjcHJirEOdfnYVb+n08T0MUPjn3zlLh0eiNBHNlqEpHK04D2urvmzA76W+ZMA8waWL6zo0xAgUuShdYUuEox5U3jC+YED0QsTv4YJcIY+Lnanoez2nNNp++vwcRwhopPEa/tvhcR4T+hv0ujjn+YHD4/TCSJSyyNUtxRPAiQwgbWatrYA4Bo2saIOcrrMrGPvWlnxQU438lwFD3mytkmQlaGuaNIGYCodGE7EMg17AblHrFfAIthWJRCKRSCQSidoe2r7pTW+iBx54gF72spdxnu1HPvIRLkz23HPP0bve9a7W9FK0KbTS3NR2g8d2RydgxZ37+zdUDEIzs4VrzSVg1ZHRGLsfFUxTrtdaLs1mQP31iuCwzykgIh7Pv/vgnivgar0+I9s0W8hwvmc8q1NsqNDwfbQUREVMAb5kgDscv/FI/f6hSHmeLs1n2HEL0Icv50zSrGzeJVzT9YpxAWoCvHmcTo43QJyDvW+VXx5UQlCAyWhFFIR13uWYibsP9DOYRz8sSJ5hYDsyn6HtXX5+bc2xxo7fXNHgiIR0rsgZw3dc28fXggM64HHxOGeTWbo0l2aIiO8p4ZTFnMOBDLCqvmwAwAUERpE5OMfRPkAxYiXUmJALDGf0N49NsGsUfzAAIWPpAu0bdDFsxT0yGctxOyi65ne7yOnUOEIEsLnauqsvPuCKxRwBuCp0mskbdHQsRrt7g3T9QJh+cG6WTkwmKA9qarPEIhbBKnsGKG0r9FWKOkCOLcB5sBSZgDHGczoVCkY5sxZSl1zOV7qqQJk98xaQ3+lwUAbOZwdxDrR8Tbx2ciGEWyQSiUQikUgkErU3tEWeLbIBIRQe6+npoR/84Af0jne8g37hF36hFX0UiTYUPMb577l1O/+0m/N1rcFmrblUj/FfmE2WYZp6LL4WYFzOutSas7WI4KjWdj1n8VJSgBuPgZslByQKYdldlkupIeCtlRCYZlLAawFUNU+ArOemkwzgAEFRCMpVcuIuNbZq8/GRu64rO2539QTohm0dHJFg71slDAYEVX0CDEURLjhskd2KWAE8sn/Hdb0MV7lYWKePoapq9/2372Rg+qVnRxjYouDdU+fmOFoB2bUj82kqFg3qCXs5rgAQ1f6lArKI0ReM3+tyUNFwMlREtizAM0C3mgfAUmTVom8o4AbHLlzViIUA2LUDbjijZxI5enFkgeEq5hYA9NhYjPN6GSLnUVxMY7iNQlvIukXUBqAvAG3lPlcwGEDWSpFdLNUGAPa5mdTl4mA2Corl1VTkQOl9s7RN4LLVNEQ6WDEFuH8B89E2zsE6XW6LKOxzc3uNxhcYpTZwPNoAxIULW81FRVdFa6BMXgq7iUQikUgkEolEbQ9tHXiME5VZSrr33nv5RyQStb/ztRGtBdgE3OkJeTlftBWO2lpzthYRHNXaXs2cKsB9bNSKddA0B+GhfLvLslEBdOFRe8QhjMeyZdAHNzjycgEmVZyHgp/oKyAgCm49cnKK3ZXdIS8X/ao3tkVZvNEM7ei2jlNr8YkfO1S3r5UwGE5aOJQBGV+4ZAFJZJwaJcAIsGePu1BuU1wDkQOYQ+w5AGhARhS8A0iEbxhgNpMv8uP3cDQDV6ayOoPYroCn7MjF+DB/cJmG/cjQNcntAsi13LbDM0mGjJfmUtwpxE0gpXUg7OMcWkBqFAWrBNwAsJlCkS7MprhPe/tDlMoWKJ1HXq4FKdEmPhscCNP//103MLTHGP/1hXEuyoUxfOX5UbrvvS9jOA04jNgGr8tFReNy7AH+z7dpGDQQ8bKDGvOGPOGZVOEKcKrAaPEKmKsx+FXrnCsdUCjqfD2VS4vfVoTGAB0fTzCEVjm3SwmHYe59bo3mUwVyAtqmxV27XspJfTeRSCQSiUQikaj9oe3evXvpp3/6p+l973sfXXed5ZYSiUSt01o/0r9W2cLNcNQud87WIoKjWtsfumP3iudUAe5bd3WTXrScpshlreWyXAokP3J8ksnbrt7LBc3uuXGoHCOws+JaCr6iMNdbDw6yuxVZrih2hfbRj2pjU21enEtSLK3TUIef2290/1buD4BMlXn870fGOYIE/QA8xFz3R3yc1VptHRBRcGE2TQe3RriA19ZOP+fFwkH7/TOzHLHg97gokS3Q+ZkkhX0uLtq1rdsqFIc+AJICGnOhvKEC58HC8Tu+kKFTU3FKF4rcpy1Fg7Z1BRguImc3kcvQ4dEFOjjUwcAYMBVO3EuliAc1h4DKw7MpBq2IL4BzFeO2A1NAYhWxgLnAGIdnkzxuwzTo6fPz9L+/dYrnQo0dx2uaiwEwMCoAs6lpFMvq1B/2lmMNHBWe3Eo4agFYBxcomysVaFOxx0rsjDWtYwH34bINeZ0U4OgLnTN1l6hfxsLOQ2YvMnSRLYw5qWhKtMZSkRUikUgkEolEIpGojaEtIhG++MUv0u/+7u/Sy1/+cga4P/mTP8kFykQi0cZ0vq5HtnAr4fBaz9lSba92TtU1cZ2dPdaj8QB3jTqw7QDz1KRy/zYW1VCZx4uYAnt2q71dexQCCnsBEKKdw5kou0HR90bXQu0HOGsBHs/YCnwhJiCaJsuJqpsMSyvX2b4OAJMo3raty8+RCDgPABaRCdATZ2epL+yi0QWTi2sFPS52FiM3Va0jnM3VxgnXLwCoK1+0imUZJg12+thhjMJiyLoFKEZUwp37+unGbR306IlpBucoqIW5hQDmAUHTJccv2oeLFyG3yLkFVA15XeQrOaDVGBGtAJiPnFuA2yfPz9Fr9/ZyvALAJ+D0tq4gTcYznNW7uy9I52dTfM7rr+uzinvFsjSdyNWkqeB16ArGhnUHPAaUrRV3YCqAWySOvfin50a4gJpWAsNuhxV3gHWrdg2/x0HdQTclsjotpPI8r5gDqTm2fop4JdNWJBKJRCKRSCRqe2iLwmP4OX36NH3hC1+gP//zP6df/uVfpje+8Y0McH/mZ36mNT0ViTaplgM31zr/djVaCchsdHxr5RauptW0XWt81a75ucfON+zAtgNMFBQDHWwUaFc6h6s94r8oCmEhTTt6gvwb7SAWAZEL27sC9JZDg+Wx4JwHj4xbABNFLvf109tvGiqvp9ofVsxBgmHh6VKBr66Al49BZi1A7Mt2dDFUtc+1fc6s3OQsA9uRhQxt7/aXYSkyZVVBuGcvzPMj/PzIv27Q/i0RLkK2pcPHsQj3PXqG5xKw8eET02XnMLJWke2KY354KUpjsQy/h9f9IS9HG0wlsvQ3jw/Ta/b2smsYQBaOaeTKImcXLlwASiuiwUlZ0hniIg82kSmQ26HxeJGV++iJKe7Tmw8MUG/Iw/ETcKOapsYwFnEOGDNgNdpTY8SYcc25ZI7X/sHDExT0OemGrR302Onpmo/AM4QFNNVMdstCfreDYxEAuesJHyOHFkch4gLuZERSwCGtVwG/gNPI9r00lyGXE9nCOFq03vKC0otEIpFIJBKJRKI1lWbiGcxV6qmnnqJf/MVfpCNHjlAR1po2Vjwep46ODorFYhSJRNa7OyJRU2XP8QSUueeGwaa6ZmtBxbWCxa0e31qo3lzZxwe4hcf44cCsNqfLmQvVpr1AF9yVlVEI1VTZjnLa2tuFylEImQLdtK2TnZRwZgJ8VmvnX54foT959AzNp/IM8BAp8PN37OYxVDp24Ujd2R1gwAk4um8wzK7TZE5nEAgIWrkXOcYgU2C3Kc4FrPyXH45xgbHbdvUw6ASQ/fCd15bn6L/+4wt0dCzKTtuQ302v29tLH737evrKcyN0/1MXOaPW43LSFsQPeFDYLkhffvYSzSbz1uP7nOdqctQCIgHm0wV2G1vZsihYhuxbF71qVze3M5vMUTJXpL39QeoOehl0j8xnyONyUEEvktftYigL9y2uG8vo7KZ1aA5uH3EVgNWf+/55zrR1ahpt7w7QNb1B2tMXYqiuxqjm5W+fGKazUwmGw1nd5H6i/WNjcdKX+K8BF7KDHRpDaAVYPS6Nr1NLOEargLN+l0Ze3gvIDi6wg1Z97rNdr56bV7S2wmqd+1/3rHc3RKuQ/PevSCQSrZ+u+fUH17sLok2mC/LfbZvXaWvXM888w1EJX/7yl/k/Bn/iJ36ieT0TiUTLBoBwQbYy/7ZWga9mFkurBzXXOt93pao3hnpzVSuHtdqc1nL01mp7petR2Q7yVxHNUN31G6IXLy1w4S+ASzymjwgCHP8X3zlbhqhwlT700hQDW8BOPG4/l8oxaAUkrubYnYhlGGhu7/IzNB6MUNWYBrh3P/+DCzSTzHEswZ7+EJ0O+xguo8Aa5h7AttJljOJsJybjFM/oDElROAwwGPP5D09dLGfdmqaV/zrQ4ec92Bv28vEg4QCpyMfF4/zIvAVkxfeicMDC4Ax3rW4Y9MiJSS48huMAoXuCXgp4XfSmfQMM63EfI8JhS4efrhsIczuIQQikchRLFyie1Xku/+3IOL3t0BZ6/bX99PTwHAPsXNHgvGGA4mpZ0V94+lI5vgDFvpALDIAf8iGj14pm4AxZjSiv49+Yfjh4TS5i5nc7KV9EPq4VV4Bj6uXUqvPNUtgtMpERTXFyIkHxbIGL6tk9nHYALMC2fdTeX8eLRCKRSCQSiURXp5YNbVUswj/+4z/S8PAwvelNb6Lf//3fp3e9610UCoVa00uRSFRVlQAQLkiAmtVmudYCf3gN5yDA1MW5FMM1fNYITG3UjVsPaq5nVu1ytBSYtebQYGfqt0pziLkY6vDRIyemOHd2Ppknv9dJU/EsP2YPoGlXLRDbTIBerR2sI2TnaWpdMC4PHpsvGKVIggx95uHTDFdnE9lyNAFiDgBh4cQtGICaluMTINLu2B3q9DO4VVmqALa37emh0YVM1ZgGa/xTdHE+Temczo/0j82n2bG8VEG4b5+cZgAZ9qMgmRV3gM8xn+grwDKALqCmaVrpqoMdPvrpV+2go6Nxenp4ns+djmf4/NlUnoHl7t4QLaTzHCUAAU4r0AmXKuDoyAL6E2IHsWpTgWtobCHN2biAwwC2cPwyCDWJnjo/T9cNhOjg1g6OW3j87CzvGUDfgbCP4x4gtce8LsshrYAofqGviF9A7m8mX+QCZUGvkwupxbMWyEVUAYqK4Vzk22J951IFPh9RCenClYmzcM0C9uL8bd0+6g54KJkzKORz8/UwpxhDI1m1AOWYzyrNNF2NFEsTiUQikUgkEolEoraDtvv27aNXvOIVXJDs3nvvpYGBgdb0TCQSLalKWKoq3K82y7UW+AOce+T4JLsYydTYsYhjFbQ7N5OkS3MpKugGOyYbdZjWG5MdAG+EfF+0C+A2PGu5nq3Xl6EZz+GJKZqJ5xBQw8AO/cRcAOAxxSq5DAFui0WT81WDnmg5U7XeWFrtRq62jvZ1AWDFI/Tq8XwFV+EyRTyA2+ngc4HGnIhQwP8YRNcOhNgpCjiLHNxnhufpuYsLNBjx0c3bO/n6ozmd20COKty6gMGVAB/Akh2jpcJV8+k8O0/vPjCwCEBX7o98EcXMdHaZIq5hABEIbif3H65hRDEgWgHLg/aQUQsYGfC46Ld/9ABfCwAeex/nDs+m2YX72uv6yvOCsaFd00N8PVwLjl6AXRSXU8AW8wsArhzG+N0f8dEM2kSxM5zn1Hi+OgIuhozoE+IjhmdTvI/QznQ8x8XQzkyn6Onz8wyPxxYy5Pc4Gc4qcIvVwJh9Lgf/hkt435Ywz2O2kOWYBriMrx8Is+P31FSCEqUAXFwCc1fqLs87fgPk4u/RDPawYdBcssCfveH6fp4f/J2YS+XLUQtLFcFCG9ahrcepAmxFIpFIJBKJRCLRhoS2p06domuvtTIARaJ62khFsTaqKp2n9gr3q1mHWuAP5wJIAqDgUXi45fAZHoF//uIC/eDcLAPGrV1WxmmtR//rwcR6btrlPObfbMdpo0K7cEgCHsJxChCGHFMFZstzqBd5LpD9quYCxbJ29YW4uNZXnx+lnE4M2ADS4FrtmkkuGku1tW21G7naOtrXRWXgqvYVXAXMBKCDaxjvw1XMzlyXgwt73XpND+9fRB0AaANM4nM8Qv/iyAJd0xtioG0aJkcdVItpgAAEEXMAZyqgKkAxoKSKXlD7v3J/JLM69wvn4NyuoJuvF88UOLIAWbboP67XH/HyMdjrDx6d4PWEUKRL5clq2gxHGcAVDMiMPmPsyPGdS+b531jXvf1hun1PN/3bi+P06YdOsZM27HXStQNh3iMAndcNhrnAGKIMAMSdptU2+rWrN0Rv3NfPoPSz3zvH/Q+6EXWg830aTRU4O/fJc3m+X0Ek4dINeJycp4vz3C4n/15IF6gr4GbIHc/kGarDDVvM6QyZcc5nf/oW+m9fepHOziRJI41dwygc5tAs8BvyOGlHb5CBMa6HdWewqxvcZwD499y6nR4+PrlkEbMyUHZaRc/gtIUaOU/UXJWmXiQSiUQikUgkErUztBVgK2pU6wXNNhOQbsR5upJ1qAX+MEY4AnE9OATVZ4BnAHNwKRZQ7d3EsZdhZL1rrmRMjWi98m/RLh7px6PsALd9YR87R1X7tebQPkdPnZtjQAcIlsTj6WTSNi5ItngsyGG1F8gCGHv7TUNNmb9aex2wtXId7cfg87sP9NOl+QxF03kGfX0hDxmGwRmuvUEvf4498vCJ6XJBMwBb1dcvPTvCzlsUDHv05BSDQxQTg+t0IVMoz2O1fXz3wQE6MRHjImDYj3CIAmQiMsGefQuIi8gGOIABFtFX9AVzjvaiaSu3Fa5T5L0CFOIzCGsClzSu/9yFeYbzKj4ABcXwflfAS4eGOqg35C2vA9Yr4nMzmAW0hQMZMRB/9b3znCurWCSKisGhijU1CQXDitw3RA1wrEApCBYRCEMdXl5zzD8cwegjIhgwvwCx47EM7wtI0+HQdfCYgz4XzyHiKRxk8n7Fa/xMJXLsKu4OuK14gxK0QyTKX39/mA4ORejMdIJhLPqDdhC7gHlI5nWajKZ5DnENlWaAdjJ5nSMysF8AdHHMUkIUA2YdvDmrGwIP10nyfatIJBKJRIslxcVEIlHbFyITieqpnYtGrRa6tguQbsR5upJ1qAdOq312uRBVkA5nonRhLskZnXYw2yiMXU3RLLtW4jhtBoxX7eLRdcC5SMACfo3MhR1aooBWb9DD8Qk+l5O6gh4eCxyUcE4iKuHbJ6bY0djhd7E79Tsnp9nFWJlBC4fpavb6A4fHaSGVpwcyBbptdw/dtb+fIaPqe+X9AFcpIOyDRxP83vBMkgki4DXG8H+evMiOWEDL7qCHC35VFkxTBcMALkEg8ei/KkRW6eK2654bhxhYYi6sglsmRzJU7n/AUgBEOGfhoEWBLfQV7tGsrtNkzIKLmG/EBOA4CPmxYZ+HJuMZmohm+HM4QQE3ASG3dwVob5+19yvnGuAYoB5wF6AUcwAnMUcI2Pgl/onrhX0oYAYYWqTOgJvPBdDFsYCkbof1WuVNI7sX8QmnJ+OkOa2ICoBWvqZpRW6gEFrYgbUI0sh8mjKZArtksV8BUtFHRHIAWU/E8+U+weELd/GT5+cYxuZ0s1RIDf218naRIYy+MzDX0NbitUnmDZqMpel3/+04TSH2YQmhX+hzKo8sYWsM6BfaVG2J1kZYe5FIJBKJRCKRSLS2EmgrapnauWjUaqFrJQg9N5NaFRhrt3WoB06rfXa5EJWD+kJeBldvKWV0NnLNVmgljt1KQInIh4+9bf+y1lK1gz0B9yZgmIKSS81FJbTEHgP8fsN1vXRyMsH5qnBSsos1U6CJeJbBIqAtnJ9mi/Y65gPtAR6i8NUrd3XTh++8tu4XA+iLeg+F1agEIkfn0qSbJmfCYq/8/163+4r+2NfudXt72cn5z8+PcnEsuFinYxn6BkcwXHm/4TfANX6qxTWo/R/xu7koGvYsXK8oksUF4FIFdubCofqpb5ygoMe56LhbdnbzeuKak7EsxwMUikUGjAHDyfu+1vwiagHgGddJ5QzOhg773FyIzS7gMYBggFDAMriVEZOAwl7qUEBbFH0D1P/P//A893c2kWMoi5xdozT/gL5I91UtAKb2BD0MrZEpC/CKzzQusGZFHWC+K7rEMNg04fK1IhdwbTiUcT5/ZsuCVXnC1fT1F8e56FmjBcUAbYs63MAWxEXfnJpGuiDbNVXpOwuRSCQSiUQikUi0hhJoK2qZmvWYeytckat1AVeCUMA55SqsBGPrHaXQ6nWobAMFn9oBWq8EElcCyifOzpWzaFvZ7lJrBsiH+Ak4U18ai1FHwE03buvg7NGJhQyDLADQO/f3t2SvP1CaD6/byYWvKq9R64sB9Z7H6WA362OnpyldMNi1ChCJzNV6/QGWQ+Yt5uPIaIzOz6DIXYYdzHPpPDtP0QbmB3r0xDT/ftO+fo4MwFrY53JLh4+PhUsZABURBgDB6DPcwwCzL4wsMFyGOxoA/4atHeXj4LidS+Y4wzaRKzBABxNl6Mk5uJ4rsnPtfwMAhXGd3mCAZlM5Ggj76D23bKN/em6EnruwUAadLg25rSgCZgFctHBpXufoERiPC0XifFiA5/lUnmYSecayKC4GF+8rdvXw9RNwevtcvHYYD6An4hlcTiefh34jPmIhVaB4EY5kjeMYKoEt5HRqdOs13Tzm6cQczxEDX9OCqfakAzUOCxcvVlY3CS1zzb0qa25//4prlsiwANu1F9ZNJBKJRCKRSCQSra0E2opaplY7K1fjIFzto/NbO32LHhGHAxKgrxoYW+8ohbVwuK61i7ZVagRQ1oLwjcD55QJ8hUng2lX5q3jcH5AN+6wn6KUbty7OTW224x3XhOMYABvzAYBZeQ0UBcMxuA9QeAyv1bgwf7fv7qY/fuQ0A1sIAHd4Js2QExC6EnJWu2fszlg88o/ICHW/Adai+Bucq2RqpVgFx6I9ibk8Ohbjgm5WnECKXJpGXqef72VAXpxzeirBDlQAWodm0snJON21f5AGO3wcS/HsxXm+PvYIhP4gsgHuYQBhlZ2Lf+MzrDWiAF4YidF4NM3uWdMg2jsQoh85NMjHwI2NueDYgULRinUw7HtAo2wBhcVse8NEPrCH0gWdIx0gdvt63BTwOqnf4aMtESvW4MJsijNocR3soVft6qajY1GOVuC82xIprWemxMoA9MYyeTJMK1sWHI9PrcHz+In6Kp+ZJedmtUhbQYPtKWG2IpFIJBKJRCJRm0Lbj370ow1f8I/+6I9W0x+RqGGtxkG40kfnK3M71SPigE6np5JVwVi7ZPuut+N3I6gWoLTPHZyWAH8oUGWH8I3A+UYBfuVxqoATHKpwWO7fEqmZm1ptTKtxWuPaiIhAn2pdQxWiQz7tC5cW6De+epSLram+4f6IZfRyESnwSDAgFFBDsbbKjNpq9wwKkX3vtEmpXJ5BJwCrut8AAOHahYuUStdV95l9Lo+NxajT72bHMtYRsBQwCtdSrlys/1eeH2UwiXYw3wvpPP3eu25ghy6c2EU8/48IAcM69/otEToxEedr20EyHu1Hu0+enaFoBrmsiBIgmklm6fXX9zHsRN8QceBxoXiZj6bjWcoUDAbGPFfIdM1ZRdGUAGf9bqtCVyxd4D7iSwaM65YdXWWIDyD7zZem2BWMthjmhr30sh2ddGhrhP7ye+cYIrPD1jQplTdqOmCzRZP3ohVRoFFv0E2ZQpGLgyEiolJYE3tOr11oY0unj7oCHrowm+Ss2wZqkvF5qn/CENdWko4gEolEIpFIJBK1KbR94YUXFr3+4Q9/SLqu0/XXX8+vT58+TU6nk2655ZbW9FIkqqLVOAhX+uh8NfgKoAdXHRfe0a3HrO1Qq12yfdfb8bsRVAtQVgN/B4c6Fu2DRuD8UscoOIxCZHBc3ranh0YXMhRNG4tyVW/e3kkfumM3H4sicPUgfDNc0EtdQ40LfYbbFQDVDmLxecjropwOl6Z1Dh7bx6P5Po9VAMw+F9XuGYzbMAyONUCuKoqaYR5R8AxwcvTJy07bvshlN7B9zuHGBeREYSscd01PiCMWVNtq/Q+PROnsTJL7hxxXrbQ2AL34sTte0Sf0BTmxgPl2kKza/d6paY4ncIKzOix3LsDqeCxbOibEbXK/NI0/zxfRiBUu6wJUNUyGoADfuLYqVjbU6afxaJajH95/204uxIa+fubh03R8Ik5jC2l2DgPMYt8iCxdPCLz/9p3lnORdPUHatyVE//L8GDtykVWLdeIf2zpbhd0say2Kp3ldmJvqmBdj5SFUCP3vDjqp0+9h6IuxmqDfDcieyyvOz7VV0KO+chGJRCKRSCQSiURtBW2/853vLHLShsNh+vznP09dXV383sLCAn3gAx+g173uda3rqUhUIUAqwBpUicf/Ew+oA1ixEvdoIy7UWvAV5z10fJrhC95Xrj17P1udKdvI2BgE6kW6bVcPP97diOO3nd25repbNUBZDfxV7oNG4HzlMUOdvkUF7LCHsZewTnDW0rk56g37aN9gmJ2sao+hENZKITzylwH0VJTBR+66jjoDnqbcG4gtqAZD8TnGABcuXJW4XwFE4RDFPVw5X5VxCyh89jv/dpwfz8fT/MhkRREwAFuMGX3Eo/hwtwIhvnHf5S9O7HMOJ27Q46KxhQwlsnl65vwMhXxujm+wr/9P37aT7n/qIjt2PS4nXw9zACiLIlh2SJnOo6iYfgXsx7gePjFdzvS18mKtgl94bc/9xWcAzUMdPoa/04kcTcVzNB3PMNhEH3C9Yk5ngOt1OWlHt5+u6QW0DtG5mSQXA8MaoXga5hn/RtE2QG7++2hqNInCdfki9YU9vAeeODvLbmMUhXv5zk4e9z88dZFBr6kRZXJFStWoGAZ4my2Y5HNrDGixLnbZwbZdOCydNxmKYz4AiHleGsi4hcsX6LCWg1fUOrGzWyQSiUQikUgkErV3pu2nP/1peuihh8rAFsK/P/nJT9Ldd99N//2///dm91EkqirAFQBSOK4ArgC74NpaiauwEQBWC74u5Z5c77xXNTa4IBkE0hz1hnwNOX7b2Z1brW/KFdtskGsHf4hMODR0ZY5sI3C+EkYCxCngb43BpNlEjmFb0OPk/FHEcOA8RBDYrw2H7UpiNwDr/uPYJEctnJlK0PBsigtM1Zqv5dwbKNCFLwQAFu0gVsUOIELE6bRoHty4iHl42Y4uhq8YowLYyIA9PBoj3TDohRGd/vTRMwzLUYAM7lLk2wL6oj0U/oplCvyePZKhsm+YH2TSjkWzXEALhZV0wyTd1OnoaJzufeVlQI1c2pdt72SYjb6p+UYkxlBngM7NpsoQESwL61l5n+Na+PuEdgG8vn9mlvvp0DR6U8mNj2PUfkB7AOi4DvrwwIvjdH4myccks0UueOZ3OzlbF0XcbtjaSbOpPK89fuLpPL04skDJXJHjG7C3nA4HA0/L3WxQUSfO3v7z75xlYO4qfQ6pOIdt3VaRNMBet9NJWsGCqjUBbMGKVLCrFoC9PDfom8Zg32RLrnWNau5Z+1uVzl/R2qkSyotEIpFIJBKJRKI2hLbxeJxmZmaueB/vJRIodCISrZ2alRdrvw5ca4BBleCvFnxtl/iDpcaGR+3h3IRLDyCwEcdvu+TxNuocbhVkrgZkK+FmI3BeZb8iexS/ZxK5xfM7m+JH5gFUUazr+oFw+ZqV125031U6ZfFIPK6/tSvARbcQ98AFwWrMV71YkEpADvBqd/HitToO78GkCvAIR7HLoTGwBaiEAGzV2j15bpah40DERzPxHD2bX6DrBsNMA8/PpNjZCeh7bCxKL4wscNGwPf0hhsI4z8q7vdwvNSZk0gJaomgY3K1wtULDcAhXAGrM6S07u8rnqvmO+F18LuAxQ1ung8eCa9f6e/GV50bo+ESCQTNcs7fu7C7DWUBk7OPHz87ysTds7WCH7nMX5zlvtpwBbBAVDIPzacNeF3UE3PSq3d28Htg3mA9EMOBagNKAbIDe6nwVS1HUDRpbyBK2L3Jwk9kC/+BLCERVbOv00+NnZiiVL5JLq51xa1cth2ytz6zxmFTI1bDjVlyj1nVEayd8YSESiUQikUgkEonWVsv+r/B3vvOdHIUAx+0rX/lKfu/pp5+mX/mVX6F3vetdreijSFRTzQKm9utcAsBBrqSrMfC3XvEHjcYDqLEhGxWP2gPYNgoy2xFI13MOtwIyNzOGobJ/eDQc86rmF5DS6bQyTQE28eh6o/vO7lS195Ndm4fHuYDWA5kCu2DhssQj8ACcKEwFUPfU8ByDcHVtNcZ6sSCVgByyQ2lAakitVzRdYHcroGsqp9H3Tk+Xnaz2uXlmeI6PY2kmF9ACkNzRHWSUh/6ORzNlUInfyUyBs2URl6Lc9+gX5hHzqYrIAfACuhYNPKaPuAEn7e4N8tx94elLXAgMUQUAn3Dx2qHzYMTL/b1+MMzXBnTHtWaTWQbgtf5eAMTv6g2W1x2ZshCueW4mwfOCQmD/cXSCfnBull3DKPYFwWFbYq9U0E2aSeRpIVWgsN9N/0+pEOKjJ6bYjQt4DJhsjw/AQ+2V8QO4HHipbsDBa/2tA1A+PZ3kuU9kdS5cli+d0Qi4tcuNazqJ3cy1ogycpXHVM3AKqG0f9Ye8690FkUgkEolEIpFo02nZ0Pazn/0s/fIv/zK9733vo0KhYF3E5aIPfvCD9Id/+Iet6KNI1HJgar8OQBpARqPgb73iDxQ0AzR65MQUu4OXejx8uXO03nm8y3UOY04qAeNqoWsz3buVAPTuA/0MFNX8AiJ+8elLnJFqzz1tZN/Znar2fmLcALZwmAKcuk0HxxIAiu7uQx6pxsD2UqlY2J88eoYf2UdGK9rAfFlZu1M0FcvyY/vPDM/TWRSsKprlYmkYAyBbJTRX7+G4sWiaH98PeZyU0Q1K54rlgmWYmyOjMXr87AyDR6wr1Bfy0r2v2E4Bj4uvd/eBAe7TR7/8Iue+elwmg1gU8aosAIY+qMf+8R7mdWunn64bCNGR0SjDU7hWC8UiPXB4gqYTWc6txW+gyqDHRV97YZS++MxIOd/2Z27bSb/61n30j09fpL/83jmOs5hL5mkw4meQWu3vRS3wjcxazLvi0yjsBWgfy+gMNfF3COgS/xuv8S/DtBy+JyfiPAddAQ/NJLJUMACvi/yZorQYN7JpAXMBhe3xtDgMXLg35GGA/cyFec67jWWt/7uOz1S/VOEzgNxaIFXBYQgQ2KkB2FY/Gn1E+3BEZ5d47p77WQLNovUTnmYQiUQikUgkEolEbQ5tA4EA/cVf/AUD2nPnzvF7e/bsoWAQDiiRaG3VLGBqv46CX+3kLq0HL3MFgx8hB1RSAMw+J6uZo/XO462mes7hapB5tdm3zXTvLhWzgMfomZZBGkBb49eu1U+M7+vpAs2n8/y60+koxxLYoyYAbOHuBNhFgSq8j3lF/wCWATixz3BtwDxEC+ARelUszV5YC8cApCJDFm5UAB84V/sjfuo3LWeslinQ7r4gO3/xhQOKq2EPR1MFdtICQsI5W+2LCOhN+/r5uhgD+nddf5idsICux8ZjdGIizudsifgYImJcyMUFDFdFw9S+ePbCAgNHOI8x++ir3+PkPfalZ0Z43IhFmI7nuFAXnLP/8vwIQ+z/j703gZP0LMv1n9qXrt63mZ59SSYzyUyICSRAEgmBgIC4gIKooAgclgP+AUUQlYOiHFEDCAc8yOEcoyIooCCJ2QNk30hmyez7TO97177/f9fz1VfzdU1Vd/U20zPz3ue03V31Le9WneH67vd+xOXS8x49PCxbVjbLTZs7znpQgAu6ct455vEjozqW9jQD0olHAAJT8Cy40qPH4cTtn0opdFYoS1RRKqcZtpzD34DWsFcLtSlodQBXlw1dXe5yXAIPegC5zDfF2ShQFk9nFUoDcG13rNsRreArRXbUEu0qlO7HuqjMubXV3uDTbN9cKe5hNiksnvUoo6VWulrgsJGRkZGRkZGRkZHRkmreIWX9/f36dfPNN0soFFIXj72d08houWg+Lst63KW1rruYW+nrhZfHRqKSzOakIe/Rbdps6a6nrctFc22fc35WNgfVBerME60nk3Uu7tnFjIiYDYLb2+jtuILvPderbsR65qxWOzn3O8+eVjBHli0g1RlLYLfnC/cfkvES2AVykn0rpbgFXJ2pbE7BJW5OclGJQGgrWo5Yu1ja/XsHFRDiVrcBqra7WNQMU1yq/GfiwX1Dcmo8IV6Pe1ocCce3hH1y42Wd2o/NnZGa4/Wqbd2yu3eynJ+7dWWjPHRgREZxFSey0hAgeiKv955IZCxQLG4FvfZ6s9fFrlMTMhRNq9MVCMrrbQ1+bUs0mdWIBpTM5qV/Mqm51yOxjDpJAx63pG0/rP53sD53Ng+HaGtl9ivQdBDnbK6gY7epM6LFy4Du+YJbUpmCZvLiyKWtGS2oVpBkBhg+fYyYC5zErCEKmOHg5W9FT3NQhmMZjUGYSmUl4HVLa8inrxUKlrOX9jB1xCjwM+5nW9XiEmB63M8+rFgjNoG+8L0cf2F0QWhFs5X/bGRkZGRkZGRkZGS0jKHt6Oio/Oqv/qo89NBDCmkPHTokGzdu1HiE1tZWzbo1Mloums/W9nrcpc7rss2a7eTtkYBmZlJYqCHgWdRCWDPBy288kpRCMa1Fi3DfTfZka7Z1qds0H821fdVc0TOdWw1mzsU9ey4jIuyIgLv29Kurs6spoHm01fpVbzsZr6vXtGh8AA5HtvM7Ywm4rg12BwG7XrfEUjktUHZkOK7jhEOVsSNTFRcqf/v57nQ6MxcU0LKLeOH6pHgRY0wEAwD2zdet0Xu+fkePzjttBRLacSTcZzKRnRGQ25Afdy7Hr21vmFbUDQDZFPRqvzUyIVdQlyBt2LG6RaEq5yLOt/vDWBPFcGwkrkARYNsaDsgV3U2yu3dC21MEzbrccnwkrk5VYK1dVI2c2w2dEe0TD05OjMZkTWuDjMTT8s0nT+jfCLJqAcyMN7A55PdKImMlxwJCaffOU+MaZaFMsyjl/NtIwKMRDGPxtLYv7PeI1+2WorcguTzO23zZHatyUWjMLS63S65Y2SR/+2vX6JgQ9/DVHx1VQB8uFUxb0xrW8ZlITkjKnZeg263xFU4IbLtoiyVXbTXT7QxGXBXuaaI6qpk2aSswN5nJ63XsWATjtF0eckJ7IyMjIyMjIyMjI6NlCm0//OEPi8/nk5MnT8rWrVvLr7/lLW+Rj3zkI3OGtv/rf/0vjVoYGBiQq6++Wr70pS+VC5xV0xe+8AX56le/qvfv6OiQN7/5zfLZz35WgsHgXLtidAloKQpTVV6XSuvHRxJy5aomeaF3Uqu6X9nTuaj3mwleAogALsA2tmm3hP3nZAwWSwtpXz3n1opMqNc9O5eIiJlcw/U4inkNuPfsiTGdTwTkqmdMZmrnOi3QVZCByZRCRsAm293t6zrBrtflkqFYWt2kK5qCmkUL2FwJnHRZDklctjyksN261eYiV1FkzTnGteJIgKRX9TRLRyRwVnE13KEA1/teGJS9A1MaFUBbcJACP4k/OKYO2LTm5tJmsB9jfSgf03E8MDgl8VROgn6PXNnTrA5foPFNl3WoyxfIHAl6FVBx7VUtQfntl6+X//vocXnsyKh4XaJQGUDM/ABZiWbgWFy4AN+I32vB52RWBiZGFXa2R/xydGRA1rSF5OCg5YSfwsGLY9ZtuWvbGnzqsD5gO+VLjIwMWxzJ+F81V9fjlkjQre3O5fm8+ySRyk1zvzJOHNcY8Mnq1pD+ffj8fQd1zig01jdh5eji2o2mc+rGfdv1azWq4qfHx/Q6aaILNAvYoyCVfrBcMS8vhN/V2mVPxAMDTMYuEJ156G4MKjC3gbTR+dNYYvrDQCMjIyMjIyMjIyOjZQht7733Xrnnnntk9erV016/7LLL5MSJE3O61re//W0FvRQ3u/766xXIvuY1r5EDBw5IV1fXWcd/85vflI9//OPyjW98Q172spfJwYMH5bd+67f0f+Ddfvvtc+2K0SWgxdzaXuu6wBlArToFxyj6lNViSmzRbgn5FNYtZhxBJfyjTwcGg2WHIyCtVlt5n0gBG4Qth7iEhcxRPedWg5lL5Z6dyTVcb7YuYI2sV9YPIBLXJSDSGQEx1/kC4rENHmALIDw8HNM4AHJpNUKgBBEBksDOWDqnTk7coH2TSelsDGq0AU5Z5/qbaS5u2dIh+/qj5fgCO9e13pxf7vPZu/bJI4dHFEwC9XB4DsfSMhbPSqiU50xEwo7VrdLRENB4CWAfkJPPHh0HVONWBXACcxv8HnHjUC2KRlHgAP7Nl65TqElbcc163G5pbfCqgxdgi3s+ls6WYTDjyReFx3xut0YvkEHLRXHW4v7taQnJM8fHNPYBB282l9RrU3zsSw8e1kghcoQbg14ZnLJiKbgfRdqmUkXJlamtSNFdlGwuL4OpnEY4eN1eiYSsuZtMZNSliosV2OxyixZQ4+/R2tLfh7t29cvzpyZ0HMnphY/akBcXMvP21R8dkZduapeVrWEdK5crrbnE+ZIT2iNFHXOiGGbLWq4Wn1CPaMtQlP5Yzuc37Fgpt27tlP/5X/vPin4wOrdyXUB+51e+8pXyve99T1paWqa9PjU1Jb/4i78oDz744Hlrm5GRkZGRkZGRkdGSQtt4PK7FyCo1NjYmgUBgTtcCtL773e+W3/7t39bfgbd33nmnQlngbKUee+wxefnLXy5ve9vb9Pf169fLr/3ar8mTTz45124YXSJaKJyr5Y50Xhc4BNRRp2CDX916fWRz6utWfuZixhFUwr9Xb+3SLeq1+lg5BoC75RSXsJA5mu+5S1VgbSbnb73ZuhqRELb+lk4mXNLTEtT1Bbydy3w51y6ZtEGvR1a3hqW3FHVQKGbk6eNj8sOdfeoa5R48fDg6HFe4t7GjQV2/WWyVpazWmcB05Vzg+gZC4srl+08ODldtt3MunG0mauSRQyOSpjhZQiSRyUlzyKefLx6MsI6JK8Bx2hnxK3DFPXzT5hWaW4u7mOJmf3HXPgtClgqMIZerKMdHY7KuPaJtpW30n3vtG7aiDwC6HD+ZzJRgd1EzbAGWOFfRSDSjOb8AWMaMPlOcjNgIIlJ6WsM6dpxLES/iJwDIxEzQEly2jQG3pHMFyUtRGnxETgQU5gKgcdkSYUBhL7sQVDZTlHQuI1euatFcYNy3Hu1dTueoo8Evr9raLdtXN2vG72OHR/TvEG5gHjDZwNWJ4BgW/mbdtbtfx/fq1a2ytq1BBiYp9FaQoN8tW1c06XqIZeJViawT1OIRny9j5RqpbFH29U3Jp37wgrqZLyBeeNEqWHL+Xwj60Y9+JJmM9SDEqVQqJQ8//PB5aZORkZGRkZGRkZHROYG2N910k9xxxx3yZ3/2Z/o7LtdCoSCf+9zn5JZbbqn7OvyD+tlnn5VPfOIT5ddwP73qVa+Sxx9/vOo5uGv/6Z/+SZ566imNUDh69Kjcdddd8pu/+Zs175NOp/XL6bQwOjdaDgWwFgrnagGqaqDJhlXEFQBv5xtHMNu4VcI/INAHb72s7jHAsbmc4hIWMkdLBV/nq2rOX3s+Aad2hiogtFa27rtv3qjw76H9Q9LdaIFG3JrOY+r5bDnXLhAzlctrIaozVeBdCuq4z5aVTQoZifVAOG4BfSG/R65e3SIBn0f6JlIzgunZ1hmfi9kc3s42k6kLluXeOI7Zrc+W/xAZBaWMTdoHqCVXmpiCU+NJktelIxJUYEt7vvzgYXUtw5wS2YKCV9zMRD1QOIuxPolDPpHW44CgUxxXKIjX45ErVjRqHAJ5qw1+r449UJd5AShuW9kkzx4fV9iNa9bb4NZYBWJKcM0ORtMyNJXSwmxA2zPjL5IriIwnrUxcyGk8UxB3LCObuhr1fGBwLJOXOMXaHOASp+wLfZMKh3H4TqYotGaBU9bdztOTCm15mIOrVwvBwd5LcFVHvUrRMMaiUMzJzlMT0t7ol2vXtupY2fP1kW8/LyfGEgqYnQI+B9xuyRet5FvGWPMUFiD6SMtG4mdvy7fx4QJvYbQIsRbLSbt27Sr/vHfvXo3dspXP5+Xuu++WVauWz38vjIyMjIyMjIyMjBYd2gJnb731VnnmmWcUvH7sYx+TF154QZ22jz76aN3XGRkZ0X9Ed3d3T3ud3/fv31/1HBy2nHfjjTfq/5jN5XLy3ve+V/7wD/+w5n3Iu/30pz89hx4aLZaWewGsxcpMrYRVgKkDg7F5RzLMto0eByJ5nvO9/lJFRlysDw9qnV/t9Vr5ucwncBErZDZX0BxWICbOR7agO+eCa+N8BZIocB2O6Xm4O+1j6vlsOdcugLGnOaQ5talsTikd7cF9WaxYE3auLAXLcHISNeAE0Kw/gCoAmmPt9VM5HmTQOtcZfZ2tzbhlR2IpBZHENeBwbQ37dTx+9vJ2+Zl1rXJyLKltTmRzsrEjIkdH4hpPcNPlnVI4PCLRZE5hN+fSphevb5WBqZQUCwWFvjiIr1nbqs5aYDjF0wCqdhyFz2OtjXDAK91NQbmqp0ldt48eHpGupqAMxzI6h+GARwu2jcUyEvB7JOQSBdyMl53Ju38gKqPxjI4JUDxpkchpUogKPM4zF1ZOLeAYly3tps28n6+Alprpm0/KWCKj8BcxLhQjBEL/5OCIfOU3rtWia73jVnE1G9rSdnKNnUCUawBf2xr81t+X4bicGo2L3+uRSNCnLluyf588NiqjjvMAzvZa4uq4mCmMVq2fdibuQvmfjxxgsfKIjc6NiPhY7nrRi16kRgK+iEioVCgU0roJRkZGRkZGRkZGRhcttL3qqqs0S/bLX/6yNDY2SiwWk1/+5V+WD3zgA7Jy5UpZ6i1vf/EXfyFf+cpXNAP38OHD8ru/+7vq+v3jP/7jqufg5CU31+m0XbPGqmButLRa7gWwlgpwLjSSYbZt9EC+VS2hMhia6/WXKs/1Yn14UOv8Wq87rw00BJqdGI3J+vaIrG0LS7EAjEtr3AFwjGJfY/FM2fXJOZXAFThF9qpdnOsPv7e7fE1nQbFaaxdnL65L9LWfHFXgCmQD0N26tavmmnA6yG0ADRCkPThLt6/yyks2tOmDCvrJdclz5b63bZse2wGkps8zOYYBoKfGkgpcp0r5rRTBunVrt/zxz28rw3Zymxl7slz1tWJRs1oZK4qMAWPv3Tuk7lIcpy/0T0kibQHc33/tFXLH4ye0LRT+euLYqEwkMvqZwl3sdbtlNGGNOeO2sTMib7i6pzwWAGsKteG8RX6fR1575Qo9F1ew/XfCBtDHR+Ia7YBz1wKb08VVLGBr/UzEAcXBrljRpFmygGHgMY563MYIuJrAgZvJl4HttHiBTE6duG/7+yf0AScqTIsfyOv5le3g/44CpfMF7bu+5sorQP/PnX2SL6yU99+ySf7mnoPqWrYMwhRhmx2ecuxiAFuULrlwjc6dAP3LXceOHdP1vnHjRt2R1dl5Jkfb7/drrQRP6aGMkZGRkZGRkZGR0UUJbU+ePKnQ85Of/GTV99auXVvXdTo6OvQfz4ODg9Ne5/cVK6pDJMAsUQjvete79Pft27drxu573vMebQ/xCpUiZ3euWbtGi6OLwdE5H8C50C371catEuQCbGeKRFjK9l1qDw9qnV/PdQF9gExcpmw572wKKCh0ngewZZs6r+H6xFVaDbjacwYgrbzmbdum71gAygHeAMG5XEFzj+21a0cvgLwAtq/f0VN1TdgFyjiOa5F9+73neqV/MqmEj4JexCtQwAoIDUSmTRTgCpbiFJxrlHbv7Z+SRw4N63FkPnNN+nwGfBdlTWtIjo3ExS1FCfp8WlhrPJGZ5o52fi5v2tyhoJP74YAFdNow9ms/OSJBv7cMZMcTWc2vtV3Ajx0ZkSPDcXXBEgMA1N3TO6UO15FsXguPPXNiTKGtPT6f+v4eee7UhPg9LoWtV1zWKJ943dazAPezJ/YpgE5mKeZFkS1iENzaLxvQImIbbAOu5sIWRUZiGdnXPyUv3dguL1rToqAch/PuvkkZ0HxjKw6B+eW/epX+XdbTmBaVi5eOLeqxMGPuDegtVrp9PS513wJh+bLnnh8535XJyX37BuVVxS4F2afG4hJN5WeNKKB9fqyxrL0sgRdGF6JOXgAPXdetW6ffiewyMjIyMjIyMjIyuiSh7YYNG6S/v18dC06Njo7qe0Qe1CNcD9dee6088MADWs3X/oc2v//3//7fq56TSCTOArO2a8J2ExktH10Mjs7zAThrbbGfDYAvhwzh5aiZcmbrGSv7fKIFgGeAQQBk5fb/anPC9XGeAjI5DpgIKMUFap8HTANa2qDxW0+fkjf9zCoFrbgrKz871a5Z+dmib9yD63IPQLDdvzdft0a/ZpPTSXz/3gG1gOIuHZpKqwO2ORzQ7NIH9w9JV1NA1raGZXfCGg+7wJdTFsgcl+MjCWkMsd1+TB4/Mqo5sDdsalenLICZPGhAaqH034Ri0VsGnPa82dESTSFf+fqA5Vg6p5EOuExxqHo9LgWLaHgqrbED9OmWLR3S0eCTRw8NSYpsXJ9Hi4rt74/KcCytEQWAz1w+J3ftHpDr1rWVx4xiaIBlxhQATvas/XfCbt9XHjosz50aF7fLyr0dy2fE7XJp0bJ8viDRdF7hMucTe0GhL1yzEE2u63e7FGprPILXLR+5bUs5J/ih/YMylSKegMJoZ8+bPVZA9VWtYRmJpRWUMhbOPF2ntCiaS8TnJavXssQWz3rfJalMXu7fN6g3UaA76yoiq555LKrL2KC0C1eVzuzlrkOHDslDDz0kQ0NDZ0HcP/mTPzlv7TIyMjIyMjIyMjJaUmgLHCUvrFLEJASDwTldi9iCd7zjHXLddddpYbEvfOEL6pz97d/+bX3/7W9/uxaNIJcW/fzP/7zcfvvtcs0115TjEXDf8rrZ8rb8dD4dnRcywKw2brMBcPr72bv2ae4mUGlXg798Xj3jsFzGaynaMVPObD2RCfb59+wZUNshsI1zK7f/V3soYQNf+gDIfO1VVu4tRbPs8wB3d78wIHft7teiVcC2rzx0RG68rEMdnJX9r3bNymPqdRfPNN7OaxwYsMbopq3dmqFKoTKQHWA0EvCqoxQwh+sXmN3dFNB4gO88c0pyhYLmqyLiC65Y2ahQdOfpCX2NmAI5MqqwtrsxoH0DsvjdbgWxTUGRW66wHhLa8zYSTSlA595EDxBL0BHxazt4jWu2hH1yWVdEdvdOSt94olzMjUgF2kNxNlzMhXxR3aj0O56xADEw1IaS6ZIzGWjLeAGL+eJzRpuJarDH0Y6IAMQCp3nESN5tc8ivjtrVrWHNuHW7cwoxAaVA9Uw+Xy4UprEM+lUorxNbFDg7MhSdBl+5btDrlmSmoLm3tL9QcuvSdu5jRx/g8kVOhOX3cA23AvnJRK4Ebq33WAlck3YCyOOZnMZWMC+2a7eWMNdyTEfYJy2RgM5XutRGqzUm4OBCUq5aUPEy1d///d/L+973Pt3Rxc4t579Z+dlAWyMjIyMjIyMjo4sO2tq5sPyDF1AaDp9xUeGuffLJJ7UIxFz0lre8RYaHh/Uf0FT55Xyq+9rFyYhbcDpr/+iP/kjvz/fe3l7NKwPY/vmf//mc7mt08WupiqCdL7g5GwCnTY8cHtFCSgp+ikUFSJU5o6jadZZL0bilaEe1sasHalbO9aauiHi9Z86p3P5fLzCubA/3ASziQnVJ0SowVSjKo4dH9f5zBfhnuYOJWCi5gyvX60zj7XQoUwwLpy1u2E2dEY0bODAQFSmmpJ0HBK6MgtO3vWStQmgiDwCnPz44rHmxQD4pUrBKpKUhoI5Xft++qkmG4xkFgQDdgcmkbsUnP5OiX1xrU0dEXrWtW9uPC5k1DhRljLgHzlVcqrSR7f1djQElghQWo2gY7QNK8pmwi6pZ+cF5aW3wyUQip++FvB55yfo2+fEhKzrCmcVadIwXBcxwCvO5os200Y55ODYSk8GptF6fNraF/QpB17c1aB9wTuN8fejAkH7nfI6lvQBa5on+F1JZOTiQl4l4Rn7uqhU6hp+/76B+xmNpK2KA/zLyn8cGv1e6mwPSO55USIsz14qJsPpoRe8CYq33+Erzegmi2zm6zB/BDYyP3V8wHceFILsUQ2MaS3SZb17iN2Ygrx63Wy5f2SzXrW/TuIdnj4/pnJx537qm0fJXlRp6y1af+cxn9N+Ff/AHf3C+m2JkZGRkZGRkZGR0bqDtc889p9/5H2y7d+/WeANb/Hz11VfL7/3e7825AUQh1IpDoPDYtMZ6vfKpT31Kv4wuHc0HlC5VEbTlAjer9Rdn4URCFGr1A8HIoszlp+WM1hqHpRiv5TRvle0hHxQ4OlO0QeVcr2gK6LFzyWiux23OMeSpbuxs0OJetBOQ1hjyKnSvHL/ZrmkVmcrJ4GRSt9d73S7dJk9fkPPcmcbbCYdvvqxDIZ0zrgFn99ERMndTChq3dDfqtdnC73Tosq1awW7JWUmcA8LpShEvoCtQMFVaq52NAZlKumUkmpaw3ysdjQEFtl9/5Jjm/+byRQWzwFJiGig8xs/0GecsbWJuGwJemUxk5KbLOuXDr75cs2yJXQCADkymtF3FghVNAex9zVUr9LjBqZQWRAOAAjxx7hJpYY8X+bded0ABM20G1toRF8wNnz8mkB3ZLeGirG6NSHdzUPomUzqPv/nSdfLksVFJayEvl7pefW63tIb9MhLPiFcK0hj0KegOeL3at9/6xlPaL+CyDWyJO8DJCoDtG0/pcZqdC3QtirQ2eDX3lp9xBUdTWV1nFDjbNzClxxGzwJh5NLe2oMXFKgub8WsYF3I6r0XhnG/PBGy5L87gq1Y1a7+JVYgx5o5jDLC9cFRlg9Wy1fj4uPzKr/zK+W6GkZGRkZGRkZGR0bmDtmSDIaILvvjFL0pTU9PC725ktESgdKmKoC0lVFyI6O+usFVwbzLhkkjEI6vbwgq4KFZVK2d0KcdrOc1bZXsAULhFKehWy61aOdeAr2vXtS5KRnMl0CZSoDUckJZwRoamCnqvbC6vYJNt/XN5QMB1v/nkSc1mJb7A43Hrw7Zq0J77AtOAq36vR4t61Qvc2S6/pi1kOUTzVpvPcuh6PRL2e6wM1qJL2iN+hbKcy3fyYIkDIHLCXqvc2+916fzjBH340LDcuatPc2B9Htthm9E4BCDiyqagPqBY2RzUPNvjI3F1uQJtiS9gjrkPYwf8vXN3VMe0KegTb9ivDzScBdlWtYa0zUCqTK6obb51a/e0vp0YjWt/1rdHNG4BZyvtTWVzumaAo/SrqzGo4JIiaLiC7XlkrBgD7gNgZn5wCxNRUCjgt8bd6tWs4DueOCGHB6M6xvQHKAysxTHLmDFW9DUbLyrwZSwBsRT9AsLiMuZeeGoBw8Q57B+IamwFrwOmG/xe3cWSzMQFrFrJYol0QE7GOlu8AUA3VyzIWDwtd+2KydBUSp3kAY9I+sLZaW9UEtnTF4oAtvfee6+8973vPd9NMTIyMjIyMjIyMlqQ5vyvcHJnc7ncWa+PjY2pE9bAXKPF1nxA6VIVQVtKqLgQVfYXwEMhKiAXOaO4G+081XM1Xstp3qq1B5g3U7xB5Vxv7oosWsTGZ364V+7bO6hb2NlCv311s/g9LtnS1Sgv29guHY1BOTQYVQA31wcE9BPXJFASqhYtOYqrQXt1z9lFHDWvfHbgbgPdI0MxhYMrmwP6nfGpnEMgMHDwRweG1d2KU/TZk+PaJ84BggMRuZdzraL+yaTGJgApceCCCQMBy8mKQ3P76hbtF7BxbWtIgSROWmAnLlnOAVjafcZh+41HjmmsQU9rSNa0hWXbyqaz1gAgk/gDQLDfK5LNFdWlS//tvuGAPjmekMFoSqaSWXnpxnZ50ZoWeWg/+bJWAbDe8YQWEwNEJ7J52dgR0T4yLrhdj40kyvmzzFV3U1AjEzRKgqJlQa+cnojLZDyn56VyIpPJnDqLWTNXrGySfX1TMhpP6zwTNRDyAYLdVvRC0SqCZhcNy+bz0jeRlP/aM6AglXGLJjlOpK3Bci9Hgl6NlagscGb/boNalx0bUZwOciuFA/h7P+1VsA+YVmewAbYXpHDsXyjavHmzxng98cQTsn37dvH5zhQsRB/60IfOW9uMjIyMjIyMjIyMlhTavvWtb9Uc2fe///3TXv/Xf/1X+cEPfiB33XXXXC9pZLTooHSpiqAtJVRciKrlpNpFjG7b1l3VKbnU+bzznTdn8TS+L1a75tqexZ5rZ7EqCsalcoVS8aesQrYbNnVou67f2O5whQ7M+QEB/STfFactUK2twS/r2hs03oHiYFz35ss7FUR+twTUXrqpXZ45MS7/+sxp2XV6Up23QNUbNrVrjq0TGNtAF5DIDYqForx6a5fCRqIRKtcS/d7XH9V7JzM5jQ1Y3RJWIMx1333zxvI422uVe3AtAC1Zq81hv0wlcxoBAGzsbMQxGpH+iaSCTOD2ffsG1BkL/C56XAqgb9jYpudwrWeOj8kR4hxyBc3jPT2WUDBM1uorr+iSN1xtOW0pXkZsAQXhuDfglbY5Py84c396YkJjDni/bzKp7t6NXRGNKdnZOymnRuOaJ8w8B7weiSZz6tptDno1KgEnbqJQkJaQVy5f0aiAmevwOq5h4hCIPoDhBhlKAGmhKFevbpW//pWr5aljY1p4jUgFio5pzq8LWJ0XEhrAqThxcedS+A1HL/eIZXK67vLFgmRKxJWcWaInwj63NAY8MpGqTlaLjiJjCoJnqSTG20RnFIu4pz3qtDW6MMXfoAtFX/va1yQSiciPf/xj/XKKvx8G2hoZGRkZGRkZGV200JaCY7fffvtZr7/iFa+QT37yk4vVLiOjZQlKlwoGn492LnU+73znbanaNdf2LPZc2/06MRrTLFQX/49CTmSKVnHUznf8OA6A+sC+IXVE3nJFl94H5zVb9A8OxrTo2cBUWqHgqfGkQuPxRFZhJRCzLezTrfVyZFRdvz0tQYW9AMv9/VMKbIGmtHtzZ0S36teaM/oNpAbAEm0ARD0+Gis7f6uNM32gjRRjaw57ZVULwLqo5+P4474UWcM1C7A9OZZQdy1wMpNjXItyzapWdZd+9cdHFKSSF+x1uaSrNaRxBbF0XjN6ByfTVr6u111201r3HpGmkOXa3dM7Ke+54xkt9sW1AKGA8Ss1r7VBHjk0LCdHR+XKVThogbW4nYsa74DDlOCSbMFy//7o4HC5CBmQNC4iTx8bL8UxAEtdEkvHdG4CRE8UCxLPWoXNyLE9OBiVj31nlx4bz2TVWRst5CWd434UJ2NlWZm6BVdRRmJZCfsYe0awoG5X1pwWFKtw08ZKFDfodUvI75bxxNm7arg2bVFoy8VmkP0uS6lAVrNr9lgFo+Up3OIXio4dO3a+m2BkZGRkZGRkZGR0fqBtOp2uGo+QzWYlmUwuTquMjC5AUHqhaanzeec7b3a72Cb/xLFR+eaTJxSisW0dF+R8nbfnYh3Vci/zOg5bgC2Ow4DHJWkFZy7NiiRzFfAH1MO5yfHzbS/nvenaNfply1kcjLnGaQpE9OAoxVmZyOh2d+IaUumCeDwuWRUJSTSVk+4mkZ+eGJfBaEaPBZTaOQrAUpyr+0ogt9paYizIcAXUwfhcXpFNHREt/MX42GN2eCim/dcM3GRWhqJpiQQ90tkQkFdt69Yv3ME4dnl/cCqt2bQ4cEeiUwo0ibwYT2S0kBd9ImICJzEF+oC9FB/DUQowxW1KLAH9Jov2rl39Okfopss6ZMfqZgXf9HH/4JT0jiW12/1TbvF7PLK2LSRdTSHtL+1uDvu0/4wFoJcoCJzIgFSF9C6RwWRGCkUL1jMeHJcv/c4LRDvEUnnJFfPqkvZ63OIvAlSLOi7JdE6GoxkZjo7ofAKpregB6wLAUQ8xBKWxpmAZ1dayBZf2k34Dc31eV9UiYDZMzRcKUshX3w7PMakcDxqqrz9XyYlLW5xwlvZgzvZ7iGqYOVbBaPmpxnQbGRkZGRkZGRkZGS0naPuSl7xEt5596Utfmvb63/3d38m11167mG0zWqCWevu70YWt5ZrPa7cLYMv2b0Dh0ZEBLXqFSxQtN4jvjD7Atbm2zeqD3VbeA3YC94rFnDSF/NLRGJBVzSG58bIOq79HxxT89U6k9PjKuItan+V6PucUw7p/74BVcMxjFaY6OpLUKAEcoU1Bv2TylpOOIm3AzYYAxcvcCkafPGa17cqezhL4s2IRIIu205WfcWBWriXuDZxMpHNabGt9R1heubVLIxqcY0aLeydTOt+jMQsih/wevRcuWICt7eblHgDAzsagZHIJdZ0CIYGYYb9XAe2BwZi6SYkfoKkU6yKeYGgqo2A8mc0pGA77PAognz4xru5Wb6k/77l5o+bGklvbO5HTa6hLNVOQtKsgpyfIdXWJ3xOS69a3yp7eKbnnhX4ZiaYUeuZL0BLYFfR4tA/JrEvyJWd1kfa6RIJ+YHpYhqIpdSHzOxCWImtcpyPiU0g+Es2U4wysebd+Ab57Sw7WSherq+SgtfJkrUxZXsSxzPhVZtfaoria2+OWoDevWbqV4jScu5UCyLpcbgnQ6XxB4ax9CwqmsfbYnh70u0o5xUYXinigc6Hone9854zvf+Mb3zhnbTEyMjIyMjIyMjI6p9D2M5/5jLzqVa+SnTt3yq233qqvPfDAA/L0009rtV6j5aOl3v5udGFrOcVOOGW341tPn5I1rSEFXNlcUh2Fdg7qcpMz+mAykZOe5tC0tgJU17Y3SE+L5cykKNVf/PJ2BZG8h/vzipWNGjnAtv979kyHsJWfZeAeEJBjRmNp3e4PlKz1Oed4ohEAp2HgZUNAx5Zr8B65t4NTKQWBjPO2lc0l563lniX/lX7RdrJuX799hd7b67XcuwiIS1RC5VrCMcp1lCCytV5cGtVAdi4RDfaYNQQ9CpG1EFcJAEP8KJ7FeJAX63QL53IFddwCAldSvKzkTKXIVt+EVUyLW5J529bgkRs3d8hwNK1tYH4Y52g6L91NAYWY4yNx7TP9AyKz/nB2j5NNoJEAalrVawa8bklnC+qg5T4el1vPRZyP+B1IigMZCEo7m4M+iaVzluu16BbYeiTgsYBqgZ8twAzkBgjzc1tDQLaubNRibtkYTl0LhNowlNvmSn21vbE4XT1ut46l1w2w9ogv51bHLvML6Kf9tRRLF2RFk1eyeQ8kfE6fhUKhILGcqFu7WBGEQL83dDToGjw1FpfT4ykTlXCBqCJNY1lrfHz8rJ1ge/bskYmJCXnlK1953tplZGRkZGRkZGRktOTQ9uUvf7k8/vjj8ld/9VdafCwUCsmOHTvk//yf/yOXXVa7ErvRxbf9fbnKOIwv7NgJZ7sAlTgXcYMCoJaTI7jWZ21ncmJaZqvTPUzfeP21V62Y5hy1Iwc8DtcqQNSGsJWf5Yf2Dymo4zXyVnGOXtnTrCDyrt0DcueufoWw3U1Bue3Kbgv45YrSHglonAARAt0lsMyYUkgMgOsE+DYo5n5kuF61qlnjB5zv205tG+RWW08U3VJQ5/co/A36PQoyHz8yqu497suG/njaihIAMDIWyWxB4pmCAs9T4wl1JtNW2xn+iss7JJrOyW7673HL+o4GecOOlfJ3Pz6isQ5BD2DVcuBa2cEF6Z1MKiDun5xQ9+ll3RHpiARlcJKHAi4rc1cdogV13QLDV7eGFIbiwMUdChjWCACNg4ho+46NxmVDZ0Tn51+fOanQldfhXIDYFc1BjT3obPToexQFS5YiMCbiGW3vps4GaQkHZDye1vzQVNYtw9GUHB6Oae5wV2NA7w145vNgy44b4E9c0OfV69JfK77ALZu6GjQKgkxf3mNM1DU8y5oenMrMGahqs4DnbgC6y8rOLb1HkTim9i0vXqNz/tf37DfA9gLSLPHFy0r//u//XvVhwvve9z7ZtGnTeWmTkZGRkZGRkZGR0TmBtuhFL3qR/PM///O8bmh07rRct78vtYzD+OKQ7dY8MhzXfFJyUTeXMm2X62cNF2NnBBdruJzZWsvV/LWfHC2DWDtyYF1bWE6MxiXBFvxsXq/HOZWfZba22+dq7EIiq+8BfBkr3KWcz2v9k8mS07VEXVxF6W4OKmR1tqfywUa1NjuPcb6/sjmooJPs3MoHJXbbeR/YiLOXduJS5TWiAHChbutpUddrg9+jcJRIhngmJ9tXNWsOMLm/165rLbeHc4F/Gzsa9HgiKV6/o0cdvINTvRovANhmrICVDx0Ylp7WkFy9pkWeOTGm97xhQ7u6alc0BRXYjsbTUkhmdQ7t97atDMsbr+6R+/cOSt9k0iLApagBwCTzsaG9QXb3Tmj8hNftVlAL/AX0tkX8clVPswzjiB5PygDgOJkrZdaSZ+tS4NrdFFLQGy5BahzGgE5cuOQGA3uvWdOiMPb0WKoMXcnE9bqBoyWXsiYTFCXktWIfcPbiFqY93BPfLC7e2ayTc2V0CrZ58OBxaRG7jDPLoXQ92vCDnX0KqfunMnO8g9H5FO7yC1lut1s+8pGPaNHcj33sY+e7OUZGRkZGRkZGRkaLB22npqakqamp/PNMso8zOv9artvfL0WH8XJy/wL1Pn/fQS3oxPbvD7/6cgViC+kP+aT2Vv/F6t9SOYFnm4v5zJXzs3bbtu5pBch+8Hxv+VrvvnnjWTDT6VRFPzo4rFBr5+kJhYf29ezr28CSiAF1wYYDCgVxwQL3Upm8xN05KXhw7roVlK1viSgU5mf7mrON7Wzj73yfPtZ6UGK3XQuN9WR1rVEgbFVLSN2udlzE7W950bRxdl4TMIoT1dkeADGREFtWNMoTR0Z1PTNv73vFJoWWd+0ZkHgqq9ek4BpzcWQwKqdG4woQaQdQVp3G27rLTmOg6s7Tk/LA/kGFxTdt7tD79U3h+AYUe+Rt169VOIvj2cqGLUiuWFR4TGbt5d2N0hjyyvBUWqHr86fG9fo4oXEQ2wJi45QlGgGQTHzGr714jTx8aETzdhPpfBmeAs34eXVrg7qmgbHEOwCbiUOAIic1L9eCsuT3tjSQ4Zu24hE8LvHlCnoNMos5xRmzsFBpnIVC21IVssr3S8XXnj0xIS77AYLRBSOK113oOnLkSNVCukZGRkZGRkZGRkYXNLRtbW2V/v5+6erqkpaWFnUGVYr/8c3r+VIxG6Pzr+W6/f1CdRgvpBjUUrh/5wuCAbb/tWdA80OBZ8dG4nLd+rY5XaOyP8+eGNd80gvB3TzbXMxnrmp91ma6Vi33LY5RMleJWMCxa89JZWEy24XrdMECOr/+8FEtEgUI9rgL6ih9VZX4g8V8sFDtQUnl9d5/y+bymLDuiB6gr3ZcRD1OX+c1yfIlZgBgS3wAhepwcbIWu5qC8vM7VsoD+wZlJGZt8yceAXOpH8jpcUlzyK+5uMDEXKEg2XRB9vVPlQvGhWiP/ndN5IF9Qwpgm0og9uGDI+qktiMqnj4+rnA24PXIUCIlzxwf0/5QSE1hphQlEvApTK72306KftE+YhpYJ6+8oktOjMUVuCIYKM5hHL24c4nEYCzs/xLTLxvAMvekyY4mshrZsHVFk/zk4JCMpXMaFcFRzmbQf1SrKFk98rutcYil8+oIriau7y4QgWGA7YUon/vCiRjCUVv5GePfsHfeeae84x3vOG/tMjIyMjIyMjIyMloSaPvggw9KW1ub/vzQQw/N+SZGl6bOl7t0qRzGMwG42UBfPe7fuY7XfEEwjkS2bQd8HhmJZxRyNYV8c7pGZX+4ZmdjYNm4m2cay9nmgr6MxFIKRXG04hBdintVA71nsm/dCjMBg9XWQC1IzL0tF+6gDE6mNAeWrf8nxhLqqnY6fRe6ns4GqPlpD0oqr0e7iC549PCINAYpuFXU4mU4jHFqOx3J1UB1pfuW++HWxTUKsCXO4Imjo3J8JCFXrmpSoEuBNe4DMAS2AmAVxorISNSCvrhn9/RNqhMZqBlNZxW0XtnTpJ+RvomUdXNHvAQFve7eYxWeY275/BBrQSQFTlqOjGXymk1LVAKuVrcrZwHcCjrKPTOZvBTIynVZWb/XrG0Rn9st3lIdMDBoKleQH+7qVQct+ZywUa4b8onErFppZcFhC/mC9rG9wSeRoE9hKoXbMhXPVTUlYRYTpe3KxURLNvFUavpFaEs6TzJxbWmbSl9GF55WtATlQtFzzz13VjRCZ2en/M3f/I28853vPG/tMjIyMjIyMjIyMloSaPuzP/uzVX82uni0FID1fGXLLpXDeCYANxsIrMf9O9fxmm8MBPAOp95YPCPZQqHk8ivqteq9RmV/uCZO2+WSnzzTWM42F4CtU2NJdSKzfZ0t/TN9ZoB3p0uu0dnuRfZrNTi5WA8cuNabrl2jX07IScGug4OxGdfUXNcTfcfZOhZPy+nxpMLQK1Y0aeEzIOwffm93GWoCwHGrHhiMWsXBlFsWZTxpjS15sfftG5p17Ve2kUgIcm7pI3OAQ7Y57Cu/v7o1LCtbyAmO6bzi8mTeiA8A1sZiOWkK+vSzgIDAtIvx4ny7mFxPS1AduHa8BIXfHjs6KmOxjELdxqBHGgNeiSaz0+IGMJUmMzkJ+71aKI62/XBnn6Sw6JZgqO2k5bMImOWBysmxpEYlHBqKittVLB8fTeVlMpUsXx90Gs9aQNTy81oicoFr7RuYkoODUelsCsiO1S0Kp2kzEQ7lNlpTUVXsiMfZy7qy3cm9E2evC1g0kaeWL/hsAXuJgAAQ02crwoF4iMWLZzBaWt20qV0uFJ1LcwG7y/7H//gf8k//9E8yMDAgPT098lu/9VvyR3/0R+VdaTh9P/WpT8nf//3fy8TEhBb0/epXvzqteO/Y2Jh88IMflP/8z/9UyPymN71JvvjFL0okEikfs2vXLvnABz4gTz/9tEJojjf5vEZGRkZGRkZGF7fqgrb8Q7Fe7dixYyHtMTpPWgrAuhyzZRciJ4DDoTcSS5cLL/U0B2cEgfXAuLmO13xjIMiw3XlqQiEXrjkgFlvxbUBVjyr7Y2faLqa7ebG369dqe2VbKXi2pjWkcQIUzSL7tFpb7M8MQHAykdNIg0rwXXmvRCYndzx83MpGLTl5bcA63wcOM41TpWt4f7/12a6WRVzNLTvbGI/HMwpsp1I5zV/tn7LuxTUVoiZysjNpZfMCUFvCPoH5AUkZW5ywjCE0bySerulutvv4Qu+k7OvnCzeylTfrHGNgau9EqtyH27Z16TXv2TOgoJbxn0rm5CqKm3nO/K0DlAJYeY+SXm1hn+bsEttgX98ZR/Hvz/WqizVLAbksjuGC3Hh5l/5NyFYU4MKFyjW7m4LqoGVsMkQ2FC1gSjwBcJTTeG1U3e9j8oYdK+XJY6MyUQLblSpHI5TgKsXmcAvTj7TCUAuHEpXQP5GSdLag42i/PpuAtK0hn6zvaND83OMjcRmJWXnAlYIBxyv6Pe390lt27bOi/XtdLTFaDvrHJ0/K7//cNrmQNDw8LAcOHNCft2zZoqBzsfWXf/mXCmD/4R/+Qa688kp55pln5Ld/+7elublZPvShD+kxn/vc5+Rv//Zv9ZgNGzbIH//xH8trXvMa2bt3rwSDloP513/91zXC4b777pNsNqvXeM973iPf/OY3y/UkbrvtNnnVq14lf/d3fye7d+9W1zCRZRxnZGRkZGRkZGR0CUPbF73oReoYsHNrZ5LJtL0wtRSAdamyZc+XnHAIOAMcAqjQR+AQ27xrgcB6YNxcx2u+rkwg5Dtv3KCwDDBzcjSu2alsxa/3GtX6s9ju5vk8SLDhHnASZyTOSrJdnWM521xs7orIgcHYtAJY1dri/MwAJquB78p7vf+fnpXhWFrdnXzHfeqEtos1TjZUfvjQsBwdjktjwKNuzgb/lBwZSUzLIj41ntBjhqNpCfnccs2a1rPWQjUwzPcfJLOatep1uTTyIJPL63oExlVm895yRZfc/cKgXg9o29UY0EgD4O6Jkbhm3FJUCyduLJWTAwNRjRMg35X/7FB4bSiWlolkThoKRQl6iROYPsZ2Oyuzfu3x4HVcs8DD+/YOisbWanGvsGxZEZEjQ3GJZ/Jy/YY2+b3XbJlWoM85j39z70FJZAvqGoU/pvMF2djRIM+e8JwFL3GV4sIluoF+h31e8bqz2lfawVzgdHciTNyxPs8qzZredXpCJuJZSeYK06IF7FQD/S9yqciXHWEAJHUCUaA085TE5Vzxn2gcr3auLaIprWGf/rc+U6CI2oQ6zmfSXOGrgbUXnnB5XyiKx+PqQr3jjjs0SgR5PB55+9vfLl/60pckHF68f4s89thj8gu/8Avy+te/Xn9fv369/Mu//Is89dRT+jv/bv7CF76gzluOQ7Sru7tb/uM//kPe+ta3yr59++Tuu+9WB+11112nx9DO173udfLXf/3X6t7953/+Z8lkMvKNb3xD/H6/AuLnn39ebr/9dgNtjYyMjIyMjIwuYtm7M2fUsWPH5OjRo/r9u9/9rjoFvvKVr2huGF/8vGnTJn3P6MIUAAZANRswBIqw5RqHKd/5vZYAJYDMzZ0R/b5Y2bLnSzYc+uCtl0l7JKAV2QF2QBe2SNvv8X0+0RL2eK1rC8uKpoC6DWcaY2d75npP+15buhvlXTdtlL95y4vm3e6lkhOK1hvdYANMXIcQPZyHc1l7jDVOTy1OlSvIq7d26bnV2mJ/ZrwetzpJN3XUuc6LJUJWdM0WJVpXe+1sVZyUQHjaZo8D7leGIhzwqnsYh6+zHzhxKUTXN5FUoDeeyMqBoai6jKsV0jsyHJMf7OyXz961T89lCz+xCGyh1yJfXo/+7WBsgOUBRzbvq7Z1y6qWoBbr2r6qWTZ0NiiwZQy7m4MSCZaeIbpE2wRw/smhYfnbBw/JvS8MansDXrc0Bb3afopslfNmS7IBLW1gzmg3Y+T8rOCYJYrB53VLS0NA/z695+aN8uL1bZbz1S2yq3dSIxtqiaHR+mKlCeQjeteefklmCmfNKcfFswWNbgDGJrI5aQh41RW8ri0kL9vUKa0Nfl1zAa/LGk+3S/v2+u0r5cqeFtncHdF2VcoGtfSJ7FxANudWQlG3Fh+jENvZPlucuQB95hxQG/R6FJoDmCcTZODWh1gXupaNlreqrb/lXIjsxz/+sUYNEEfA1/e//3197aMf/eii3utlL3uZPPDAA3Lw4EH9fefOnfLII4/Iz/3cz+nv/LuZ2AQcsrZw4V5//fXy+OOP6+98xzFrA1vE8cQkPPnkk+Vjbr75ZgW2tnDr4iQeHx9f1D4ZGRkZGRkZGRldYE7bdevWlX/+lV/5Fd3mhQPAGYmwZs0a3fL1i7/4i0vTUqMlVb2uzbm4H5cqW3Y5FDtbChexPV52DikuXhyfaLHH8VzMzULncrbIiWpywlVcmgC5ShcmMByARvEosnida4b3cXTaLlsbXlabb+dn5rZt3WetvWprE9cooBJHKjmjuE8XIq6Po5j+EHnBNWmLPQ4bOxvKhbU6GoPS0eCX3b0TcmBgSuMBtq9qkf0DU1qsi2OAemz7J07A7h/3+NbTpySdy1vFvo5R7CsmVxIx4LUgKYAPaEd/nH87nH9PuA65xxSss4qIBTWTlvcB5UeGYtJAGCsQNJdVEBpwu7SgGuNF+2PJrIJlnzel4JNzK8eZCIRvPnlS4eh4LCNffOCQtvuKlRF5/MiYgtNcviBdTUHxuV1yWXejrhF1QU+lpSnk1e8P7R+SN19nuaAr74EDltxZG2gCZicSWcuZ67KiH3DPAlAZ12wuL4l8UcIBj64Rl+RldVtYWsMB+fmrV8prruyWLzxwUEaiGXXgAk8H6He+oH2n2Fpb2C9jCSuXVyoybCl+pkBeIz2mg1ncyFwTiI4D14artLl0KRWw2Ocu6L1mSDqoKeOevbj14nWtcqEIA8F3vvMdecUrXlF+jX+zhkIh+dVf/VWNM1gsffzjH9fogiuuuELdvOw2+/M//3ONO0AAW4Sz1il+t9/je1fX9P8WeL1eLQDsPAbDROU17PdaW8+en3Q6rV+2aKeRkZGRkZGRkdFFCG2dIker8h+OiNfI5zK6MFUvxFtuObXnq9jZQgtGXUhjfL7mcrbIibnCdPv6I9GUnBpPypq20FnFuWqNfbX5nu0zU21tvuHqHgXBi7VuaO/a9gZ1vGrhrZZQGZByT3JccWGyQxj39uauBtndN2md7HLJ9tVNcmIsrlv3gXoI7kxkAtdA9IHIAsZMZNSCk2SdlsaIrNbP/NL2Mtj82k+OVn2AUq2IGM5XNJHIyPef79MCeYBOO46HOQRSsrV/ghxcha0BwaNM0TBntrA9zoNTSY2eSKbzMpXOqcv1P3f1yX/tAb4WJVFyrg9F0wp+uXdZrhJ6dFngs1axuVdc3qGxAawfICjuYfJ6t3Q3Sd+EVbDM67asiaPxtLqg/V6RFY1B6WwKSrFQlCtWNpXzoO/e06/XAZ4Tn8DPO3snZFNnRGMjGO/2Br9MnZ5U9/j0MAVLAFnmG3dzKnMmSgEw69zZrs5cNwXG3OqOzhcK6rQFhvOeE+RWkxMWG106wil/oSiRSJwFSRFglPcWU//6r/+q0QVkz9qRBf/f//f/aaTBO97xDjmf+uxnPyuf/vSnz2sbjIyMjIyMjIyMzjG03bp1q/5D8Otf/3p5mxY5W7zGe0YXt5ZbTu35ApxL6VRdbmN8vuaS7eE21FsMmG5fn23xfo8FMytjF+yxJwaArN9srqDOZ65T73zboM/pTtXcVr3/9HVjx43M1ylut5dziCGgcJYdEYCAjbg/gY24XMmt3dDRUB7j4WhGt+BTZGowmlZQSjYrIJj24oAFcuMWJQ7E53bLjZs7FCTqGI0lymOEu5TYgVoPUGjrrtOT8sjh4TL4taMLKM6Fa5fIhPF4VguU9U8kNV9WYwN8HgWavP6aK1eqWxZn8Tv/39OSSOdkZUuo3CciIYieIGcWuhj2ebQfk6m8wuvy2OcK0t3k1cJz6NatXepaBrgSd8HvtYrNjcQy8uptKySd7VNHPIEEgORXbe0qQ3lyr589Oa5FtzRLtlCUwamURDM58bsJLBDN1yWGAWcw0FQhu9clsTT5s0lt/2gsI/2TSW0TgLUaMMU1S7uA0NFUbsY1w3gy5kB6xsBWnSkIBtheorp/35D8zk2b5ELQS1/6UvnUpz6l2bF2oa9kMqkAk/cWU7//+7+vbluyadH27dvlxIkT+m9ioO2KFdbf4sHBQVm5cmX5PH6nXgTimKGhoWnXzeVyMjY2Vj6f75zjlP27fUylPvGJT2hUhNNpy644IyMjIyMjIyOjixjaUrX253/+52X16tUai4B27dqlzijyw4wubi2lw3Q+uhgB51KM8fmKkTjXczkTTLevD2RkWzsgr/I+TtiJE5VsXKAdqhfa2qDPdqcWCiMKxLjvd545pdvVKWJH/MMzx8fkwQNDCjyBfU8eHZM//vltdc9NtbXinGsEsMWxybiS02tnV8fTOQWLjxweUdclxaeIWRiLpxWCcj2rUFlSITdjtmljg+xY3azw9/RYQov82GNkwcDaD1BoG9cjWgFgC/ilnbyuTtbxuKxvj8jK5pC299BgVJ4/Na5b+3Gt5vJWTMA9L/Tr/YGrzUGfTKZycmosLsdGYgp+r1nbLPsGYpLM5hRM4hzlGjBcp3gdFywFz4DOt27tVpBvj+VLNrTJe//xWXUdo2QmJztPj2vGrL1mNnVFZJzs12RWrt/QrnNrf8ZoHwXYppIZySWKGsVA+6Mp4h28MhhNKSSmCBrHNpaAazSdUzctjuP9A1HFpH6PR8YTGYWzdpSu022rBc08LvnZyzvl9HhSnj42WjPigLV1ZU+z7OmdqGuNGRmhff0XztZ6Cn+99rWv1X+nXn311eWs2UAgIPfee++i3gvnLtmzThGTYBdAYxcaUJXcWxvSAk/Jqn3f+96nvwOSyd199tln5dprr9XXHnzwQb0G2bf2MZ/85Cclm82Kz2c9aLrvvvtky5YtVaMREP3ly8jIyMjIyMjI6BKCti95yUu0KBnbwfbv36+vveUtb5G3ve1t0tDQsBRtNFpGWm5ZqMsNIi+XMa6EtABKO6v1XMZIzEVsEwfqUeCKrFl+X0zZa+PIcFy3xOOw3FzKtK0ce8YNR+58HNy2o/eGTe0iR0YVxPE7cPOOJ04oYaOI1v37BtXhCgwEIAL8Htg3KNdvbDtrbpzzCey1wW81AG9nInNPoCAH45QF1r66wgnKNYamgIdEH1hgcyiaEf9gTLNhAx6X5swCFXHhEqOwu3dSnbixdE6aw74yEAZKz1TMkDZSwI8sXOe40i8cu/2TKTk+ktD2RQIehchBn1cIA8CBurK5QR26uYJ1H45b1RqW2EBUQacrlpGw36PXf/nmTtnfPyV7+qbUsZvM5WU8lpZ4drpPFKg7HEtVBfOf+v4eOVqan1xRxEcGbKGoWbzVcnsB73zGKAZ3/17rer3jCZlK5RTaA20zhaJ4XG5pDln/6WVccRADc6dSWYWvwO8VLSHxuFwKjAHRFBljvMMBn0Rx9mpOrXV/O6M26PfKh199uTx6eKTsVK90xQLff/FFPere5cxaUQcgqGoRDEaXrvh7cKEIt+uhQ4em/Tv1137t1zRnllzbxRQmBjJs165dq/EIFOe9/fbb5Z3vfKe+j6GBuITPfOYzctlllynEpf4D8Ql2DQh2qQGZ3/3ud6sxAjD73//7f1f3Lsch/o2NU/h3fud35A/+4A9kz5498sUvflE+//nPL2p/jIyMjIyMjIyMLnBoi4Cz73nPexa/NUZGFzhEXi6qzPmczQW5WFqIo5ct8nahKr7z+2LO7VzWyrSYBEcEQD39sc8FhFI8q7tJygD48FC0dEyDFgMD2EHgXCUw6XJbENDWtEzVcSu/FtjLeQGPW36QzCro/sTrtpbbBfQeiaXUNerxuKUrEtCCbM6HGlzz8aOjGt/QHvFL/1RKga3HbeWl4kBly35j0CejpSxZy6Fc0ExYMnSB3kQG2JCWDGL0wL4hXW9ATDv+oHJsnGCXteL3Whm2Wbb/54ryyOFRaQp69TVcrFetatYv3LmMHXNBnAMxCThXuV9r2C+xdFaeODImX/mNa8tz/bcPHNJ5BKDu7ZvSPgAriRJAuHYBK7bj1l67zA+wFODNPSJBv7x4Q7tm8dp9cq6n2+89oFEStJdMXQp7RdNk8lrwkwcnOH4Bp70TxD64tBge6ySWyupBwHuKxXFf1kww5lFAC/hnLNoafeJ2FSWVyeuawczHccQmUIzsqWNjCuJZHzh1s46AWsbo8u5GhbXPnZqQdK561ALinoBbYLWREeJzcKGIaAIybYGgTn3jG9+Q4eFhhZ6LpS996UsKYd///vdrxAGQ9b/9t/8mf/Inf1I+5mMf+5jE43H9dzOO2htvvFHuvvvucnQDAjADam+99VZ17r7pTW/Sor+2mpub1SX8gQ98QN24HR0deg/zb3EjIyOjxdX6j995vptgZGRktHBo+4//+I/yv//3/1bH7eOPPy7r1q3Tp/0bN26UX/iFX5jPJY2MlpXmAx/PdwSB8/64DHH82ZDWuS1+KWMkFlIYbjkVYLPh5l27+tWVCyT7+sNHFby96do1c3J/2y5n+oRrEjslEBF3pYLaorWF3+NxqRO1WvE0zVRNZhWWZnJ5/Tns92oEw6OHR/U4e5ynklk5NXYm0mDHqmbNBq4EwF6PS06PpzSr1u9xS7qYV/cmrzcGvQo3yWC1t+TjFAYUkxerRc9awwpSgZg2EOb6uEqZR/JtccM657+aM55zppKW25jMXK/bKkyWyxcUrOKexTVKFm88nZefHBxSZy3tAjqzznHMkvsKqNTCW47PwigO23ReAWUk6NP+6u8KhHPicuUlPZaUBv+kHB6Ol9cucwVkRW7csWGv3qfaZ4f7PX18THaentAxZLzyFCPzWI5Y6psxfrht+fwx1/gWCwWPDEdTMpXKC0ML4OWe9K07EpBtK5oUoLM1fSye0fmmDbRHJC/UF8vnCno8fWdcuxr9MpHITQO2CHcvX3fu6ZdECsdy7TVcb77tuRB/QdVZvIzadCkKh/iFIv59SmGwSuGExb26mNC2sbFR4xj4qiUeCv3pn/6pftVSW1tb1TY7RSTZww8/vKD2GhkZGRkZGRkZXeTQ9qtf/ao+3be3e+XzVllqMrX4R6uBthevzjeUPJeaD3xcCLBcDDnvT+Er4GC1bfFLGSNRC7zWs3bqybQ9VzDdduUCOIGuuCZxT+IinQ3aVis2Zmel3rS5QwHUg/uG1EmKO5Tt+yG/R65Y0SS3Xdk9LZfWLma2tjUsuxPW2AATC4WsAjwKdAETnYAbB+ya1pDON25XCpEhrveDnX3yQt+kOjc3tDfI6tag+DweefmmDtl1ekKOjcQVGgJRAYycS9vo/xiFstwinU0BWd0S0qJnRFjgiGZsuT4PC2yXL+N2eChWdYyKVbJu/+O5XkkVgKsuhZBsx8YdCnzMF7MyOJmSFU0B2X16XIEuJmV1E3tFxhI5BbEA3GgqI//x3Gl1CgOeycN90ZoW2bayUSZ7sgqCyfPd1zcpw/GMdDUG9XqMVWvDmbW7qaNJQTHAlOiCBp9XoxI0Z7bCdf3DnX3y0xNjZRBK/2KZgoJY+gIEBeRmII8sAJy3haK2GZcsY26fWyjFZ+COtgvx4eIl9oA5pQAbrtrSZVTMFdcbmEzpcayNaWvSaxXew4WdSOVq5t2iWpEJs723VNKeGGB73tUSntcz/vOigYGBaUW/bHV2dkp/f/95aZORkZGRkZGRkZHRfOSdz1awv//7v9csrv/5P/9n+fXrrrtOfu/3fm9ejTC6MIDq+YaS51LzcX2eK6dorbl23p9K9cVCcdq2+HMB2GuB13rWTj35xAuF6YBJACGO1ro/J8USHStaGaBzVTWIC/wF1AFN17SFZUt3YxnQOXNpzxQzK5Zh6U2XdcgPd/XLXtzUXrc0Bf3TADc5vQcGY9pf5mBTp5U1zvqgaBZrI5cvyrHRuGzsaJDfetlabR/t+rP/3Ku5upjqmsJ+2dbTpJECbKXnXjg/X7djZXncnPm5zAdQ0+nyBZLWM3/EOwAcd/dOSMjvVYhKe6LpvMJJ7nV6IiEDUWIcigqSg0WR8UTWKoZWcmMCbQcm0/Ktp04pZG/SeIe0ulQ/80vbp83BZ364V07sHZST2bi0NwQUmhO58MjhYc3OpVga7bLbDIwG4J4aS8g9LwxMi6W4Z8+ApKdzUpVft5Tj/i1IKgeOxnErkstbxcNimdxZBdIY68qHFszpnr5JheoAWxgm7l1bOHd5CHDX7l4ZT57dENYaY4D5tpqLFjhuv76cgK3R8pHtOr8QtGbNGnn00Uc1P9YpXrMzYo2MjIyMjIyMjIwuSmh77Ngxueaaa856nQq1ZHYZnR+dC6C6nLavL7XqcX3O55zFgOu15tp5f7ZQv377iiWH6pX9sYuHVYJXLezlcUk6W9Ct/kCuyr7XkznrXINEDOCEnW0s7XNWt4bkrt39Cts2djbIrrBVVdsGltXm5ZVXdKlrmUgCoOktV3QteB7v3NUne3on1LlK8S2g7W3bumcsZub1uOWKFY3qosXpieMS4EpMwtq20DTAXQm/mRPgKi5YjUVwiTSFrKzWnuaQOmLJfaUf5Ntev6m9/BnHhfqymzqmXQtn7dd+clSPx7np/JswmciXXb5ESgxOpdUlSjvJbz0yFLNiDaqsg9fvWCn5UnTESCyj2cbFYlb7vmN1iwLVvvGEAmeyawM+twS8bo0KYL1zLq5hkCY5xABkinbxHv1mzhDzRuzFU8fHtLiX5re6XJIvFjSTFni8siWo+bn2HNNHnKq4Yq1oCo86Wu1YioOlrGKnAiRhiKtUbMx6jW/k0BZLoNT+2VX6nZ+5lzMTGOE63nVqQsbi2TI4tVkvwDrkdcvgZLIqOEYzRSHUG4dw4SA7o6XQ/B5ZnR+RZctuMAp6vfKVr9TXHnjgAc2W/ehHP3q+m2dkZGRkZGRkZGS0dNAW58Lzzz+vObZOUVSBCrhG50fnAqjOB2ReqHKCr56WoAIUG2zVAnRL5RStd67ruf9iq97+MG4U0BqeSqtF8NS4tZ1+rn13rsGTo3G1V+IAne3evP/EkVEZmkpLwOtSJyVi+z5AU3NeJ5Kyti087VpvuLqnaqzEQuYRly0grzHg1WxWr8t11lxVFjMjFoDibBPJrLzQOynNYZ/ceFmnjoOzMFY1+G27YYHmxCkATNe0haQ1HJDu5qDm7dr94D7Vso9tYIcLd6bjt6xo0nbyPq7QvomEZrbiFuaeFDOjD1mNCZi+DuyYhJ+eGNc5AqY2BH1asItMyCNDUXXZtoR9UkhahbZwxwKfcb8ORdPax1jKzru17sHPAHLugxiLXb0TCl8BsWT4xjN5eeb4hGbQ4jLubgrqWB0Zjmu+LmPOvZMUAHNTAsyKZgCEo6kUCbVnBN66em2r7O+PqnPWfg0HMnBZi5NReKx0PG3ELUsBss7GoF7/C/cflL+654Dk8nmJZwrl65D5a0NYrkefiYeoF6ra6K3a8cZNa1RL/M25UPT7v//7Mjo6qsXBMpmMvkbRL7JsP/GJT5zv5hkZGRkZGRkZGRktHbT9yEc+otVrU6mUFnJ56qmn5F/+5V+0Wu/Xv/71uV7O6AICqucDCp4L4WYjk/LB/UP6+61bu+T1O3rK4KtyC3gtQDdXp+h84Xqtua51/1qu0MVw/Vb2B8jFeFVek++AURyrHIt7cj595zoA9If2D0kym9fCUkQGAFyrXY8+cjzORcBaZ8Sv0I3YgcmES8FdudBXIqfOU/pjX6vWmFabxzmNJ5ELMxCyys8acBnYyf1OjyW0rdU+69Xa4GwrImph68qms67L9XDyXruutXxfxs659hlHp9OZQmVAVQrdkZv8qm3d6sTlfAAtxbeGplLq5uXYrsaAFj0L+60iecBY3LZ2e3HjkiNLm5gj8ntfvrlDc1xxzOJY7Z9M67g1ud0ykczINWtaNbOWuTwwEJV0viBj8bSMxrM6xA1+r4R9Hm2T7WQl19bttqIidDqKeWkMetRxGk0m5flTE9IR8cuJUsYvhdmIYgDkAnhdkpeplEse2D8k3/1pr7YV8Gp9ueVn1jZLY9A3bYL5iQcAIZ9boyOAsNzehrC4d4l9wO17ajShucPFKkvE6ZplPgC6cxXLMlNy5drLUKMbcP9qVrAFlbNzv7TRRSp7F8WFIP6u/OVf/qX88R//sezbt09CoZBcdtlluiPMyMjIyMjIyMjI6KKGtu9617v0H8B/9Ed/JIlEQt72trdpRtgXv/hFrcprdH50LoBqNYB1voqT2fdle/ZUMquwidzH+cYN3PHEibILlK3UuOjsvi6mi3kx4Ppc57qWK9R+HaceLligKsAaWNM3maprPiv7gyvxzt3Rs+7FNShcxf3Y1r6QBwu7eyflwGBUHYsAzCdcIh2RYNXr0cf79lnO0FBpOz1fAL6Xb27XdWNDy+cSE7Lz9LhCPvJMWWN23yvX+aqW4FnzWC07FwjJ+rSLX/E7xce8Jbevx+NWKFjpOq78rH332VPyowNDcmBgSoH39RvaZEVz8Kz5rzbXM8VmANjJv7X7wWfIed+/uffAtMJinQ1nnLW20xnIymsASQqXVT7sIFuWvgPsx+NZddyubrXA/a5T4+qIHZhKyXMhn0JUO6eW4zsaA7JjdbPsH5jScWOscNSibD4vp8eS2rZXXtGtsJkIia/++Ij0jSct2FkEauYklcuX1wdj0ej3StDr1vEPeNzab9YEsQy8lsgCZXM6jtFkXq5e06J9xTWMs9faLF5UNzHrEHANQG0K+eUNO1bK1pWN8pUfHZFoisJqZ8SZl69okrFERvrGkpLKWQXVGDu38LcnNW39civer5S2wCWakzsfsR4zCcsdbF8h6MO161FYTGxDPZEJRpeOrupplgtNkUhEXvziF5/vZhgZGRkZGRkZGRmdG2iby+Xkm9/8przmNa+RX//1X1doG4vFpKvLynk0On+qx+W5FDpfxcmcxYEofESOJvBpPvcHxAGIyPlEbF13gtnFdDEvBlyf61zXgs7262yXB1gzBqcfS5RBXD3zWdmfQxXOTec41spanQvwZ94fOTyizkZiESJBrwS8HgWR1caysjgb7k+21bP9HRgIEGPdAP6AuYwF24B7J1LTQGrlOsdVyj2d80jOq32vRw4Ny/GRhDSHvbo+GwIeiafzpVgCv3Q0BHQrfL2uYwV3UDoFeS65Zm2LvPm6NXXN9btv3qjv2Vv92dJvA+V1mqfbJX0TqarrEeDsLCy2ubNBgj6vzjPtWNkSqvkww77WZCKjkQVAX3AjY0s7mDeKanncotdL5/I6B2T1DkwCTD2ysjkk//DYcQWq5M9S0Mve3s/lcoW89E8k1fULKCe+YDSWKWfGWu5Rl0YqvGRDm+bQ8np3c0guXxFRxzJu4Jsv79DYChy6uLGBzNyftuw8PSHHR2MWTMYZi7O4WNQiaQUmRh2pFuFU12y+KP/2zGkZjqbPcsniAu4dT0lPS0BWrQ8p0KZf+tmrALblea+2HmZ4T9dIabnYh3AsAJjXcOpOlIDtdDhcLGfo0h3DbI2c4vNjZGRkZGRkZGRkZLSMoa3X65X3vve9ut0MhcNh/TK6dHW+ipM5iwMBlHCqObe1z0UAQ7Zh207bzkhgGpidC2idzXl8PuB6LeiMW/T+vQPSN5FU6LS9rUkLOFnn1Def1fJTDzqcm/a9GBcKcN37wqBukweaPnVsTPNPAZr1An/GFQA3kaCYleWEfeuL19Q8r9JlijvVzlwlmxVgacNXYgMAeJs6I2f1vXKdU0Dsg7deVvNeQEbgr70+ubeVP2ptzSciACdjva5jnM+AdOf9q6250ZKr1Tn+9hxZzteotf2+lDF7cDCo/Qfscg27wJi9bnEilwuLZfOybyAqMXWPFvU+I7G0DEwm1ZVa6U6270vEwufu2a/jm8nndSxcRRydeY0EAGbH0pYjlfxWoGJLg0+BaO9EQo6OxKXB75GmoFddoB635U4FAjOmRFrYoJxjaSvvAem5JvcA3371R0cUGI/GrYJmtI/Yg/UdEbl/35A67IGZQF8cvdGU9fCBvwdrWsNamIwLAj7HExmFnBR1I53ABpw4db+/s1dy+UJVF2wmh5M4o6D6Q7euLc/LZ+7cW863tQUApu2A6HpjCoC1YZ9L20QfeECBo5gHUbSmHAdReV7J0cuY07bZCpfNNzPX6MLV5+87IH/55hed72YYGRkZGRkZGRkZXVKaczzCS17yEnnuuefOKkRmdGnqfBUns+8LnMEBaFVan3/cgJ2TCmggIsAJZmcCrZWQluvY2/HPpfN4JtWCzrZ7E8iVSefVGQhM5LX5zmetezFGOCaBwlz3GBDU65bVbSG5sscqqFUPcGeMd4WtXEIyaYk4mAmiz5QNyz1xmNrw1d7OX63vPc1BjZAgngDAf9PmjhnvBcAEEI4n0ro+GwJuhZ2DkykZiablho3tmsMKfK3HcW0D9n19U7rVP53Ja3s5z+kCBoCuaglpcbLK65YfdHjdZYDM74zJsyf2ycOHRjSWIJHJy9cfPio7VreoExSg3xX2ywt9kwqFWTc4RhGxALRnTUtY3bsf+fbzGoPhzE0mHxYHM+cAbAGEXU1BGY1nFG7aQBEHLCB7b/+UtIa8EvR7dX5wrhbFpUXTVrfhhs6rczeWyUlnY0DaGwM6Zxo34RJJZAsKiGln0O+W9ga/gG339U9ptII+pAAcu0Tdzj0tIXXq8no+XxRYK/CTzFnyeN9100btD7nX/+/x4xrJwbXJrOUYQLQt2s8caIJCCaI6+Sf9BAZv6AiX1zsORuIIKtUU9OkDCsB4PpU/C+pWk9st0haxIiyIbcBZTk6uJ++SqSRO5ernAXfpFP1aaCyCgbUXp350YPh8N8HIyMjIyMjIyMjoktOcoS3VeD/60Y/K6dOn5dprr5WGBqu4ja0dO3YsZvuMlrnOV3Ey+z4Ap8merGZpbupsmHfcAFvNq203n02V2+ZdxaJCFnIvAV5sDbfbey6yfqupFnTGvbm2LSzdjeSzTihseueN68Xrdp8FE+vNLp6pcBdwjnEhQxcXIXy4VkGtWvesFrEwF2dzZYZrvY5qTSaw96MXLeBXSxy1fVWz5pr+aP+wgsDOpoAk0nkdVxy4uH2B5ZVu3ZrXLAH2aDqr84RbmXVXzQUMsK123fKDDgWNRX3gwRjgCiY2AAco1yaCYDKV1evymeLmRBAwH0D9iaRVIIshALfiyiRu4PmT4xovQN4wAPcTr9uqc/PE0VEJBzx6bDaXVyiI25dYiG2rWuTg4JSMxLLWyPH/i5Z7NexyqRMWPgxUZK0A6Rm7Va0ufQCwsimo7mk+/+PxjAxOJfXBCe1jGbDeaPdwLFNqOy7aM2NKJAMZyQBN7qEwt1QwLOx3SzjgLa+fN1zdI8+dnJBjw3F1ZBO70NHgl4FCWsfROf8IgMwxAGSn6D/t6WkJ6u84gAHafCZKLFzbjpMZED1X02tXY1Dr3NntbA751Qkd8FqAHEBcec35ZuMaXTpyrnEjIyMjIyMjIyMjo2UKbe1iYx/60IemVeplqyjf8w7XkdHFr/OVpXu+7jt7PITl3gSIAcAgODZcWw7trdxKf3wkrtvBIVX0I+w/A6kWM7tYIyiIBCBXFrelW2RlQ0CLRzldoZXtw61aGZ9QCWHn0q6ZwOxMa4p2bOiMTHPozjZGK5oCUnS5ZF2pUFdzyK2FtVa3hOSJY6PyradPldvkBM3OMSBflWv9+OCweD0uWdUc0qJdQb+nHAdiw1jcooBMoKztwnVeF8ANTOVBAgW7ruppkitWNumDD2IQrFiAkoNW4WlRz8cViwsbB++psXgZStpuUu5H5iuOW41RyOTkv3b3yXMnx9XZmsxa2a+pTF7XmQ84WhDZsaZZ/vbXrpG79/TLVx46rEAbZ+ra9pC6a0M+j6xtb1QYaxeO+/CrL5f79w7KPz1xQgYnkwplgaCsI+5xeCgqgVxRfG7L0QqYJX+WomE4Tyu3/VMEbSKetZzHxCoAtDUmAKBtwWI78oGvkThO46Lk8wV1CsczbmkJeWUgaz2csaUPJihoRp8rRNu4j/0MAPc2gJc8XwqTWVm8Lo03mAmT6XOEitfo3/GxuLhdboWzuJFzhaTOFWtwodiNe65tC8rJsZRx1F5iWtUWOt9NMDIyMjIyMjIyMrrkNGdoe+zYsaVpidFZqtfdaHT+xrwyHgLXKiAJJySgiO3b883aXYp+VG6lBwRSLGu2glgUiqLoG1vqAdKAvrncmy/OK2faNgfltm3d8vodPdPGdxqE7Z1UVyrxCQDJu/ec3Z+5ZirXArO0me3vD+4f0t+JyHC2rZ4YEGdbaO/jR0bU6cjvjBuOS8597OioHBmKKYwmhoBxedO1Z1zezjn6zrPj1rZ/t8vKfk3l9OGYMw7EBs/37BlQ+yj3rPag4CcHh9Wlytjj4oxn8tpmO3+XtQBIBMwBDF2FogJigC0RAgDOBBbYkjCQAgNXtQZlfVuDwlWP2y3ZQkEzask2tiCwhReBfOTSdupnROTF69vUIfvaq1bKvv6o3PNCv0wmcxo5gOP0Z9e3yvUb288C7DhjT45bEQWTiay2QY9pC+sankpmJFEoaKyDp1iQiURBozhsyFwp3KcaZOB2K7wG3lIgraU0Js6CdMRbAEYBxfQ/mSlIIW/FMvBa2EdmsUcffrCmmCceVNiFvQC2q1rD0h7xl3OJGTP6bUNQMK+7ChK1iqpZcNfK7D0b2nIMr0eCRFPk9GfWzWIBVqA8d8GFHHesBaOLX1u6Gs93E4yMjIyMjIyMjIwuOc0Z2pos23Onhbob56tLGRbPdcwrnZt2pi06NZZUYLOYWb/1zk2tflRCzoAnpBmesxXEmkpmtT84EtlaTyRFLdW6N2DSCSer9Wl//5S6FGnfydG4nB5PKsxLpHMSCflkMJqS7yey5e33i5WpzP3veOJEuRgdRakArfbc1xMD4myLld1L0S2RnckJLWb1jpet12t+6cFDCl4jAZ9GaDywb2jauDjn6NFDw+rs3NzVqKAcYHfr1u5pcSA2iOY8r7c2wHZel6Jdx0cScuWqJoV6FNoivqHBnxS3x6XjjTMaxydAF2js9wLrKN7lk6lUVuEqP69qCcurtnUrDH740LCMxXNlN3XA49K+4qxVh2rBGltiA54+PiYTiUwZJl+ztk1e6J2QoM8rL93ULu97xSYtVlesmKdHDo8osAU84+KNp7PlqAFyYMnJpSCYFoHzuiWWzmkBMJfrbHQJgwR0hgIe6WoMyKaOiGzqisiJsYSsbg3JY4dG5G8fOKRwnX4QE1EsnHHJ8i1T6iv/Mc1rJrBIyOfVvFwKpzEW9p0LpXavbWsor1UyZ4GxzixZfnS2loJnmrIAKM5a8Q+1EjpoA58TcoQXAmsjfmv8KM5m41nmHNhMlnGl07cyv9fo4hIPooyMjIyMjIyMjIyMljm0RQcOHJAvfelLsm/fPv1969at8sEPflC2bNmy2O27pDVXF+GFDovrlRPyUSCKfFG2ry8GYJ5pzGsBU+fYaO6n163wscE/pS4+tsmzNf1czk2tflRCzldv7dL2zpZJjANxTWvIKlqWw4XoX9C6dY4l29x3np5UVybbyXFjAglxSgL9EC5PdzpvFbTK5jWDlfPtLf84gS/risx7nDVzN5eXppD1J5F5c7a7njgOJ9hl+ztxAsA9ogOAorZzF8dwLDVhOT+LFvxyyjlHZKqm81kFtow7WbnA6mprvBrAroybANDyvu2uteeI+d2yolEhMg7TjR2NCuhx7QJBOSbo9ciK5pDGKDA/zBMF1QD+gDzaJXdZjt+MnZsLaXRZxce4B/fHJQp8fub4mHzoX57Tgmz2emF9be6MaCZvtegL+kH7eIhgxRQQeVBUBzdtWt/RoFD7X585KWPxrPbfIpxFfb8SNNoZsgBHspx5j7GhnU8cGZXDwzFdb3bkK+0+4x22pD5du4BX0SUhj0f6JpMKWbX7FU5ZCuENRZNagOw7z5ySPb2TZQhsH1cpoDAzTuKKrWpAlteA7wuNqMUR3EJe72TqLBCrkJrScC5gsktBvNYxq9Uoo4tC1aI+jIyMjIyMjIyMjIyWGbT97ne/q7m21113nbz0pS/V15544gm56qqr5Fvf+pa86U1vWop2XpJaLBfhhQKL5wMu7983qFvCyRtdDMA805jXA0ydcO/ISEJafW51EeIm5PWFupjrnZta/ajmGK3n/pu7IlrAi3tzPS1QVUOzwUPe16iEvUN6vSeOjKiDr7spqI5I4BngDvDpbm+QTZ0RdYYeHYlrzimQLl/MKfzkOowvMRTOcZ6raBP3xQXK9dsa/GX3Zr1yzr0TOK5rj8hrrjozzq+8oktOT1AwK68Fym65omvadZxzdMOGNvnhrn6NDyDfliJ3v/svz2nxraaQT0G1PYfV5nZ6HEZOQTIZwi0hnz7osOcIUNk7kdTXiTlo8APOPbLn1IQCbJe4xdvolqtXN2tcQ+9kUnNniQ+w55g2tEcCct2GNgWdTx0f03va4BIAzPHickvAx/b9vOzpnZINpcxfuy2MO+NH5i+Fwm7Y0K7jxYMQ4D7fgfdcE3cvcQUnxuI6fziAybXFCQpIBDCq49bjkpaQvxQXQM6r5X7lKxLwKIBkDPonk7J/IKouW9qrObgO+Mo1gb9c1ylgM0jL73Yp2J1MnuGXNuC1iqNZYHhoKqMFyJ47NSHJUtavVAG35YJvFGPTBxizU9G5Aluc7XyuEpmcwmO6xpj2jZ8NbJ1iTHAqdzUF9PM7nqjtvje68MXfHCMjIyMjIyMjIyOjZQ5tP/axj8knPvEJ+dM//dNpr3/qU5/S9wy0XTzVsyX7YoLF8wGXFPFBiwWYZxrzucDsWscuRkGveuamVj/mW8DNeT2gGk5Kto1XA8+zwUPaD3+yx+fJo6O65RsgCSwCxDmdlvS1tcEv2wNeOTgQVZAX8HpkT++EHBqK6pb4Gza1a5TCfOefNtKO4WhKQuoi9SnAmitkt4/H+YvD2hljYOsNV/fM6G6unKPhWEYLmAEqd56akInEhDx3SmRNW0hzYxHHV5vbynUIsGVs7XbShpXNQblv36ACa44D1PVNJLVIGQ5nIOWO1S0KDXHa/vkv75h2vrMP9vrEIUwkRIPfo+NITACFyIhFyOby6t7l56agRx24FBJzRoz8YGefAtShqbSMxTOyqbNR9vRNya7eSX1f3a2uUpExl/X5H9JIgLxGOODG5X3cto1Br7aB7w1BrxbfIzIB/omj9PoNbQqsgbZTKaIU8lporrvJLykya50u1owFi3Hmeoh+KBa12JxGSLhcev54IqNtagx4rGKEpXgDgDFRCcw9/X78yKiMxdMS8gGx/Xp/3MMA1KnUmRxavis4Xqh9toZoU2fEI1f2NGlkBTesjGc4SxSUowBp6W/vwUHrb5nRxattK5vOdxOMjIyMjIyMjIyMLjnNGdr29/fL29/+9rNe/43f+A35q7/6q8Vql9ECANuFCovnAy79Xo86bRcLMM805nOB2bWOXaiLud65makf83H71nKRVgPP9cDDXKmQFj8DA9UVmStobiiwr1pfiT74w+/tlqMjMQVfQ1MUhSpqESc5MiodjcF5z7/tEl3dGtZCVLh8T40n5wzZncfTP2DkTG7seubCXkvHRqKSzFqFyMBlQEJcksQR1Dp/tjVbLBX26h1PymQip/m7FExjHHA4k+HK+FZmHtdaX845w7X77IkxhfFeHKh+j7pqDw5MaaEyXgPu4uJ2XouHAbh9EfNMsbFVLUF9QAPUBNjj7CR7l9zYsM9TKkCWk9VtYblxc2epv3mNbQDC8nfirS9Zo27cv753v6Rzbi1OxjF7+6e0OFqhkFXoy7G5fF6ePzVxltN0GswsAFjd0t7gl60rmyUS9FoPIDKWu5i/SwBvipL9zNoW2dU7of3GmQqYBRyT9ct3+km/+Bzg8s5kk5LOc77oMXZEgtZ1WwIxR+Ts1srJrZTlPLZc8Xv7JyWaMlvnL3bxmTMyMjIyMjIyMjIyWubQ9hWveIU8/PDDsnnz5mmvP/LII3LTTTctZtuMLgJYvBRFzZxg6KbNHepqwxm31IB5LjC71rELdTEvxtws1O07n9zfmbJ0cWAOxdK6rZy4A6BVrb6+9qoV2vYTozHdsn9lT7OMJTjXI6/fvkLvN981h9MRUMtWegDFcyfH1Xno3KI/G2SfK5SvZy7s3N6dp8a1XYwbDs6Dg1F1iFKM68njY+owZYv7W1+ybprjt6PBJ6PxrLqbeZ8c1Qf3D6mzdm17g+ztI3s5L/EMGbAUF6PYmLfscL5qVbO6YRkfsnWB9vY4f/6+g+U84Q+/+nJ1FjuB9J27+rTQGjCQGAgKtOH2tXNyGafKzxFz9oNkVsE5a4EYCJy/3Jt+F+2YgqJLrl/fJtdvbNdxBp4S+UDBJIrYEbcBOE5m3Frs6+hwXMcPiArgJf4ACMz6awx4JafnJ/G1att5IFBN5biDomhfPnTrZbpuv/TgYYXE9mm4xzd0NigA554rmkL6gGJVc0ivbecF4xinXwm9J5m3OT3fX7FkK5mZ5vB6XFIoFhXm8newIrWhbtGn3b0TczqHe+VzBcG0bHTxy84XNzIyMjIyMjIyMjJaxtD2jW98o/zBH/yBPPvss3LDDTeUM23/7d/+TT796U/LD37wg2nHGl3ami8grAXelgICLwUwrceJOFfIvFh9X6jbdz65v9Vcs+TPFktZiQCghgDzW1DnZa2+Hy7FDkDM+r0pdYB2RIIKbOt1AtcScJDIAXJHB6dSCjVbw34FuSKjep/ZIPtMY1Nt/vgZtyzRB4BoXLOV88o4kddL+wCBAS8RAwXxuN0aHQAwxLk5kcjIF+4/pIAQ1/J9+6zM4GMjcSkUCpojC2TlO68TWdCjxdKK0j+RKheSAiACHskVdsZb/GBnv7pP/99jx+Uv7tqnhci4P21lXtCnf+Gqcrt5/U3XrtEvW8yNlY3s0axfILyzr4wR/cG1Svs6G70ap/DTE2P6u80kAx63XN4dUXc07fvhzj6NjiAug2swhyCm/qm0wmzaSbQCLmJyWFO5giRKFtZsMqdRBWG/W8Eo7lbczF4X2clnz7G+X8qnJVoCffPJk9OAraoosrE9Iq/bsVLu2tWvebsUczs1ntC4CeaUKAUCF8jIrWTEtAUwDCtztoPfOdbvpQiY1lgrF0Obr0hxSNtV2eag+lJ2jS4G/fT03KC+kZGRkZGRkZGRkdF5gLbvf//79ftXvvIV/ar2HuJ/9ObzZsvkpSzgCcWigFEAQiBHvYCwFvxbqEv0fGshTtlafZ8rzF2o23c+ub+V/QbekVvKNngKGFH4iUzNyvzXan2nzbdd2a1A66H9QwqxAH2MA/eZL5TGLUpGLBD12HBMnZCbGvxCySqnk3e+YwNYvOOJE+Xt+oBV5oJiesNTaaVvAD366hwruz8bOyISTbKlviDNIb9cvaZFHjk8LNm8Bc4AeWy1Z1xHomlJ5fI6BoxLLJWVkN+rFeDjmbxs7IzIVDIvO09P6Pu4Ngv2FvxiUZ2tThhHG8YTaQXA3COeyclwNK3QfFNXo/SOJ9RxO9ta5Hf6XW3e7HmmQB3uVABrT3NI2wEQBTbjwcZZTDbtipawAn7OYVxx1wK1GY2gzytBX15d01PJbCl6wxqjFAuneHbkQSwDCAeGehXsRlPTIWa5EBnxFC4croxLXAE2QLkSumaLIvsGpuSyFY0yEE3puqW/fZNYU12yfVWzHB+J6TVt97DzGnbxMxzEIzHgLu5bl2bQIuaTeeVEN4XVlik9rYTORhemdp4w0NbIyMjIyMjI6ELR+o/fWfexx//n65e0LUbnGNri2DIyqkfAFLaU21mZZJXetq27rnNrgbeFukQXU4vhfJ3LNRaruJkNEnFHVm55r6f9i5H7qxAwnpEJBWpW4ac3X9tQ87qVfbfjMKjNxOuAPh4KcP58obQ9LjxoABBy7lPHx9QdiSPUfp+xqjVfM+XV3r/XgrNNIa9+B1z+zVtepPdjDOgb2ayVa9ruDzC5sylQhntsjW8OefU+wFjIH31lXPunUoLXlM+dz40js6h5rcQEUFyMc9h+j8OSSAOFjiVnJwKkEzPAfQGeo7G0xgvES3vhcfZyvWyuqMAWpyjQe7a1yPgQ71Bt3iof8hDdsKW7UftkRwjQPL/HLatbQmWI/pWHDmsBOaIPgJxk5eYLBQXLmEc1PqD0Hzv6wjVqbfTmePrV3hjQKAnGxF2C2ZyDs5b4Ao4B6jPuFA2rJYrjff/5XhmPp7WImX3vw0NRvSbF3sjAxU1dLTK0WCpEV46EKM0lEDSeymrerc+Ne9iKegAmMxdGRostHkIYGRkZGRkZGRkZGS1zaGt08Wipowa47tq2sLrljo/GZE1r/XEAtcDbQl2iizlezi3o83X9zgW4LlZxMxss2jECgFO2rM+n/fONf7BzS4FfANLmsHfGdlfre7V+M0fMi7o4cwW5bVtXuQ2zrXd7XHgfIHdyLC5HhmKSFpGHD42I3LVP3ZH1zDn3+uxd++SRwyPSEvbJrnBARmIpay87cuHfte5p5/RWFvuqzLTFyXrNmhZ53ys2yVPHxrS/kYBHHjk8qtEIwDwKQwHiiT3obgzq5259W4N0NAbkiaOjWgQrkyvKurawBQLdLv35O8+e0nXQEPBKIV9UdyfjCrj9pydOyFQqp2AQKFgsFHWMOZf7AXhbw16FpN988oRkC0W5bl2rPHN8XL719Kmyy5W8WcadhwTOeds/EJUnv7dLHtg/pHEBlFk7NZaU9gafvOLyTp0nAOq3njqlkPTF69vkg7duVuj91v/9uMJk3L+2Y9brAmi7FdYCkgMejzx/ekImU9mywbYWfwKokuML6CZjGTqaK0UXNAZYp36Bj3Nt5oqvmcR9BiZTOmZOlorj9tBgVMZirC5czhTjOzsiwdlWgLrlJLbamSndWq9bANiyrGqTNVa6z+uSFMR8kVTPlQxDNjIyMjIyMjIyMjIymp8MtL2EtdRRAzZo4/rkV76mIr9yPvBvIZmw9WgmsFc5XoDBhbp+5wJcF7u42VK4luuNf6DtgMhHD48qsG0NB2Zst7PvuB2BXvv7pzR3FljJlnHOZ45sqMpY4OKsNX+omisWVymOUiIGAHZsmU9mc5o3S/YpRbpu2NSuLkp7zKoB/UcPjyiUnigN64rGoG75z+QL6jq/dWvXWVAWyMjvTtmZtp2NAf0OsLVzZh8/OirdjQF5/faV8szxMQXgL1rTooA0UPrcva7kSOV459qxxwM3fHdzSAt34W7dBeBMZuWRQ8PqXh2OpRViRoI+ddjSfsR3xoc83qGptPzg+T4tWIbGYhmNYSAjmOgCiOOGzoiOO5nEzI29Xvf0TmpWLmMO4ANe+l1uhcuASOaP4mp8OYH4vz/XqxDXLhgGrOV8mKRXipLM5BUQv2prt4zEQzLZl502riEv2bbTwSMw1CrolpfGoE9WBLw6PuwwCfm8Gg+B23VDR4MWgqt0x3K+HcOAYKj5YlFdsj4eJDhAK2AZ1y4uaxs0x2eAwBVxuWWVQW8NOEqbWMNBr1u6mkL68GAmd3C9Mnm2RkZGRkZGRkZGRkZGSysDbS9hLXXUwEIAay34t5BM2Ho0E9irHC+cnE74NB/X73yAK6AEKHjnrj6Fc6tagvLqrV2a+zmXce5pDmqe6oGBKc1YvWlzhyxUzoJhgD+KZwEinfDbPob3Xr65Xbfn18qyrTbvtkOYuAAIGSDU3ir/tZ8creq+5X64PoGolcC1ct7Zhq9b0OFnLpeCS6ROxrSoI1WOjEpH45nCZNWAPgCTueKekwmX/NqL12o0QOXnoRLK8nu1TFtnn+z7pXP5UqG0MW3P62sA2mqfG+fnk7mnf/e9MKguUn4mXxfQx4oD8hWKWYn4vfL7r92i6+6u3X2aa5vJ4RzFtQs8L6hTFZgLsL1hQ7s8sH9Q72M7dwcnUwo+c7mCrtt/e/a00s0QY58plCFkKOCRk2P0bbroG0CceSUSwM7jtXEngBSkqPNWFHn86JjGJVivWp8fvjeHA9LudumY01/a7PVYTttMDrCZs7JrC7TNK60Rn4wOpnVdHB2OqXuWFV1aJlpIL5vNi5OH6ut+j17DcrgWyzCXfrpdOGxdkswVJL0EltSg16Wfk2S2qOOBW/oNO3rkrt39CoynOYzDXplK5hR61yMDbC8tNQf5pBkZGRkZGRkZGRkZnUsZaHsJa6mjBpYasC5FzMNMILtyvNh6bxdXm6/rt16wTR8/88O9ct/eAQVegJ6WBmCn5V4E1n3w1svmdG+AUjnEtATqFiobJo5EUwoTAXcU90L2WqgsKnbtutY5rRPnHDEWmzsj5fOrremzAGcFcK28JueyHf/FG9o0IoHt94DMiN8n23uaZDSR0cJkAEcg5d8+cEhdv8AxJ9AH/qFJEYXTb7i6p+q6dN4bqAlQI9sVvfKKLoXrtaIhgKIio9MKpdX7uat23AP7hhRYA5wHplLqomVtJLJ5HWu/l+xUa5zJlsXhDAxUHFngYYKVrYsTFeh7155+iady2lb6dnIsodfD0Xt8JK7RC8QrpPMFzce1QSDjB/R/7uS4ji/3w4EM0P7nJ0/oe1wH8FmsKNwFtOWhBr943EWJUqyLLFyv28q9LVo/k1Ucz2QVbAZ8Xp1L2n3j5k510fZPJNVxy7rhmgf6Y2UwDFxGwHm+wj6Pfhb39fOgp1iGwwGPW/7wdVvl/r1D8sSxUQvWltzWqUxO/34sJQClHfF0wSoyJ6LjD1y+bn277Do1rnEUxFwQiUG2bj3c2ML4ZwqnGXh7aYgCfUZGRkZGRkZGRkZG51bmX+GXsJY6auBCjHmYCWRXG6/FygCeDXzotv+9gzJJtqjLJdlCQbdd33pF96wu6VpQG7ckW9adxb0WKhsm+rxurXRvxRNML641H4d3tfiCeufIdt9et7ZVRmJp3eLOlvrHDo+UIwkqwSiv4cBc29ag6MsGVH6fRzoilqMV2euOmAaoN2CT82/Z0iH7+qMK/V6+qlk+/OrLdcyrzQVO6Xtf6Jenjo7IRCInRVdRYR/uTrbmv+Ol6/R+ldEGtJf3iZbgGlyT1xe8LosWvQfeRgIEDYg6QVtCfrlyVYsF41tDmlU9kchKkoJkeSsCgHElloFx4MShaFqLn6VyBTk9ZkVbsCZy+YJeJ58vSDjg1WzcrJyxqAI3AbeMK/CbvhIh0TuRVIg+Fs/o/eziXEBY5icLYCV7VyEuRLGobWwO++SGjW3y3MlJhbANfq+OM5EEgF1yh4HuE8mMPHJ4WMf0nTdu0DEF4ALvh2PT4xXOyKV9IF5CM5CJO/BYhcEoOjcUzciq1pCsjzbo2k1o/q5bC5EBxW3QXC3PdqFKOmyz/MQ87O2bFL83pg5wIG0+ZxVqy54x3s4ojvW7re+299Lk1l78st3qRkZGRkZGRkZGRkbLHNqS73f48GEZGhrSn526+eabF6ttRkusc+WEvZBiHmYC2fMZr2qQDjkBJCCKAlAzAWerOBa5nezRF8nni7qVmdxRoNZMLulaUHsuTut63cz2NQFuVLHHvVh57fk4vCvjC1a1hNQNiuOSKAYiE2q5TO37PXNyXMbjWQVk3Bt4e1l3RJ3AuKadYNR2dfL7bdu6p/1uv/+H39stJyj01R6RVa1hhW+4fnkfp2e1yINqcwFbZCv+aDyjMQMaf8EPOu45vefmrsg0sO9cpyOlNURsw1wfWlTO682XdygIxjHbFvYpmIslc+rsTuXy0juekK7GgBYPC/o9Cuc7In5tNHPN78QM9E8myzA1XwK5xHegXLEoo9G0OjvJj2UeAaxATsAlx/P/KGhGnwenUpbzNsH4FPTLjkBoDHpkdWtYhqZS6ga2IKxLwkGPPtQgV9clBZlS1+6k3qe7KSDD0YwksjktesZ9cVYDnrns0WRMupty2kceDrBG1blbRVbMgeVS75uw+qzwugSxaQ8OY9bs1ata1NnKesXt6nG55MhIXK8TT2UluwDXqo+aaYUzERFV21r6ns7ztbBMW7sImtGlIxdWeiMjIyMjowtQ6z9+5/lugpGRkdG5g7ZPPPGEvO1tb5MTJ07o/9h1ivy//AL/x6CR0fmMeVhskF0N0iH7NYowtYR8cmVP84zAmT62NwQkkbG2VfPJI58SwHbFiqYZXdK1oPZcnNb1upntaxwZjstEIqNADuDovPZ8HN6VfeiIWIXLaBOw8kBFBINTdqEvHIa4MDsa/ArPAHG2ExiXMfESNsS84/ETOubvvnljGU47r/2dZ07Jnt4JGUtkZWAiJavbw/KemzaWj2FLf7UxrzYXzCXw0u+hyJf19xM8Qo5sc9iKCag29s57MQZ2vALRCrXgerWCaXbhNq5N5MO7btyg7epRB/CgHBuNlVzCBVnTGtYsYvt+OGGJP3C5RXwej8JDtv7H00Ut3sZ61axXIgFyBQWlqUxeHcg8gKBY2FA0pY7eaBLQb8FFrgM0jqVyks0l9AHAFSsaFVC7pBSLUOQeeRmPpxTQAl2Buz6vSxLFUoarx21l2Bat6AYgMu0ejWUklrZcrsibtiIQoK+0k/WbzvVrXAJ9DnhccnosLrHM9P/maZ5tKbcY5zDjS1yCRjO4rD7gpj05FtPIkJesb1Voi3uX5524FxlbnKpMU1dTUMZjac2gnQsiA9gSXUEG8cQiFBk7nzIFzpangP1GRkZGRkZGRkZGRssc2r73ve+V6667Tu68805ZuXKlglojo/Op5RzzUAvS2a8BvSYT2VmBM33CDfitp07J4aGoOvpwceLgA47OtB2+FtSeC6Cu181ceU0bEhJR4ISI9dx3tkiEettkF/rqagrIxEBG+iZTuj0f6Gfl1+bLRdjqhdMP7h9SwNgY9Eq0FFnhXHeVYw4AxQ1M9i1zjpuU/gEhKebFlnlgpy0AItv1t65sUvBtQ9Jq/XTe6+RoXMEjjtddpycVVrdHAuWxp38/2Nkv44m0fD+RlcaAV1a3hcvXxg3rzEYGajvzh19zldVH3Mkc3xT0S7DLozEIFNwCpnNvnucdHYkqsHS73DKetFyyRD4QvxD0e2VdW4O80DchkYBP2iN+mUxmpFAsKICkzSubQzKWyEhXJKDu3Kt6mhSi/tfufnG5GCvLGTsSyyicVZhbajdQl7YDaYGwzHXQbwHcAwNRvYczkkBzefUhZFFsUy2u7LZwVq7q8cmO1c2a0QtsdWbv2qXFxhJnsgUAzuTlAuIZl5FYVuLq5E3KwYGoRk04oWQhy72B3SK94ynR2m9zkF2IjUJnuKEvdBlguzzlYauHkZGRkZGRkZGRkdHyhraHDh2S73znO7J58+alaZGR0UUU80BW6v37BuXAwJT4vR556cY2zTp9oXdSMz5xLV7V01x2jlYDzja8/MnBEYUzkaBXxhM5BUFQq+ISQe16c2Rnkg1BAZD37x1QF+hrrzpTMGsm/XBnn9zxxAl1SALl2F6+ojl4Vq7rbG1yFu0Cko6UclbtolTOImyVINiOXqjmXHW5itIU9OnPPS2haf2pHHPAoT0O3IxiVEQ8kCvM/ZrCfp3H4VhGioWiXmtNe1hev32lXgcncWU/mR/GiKxjIgQYG0An0JT2k816bCSmTu4fJLMKcInhODIUVQiMKNLFmrKzeG24fCYuoXNaP+x+AWApWjYeT2uO7ZYVjep0xcW8u29S5yzo88o7X75Gdp+ekh/u6lNQSh8agz5pa/BLOOCR7atb1d37v39yRKMKKFDGWrMBNg8lMmHLQfvY0VFZ0RjUftJe1j/AXbNsCxb4REQTkFfbHPbrZwWozvzSP2IeQj6Pun9pYxm+Fori9jAGZz5NVtzEpN6H+dXiaaMJKRRzmjkcrZERQO22PO0qFLTgHfAWTJtOWNEOlZ9XzbQlI5aab7S/5JrNOOCwEwhzLPmzdqbsbJ9/41w1MjIyMjIyMjIyMjK6RKDt9ddfr3m2BtoaLRfVm7d6PqQw0KZJxaICrMFoWgsjTSZyctWqZvnE67bO2F4bfJKfyjmdjUFJZRMKyYDCt27tWlSobY8ngJX4hbVtYQVeQMaZ4HI12RCU7ePDJRhHX9BsbcLNOjyV1mJOo9GMOor//Je3zxlG205U+kLBK+IkAJtA8zVtYd2Sbhdhq4TsEb9XDgye7bxlzHHMAn5xdOKcdebqVo65My4B4Ej2LavCdtDy2rq2sPYDGMqyueWKrml9quynxjg8cUKGJlPqsCRHdsuKJo0SANgeGQLy5uTUGI5Ul3z/+T5Z0RxQwKuRAS6XNIcCsrolNC2Lt9JpbANy5hJIzJqmjYwnawXwu7rVgtZDsZRMxNMKU4GViCiKkN+tv0fTOWlr8Mnbb1gnJ8cSGv1w375BLSwGpCSbV4F2a0hu2NQucmRUoSv9Y6wHJtOSzedL2bG4awvSGLAKvKVL1bD0/7pccnl3o1VELZNXFy0PHTQ3tuSoxWmr0F4LaRGmezba5DNGcTHiFH71xWsU9lJoLD5LqCvvMg+A24DXp1EJtQqOcW/7NY7hWMYAxy0AWEqv2bCaMcvmc+LXBzZWJq+j3thZWkpga0NjA4UvfoWpPmdkZGRkZGRkZGRktLyh7Qc/+EH56Ec/KgMDA7J9+3bx+Synma0dO3YsZvuMLkBAulCIOtfz693Sfj6Ek3JDZ6Ts3Dw2GtdYgyt7OsvZrLONjdP9uTM5ofAK1x+wzXatzkWzjW8lJO5pDimsoq3OrfP1yAamJ9i2X3Rp0S6KUtVdLM6maq6zXYf1wGj6CogEeuHWfOnGdhmYSlmZtnkrZ9XpXgVIAtooXJUvZBRHrW1rOCua4PU7ehTW2mAbCDwTjK4WUcG9nYCYiIY3XbtGvypVqzgdblHajLs0X8gr9ASuT8SzCjrZMm+pKMVMVgYmiwr+yJglLADnKWuI6zNWH/n28+XiariC6a/T8QyMxV2cK1AYLKexBkDRZ06MK/BG1FCjOB7A/RuPHJOw34pEiIS8eiyZtpyvOcP9UwodyWfubiazOa8xC8QgnB5PqlO1u4mohZg6ZKdSWT2fhx781yuXtwqkWf2xqCefla7GoEY/kGHs97hkIpmXZLagcDQquIBd4qF4lxYSs2BpOeDWIa/XLYV8QeH6Y4dHFPrjyq03b5Z2IaA+lw953Qp8eZU1iXPWArxn4CdTZn8aOQd4y3dczV6PR/K4kIsifp9bLutqlNFEWk6OWQ8dKsU9qrDoRXHf2tcwwPbS0MbOxvPdBCMjIyMjIyMjI6NLTnOGtm9605v0+zvf+c7yazi2+B/ephDZxa96AOlCIepcz6+VbbocHLiVsO6yroiC3J8cHFLABsxkSzoQsFbbVrUENVqA8wGFGzsi8rrtZ2DtXCE6W7Tv3Xum+FTl+HIcwC7gxRmZlJ2nx+XKnpZ5FXiz22jDTa9uQS/Iyubp2/Cr9eXmyzvUzYo7tzMSmNVRXE1czy60xX1ftKZFc06JPZjsyUpL2C+bOhvK92duAuqUJYIio27ViXim7LpkDJzjiXAib+qMzJiraxdDOzQU0zXA7w/sG5wGiJ8/NSFvuLr2OnBqYDIpd+3uUxeoFrFyuzRqI58vyp6+Sd1qT27vNGEmLVjFuxgDYBsOWefY437tn0wrMCXC4OWb2uWfnjghR4diVixHPKOuWN4DoCYyWYWeIWyf0GMcq66iFhBL5QrqrAVIAxhxzKbzBf3+ubsPqGPUPsV2bBJbQXzCWCwjPrdbbruyW98/+Vhc2xTP5LWvFO4j6oLPEHnAnEz0Ay5YxoG29k0m9eEG0ROTSStzltgBYi38Pq8C60wiq/ARUOqu8p+uTLag0LQ56NWoBvKFE+msjDoybG1xXImnqpgX1o6fvF2XW8cg4HXLjjWN6jomy3gylZXByZQEXEUF7zZjBygTT8uvtts2ozkQZ+4byxTkudOT0hx0S5jia1XstlynXC3NYSZeDNBqYO2lpVdutaJSjIyMjIyMjIyMjIyWMbQ9duzY0rTE6IKQDUhxeT5xbFS+9fQpfd0JC+stEDXbPeo9v1ahreXgwK3cwg+s+/x9B2X36XF1WlL46R8eO64wtlbbdDe3y6VZlkDGV23tKh8L+JwrRMd9N9P4Mp5AYmIccEBa+avBeRV4s92w9hZ7exwAx5XtRs7XbtvWJe+6aeNZsQDEJPzV3fvl6ePjmov61hevkV+8ZnVV2Fm5lioLbVWKvlOgC2BLpAOwazSeUXj8mzesK/fDbievMzd2JmwtsG0XQ8NlzXeALREDAFAyYQHCd+3p1+vMFpeBPvadXXJ0OF52inINgOdoIiP5XEHhqNNhCbMD1AKc7d8B4UBs5+cWqBnwuiSZEe3/ztMTcnQkLklcuzGKhBUlXywoaPR43Hpf4iVu27ZCnjo2qkXeGAectBQGC/u8ut5awj7pHU9ablO/Vwam4gr9FNYCE0tuVGIIgLqcB2vkc8GYA7SHo8Bzl95/JG4dR7xFZyQoO09NaIwGUHRNa1jbNUR+cSytrzHu3I9ifmkKdmXT0hb2aSE5nL1EdzBenoqUBNrr83qkqzko69sa1FGdzOS08JgTWuKYBRpPJae/zgV46MBnnS+ut2VFRA4PxeXkeEKB8xk39BmRa1uvm3cyRYE3twS9jLhIwEPerxUhEQl4FFhX8vullMnQvTj10+MT8js3nu9WGBkZGRkZGRkZGV1amjO0Xbdu3dK0xOiCkA1IAbanxpKypjV01rbwWhDV1mwO2NnOr1StbNOFwuO5yO6TOjiTWXX74aikLZUQtT0S0O3jdtQtUGemtgHC2C7uBI+26ulj5TG5UiRArfGlzThjadf69lZ1xwKLF+Janinj1W43w+F8jZzZaoD1r+4+IN/9aa8WnwIQfTmW0S349cYSzCSg+neePS19pWxV3Jgut7W2dp2eVEe0czwBjRxnZ8LWKiTHeFqxAw0KIu1MWCAf7lB2KQD97n5hQB2YRBbQFmBvtTE/NhLX3Q24TslyBdwCBRv8bglFfNI7lizDR8AoWbaci1uVgSYagiiCzV2RaWNFe3CGNjb5pCnolR8dGLbaV4KqXCuMazlXkEa/WwJ+r0wksro2AKSMFwcDoRXCxtMyOFWQgA8XbEHvS6ExG+rZWa5ckwzaff1T+qAAAEscA+NOu/m8rG4LKYgkdoE2vnxzhzqjWZ+dTVY2L25sPlfqDh6JSyTgVYDLZ3Esni7DS+6L49jtxgXrEp/HI81+jxYdS5FX67KiBdoa+Kz6FNhybRzqiRL4diYq4GglM7eSjTI/OKnJ6+U9IhruePyEOqHJt7V5rW2Ita9ZmXtbj1rCXr0un1vGib9BzB2u+UKVomZLIdpuoO3FKc19NjIyMjIyMjIyMjJa3tDW1t69e+XkyZOSyVhbh2298Y1vXIx2GS1T2VAKh+2aUrEgQJATFs5WIGo2B2w9BabqiT6YK7BbiOw+jURTcmo8KWvaQnJwMHZW3+x2sWUc+MRWchyPM7Vtpn7U08fKY169tUtdl7XGl3EEGtIf8mc5B3frnbuji+ZartXueubrqeOj6tQFTAEGaRtQtBowr+Z0roxlcK4bIClz090YkJMKOIsKBYllffTwiM7z9LbnNUO2OEtBNyIL2GpPJjHzvbo1rLEKaH//lGavAivJa33+1LgcGIwqPKYt5AlXjjkQH7BsZ6aS2wpTIdphPJZVYAsUJAe2qykgP7+jR35yaFhc40m9F2APSEhcg11AjS8iHB49PCrNYa+kswV1plLETLfZlyAkkBM4O5XOizdX0Kxjxp35wNEaS+ckkc6rKxV4C6zN5omi8OmYAEudUQJAvpYGnwWFXFbhMGIPOH5gMqWA/7mT43JwMKrXA0z2tITkw6++XOeLub1tW/c0FzRgFX6Mi5b1cPWaFhmKpiSWzivw5T7Ef/A5BfivaxcZS2RkajhnvUdxOWCqmwiJBu0X91nRFJBCT4tMJUcUemuhQR685Ko7Y4HUOKAB0E4XLXIyMOe580FjrtLDoGyuKMdGrMgMXMvFkgtY4xbOgdvWZNxevGoJTa9fYGRkZGRkZGRkZGS0DKHt0aNH5Zd+6Zdk9+7d5SxbxM/IZNpe3HI6JoEjANtKwDZbgajZ3KH1FJiqBX6dMJct/QBKnKm14O9iyc6BBV6xfXoqkZOVzVYhp0rRDlyRD+0fUsCBg2+mts0EsesB3NWOmc0lW3kOcI9iTIvlWp6p3TP1BTX4vQrLgHy6tb5QVNfq4FR1YO5cS7PFSTCPQNLLVzTKUDStjlItlOVxaZ4pbXv3zRvL7bRyVVM6NpXXcxZ0w2kJ+BuJp/Xz0hr2yWA0o+B2Ip5WtyzOTo7DGUo0AaAXOGsXrXOO+efevEN+6/8+pfPidblkRXNQi4J1Ngbl2HBMJOZSwIqr1+Ny631wBPN3mr64XW51d5Jh6xwrohnsGAtcr4DY/smkwuRgyCMrmoJa+Iv1Q9wB8B+XMS7k8WRajmfylgPY49Yv1rkdf0C/KeRFXEGhaGXruhUIu6SjISDXr2/TLFwiJ+hTPJWT+/YNaNwB7Uxz7VII7qGhqALbyr8TjAdwls8hfwti6ays62iQK1Y0ymQiq3+vuC/iv1gUVSMiYnDKypfmMwxMbgy6Ndd4W0+zQmlgNpEPAN+3Xb9W0eTTx8YlkSV6oHZhMqC5RoxUec+Gm7ijAdv1QlW/BwjrkmTWKm62oskv7ZGgQvqTk3Ftv/NSdiZuLXEec2Rgq9FM4iGAkZGRkZGRkZGRkdEyh7a/+7u/Kxs2bJAHHnhAvz/11FMyOjoqH/3oR+Wv//qvl6aVRstO9cDCWloMB2wt8FsJc1+/fcWMGab1qp5IB3JgycbEDTgcTUko4JFXlJydwCS2SQP+2JJOwak3X7emrnvPBLHrAdz1HDPbOfQBuDefOas1dtXaZL8203i/9SVr5MsPAkpzCjrXtDUolASg4jgFFjL/1cAy8zASS+kxuHVx51Zbm0DCppBfOrwuzZ0FgLJFn6JxlUXdnDCb69lOXhy0QEDew2ELsLWAoFfzgnHoAgRv2dKp0AyI/8yJMfEANn0edapOJnJVx3xFc0j+4wM3yp/9517Nx8U5OxTNaL7rSzd1yKnxhEJK4OXLN7cr5IbdBb1uySmEdsuq1tBZnx/nvHz32VPyfx89ptARt+hNl3fK6bGkHBmOac6rHZOAA5lt/xb0s+AzGav+EpztaAwq8AGWhn0e6WkNaZQAWcGMBQW4aOd9+wY1K9eeG4BvoODR8cWpCmplBRBpAGisNr98xijOBgRlrMl2ZZxZP8OxlJ5nx0Z4XEV18AKAaQ/SOIV8Udxuj7z/ls362ufvP6SRDsBmoDOREd1NQUnn8/pZnwl2MtapVO0HmYBzXOFk9J4ePxN7UutYLUyWtzKMmUvk91r/GedvTiJjOajnovlEMRhdeuK/bUZGRkZGRkZGRkZGyxzaPv744/Lggw9KR0eH9T+e3W658cYb5bOf/ax86EMfkueee25pWmq0rDQfELgYwHc28LtUObb1RDqwDR6IxTFARzI2k9mc/O0DR2UskVUYdMWKiByoEZuwlKonTmKp5mw+BeEqzwHgAQGBogDAK1Y0q6MSqyHb94+PxBWssh0d4MeaALBWRiGMxdJyaDAmxUJBHYjZXEEhuj0exCfgqjw6HNWiXFesaJKBqZTOJZERtMPZLrbLO/OBgY+VRcoAykQi8D6Q8rr1bfLM8THdXn/tutbyvQH5n71rn0JQ4H5z2KcuU8BurRiLa9a2yO6+SQV2AEvGBCjJedesCcjK5qACWzKAgaEv3tAuJ8bi6uQFhj5yeFhaw9XjORRIJ7IylcppHMLzJydkANetxiYUJAkg91ouUSf3U+dsJKjjigMaaPrTE2May3D1aisjmXEnAoHMWwqK8cXrRCOgYgkmegtFfc3KDsaxi7vUyhqu1mbGDcBs5/Di5AXEojseOynJjJWDzPWj6YIFiLVIGA7ngt6D97jnt546pZEJAFtcsPkMkRwF2ds3WYp5mBmPch/WS60iYEGPld0bDvjkyqaQrs1EtjZBJeLAviWQ3x531lnY77GiIwyANVoi4eY3MjIyMjIyMjIyMlrm0Jb4g8bGRv0ZcNvX1ydbtmzRAmUHDhxYijZe8FooMLvUgG8941ULIi5Vjm09kQ52DqwFbQv6+zceOaYOSByHuOM0qqEjsqRF0eYLTmca94VA+npBuvP+Tpcq5+BCpWiTnRlMhAHwFuckrlRckNtWNsuONS1lNzPA7Ac7+2U8kZZ/j2c0I5Yt/bk84I75sNxjzkJ6bLkfmErLlhVNcpLt8m6XvOvGDeWxqCygxr0Ar/Y6BCrbzlu7SNmW7kbNXKU99+0bUmBrxzg47831nfEElVEWjE8lhLaL1AHtTo8ldCwYG0AvDnPLLXtcYwFwk5JVC8gEgLeF/QplG/zeadm29v1+cnBEoum8VbisYBfLKxVncxU1TzdE6KvLOsYW6/ylm9qn9aWLjOCxpLpduedLN7Zr4awfHUiVYi6K0hj0KSwFPJbqmUk+T2zAGeppA1e+P3VsTP75yROaTXtVT5NcsbJJx4yHI0BYrhFN52R376S2g3s7+Slw21UA3Pok4C1KAWDKfV2iubwvkDWs8QHWXbkvawZHbL1u1pkiD1JEYmTymhVKXAbO7kS2tpuxkhEXHf3QeXK4cY2MFluv2NJ5vptgZGRkZGRkZGRkdMlpztD2qquukp07d2o0wvXXXy+f+9znxO/3y9e+9jXZuNHKejRauNPwUlY941ULIi6Gi7ea6oHB9r3sglh8H5hKKpAiCzOXz+t27aUuijZfcOocdzJKcZxS3GihDxrqBenO++PQxE6Ia5Nz2HLP6zg7iUDABWoVCXMr9IKrXdnTNC0KA8AKsAUSTiYyMjSVVmelOjgp/OWx8nGdUQrOceLe5LU611llX4DDlTESOKl5H+cj8RzOyAf0tZ8cVddke9ivYNo5FzPB8WqfC7s96hZ1uIztMX5g35ACYkA1EHk0llUHMSAyUzonWiretq8/Om3OOT5fKOjYesUlbg99AGxaWJAxZC6IPLChIcJ9TJEwZ1/ou+UijktTwCvPn5rQOAuKnRGlQIEwHL3AZO7ZEPDp9RmfrsagQmXQqUcLrhUVxv5gZ5/GQgBpT47F5chIQjOsW8NeiWdyCjC5/rMnxtTVS5wATlsbalKgK+TH6eqVdL4gQbEKpzGWgNC8naNQoXqBbT3wlPv1TSTkkUNxScwWPlvnPV113N+G30ZG9Yq/F0ZGRkZGRkZGRkZGyxza/tEf/ZHE43H9+U//9E/lDW94g9x0003S3t4u3/72t5eijRe8lmrL/sWq+YxXpUuUYlGL6WauBwbbkMoudoXj0uvxiMtVqkjvc8vGzgYFebPB5Pm6s2udVw84dY472+aPj8TkylXNC37QUC9Id94fYFgsFBWacg4w8t69Q2U4iZsUmoircyqV1fiByj7R5+8nshoFYG2KL6gzly8mxF/anu4cj9nGqVpfGPP/eO60fOvpU1pIi7zTTZ0tWvzK2VfmAShJH6Npkd29U9LZFCjnHs8213axO/pD0SziOP7il7fre0eG4zKRyEiD36MPBnhggMuWrfMUxrPcohaoA3Libk1mMwqPA/pAoaCAmznHsUo+M8LBDPgkuqC7OShTiayMxDIKz4mMoPAZUQR9QHYR2dgZUVfxHY+fmNYXvoDBXBvAakFtKzoAiOx1WQD9ddtXSjafl2dPTKormOgG5gnw3jeZ1PlGVhQA80nhsKKcHE3KqdGk/Gj/oDqYuZ7m2opolMOp0biuF/oLewp4XNIQ8EpXU0CvnUjnpTnokXg6WzVigIcGvD4b6HRV+b0a6nKXXmct7x+I6vfFiDao9xIG2BrNVf/6zGl5+8s2nO9mGBkZGRkZGRkZGV1SmjO0fc1rXlP+efPmzbJ//34ZGxuT1tZWrUxudLaWasv+xar5jNdSu5nnEg/ghI+4k/onkxL2e7XgEA7ElrB/zv0BcOESnQ3scR6RAGSF9o0nNJ7hN25YJ6/a1j0rOHWOOyALB+tiPGiod+yc96/mUqX/TjiJm3k0nlUIe+vWrrP6xO84R8mIBeAl8kXxe0XdudzrmrWtOhebOhvK59qZtjg7mS9+n60vwNG/uuegtovcVjJwcelyLPPhnCuu6/G4FVAmMjlZ2WRlzlauXc7hXGcBO7JVKZwFNAW7sYX//r2D0wraOR8Y/OjAkBZRoy2sQyBh5V9oHOC8Zo85cw7AJTYiEiAf1is+T0HzLIHQg1MZmUpltEAarwGhOxoD0h4J6nyhWp9DxvzevQNyaDCq8BVwCbTFvQscvu3KbvnML23Xub5zV5+6hFFT0KtF/XDeAmiBufF03opAKMUWlKMC8kU5MZaU5qBX3bJFsXJqgbdeYh1EJOSlGJzPgs3jCctdmy9KIus6C8zajtRaQDXoxWns1jU1lcpPy/cFHNc6zwlyU+R+nEfRRx4GAI6NjGqJ4oxGRkZGRkZGRkZGRssc2to6fPiwHDlyRG6++WZpa2vTLatG1bVUW/YvVs1nvJaTm9kJH4E2v3nDujJwJTO1HtdsZX8AWDCV2aA05+GY7B1P6HbzeCYmdzxxQuHabODUOe7AO7aUn8sHDTPN+0zg13YXEztQ6e60c1X/+cmTWqSrKxKQXLEoL9/UIR+5bctZ13pg36CCUbbdP3cyq7+/6dozULSamBvAain6VJ2we3qnpLXBf9ZccRy5urhHcXwCPnsnUjqvOFefODaqjl3AMa8zl6fGkrKmNaRAEAgLVGU9RZM5zfp1QlvnutnXN6VwlDiCiWJW3AUrTkIhpub6iv4cDnpkY0dEOhsD5TmXoktCfmILstIS9kl3U0jG4xQly+i9AaeZXF77aK9R3L18nRiNyfr2SDn6wZ4fADRRDMRa+NxWATMU8nk08/nBfYPyi//rEVnRGJT2iL/sqN7TPyXxVFYLjDG+Xjd9yJ3lFrWBNGC3tSEgQX9O+uz82YIVh0BGMS5jPhtWVq4VwcBrRDxoBIPbGhcnDEaVMLetwSeXdTfK216yVu7c3S+PHhqRnNsC0Qp6OW6WHALbcXuu5K4Ckvl1qYDtue6f0VLK/BvPyMjIyMjIyMjIaNlD29HRUfnVX/1Veeihh9RZe+jQIc2y/Z3f+R112/7N3/zN0rT0AtZCijhdiprPeAHrdp2ekEcODasDE+gILJoJjs4WQTDfiIJK+IjLca4u4Eq3sZ3pWgmlK9u4qiWoLlkKOuEsbAxacK0eiF2ZQVpZEGu5fk5sdzGAkzgEgCew1ga39jWZAwAdjrHDVQpv2QAWl2lT0Kff+X02aIuIC7BiGCywAdRkro4Mx+SePWfmB0cpIBLqgxdgAAEAAElEQVRnZ0OAn73luQbY2oAWd3Bz2KeAFMALdCenFdcs8FKLdFHAa6Z1k8vrWtDiWsJa8Egk6NOCZJ6MSyK4Vz0u2b6qRW5/y4vKY0nsApnCqWxO4S0AluN2n55Ul2/AS8yAW7aubNK1SR8p2nZiJC5jiYy+NjA5oi5eIPULvZMabbCqNSzjiay2mRxbwDgQkXZw3eFsQcYSk3I8ENdxWt0Wlit7OuXAwJTmzrY0+OXgQEz7BGP0uq01k8nmJVMCpYhrXruuRfb2TclINK3g2nLQFiUS9Ks7N5HJi8ft0c8Gfl3OYUyZD37mfWIkbHcywNeOnOV35oPiavQRyH5yNKbOXWfsp/Jaq7aZqqqDtw4HLOA3m7Paov0r9ZHz58JaFdKfQ+6Go5nxcNSRM7qARZSIkZGRkZGRkZGRkdEyh7Yf/vCHxefzycmTJ2Xr1q3l19/ylrfIRz7yEQNtjc6L7K3wx0cSCrtwKQKgZoKAs0UqzDdyoRI+UhBrri7gauD3vn1DZzlfK9tIIaYbN3coeEuxVbvoUmciRZ9oR73wuR5n61xh9lLJdhcD8wCnjxwa0aJXziJq9ngCUCFpxBgwbowrAM7uCy5NQKWqaG2nn0mMRWvYJ2FcoCUst7o1JKtarLnWLcUUTPNS3G1CM2YpiMY92e4PQLXbBvwD2N6wqV2eODKqEQTqaM0XS+30SGvYrxm+tBMHLL8759W5btKZvGSy4xLLWEXCOH/biibtO1B2bVu4HENhzx9zzjWIJ/jHJ07IZCIrg5NJSRfIvAWWFiWdE+ls9Mj2Vc2a0cxxREKQL8vwsRaJfmA8njs1ruAS2KxFskoAGZDaErKKgDFvnGeDTN4Lulxyejwp97zQrwAViM66B+YCexkTrkvGMfNMFu1UukQHC6Lt56EiULWnJSD9k7SPPF8LxuLypcsKFYsW8dW8W2yyItII0C4VLmOOALa0jWsQzREJEm9RkH39U9qmgam0OmxrSaMgHL+XAXPpe+WpgPoglfJcouM0XnoQQ5KCHltq71yg7bn0SSoAD/plTKM8jC4GkddtZGRkZGRkZGRkZLTMoe29994r99xzj6xevXra65dddpmcOHFiMdtmZFS37EJHV65qqhuOzhapsFiRC5YLeFKLe9lZsbO5gCuhKccD+iqdr5VtBE7hMt2xulldosAT4B7b3kfjGbl/36Dcuatft+WTk7q5KzJn6LoY+cELBb/O88l6Zes+rslAaav9w4dGpDnk1X5/49FjGlHx+h09ejwwzh4v4gUAYXZfOiIBLQ7Gtfh+yxVdM94fOH5yPKGwNZrKycs3d8j7XrFJvvqjIxoHAORb2RK2irsdGpaByZQ6VQFokYBX56DSDQysJHbgqlXN+v5kDxEFfr0HW/of2j8sg1Mp7efO0xOyPtUwbR7sa+Ek3jswJdlkTtcB8JNiYuQqf/6+g2fl9laOKUXAgK3AYzKVuQbubeIlAIhbVjSWYQ5wFJiq2cEKbC0YCmwmkiCdLcqxkbjm5K7TrOe8OnhftbVLYy2A2fkShAWq4uyFyuLU5XcAc8Tv1fsOKSC2wKAFiosS9HnF7S7oHHCdaNpqL1+5QkqvR/GxiWReo3z4LNE2t9sCp9miqFs3U6C9oq5eBap++mfNOa8DZskkxmW8p3dSogDdvLvssMX9C0xmfoG5uHtt9A90roxcqIS1QY/Ii9a26XwPTCW175l8XvLRzFnnzeRgBfTaY3E+Ygq47WQic4bEG13wIkfayMjIyMjIyMjIyGiZQ9t4PC7h8Nn5lhQjCwTM9jmj2bVUsQRzLWA22/GLVUDujAs4Vs6Knc0FXCn6bxenYlzsAlfV2sixbOm3t/XjxMRtmc4WZHgqLSPRlDx3ShQCHhiM6TH1toW5AVRauaUNun2/GsyebQ4XCn6d5wMTcLcyrgA8wDgu1liKDNacJDIx+YfHjmtbneOFgxIHMm21+0JRrXfduGHWWAj7/owDcRxXr26Rte0ehb5PHRtT5yUZscdGcpovDCTkOGAsoBFHMECUewBXGaee5qDctq1L+iZS5XtXW/cUtSvfO5GT1a3M+dnzwPn/ubNPxwBo1xjy6vZ/cpXt9vGd3xn7aXPSO6mO9Rs3d2r8wTPHx9QBC/ws5kVWNof0+gBXwDLvjcUZy6K6adUFWrCctQGvR4qFvHhcbumI+GVVS0jHBPDKuPz2y9fLPz91UoankjKVFGkKe6Ut7FenLMXWGCtg93t/dpM6eoeiaQWo3FOdv/mipDJ5hcSFCkipGa7k1BallGNrvYfruEBsgl5j+vhyzEQ8o223ASw/sz4KhYK25/RYQqLJjGA+5HPnPJd7UjwN0F0suHTMcL1bMRXWNSsV8Vue26Dfq+D/g7deJrffe0BjMlifOdzANTJpqwnHMOA2Bigu4EyWcy7HsBhdBFrVGjrfTTAyMjIyMjIyMjK65DRnaHvTTTfJHXfcIX/2Z3+mv/M/rPkfsp/73OfklltuWYo2Gl1kWqpYgrkWMJvt+MUqIHfGBdy8INeuc1xw7j55dFRGYxkZjKa0eNOrt3VXbaMNKoF84ioq9LOdu9Vg30zAldfZWg8s3JmckM5IQG7b1j1jW+05dELn/f1TmtdZ73hUtgmXqF2867EjI+oqxJWYzOSkKeRVOA0zApg1BogYKOg93n3zRr0ePwNsgYGVfalnrZ1xOEdk56kJ7cO69oiuE9o2Eksp5MMwShGvzZ0RBfYnx5JazGs8LtLTEpJ7XxiU/qmUOkkZJ6IKAHYzzYHTXf1cYkKePzWucQnPn5xQ2PqKKzo1EqNvMmXFALhd6vq0t/pXurPJ9/3us6fk7358RN+/sqdZs5AZF414GI3rOHIdQGl7g09+44Z12h4ylNP5grpfkwDbUm6q3+2WfKGgEBPwist1ZUtArl3XKsPRtFJQO6ICUP2emzZqdMWp8YRm377QN6luX+AqTnHAMC5yxgzQ7HIVZSRqbb0n05Z7KVwtzY+dRQukpu8Tyazk82feo8Aa/QGcVxbh4jfGLeBzK3jVc4oiyZJTluseHraKDFYTr8dZjyXgyyVw8c4kjWkAJhcKWvyO2AXWJ+MAmM7mS1EKs+V12IcQyUEeckEkNVNuwwJkTLSXlj73pu3nuwlGRkZGRkZGRkZGl5zmDG2Bs7feeqs888wzkslk5GMf+5i88MIL6rR99NFHl6aVRheVliqWYK6FrGY7fi7Xm81ZuhiuXee4ELWw+/S4uF1uBbE4Bi0Ie7Yz05nnChRjezeuQ7aHV2vLTNCcNgAYe5pDcnw0Jmtaq8PsanPovC7b4QF3QDNnG2qNY2WbVjQF9DyKdx0Zjlt5pThB3S55UVeLulkBifyuMMzjLruQ7b5oFmxHgzpVK/tSz3wCzkfjwOGi5o+SJ2y5qvdpQTFySQGCO1a3TAOxNjDGGXxiLK5wlPGkb3aBtLt29Wu0AdcNluCh7Zy2i+7hbCUugEgBnKBECUwmM7K3f1KaQn6FlUdHYgpwcbcSawD8rFyLOIBxIg9FM+oiffLYmDSFfNIW9mlxsXgmL+0NAdm6ollOjcdlU0dE3nB1j7YF1yhjjXDXWnEEomuLB3qukq0UB3TfRFru3tOvv/PeisaArkViPK5Y2aQAEGB7aiwhg5MphZVch+vy5tPHx7RPfq/LKkCWs+IQrCJjLvG4irKiNaj5t73jSY0m2NDRoGNCJIKdnavFz3wecbuKZ3JwHXKXCqVlC0V1i7oq4gUYs9kwKHELtmYDtkGvS9ceMQjM89GRuOwj1iJnFZqjvXNx2XJIIlsUn68oifSZiITFhqwG2F5a+u5P+2THmrbz3QwjIyMjIyMjIyOjS0pzhrZXXXWVHDx4UL785S9LY2OjxGIx+eVf/mX5wAc+ICtXrlyaVhpdVDpXsQRLqYlEZlou6NaVjfLQgZGa7mAbBgIYOfdQCc7NJcvVOS4AKJyKuEijqay6KoktqHY9G1TaTlfAIKCO3MxNnQ1nQdeZoLndBt7HWfqaq6q3v9ocOq+LMxTQjAPV6WKuBYwr20TbcW1SvKsh4JHGgE/HgYxRMmY3dTbKyza26zgBl24tAdVqbXT2BTEvjCVgeW17Q835tCMvcPsSe2BDc8Ao0RN2biptrYTAwDncn/QHly/QmDYwL/R/Vy9QNittDT7BmArYtKGts+heJOCRyYIFSAHgQOpEtiDZQlod1aA6smwBth2RYDnD2OkgZz3gRO5qDKgDFRAKCAaoAj8ZXy3k5Xap85XxtOM5WHeAURDe3r6ognN1lwJHi0VpDHrUtQqAzBZymg+rxchcIk8dH9MYgZaGgPi8bnVwj+F+nkpbAN5lXQeoTS7s3v4pWdsWUscykHNDe1EODE7JcDSjWb/cl/tcs6ZF3v7SdfKTgyMKKq/qaZLnTk1IIp3XqICAx60F0AZLbmxbrhKs5UrcH5e0/bqC45IbdrF9qxSxawh6pJgqyHA0WyogeAaKlnNpyd8tZe/OJk6ZonBcxWtGRvMV7m8jIyMjIyMjIyMjo2UObVFzc7N88pOfXPzWGJ1XLbQ4VL06F7EEi9mXatf663sOyA929qmDj4JEz59qUNdmLXewDU4BgnfujiqwOzjHPFnnuACuAHeARbZtA5tOz5KVa+fiisw8LjMVTqt3bqodR9tskJvNFzUKoLKttYBxJQQGNtvnfv2RY+U4hLYGvzpBAbDV+uacS7b2444FSDrb6MyqZTs+MQe4lO0xo3AXObCAdwDtDZvatXiY3VbAKFnB9MNuq31dIiEoBgdCA8oCb5PZvHQSb7G1S06OJXRtsK3fKq5WEL/Hyl+1s29pA05Yiu6RU/zEkZES6LPyWQG31AIDdLaG/ZLL5xW+4sR96phf2+8cd677owNuGUyk1Wmrhb38boV+xE0QlUDebv9EUmEixbZY+855WdUSluMjcQW03NfKl+Uni3wCadmuz7V5BaBtRxNwD4qUAYzH4gBYCy8SL4Ao56XwvVhUxytFwhBxIJppm5uU8bjlNAds/ueuPrl/35DmHAPTf2Zdq4wnsgp2GUtczpXAFlG4jhgTirwRtUGxPvJzgd7I43FJoTIAdxE0kchJPDOlmb8A91rK5esHxgrOq7xuIg2M5qupVPZ8N8HIyMjIyMjIyMjoktO8oG0qlZJdu3bJ0NCQ5tk69cY3vnGx2mZ0jrXQ4lDnKpagHiC7mH2pdq0nj42qO7HB79Ht44CeFRoZMLM7eL7RD5Xjwhj8cGefFoKKprOyvadZ/D7PrNerZ1xmKpxWb2RE5XG0V7e6u3BDFuSWLR36u0YUOOawlsu6FizmO9d5aP9Q2VH7+h09NQF9Zf/tDNmZsmpxl2pGqNc6h7HBDZrO5eXUeFLkyKh0NAZnbCvzxHXtYnBFKSisw5ca8gFlCwodbeDb6Pfq73xRMAyYeCbPeEL7zLwAb3vaQuJ1uWQymVMAurIlpMXmyJIF0TH2sEBg7r17BxWWfvoXrpo238Djf3zihIJZCpCNRtN6DxglmbaMJ8dwjdPjFvarzAjGqfvwoRHJ5PLqnAXwEkuBkxRQSnv40igDN697JZHJycnRRBnUck4lWOQtYC8ajWc0QzfodSsIfuPVPXqPZ0+MaduINAAcF4s5hd+Iwm6vvWqF/GBnUY4MRxUMV4OfgHHagwuczzZFz4h3IJbAYqnVcSdrmrYQEwHs5Wcn2w15XZLMWbAa4M13p1uWH7ln0bX01cIMsDWar8KexX+Aa2RkZGRkZGRkZGS0yND27rvvlre//e0yMjJy1nts0c3b1V6MLjgtBCieS9UDHhezL1wLhyQuxBOjcd06D2iDgAC2+A6wAgDO5kBdrOgHINqbr1ujUM8ei3quN9u42EC8lot0vuKa9+0bKrdzX39UwWflHNaCs7VgsT0OfNUD9mfrvz0/zHdnU0CjDxDRAPY5jA0g9YYN7WBECXg9OveVc16coRhcxO/T7fo+r0c6IgGFlk4ISozGjjUZnQNALhEGsUzOyjM+NKzO0eagV/rGEwppf/OGddo3nLoc85ODQ5IrQV0cw4BnOy/28SOjcvu9B7TQ10gsoxD35ss7pLsxqONG9MDTiayk80UtIIaLN5bOK4wEoOZSOekdt9zJ9rxw3p27+uS5kxNyPJZSMBnweeSGLV1y9ZoW+dGBYemfspy6vEebAcSAb16oNLBq0a2SQ5f3iUrg+SCHBUt9AcYC3Bn3z961T4FxPJ5WRy7/LSLvl9NpJ+7i7zx7WgvPAWeriWJmOHr1M00ubKag7eCjDv6uJt7HiUy/Qn6PFmyjkQBfPdfrlpDfKytKx5At/NypcclUZByUbjmjcBFXPCM1MjpnmsoYp62RkZGRkZGRkZHRsoe2H/zgB+VXfuVX5E/+5E+ku/vsqvFGF64uhCzZeoGs3ZcjwzF1CuLurJYh64SUbB+3IZnzOK51/94BGY6lRYouBWORAE5ItoGLdET88msvWVvTgeoEiJ0Rv35RbIgsXGDSQjTXKInZ5tgG4pUu0pXNwWnb8+caN3EGfBcUXB4bjsrlK5rOmsN6nbyzua2dYJ+oB9yxuFUBlVPJXNXoh8rxvG1b97TIBHvMmDeAM3EU5MRWxjxUe6hwVjE4t0uGoi51WLLtuDMSmDYXvE9mr90vxp5MV4DtsdG4NAW8Cnrj6bwWXPuvPYMa90D7aCeF5iiwdt36VvnmkycV3O7unVA3KG7PRw+P6JrHRQps3NM3qfclE3YyOangE4cs7QNC2kWweB1wSN+ca5c+37t3SDAlE32hzliXSx49Mip7B6Kae9vVGFRoyWeM9hwhS7f00KNSwE/WHPcnYxfna7ZIVTALIveOJ+TnShnEjM8nXrdV5K59cvcLA1JUKFtUCPvyzWfmEGeyXcCsUhSNI9iBvxOc7nK4YNMzPIdkXJgD2tsVDOpYMh8Rv1faIn51EaeyGXXjArGBxvO1u9Js29lvZHSuhZPfyMjIyMhoOWj9x+88300wMjIyWr7QdnBwUD7ykY8YYHsRajGyZM9FVm49cBmgBKh77MioAshVraIgDVUDbCOxlJwaS2oBKbansxWcLFM7+xTgBLSlYBBxBORvXtbdqEWSXr65XX7pZ1bXbK8T4t2/L65Ov4DXreAMAZxmG49aY1gv5Kx3jm0gXukiZTxmcjfPNsdkon7n2VMyFsso4KKAFjAdODmfBwQzua1pC25o4DAxB6PxtEY9XLmqWeJptr8XZLIEbJ3RD6jaeFaOmZ1pO9sYOoF0ZTE4nLTbVqZkNJZRF69dKK0y+5Z+sLXfXs8UH2sO+jRuAHAMXQTejifScmVPk4JeO/OYhwvf+2mvQj5cn8BKzgWaEhMwlbJe1+iKvFV4q7s5KEGfVyEywJKcWtoHwLXGTiTgFRlPZOS3vvGUvPUla8Trdsv3nutVJzpQ2IK7Ivl8QcbiaQWZtkP46HBcwS9ZseQw552E1AFCKVBG3MjmzgbZ2BWRvycGJJmVgM/y4HIfGxrbLt/HjvB5Kkok5LGKl7lcWiDQXg9ERxChwPor5qzYAzs3F9DMl81TK7lqyfCrY4Lr124z40FngdRc3yrkltUxIG/avv5QNKPXDPCgp4bTtx4RC0H8xAzRt0ZGS6IUQdlGRkZGRkZGRkZGRssb2r75zW+WH/3oR7Jp06alaZHRedNcAeD5ysq1ARZOwVpuVaAaUIuq77gHgUjcv9KVawM2AC1uO+IG+P2BfUO6ZdtuM04/AE0qk9et6cQh3Li5U6Ec29tngq5OiHdgYEodvWyZBnI9enh0xuJhtsivveOJEwps2OoOgKuMBFjIHNvQdX//lDpIgWlOFynZszO5m4Fm//DYcR0nMkaBvG+69kz72OaOy5bvjHF7JCgrm4KSs3Nu84VpjteFuK3pB8AMNye5tAUpKnhnvHmdvl2xskk2dUb0XACq7SLmONZK32Rq2s+AaKIL7PbNNF8zPVSY6TPmhM2sR6Br30RS28z44BSm+BgFtr777Gldh7SGnFhg6FU9zXLblZv0HlyLyIAnjo6Kx+XSwmagSAAvDyWAtAj2lyqRRVjiwGRaelqC8t6bN5WiN/q1ajw/D00WFGxyai6T18/fVx46LC0NAYXMOLMBsrSVa3EPEOtoNKWOd+YDLErWLJCT6/DZAZ6eHEtqHq3NbynOxlrf2Tspu3sn9WeyainUFfS6JFMoyOfvO6jxD8wx6zaazunngjkDNHsyeflfDx2Rr/7oiELmYqEg2QIRPkUtKqZO+Yx1vB39UCnWJn3DWc+YEhnRFvZr+3Q8yap1W1EKvRMp7QvXs7y+Z2T/nLYpbh2qzPbl97GE2aJudH7kwaJvZGRkZGRkZGRkZLS8oe2Xv/xljUd4+OGHZfv27eLz+aa9/6EPfWgx22d0EWixs3JtIEuuKN/5faZM2+cT47Lr9LiC0srt8DZgAzQBmYA+gDZgjbPNk4mCunCBVz4vmZ2uumMknBAP4JovZBUgsl26Oeytazwe3D+kBayaQl79TuGt+UDbWnI6PKFObDF35rTO5m4GcuNEbgr69Du/O6EtQAvYCLCj72wpx9Vp59qytR5Qaeej2q5dHLoANcYI6GdvD2ebef+kBZcBic72cN7a9gbpabEKw5GBmskVZefpCY238HldZZcv7tHnTo4rdMaBSpErXJxs5ycSQ0o/z+Vhw3wd6wqbJ5LqEh1LpLVvrHF7PHHcWrm4Ccnm8gpIc8BP3TbvVdcw/bAd4sPRtHQ3BdXVituc6zHWAM2zQmSFawDbcYF75A1XW8XcbPcv93z6+Jg8c3xMi6YBJnGtjsWzChK7mgIS9rkV2uMiZ40wb6wnj8etBbqYD4qo8Vmz4SyFv2gjADWfxbF6BnqyZlgrySzxCGfaSdPJA37k8Ii6Vu2HDOqELZ5xpGpUQdTKuGVObeHWxR0cJIPWlZdcgbZSRKxQBti2iiXQ6nHnpaspKFOJjOZZ8zBoJJ5RaNsYcJfhqj20i1Hwq1jld1cp21YdvkZG51A87DAyMjIyMjIyMjIyWubQ9l/+5V/k3nvvlWAwqI5b/seuLX420NZoqbNy55Jpazlo2VJcrLod3gZqFHoaW5FRQAa3bA37ZDCaLrd5y4rGMmDEtUg2Jy7BeqCcE+LdtLlDnj81IU8cHVNg2xqenmU6o1yl/9HsOrONe76qjDPANWmPKTBzc2dkGqCsBiKdecAv9E1qVizADRci4+nMEOYeuxr8eo2JoqibE9cxkLCy2Nn0OIlBpXjMI05OG9quag0pUAXaVRYBs+ee+65rj8irt3Yp9AbOrW0Ny+BUSpLZguaXUnzrsaMj+nOxBBGBt7Yr2rre3B42zOamrRUjobC5LSw9zSHN3HUJQNCnma78leVYHir80xMnJKEU03KrAhBxguLI/ccnTqhDuiHgUZjJeHU3BRR4Nwa82jfuw5p2ujldpcxUHiSQJfu1nxzV7OVnT47LI4esGI928pgbA1q8DOcrfSmUYA5j43O7ZU1bSCGuOk1LyQf0B8fwwGTSyqYlpiHkU3jM/VIUIxMrEgE3LVA34HFLIp3V/NpKQMnDFYA9Dwhw57IGKl2ynMK4AXMZHz4xHAdU9bqtexLPwDoC3FO0LE6DS58s2s153NtaFwUZnEzpf+Nik4lpObeT6TMNdMYWVDplFyr1OVZESRgZGRkZGRkZGRkZGRldvJoztP3kJz8pn/70p+XjH/+4uLH8GBmd46zceoqMOe+psMbtKm+Hd8I3J2DjGuo29bplMJqZBmar5ZjWu5W/EuLhYrTdi/WOB5mnQDmgF3mj/L4QVcYZbF/VUi5i5QTrlZCRiADEa2zlBwwCucfiGXU0sg0dFzKw0Jkh7JwP8lhxUcYzuWnFzux7VsZJ2GMIzBuN5xUqE2Wxoi0sq5qDGpXxradPaVTGh199ud6LY3Gn0jb0yiu6JL9PNLu4fyqtrmmAJ+1ta/Br+8fjOFILCkb/a0+fRmE0hf0zPmyo5gqmb7Wym2sVSON4zrdgM30PazEx/sR2NgXkliu69Fo4vYkBcLktZypQMEuswVRKWkJ+GS9mdHyu7OnUfvRPJKU76JM1rWE9dz/jWSxKwONSYM6OZ9Y7x+JO5eEE83PX7j516tIGddi5REai6XKmLC7bSNAjsVRBCjxMKOJyJSs4o88WbGBJHMNoPKPQmHvQNgB8S9ivoDmRzWmGLvME7C+U4heA0kQo2OC3En4CYykk53IVdcydBwQ8IiubAgqhAfRcx4a6VhyEBYKJWrg8EpAVzUE5NhLXdtqy2l4CpaXfAf12rm2lgMGVTl/mkfGjfZrxaz9zcTSX8xgT5mImyOt3i4L4WDqv4Di/qDjYyGh2scvDyMjIyMjIyMjIyOjcas7/Cs9kMvKWt7zFAFuj85aVawNAoCFEBCBbWWSsGoydzelb6eAF2H7w1svK7y9WH+YzHq/f0aOwayHg2wkYH9w/qE5i3Me4iynW9frtK8+6frU8YsRrZK+ylZ/ibLgkwwGvjMczCgdfdlnHNPess8/k4xKTsKV7erGzalEMxElAvGgjkQr8msqKDE2lpSUckD19U7J/IKoQ99BgVOHbdevbZDSWVkcmoOu+fUNyy5YOWdEUkL19k/oaxwA6Af64nYG2bIPXrOFcXmKpnLRFAnL1qhaFerXG3Bkr8Z1nTuo1iIHAVewsZmdDXH7mWPJ99/ZNyJ7TItdtaNPYgBVNQYWX5Pz+xg3rdAt//2Rq2r05vyXs0/aS1Ywb1F36DDAP2ZxLxuNZHTtc5YxdtlCQowNxhcK4oYmA4BoKCXFG5ywQCAKOZXLqigUkAkWBkJrTCsSEzWYLWpSMfMvWcFAmk4lyJiwH4YLm2LDfikQACBMnkM1bEFZKkQ7k8OLW5aHBVJJ5pSMiOSloATMuyOEeCLDbVc7gRXa7rYxeyxHrfM/lcsuNl3Xqg4O79vRrn7k3febzDyBlvTSGvAqVycUl97fq7u8ScLXuVh2qqivXdcaVa7WvIPmiqxyX4HQCO6+h41s8G9hS7Iz36BtrCPfzho6Ifg5Ym8PRpEw5HL5GRkutLd1N57sJRkZGRkZGRkZGRpec5gxt3/GOd8i3v/1t+cM//MOlaZGR0SyyAaACMO/sWbn1On0XO8Zhvqq1hX6mAmLVtttXyglgAXM4HyXk05xXoFW169sgGxD5xJFRdbQCegGPjPvO5IRuLwdYsV0d6AnlAtjWGkN7nHHp2sXO7OxU27F627Yu6ZtIaZwEQPDfnjmt53aE/TKSyEhXo3XeN588oQBuVWtYDg1OyZ6+SWlt8MsLvZPSHPap45T5/MnBEYVnZK+eGktqNivuXu4DFPvW0zktMAWsZGxWt4U1axVg6wT3tWIlyF4lFsAqFpVRqPp3Pz6iQJprEg3wjUeOyRUrGuX5U+MKRIG6zBVZqsDu4yMJLTTGuIX93qrzoTET4YC0hIkoKGh/gJAUt8MZjFN468oGjbcASANzcc4yRoBS7gVM1WJgBQt6AguBi0QAHB2O6ftuB8R0wkwcttt6mqV3PKFREswVIBEAy0S1RfyauUwciRadc1vZ0MmsRzyugqRKmcGMEwkP5MTSj3zBI5u7GrVwWiZV0Pvkyc4Vl4R9HnG7rPgKICbXVve8xyVhD8fBe61jeZYInCV+AXBP5q5NlVe1hCWaymp7WfM4fHFnk2msr1VRteJkleKzwBw43bPEJATEpS5q3NwzFSBjDipFP7wut7Q1+GRbT4t0RHzy+JEx6Z+0ILnBtUbnWvytMTIyMjIyMjIyMjJa5tA2n8/L5z73Obnnnntkx44dZxUiu/322xezfUZGNVUvZK3X2bqYMQ7OvFeAGhBpc1ekrliFau7WWu2v51i7LQBXXKQ3bGjX6AfgJGDN3n4/0xgDbIkyILP09EROQRjFvohqILOUomJseSd2gGsCXGuNoTNHmG3zfH/y6F7Z2TuhUBF37dtvWKdRDDYgZdt+JOhTl2xbCdjST+IFjo4kFCICxrqa/AqTT48l1AXM2sChOxJNaY4pmbYAP7JUbVhszwfjyHG4OoGfuHYrozcqxxv3LmvvxGhcvC6X+H0ejQigLVo0LppWlyfXjGdiMhJPSzRpwV2ALqKNgFIgc70PIA4PNerYMeYH+qc0BoDCWgDQa9a2Kmi2HeZ2kb18ka36Ls22xWGqybOFwrRt+gUNkMXlakFGTwkg8nDERVyByy2nx+ISTeellYiDoFdawl45NBRXeHlZZ5O4JCqjsYw6dzmudzyp8Ji2ckxj0KsudgA77V3d2qDQF5A+nsjqfXMZYjCs7GPGnbgBRAG6gl9kAke3x6XXwTGd0W5YNDOTzWk28IGBqNUvj1vjFHAI//LPrNLYDNYAQBU3LhCZdczai1sXqjuP1i7eNu1YGLFb1NHszc0v2Bas3dHo1zX0/ElrXBZSB2qx83WNLj3xoMnIyMjIyMjIyMjIaJlD2927d8s111yjP+/Zs2fae86iZEZGF1pW7mLGONhwjwxVnJ3AzAODMX1vtnvUU2htLsfabcENqhmyMirtkaDsWN1yVjG1SicpWb4I4AuwBfieGEtIsVCULd2Nctu27jnl+zrH2YaKuD6BwrQP+ItT86H9QxqzYANS3LzVir+RYYuA4xs7XeL1uHQccNtetapZj8dpitMVyLk7MaWQ+q0vXlO10NqR4bhMJDJadKpvMnlW9EbleAMir13XqlEdbPHXOISRuMJj3K6P4xzNWbnBwEoAL4XscCSnMjmFpxs7Ilrgiyzc2TKFaaez3bz/2bv2yeFha21RmIuYCMbWnju7yB4RDPFUTs/JlCykgFGcnrBaprCtKSixVFbzW8F8wEcAd0eEInJWljBxA4hCetZlALJeBbUPHx7Wrf2dTVYUQzJTkNFEVjN06Tfu5cNDUQWtuLvXtzXonJ8aT+gcT1PJTgqQZ81cu65NHbMraWM6KwcHYxof4YxOQJhaXSUIzVzRPo7f3Tspr7lyhdz+lheVPxPEQdg5t0BbW/UCTtzJldIaZTiYiwWJFqwohvQciCv/FW1p8EtbOKBjRfbuQqVu6hp5vEZGdclQfyMjIyMjIyMjI6PlD20feuihpWmJkdEct/xXQlbOA1bVExWw1LLhHhAPaAOA5PeZAOx8YhrqOdZuyw2b2rXoFw7PN169ctZCWZXOXV4n0gBnoe10XYicAPSpY6OadapyWc5FYCPOV1yeOF6v7GmeFlWAgKaf/oWrpq2bymJxZOiu72jQiIejw3F1X3Jtp4O2ci1xTsDvOQuGV473ps4GPQ9A+vn7Dio83r6qWeExsJMiZ1bBLNyrLs16Jf+X9ybFJS/f3C6feN3W8tjbbed6tE+LvY0n1NUMdHUWLnvJhjb52Hd2ye7eCc2/BUqH/B4du68/fFTPfe1VK+T9t2zWaw9MpWUylZXTY8kzEMZFQoZbAefGzohs6Y7IPS8MKkxGbpdbMtm8OoavWNmkDuRiMqt9iKYsyMrcTCay6i7Wwmjy/7P3H9CWnmd5N36/u7fT65xpmlEdzUiyLRcZ28K2LNvYJoQ4AWJaTDBrYUISvL4ApoS/WRCvEGLABOzl8BlwwEA+myIsF0lusnqxNEXT+8zpdfe+93/97nc/e96zz96nTNOM9VzJcM7Z+32f+p6R57ev57pFZigAVrvgQAVaTizmFJ6bBFciLu7fPaJzPjBOXESjTwMZfaIgmJcpwDWZzCv8phDbjoG4fnhQyawkSelCVX7vq4flTTcNKjBPFioaKUBxs889dcYtyDaZkiOTSUkWK1r8rFbDjbz688pz0xqXsBrHqjbyaoOBgHQ5jrqO1yPaJNeXIouXA9gaWWBrdSka0A9urKysrKysrKysrKyupmw5YKtrThuJB7gc910JGbhnjqYDj9abk9vJQdwOZq/HbdzMkF3Ma47rasC1k3O31Yl6rAV6rhUJgVrHvrk3Io8cnJIjUymFjmTlalxDIiz37RqWfeeT6gwGerOG9NtJ3rUhZ5V1/8yjJ7Uvfmb+Lpz1KZB8/MScPLh/UiEobt1Hj84uG1snGN5pvbkfKIpjljgG5obL9223DulYyNQFVb755kGFht74CLN+3j0xLmQt9pYvy1hvdFnuLWP7wvPndfzVOtDRLSYGLCYLloxW3KMG3iLmvqknKouZksYUYCzNlYk5CMqtoz163/NnltRdjMiVDQUcKVXcSIOBeEieODGv8wH880wT/QBIzbQ4Tol7aJVeQjRFwC2uVanVdB3I/+WZIcIAudm1bt+MDcBNUTXiKsj6xfH91KkFqVbrOqdWsMn90+mS7q+C40YxNQqi8Zx8ef+kRjHMZd2YCu99q2nnIDEONf09Wi8AZWgUKaPYW6t6In4t3NYu0zZVoAicPblide2I/3ZYWVlZWVlZWVlZWV1dWWhrdc25aDcSD3A57rsSWpbbOuZmj+LKXE+EQ6eYhk5QuhOANWt9aDIl+VJFkvmaRhqYY/Pt1AlWLo80SGukAcfTzRjWioRArWNXY20jUgXAu2dzd/PoPe+RQQqgA/ABCrmm3fwAfnvPLSlM64sHpVim2JWoO/WRQ9OyqScio90RvR9X6GSqoO5X4hgeOz6nMJB8X97fFw+tCmc77U1rwTaKdBGbYO4DNnINEQHrcYBfeJYTOjfGyJiJM2B+QNeDc1kJBxwhVaBUrYnj1BUYEwOAq7dQrsj4YknOLuQUfEdCAc2hNZm9WhDMEb2HY/isp7rCcQkHfApkUSLsAtpvH51tFtQqVtx9Imq2Ul0JJIGuOKRzxeoKwOkCXXesPJuMjxxab/DqaHdItvbH9UMCsnhRuVKVouNIrliR2XRB71+tUJi3+BfXEZMB1D44kVQQrs/ZOvNeAdixcEAGu3zqNt/IUfFOebSdgC1yXb/2PLrVtaNt/dGXewhWVlZWVt/DuuFXH3y5h2BlZWV1TcpCW6urqvW4YTcSD7DafcC6lysu4XLm47aD0idmM/K1A6vD73YQFTcortBOxcoAoBTX6gSZVwPjq0VCgJ9a7+O1HYPx5msAW+AW1z18aEbHMZigEJVP9xPXrlcP7puQv3zitMK4uUxZIW+mWFFgyvH90UY+LkWuQHNAVNr4o68fU2ALVMQRjIsTF6YBa4xto/vXWrBtc19U/uyxU+pyNXm1FFFbrwPctAd8DgYchYwuHHUU4pLLy9oBPas14hdENvWGZagr6ubWVqoyn2HuNSlzW8gnTrmmBcYGE0GNECBmgE2o1qq6/xTscsJ+CfrcYmVjfVHZ3BOVRMQv3zw8K5VaS+Ysx/hrIitfFXfvAz5dV/phHBEFzHUFp7yHe5cl51kuVF14aoDv998yIr94303yqW+dkMePz+k+5avELFQkOXXhg4CNiP11pK7wGverKau0HjQKHAcUMx+yeA3QXm+/7dQJ2FpZXYvi71UrKysrKysrKysrq6srC22trqqbdj1u2IstMNZ6H+7MyxWXsN6c3SspL5TGnYgdNRDoPLeN5Op6YTqAFMDZbq1WA+qrRULwPa5XohBCAb+85SY3JsDbFiCtXZGvTs/B1w/NaAwAbVP0KV+qS6EMlqtrBiqOU0gg7YUb8/7QvTs1UgAQSKwAbkf6pQ3iF/i+3YcEa+2/GZsp2EYRqQPjSQXGR6fTCigDvqjGHQDb13p+THtcS2wE65MqOFrgjLFu6Y3Kf/3B2xVqPnliXl21uzf3qqP0/tcPyzcOz8gLZxc1eqBSB9w6smMwogXQdgwldGxk0io3rNXFH/BplizAlGvecdOgZu2aTOCtA1ldK/6sT3V1/xJtgLsbp3A85NfoBfoArlO4jfUhwsC9wxVAlIzjx471yp1benSvKGh2ORjnVLIoI93Gybq6qGEGcGV4OLTJ18VxyxPWrqiXljxzOkNaK6vrWf/fc+Pyk2/c8XIPw8rKysrKysrKyuoVJQttra6qm3Y9LtqLdam2KyZ1ueISroW8XC+UBiIBwFab20ZyddcbLbEaUF8tEgJXrJuH4GYfALeIaQCg4u69eTghuzZ1yTePzDWfDXMcl7sYO23gWDXQ1H2T4/w+8VG1SlwXJ0XHgn6/Ok6ZE1mvuDnPzGXVmfqWmwcVBn7xu+PaOFBzIVOSfLmq2bHt4iOMqxcQSX+s6fvv3tr22TNZtBRUYz0p4kV0A8CQ184t5vR5Wu35Me2xL4B5nMF7zy+5wLYvru7d//vceYXaJpOXdcdd+8jBaZlKFfT50Hzaar2ZczuYEDk1V9ECb01I2ih8lQiHpCsclDfeOKBtMgZANvmvJ2YyCitNlACrzQ8UWosGfHJuqaBtmfezxZo6mQO+mmzqjsirtvbq8/D8mQV58eyi5u0uZssyzThboluBpIyVomE8K3PZ0mUrokViwvwa7QHuGRLPKI5gYiQAy0RKUCytE5PVRxBdg9C2HWS2stqIJpIvX9yQlZWVlZWVlZWV1StVFtpeQV0L7syrMZbWtoFwnQAg/QK8cEkahyP3X4l1udiYhZcrL7d1HYGHrQWyDOgzhapWm9tGcnW9RcGAkvfePLguMM6YWyMo3rn7QtExI2ArDk8T7cD+84d80G39MY1tuG20SyMRDMTl2Xjo4Izmt37h+XOa5UpmrMmdffttw3o/LlMAIY5USBvtAddwnOLmJaIglSspcJ1OFfWen33zDvmx122VB/ZOKJAE0410h9SZ+mt/v1/evcct8maeS+Pq7Y4E9Ss/e6Gt2TvWmjk49bpMJPPqJu2Lh9TVyzXMn9fM89NaQI3iXBQtM/NjX/adX5KFbFFqNSCiX0Y0biGvucK89/TJBVnMlTSXdy5bFLfmVU1ypZp0RwNaNGwhU9T4iVuGE7L3fEods4BJlgzXKdESI91hjUb46oFJBcQ/ec92eeHskrw0kdSj0cQsEBNA9ASQnP02YJecYKIS2CvWnuzd/nhQuiJBuWW0S2MpmCPrA7AFpIM/2WMcuEUct57njAJkbqyFSH8sKMlc+bKxUG/WbTvx2QJjiQX8cvNolyxkyjKZyq/poGX+16qu4aFZXSfKFUygiJWVlZWVlZWVlZXV1ZKFtldQ14I782qMpbVtoBUgsR1QBPJwXN+bXQpY28hY1gM36ediYxbWm5f7xefPKbwzgO19d41dEnxuXUdcqMDMdnu2DMjmy/oVeNoe9K49Jm9RML52iuxsXXugG3voHSNqfdaWRTvMZ7UPoFwyV5Gxnqhe+9ixOXVC4iJl3jhUeR1YixOW4QEqkYk64Nkx+2vm7t1v9oOxnpzLSLQxJ/o195tIAxyjA4mQ7D+fUnDK+L3r7a6RI6lCWeEnIPN/PnRE4fLrd/TLL39hn8YxAI63DcRka19MXa71Wl3evXtUx/6VA1M6J/ZrIB5qrqVZK+IjAKB8qIGDGLj8b1+3Vdf49FxOC6UBgAG0FDQDAD92bFb79Ykj6WJZ72Uu3ZGQOE5ZQW+ZRW0UHTs+m21GE1SkrlEVN43E1Q1LNjAuYOaXKabljx45KplSVTKFstTqrocW4BkPA2K75Z23D8u+80k5v1jQuAYcrMy5VqwolM0XqzreF88tyYP7J6U3FpRssdyAm65rNxEmriEuJ6bTki5dQIuVel3iPp+uN+vF2HmKDW9dT/EwFPG7cQXkx5rr17qPUQQc0cJj/bGQnJnL6O/8auJ6rlitMJqV1XWtppXcysrKysrKysrKyupqyULbK6ir4c68FsbS2vZaWaSXOpb1ws3LWQysXV4ux+VxXRrAtlH43KrWdcFxCsBst05mbsZxC8w8Mp1ZFfSupjMLOXVJxkIhnZtm5q5j7VtzaDsVHTOA1BvtUKnWZG9+SU7PZ2T7QGJFW1wHLCNqgNiDUCMmIClu7my7/e2Uw4t72OwVRbxa72+NNDAZuEZA+QMTSXVdkrmKI/eJE3NyaDItf/qt43JiNqvkmyP0QNHxxYLs3ty9DPYBRSeXCjLWG1HnsYHfZs64nHOlqgJdA5cB2bhqccKyZhTkigX9zQ9FAJqsG5m54MiFXEmzatFAIqwZrMDhwa6Q7iluXIDqlp6oPjNA05+6Z7s8d2ZBHjs+5xYk84mEfQFZyJX1fi1k1oCs/B/6ZK2+fkjkxuGEzhMHNEXYko02s0WcuXWpVOpybiGnz9RSDieuT+oe32c8ElBHL79LR6fZZ1HQjDv4ri09svd8UrLFqlu4LBxoFjXT7Nja6g5SXMGsGwXQCpW6LOUrulZ8ILGG2VZBL3D80WOzazpz0Touaav1wueLbdvIsmSrS1VfzP17ycrKysrKysrKysrq6slC2yuoy3k8/1oeS2vbHME3MKxdLMOljmUjcPNyqV1eLsftOS7vdW9eilrXBRcnAHa1dTJrYaDZwYmkDHeH5Z4dAwqSO40JR+cfPHy0GUUAaDw2nZG65s06chvVmtqotb9UoSLRkF+qtbpCOjPG1v31rp8BzQC8oURYnbYczQcoAkYPTVCszCd7Nner65NIAEBnOBiQdL4ib7ppYEOuaW8kB9mkwEzjTHbjHC4U/cJpigu1db1xUT98cFr2jy9Jvkzhs7r4HUcWc+wPReG4ypFypSppXKIhv7w0npRsqSKTyZwMd0X0d4F81JHuqEJo+uM29on1C/h8ChSBtMDSLX0xfR+HKsDTAOt/+/ptTYcxIPObh92YDO6Nh/3q8uXe+3YN67w//8w5mUnl1bHsgm9iIoC3Ptm2KaZO2K8fmtbxASurQNo6+xqQzb1RyRXTAnsO+Fw4ifuVjNxMoaIRELhLGX9fPKwxEEQp0E8s5NO4hp5IUAuSMX6gdjToU3hartVlMB6S9945tix+gvZvHErIXKaksRC4WJkbr+MMJjqBawG3PkzEDXdsK5jkeWQ9gL6AV9zAAPfFbEnqWG9xx9ZEeqIBfc5qHoiqbQHh11t37SKzZOuXGdB621PzvBaXc53GVlaXoqGEhbZWVlZWVlZWVlZWV1sW2l5BXc7j+ZdzLAAw3GqAx8uRb7vaPNvFMlzqurSDm4Aujorj9OOIujcn90rk+XZyb16KWtel3XH/1rmQecpaAFDPLeYlFvQpfAWADnVF5C03tc+mBdhyXD/kdxRgRoLu8XlAaqVWl/lsccU99E2hqwPjSdl3bknSBddVifsTRHTHWK9CYMZ1/65hmUwW2u6vKUB2eCot3dGgnF3MyRMn50XqbsE0nNpAP/q5YTCh4wn5/XqE/0dfO6hj/JNvHtd+iQwgL3W1PeV18mf5Y4BxplSRg5OuSxuIy5h/91/dsWK9vaJQWTJPqEBdIwfYeyAs4JSMWJzBLCIZrEQFAA1RrliRoGbAxpvOYuAjUHDbQFy/EqOAs7QmLlSsNX5+zfY++cqBaW0nmXMUWL/j9hEtNkZRtbMLWVnMlaVSrWtBr1goID/9fTc083aJ8KB9hoZ7eFNPVOMpGNvmvrAs5kty/GC66c4N+lzIGAn5FSyzFvzuJvwUFfOpkxcayHzzlZpC2oF4WMfPsziVzCsAJd6A7Fv2xxFHfycBzoOJsGba8rOJuvhPf/OCxk0w7zS/v7GQglmcvzPpku6/GZu/XpNknoJgF6BkE7K2CNA7mSyqIxdwmSuVXfjsd8RfcxSM+0M+2T4Q1/4BuN52XIfxxTtkAdN9zJu4iHpdSH+4GGfteu4xa9HuXuZlZXWpOjmXfbmHYGVlZWVlZWVlZfWKk4W2V1CX83j+paqd0/Fy5duuNs92UQiXsi6AQ9yDAJFKpSZvvqlf4d4BHJClmtwwGG8ePTd9XO48X8YA9MYhypH10a6IgrRLhfLrOe4PhOMoOS5foPEH3rBN3nvHqOaybu2PujDszKILDNU1274v4CrAdnNfTMYXc5Ip1iQWDGjhKqAbLtJWsY7Acfo4NZ/Vaxyfo7EK08kCWFF2DMb1mDtj+sX7bl62ZgY2A35ph+zYQ5MZdWaaLFDAYyISUKAGrCNCAYAM/GNKxBHgPp7LFOTcQl629kU1FqLdWrUTgHouXdDCZdOpgpyczcodW3rWfC507otuBAaKBR0JOI5my4Y4hl8EaJe0+FZC19CNFvD7HHWlnl/My3B3RAEnr+PATUSCsr3fBf1Az1PzOY0F2DPWo45fYOx9u0YUUvN7M5gI6Tj/zaef0HgGIOpSviSlSl3CAaAqWcR1mVgqNNccByvPCo5Zfv/OL+T0mY0HfHLbaLcCZMbIH4A5D0wiFJDt/VGZShV0PyI4bnuiOuZitSb5UkWLl7FpuFg39Thy00iXHJtOS6FSUThcLFTU3ToQ9+vYRroj+qyy1//7O6cUagNVZ9MFhc8mRcLv1CVcrspzpxcUJDMfI/YMAJwtV12XbQOMeqJwm4r4HSkQz9B4j69LuYr4/T5JhP1KZBnfUDSoRdDaOVEv1SHLci4VKupC3sh9F9NXp+ssr7W6XPI+x1ZWVlZWVlZWVlZWV0cW2r4CdTWzdi93LAPw7KGDbuEr2nv44Iw6NvM4Hat4IN0j4t45Xe75MgYtvhXy61H399wxeslwfr1uYO8xcr4+enRO/vQn7l6Wy0pcwV1bevVIugF4rcKdDMAE2ALrdo12NfJCq+oaftttwyvG99UDU3J+kfHF1W1KcSzcpfTDsXPu7bTGXnAOZAf8AuFMHIPDzrmcWfNQcQnzA23hZL5hIKEwkNxX9nk6XVB4T5QBbXba09Z1BaziSAZwkjFL5ilxAcBJ4grMdRQX+9S3TjTjIwCPzBExVq6PhgOyqTeqLk0gfn8ipM5KHGnEADRO4Esi7FOwPZl0+wVWk0ELyH3q1HwTsANnT8xk5BRtBwMam4Dz1zxbv/VPB+Shg9MKPsm+pU3jw8TxCvjNFKsKQflghvWhDYq91aSsa4vLlP3i9+XkXFoiwYD0xkSfgUK5pK0B8xGgl/iLQsmNQWjWqWv0yRoAcI9MZSQRDqoLdy5d0raZJx0Cem8c7tU5Mj/mhZM2FqoqeAakemt8KejMlfUr7TTMytoj0Kima0MuriOFUlXqjqOgl8tYDwA2InqhVbTlq9fVIV6puu5b4hdm0itd5QyfRi8VehqXsJXV9a7RnsjLPQQrKysrKysrKyurV5wstH0F6mpm7V7uiIhWAHtwIquQqaub4k55jQXgCLh3Tpd7vqtB4I1GMZjrFYgu5WVbvztW1BEE1xv0rO7iM2TW9cv7JuXgZFLBIa5QXJPtYjB+6f5b9KuBkj//1hvlmVMLHffpS3sn3EJc2ZIeOd/SG5E9m3sUCvfEAgrSfD7fijU288MJjKNRs3YXc5LMlaUnFlRga4pdAdFw2d61uVedy0BCIDXrAmykXWIFTsymXNdnuSYnZzMKQFv3tOO61uvqSE7lKrLkw6ValadOzimQBSbiHOa6Lzx/Xj8M4NnCQQoQpJCVwmVxpCsR1DaJJSAqATjnVOrqAsW1yjhrkEEtmpbQOaYLVS20RYQHblp2D2ftSFdQ3a/MATgKAKZw2EyqIP/rG8f1ZzJ1jTvaCQUUzgIo3fGIm/vqPhT6e/CZR08oOGb/79jSrUXIKOYF7DUuapzVP3HPds20ffz4nGbOssasHYCZ5yfo9ytEZZ/iITcPl4cOrqv5uBU333ff+SUF6ArgcZ/3RBTo8rwcnkpphAQfEnANbmzyZb98YFIhb6vgnEFdQ5+UNGDXnZtxhpN1y7qXfDWF7gNdIZlYzCt4ZmZk1LJX7QqT4XbGoU17/CaoY7iNgLYGGF/LWisz18rqcsmcCrCysrKysrKysrKyunqy0PYVqKuZtXu5IyJaASwACLhWq1c1LgAYxNF875wu93xXg8AbjWIw1+OQxRFJ5AKA0Ov69MLWt982rBCy1RFr1hl3pYK/ak1SuZLsHV+SG0uJFWMBUH70PbuagBlguxpg/sbhGSmVawrfOLZO4TKyaVl/2trWH21kiC7PsX1w34TGOeAK5ig9sA3HJHB2KB6Wm+9I6FH52VRRRrvdmAkApRkHRaoYo9m7w5MpObeQ03kC6IClOEK9ewp0/PiXD2kmKuCQTE/WlT3BGdwXC8vkEs5RoKlPASgCprKuANdnJ5J6LR8GMNd0saouUXftgnLLSJe6R9k3cdwxzKQL6hLmdYAjjm+O4JdrNcmX6wqphxIR2XtuSeMPgLk8q7pO+3Ex57UwG1mvZ+dzCqYBpp/8xrFl7mictqQ0uHEIosBXXah1kYjjU+AK6AVoksHrAuGE5qrOZAoaf4E3daQnoms9kSxIfzwki/myVEtV3SecuwBaCsYHg36FvQmfT8JBkUjAXbdsiT2oNIp9VbQvwDtUl3gIXLrsN3sHKGasd23t1fbJMMbp3E48/wBa4nOjAaIbfFKoVDWv98ffsE0OT2b0eaUv4jymlvK6zoax0m87sR7EWZiMWK/Dt1X1lnzb9UgLtV1lgmqBrdXVEq58KysrKysrKysrK6urK/u/wl+BupaydjeqVgDbeowdBykQ8UrOtxMENhECgDxcuCaLdL2u3dYiVYHASvALZAMIdgLQ5PnuGEpoe197aVIzYdcTWdDaT6tjGCjoAMkiQcnhyKwAhwsKre/e3tdxfU2cA8fnc6Wa5sgOd4VlS19M4eb33Ti46t602zsiAiiAxjF/ACrFrbywmXEb5yhQF4DJugIu33n7sOw7n5QD592oAMaEyxZHKnPZP57UfcsBmGt1BcTMnTV3wWhd8sWqvO3WIYWIwHUA7Fgv0LqucJj1we2K4xM3LA41xrn3fFKOz6bVPVqu+mW0O6zg24yd/bn35kF56KVpefzEnDp2GeNCpiTfPDyjhdIQc1vMkQlLpEHNzaNVxyvFtipSqLh5u8Q1cC8Q8wNvGNb3P/fkaYXBuLQZI3B7Nl1U93OpTIasu4YKnsN+6Y0HFbyeL+X1tViQ6I0eec+dm/RZJ3uWDwgKZReaKkQWIgiA5XUFq5qF6dS1+NuzpxcU2s5nCgqFQ36RQsPt6mvuuU/jDXDGUg+vVqspeGc//+KJM/La7X1SrFQUDC9myyvApUbztnmWFnFX59MKsRnbalqlBtkKqevYf6Hf68Cga2W1Yd17S/uillZWVlZWVlZWVlZWV04W2lpdV/JCPAMWBxJhBYdrRRF00kYjDTpBYNowGaIAWFyT77x9ZF2uXUAh12/tiyn0ASy1g61rAWivC9jA306xEKvFPLQC3aGusI4PQBcJ+BVSct+J2cwyVzAQ8pGD0+rMBdYdmkyqsxNFg37pjgSaUPli8oXZm+fPLMrjx+fV4QkEfmDvuLo2DbBnLG7hMjJecb66Y75/17A6dwHbr93Rr0AbN2697ugR+/m0WxyL56E3GpBcuaaRDuwNrlaAqBt9QKSDT/eB+f7Bw0f1Q4NXb+vTmAmgKrAagIcTGtCO4xggnC2UFVqGAhV54dySrtW/fu3WFXv65Kl5qZTd+AOAMc8Ec/vYD+1pFqNjzriEgZaaIcv/14xXnLCOzKWL6hglt/XT3z4hb9gxIMNdEd3DbX0xOTqd1rXriQQlX64pYDbAUYGrA9j2aaYtsJqCagM9rhua8bIXP/e55xTcGnDK+pHeAVD2wlG+B3Kfnc+6BeZqIsTPMtaQry54dnnWeGa4DqdtBlc2/VZdEFoVR3Nu/+nFCTeWYZXnpPW9UMMFq8PxFDe7HALWErPAs+FzGPP67jOQWod0WUdkZXX5xd95VlZWVlZWVlZWVlZXVxbaWl232mgUwZVuB1hIziluS5ydANi1ohi8rl0ALz+b8VxMBq+3vbfcNKhFr755ZFamkwV5cN+kAkzAJfB3tZiHVqDL8fmffctObXcqWdDYBZy8HJsHxBpXMEAVGEncQb5cUQAKSEznK+r8fN0NfTKXLW9obq1QHTh79/ZZ+exjp/RIPhCUDNpTc1n5zE+9Vq/ZFw9pniruUHJM6fuFs4sKk8k9rpBt24cDNqSOzVyxIoloQDNmTcGxgL8m2ZIjN/THtEgbgJgIh1s3dWsMBKJQ2FSqqFAbGPzLX9in7QONiUMA1OJIJtZh20BcXbg4PoleYI1w0AJtvXOcTuY1hgJYyv6FxNH15xr2zbip37hzQL74wrgsZt1cWD5nwAl9/65RBbpnFrK6P0upopQqBXUo3zbapY7juUxBC3DRPuCXDFmyaJ2qW2AMDcTDmi/85Ml5jX+o1imuVpMvPH9O5wWgBsSbbFutp9aAmHzkAQLWlay7ebRk9LIfPC+8Pp8pKkR183L9MhgPazEz3MU4bQHmRCPU6g0XcZEc46pm125UpUvMEVjLQcuQalViMiIyuVRYt1PXxhtYXS8iF9vKysrKysrKysrK6urKQlurS9JGXaqXU6s5RTcy7pfGkzKTKWpOJ1CT3NCLmauBoIyJ4/+DXWH5k28eVygIxANQAp+AeN77WwHxpWTwtrb3wIvjChgBhNPpguad4hw1TslO/QCfHjo4Jc+cmtej6cQHfPht7nhxeu4fX9LrOOIeTPibe4DjlFxYskaJAcCpCegExO0cTMgv3nfzsjgLnKoXC9UpbqYOUy1eVZcD4ym91syD94Gd99w4IE+dmJeXxlPiI1tVOJbvk0mfI73RoAzFQxoVgAO1WuUYf1WdqtWaqLu4WK1JtlhW4MgRf+DFWxvj9j6Djx2flZOzWQWQAD4A5Nn5vOze3K3xAzxbZNUCHbXwWdSUEWuZ43hSIyRwkFNojSgIcoqJMuA1YCcZss/MZyVTqGjBNsS+3jzcJQOJkK43IPHFswv6HmB0KVdSd+1/uu9m+ed9k5rvSmYuzlfmTTvEGYx0hdVlzBhPzWelLx7UAnIUDju7kJfpQFH2jafk4YNTGp2AS9eYV2kDEAuM9OMTruOc9clNw11atI7nh/cowjbSHVFATNQD88kWKi78rNUUNuOM9YJS3mOclyod2wYLjZFXSyaum/fbHuDyGrEQOLHz2IjXMY7LraDGUVgYbHX5NZ9ZWTTQysrKysrKysrKyurKykJbq0sCspfLpXoxWs0pupa84+YIP9XmcQAC1JJj5TXvaTdXLwSdSubVdTqfdQtw3TgYl29BthxHi3eZ+42ztnWNL9ca0q6BqAgwaeD2av0wVAqZAaHIR8VZyzi53pub+9ixWXW7mj0AxL5wrqKQmKPuQFKAdV88pG7U3/7ngwowN/fF1JH7a3+/X969Z3RV2N8OzvNsAmyJP2CwwYBfemIBfc9blI0Yga8fmtbsUzeTN9CEixzDZ0y0+3+fOyvZPAW+/AoPc47I1r6o+P2ifYDgDBylP/O99xkEgAKBiQLAEYqrlr2mfdbiqZPzTZcoX3n/vl3DK+Z4fiGna0q6RVckIHdu6dXc2dNzcwpQmcuWvqjujdlHBsjxfNzAZxZyCkFxx86lY/LSZErhLnZRxkjhvh973Vb5xMNHJJkvXQCQANO6aEEyHK48K8zj3GIeZKP3GsyMUxiHMetJnisxuRyexnmrReIckXgoIMkC94i8/oZ+eeb0gn6AAYyl2BhrT1wC0NdbwAvXLt20Ys+LyYttbhlxBA2gjNThu4H2KFoGSDa5tUDfdlyW/OCXK+qA9cc5ni6UpbAOaGxltRFNpvh7wMrKysrKysrKysrqaspCW6uOWg+QbQVquFRxd14O5+1a0PhSHKnecR+aTEm8Vpet/TEt6NRayMwIdyjHynE0tnPkeiHoh//qeXUmAb5oE4cmUA154eOVht6sG27X8/M5jQQgq5V4g088BLArS3c0qKC1dW1xA8fCAYmG3L8iKh7Y6wWVwNg9m3u0GNh2T6Ytx/5xcALmcIfi8gT2nl/Mar+Qr9lUSYEy8+80b54BnKUHxpMKe/tibj+sG+sJJAUm4m69YSCxDNyr+7NBV8ONvFSgJuPCgfva7XGZzZR0HmSvcv1S3i1s5eM4vh7Fr+kakeELTOUr7Xzxu+P6HBinMGvDWHDhpgplSeYc2TmU0Fxh2selSx+RgCPRkN91ZPp9GlXRaU3JpKXIGfvHmhFPQGG0Qqmqzl+cqmZezIn/ByA3zxd78hc/83p59x8+qlERfbGgwkae44++Z5dGSsykilLX2ANyZ10gCZAd7AnJ7rEe2TkUFzkxr7ERt2/qkmdPL0qxUta1CjQydIHnPNqMk5gF5kzkAsAWgsnYHjo07YJjceHncHdYjk+ndb29wFb3vANw9ELW9QJX7zVr1B7rqCDz9FGc7UL+bLu2Xu4iZNGgT53NZBNbWV1unehwAsXKysrKysrKysrK6srJQlurS4ofaHW7ApfaQUgDYAGdq8FCr9YCmpfiSPWOm3YiAZ9mnzKHGwFVbYRL8NxCXvM5V3PkGlEqCaAG4AUO4o7Eeep1BnvXmKJeX/UU9boY4N0KuoGKT59ckLlUUcETOOfbx9wiYeoAHorL0Wn3H+PeteReoOJspqiVpYa6XViKaBMXsYk4IGOWcdLv5548o/f+zx99lb5mxvO3zy5oRunWvrgkc0mZWMxLMODOG/B4YjbbFvZzL9EFANFkrix7xnr0vc88elKfoR953VaNPggH/fLDrx5bBu4Bz2QMA5xPzmW0iBVzioYczX7dPdatEQE814mQXx4+OC1LuWqzQBRZseS1AiOjoZruOevBum3tj8oDeyflmVML+hqZwUBS8oxxxrKurBOZt+ZDhUyhrNCTvQfwse8/8xfP6hqSD9vuAwjmz2sD8ZB8ef+k63z2O64b1RF9poDhtVpVuiJBjWQgpsHAbT6AeNfuUfnKgSl1tzIH+kPEgYQazxdZtRyr5zWiIfoTYQWT5xfzCpFx7QKkNf6g6rJwoDWQeDZdkEQkoMXNgNz0w7XMMxLy6d4Ro0DMg0Lxel1Be7FUVQfreqUw3XxdZ7yByedthawbwZqRkF9/X5jbalqrTTP2K6VsuaZ/rKyuhPh9t7KysrKysrKysrK6urLQ1uqS4gda3a5AWcBMK+g1AHYuXdDj1kAvLyxs56q9lMzajRbsAkKRubmaYxdAxZF5QN5qjlzEsfcDE0l1FwIUQz5Hizq9eluvZsyafpizWWOOijMQYOZ6Xbet6wYgfujgzDLQPdITkTfcOKDr+P89d1ahebgxBwpsbQv6VqwtY6Otrx+aUcD4ttuGm+viLb7FV36mrc89dUadszgt+ZkCW2bfzTF74BkA2NcAhdPposJwACnjjYf9y+bOvACrt452KZwFFNMmmbtcB1Qc7IrIe+8YXbFWrMdDL03qNThdq7WaOkaHYmEFi+zDR955q67hl/ZOaHu4ZBWu1XGvioQdR9+vVmty/64RBevleE0zXp86NS/7zi/qHpN7G/b71F37c/fubI7FG3/xrj0j+hp7DcAF5C9kF2Tv2QV58sS8ZiADVH/yjdubsN7cz14Q5wB4pkgZaA6nba5YldNzWb3WfdZ8y+A2AqoDrgHGg2G/7NrUpfM9MpVS1y5tG+CIUxNIP9oVkftvH9b9x/E7lSpocbM6buEgTvO6urBvGkroWuHunMsWNQOYPGfWeSFXVod1uliVOzb36D4g3LkI57c3vmA9wg3cEw5ItV6XVGH1cl8GjONwxr3rjUfYiBj/agr7Rda4RFW7Bty4VlYXqzfs6H+5h2BlZWVlZWVlZWX1ipOFtlYdtZ74gXaFr45MZ1aAXgNgAZI4VXHt8HMr1PXCxk7Q+HIUP9uoS5c+gZ38MRmtnRy5iGPvAC8cnhzbxx052hNRkNlpjTmWTh5qJ0jdbt4r162ukI11pj0crIzTrCPuRGIFcJxmhGP2lbZAnvV5/91b9U+r6B/oCYg9M59VdzBORHJsyc7lK/EIzNXsO8XA9Jh90K95qrhQ/+Dho/L48Tl1YrqOTtyvQ8vmbp4BgC3QF1j7Z4+dkk3dEV1PwDnza/ds8tpnHzulx/Nxy+bLVSlUKpItkV3rk9s3det1AEyAM+vLuhBhwD4UKm5uLq/lSjV5w85+/cN6n1/Kq1sUWKnQsyZSqNV0Ht7YjH984bz86bdO6DqD7F6zrVfesWtEowkoqlXzcZ/I8dmMpItleeHsonztpSl1xwJbAeJmfwHamaJfyjWKe/nVfbv3HK5paYJXX7asRcz2nluSP/3mcbmp4WZ/w84BmcuWtZ1vHpnTmAQcpMRlzGdd96tGI1SZT1WOzqR0jriINce2zv+lhJsbd8AzpGsT8KmzGCftybm0OskZC0Xv0nn32drUE9br+WrygXl+iEgA2PPs5Evu+NcCmoB08qf5fVoNgHaH/brfiHxen1QvOh5hLRlgux4geyWGwN9862DGVlaXpP/y7tte7iFYWVlZWVlZWVlZveJkoa1VR11M/EAn0GvgGyCRI9qAnXZQ1wssP3TvzrZtvRzFz9xj+gXpiXFMv6KZo6tl6LJ2FNhinLgfOzmVvWsM8Ob6Ts7mdvM+PJmSo1MpKddqCtGAZ4u5snus3+eo0/Gduy8cvU+EAlpUjH0A7N4+2i3vucMtBLZesZePHJxqRicA9wg5zZcrUqpWmxmr5tpOjliybndv7rlQ0CxXUScrR+sZH+thMmP/9tlz6s4eiIVk/3hKHb24ku/c0qPvE5fQCvD5SgYtAJE4AQPtXDhYV1iJvnF4pgmcgY7ct7k/Kocn0+oKBTSbImfeZxLY/JUDk5IqXDj2DtR//syCAmD0qW+dkPHFvDq5AY64XfviGSlXqu49jRu1AFi2rOOs1koaZ2DWyPxenJ3L6p4Ct3Ezz6VLzd8lExVAfAKuWiA1oJQPUIxj+sy8+wECwNTN1/XLTKWoawFwNHPg+1NzefH7Ck0wi0sVdzZG3KrUtfgYTmncxsQekH8b8uOuLamDma+4dt1IgLo+02BfPrABotI/URI0OE2u7gYiD+oNuNxJ6t51HF3vcgkHtKOQ1xSBu1Iy8RNXWzzuIceRvM2ytbqCWu1kiZWVlZWVlZWVlZXVlZGFtlYXrU6O13YA1UBBnJ+ARNyqxgXYyVXrbcvbF6ASQHIlYhM6yT2m7286QckvXcvdu9FCad7rN/VEFLZ98uvHVo2LODCRUphM3CAgCwcl4wTfANNY53br2A6Er9e5zPu4a8n4NC5iQCvgsaLQsS6Tyfwy6NpuDToV3wLk4XRtLVDGz4BHcerNLFxgJJysE8AnpoICZmcX8suckMBZk3eqctx3yGAd7Y7Im24clHgooLC5OxKQYrmmBetYJ5NVy/yJM1jKLTZhHU0ClT/ydy9qfMRsmkJf3n4b32lEwHLIVmhU5KJgGM83URB3b+9rrpHJg8WtGgRCk0PriTZwDPissX5uvvSm3qiuEWvAzzhwiaf46Tdu13s+/e0TWsAKt+5ctqRtAPOZL9+zt8aFq8XHfEBYR/KluuQrZc0G5kOCgxNJBc7EN2g+bpUxEIHgxo6w3gBgYg2ITuDZZE5AXLM+l8o7AcSMs9qA16Y5fi/Ic+Z340oxVV0fj5WXebEPF9vfRmIUcPp2R3yS54MMKysrKysrKysrKysrq+8ZWWh7HepyxANcDq3leN3IONcCnN6+AFBAL5yEnRysL0e+70acymsBb+O6NWtLRux8pigHxpM6f1NoiqJTQFqOy89nSxJwRHpiIUnmSgr5AHX05XWfto6pta+1nMvtXMTEFQR9jvZHVisAshW6rmfPccwGGgXKcN1+ed+k/plMFdS5SVTBQDysTlIKgpGRTIyBcZC2AnxiKoji+PzTZ+XYTFqP48NGK1KTrkhA18aAXSDscFdEM2WJheDDBSIcyJulDyDaA3snNNpgYimvQJw2gLq4dl2Hp0iuVJHjs2k5PJVSWMlrhudRLIyD/bhMF3MlSRYqzVzX5rNRKkumTj6uI6/f0a9F3w5PpTX3d6lQcQulOaLRBuw992eK7vjoB4AMLGSMwEs+ANjcF1PXMc/vlt6orgv7yNpo1nSmoPnG6tptDJb15HcMqMo89f2aaHxEgQ8IxNEPXtzighWNy8g3wLMOsZF3UNcJ1qVed53gpUpF84Xp2+f4FNCvRjejQUdBb65YkdIqdbZYasbKBxjemmG0bKAz4BZdCrxluF4Qb/ooe164VMdtfYPXJgtVm5drZWVlZWVlZWVlZWX1PSYLba9DvRzxAO20VqGwjYxzrSgGb19AJY5XUwRpPQ7Wy6GNumbXUuvaAMuAWAbiAsK8a0tGLMWuOJLvLTQF0Ds1l1NgA9DkiD8qVuoy3B2S8aW89tVubQ04JnoA4EbuLM7S9TiXW9fDFEAjLzYW9MvOQdeB+7UDnaF9uz33wnHcu0vZoqQKFcmXa+oIpcgV7lOcztOpgoJR4OpUsqDvvfP2kRXzo38KmVFkjOzUWr0qwYBfHbEf//Ihha+v3ta3wv1tCq7hGGV+xA4AkieSBcHLPLHkEkAcr814gbrr4qXvVJ64iJpEyBeu1WUoEZL33TmmTln25Sw5xtWcRkmYnFiAIGAyEfbLucWc/PIX9mkUAu5VoGmjC4WGgFIKf0ErAZ84WV3eWtO15XcEgEnBL9qiUBrQFAewdx/5QOCRg9OyYzAu08mCumFZX/YVWEo7rDUfGtB+DnLLfzwc0edUc2rrFHpb/oywJo5mAju6fwRCGC8oP/Me+9GoS9ZR6toNEgsRkpl0aQWYxP3bFfYLiRTsE89d1kN3zXpFgsQXuJm8lyLaaheF8HJDUwtsra6kvB/+WVlZWVlZWVlZWVldHVloex1qLVh6tbSW+/RyjtPbF8edvdmo12q+72pqXZuHXpqW8WRenaOArJ5oQLqjQQXUF2IP3OxQbzwDxaoQR+l3DsZl91i3/PO+SemPhZoQlkgK3LSt8NQU4KJPnJocgx/ujl6Ui5h/0AOdiU0g4/ZCZEJdplIFeUCzXhflo+/ZtWb0grcwG+1mSxQIc12fwEvm/ov33Swf/qvnFdKpC7TgFqfywnSALc5YdajmcNjWJBryaT5tV5hj/UUthEauLs8vMNg7J1NwjUxX2iePFghbr9Ukr/SRNNgLsQT8wD7x7XympO8AUnG4AoQpBgY8Zq/Y16kkubEixbJb4CtQZ69d+FuslGQpW5LzCznN1I2HXEet26srYOdwT0QmFnPihPy61qyVAspATV24g11hnRtQPufzaR4ucRoG5LMXzK/uOBIN+hX+doeD2j4QnP3iWmI6gLle+Ru0FSidNtW4PCIDl0xetwBcaYW7lUzdsd6InJ7Lqfu2E3QkYqHWWBsAOnBY3cYNUM7PyXxV95bVIbph+ThFi7bdsaVXc5iPTaf1uVFAfpGJAreOdCmw5oMUb1bylRYz1NiJVRzHVlZXQp0+/LOysrKysrKysrKyunKy0PY61MUc1X853KeXc5yX2+l6pSMo1rq/dW1wMp6bzyl0wwnIVyBXYDGnR+n7YiEtqNW6lhSH+dgP7VnWJ27c88WKCz6rdXWiPrg/vcLxbApwJSIByRWrGjcADL+YtTUQl3sf3DehOar5UkXKlbpkcapWavL48fll//BfT0TEnz12SgEnrka/r66uU+9z5BNH4wk4g7+5J6r3ex3ERARkixV9DQcsgBf4CITlKzDV+6GCuRcg9+K5JTk86Wa1AigBfcDTUgWXpet6Rd48VsCx68T0ybaBuMykivoaRdgYh3FXn5rNaLEuHNGGG9KGYXGAQOPcrQE9cbc6LrQz2bJRHUtVxvpiGu+QzlWaABE3LBESMymcqYDMqrp3hxJdOh7vBygGThNtwbrwFZD7lf2T6i7uT4QVPJ9b4J4L2b0Uv+sNBiUaD0pxPrciugBInimWFeh6ea+Bz5lCRW7f1C21GmPI6sQybfIPmKtx+cVDAXVec5VGHTRiCvhj3LWtxl3gbG8sqL8/zAfHM1fiKr4Y0ddoT0TX5NFjs7o3V8vlyrhZLyurq62X68NhKysrKysrKysrq1eyLLS9DnW1AebFuk8v5zgvt9P1Suf1rnV/69o8uG9SDk2lm3miHDcH3EYLVQkO+GQ6XZTNvdHmsfV2a2n6BMBxZB+XJmCJ6ACKS7V1PGvwqKO5o8QH4JQFTprM043K5KQCIHEKH55MKwAEOlfrNQWpZv5rRUSQ5/r0yXnNMgU+3zKSkHftvgCV337bsLp6AZcU13rbbcPL1qFYqSq0BRji+mSOOD9ZR8CeC/KKy0C4uRf3MU5h+mUuO4fi6vQlE5c/nQQwj4UD2v62fhcukyFLBjAOW3KHcb0SsUDusNd92ikGFZcoIDXo80l/PKRjZb7sK1B416Zu6Y0E9Rpf3XXgkpsL4AZok8eLa5f1eOHsoj4fQF4Kq73l5kGZWMrJd47OarSFcXBSMC1Tq8gjh2bUsU1bvfGgTKdKTXAJPATy5hp2VYCylyfigMXBzTPdmv/qZsLW9blnjXkGCt5QWI8InyDawfRjoCxxIN4MXSNvRK4WVvM7WiwtHKwqtKUd4P2l6FtHZtSxTbTERoAt4wmTCYx92MrqOtJQV+jlHoKVlZWVlZWVlZXVK04W2l6HutoA82qMc6PO1itdjO1S83rXur91bQCWT56c16+myBGwsmsw3mzDxAKY+bdGHnj7nEzmNRIABy8RCRQMc/upa2Eq7sVpSvGwTKGk8IlOXzi3qEAPeHqxewecZBz37BiQhWxJM3gBdDgri7Fqs0BZ6xrhzgW2mTUF2O6fSKkzFBAKsP3Xr93a7Pd9d43pV/J+FT077lhMu/R/YiajDmK3aF1V1+Mn79nevJdxtxZC4143iqGu7lzX6VmRbf0JuXNzjxyaSEmmUFaXrEGGXANExPm8tT8um3sjul9k7BrI/PyZQ/LsqQUt0sZiN8yzChlh9ThH24FbYKwLNv3SHQvJ923qlidPLigwjYd8cnQ6LQOJkLqBKwrhXcfvaHdEYwUmknlxHCCuo+C2UMYlW5fpZFEOTCS1b1NozQBRNx+3ptezZlqgrCW0lp+00Brr5HPEacmKhUtGHUfcltsX8zIglrHxPIb9FB3zSaoRt0BuLr/Vfp9PusLuHtInXfXEglJMFZeBYuRdQ77Nl+tSqZY0E5f1oM9MgYTdixd7N5e54LZerxhP6RKAbSsYt7K6Wtp/PiU/9vqXexTXpsbHx+VXfuVX5Ctf+Yrkcjm56aab5M///M/lta99bfND2N/6rd+S//2//7csLS3Jm970JvnUpz4lN9/s/vccLSwsyC/+4i/KP//zP4vP55P3v//98kd/9EeSSCSa1+zbt09+4Rd+QZ599lkZGhrS63/5l3/5ZZmzlZWVlZWVlZXV1ZGFtlbXZXG1K12MzcQXUHhKHZeVmoJOA4fXgrIbjYbA2frdM4vyz3vHtUgTYIpM0nKl2raNdvP39gmwxeFIASogVaHsaBEq4g8AcNyrwM0B5NUb+aMhCfh8mtu6kaOw3uzYf8xxtN5RMHV2PivRYEC6+gIyky4qCKUPnI/EDwAjD4wnFRL3xcKaW8t7OFHPzGdl7zlcnT7N9yXGATgLtPVCYopjFat1XSsKoQGbzTrgwt3SF1W3LUfqNfs0V5K/ePK0un95XtoVQtt3fklOzWXVUQvsBhjGggH5F3dt0v2neNmh6ZRUatXmUXXGDShlHd+9e0ShsDeq4cv7JuXAZFIBOePFeRwPOpItA4ZdOHnLaEKK5ZqcnL2w9tEg8NilfWTHzqdLcthJS7pY1vWsi08dssG8o8/i+JIL3HFY/+CrNsnnnjijQJ69joX8utcKjIGwNZFS3gXajIeCYuosptBfvaZ7WKhUZP/5Jc27zRbdHFiNbGiMj7YBobQtUpVqC5AE1rdE4aqArt5CXuw50LlWd4uqhf1kt1I4rabX+coVfda5BZjOuvNcJ8IA3traoLQmMpsuaR5sM3riZdKl9G2BrdXLpVNEmFit0OLiokLYt73tbQptganHjh2Tvr6+5jW/93u/J5/85CflL//yL2XHjh3ym7/5m/Kud71LDh48KJFIRK/58R//cZmcnJSHH35YyuWyfPCDH5Sf+7mfk89//vP6fiqVkne+853yjne8Qz796U/L/v375Wd+5mekt7dXr7OysrKysrKysvrelIW2VmvqSrtavbmawJtTs1n57OOn1LF583Ci6VT0jgHodyWLsZk+v3ZgSi2BgCTjEAX0rQVlNxoNwXr+5g/u1mPcJ+cycsNAQp2jOOtuGkqsaMNAY47eP3VqXmMH/tWrN8s7bx+WiaWCHtP/yoFJhZUBxxHH57obGfsnHjqix/+BpvwByAHAAIJRzT11IxjWK8aixb7yZVnMldSVmghzlD6v86KgFe3j9sStxdF+jvyPL+V1nDhx94z1yB2be+RzT57WYlFkGVCQTRy3KBsxDvXGswg0pYAYebSsF8W1do8NNZ+DD927s7n29948KH/5xGk5PJUWf8B1SB6dTMlnHzul8QvPnFpY9lzzh4Jp/AHYGvfsSE9Er+MZpCDcQDwss7Wi1CsUcHNBoHGAAoTN74eB63vPL8qcFidzYwOIouC6hCMSCfkVev7UPTfI2YW87hswlDWlCFmAbNgq7tCy5tSeWXCP+ZfKNQX8KB6qy2hPVIa7wzJNjq7Pkb95+pxMEg+hrtd603GsmbANXqq1u4ToAfe1er2mcJi9qtRdtytZsfTH70DTjttwBpOTW6mKVCqVFUf+uawrEtTfac21XeUZwljrEz48AObWFH7TXmN6Cm5xA9Mmxdu0IFnVdd3icmZN1/Kv2jxYK6uLF/8ttlqp//7f/7ts3bpVnbVGgFkjXLZ/+Id/KL/xG78hP/RDP6Svfe5zn5ORkRH5x3/8R/mxH/sxOXTokHz1q19VB61x5/7xH/+xvOc975Hf//3fl7GxMfnrv/5rKZVK8tnPflZCoZDs3r1bXnzxRfnEJz5hoa2VlZWVlZWV1fewLLS1WlPtXJ0mk/RygVzaeOTglAI7iibVUsAZR45OZ5rXeMcw2h1WWHqlirGZ+ALmF2iTB9sJyrYCbgDieteF68g+ZZ4AQ+b1A3eM6jha2x3rieg6AGzPLeRla19UHj40o05aIhS4fu+5JckVM5rfidvRHH0H1J5bzLuFwqp1zV4F8gH1bhpOyH27huXeW4aa8Qv0BUAeXyos+97sO18fyJcVziFAGm5NvlLECydoIhxQMIkbFdAMcAXy7h7rUTfzbLqojmZTLGznYJdGPFAsiv4AyYyLNXjs+Jz25XpG67KYLWtBKBy1Z+ayGv9gnK7ooYPTCvkBnNwDpzw5l5Vf/sI+Bae4dQHdgNwfe/1WzYrlOeNDBOIjeB4n9TV/89ljvfpiQcmWfApTGbcWBmtxKRu4Diz0gkUKtPkdQGtEbhnpltPzGfnO0TnN2WUfKtWqgspK7QJgxaHLDOJ+kVS52ixgBjwFJJ9bzGpBOYDmTKqqcBYxD6fhrs2WcNG697EOm/ui0h0NaQQCcMFxWDOfLGaLK6DqgD5HQOqaun9ZA9zb8YhfFnMNkusR/VZr9Lk6sDXSpAXWplTTr96CYgqUGz24u0qcgqNQG1ZMP5cijMKxIPC6tqKgmpWVlcgv3X/Lyz2Ea1IPPPCAumb/zb/5N/Ltb39bNm/eLB/+8IflQx/6kL5/6tQpmZqaUoesUU9Pj7zhDW+QJ598UqEtX3HMGmCLuJ7TBk8//bT88A//sF5z7733KrA1ol+gMW5fr7PXqFgs6h8j3LpWVlZWVlZWVlbXlyy0tVpT7aIALnc8AZAQaAZExGUHBOOYN+3THzBsLlPQ14BPNw7GFFBe6WJsnRy1nfJ6N7ourTCWdUCt82ptF0ct8//802c0GgDAjXv2xGy2Ob6fuGe7fO4pjsdXtZCUKdRFgbCt/VFJ5Soymy5obunYYJe2Z8YKsDX9PXJoWt3GO4YSy773AnycqY8fn9eCZ9NJF9JFQwFtO1t0owkAtYNdEQXT7CHFnI5MpRRSAgxxGHNEn5uBmLhK79s1omDTmzkL2FzKuUfqgXYUFjs6lVYn5lSqqHM28QdoMB4WP/bMhm0z4Hc/EKC/ka6IAmiiEIDLf/rN41r4CvgJcKYd9oU+iC44M58Rp16X197Qp3ENjEFP+Vdxxpb1+fR+gGCeH/bZCy4ZSbFaU1ANQAdQ4sQFHAJd6zVHQTcgk7Xie34Hao14ACA8DlN+5vcFJyxwlP3qjgR1PqY/4C/tA24NDNX3HJH+RFgGExGdH3vHfPaeX1IYu+J3oS+mhBhnNLm8gNJ6jUJpYVnKt8l3bbh7OxVYaxXXtcYrNJtqwGn2A2c4X3EH58uu09m/TrdtZzm670PdEVnggyNbKMzKapk4cWC1UidPntR82o985CPya7/2a+qW/Y//8T8qXP3pn/5pBbYIZ61X/Gze4+vwsPvfZ6NAICD9/f3LrvE6eL1t8l47aPvxj39cPvaxj13mGVtZWVlZWVlZWV1NWWh7nelqRBWsB1x64wzIH/3qgalLGsujR2cVKJFricuv0oBTZKLSH1AQRym5p0CoPWPVq1KMDYhK3yaqwUDVTlor67ZVXhi773xS+xpIhFfsbWu7OENx1HL9ybkpKVfyui5LOfcIPnrH7SOyfzzZHDs/I77Hwbypx9E4BJyvgNR28Qv0B1hFrd+b+THGj75nl87l8GRKvnFkRo/ox4J+rTi+tTem8QL8o//Gobj2848vnNex5so1LVCG0xG3aAr4x7H7SECdoK/Z3qt5v7QNsMUVC8BcyJQ0cmHnUEL2bO6RmXRBEtWAgs/jM2mN12Cv6LM/EZKdg3E5NJFUFyW1ryoaC+GT+WxJUvmSAj9iAQDMoaBfnc5ktXLNLi38NS/zmZLCZaDezSNdCvgq1ZwC1O5IQPx+R3aNdi9bR8bw9MkFBapekTTAzjIeH9EPdVHQmsoDu/2kQejvAzESrI+JsADgMi4UIvMVR6tC27qOAXg7mcxppIFXwF+gp9eQyu8SWc2gzv54WKZSrpsYVzPjG19a7radz5e1D9oa6QrLa2/ol+dOL7h5wS1FynSOmrm70oG7XrXeRb9MnYJl7Bsf8Cx7XxpuWZOpsAHxu1OtVSVdWJ8r+GJlC4lZXc//2+NK/2+N61G1Wk0dsv/tv/03/fnVr361HDhwQHNngbYvpz760Y8qTPY6bYlysLKysrpauuFXH3y5h2BlZWV13ctC2+tMV7oAVzu1iwJgHCbOgPxRij7x2sWOBUjIMX1AHiwGwATows0H+KKQE246gNZQKHDVXD/AZNybQ11AraL+vNocN1qAzAtHHzs+K6fnMrJ7c8+Kve3UrnHNGgcybta1xu7dz3fePtI2M3hzb6TZHy5daJn3ey3QNp9dVqDNjPXoTFYBbDJXkddu71eg2/qP/UePzkm5VlcomS5UGgWy+AdwXbqjAXnX7k1NOO195l1XLs5Kn+wYiut4AK24ck/Opt2iVSIKj//dnz8jP/OmHbK9P6ZZu16WB5Q0Tu5aAwSmi8BRn7pyKcgWDbmO3ENTrlOWaxgffbx4LqkxDvFIUAoVt7hYfySoruDW5wfnqokkMGIOZfNa4+g/MDYeCugPuIYZA5AVUJwpupAZMAlcZqyMHYDdFw/r/bhl948vCSkVBpUyT5O5C/RsdKfvkyF7YDwlR2YyMhAPyvb+uILhV2/rkw+8fqv87Oeel6lkXteWKAQ+TMkVKwq0+QDlwERK2xlKhHRdWqV7AX1eQ+vBuriKgcxsYUHh9co7TFwGRczYa9Z4IwB2vY5gK6tXoi7lv+/fy9q0aZPcfvvty17btWuXfPGLX9TvR0fd/75OT0/rtUb8/KpXvap5zczMzLI2yAlfWFho3s9X7vHK/GyuaVU4HNY/VlZWVlZWVlZW168stL3OtFEn5+VQuygAIB3uWo5sUzSLrNJLGYuBkkAhnIPucfSqum0BXxPJvF6XKVT12D2OzcvtXAZUUgDqO8fm9D0yVM9scL1bAbc3G7adM9oLY5dyZS3M1a6vThm6xjXLGIG5ZNKu9ay0209vHALjuX+XG7/APW+5aVCBHwDVfP/1QzNKAU2BNtaNI+sURGPf7rlxQM4v5mUw4f6DsXUNVHWXInK8nwiH8cW8ximkCyKPHpmRgS63IFrrPDgWv3tzd/NnQPWeTd1ysAG6EQZS+mdsREnQB7ARRyhwDiDK2HjWxnpq+uEDUJZnizU9Nu1GNTBCQHFfLKSgkOeFr4BUiqBBBoGtAHMKohG1gIv40GRaHc6MdS5TVHjqhYJa08vA2sZrgFHmzzNPIbAS2c7pgq4x8Ji1w1FMca+R3mjTIQ2gfvrUgoJpsoTJDnaLtJU0O9fImGGB2uGAoxEAvEtBs6lkUX+3eF5fOLekoJl9jjacq5UqRdbcceXLFd1vacyBMSkUVnfthX744MWNZVhWv6wp8/N6WCnd4ezviwYVWBery53L+hyRoVunKBsgvyqlaxDCWpet1fUqcsGtVupNb3qTHDlyZNlrR48ele3bt+v3RBoAVb/+9a83IS2OV7Jqf/7nf15/fuMb3yhLS0vy/PPPy913362vfeMb31AXL9m35ppf//Vfl3K5LMGg++Hsww8/LLfeemvbaAQrKysrKysrK6vvDVloe51po07OK6V2RbMuZSwG5E0u5RR2URiJXNsdCuZysm0gLmO9UZ03sOpyZdh6XZw4hxeyJYV1gLMDE0m59+ahDRU8awWirTAUed/3wliA7fhSftW+6huAxEQJAK/WM3YDRlnbJ07MaRSBKUpGPEGrUxY4CfA04JR8V/gg0JGMVjkxr/m19NnOHf7224bVnQ2s5cg9qQ4UgXLjYesykSzI7WPdCkOBklzL6wBToCrOYTMvxnlkKi0B8l8bsQL1Wl3BP32eXcjLpp6oQuEapLAm6pLti4f0mrl0UYuKkY9LXu7d2/t13Y7PukXcyLfNlav63kyqpvAwFAhoRizOVJyoiLHiRv2bZ85p4TKcoUQHMGZvUS1gJg5jnrF0odzMZAUMA3n9tboCcKIiWI+ucEBBJcCY6IKxnqjGTRhXtSksR3+MGwexZgoH/VKrVTSGQSFwgxorWPW4UC+4cetSKlfVQQ2UZX8vDLwBkis1zeJtjqtQ0bgJxq/RBbXloJW2cQbjqgY8E9/AdW4ow/rEevGhEPsLXNdEhzbi+SCigizii0hI6CgbaWBlJfrfRquV+qVf+iX5vu/7Po1H+JEf+RF55pln5DOf+Yz+Qfy9+Z//83+W3/md35Gbb75ZIe5v/uZvytjYmPzLf/kvm87cd7/73Vq8jFgFwOx/+A//QYuUcR36wAc+oPm0//7f/3v5lV/5FY1g+KM/+iP5gz/4g5d1/lZWVlZWVlZWVldWFtpeZ+rkuLzex2JgZ65RDAp3H/mUd2zpllgooLCPa7b0xfS4P1BxtUzf9Wb/tma3LuXL+rrT+EfqbLoo771z00XPcS1ntBfymjFTTIyYCOC1iR7oFIuxGiQmNgAoiaPUAN0vPn9OXbIArsFESPNzgZ5jPW4cwlOn5rV/YFu6WJaziznN2m3N2W398ACwRp/37Bgg/VTCAb86denzV76wT/adX3QjAhxHwfybbhqUV2/t1ZiLY9NpOT6b1szYUsVRVyyuVX7+yydOKxjFNYoLm/t+/q03yjOnFpbtCUXsaDvgqyuwY/yZQlleOLsoJ2Yyej8Q0qniWI3KW28b0sJi4E2euflcWUI+R8rVqkJQoOh0uqBFvXDVjnZH5PtvHdZ9mVjK67OiBb5wG4voc4MDFdAaDToS8vtlc19M6gtZhbkLFdcZCnjUgl8NpyoxD/wlzNIAhvNlCny5DljzHPJTfywoNw4l9IMSxvv5p8/quhOjwFPNGEHDPbGAwlQiEqJdYcmVK3J2LteMEzC5tt7kVvYFKMqHBvsnkjoGHLZ8rVNprJFPW8VhzA91d32ZA25cvme/aziDPc+2AvhG9AQuYtos+9z7uLC2BhSFGXMpbfhqdQFhdwK2iA8NapW6VAHIcvl0DRp2rayuuvh7z2qlXve618k//MM/aH7sb//2byuU/cM//EP58R//8eY1v/zLvyzZbFZ+7ud+Th21b37zm+WrX/2qRCIX4nT++q//WkHtfffdJz6fT97//vfLJz/5yeb7PT098tBDD8kv/MIvqBt3cHBQ/ut//a/appWVlZWVlZWV1feuLLS9ztTuaPv30lhm0iV59fb+JuScTZfkQ/du0feAdBw1x+UJJGvnXDXgk+iG84uuQ3e17F8vfAz5fQqgSpW66+zzuX82OkcvMO7kdu0ElenLBa9pLbb07SMzOheEw3OtmIZWSAywpWAZAtj+0dePKYxWd6cjcstIlxyZzsjbbh2UwXhQnj01r25ZAB55qYz/8ePzGkfgXcdWYA+YfOjgjDpiBxMRBbZmLmTCzmbcPhH9s484cX/qnu0adfFnj+GkLSoI9ftwmvplKl1oZCa7EQWhQEUdtgBbA7KZL1/74yHdK9fTWtO1BIJyXzJX1vXWAl+OSCzsl1uGu+ThQzNyZDIp0+miuj85To9rnOeLQlu4Won/GO6KyE++cbu8/263gMsXnjun99BmwF+RVK6s8Ba+matWpVRhrwCeWQXIFC3bP56SLC5an0+dsNsH4wrKp5IFmUzm1ZGb92S1ApRxr8aCPIM+jUTgeX5w36S6eOmfZ3UhW9brYMLxsF+BryOO5tKems1I0OfT3OO5rPthBOA00yhSFgag1txYhtdu75P33DEq/+fJszoOnMe5pUITkoaJOvA72l6QxAt11dYkHg3onMqVqhQ6hNO6Dl/3D+vkxmq4+cWoE4f1upNZx9WArREtrue6jchCWysr0Rxzq/Z63/vep386ib/3ALr86aT+/n75/Oc/v2o/d955p3znO9+5pLFaWVlZWVlZWVldX7LQ1uqaj38AwBlI9+RJFyreOjKggLAVXhpH6pn5jDomiVTg/k6Q0wsf7715UJ45NS/fOjKrzsKBeFjedtvwhpy73jF0crsCMhUqL+W1+ForVDbglWxYoCXg0BQA44j5alEHreu3qSfSjEv4xqFphbDETlBArOYXPYZPXxQGYzwckQf8zWfL6ojEQYl7c61cXNYHGNnqSHbn4tc/HK2nbWAdhcdmU0V55OC03L97RDZ1R9zz9SIy1huT779lUP7mmbN6/B7xDo7ruXRBc3OfP7OoURIUPGO+jJWYAhyn1Zqj8BWoWanVtD+iCAC4rN/kUl6+cXhG550sVhS2KkRsFOwCfg4kQvKzb9nZ1mFNdMOOwbiuyaPHZmUmVdQ+8NJqRm0NyFjVdX73nhHpiYZ0bXUsdTcuAFj9r1/rQuAP/9Xz2o4C10ZUgTpUqyILuapIvtqICyHqIafvMzfmYgqTsZeKq4k4qNTUlcw4KxRIi4e0vVShLAUP0YTdmhxagMzhybR88E03yN88e04jEuiHPXVjB3xSr9YVhDO/BnuV3nhAi6+dncOdTbG2zr/bBc3XdbG6N5qhU8EwE3HAb5lZ2+sVsBrXsJXV9So+nLGysrKysrKysrKyurqy0NbqmlKnyAUDQgGZmpkq8+robIWXF5ymCdl7bklB4/aBhF63mrvViPxWrunUf6ds2vW6XU18AVB5qeF+JNf1awemVkQPnJnParEuU+iNnNabhhIdYxqYH8AOBy1QlgJc6B9fHJdTc1ktzAVcBGhCzoBvXA9YnkkV5ORcVq+PhwJ6pH2oKyKvv6FfXZ1r5eJ2cl0zF97zOxSyanBZIgK0SlVdplIFdehGQn7Z1BtrOnRxBS9QSIvCYTWO11NErK57v7kvKl99aUqB311behUsArYBrVyPszaLc9XnSL5UU2CmR+ydurpOyYR116uma8p41NWpa1Jv5uS2Qul2WcHji7lGNMEFYMhX8AagOBIMKFAmFxcAznrftqlb3neXm1No8n0PjC/pOhs3spFyvgZMDgeA9j6J+Bt7BwCv110IT5isjzk6Oj4gMGvOc0DkA3ENYb8by9BaAAywu5ApyRe/Oy5PnVyQYMDNnqVYGc8ua54qVJcXEms0wHPDBwNuJAUQ+UK0QyfVW/NqKUSn+9z++uolZstyH+7qIk7ml4nqWmBrdb1rrPfCUX4rKysrKysrKysrq6sjC22t1tRGXKZXqh8DQu+5cUCqx+a0qFQqX5ZnToXUvUo2KjLAEyg41B1WB+dod1grXz9/5tAydyZqBY2d4KMXxOJKxCnbaT14jRzYx47PylKurFEDzA1xH8AWhysZqCdnMzoeskQ/8ncvamYp8zHX4tAE2HJs3gDNVohoxsDaceSfcQIegZm8D7CdThEzAOST5jF5CoBRIArwxtH7gskkrYskogH5vhsH5Jfuv0UePTp70Zm+XA+o/NyTp3UsNA7ApAAXxbjIJ26X+UvubrnhEmWfgYc4Osu1mvTHwnJqJiOVel32nl/SGAP2XyMU/I7rDKXolctjJR7ya4EqMlp5nTnfe8ugOndr1Zp899yi+j8Bjq/Z2qfr3DrPVvf0SFdE821ZM4BcKwtkf/lDLvFdW3okEQnoOhBFUChVtL3X7+iX//WN4/L48TmNjFCAuYojE3dy2F+RaCgkfi4sVaSnJ6JHb+M4eINu9ALPOjAXx3CqVtMCb0WfWwCswcybjl6VOpJFqpVaw8kLJHczYsmxNNd1csPuO7fUdMV2YqLMrZ0L172vM7D1qivi1zUARNcb2QmdXLpe0XSF/Ig28Q3qHfSuhZWVVVvxAZmVlZWVlZWVlZWV1dWVhbZWa2ojLtMr1Y+BsbhFcWBSnAoA9tDBaQVxH/uhPSucuu+8faSZtUoG7v7zSfUBjnRHFPxQcKudAKIP7ptQcGickKZQF2CRo+NQLwpKtVsPxkDu6v7zS3r0/LnTC/I7XzqoYO7ARLLhdgQRioJTHK04Tk/OZXT+pj0DYpmLuhmrNfnk14/pWgAADaA1Y2hX9IxriYnADRoPB9V1ifsTtyqYeTxZUEAHDIuFA1IsVxTgAbO+c2xW2/3oe3atCek7AXf+4ColjgA3JZmoZxeyEgz4FbSyF+TdtnPy+sTR9YHQ7RnrkXftGW26lCMhnwx3R3QdtvbF9D5gKqCU9WXOuGYBdplSVdvpj4cV4BIT8M3Ds1pg7n/8yF0roPRaBesY61QqLy+eXZRU0fhAL4j1RBrZ4HPcgnapgsJTxgPszZROyN89e072jyclU6g0HaTAzc6FuRxds24F1BV9plPFisRCPokGAzKbKSt8JJsZEJkuVqTUGJ5xOYcD7jFnwLYbx+Do6xQm43kEaCOiGRhHtVFobDU42ojI7SgDiTs1gGt4tXuRun67InJuPuc6bzcIWYHCXpet09gnE0VhZWW1um4d7Xq5h2BlZWVldQ3ohl998OUegpWVldUrShbaWq0J3gyw2tIXladOzGumKNqI43Y9bt120NHIC2MPTaSkK1yTzX0xPZ6Om7GTUxbIadrEETiTLiqwpTgS8KydGOdfPnG6UQTLUbfrT79xuzow6Z/7ybzd0huVp0656wFQBWyRI8r8ZikU5QPKUkAqr39w/+Ie3dYo3DXaE1YHKS5XACUxCEQXtMuNNbEKBtIC93RPPGO4eTixougZ6/aF589rBizxALhLAbbbB+Kak4ozNUrRLnWM1hWm+msUAvMpEKUIGevhdfi228fVgDsAHFgNvOQoPgCOwlfhoF+dtDhODTQ1mb/0XapWZS7jFhDjz4P7J2U6yZh9um7b+uM6z8GusI4H4LgpEdaMWdZXIwMqxAe4UPqGwZAWFcOde2YhuwyQr/W8bu69AO3pk+iNxZybt+sV67lzKK5j6I4GtODa4amUunxrHnfpqdmsTIYKCrK9zNIAxADuVw9MBDAOJkIK3HmWnzwx5xb4qrpxDiIVCTV+nYhCIBrBtKVJBp7shltGuyWdr8hId1gWcyX9EGQmWVwBivk51HDIrmWEXYXJ6vr3xUIK0t2iZMvvW61tfmd6tChesOmSXq+A3MZ13nqfcRwTFV2tXHz0gpXVK0XmBIiVlZWVlZWVlZWV1dWThbZWTXUCb8blCrAl33Jrf3RV4LWRttcqQmbkBZiAsK8cmFJgCwQCVnaSt03cfsPdYddpW60pDGonQB0wDeBqMmcnlgorcmmBpecW8rK1L6qQlw4oUEV/AFFzhhvHJT5GjrUv5UsaV7BzMC4/9rqtClGBkS8VkvLiuQWFa4mQX6GhF2q3Am3AMWv0xMl5OTFDxILrIL1rc6/GCHhdo5/8t6+WP3j4qMJt1mrXpi755pG5Jrwe6g4qLCY3Fk0k8/o9UJUiZF543mkfW8eHi5l1os8HXpyQ+UypAa1BY44WDfPusUFqXz80rc7oec2zrUsi7Feg9sSJOVnMlRUsd4X9cv/tIzLSHVUY/eX9k9ouzloW8J6d/fLCuUU5PpPV13wNMJ3MVyRXcnOCt/bFZSZdkD/+xjGNocBNjSPYrLl3nkRdjHSFFZRXKjV5262D8p2jM20hH9fj6L11tFvzlwHEAPFWNyfPBA5Z4HQ7aS5uw+GKcZY1y5eqCtNPz2U1MsJ99cLaaa4s+NapSSISUmh8frGwrF1AMDm+P//WnXLfrhFd7//z1BlZyhalUfOto4vWuFNNFELreDuJZ7OLeAhya3EVN1y7uH4p0jaTbv/hCSJbmQJu5WpFFrL4gVeXceZyHc9Kpo0TetncGnOprRLhYGVl5f7d/P673eKJVlZWVlZWVlZWVlZXRxbaXqdq53hEl5I928npatrGzQmwvWfHgLpPvTDvYtteTxGyVpGzigyE5OdODlDTBjmfi9mSOl4BfH2xsBabaifux82J07Zed9TBeGgypRAStxH3A3jS+bI6MMnZ5R+07r3u/ADDtQbwDQUIQ2gp/+Q4CkYBnrRH+5m8G/mw93xymbu1HdCmyBj5pf/rG8cURgN/zy/kFBT+4ttvXrb3HKk38RGIteL6w1NpiY+7cQ13bu6Rn3/rjZqvCsSbXCpopADr5IXnnfbRjI+8X+IjTs1m5B9eKCuUxHXMGB3HjUvYMRCXW0e6tLDNd88sylOnFqQ3FpR9sbA6VWk/HHAzd7f2x9QNCujGpUs7wNdDk2l1nb54btEtKKbVzR3N7v3p7+vTY/8n53J6/p1oiEKlKrf3dksiHNBndy5bVNhNe4yPCIsH9k7IXVt79ZnieTHzJJv49FxGdm/u0ViCL++f0tzXdgKCs4dch4PaLSQXl4OTqWW5qfSrBdoaELNVNE9BsN5oQLoiIf0QYLgrLDeNdMlkMi9+v09hpvdWN+ZAJOb3KSjmWfO1gEh+Bsr/nyfPaPwHa+wWU7sAgDu5ZrmX/GXabnXM6vsd3KoUMSuW87onAOjNPVEtykYUx2K+DSlumRP7TUE59nctmfFfjLRYXYc5WCeu1StdD71koa2VlZWVlZWVlZXV1ZaFttep2jke0aVkz3ZyunpdrrQP9Gp1wl5s2+spAtaqVgjZLj4A0ZZpk/cBZ32xoCRzZc1INUC3FfgaMAvUohATBa+IQ6B9nJ3jSwVZzBUlWajovSdnswqyAKaPHZuVvnhIfmDPqEJVoOZUMq8gltzaRCggr9sxoNXsJ5OuC5L2YkQABKP6MzCuFWq3A9rMDZdoulCVXJGx1BQWruWCbq7zi+PqiO2L+2QqVZRPfeuEft3SF1OH6lhPVHNkWY8vPHdOc2nNepCHihPW7KMpOPZXT52R6XRRi20VysQtOAr7gJSAr0jAJz9xz3b516/dqnvy9KkFXbelxnRHuyLucfaq6wKmzVDA38xUJUbCceoac/HY8Tl1Uxp+WCMqoFLVNSLvdlt/VGMASo1Ihldt7ZUPv+0m3Ws+gMABSrsZ1q5S0b2lQNq3j84q+FvMFuXQZFKfFyIlFOAem1WADHTknlYFNLzV0XGzRsx/rDcq40s5hY8G0OI6Thcqmi+LwRlw7hX3Af5xe+OCThUqWswMwJorVWQ4EdIIhkILPOXDhJuHEjKVLjQB8oInxgGWi7N1IVvWKA+e30oj2qNZl8xpuE5bCqz5HBdAM94XzpIPfUFe4OuNPKAd5gxw9/nq6tI9v0AxQL+UK1UpdDbCajtAZbJ5tTia46wLnl6KWZYPWFgL+tO5+NyPW4I+RzOJVxmuldX3tPiwyMrKysrKysrKysrq6spC2+tErWDR6wQ0jkdgxVpu1tW0ltN1vU7Yi2n7UtXM3W1kvP7102cVwhGBgKOW9cIluHusR9cG8PulvRPLQCQFrR45OKUg9N17RuUTP/oq+cyjJ9U9OtodVqfRkydK6gKlLXJDS5W6TC7lFa4F4+R2VmTP5h49ek6BK/bkNdv75NXb+rQvgDcQzguuvc5enJlD3cvdrasBbY710+bEYk7jDJgf68A6t4PRjKnTM4RzeagrrD/jarxpKNEE3p976ozMpopCaS/GWuuLacavyaClzflMUeEigCsD1K3VpFZxC67FQwEZTETkTTcNyJtvHpTf+qcD6k4m5xRIWMmVdB2n4wX9GeB9y0hC7tzSq1ESX/xuI5fX5+h7uE4pBDedovDYBZSWyVfku2cXZXt/XJI5YGxNoxHIvfU6q3ujQR3nfLakcBIQSfQAgDCrJLEu2VJVErW6riv7zHOAUxugBywGQGssAw5Nx81Q3UmucKmsoPfG4bg8d3pJXbxksm7pj8n4Ql7BMEXfqhoVAdC8gCGBnMzvppG4bO6JaY4t7mDWb3wxr/EaxFpQXE0a/bKHxXKt4d71aUYtwJjvF7PtnayMn3EAlxVSet4zRcta4SeZyHwgcWIm3dGJW2+x6jIG+oBJm2lqcbji2lEHvL/UcOJydbXu7rO/8d6VcL4WyEButM3XkM+F1Zv7Y3J2Pie5dtkQVlZWVlZWVlZWVlZWVlZXQBbaXqfOWiAi4K/VubqWm3U1dQKDrfDvQ/fuXDV2oVNUQWvb6ylOtl41c3cbObPxkF8dkVv6IvKtIzMKXmoehyhFyL55ZEZBZLpYVkgJazq7kFMHIkfbAXKmXYAtjliGt5CtSLZUkU09UYV/QD0DO1l7imQBR737BeAEAjPfVnDNV+PsZQxvu224LdRut17ksAIbObJ/cDKpbdPnvTcPrnhmgJ44aU1OK9EN40sUSctpDAKxALzf+vxoxm+lqhmpCDi4a1N3E+iaPg6M4750IacpfgXI8/l8WnztZ9+8U8f88S8f0kziTLGsx96BY+A45k52MO0nIkGNcMA5zH78i7vG5MahhJycy+o4bxvtkq8fnhW/c6EIHQKpMTeKno31RRVm87vyo6/bqmv8n/7mBTk0lVLwjkkV8GrALt7KuQzF0moKSYGljJv9xCnKOuXLFZ0XIJLnif1n7goh63XNhk0Xq5rh+uypRVnIlXUNAKTEPCD6AXxDinuijmb1klfLAjCOTb0RLSiHM/uliSUFrLiNcSQDuV0nqAt4iRygaFkgHFC3dqZQkel0QZ3GjHm1ul0UR+sUhdDuNfri2ZjJrMygVTcqOcXQWc/NuFMDfsD9ykJgG5VjQPJqVc8ug+qeZ4kCdtGg+1xEQv51QVtvrq6V1feKRrsjL/cQrKysrKysrKysrF5xstD2OlFrligO0ru397V1rl5uN+t6iohdzPUbbXc1Lcvd7YuKn6JXOBNzZZlKFhSoAbVGeiLyg3eOqav0Aoisq8PS5KbGgn51vQJRAa3o4ERSj3Sz7hxRL1fq0hMNqPNwc290Bexsl/3aCYrzOlmBrXmBrZAW6EiRLhe6LimEHUgAi2Py/bcMalYpc4J6AvZax+B10pLTugB8c0TnHR8LaKbtM6cWVjw/6gQO+BVwk6IK8CSDl8iEhw9Ny5n5rLbZHQ3qegMziVegiNjNIwlZzJYlGrzwVw3jILsW4FmuFBUsGiCnRk2FolV1tRI7cceWHnlpoqbg+zfed7uuCW2QJ3y6KyzlWl2BJhAW4IvzFkD6I6/dpvPGMYwz+h9emJCnT84prIxSeE3zc/1y25A7Ro7G65rUHV17xsKaA/kBv8dm0tIV5rh+Vfvh+55YSLb0RbUt1pHIAtpW93ZtuXO1WqpKdzigxbxyxTJn70md1WcoGqxKvky7jkwtcQzZ0VxhLdzWgJROS2QB3Bd3LwW1NvWE1JFM3ETQcYvKlSoVHRtjIsrjcrhQT83lFBK3ijEpsG0jngXuoQjapah5fyN/dz3s9mL47rKcYD5QqNX1wwOeg/Xef7G5ulZW16r4e8rKysrKysrKysrK6urKQtvrRK2ZsBz1bgcAV4OeF+tsXU8RsYu5fqPtrjaH1tzduYyb6bmQLShMAhJmSzUFj8Yh+u2jLojEBdgfC+r1BY7ERwKSKVQVvJh2AaT/8MK4uh99DvEIPgW8c+mi9jnSFZGBREj3hTExRm9hLo600+d615x5/s6XDsrDB6f16P5APKy5qtzLej16ZEb2n09KXzyoQHVTd0R2DMaba0lebmtxMNzGp4oVdYkCRDlSD6iMBPzqcAXYtnt+TF7tNw/PyHgy38gndeQvnjwtk4s5KVbrMpksKkQFmNMWLmSyYoGhxAyQ08u+0A7rSiYtIL3dUXy+J+MVWMb8AI9PHJuT//WN4/LZx09p/zcMxhWivWFHv+YFA1RrFRcU45muVuuaP4szVeFwFVd6Rp8F2gfc+ipuP925svTEggpAowG/pApljU0ATvdHQzIYD8rhKQqJ1SWEI7dQUacsLlzmQ9bjraPdmkHLPnMf7lmv6DMW9Mmtm7oUos6kCxL0uaCTa8m4NW5ak4VrIKge1/fUsDMC4LJ/oF9yYilWRmQHdHcmhWPZ0eeGmAYKt5mCba3j2qjasUs+0MBt3CoANS52Ldx2GQNh1zvuy+F2ZUk1o3gDjVmXrdX3mvi71MrKysrKysrKysrq6spC22tU7fJIL9VF287ZagDjaiB3PUXENno98yMD9aXxpJxfyKmLZz1xDmu5c826kNeaHCvLA3snpFStqcsWaAt0/eTXjylg/Lev2yqPHZtTwHLfrmEFM3/z7Dl1eZIrS/aqyWvdtalLXjgb06P6FJYCPFJgDIDLcfSZREF+9i07m2Mx4yAfF+pjCpkBDzlGvhY4Z54PH5xShyQFmPSYuc+RkZ6oriuuWoBjvR5U8AzY4z0A7ek5AHhWQXJvLCCHptJaHIzjrbVaTZ3ClUpVYWq2KOoYJmcXlzLjg68xT+/4KBzGH9aOPsgOBooCZimuRqQAIPOurb3SF88p6Hxg76TGLwAx6wDuTEEeOTitQBSZLFn6W+GIrHPc3n3vqRPzcmIuq/CssABMd9dzW39MncYffNMN8pdPnFanK+8RF0FmMTAU6EusBcIFzDohcCgQrlqp63pFwwF9JijQValWdb15Jtnb6UzRzektVDR2AxiqxeK4LxiQUNCnUBxgSqYvgJLoAmIRTFoAz2s0FNDfB+YPMAfwUugK+GxcnEQh0A4u3lyxquPsFHHALcBeCr7RS7Hs5tjSN6/0RPyyZ3O3rgOgm3my5zr/Npm1RmsV+2p3X7HRbquYP07oVpBbw0DcGGe7+V2MQ9aM+2LTE4DoLekOTYexldUrXfqBkJWVlZWVlZWVlZXVVZWFtteoLmd0wGrO1vX0s9EiYuu5nn6BaTgcKRhF8a71gOi13LmtEQTAqn/eN6FQzBSLAjqanNn/2ciZpV2g3U/ds11dqowbgGnWZt/5ioJAoBegDAcp4JDq9ggwbMbiBe6I+ASgJiD1/zyV14JcOBNXA+d8j0MRYOsei68pdH3PHaPaD20xTpVTl9Ee972vHZhSpyhAdzpZVMcmgJAxA1h7db1diIdDk6P1wEHtRPLye189ogCXAmDe58HM6fBkSgufkf1LvqfTAI3cTiTBVw9MqluUFyjKxvs4MA9MJiXo98tcoqhjA/CGA67TlTFW63V1OhsB37KlumwOOBLw42z2K8BlHKz1oYmkFsRKbe+XTT0RGe6OasQFLtb+SEDHBLB9801DzTiROzb3qGOavcAd3HxGGhm1hUpV4T6ZxQDj/lhI4Xi6UFEAHg8FdB1xE7MG5ND2xHxy83CXfgBB/7zP9Jl/OOBIEDDdyKoFmJ+cSUuhWneP+nuIJevEkADOkYDjQtN10MfFXEWvJwMY4aYe6grJDQMJjWxYylW0wBtz42fGR1G1+gaO968HWSo37tCWVy7MdsSnQJ5ideu7bz2iKeZHvAnwfKNtdBrLFY7QtbK6LkTWupWVlZWVlZWVlZXV1ZWFtteoNhIdAMj60t4J+cbhGf0Z1+h77xxbl2N2Pf10ymLtpNbrGZ9xrAJGAWR//vhpLQAGSOMoPcWe1hMbsFHX7395960Kq8hAzRUrsqk3uiq0BuT+4n036724Ss3a4CpV52YDenJkn2JX85oLW5ehRLg5Fm+bZxdzCs2AkwBYjrMDY3ePDa0Kzplnfzykma4A1v5ESN5x+0hzXcd6I+ouBWDS9/2N93AYf/ecCyYBgNmiG4FAcTAtZJUDKrrQEsdvte66PSmcBZ7KlSrqvqVPxsP42D+Khz12fE5za3Eik7dKeSk/wao4Sqt1dZACxRkzmIt5+slWrRKPwBF6n+a2ApGBquwL12sMRSigsQOtrkzg+Bt3Dup9J2cpOsb1DdhXqcvByZSk8mXZPhhvxhMAt3nG+DBAoyEWyCCuyQ/sGVV3LoXpiBLwQjoAYipX0X74nvGeWcg1skxr6hhmPcmNZV5A51y9IlNLBUnnS+q+5Xlk3buiRC34m0WsmOuiHi12NN+11c1qoCD31mqOjPXGFLi3OlABnu2O6AO768WKjovIBn6fcAiTq1vwFDjLlGqN+IT2NltvAS0FxziRa/XL6oZl/DV99lxX6+UWH0TEwn4tGNfB/LvxNnEEM+7L05yV1XUpTp5YWVlZWVlZWVlZWV1dWWh7jWojcBLo97mnzugxeYAMVe4BcutxzJrs1fVC0IuRF0o+9NKkOkSzRTfn9OmTCwrc3nbrUBPsrhYbsF7Xr9ftSsG2j75nV3Mc3rkCOWdSrpsyW8IZWm/27d0D8vy8zs3t/TEFgOS8mngFM5ZlIHwuq05TQKAv6JdwwC/n5nPyf5fOKhBLhPwKXlvB+Yfu3amwkGJogD5iAICPJhcXKM8en5jNylKupH3yHhCZ/gqlikKmaMAnoz1xza1NijQyYJc0JqJccwHyQDykKBQYG2U8FTf/dUtfXOYyRfnI370oz59ZUMCKgKTATRyTGvcQCEgizNF/t5AWbeI2JXrA57g5qhw9B0ITxQDgnWk8qxTMop1Coygc8QReEEjBNwDrcCIsE4s5La6lhctoE4cuRaJKVd1PwDgOS9aQ9WKuOGAXMm6G7HNnFuT+XSPy/bcMyRe/O67Pn+lrpDusbmzaIgKBzFvWvTvil0LZUTDK9AHkp8gorpK5C7QEyLr5x/BrQCRwHzduIV2UVKGqjmwtnAUv9S13dLbCW1zFrA/O6taYAqcDJWU9gPBhqUt3OKgZu+cW8g347OYGs060xxxoh9+sVgC8bN0b80U8H7w3xwcUHa7vBJTbicsuF1BtFaZxnq2N5M+uJT5c4Fkg0sHK6pWqT33rhHzsh/a83MOwsrKysrKysrKyekXJQttrVBuJJADYlRrQq/Wo/lqO2Y1GH1yMvBDz2VPzCtY055SCUfW65qPiZFtPHES7ObRzGqOHDs6syO9tnevzZw4p+ARUooMTSYW79GGu5/3FbElhOI5bk78LNL11U/cKyOyFvcBRPRLu97nuz3xZAgGfJLNudMC3j83KW28ZVujohcm09f67t+ofYCxrkylV5Mh0prk2/PnCc+fkm0dmdP8prAbcHIgFZbbmFvKKBn3yqi19Gp9Au4zhhXOLut4KXH2OOhOHuyJaQGyoOyDlSlW298dlsCusDlPmDRCt+X2SzxY1Zzfs98lwd1imUkV1EN84FJcXzi65R+sdR+Ihnzp4AaBAXkAuBcFYu3fvHlXXKlEO5xZzsrkvJi+NLykoNeDTKFcuq5tWwbLjaHwBMQ+IOTCfu7f3Kgw/MZNSOJwIBxtEsS4n57KykCu78QO1ujxyaFpetbVPeuNBzahl3YCauINZD56Xoa6IpPIVBblA6/lsxQWg1Zo8f3ZBYS2Q353rhUJqZty0hwvbzRx24yPqjSxXQChF8VwwXNXfgXqtpjEVPp9P+wE0A2G93DHacL6CmWurAMu95xd1UArPHUf3HyCOWHMFv+W1i2qpI7aRK8zaAC47OWt5neJ9zAmndirvZvG+XLqcwNYAbPbRyuqVLE6rWFlZWVlZWVlZWVldXVlo+zIVFuvkJL2YSALao/K8cdp6j+qvpY1GH1xqLAPgTB2bdQP3AvLuPaMbioNYj9N4S19sRXvt5spx/0TYL0W/T2FaJORv9m2uB5oyfoCjyd8FFv7lk2cU+rH2/EyhrlY4TLEqgA8wEtAHIGXeXO80imNxlH2sJ6r/KL55ONEsOmfE2pDVSazAmfmMwk76YP3/+BvHFLYCzADhLKxxwcajAY1xANh6Ix+AzeYsPBBwIVvUOQBe2RuyC99315h85tGTspQv6xriHtXiWdW6ZoYCJGfSRXUfkhfL/RzN5zV+Bq4SjbBjMK4RA+T6EoFhYDlri8sZqE0WLrEIgF2cvunCBRumxitU6poXy/zI5CWaAHALGKRdxoLjGZcsgHzHYEyjGp4+taDuaWIhmDPgEdcr/TCWQrEqpUbcAnsfDbmwF7A5kAjJraNdMnk0r2vKugBSF3IVBcOsH/sacJZHB3BdbzSgzlyera6IX/eHa2NaJIw8W7dYGr8LsUhAoTfuc5y/jIa9ph0T06DF0xxcxbU1YajGEytadaEvbZG7/JqtfTLWF5VnTy/I0en0unIN3AJqrjvcgOd2Yk92DsXltdv65KXJlDx5Yv57KgS2UyE4K6tXkvhvk5WVlZWVlZWVlZXV1ZWFtlcJ1OKeo/CWtwDVpRYWMwKCAQHbHdW/klpvLAMQkgJQQMmbhrtkIVfUXFigFVms+v7DR+XAeFLb6IutDzqb9f3bZ8/JXLqgbj9gJU5jmGSre7XTP0QHuyLNORAj0Hot417MFXVuPbGAQsnvHJvTe3A385W1N9DWC4cHEyH51LdPqFuReIA37uyXbx2Z0yPwgDn+cL/PweHpOlcfPTq7bA2B3jhEuQ7Iun8iqZEFgEsX9tXV/QqzxR3Lz4Bb1gdYiFuU7xHPIbCU/hFQcCFTlnQhLbPpggJ/oKU3HoJ5j3SFdR3Jvn3Vtl4F9UQxjHSF5J27R/TZvqE/LjsH3X/Y33vLoEYfmKJu3g8pTMYx88QJy+8E8FrzUxvRB0gjEBTQliVP3EPjuD/ubOIYtvbHFNgSIcGe12t1yVXr8sSJeYXG7phdh2qhUpOo+BS88/vx3TNLMpcqSqXu7sMdW3oVPHMM/qbhhLx4bkmePb2ooBrI204N02rze/4Y8F/Ol9Wty3POG7yXbewH8BkYrjEPGhPiQmOAcrVakxJwvBFrgNhXLdjmE3HTgleX932gLTnO79ozqiD+Rz79hO4L8NhbjK1jW3UKwvEhwOoXEccQDwU0qgOXdaboAua1Cpq93EW+AOLAfJ69y+3QtbL6XtLPv/XGl3sIVlZWVlZWVlZWVq84WWh7BbWswNR4UnpiwWUFqC6XgGEAQwMNr5YbeL2xDMA5YCRQkizb1wNKPa5L+uQYPsfngVx7xnpWQOd2YzPri5MyXazKUrYsPr8j/bGgFk2JhwNrxj6sB3hzvB8oBVjDQZkcKzeIU4PyOJ1diDgqmRcQEYfoq7f1aZGqRw5PuzmojmgGKW5birIBDlvXkPE8uG9SwTQkjIiF47MZmU0X3e4bbk+gU7pQlqDfL4mw607FGcvaslaI7wF5hTLH8V1gBpDj6D/glPX/9LdOKCw1jl/G887bR3SdHj40o9mmNw4lZGtfTeMNHjo4LdlCRZ/z3Zt7ZXwxJ48enVMHNdm8XljLOL56YErOL+UlVypr38BY1sbxM2ZycV3HKiCNvcV9C0xlbQDmjBPX6JtvHpKvvTSp9+NWLSnSdiMTcIfSRzPGoAEHX72lV93gQOY33Dig7ZPxS17w9oGEFqLjiP+fP77YKKjmrq+6XRvtALpb9xvzskJ4XduqZtk2r7nwmOi3zMvdA5zLbvEy2gz4ec9dD92Xxq2AU76Hu2+UK9arNTk2nZHf/tJL8hdPnJKzZN2aiayhsJ95OVKr1nSs7QArhdYA9bPZouYe8/uBo5i/63BYA/lZjyz5D+36CPD8+STXoX0z1CvBU0P+xjJoDjNr1Tl6wsrqla5nTi1ctg+araysrKysrKysrKzWJwttr6C8R/7PL+T0aP2VLPh1WSHzOtzA641laI0+ALxxHa/TJ05WAOvusR59H6DbCovbjc20e8+NA+r6xFEKJOqOhRSWmrGvBqM7AW/vPVPJgmzpiygIBAj2xkJy55YedQUDqpm3ydFtFXBwx1BC535iNqMw88bhhOa6Eg1waDIlmWJJCpW6/qN420BcAalXjBHHrhYYK5PBCsB09Fg6UBLwBPwkIoFCV4VCRZ2ZgD6yYLmfSIXFRgGxzX1Rdds2IWSVI/vAQdcdOZsp6lq37r9baEzU2TqXLjbdrbOZksI9nL+PHp1xM2LLVanul2VtmD0k4oHfBSIIpF6SdL6i+/Wabf1yEhidKWlkheb/+hyNXdBcVZ8j79q9SXOFk3n3dwnYCxQH9lYb4+uLhXSswFdgn64LcQa1unz98Iw8c3pBRroj2id7CqAm5mEoEVLQ+EdfP6btGbGOFFBj74GqBebdQhEV5OqLDYezh4vWW74CNoHpiBzfekvxL7OfjVheqTvAUbc4mgnQNXAR960Lgpf3YZTXaVCkjbzmtMJiHL3FSn1NGNoVId4hqK5g/s5qvdaF/XV9rvmAwDhVk1U6Zb/cPFzu7aR4OKjOeuD1VDK/wv3LhxoM1MxvLa0X8Op1WqCN4nAuhbfA1sqqs8h2t7KysrKysrKysrK6urLQ9grKm+XKsWyyUL0O0yvlgL1YbTRXdr2xDN51AOAA47wAdrTbdeA+dnxWXZRAOObsnWO7sZl2zy/m1eF466YuefNNrpOZHNGLhdGt90ymCkp4tvZHdPxkvzJPYB/j2NQTaebFtu7P5t6IPHJwSo5MpRRgdUeCEgz4XJBFkapqTQJ+n0QdN9OVomzt1hB3qxaxatwLNN21qVedojhugZIUEEtmHQWm6tZU921dXaT8wHhPNGAtWbGValWCAb/4fHWpMx4cpXp831mWnesF3LQBV6O4FeCVaIO+WFCLyxFBYGDmTKqgcP7w5AXAzvdAQ/Zwb35J5rLEPYiuB5CZgmP8fuCgpfDb/vElwezK/LRgWiy07HcJeJ4IBWQ6VdC2JpfyOgbWQuMEKP5WrasbHESJW7dYLSmEBMTjeo4EyGQNybb+mOw7vyT7xpOSwYbscboCDrujYelP4ATHvVyTiaVcMxrByI1huPBzfa282IBPc2wBvvSh8LVxE/ugfTciDtiveMhNq+V3DkBMoTfa4LkCqWqxtTX6BAzX1pkDwO8pIhMXt3mrGtG+LqBv0yRAnd9LgLiHgS+7n+flTTcNyMRSXiaS+ZXXNIAt164Hqq7XkatrYRq0tNbKak0RfWJlZWVlZWVlZWVldXVloe0VlLcgVWuu50Z0MdDxYgRw3Hc+uSo8bQeR/+ePvmrVebWuAy5PCkWl82X57tlFLcw13BVW52Z/LNQ8zt+a6+oFv17wTbuMFVdrOyfzemB065xw/5p7NGuVrNOhhIz1RhSaUaSL6zj+v9r+KMSEIjb6GIiFmuNQV2m6qNCOKzb1hjVSoO1aNqAe0Bb4iENxW39U814BcfwpVauSaRTjIrcU2Eeu60AirO5K1gQwhjsXJ2u+5LZ542BCzi7mtdAVzslCua7ATqMPWvbBu5aAV9ysjJ8x0S8gEVCKK5hj+YC7x47P6d4aaH3DYFzdyezT5p6oOoafO7Ok2a6M81Vbe2UiWdC2yJR9aWJJ533nll6di4HmjO3wVFrikYD4/T7Zvalb9p5P6toSMIBrmT75QIC1IDqCZ41JA3UBt2S9Ao2Zz/GZtM5xy0BUDk9mmywvHPQpsDUfCOQ1S9gtULZsixrFydopCFSve9yj6s41qa8r81RN30DPkN8vkYAjPr9fgTJAnqgRsnH5wIL1Rr7lj8sKgOmWJ+v8fquAmuzRa2/oUVA9mSwuuwd3NpEPvjYt4bLlnrIHYrfKnb37oYJm/LZU/ALYklHt+qWtrKxeTvEBkZWVlZWVlZWVlZXV1ZWFtldQpiCVAYIG9G0U3m7UAXuxYlwUDDs9l2lA0JXw9GIgsrcwF6II1beOzCgYBZ4BsTiWvrnXzSltnSPrBwDiukqlJm+9ZVB/Nuv5k2/cLo8cnFYAWq7U5J23L3f8tgO+rWqdE+5fU8gMIErWKXNg7J1iGtrtD/Bxx2Bc3wOGkxlrxrGYLTaPffMlV6xodi2Zr7iWyV41z8lgPKxAkPnhzGV85ATj1AWwAjtZHz2yXquL41DIypGbR7rk9Tv6dcwAvoE4ruaKFEpulIBP3MJt2/ujMtYTlal0QfKlqo6ZflqfNbOWwDTcr8DUsd6YLGRLCt+KlWqjgJijgPTkXEavTYTdLFrmz57fvb1X58PzBkjm+D+wFkBK8TLTD0XrWP9K1d0j8m1vGemSJ07MyXOnFyVbqsjtm7rViXxiJqXXaryAOHJuIaeQ96M/cJuO8/e+eljbhnGyVrlyRR2kZp+JXwAe4mI24rpNPVHpjoSaH2aw9kDvxdxynNjCHJfLQ0mbbloRSYR8GsXQ6VaNC3Cq0hUhHqEq1UYBu1S+JNlGsa9m/54xe/vxiqeJl1lngPha7lyAtoGn7ClQ39unGwixUqzFquvRELEKOKo1pqCFJLvxBZ3zoq2srK6eDjT+e2dlZWVlZWVlZWVldfVkoe1V0KU6ZdcDHS+HAIRArt2be1YFxO0g5UYiHHgPMInjFicmRbo4Yg18bDdH2n3o4Iz2yXu4KwGWZj0Bf+Zn3udYvLfvdo7nteZExu5otyhYvnk40SzKtVpMg3fsZj2IBCD7FvhEdudtI10K/gBrRAoApIBhwMalfFUePz6n7sqzC1mdh3lO+hMhuXkkoa9p8aoa++VTxypwFZhLETbiENziYhypdzSf1jv/rnBAlvIljR/gmDztAUx/4p7t8o7bR+QPHj6qYwCAE0PQ+qyxDqz3kyfmFMrh+AXuv+6GPrlrS4989aVpyTsVGeuNSqZQUSduqVKXhSyO4JqCXtzBT5yYl+5oUAtWAe6CvroWYwOi8oEBIB797bPnJBEJqEt2IVPWuRGD4PP53EiIak2+nZ5Tx2YsFND5AzaBjUQIAKD/4YVxdbXyTBigqWteqcl0qqgfAjx2bE4jCADnxrlK4TlcrRzdJ4aC3GHiLoje4PnQvFbsph61O8ZPXyHIp7j75nW7ArZdwO1CStO3V2G/o88MsBtgW67VpVru7JRlXzq95/e7Bc20sJgj8uqtvZqD/OzppbbXs3881/RtgHg7maJ64SBF8PzuBwPlmrpxVxPxF/OZsmY0szZeceta91tZWV0dEUNjZWVlZWVlZWVlZXV1ZaHtVdClOmXXAx0vl9YDiNtds1EwzfFu4GSuVJNsqarQhpzS7f0xhbcAXVytzLV1/QCp3N/p59b1bXX6rmfeQCdAMO3y9dGjs9rGWjEN5mezHgA56BhHv//FXZsUgn3+6bPqbvVCMFO4CpCGmxHnqncerMu3j9YlWyxp8bfbRuIyly3L2cWcFl8b7Y5IvlyR6STu3bq+BgQMOM6y+ZO7e8fmXo0cmEoWJezzaTzB/vGkfOPwjMLirmhQC32xH63P2tcPTcsLZxdlIVeWHIXRtDhXXR46OC0/eOeY/Jd33SKff+ac5sgGAo6U81xz4f5Qw+qJmxWX8A+/eouc6cnJ2fmsTC7mdf6Mg+iC+28fkZ2DcS3WBrQ1a6Rwr1ZTKE3CgCmRRWxFd9R1wAbqdRnsCms/z5ya133Il4HUjsSCPr2W545sWj4EAA7iEgYwcwyYol8GoFZLRDsUxO8TGekOKxhWx64HMjbqZUk05NP1WAZzAcnkF3uArbZbF0kWKm7RMQy1HWILeM7wxNIfwHYt1deApJxydt3Pfi3y9uzpxY7Xlyt1GV/Iid/v5ul2apvXWQ6iK4ixwElPob312GQ1X9bSWSura1p8eGZlZWVlZWVlZWVldXVl/1f4VdClOmXXAx0vVq0OWeMoXQ0Qt4OURBWsF0zTH/mzOwbicmo+p07bd+wakf/nXbcqHAV2ckz9yHSm7frhfAWkdvr5YpzIrXMCBDOG1vl0yilu3R9A49Fpjuu7zt8bBgb0mg//1fPqftWCZFBAwa0aUEgMxNQCZVKXTMFtw4BrnKIUgsHdyXpRdO0N0ZAWCyN7dmt/TCHw67YPyN7zSzJPka8a7t2yfOKhI3LTcELbYS0fOTStrlUiFYDlZxZycn6xoAXJZlJFLQaGA5ZCYq1u6a8fmtHxAz+BnOVGMTPyVR8/Pi93bO6Rn33zDl0fAO9MsqBQ0rDGdKkumVJR4eRMuihfeP6shIMBParP8X/QIHm4uG9x8CKgMiC/FRq2ZqDmKzWpZGsKrM3aAl/1qH7FdSADYqu1qgLfG4cSum5e6I+Lt2TCZxsQten6rIkcnKCYGrnCy8dixgYMHu6OyEKmJEUT6bEGbDVv+VpsugZSg/Yp+MbzkS25kQarIU76XLXWWF1kc19E4fKX9k3qc9NxbCKak7wepMo8iFY5Op1Wl/NGZGuBWVld2/pXr7ky/xvEysrKysrKysrKyqqzLLS9CrqaTtmrEd3QDlJuBEwDiIFQu28bkRvms1rg6xfvu7n5Xiv8pdiXd/3IaP3Ut040ows++KYb5M8fP70iymAjape7e3Q6o2OgkNVcpqgu1fVmErMW44uuOxOHpDcPsF53JFUoKzQb6grJrk09cmgiqUf1OY4P5DMxB+wNevTonALggXhI733qxIL86U/c3XT1mrVh7m7EwbxU6zUFaIB5A8BNNMVcuqDZtxQs4+h9TyQgC+mSpAtVhafJfFD2jJXbT67uKBhNBitSrlQV2PbFQtIVDcg3D8/IzuGExi9QrAsG3a4gFmKeS7mKhIOu4xhwbfhhrliW2Qw5vY5s6Y+5EQUeN6ZxpbaDffffPqrPyBe/O64RDYu50rKj9xrrEPQrsGVtgMrEPRABwLOLC5X1KCiUdqGvV1xXX614V6kir7+hX+E54Bbg3mm8BsDylT4Zr3fNFHjX6lo8zry4FrRdFdg2IgdOzefXXZCMmIj8Op2wqaI7QzPfKyk3u3j1TF4rK6vLo1jQ/s9FKysrKysrKysrq6st+7/Cr4KupFPWq43kyl7uImftwHSn8awGeNu91w6oeqMLALbtogwuZV288wHY4vrEtbpesA34pAuyV30OMNBFS2+/bVj2jS/JbLqkPwPpxhfzEgn51f1JnIG/QQkxK7I3Zk8M7AXgATFps7XY3WcfO6XxBcQoFKB3tbq2a9rh+nfvGVXHKW5c2gF+nVvMN7NQ6TcRDkhvLLRiXoz/PG7USlWjC3DjEhVQq9Xk+HRKTs5k5KXJlLZNzMNqx+kRkBowyfi9sJHlSuZK4jg+SRdS2laQY/0+HL4UWjNA88I9TsO1zPpQxA392XdOqUvX9KjRshpFUFcYOhgPyXeOzch8pqT983Yk4MjdN/Qq7GVvuJ/YBJyw0aAbnUC/jKEdICWe4dxSToEtzlvTbzuzbd3zNZWvKNTVuITGPvBHX/Pcy/vxkBvxwDq1A9frgbHe/lcTLuEg+cEbMM92ilIAsgYD7h5eqjoVQbOysrr84u95KysrKysrKysrK6urKwttv4d0Ma7Zy1XkrBWsAuE+/uVD8tjxOT3evi8Wbo5nNcBLlu1od1hhoDnS3wk0b+mNylOn5uXgRFKGu8Nyz44BBYqt4PlS3cQ4bFujErwgeKwnogCPyAcDhSnuBVDz18l8ddtD77trTP7qqTPqbgWMLmTdWIedQwnXOeg4Eo8GNXrg9HxGtg8kdI029UTkwPiSLJDX6jhSqde1fzNGM0cctDiOcYiqsxNX5VxW5rMlLfDFuBkf7//lE6e1UBdFtgywVNhXryuoJI7BwOYv7Z3QrFnNjY0EpFL1ya2j3fLzb71RXc9fPcAxe0BaTWbTBW2PGAcXyLr5sxzDb+e6BVa2vu6Owy3QRRQD9+NMpnia3kdGbIvzlD8U/DowkZSP/N2L0hcLKuT2Oj41NAH4GvLrGMmzpQCcAap8IaeXYmuvvaFffvwN27Uv9gzADewGwgeDPh2TQtVaXaMZjPiOZ0Sha2N8w11BjZEgY5d5tMJWxkVBOV1B5tZYK6/jlj+lhgsXiBwLB6Ur7Ndoi1ZwezkTYpkHLmpg9KXKxiBYWV2fulIFUK2srKysrKysrKysOstC2yuoi3F4XoouxjV7qdENzNEAPXTfrmF1OTLvx4/PKRBcagzDjKed8xj3rAGrQL67t/e1Bav0N58pyoHxpOw9uyjzubLCs+R0WWHXcFdE5+Fd+8OT5JA6a67LRpzBXhBMRixka8dQogmFd491a9asybTdM9bdnPtYb1SjEMQB0AEza5oli9uWuIKx3ogezafQ18nZtDx9MiS/eN9NusYn5zJyw0BCi7h552H2PhhwYWKt5rjO2Xpdc3C39EXVLcy4mde+80k5PgvcJeP1ggtVYSjFvep1BZfsbSjgk889dUZmU0UtdsblFJzC0fvb/3xQ7yUDFxdsOl/ROACuAVYDIoM1AGRds1YpgqXH/4HEjrhgNV9pFmUD6vE1FPQpyMStSvwCEB9XMgXcaId5Vio1db8mwkGF4OaoPK7ZF88tasE2YhpoM0C2rGs81u+jwYAC7kyR+ayEyYxnc29Un2X27B23j8h//JsX5LnT81InvkJqEvL7Zc+WXo2gyGdc57QRQNidrwubuyJh+Q9vv0n+7Dsn5cx8VorV5R5R1ngwEZJsqSJ+n09S+ZIWDTNSQN0A60SL4ODOlyqSY/xy5WSAOHt0uXQ5XLaXWy1xwlZWVi26lmKdrKysrKysrKysrF4pstD2CupiHJ4XKwMzXxpPyvmFnPTFQ+tyxlxqdANzNEAPCHl+MaeQEogIaAPPAG6TOWfFeHBykr+KMzRXqsimnuiaYNUtYpZX1+jhqZTCv5GuqBbHynIs/vtGmzmvZu0ZE4QQmLmam7jTfrWCbXJjf+3v98uZeQBqXNfeaczz1GxWPvv4KRnpjkhXJCjbGgXCbtvU3YTCQDyOiFNwC5jcFQ6I49TlNdv75N27R2ViqSDPnl6QQ+mUXvvwoWmFtMQaML5wA2y3i5UoV2oNJyeeV1dEGZBfyzqQZ0t2LM5Yin8BMTF4Ksz0u85R1omoCeAnGbW3burWNrqjASlVqwpLGSOAkXUfSIR1PDhj/X6fOmxvGe3SqAIKe51fyGoBLeBozXEkGnRc56iPI/6Aa5dGkl8LZI74fTLSFZF0qSyFbE1ShYrEgn7pjwdlMV9RdzBzZLzxcFCLqbEmDF7hLU5k1qBY0SiD1oJhQOPplAtsbxnp0oJoXGfEeuwciqsrlgJ7rC0OY6ISGCgtEldAAbUfvGuTHBiPyxeePyeFBow0oBNwW1dnrkgs7Nffic19MX2+W0VGcCQYkO0DcTk2nRYHot2CkoM+R9eWQmepfFmyjb0K1us6pyshHUEjoqGd3HJv1z/wDPgpUvdyj8LK6trVlfzA2crKysrKysrKysqqvSy0vYK6XHmx65ELMwvqeEzmKrJnc8+6nTGX4gjmHgP0EE7IM412XogGZSFbkmypqsf/WwuEAWy/cmBKCx0B5rgWxyFQsVPhL7eIWUB2j/VooSvuA1xRJIUiZAZAe9dej9XX6lrwzOsmbp030Qzt9qsVbH/x+XONqIKy5vwB3ACFFJ4CKNZSjSJMODhrdXnvHctBMi5RoDPXcAweNyqQcawnKu+/e6v28YH//ZQ6TIF844s5Bdsffc8ufY9xEZeAQ9eskVnbE7NZfZ1j/8wb9odzFjdofyys8RF/9+w5LaalRdKqriOWrFbWD02nizofIDzQjvZxrQLmaZM/xEUwfgXQPkd2berW2Aauv/eWQXUMTyQLCmKJGwjly5oR60YGOOpK5l7mxWvAP+Br3O9XV3AeyFt1napuxmtdBhNhfT7I32XsFBPriQa0L96bThZkXnNwXQBcqNY0+zXXgNOIsdYbkJHnCBgcC/HMXciP5StrPpMqyFS6oNEePKOVuluozFwTDfk0m/g33ne7wut955c065ZIBiAvfXIta0uRsS/vn5Cz87kmIDZxFH3xoLx6a6+CWu7NA9kbzuNmDq+IbO6NSHc0qN8vZKpSrbpwfr1ab85tq1a7R9lyI5aC6IjrVRbYWlmtLpOhbmVlZWVlZWVlZWV19WSh7RXU5cqLXY9cmOmX3WND2h8Qa73/wGrCRL8jjxycUjcmrs71wFsv0APyDSXCTTfqF54/L8lCWTNtcUV6C4TxD8AnT8xLoVSR7u6IFrKKBPwKVt3CX4Vlhb8M9CTqAPAI8OtPhBXqAY6GusPyttuGO6x9VY+6tyIljv7jEgY6M4c7xnp0n8x+AUaJbTg0mdK2uI4c17MLOR0b5I7rNvdFJOD4dMxuLIDrRDVOY7OOXpAMaJ5KFmSwy50D8QiAVvrjegAqEBl4CGDlGuP6/NC9O1d1cRNd8LsPHtJcWo7oF8WNaLhjS7fu05nFnI6zLxpsxEv4ZNemLumPh2W0O6LRAgB0QHd/PKR7CYTEdQtcBpbPZIr6PhCUwl8ffNMmD5ielEMTSY17UMhZq6urFSgJZI2H3GJh5PlWqsQM+BTsAmorAQp5lWXHYFwhb5zICD8REqJF5gCgPsen80oXa9IVqUuuUpGTcwWFz6y334/LtS53bO7RvStW3OgCzYptOHTDfp9MJ/Mymyo0C4opOObeqmh2MH0UyjxnJblluEvyxape6zSiHfjZFMp77x2bFIsSZ0F+sGbxNoqP8awSJZFRt/GF5w8Ymwj75Qf2bJLZTElm03k5MJ5S57Ex2hqwO9gV0vXlw5gHXpxo69ZdTc28Ys/P6FIwq68Jr/2uW/o6hrZWVlary5uhbmVlZWX1vaUbfvXBl3sIVlZWVlYdZKHtFdRaebGXM/N2o4C4XeYrAA3HIG5ZgCBa6x9pjNkAvXoj0xbI9/tfO6KZqMAzXI9EIeACBUrSJ1EOuXJVilWO7efVQXn/7gEFkhSROr+YVbgJbGT9vGDZOFj/3RtvULgFIG1dX+/at4PAzIuMWCAmLmG+zncX5b13bmruF45V+jw6nZLxxYJC8ZNzOQXMHOtnLMAvslbBYJliWcockQeUVopaTAxwaf6xa/boxGxGwS/QTkFipaagjxzbP3vslK7nL91/i44TJyrAFtDIfbg5WVdeJ47hnhsHdP28a0thtLfdNiTfPDKr4JGsWZy9xB2MJwtaSIzvi1VRN+9QV0TeeOOgtgOkvXt7v+YRA52nUgWF7f/6tVv1D6KfB/ZOymKuqK7uN900sMxJzBhxoEYCuGQddX9TdC1bLDefb1y1zJM14Bm5UHTLBbzxENEDY/KV/ZOSURtkXUE34Lc74tdrTF4vANhTB0wBIrnBn/y3r5af+n+f1vd9Utc90xgGn6NxHNxDLAW8Ue9rcVzCIPnQgRxfIiyioYCESxWFzDhcx/qizefMfP2fD6UUUnvjAohIwIXqBbbsC7Bzx2BC1zxdrOhathZr4/kiEgE39pkFF+DvO78oqcLGrKHeNskVNkXSzNwvRpoV7BPdgyuFa23WrJXVtaEreVLIysrKysrKysrKyqq9LLS9glorL/ZyZt5utKDYssxXnKvVmoJNYBagFJi2nn+kMUcv0DNQ7+GDUwotgUJLVTdnFHD74P609kkhscF4SAbiIc2oBTTi9gTYHphIKmDbm19S5+47bx9Z4VLFkevts924zFoSIQCwbRtTocXA6grmTsxl9KWffON2BZVf/O64zgG4qMfxsWGKSK4qEqHgl98n1VpFAShH9AFruHEBTcyXnFUcvqY/sydfOzCltGxTrxt94MYRiHSFgwqPAeDM7WM/tKc5foAt43/s2KycnstJTyygMQFyYl4GuyLNtVW39KFp2dQdkft3jWh2K38QztvNfVF5/Q198tBL0wokh2MRBaBPnpjTI/lk4iIyeG8cSrSN9Wj3rLHegOS5TEHzVnG0ZkuNI/6OoyD/xbOLbuasz5Fyuqbrw9qbLFjEvhcrFXn61Ly8784xzW/NzWd1bRgZ1wNAAaoMlYgKdaZ6xsfab+6JSm8spLENR6fdgmv0Eg04UibvFmDbcN+uKR0jrt6A1CWsENV1yQbkZ/7iWdk5GJdbRxPy5IkFSRZKK/JRtSBcS5P0TWTIj71+qxyaTGsWNQ7m1usotOb+7pQVhn+3WpelbHkdg24zjcZXL+C+VBEHcSX9tRbYWlldG7qSJ4WsrKysrKysrKysrNrLQtvvkczbjRYUa8183X9+SYEtAIxsUPQDey6uWjRtA1Y155IMVIpLBd0CVaZPimIBn4hOwAUKYHvk0Kw6bEvlmgz3RBSAbu1zoSCQGWj16NEZddaemcvKWG9E3nvn2LoiHIwLGaBIkS8yYwFvfbGgAjHAGlAOkI2TlaP4OFkBozg6OXpPNi9AGxCIM3I2XZBy1fUC8p6vkQFLWw6gr1RVIG3W0ewR6+P4XGczrmb3PZ97JL7RRqfxA15xrt6zY0BE5iUc4Gj+qAJTwDTFxWYbYz80lVKY6wJkv4T9jlSrfp0b4HTHQFzu2Tkgjx2fkxMzOSnXqgpy46GgOijR2fmsglwT28Ac2j1rOLf3nluSw5PpZUW9mAvzAgA/f2ZBIThryN7mSm5EgNdNaeaeK1bkoYPTui44jVknnlPAOY5nYhl4rnBDlysi5YZbF3WF/c2oDNYEOKwF8So1yZUvAN71wsZAwC87BxP6u5GeKku2SCG0msykSs0PIIL7RUJBvxbDay0KxvxbHa06b0fkxXNL+jwzNz4caAdFk4WK7gfrRpxI+RpKIbBQ1crqlaE7t/S83EOwsrKysrKysrKyesXJQttXSObtan3jQiSegBxcjmxTgAkYuN5CZu3a5sg3MBTgiSu1KxLUY9QmM7YvFpYo7szptAJeIho298cU6OKwBeptH0jIu/a4oJCxPHNqQZ49Ne/mn5Yr8udPnFaQtZ4IBwQUB9iSc0osABAPANsbCy+LGgCADnWF9WecrEBP1gVweOtIl/z8W2/UsfytFvSqSr5claMU/mq4KwFsHKUHDlJU7emTC5pPe9OwW4yNaAjmQf/k+AaIEZBGNm8irBETncYP4MYRjTt6MBFRYMv8gao4Ss/MZxT8smYAY0AgexsFDIf8CsFxKdMOEQ1PnZqX03NZddvi0p1Ll0S6RPZs6tFj/gwK1+zvP3REHb/EDtw22qVjJz4BcP7i2SX51tFZzcEFsBqxDjiQiRPAIQwwh1HD2H0+n9Qhko5Ifzwoc5nl7lEgM8W/2Bct6OVmGcimnqgLzBsZyglfUGHqUrbUGFNA/vP9t8j77hpTkDy5lNc98DpqN8o8ge8vnlvQtaQPQDFOWqZ615YeBcOar+u4cRmt4jo+VlgGWx1HHdATS3kdP78bra5fYDaxGBDfqrhrkfe4ktuJNTcQnOW9FqFq4/MAVe0KFU+zsrK6vPr1f9gvf/2hN77cw7CysrKysrKysrJ6RclC2yuotTJrNxppsJG211Jr38+cCqmzMV+i2JKjjkbav5icXe4BbH362ycUmO0e61EIFw8HZLTbzWml0BbACscnQJfsVH6mEBYuSoDhaHdYISdiDEBBjsUDAQFcwM/V3Mmta0Re7pMncaf6ZHOfG00AkPyx121Vhy3AFqjM2HCj8nNfPKQRBwOJsLbBeIhOoE2uO7uQl/HFpBbzCgRcRyVzRUA+gNzDh6Zla19Ujkxn1MV7TouLuaCOPN3bRnsUdgKQW5+D1jmY6AYgMK5bvgJszToRvUD7CiqVAtbVfVuulHTNKHzGOqCPf/mQumzJ0jUOYSYAuK1vcgtoAc2eOjEnKQJwReTUXFYOTqR03zb3RhT8Mg4DCFnPppPU58hAV0hB8cm5rM6xWKfgWPVCoS5xZKHNcf9qIwZBn4eAT+E8wFT3vlZTVzgu14F4UPvCtewr4YAVefzYvPREQ7r+Czl33uuKQegg5oWr1nxvwCxtvnAu2fyZdWgXPaCZtI7IUuECmGXs5h6ehVZpdAPr0Cic5qvhJHbWNVgHKE4bPhfcXksyIJr9bzfvVllga2V1bYgYFysrKysrKysrKyurqysLba+gvrR3Qj731Bl1jYYCfoVI3hzWjUYaXM48XG/fgEEgH8e8gaeAxE290XUXI2vX9vvv3qqgzYwRGEofwFBcrHydTRdF6i6IigYBumEtMAbRAVB988iMTCULWhzMgMxAw/nJn3ptec5eK+AEHD90cGbZGgFaAZ3nFnLqLuUYPvvyztuHmwXNDJhtV8TMRCfQJvPhmDxkSSEccFBEIx9wGQPrcEdSoGwq5c4zmS9p3ADu10LZkflMWQ5PpWTPWM+yfNjWfTZZtQ/um5TRnoiML+a1QBqAmD54nXX63X91h479s4+d0sxd+knlK0rLgHiMn+eS5xCnLFAZ0MyyA0mdal1iITdOgHiFmVRRnc1GQPO5bEkLaXFUH5fx8iJgotB9U29E1+TmoS7dK5zEFDwrV/PqWE6Eg3Lnlm45OJHWImzIIEn6B/QDsXH1fuvonM5/37lFOTGT0exd1h3wR/wD9wOmaYC5PHlyTo7NZrR4GPcBTEvrpH+svALslteXFRZrec/8jCO7HWYEUrNGzes0qoHsXtd5vJpY72oDbpbXQWApiVfZWI2yqyq32Nu1h2LZObco3ss9Eiura1Pu329WVlZWVlZWVlZWVldTFtpeQX3j8Iwe4waCegtMXak83It133IPYGz7YFyPnnN0/paRrovO2TXjIPIgX6pIMleTW0e71L3rHTMuSoU4laoMd4flJ+7Zrmumx88rNQWmuGsp0MRrb79tWM4u5mQuXdR2uYfr6I95toJswGLrGv3S/bfoGJ88Ma9HyYHTDx+akft3DSs0Ze3k6Gxz7VqLmJnoBH6mOBhtdkeDMhKKKMSlONX33zosL5xd1BgGnJT5ks5SYyiAkGQGZwplqZDJWq7pfCZTBXlg7+QKSG72mfmemcvIkamUgkm/42a6qnu1WpNUoaI/m/sPnF/SeATiGzSmwO+TnkhQi6aZ55CxAWWJsFgBLhVE+9UV6a+uhFn8bNy3XrlrGpE7t/TqfIm3+CqF15y6ZAoVBbbAZM2HzVcUcEPMiE7gNZ/jkx9+9Rb5nR++o/ks4dD+8v4pWcq7kBgHsY7L50i6wGsNmNkYY6YIJM3LlDhSppBcG9YJftD4hZaJMaNOaAKot5pjl3F583lNP2Z4pl3YB25hHMSA/cUcqHW5LDu8uooHRWDj1ZVbYWVlZTNtraysrKysrKysrF4WWWh7peU08EubAlPrVTsY2y4P92Ldt14ATIGwZK6s7QIhAaeAy41CYMYxly7o8flo0KcAE3VFA43YAJH7bx9RJ6iJaMDh+ldPnVEQB6RtnO6X2UxRvn5oRj7xo6/S64GAZLpu648pcOU1U+ALZ2W+WJH9E0kFj+T0csQcgEgfjP/u7X0KX4uVgOwcjGtbgEygTevata6ziU7gZ4p0AUVLlbpMp4ua3fummwY18/ZPv3m84SwuSL1e0uxav08k7HeP+qt7teHMBWSSK7uYKcqX97v7YaIYiIB4aTyp7lZgZLPQGV5kjQVouDCrNVnMlpqQ/fA08QkV8flcaFipAXbL2p95DoHNw11hBcbqXAVk4iAu1+SxYzPSGw8pwMdhhSuZ9fS6RVtZKK+R+fvBN+2QyaTrWjZRGTxXRCQw8p5wQOdyZiGnblpcyUQpBB2fZvoyri88d04BPiLjF7DP7wH7iHCf1uuV5vy94iVAeSTkU4drq/8VmN8XDyp8PzSZWXF/vXGNt2mNK1jjF3i10/60B6TFEaztazE2oissJbwW1BKpbGVl1SL+e21lZWVlZWVlZWVldXVloe0VFLAJWAWUa1dgar1qB2Pb5eF+5tGTK5ylXnVy4nrBJAXCOKoP7GyNBmiFwO3aQ0BVCmJpjEG1JlO4Sit1PZ5PLinFoX7mzTtWQGCyWYGLuEfznGeviyTCfqlV6/LSRFJ+5i+eVWjKfAFg3nlyTP650wvy/JkFF+zV61o8LFUgA7WuBbvoz6wlkQLnFvMiMq8FvbyuXBy0zIF5jfVEOkYnUKAKlyrwMVusihMO6HjIiiX6AaALRGYdcNYWKz45MpPW+RFNUK3WFF5y6h0XKs5XnM64Yk0UA+vfEwvKRDLvgscGGGzEzyooVeDp8+n9Ji4CyBkP+3V8BhQyplgooEXi2DvW8sbhhF5PP+RNsHbAyTwRDsWKvH3XiGQKVZlK5aVarWtkAiDUC2xZO8YMtGZfJpKFZc8XIPsfXhjXcbAWwGVSMbpjATcPt17TuZSqVc2g3XtuUdcYVzAfdvA7RN6xycs1Ath2DAxwRIvpcQFzMeAWdy3uVuIaFojn6CADbIlWwClPQTXANa7ejXz4Uve0Ry6tOYZPDEjrfFYT93WH/Qr7cVRfq0XGrKysvjfFh6NWVlZWVlZWVlZWVldXFtpeQb33zjF1VV5MobG1ohDa5eG2c9961cmJ2w4At4sGaIXAtPfA3gmFcA/kywoZ79jc47p1NRagqsW2gEwAW6Ae8MpkmLab5w2DCdnSF5MXzy2qA3MxV1aQ6GsAX3J3+2JB6YmFljlo/+Dho+rmpX1eiwQciYYCmlkL8DJzMmt5z40DIicoSuZXoIsb9CsHpuWx47NyfiGnWbHAUNapU3TCb/3TAS1sBrDVXFgRdRaPLxbktk1dGlnAGiDcroE6oLsm0aBfnwvjltWoQAp3NUA4QBl4eXAiqREQ9+wYUPAMuGZ+/NLSH/dRVI1sXxyyb9jRr/Ng3yiMxvc6tsb6AlsBhjiFTZE5RMYvMRTMhb3DWcs/0MkezRWr8umfvFuvw/36u18+uOw4P2OOhd0KbPUGSAV6m+cLyP3v/vwZOTqdaTpVy8Q7iMhgPKyQnjkAMHksAN3HptPqRMVxi/jQQ6Ena+Q05tEotNWRXLJOPkfKPiIX3Je0IFnjmfH7+HoB5nrn4/25N+aXzX1xdU2zN62YFWDdFQlIXyykBeDaOXsvjMl9lWsqa6Bf79SYh/YTDUq35vjyAUBVs2sbZnQrKyurKyb+PuKDSysrKysrKysrKyurqysLba+gLrbQWKuDFbengbFAuE6RBe3g61rwd7Vx0v6+80kFmYAijsqb/FjTHsAWsAtofPz4vLo5tw3EZaw3KqfmgMdVBa+5EnmmOATdHNZ2Rc4MdKZ93K+4UIGewCuchQBgohV4vSdKIbILDtq/ffacwr/uaFRjCwqVupTSRX0NJyzrSV+beyPyyMEpzYYN+X3ygTds09dx6v7TixNa6Iq5VAFj5XmdxyMHp6XuOG4xsINT6sIlX/fMfFazZg1QJGKAvFqA5+HJusJG5qpu26rrrMQBu2eM4lwiJ2bSrqu1VBU/DtBgQK8BzvI+TtlzC64beCARkdfdEJCj02nJspaVmrp179rSqy7cnYMJec32vmbhtblswXUCt+wp/c1nCrpe5pn5F6/yN53Ov/vgIQXubnGyunz37IJ8+K+ed+e7kFMHNvEVpviYySQmLzcUcGQuU7iQQ7tvUv7sOyflyFSmLVjk2v54WHIlcokBqI6uF/tbqpZlOuk6YXujfrl5pFsOT6VdWFlzHbaOB9gaUIoZjH3FTQv0JZLC5wOU+/TDAp6jrgjz9WlfrBFA3YyP54UPCBgPa7CQrUq2lFanfK68MsO3JxKQRDQoM+lCc028cNnUJuOt6jrdsQqkHRE/TvNIQLojAZlOFxS280HF5YS0HQGzlZWVVUPD3aEVHwJbWVlZWVlZWVlZWV15WWh7DepLeyfkc0+dURgWCvjlA6/fqnASyOpGFuTbRhasBYnXcuJ6YTFwEyciYI04g7GeqPZr4CfXkrd6aj6rcAunYU/MfZzU6UrswmBCXaq4KYGEZ+dz6kp8+21D8uL55DJwyPVe6FwmRiGZV6gE/CxW6no8HSC3uS8iOwYTctNQojnfHQNxdeHW8mUlXj6nrkf1gYfAORN3MJ3MX8gmdRxjftTj+BzBRxSn4prZTElBMdds6Y/JuQU3l5WMXQqikUNrikxxPfPm+D3Fss5r9IJ7pLRuik/psfa6zKSLzcJh7IMCvqpILBHQQma4XoGN5O3yPW7gd+8e0XX81LdcFzNuWED6vvGkFnRD5P4CiIHy325k9LYKeH5iNis3jyS08NnTJ+cVqqN7bxmUt9w8KA8fnNY5ANnz5ZI8cmhanj29oPmzbiGw5W2yvsxlLlNWoEqsAUEA5xeA5+3jBJgzsDbkL+tcWT+FsWWyahsZsg2omCvXZVN3RDN5eXaNTGEvXKjEaLBXxDSw1jxPiZBfr0nl85LRDwt8UhEXDlfrNY3uMMCW63BnD3WHJZmr6PMTCDga6cC+MW8DZZetZ7mqBdm8UQd8R9G9cq2uc/SC27XEpcGAo+vBk8PvIJnDrIkpNLdRGLuGIdl1Iq9zfFZWVq88jSYiF31SyMrKysrKysrKysrq4mWh7TUoCjDNpoqapcnX7xydkz/5CfeI+lqRBaupkxMXlynxAk+emJdCpSq7x3rUUQptAhz7HJ+M9EQlHHSjHhDwVvNWcRmmipqdSh4uub2tkRAAtB97/XZ1cuKwBdjiIN3aF13muPVC57995ow8emzWzYolM9XBeRqQnmhANvfGVkDnO7Z0y3eOzUiuAUGJUAj4/eqapSgWQAqIS1EvMmLvu2lE14/3ANAP7puUuUxJYarhb7AsjumP9kTUvQuwxTGL23Eh47oeAX18pX3A4UAirHAZJywAFeg+ly4qmMSoyXX0A3Aly5XXeA/Yy7q9ZluffOvIjO7xc2cWZWt/TD74uq06nof3z+gxfdaaa/lK0TjNaPU5Gs0A3WM8qeLKAleM1e8DaAM6HTkxm5Z95yoapWCyY+/c0qvremSaAl3uQgBveUaA9v2xkCxkSsuyXcnIZY64m42IfjCF01oFROyNhXSNcGa7+bzulW6RNWnuOfMM+hx5+vSCvkd2b1Gq7t743BEOJELy6i19uj+MEVDOGvOHsQFUYyGf3DAYUyc1cwHEthpnAb6pfFnHRbsAWzOmxVz7SA8+TGikWzTnylSAtYyrLhUpAbrX+N28sG5uQ+QHK0rHnrsBAbAZb93zc3fELbp2co6c6eXX89zxLFTqNamtNBJbWVlZNU/AWFlZWVlZWVlZWVldXVloexXUqQDYqnIMOVx+HHott+xq6uTEBdh+5cCUFEoVdZn2xfLqbnX7i8ve/JKcns/I9gG3CBhiLhzff8+eTfLUKTcb9l/ctak5N+aMY/g//c0LerR7tCsib71tSJ23f//CuAJbcmVxpLYDz/vPJ/Urx92JH9g5HJfP/cwb5LFjc/LNwzMK9XAhmrgG8vaGuiIKJYllSOYr0hf3KTQdTATUKctcyKvFSeldP/aGAlsaxeBZbMdxpFZzj8njbMUFC+wDIsInKeoFoKXPMJm9Qb9CQ6pscax9uCssm3qictSXVkiLW5MxEy9AlIKBa24UgUhXw2WLo5bvAcjpfFmOzWQUNgKBx/qi6ozFwUq/jIV+bxxyC4oRGTHudRN7tGu0W13COHWPz6QlXaiqq3NTT0RhMNCT/djeH1MQbOCltksUQJT5u+5hxujm6jp6L/DSK35i3wCrrQL+40rWaImaSCsr9K6J41wA1DhjAcx1cWEwjl+gJG0cncmoi5gPETb3RWXf+SVtIx4KSKjXTapl3XG/kgF8IS/WvZ/2+ICA8dJmjGe4UpPehnucZ6ZdDm27TFkYOP2k8iXpT4RlJsUk1+eSZVxA5ouNLGDsyHTHV/ZbC7616w/3t2b9XmSHVlZW3/PiAyRvNJKVlZWVlZWVlZWV1dWRhbZXQZ0KgHUSblVcj4BTsjT52Wi13NpWOEwRKI79rwWLD0+lFCaSq1qr1LTvzb1RtTsC5QCDHOsf7Q5rm154fH4pr/mzxDd458Q4iHjAoYorkyiBiVRBfuqe7Xrsn/cpWEXcAYCy9R+Ep+ZzmqG7abRbHaH5Uk2eObWg78EHWUvyWxFQj3kCHd1j92TeBtVB+KabBrU42sOHZhTU9sVDsmdzj2azmvX75CNH1bGK89XrmMSxCgTDoQvc4h4yTwGrcb+jYI7rcUQDdaeSBb0HuDgQCMlPf98NCj7JhQVQAiobflKFaSYGAIgZ9PtlpMeNOXCEbN6AQl7AMg5a1pkbNvfF5ORMVo/lA3Hpl7VjbrTPPhA70ZpVOhQPyKbeqKSLbnE0gCRifBOLBZ0LdwDvTsxltW3AuDmRT3ZrqQFmWW9AJ+MGonZFgsuKkxkREcCazWWL6hwFetfrVQkHA5IuVtsCW6OwXyQeCSmevXUkoZmxZ+ZwyC6/TnNnMyXdP4Are3V8xo0r4GkiYqM3HlQQ/eK5pF7vbcI4T8166dyA9D6fAtut/VF1A6d81XWDV2OOzZbrkl90Xd4b0Tq7aasSILvltU79awRFI7vYysrKajWZaCQrKysrKysrKysrq6snC22vgjoVAOuk9945tiJiwGi13NpWOPz8mUUtXrQWLMYli1sSMAswAtRSoIsMUFytHGWnuBhtAUdpYz1Fz4hWwA3KEWxyT/mZ9ihohUO1WKkpBH3x3OKKfxDePJyQ4zhMZ9OSKdakJ+YWLwOiAmZPzWVkYjEvhyeTsnMoIbkyOaSuI5YYBY6EB/yOArd33D6i7tDWyAajAxMpHY/XNUnUAVEIYY+LlfUh15V810OTqUbRKkfecvOQRksACgGTODajQb+8/+6t8sXnz7l5t0QoNCAtoLpea0QHcHw9HJDh7oi88/YRhYoAWtaK9gHlmUJZi54Bg9Hrd/Sp25axsYbDibDm+5q5se/fPbOg7lcXRDpyy2i37i3REEBgnKusVbUB7XhGGLuOv1SRSMB1SwN1GSTxGIB8oCguXObKOo90heUNOwfks4+dkIKH27K6jAfIXByvqevUURdrQFNl6W9pld+BeCQor9rWq32cms1IOg/U92nsgLaPw9aTw8reKAD3+zTOIYqFtpGHnMpXdL3UweqBtibWIBLySSIUUDcqfQDewziQeyMyFA9LXzSkGcspp+JmHMv61QmYMrx2GbkXK+bh86zJegqM6fuNZ9JiWysrq9W0kSgmKysrKysrKysrK6vLIwttr6CM8/XwpOtIBQbhhgRmuTmqE1o8Cr39tmF5311jChPXKii2XjjMsXqyLNeCxXvGuhVC4sIMaVGngB79ZwwTyYIEAm6bOGNNQS/j3EXM8TOPnlzm5uV7ogmYMxDN76vrz8AhjtZHQ34X6AZcAGjGZtYMlybg9uBkSqIcp6/U5LnT85IIB/V+t9iVaPYrR/4pcAaIBGRmS1WZy5b0iDvr/sjB6WZBMBzFxDYwLzPeYqWq9+MsXdIiVKKxBrg7caV+7aVJBa04ZwHqD+wd13F2R4NSq1d1nWNhd24mUoD5keH7xe+OK7BmTd2iZsBbJeOas6qOV8eRn3qj27YRcHs8mNes2GMzuJUpsuXI0emMJPNhdRLjYjXuWuZh9uGm4bhm0wLq6fv+3SMKds8uupm0zLPRrQJ60C7g3kQEDHVHNHeWHFf2hj+4r1+9tU/XlYJYfKgAsB3sishto126Xqfm3eJrqC8WkC19MZlI5hU254pVSRVcXy1t85yuBgtZF+bO+ImcYP6MEUjN2Nu5UeG5uLpxp59fyqnjVQvDlSpyaDK9oq/BREghPM/gfLYohZmMPj84y7saTm32lggJnjlvXMSlaigRkplUqaPTeKMg1cRROA0gbArkree+9Yrfi3axG1ZWVt/b4u+VjUQxWVlZWVlZWVlZWVldHlloewVlnK84HbH4kTfqBWx/+cRpBY5koAIXAYsbgbWtcQibeyPL8m6Bnrhjzc9jvREFia1xCbdt6lYIiLMTaNUbCzYhqjdDl6gDSJ8W9Go4d1G76AfaBnIBTKfItO2Oyjt2DSsoPP9ETsEbwNHvqykQJVeVsQGFAYQ4e4HI5OZS6CxZqOg/HHEEM07WlLHPZkpSKdWkUCoJ5tntA3EZcRyND9g5mFDQ+cihGZlYcuMmAKe4cG8cTjTHe9tot5yay0nQJ5IPVBs5rWUFx8BCcl4BeLhpv3tmUaZTBYWDvM5YWOddm7rkT791QscXCrjRCn/22Cl1hJKvq8f1KQLmc4uBAaEpmiYNiMvee92/55byur/pQlnKVdd1C1wFZk4l8wqTccr+xD3bm8+T2QcyfWkTmIrDlPUjz/XQRFLXIOL3SaXqAmTmGgv6hNZx19LPHWM9mkNMzm+54dZl3WYyBfnBO8fUAZ0cK6sD+8ahuPb/R48cazid3XiAXKWm64SrN1OoaKSFETxR595BQF3iFIi7ICaDNVV4XK1p2zwHLFWpDfFkHXEKm4xWAHMnRytjpW3yhbtDAS1eB4zG3UsfC7p2uJ5dR7gbIXHpom2KpK3FVS/GARsPkf8LtF0ftWWt13NlNOBooTZiLaysrF5Z2tYfWXGaxsrKysrKysrKysrqFQBt/+RP/kT+x//4HzI1NSV33XWX/PEf/7G8/vWv73j90tKS/Pqv/7r8/d//vSwsLMj27dvlD//wD+U973mPXGvyOl8BdRxhN1BW4wOqNQWIiOPwGzl+CND7+JcPyePH5xS47ouH5N27RxUKmxgAk2lrfgY+dQKsHKl//Pi89MSAV27eK/LGIAAagUjFck3OzGfkawemZOdwojlHnLi8hjsxlS/ruN5z54XiZGbc6KGD0zKdLKhbdLQnIg8fmpbJZEEK5YoCxrHeqK5JpVJTpy5Sl24VwOk6RHHbGvGe3++Tt946LDcNJ+QfXhiXI1MpdeJqpILPp1COPFrctvcNjDTdx790/y3aBlDW8flkMB7SuASuU+BI0axqVR7cP6n5u4mQOxcYHvm83M/8AH7/58kzOo/5TFE4sL97rEuzX2vFivTFQup8xsFKETBwqEKzmigINXr44LScmcsqcATOAuG08FfjfZYjU6roOv/VU2f0NeCo2QfmzVF/AGeqUFYIvmu0S+MSeA5fv3NQjk2nZCpdVGDbEwvpBwqAaBzC+8eX5PaxboXC9ArcpHP2CwHv7t7et2xfcSoD34HkuGoLpZpCX+4z+7deqWO5VpNquab7jFsWCM46REOu67odzQS6s8az6YK6YwGtfFjheolXaiZd0rHRNveGAgEpVsqyiOtWKbPrEkf8yLazpqaA3Fqg1XzfCkbV8b0GKb1YPJwp1bS/9Wq9CQ11x7HA1srqFSoiZqysrKysrKysrKysXmHQ9u/+7u/kIx/5iHz605+WN7zhDQpf3/Wud8mRI0dkePhC8S2jUqkk999/v773hS98QTZv3ixnzpyR3t5euRbldakCj7zHCzU+wO9rOm2Hui+A0vUIZ+Vjx+cU6gHmOIZOe5/40Vctc2waSAws/cjfvaiw9YaBhDpVDSTm+o++Z5e22ZpR641q+MJz5+ST3zim4JMCVGTeDnaFdW7qxF3IqXMUZ+25hbxs7YvKkWkXRnodxMDN3WM98t47NikY/cqBKXlpIqmwtj8OQARqZ/XYeqsjE2DWTRQC/5D0hKi6+aSOAlvG/oXnz8tMuqjOS64DNAJtOW4PJPXuCY7Rj/3QHvnk148peDYA+rnTCxq10EgzUOhdCtQ1bxXHq44lGpTPPnZK++U63MGsLUCeo/zEO/B6DPcmrttcSdthi5RfOxzprypkNcKh6vbr5uC2ZqAyfpPtenAyKX/xxGmFqGYfWLdskWiHSjNGAJBMoTl+BiLfNNIt2waqMrGUV7h+bjGnUBcoeSaZU2ctR/inU0XdL8A37l3cw8B0+mAe5AX/wcNHdfz1Oo7nCyAQcAvEpagYvG+9ztF6Y46Mk/Gyh6wlUH6kOyrpfEldsF5pNm3QL33xoDpte/yO5tHiYE/mgbPt+wFa83zky3UZ7ArIUq4oSwCKRjYsMJd+aZ82WiGnd07AbdcF7EJmHOm4eEtXmXdcxqjcpni2rKysXpnipIstRGZlZWVlZWVlZWX1CoO2n/jEJ+RDH/qQfPCDH9SfgbcPPvigfPazn5Vf/dVfXXE9r+OufeKJJyQYdB2qN9xwg1yrWq1YF98DLMm0BfS87bbhDR0/xKlLjAHH5xVK+tyIhU7/sOJ1HJfAtb3nlhQSU/jKaD05ukDHYrnqFnwKkEfrZrUOxuvy7Ol5hcdANaIEGA99AdCIPDCuTO8x/n3nkzKXLuhRfI6psx4LmZL0J0IabUDO7+eePC2Hp9LqdgUb4Z68bbRHjs9mlgEzvg7Eg43CWQDOukJaCmHhPNWCVIWygm0A6/b+mGzrj2mfwNrWeAmiIJgDcwYcBhycln51fdIZgJOCXGQBM3bgNG+xJ0s591g+EBNXMuOgz3OLeXUgsz5Ab/oG6AL7AJRGuHHpxMyNPnvjQckUqhqV4AWQfM++ft/Ofi1ahvv2jrFuWcgU1S1s4ONMhoxfn+YDMybmyvh3DMY1DmBuX1GyxZLm+AL4M8WyQnn2jIiK/kRYHZyzqaL+fHY+Lb/75UPyOw8elEyRqIZGTm7dLRLGdPC48jpFvobDAY1a0IiKYlkhbr1dMa3GN6xLtVpTh2uWrOKA2xYu5VyxooXOvIXjuLcnGpA33zQkm3rCsv98Sk7NZ3U/dM19LpBu1XiyqH12R3zqJpvPlnW/G4kmunZjXRF1NufLF5zdCBgNVDfGX+auLmFiPxrz5mc+5Nig2djKysrqmhF/R9pCZFZWVlZWVlZWVlavIGiLa/b555+Xj370o83XOML+jne8Q5588sm29zzwwAPyxje+UX7hF35B/umf/kmGhobkAx/4gPzKr/yK+P0X3KVeFYtF/WOUSl3IYr3SWg2E8t77796qfy5GQMZ9sbBMLuUl4Diycyghm3ujKwqFGdctr5ETS+wAUHJLb3TDGXXjSwXZ0h+TpVxZ4S2QCzDIcXocprjxyFMdSLjxArhFTTEwA5O9kRGPHZ/V8S8VygplGarf54LZ+3YNa2EuoOn/+/gpmVjMawbuq7b2yjtuH5YnvzSnYzLgFki2e3OvPHxoRp2Z5MwSOTC+mFOnKBEMlapIVzSgzkveI15h7/iSlMo1KVSqcstwl2zui6rzliP4oz1RJXGTS0WFrNsHovKabX1yfDarfZuMXCIHmBP3EC0ByJvR3Fs3dxao68ZKVBvZtr5mUStAJC7Sw5Pp5joPd0V0zLTP/HBtFkpVLZDl/vPZLWhnOCBjODiVVjjJHgBxaZ/nog48bRBD3MY4l584MasxAsDkqVRB4SRj0KJxFRfK46plTwG7FKW7e1ufXosznAJhOI2N29gr7nUjEUSCARyzdckzV6eqcHjP5h6JhPwaofDtozMKMw2uZu+JQzBzK9Yu/CUVobGG25k+eYsnu+J154poxi6aTOVlfCknZxrF0QDWuQ45r7xKHEJX9MJYzLwAsjzLPmdlxALXsCXN2IrGV1/jvoVcSb8PNfbSglsrK6vrUo4tRGZlZWVlZWVlZWX1ioK2c3NzUq1WZWTkgtsT8fPhw4fb3nPy5En5xje+IT/+4z8uX/7yl+X48ePy4Q9/WMrlsvzWb/1W23s+/vGPy8c+9jH5XpMBrrgwgaK4RtsVCjPQ2EQ1AHG3DyTk3XsuAN31aqwnonDPHLv//h0DerTeZPMCaCdTBYV6jMvxOeq0TU0X5c++c1Izdr2REcBfMlSBepUaxaocCWr8QVAeOjijfQIUQz6fhAN+2TkU0esBmmThMm++B5YmIgG5ZaRrRU4tzlMALvBxIllQcLr3/JLCU4p04Spl3By3x/nKUXiiBoB/jBmYjJsYMYZXb+tTsAicpphXtlhTkNkXx7k8rOMBnB+eSLnZp42Ig6lkQccAkOyP+RtxDm68ApNkXU1hOVzEI11hHQuuUgBqTywoOwe71JUMiE4y3lpdHcCsF2tKP5GAI/MaX0EUQl3dwuwF89CiWw1wmC0VZHKpoMDSsETuRSQvzKbd+IHucEAL1bHed27pUch+NJfRfWnHIL3O5zD5ttW6RjnkSzVZzJbVdQqUN/0BS42jVZ2qFEfztMH3ffGQFiHj2d7UE1UgDkj1pg5w7UyyKP/4wrhGPYxTyK0RISFrFD5DjGNqqaDZrV6XM8LdywcBrQLIM9520vzlRpchhw8kHOFsAA5ty26trKyuJ/HXHP/9trKysrKysrKysrJ6hRUi24hqtZrm2X7mM59RZ+3dd98t4+PjWsisE7TFyUturtdpu3XrxblbX24ZqOd10vLHZNHiavT5HHWxGnjZLqphrDeijkUTC2Acue3a94JdeJYeJY8G1T34mu29Cim/dcTN5k3mK3r0nmPqQLJipdIkb0en0/If/+YFdcpyjB/Y2xsNyneOzelxey7EJYoL9bU34OosanQEkBEXrM9H/EFYod8Xvzsu9+zs18Jp6vYMugW0vvbSpGatvuWmwWZOrRF5vI+fmJeJxZwCzD1jvZLMLeqcWQuyR10g7GgxtRuHEwrlmOtwd0CLcBEd8Klvn5B4yC+beyIKx2fTRRnpjmgBOLNerN+jx2bFqeIeddTpytoB/gqVisxSQM3BHey4DlpyXwM+zRwGROMaZv22JELaF6Kg2sm5jLbx9luHNSuXPWZ9iTIA7NbqjmazAm/DPoCi63QNB/1SrVdXxANU24BLLzBFQPjS6QUZiIfkJ9+4Xff7//fAgTUzTplDNByQTKm0LMaAKAUTp8AfMm/ZDxOrAOgvaRGwC8IR3R0NKFxnD4D8rB1Q2itu+86xWXUUU1RtoyrrQN018LbMepp18QoIzzPfqnbuY5OpDChvmV5HcR/7bVzZL4fYE+sQtrJ6ZYv/XfH1Q9MXfTLIysrKysrKysrKyuo6g7aDg4MKXqenp5e9zs+jo+2P7W/atEmzbL1RCLt27ZKpqSmNWwiFQivuCYfD+ud7Qd48WK+T1rhpH3hxXN9vV/jMG9Vgrmttp1P73niEHUOJJhSeWCrIh+7d2czmferkvOZ83jjUJYem3PuBcoAnrjkwkVTXJGPDzaog+cuHFJLiXgWaAh+fO7Oox/dxVM5lim48QKUmB8aTCpC29kdlPluR779lSN2655ZyspAta/EqhW5tCJtroKzreICG+8aXJFOoKDA0R9+Bq6aYWiDg07EAgcndXcq7DlGayeTLEqRIVo2c1LoCbsDaZx492czGBUpTJK5sgC3FvNT16tPXgbFETVDoi+8ZF1A2mavIHZu79R/JxE+wJrg5Z1JFvaY/FpRXbeuV1+3olz9//LQcm0lrH3okv2FZ5XuAKOOnT+5nPZeypVWBocLFhqGUpWQ9AZA4dJ8/u6j/aCey4jf+Yd+qzylNcB+wtRVgNsVQcQYHfbK1L6LF14iFSBeKMpdxQej/n737AJOsrtIGfiqHzmF6ZnpyghlmhixBBFEQUFZlxU9WXUXMAVRwVdhVFF2F1VVMuK4JddUFXQPoIGkEyUHiDJNz7Jwrh/s977l1i+rqqu7qUF3VXe/PB3u6ws1VXfetc8/feiraKqDPL4L4QHtcWx2gx+/hnpBkZ7Pm7/kD27EGQ8sVzpqtLUZO0wpsrapp7Gf0DB7KqPAFHCNOw9Aez4UGttZ8cVyhbYRVtYs37Okc1yzv/iOiioG/IXe/1MbQloiIiIioUkJbBKyolN24caNccskl6Upa/H7llVfmfM5ZZ50lv/71r/Vx6H8LO3bs0DA3V2A7E+WqdgXcdtvTB/Xy/jNWNMmh3tCIgUFyDXyG6f35hSPy121muwH0is3sK5tZkWvdvrDBJ0/s7tb5WdNF6JvZ2sAKhTN7837hjs3yl81tcrQ/pFWqqIzEJfwIRpEnIsjMnuf6BXXy+O5usUVEjptfpwNooQ3B3BqvPLOvW/rDCbN3KMKqRFJaar1yKvqrDkY0sEUIhmALobCvyi2ReEIDZISLmVXCVuCM3rZP7e1JDXyGKlSz9QLaCKCHbWOVO12tjLDtUA8qmM1poAI05jIHIEM7BYSieN4jO7tky9FBHdQLg6uhtQGqKhFa4v46v1MWN1bJ7s4hc/Axq+I0HNflQYiLdgsI/tBvFwEp+hNjsLTeUFT2dga0qtTvQHsFkQe3d2ko2x2IaLKHbZsZ5Nns5mBYiBIR1qLqFBWTrQ0+OdBj9njNZk8FjnhdRaJmhbR20EU1rN0m+7oC8j9P7Nd5ZVexYtCx1nq/9AQi2nYCA4hh9rkG/rJYd2nwnWohgYHiBsNJXX4D3RAQ2LrtcvLieq0sxpcEuA29dgfDL7d6yJaryBZhNKp5UV2Mn8k8IW6+jNKRWqbMSWf+G9PBaydX6otjFG0/QuHs2uaxZbZZ0GnJ9JpMZmtWR9ulbWD4AG5ENLPgPWhH28t914mIqLwtvXZDqReBiIhmQ3sEtC24/PLL5dRTT5XTTjtNvvWtb0kgEJArrrhC73/3u98tCxYs0L608JGPfES+973vySc+8Qm56qqrZOfOnfLVr35VPv7xj8tsgXD2zheOSm8wIncEY/LM/l6zv+oje7U1AAJQhJfz6v0jBgbJNfAZqmp/9tg+HZwKgRqqXc9eOUdD1+yKXCuURWB7sDekFa2ovAVMFz3tntzTLU/v6xW/xyHBKAYfS6TD0cw+ssuaqmR5i1/+9MJRHXQKlZIISDPniXXFwGEYHAyX//cFo9JS59NWA+gLG4i+PNCVDjxls2kQeseLR7RiFW0F6n1u7efb1t+joWiNx6XVsjfetVWaqj3p4NtaN9yH6tUqt1N7vwIqXbEO7zh9sf5uVSsj1MXAbaiIPdgT1OmjchXBJlo6oJcsYDoYwMsaXG1f15BWxTZUuTSURguFDgzeFUto71oNWtF6oB+DgKHS16b9dgHzRLCL/9CX1Qqksd8REiNxbBsI6XYxg8vhsRr6yEoqaMWXG91DEQ1aa+q9cv6aFrnjucMyEI5rtohFQXUopoBwDeuJAPtoH7aRU8Nk7BcE3Hjg4d6Q/PKJ/RpgZgajS5ur5PXr5kv7QEi2Hh2UPZ0B3R65QlWtwk39G0dNY5VLQ3GbzZCuoaguF6afMFdDA2JsUyzrZKo+ESAjgK73ObVqVkN+DIgWNZcTx1I8bpihblZYid/r/G4ZCscklKdUNpnqV4sQOpeJtGuY6XBM9eVoH0FEMw9a4xARERERUQWFtpdddpl0dnbK9ddfry0OTjzxRLn77rvTg5MdOHAgXVEL6EV7zz33yNVXXy3HH3+8BroIcD/72c/KbIFqVwS2qCJFVe2ju7rkwe0d6cvjEby2D0bkfWcvT1fWjgYBKvqkBiIJDcMQ4nUMhaW1zpcepMsaYATTQ5j1g7/t0crERr9HwyyrKvahHZ2y6ciAhoWDkZj8+skDeiKH/7DcGKgMg1VlhqXve9WKYRXEmVXAaCeA6sQzljUh+tTA0OoNi9BWQ8osCN5QoYqgE1WxCJfRtxUtGHx2m7YW2N4+KH964YhZ+VplVmBjHRGA7+0c0uXF4GK4XB0DmDlsdjlrZdOw7WktJ4JprCeCZswP1cBzaz1aDYttKYZNvE67hn/oqYtgfUGdT+bW+eSFg32y6XC/VtUmMIBbVm9SHRwsmtBBxrC9I2ilkApTEfJh8C4sK8JhVJdi32vLgqQhCxrMoH370QHBVF8eAAyDk9k1HM6s0OwajMr2tiENYxEuRhNmn2Bsc2uQLbQheNXKORpYr5xTLW39IfntM4fMsNQwBzLb0xUQNIlASwnkw6hKRpj7m78f1KBWe/gaxohqV6uFQOb6IyDtHMQgX2YfW6v3rYa42kfRDFsToxSo4njwOG0SQS/fUV4HqVXQ/WQNBmagfUXqSVohnPHY7OeiAhrvRU6bkbfFAaZBL2OFLdHscbr+nSYiIiIioooaiAytEPK1Q3jwwQdH3HbmmWfKE088ITPJWAN8ZcL9d6QCWwwghZYCezHglIZTdg2GaryuYRW1o01/IBSTYMSsyEwmEHLZpXMgoj9R/YoBvxDGYnp4DkJC7csZEe0hO6fWIxccN1fngSAVA3lhAK5qj0uiqV62qFRE+Hr/1nZNxtCGILsnbmYVMCpqUQn7yK4u6R0Ki0uX1Sbnr56r4SrWBcuLalGsrxX44bYqt1P/Q/iGwA7LsL8nKGvm12olLypxEVAiyEOVKALOuza1yU8f2auVrRgEDSHl3DqvnLCoXrcvwlkEelZP2sztd9tT+3V5MTAYKgfPPbZZLjlpoWx48YiuO5bL53HIE7u7pGswbvY/TSQ1YMe2GwzHpHsQbQNGhoHIC1HNiupM3I/wF+Gl2WLAEBfCzERC4kmbtmRApfHCRp8eG6jCRQsFrep1mhW2CLPRGxjZodXSwYIQ9+m93eJI9dbFoGXYflh/VJxarSB0MDeHXc5c3qj7H/M1jx8cZ0nxik0aqz26bZ12u94XMZJaTYz54osBLEOu4DNXtS3aOJitHMw2C1aIigrg0dorZE4Y1cljxaXIpTFfK7CFzGB5rHlhe3qdNmmq80hbf6Rog3ON1XOXiGi64b3z0xcdW+rFICIiIiKqOCUPbSvBWAN8ZUJgiIpQVNgiUMPAXQjV0CsVl8ojUDt9WeOYLRWue8MaDR5RPVnrNdsPaI9Qj0Pm1npz9rQFBL+Lm6q0LQDuW1jv02XCPKwWC0OBmASjSVnS6NPnWNPanhp8LNd0M9183w7tfYuq3r5QQuzhhIacD+3slISRlC1HBjQgxLK7nUkNaRE2otIV6SpCR7Qb6AuavVMRMqNq9pSWBgnHhqSl1hx4DuHmEYSmwWi6tQQCsUUNPlnXWidXnbcq58Bsup2dZvXwX7e2azDcVOXWnqsP7eiSfzptifbwPW/NXF2XP714RMKRhMxv8EogYu6jY+fWaNj966cOyN6u4IgTYKwDqpitnrYIjRGG220JGYyYNZ8IUq0ANmkzdPCzOdUeDUWxLxFIOxCchmMSjpr7YW6tT0KxuFbFDmT0UDVSIWUsmZRqDwJg0WpjzAPVxKhcTl/+arPJpkMDcnQgrAOxYUA0ZJpurfRGBa+h+2IoEkehsS6fFTSa1b25Y8eXq4HzMwdQy98KYUSoifYOxsvPyzftzKrjidB9Y7fpMWvNC8EygtwYeh1PUdLKwJaIyg3+NGAgSCIiIiIiml4MbYvIqoDVAcTiCW0DgFYF+cJMQNCKwDWzlcBpyxrlvx7cneoV65d1C2rlOxt3pqtCc7VUwOBjCB4f292lVZYI6FCRiIrU1x03V+5+qV17heI59T5Xujet1fsVAR7CR8Cy7OoY0jAXge9LR/qlyuOSy1+5VAMz9KVFSIuADzdk98rNtq1twOzTmjTbBWAamFdvMCoPbu/UMMyPatoILuG36Twve8Uief36+VoVvLszIIbRIQd7g/o8VB5jWgi50e4BA6EBlqe5xqPTqfE4ta1DMBKTQ72GbD06oGGttf0yQ+z7t7TLkf6QhrUY/CoWT2g1aCgcl2f298gHfv60Vvru6hiU/hCqa9GH1pDuwahW3SLw/sA5y3W7bW8bHBY04t/NNW4NojX01ApikeUt1dI5GNZBwJyoMtUg0qZBKTZIOBqXUCQhj+/p0dD5g+cs18pn7G9UiWI6aKeAXYZWGENZg15Z1cp2h00rthEaz6336OPw+EAkqvPCfkfVLAJ4tEFAsIy8U9fBMMxK3lSiiun0jlHlas13rMwUj6n1uSUQiQ2rhs3kc9q0+txlE+kMmr1SsSioorWCWyNVsZvKvacMwm2sL45rbG8co5h3cKrS2hxYdUtE5cBqoUNERERERNOLoe00VNgiWEPvVfRtba725g0zRxtQ7IY3rxtRFfrioT6tqkXIhkvbUXWJFgFoI2D1iw1E4xo4OZ12aalyy7rWWvmHE1q11+reriHtP/rwzi6Ru7bqQGIIU5ETYnoI2hCaYn5oK4Bg0u9xyvqFDenes2gTgMfH40l568kLZEf7kPY9zeyVmw19VBEUGsbLUR7CKbRDMH/BgGMRCcfNEBJhNSpz//HkhentooOzPbxHOociGsaiFQGqbdE2oNHv1n+ftbJZe+z+/LF9MhA22y0kxQz+sF53vnDk5e3XG9TthPB6Z/uQdAciGnSjChaVpZFETEO6RDCmbR30knzDDBer3Q5JJhMSTSZlcbVfzlvTkt73eExmSwC0bXjt6hZpqvJoaItQN1aVlFMXN8htTx+QoejL28QclAzLZIbbPqddEqlKT1QDI0hHKwYNRlMJ36HekA5Ulx2Sms8XaazxaMsDTLNrIKKhrQ0hZ9yQcNyQgUjmFwqGWONIWZW66GWL7WR9ESASGfVYLjR0xPZBb9u+oLlNM1soADIDhPColu6PJnJW0dZ6HLohcNx3DE68n6pVSZsJs7ho3Xx5dFenDOlrSoouezA0BrhEVAq4Widz0FEiIiIiIpoeDG2LyKrgPGNFk8ju4QNtTaTfrTVNVD8iCEbFK8LXkxc3aBAZSTXpRG9TtBsYjJgjPiOAisWT2u/1sd3dsnp+m1al4kTscF9YQtG43P1SmwZi7YNh6Q1E5UBv0Oz32ujX6mD8e/2COnlgW4eGtAh3Uc2LKlusI0JAVMB2DkVH9MrNhuD4YE9QK1n7g1ENxGq8Tg0y17bWyta2QdnVHtWgCkEdguXNR/o1IEYG+tdtHRocHtdaK73BmNgMkaZqt1aHIuTE9kZ42VztkYuPb9V5Wv1nEcDiUvcVc6rlkZ2dsq8rKKvn12jYhwrSuTUeeWpPt4RiCd031qBYkq42NQNTVMJaQRoGE0MQimn+8xlL9LFaXR1LyImL6uUxhLwIPFMVS1uODsr7X9Ws2wYhPFpb3Lu1XfqzqmNBC5xS7QLcLnOAsd2dQ3LjXVvM3rRWa4JUooftkiviwy1+r7k/2wfMoFWDWoS+CfPRqVmNGQ6iTQTWF51rCwkScz0mO5S1O0TD9/RjM1bBngpmrcrkfPPE/qrxuXIOejbZ0NbrsOmXGgjE8RqcbgxsiahUAtGkfk7J19aJiIiIiIiKg6FtEVmtBjRArPFqYJt90jOefrfWNO/f0pauMHXabBq2NlV7ZCAYk64hDHqVlAa/2xzkKR7X6luv06GVq8FYIl05i0v/MVAZKlAj0YQ8va9bWw2g/y3CyY6BiDyx16wOXtlSrfOPo/eqw6bVqwhqa3zOdNsHhKYIFbFcqPBNGkkNdxEMZwbSK1qqNaRFaNvgd8mJixq0BQIqkFGdi7AXVbTYHmgrgQG4aj0uDV4xHwykhqQW/V3ff/ZyXS4En+2DEV1m9K9d0VKj08P80H8W4S1C3/95Yr8c7QvJ4Z6g9Ifj0lDl0rAVAejKOdU6+BaWK7NPKy63twYSQ+ibqzcrBjW7eP18DZSxjKiwRSUsputwOMTlNAeQQxi4p3NIvvvXnbpt0BcX1b7P7O/OUV1qDkCGbYonRmNJreZFgTJOor0oLE0FlD63XY+hUMyQcFYlqrWsqG5+/mC/7j88Vi95jby8HoUWj1pBtdV7d7wBKR6P7YKDDMuiYboeq0ndBrjL63boMYhgGOsKow3+hVXB0uCYbKpy6ZcWCPAnIlf/W+xPDJ6HLz4wIN1AZBpKbYmIygDe/0Zr60REREREM9fSazcU/Nh9N11c1GWhkRjaFpFVUWv1ps1VYWtVZFrVoWOdGGEa6GWKYBEVrR0DYXnpSF/qMvqEDEUTWnkaS4S1j+uixiqtVEWYZQ/HZXlztYa4qJydX+fVcBWPQ8CKcLCrO6AVp8i7EP4e7g3JW09eqPO95YFd0jUUlv5UOIwen20DYX2MBoCGoZW2OkiTiDy7r0fa+8PaCxdBM5b7onXzNJxD5IXAGGEd2jRgwLXM1hAYHOvr92w3g2kMAJU02wEMRmI6QBkG2jrSF5J7NrdpP1j09EX8h+XoD8dkQb1Xl9nazpg3qpLRNgHzD8WGZG1rnQxG4nLPS0e1ovfslc1y/9b2ET1VrZ6xkOvSfQzshWV6cEeX7O0cko7BsNlCIJbU1gN4khmomv1jcQMu3//Rw7u1jcX+nqDEUlXSFlQzO22G9tPVfztt5nbLWBYU5prVyDap9bq12jgaT2jFc64UFcsUN5ISTZjTQhU2etQaGWWlYwWw2gojK68cbzSKQnKEABhArqnGLUd7w3q8JROG2O1mr9z5dT49Prce7R/WMiIfq6ctlqYLx+AEA9t80Lv2zuePSK3PoQOPZW4n7GIsM16TUzxbxdYIRFRK+Ns1VlsnIiIiIiKaegxti8gKIK3gEAGdVXGa7ncbT/W73d2t1bj5Towy2yggrEUVLYJApDm4L5Y0NOC0qhjRs7Wp2is/e+9pWrmK0BIVoKhARICLylnMCxWzCJsGQ1G97B0DbCG0tMJA/L6tbVDXBSHrge6gPg4hMQauQug3GEbvWVTzoroR1ZI28brNkBI9ZlG5ix61qA7GvFA5i9A1GEvqwGBP7umRI/1hWTGnRtcV2+ehHV0aQi5o8Gn1LNYtkUxKXzAufYGoJMQmDjHk4V1dsvnIgLZ4QNVmY5VbB1ZDKG2FtVhvbCOEqYjAtL1EqicsetZiuj63U6uK2/pDwwYNsyCTRjDncjg0GA2l+swC/r3t6ID40Cs2jmA2ru0QdBrJVEiJ40EHskqI027XwHJ/V0irn8GaFrYpQmptfWAYWtnbUu0xB1GLvjxPC35HNW6tzymLG/0aViP8x7bNZoXxqF5FWI59hfQ585H5wkGsP0Jen8thtqTQ8NUmkayUspCAUTNiw6wWDnRjn5gQumJgOQxCh2rWLUf69QuCQmAxzEHtENyb+3cqk05MClXO4ZhNohnV1tYxEspVnjsFNBBGn2pUWhcjESYiGgPe3jK/dCYiIiIiounB0HYa5GqBkO53u6xJByjL1e823zQQCi6o92nP1guOm6vh2y0P7DYHxsJgWbjs3GmXM1c0Sb3frdPEY9BeAAOG4XkILBHavvvMpXK0Pyz/98xBCQYQfKJvqnnZ+8IGv4aaGAgMEIRWe51arYrgDeEuBgprqnaJy27Xfp+IsTB/85J2NIBNSk8gpANlOewJDW+t1gsIP3EyiOCrLxjTallUGmNdEbQOhhLSH4prWIzAEUEnponnuJwItMyKUVT9IlS2JQ0NbFG1i2XE9trfPaRBL4I8BJXmwGBmCIaKTKsDbCQek3tfapcqt0PDQzwsMyLTDDCW1FAR+8AKRa3wEn2Au4fErLbMyO+0pUICwSqe5xB3NKGBt9nG4uXqVSuPQyiKsNushLVpVWfHYMQM4hFO5jg2EOguqLfrAGh3PH/EDCyz6HNT87D6wubIddPrlB0PYhC0ZS01WgGNfYWnZoaI1nO0tYEOgJc/xMysXB52OwJlHVFNZFcnAvWRA6qNBsckjimsLZZjqjNOVDln9x0upAfwpOaJYzM2vu1ARERERERERDMfshwqMiugXdpUpUEcqj9RmYlL6XFpPHrG/tMrFmlVbr5ByDKngUvxEbxedd4qfQ76tc6v82ggaYVnCxu8OnASIAS9d0uHBrlHBsKy6XCfzhe3oZ0ApoOfyMtQTYrAC/9G2wZUeq5K9bNFdS5aECBYPNceSwAAnCxJREFUQ1ir/+Fx0aRWX6LaEBWSWDYsa3O1W1sHpK5al2AkLjvah3SauN8qhsR/kVhc9nQGNMzcfKhPBoJRCScSMhhGCwUz2UVYiOdg/bEcCCcRvmKbNlW55ZQljXLusS3yphNaNWDGPFB9OhCKah9ba71QWZsZyuJnMjWAG7Y/1gmPtV4cVrCrLSMSSQ1/waxqRisKQ7cJ+vvaU6GjDiCWgmkjDEcA3ljtllo0o81ghYuYL2o4ET6id3AY/5e+9N+WN7jD/ajORdC79ejAiEG0rGUwCgwZsT1HsNlkfWudBuhWeWnmdKx/4/jBYGxzqs12FzmXd5R5oxIZATiqiicSVGKTZQfnU6VUda4MbImo1PA5goiIiIiIphcrbadxQLJ93QE50B3QAAxhIn6ignS0Cttc00B7g8w2Cggaazwu8XucGt4hFF3eXKNVttmBLwYLg4UNPnlid7f21EUVLoLW/d0hHWAKl9ujkheDmyGw/ci5K+TO5w9rxa1OP2GGngjvnE67uF12aUj1mUULgOMXNaTXs3MwLC4nWhnYJJJM6vOP9AW1gja7knWuz6XtFA71BuVIP6pLUTmZ1JYOaCmA1gN4/ilL6uWFQ/26rHabIUORuFR7E9ov1xrEDcu7vX1IOgcjGuShUhUDgWGeaKWAUC+RVZGK39DKAQGsW0NXW/qyd2tZ0V912EBkqe2AwNzsN4sAd3jfV0yqtd6nLSv6g1GtUMX2y6ywxWMa/U5pqPZqMIrlNitPzepbtE2IJ1CBOzzEw/Z22pJysCcg19+xOW/17HhkX4aPjNbpsMumI/3aLiNXKGw9DkH67U8f1P2WuX6FmorqWK1KRj/gBHvBEhFNBQ5ERkREREQ0/RjaFpHVhxZh57xaj4aosXhSw7sVc6o1XFo5pzodNGY+B0Fra51XQzv8u2coIjYDA1Ml5YLjWkaEvGYFpS3jp5Ez8MWAWwiK79p0VFsUtNR45NZH92n/1AUNXq1mnVvrkdce2yKLm/yy6VC/vOsnT2rV7doF9dIXjGpVLgI59NFFJe0rljVpiPz47i4ZDCd0YKt3nL5Yg1YM7IXepAhYXUmz8hUVtdbAUU5UtNptUl/llpUtNXKwNyDtAxENjnE/QkBUshqGWT3psmutrxkKakWrWfbZ6HcNG3jM2uYISVGFHIwkdB3QugHb3LDZ5KXD/cNCQgS1VR6HThPPS+SI/Eb0lLWJzKvzasgaCkR022vFLKpfHWZvWuw3hNdel1O3nfb9RWCvybdItduuoajD4dDl19tTJdP4J9olJJJ2DYWTWS9ehPHRmCE9weEh+GiwzVNFvHlpJ4pUCwUcg2iLsPUIqnjzPxGDiGkLgaxAfrqhbcdE4XDKF0oTEVUi/K3lQGRERERERNOPoW0RZfahRXXsKUsaZMWcKr0tV8Vs9nMQeCK1Q1uDgz0hWdTg08HKcKl9dhsFDE6Gas8oBhGz2WROtSd9nxXwolLm7JXN8vzBPtmw6ah4kN7ZRLoDEW0n8KYTFsgjuzo1uH1yb4/88skD6UpXtASo7QlqFSYqeRGyIkCcX+vVUBVVu4d6w7Ko0aeBIAaTQhj9Dye06jrds7lNDvYGNYBEaGkOGiUSM0S86N0aS8gLh/o0pLXCVQSbyC61XUDS0BNHhNZP7+vREBHdRY2Eoesxv86n2wQVtth+uMQf1b6YRiKBQZzMy+0RnCKoRZB9tC8ogUhCt5eG3IbI3Fqv9AZiGkijohjrj3nnCvIQ8KF69/Vr58mfXjyiLSLQHiAWT6QCX6yDXbfxUCShl/zHEgnxOh1S5bHJAAaOS6AvsF2nP6/WK3Ft3WBo8Gt2CEalLQJds9LYalygU7ehhUJSQ8rx5IzawWGMJ2RW7Fr9i8dSjJYE042BLRHRcNVeh5xzzJxSLwYRERERUcVhaFtEmW0JENIiNP3AOcv1PvwbgW12xWyuVgZet0ODzvbBiP6+rW1Q5PnD+tilqWlg8K1Vc6s10MVjG6te7imKMDOzmvdIf1iWz6nScBYBKaojUYGLZdRBpgxD2wSg6hM9Y3FfLJnU6lVUYGIeg5G4zuPSUxbIro6AVtNiEK9TlzRI24A5oJgFy4PgEwGqNcgZer5aPW0RfiIMticT2mohmTAkHDXrhZFNJxJmeOlx2TVMxSX6VsEncsJQ3NBl/9rd2+SxXV0SjMXF53Lq9kIYjeegcveEhfUazqKStycQlWPm1kp3MCID6JWbMOSYeTVy8uIGHcTsmf29OlBZyB43WwLkuG4fVbN2MeSBHR1aKYv9NhCKv9zywC5S43FIXzgukWhcq26xPbGuC+q8GhCGo3HdJtVel5ywqF42H+6XQCSkcS3WH+uH6uWGKnuqr615G2j7hFQAPhqrTQG2IdosmMHk1KWTBWTA6eXANsCxYPUInukwQJvPjUH4DP2iAcH8LFgtIqK0wUhCHtrROexzBBERERERFR9D2yLK1Yc2O0Ad7TkIS5FOdg5EtCIUDsaTUnW4X3Z3BjQkxGOt5/1te1L7yrod9lEvZcRjX/R7NLw7EkY7BK+sb63VHrY1Hqfcu6XNDEZTwRpCQwSrqABtqvbKsXNr5EBvUFY0V2s4ipC2pdaj1cB/39er1cDW/FFl+/PH9knnUERLQxNGUoNUBHcYZAyBca3PpYN0aduAhE2CKL9NBYHoS2qzqnJTbQUQYqOPbabdXQHp+ftBrTxFRW7cCGubg+WLGqRzKCz9wZgGqy+imjeWkIUNfg2l0TYB88d9Sxqr9OfqeTUapD67v0/m1Xm0p+wTe3qGhXHYHtVuh1bLJo2ItNZ7te3EYDhuVslqIG0GpNGYWeWrwbUO1mW2PMDAZ1gnVL4iLEf1Myp70XMXla7WWGbo7Yt9VO9PyJ7O4X0Fs9ry5mQF41bF8igdDsYd0trGEd5i/h6H2cIDXwzYMgaDm4ncdvNYxD40w/hZUGpMRJTjvXtXx1CpF4OIiIiIqOIwtC2izLYEuapq8z0Hwd0D2zq09QDaHmxHZa1NpKXaI3HD0BYCqLzMrOCdX+dNXfduXv8+WjBnLQf62nYPhvWy+02H++XyVy7VnrMP7ezUkBNtBVKT076t+Nk1FNFwqqnKI69Z3aJVuwiPz1jWJCLd4nE6hg2shmpgPL7a49SQEmGw3+WQpY1+2dExpOFdtcclsbihQWYgGBsRAtb70GfWLkPRhFbzzqv3yo62ofTyAfroovoXAWtzlUeGomYgjNYOtV63VLmduh3Rkxf/RiUxWiwgQD5v9Vy5a/NR/W9pc5X2n0UbBgwehtYPVdVOaalxS/tgNL1cqNzVlg3oWWuzic/t1GpLhPK43+xDa0h3MDqsDy3+jcpfhLT4iRVEewc8VvvoZvStxU8EwFUep04PoTnC13wVqtmhqfV75iX/hVa3IjAeK4K0QmXrcWNNGvejEhXPQ0V1GDtoBsP+s75sGE/FMRHRTIMrUIiIiIiIaHoxtC2isapq8z0Hl92jhSiq+DqHonJca61Ws1q9cTHA1uG+sIarR3qDsr8roJWYCFwxwBmC3KP94VHngVD1p4/ulZ5gTGoQGBpx2bi1Q1bPr5XjF9bL0/Ee6RqM6KBVCP16g1EN2wzDptWkaJGAENeqDD7UF5Lmaq8GtpnrjPtR+XugP6jLjhYHWC8EomsX1MnzB3s1/ETVq3XZfHbwhT69SYchq+fWaGiNB6DPq5FMmIEhLv1HUJ00tAK33u+S1fNqdXs0V3ukrT8sLxzuk95ARKtsMb3uQFSrdhv8bnlib7cOyobtfrg3qK0TsAxoj4DpHuoNaVsFLzYGqmeTqIY1q4+1xUEsKc8d6JN6n1MHSkP7A4fNpsFkPIn+tsNpVptaDyw/KouzA9DMx0bjCTnUE9I+vWO1HvC7bDIURTuKSYaIeZ5sDbKmYXCOp0gB88TzsM0KWQTrZznGu1hPVHYTEc1meA/GQKpERERERDS9GNpOE4SSaBWQ2Yc2ezCxfL1wcbKEQcysil0MCHLzfTtk06E+CccNDXR7AhGpr/JocJc5wFm++eK2o30hrQ5FCItWAqgYfHJPtzx3sFerfRFKOTEYmM0cAAwVny01ZsUt/jvSF0736EW7BlSxou8tBgOz5oOfmO4P/rZbWzesba0Tj8uhLRbwXCwH1gsBMloS2DEoGfrbiojLac4bJ4yoikUQjUpa9KxF4Ip1NYNkBNF27Sla63bq4xHYXveGNboMH/3lM9KVqp41u0yYQZvLbkitDy8Bm1bOYjm7BmPDA0LDkIFQTJcDVaroYas3W+Hryw+T3qDZGgGtEmp9bt0evYGkhrhZkxwRbGIAswgqNjPuwLqhdYPfbdcKZ7SKyK6U1bA3tT98brPK12bD9nu59+14ue3mQGS5ctvmard0B1DFPDKaxTJgO2L9AtHsqHr8jDIObEfDilsimk3wBSUGUSUiIiIiounF0HaaIJzcsKltWB/afFW42b1wcbKU/Vj0n22ocqXbIODHwnqfrJxTPawVQ775IsRtrfOJISGtGkUGt+Vovw7ShX9bmZzNbpMGr1MDQSwLAl40I51T7dFw0gqEEVAe7gtp24Ed7UPp+SA0vfSURVqZe+cLR7SKFa0BEISidyvCPQSTaBHQa5XNavsBu1R5XBrkhmNxbRuAgcVw8oi+qAhFzf6shqxoqRav0yGdgxFtJxFPJqVtICw/fGiPbku0HghHkxLKqorENF842JcaIC2pVbK5AsKMxUrfj2DOGlTLgn+hQhpVvIsazRNcHTgtFhnWAxatihHAZsKgZTZM3BrETET37/w6n7QPhM3evmgCmwXbAxPFYkRiSe1/i/WxOczB3QqF7Y8AHxqrPdIbjIlhJLUtBbaNNSlUfufIa81to32HzX0yFcFl/rri8maFzQxuiWg2wPtZIe2diIiIiIhoajG0LaLMKtdtRwf08vbMPrSF9MJFMIqq12/eu117yiHgXNVSLQvqvdp2wBrgq6narZf6I4S8/ekD8vk/btKK1pYajwaI2fNFmNlU4xG7HZf/B/WxPUMRvawewR8qRq3erYsa/FLjdWolaudgVPweh/zTKxZpYGwFwpsP90udz6kVu/u7A3L35rZh1cT49zP7e2VfV1BD1ecO9MqLh/q1py1C6Vg8oQOIYaZWEB2KxTWITI3Blg4GQ3FDYoGozgstDU5a1KD37etuk1hfSAcHQ2sDBMX3b2nTeSB4zAxYdVo6DwSMaH6AWRvitOcf3MtqFWFlqwiDc8HtW44OyPLmKjlhYZ2Ouo2KaCtkNauahz83FDUHJHPZUz2Ea31y+VlL5a9bO2RX55DuD9yBdRm2DqmA3Za6VN8cMC53YJjKd3MG05G4GbTi+eFoXJY1m60lEPRjeUIYTC0jzM8HrSOyCoYnZaYGnzN1uYmIso3j+z8iIiIiIppCDG2LKLPKFT1fkaZlty8YqxcuWg1gGri8/2BvSBY1+rSS9XVrWnTgMPShRdhW7XXI33Z2aP9WK3S0hRPSG4hqVSvCTWu+CJMRwKLvKgLGaq9Lw2BUtKIfKsaHwjkaAsR1rXVy0uKGVCVtWNa0erXNwdajg9oKAZWwGITsQHdAdnUEdNnQUsHpsMufXzii8zWrer26bKgyHQglNAQUSeiyH+4NaTDrcIg0Vrm1zQCCar3UfkTfVrskkhjMypA6v1tD6fb+sPSGYlLlcehgbYmegPaBRVCOtgJoPYAZWT1os2mImjQ0bHQjmTUMrZjNZst6fr7zWATcGFwNVcdH+kP6HAT2CGpx8ougOBuWDT1wG1LrhB7FT+3p0QHikgmzVQV69mbLHgRstFBVp5H/bjOINkT6wwmJ9wS196+2bYibgW0hUmNyTRoC/Mk3WCAiosnC2z/+nr/11EWlXhQiIiIioorC0LaIEGp2DYW14hNh7dxq74j2BWNV6d729EENRvF8t8OmQSum+fvnDmu16zcvO1FD3g/94u/aHiCzStTsPWsTr8s5bL6Y7r1bOqQrEJEj/WENOxGc4nFeJwYEM0M6tEToCUZ14LOd7YNyqDegFbvon4uKWVTWIkgW6U5XjiKEdTntMhSOax9bhKcYeCwcTQhqOTFtXHqPqldkqchu8bvVC7UvGE8vfFAv97eJAwOUpQJbhJs2sYnX7RS72LT62Gw5YNOB03qGotr/FsuPalv8REUyqocb/W4ZCMe06hUBsFU9ZEaiZnCKdUa7iHiO1LbQi/67h2IyGEloGwesP9ZrrHG3sH4ISTUQH4rKns4h3Xf4HbPMF2Dai9DzFWuI8D7YFdDlavC7dAC3QqqtpmpZDPYXICIqG/dvaWdoS0REREQ0zRjaFhEqXA/2hDRsRX/R4xfUyVXnrRpXlS7CMgSjVW6HTgPtEAKRhCxq8On9gCB269F+Df0yIbBEf9MzVzQNm6810BnCZCwbBheL+5P6+zmr5sh9W9q0ShRBatdgVG5/+qCGcf3BuLwQ6tNK3NYGn1bFopJ0IBSX5XOqtJoUrQl6AxHpGETbBkMH16pxO7WSFYN+rV9QJ3/b0Sl2rT61a4iL+xCqosoU85lf65Ud7YMSNwyt2l2AXr1zq7Uf7oHuoIbMtV6X9rhNxkTsfrcumwaLeol+qq9oqk0AKkXRM9bpSIrbicG6zBAc1b5W/1EsO8JJVCPnao+AxyBoLiRLxNMxnUhMxOfEgGlmb1vIDIstjX7zZYiHIFg+0BuSZBQjgaW6uo4yU6uNxViB6kQyUKuXLwYeG+u5qMrGMhRakTvmso5jOsx3iYiKC3/riYiIiIhoejG0LaI6n0vDVbM1QUIHlPrOxp3aTzaz32su29oGZUf7gLYJQB9T5HdoMTAYicvCBq+csaJJDvWGtEctAl4M7pUdXLkdIicuqpOrX3fMsNsx/xcP9ZltBYIxcdrDUu1z6iX5CMu00jRpSE8gppW90URCljT6Zf2CWjnQG9RBv9CDdvORfg1IUXk7GI5ptWuT3y09AZtUue1aJWokRYKxhLYgwL+7h6Jm5avN0GDT0huKa/CHat8DPeh7a2gAiCB6MBLTKlpshxqvQw71huWIETbbHYhITzCml/EjNMQy2Oxmj1YrkIVqt7l+A6GohMRshYDHepwOmVfrlRqfUxr9HnloZ8eI3reSMZ3xhIN4bBgLlfEka9KokEVojTC5qdorHpddBoJR6Rgy1xOhMn5if+Ax+WacsCqEnfZUy4n8yzJRYz0XwX8ytb+mwngnw8CWiKjIrC8RiYiIiIho2jC0LSIMIobK2CBaAxhmkIgBvzC4E1h9a3PBwF6He8NmlWbCECOZlPUL62VvV0DiCUMDW6tHLSpnMaBYZs/Wlmq3nLmyWdsi1Pvd6ela/WzR6xWhanONW4IRtBNIir2pSu7b2iahWEKTsCgqYG2GzPF4ZHdnQNoGwjKnxiuXvWKRPLyzS6KJpIawCIwRgCKMRaUoqmnRi9U6z0PfXI/TJuceO0erSFfOrZHmKrc8sL1Dg1zch5YF0QSWPz6s0hXPRSXv/mRAB9pCawRsS+2ImxqAK5kwxO+yiceB4NbQqlYrsEVFMQJa7UebxKBnNbKzY1CDaYTqCxt80lTlka1tA7L9KEJyI2fLgWTGQF5GqsIV29oYpUWBLTOkTZ3vWhWk+IEqY1QDH+xBGwIEn0mJm5veDCJtCJVtMr/BI4d7zL6/ueaBamp8MYBB2wptT5Cr4ne8XAiW0TTCZm5ntFQgIqLZB1fAEBERERHR9GJoW0TPH+yTjgGzchLhIy7rR0/Yfd0BrZAdrZft7s4hQSFunQ+VqxEN8PBcTAcDUuHfGBwMfXPRhgEBmtnv1QzjAtG4Brxnr2weNn2rny0C26FIQoaicZ2mTVzafxU9YuOpAbmSqYGoVrXUyN/39chgGI8NyYZNR7XaFoEtKnURTHpsNm0xgCAZAS4qawcwIdyHAbaqPPKKZY3yypV2ufOFI9rqAJAbou2DBZW7uQbHwmNicUNDQoSkFgSGWG/Mc1FTtVbSolWC1ZoBwaw56JpInd+l7RGOmVsjO9uHtIIVQSf2x9G+cLpiU1spaIXx8FTTCoJ1fnaEzXYJRJN5L+XH4zInkf27hr6G2XYhu14U88Y8fB6HeJ1OHdgN65OLTmOcCexUjAauxyIqbZ02GWRgS0Q0K+Hv5wVr55Z6MYiIiIiIKg5D2yJ6Zn+vpnw1HqcGqwg5ERBaFbLZQS0qZruHInK4L6yVkyh4DcfiGjSipy2CXLQOWFjv08AWj0PvWfS4PWZerezqGNJByzC9Wq9T0zzrisZhA5vFzMegbQHgIZ2BqDy5t0crWW1imJfuixnAPn+gR0LRuAaHQ5G4PLu/V1pqPRriWs/HOqGVg90W1XYGgCph5Iw1Ppc0VXs0qP7oa1bKk3u6ZdOhfq3MRbWpPjYVaOaL/jKrSJNZgSWWq9rjlMUNfknU+7TyNJFMarVvjccly5qrdHC0FXOqze0ftcncOq+G1Gg3gdYLGv6KTexYEBEdRMxuH97CARCkYkA0hKwIbDPDTzxTn67VxSMDWu0xnIpnC8lMsR4IYzFIHALSXDAPVBdXo9MGWlJMY3hqzWmyge1UVP0SEVFxrGjxy8XHt5Z6MYiIiIiIKg5D2yKqciM4RV9WDIRll+Zqt7YrWJLqaZs96BguMd98qF8rc5uq3TIUjms156uPaZHV86vld88clvb+kIaDqHxFoHr8wgZ93nHzG+QfT1ogP3xoj4am61vrxOGwy1+3dmi4i/61Lxzuk56hiFbYolUAKj+t6lwUxSKgrPM6NcjEfH0+l162j361yC61rtJm9jA1K4edGpoGo3Ft4YAsE6FuMow+vGagiv8C4Zgc7hWt4kUfX1TnYrppmGyevq1WO4Jk1u/4iQpeVMRiWy2fU63B7KGugPQFIhp44zkIpre1DWjLh4PdAV0PVC5jvdfMq5WXjvZr6Gm2XDCreXGfw2bXbZTNabfrdrB65mYuk7Y8GCORHU+8iWrbeCIhPjcGjLPrv7PGmhsWaqcb784weiyMZ+SxMbjtaO0xZZMjIqpo+G51tB78RERUfEuv3VDqRSAiohJgaFtE6P36X3/brT1tG6oc8uFXr5B/PHmhhrQIV60ByVBhi+AVLQ8wQFjHIELHpIZZrz5mjpy8pF7+5/H92goBFbhH+kIajmKwqhcO9smcWo9ccJx56SKmMxgR2XR4QFxOm9T6XNqLFgOb6UBeHoeGrAgWtc8qKjVTfVkRxKJPLapsFzX6pbXOp/njjrZBbaeAB+M+IxVeOu1JDW4RiNrRnFXQUsBsRYCTPCs3Q79dr9MuD+/slEtueUSO9IakNxBNB5BWX1isD6p8UcmaSDWixe+pLgvpSlfAcqA/sKGBqyFbjw5ItdcpVS6HVib7PWjXYNfq43jCDJG7BqPDev/2Brv1uel2C1aPXATReQb1wvpZvWwznmauZ1bLhlHGBSsYJtFQ5dawPZ0O5xBEKwvHyP66GNzNCuXLNcc0j6ipw8CWiGjqHOkPl3oRiIiIiIgqEkPbIkJAi1ATbQGs6trMqlprQDKEt/g3Lt1HTInWA3NrvRrcoqXCzx/bp60RQtGkBqSO1MBTy+dUaRUv2iVg2giCFzdVSWu9T6eFEBa9btFCAdWkqMaMpUJHp02kyuuUYATTM1s44D6/26HB5L6ugBzqCUoE1Z4YAMyGkFa0DcHqebU62BiCYwTC6E+LkBXVthDLyuAQWkfjEQ1MUfWLoDTzMRr32m1S43Jq9SxC1nBUdOCx7MpSZLmo6EVbhXjEDKExTR2UbCCiAWVjlUta6rxyINWKwpoHoHpWWxygZ208qb138ST9Ybdpv+Ds5c+Ex6PGFoOmZbJZvXDtNvE5bdIbnprkECGsx+nQfZk5QFsuGKhM2zOkwudqj8MceC4j9C5HDFmJiMoX/lYSEREREdH0Y2hbRLic8E0nLhh2W2ZVLYJVVIIubvRr2BaLJ+XM5U3SPhjRQcsQOCIg7ByKaJCpV95rywFD3ILBw2walM6p8ei0F9R75f4tbRq64nL645fUyxN7urWHba3HKT2JqAa2qEBt8LvMqlLtvWpoZSmCS/SpRfuEzOpR3O73OMTvdsqJixrkpkvXy/1b2uWv2zpkT+eQ1PtdZtCaFZBqj1etbDW0lQOWCcEwzv9siZfbC1iPTRhJGQwldBkR2GYOOGbROWCZ9TmG9IXi6X6oVmcCrEMgGtDtqeuYNQ0dz8tutkRACwI8Bxd+ooftaIEtNFW7dFtFMdhZ9rIZovtjvIOCjQbHAfoZY28XEr1mbotBpLhERESTkOtvMRERERERFR9D22mWWVWLkBN9Xu/b2qFBLn5HKwSEqlZ17pN7erS3bWb+5nXZtIVAW39IFjb45XBfSCt4tS2o1SvWZpO1rbUamj66q1vm1DrF7bLrgGgY4AqtEvBvhIwIVFGBilYKgWjCnIQxvE9rSEtLbdqXd+PWdvnW/TukayiqA35hWdCaIJ6MpQbbMtI9bTEYWXOVR0NYDJiG0BYBtRU/6r8NEZ/LKTVeh/QEsHzmvflqe6zb9VE5ckxUByO91N60djOYzqQ9cpMibqdN4qkKVjwEVbIuhOejhK5aVZxjwaxAfSqZ1bLoMRzToJ6IiGi62fGHlIiIiIiIph1D2yLqC0bl5vt2aC/aVS3VcvXrjkkPQIZQdn6dV+7b2i77uwNaeYuw9khfWK46b1V6GnguepqGYmENGBHkVXlc4nLYpM7nkletmqMBMKaHWG9Zc1W6iheh6nVvWKOBLu5H4PrsgV55eGeXhrDRuKFhZSLVgyAaT2jvWVTNZvabBQSVuL2tPywbt3akqn/NKlW0RsB/CBgD0bgYSVTz2rQdwqqWGlk5t1oe39WlFb8ISDEom8NIalWotjXQecelL5SUWDKpy1BIXWlm/9Zcj7eC45xS4ax1v/nDkGq3Q/pR7ZtnmuGRBbYTYlYhm71mR3tM15DZViJXUExERFRs2v+eiIiIiIimHcsnigiB7V82t2lvVfzE71bLBASz6Mv6973dsrszIH/b0Sl7uoa0ujYTwl70JUUrACtExEBi6HEajMS11y0qdFvrvdI9FJGXDvfLIzs7deAwTCtzfuivu71tUCtp0RIhOwcMxZLicdi13y1opWrq31qNi8G8MCAWGMNTTfxAv10sF4LYcNwQr9Mhq+fXyPMHerWCt7UebSDMwcpQ7WvBfAIxQwbDZpAciKJ615w3BtKylicX9KdFhWy+QqB8mS3aIWA5M7cBxmfrC71c0lyM2lZbxmYbq02gBupoZ4FmuTxpJiKiEkBfe3wOobHddNNNOojsJz/5yfRt4XBYPvaxj0lTU5NUV1fLpZdeKu3t7cOed+DAAbn44ovF7/dLS0uLfPrTn5Z4fPi3xA8++KCcfPLJ4vF4ZOXKlfKzn/1s2taLiIiIiEqDoW0RoUrW7bDJgga//sTvmW576qDZd9QwNHjt6A/LOcfMSd+vg0glklqhivAOl/MjyESFK6ZZ63drW4OL18/TkBZtCzAwGObTVOXSad35/GH5zsad+hP9cxGY1npdUuN1pnNA6yeC1LUL6sXrdury4jEIRBGq4nePyyFz67xy9qpm8bvt2mIgmU43zZYLCGUtg5G43LWpTboCMQ2EB8PmgGgIfxHu5urDCqgoNlsr2Mxg1cgx6Jf1XPS3LWCQruznGzlCUKsdRPZjpyIvbfQ7ZWG9R2o9dnEhMS4QNif62uqAaROE4HumwnZjlRcRUeng7zCu2KHRPf300/Lf//3fcvzxxw+7/eqrr5Y//elP8tvf/lb+9re/yZEjR+Qtb3lL+v5EIqGBbTQalccee0x+/vOfayB7/fXXpx+zd+9efcxrXvMaef755zUUfv/73y/33HPPtK4jEREREU2vGRznlD9UyWKgq8O9Qf2J360wFiHq/p6gXqJvXfqOStWHdnSmn4+TpHu3dIjP7TB7zKKVgE2kAYHsqjmyYk61rJlfqy0XfvzwHjnSH9ZpBKMJ2Xp0UAcL+/Eje+WuTUf0JypxMRjYQBg9Um0avCIQS7dASBjy1L5uGQjHtYeqtj1IBaiROMLjuBzuDckLh/rE73ZoiKwHkM1srYB1sQb2QnsE/IfbbQamgUHDYuK0Yfi0/P1q08uSCm3H6m2bK2gdDSaJ6tzRcsDM+VkFxZPJDVEp7Pc4tVZ6KJoUbQ9caLicNPvoIlB3T/DVmhofbkbCMZX5RQAREU0vl9Pss0/5DQ0NyTvf+U750Y9+JA0NDenb+/v75Sc/+Yl885vflNe+9rVyyimnyK233qrh7BNPPKGPuffee2XLli3yy1/+Uk488UR5/etfL1/+8pfllltu0SAXfvCDH8iyZcvkG9/4hqxZs0auvPJKeetb3yo333xzydaZiIiIiIqPoW0RoYft69fNk8VNVfoTv1th7IZNbenA1AofMRhZ5onRvu6g3tZc7dW+puC02yUWT8o9Lx2VvV0B7YuL6bUPRFIVrGalKqZz35Z26RyIaOiKnx0DETl+Yb32np1X65FPXXCMLKz3ahVtndepKeFQJKHTQdCHgBG9bbFs+D0Sx3SHtHq2P5yQRr9b6nwOswrXaf5EJbA+P2FIMJrU56AKGOEvKnWbaz05WxnkqgZFdW52lS1Y22y8sAWtCmK0iiiUtX8mCtvwUG9YjvaF01XFhbDWE9seA7lFZ3D4OlEYvA7HMxERlQbGBs1u3UTDof0BKmHPP//8Ybc/88wzEovFht2+evVqWbx4sTz++OP6O36uX79e5s6dm37MhRdeKAMDA/LSSy+lH5M9bTzGmkYukUhEp5H5HxERERHNLByIrIjq/W654c3rht2GKtu7N2NgsKFhl30js8TwW+hNiypcBLaojEXgGY7HxW23idftEG1vmh49y9DKWzzW47JLJJHRj9UwpH0wLEkxtLIWrQp2dAxqW4Bj59XKvq6A3Pn8Ua2M9bkcMqfGoxW22axFtCpahyJIDpM6X7R0cNiwDHYdQAzVoF63TQIRzPVlCCo9Tpsc21Itc2q98kCgQ5LRhE7Dqh52IIxGv4UiwjKh1y6252h9cgtVyGBpmSowc500bjMiotJCWyVrEFUa6bbbbpNnn31W2yNka2trE7fbLfX19cNuR0CL+6zHZAa21v3WfaM9BkFsKBQSn883Yt433nij3HDDDVOwhkRERERUKqy0LSKrDYLVUxa/oyr2UF9I+oNxDUlRmVrvc2q7AfSpRYiJKlwMMHa4LywL6n1S7XaJ02nXQcVCKLe02TUQdjnscqAnJK11XnFkxIcIE3H/vFqfeJx2GQzHtSdqKJqQ3kBU4omkHOwJyta2Af09EDXbHuQKILOzzcx2BNpCIfWL9t5NJCWcoxwUj0HFLU78UIF74qI6HdhMWw/YRHwuuyQNhL6jz3sqofp1MlAZzKv2J8Ya3I6IiGYGfP6gkQ4ePCif+MQn5Fe/+pV4vV4pJ9ddd522Z7D+w7ISERER0czCStsistogoMXBS0fMy9JQFbu40S+tdT55/mCP9p9tqfXqCdE/n7FEDvQEpWswrD3k0AZhbWutDiiG/q5up10HE0PIeqjH7JPbF4zK4kafOJ1OsUs01U9WJBiNy5G+oETjSW2HsH5BvXQFItIfimmIG4glJJlKXBGzxnNUueIUzYGEzRCJZl2ijl81e9OfSXE7HWIYaKdg9rTNhtGU0SLhdWta5FWrmuXdP3lKg2kEn+iXa+V46DdrDSo2nlwVizme1gOThfXnVfsTM537iYiIJgdXylBuaH/Q0dEhJ5988rCBxR566CH53ve+pwOFoS9tX1/fsGrb9vZ2mTfPrF7Gz6eeemrYdHG/dZ/107ot8zG1tbU5q2zB4/Hof0REREQ0czG0LSKrJ+3SpioNKNEWAVBpi+B23YIGmVvjlr5gLF11ipYIB3tDWsk5GElooIng9XBfSCtrUaHaUu2RefU+rW6t87m0IhfBLFop4DaEnqjq7RiM6sBkCBd3dQ7qvBc1+KUnENFBx8bKztCKAe0aBkLmdBG6BjNGtbKej+mj76gGxnabRLJSOZRzV3kc0j4Ykb9u69CAOBCJ6fPsqZG+8EMHHtMQeOxly5Y5S5dNJDYFwSAWJ18wy+CRiIgqAf4W4jMFq21HOu+882TTpk3Dbrviiiu0b+1nP/tZWbRokbhcLtm4caNceumlev/27dvlwIEDcuaZZ+rv+PmVr3xFw9+Wlha97b777tNA9rjjjks/5q677ho2HzzGmgYRERERzU4MbYtoaZNfK2z3dQfkQHdAU1mEtclkUitlW+t9WoGKkBOh5r1bOrTJ66JGn1bEBqIJOdgblKFwXNsmhG0JbSUwr84rc2u92lN2ZUu1zguBr1bD2OxmEKpBKeJSh/QGY9IxEJaVc6qlJxiVzsGIVrRm5K85T9IQEs+v80lTVVJ6AuYIxvt7giOCTASYCas8NkevV9yDimKsA8LrJ/f2SHdqetqF1xCpdtu1t24saWhIjOdXuewaEhup5fE4bBIqoK/BZFsfpJebwSwREVU4/O3GlUNvOnFBqRel7NTU1Mi6dcPHLqiqqpKmpqb07e973/vkmmuukcbGRg1ir7rqKg1bzzjjDL3/ggsu0HD2Xe96l3zta1/T/rWf+9zndHAzq1L2wx/+sFbufuYzn5H3vve98te//lV+85vfyIYNG0qw1kREREQ0XRjaFpE1cMf+7qC2OrDbbbJiTrUc7UdP25j+ft+WNv25vrVOOociGrCiPQJ615qtDmx6wuR22jRE1Wpbm02D11Ut1do6AdUvj+7qlDueP6oVsQg4YzabHO3FQGQmPA+DkHUPRjQMRlg8WkUrAstwPClH+8JS5XVIjdc8VOq9DukJvTzgmcXqR4tlTRXPDps2etk6bAntrWsFwJkQXC9o8Eg8YWh1MHrgBlKpsj29PIWlqMxaiYiIpgb+fqM1E03MzTffLHa7XSttI5GIXHjhhfL9738/fb/D4ZA///nP8pGPfETDXIS+l19+uXzpS19KP2bZsmUa0F599dXy7W9/WxYuXCg//vGPdVpERERENHsxtJ0GCBHn1Hi0jQGqbtEOod7n0oAS1bIIRx/a2aWPRQVsIBXYgtVqAIElbnU7DEkahk6vbSAiD+3o1OoXl8Oht6PiFoFsdSpkRR/c5mqPtA9EZE9nQG9r8LukayiqJ2KjLrch0h1AkCzahgHTQBuEXKybbVbImuMxKMZF64dcU8CyoAp3TrVHarwuiQy9HOxa07LCYKu73iiFwtMCy1Hldkg4blYRs2UCERHNNhhfFFf/UGEefPDBYb9jgLJbbrlF/8tnyZIlI9ofZDv33HPlueeem7LlJCIiIqLyx9B2GgYiQ7Xsvq6AVpm6HT45c3mTtA2EZU/XkES1Vyz+Q2Br0+A1u1LVCilrPQ6p8blkIByTo30h7Q27YdNR7Z375N5uqfI4NTxEb1tU0y5u8ElfCJW7EZ0HqmHtYtM+uRjoDNPFv0cLGzHYmdthk+5AzAx5xxiPBJPKNzkE0pFYYkQVbmaoi0pjqx0C/svoujDm9KcblmMoOrLquBLl26dERDSz4YvYer+71ItBRERERFRxGNoWES4nRKsDVKh0DkVlbq1HA9K1rbU66Nbmw/0amurgWzbRgb7wU7ICW1RzYlAwBKhH+kIanqJaN2EY2nphf3dABzBDSwWEs5ikx2XXx6IyFv8lNRQW8XscEo0bsqjBJzvbBkcNbHEXpufzuaU/FDcrW/M8Pl91bSasH9bbYce/c0+q3u/USuHeQEwHYKOZgYEtEdHsVO1Ba6eqUi8GEREREVHFYWhbRAhSd3YM6ajLyaQhAbddXjzUKy8c7JHmGq9Uex3SOWiGnbZUcFvjcWoYG40nBEWcCFoRnAaiZgWuFY6idy361JrTRnVtIt1KAY9p9LulLxjVrrVG6jm4xDEaSojdlhDvkE1/HwuqfxG0Ijx2IFjOk84lC6i4RItaVBJjAOp8eSwqhZtrPDKv1ivPHewvZDMTERFRkTgdDu2fT0RERERE04uhbREd6g1JIBwX6wL6I/0R7TGLYDMcDcriZr+2TsCgWza7iMtul7ULaqXa6zZbKnQHZDAUk95gVPumgpV1onq2yo2hxBwyGImlA1vrMV1DEXE67No310gFwvgJmD/aHRQC88HzENxq39Yc3QDMYNn8N4Ld0cYLw2Im4vnv7x6K6nwQOE+Gy26GxERERDRx4ZiR7p9PRERERETTh6FtEb10pD8d2AKyzEa/y+yFGonrIGS1Xpf2tcUAXNU+l6ydX6sBLCp0T1ncIH63Qx7Y3iFH+9Fm4eW00+N0yDHzarVNAvrjZle4ohK3qdqtFbtW8JrIDE5zlMzmanGAitjOQTNsjuRp32pVzaIHLdovICjG/DE4Gf4bz6XzCHwR3E62UywDWyIiosmLJRLaiomIiIiIiKYXcjoqEmvcLlSiWqGmOZCXTcPb5c3Vsnp+rdT7XRqs9gdjsq19SA73hWROjUfaBiISjCbE7XRoSIvqUVSyLqz3Sr3PpYObNVa55aRF9ea0MyAsRXFujdclHqd9xP25JEdZD+29O9bzDayjXebWeqXB79ZK34ng0F5ERETlAVfSLGnyl3oxiIiIiIgqDitti2j1vBp5cm+PnvAgNF3W5Jdj59Vqbvua1S1ajfqrJw9IXyguwUhc5tZ5ZNvRAXE4bHLCwgZtkYARm999xhJ5YFuHhrlxw5ChUFyO9Iel2mOXbW2DcsFxc2V+nVcO94V1vqhsRWVtMJaQeCKhA5SZYXFuo/WqzQxkC4FB1wbCMZ2mLsd4NhgRERGVFfw9v2DtvFIvBhERERFRxWFoW0TnHtssz+7vkVjC7LH6tlcslA+9elX6/o/+8hltBYATImSqA8GY9rfF/54/2CcttR4NZNFH7lWrmuVTv3lBth4dkEAkLj6XQ1bMqZGj/SHZ0xWQY+bVSPtAON0WIJkKUNPG6DM7VazAeKyQd7QBy4iIiKg84KoZL0YQJSIiIiKiacX2CEW04cU2SRg2cTps+hO/ZzMkKYmkIdGEIQPhhAaZaIVgtxmysN6n1S3hWELec+tT8viebhkMx/SxqKJFYIt/r2qplkgsOaXh62QU0ImBgS0REdFMYONfbCIiIiKiUmBoW0Rt/WHtVYtgFT/xe6bz1rSI22GXWMLQvrdooYD/koYhyaTIOcc0y70vtckn/vc52dk+pNWraLWgp0+GIX63U163pkWuOGup7GgfKLiFQbF3Pk/viIiIZod6n7vUi0BEREREVJEY2hZ5xOVM6PV65/OHtXIWLj6+Vda01kmtz6kDiqGHbTKVvLqdNtl0qF82bGqTFw/3patoreHAcKni4qYqvWzxk7c9L91DGa0QUtB2AYOQufNc1Tj20GJERERUyWystCUiIiIiKgn2tC0itD3IhH61P354jw5AdukpizR4nVfrlWdRiZtIaEWu12mXZU1VEokn5fE9PZIwktIbiI7oAVvtdcruzkHZ0zkoA6HYiOpWPH5Zsxnq7mwfnJb1JSIiotllKDz8C2giIiIiIpoerLQtIp97eCaO1gedQxHZuLUjfVtVqgw2FDdbJKCNwoHekAyG49IxEJZDPSGJJzA0mRnE2lPTCceS0j4Qkc7BiIRiZi/cTDabSL3fJYZhTGmvW1TvEhERUWWIjrf3EhERERERTQmGtkX0mtUt4nO9vImrPU4RwzZsoK7+UFz6QzGJJ5JoUysOu03bJKxfWCsa1dpEarwuwWQcdgTBdm15gHYKCFAD0cSIil7ATUf6QnKwJzDivsnkruUy2BkREREVnwvfFBMRERER0bRje4Qiuvb1a8TjdMgju7qkNxARt9Oh7Q5QAYu+tm39Ifnj84e0LQLgtAjBLMLYnR1D5qBjSZH+cEwD3VqvU5Y0V0nHQEQcNpsGsziXwoBk0XhsRI/agWBUgrHhKSvC33q/W3qDUYmzqS0RERGNwmEz9DMLWjoREREREdH0YaVtESEcveHN62TDx8+WN56wQCttFzX4pX0wIhtePCLv+NETEoi+nJwiXkXFbSSWlIM9QbFLUnCOhMAW9yUNQ9r6QjIUjsrhvqBE4gkNXgcjcQ1vMyH8Decoi40l0aJhegJbt8OmLR+IiIhoZgpEknLvS22lXgwiIiIioorDStsievFgj7z7p0/LQDiu6Xidz6xSQV5670vtGt5mw32xpCE2m02CcUNbJWjwqRW1Dq12CceNdK9aZLXJpCF+t13/PRRJasDrtNu0F66V5Zaiq4FVQUxEREQzEy7Y2d8dLPViEBERERFVHIa2RYTAti8UT4ex3cGEBGIhcQ9GxEga4rSJZI/JjJYH0bh5KwLXRMIQOwYoS4i0D0bTj7MKWK1YFNW5yEjxO6puPQ67eB2G9EfYA4GIiIgmbkmTv9SLQERERERUcXjxehGhwjZbldsh1R6HzK3zSrV3eGZuSwWuaGGA9gUIYG0IbHPkrpk3IaxFl4V0aCsiXpedla5EREQ0aeccM6fUi0BEREREVHEY2hZRriE73E67NFZ5ZE61R5x2u+4Aq4UBKm/dDrQ2MP/DfaiYHS/U6SKwRRsFIiIioonCZ5T7t7SXejGIiIiIiCoOQ9simlvnGbGxEdbWeJ3y2O5uiaMXgu3lFgfmT5sOPGb9Hkvkbm9ghbq5OFLtERjZEhER0WTgs8QD2zpKvRhERERERBWHPW2LCJlsJhe2ts0mezoDOsBYKJrQgBZVLHgoCmMTGGQs1fIg1zQsXqdNInFDkjkyXbRX6Bp6uf8tERER0UTxS2AiIiIiounHStsi6g1Ehv0eiYsc6Q1KJJ4Ul9MuyVRJLQYas1ok2Gwv/xu0r22OaYdiuQNbS/YAZ0RERETjhV77561pKfViEBERERFVHFbaFlGOccgknjDSgWq1xynxZGzYQGPZlbX5Km05xhgREREVW0uNW85bM7fUi0FEREREVHFYaVtEuXLVxmq3NFW5ZW6NV46dVyNep108TpvuiAavXQcjIyIiIiq1KrdNjplbJw/t6Cz1ohARERERVRxW2hYRgtjsDgYdgxGttvW7HXI41SrBYbeL3W5IUuxisyWnvHkcLm3MV7FLRERElMvixiqp9Tllf3ew1ItCRERERFRxGNoWkSNHWBpLJDW03dcVkHA8qffHUs1pA9H4qH1qx8ttNwcl4wgiRERENF47O4bE5XTIBcexPQIR0VRbeu2GUi8CERGVOYa2RZSruhW3YbCxeNIMbDNl9radCtHU9JjZEhER0Xjhc8n8Oq9csHZeqReFiIiIiKjisKdtEVkDjmVy2G1it9kkketOIiIiojLS4HeJ1+Uo9WIQEREREVUchrbTbEG9T85Y3iROnv8QERFRmdt8uL/Ui0BEREREVJEY2k6zGo9TXn1Mc6kXg4iIiGhMXYORUi8CEREREVFFYmg7zTAA2S0P7DIHCCMiIiIqY04nPyoSEREREZUCByKbZkPRhCSThjjsIobBQcKIiIiofFW5+FGRiIiIiKgU+Em8iFCbkl1QG0+aMW2SlbZERERU5toHgqVeBCIiIiKiisRr3oqIVbREREQ0kwXZz4mIiIiIqCQY2hYRQ1siIiKayTxOR6kXgYiIiIioIjG0JSIiIqI8DAnHEqVeCCIiIiKiisPQloiIiIhyCkaScu9LbaVeDCIiIiKiisPQloiIiIhy8rjssr+bg5EREREREU03hrZERERENIJNRBY2+mRJk7/Ui0JEREREVHEY2hIRERHRCHabSFOVRy5YO6/Ui0JEREREVHEY2hIRERHRCDabSPdQVLwuR6kXhYiIiIio4jhLvQBEREREVH4SSRG/m4EtEVGhll67odSLQEREswgrbYmIiIgoZ0/bfzptUakXg4iIiIioIjG0JSIiIqIRls+pkktOWljqxSAiIiIiqkgMbYmIiIhohKP9IWnrD5V6MYiIiIiIKhJDWyIiIiIaIRBNyod/+UypF4OIiIiIqCIxtCUiIiKinI70sdKWiIiIiKgUGNoSERERUU5VbkepF4GIiIiIqCIxtCUiIiKinI6dW1PqRSAiIiIiqkgMbYmIiIgoN5ut1EtARERERFSRGNoSERERUU7b2gZLvQhERERERBWJoS0RERER5RSIxEu9CEREREREFYmhLRERERHltKDBV+pFICIiIiKqSAxtiYiIiCinr126vtSLQERERERUkRjaEhEREVFOv3ryQKkXgYiIiIioIjG0JSIiIqKcHtjWUepFICIiIiKqSAxtiYiIiCingTAHIiMiIiIiKgWGtkRERESUm63UC0BEREREVJkY2hIRERFRTm6HTcKxRKkXg4iIiIio4jC0JSIiIqKcarxuufeltlIvBhERERFRxWFoS0REREQj2G0ia1vrZH93sNSLQkRERERUcRjaEhEREVUA5zj70zrtNmkbCMuSJn+xFomIiIiIiPJgaEtERERUARqr3Fo9WwiP0yYLGnyysN4nF6ydV+xFIyIiIiKiLAxtiYiIiGY5t0MkEk9K0hj7sch1k0mRRNKQ89a0iNflmI5FJCIiIiKiDM7MX4iIiIho9kAA2+B3it1uk8FQvKDnINeNJw3pC0QlGk8WfRmJiIiIiGgkVtoSERFRxaikDz5uu8ilJy+QNfPrpGsoJpFEAWW2GWEvgttHdnYVdRmJiIiIiCg3VtoSERFRxSh23SjCzsKj0cJC5okss99tl4Yql2xrG5TDfaFxL7fDLmKz2aZ0XYiIiIiIqHCVVHBSVqM3e8c7hDMREdEsYyvyBxRbajo+l73gAbgmy+Ocunk5bCJO/N8EoHdtW19EdncOFfR4zMVlR+9bm24zBLZNVS7taUtERERERNOPoe00czvt4nLYxWHnpicioplrglmihoO4bL/Om39wK4SHDVVu8eMfk4DwFNWm8UTuAbgmmq3me57fZZPjF9ZN2Rez6GaAFgW2Cay33+UQlxOfN2xS73fn/cCHx3ocNn1sg98trfU+aa5xy3Hza+Xj5x0jFx/fOgVrQkRERERE48X2CNPMSCYlYROJxUq9JEREVIl8TpsGgbEJ9glAyIcvIOu8TmkfjE5oGshPByOJvJfe+9xOWT2vWvxup2xtG9TQtT8U00GxcrVlzdVCwGkXqfI4NbTMB5lw3DCrUgsNqTG5XGNzIYJGyByOJWRunU/2dwcLmq61dPkeivWIJQqbTp3PKdUep3QORSWWSOqVPYYhcqQvOKz/AVofYD0SCbMKGXeeuKhe/vGkBXK0PyxLmvxywdp54nXlD9aJiIiIiKi4GNpOM4zeHE8YBZ3IERERTaU6n0sWNfrE73bIs/t6NbDM5HLYJDbKYFUI+hqrXDIQSkhvcGKBrRV+4u9grv6vqMLFfBAenrm8SS5aN082bu2QAz1B6RgMScfgyG89MQ0ElMnUdDEPh80mS5uqJBJPaOCb/Ye32m2XObVeOdoXlHA8//JagbANrQpSV8nEk8NTW8xvcZNfA9toIilzqj1ytC+kAbPbbtPgNG4kNXzNXAq7FcqOEqBjsfHZIZFRcYtpuBAe4z6b+d+cGo8cO69Wr+b5+75uicYNMQxDIomkJJIvzxfL6ktV4FZVO2Vhg1+OmVsja1tr5Uh/WJYysCUiIiIiKgsMbaedTRLG+C91JCKi2WWiA1ZZz5vIAFUI7FbMqZZgNC5OVNzGjGH3VbkdOv3+cDznl4sI9M4/bq5sOzoozx3olXgiUfAyYPoIMfFfrupShK6N1W4Jx5JayYuq2sf39IjTYZe+UEw8Lru01HqlczA2YrshUHVr31qEzkmp97skEktKKJoQr8uufWaj8ZcrezGv1gafeF1OiVV7pHsoKqHsBDsF62fWotp0GTCRSKrUFtNBoIqwu9Hv1tu1gtUwxO10aF9Yn8shbqdNQ9KuwYgMpSqMtd+u3bw9lhUCZ0Lg6nIYuhyZS1iHdYwjCE7K/HqfLGn0y4J6n2w+3K+VwJgucnVM2lymlwNefApZObdGGvweedMJ83V6Gza16bZ66ciA/v6mExcUuGeJiIiIiKgYGNpOM1ziqSdqqROo6YCTTcyKxb1EVC5QTYmgLZKYmiCzWO+dbodIuIBL08fD47TJvFqvBCJx6QrERqy/12VWu2Zfgo/Q0+W0SY3HJUORuFZ0euxmuGmFgLaMkBFFodY0rO2KSlCd72BEDA32zDsQLjZXu+XkxQ1y5opG+dFDe+Rgb3jEvkC4eezcGrnmdcfKjXdtld/+/ZCEYiPbHFgB7bB1w/LbzJ8+F9oWiPQF4+btdiy3TZJJQ7cPKlo9LockDUMe3dWlFcIHe0Nitxniddq1ejQzVMa/nZiQzSYep0Pm1fq0MnVxo18H0npqb4/8ZXObBrdYV1Sj+l1Oaa726LbxOJ1ytD+kz08kk1qlinWwclynw5z+UBjLa9NlxkojXF7aXCUnLaqXeXU+mV/n1fvQGmHNvFrpHIpIe39YK3NdTod0DES0slarjLV1gaHLiX2F9cK/se9RmSupUBfbBPsRwXA0Y6PiNvxa43XJ3FqvDIbj0jUUkcFIXKeLXe/E1T3Jl6/uwWcP9NRHG4VXrZwj+7oDuqy4G4EtKpOt24iIiIiIqLQY2k6z5hqPVv7gpDAUTQ6rUPI4RNYvqJdNh/slMkaiW2iwUeW2y/w6n/azC2ZUVBHR7FdOAWj2YE2ohOzRwNJcQitwtC77RqAVnWDP1amAZan1pf5ExpISztHEFIM3IVTMvrQ9XwUseocmk0mtZh0IxzW09NhFIsmXnze31iXVXrf0DkWlO2gGuh6neak/qiNjqfRNK2KjCNocZoWsx6nLEsTfl0RS6vxurS6NxBIaqqLq1JZ6HKoxMb29XUNa1RoXQ9sl/MsFx8pbT12kwe62o0Pyh+cOSTBr5VCBe/0dL8kdzx+RL715rezqGJQn9vSMCGhz9521SY3XIQsbq7T1wcIGrxzuDctgOKbVotj7/aG4zKlx63rVep1yqDckTodNe6xagWRTjVuD6o6MfrrYXwhiUXHqstv0cWetbJbr3rBGp4XBtF6xtFF++cR+DWdbG/zSVOXREBfL4nYgiLVJS61Har0ueelIvwan2LbmJjcrePFvBKJ4fI3XqVXLbzt1UTqoxd/vWp9LVrVUp1sMfGfjTtndOSQL633SF4hK+2BYxMD8DK309bls0jYQ0X2B6cyr82gQewDBKXrgxw1dN0wLy4AQFotU7XXq/g1E43KoJ6iBrrmMZkiLthD2jHYU2CdVLofU+FxSX+XWcBbzxLYFVNhm30ZERERERKXD0LaIqlw2CWQFpRiV2RwcxKaVQns6hyQSN/QSS5yo40Qe1UViS+jt+aB6xjp5z0cLqAybnvRao08b01A9V8qghajSYdR6VOshoLGq9TJN1fvAaBX8Ou4TBnfKcZ8Vgh3tjw57rpHxXI3vClhI7S6aDtUmzpb6gguXtEes92ytSMSl63Z9r3UlzcrGkZflj9yiCGPxnh5NvLydtOdpo18Odgc1mESFplZs4tJ6XNqvyRqCPLu0DYS12hLzx3t9Q5VLv+xDcIf3cvRFb6pxaUiHatvGao+csaxRdnQMSedgWKtBEeo6HQ4599gW6RyMyP6egFZRotUAqkuPX1gnh/uC0hOI6vHyuuPmyT+c0KrLf+9LbRosIuANxkb2rUUY+Mz+Xrn10X3ylpMXyt/390oiz9+rdBDvMCt5EWi+amWzPLG3Wyti0a/2jucPm6Gtlp6KhGJJWdnik7b+kAaQuAvzw35e2VKl6482CIGwWW2MfYRt7nM7ZEVLdbpaFOtp9WXFTwTS6NmKANV6zFA4JosafLo/XI6wThd/p7sDUb0yBiGuOZBXSOeLalasD/6NeWO6f93WIYd6gxouH+oNa8/grUcH5ck9Pdr3V5+LQUiThi7fK1c0SV/QbPGAKmCErj98aK/0BaNaWXv2qjnyyfOPkf96cLfs7BjSYwD7dX9PSENaHBcI5OfWeKQ3GNPwFpW22IaxeFL3P9YHxy161y6fUyWnLW2Uvx/o1W1+6ckLdJ0yBxyzIHjOvo2IiIiICJZeu6Hgx+676eKiLkulYGhbRB95zQr51n270pdXNvhcsr87IOta6+Rrbz1eL9f89ZMHpH0grAOI4IRuT1dAK4hwaWhEzCqZWh+qawztXYfKLvwbvftafE7xOh1ysBcVNiPDU5/HqeFAJkwPJ3h+t126hmIaAEwla13tqUstEb5gfTjw2uyGwEQL5aZQlQsBVVKrGEt9/CB4yrxUOh8c97i0G5dWyxS1QEGIicDLZhh6eTWCpHy9N7Gc9X6P9itFtSQyMB1UyjAvuUdIiFDH+mIlM27Mjh41eE1ddp5rPpi2dV/2c63b/U6bhOPmZdqZx0q+r5DMS7fN0FkHX8q41F9SwarTadf3NQ11dbCply/Fz1xWzKG52iWBSEKrRTOrX3Epvgamqduwff1u88+hzRaXMDaQITIQikuNzylNVeizisGsohLJeEut9jjF73HK4d5QjoDaJi67oSHlQMgM6BAEIhhG4IYv5zBNBGuo7MRAUId7g/pY3Gazwl87BsxyakuDcDSu7+t+l0MGg3Ez4E6KhKJxee5gr9T73fKm41vT4dw/vWKRhm8IYdGvFP1YrSpK3I4QODOkswLOfd1BDWyXNVfp8YPjSS/Zt9ZMq34N2d42KE3VHm11EI0P7zNrbW+rbUOd1yWNVW6x2+1yqC8kzdVeuXj9PJ3v3q6APL67Wx+MfYGQ8khfWENQ/C10OUX6AnENuBv8bvG5zQrXKo9Dnt7XpzPAdJc0Ven6jVYtip68mRWlx86r0SpX/L2q8rhkQb1Xw97Xr5uX3ib/9/eD8p2NO+RwXzi9n3H84zjFl6LoV4uBzqrcTg3fsV17gxHZfKhPbDjeDZs+Bm0O3nRC64hBvlCJe+Kien1tY7lw3OH+U5Y06PZtrfPK3/f3aGsKhLHYPmhRcerSRg16sVzYFlgfvDAwf6snMD5b4GhqG4ykt3m+XrXsYUtEREREVF4Y2hbRvFq/HLegTo70BvWSVZyA4mQdJ6MIbHGChJOqXzyxXwbCMR20pMbj0IqqcNxMYXFehwAIJ8mLGv06EMrCBp+e4K1sMQeT+eUTB2RH+4AGt+kBzmw2DQSyacWX3SY+t0ta6xD4hkatukM/R5wAelIniqgOsgYzwUlhMGr2UsTpJ+ZmhSY4sdUBWVKVYjrqNUKvWVCFm2sAnWxzq93SpQGNzBiogsN+7RqM6rFqVWuO1acStyGoCKMv4xT2al7U5Jd3nLZYHt3dIy8c7JWOwciY4W1mT8+pZqT6cabXL6uSFPPFZc3HL6iX5w726eusJxjVS9VhtNHhR3v9IYxCSIfL1xc2+jVQwqXQe7qGZCCr2Wq1xyFDkZgGs5g/lilqmGEbgi4EhbF4QoNB9JK1ikTxEz1D8X6C/Y7XPH7iNY5Bk7JhP+MYqXI69PJyvMZ1QKSsdUxqCGsGixa8LTnsuTcGqhzdDrsYDnOZsb9xfLXUeOWcY+bodt3TMWQOpKT9QM0AsaXGo6Hr3u6ALjeWB8/Fepyxol4rHdsHIqltYmjLGFzajqpLa/0RwOJKhwH0A7WCeodNKyqxXRF+9R+OidthaPgVjsV1IKd/PKlVvnrXtnQFJt4Lsd0QwKFHq34J57BrawS8xgz0S00dyFhfVEsiEEVgi8pZfKmGy/5RYWruU6ectqxJHt7VqVWxmB5mhB6oPrtDBhNx7W+LsHMwdTxkh3NW1SQC2tZ6r07jhw/t0QDzA+csTweI+JuBgHfb0QENVq11WTanTqs493UOSQDv+WgJEU/1c23yy4IGr1bfIjS0toHXbddjAoH0ugV1+t+KOVU5KzwRkOILza6hqG5nDXn9TplT7ZG2/m7pDSbMUD5u6MBky5ur5ILj5sr8Oo8c7EHrn6T4XXa5aN1cqfO5h60nAlEsoxWUZm4LLAOOq4d2dI4Ir61tgQAbPWnRUsCJ/YLXlh7/aPYgWgU9p9orLxzs09cPdg+2Ff5WIrDF+uv7g01kzfzanMEolu/+LahujmglbW8gKlf++lmdBr64cqfaPpy5sjldIbxyTrVcdd4qDW1vvm+HVuSiJcOa+TXywPYuDaGxP153XMuIcJ6IiIiIiGYGhrZFhEAAlUqtdT55ZFenngSi6gono7s6huTO5w/LfVvbpS8QES/SGcOQU5Y26glkT8AMNXACjEtFUaWDE3wMHoKTeJww6jz6wnq5JQY76UQo4bDpCTVGq8alohj0JDMewbl5ECNXG1E90V7hrJJdnYFhy20NlFbndchnXr9GwxBUaSEUONATNCuoDEMWNPjlqb3d0huIaWBrwWXByCQ0cEE9lmH2/sMJNHr5jpa7FaOFA5bHCoytadehFyBCBgTiGZcvYx1x22iwXRJi08q3XCEitl2tzy02O06aE3oCj9uCMbNy2gq90a+xLzRyGlYALgVuJx3Ax7AG8jEvyR6vWo9DL5fuGYpq+IRwC8cRTvqtkBLLjC8OsD6oDsfNCBNQPaehvMRFbIZWKSZT65E52vl4RrrHY9HvFKEQwie8NrTSLGvQpszHG1ZrAMOsLp3McWRVOZr/RsxnVjwi9MR+x60YEMkKKfGlBn7Ha+WYeTW6r1GBV+NxavCC165Nch/7CGOx3PhyZihr5+kXManBC3WEeVz+nDDkn89YIr94fJ9sOTKg21SrUm1m6Gb922aYxxrmiVXBfsUXQhhxHv0y3XGzTyumiwpArZ00C4T1tRAzMBATRr43K/bEOnZT80OYiTwKoRQuJ0cwitAtXYmIxyXNHqpaGWuFvXYMpIWwNymDqZJf69hAFSq+6MHxFI9j4Ca7vtdg8C1Mv2MgrPuh3ueUQX0fE1k9v1bbDiDIQyXi/dvaxS6GOBx2HQgKy4aqRHxxhkpUBIcIrrCtMsMuhGUbt3Wk+39i4Cm8dyOcxfpi0Ca8PvDlgRlaO2T1vBq5aN18uWtTm16+jwDb7CVqhoiojG6s8mirAoRuqKbd0T4oR/tCWqGL+V5x1lJtM2AtB94z/7qjU/qDMZ0OQsjuoYisba3T1yQCO1xh0RWI6BcsOCYQXM+p8errEZWp82o96b8xVghphYW4De/nCPVQcQrWfVZFLt4HsXHn1vvl+EX1GujjS8LNh/vlvi3tGiRiPusX1On0sQwbt3boPsJl/Ng32G/Y9h9/7SptS5APlufBHV2yfmG9/n1B31cEt6gexd85vLbwNxD7A68ifCGBLwwwXwTPJy1pTAeZGNTsXWcuG3U9M7eFxapGRkCLn5nVyXg+1rve55JzVjXrF644TqvcqET262t2T9egHqPHzjWPN2wvVN4+c6BX9x2+YZhT68nbJxbzu3tzm/4dtyppnzvQq8cY9iVu14C/zjeiihifF1ApjG2Gn3gfx3tmrgpqS2YgnRloExERERFReWFoW0TWZZg4AUawhVAAg+80+D16QocTQlQXofLsuOYavXQVwQLC0HgioAOpWG3+cDKO5x9GD7+4oaHZnaGYniBqb0RcAKmXyppVuQsafHrydufzR9LVTwj1EBwgDMBJL/oAvvvMRfLrpw7IbgS3qdGmzRN/m7hcTj0xz6xMQnWTVZmEk0z00UP/PAycZgWJCHawzlqdm0q+cMKLk3gEWfkqMa1QLBQxL+vGczFoD4IjnCSPVqmIeevlp6kwyRyV21weDbUynquVe7VevdRZQnFxIGiMG3p5KS433dk+pBVTDqt6MJE0B4jB5dkep5y/dq6GJjjpRYVb9kA9mO/+7iFd/tOXN+q+RnCHQAlhFCqzzEDGEI/DLqGs8mNU0LnttmGXwFvtJhBeIDCy+n4inEeYgyBIK/oQTicSOg0Ng9MjkJuVkc1VHg2hugLD22bMq/fKJScu0OPghFRI85fNRzXow3R6AxENJN+wfr7s6wrIrs6hdMUxtjUuS8Yl4ti/YZsZWCFEwnLjmMY2QIyaq0+zVYk97PJ6ER106Fv375RPX3is3PDmtfLdjbvkd88ekPDwRTeXwW4O1IQvRfCawOsN/SQRzKOCXVsFpB47WiaP707m1/n1Swbsf1y2jeMCr6t5tV4dSBD9O1FFuay5Wo8PhEs41nEbelzu7wnqa/LsVc0a1m0+MqCXkXcHImJgtPeMfYr5LGn2a+UnQlZ8uYPjKTPI191oiAZ+uFwa4Rlek+ijiS9lsP1ROYvXCCo1dT0NM0jGb04HKvXMClwcaqja7YkldUAoT9zskYp9gG1nk6gGbhZ88XPmwiZ9v0FIiEpPcyAkc5kwmOIJy+v1mHlsV5fG0j1DMX1BopULjgF8kTSUei+r9aDa1yZza306OFaiL5SuCsYxgH3XUOXWYynmMMNIbFccV1hXzBOvxAafWxyOhM4DgS2CbGyXj75mnr7mrMAKy3rvlo501SG2X2ZAmRl2YaNhWtZ+j6deq5G4Q/cVwrKlzVX6xQXuQ8B69euO0fdCHGMI61EtiwG/sN3WttZqyIt2Bnjs4b6QTgP79r2vWjYsOLzhzevS/0bYeHggKl1DYTnYE5IGv0uO9If0hYYvAZc0Vcvr1rToF34vHurT9zYc3zgWW+v9GvJhffpCMdnePqTTzJwXgjpsDyvoxLbKdR+2g1XNmQl9Va3tidYCCPsuPWWR/ofl2PDiEQ1wcRy+ZnVLuk9uLng8/o7g/XJpU7VufwTsqP7F/sGyoTXFXzYd1SpovIdh3gvqfDrf7FYHVpCZPV38Pcpcz8z5Yz54LHrS4m8vKl43vHhUj3l8+bK8uVpfG3gPw99PzGNRg18uXDdP/4b86KE9+h6HL1/Qn/afTluSnnb2tsiscs0OTvFcvI/jdhxPRjCmbS8Gwnb94hPvP2/ICmNz7U98kZu9z7JlBtLZwT0REU2uhyMREdFUYmhbRJlh57nHzNFwBSdUOOFCFRROqnGi9UKoT/Z1D+nJuCN1Yo6TKYSHONlDmOHzOHSU6eZqh96G5yLERZiBcAgVaKhyM6+oNXQAF7Myx6thB04oAcEeAseWOlw6mtBg67Wr50qVu1v6QlFdVgQSCJPQRw+XseaqTMLvOFlEJRzCye1HB80enklUIDlk3YJaOdIf0UuxEcQirMYlpL2hmPbry4T1QY9dVKzt7hjSQFBHZI+bl2cjlDBSl95bI4TjknNES9rP0o5+gdooU+KGoVW0CIYxwAx+okIrmpolgmvcdqQvKAsb/OK0GTIQSUq11wy6cTKO7YMTeExXewW6HWL4RE5YWK/rilAZFXgImIKxuF4m3DYQ1BNrc9AcMzRGgLa3M6gj0Fd7XRpGYTRwh82eDrYXNPk10BseJJqDEVW7zfXH5cgIbhACPbyzSwMqVCPaUvNCUITQbf2SBg1xn9jTrZVweAzifARIJy6sl/OPm6v/obrwtqcPmu0rUF2MPpE+94h9jJDiL5vbtPVBQ5XZ4/EzF63WUOnHj+zVym4kjbiEGWE+9gumi5HZURGH48vlcsjVr1ulg/IgZAxEYrpd0GcUEByaYaHo5eu4z6JhcTAqP39sn7x4qF/bTaDnZDwZS+1r83iYU+3W7YlesugXjUGcEJA1YtAjr0sr0VG1hkuOEWwmomYAjyDbCvZ1wCmtJK6S3374TA3i8BpFGxJUZ1p9I9GnEr1CEWY113jlNcc267qhShJfXmB7oooSlXH4/R2nL5aPn3+MfP+BXfLbZ8xtjn2GilesH5ZnX1dQWyrg+MC229pmtjqxIDDE/sUXH9dccGz69teubtFL2LGd59R6NVg/2o9g09DXBtYLy7/16IBWuOP9ABWueI1g++M1gaALr08cI6jgx38I5fBycjgcGsYiqEfAY3fYtPoZQSpeR9jfOLbXtdZqaKwDIrmd4qi2abiFy+ERNuILClQn4zXbVOORMNYd1d1el/S6Y2Jzm9sB++47bz9JfvH4fvnb9g59j0NIjGXUNgVJtClw6msLIfdbTlow7D01u6IUcGl8dkBphWk/+NtuXa61rfX6hRkCdexTPB7H5IJ6n7aimF/nzTkfi9n/FSHtHJ0HKoRxbHYNhuVwvzkoFY4da3pjXaJu3YfXEgbIOmNFky43vjjAcWc9X9/z0DcXV0B0B9JBYubfluxQFuuOys9Nh/o18AUcV7h9tBA0e9nw5Q5eEzi2UGFsVeLifivALQTCQ7zX4r0G7QVQjYr3ksz9iGVDcH//1g59zTZVeTQAzVye7CAz33Rzzd/88nRIH4tjW69aGYroawS/D4bi0lTjlrNWNuv+w3SsY+Cjv3xGv3RF31n8XXt4R1c6tM0OszEvqyUFvvjE+/Aju7r0b+OLfo9ctHauzuPRXd2p1yuuEkHLi7g0+l363p2vtcJo+yyX0YJ7IiIiIiIqHwxtiyhX2GlB8IUqKAQfCL2sE26Eqvdt7Uj3lVzY4NXK0cz7ETYgsLXCUJxIvvrYFq1MRCUjQjZU/CG4Q+DyxO5unZY54EpYT7TNCj1DBzFDWISKNAQYOElFFID5IBwc7QTQOllEGIETeIRZGBUb1WdY9xvv2qonoGgHgeri89e0aE/H3/79oFbmOlIVklj+f7ngWK3IuuWBXdIfNitTPU60NECVq3kZtF7+7rJrz8d5dajifDkkReiCk2YEqajGQlC0rW1Qgw5zQJa4rpeO9I4AWC+/j2r16EI/wooq7Sf46K4uvdwaKQ2qiI9fWK/9DBE+IbDF5btYGAyGhHkjSK/x2iQQdWvAgp6auH/FnBrZ3TmoYRTCYQSoSxr9Ok8sG3pwovoQPU9RvYt1w+/4B3oWdwyGNfg5do5ZzWlP9SRFwIJ+mNiOCGgRPiIQtqr+Xt7uXTpvBIcIow30CnXaNYC87g1rtJIQYYt1KS7WObvy6yPnrtD9bF22jekDAgscHw9s60iPfn7x8a3pIOvOF45quNkftMlZK5vkkpMWyj+dhkF1DqfvQ0uNzN7Mpy1rlE/95gV5em93epAs7YuJHtD9YQnt7tbjF+uCMEUH5kJ4mKoYR7U0jiOtmhxE1aQZCp6wsE7m1fnkzOWNGlShFYg5CJRdg+DBcEzbOeAYwj5HQJfrdWttm8wgDV+YdA5G01WSX7hjs9y16WhqEDBzBPc7Xzii92Ed8TrvTF0qjS8hMNgUXjMIaDoHzX6rRwci2sM2c1Q3HLIILbE/8b5h7R+EONh/VmD1pxeOyEDIvHQbr11UAmPAQ2sE+mVNVbJ+Ya388bkjGuBiH2JgLGxjbCu8Z+B1APg3Ku6tgAoQBla5ndrvFPfjyw2EnIFoQkNyfLGA4Oui9S16jIFVLYn+olYvU7z/6Osh9d6C9zFrwCwrOHyxyq33IbTHexyOc1Ra4jWCNgh4fOY+yne5d65AC4/DFwFoc4CqWBxzi5ur5N1nLBm2PbPD2ezgLd88UAWL6eix0uiTM5Y1pQbe8oxZAZn9dwOBIo4z7M/sAaSyr4Cwlsf625IrxMPyY1+hrh1/A/A+hPc0vGcgeMQgXFj+7J6z2cuGgbke2N6hwTR6HqPlRK6q3rFgfy1uqtL3bSwvWiMg0Mw8zrEMn3/jWjlpcUP6PQevCStozjW/XNPNFZTrF48OvDc6ZCAUkp7AoL4fVnsd+mUd3pvx92Rxg1+P6ZwtBFAin/ppFFjZivdevEfj73hfKi/FNsc8rPeZ+iq3XhlxsDcgK5qr81Ys5wqux2p/MJGgl4iIiIiIph9D2xLJd8JtXhpp14CkvzU2rAejdf+mw/3DwlDrhKs5IxTSk027TasuUXX1qpXN6SDlmtuf10GMENAgiERghLNghMO4dFovN04m9edYFWFWeIcquezwzjoBzTyZxIkn+gOimhbVvKhOPWVxfbrnIcJBBEo4YUaYE4ygfYFdB2ZDpR5OrhFgn3tsiwYg1slprkFlMOjLgzs6NCBEkA3aasJp196A1mWoqHA2Q9+YhqIYlRwBGrYPtj0CL1QsY18gBMaJOU62cbLr9zjk9KWNsq7V7JeJ7Y5QChWT6EeIakj0fcRgc7s6BvUyWiznK1c2a5iOKipUjqG1A/Y5Kk3bBkISjiG0t8nB7qBWlSHURKUfLhXOHCk810jgmSf+kapEOjSyqqmwf1DRmNnPE4FsrktmMy/bBmt7I+hBqwBUJOILgVzHdXbwNdp98JaTF2joh5AKl/IjlNe2FDa0qUhoNSEuX+5D0OjC4EyNcszcaq0Wt8JjhBSoVLcqyBDYWkHZP502fD0QVOFYwZcd6O2KfY+ABuuXvU2tAYwQtqA6Dq+rzNceYFugEhRtTVAlhy9CUN2L9cXl3lbfTxyJ+LIEg02hRzW+bMBrFdWKCIT7Q07d14kkBl/Ca9mhPWjRLxQVznhd5rqk2eo1jJAfrQdwOTX6b2aHTVaPalx+b7a/MHQgRITKr0tVTGfvo8yqxz8+d0iPLfTGXt9aq8c8/kObDmxzvA9Z88sVqFm9RrGfEfqOFkauG4rIgZ6Q9AUjYusLy/x6r7zrjCUj3pfyXe6dOS0E8thGv3v2sL5PYn0D0bgGogj18N40Wl/PQuaR+R6E4+lQX1z2dAU0KEUbiMwes2PJV0WaeUzm2r6jPc+sCnbqF1JYHryvYd8jQFy7oE7XC/tjrHAZVfOotEd4j78B+IJicZN53IyHFR5iXfA+fNG6ebrtcm1nHdzNML+4Q8sLHKf5AuJc0821zXUAsK3t0tEfTn0BiHY8dq0GR2sRhL44RvM9H+85B3oC+mUc/jagLYsVJo9W2Yr3Xbzerb8l+IIL+yo7sMdzsPz4wjbfMZPrOBitb3EhxxYREREREZUHhrYlku+Ee7TqXOv+XGEoZIZCr1rVrCdrCJcQHiA0sMIonICiAhBhLUIyBE0IgnDJPy4lRWA72olu5rKMdiKdb110EKUn9utl3QhNrUtdwQrGECLgpBaXbUuq1YGO9G4TiSTQu9Gbdx6ZAVPP7VENqBc1VGlPTly6juAUvQLRivbcZY0a/mFbWtvJqj5C9fCGTYPD+mEixP3xw3vS4TgGkEOVqjXP7JG8EYZu3NpuXoePqkKHTSssrcDq7aeZVXmY//87ZZFs2HRU95k50JFZMY1AxLrcODOktkKo7NHRR1Tq9YVGVFMhYM4OZAu5ZNYKrlBhd7A3pJWEOzIq7EY7fsc6thFGo5XBq4+do/1REdYhzEbojWpaRMPY1mjTkBl8vfuVy4YFsXrp98E+DegzL/3O9TrCPjVbRZjhNvrR3rM5d4WaVaWIaaJaGl9UZIYdOoiU3ab9fCMYeMxm09eXFcZkXjaOSkXrNYBLt/EawHGw5eigtg6oicRlbk2VrjvaQqAKD72IB0Nmaw7sp+z9gy9M8PrT/px9IW1dgn2V+ZqAzMrZ1XNrdHA3HG/ZX7pks469h3Z0aWsH9HDtCqA/tvn6KLRqbzxhZPaXMvkCz3zHbq4BuLCvUa0djKL3skPfS8Z6ryt0HpnzsQbzwnsOfqK6ONf+yGes10shz8uuuETLG/xdQGCLL4jw/oGrGnBMj3WpfOa08AUCOqCjGjsgCRlKVZePt2Iz17GASuZc23k8l/QXGkpaA4DhdYgrOBDio8UHXrv4Qu5Vq+akvzTNBa8XVOxbf69wJUvmlz7WNkN1Oto1oKIfXxJYPY6hX0SvSMicx2RD1bG21USPLSIiIiIiml4MbWegfCdc2b0EEeaheir7xM0KRtFLEyPJo9IHlZMIbhEgoeoMIUYhJ4oT6Y2Hirbsy5DzhdLWZdX3b2k32xG4nVqJm8pAx9xOWA+r4qjF7pW3nNQq923p0PYAq1uq5MrXrtRqzFwB0c4cvSFRMakn+XopebUGq5nrnCsMRRi5bE61Tmd355BeGm/1prSq8rA6qIA7eXGDPgYVkAjf0cfTyBG+WAP1TGU1VSGXzFr7G4EgqpcREuYKECfCmj8C7ZZaDKRXrwMqWaH563NUFWcadun3YERaas0R6HNVzkKucDuz/UX2NrWqFHNVlGa+rtB3GMuAvr7oUZlru+d7DZivyyF9DaJtyenLm1Lb3KGv0xcOvdz/Onv/WOtj9Zq2jre7c4TQEwlshvX/DMbT4THCKoTfhR5n45l/oY8dz7GLcB6hM74MOaalesQAUZOZR67BvPDlGNp2lKJ/aPZ7xAXHtWglrdWTFvsOXyxkflmVb70yp4W+yAhs8aUVwunjWut0kKzxhou59m++7TyeS/oLPW4y/0bgiyi04KjVlkMjK8DzPR9tJXL9nc3cZhrg22xajYvpZl4Rkv1lROYAZoAv58aL7Q+IiIiIiGYHhrazWL4TN5wc4mQdl2YjdMOJJC51x0+ERbikv9BLeCdyclhINXH2/aiy9bjN3rOYFyoPC5EdXOJSXlT3moFeSL67cZectLhep59dWYmKOVSRZq5b5kk+WiqMtc7WwD8vHe6XQz1m/+A3ndA6ovrPClUw8jvaJWCgqnjqcltUQOLkH9XRuNz+zlBMwz1cjj+V1VSFhLzW/s6s1JuqUCDfZeaFhoEjLv2u9WprAWu75OvzmDlfPA8Vkbm26VjHerp6t4DKUGvfZPdJxesS1cQYeAnzQeCK/Y/5Zve/zrc9MpcTLSUQFiHEnewo8ZlhZObgiejXW+qqvXzHbuY+x+sQFbYI51tqvHLFK8cO5QqZR7bs4wRVlfjyoRQBWvaXami7kd36IFc181jTQsVossGvLWhGO84nIt92LtYl/dmDq2UOqpZPruMq1/7NDvDxZZ11zOWrhsZ7KnouW1dz4HjFFzzFOFaJiIiIiKi8MbQtobEGC5ms0U7cUF2Fy9vNQcsM7Zlpd5tVkxgIrdCTxGKfHOa7vLTQ4CPXaPIYCAuXBKNyEa0LNh3p1z6o2aHWVIQHZvVnWCuaUZ24bsHwS+qzQxUEBu955dIRg3wh1ENgi8pfLDd6GuOS2vFclj4Vx+JEAo5CjdbqohBjBcr5KpNzXUKfa5sWst/HG5RnLxNCewStCGzQ73nzkX495jHwHrZ1Zv/rfAoNocfL2r6FhsfTKd92z9y+GGgRgyaiQnoi71WF7tvJfvkwlQr5Um0i1cx4D0bVLo4FvGdgO0/V36+Jtg6a6N/ViVSeF3pcFbL9s98DUJSLKzkwOCCgdcN4X7fZ64Rtkj2421R+1iAiIiIiouJgaFtCY13ePlmjnYyiShP9SHHSjXALgxc1VI2vzcFY85gK+S4vnWjwgRPWO1KBLQY6SxhxPSnOtd6TDQ9erv50yNrWOTkvqc8+qbeqFq2B2TIfhwpba7kxCB1aMYznsvSpOBbLtRciQgkcxzhM5tR4ZfW8Gr1sOTNQLqSVBwI2DN715N4eHQwPgYzVE7cY654rtF/Y4NfQBhXhGCBpf49ZLYt9Pd5eqKOF0FM1eGI5y96+eP2NNchWqb98mEpT+aVarqsWivn3q1z/ro7nuCpk+2dPK46rQTBAaKrSFi2LJludPR3bhIiIiIiIph5D2xKaSD/YqYJLdnHpv9UvFBV+pbqEdzSjXV46EbkGOkOP3GKt91iVVuMZMMdc7m4NbBv8Hh0gZ6pOvEt5LE4FhBIYCM86ntELttBemZlQEfnioT4ZisS05+n/Pn1QWy4UK+DIFdrjP6t3rM2Ox1RpK45C9kl2lSFC6KkK7cYbWhf7SoJCVHpvz6n8oiHXVQvFes+YzLEzHe9lhR5XhWz/7Gm9bk2LDqJoDSo6Ws/lQrYTHoM2K3g/wTbBF7WFDDbHilwiIiIiotJjaFtCpQwUyukS3uncRvkGOkOP3GKs91ih7HgGzMlc7qle1pkebhUS1BRa9TbZS5PHY7RlumdzmxzsDYrTMbx38mjBSjlV1JXDsrC35/gVGtwV8z2jkGMn33JOx3tZ5nGFvyGoyP/oL5/R26yWNoWGnbmOUTw3c1DRyWwnPAZ9cdGeB72o0doElfITnR4REREREU0fhrYlVMpAoZwu4Z2ObVSqCqJiVrpNpZkebk1V705MZ6ovTR5NvmXCbdgHuUL60YKVcqqYLodlKYd2HjOterHQ4G6s94x86515+4LUl2bZA0EWcuzkW87Rlmuq9kV2C5KfP75fOgciIjZDe6+jmrXQ424yx2gh2wmPWdzol9Y6nw4eiF7UhQw2V+r3DyIiIiIiYmhbUuUQKFTKNmIF0ew+FqcqdMbz0Bu3kEuTS7VPRgtWyqliupyWpZRm2nuPdXwtrPfJE3u75VdPHtDWLJmDDhbS4znfemfefv+WNu3XnD0QZCHHTr7XwWjLVYx9odX58YTU+syPU+gPj3YE0xHSF7KdrMdgnZc0VevggfmWh69ZIiIiIqLywtCWKqJ6jBVEs/tYmqrQ2bosuZBLk0tltGClnCqmy2lZJqOQitHRjtvpeO+Zyvdj6/hCYHuwJ6QD8u3tCsiiBp9sbx/SxxTyWsu33pm3b28zg9PsxxRy7EwkYCzGvtDqfKcjXWmLKlu0I3A5ix/SF7KdxvM6nC2vWSIiIiKi2YKhLVVE9VilVhDNhHB9qo+lmbDOkzFasJIvvC7FNpnp1dvjqRgd7bid6HvPePbZVL6GrOPptqcPalDrcNgk1hsSt9Ou0y806My33pm3oxUJKm2zH1PIsTORgHGq/w5gH6Eyf36tV+wiMrfOK2KIBrbT8QXhVL/eZ8trloiIiIhotmBoSxVRuVqpFUQzIVyf6mNputd5ugPRiQQr5XYczKRgvZCK0dGO24m+94xnn+ValqkI7jD/rqGwRBOGROPJcQWd+dY78/ZzVjVPeCDIibwOpvrvALbvvVs6xOt2yNw6n1y8fl56u5XyC8JCj52Z9DosVzfeeKP8/ve/l23btonP55NXvvKV8h//8R9y7LHHph8TDoflU5/6lNx2220SiUTkwgsvlO9///syd+7LA8IdOHBAPvKRj8gDDzwg1dXVcvnll+u0nc6XP6Y/+OCDcs0118hLL70kixYtks997nPynve8Z9rXmYiIiIimD0NbqojK1dlWQVROl2aX27E03etcboFoLuV2HMyEbWa9xrYdHdDL3RNJQ2IJI2fF6GjH7UTfe8azz3Ity2S3sRVo7uoYkv7WmNT73bJiTlXBQWe+9S7le/FUzDvzvRfHhsthG7aPPnDO8hHB8HSHo4UeOzPhdVju/va3v8nHPvYxecUrXiHxeFz+9V//VS644ALZsmWLVFVV6WOuvvpq2bBhg/z2t7+Vuro6ufLKK+Utb3mLPProo3p/IpGQiy++WObNmyePPfaYHD16VN797neLy+WSr371q/qYvXv36mM+/OEPy69+9SvZuHGjvP/975f58+drCExEREREsxNDW5qQSq1cnep+mBqIhGJS63PJqoxBfsZS7EuzZ/KxNN3rXG6BaC7ldhyMZ5uVohoQ87zxrq3y6K4uqfE6JWkYYiQNraTMVTFajPfA8eyzXMvyw4f2TOq4nG1fdE2VzPfeQ71Bbe/gsNskEIlL11BEtzv2HcJb6zi98/nD0xqOFnrszIT3rnJ39913D/v9Zz/7mbS0tMgzzzwj55xzjvT398tPfvIT+fWvfy2vfe1r9TG33nqrrFmzRp544gk544wz5N5779WQ9/7779fq2xNPPFG+/OUvy2c/+1n54he/KG63W37wgx/IsmXL5Bvf+IZOA89/5JFH5Oabb2ZoS0RERDSLMbSlCeEJfWGyw1VcYgy/fGK/HB0Ii89pl0A0IYub/LJjCgb5mYnh+lQfS9O9zuUWiE7VNilmWDqebVbIFxRTsayZ0+geisjDO7skGk+gRanU+1yyen7tsPkW+z1wPPss17LMhONyokp5WX/mey+qr5NJQ1bOqdbA9nBfWPpCsRHHKZ6DitxILCH7uwNy9+a2oi5zvmMne7u11nln7TFSKghpobGxUX8ivI3FYnL++eenH7N69WpZvHixPP744xra4uf69euHtUtAEIt2CWiFcNJJJ+ljMqdhPeaTn/zktK0bEREREU0/hrYzHHvSlbfscPWBbR1ysC8kezqHJJ4wZMhuE4/TpiOOT8UgP+Uark/ncTrd6zyTg/HR9ksxL50ezzYr5AuKqVjWYdM43C+GGOJxOTRoQwwz3YHWZI/jmXBcTlQpL+vPfO9FuwxUX2Pe39m4UwPbXMcpnnP/ljbpHIqIGDZtt4F1KHSZx/v+me/Yyd5uFxzXoss/G4+RUkgmkxqinnXWWbJu3Tq9ra2tTStl6+vrhz0WAS3usx6TGdha91v3jfaYgYEBCYVC2k83G/rn4j8LHktEREREMwtD2xmOPenKW3a46rCJVu/hkuvBcFziSUMicdERyKdikJ9yNZuP02KGxMUOu639girA+7e2awXgRevMFgDFvHR6PNuskC8opmJZM6dxqCcovUH0cXVJf9AmZ61smvBrrFRfrJXLFzbFUMrL+vO99452nOIxeG1FE0lZ2lQtTodtXMs8Ve+f2dvtSF9Yrjpv1binQ7mht+3mzZu1bUE5wEBmN9xwQ6kXg4iIiIgmgaHtDMeedOUt+wQf4eyhx0NiGHHtg+h3O2X1vBo5cVG9rEz1tJ2NgQyP0/IMu639EoklpXMgol8oYH7FuLx+ouFlIV9QFLKsY80/cxoNVW5Zt6BOmqs96XlONGidzV9YTGb/TibMLmXrh3zvvaMdp3gOvgzBceBx2ce9zGO9fxa6LWdzy4xSw+Bif/7zn+Whhx6ShQsXpm/H4GLRaFT6+vqGVdu2t7frfdZjnnrqqWHTw/3WfdZP67bMx9TW1uassoXrrrtOrrnmmmGVtosWLZqS9SUiIiKi6cHQdgYY7YSsGCdhbLlQvBN8bFvDEG2TgF6Z561pkYuPb53125dhQXmG3dZ+2d89JGIzdD4IlTAfDKQ0ldXcEw0vC/mCAsuGL0Q2bu1IVbOjcj0x7HU11vxzhW5T8bqslC8sxrt/JxNml+OVBmMdp5NZ5rHePwvdluW43WY6wzDkqquukj/84Q/y4IMP6mBhmU455RRxuVyyceNGufTSS/W27du3y4EDB+TMM8/U3/HzK1/5inR0dOggZnDfffdpIHvcccelH3PXXXcNmzYeY00jF4/Ho/8RERER0czF0HYGGO2ErBgnYZVSGVaqE/u3nrpI/6skDAvKM+y29sM9m9vkYG9QnI6XqwCnupq72O0W0Bc6YeDfdrlva4e4nfZhyz/W/ItVvV4pX1iMd/9O5niYaVcaTHaZx3r/LHRbzsTtNhNaIvz617+WO+64Q2pqatI9aOvq6rQCFj/f9773acUrBidDEIuQF2ErBiGDCy64QMPZd73rXfK1r31Np/G5z31Op22Frh/+8Ifle9/7nnzmM5+R9773vfLXv/5VfvOb38iGDRtKuv5EREREVFwMbWeA0U7IinESVimVYdOh0quWs9cf1ZuVtP6TPT6KHXZb7x+YLpajmKF6scPLsd63ShWeluILi4m870z2vWq827dSwuypMNbfeW7L0vmv//ov/XnuuecOu/3WW2+V97znPfrvm2++Wex2u1baYmCwCy+8UL7//e+nH+twOLS1wkc+8hENc6uqquTyyy+XL33pS+nHoIIXAe3VV18t3/72t7UFw49//GOdFhERERHNXgxtZ4DpPiHjCeDUmelVy5MNcoqx/uUahE9kucbaPtNVGVfIfCa73YsdXo71vpU5//l1Xm2n8J2NO4t+DJWiunEir7vJvlbHu3+n8ngo1/eE6cIrGUrbHmEsXq9XbrnlFv0vnyVLloxof5ANwfBzzz03oeUkIiIiopmJoe0MMN0nZLPxBLBUJ/UzvWp5skFOMda/XIPwiSzXTDo+Jrvdix1ejvW+lTn/O58/XJbH0FSZyHE12WNxvPt3Ko+Hcn1PmK6/V2x7QEREREQ0OzG0nQGm+4Qs3/xmcjVTqU7qC61aLtdtO9kgpxhV2+UadE5kuYpd1T6Vx1W5bveJvE+W+7pM1kSOq1zPKdf3pdm+P2dbCE1ERERERBPD0HYGKJcT55l8Ilmqk/pCq5bLddtONlQsRtV2ubbvmMhyFbuqfSqPq3Ld7pW+LlN1XOV6Tq7jx7q91H+PZvP+nG0hNBERERERTQxD2xmgXAK9mXwiOd0n9eMdgKtct+1kQ8ViVImXa/uOiSxXsavop/K4KtftXunrMlXHVa7n5Dp+yuXv0VTuz3L5YnS2htBERERERDQxDG1ngHIJ9GbyieR0hzTjDTbKdduWY6/EclymUi7XaIHTVB5X5brdK31diinX8VPqv0f5jvfJ7M9yC6Jn+5cKRERERERUGIa2M0C5BHoz+URyukOa8QYbhW7bcqsIo9IbLXCaya9ZKr18LRNK+feoGAFrqYPobPxSgYiIiIiIgKHtDFAuwQtPJIsXtBe6bcutIoxKb7TAaSa/ZvkFRenlOn5K/feoGAHrdH4xOtHjmq8HIiIiIqLKw9B2BpjJwUulKlawUW4VYVRaCHK6hyLy0uF+OdQTlIYqd9m01pgsfkFRnkr996gYAet0BtETPa75eiAiIiIiqjwMbYlmULBRLq0yqDwgyDncF5Y6v0v6g3FZt6Bu1rRA4BcUrK6croB1OoPoiR7XfD0QEREREVUehrZEM0ipL00uZ5UYcGFdqzwOWds6R4Oc5mrPrFlnfkHB6srpDlin8j0k37Qmelzz9UBEREREVHkY2hLNIKW+NLmcVWLAVcogp9ghOb+gYHXlTH4PyTetiR7XfD0QEREREVUehrZENCuqWyst4MK2j8aT4rCJxOJJueC4lmkNcoodkvMLClZXzuT3kHzTmuhxzdcDEREREVHlYWhbocopbKPC90u57bdyqm6dCSPATyXM/76tHbrtsb4uh31al6HSQvJSYHXl9L5Wp/I9hIE7ERERERFNFkPbClVOYRsVvl/Kbb+VU3A3E0aAn03bnqFU8bG6cvJfkIzntTqV7yEM3ImIiIiIaLIY2laoUgc+NLH9Um77rZyCu5kwAvxs2vYMpcqr8nq2muwXJON5rU7lewgDdyIiIiIimiyGthVqQb1X7t/SJtvbBsTtsMs5q5pLtiwMPAoP4kod1GWr1OCuHPZDqbd9JYVSY71HlUPl9Ww12S9Ipuq1WujfKf49IyKaGZZeu6HUi0BERDQmhrYVyjBExGYzf7HZzN9LhIFH4UFcqYO6Sg3usoOYc46ZU/L9UCnbvhyM9R5VDpXXs9VkQ9epes8s9O8U/54REREREdFUYWhboY70h2VZc1U6ZDjaHy7ZsjDwKDyIK/egbrZWmTGIqWxjvUe11nnl/q3t5pULToecvbJ0Vy7MNpMNXafqPbPQv1P8e0ZERERERFOFoW2FKofLu8txWWhyZmu4ySCmso31HqUXLViXKxhG+iIGmrxy+aKq0L9Tpfh7Nlu/LCMiIiIiqnQMbStUOV1mX07LQpMzW8PNqQ5iGLLMLGO9Rx3uC8uyOdXp4/5IX+muXKDS/p0qxd+z2fplGRERERFRpWNoW6HKpXqp1MvC8Gxqzdaq6akOYnDM3fnCUekNRuSOYEye2d8r171hDY+9Mn2dj/UeNVuPexr/36nRHlesvzez9csyIiIiIqJKx9CWKhorlKbWbK2anuovFhCyILDtC8YkEkvIo7u69FjksTczX+ez9binmXEc8ksDIiIiIqLZiaEtVTRWKM3eCu5yhpDljlRg63E5pM7n4rE3g1/nPO6plMchvzQgIiIiIpqdGNpSRWOFEpUCQhW0RECFLQLbhio3j71JXkI+2vP4Oq9M5db+pljHIb80ICIiIiKanRjaUkVjhRKVAkIW9LBFoMRjb2ouIR/teXydV6Zya3/D45CIiIiIiMaDoS1VNFYoUanw2JvaS8hHex63dWUqt/Y3PA6JiIiIiGg87ON6NBERUZEvIcel4+O9hHyiz6PZi8cEERERERHNZKy0JaKKVm59LyvdRC8h56XnlI3HBBERERERzWQMbYmoohWj7yWD4Om/hJyXnlM2HhNERERERDSTMbQloik3k0LLYvS9LLcBkIiIiIiIiIhoZmFoS0RTbiaFlgiVsYxT2fey3AZAopllJn3pQURERERERMXB0JaIptxMCi2L0feyGEEwVY6Z9KUHlRcG/kREREREs4ddysAtt9wiS5cuFa/XK6effro89dRTBT3vtttuE5vNJpdccknRl5GIZueo7Vbfy6vOW6U/pyLgQFBy8fp5snJOtf7kAEg00S898LOcv/Sg8gz8d3cO6U/8TkREREREM1PJK21vv/12ueaaa+QHP/iBBrbf+ta35MILL5Tt27dLS0tL3uft27dP/uVf/kXOPvvsaV1eIhpbpY/azgGQaDJYqU2VcJUDERERERGVeaXtN7/5TfnABz4gV1xxhRx33HEa3vr9fvnpT3+a9zmJRELe+c53yg033CDLly+f1uUlotJUrxJVClZqUyVc5UBERERERGVcaRuNRuWZZ56R6667Ln2b3W6X888/Xx5//PG8z/vSl76kVbjve9/75OGHH56mpSUiIio+VmrTRFX6VQ5EREREVB6WXruh4Mfuu+nioi7LTFbS0Larq0urZufOnTvsdvy+bdu2nM955JFH5Cc/+Yk8//zzBc0jEonof5aBAXNQFyIiIqLZhIE/EREREdHsUfL2COMxODgo73rXu+RHP/qRNDc3F/ScG2+8Uerq6tL/LVq0qOjLSURERERERERERDQjK20RvDocDmlvbx92O36fN2/kJX27d+/WAcje+MY3pm9LJpP60+l06uBlK1asGPYctF7AQGeZlbYMbomIiIiIiIiIiKhclTS0dbvdcsopp8jGjRvlkksuSYew+P3KK68c8fjVq1fLpk2bht32uc99Titwv/3tb+cMYz0ej/5HRERERERERERENBOUNLQFVMFefvnlcuqpp8ppp50m3/rWtyQQCMgVV1yh97/73e+WBQsWaJsDr9cr69atG/b8+vp6/Zl9OxEREREREREREdFMVPLQ9rLLLpPOzk65/vrrpa2tTU488US5++6704OTHThwQOz2GdV6l4iIiIiIiIiIiGjCbIZhGFJB0NMWA5L19/dLbW1tqReHiIgor3AsIfe+1Cb7uoOytMkvF6ydJ16Xo9SLRUQzDD//Eg239NoNpV4EIiJK2XfTxaVehLJV8kpbIppZGCIRTR+81jZsahOvyy4vHRnQ29504oJpmTdf60RERERERKXD0JaIZkyIRFRpEJjitba0qUr2dQdkf3dw2ubN1zoREREREVHpsFksEU04RMLP6QyRiCoNKlzDsaQGtvi5pMk/bfPma52IiIiIiKh0WGlLROMOkVB1V4oQiajSoCUBIDDFa836fTrwtU5ERERERFQ6DG2JaMaESESVBj1kS9WSgK91IiIiIiKi0mFoS0QzJkQiounD1zoREREREVHpsKctERERERERERERURlhaEtERERERERERERURhjaEhEREREREREREZUR9rQlIqpw4VhC7n2pTfZ1B2VpasAp9DMlIiIiIiIiotJgaEtEVOEQ2G7Y1CZel11eOjKgt3EAKiIiIiIiIqLSYXsEIqIKhwpbBLZLm6r05/7uYKkXiYiIiIiIiKiiMbQlIqpwaIkQjiVlX3dAfy5p8pd6kYiIiIiIiIgqGtsjEBFVOPSwBVTYIrC1ficiIiIiIiKi0mBoS0RU4TDoGHvYEhEREREREZUPhrZEREQ0QjiW0EHq0PN4aaoCGwE/ERERERERFR9DWyIiIhoBge2GTW06ON1LRwb0NlZkExERERERTQ8OREZEREQjoMIWge3Spir9iZ7HREREREREND0Y2hIREdEIaIkQjiVlX3dAf2KQOiIiIiIiIpoebI9AREREI6CHLaDCFoGt9TsREREREREVH0NbIiIiGgGDjrGHLRERERERUWmwPQIRERERERERERFRGWFoS0RERERERERERFRGGNoSERERERERERERlRGGtkRERERERERERERlhKEtERERERERERERURlhaEtERERERERERERURpylXgAiIiIiIiIiIiKqPEuv3TCux++76WKpFKy0JSIiIiIiIiIiIiojDG2JiIiIiIiIiIiIygjbIxAREREREVHFXFpLREQ0E7DSloiIiIiIiIiIiKiMMLQlIiIiIiIiIiIiKiMMbYmIiIiIiIiIiIjKCENbIiIiIiIiIiIiojLC0JaIiIiIiIiIiIiojDC0JSIiIiIiIiIiIiojDG2JiIiIiIiIiIiIyghDWyIiIiIiIiIiIqIywtCWiIiIiIiIiIiIqIwwtCUiIiIiIiIiIiIqIwxtiYiIiIiIiIiIiMoIQ1siIiIiIiIiIiKiMsLQloiIiIiIiIiIiKiMMLQlIiIiIiIiIiIiKiMMbYmIiIiIiIiIiIjKCENbIiIiIiIiIiIiojLiLPUCEBEREREREWVaeu2GUi8CERFRSbHSloiIiIiIiIiIiKiMMLQlIiIiIiIiIiIiKiMMbYmIiIiIiIiIiIjKCENbIiIiIiIiIiIiojLCgciIiIiIiMrcLbfcIl//+telra1NTjjhBPnud78rp512WqkXi2hcOLgYERFN59+SfTddLDMZK22JiIiIiMrY7bffLtdcc4184QtfkGeffVZD2wsvvFA6OjpKvWhEREREVCQ2wzAMqSADAwNSV1cn/f39UltbW+rFISIiIiIa1emnny6veMUr5Hvf+57+nkwmZdGiRXLVVVfJtddeO+bz+fmXionVs0REVK72zfBKW7ZHICIiIiIqU9FoVJ555hm57rrr0rfZ7XY5//zz5fHHHy/pstHsxSCWiIio9CoutLUKi1FxQERERETlo6amRmw2W6kXo6x0dXVJIpGQuXPnDrsdv2/bti3ncyKRiP5nQYUt8PNvaaz7wj2lXgQiIqKKtPjq3xb82M03XCjl9tm34kLbwcFB/YlLyoiIiIiofPDy/alx4403yg033DDidn7+JSIiIsqt7ltSdp99Ky60bW1tlYMHD05bJQcqGvABGfPkScjMw/03s3H/zWzcfzMb99/MVqr9h89nNFxzc7M4HA5pb28fdjt+nzdvXs7noJUCBi6zoAduT0+PNDU1jfr5l6/bwnA7FYbbaWzcRoXhdioMt1NhuJ0Kw+00PdtorM++FRfaogfYwoULp32+2IE80Gcu7r+ZjftvZuP+m9m4/2Y27r/Sc7vdcsopp8jGjRvlkksuSYew+P3KK6/M+RyPx6P/Zaqvry94ntzvheF2Kgy309i4jQrD7VQYbqfCcDsVhtuptNuo4kJbIiIiIqKZBFWzl19+uZx66qly2mmnybe+9S0JBAJyxRVXlHrRiIiIiKhIGNoSEREREZWxyy67TDo7O+X666+XtrY2OfHEE+Xuu+8eMTgZEREREc0eDG2LDJemfeELXxhxiRrNDNx/Mxv338zG/Tezcf/NbNx/5QetEPK1Q5gq3O+F4XYqDLfT2LiNCsPtVBhup8JwOxWG26k8tpHNMAyjaFMnIiIiIiIiIiIionGxj+/hRERERERERERERFRMDG2JiIiIiIiIiIiIyghDWyIiIiIiIiIiIqIywtB2Ctxyyy2ydOlS8Xq9cvrpp8tTTz016uN/+9vfyurVq/Xx69evl7vuumvalpUmt/9+9KMfydlnny0NDQ363/nnnz/m/qbyev1ZbrvtNrHZbHLJJZcUfRlp6vZfX1+ffOxjH5P58+drw/djjjmG76EzaP9961vfkmOPPVZ8Pp8sWrRIrr76agmHw9O2vGR66KGH5I1vfKO0trbq++Af//jHMZ/z4IMPysknn6yvu5UrV8rPfvazaVlWKr6vfOUr8spXvlL8fr/U19cX9BwMiXH99dfrezFez/g8tHPnTpnNenp65J3vfKfU1tbqdnrf+94nQ0NDoz6nra1N3vWud8m8efOkqqpKX0O/+93vZLaayDaCxx9/XF772tfqNsJzzznnHAmFQjJbTXQ7Wa+917/+9QW/d1fSdsLjr7rqqvTnjMWLF8vHP/5x6e/vl9mE2UNheI4/Np5Hz5DzVQxERhN32223GW632/jpT39qvPTSS8YHPvABo76+3mhvb8/5+EcffdRwOBzG1772NWPLli3G5z73OcPlchmbNm2a9mWn8e+/d7zjHcYtt9xiPPfcc8bWrVuN97znPUZdXZ1x6NChaV92Gv/+s+zdu9dYsGCBcfbZZxtvfvObp215aXL7LxKJGKeeeqrxhje8wXjkkUd0Pz744IPG888/P+3LTuPff7/61a8Mj8ejP7Hv7rnnHmP+/PnG1VdfPe3LXunuuusu49/+7d+M3//+9xiM1vjDH/4w6uP37Nlj+P1+45prrtHPLt/97nf1s8zdd989bctMxXP99dcb3/zmN3X/4jNNIW666SZ97B//+EfjhRdeMN70pjcZy5YtM0KhkDFbXXTRRcYJJ5xgPPHEE8bDDz9srFy50nj7298+6nNe97rXGa94xSuMJ5980ti9e7fx5S9/2bDb7cazzz5rzEYT2UaPPfaYUVtba9x4443G5s2bjW3bthm33367EQ6HjdlqItvJgtfq61//+oLeuyttO+F8+i1veYtx5513Grt27TI2btxorFq1yrj00kuN2YLZQ2F4jj82nkfPnPNVhraTdNpppxkf+9jH0r8nEgmjtbVVP3jk8ra3vc24+OKLh912+umnGx/60IeKvqw0+f2XLR6PGzU1NcbPf/7zIi4lTeX+wz575Stfafz4xz82Lr/88or4YzNb9t9//dd/GcuXLzei0eg0LiVN1f7DY1/72tcOuw0h0VlnnVX0ZaX8Cjnx/8xnPmOsXbt22G2XXXaZceGFFxZ56Wg63XrrrQWFtslk0pg3b57x9a9/PX1bX1+ffinzv//7v8ZshLADr5Wnn346fdtf/vIXw2azGYcPH877vKqqKuMXv/jFsNsaGxuNH/3oR8ZsM9FthPMgBEmVYqLbCRAoISw5evTorA9tJ7OdMv3mN7/RwCUWixmzAbOHwvAcf2w8j54556tsjzAJ0WhUnnnmGS2ft9jtdv0dl/nkgtszHw8XXnhh3sdTee2/bMFgUGKxmDQ2NhZxSWkq99+XvvQlaWlp0UusaGbtvzvvvFPOPPNMvdxk7ty5sm7dOvnqV78qiURiGpecJrr/cPk1nmNdUrRnzx69VOgNb3jDtC03TQw/u1CmvXv36mX/mcdEXV2dXjI4W48JrBcuzz711FPTt2H98b735JNP5n0e3vduv/12vWw7mUzqJaVoCXPuuefKbDORbdTR0aH34XMZthX+tr/61a+WRx55RGariR5LOOd4xzveoZfpot3GbDfR7ZQNrRHQXsHpdMpMx+yhMDzHHxvPo2fW+erMf/cqoa6uLt342BmZ8Pu2bdtyPgcfcnM9HrdT+e+/bJ/97Ge1J2D2H0Mqz/2Hk4Cf/OQn8vzzz0/TUtJU7j+EfH/961+1vxnCvl27dslHP/pR/VD1hS98YZqWnCa6/3Cyiee96lWv0p588XhcPvzhD8u//uu/TtNS00Tl++wyMDCgfSfRO5Aqh/WZtZI+z2K9cKKaCSEQTuhHW+ff/OY3ctlll0lTU5M+Hn2D//CHP2hf6NlmItsIf9fhi1/8ovznf/6nnHjiifKLX/xCzjvvPNm8ebOsWrVKZpuJHkvoAY9g+81vfrNUgolup0z4zPHlL39ZPvjBD8pswOyhMDzHHxvPo2fW+SorbYkm6KabbtKKCXz4RlNqKm+Dg4M6GAgazTc3N5d6cWgCUKWED/A//OEP5ZRTTtET4X/7t3+TH/zgB6VeNCoABrLCN83f//735dlnn5Xf//73smHDBj2hIqKpde211+ogIaP9V+jJ62xW7O30+c9/Xgckuf/+++Xvf/+7XHPNNfK2t71NNm3aJDNFMbcR/q7Dhz70IbniiivkpJNOkptvvlkHkvrpT38qM0kxtxMqtxACYDDPmW663pvwpeLFF18sxx13nH4pQFQonuOPxPPo0p6vstJ2EnDAOhwOaW9vH3Y7fs932QpuH8/jqbz2nwXVAHhDx4fw448/vshLSlOx/3bv3i379u3TEdOzTxbwzf327dtlxYoV07DkNNHXH0bgdLlc+jzLmjVrtFoAl6+43e6iLzdNfP8hvMAHvve///36O0YwDgQCWgGDDzO43IjKU77PLrjklFW25elTn/qUvOc97xn1McuXL5/QtK3XOI4BvC9b8DsqJWfjdsI641L+TLhaAG0P8r3n4XPH9773Pa0YXbt2rd52wgknyMMPP6yXuM+ULxyLuY2s4wfBWib8bT9w4IDMJMXcTghscTyhXUCmSy+9VEe8x5eiM0Uxt1NmwHTRRRdJTU2NBm/47DgbMHsoDM/xx8bz6Jl1vsozpEnABkd6vnHjxmEHL35HH4tccHvm4+G+++7L+3gqr/0HX/va17Qy7O677x7WZ4nKe/+tXr1aK1twSYf135ve9CZ5zWteo/9etGjRNK9BZZvI6++ss87SS0ysDwmwY8cO/ePIwLb89x/6g2UHs9YHGnM8LCpX/Owy88yZM0f/7o3230TfN5ctW6YnK5nHBKra0Gdyph0ThW4nrBcqZtHbLjNIw/seevnme8+DXO97mX/HKnkbLV26VC9Bxgl/JvxtX7JkicwkxdxOqE598cUXh32GBVQl33rrrTKTFHM7We9FF1xwgU4DFcqzqVKS2UNheI4/Np5Hz7Dz1Skb0qxC3XbbbTpa7s9+9jMd5fKDH/ygUV9fb7S1ten973rXu4xrr702/fhHH33UcDqdxn/+538aW7duNb7whS8YLpfL2LRpUwnXonKNd//ddNNNOgLp//3f/+nIrdZ/g4ODJVyLyjXe/ZetUka9nC3778CBAzqS65VXXmls377d+POf/2y0tLQY//7v/17Ctahc491/+HuH/YfR5ffs2WPce++9xooVK3RkY5pe+JuFUcjxHz4KfvOb39R/79+/X+/HfsP+s2B/+f1+49Of/rR+drnlllsMh8Nh3H333SVcC5oq2O/Y/zfccINRXV2dPjYyP9sce+yxxu9///thn4fwer/jjjuMF198Uf+WLlu2zAiFQsZsddFFFxknnXSS8eSTTxqPPPKIsWrVKuPtb397+v5Dhw7pdsL9gJGjV65caZx99tl6265du/Tzv81mMzZs2GDMRuPdRnDzzTcbtbW1xm9/+1tj586dxuc+9znD6/Xq9pqtJrKdsuG9+w9/+IMxm413O/X39xunn366sX79ej1+Ms/VMOr9bMDsoTA8xx8bz6NnzvkqQ9sp8N3vftdYvHixvtBPO+0044knnkjf9+pXv1oP6Ey/+c1vjGOOOUYfv3bt2ln7wW027r8lS5boh6Ts//AHkGbG668S/9jMpv332GOP6Qdy/PFcvny58ZWvfGXWfBCf7fsvFosZX/ziFzWoxQn5okWLjI9+9KNGb29viZa+cj3wwAM5/5ZZ+ws/sf+yn3PiiSfqvsZr79Zbby3R0tNUw/7OdTxgn1vwe+Y+TyaTxuc//3lj7ty5+n583nnn6cnJbNbd3a2BEYJthIxXXHHFsBP6vXv3jthuO3bsMN7ylrfoCRu++Dj++OONX/ziF8ZsNZFtBDfeeKOxcOFC3UZnnnmm8fDDDxuz2US3U6WFtuPdTvn+tuE/PHa2YPZQGJ7jj43n0TPjfNWG/5tYjS4RERERERERERERTTX2tCUiIiIiIiIiIiIqIwxtiYiIiIiIiIiIiMoIQ1siIiIiIiIiIiKiMsLQloiIiIiIiIiIiKiMMLQlIiIiIiIiIiIiKiMMbYmIiIiIiIiIiIjKCENbIiIiIiIiIiIiojLC0JaIiIiIiIiIiIiojDC0JaKK9uCDD4rNZpO+vj6ZDaZjffbt26fzeP7554s2DyIiIiKqLO95z3vkkksuGfUx5557rnzyk5+c0vl+8YtflBNPPHFKp0lENBWcUzIVIiIiIiIiIqIJ+va3vy2GYZR6MYiIygZDWyKiaRaNRsXtdpd6MYiIiIiIyuYzbl1d3ZQuDxHRTMf2CEQ0q0UiEfn4xz8uLS0t4vV65VWvepU8/fTTIx736KOPyvHHH6+POeOMM2Tz5s3p+/bv3y9vfOMbpaGhQaqqqmTt2rVy1113pe/HY1//+tdLdXW1zJ07V971rndJV1fXsMu4rrzySr2Uq7m5WS688EJ5xzveIZdddtmwZYjFYnr/L37xC/09mUzKjTfeKMuWLROfzycnnHCC/N///d+w52A5jjnmGL3/Na95jbYuGE0h87377rt1O9XX10tTU5P8wz/8g+zevTvvNH/2s5/pYzP98Y9/1BYKme644w45+eSTdRsvX75cbrjhBonH43ofqipwadrixYvF4/FIa2ur7jciIiIiKk+5PuOO9bkYn2XXr1+vn13xOfP888+XQCCQsz0Cbn/3u9+t05o/f7584xvfGLEM+LyJz52Z8LkUn08tn/3sZ/Xzst/v18+gn//85/Xz72jtxk477TT93I9pnXXWWXo+QEQ03RjaEtGs9pnPfEZ+97vfyc9//nN59tlnZeXKlfqBsqenZ9jjPv3pT+sHQQS6c+bM0ZDW+jD3sY99TMPfhx56SDZt2iT/8R//oR8eAb1jX/va18pJJ50kf//73zXwbG9vl7e97W3Dpo/5o/IA4fAPfvADeec73yl/+tOfZGhoKP2Ye+65R4LBoPzjP/6j/o7AFkEqHv/SSy/J1VdfLf/8z/8sf/vb3/T+gwcPylve8hZdVvSXff/73y/XXnvtqNujkPniA/I111yj67Nx40ax2+16H0LkiXr44Yf1Q/cnPvEJ2bJli/z3f/+3fpj+yle+ovdjH9188816+86dO/XDNz7QExEREVH5yvyMe9NNN436ufjo0aPy9re/Xd773vfK1q1bNRzFZ9l8LRHw+Ryfe/HF/7333quPx+f58aqpqdHPnfgMihYMP/rRj/RzZy4oKEBw/OpXv1pefPFFefzxx+WDH/zgiGIEIqJpYRARzVJDQ0OGy+UyfvWrX6Vvi0ajRmtrq/G1r31Nf3/ggQfwKdG47bbb0o/p7u42fD6fcfvtt+vv69evN774xS/mnMeXv/xl44ILLhh228GDB3Wa27dv199f/epXGyeddNKwx8RiMaO5udn4xS9+kb7t7W9/u3HZZZfpv8PhsOH3+43HHnts2PPe97736ePguuuuM4477rhh93/2s5/Veff29uZc3rHmm0tnZ6dOc9OmTfr73r179ffnnntOf7/11luNurq6Yc/5wx/+oI+xnHfeecZXv/rVYY/5n//5H2P+/Pn672984xvGMccco/uHiIiIiMpf9mfcsT4XP/PMM/rvffv25Zze5Zdfbrz5zW/Wfw8ODhput9v4zW9+M+Iz+ic+8Yn0bZgePndmwudSfD7N5+tf/7pxyimnpH//whe+YJxwwgnpeWCaDz744Di2BBFRcbDSlohmLVzSj2pZXNJkcblcerkTvt3PdOaZZ6b/3djYKMcee2z6MbhM/9///d91Ol/4whf0W3fLCy+8IA888IBW3lr/rV69Oj1/yymnnDJsfk6nU6sOfvWrX6WrW1FFgEpY2LVrl1a/vu51rxs2bVTeWtPF8p1++ul51yOXseYLqHRFFQQuH6utrZWlS5fq7QcOHJCJwnb60pe+NGxdPvCBD2jFBdbz//2//yehUEjnidv/8Ic/pFsnEBEREVF5yvyMO9bnYrT6Ou+88/RqKnz2Q8Vrb29vzuni8eiRm/lZ1/qMPl633367fo6fN2+eLtPnPve5vJ9rMQ+0acCVebiaDZW5+LxKRFQKDG2JiMaAtgN79uzRnlxoj3DqqafKd7/7Xb0PbQas9gSZ/yH4POecc9LTQE+sbAhK0X6go6ND2wGgt9dFF12Uni5s2LBh2HRxWVd2X9vxGm2+gPVB+wh8kH7yySf1P8AH51zQPiH7srbsPmFYH/SwzVwXbEtsJ/S4XbRokWzfvl2+//3v6/J89KMf1e03Wr8xIiIiIiqtzM+4Y30udjgcct9998lf/vIXOe644/TzNELYvXv3Tnj+aFsw2udQtDfAZ983vOEN8uc//1mee+45+bd/+7e8n2vh1ltv1ee98pWv1MAX/XCfeOKJCS8jEdFEMbQlollrxYoV6R5bmR/i0LcWHxQzZX4Qwzf+O3bskDVr1qRvQ6j44Q9/WH7/+9/Lpz71KQ00AQNrod8sqlHRLzfzv1xBbSZ8EMR08WEQla+oOEAlMGD5MCAXqgCyp4vnAJbvqaeeyrseE5lvd3e3hqeoQEAlBOaRrwLCgh7Ag4OD6UEkAB/QM2E7YbrZ64L/EPoCwlp80P/Od76jPcvwYRnBLhERERGVv0I+FyNkRdUrvsxHgIrP6rjCKtfneHw+tYoHMj+jZ38OzayERUCMq7gsjz32mCxZskSDWhRerFq1qqBBxdCX97rrrtPnr1u3Tn79619PeLsQEU2Uc8LPJCIqc/hw+JGPfEQHMcClTosXL5avfe1r+kHufe9737DH4tJ9jGCLUW7xoQ4j4Fqj12JEXIyCi2/Z8WERl31ZgS4GKUOAi3YCGPQM80Frg9tuu01+/OMfa0XBaN7xjnfoQGP4AIrpZg6Y8C//8i86+BgGAHvVq14l/f39GkCjZcHll1+uITIGT8P6oRr4mWeeGTZS7kTm29DQoNvhhz/8oY7Si9B4rMHNcNkaRuP913/9V20lgQ/X2ctx/fXXyz/8wz/oPnjrW9+qQS0uocMIw2g9gccnEon0tH75y19qiIsP2URERERU/sb6XGwNcnvBBRdIS0uLfmbs7OwcVihhQRsDfF7H51x8NsXj8Rnd+rLfgoHPvve972mLMHyW/OxnP5suRgCEtPg8i2V4xSteoVex5QqJLaj6xefgN73pTdLa2qpFBwiCMaAuEdF0Y6UtEc1qGMX20ksv1dYG+PYfHxzvueceDSezH/eJT3xC+3K1tbXJn/70J/3mH/ABEB9C8YESbQQQ3uIyfsCHOQSpeAw+gKJHF0Le+vr6ER8qc8HlWmh5sGDBgmG9d+HLX/6yfP7zn5cbb7wxPW980Fy2bJnejwD0d7/7nbY4QI8whLBf/epXC9ou+eaLZcaHWgTAqCpAaPz1r3991GnhAzlC1rvuukvX/3//93/li1/84rDHoC8YLknDyL/4wHzGGWfoqL1WKIvthQ/5WJbjjz9e7r//ft0H+JBOREREROVvrM/FKDx46KGHtFUBPk/jyi4UIKA4Ihd8Bj377LP1Sqzzzz9fixiyx4nA83EFGR6HogQUPaAAwILwFZ9nr7zySjnxxBO1chafr/PBc7dt26bnD1jGD37wg3oe8KEPfWgKtxQRUWFsGI2swMcSERERERERERERUZGx0paIiIiIiIiIiIiojDC0JSIiIiIiIiIiIiojDG2JiIiIiIiIiIiIyghDWyIiIiIiIiIiIqIywtCWiIjo/7djxwQAAAAIg+yf2ho7IAYDAACADmkLAAAAABAibQEAAAAAQqQtAAAAAECItAUAAAAACJG2AAAAAAAh0hYAAAAAIETaAgAAAACs4y92C3mXS40iAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1400x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ft.evaluate_performance(\n",
+    "    model=fish_model,\n",
+    "    guide=fish_outcome[\"guide\"],\n",
+    "    predictors=fish2_predictor_dict,\n",
+    "    outcome=fish2_outcome_dict,\n",
+    "    num_samples=1000,\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bbe327d7",
+   "id": "bbe327d7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/foraging/Fish/clean_ipynb_conflicts.py b/docs/foraging/Fish/clean_ipynb_conflicts.py
new file mode 100644
index 00000000..ea98f2db
--- /dev/null
+++ b/docs/foraging/Fish/clean_ipynb_conflicts.py
@@ -0,0 +1,42 @@
+import sys
+
+def resolve_git_conflicts(ipynb_path, output_path=None):
+    if output_path is None:
+        output_path = ipynb_path  # Overwrite in place if no output path is given
+
+    with open(ipynb_path, 'r', encoding='utf-8') as f:
+        lines = f.readlines()
+
+    cleaned_lines = []
+    in_conflict = False
+    keep_lines = False
+
+    for line in lines:
+        if line.startswith("<<<<<<<"):
+            in_conflict = True
+            keep_lines = False
+            continue
+        elif line.startswith("======="):
+            keep_lines = True  # Start keeping the bottom version
+            continue
+        elif line.startswith(">>>>>>>"):
+            in_conflict = False
+            keep_lines = False
+            continue
+
+        if not in_conflict or keep_lines:
+            cleaned_lines.append(line)
+
+    with open(output_path, 'w', encoding='utf-8') as f:
+        f.writelines(cleaned_lines)
+
+    print(f"Conflicts resolved. Clean file saved to: {output_path}")
+
+# Example usage:
+# resolve_git_conflicts("path/to/notebook.ipynb")
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python clean_ipynb_conflicts.py notebook.ipynb [output.ipynb]")
+    else:
+        resolve_git_conflicts(sys.argv[1], sys.argv[2] if len(sys.argv) > 2 else None)